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Your reading list for KPIs
Your reading list for dirty data, 7.1, 7.2
Study Guide for Exam 1
Here is the study guide for the first midterm exam. Here is also a more detailed version based on notes from class.
Readings for week 5 (infographics 101)
Drop your best and worst visualizations here
In the comments section. Then it’s easier to click and go over.
Readings for Week 4
Session 4.1:
- Chapter 2: Good Graphics? Handbook of Data Visualization (Unwin—-pages 57-77)
Session 4.2:
Your reading list for week 3
Extra credit: Tableau fundamentals with Lynda
Note: This extra credit is due to me via email before class starts Feb. 11.
On your Temple portal, you have access to a service called Lynda. It’s a video training company that LinkedIn bought a few years back and is now part of Microsoft, which acquired LinkedIn.
In either case, we are going to skip around a bit in the training to get you acquainted with it. It’ll will come in handy later. Once you’re in Lynda, you create a quick profile and search for Tableau. There’s a basics course there.
Instructions:
Basically it’s watch 3 of those Tableau videos in that second part (starting with the joining data). Get me a screen shot of the video and 3 bullets about what’s in the video.
The extra credit is 1 point tacked on to your final grade.
Go with:
- Part 2: First 3 videos Connecting to data sources, joining data and related fields.
- Part 3 videos: The first three: Displaying data underneath a workbook, adding…and reordering.
- Part 4 first three videos.
That should get you enough info to digest a bit of part 5 and 6. Those areas will be in the in-class assignment and first assignment.
Open Data Examples
In class we talked about a few examples of open data. Here are some others:
- Business: data.gov’s “Impact” section
- Science: The Genomes Unzipped project
- Government: New York City parking violations
- Journalism: Swarmize