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TATR: Panda and CSV of Tweets

Introduction 

This recipe is part of the Text Analysis for Twitter Research (TATR) series. The recipe will show how to load and save a CSV (comma-separated values) file into a Panda data structure.

Ingredients 
Steps 
  • Open a new Jupyter Notebook and import the following libraries:
    • PANDAS
    • NUMPY
  • Create a Panda dataframe
  • Import your Twitter data into the following 4 columns:
    • Index
    • Date
    • Retweet_Count
    • Text
  • Write a function that reads the dataframe and converts it into a CSV
  • Write a function that reads the saved dataframe and loads the CSV back in
  • Display the results
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 

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

Status 
Active
Intermediate
Construct
Natural Language Processing
Social Media Analysis
Text Gathering
Submitted by Jason on Tue, 05/01/2018 - 16:56