https://github.com/mgautam98/weratedogs-analysis

Wrangled the data from multiple sources, including scrapping, APIs. Assessed and cleansed data for the quality and tidiness issues. Presentation Included.
https://github.com/mgautam98/weratedogs-analysis

data-analytics data-science pandas

Last synced: 1 day ago
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Wrangled the data from multiple sources, including scrapping, APIs. Assessed and cleansed data for the quality and tidiness issues. Presentation Included.

• Host: GitHub
• URL: https://github.com/mgautam98/weratedogs-analysis
• Owner: mgautam98
• Created: 2020-05-04T00:47:30.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-05-04T00:53:39.000Z (over 4 years ago)
• Last Synced: 2023-07-31T06:24:46.015Z (about 1 year ago)
• Topics: data-analytics, data-science, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 994 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# WeRateDogs Analysis

WeRateDogs is a Twitter account that rates people’s dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because “they’re good dogs Brent.” WeRateDogs has over 4 million followers and has received international media coverage.

In this project, I have wrangled the data from multiple sources and assessed them for the quality and tideness issues and cleanded the data for achieving great visualizations. I will share many insights into the WeRateDogs today. So, stay tuned.

Here, is an example of how WeRateDogs rate the good dogs.