| After editing .gitignore to match the ignored files, you can do git ls-files -ci --exclude-standard to see the files that are included in the exclude lists; you can then do git ls-files -ci --exclude-standard -z | xargs -0 git rm --cached to remove them from the repository (without deleting them from disk). | |
| Edit: You can also add this as an alias in your .gitconfig file so you can run it anytime you like. Just add the following line under the [alias] section: | |
| apply-gitignore = !git ls-files -ci --exclude-standard -z | xargs -0r git rm --cached | |
| (The -r flag in xargs prevents git rm from running on an empty result and printing out its usage message.) | |
| Now you can just type git apply-gitignore in your repo, and it'll do the work for you! |
| # Needs `, results='asis'` and two spaces before the trailing newline | |
| ```{r occupations_by_vismin.R, echo=TRUE, message=FALSE, warning=FALSE, results='asis'} | |
| for(thing in list_of_things){ | |
| cat("\n###", thing, "\n") | |
| cat(" \n") | |
| } | |
| ``` |
| { | |
| "name": "npm builder", | |
| "version": "1.0.0", | |
| "description": "A basic npm build pipeline.", | |
| "main": "index.html", | |
| "author": "", | |
| "license": "ISC", | |
| "dependencies": { | |
| "bourbon": "4.3.4", | |
| "bourbon-neat": "2.0.0", |
| #! /usr/bin/env python | |
| import json | |
| import time | |
| import shelve | |
| import urllib | |
| import urllib.request | |
| DB = 'flights' | |
| API = "http://www.flightradar24.com/zones/full_all.json" |
| doInstall <- TRUE # Change to FALSE if you don't want packages installed. | |
| toInstall <- c("sna", "ggplot2", "Hmisc", "reshape2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| # Empty ggplot2 theme | |
| new_theme_empty <- theme_bw() | |
| new_theme_empty$line <- element_blank() | |
| new_theme_empty$rect <- element_blank() | |
| new_theme_empty$strip.text <- element_blank() |
| library(tidyverse) | |
| # data from https://www.kaggle.com/bls/american-time-use-survey | |
| df.resp <- read_csv('../data/atus/atusresp.csv') | |
| df.act <- read_csv('../data/atus/atusact.csv', col_types=cols(tustarttim = col_character(), tustoptime = col_character())) | |
| df.sum <- read_csv('../data/atus/atussum.csv') | |
| df.tmp <- df.act %>% | |
| mutate(activity = case_when(trtier2p == 1301 ~ 'Exercise', |
| heroku config:set NODEMODULESCACHE=false | |
| git commit -am 'rebuild' --allow-empty | |
| git push heroku master | |
| heroku config:unset NODEMODULESCACHE |
| // @file signup.jade | |
| // @path /templates/views/user/signup.jade | |
| // @description Form that user sees when signing up. | |
| // | |
| extends ../../layouts/default | |
| block intro | |
| .container | |
| h1= 'Sign up for Little B.O.M' |
Reusable slopegraph inspired/adapted from Ben Van Dyke's example into a reusable chart.
This slopegraph example shows the number of personal computers installed in a country per household. This includes desktop PCs and laptops, but excludes smartphones and terminals connected to mainframe computers. All figures are calculated using total number of Personal Computers and the Total Number of Households.
| license: mit | |
| scrolling: true | |
| height: 300 |