Twitter Data Wrangling

For the Jupyter Notebook that runs this project (HTML format) click this link:

Twitter Data Wangling

Technologies utilized are Python, Pandas, and a variety of plotting packages. The target was @dog_rates. Tweepy (Python library) was used to access the twitter API and receive JSON data. I also had access to a machine learning file that classified pictures of dogs (.tsv), which was downloaded via Python’s request library. This project includes data gathering, cleaning, storing, and analyzing the results. I was most interested in what this population of users likes in terms of breeds and how their ratings of those breeds have changed over time.

If this interests you please contact me. This project was done as part of my course work at Udacity (www.udacity.com) for the Data Analyst Nano Degree (DAND).

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