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Data integration

GOP Analytics

Dashboard best practices

The One Skill You Really Need

Performance indicators

Tyranny of success: Non profits and metrics

Tracking health

Wearable tech

Damn Excel (amen to that)

Data credibility

Data corruption tricks

Clean data top 10

Here is the study guide for the first midterm exam. Here is also a more detailed version based on notes from class.

NYC Cab Viz

Telling story with Data

Cool infographics Chapter 1 and Chapter 6

In the comments section. Then it’s easier to click and go over.

Session 4.1:

• Chapter 2: Good Graphics? Handbook of Data Visualization (Unwin—-pages 57-77)

Session 4.2:

• Stephen Few on Data Visualization: 8 Core Principles (Hoven)
• Watch out, Terrorists: Big Data is on the Case (Acohido)

• Bias in big data
• In data we trust
• Filter bubble

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.