May 3
9:00 Formatting Lecture
Quickly review how to format your Tableau worksheets, dashboards, and workbooks. See the link here: goo.gl/P5iqgV
9:30 Guest Speaker: Data in Motion
Matthew Pickus will present on the features to consider when designing for a target audience. Matthew is a Business Intelligence Analyst at University of Michigan's Information Quest
10:30 Continue Formatting Lecture
Learn about how to format your Tableau worksheets, dashboards, and workbooks. See the link here: goo.gl/P5iqgV
Learn on your own: Format navigation options
To learn more about formatting, explore here: tutorialspoint.com/tableau/tableau_formatting.htm
11:00 Lecture: Info Vis 101
Based on feedback from the surveys yesterday, will will go over some Information Visualization 101 tips. Click here to see the presentation and handouts:
- Presentation: goo.gl/YWDvWy
- Open-ended data exploration: goo.gl/FHPTK0
- Handout of what chart to pick: blog.hubspot.com/marketing/data-visualization-choosing-chart#sm.0001at9qxdimbe2tu4l28xaq9dkqr
- Workflow diagram of: goo.gl/rVspgc
Learn on your own: Visualization Hierarchy resources
If you have more questions about visual hierarchy, or just want a reminder, feel free to review the following resources:
Also, read the following resources:
12:00 Lunch
Get lunch on your own. Be back by 1:00.
1:00 Overview of Lab III and Intro to the sketch exercise
After lunch, we will have a brief overview of lab III and an introduction to sketch design.
We will discuss chart types again, and how to choose the right chart.
Materials:
After the presentation, you can continue to work on your workbooks.
We will discuss chart types again, and how to choose the right chart.
Materials:
- We gathered a folder of resources for charts: goo.gl/2ZdJFy
- Lab III: "Tell a Data Story" Handout: goo.gl/b106J9
- Sketch Design Worksheet (include brief guidelines): https://goo.gl/l4sxHS
- Sketch Design Guideline for groups: detailed version for groups : https://goo.gl/HDuyng
After the presentation, you can continue to work on your workbooks.
This website supports the University of Michigan School of Information 2017 bootcamp Tableau for Data Visualization.
Content on this site is used for educational purposes only.
Content on this site is used for educational purposes only.