By Tash
The dataset has commonly used tweets about dogs. This is categorised by dog breed and gender.
You will need an installation of Python plus the following libraries:
- pandas
- NumPy
- requests
- tweepy
- json
- A text editor, like VS Code or Atom.
- A terminal application (Terminal on Mac and Linux or Cygwin on Windows).
- Git for windows - for terminal application using Git Bash
- Python using Anaconda (latest version for windows)
- Visual Studio Code Editor (for windows)
- Jupyter Notebooks
Based on the findings: Charlie is the most common dog name with Charlie 12
Followed by:
- Oliver (11)
- Lucy (11)
- Cooper (11)
- Lola (10)
- Tucker (10)
The whole report can be summarized into the following 2 files which are present in this repository:
- For getting a brief of the Data Wrangling process, check wrangle_report.html
- For visualizations and important insights, check act_report.pdf