Data Vis for Journalists Fall 2016, Lab 2
The objective of this lab is to learn about the various types of visualizations offered in Tableau, from bar chart to gantt chart to word bubble.
There are many ways to describe data visually. The author of the visualization tries to convey a point of view by emphasizing some aspects of the data while toning down other aspects. The result can vary widely, from informative to confusing to misleading.
Schedule: Out: Sep 20 2016. Updated: Sep 24. Due: Sep 27 2016, 9am
- Both parts of this assignment are to be done in groups of two; you may choose partners yourselves.
- Work through the Superstore workbook using the sample dataset in Tableau.
- Start with Tab 0 The Sprawl
- Continue with Tab 1, Measure Values
- Continue with Tab 2, Blending Axes
- Finish with Tab 3, Dual Axes
- Do Connected Scatterplot assignment, following the instructions in the PDF file
- Start a new Tableau workbook
- Connect the
Canadian housing price index US minimum wage data source to your workbook
- Create the first view
- Make the connected scatterplot
- Put the views together into a dashboard
- Write a short reflection on how the different visual encodings
that you constructed in this assignment and that you worked through
in the demos emphasize and downplay different aspects of the
underlying dataset (max 500 words). (Updated Sep 24!)
- Submit both completed workbooks, and also the reflection document in PDF format. Send by email to tmm AT cs.ubc.ca and caitlin AT discoursemedia.org by 9am Sept 27, with subject "JOURN Week 2".
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Last modified: Tue Sep 27 08:05:41 PDT 2016