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TATR: Graphing Twitter Data

Introduction 

This recipe is part of the Text Analysis for Twitter Research (TATR) series and describes how to begin plotting basic graphs using Twitter data.

Ingredients 
Steps 
  • Open a new Jupyter Notebook and import the following libraries:
    • NLTK
    • PANDAS
    • NUMPY
    • MATPLOTLIB
  • Import Twitter data
    • Index the Tweets by date to make them more readable
  • Write a graphing function that:
    • Plots one column of the data
    • Plots different columns and compares them against each other over time
  • Plot the graphs and save the resulting visualizations
Discussion 

The TATR library was presented as an academic poster in 2018’s Congress held in Regina, SK. For a PDF version of the full poster, please visit:

Next steps / further information 

Certain aspects of this recipe draw upon code from the companion TATR notebooks and recipes. In particular, please see:

TATR: Panda Dataframe Manipulation

This recipe describes components that are fundamental for some of the more advanced TATR notebooks.

Status 
Active
Intermediate
Natural Language Processing
Social Media Analysis
Text Gathering
Visualization
Submitted by Jason on Tue, 05/01/2018 - 16:52