buschbirk / jupyter_example

Two entries in the Codeacademy Pro Intensive course on data analysis

Two examples of data analysis using Jupyter Notebooks and Python

Both of these projects are entries in the Codeacademy Pro Intensive course on data analysis.

They are both examples of simple data analysis and visualization using Python Pandas and Matplotlib.

Project 1: FoodWheel

This project explores customer data from a fictional food delivery startup. It examines the different types of food offered, order quantities over time and total customer spending.

Examples of content:

• Matplotlib pie-chart with auto-percentage labels
• Matplotlib bar-chart with error bars displaying standard deviation
• Matplotlib histogram

The analysis (Jupyter Notebook)

Project 2: MuscleHub

This project uses Pandas, Matplotlib, Scipy and SQL to explore fictional data from an A/B test performed by a gym with the purpose of gaining more purchasing customers.

Examples of content:

• SQL queries using Pandas and SQLite
• Matplotlib pie and bar charts
• Statistical tests using Scipy
• A PDF presentation of the findings

The analysis (Jupyter Notebook)

A presentation of the results (PDF)