Data Wrangling With Python

#WeRateDogs Datasets data wrangling and Analysis

Overview

Data Wrangling with Python.

Install

A pdf and html version of the Analysis are available.
If you want to run the codes, you need to install the following libraries. I would recommend using pip to do so:

• Jupyter notebook
• Pandas
• Numpy
• Matplotlib
• Seaborn
• Request
• Tweepy
• json

Important Files

• wrangle_act.ipynb. this jupyper notebook file hold all the codes and steps taken in the data wrangling and analysis.
• wrangle_report.pdf : in this document, all the steps taken in the data wrangling process are explained in details.
• act_report contains the insights from the analyis.
• twitter-archive-enhanced.csv
• All the other files will be generated while making the analysis.

References and Citations

• All references used are specified in the files.