Assignment 4 - Introduction to Tableau - (100 points)
Due Date: 3/30/2016 at 11:59pm
Objectives:
- Familiarize yourself with Tableau
- Experiment with various built-in visualization techniques
- Explore a data set using visualization techniques
Create a spreadsheet and import it to Tableau
Download the cars data and import it into Tableau. Experiment with a couple of built-in visualizations and see which visualizations seem to work better than others. Think about the properties of the dataset when choosing a visualization. Consider referring to the following tutorials and resources:
- Getting started with Tableau Desktop - A quickstart 5-page document
- A list of many short tutorials for visual analysis, formatting, and calculations - Official Tableau software tutorials
Visualization-directed inquiry (40 points)
To answer the following questions, import the cars data into Tableau. Remember to create a Tableau workbook and save it. For each of the following questions, please take a screenshot of the visualization and post an image on your blog. Remember to include a link to the Tableau workbook on your blog as well.
- Which car has the highest city mpg?
- Is there a correlation between a cars highway mpg and its weight?
- Which car has six cylinders and still has a highway mpg that is above 30?
- Which is the most expensive 5-seater car?
- Is there a relationship between a cars horsepower and its weight? If so, what is it?
- Name any other interesting correlations that you find through interacting with the data.
Explore another dataset - 60 points
- Pick two other dataset - Any data from the Dataset Archive would be acceptable. If you are using some other dataset, please check with me first. (30 points per dataset exploration).
- Import the data into Tableau and explore it.
- Post at least three visualizations on your blog in a separate post discussing your data, its attributes (variables), the questions you were able to answer using visualizations in Tableau.
Submitting the Assignment
Email me a link to your blog post as your submission. In addition to the visualizations, include a small README style description on your blog at the end of your post contains your thoughts about the assignment.