Data Wrangling on WeRateDogs

by Shakhawat Hassan

Summary of Findings

There are more favorite tweets than counts of a retweet on WeRateDogs. This means people are favoriting a picture of a dog than they are retweeting that tweet. Top names are A(unrecorded name), Charlie, Penny, Lucy, and Tucker. The stage of Pupper has the highest number of dogs among all other stages.

Tools Used for this Project

• Packages: Anaconda, Conda
• Libraries: Pandas, NumPy, Matplotlb, Seaborn
• API: Tweeter API or Tweepy
• Web Application: Jupyter Notebook
• Programming Language: Python 3

Web Scraping

Tweeter's API Terms

[Query Twitter API for each tweet in the Twitter archive and save JSON in a text file. These are hidden to comply with Twitter's API terms and conditions] consumer_key = 'HIDDEN'

consumer_secret = 'HIDDEN'

access_token = 'HIDDEN'

access_secret = 'HIDDEN'

auth = OAuthHandler(consumer_key, consumer_secret)

auth.set_access_token(access_token, access_secret)

api = tweepy.API(auth)*

Sources

Datasets: twitter.com/dog_rates

Image: twitter.com/dog_rates/status/1262895960432181249/photo/1