1. Create a git repo for your visualize yourself project
2. Make an entry in our visualize yourself tracker (linked at the top of the module page)

Visualize Yourself: Factor model

Please create a factor model with your core outcome variable and your theory about its primary influencing factors. Compose this by hand, with a pen, or in software. Upload the image to your repository on git. Use markdown to describe the image and embed it in your markdown script. Remember , make the file called readme.md.

Internet Encyclopedic Source Quality

Create a sharable directory

Create a spreadsheet to compute index values for wikipedia and non-wikipedia sources
Choose three underlying measures of quality, with accompanying documentation such that we can assess test-retest reliability across testers.
Devise a sampling mechanism in which you assess the quality of at least 6 topics on both wikipedia.org AND the next highest quality available encyclopedic source. Meaning: You should find some third party to choose your sampled topics.
Create a directory in our shared drive linked below and upload your findings. Please record the actual URL of both wikipedia and non-wikipedia sources used so they can be retested. Use first names only on files.

Prepare a final, fully-baked version of a figure showing change in your chosen indexes during the end of the cold war. Include a beefy title, source attribution, well-formatted lines, and a caption discussing what changes are visible.

Make a good faith effort at using pivot tables/charts to investigate some or all of the Hazelwood inquiry questions.

Submission

Upload screen shots of your pivot tables and use markdown to document the figures. Push to your github account. Then post a link in our tracker.

1. Firm up your visualization of self project topic, inquiry question, and factor model. Zero in on a measurable, compelling outcome variable of interest to you.
2. Study and attempt an example or two from one of the python libraries in the visualization Triumvirate linked below
3. Illustrate your hypothesis about the relationship between one independent variable and your outcome variable by creating mock data that conveys the shape and intensity (slope) of your chosen bivariate relationship. Prepare to share in small groups next week.

What is a rug plot useful for? Tufte p. 135

Please continue gathering data for your personal data project and the data-for-good mini project.

Prep prelim proj report

Please prepare to share in about 5-10 minutes a preliminary set of findings--or at least a beefy update--of your visualization of self project for next week. This requirement is designed to encourage you to allocate some substantial time to your project BEFORE the final moments of the term. This in the hope you'll have some revision ideas to extract from your peers next week.

Design "Tufte-approved" graphic

Made a good-faith effort to either design digitally or sketch one or more key graphics conveying the relationship between your variables of interest. Be prepared to comment on which Tufte principles you used in your design.