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Category: Lab 4: Graphing

30MarMarch 30, 2017
By tpeng

I visualized a visualization of data gone by

I picked 2609 tweets from Feb 14 and 15, and my reason for picking was sampling convenience. I just used the tweets that were already downloaded, so t

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Posted in Lab 4: Graphing, Uncategorized 2 Comments
30MarMarch 30, 2017
By Jennifer K. Tran

Building the Connections of the Wall

I selected 3,000 tweets from only the dates February 1st to 2nd, the days closest to when the travel ban on seven dominantly Muslim countries took eff

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Posted in Lab 4: Graphing 2 Comments
29MarMarch 31, 2017
By mkendri2

Graphing #ThisIsNotNormal

I chose the first 3000 tweets I collected since the data set seemed very active at that time and it was toward the beginning of the hashtag's creation

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Posted in Lab 4: Graphing 1 Comment
29Mar
By Naty

#transgender Connections

The group of tweets that I selected ranged from March 21 to March 22, and I selected a full 3,000 tweets. I chose this range because it is the most re

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Posted in Lab 4: Graphing, Uncategorized 2 Comments
27MarMarch 29, 2017
By Taylor Ogan

Graphing #climatechange

I chose to work with the most recent 3,000 tweets on #climatechange because it was so much data, that it kept freezing and was just simply easier.  T

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Posted in Lab 4: Graphing 3 Comments
27MarMarch 31, 2017
By imoritz

Lab 4: Visualizing #Syria Tweet Connections

Part I: Cleaning (Organizing) Data for Visualization I chose the first 3,700 tweets from my dataset.  I have over 130,000 tweets, but this sma

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Posted in Lab 4: Graphing 2 Comments
14AprMay 30, 2018
By gdrigota

Lab 4: Working Twitter Data into Graphs and Stats

After inserting the COUNTIF function, the total number of tweets in English was 52,680. The total number of tweets was 53,564, therefore the percent

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Posted in Lab 4: Graphing 3 Comments

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Data Driven Cultures
American Studies, Trinity College
Prof. Jack Gieseking
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