Wrangle & Analyze Data

This project was completed as part of the course requirements of Udacity's Data Analyst Nanodegree certification.

Overview

The project used data from the WeRateDogs Twitter account. The data was assessed, cleaned, analyzed and visualized to create insight into their account followers.

The Project Involved:

• Gathering data using a variety of file types and gathering methods (manual download, programmatic download, api access)
• Assessing data for quality and tidiness
• Cleaning, analysis and visualization.

Tech Used

• Jupyter Notebook
• SQLite3 (Optional, however very useful for querying)
• Pandas (very robust library for data analysis)
• Numpy (library for scientific computing)
• Matplotlib (library for robust plotting visualizations)
• Seaborn (statistical data visualization)
• Datetime (Datatime library for python)
• Json (Minimal, readable format for structuring data)
• OS (Provides function for interacting with the operating system)
• Requests (Library used to handle HTTP requests)
• String (Library used to handle string datatypes)
• Tweepy (The library used to interact with the Twitter API)