Data Wrangling and Analysis

Introduction

The objective of this project is to wrangle WeRateDogs Twitter data to create interesting analyses and visualizations. Using Python and its libraries, I have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, and then cleaned it under the data wrangling process.

Technologies Used

• Python libraries: pandas, numpy, matplotlib, seaborn, json, os, requests, tweepy

Summary

Data Wrangling Report contains a description of the data wrangling steps.

Data Analysis Report communicates the insights and displays the visualizations produced from the wrangled data.