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Extracted tweets data using tweepy API, fixing quality and tidiness issues. Finally, analyzed the tidy data for insights.

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rohit-yadav/we_rate_dogs

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Wrangle and Analyse Data

We Rate Dogs

Overview

The twitter handle @dog_rates also known as WeRateDogs have over 7 million followers and has received international media coverage. WeRateDogs rate's the dog with a hilarious comment. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10.

More information

The twitter-archive-enhanced.csv twitter archive data of WeRateDogs(@dog_rates) and the prediction_clean.csv was provided by Udacity for wrangling and analyzing it.

Connection to twitter

For getting more information from twitter using tweet_id one can signup for twitter developers account and add there details instead of the word "HIDDEN".

consumer_key = 'HIDDEN'
consumer_secret = 'HIDDEN'
access_token = 'HIDDEN'
access_secret = 'HIDDEN'

Commit message style

  • Docs: For document change/update
  • Gather: For Wrangling process - Reading/Gathering
  • Assess: For Wrangling process - Assess
  • Clean: For wrangling process - Cleaning quality and tidiness issues, may include test codes too
  • Viz: For visualization
  • Refactor: Refactoring existing code
  • Chore: Package manager

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Extracted tweets data using tweepy API, fixing quality and tidiness issues. Finally, analyzed the tidy data for insights.

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