jkeirstead
/ data.csv
Last active Mar 11, 2018
Draw waterfall charts in R. See post at http://www.jameskeirstead.ca/blog/waterfall-plots-in-r
View data.csv
| category | value | sector | |
|---|---|---|---|
| UK production emissions | 632 | UK | |
| Carbon flows from EU | 88 | EU | |
| Carbon flows to EU | -61 | EU | |
| Carbon flows from other Annex 1 | 82 | Annex 1 | |
| Carbon flows to other Annex 1 | -39 | Annex 1 | |
| Carbon flows from non-Annex 1 | 104 | Other non-Annex 1 | |
| Carbon flows from non-Annex 1 | 64 | China | |
| Carbon flows to non-Annex 1 | -25 | Non-Annex 1 | |
| UK consumption emissions | 845 | UK |
atestu
/ top-players-2013.py
Created Jan 25, 2014
Using nfldb to get the top players in the NFL in 2013
View top-players-2013.py
| import nfldb | |
| import json | |
| from pprint import pprint | |
| db = nfldb.connect() | |
| q = nfldb.Query(db) | |
| q.game(season_year=2013).player() | |
| print json.dumps(map(lambda pp: { |
View hack.sh
| #!/usr/bin/env sh | |
| ## | |
| # This is script with usefull tips taken from: | |
| # https://github.com/mathiasbynens/dotfiles/blob/master/.osx | |
| # | |
| # install it: | |
| # curl -sL https://raw.github.com/gist/2108403/hack.sh | sh | |
| # |