Wrangle and Analyze Data

The dataset that I will be wrangling (and analyzing and visualizing) is 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 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.

This project is the fourth project of the Data Analyst Nanodegree Program of Udacity.

Installation

To run this report first you need to install the following libraries.

Use the package manager pip to install the following packages.

pip install numpy
pip install pandas
pip install matplotlib
pip install seaborn
pip install statsmodels
pip install requests
pip install tweepy
pip install sqlite3
pip install json

Another option is to install Anaconda and some of this packages are already installed.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

This project is under the license MIT.