Public Sentiment and the State Standards
Text Mining Module 1 Overview
The LASER Team
August 11, 2021
1. PREPARE
The transition to digital learning has made available new sources of data, providing researchers new opportunities for understanding and improving STEM learning. Data sources such as digital learning environments and administrative data systems, as well as data produced by social media websites and the mass digitization of academic and practitioner publications, hold enormous potential to address a range of pressing problems in STEM Education, but collecting and analyzing text-based data also presents unique challenges.
Text Mining (TM) Module 1: Public Sentiment and the State Standards will help demonstrate how text mining can be applied in STEM education research and provide LASER Institute scholars hands-on experience with popular techniques for collecting, processing, and analyzing text-based data. The four LASER Summer Workshop learning labs previewed in this walkthrough address the following topics and are and structured based on the data-intensive research workflow from Learning Analytics Goes to School(Krumm et al., 2018).
Learning Lab 1: Tidy Text, Tokens, & Twitter. We take a closer look at the literature to prepare for our analysis; wrangle our data into a one-token-per-row tidy text format; and use simple word counts to explore our tweets about the common core and next generation science standards.
Learning Lab 2: Come to the Dark Side. We focus on the use of lexicons in our third lab and introduce the {vader} package to model the sentiment of tweets about the NGSS and CCSS state standards in order to better understand public reaction to these two curriculum reform efforts.
Learning Lab 3: A Tale of Two Standards. We wrap our look at public sentiment around STEM state curriculum standards by selecting an analysis that provides some unique insight; refining and polishing a data product; and writing a brief narrative to communicate findings in response to our research questions.
Learning Lab 4: rTweet & the Twitter API (Optional). This supplemental learning lab will get you up and running with the Twitter API in case you are interested in using data from Twitter in your own research. This lab can only be completed by those who created a Twitter Developer account.
1a. Review the Literature
Text Mining Module 1 is guided by a recent publication by Understanding Public Sentiment About Educational Reforms: The Next Generation Science Standards on Twitter (Rosenberg et al., 2021). This study in turn builds on upon previous work by Wang & Fikis (2017) examining public opinion on the Common Core State Standards (CCSS) on Twitter. For Module 1, we will focus on analyzing tweets about the Next Generation Science Standards (NGSS) and Common Core State Standards (CCSS) in order to better understand key words and phrases that emerge, as well as public sentiment towards these two curriculum reform efforts.
Twitter and the Next Generation Science Standards
Abstract
System-wide educational reforms are difficult to implement in the United States, but despite the difficulties, reforms can be successful, particularly when they are associated with broad public support. This study reports on the nature of the public sentiment expressed about a nationwide science education reform effort, the Next Generation Science Standards (NGSS). Through the use of data science techniques to measure the sentiment of posts on Twitter about the NGSS (N = 565,283), we found that public sentiment about the NGSS is positive, with only 11 negative posts for every 100 positive posts. In contrast to findings from past research and public opinion polling on the Common Core State Standards, sentiment about the NGSS has become more positive over time—and was especially positive for teachers. We discuss what this positive sentiment may indicate about the success of the NGSS in light of opposition to the Common Core State Standards.
Data Sources
Similar to what we’ll be learning in this lab, Rosenberg et al. used publicly accessible data from Twitter collected using the Full-Archive Twitter API and the rtweet package in R. Specifically, the authors accessed tweets and user information from the hashtag-based #NGSSchat online community, all tweets that included any of the following phrases, with “/” indicating an additional phrase featuring the respective plural form: “ngss,” “next generation science standard/s,” “next gen science standard/s.”
Data used in this lab was pulled using an Academic Research developer account and the {academictwitter} package, which uses the Twitter API v2 endpoints and allows researchers to access the full twitter archive.
For those that created a standard developer account, the rtweet & the Twitter API supplemental learning lab will show you how to pull your own data from Twitter.
If you created an academic developer account, this brief code snipped, or gist shows you how to access posts for any term over any time period using the {academictwitteR} package.
Data for this lab includes all tweets from January through May of 2021 that included the following terms: #ccss, common core, #ngsschat, ngss. Below is an example of the code used to retrieve CCSS data for this lab. It is set not to run, and won’t run if you try because your account isn’t setup/authenticated with Twitter, but it does illustrate the search query used, variables selected, and time frame.
library(academictwitteR)
library(tidyverse)
ccss_tweets_2021 <-
get_all_tweets('(#commoncore OR "common core") -is:retweet lang:en',
"2021-01-01T00:00:00Z",
"2021-05-31T00:00:00Z",
bearer_token,
data_path = "ccss-data/",
bind_tweets = FALSE)
ccss_tweets <- bind_tweet_jsons(data_path = "ccss-data/") %>%
select(text,
created_at,
author_id,
id,
conversation_id,
source,
possibly_sensitive,
in_reply_to_user_id)
write_csv(ccss_tweets, here("data", "ccss-tweets.csv"))Analysis
Also similar to what we’ll demonstrate in Lab 3, the authors determined Tweet sentiment using the Java version of SentiStrength to assign tweets to two 5-point scales of sentiment, one for positivity and one for negativity, because SentiStrength is a validated measure for sentiment in short informal texts (Thelwall et al., 2011). In addition, they used this tool because Wang and Fikis (2019) used it to explore the sentiment of CCSS-related posts. We’ll be using the AFINN sentiment lexicon which also assigns words in a tweet to two 5-point scales, in addition to exploring some other sentiment lexicons to see if they produce similar results.
The authors also used the lme4 package in R to run a mixed effects (or multi-level) model to determine if sentiment changes over time and differs between teachers and non-teacher. We won’t look at the relationships between tweet sentiment, time and teachers in these labs, but we will take a look at the correlation between words within tweets in TM Learning Lab 2.
Summary of Key Findings
- Contrasting with sentiment about CSSS, sentiment about the NGSS science education reform effort is overwhelmingly positive, with approximately 9 positive tweets for every negative tweet.
- Teachers were more positive than non-teachers, and sentiment became substantially more positive over the ten years of NGSS-related posts.
- Differences between the context of the tweets were small, but those that did not include the #NGSSchat hashtag became more positive over time than those posts that did not include the hashtag.
- Individuals posted more tweets during #NGSSchat chats, the sentiment of their posts was more positive, suggesting that while the context of individual tweets has a small effect (with posts not including the hashtag becoming more positive over time), the effect upon individuals of being involved in the #NGSSchat was positive.
Finally, you can watch Dr. Rosenberg provide a quick 3-minute overview of this work at <https://stanford.app.box.com/s/i5ixkj2b8dyy8q5j9o5ww4nafznb497x>
1b. Define Questions
One overarching question that Silge and Robinson (2018) identify as a central question to text mining and natural language processing, and that we’ll explore throughout the text mining labs this year, is the question:
How do we to quantify what a document or collection of documents is about?
The questions guiding the Rosenberg et al. study attempt to quantify public sentiment around the NGSS and how that sentiment changes over time. Specifically, they asked:
- What is the public sentiment expressed toward the NGSS?
- How does sentiment for teachers differ from non-teachers?
- How do tweets posted to #NGSSchat differ from those without the hashtag?
- How does participation in #NGSSchat relate to the public sentiment individuals express?
- How does public sentiment vary over time?
For our first lab on text mining in STEM education, we’ll use approaches similar to those used by the authors cited above to better understand public discourse surrounding these standards, particularly as they relate to STEM education. We will also try to guage public sentiment around the NGSS, by comparing how much more positive or negative NGSS tweets are relative to CSSS tweets. Specifically, in the next four learning lab we’ll attempt to answer the following questions:
- What are the most frequent words or phrases used in reference to tweets about the CCSS and NGSS?
- What words and hashtags commonly occur together?
- How does sentiment for NGSS compare to sentiment for CCSS?
1c. Load Libraries
tidyverse 📦
As noted in our Getting Started activity, R uses “packages” and add-ons that enhance its functionality. One package that we’ll be using extensively is {tidyverse}. The {tidyverse} package is actually a collection of R packages designed for reading, wrangling, and exploring data and which all share an underlying design philosophy, grammar, and data structures. This shared features are sometimes “tidy data principles.”
Click the green arrow in the right corner of the “code chunk” that follows to load the {tidyverse} library as well as the {here} package introduced in previous labs.
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──## ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
## ✓ tibble 3.1.1 ✓ dplyr 1.0.6
## ✓ tidyr 1.1.3 ✓ stringr 1.4.0
## ✓ readr 1.4.0 ✓ forcats 0.5.1## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()library(here)## here() starts at /Users/joshuarosenberg/aera-workshopAgain, don’t worry if you saw a number of messages: those probably mean that the tidyverse loaded just fine. Any conflicts you may have seen mean that functions in these packages you loaded have the same name as functions in other packages and R will default to function from the last loaded package unless you specify otherwise.
tidytext 📦
As we’ll learn first hand in this module, using tidy data principles can also make many text mining tasks easier, more effective, and consistent with tools already in wide use. The {tidytext} package helps to convert text into data frames of individual words, making it easy to to manipulate, summarize, and visualize text using using familiar functions form the {tidyverse} collection of packages.
Let’s go ahead and load the {tidytext} package:
library(tidytext)For a more comprehensive introduction to the tidytext package, we cannot recommend enough the free online book, Text Mining with R: A Tidy Approach (Silge & Robinson, 2017). If you’re interested in pursuing text analysis using R post Summer Workshop, this will be a go to reference.
The vader Package 📦
The {vader} package is for the Valence Aware Dictionary for sEntiment Reasoning (VADER), a rule-based model for general sentiment analysis of social media text and specifically attuned to measuring sentiment in microblog-like contexts.
To learn more about the {vader} package and its development, take a look at the article by Hutto and Gilbert (2014), VADER: A Parsimonious Rule-based Model forSentiment Analysis of Social Media Text.
Let’s go ahead and load the VADER library:
library(vader)Note: The {vader} package can take quite some time to run on a large dataset like ours so it’s included in our R-each section for you to explore at your leisure. The example show in the reach section includes just a small(ish) subset of tweets for demonstration purposes.
2. WRANGLE
The importance of data wrangling, particularly when working with text, is difficult to overstate. Just as a refresher, wrangling involves the initial steps of going from raw data to a dataset that can be explored and modeled (Krumm et al., 2018). Learning Lab 2 will have a heavy emphasis on preparing text for analysis and in particular we’ll learn how to:
- Import Data. First we revisit the familiar
read_csv()function for reading in our CCSS and NGSS tweets - Tidy Text. We introduce the {tidytext} package to “tidy” and tokenize our tweets in order to create our data frame for analysis.
- Remove Stop Words. We revisit the concept of joins to remove “stop words” that don’t add much value to our analysis.
2a. Import and View Data
First, let’s “read” in tweets about the our Common Core State Standards. We’ll use the read_csv() and here() functions from the {tidyverse} collection of packages to import our ccss_tweets.csv file saved in the data folder accessible from the Files pane of RStudio Cloud.
Run the following code to read in our state standards data, save as a data frame called ss_tweets in the R environment, and preview our newly save data:
ss_tweets <- read_csv(here("data", "ss-tweets.csv"))##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## standards = col_character(),
## text = col_character(),
## author_id = col_double(),
## created_at = col_datetime(format = ""),
## conversation_id = col_double(),
## id = col_double()
## )ss_tweets## # A tibble: 35,233 x 6
## standards text author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 ccss "@catturd2 H… 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18
## 2 ccss "@homebrew15… 1.25e18 2021-01-02 00:40:05 1.35e18 1.35e18
## 3 ccss "@ClayTravis… 8.88e17 2021-01-02 00:32:46 1.35e18 1.35e18
## 4 ccss "@KarenGunby… 1.25e18 2021-01-02 00:24:01 1.35e18 1.35e18
## 5 ccss "@keith3048 … 1.25e 9 2021-01-02 00:23:42 1.35e18 1.35e18
## 6 ccss "Probably co… 1.28e18 2021-01-02 00:18:38 1.35e18 1.35e18
## 7 ccss "@LisaS4680 … 9.22e17 2021-01-02 00:16:11 1.35e18 1.35e18
## 8 ccss "@JerryGl291… 1.22e18 2021-01-02 00:10:29 1.34e18 1.35e18
## 9 ccss "@JBatNC304 … 8.81e17 2021-01-02 00:09:15 1.34e18 1.35e18
## 10 ccss "@chiefaugur… 1.25e18 2021-01-01 23:54:38 1.35e18 1.35e18
## # … with 35,223 more rowsWow! Those are some exceptionally “spicy” tweets! First impression is that public sentiment, at least as expressed on Twitter, is not very favorable towards the common core!
Let’s take a quick look at a random sample of our “ngss” and “ccss” standards using the filter() function again and adding the sample_n() function to take a 20 random CCSS tweets:
ss_tweets %>%
filter(standards == "ccss") %>%
sample_n(20) %>%
relocate(text)## # A tibble: 20 x 6
## text standards author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 "@RadicalCod… ccss 9.14e17 2021-04-06 01:05:43 1.38e18 1.38e18
## 2 "@RaheemKass… ccss 8.97e17 2021-04-29 14:05:04 1.39e18 1.39e18
## 3 "I don't wan… ccss 3.68e 7 2021-01-13 22:34:29 1.35e18 1.35e18
## 4 ">> Ar… ccss 1.37e18 2021-03-07 10:28:04 1.37e18 1.37e18
## 5 "@djkal91 @J… ccss 1.37e18 2021-04-09 20:32:02 1.38e18 1.38e18
## 6 "@freddylong… ccss 1.31e18 2021-05-14 15:27:56 1.39e18 1.39e18
## 7 "@catturd2 T… ccss 9.12e17 2021-02-14 14:00:57 1.36e18 1.36e18
## 8 "@polomagaye… ccss 1.21e18 2021-01-02 16:00:27 1.35e18 1.35e18
## 9 "Media talk … ccss 1.35e18 2021-03-24 13:09:42 1.37e18 1.37e18
## 10 "Thank you t… ccss 2.38e 8 2021-04-30 18:50:05 1.39e18 1.39e18
## 11 "@digi11111 … ccss 1.36e18 2021-02-16 16:24:49 1.36e18 1.36e18
## 12 "If america … ccss 2.58e 8 2021-02-21 00:16:21 1.36e18 1.36e18
## 13 ">> Wr… ccss 1.37e18 2021-03-16 08:11:14 1.37e18 1.37e18
## 14 "@miles_comm… ccss 9.46e17 2021-05-22 19:02:03 1.40e18 1.40e18
## 15 "@mwendling … ccss 4.21e 7 2021-04-24 18:51:58 1.39e18 1.39e18
## 16 "@CassyWears… ccss 8.89e17 2021-02-04 07:15:22 1.36e18 1.36e18
## 17 "After punti… ccss 5.10e 6 2021-05-15 15:31:28 1.39e18 1.39e18
## 18 "right and e… ccss 8.10e17 2021-04-21 17:13:39 1.38e18 1.38e18
## 19 "@FoxNews He… ccss 1.34e18 2021-01-29 16:03:35 1.36e18 1.36e18
## 20 "@BurrowDwel… ccss 1.62e 7 2021-05-09 21:18:38 1.39e18 1.39e18Now, use the code chunk below to take a sample of the NGSS tweets:
ss_tweets %>%
filter(standards == "ngss") %>%
sample_n(20) %>%
relocate(text)## # A tibble: 20 x 6
## text standards author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 "@MBDscience… ngss 3.00e 7 2021-01-27 09:28:56 1.32e18 1.35e18
## 2 "@SoDakCurio… ngss 4.01e 7 2021-02-05 02:08:45 1.36e18 1.36e18
## 3 "At the begi… ngss 8.37e17 2021-02-08 22:41:08 1.36e18 1.36e18
## 4 "Hey all, I … ngss 9.90e17 2021-01-07 16:48:49 1.35e18 1.35e18
## 5 "We need sci… ngss 2.33e 9 2021-03-19 01:31:46 1.37e18 1.37e18
## 6 "Two more of… ngss 8.62e 8 2021-03-07 20:32:45 1.37e18 1.37e18
## 7 "@NGSS_tweep… ngss 3.05e 9 2021-05-05 14:22:07 1.39e18 1.39e18
## 8 "Teachers re… ngss 2.25e 8 2021-03-10 14:30:19 1.37e18 1.37e18
## 9 "I have new … ngss 8.97e17 2021-04-19 13:02:39 1.38e18 1.38e18
## 10 "@JessicaFGW… ngss 8.73e 8 2021-02-01 17:05:36 1.36e18 1.36e18
## 11 "And I find … ngss 5.59e 8 2021-04-02 01:41:34 1.38e18 1.38e18
## 12 "What a blas… ngss 7.87e17 2021-02-18 21:39:47 1.36e18 1.36e18
## 13 "@Dora_Kaste… ngss 1.16e18 2021-03-17 21:57:50 1.37e18 1.37e18
## 14 "#EQuIP Crit… ngss 3.71e 8 2021-03-05 02:22:17 1.37e18 1.37e18
## 15 "Though at a… ngss 1.14e18 2021-03-08 08:00:29 1.37e18 1.37e18
## 16 "Where else … ngss 8.84e 8 2021-03-29 14:00:09 1.38e18 1.38e18
## 17 "Here is a f… ngss 2.84e 9 2021-03-17 16:50:50 1.37e18 1.37e18
## 18 "Never heard… ngss 2.06e 7 2021-05-06 12:27:08 1.39e18 1.39e18
## 19 "Excited to … ngss 3.55e 8 2021-02-12 02:31:13 1.36e18 1.36e18
## 20 "@nytimes Pa… ngss 1.22e 9 2021-01-26 20:49:15 1.35e18 1.35e18Based on this very limited sample, which set of standards do you think Twitter users are more negative about?
- YOUR RESPONSE HERE
RStudio Tip: Importing data and dealing with data types can be a bit tricky, especially for beginners. Fortunately, RStudio has an “Import Dataset” feature in the Environment Pane that can help you use the {readr} package and associated functions to greatly facilitate this process.
2c. Tidy Text
Text data by it’s very nature is ESPECIALLY untidy and is sometimes referred to as “unstructured” data. In this section we are introduced to the tidytext package and will learn some new functions to convert text to and from tidy formats. Having our text in a tidy format will allow us to switch seamlessly between tidy tools and existing text mining packages, while also making it easier to visualize text summaries in other data analysis tools like Tableau.
Tokenize Text
In Chapter 1 of Text Mining with R, Silge & Robinson (2017) define the tidy text format as a table with one-token-per-row, and explain that:
A token is a meaningful unit of text, such as a word, two-word phrase (bigram), or sentence that we are interested in using for analysis. And tokenization is the process of splitting text into tokens.
This one-token-per-row structure is in contrast to the ways text is often stored for text analysis, perhaps as strings in a corpus object or in a document-term matrix. For tidy text mining, the token that is stored in each row is most often a single word, but can also be an n-gram, sentence, or paragraph.
For this part of our workflow, our goal is to transform our ss_tweets data from this:
head(relocate(ss_tweets, text))## # A tibble: 6 x 6
## text standards author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 "@catturd2 Hm… ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18
## 2 "@homebrew150… ccss 1.25e18 2021-01-02 00:40:05 1.35e18 1.35e18
## 3 "@ClayTravis … ccss 8.88e17 2021-01-02 00:32:46 1.35e18 1.35e18
## 4 "@KarenGunby … ccss 1.25e18 2021-01-02 00:24:01 1.35e18 1.35e18
## 5 "@keith3048 I… ccss 1.25e 9 2021-01-02 00:23:42 1.35e18 1.35e18
## 6 "Probably com… ccss 1.28e18 2021-01-02 00:18:38 1.35e18 1.35e18Into a “tidy text” one-token-per-row format that looks like this:
tidy_tweets <- ss_tweets %>%
unnest_tokens(output = word,
input = text) %>%
relocate(word)
head(tidy_tweets)## # A tibble: 6 x 6
## word standards author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 catturd2 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 2 hmmmm ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 3 common ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 4 core ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 5 math ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 6 now ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18Later in the year, we’ll learn about other data structures for text analysis like the document-term matrix and corpus objects. For now, however, working with the familiar tidy data frame allows us to take advantage of popular packages that use the shared tidyverse syntax and principles for wrangling, exploring, and modeling data.
As demonstrated above, the tidytext package provides the incredibly powerful unnest_tokens() function to tokenize text (including tweets!) and convert them to a one-token-per-row format.
Let’s tokenize our tweets by using this function to split each tweet into a single row to make it easier to analyze and take a look:
ss_tokens <- unnest_tokens(ss_tweets,
output = word,
input = text,
token = "tweets")## Using `to_lower = TRUE` with `token = 'tweets'` may not preserve URLs.head(relocate(ss_tokens, word))## # A tibble: 6 x 6
## word standards author_id created_at conversation_id id
## <chr> <chr> <dbl> <dttm> <dbl> <dbl>
## 1 @catturd2 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 2 hmmmm ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 3 common ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 4 core ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 5 math ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18
## 6 now ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18There is A LOT to unpack with this function:
- First notice that
unnest_tokens()expects a data frame as the first argument, followed by two column names. - The next argument is an output column name that doesn’t currently exist but will be created as the text is “unnested” into it,
wordin this case). - This is followed by the input column that the text comes from, which we uncreatively named
text. - By default, a token is an individual word or unigram.
- Other columns, such as
author_idandcreated_at, are retained. - All punctuation has been removed.
- Tokens have been changed to lowercase, which makes them easier to compare or combine with other datasets (use the
to_lower = FALSEargument to turn off if desired). - The specialized
“tweets”tokenizer in thetokens =argument retains hashtags and mentions of usernames with the @ symbol as illustrated by @catturd2.
Note: Since {tidytext} follows tidy data principles, we also could have used the %>% operator to pass our data frame to the unnest_tokens() function like so:
ss_tokens <- ss_tweets %>%
unnest_tokens(output = word,
input = text,
token = "tweets")## Using `to_lower = TRUE` with `token = 'tweets'` may not preserve URLs.Your Turn ⤵
How many observations were our original
ss_tweetsdata frame?How many observations are there now? Why the difference?
Before we move any further let’s take a quick look at the most common word in our two datasets. To do so, we’ll introduce the easy to use count() function from the {dplyr} package.
Like most functions we’ve introduced, the first argument count() expects is a data frame which we provided with the %>% operator, followed but the column, in our case word, whose values we want to count:
ss_tokens %>%
count(word, sort = TRUE)## # A tibble: 74,235 x 2
## word n
## <chr> <int>
## 1 common 26665
## 2 core 26470
## 3 the 25818
## 4 to 20478
## 5 and 15552
## 6 of 13106
## 7 a 12472
## 8 math 11788
## 9 is 11562
## 10 in 10076
## # … with 74,225 more rowsWell, many of these tweets are clearly about the CCSS and math at least, but beyond that it’s a bit hard to tell because there are so many “stop words” like “the,” “to,” “and,” “in” that don’t carry much meaning by themselves.
2c. Remove Stop Words
Often in text analysis, we will want to remove these stop words if they are not useful for an analysis. The stop_words dataset in the {tidytext} package contains stop words from three lexicons. We can use them all together, as we have here, or filter() to only use one set of stop words if that is more appropriate for a certain analysis.
Let’s take a closer the lexicons and stop words included in each:
View(stop_words)The anti_join Function
In order to remove these stop words, we will use a function called anti_join() that looks for matching values in a specific column from two datasets and returns rows from the original dataset that have no matches like so:
For a good overview of the different dplyr joins see here: https://medium.com/the-codehub/beginners-guide-to-using-joins-in-r-682fc9b1f119.
Now let’s remove stop words that don’t help us learn much about what people are saying about the state standards.
ss_tokens_1 <- anti_join(ss_tokens,
stop_words,
by = "word")
head(ss_tokens_1)## # A tibble: 6 x 6
## standards author_id created_at conversation_id id word
## <chr> <dbl> <dttm> <dbl> <dbl> <chr>
## 1 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 @catturd2
## 2 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 hmmmm
## 3 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 common
## 4 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 core
## 5 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 math
## 6 ccss 1609854356 2021-01-02 00:49:28 1.35e18 1.35e18 makesNotice that we’ve specified the by = argument to look for matching words in the word column for both data sets and remove any rows from the tweet_tokens dataset that match the stop_words dataset.
Remember when we first tokenized our dataset I conveniently chose output = word as the column name because it matches the column name word in the stop_words dataset contained in the tidytext package. This makes our call to anti_join()simpler because anti_join() knows to look for the column named word in each dataset. However this wasn’t really necessary since word is the only matching column name in both datasets and it would have matched those columns by default.
Use the code chunk below to take a quick count of the most common tokens in our ss_tweets_1 data frame to see if the results are a little more meaningful, then answer the questions that follow.
# COUNT TOKENS
ss_tokens_1 %>%
count(word, sort = TRUE)## # A tibble: 73,596 x 2
## word n
## <chr> <int>
## 1 common 26665
## 2 core 26470
## 3 math 11788
## 4 #ngsschat 3059
## 5 amp 2904
## 6 #ngss 2655
## 7 students 2559
## 8 science 2300
## 9 standards 2273
## 10 education 2174
## # … with 73,586 more rowsYour Turn ⤵
How many unique tokens are in our tidied text?
How many times does the word “math” occur in our set of tweets?
Custom Stop Words
Notice that the nonsense word “amp” is among our high frequency words as well as some. We can create our own custom stop word list to to weed out any additional words that don’t carry much meaning but skew our data by being so prominent.
Let’s create a custom stop word list by using the simple c() function to combine our words. We can the add a filter to keep rows where words in our word column do NOT ! match words %in% my_stopwords list:
my_stopwords <- c("amp", "=", "+")
ss_tokens_2 <-
ss_tokens_1 %>%
filter(!word %in% my_stopwords)Let’s take a look at our top words again and see if that did the trick:
ss_tokens_2 %>%
count(word, sort = TRUE)## # A tibble: 73,593 x 2
## word n
## <chr> <int>
## 1 common 26665
## 2 core 26470
## 3 math 11788
## 4 #ngsschat 3059
## 5 #ngss 2655
## 6 students 2559
## 7 science 2300
## 8 standards 2273
## 9 education 2174
## 10 school 2154
## # … with 73,583 more rowsMuch better! Note that we could extend this stop word list indefinitely. Feel free to use the code chunk below to try adding more words to our stop list.
Before we move any further, let’s save our tidied tweets as a new data frame for Section 3 and take a quick look at it:
ss_tidy_tweets <- ss_tokens_2
ss_tidy_tweets## # A tibble: 466,948 x 6
## standards author_id created_at conversation_id id word
## <chr> <dbl> <dttm> <dbl> <dbl> <chr>
## 1 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 @catturd2
## 2 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 hmmmm
## 3 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 common
## 4 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 core
## 5 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 math
## 6 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 makes
## 7 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 sense
## 8 ccss 1.61e 9 2021-01-02 00:49:28 1.35e18 1.35e18 😄
## 9 ccss 1.25e18 2021-01-02 00:40:05 1.35e18 1.35e18 @homebrew1500
## 10 ccss 1.25e18 2021-01-02 00:40:05 1.35e18 1.35e18 agree
## # … with 466,938 more rows3. EXPLORE
Calculating summary statistics, data visualization, and feature engineering (the process of creating new variables from a dataset) are a key part of exploratory data analysis. For our first lab, we’re going to keep things super simple and focus on:
Top Tokens. Since once of our goals is to compare tweets about the NGSS and CSSS standards, we’ll take a look at the to 50 words that appear in each.
Word Clouds. To help illustrate the relative frequency each of these top 50 words occurs, we’ll introduce the {wordclouds2} package for creating interactive word clouds that can be knitted with your HTML doc.
3a. Top Tokens
First, let’s take advantage of the the %>% operator combine some of the functions we’ve used above with the top_n() function from the {dplyr} package. By default, this function is looking for a data frame as the first argument, and then the number of rows to return.
Let’s take a look at the top tokens among the CCSS tweets by filtering our standards by CCSS, removing our search terms “common” and “core,” and counting the number of times each word occurs, and taking the look at the 50 most common words:
ccss_top_tokens <- ss_tidy_tweets %>%
filter(standards == "ccss") %>%
filter(!word %in% c("common", "core")) %>%
count(word, sort = TRUE) %>%
top_n(50)## Selecting by nccss_top_tokens## # A tibble: 50 x 2
## word n
## <chr> <int>
## 1 math 11688
## 2 education 1917
## 3 kids 1821
## 4 standards 1810
## 5 school 1806
## 6 dont 1622
## 7 grade 1443
## 8 people 1410
## 9 im 1302
## 10 schools 1279
## # … with 40 more rowsNot surprisingly to those familiar with the debate around the Common Core, but word “math” also features prominently among CCSS tweets!
Word Clouds
Word clouds are much maligned and sometimes referred to as the “pie charts of text analysis,” but they can be useful for communicating simple summaries of qualitative data for education practitioners and are intuitive for them to interpret. Also, for better or worse, these are now included as a default visualization for open-ended survey items in online Qualtrics reports and you can even add your own stop words.
The {wordclouds2} package is pretty dead simple tool for generating HTML based word clouds. By default, when you pass a data frame to the wordcloud2() function, it will look for a word column and a column with frequencies or counts, i.e., our column n that we created with the count() function.
Let’s load the {wordclouds2} library, and run the wordcloud2() function on our ccss_top_tokens data frame.
library(wordcloud2)
wordcloud2(ccss_top_tokens)As you can see, “math” is a pretty common topic when discussing the common core on twitter but words like “core” and “common” – which you can see better if you click the “show in a new window” button or run the code in you console – are not very helpful since those were in our search terms when pulling data from Twitter. For your Reach in this lab, you’ll be asked to remove those words using what you’ve learned so far about data wrangling.
Your Turn ⤵
In the code chunk below, filter, count and select the top 50 tokens to create a word cloud for the NGSS tweets. A gold star if you can can do it without using the assignment operator!
ss_tidy_tweets %>%
filter(standards == "ngss") %>%
filter(!word %in% c("#ngss", "science", "ngss", "standards", "#ngsschat")) %>%
count(word, sort = TRUE) %>%
top_n(50) %>%
wordcloud2()## Selecting by nAlso, take a look at the help file for wordclouds2 to see if there might be otherwise you could visually improve this visualization.
4. MODEL
As highlighted in Chapter 3 of Data Science in Education Using R , the Model step of the data science process entails “using statistical models, from simple to complex, to understand trends and patterns in the data.” The authors note that while descriptive statistics and data visualization during the Explore step can help us to identify patterns and relationships in our data, statistical models can be used to help us determine if relationships, patterns and trends are actually meaningful.
Recall from the PREPARE section that the Rosenberg et al. study, and consequently this learning lab, was guided in part by the following question:
What is the public sentiment expressed toward the NGSS?
Silge & Robinson (Silge & Robinson, 2017) point out that, “one way to analyze the sentiment of a text is to consider the text as a combination of its individual words and the sentiment content of the whole text as the sum of the sentiment content of the individual words.” This isn’t the only way to approach sentiment analysis, but it is an easier entry point into sentiment analysis and one that often-used.
To analyze the sentiment of tweets, Rosenberg et al. used SentiStrength to assign tweets to two 5-point scales of sentiment, one for positivity and one for negativity, because SentiStrength is a validated measure for sentiment in short informal texts (Thelwall et al., 2011). The authors found that in contrast with sentiment about CSSS, sentiment about the NGSS science education reform effort is overwhelmingly positive, with approximately 9 positive tweets for every negative tweet.
For this workshop, we’ll be using the AFINN sentiment lexicon which also assigns words in a tweet to two 5-point scales, in addition to exploring some other sentiment lexicons to see if they produce similar results.
4a. Add Sentiment
The {tidytext} package introduced earlier provides access to several sentiment lexicons based on unigrams, i.e., single words. These lexicons contain many English words and the words are assigned scores for positive/negative sentiment, and also possibly emotions like joy, anger, sadness, etc.
The three general-purpose lexicons we’ll focus on are:
AFINNassigns words with a score that runs between -5 and 5, with negative scores indicating negative sentiment and positive scores indicating positive sentiment. AFINN is very similar to the lexicon used in our guiding study by Rosenberg et al. (2021)bingcategorizes words in a binary fashion into positive and negative categories.nrccategorizes words in a binary fashion (“yes”/“no”) into categories of positive, negative, anger, anticipation, disgust, fear, joy, sadness, surprise, and trust.
Note that if this is your first time using the AFINN and NRC lexicons and you are working in RStudio Desktop, you’ll be prompted to download both. Respond yes to the prompt by entering “1” and the NRC and AFINN lexicons will download. You’ll only have to do this the first time you use the NRC lexicon.
Let’s take a quick look at each of these lexicons using the get_sentiments() function and assign them to their respective names for later use:
afinn <- get_sentiments("afinn")
afinn## # A tibble: 2,477 x 2
## word value
## <chr> <dbl>
## 1 abandon -2
## 2 abandoned -2
## 3 abandons -2
## 4 abducted -2
## 5 abduction -2
## 6 abductions -2
## 7 abhor -3
## 8 abhorred -3
## 9 abhorrent -3
## 10 abhors -3
## # … with 2,467 more rowsbing <- get_sentiments("bing")
bing## # A tibble: 6,786 x 2
## word sentiment
## <chr> <chr>
## 1 2-faces negative
## 2 abnormal negative
## 3 abolish negative
## 4 abominable negative
## 5 abominably negative
## 6 abominate negative
## 7 abomination negative
## 8 abort negative
## 9 aborted negative
## 10 aborts negative
## # … with 6,776 more rowsnrc <- get_sentiments("nrc")
nrc## # A tibble: 13,901 x 2
## word sentiment
## <chr> <chr>
## 1 abacus trust
## 2 abandon fear
## 3 abandon negative
## 4 abandon sadness
## 5 abandoned anger
## 6 abandoned fear
## 7 abandoned negative
## 8 abandoned sadness
## 9 abandonment anger
## 10 abandonment fear
## # … with 13,891 more rowsJoin Sentiments
In the previous section, we used anti_join() to remove stop words in our dataset. For sentiment analysis, we’re going use the inner_join() function to do something similar.
Unlike the anti_join() function that removes rows that contain words matching those in our stop words dictionary, inner_join() allows us to keep only the rows with words that match words in our sentiment lexicons, or dictionaries, along with the sentiment measure for that word from the sentiment lexicon.
Let’s use inner_join() to combine our two tidy_tweets and afinn data frames, keeping only rows with matching data in the word column:
sentiment_afinn <- inner_join(ss_tidy_tweets, afinn, by = "word")
sentiment_afinn %>% select(word, value)## # A tibble: 33,579 x 2
## word value
## <chr> <dbl>
## 1 agree 1
## 2 crap -3
## 3 dump -1
## 4 complain -2
## 5 crap -3
## 6 shit -4
## 7 matter 1
## 8 stupid -2
## 9 stupid -2
## 10 wow 4
## # … with 33,569 more rowsNotice that each word in your sentiment_afinn data frame now contains a value ranging from -5 (very negative) to 5 (very positive).
4b. Determine Tweet-Level Sentiment
Since we want to calculate a single score for each tweet, rather than for each word, we’ll use the group_by() and summarize() functions group by standards and id and then use the sum() function to add the total sentiment value for each tweet.
Run the code below to calculate an overall sentiment score for each tweet:
afinn_score <- tidy_tweets %>%
inner_join(afinn, by = "word") %>%
group_by(standards, id) %>%
summarise(value = sum(value))
afinn_score## # A tibble: 22,799 x 3
## # Groups: standards [2]
## standards id value
## <chr> <dbl> <dbl>
## 1 ccss 1.34e18 0
## 2 ccss 1.34e18 0
## 3 ccss 1.34e18 5
## 4 ccss 1.34e18 -6
## 5 ccss 1.34e18 2
## 6 ccss 1.34e18 -4
## 7 ccss 1.34e18 2
## 8 ccss 1.34e18 1
## 9 ccss 1.34e18 1
## 10 ccss 1.34e18 0
## # … with 22,789 more rowsIn the output above, we can see that our first tweet was total value of -2 so would be considered negative.
Like Rosenberg et al., we want to add a flag for whether the tweet is “positive” or “negative.” To do this, we need to:
remove all “neutral” tweets with a value equal to 0, or in other words, keep all tweets with a value not equal to 0;
add the
mutatefunction to create a newsentimentcolumn to indicate whether that tweets was positive or negative;use an
if_elsefunction from thedplyrpackage for our sentiment value adds “negative” to thesentimentcolumn if the score in thevaluecolumn of the corresponding row is less than 0, and a “positive” to the row for all other values.
afinn_sentiment <- afinn_score %>%
filter(value != 0) %>% #hint: keep tweets with value not equal to 0
mutate(sentiment = if_else(value < 0, "negative", "positive"))
afinn_sentiment## # A tibble: 21,610 x 4
## # Groups: standards [2]
## standards id value sentiment
## <chr> <dbl> <dbl> <chr>
## 1 ccss 1.34e18 5 positive
## 2 ccss 1.34e18 -6 negative
## 3 ccss 1.34e18 2 positive
## 4 ccss 1.34e18 -4 negative
## 5 ccss 1.34e18 2 positive
## 6 ccss 1.34e18 1 positive
## 7 ccss 1.34e18 1 positive
## 8 ccss 1.34e18 -2 negative
## 9 ccss 1.34e18 2 positive
## 10 ccss 1.34e18 -1 negative
## # … with 21,600 more rows4c. Compute Sentiment Ratios
Finally, we’re ready to compute our ratio. To do so, we need to:
use the
group_by()function to group bystandards;add the
count()function to count the number of “positive” and “negative” tweets in thesentimentcolumn for each standards;separate our sentiment counts into columns for positive and negative tweet counts using the
spread()function; and finally,create a new column that to compute the
ratioofnegativetopostivetweets.
Run the following code to calculate the ratio of negative to positive tweets:
afinn_ratio <- afinn_sentiment %>%
group_by(standards) %>%
count(sentiment) %>%
spread(sentiment, n) %>%
mutate(ratio = negative/positive)
afinn_ratio## # A tibble: 2 x 4
## # Groups: standards [2]
## standards negative positive ratio
## <chr> <int> <int> <dbl>
## 1 ccss 8225 7674 1.07
## 2 ngss 541 5170 0.105We see that there is about 1 negative tweet for every one positive tweet for the CSSS, but only about 1 in every 10 tweets is negative for the NGSS.
Let’s see how these results compare to a slightly more sophisticated approach to determining tweet sentiment.
Come to the Dark Side
As noted in the PERPARE section, the {vader} package is for the Valence Aware Dictionary for sEntiment Reasoning (VADER), a rule-based model for general sentiment analysis of social media text and specifically attuned to measuring sentiment in microblog-like contexts.
Unlike our our previous approach of assigning sentiment to each individual word in our corpus of tweets, the VADER assigns a number of different sentiment measures based on the context of the entire social-media post or in our case a tweet. So rather than working with tidy text, we’ll need to work with our tweets in their original format.
VADER can also take a little while to run since it’s computationally intensive so let’s read in our original ccss-tweets.csv and take at just a sample of 500 untidied CCSS tweets using the sample_n() function
ccss_sample <- read_csv(here("data", "ccss-tweets.csv")) %>%
sample_n(500)##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## text = col_character(),
## created_at = col_datetime(format = ""),
## author_id = col_double(),
## id = col_double(),
## conversation_id = col_double(),
## source = col_character(),
## possibly_sensitive = col_logical(),
## in_reply_to_user_id = col_double()
## )ccss_sample## # A tibble: 500 x 8
## text created_at author_id id conversation_id source
## <chr> <dttm> <dbl> <dbl> <dbl> <chr>
## 1 "No for common… 2021-02-28 23:42:44 1.27e18 1.37e18 1.37e18 Twitte…
## 2 "@pernilleripp… 2021-04-20 19:09:44 1.34e18 1.38e18 1.38e18 Twitte…
## 3 "@LifeNewsHQ @… 2021-05-08 15:59:36 3.10e 9 1.39e18 1.39e18 Twitte…
## 4 "#AtlasV's Com… 2021-05-18 15:47:42 4.34e 9 1.39e18 1.39e18 Twitte…
## 5 "@DerMemory @j… 2021-01-12 15:14:42 4.76e 8 1.35e18 1.35e18 Twitte…
## 6 "Common core m… 2021-04-11 18:32:35 8.11e 8 1.38e18 1.38e18 Twitte…
## 7 "@GarysBlues 2… 2021-01-24 08:41:00 2.38e 9 1.35e18 1.35e18 Twitte…
## 8 "@amuse Yeeeee… 2021-02-10 19:33:15 3.19e 9 1.36e18 1.36e18 Twitte…
## 9 "Common Core h… 2021-04-25 02:49:56 9.78e17 1.39e18 1.39e18 Twitte…
## 10 "@firstofequal… 2021-01-27 03:28:59 1.23e18 1.35e18 1.35e18 Twitte…
## # … with 490 more rows, and 2 more variables: possibly_sensitive <lgl>,
## # in_reply_to_user_id <dbl>Note above that we passed our read_csv() output directly to our sample() function rather than saving a new data frame object, passing that to sample_n(), and saving as another data frame object. The power of the %>% pipe!
On to the Dark Side. The {vader} package basically has just one function, vader_df() that does one thing and expects just one column from one frame. He’s very single minded! Let’s give VADER our ccss_sample data frame and include the $ operator to include only the text column containing our tweets.
vader_ccss <- vader_df(ccss_sample$text)
vader_ccss## text
## 1 No for common core idiots like him. https://t.co/eqBu0lVxa2
## 2 @pernilleripp Sure, if you're also up for teaching common core math with traditional ways, and teaching how no government shall infringe on a citizens right to bear arms. LOL
## 3 @LifeNewsHQ @Leslie_H20 Dude our problem is we weren't taught common core math growing up! \U0001f601
## 4 #AtlasV's Common Core Booster is now being loaded with liquid oxygen. #SBIRSGEO5
## 5 @DerMemory @jhopeskimchi @chaew6n @nytimes The school is struggling to implement Common Core math. Ms. Karen, a homeschooled substitute teacher, shouts that CC is liberal propaganda and tells the kids her other teachers are libtards. The new principal makes teachers stay after school for unnecessary PD run by Ms. Ethel.
## 6 Common core math is working out for AZ, no? https://t.co/nF49OjVwfh
## 7 @GarysBlues 2 days in.\n\n70,000 jobs lost.\n3 Allies (Canada, Mexico and Unions) in disarray.\nCommon core stimulus math $1400 = $2000\nMedicare for all...? #mailmedicalbillstojoe\n\n#IvotedforTrump \U0001f5fd\U0001f1fa\U0001f1f8\U0001f1fa\U0001f1f8\U0001f1fa\U0001f1f8\U0001f1fa\U0001f1f8 ...miss him yet? I do. \U0001f419\n\n#Trump2024 ✌ https://t.co/virYUNN4LU
## 8 @amuse Yeeeeeaaahh, No.\n\nHere's a better "classroom concept" for y'all.\nConnect with me and I will help you with the curricula.\n\nSpoiler Alert: It will not include The State or Common Core.\n#homeschooling #homeschool #HomeSchoolHub @DrTiaJolie https://t.co/gXfYi1wbIr
## 9 Common Core https://t.co/pjaPTtPyPe
## 10 @firstofequals Can you break that down in common core for me?
## 11 Its #NationalBakingMonth! See #baking w kids video & #SandwichBread FamilyMeal Lesson Plan w #CommonCore reading& writing activities in English/Spanish from @pilotlightchefs https://t.co/QHy6ZZs3sk #FoodLiteracy #FoodEducation #BakingWithKids #BreadLab @kingarthurflour @BBGA_org https://t.co/cyQEfp8bYt
## 12 Kindle Download Free Journeys: Common Core Reader's Notebook Consumable Volume 1 Grade 3 => https://t.co/a0E8cnZknS
## 13 @TianaTheFirst NOBODY was armed, NOBODY was attacked. Resisting arrest with an outstanding warrant ... just stop posting publicly... it shows you grew up with Common Core ... cannot add 1 and 1 together...
## 14 @DineshDSouza Well, that sounds like old common core. Everybody stupid .
## 15 Girl this common core math doing something \U0001f440 https://t.co/trbXuNoChV
## 16 @Annakhait Or the common core business, blocking out the sun business, screwing with our food and water business. Depopulation business. King boogie man.
## 17 @DrDooleyMD @gameloverblake Thats that common core math \U0001f602\U0001f602
## 18 @chipwagon18 @topherpip @ThyConsigliori Its because you didn't use the common core method of calculating \U0001f644\U0001f644\U0001f644
## 19 @Ledermand @thehill COMMON CORE ..ALREADY TRIED\nYOU STUPID 2+2=5
## 20 @Forbes Your math is wrong....$1400 X 156M = 218B\n\nWait, did you use common core math?
## 21 AMAZING ON HER SALARY \U0001f914 COMMON CORE, OR KICKBACKS, or SKIMMING?\U0001f440 https://t.co/i5CdF4uIlg
## 22 @leadlagreport You can thank Michelle Obama for that common core Shit. We can no longer help our children. And they no longer teach cursive!
## 23 @RyanAFournier Common Core math...
## 24 @daniellecashat Of course, Americans are not supposed to understand basic math - wasn't that the purpose of common core?
## 25 @catturd2 Polls must be using common core math to get to these numbers.....
## 26 @jperky1956 CRT is NOT in Common Core. Wiser to explore what things are than blindly object or reject.
## 27 @no1worries1 @geostylegeo I FUCKING KNEW IT! Common core didn’t work out the way they wanted, so now what they tried changing is automatically racist!\n\nAnd they’ll fund research to prove what they want “out there”.
## 28 @janecoaston @charlescwcooke Is this not literally common core?
## 29 @S1Your Big common core energy here and I'm all for it.
## 30 @sellsewpb @DearAbbieNormal Must be that damn "Common Core" math \nI never did get.
## 31 @RaidersLakers That's that common core bullshit \U0001f602
## 32 @mataliandy @storm_paglia If they had to correct it, it means it was wrong. If it was wrong & they said it was wrong, that is a retraction. You must have learned common core \U0001f4a9 in school.
## 33 Devil son realizes I turn 50 this year, says excitedly, “ Now you’ll be able to round up!” “What?”sez me. “To 100!!!” he exclaims. Now I hate Common Core Math.
## 34 "Common Core" school curriculum is a shitshow and a joke.
## 35 @VickiMcKenna I got the videos I was at all the campfires. Crazy how expedebtially dumb people are getting you can thank Scott Walker for never removing common core mow we hot commies graduating from high school. Communist Core critical race. Oh run by Dr. Blue Screen Bill Gates.
## 36 @_ROB_29 Common core math https://t.co/qKqxRUkrwL
## 37 @beebopanana @KatiePavlich Taxes to school= $$ sent to unions = $$ kickbacks to politicians. Common core math.
## 38 @speciallyfemale @mtgreenee Why don't the Democrats invest into our kids . Oh wait they don't care about the kids ( common core math )
## 39 Thanks to the elites who sold Common Core & became billionaires dumbing down the kids! When will America wake up! https://t.co/YyPVb6AtV4
## 40 CRT is the Common Core of Social Science\n\nStudents Beware
## 41 @mrpiercEy Planning Period\nTeacher’s Lounge\nExtracurricular Activity\nCommon Core Pour\nSalute a Torian
## 42 @Freebyrd5555 @WINDOCTORRX Common Core
## 43 @CNN Then how did so many get it already!!!! \n\nCommon core math!!???
## 44 @sandyleevincent Common core is a bitch, too. Regular math had me screaming and crying in frustration; that shit would have seen text books flying through windows \U0001f926\U0001f3fe
## 45 @RyanAFournier @JoeBiden uses common core math.
## 46 Adding And Subtracting Decimals Worksheet Common Core https://t.co/aIAn8FfA0C
## 47 COMMON CORE MATH FUCKING SUCKS
## 48 We have moved onto our Panel discussion in the Asia Pacific Region. These are the key questions. First discussing the common core of grounded theory. #groundedtheory #WGTD21 https://t.co/sfVXC3N99Q
## 49 @CourtneyLTanner This is why villainizing common core, or whatever it is called now was so puzzling. It attempted to define the what, when, where and how of a school curriculum. With input from subject matter experts and the community. This-Perfect example of a discussion that should take place.
## 50 @hankgreen This is an article my friends father who taught math shared back when my son was learning common core and I was confused. They have a lot of hyperlinks that might provide direction\n\nhttps://t.co/55YkH2hH6Z
## 51 @CarneyMichael5 DeSantis hasn't shown enough knowlege of Common Core to prove rejecting CC would fix the complaints. Since the complaints are about local choices by textbooks.\nShould discuss, not mindlessly reject!!\nMaybe decades of U.S. failing to teach thinking HAS CAUSED IRREPARABLE DAMAGE!
## 52 @ThomasSzymon @ijbailey @esanzi They're not even keeping the bottom in place. Zero chance common core + wokeness will be better for poor performers than straightforward oldschool education and objective measurement.
## 53 This would be why Common Core "Education" has removed HISTORY from the curricula \n[well, at lest accurate history]. https://t.co/1SOsbCFj4r
## 54 @CollinYourbs No. Common Core math is the greatest thing ever and I will preach that til my dying day. It’s folks like the Duce who weren’t privy to CC who are clearly struggling \U0001f609
## 55 Math can make kids bored, but letting them bring their iPads to school can actually help! https://t.co/KlaF8vtHNs
## 56 @TpT_Official @tpteng Ever wanted to show your students how to type their numbers (81-100)? Originally designed for kindergartners, this lesson can be adapted for any grade level.\n\n#commoncore #technology #numbers #googleslides #kindergarten\n\nhttps://t.co/VAgl6rPQGK
## 57 @MrMagic21 @RightRelatives @Izukumi37392018 @thedelitesite Being leftish....you are using the demoncrat common core election cheating math. In the real world, you must also add the "switched" votes to Trumps total. We're good we can wait a little longer until the entire truth comes out. Enjoy earpiece Joe for a while longer.
## 58 @SavageKC3 Is that some kind of Common Core Math ? \n\nlol
## 59 @GovKemp What you SHOULD have done over a year ago is get rid of Common Core...but you’re a corrupt and compromised liberal piece of SH%T!!! Now go FU%K YOURSELF!!!
## 60 @ThePerezHilton @PerezHilton Common core was the worst thing to happen to public schools\nLook how many viewers he gets everyday \nLICE https://t.co/UdInu4DZje
## 61 @notkdk3 @SabansStatue Common core math
## 62 Is this common core? I mean, just why would you confuse 1st graders like this?Now my kid is convinced you have to do addition to solve a subtraction problem.\n\nI swear the world is getting dumber by the minute.
## 63 @BillPegs I fought with them for years, that and common core implementation. \nNever was a home school advocate until this year.
## 64 @breannamorello Simple. Congress uses Common Core math.
## 65 can we sneak it in by calling it “common core” race theory...\U0001f927 https://t.co/22Njx1g7jz
## 66 PDF Download Regents High School English Language Arts (Common Core) Exam Flashcard Study System: Regents Test Practice Questions and Review for the New York Regen => https://t.co/qfzkQWoVoo
## 67 Help teach important social & emotional learning skills such as empathy and gratitude, while covering required ELA Common Core Standards through fun digital stories & lessons w/ @Peekapak! https://t.co/dKsl6PkVjK #edtech #edchat #teaching #SEL #engagechat https://t.co/QoLiFzAyQ0
## 68 @BGavathas @Sully___77 @GeorgePapa19 Yes 81 million all from his basement. You must teach that common core math \U0001f602\U0001f602
## 69 This is the common core way to show your work for "no niggers" https://t.co/MLisVHYb1u
## 70 This is an excellent idea. Does this mean, though, that the kids in states like NY will learn Common Core and White Privilege while states like TX will teach math, English, science, etc.? https://t.co/4QAp2GHg2y
## 71 Common Core math https://t.co/fJhrHTWBHB
## 72 I used to be so confused when I found out Bill Gates funded Common Core math because it was so blatantly stupid, like how could someone so smart fund something so stupid. Now it all makes sense. The actual goal IS to make the plebes more stupid so they’re easier to control. https://t.co/wqDEcACW2X
## 73 @1krma @jteveskiyaquoi @Ter0me 0>82? This the new common core maths?
## 74 @POTUS Then ditch CRT, common core and social justice initiatives and start teaching the three R’s again.
## 75 @LFreeburd Common core math.
## 76 Can we cancel the word “cancel” please? It’s as annoying as “rigorous” was when common core started.
## 77 From The Leftist Lunatic Fringe! Common core meet woke core? Virginia moves to end all advanced math classes before 11th grade as part of ‘equity-focused plan’ https://t.co/u50vgHX31e
## 78 The only bad union is a cop union. The problem with schools is that funding is usually tied to property taxes and that a bunch of ideological billionaires keep pulling dumb shit like Common Core, it's not that teachers have job protection.
## 79 If folks in San Francisco want to teach their kids that Abraham Lincoln was bad, that's for them to decide. Otherwise why not mandate a Common Core-style national history curriculum?
## 80 FREE RESOURCE | This activity introduces plural nouns ending with -s and -es - the spelling of these can be tricky to remember! Download/share/print here: https://t.co/kq8PRY23vg\n\nCommon Core alignment: CCSS.ELA-LITERACY.L.K.1.C\n\n#homeschooling2021 #teachertwitter https://t.co/hs2VTc8oEi
## 81 Education shouldn't be handled by swampy DC! Get rid of common core and let these teachers teach!
## 82 @blackonred She’s in advanced math which is no fun for me. Common core is at least visual which helps but I still hate it. All 3 of my girls loooovvveee math. Clearly they can’t be mine?
## 83 Thank god for common core math \U0001f525 https://t.co/79MyScKx2V
## 84 @Breaking911 They must be using common core math on that one. $1400 wouldn't even cover just my mortgage for one month.
## 85 @ProfessorF My answer was different I like looked into common core math and worked the problem how they suggested. The answer I came to was breakfast \U0001f953 and \U0001f373.
## 86 common core is waaayyy too stupid to include half the shit yall talk about being added 30 years down
## 87 Common core meet woke core? Virginia moves to end all advanced math classes before 11th grade as part of ‘equity-focused plan’ https://t.co/U04qZKzqcG via @twitchyteam
## 88 @Phenomenal_Cat Common core Paul.
## 89 @Danjl68 @HStowit @lanstin @gregggonsalves @GregAbbott_TX Common core math I am guessing.
## 90 @Stinetology Well, these are Common Core backers, too
## 91 @CopingMAGA The common core is already here!!! lmao. these people are wild.
## 92 @RyanAFournier He must be using that Common Core math...
## 93 @Dazzbourgh @_dukemyers @scrowder The fact that people don't know or choose to hate this inclusive and neat term that covers every homo sapien is scary. This is just a reminder how our education system has declined lately. I'm not old, I just graduated before common core. Don't lower standards, be as smarter.
## 94 @ElSaysItAll @ScubaTrevor @Dustie_Doll Your common core didn't excersize the part of your brain so u cant see truth. Learn how to excersize that part
## 95 i play jumpstart, but math's hard\nand i can't stand learning anything\n i like when grown-ups call me smart\nbut i'm dumb, so i won't add sums up anymore\nand i barely even care that i'm forgetting all the common core
## 96 Check out Grade 3 The Complete Common Core State Standards Kit 2013 I Can Flash Cards Math https://t.co/YZ3HEVBnFY via @eBay
## 97 @MensaNinja @babylon151 @draggy69 @RepJayapal @POTUS No one in highschool is teaching that. So maybe you should be made at the common core curriculum that fails students. I was 18. I followed the advice of every adult in my life. Don't blame me for not knowing-blame the adults who screwed me over, smiling as they forced me to sign.
## 98 And applause for getting by rid of common core textbooks and expanding broadband in the state. #sctweets
## 99 @DamselAddict It’s this common core math they are teaching kids these days that has me confused.
## 100 @P8R1OT Common core
## 101 @NoOneUnscripted @ABC You might want to use real math not common core
## 102 Have #Common-Core Standards ruined our children's #handwriting? https://t.co/KGjSwVIJW9
## 103 @kellyhon78 @wizardofass65 @TulsiGabbard @joerogan Common sense like regular math and we now have \ncommon core math. Hmmm?
## 104 Short thread. \n\nI've wondered how and why the Common Core and NGSS (in the course of working on a paper abt how positive public opinion toward the NGSS seems to be surprisingly positive, esp. compared to the Common Core: https://t.co/zDW7MiMQt9).
## 105 Download Mobi Alebra 1 Common Core Practice and Problem Solving Workbook: Complete Daily Support >> https://t.co/1fDIt6y5rh
## 106 @TrumpNewsMax @Ionlyflushonce @tedcruz What kind of point did I provide? The education system has failed this country. And turn this country into a race war of black and white. Common core is the worst thing to be teaching our kids. But at the same time teaching them that socialism is that best thing.
## 107 @PFF_Eric Common core math
## 108 @Sifill_LDF Common Core covers mathematics and English. English standards include history and social studies. CC does not prescribe content but focuses on skills, many of which require criticality. Look to teaching cultures including assessments. Abolish grades.
## 109 nobody:\nCommon Core Math: \n2 + 2 = green. But how does that make you \u2728feel\u2728?
## 110 @AaronSBlackwel1 @WickedDecent @luckybydesign @kellywchris @MastTranscript Yup...tied closer to the Common Core and also a national movement. I've listed to and read Scott Looney's work at moving MTC forward. One Stone's work is so original though...maybe it won't work out of context, but the darn thing is just beautiful. #dtk12chat
## 111 @TrumpsaChump5 @Mousecat1980 @CDSzafraniec @Raiklin @NationalFile Are you using common core math to get to 81 million? 14 million more than Obama?
## 112 @hennahannah @missdcox Draper, R. J. (2015, March). Using the Common Core State Standards to support disciplinary literacies. Voices from the Middle, 22(3), 59.
## 113 @J_cksonBecker @TheClassicalCon Common Core is only the standards for English & math. Most CC complaints are not about standards but classwork, subjects other than math & English, textbook issues, GOV mandates, local choices, testing etc.
## 114 @lucaswilliams__ @SatansSycophant @GadSaad @AOC @Concordia I'm liberal, but our public schools suck.\n\nI thought Common Core was maybe the worst thing the Obama Administration did.\n\nI looked at it and went, "These techniques were developed to teach the mentally disabled."
## 115 @dcexaminer @RonDeSantisFL Ron Desantis is a great example of what a governor should be. He also got rid of common core nonsense when he was elected. Thank you for standing Governor Desantis.
## 116 @lukerosiak Social studies became activism training years ago. See common core. Even Math is racist. Proper grammar is racist.
## 117 @RealCandaceO I agree. I'm ashamed to say I taught in a public school. I did leave over favoritism for LGBT parents and Common Core. My soul couldn't withstand it after 9 years.
## 118 @alainpennylaine Is that.... common core? https://t.co/u09rUEdddI
## 119 @HeuristicLineup In defense of common core my younger kid is a total whiz because he thinks of things in this kind of way, like 4 10s and a 7 or whatever . My older kid got a mix of methods and it was confusing af.
## 120 Schools Test-Drive Common Core - https://t.co/PHxW4LPN9J
## 121 That folks is the result of the “common core math” \U0001f60f\U0001f926\U0001f3fb♂️ https://t.co/j3Lue2RKQV
## 122 @GovBillLee Who wants to tell @GovBillLee that TN standards ARE common core? They were just rebranded years ago to get republicans voters to quit snooping around what was being done to pubic ed by their legislators.
## 123 @jraym0 supports educating the whole child and the Common Core. \n\nSorry, sometimes you have to make a choice. https://t.co/wd1XYv0Sp3
## 124 @rachelsteenblik One of the biggest lessons of our military life was seeing the educational and extracurricular discrepancies across the country. Once we went from gifted/AP/IB lacrosse orchestra etc to a place with none of those things. They instituted common core and it was a huge improvement
## 125 Lol another common core understanding of a clearly worded amendment. Funny enough the men who wrote it have been quoted saying it is the right of the individual to own firearms.\n\n@Tactical_review if you're looking for fun this dude in the op thread is just up your alley of fun. https://t.co/aDBck4pNjs
## 126 @DeAngelisCorey @rweingarten Corey DeAngelis attacks Common Core math.
## 127 @zerohedge These kids were fucked from the second common-core math was introduced.
## 128 @linda75643 @lawyer4laws Math went down the Memory Hole with Common Core.\nThey already flushed History down there too.\nThey removed Art and PE decades ago.\nThey're growing Woke Potatoes. https://t.co/9R8yU27pqA
## 129 @camrynbaylee The dumbing of America is intentional. Common core is a great example. The dems are evil and prove that more everyday. The want power at all costs. USA is in deep trouble.
## 130 @ChazMontana3 Common core math? Because that shit is ridiculous. I find that I cannot do third grade math anymore. Sign me up!
## 131 30/ The example given in the Common Core is that:\n\n“Find a percent of a quantity as a rate per 100 (e.g., 30% of a quantity means 30/100 times the quantity); solve problems involving finding the whole, given a part and the percent.”
## 132 @RichHiggins_DC Our nation has been infected by common core education and influencer materialist idols \n\nWhat can we expect them to call it
## 133 @CleverlyChloe My son is in second grade and I struggle lmao common core is trash
## 134 I don't understand the math my first grader is doing \U0001f605 I think it's common core? My brain doesn't work this way.
## 135 @kimmytheazn Thank God my wife smarter than me In common core I want to go straight to the problem not go around three blocks and come back to the same problem. Hopefully they change it back.
## 136 These Jericho teachers crushed it presenting teaching thinking skills to the common core! #jerichoms @BrelandMs https://t.co/fIY10VO46f
## 137 @teachergoals Common core had just come out.
## 138 The Common Core State Standards are not a “nothingburger,” writes @carolinecdamon to the contrary of @rickhess99’s recent blog. https://t.co/CE5qx9SBkz
## 139 >> Writing Workbook for Ages 4-7 with 75+ Activities, Pencil Control, Lowercase Letters, Numbers, Capital Letters, Words and Sentences, Conforms to Common Core Standards (Gold Stars Series) <<\n✔ Download Here Full Free => https://t.co/115oPBZE1E
## 140 @Renata74550354 common core math? \U0001f601
## 141 What the heck is common core math, I’ve never heard of it until now
## 142 @_benkaufman That sounds like some common core mathematics...
## 143 @allysa_etain @incelphobic @hann_morr Oo, is that a common core math problem!\U0001f62e\nIs the answer..um\U0001f914...Apples!?\U0001f601
## 144 @PaSenateDems @SenatorBrewster @SenatorHughes @RepFiedler Toxic teachers unions are a bigger threat to our student. Until we can hold teachers accountable our students aren't safe or getting the education they deserve. Also common core it a danger to our students, so scrap that mess too.
## 145 @ricott98 @NickAdamsinUSA They could use common core math wisdom. Don't worry, they won't. Keep calm & keep your helmet on.\nIf by wrong U really mean Truth with real proof could get out. U suck, but f*ck you, though. Lies don't luv U back, U so Semper Fidelis 2 them tho'. Lithium.
## 146 @arotherham Not quite what you asked, but I'm always struck to the degree by which Common Core was actually implemented, despite the often repeated claims that it was a political failure - and these standards probably have contributed to higher expectations/more rigor in many classrooms
## 147 @edwardyoung85 Speed limits and common core education are just institutionalized Risperidone
## 148 @Truem_13 @godgunsglory78 @realDonaldTrump Common core Communist idiot.
## 149 EPUB Download Carson-Dellosa Kelley Wingate Series Common Core Edition Grammar Workbook, Grades 3 - 4 (Ages 8 - 10) -> https://t.co/S5A5IxREpq
## 150 @JunkoSu22993224 Common Core Math, or just retarded?
## 151 @KevinKileyCA Stop common core
## 152 @DeAngelisCorey Public schools can't cherry pick students so it costs more to educate 'everyone'.\nPPL should understand solutions such as standards like Common Core can strengthen local control.\nPPL should stop rejecting & start discussing meaningful solutions that benefit everyone.
## 153 During his one term as Superintendent of Education, Zais was "criticized for refusing to accept federal education dollars and rejecting Common Core curriculum proposals"\n\nhttps://t.co/sBNqwt962q
## 154 It’s be common core math?? https://t.co/S0XPL2hUpo
## 155 @graceearthur @JackPosobiec @washingtonpost 1200 + 600 =1800\nThis is why common core math is a bad idea folks
## 156 @ReforgeAmerica Never really thought about it. Maybe it would be 6 or 7. Lost Mom, had to decipher common core math and then teach him the right way. Realized all that education is pretty much worthless right now.
## 157 @Kredo0 Biden admin + Price gouging =\n\nTheir common core.
## 158 That's what Common Core education got us. https://t.co/h2DVkIX95t
## 159 @lizzieohreally Wait until your baby grows up just enough to start trolling on twitter and setting up a Robinhood account with a fake age ID to start daytrading penny stocks, kinda like a childhood rite of passage ...all behind your back, of course. Let alone learning common core math.
## 160 [whispers] "This is Common Core math!" https://t.co/pJchLzV9n7
## 161 @sunflowerkt_ 20+40=60\n7+8=15\n60+15=75\nAnd the same process works no matter how large/small the number it’s why they’re teaching it to kids now in common core
## 162 @jordangerous My lovely wife was a talented 5th grade teacher and occasionally I’d help in her class when she’d teach common core math. I was astonished at how helpful to the class the new techniques were in her skilled hands and how the kids liked it too. I felt like a fossilized dinosaur.
## 163 Download The OpenMP Common Core: Making OpenMP Simple Again (Scientific and Engineering Computation) => https://t.co/XKfID5Y8cj
## 164 @NJankov1 Many ppl confuse Common Core with classwork!
## 165 @dougboneparth Is this common core math?
## 166 @jordanbpeterson In the US, Common Core curriculum is already political correctness gone amuck. Once the language becomes manipulated, any subject matter can be highjacked for that purpose.
## 167 Schools Test-Drive Common Core - https://t.co/7IWbQMdDMY
## 168 Confused by your kid’s math homework? Here’s how it all adds up. https://t.co/2pO13qdniw
## 169 @C_Deskie @GGlocksX @scottydog57 That and common core.....
## 170 @PaulEvansOregon Get rid of common core testing for funding and start teaching kids again.
## 171 @C_Mitchko Common Core Officiating! Lol
## 172 @Always_On_Watch I'm sorry to hear it is no longer in common core.
## 173 @SenBlumenthal Is he the one who took cursive writing out of CT schools? And didn’t he support obamas common core math that was an utter failure!
## 174 @SenWarren Ever try and get change at a drive thru from an Obama era common core student ?
## 175 halfway thru middle school was when they pushed all of the common core standardized test bullshit and there was a direct correlation between that and my grades https://t.co/B6eGVNVbEW
## 176 @BoogerLeader @IdkImean @MalloryGates14 @MikeMooreDO The problem with common core is that parents are too lazy or stubborn to take the time and learn it and then get frustrated when they can’t help their child, so they blame common core.
## 177 @fyvie2 Never learned common core.
## 178 @mpolikoff It’s either that or the Common Core app, I guess
## 179 The Federalist: Common Core Was So Amazing, Biden Is Going To Do It To U.S. History https://t.co/Gg1s9aQwuS
## 180 Common Core Math works *ONLY* if the person solving the problems can input the numbers on the second line here themselves.\n\nOtherwise, this is useless math. \n\nI learned this in my Cowboy College Teaching Math Class for Dascaluic Dyslexic Female Preschool Teachers https://t.co/lKdruYbWiG
## 181 @MyersComics @finefrenzee @robinstorm17 @JakeLobin AGAIN, Having KNOWLEDGE of that skill is a privilege. If you don't know it exist, then how are you supposed to know better?? Lets also factor in how Common Core, No Child Left Behind, etc. have taught many people to go without critical thinking skills so theyre less likely to
## 182 2 can't come before 1...but hey I learned this week 2 million is actually 1 million... NYS Common Core math https://t.co/MjKWnuUHmZ
## 183 Took two PhDs 20 minutes to figure out how to cross off boxes to finish a 2nd grade common core math problem. \n\nI'm very much done with common core.
## 184 I’m suspicious that Common Core, unqualified Betsy De Vil, school choice “vouchers”, etc are all ways for our corrupt government to attack & eliminate free public education. Eventually only elites will be educated, & we poor folks will be their uneducated slave labor force. https://t.co/b3ilj9zfBV
## 185 @MeidasTouch Common core election math. I donut get it and never will.
## 186 @JDogg_Capital @BearingtonTrade As I wrestle my 5th grader on common core bullshit, ....I read this! \U0001f923\U0001f923\U0001f923 classic!
## 187 @j_samuelson88 Common Core Math
## 188 What the heck is common core maths? \U0001f632\U0001f632\U0001f632
## 189 Access PDF:\n☞ https://t.co/Zs8RaeGO9U\nFind for 【Grade 4 Test Practice for Common Core (Barron's Core Focus)】 [Download] EBOOK\n▶ by Kelli Dolan
## 190 Riddle me this Batman.... if the championship game is in an hour or so... and the top 2 teams play in this game. Then WHY IS OHIO RANKED 3!?!? @CFBPlayoff are you just not thinking correctly?? Or are you just used to common core math?
## 191 Looks like common core math now is the requirement to work in #msm.
## 192 @elizableu I bet two dollars it's related to the United Nations CSCOPE (communist common core) that they, HRC and Obama- when they wanted 4yo kids to learn sex ed and masturbating as school curriculum.\nI just saw this pic on FB, you all know what to do (pull out the Ban Hammer and report) https://t.co/gp1J7ArZXj
## 193 @reneego74823591 @MattWalshBlog Common Core is the worst. I'm so glad we don't have to deal with it.
## 194 3-cloud service clusters:\n.community groups - local, state, national, non-US, crypto-team\n.experts and industry scouts\n.media and local memes\n\nUnited by a common core:\nProperty producers, managers, collateral, and engineering\nUniting mutual owner, and borrower
## 195 Get rid of common core. It's total garbage.
## 196 @JebBush Thanks Common Core Jeb!
## 197 @atjeffholcomb @DavidAFrench Ahhhhhh I see you are a fan of common core math.
## 198 25.2 M + 3.7M = 80Million Must be that common core math ! \U0001f923\U0001f923\U0001f923\U0001f923\U0001f923\U0001f923\U0001f923 https://t.co/p8VfG0eNwn
## 199 Schools Test-Drive Common Core - https://t.co/PHxW4LPN9J
## 200 @SloanRachmuth And #DefundCommonCore while they're at it, since #CriticalRaceTheory is already being taught through it, i.m.o. Most private schools are signed up for it, too. https://t.co/9NMSTPMwGl
## 201 !The stakes are high. Without artful instruction, many students will never acquire the literacy skills they need not only to meet Common Core Standards but also to meet the challenges this brave new world is sure to deal them. -Carol JagoAgain and aga
## 202 @catturd2 @leslieablessing Its that damn common core math I tell ya
## 203 @Unpurgeable18 @canine2 @CalhounCrede @PaulGregory2173 @Phyllis94584953 @jusme1233 @traveler002 @DustinA66460461 @itsaboutdamnti1 @ISafeyet @MarvinRJeffcoat @kcinor @MaryLanser @Michel78118339 @StillFreeSCOTTY @tnolwene @Wahboom @skis416 @VGat9300 @MarcGriff89 @KishorTrivedi7 @OxmanMartin @WeStand4theFlag @ConnorInsurance @Christo29932651 @OratorBlog @ICanPlainlySee @MichaelJFell @TrumpetHerr @teagiver7 @ilDonaldoTrumpo @JessieJaneDuff @cinarte1956 @WhalenMona @tatianycoeuvre @SophieCWong @SookyBlessingtn @JT375043170 @bindyb123 @slimefin @MarilynLavala @thedude77 @DFBHarvard @Ann_marie1231 @CassyWearsHeels @CarlHigbie @DevilDogIBiteU @frfldres12 @DonaldJTrumpJr @cudagirl0730 Well i see you found another College Professor that teaches Common Core spelling and punctuation and proper sentence structuring along with Common Core math skills.\U0001f923\U0001f602\U0001f923\U0001f602\U0001f602\U0001f923\U0001f923\U0001f913\U0001f913\U0001f913\U0001f913
## 204 @AdamInHTownTX @catturd2 That's common core math, I'd venture to say he had about 40 million real votes tops
## 205 @HillaryClinton None will buy. So who is sponsoring your payed off silence? Soros? McMillian common core?
## 206 Common core at its finest https://t.co/dDz7BDD4qh
## 207 @JCochra50722415 @GovAndyBeshear It's called common core math.
## 208 @kashmonies Parents need to be given the $$'s to choose schools for their kids. Teachers' unions, educrats don't give a f*¢✓ about kids; they're just fodder for more $'s & power.\n\nAnti-White, intersectionalism; Critical Theory; Common Core are travesties.
## 209 I couldn't get my math to match hers no matter how hard I tried. Then I realized, dugh.... She's using Common Core. Now I see. How 1988 of me. https://t.co/KzawxyFcM1
## 210 @SteveRDaugh @LeprechaunRants @BardUsa @RedVoiceMedias @realEscanor @conmomma Trump didn't lose and we're not bad. Your party literally burned cities to the ground for 3 months straight and want to lecture our party on who's bad? That's another stretch. But, we're somehow the dumbasses in the equation? Yeah, common core math, bub.
## 211 I blame common core math for all of this; taking the longest way possible to get to the exact same answer.
## 212 @KatieJMcNamara Media literacy would ALSO be stronger IF every state's teaching standards were more specific about what Ts should teach and Ss should learn. (Common Core is to be blamed for what it omits.)
## 213 @TamasGorbe @DoctorKarl I watched our 11yr old do 22 x 0.3 the other day using common core math, he had half a page of borrowing and sharing before he got 6.6. The current teaching system for basic math is an embarrassment.
## 214 @DailyCaller She must used Common Core math, if you bring in more revenue, you should get more cash, if you don't then you shouldn't talk.
## 215 2020 helped me understand the reasoning behind teaching common core math! \U0001f974
## 216 @MsAvaArmstrong Thank God my 4 kids never fell for common core!!!!! Boy....teachers thought I was a bad parent. In reality they were bad teachers, unbeknownst to them!\U0001f62c
## 217 Global Ed/Common Core cancelled truth in history in favor of promoting New World Order. Information control is mind control, and we now have generations marching to New World Orders with no capacity to reason, analyze, or consciously comprehend. https://t.co/4RkxIqeFPp https://t.co/jxHAB0r900 https://t.co/q4UP0iiz0y
## 218 @Nekorah_Silver @ToxicManbaby It's not suppose to, just jibberish like common core "math"
## 219 @Lisak52 Yes it’s unreal! Thankfully I pulled my daughter out of public school in fourth grade. Her private school doesn’t have to do common core. I couldn’t even help her because I didn’t understand it myself!
## 220 @LunkersTV Amen to that boss. Firearms training, martial arts, economics and a long list of other subjects would benefit students more than common core nonsense.
## 221 FREE RESOURCE | Download this activity to master putting words in alphabetical order.\n\nCommon Core alignment: CCSS.ELA-LITERACY.L.1.1.A\n\nFind hundreds of free resources in our curriculum-aligned library!\n\n#homeschooling2021 #GoogleClassroom @TeachersNet @CommonCores https://t.co/FqJr6FyDkJ
## 222 @SecCardona @GreatCitySchls Oh no. Reminds me of common core crap.
## 223 @MendoKC @kaijeffers @AbeFroman @divinedre11 As a parent of a 10-yo and 8-yo, I'd note that Common Core is mostly (IMO) about showing kids different approaches to arrive at the answer. I feel like my kids intuit math and grasp it conceptually better than I did, instead of just memorizing it.
## 224 and teaching expert... he’s a big reason we have common core \U0001f621\U0001f629 https://t.co/tWv2t9NYQt
## 225 @IAmAaronWill I plan on living another 40 years. 40 years * 52 weeks * $6k is only $12.48M. Is this some kind of Zany common core math problem or what?
## 226 @laurenboebert Common core math
## 227 @Robert33Hall Common core education.
## 228 @bookofoursjulie Your reply didn't tag them but I doubt they'd respond. I think Weber blocked me a while back. Gonzalez is the Assembly member who took pharma $ & made all childhood vaccines mandatory for all school children in California. She also voted in Common Core.
## 229 @kerryjeanlister @gerrybrooksprin I see you don’t understand \n“ common core “ , this may help but doubtful, it’s Bullshit https://t.co/wVCJxr4QFZ
## 230 @goldietaylor @RexChapman 6 weeks is not 3 days no matter how much common core math is applied
## 231 @MsJR88 Must be common core math.
## 232 But...it's not common core or STEM! \U0001f926♀️ I hate thinking that the best part of Trump's presidency is the rise of people valuing social studies education. https://t.co/hjY6LEIN3U
## 233 the existence of common core math implies the existence of rare perimeter math
## 234 @MoniseLSeward @RutgersAltRoute I'm with you on this, Monise. My sense is that being more selective and taking the time to really foster the thinking skills is so important. I recognize that Common Core is trying to do this, but I feel like conditions would have to be perfect + to get thru it all #AltRtEd #SpEd
## 235 @elizposadas @zkat__ Is this one of those common core questions
## 236 @jonschaeffer Common core math...
## 237 @chechevache @LordCys @DGComedy The eagerness to privatize standards is a big contributor to the problem. Common core is a joke but not because the standards are inadequate but because it’s left up to states to choose how they’re implemented.
## 238 @TpT_Official Ever wanted to show your students how to click on objects and how to type their names? Originally designed for kindergartners, this lesson can be adapted for any grade level.\n\n#commoncore #technology #googleslides #kindergarten\n\nhttps://t.co/noBOY5jkml
## 239 @corder_sherrie @UGotToWashYoAss @Computron5000 @floridacloud @SunSentinel @GovRonDeSantis You must confuse Common Core with classwork.\nMost CC opponents must ignore its requirements.\nhttps://t.co/27WruWcd6o
## 240 Yes along with Democrats common core and 1619 project and plus are kids rank 27th in the world. Are Democrat teachers union have let are kids down. https://t.co/dK6XY7YZi9
## 241 @MaryBrandyberry @LynnFynn3 sadly, it isn’t sudden.He’s been at this a long time just not enough of us paid attention. It came to my attn when kids entered public school system&I learned of moms fighting his common core curriculum&how he bought his way into our Ed sys & cc spread across the country.
## 242 Great guests. Serious, tidy and friendly. Highly recommended guests. Thanks for your trust in booking with us and thanks for leaving the place in such a perfect condition! We hope to see you again! Prentice Hall Literature: Common Core Edition by Unknown.
## 243 @IdkImean @MalloryGates14 @MikeMooreDO In theory.\n\nIn practice, a lot of universities are pissed about common core math because it's precepts are making things so overcomplicated when you try to apply them to higher math that it's making them have to retrain students from pretty much the start.
## 244 @GovBillLee Umm Tennessee standards are Common Core...
## 245 @F9FuelTank @catturd2 You're completely right about the zombification of students these days though. It's a massive problem. I think standardization via Common Core etc., and standardized testing have had a massively negative effect on our education system.
## 246 @WaltzingMtilda Well, Common Core, so...
## 247 That’s why we stopped extradition agreements with #CCPChina. We basically share no common core values at all - respect of #Democracy and #HumanRights.\n\n#CCP_is_terrorist https://t.co/oJ6Z8h7GU1
## 248 @AHAhistorians @JohnRosinbum We'll soon be debuting common core compliant teaching guides to accompany essays in our book. Both drop in March! 7-12 teaching outreach led by @dgburgher! https://t.co/6LNmDCooSm
## 249 @DaytonOHNative @KK3971 @headrush67 @SL3367 @DiveEatery @JackiePeters55 @PaTrumpfor2020 @ProudOhioNative @RobertLMore @WebgirlHere @MrWishyWashy_ @MaroszKimberly @mvgmom @KathyMilburn9 @hotrodgirl7 @spoiledmomx4 @debbie_willard @PayLab1224 @SteveDaMeek @mydogneedsabath uh, I'd wonder what's wrong with the guy living in that many cities. How soon before you're leaving for either #21 or #24, depends on what math you're using for the day. Dropout or common core.
## 250 What has BILL GATES BILLIONS contributed to his own backyard of USA but COMMON CORE, computers and acting like an intellectual scientist. https://t.co/y3GzhANT7R
## 251 @_GoodToBeZG_ Common core math.... I'm sure she was taught that!
## 252 Proof common core math is a failure. He has no clue what he’s talking about. #badmath #sleepyjoe #youvotedforthisguy #wtf https://t.co/rv8bCMVuLt
## 253 What can you expect from Ardor Education's Math App? You'll get solid Common Core math practice, a teacher online gradebook, and more! https://t.co/NHw8T2S8lF https://t.co/GKGVIalSSL
## 254 @DDayFilms Common Core Math ain't got nothing on Steiner Math.
## 255 The Fundamental Problem With Common Core Math\n\nhttps://t.co/VV0EOkSk0T
## 256 This is what common core math gets us. \U0001f923 \n@chelseahandler Can you even math bro? https://t.co/XFkpyJB8ZA
## 257 @Angry_Cassie This is an odd assignment. I'd say the "common core" equivalent in post-secondary would be the distribution requirements for majors, or the gen-ed requirements for your state.\n\nYou could conceivably design an intro to philosophy course for a specific set of majors.
## 258 Our @HKUniversity Common Core #archaeology course CCHU9080 has been experimenting with online tools for activities that encourage student engagement in online classes! To our surprise, we received an email indicating this has made us one of the most frequent users of @Mentimeter! https://t.co/h3VFkF5MmH
## 259 @4theluvofJEN @electrohayes @andtyred I helped my nephew with homework when babysitting. Je was 7. It didn’t go well. The common core math is way different than the math I was taught which I already suck at as we all know lol
## 260 @kathrynbaca1 @jordanbpeterson Of course it is. But CRT won’t solve that. The real problem is (I’m sure you know) common core and “no child left behind.” Sounds good on the surface but if ppl would just dig a little deeper. The US has been 30th in education for decades & hasn’t been dealt with. Not an accident
## 261 @fvck__troy Common Core does not specify math problems or specific methods beyond the standard methods.
## 262 @laurenboebert They’re using common core math... it doesn’t make any sense.
## 263 @kimmie_c_ @LibertyJen Their "4" is derived via common core math therefore you are wrong.
## 264 Mobi Download Carson Dellosa Common Core 4 Today Workbook, Math, Grade 2, 96 Pages (CDP104591) >> https://t.co/1d5PdC8NDn
## 265 @Tee2019K @JohnC32116200 @WeStand4theFlag @SeacoastView @2020Kidd @sparty009 @nvrimmie @EmeraldFire1967 @KristinaJulia2 @Samsara_Utile @Imdragonman420 @DMcDMuffin @ltucker8044 @Labman11 @TexasMadDog11 @JOELMANGQ @DannyMack100 @_mexodus_ @circle_r18 @RonVarney3 @WhalenMona We are all a victim of common core math! Twitter seems to have the corner on the market! Sigh. Thank you, Tee! You keep our spirits up. \U0001f618 https://t.co/IvHJtEJoT7
## 266 @TheRealLootski We use a curriculum for our kids that has shared elements with common core. And I strongly wish I had been raised with the method.
## 267 sorry - the kids are as dumb as the adults - thanks to 'common core'. https://t.co/VStrUFwKLZ
## 268 @SylverOwO One possible way to shut them up is to tell them that Common Core is just a list of standards so if they don't like it, they should be able to identify the specific standard they are against here: https://t.co/iCgGsQbBOG
## 269 @EdmJbg @1in5advocacy @absofabucorn @dutchgirlusa @SKH245 @bellebeignet @EducateAll101 @IEPforParents @HabenGirma @alexanderrusso @moms4FAPE @ICARSBanRandS @MorrisonBeth Common core testing is causing problems? It’s not a curriculum. It’s national grade level standards. The prob is, states were each allowed to choose how to implement, some did well, some not. My state was one of 13 exempted from CC because our state standards were much higher
## 270 @geminibuttaflyy They stopped doing Common Core in the schools in our district \U0001f480\U0001f62d the teachers were like "As long as they know how to get the correct answer, the process doesn't matter that much.
## 271 @ToddHarding_17 I’m hoping the pandemic kills off common core.
## 272 @breckgirl4ever If you are against Common Core rather than classwork (created by textbooks) then which requirements (standards) do you disagree with?
## 273 @PolitiBunny @Neoavatara @POTUS @JoeBiden Common Core was going to take too long to destroy the American \U0001f1fa\U0001f1f8 intellect, particularly after DJT interrupted Agenda 2030. So they use CV19 to destroy 1 1/2 school years of learning and cripple education going forward.
## 274 @thehill I see they are using common core math to get this number.
## 275 @AngryBlackLady The new Common Core math enables students to do math lightning fast in their heads. A bunch of times I'd be teaching English trying to figure smth out like how many pages 97-132 were & half the class wld shout the answer out while I was still opening the calculator on my phone.
## 276 There is almost no situation\n\nr = 3.14\ncan't get you in or out of.\n\nCommon core math is a bane on society.\n\n× = MC Square is for those rare occasions.
## 277 @JohnDalyBooks Errrr my God! Common core math!
## 278 @cmmteach Concepts: what is a function, linear functions, rate of change \n\nProcedures: equivalency, simplifying expressions, solving equations \n\nBut Virginia doesn't use common core so the actual answers for her might be different
## 279 @UVa66 @EpochOpinion @EpochTimes @austinbay_th I agree. History has always been rewritten to suit whoever is writing it. Governments, religions, cults. Common Core was implemented to dumb down our next generations. We’re in serious trouble
## 280 @BricksnBullets I never passed 8th grade math. By the time I had a teacher who never gave me hell over it, I was kicked outta school for other reasons.\n\nThe flipside is them trying to force common core down everyone's throats. The common core math was similar to what I figured out. . . .
## 281 @ASlavitt Common Core math? LOL
## 282 @TheKyleAisle @ATLfark @capefearcadaver COMMON CORE CAUSES 5G
## 283 @SoLetItBeDone @TheAnswerJC Must be common core math you're using.
## 284 @foxcarolinanews Is that common core math or regular math based on actual math.
## 285 @iammrdoom @RasorAmanda @MagicOhio @lbopper77 @GovMikeDeWine Common core classes have been ruining children’s education way before corona
## 286 Math can make kids bored, but letting them bring their iPads to school can actually help! https://t.co/cXh8xD74xk
## 287 @LibertyLockPod MMT was devised by the same group of morons that wrote common core math.
## 288 @jonathanchait Maybe. Or maybe she's just a really good tactician who likes being in the game. She's been on all sides of this issue and pretty much every other major education issue of the past two decades (charters, tenure, teacher eval Common Core, etc...).
## 289 @Jim_Jordan Education needs to be reformed all the way around!! Finland had a terrible education system and reformed it and now it is one of the best ones among countries. America is so far behind eveb trying to educate little people. Common core sucks!! 1/2
## 290 @PopeJudasV @MalloryGates14 @MikeMooreDO Wait but why is the common core method better
## 291 @newsmax I knew this guy was a shooting star when he rescinded "common core." It's been straight up since then.
## 292 So I know some people think Common Core math kind of sucks or whatever but my kids are also learning coding using a program that teaches them how to Rick Roll people so I figure it's a wash. #coding #education
## 293 Common Core sucks ass
## 294 @7tine76 Common core math.
## 295 @seahorse342 @charliekirk11 I may stoopid or something, but is that not a total increase of 13.8%? I guess common core education was a great investment.
## 296 @COVID19Tracking BECAUSE they CAN’T COUNT ‼️ Were they using common core??
## 297 @nytimes @sanmiguelillo I wish I could believe this, I really do. But the cognitive dissonance is just too heavy a burden. The numbers just don't add up unless you use common core math.
## 298 Googles "how to explain division" "multiplication facts" "common core" and "how not to lose your temper when your kid starts with the attitude because they are getting frustrated"
## 299 @Bubblebathgirl @GGthinking Common core math
## 300 Have #Common-Core Standards ruined our children's #handwriting? https://t.co/KGjSwVIJW9
## 301 @marylouiseallen @OFTadvocate @AFTunion @ohioaflcio @OHDems @OHSenDemCaucus @mcropper1 @POTUS @realDonaldTrump @NewsStatehouse @jackwindsor @Dannoacton @SamCaudell I switched my daughter to online last week so I can monitor everything.Medicaid fraud- claiming our kids have a disability through common core.The State comes in and can do whatever they want and Gallup surveys(corrupt)our schools are using to gage us.Fema invovled.
## 302 @Breaking911 Must be Common Core Math
## 303 Kids can’t read at an age appropriate level, nor do quick math without grabbing paper to draw pictures from common core...but hey, at least they know how to f*%&! Our nation has literally gone to hell! https://t.co/wLQGz8qf1y
## 304 @DrKChilds @7pm What is wrong with the mathematical education system, other than Common Core?
## 305 Huinker advocates redefining math success: “It’s not being able to tell me the answer to three times five within a heartbeat. Rather, being successful means: ‘I understand what three times five is.’ ” https://t.co/m1SA7C3KIL
## 306 Using Standards to Test What Matters\n\nThis article describes how teachers can leverage the Common Core and other standards to measure outcomes of significance. \n\nRead it here: https://t.co/DTowDgiM8P\n\n#edchat #standards #personalizedlearning
## 307 Y'all better get common core tf outta here by the time I'm helping my kid with math homework, because I don't play that waste of time shit.
## 308 @AK4WA It should, Obama gave Pearson Publishing $350-million to create Common Core book text. In return, Pearson, through its subsidiary, Penguin Random House, gave Obama a $65-million dollar book deal in 2017.
## 309 Want to pass along an INCREDIBLE resource I got from another teacher. For anyone new to #commoncore #math or #eurekamath, (or anyone who wants a fresh take on it!) @TeachFishtank breaks it down really well. I have been teaching for 12 years and still found the resources helpful
## 310 @CBSNews Say....Who's the idiot that came up with common core math? Asking for the stupid.
## 311 @TheardDad @LBSpiers13 It’s common core, man... don’t you understand. \U0001f610
## 312 Also teach and assess math standards. Common core failed. I would appoint continental standards and world “oversight”.
## 313 That’s Common Core math for ya... https://t.co/6pPOl9puNk
## 314 @alieninsect I’m speaking to the political ideology of liberalism which shares common traits in the UK and US (and even with Russian liberals who were around during the rise of the Soviet Union, etc.) There are many meaningful differences but also common core concepts within that ideology.
## 315 @catturd2 Must be common core math.
## 316 Barack Obama got the biggest book deal in exchange for steering gov money to his publisher for common core publishing. It’s just a big money laundering scheme. https://t.co/1iSFFBLD3z
## 317 @kimrunner Kim I don't speak Common Core Math \U0001f645♂️
## 318 Please homeschool, private or charter school your precious children. Public schools are toxic & abusive: indoctrination vs. ed., common core, Race baiting, gender confusion, sex ed K-12. Crazed ignorant teachers who “don’t want to get sick” Protect all from “the state” https://t.co/TszzP4UPeK
## 319 And for the record, I was never taught common core math. That was well after I was out of school. \n\nBut again, my brain isn't wired for math very well. I can do it. I can even do it the way it's taught. \n\nBut that doesn't mean it's the easiest way for my brain to do it.
## 320 @celinedryan \U0001f602 Common core logic? Is that a thing?
## 321 @VentPlat2 exactly, school is mostly useless but its way too important to give up on. our lives are directed by how well we do in common core curriculum which doesnt even help us
## 322 @SarahConnor39 Awesome example of the common core education "program" dumbing your children down!
## 323 @sybil1037 Is that common core math ? We know that’s not a math book
## 324 Common Core Math: Amazing results! - https://t.co/RhpCfq7nBS - Results of Common Core Math\nSeriously – we instantly knew that common core math was the beginning of the end when we learned about... https://t.co/KA0IV3fKqM
## 325 @Elenaforever13 @AMJ_View Gov DeSantis is also ending the teaching of Critical Race Theory indoctrination in FL schools & ended Obama’s confusing Common Core Studies.
## 326 @johnrich They have zero self awareness...common core.
## 327 @WeAreTeachers Ever want to show students how to organize their capital ABC's in order? Originally designed for kindergartners, this lesson can be adapted for any grade level.\n\n#commoncore #technology #numbers #googleslides #kindergarten\n\nhttps://t.co/ToQzsCGsMd
## 328 @benshapiro Common core math was the start of this stupidity. Instead of helping those that need it, reduce everyone to the lowest common denominator.
## 329 @TheRealAZJhawks @BronxLaugher @drksmith91 @billmaher FL is #28 and TX is #23 without adjusting for age. NJ & NY are #1 and #2 respectively. CA’s age-adjusted C19 mortality is significantly > FL. \n\nWe Lefties used to be the ones who were good with numbers and facts but perhaps you’re using Common Core math? https://t.co/ORc9vQcY2h
## 330 @kylamb8 Common Core math
## 331 @SteveDeaceShow @DeaceOnline @DeaceProducer Common Core math class for today:\n\nSteve + Anger for Fauci = FCC Violations\n\n#SteveDeace \n#SteveDeaceShow
## 332 @EndTimeHeadline The Department of Education = Common Core = Socialism...
## 333 @JackPosobiec That must be common core math - under Trump we got 1200 and 600. he asked for another 2000, but Nancy said no, that how we ended up with the 600. Now they want to give 1400. 1400+600=2000 Trump was right again
## 334 Having worked in the Public School System as a Nurse, I can tell you its an absolute mess! Studies have proven BillGates Common Core Curriculum is a disaster. It has reduced student achievement at every level and has produced Snowflakes. Our children and country deserve better. https://t.co/NBYwrXywFn
## 335 @Sites4Congress @Jim_Jordan So I guess adding $5750 to EVERY American in the form of debt the the taxpayers will pay, to give some Americans $1400 is working for the people..... get out here. That is common core math that does not add up.
## 336 @AlanaR_LowCarb @drnickgreiner @KetoHiking @fancypirate8 @KenDBerryMD @drjasonfung @DoctorTro Well..... in common core math you might be asked that question to get to the answer in the round about way
## 337 @hankgreen @ms_frazzled on TikTok has some videos about common core math and how teaching math has changed so the emphasis is that students are understanding things conceptually!
## 338 I would love to spend a day in a Finnish school! Stop #commoncore https://t.co/D08hFdqpUw #earlyyears
## 339 @ScienceAlert @joerogan Wait, is this one of those Common Core cognitive tests? \U0001f913
## 340 @UprightSiddy From what I understand, it isn’t by common core math
## 341 @Beer_and_Soup common core
## 342 @DoeKaty @LFCMughal @amazing_nature0 'Democracy'\nCommon Core Syllabus teaching that now?\n\nCEO of Google, Sundar Pichai, hasn't scrubbed this yet ..\n\nReally surprised Parent Company, Alphabet, hasn't paid\nmore attention to things going on down there .. https://t.co/cKUSbeYJMQ
## 343 So instead of teaching common core, can we teach common sense? It amazes me how many professionals lack common sense when making decisions that impact the lives of 100s or 1000s or a nation!
## 344 @APBBlue I was told common core was all about communism ...
## 345 @MalloryGates14 @TinyRobot6 @Rians_Hopeless @benblack1234 @MikeMooreDO completely lost when it comes to most common core concepts. But on the infrequent occasions I do understand what it's teaching, I agree that it's vastly superior to the type of math I grew up with. "Old style" will always be easier for me, because the neural pathways are well++
## 346 @ABC Is this common core math? More insanity to try to make Biden seem popular.
## 347 @ProjectLincoln Two x too is 645,000 Obama common core math. https://t.co/jDfCY6Kdy5
## 348 Wait! So 1.6 million = 80 million\nCommon Core Math #fallout \U0001f633\U0001f602\U0001f914 https://t.co/KqHkDRyiQq
## 349 @Wh0rehell @pongusothepengu @Svevan @HondaWang I'm not here to school you on grammar bud, look at your original tweet and think about it for a few days\n\nPerhaps take a look at some of your local 8th grade Common Core English? lol
## 350 @ChongaldXrump Amen! Delete Common Core from the system!
## 351 @RudyGiuliani @JackPosobiec @RealAmVoice https://t.co/Yw8hnNe84O\n(I think the reason Bill Ayers isn't on this list is because he's the "ghost(writer," of Obama's books, Common Core, etc.)
## 352 Is this the common core 2+2=5 math?\n\n@ConceptualJames https://t.co/95RBh8V8tV
## 353 @ProfFeynman @physicsgeek As a HS math and CS teacher, this makes me remember a comment from a wise old sage of a teacher. When we introduced Common Core he said, “the problem is, we’re not all Feynman”. It resonated then, and it still does.
## 354 Have #Common-Core Standards ruined our children's #handwriting? https://t.co/KGjSwVIJW9
## 355 Then again I don’t know shit about common core so I could be wrong lmao
## 356 @catturd2 He's using common core math.
## 357 @RaheemKassam If you add 1+1 it equals 2 and if you turn the 9 upside-down it's a 6 then multiply by 2 and you get 12. It's common core math.
## 358 It's amazing, but the more followers I get, the fewer followers I have. Down over 6K now since January 1.\nMust be common core math.
## 359 Common Core really fucked up an entire generation of students
## 360 @SenGillibrand @brithume Apparently the senator is a product of common core english classes. People with limited vocabularies often try to apply definitions incorrectly.
## 361 @sadmonsters @jaketapper You can’t read. Common core. https://t.co/XdEgqZJtVh
## 362 @drneilgupta @bethhill2829 Mathematics education took a hit when it became a political punching bag; this yrs 9th gr started Common Core in K but lost flow when standards changed & now C19; Focus on 8 Mathematical Practices...mathematical discourse to foster conceptual understanding
## 363 @FirecrackerKatt May I suggest a pinot grigio to go with the common core math?
## 364 @UnderWashington @thetoyman1 I have never seen such an effort to #dumbdown Americans as this. Oh wait, Common Core was the beginning. 2+2=4, end of discussion. #liberalssuckateverything
## 365 When Betsy DeVoss reaches her inflection point, things must be really bad. Also if the US had implemented Common Core 35 years ago, we’d have a lot more critical thinkers out there. https://t.co/SdrXzlt5Rb
## 366 Teacher: Ok, class. Here's the vote count for class president. Donny got 7 votes and Joey got 8. Will someone tell me who won?\n\nDonny: I DID 'CAUSE YOU COUNTED USIN' THAT NEW-FANGLED COMMON CORE MATHS!\n\n#MAGAIsCancelled
## 367 Fear of Flying's Common Core. Psychology Today https://t.co/7nMRyt4YuC RT travel airlines #IARTG #book travel https://t.co/AqV3aCp8Ba
## 368 “It’s time to invest resources in improving the basic science of education—including the discovery of new, effective instructional strategies and curricula that boost learning.” https://t.co/XR00eKeWuq
## 369 @JustThePickle2 Common core math strikes again.
## 370 Why do we use the word "times" to represent multiplication? \n\n#KhanAcademy #Multiplication #CommonCore https://t.co/LNFHHaPEe2
## 371 @catturd2 No common core please...\U0001f644
## 372 @CharlesWatcher @TheDemocrats @POTUS I’m OK with collective-bargaining, but the teachers union has got to go. Nothing more than a political organization that pushed for common core and doesn’t even have a common teachers license. Can’t transfer pensions from one state to another... Total failure
## 373 @VictoriaTheTech Thank you!!!I feel like the way "they" rolled out "common core" caused too much friction to a subject that was already frowned upon by many, so when they coined the phrase "new math", I knew we were more doomed.I heard the phrase last night on the lastest epi. of "The Rookie". \U0001f926\U0001f3fe♀️
## 374 .\nSounds like #CommonCore math to me.\n. https://t.co/ZmNG9QAnUO
## 375 @BurkhardDomke @SpaethFlies @jonostrower It was also cursed with a unique engine, which was supposed to have a common core with the M45G for the cancelled AFVG strike fighter. Moreover, RR took over Bristol Siddeley and the M45 became the unwanted stepchild.
## 376 @OGStarwarsAB Lolol, "parents demand diverse heroes"! No, parents "demand" that we do away with that stupid common core curriculum, but we ain't gettin' THAT now are we?
## 377 Apparently Albert doesn’t understand Common Core math https://t.co/xhuM4JiUu7
## 378 My only real argument for having multiple children is that the older one will eventually be able to help the younger one with Common Core math.
## 379 @ConceptualJames Is that when Critical Race Theory and Common Core were coming in to save the day? 20 minutes to solve simple math is definitely intuitive.
## 380 Today in teacher school I learned that public schools preach non-stop about plagiarism, while simultaneously plagiarizing their education standards (if they don't follow common core)
## 381 Fear of Flying's Common Core. Psychology Today https://t.co/7nMRyt4YuC RT travel #airlines #IARTG #book travel https://t.co/AqV3aCp8Ba
## 382 @AnnSansom1 @Prayb4uTweet @pushkinforhouse My daughter has been out of school for some time she's 26. She attended a private school and received more therapy OT SP and PT than in a public setting. Public schools protect bad teachers and give $$ to bad policy (common core).
## 383 Oo! Oo!\n\nI got 'John Thompson: Common Core is abandoning school budgets'! https://t.co/sK39KuyzxR
## 384 Job Opening - CPS Social Worker – Investigations/Assessments: Catawba County Social Services is committed to making living better through serving children and families with multiple and complex needs. We are seeking individuals who share our common core… https://t.co/YX8dxwrBF7
## 385 Here is the core of common core. Take a few unwanted facts, add some adjectives and adverbs, and viola, a completely different meaning that supports your agenda, instead of revealing that your plans(DEMANDS), are TOTALLY ridiculous https://t.co/jgiT2tEptC
## 386 Regardless of what may, or may not be, a part of the common core curriculum, I'm here to remind everyone that Americans kill Nazi's. It's kind of what we're famous for.
## 387 Schools Test-Drive Common Core - https://t.co/7IWbQMdDMY
## 388 Download Mobi Grade 5 Test Practice for Common Core (Barron's Core Focus) >> https://t.co/d3lPhZtcZR
## 389 @catturd2 Check Fauci's bank accounts. The lifestyle tells a lot Obama went into the WH w $1.3M & left w $34M. He said it was from his book. He did receive an advance of $48M from Pearson Publishing. They were paid $347M for designing the Common Core Curriculum which failed. Biden the same
## 390 @TonyMicelliAyOh @Matthew_4_Trump Common core math
## 391 \U0001f5e3 to my mom who teaches my 3 year old niece this AM and she said “I looked up the Common Core Standards and your niece is above the expectations except in writing, but she is only 3. I’m going to start making lesson plans, so I know what to do for the next 1. My \U0001f525\U0001f5a4\U0001f525 https://t.co/HE8kaG9Naq
## 392 @badastridd Common Core Virology. That’s awesome! Love it.
## 393 @HalcyonRams @pinksurvivor70 @_RamsRegeared @TheMayorRobF @LARams520 Common core got a bad Rep. But people use it more than they think. For example the concept of counting up when subtracting. No one does 1,000,000 - 999,99 the “traditional” way.
## 394 @NYGovCuomo I was angry at you for those useless common core tests tied to students’ scores and teachers’ evaluations, but for these accusations you deserve an investigation. Guilty by accusation is crazy. Don’t Resign.
## 395 @NehmahlCutie common core
## 396 @TimScottSC is in a class of his own on the fact that he's the only Black American to serve in both chambers of Congress. But admitting our faults as a nation will strengthen our common core weaknesses. #JointAddress
## 397 @ScottBaio Common core
## 398 @prageru Common Core
## 399 @kxly4news Common core math! \U0001f602
## 400 @WayneDupreeShow @NicolleDWallace Common Core Math
## 401 @CharlestonBelv1 @Lulaque1 @Annakhait Obama's Common Core\n133m voters - 74m Trump votes = 80m Biden votes \U0001f5f3
## 402 @marcushjohnson People who happily voted for Hillary didn't exist, now people who happily voted for Joe *and* the GA races don't exist. It's almost as if there isn't a common core group between them... Huh. Funny how the media only likes to pushing disgruntled "white working class" voters.
## 403 @twkelly_EDU Exactly. It is already literally IN the curriculum. \U0001f644 If these "lawmakers" ever took the time to actually read the Common Core Standards they complain about so much they would know that. \U0001f621
## 404 @AF632 But that’s not what they’re teaching. Common Core math is a perfect example.
## 405 @scj Ya...no. Progressive things like common core is destroying the quality of education.
## 406 @SingleOverTaxed @Cobstew @AndiTheWarrior1 @politickingapp Common Core. It screwed everyone up!
## 407 He's doing that COMMON CORE MATH....it's hard stuff! https://t.co/hBYP7oYHDo
## 408 Ready Common Core Mathematics Instruction Grade 7 Teacher Resource Book by Cu... https://t.co/gXPdbMcFnW via @amazon
## 409 2. Facilitate privacy rights\n\nBuild systems in a way that has a common core identity system that allows you to be able to pull, delete, and manage data on a per-user basis.
## 410 also has japan not adopted that common core bullshit that theyre using in the united states?
## 411 @Horsewithnona11 @angrybklynmom @WhigsnTwigs That is true. the good teachers left when common core came in and now with this CRT I fear we will lose more but if parents don't speak up they will continue to do it. They hope you will stay silent. Trust me they don't like light shined on it which is what I do.
## 412 @WeAreTeachers Ever wanted to show your students how to type their numbers (21-40)? Originally designed for kindergartners, this lesson can be adapted for any grade level.\n\n#commoncore #technology #numbers #googleslides #kindergarten\n\nhttps://t.co/z3W9GVrQCb
## 413 @DeeDeStefano @jaxlee101 @mchooyah Jax is the reason why Common Core is a failure in the school system.
## 414 Today I complained on Facebook about my kids not being able to read cursive writing and the comments are a such a sad indictment of how the shortsightedness of Common Core has robbed public and private school students of a critical tool and process for thinking and communicating.
## 415 @SausageFierce @SupernovaMomma I’m taking math for teachers this semester and I always struggled with math in school but I can already tell common core is a lot easier than most think.
## 416 Schools Test-Drive Common Core - https://t.co/PHxW4LPN9J
## 417 @twisted_lilo @BetamaxPrime @CNN Didnt cnn quote 20,000 metric tons? If anything they mastered Common Core mathematics. https://t.co/VIIa0jv78E
## 418 @Covid_1984_ @POTUS This is why they started common core math years ago. So no one would understand the numbers in my opinion
## 419 Diane Ravitch's opinion on the Common Core and national standardization - "Kids aren't toasters, you can't apply a national standard to their education"
## 420 @Nathaniel_Who @tedcruz 98% compared to 99% is literally tit for tat. Also you didn't cite a source. When nys was at it's worse the survival rate was 99.69% The numbers have dropped so naturally the survival rate has to rise, right? At least that would be the vase if we're not using common core math.
## 421 Ever wanted to show your students how to click on objects and how to type their names? Originally designed for kindergartners, this lesson can be adapted for any grade level.\n\n#commoncore #technology #googleslides #kindergarten\n\nhttps://t.co/noBOY5jkml
## 422 Policy Priorities for Women, Why Common Core Failed, and More https://t.co/9dTpvNrQuV
## 423 Common core maths https://t.co/xV9nsheQ30
## 424 Daily Tip: Referencing Common Core (or other curriculum) Standards https://t.co/5h4SVm1dID #edtpa
## 425 @trappercreek @saletan @jdickerson Duh last time I checked Trump had almost 50% of the legitimate votes cast in last election. I think you need to brush up on your math or are you a product of the common core math?
## 426 \U0001f44f WHY \U0001f44f IS \U0001f44f COMMON \U0001f44f CORE \U0001f44f SO \U0001f44f HARD \U0001f44f #Homework \n\nhttps://t.co/zMK33O5fS1
## 427 @EricaJoy @code4QueerNCute Well there goes that common core educational ideology surfacing. There is and never will be 1000%. Only someone who thinks there is would back the things you went full tard about. If product or service is human then back that business. Geeze!
## 428 @DemsTift @DavidShafer @GaRepublicans @washingtonpost @GaSecofState This is the best you’ve got? Figures. Your party brought our kids Common Core illiteracy, 30 genders, Obama and Biden and Hillary and Kamala and stole trillions of our dollars and OUR VOTES.
## 429 @Breaking911 Who hired these \U0001f921s? They use common-core math?
## 430 Made by using common core math? https://t.co/dBoKnLvVoU
## 431 Georgia is FINALLY getting rid of Common Core Math!\n \nThank you @GovKemp and @SuptWoods for putting our students before the educrats and profiteers! \n\nhttps://t.co/sYP1vE1ahX #gagop #gapol #tcot #StopCommonCore
## 432 @LAGOP 1 senator who is up for re-election next year votes to acquit. One senator who was just re-elected votes to convict. Which one is upholding the constitution and which is trying to get re-elected? (This is not a common core question)
## 433 IS THIS SOME NEW COMMON CORE MATH???\n 63 equals 600\nI'm so confused. https://t.co/MRDeQyyugE
## 434 @kstraith @MattWalshBlog I think Matt is using Common Core math with his common core thoughts.
## 435 I fucking hate common core math!!! Can’t wait for schools to be safe again, so Amy can go back! #coremath #homeschool #nonono #momlife
## 436 @SenSasse https://t.co/5U93Onghmu\n\nHow is it possible the same 15,000 ballots were\ncounted on Election Night & then re-counted 5 \nadditional times & NOT once in these 6 counts\ndid they have the same Vote total ?\n\nIs this your Common Core Math, you support ?\n\nPLEASE explain this in detail !
## 437 @GGlocksX @CoachEdBoyce This must be that common core math that Cuomo likes to push on all New York schools \U0001f92a
## 438 @LauraRBelin I know more teachers who have quit because of the stupid common core curriculum they're being forced to teach than who quit because of no collective bargaining.
## 439 Common Core is the Devil!
## 440 Again, Common Core has Nothing to do with Education, but Everything to do with Socialist Indoctrination! https://t.co/eVtxv3h5D1
## 441 I just listed: 'Carson Dellosa | Common Core Connections Math Workbook | Kindergarten, 96pgs', for 5.00 via @amazon https://t.co/eomYDAyG1p
## 442 Review Online Math Basics 2, Ages 7-8, Common Core Math Standards, playful learning, addition & subtraction, telling time, math foundation -> https://t.co/U5cxooohlT
## 443 This is why Democrats push for common core in 20 years no one would have the skills to figure this out\U0001f92c https://t.co/xruvVh2rcQ
## 444 @RainRambin I get freaked out by common core 3 * 5 = 15\n\nWho in their right mind would do:\n3 + 3 + 3 + 3 + 3 = 15?\n5 + 5 + 5 = 15 looks easier
## 445 @LVLMLeah This common core stuff messes me up.
## 446 [Read] EPUB The OpenMP Common Core: Making OpenMP Simple Again (Scientific and Engineering Computation) -> https://t.co/GjCjbx4JM5\n\nThe OpenMP Common Core: Making OpenMP Simple Again (Scientific and Engineering Computation) Timothy G. M
## 447 @ArchTheAtheist @The_Real_BiM @Jesus_is_G_d @ArchLuminous @RealPaulVarjack @TApistevist @KeeverShannon @PennyAxa Validation requires a common core framework for evaluating evidence. Without that commonality, neither party will be able to convince the other.
## 448 Before Gates+common core math
## 449 @blueheeler96 Have you tried teaching them the common core method?
## 450 @AGEllison Unfortunately public schools have degenerated into mental health incubators. Inclusion , No child left behind, common core all government disasters. Anything to devalue American exceptionalism is what your about . Stick to beating up your girlfriends Keith https://t.co/I1DCcyBRWP
## 451 THIS \U0001f447 is the Common Core Math they teach in schools these days, it seems they allow you to make up your own answer, & it's always right...ijs\U0001f937 No Wonder why our country is in such dire shape, we have people who will believe ANYTHING...\nWhat was it P. T. Barnum said... \U0001f914 https://t.co/TvD2OESM46
## 452 @Tennessean just to replace this critical history with some bullshit common core
## 453 @Gbademakinde @fairley_jackie A fulfilling marriage should be based on common core values or becomes a lie, remember: “if you avoid conflict to keep the peace, you start a war inside yourself”. That’s a price to high to pay!
## 454 It might just be me, but I believe art should be part of the common core in school.
## 455 @TommygoIrish @physicsgeek @alexthechick i use common core math
## 456 @DanaPerino I just watched your segment on The Five about the difficulty of math homework. I think you might have missed the "core" of the issue. The new "common core" curriculum that teachers are being forced to use was obviously written by a government entity.
## 457 All Common Core does, literally, is emphasize teaching critical thinking skills. There is no mandated content. It's all about reading carefully and thinking and writing well.\n\nI guess it makes sense Lee wouldn't want Tennessee voters to be able to think too carefully. https://t.co/hilsFGOaV9
## 458 Common core math makes my head hot. \U0001f974\U0001f974\U0001f974
## 459 @a_qstation @myjourneymyself I swear on my life *\nHelping my niece last night a 1st grade common core math workbook homework.\nI couldn’t even understand the fucking question.\nI asked my 5th grader figuring he had inside info. Nope.\nIt is so off the wall fuckin stupid, these kids are screwed.
## 460 Common core math worldwide...100 per 100,000 residents means total lockdown. https://t.co/Vcg9fXri9q
## 461 i’m just gonna start vaguely alluding to popular common core assigned readings to get buzz
## 462 This must be common core math https://t.co/AMcbZ7zuXz
## 463 @BubetteS \n\nThis guy should be put on trial for treason for what he did to American students. This guy undercut a generation or more teaching our kids gobbledygook while our competitors take math seriously. And guess what. He's from the tribe.\nhttps://t.co/xQTJ88gPKl
## 464 Clearly, she does common core math. https://t.co/j7Nx3CZAgX https://t.co/W0PovLg4oE
## 465 @FL_DEO_PLS_HELP @bjoewolf Hey man, come & do a shift with me. Sit with traumatized kids. Kids who have lost family members 2 gun violence & then are triggered by cramming into a corner for 45 min and then have to shift back and learn common core math. Also see Parkland where armed officers did nothing.
## 466 Rolled through about 60 common core crystals and about 30 rare ones tonight\n\nSafe to say my luck sucks, 1 rare blade out of the bunch\n\nONLY TOOK ME ONE HOUR OF GETTING THE CRYSTALS AND ANOTHER OF OPENING THEM!
## 467 @catturd2 Joe doing some modern common core math....bless his heart. He learnt it from Dr Jill.
## 468 RPGCast – Episode 471: “Your French Is As Good As Your Common Core Math” - RPGCast – Episode 471: “Your French Is As Good As Your Common Core Math”... https://t.co/wtvtyiu5zG
## 469 @jenn_rossmann YES, I went to college (in the 70's), and NO we did not have a common core (or if we did, I can't remember it with my feeble mind).
## 470 Department of Education has been dumbing down students for decades!\n\nNo civics, but we have “Common Core”...little U.S. History, but we have “Social Studies”. https://t.co/lFLWmOwMjs
## 471 Here's another interesting quote from the @ChalkbeatTN article...Dickey stresses that teachers should reinforce literacy skills in every subject. That aligns with national Common Core standards, which Tennessee’s learning requirements are based on....hmmm, can't do that in TN
## 472 Study: Historic Drop in U.S. Reading and Math Scores Since Common Core ‘Debacle’ https://t.co/dDsKzwyvOj
## 473 @lackofrealism @RavenCasts The last one reads like a Common Core math problem for 3rd graders.
## 474 @AllenMajorovic @bronxboondoggle @BobBowdon Common core is still in its early phase Allen. Calm yourself. Suck for 60 years? We’ve pretty middle of the pack for most of that time. Your offering a knee reaction because you believe your doing right thing I guess. I’m just telling you, you’re falling for right wing propaganda
## 475 @BisforBerkshire @AnnieLowrey There were links made between lexile level and career track in common core referenced materials; but lexile isn’t static and can be increased.
## 476 @NuckChorris16 @DoubleDoubleJon @MWR_OKC @godFreeWorld @Biginabox @malo_j @crypt_oguru @simba_83 @rkdoctr @mental_hazzard @DoubleDumas @LeeTWimberly @AGTCnews @carlsmythe @stevep44 @saluce65 @JaTapps @Schmoop0521 @halcyondon @DoesnAbout @JulieAMcLean @CRSaltmarsh @Atsiu3 @nullhypothesis9 @UnCastellsMes @PolarVan @irolands @CrockaBananas @BjarteBjorkum @llance @Mr_Ezekiel2320 @Place_in_Nature @Race__Realist @AprilLigeia @TConabike @James2012 @iamAtheistGirl @cootey59 @WachoDholuo @rockytech @Antitheist_man @johnsimmonds01 @Reason_DontFear @Catheri77148739 @JWKieres @EdDarrell @kaimatai Not anymore. With Common Core, despite its shortfalls, it changed the curriculum and the tests to where kids have to show an understanding of the material. It’s not just multiple choice anymore.
## 477 @catturd2 This is what the COMMUNISTS call Science while using Common Core Math
## 478 @G17Esiason Agreed. My sons school has “Asynchronous day”.... teachers post slides for the kids to do while they enjoy the day off. Now I’m stuck attempting to figure out common core math with an 8 year old who just wants to go outside.
## 479 @laurenboebert Yeah, that common core idea was the bomb!
## 480 @kristina_wong Common core for dogs doesn't work either?
## 481 @Anewdaw36571218 @jerrysaltz @donwinslow Being self-educated meant something entirely different in the 19th century, because the common core was reading, writing and history. Access to a library the only req. cf Thomas Love Peacock on how he became a "classicist" as we would say these days.
## 482 @Steven2Believen @kirstiealley lmfao... another libtard triggered and Trumps not even in office anymore. \n\nAnd just to say, you're factually incorrect but that's what we get with a common core education
## 483 Illiterate, probably Common Core educated https://t.co/as19Jg5qXe
## 484 https://t.co/THuGYrJitY\nThey pretty much covered it.\nPAC and Lobby produced government or contracted or appointed "other" \nUnions are glorified Political Action Committees. Lobby just the same as NRA. \nThen indoctrinate our kids qith common core..\nWould ya look? \nJust look.
## 485 @MajorPatriot Lol. A Common Core problem.
## 486 Divide and Conquer: An Adult Course in Common Core Division. Step-by-step guide for understanding and applying Common Core division concepts. This course contains videos teaching new ways to divide that students are learning in school today.\nhttps://t.co/XZg9Ro8lID\n@matt_levine https://t.co/o7HorDJqyv
## 487 Common Core R.1 Guided Practice Slides Template *Can be used with any text!* https://t.co/hkJ6lBnjUs
## 488 @hojo1972 @GovAndyBeshear I think Andy uses common core. Explains a lot.
## 489 I hate common core with a passion
## 490 @yesnicksearcy College's across this Country help indoctrination of young minds. In all public Schools teaching Common Core Educational Standards is part of Agenda for socialism. It dumbs down the students instead of teaching them the Correct way. Half of the students don't know anything about
## 491 @CallMeBethHere @maulden_jerry Here are the states that use common core. \nhttps://t.co/a0LttwLOGX
## 492 @ProudSocialist @JoeBiden That common core math is a bitch.
## 493 Dems simply can’t count. All of that common core math proves their idiocy. https://t.co/l8TIUKV5Og
## 494 This is that common core math in full effect. https://t.co/feEZWVZ3km
## 495 Participation or results? Tell us in the comments below. Read both sides of the story and vote on 4b. https://t.co/dSBTqdOTYA\n#education #parenting #commoncore #trophy #participation #learning #school #motivation #students #study #covid #student #children #teacher #science https://t.co/oQ1N0ROzRM
## 496 @ZuluMediaCell Just no Common core junk.
## 497 @DrMartyFox WWI 320,518 - WWII 1,076,245 - Vietnam 211,454 - 911 2751 initial lost - according to our appointed president < 527,726. Must be common core math \U0001f621\U0001f621\U0001f621
## 498 @Anonymo12869076 He's tougher than common core math to an essential worker. He won't go easily. He's not tragically young but we aren't done with him.
## 499 Algebra? Sure, I can manage. \nCommon core math? I can usually figure it out\nToilet paper roll math though?? Forget it. I mean what the heck even is that?
## 500 @MayorAdler I think you did this math with Obama's CCP common core failure.
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## 75 {0, 0, 0, 0}
## 76 {0, 0, -1, 0, 0, -1, 1.3, 0, 0, -1.7, 0, -1.1, 0, 0, 0, 0, 0}
## 77 {0, 0, 0, -2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 78 {0, 0, -2.5, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3, -2.6, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 80 {3.033, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 81 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 83 {1.5, 1.1, 0, 0, 0, 0, 0, 0}
## 84 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 86 {0, 0, 0, 0, 0, -2.4, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0}
## 87 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 88 {0, 0, 0, 0}
## 89 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 90 {0, 1.1, 0, 0, 0, 0, 0, 0}
## 91 {0, 0, 0, 0, 0, 0, 0, 2.45, 0, 0, 0, 0}
## 92 {0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 94 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.962, 0, 0, 0, 0, 0, 0}
## 95 {0, 0.7, 0, 0, 0, -0.6, 0, 0, 0, 0, 0, 0, 0, 2.25, 0, 0, 0, 0, 2.55, 0, 0, -3.45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.882475, 0, 0, 0, 0, 0, 0, 0}
## 96 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 98 {0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 99 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3}
## 100 {0, 0, 0}
## 101 {0, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0}
## 102 {0, 0, 0, -2.1, 0, 0, 0, 0}
## 103 {0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 105 {0, 0, 0, 0, 0, 0, 0, 0, -1.7, 1.4, 0, 0, 0, 1.7, 0, 0}
## 106 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.15, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.45, 0, 0, 0, 0, 0, 0, 0, 0, -1.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.8, 0}
## 107 {0, 0, 0, 0}
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## 111 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 112 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0, 0}
## 113 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.989175, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
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## 115 {0, 0, 0, 0, 0, 0, 3.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0}
## 116 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, -3}
## 117 {0, 0, 1.5, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.2, 0, 0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 118 {0, 0, 0, 0, 0, 0}
## 119 {0, 0, 0.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.22165, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0}
## 120 {0, 0, 0, 0, 0, 0}
## 121 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 122 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 123 {0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, -0.3, 0, 0, 0, 0, 0, 0, 0, 0}
## 124 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3, 2}
## 125 {2.35, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 0}
## 126 {0, 0, 0, 0, -1.9, 0, 0, 0}
## 127 {0, 0, 0, 0, -3.4, 0, 0, 0, 0, 0, 0, 0}
## 128 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0, 0, 0}
## 129 {0, 0, -0.5, 0, 0, 0, 0, 0, 0, 0, 0, 3.1, 0, 0, 0, 0, -3.4, 0, 0, 0, 0, 0, 0, 0.5637, 0, 0, 0, 0, 0, 0, 0, 0, -1.7}
## 130 {0, 0, 0, 0, 0, 0, -2.6, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 131 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 132 {0, 0, 0, 0, 0, -2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 133 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 2.45, 0, 0, 0, 0}
## 134 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 135 {0, 1.5, 1.1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0.9, 0, 0, -1.7, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, -1.7, 1.7, 0, 0, 0, 0}
## 136 {0, 0, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 137 {0, 0, 0, 0, 0, 0, 0}
## 138 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 139 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 1.1, 0}
## 140 {0, 0, 0, 0, 0}
## 141 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 142 {0, 0, 0, 1.5, 0, 0, 0, 0}
## 143 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0}
## 144 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.406, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4, 0, 0, 0, 0, 0, 0, -1.7637, 0}
## 145 {0, 0, 0, 0, 0, 0, 0, 0, 1.2, 0, 0.703, 0, 0, 0, -0.481, 0, 0, 0, 0, 0, 0, 0, -1.05, 0, 0, 0, 0.789175, 0, 0, 0, 0, 0, 0, 0, -0.95, 0, 0, 0, 0, -2.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 146 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 147 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 148 {0, 0, 0, 0, 0, 0, -2.3}
## 149 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0}
## 150 {0, 0, 0, 0, 0, 0, -2.7}
## 151 {0, -1.2, 0, 0}
## 152 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0, 0, 0, 1.5, 0, 0, 0, 1.3, 0, 0, 0, 0, -1.2, -2, 0, 0, 0, 1.3, 0.7, 0, 2, 0}
## 153 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, -1.7, 0, 1.6, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0}
## 154 {0, 0, 0, 0, 0, 0}
## 155 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.5, 0, 0}
## 156 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, -1.9, 0, 0}
## 157 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 158 {0, 0, 0, 0, 0, 0, 0, 0}
## 159 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 1.207, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0}
## 160 {0, 0, 0, 0, 0, 0, 0}
## 161 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.074, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 162 {0, 0, 2.8, 0, 0, 0, 2.3, 0, 0, 0, 0, 0, 0, 1.42165, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.6, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 1.5, 0, 0, 0}
## 163 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0}
## 164 {0, 0, 0, -0.9, 0, 0, 0, 0}
## 165 {0, 0, 0, 0, 0, 0}
## 166 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.6, 0, 0, 0.1, 0, 0, 0, 0, 0, 0}
## 167 {0, 0, 0, 0, 0, 0}
## 168 {-1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 169 {0, 0, 0, 0, 0, 0, 0}
## 170 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 171 {0, 0, 0, 0, 2.35}
## 172 {0, 0, -0.3, 0, 0, 0, 0, -1.2, 0, 0, 0, 0}
## 173 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0, 0, -2.593}
## 174 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 175 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 176 {0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4, 0, 0, 0, 1.7, 0, 0, 0, 0, -1.67835, 0, 0}
## 177 {0, 0, 0, 0, 0}
## 178 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 179 {0, 0, 0, 0, 0, 0, 3.093, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 180 {0, 0, 0, 0, 0, 0, 0, 0, 1.4, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 181 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.962, 0, 0, 0, 0, 0, 0, 0}
## 182 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 183 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0}
## 184 {0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 2.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 185 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 186 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.8, 0, 0, 0, 0, 0}
## 187 {0, 0, 0, 0}
## 188 {0, 0, 0, 0, 0, 0, 0, 0}
## 189 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 190 {0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0637, 0, 0, 1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 191 {0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 192 {0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.6, 0, 0, 0, 0}
## 193 {0, 0, 0, 0, 0, 0, -3.1, 0, 0, 2.293, 0, 0, 0, 0, 0, 0, 0}
## 194 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 195 {0, 0, 0, 0, 0, 0, 0, 0}
## 196 {0, 1.9, 0, 0, 0}
## 197 {0, 0, 0, 0, 0, 0, 0, 0, 1.3, 0, 0, 0, 0}
## 198 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 199 {0, 0, 0, 0, 0, 0}
## 200 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 201 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.45, 0, 3.6, 0, 0, 0, 1.95, 0, 0, 0, 0, 0, 0, 0}
## 202 {0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0}
## 203 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0}
## 204 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3}
## 205 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 206 {0, 0, 0, 0, 0, 0}
## 207 {0, 0, 0, 0, 0, 0, 0}
## 208 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0}
## 209 {0, 0, 0, 0, 0, 0, 0, 0, 0, -0.074, 0, -0.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 210 {0, 0, 0, 0, 0, 0, 0, 0, 0.629, 0, 0, 0, 0.925, 0, -0.629, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.45, 0, 0.15, 0, 0, 0, 0.85, 0, 0, -1.25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0}
## 211 {0, -1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 212 {0, 0, 0, 0, 0, 0, 1.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0}
## 213 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.9}
## 214 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 215 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 216 {0, 1.5, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.5, 0, 0, 0, 0, 0, -2.5, 0, 0, 0, 0}
## 217 {0, 0, 0, -1, 1.3, 0, 0, 0, 1.7, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 218 {0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0}
## 219 {0, 1.7, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0}
## 220 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -1.7}
## 221 {3.033, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 222 {0, 0, 0, -1.2, 0, 0, 0, 0, 0, -1.6}
## 223 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0}
## 224 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 225 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0}
## 226 {0, 0, 0, 0}
## 227 {0, 0, 0, 0}
## 228 {0, 0, 0, 0, 0, 0, 0, 0, -2.25, 0, 0, 0, 0, 0, -1.65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 229 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.85, 0, -2.1, 0, -4.2, 0}
## 230 {0, 0, 0, 0, 0, 0, 0, 0, 0, -0.074, 0, 0, 0, 0, 0, 0, 0}
## 231 {0, 0, 0, 0, 0, 0}
## 232 {0, 0, 0, 0, 0, 0, 0, 0, -2.7, 0, 0, 0, 3.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4, 0, 0, 0, 0}
## 233 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 234 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5465, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.25, 0, 0, 0, 0, 0, 4.05, 0, 0, 0, 0, 0, 0, 0, 0}
## 235 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 236 {0, 0, 0, 0}
## 237 {0, 0, 0, 0, 0.85, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.85, 0, 0, 0, 0, 0.6, 0, 0, 0, 0, 0, 0, -2.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 238 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 239 {0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0}
## 240 {1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 241 {0, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 242 {3.1, 0, -0.3, 0, 0, 2.2, 0, 1.093, 0, 2.1637, 0, 0, 2.3, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 243 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, 0, 0}
## 244 {0, 0, 0, 0, 0, 0, 0}
## 245 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.7, 0, 0, 0, 0, 0}
## 246 {0, 1.1, 0, 0, 0}
## 247 {0, 0, 0, -0.9, 0, 1.1, 0, 0, 0, 0, 1.2, -1.2, 0, 0, 1.7, 0, 0, 0, 2.1, 0, 0, 0, 0, 0, 0}
## 248 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.1, 0, 0, 0, 0, 1.1, 0, 0, 0, 0}
## 249 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 250 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.25, 0, 3.45, 0, 0}
## 251 {0, 0, 0, 0, 0, 1.3, 0, 0, 0, 0}
## 252 {0, 0, 0, 0, 0, 0, -2.3, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, -2.8, 0}
## 253 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 254 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 255 {0, 0, -1.7, 0, 0, 0, 0, 0}
## 256 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 257 {0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 258 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 0, 2, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 259 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.9, 0, 0, 0, 0, 0, 2.35}
## 260 {0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2, 0, 0, 0, -2.55, 0, 0, 1.95, 0, 0, 0, 0, 0, -1.8, 0, 0, 0, 0, 2.85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.331}
## 261 {0, 0, 0, 0, 0, 0, 0, 1.258, 0, 0, 0, 0, 0, 0, 0}
## 262 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 263 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1}
## 264 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 265 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.1, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 266 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4, 0, 0, 0, 0, 0, 0, 1.1, 1.7, 0, 0, 0, 0, 0, 0, 0}
## 267 {-0.3, 0, 0, 0, 0, 0, -2.3, 0, 0, 0, 0, 1.9, 0, 0, 0, 0}
## 268 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 269 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 270 {0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.074, 0, 0}
## 271 {0, 0, 1.8, 0, 0, -2.5, 0, 0, 0}
## 272 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, -1.6, 0}
## 273 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.5, 0, 0, 0, 2, 0, 0, 0, -1.4637, 0, 0, 0, 0, 0, 0, 0, -2.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 274 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3}
## 275 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 276 {0, 0, 0, -0.907, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 277 {0, 0, 0, 1.1, 0, 0, 0}
## 278 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 279 {0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3, 0, 0, 0, 0, 0, 0, -0.3, -1.7}
## 280 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 281 {0, 0, 0, 0, 3.083}
## 282 {0, 0, 0, 0, 0, 0, 0}
## 283 {0, 0, 0, 0, 0, 0, 0, 0, 0}
## 284 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 285 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0}
## 286 {0, 0, 0, 0, -0.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.55, 0}
## 287 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0}
## 288 {0, 0, 0, 0, 0, 0, 0, 0, 2.193, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 289 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0}
## 290 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.85}
## 291 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.9, 0, 0, 0}
## 292 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.6035, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 293 {0, 0, -1.5, -2.5}
## 294 {0, 0, 0, 0}
## 295 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.76823, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.65, 0}
## 296 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 297 {0, 0, 0, 0.85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 298 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.258, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4}
## 299 {0, 0, 0, 0, 0}
## 300 {0, 0, 0, -2.1, 0, 0, 0, 0}
## 301 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 302 {0, 0, 0, 0, 0, 0}
## 303 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.6, 0}
## 304 {0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 305 {0, 0, 0, 0, 2.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 306 {0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0}
## 307 {0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2, 0, 0, 0, 0, 0, 0, 0, 0, -1.036, 0, 1.332, 0, 0, -2.6}
## 308 {0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 309 {0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3, 0, 0, 0, 0, 0, 0, 0, 0, 1.393, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8}
## 310 {0, 0, 0, -2.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4}
## 311 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 312 {0, 0, 0, 0, 0, 0, 0, 0, -2.3, 0, 0, 0, 0, 0, 0, 0, 0}
## 313 {0, 0, 0, 0, 0, 0, 0}
## 314 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.65, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 315 {0, 0, 0, 0, 0, 0}
## 316 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 317 {0, 0, 0, 0, 0, 0, 0, 0, 0}
## 318 {1.3, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 0, 0, 0, 0, -3.2, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, -0.5, -1.1, 0, 0, 0, 0.3, 0, 0, -2.3, 1.6, 0, 0, 0, 0, 0}
## 319 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.0895, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 0, 0, 0, 0, 0}
## 320 {0, 0, 0, 0, 0, 0, 0, 0, 0}
## 321 {0, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.65, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.887, 0}
## 322 {0, 3.1, 0, 0, 0, 0, 0, 0, 0, -0.5, 0, 0, 0}
## 323 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 324 {0, 0, 0, 2.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 325 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0, 0, 0}
## 326 {0, 0, 0, 0, 0, 0, 0}
## 327 {0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 328 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.9, 0, 0, 1.2, 0, 0, 0, 0, 0, 0, 0, 0, -1.6, 0, 0}
## 329 {0, 0, 0, 0, 0, 0, 0, 0, 1.1165, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0, 0, 0, 0, 0, 0, 0.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 330 {0, 0, 0, 0}
## 331 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.7, 0, 0, 0, 0, -2.4, 0, 0}
## 332 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 333 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.45, 0, 0, 0, 0, 0, 0, 0, 0}
## 334 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0}
## 335 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, -0.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 336 {0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 337 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 338 {0, 0, 3.2, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0}
## 339 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 340 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 341 {0, 0, 0}
## 342 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.193, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 343 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 344 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 345 {0, 0, 0, 0, 0, 0, -0.7965, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.25, 0, 0, 0, 3.75, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 0, 0, 0, 0, 0, 1.65}
## 346 {0, 0, 0, 0, 0, 0, 0, -2.993, 0, 0, 0, 0, 0, 0, 1.8}
## 347 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 348 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 349 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.35}
## 350 {0, 0, 0, 0, 0, 0, 0, 0}
## 351 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 352 {0, 0, 0, 0, 0, 0, 0, 0, 0}
## 353 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 354 {0, 0, 0, -2.1, 0, 0, 0, 0}
## 355 {0, 0, 0, 0, 0, -2.6, 0, 0, 0, 0, 0, 0, 0, -2.1, 2.45}
## 356 {0, 0, 0, 0, 0, 0}
## 357 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 358 {0, 1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 359 {0, 0, 0, -3.693, 0, 0, 0, 0, 0, 0}
## 360 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0}
## 361 {0, 0, 0, 0, 0, 0, 0, 0}
## 362 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 363 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 364 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 365 {0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, -2.793, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.593, 0, 0, 0, 0}
## 366 {0, 1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 367 {-2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 368 {0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.1, 0, 0, 0, 0, 0, 1.7, 0, 0}
## 369 {0, 0, 0, 0, -1.5, 0}
## 370 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 371 {0, -1.2, 0, 0, 1.3}
## 372 {0, 0, 0, 0, 1.0665, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.8895}
## 373 {0, 1.5, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 374 {0, 0, 1.5, 0, 0, 0, 0, 0, 0}
## 375 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, -0.5, 0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0}
## 376 {0, 0, 0, -0.25, 0, 1.15, 0, 0, 0.185, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 377 {0, 0, 0, 0, 0, 0, 0, 0}
## 378 {0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0}
## 379 {0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, 0, 0, 0, 0, 0.8, 0, 0, 0, 1.7, 0}
## 380 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 381 {-2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 382 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.6, -2.5, 0, 0, 0, 0, 0, -2.5, 0, 0, 0}
## 383 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.6, 0, 0, 0}
## 384 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2, 0, 0, 0, 0}
## 385 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.526, 0}
## 386 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.7, 0, 0, 0, 0, 0, 0, 0, 0}
## 387 {0, 0, 0, 0, 0, 0}
## 388 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 389 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3, 0, 0, 0}
## 390 {0, 0, 0, 0, 0}
## 391 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 392 {0, 0, 0, 0, 0, 3.1, 3.2, 0}
## 393 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.8, 0, 0, 0, 0, 0, 0, 0, 0}
## 394 {0, 0, 0, -1.15, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.95, 0, 0, 0, 0, -2.7, 0, -1.5, 0, -2.1, 0, -2.1}
## 395 {0, 0, 0}
## 396 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3.15, 0, 0, 0, 0, 1.95, 0, 0, 0, -2.25, 0}
## 397 {0, 0, 0}
## 398 {0, 0, 0}
## 399 {0, 0, 0, 0, 0}
## 400 {0, 0, 0, 0, 0}
## 401 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 402 {0, 0, 0, 2.6, 0, 0, 0, 0, 0, 0, 0, 0, 2.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0}
## 403 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0}
## 404 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.05, 0}
## 405 {0, 0, 0, 0, 1.5, 0, 0, 0, -2.6, 0, 0, 0, 0}
## 406 {0, 0, 0, 0, 0, 0, 0, -2.2, 0, 0}
## 407 {0, 0, 0, 0, 0, 0, -0.4, 0, 0}
## 408 {1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7}
## 409 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 410 {0, 0, 0, 0, 0, 0, 0, 0, -2.8, 0, 0, 0, 0, 0, 1.8, 0}
## 411 {0, 0, 0, 0, 0, 0.9, 0, 0.95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.1, 0, 0, -0.85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.85, 0, 0, 0, 0, 3.45, 0, 0, 0, -1.665, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 412 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 413 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3, 0, 0, 0, 0}
## 414 {0, 0, -1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0}
## 415 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.7, 0, 0, 0}
## 416 {0, 0, 0, 0, 0, 0}
## 417 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 418 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.493, 0, 0, 0, 0, 0, 0, 0, 0}
## 419 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 420 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 421 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 422 {0, 0, 0, 0, 0, 0, 0, -2.3, 0, 0, 0}
## 423 {0, 0, 0, 0}
## 424 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 425 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 426 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.1077, 0, 0, 0}
## 427 {0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 428 {0, 0, 0, 0, 0, 0, 0, 0, 3.2, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, -1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 429 {0, 0, 0, 0, 0, 0, 0, 0, 0}
## 430 {0, 0, 0, 0, 0, 0, 0}
## 431 {0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 0, 0, 0, 0, 0}
## 432 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 433 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.593, 0}
## 434 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 435 {0, 0, -2.993, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 436 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 2.033, 0, 0, 0, 0, 0}
## 437 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0, 0}
## 438 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0}
## 439 {0, 0, 0, 0, -3.4}
## 440 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 441 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7, 0}
## 442 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0}
## 443 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 444 {0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8}
## 445 {0, 0, 0, 0, 0, 0, 0, 0}
## 446 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 447 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.258, 0, 0, 0, 0, 1, 0, 0}
## 448 {0, 0, 0, 0}
## 449 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 450 {0, -1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, -2.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0}
## 451 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 452 {0, 0, 0, 0, 0, -1.3, 0, 0, 0, -2.8, 0, 0}
## 453 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0, -1.2, -1.3, 0, 0, 0, 2.5, 0, 0, 0, -2.9, 0, 0, 0, 0, 0, 0, 0, 0, -0.4}
## 454 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 455 {0, 0, 0, 0, 0, 0, 0, 0}
## 456 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.4, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 457 {0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, -1.2, 0, 0, 0, 0, 0, 0, 0.5, 0, 0, 0, 0, 1.1, 0, 0, 0, 0, 0, 0, 0, -0.222, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 0}
## 458 {0, 0, 0, 0, 0, 0, 0, 0}
## 459 {0, 0, 0, -0.2, 0, 0, 0, 0, 1.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.693, 0, 0, 0, -2.2}
## 460 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 461 {0, 0, 0, 0, 0, 0, 0, 1.8, 0, 0, 0, 0, 0, 0, 0}
## 462 {0, 0, 0, 0, 0, 0, 0}
## 463 {0, 0, 0, 0, 0, 0, 0, 0, 0, -1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.7, 0, 0, 0, 0, 0, 0, 0, 0}
## 464 {1.7, 0, 0, 0, 0, 0, 0, 0}
## 465 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.7, 0, 0, 0, 0, -1.3, 0, 0, 0, -1.4, -3.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 466 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 2, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 467 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 468 {0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9, 0, 0, 0, 0, 0, 0}
## 469 {0, 2.433, 0, 0, 0, 0, 0, 0, 0, 0, -1.933, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.2, 0}
## 470 {0, 0, 0, 0, 0, -0.25, 0, 0, 0, 0, -0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 471 {0, 0, 1.7, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 472 {0, 0, -1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 473 {0, 0, 0, 0, 0, 0, 1.5, 0, 0, 0, 0, -1.7, 0, 0, 0}
## 474 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3, 0, -1.9, 0, 0, 0, 0, 2.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.6, 0, 0, 0, -1}
## 475 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.65}
## 476 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 477 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 478 {0, 1.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.2, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 479 {0, 1.2, 0, 0, 0, 0, 0, 0, 3}
## 480 {0, 0, 0, 0, 0, 0, 0, 0}
## 481 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 482 {0, 0, 1.25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 483 {0, 0, 0, 0, 0, 0}
## 484 {0, 0, 2.2, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.3, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, -1.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 485 {0, 2.35, 0, 0, 0, -1.7}
## 486 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 487 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 488 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 489 {0, -2.7, 0, 0, 0, 0, 2}
## 490 {0, 0, 0, 0, 0, 1.7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 491 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 492 {0, 0, 0, 0, 0, 0, 0, 0, -2.8}
## 493 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 494 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 495 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4, 0, 0, 0, 0, 0, 0, 0, 0}
## 496 {0, 0, -1.2, 0, 0, 0}
## 497 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 498 {0, 0, 0.35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.518, 0, 0, 0.999, 0, 0, 0, 0, 0, 0, 0}
## 499 {0, 1.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.9, 0, 0, 0, 0, 0, 0, 0, 0, 0}
## 500 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2.3}
## compound pos neu neg but_count
## 1 0.077 0.234 0.561 0.206 0
## 2 0.635 0.185 0.752 0.064 0
## 3 -0.316 0.096 0.735 0.169 0
## 4 0.000 0.000 1.000 0.000 0
## 5 -0.586 0.000 0.907 0.093 0
## 6 -0.296 0.000 0.804 0.196 0
## 7 -0.504 0.000 0.891 0.109 0
## 8 0.807 0.235 0.716 0.049 0
## 9 0.000 0.000 1.000 0.000 0
## 10 0.000 0.000 1.000 0.000 0
## 11 0.000 0.000 1.000 0.000 0
## 12 0.660 0.293 0.707 0.000 0
## 13 -0.382 0.099 0.714 0.187 0
## 14 0.052 0.288 0.500 0.212 0
## 15 0.000 0.000 1.000 0.000 0
## 16 -0.542 0.000 0.824 0.176 0
## 17 0.000 0.000 1.000 0.000 0
## 18 0.000 0.000 1.000 0.000 0
## 19 -0.629 0.000 0.659 0.341 0
## 20 0.000 0.000 1.000 0.000 0
## 21 0.674 0.292 0.708 0.000 0
## 22 -0.705 0.081 0.648 0.271 0
## 23 0.000 0.000 1.000 0.000 0
## 24 0.000 0.000 1.000 0.000 0
## 25 0.000 0.000 1.000 0.000 0
## 26 -0.128 0.105 0.766 0.129 0
## 27 -0.647 0.033 0.849 0.118 0
## 28 0.000 0.000 1.000 0.000 0
## 29 0.273 0.174 0.826 0.000 0
## 30 -0.402 0.000 0.816 0.184 0
## 31 -0.586 0.000 0.612 0.388 0
## 32 -0.852 0.000 0.780 0.220 0
## 33 -0.789 0.083 0.682 0.234 0
## 34 0.296 0.196 0.804 0.000 0
## 35 -0.670 0.046 0.807 0.147 0
## 36 0.000 0.000 1.000 0.000 0
## 37 0.000 0.000 1.000 0.000 0
## 38 -0.388 0.000 0.897 0.103 0
## 39 0.456 0.145 0.792 0.063 0
## 40 0.000 0.000 1.000 0.000 0
## 41 0.000 0.000 1.000 0.000 0
## 42 0.000 0.000 1.000 0.000 0
## 43 0.000 0.000 1.000 0.000 0
## 44 -0.945 0.000 0.576 0.424 0
## 45 0.000 0.000 1.000 0.000 0
## 46 0.000 0.000 1.000 0.000 0
## 47 -0.420 0.000 0.589 0.411 0
## 48 0.000 0.000 1.000 0.000 0
## 49 0.026 0.023 0.977 0.000 0
## 50 0.494 0.138 0.804 0.058 0
## 51 -0.935 0.040 0.663 0.296 0
## 52 0.202 0.140 0.771 0.089 0
## 53 0.273 0.104 0.896 0.000 0
## 54 0.660 0.217 0.668 0.115 0
## 55 0.509 0.188 0.736 0.076 1
## 56 0.000 0.000 1.000 0.000 0
## 57 0.622 0.149 0.789 0.062 0
## 58 0.519 0.251 0.749 0.000 0
## 59 0.000 0.000 1.000 0.000 0
## 60 -0.625 0.000 0.837 0.163 0
## 61 0.000 0.000 1.000 0.000 0
## 62 -0.168 0.147 0.671 0.182 0
## 63 -0.318 0.000 0.897 0.103 0
## 64 0.000 0.000 1.000 0.000 0
## 65 0.000 0.000 1.000 0.000 0
## 66 0.273 0.075 0.925 0.000 0
## 67 0.900 0.302 0.698 0.000 0
## 68 0.402 0.137 0.863 0.000 0
## 69 -0.296 0.000 0.855 0.145 0
## 70 0.925 0.332 0.668 0.000 0
## 71 0.000 0.000 1.000 0.000 0
## 72 -0.702 0.129 0.672 0.199 0
## 73 0.000 0.000 1.000 0.000 0
## 74 0.527 0.175 0.825 0.000 0
## 75 0.000 0.000 1.000 0.000 0
## 76 -0.670 0.100 0.519 0.381 0
## 77 -0.359 0.066 0.820 0.115 0
## 78 -0.891 0.048 0.703 0.249 0
## 79 -0.494 0.040 0.854 0.107 0
## 80 0.575 0.117 0.840 0.043 0
## 81 0.000 0.000 1.000 0.000 0
## 82 -0.262 0.153 0.693 0.154 1
## 83 0.557 0.434 0.566 0.000 0
## 84 0.000 0.000 1.000 0.000 0
## 85 -0.052 0.078 0.839 0.084 0
## 86 0.153 0.164 0.697 0.139 0
## 87 0.250 0.080 0.920 0.000 0
## 88 0.000 0.000 1.000 0.000 0
## 89 0.000 0.000 1.000 0.000 0
## 90 0.273 0.231 0.769 0.000 0
## 91 0.652 0.282 0.718 0.000 0
## 92 0.000 0.000 1.000 0.000 0
## 93 -0.003 0.128 0.761 0.112 0
## 94 -0.241 0.000 0.921 0.079 0
## 95 0.746 0.232 0.655 0.113 2
## 96 0.000 0.000 1.000 0.000 0
## 97 -0.732 0.074 0.762 0.164 0
## 98 0.421 0.149 0.851 0.000 0
## 99 -0.318 0.000 0.867 0.133 0
## 100 0.000 0.000 1.000 0.000 0
## 101 0.077 0.106 0.894 0.000 0
## 102 -0.477 0.000 0.693 0.307 0
## 103 0.361 0.135 0.865 0.000 0
## 104 0.856 0.203 0.797 0.000 0
## 105 0.340 0.245 0.625 0.130 0
## 106 0.166 0.094 0.791 0.115 1
## 107 0.000 0.000 1.000 0.000 0
## 108 0.000 0.000 1.000 0.000 1
## 109 0.000 0.000 1.000 0.000 1
## 110 0.799 0.132 0.868 0.000 1
## 111 0.000 0.000 1.000 0.000 0
## 112 0.402 0.109 0.891 0.000 0
## 113 -0.247 0.000 0.945 0.055 1
## 114 -0.889 0.000 0.800 0.200 1
## 115 0.599 0.172 0.757 0.070 0
## 116 -0.840 0.000 0.680 0.320 0
## 117 -0.026 0.115 0.767 0.118 0
## 118 0.000 0.000 1.000 0.000 0
## 119 0.208 0.078 0.882 0.040 0
## 120 0.000 0.000 1.000 0.000 0
## 121 0.000 0.000 1.000 0.000 0
## 122 0.000 0.000 1.000 0.000 0
## 123 0.296 0.120 0.817 0.062 0
## 124 0.649 0.108 0.892 0.000 0
## 125 0.939 0.253 0.747 0.000 0
## 126 -0.440 0.000 0.707 0.293 0
## 127 -0.660 0.000 0.714 0.286 0
## 128 0.178 0.055 0.945 0.000 0
## 129 -0.447 0.134 0.663 0.203 0
## 130 -0.750 0.000 0.758 0.242 0
## 131 -0.226 0.040 0.901 0.059 0
## 132 -0.494 0.000 0.868 0.132 0
## 133 0.285 0.184 0.693 0.123 0
## 134 0.000 0.000 1.000 0.000 0
## 135 0.637 0.282 0.565 0.153 0
## 136 -0.475 0.000 0.829 0.171 0
## 137 0.000 0.000 1.000 0.000 0
## 138 0.000 0.000 1.000 0.000 0
## 139 0.710 0.203 0.797 0.000 0
## 140 0.000 0.000 1.000 0.000 0
## 141 0.000 0.000 1.000 0.000 0
## 142 0.361 0.263 0.737 0.000 0
## 143 -0.508 0.000 0.798 0.202 0
## 144 -0.899 0.000 0.770 0.230 0
## 145 -0.541 0.095 0.752 0.153 1
## 146 -0.788 0.000 0.861 0.139 1
## 147 0.000 0.000 1.000 0.000 0
## 148 -0.511 0.000 0.645 0.355 0
## 149 0.273 0.095 0.905 0.000 0
## 150 -0.572 0.000 0.619 0.381 0
## 151 -0.296 0.000 0.577 0.423 0
## 152 0.743 0.266 0.631 0.103 0
## 153 -0.681 0.082 0.660 0.258 0
## 154 0.000 0.000 1.000 0.000 0
## 155 -0.542 0.000 0.829 0.171 0
## 156 -0.250 0.074 0.806 0.120 0
## 157 0.000 0.000 1.000 0.000 0
## 158 0.000 0.000 1.000 0.000 0
## 159 -0.439 0.041 0.863 0.096 0
## 160 0.000 0.000 1.000 0.000 0
## 161 0.058 0.049 0.910 0.041 0
## 162 0.960 0.305 0.695 0.000 0
## 163 0.273 0.130 0.870 0.000 0
## 164 -0.294 0.000 0.762 0.238 0
## 165 0.000 0.000 1.000 0.000 0
## 166 -0.361 0.038 0.871 0.091 0
## 167 0.000 0.000 1.000 0.000 0
## 168 -0.318 0.000 0.839 0.161 0
## 169 0.000 0.000 1.000 0.000 0
## 170 0.000 0.000 1.000 0.000 0
## 171 0.564 0.477 0.523 0.000 0
## 172 -0.361 0.000 0.741 0.259 0
## 173 -0.293 0.088 0.785 0.127 0
## 174 0.000 0.000 1.000 0.000 0
## 175 -0.586 0.000 0.877 0.123 0
## 176 -0.883 0.054 0.664 0.281 0
## 177 0.000 0.000 1.000 0.000 0
## 178 0.000 0.000 1.000 0.000 0
## 179 0.624 0.204 0.796 0.000 0
## 180 -0.477 0.050 0.835 0.115 0
## 181 0.673 0.129 0.834 0.037 0
## 182 0.000 0.000 1.000 0.000 0
## 183 -0.402 0.000 0.912 0.088 0
## 184 -0.660 0.062 0.774 0.164 0
## 185 0.000 0.000 1.000 0.000 0
## 186 -0.658 0.000 0.785 0.215 0
## 187 0.000 0.000 1.000 0.000 0
## 188 0.000 0.000 1.000 0.000 0
## 189 0.000 0.000 1.000 0.000 0
## 190 0.836 0.175 0.825 0.000 0
## 191 0.361 0.172 0.828 0.000 0
## 192 -0.202 0.047 0.892 0.061 0
## 193 -0.204 0.147 0.670 0.183 0
## 194 0.421 0.076 0.924 0.000 0
## 195 0.000 0.000 1.000 0.000 0
## 196 0.493 0.444 0.556 0.000 0
## 197 0.318 0.161 0.839 0.000 0
## 198 0.000 0.000 1.000 0.000 0
## 199 0.000 0.000 1.000 0.000 0
## 200 0.000 0.000 1.000 0.000 0
## 201 0.852 0.189 0.811 0.000 1
## 202 -0.402 0.000 0.787 0.213 0
## 203 0.340 0.045 0.955 0.000 0
## 204 0.511 0.163 0.837 0.000 0
## 205 0.000 0.000 1.000 0.000 0
## 206 0.000 0.000 1.000 0.000 0
## 207 0.000 0.000 1.000 0.000 0
## 208 -0.318 0.000 0.943 0.057 0
## 209 -0.121 0.000 0.919 0.081 0
## 210 0.647 0.196 0.736 0.068 1
## 211 -0.340 0.000 0.893 0.107 0
## 212 -0.128 0.069 0.849 0.082 0
## 213 -0.026 0.063 0.872 0.065 0
## 214 0.000 0.000 1.000 0.000 0
## 215 0.000 0.000 1.000 0.000 0
## 216 -0.678 0.129 0.643 0.228 0
## 217 0.511 0.157 0.755 0.088 0
## 218 0.361 0.185 0.815 0.000 0
## 219 0.831 0.210 0.790 0.000 0
## 220 0.077 0.105 0.801 0.094 0
## 221 0.824 0.208 0.792 0.000 0
## 222 -0.586 0.000 0.625 0.375 0
## 223 0.660 0.101 0.899 0.000 0
## 224 0.000 0.000 1.000 0.000 0
## 225 -0.402 0.000 0.915 0.085 0
## 226 0.000 0.000 1.000 0.000 0
## 227 0.000 0.000 1.000 0.000 0
## 228 -0.665 0.029 0.854 0.117 1
## 229 -0.815 0.068 0.626 0.306 1
## 230 -0.019 0.000 0.937 0.063 0
## 231 0.000 0.000 1.000 0.000 0
## 232 0.493 0.199 0.694 0.107 0
## 233 0.000 0.000 1.000 0.000 0
## 234 0.870 0.157 0.843 0.000 1
## 235 0.000 0.000 1.000 0.000 0
## 236 0.000 0.000 1.000 0.000 0
## 237 -0.450 0.079 0.798 0.123 2
## 238 0.000 0.000 1.000 0.000 0
## 239 -0.527 0.000 0.812 0.188 0
## 240 0.402 0.091 0.909 0.000 0
## 241 -0.649 0.000 0.904 0.096 0
## 242 0.977 0.431 0.548 0.022 0
## 243 -0.250 0.061 0.859 0.080 0
## 244 0.000 0.000 1.000 0.000 0
## 245 -0.751 0.000 0.845 0.155 0
## 246 0.273 0.344 0.656 0.000 0
## 247 0.718 0.304 0.572 0.123 0
## 248 0.000 0.070 0.861 0.070 0
## 249 -0.477 0.000 0.947 0.053 0
## 250 0.827 0.268 0.732 0.000 1
## 251 0.380 0.224 0.776 0.000 0
## 252 -0.852 0.000 0.646 0.354 0
## 253 0.224 0.076 0.924 0.000 0
## 254 0.000 0.000 1.000 0.000 0
## 255 -0.402 0.000 0.722 0.278 0
## 256 0.000 0.000 1.000 0.000 0
## 257 -0.318 0.000 0.948 0.052 0
## 258 0.840 0.183 0.817 0.000 0
## 259 0.372 0.118 0.820 0.063 0
## 260 0.717 0.177 0.732 0.091 2
## 261 0.309 0.139 0.861 0.000 0
## 262 0.000 0.000 1.000 0.000 0
## 263 -0.477 0.000 0.807 0.193 0
## 264 0.000 0.000 1.000 0.000 0
## 265 0.335 0.084 0.877 0.039 0
## 266 0.735 0.238 0.762 0.000 0
## 267 -0.178 0.141 0.634 0.224 0
## 268 -0.276 0.000 0.950 0.050 0
## 269 -0.153 0.033 0.925 0.042 0
## 270 0.135 0.069 0.850 0.082 0
## 271 -0.178 0.211 0.526 0.263 0
## 272 -0.153 0.085 0.805 0.110 0
## 273 -0.755 0.061 0.748 0.191 0
## 274 0.077 0.098 0.902 0.000 0
## 275 0.361 0.045 0.955 0.000 0
## 276 -0.228 0.000 0.942 0.058 0
## 277 0.399 0.309 0.691 0.000 0
## 278 0.178 0.052 0.948 0.000 1
## 279 -0.586 0.063 0.754 0.183 0
## 280 0.567 0.064 0.936 0.000 0
## 281 0.623 0.505 0.495 0.000 0
## 282 0.000 0.000 1.000 0.000 0
## 283 0.000 0.000 1.000 0.000 0
## 284 0.000 0.000 1.000 0.000 0
## 285 -0.250 0.000 0.882 0.118 0
## 286 0.509 0.188 0.736 0.076 1
## 287 -0.318 0.000 0.859 0.141 0
## 288 0.848 0.183 0.817 0.000 0
## 289 -0.375 0.079 0.793 0.128 0
## 290 0.593 0.259 0.741 0.000 1
## 291 0.226 0.091 0.909 0.000 0
## 292 -0.154 0.000 0.961 0.039 1
## 293 -0.718 0.000 0.250 0.750 0
## 294 0.000 0.000 1.000 0.000 0
## 295 0.597 0.180 0.732 0.088 1
## 296 0.000 0.000 1.000 0.000 0
## 297 -0.459 0.050 0.845 0.105 1
## 298 -0.605 0.067 0.747 0.185 0
## 299 0.000 0.000 1.000 0.000 0
## 300 -0.477 0.000 0.693 0.307 0
## 301 -0.542 0.022 0.912 0.065 0
## 302 0.000 0.000 1.000 0.000 0
## 303 -0.734 0.000 0.874 0.126 0
## 304 -0.477 0.000 0.807 0.193 0
## 305 0.818 0.190 0.810 0.000 0
## 306 0.296 0.099 0.901 0.000 0
## 307 0.201 0.212 0.627 0.161 0
## 308 0.273 0.063 0.937 0.000 0
## 309 0.796 0.171 0.829 0.000 0
## 310 -0.772 0.000 0.660 0.340 0
## 311 0.000 0.000 1.000 0.000 0
## 312 -0.511 0.000 0.829 0.171 0
## 313 0.000 0.000 1.000 0.000 0
## 314 0.307 0.067 0.933 0.000 1
## 315 0.000 0.000 1.000 0.000 0
## 316 0.000 0.000 1.000 0.000 0
## 317 0.000 0.000 1.000 0.000 0
## 318 -0.527 0.176 0.587 0.237 0
## 319 0.809 0.134 0.866 0.000 2
## 320 0.000 0.000 1.000 0.000 0
## 321 0.016 0.126 0.751 0.124 1
## 322 0.598 0.260 0.651 0.089 0
## 323 0.000 0.000 1.000 0.000 0
## 324 0.525 0.111 0.843 0.046 0
## 325 -0.494 0.000 0.840 0.160 0
## 326 0.000 0.000 1.000 0.000 0
## 327 0.077 0.039 0.961 0.000 0
## 328 -0.511 0.077 0.732 0.192 0
## 329 0.650 0.130 0.870 0.000 1
## 330 0.000 0.000 1.000 0.000 0
## 331 -0.796 0.000 0.705 0.295 0
## 332 0.000 0.000 1.000 0.000 0
## 333 -0.329 0.032 0.906 0.062 1
## 334 -0.611 0.054 0.818 0.128 0
## 335 -0.440 0.000 0.913 0.087 0
## 336 0.273 0.072 0.928 0.000 0
## 337 0.000 0.000 1.000 0.000 0
## 338 0.509 0.228 0.660 0.112 0
## 339 0.000 0.000 1.000 0.000 0
## 340 0.000 0.000 1.000 0.000 0
## 341 0.000 0.000 1.000 0.000 0
## 342 0.294 0.057 0.943 0.000 0
## 343 0.294 0.092 0.847 0.061 0
## 344 0.000 0.000 1.000 0.000 0
## 345 0.927 0.217 0.756 0.027 1
## 346 -0.294 0.141 0.657 0.202 0
## 347 0.000 0.000 1.000 0.000 0
## 348 0.000 0.000 1.000 0.000 0
## 349 0.686 0.127 0.873 0.000 0
## 350 0.000 0.000 1.000 0.000 0
## 351 0.000 0.000 1.000 0.000 0
## 352 0.000 0.000 1.000 0.000 0
## 353 0.103 0.065 0.879 0.056 0
## 354 -0.477 0.000 0.693 0.307 0
## 355 -0.502 0.156 0.542 0.302 0
## 356 0.000 0.000 1.000 0.000 0
## 357 0.000 0.000 1.000 0.000 0
## 358 0.340 0.091 0.909 0.000 1
## 359 -0.690 0.000 0.657 0.343 0
## 360 -0.226 0.000 0.921 0.079 0
## 361 0.000 0.000 1.000 0.000 0
## 362 -0.450 0.000 0.933 0.067 1
## 363 0.000 0.000 1.000 0.000 0
## 364 0.000 0.000 1.000 0.000 0
## 365 -0.734 0.032 0.798 0.170 0
## 366 0.750 0.154 0.846 0.000 0
## 367 -0.494 0.000 0.814 0.186 0
## 368 0.822 0.281 0.719 0.000 0
## 369 -0.361 0.000 0.667 0.333 0
## 370 0.000 0.000 1.000 0.000 0
## 371 0.026 0.307 0.400 0.293 0
## 372 -0.589 0.042 0.858 0.100 1
## 373 0.707 0.103 0.897 0.000 0
## 374 0.361 0.238 0.762 0.000 0
## 375 -0.421 0.036 0.841 0.123 0
## 376 -0.105 0.111 0.765 0.124 1
## 377 0.000 0.000 1.000 0.000 0
## 378 0.052 0.092 0.822 0.086 0
## 379 0.660 0.241 0.688 0.072 0
## 380 0.000 0.000 1.000 0.000 0
## 381 -0.494 0.000 0.814 0.186 0
## 382 -0.660 0.049 0.817 0.133 0
## 383 -0.539 0.000 0.775 0.225 0
## 384 0.735 0.171 0.829 0.000 0
## 385 -0.445 0.060 0.811 0.129 0
## 386 -0.691 0.000 0.865 0.135 0
## 387 0.000 0.000 1.000 0.000 0
## 388 0.000 0.000 1.000 0.000 0
## 389 -0.511 0.000 0.940 0.060 0
## 390 0.000 0.000 1.000 0.000 0
## 391 0.000 0.000 1.000 0.000 1
## 392 0.862 0.589 0.411 0.000 0
## 393 -0.619 0.000 0.874 0.126 1
## 394 -0.955 0.000 0.582 0.418 1
## 395 0.000 0.000 1.000 0.000 0
## 396 -0.665 0.065 0.772 0.163 1
## 397 0.000 0.000 1.000 0.000 0
## 398 0.000 0.000 1.000 0.000 0
## 399 0.000 0.000 1.000 0.000 0
## 400 0.000 0.000 1.000 0.000 0
## 401 0.000 0.000 1.000 0.000 0
## 402 0.917 0.227 0.773 0.000 0
## 403 -0.361 0.000 0.930 0.070 0
## 404 0.723 0.280 0.720 0.000 1
## 405 -0.273 0.146 0.643 0.211 0
## 406 -0.541 0.000 0.720 0.280 0
## 407 -0.176 0.000 0.825 0.175 0
## 408 0.494 0.244 0.756 0.000 0
## 409 0.000 0.000 1.000 0.000 0
## 410 -0.250 0.136 0.680 0.184 0
## 411 0.760 0.174 0.731 0.095 1
## 412 0.000 0.000 1.000 0.000 0
## 413 -0.511 0.000 0.829 0.171 0
## 414 -0.796 0.000 0.847 0.153 0
## 415 0.459 0.108 0.843 0.049 1
## 416 0.000 0.000 1.000 0.000 0
## 417 0.000 0.000 1.000 0.000 0
## 418 -0.360 0.000 0.894 0.106 0
## 419 0.000 0.000 1.000 0.000 0
## 420 -0.477 0.000 0.946 0.054 0
## 421 0.000 0.000 1.000 0.000 0
## 422 -0.511 0.000 0.752 0.248 0
## 423 0.000 0.000 1.000 0.000 0
## 424 0.000 0.000 1.000 0.000 0
## 425 0.000 0.000 1.000 0.000 0
## 426 -0.478 0.000 0.818 0.182 0
## 427 -0.400 0.044 0.877 0.079 0
## 428 0.612 0.154 0.781 0.065 0
## 429 0.000 0.000 1.000 0.000 0
## 430 0.000 0.000 1.000 0.000 0
## 431 0.555 0.150 0.850 0.000 0
## 432 0.202 0.042 0.958 0.000 0
## 433 -0.482 0.000 0.806 0.194 0
## 434 0.000 0.000 1.000 0.000 0
## 435 -0.504 0.100 0.723 0.178 0
## 436 0.750 0.115 0.885 0.000 0
## 437 0.421 0.128 0.872 0.000 0
## 438 -0.822 0.000 0.744 0.256 0
## 439 -0.690 0.000 0.460 0.540 0
## 440 0.000 0.000 1.000 0.000 1
## 441 0.178 0.086 0.914 0.000 0
## 442 0.612 0.200 0.800 0.000 0
## 443 -0.296 0.000 0.905 0.095 0
## 444 0.153 0.065 0.884 0.051 0
## 445 0.000 0.000 1.000 0.000 0
## 446 0.273 0.065 0.935 0.000 0
## 447 -0.066 0.064 0.864 0.072 0
## 448 0.000 0.000 1.000 0.000 0
## 449 0.000 0.000 1.000 0.000 0
## 450 -0.881 0.000 0.758 0.242 0
## 451 -0.511 0.033 0.878 0.090 0
## 452 -0.727 0.000 0.621 0.379 0
## 453 -0.439 0.128 0.663 0.209 0
## 454 0.000 0.000 1.000 0.000 1
## 455 0.000 0.000 1.000 0.000 0
## 456 -0.765 0.000 0.847 0.153 0
## 457 -0.159 0.104 0.778 0.117 0
## 458 0.000 0.000 1.000 0.000 0
## 459 -0.709 0.038 0.820 0.141 0
## 460 0.000 0.000 1.000 0.000 0
## 461 0.421 0.167 0.833 0.000 0
## 462 0.000 0.000 1.000 0.000 0
## 463 -0.557 0.000 0.897 0.103 0
## 464 0.402 0.278 0.722 0.000 0
## 465 -0.889 0.000 0.816 0.184 0
## 466 0.571 0.136 0.810 0.055 0
## 467 0.000 0.000 1.000 0.000 0
## 468 0.700 0.172 0.828 0.000 0
## 469 -0.178 0.097 0.759 0.144 0
## 470 -0.283 0.000 0.880 0.120 2
## 471 -0.077 0.066 0.860 0.074 0
## 472 -0.273 0.000 0.861 0.139 0
## 473 -0.052 0.137 0.714 0.148 0
## 474 0.000 0.092 0.800 0.108 0
## 475 0.392 0.099 0.901 0.000 1
## 476 0.000 0.000 1.000 0.000 0
## 477 0.000 0.000 1.000 0.000 0
## 478 0.511 0.112 0.846 0.042 0
## 479 0.757 0.481 0.519 0.000 0
## 480 0.000 0.000 1.000 0.000 0
## 481 0.637 0.087 0.913 0.000 0
## 482 0.307 0.072 0.928 0.000 1
## 483 0.000 0.000 1.000 0.000 0
## 484 0.649 0.189 0.759 0.052 0
## 485 0.166 0.333 0.398 0.269 0
## 486 0.000 0.000 1.000 0.000 0
## 487 0.000 0.000 1.000 0.000 0
## 488 0.000 0.000 1.000 0.000 0
## 489 -0.178 0.256 0.427 0.316 0
## 490 0.052 0.056 0.892 0.052 0
## 491 0.000 0.000 1.000 0.000 0
## 492 -0.586 0.000 0.678 0.322 0
## 493 0.000 0.000 1.000 0.000 0
## 494 0.000 0.000 1.000 0.000 0
## 495 0.340 0.064 0.936 0.000 0
## 496 -0.296 0.000 0.694 0.306 0
## 497 -0.318 0.000 0.922 0.078 0
## 498 0.210 0.125 0.819 0.057 1
## 499 0.331 0.101 0.840 0.059 0
## 500 -0.511 0.000 0.784 0.216 0Take a look at vader_summary data frame using the View() function and sort by most positive and negative tweets.
Does it generally seem accurately identify positive and negative tweets? Could you find any that you think were mislabeled?
- YOUR RESPONSE HERE
Hutto, C. & Gilbert, E. (2014) provide an excellent summary of the VADER package on their GitHub repository and I’ve copied and explanation of the scores below:
- The
compoundscore is computed by summing the valence scores of each word in the lexicon, adjusted according to the rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive). This is the most useful metric if you want a single unidimensional measure of sentiment for a given sentence. Calling it a ‘normalized, weighted composite score’ is accurate.
NOTE: The compound score is the one most commonly used for sentiment analysis by most researchers, including the authors.
Let’s take a look at the average compound score for our CCSS sample of tweets:
mean(vader_ccss$compound)## [1] -0.01849Overall, does your CCSS tweets sample lean slightly negative or positive? Is this what you expected?
What if we wanted to compare these results more easily to our other sentiment lexicons just to check if result are fairly consistent?
The author’s note that it is also useful for researchers who would like to set standardized thresholds for classifying sentences as either positive, neutral, or negative. Typical threshold values are:
positive sentiment:
compoundscore >= 0.05neutral sentiment: (
compoundscore > -0.05) and (compoundscore < 0.05)negative sentiment:
compoundscore <= -0.05
Let’s give that a try and see how things shake out:
vader_ccss_summary <- vader_ccss %>%
mutate(sentiment = ifelse(compound >= 0.05, "positive",
ifelse(compound <= -0.05, "negative", "neutral"))) %>%
count(sentiment, sort = TRUE) %>%
spread(sentiment, n) %>%
relocate(positive) %>%
mutate(ratio = negative/positive)
vader_ccss_summary## positive negative neutral ratio
## 1 152 174 174 1.144737Not quite as bleak as we might have expected according to VADER! But then again, VADERs bring an entirely different perspective coming from the dark side
In a separate R script file, try using VADER to perform a sentiment analysis of the NGSS tweets and see how they compare. Post your working code in the chunk below.
ngss_sample <- read_csv(here("data", "ngss-tweets.csv")) %>%
sample_n(500)##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## text = col_character(),
## created_at = col_datetime(format = ""),
## author_id = col_double(),
## id = col_double(),
## conversation_id = col_double(),
## source = col_character(),
## possibly_sensitive = col_logical(),
## in_reply_to_user_id = col_double()
## )vader_ngss <- vader_df(ngss_sample$text)
vader_ngss_summary <- vader_ngss %>%
mutate(sentiment = ifelse(compound >= 0.05, "positive",
ifelse(compound <= -0.05,
"negative", "neutral"))) %>%
count(sentiment, sort = TRUE) %>%
spread(sentiment, n) %>%
relocate(positive) %>%
mutate(ratio = negative/positive)
vader_ngss_summary## positive negative neutral ratio
## 1 319 50 131 0.1567398How do our results compare to the CSSS sample of tweets?
- YOUR RESPONSE HERE
5. COMMUNICATE
In this workshop, we focused on the literature guiding our analysis; wrangling our data into a one-token-per-row tidy text format; and using simple word counts and frequencies to compare common words used in tweets about the NGSS and CCSS curriculum standards. Below, add a few notes in response to the following prompts:
One thing I took away from this learning lab:
One thing I want to learn more about:
Congratulations - you’ve completed the first text mining learning lab! To complete your work, you can click the drop down arrow at the top of the file, then select “Knit top HTML.” This will create a report in your Files pane that serves as a record of your code and its output you can open or share.If you wanted, you could save the processed data set to your data folder. The write_csv() function (in combination with using here() to specify the file path) is useful for this. The following code is set to not run, as we wanted to ensure that everyone had the data set needed to begin the second learning lab, but if you’re confident in your prepared data, you can save it with the following:
write_csv()R-each (Optional)
If you’re using data that you brought to the institute or data that you pulled from Twitter, try tidying your data into a tidy text format and examining the top words in your dataset.
If you’d like to use the data we’ve been working with for your reach, let’s take a quick look at bigrams, or tokens consisting of two words.
Bigrams
So far in this lab, we specified tokens as individual words, but many interesting text analyses are based on the relationships between words, which words tend to follow others immediately, or words that tend to co-occur within the same documents.
We can also use the unnest_tokens() function to tokenize our tweets into consecutive sequences of words, called n-grams. By seeing how often word X is followed by word Y, we could then build a model of the relationships between them.
To specify our tokens as bigrams, We do add token = "ngrams" to the unnest_tokens() function and setting n to the number of words in each n-gram. Let’s set n to 2, so we can examine pairs of two consecutive words, often called “bigrams”:
ss_bigrams <- ss_tweets %>%
unnest_tokens(bigram,
text,
token = "ngrams",
n = 2)Before we move any further let’s take a quick look at the most common bigrams in our NGSS tweets:
ss_bigrams %>%
count(bigram, sort = TRUE)## # A tibble: 336,812 x 2
## bigram n
## <chr> <int>
## 1 common core 26667
## 2 https t.co 15375
## 3 core math 8231
## 4 of the 2090
## 5 the common 2055
## 6 in the 1747
## 7 this is 1175
## 8 of common 1127
## 9 to the 1071
## 10 is a 1051
## # … with 336,802 more rowsAs we saw above, a lot of the most common bigrams are pairs of common (uninteresting) words as well. Dealing with these is a little less straightforward and we’ll need to use the separate() function from the tidyr package, which splits a column into multiple based on a delimiter. This lets us separate it into two columns, “word1” and “word2,” at which point we can remove cases where either is a stop-word.
library(tidyr)
bigrams_separated <- ss_bigrams %>%
separate(bigram, c("word1", "word2"), sep = " ")
bigrams_filtered <- bigrams_separated %>%
filter(!word1 %in% stop_words$word) %>%
filter(!word2 %in% stop_words$word)
tidy_bigrams <- bigrams_filtered %>%
unite(bigram, word1, word2, sep = " ")Let’s take a look at our bigram counts now:
tidy_bigrams %>%
count(bigram, sort = TRUE)## # A tibble: 138,336 x 2
## bigram n
## <chr> <int>
## 1 common core 26667
## 2 https t.co 15375
## 3 core math 8231
## 4 ngsschat https 721
## 5 core standards 683
## 6 core https 636
## 7 math https 630
## 8 gt https 598
## 9 ngss https 456
## 10 core education 419
## # … with 138,326 more rowsBetter, but there are still many tokens not especially useful for analysis.
Let’s make a custom custom stop word dictionary for bigrams just like we did for our unigrams. A list is started for you below, but you likely want to expand our list off stop words:
my_words <- c("https", "t.co")Now let’s separate, filter, and unite again:
tidy_bigrams <- bigrams_separated %>%
filter(!word1 %in% stop_words$word) %>%
filter(!word2 %in% stop_words$word) %>%
filter(!word1 %in% my_words) %>%
filter(!word2 %in% my_words) %>%
unite(bigram, word1, word2, sep = " ")Note that since my_words is just a vector of words and not a data frame like stop_words, we do not need to select the word column using the $ operator.
Let’s take another quick count of our bigrams:
tidy_bigrams %>%
count(bigram, sort = TRUE)## # A tibble: 120,047 x 2
## bigram n
## <chr> <int>
## 1 common core 26667
## 2 core math 8231
## 3 core standards 683
## 4 core education 419
## 5 core curriculum 372
## 6 gt gt 266
## 7 grade common 252
## 8 bill gates 250
## 9 grade level 250
## 10 public schools 246
## # … with 120,037 more rowsYour Turn ⤵
Use the code chunk below to group and count our bigrams by each set of state standards:
# YOUR CODE HEREWhat additional insight, if any, did looking at bigrams bring to out analysis?
- YOUR RESPONSE HERE
References
Note: Citations embedded in R Markdown will only show upon knitting.
Krumm, A., Means, B., & Bienkowski, M. (2018). Learning analytics goes to school. Routledge. https://doi.org/10.4324/9781315650722
Rosenberg, J. M., Borchers, C., Dyer, E. B., Anderson, D., & Fischer, C. (2021). Understanding Public Sentiment About Educational Reforms: The Next Generation Science Standards on Twitter. AERA Open, 7, 233285842110242. https://doi.org/10.1177/23328584211024261
Silge, J., & Robinson, D. (2017). Text mining with r: A tidy approach. " O’Reilly Media, Inc.". https://www.tidytextmining.com
Wang, Y., & Fikis, D. J. (2017). Common Core State Standards on Twitter: Public Sentiment and Opinion Leaders. Educational Policy, 33(4), 650–683. https://doi.org/10.1177/0895904817723739