Wrangle and Analyze Twitter Data

Used data munging techniques to gather, assess and clean the twitter data of WeRateDogs account.
Full project can be found in the following Jupyter Notebook ---> wrangle_act.ipynb
One report was created to describe the wrangling part of the project ---> wrangle_report.pdf
...and another one to communicate the findings to a non-techical audience ---> act_report.pdf
Used Python (pandas, Requests, Tweepy, seaborn)

This project is part of the Data Analyst Nanodegree Program by Udacity.

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
README.md		README.md
act_report.pdf		act_report.pdf
image-predictions.tsv		image-predictions.tsv
image_predictions_clean.csv		image_predictions_clean.csv
tweet_json.txt		tweet_json.txt
tweet_json_clean.csv		tweet_json_clean.csv
twitter-archive-enhanced.csv		twitter-archive-enhanced.csv
twitter_archive_clean.csv		twitter_archive_clean.csv
twitter_archive_master.csv		twitter_archive_master.csv
wrangle_act.ipynb		wrangle_act.ipynb
wrangle_report.pdf		wrangle_report.pdf

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