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https://github.com/lmizner/codecademy_foodwheel

Testing Matplotlib data visualization skills with these challenge projects
https://github.com/lmizner/codecademy_foodwheel

bar-chart group-by histogram jupyter-notebook matplotlib-pyplot mean pandas pie-chart python standard-deviation

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Testing Matplotlib data visualization skills with these challenge projects

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README

        

# codecademy_foodwheel

## Board Slides for FoodWheel

### Overview
This project is slightly different than others you have encountered thus far on Codecademy. Instead of a step-by-step tutorial, this project contains a series of open-ended requirements which describe the project you’ll be building. There are many possible ways to fulfill all of these requirements correctly, and you should expect to use the internet, Codecademy, and other resources when you encounter a problem that you cannot easily solve.

### Project Goals
Great job! You’ve passed your Data Analyst interview for FoodWheel!

FoodWheel is a startup delivery service that takes away the struggle of deciding where to eat.

FoodWheel picks you an amazing local restaurant and lets you order through the app. Senior leadership is getting ready for a big board meeting, and as the resident Data Analyst, you have been enlisted to help decipher data and create a presentation to answer several key questions:

* What cuisines does FoodWheel offer? Which areas should the company search for more restaurants to partner with?
* How has the average order amount changed over time? What does this say about the trajectory of the company?
* How much has each customer on FoodWheel spent over the past six months? What can this tell us about the average FoodWheel customer?
* Over this project, you will analyze several DataFrames and create several visualizations to help answer these questions.

Use your pandas and matplotlib skills to analyze and visualize the FoodWheel dataset.