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layout: 2019s_w4995
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# Assignment 3: Exploratory Data Analysis
<br>

In groups of 3-4, identify a dataset of interest and perform exploratory analysis in Tableau to understand the structure of the data, investigate hypotheses, and develop preliminary insights. Prepare a PDF or Google Slides report using [this template outline](https://gist.github.com/agness/2809bd8e7b99b047091998f837736349): include a set of 10 or more visualizations that illustrate your findings, one summary "dashboard" visualization, as well as a write-up of your process and what you learned.

Submit your group's [report url](https://goo.gl/forms/ny9KuRGjuKSTce3x1) and individually, your [peer assessments](https://goo.gl/forms/dnsPtj7Tmx0wVVlU2) for A3 by **Monday 2/19, 11:59pm**.

### Week 1: Data Selection

First, choose a topic of interest to you and find a dataset that can provide insights into that topic. See below for recommended datasets to help you get started.

If working with a self-selected dataset, please check with the course staff to ensure it is appropriate for this assignment. Be advised that data collection and preparation (also known as data wrangling) can be a very tedious and time-consuming process. Be sure you have sufficient time to conduct exploratory analysis, after preparing the data.

After selecting a topic and dataset – but prior to analysis – you should write down an initial set of at least three questions you'd like to investigate.<commit_msg>a3 new group req<commit_after>---
layout: 2019s_w4995
---

# Assignment 3: Exploratory Data Analysis
<br>

In new* groups of 3-4, identify a dataset of interest and perform exploratory analysis in Tableau to understand the structure of the data, investigate hypotheses, and develop preliminary insights. Prepare a PDF or Google Slides report using [this template outline](https://gist.github.com/agness/2809bd8e7b99b047091998f837736349): include a set of 10 or more visualizations that illustrate your findings, one summary "dashboard" visualization, as well as a write-up of your process and what you learned.

* New groups: at least 33% of group members must not have been in your A2 group.

Submit your group's [report url](https://goo.gl/forms/ny9KuRGjuKSTce3x1) and individually, your [peer assessments](https://goo.gl/forms/dnsPtj7Tmx0wVVlU2) for A3 by **Monday 2/19, 11:59pm**.

### Week 1: Data Selection

First, choose a topic of interest to you and find a dataset that can provide insights into that topic. See below for recommended datasets to help you get started.

If working with a self-selected dataset, please check with the course staff to ensure it is appropriate for this assignment. Be advised that data collection and preparation (also known as data wrangling) can be a very tedious and time-consuming process. Be sure you have sufficient time to conduct exploratory analysis, after preparing the data.

After selecting a topic and dataset – but prior to analysis – you should write down an initial set of at least three questions you'd like to investigate.
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