/Wrangle-and-Analyze-Twitter-Data-EDA

This project focused on wrangling data from the WeRateDogs Twitter account using Python, documented in a Jupyter Notebook (wrangle_act.ipynb). This Twitter account rates dogs with humorous commentary. The rating denominator is usually 10, however, the numerators are usually greater than 10. They’re Good Dogs Brent wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. WeRateDogs has over 4 million followers and has received international media coverage.

Primary LanguageHTMLMIT LicenseMIT

Wrangle-and-Analyze-Twitter-Data

Project of Data Analyst Nanodegree Program on Udacity

Introduction

Real-world data rarely come clean. Using Python and its libraries, we have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, then cleaned it.

Project Details

Data wrangling, which consists of:
   Gathering data
   Assessing data
   Cleaning data

Storing, analyzing, and visualizing your wrangled data

Reporting on 1) Data wrangling efforts and 
             2) Data analyses and visualizations