This project wrangled, analyzed and visualized the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a twitter account that rates people's dogs with a humorous comment. The output are two files storing clean data.
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Install Jupyter Notebook to run
wrangle_act.ipynb
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Need consumer_key, consumer_secret, access_token, access_secret to query from Twitter API.
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Require the following libraries installed.
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numpy
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pandas
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requests
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json
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matplotlib.pyplot
act_report
: Communicates the insights and displays the Visualizations produced from the wrangled data.image_prediction.tsv
: Data downloaded using Requests library and URL.tweet_json.txt
: Data gathered from twitter API.twitter-archive-enhanced.csv
: File downloaded from Udacity.twitter_archive_master.csv
: The clean DataFrame 1.twitter_image_predictions.csv
: The clean DataFrame 2.wrangle_act.ipynb
: The main file containing all the gathering, wrangling and analyzing work.wrangle_report
: Briefly describes my wrangling efforts.
- Gather data from file on hand
- Download file using Requests library and URL
- Gather data from twitter API using Python's Tweepy library and store data
- Visualization
- Insight
- Twitter API
- Files downloaded from Udacity