Project Announcements

(Milestones and Deadlines)

• Milestone 0: PITCH APPROVED
  - Does the pitch/hypothesis need refinement?
• Milestone 1: DATASETS NAILED DOWN, METHODOLOGY DEFINED AND BACKGROUND RESEARCH HAS BEGUN
  If you're building a dataset in Milestone 1 you've started collecting the data, ,you've decided on the variables, you probably have some rows of data already.
• Milestone 2: REPORTING IS WELL UNDERWAY, STRUCTURE OF THE STORY IS STARTING TO FORM
  OCT 30: Outline Due
• Milestone 3: REPORTING IS DONE, PRIMARY DATA ANALYSIS IS DONE (it doesn't have to be pretty, but you need to have arrived at some conclusions)
  Nov 20: First Draft Due
• Milestone 4: READER-FACING ASSETS ARE DONE
  Dec 6: Project Presentation
• Milestone 5: FINAL EDITS
  Dec 11: Final Draft Due

Important Dates
 

• OCT 30
  Outline Due
   
• Nov 20
  First Draft Due
   
• Dec 6
  Project Presentations
   
• Dec 11 - Final Draft Due

Homework Announcements

Reminder: Don't forget to respond to ⛔️, ❓and 🤯

Your response can be a rewrite of that section or a reflection or discussion in the comment to demonstrate that you understand thoroughly what the issue was and how to prevent it from happening again.

Feedback Status

• [ x ] Diagnostic Assignment Feedback
• [ x ] Reverse engineer a story
• [ x ] pre-pitch brainstorm
• [ x ] selected pitches
  
  in progress
• [  ] Data Assignment 2 feedback
• [  ] Pitch Feedback (for pitches that were not selected)
• [  ] OSINT/FOIA Feedback 

Exploratory Data Viz

(visualizing data for yourself)

A quick polly about your exploratory data visualization homework...

1977

slide credit: Nikhil Garg https://orie5355.github.io/Fall_2021/static_files/lectures/Lecture2_WhatIsData.pdf

slide credit: Nikhil Garg https://orie5355.github.io/Fall_2021/static_files/lectures/Lecture2_WhatIsData.pdf

Acquiring Data

- What is this data?

- What does this data measure?

- What constructs will it help me understand?

- Is there other data that might measure something else but help me get at the same constructs I'm interested in analyzing. 

- Are there other datasets I can merge with this one?

Acquiring Data

Understanding the Data

- how was it put together?

- what is each row?

- what is each column?

- what kinds of unique values are in each column?

- what are the caveats?

Acquiring Data

Understanding Data

Cleaning Data

⚠️ if you make any methodological choices when cleaning the data, explore the implications of each choice you made - each choice will follow you all the way to whatever conclusions you draw.

Acquiring Data
Understanding Data

Cleaning Data

Summarizing Data

- How is the data distributed?

- What are the ranges (max/min)

- What are the central tendencies?

- Sanity checks: what do I expect to see? Do I see that?

Acquiring Data
Understanding Data

Cleaning Data

Summarizing Data
Interviewing Data

Asking targeted questions:
Imagine your data is a source, what questions do you have of it?

Acquiring Data
Understanding Data

Summarizing Data
Interviewing Data
Contextualizing The Answers

Data Visualization

(visualizing data for the reader)

Pair Programming Data Vis

source: https://medium.com/@volkanbier_42259/how-to-put-pair-programming-into-action-ce9ebb9d711

Assignment

https://docs.google.com/document/d/1LOxwnIPcHS2d1Y5AUkSX6DFladbHZ8kCcXNUKWWkTjg

Some People Are Too Superstitious To Have A Baby On Friday The 13th