Quantitative Edit

Laura Bronner

@laurabronner

Senior Applied Scientist @ETH Zürich

Formerly, Quantitative Editor @FiveThirtyEight

Laura's guide to quant edits:

http://www.laurabronner.com/quant-editing

(i.e. questions I may ask you to answer if they're not clear from your data diary)

Data Diary

What is a data diary?
 

• Original data as it was collected

• Documentation (codebook, etc.)

• Instructions to reproduce the analysis

  • If you manually worked in excel/google sheets, and it's not obvious by looking at the sheet how you got from the original data to what you have in the article, you'll need to write a short explanation to help me re-implement your analysis

  • code is a set of instructions. If you worked in code, just make sure to add comments to help me navigate it.

Can I reproduce your work with these instructions?

Submitting Project for CE/QE

https://docs.google.com/document/d/1RTDlvwEaNPGhXWDbhJEvs0nKSex9WJ81rBBVlKEMvCo/edit

Announcements

• First and Last Assignment
  • First Assignment: Assignment 1 - CA Gov
  • Last Assignment: Assignment 4 - Finalized Chart
     
• Project Deliverables 
  • Dataset Forms ✏️ | Interview Forms ✏️
  • [Part 3]
    • Draft (Sunday 10/24) | Edits (Thursday 10/28)
       
• Reminder - we're winding down, everything must be DONE...at the very latest by end of the month. Emojis must have responses or rewrites (⛔️, ❓, 🤯)
  • Assignment 3 exempt

Project Timeline

• Upcoming Project Deliverables [Part 3]
  • 10/24 Draft Due @ Midnight
  • 10/28 Edits Due

DRAFT DUE

EDITS DUE

Assignment 4

1. Review the Rubric
2. Improve the chart and re-submit

(see note in Courseworks)
 

Note: I would prefer you submit these separately if you can. Particularly if you're not sure of your ability to do this in DataWrapper on your own. Feel free to come to office hours if you need.

If you do submit one per team, please make sure you've actually worked together and both teammates understand (1) what needed improvement and (2) are able to make a chart like this in DataWrapper.

Examples

• Headline
• Subheadline
• Visual Hierarchy
• Axis Labels
• Sources/Citations
• Footnotes
• Annotations
   

Know your data | Know your point | Know your audience

Examples

• Headline
• Subheadline
• Visual Hierarchy
• Axis Labels
• Sources/Citations
• Footnotes
• Annotations

Know your data | Know your point | Know your audience