Project 1

Contents

Overview

The goal of Project 1 is for you to demonstrate your ability to analyze a dataset and tell an interesting, evidence-based story about it. You will perform exploratory analysis on a dataset, establish some interesting questions about the data, use data analysis techniques to answer those questions, and communicate the results in a coherent narrative.

Datasets

Below are the datasets you have to choose from; however, only one student may use a dataset. To claim a dataset, let me know your order of preference for all of the datasets. Datasets will be assigned first come first serve.

• movies (ratings, tags)
• commutes in cities in the US
• Kickstarter project data
• Hillary Clinton's email
• AirBnB data
• online retail
• occupancy data
• activities of daily living
• employment data
• crime data

You will only be given a subset of the dataset for reasons that will become apparent in Project 2.

Project constraints

Your project will be evaluated on the following criteria:

• You've asked and answered five interesting questions about the data using data analysis techniques (or extensions of them) that we covered in class or the readings
• You tell an interesting and compelling story about the dataset using the results of your analyses
• All processing steps are contained within the submitted Jupyter notebook and are well documented; I must be able to reproduce your steps

What constitutes "interesting" is subjective. In general, consider it something that is non-obvious, unexpected, or not previously well supported. We considered interesting and uninteresting questions/analyses in class, so think back to that.

See the rubric on the submission page for a break down of how these constraints will be graded.

Submissions

See this Canvas page to submit and see the rubric.