jstray

Senior Scientist @ UC Berkeley Center for Human-compatible AI

Columbia UniversityNew York

Pinned Repositories

cjworkbench
The data journalism platform with built in training
Language:Python303 20 4845
compjournalism2018
Materials for Frontiers of Computational Journalism, Columbia Journalism School 2018
Language:Jupyter Notebook11 2 04
ddj-course
Step by step exercises to teach data journalism students the basics of HTML, CSS, Javascript, D3
Language:HTML01
deepform
Using ML to extract campaign finance data from messy forms for journalism
Language:Python75 5 321
lede-algorithms
Algorithms course materials for the Lede program at Columbia Journalism School
Language:Jupyter Notebook190 21 047
media-attention
Analysis of the relationship between media mentions and standing in the polls for the 2016 primary election.
Language:Jupyter Notebook8 2 01
risk-ratios
Workbook to teach the concept of risk ratios for data journalism applications
Language:Jupyter Notebook32 1 018
shape-of-randomness
What randomness looks like. Example data sets and R scripts to demonstrate basic statistical principles.
Language:R12 2 00
uklords-vote-clustering
A clustering analysis and visualization of the voting blocs in the UK House of Lords
Language:R6 2 00
overview-server
Open source large document set visualization platform
Language:Scala269 21 68837

jstray/lede-algorithms
Algorithms course materials for the Lede program at Columbia Journalism School
Language:Jupyter Notebook190 21 047
jstray/deepform
Using ML to extract campaign finance data from messy forms for journalism
Language:Python75 5 321
jstray/risk-ratios
Workbook to teach the concept of risk ratios for data journalism applications
Language:Jupyter Notebook32 1 018
jstray/shape-of-randomness
What randomness looks like. Example data sets and R scripts to demonstrate basic statistical principles.
Language:R12 2 00
jstray/compjournalism2018
Materials for Frontiers of Computational Journalism, Columbia Journalism School 2018
Language:Jupyter Notebook11 2 04
jstray/media-attention
Analysis of the relationship between media mentions and standing in the polls for the 2016 primary election.
Language:Jupyter Notebook8 2 01
jstray/uklords-vote-clustering
A clustering analysis and visualization of the voting blocs in the UK House of Lords
Language:R6 2 00
jstray/twitter-tools
Tweet capture and graph analysis tools
Language:Python3 2 02
jstray/ddj-course
Step by step exercises to teach data journalism students the basics of HTML, CSS, Javascript, D3
Language:HTML01
jstray/cjw-filter
Module for CJ Workbench that filters rows greater/less than a certain value
Language:Python1
jstray/navigator
Art software
Language:JavaScript2 0
jstray/permutation-test
Simple data analysis assignment, using a permutation test in R.
Language:R