Class 07 March 14 2016:

Project Proposals

For the next week, in and out of class, we are working on midterm prototypes. We have FIVE weeks before final projects are due. We will review key challenges in class.

Scheduled Presentations:

• ★ Mar 14: June and Andrew ★
• Mar 21: Kimi and Jiani ⬅ changed
• Apr 4: Jessie and Patric
• Apr 11: Ryan and Navi

Schedule online (opt-in) Makeup class, proposed dates:

• Friday, March 18th
• Tuesday, March 22nd
• Friday, March 25th

Presentations from June and Andrew

• June: Selfie City
• Andrew:

What we have right now

• Small data sets (~400 tweets) for specific hashtags for experimentation.
• Ability to run sentiment analysis on those tweets (up to 100,000) using monkeylearn.
• Python scripts to run up to 1000 google Vision queries ($5 each addn 1000)

What we want (additional)

• Google Image Search (Lia & Lorenzo)
• Time sampled twitter feed (n tweets every hour / day) (Andrew)
• Tracing the tweets of particular tweeter or group of tweeters. (Erica, Patrick)
• Image Palette Extraction using PIL, Vibrant, or Color Thief

sign up for 1:1 check in about challenges. Max of 10, 15 minute sessions.

PS-07: Work on your prototype (midterm project review, due 2 weeks)

• Submit a link to me with some progress by Monday Morning.
• We will briefly look at each item online.
• Indicate if you want formal feedback, or have specific questions.
• Short (30 min?) discussion so we can continue work.

Work in class challenges.

We will be working in class on our projects. You should have identified your greatest challenges, and should have a concrete list.

Your challenges can be PDF, Text, or a web page. After answering the questions, you prepare another revision of your design, addressing any concerns raised in class.

1. Identify next steps in your project. Enumerate and prioritize what you need to complete your project. The biggest challenges and unknowns should be put at the top of the list.
2. For each challenge spend 5-10 minutes thinking of a plan-b. Would you be able to rework your project? What would it look like with these change?
3. For each challenge, can you identify someone in class, or a close friend outside of class who might be able to help?
4. For each challenge, spend up to one hour doing initial research. Does the problem look solvable? What are the biggest 'pieces' of the problem? Write down the online resources available to solve this problem.

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Questions to consider:

• What kind of data are you exploring?
  • Where do you get it?
  • What dimensions does it have?
  • Is some data missing?
• Framing:
  • Over what time period?
  • Categorized by what?
  • Sorted by what?
  • Compared to what?
  • Where / who?
  • How much data do you have or care to work with?
  • Can we 'dig in' to find out more?
  • Can this visualization be personalized or customized?