date | topic | url |
---|---|---|
2021-01-11 | issue titles | https://twitter.com/jimhester_/status/1348742632491646976 |
2021-01-13 | new features | https://twitter.com/jimhester_/status/1349369619891564544 |
2021-01-15 | writing too much | https://twitter.com/jimhester_/status/1350076918520045568 |
2021-01-19 | imitation in PRs | https://twitter.com/jimhester_/status/1351533870261399555 |
2021-01-20 | issues crop | https://twitter.com/jimhester_/status/1351930803656257544 |
2021-01-25 | community sites | https://twitter.com/jimhester_/status/1353749482425491456 |
2021-01-29 | second contributions | https://twitter.com/jimhester_/status/1355195248612356099 |
2021-02-01 | robot pedantry | https://twitter.com/jimhester_/status/1356272709345419264 |
View index.html
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8" /> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no" /> | |
<title>Wordle - A daily word game</title> | |
<meta name="description" content="Guess the hidden word in 6 tries. A new puzzle is available each day."> | |
<!-- FB Meta Tags --> |
View tweets.md
View ugliest-ggplot-theme.R
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library(ggplot2) | |
# sample data for plot ---- | |
points <- | |
data.frame( | |
x = rep(1:10,3), | |
y = rep(1:10,3), | |
z = sort(rep(letters[1:2], 15)), | |
w = rep(letters[3:4], 15) | |
) | |
# ggplot using many theme options ---- |
View cran-check.R
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# started with `foghorn`, but that comes with dependencies and | |
# slows down R startup. `browseURL` just barely slows startup, | |
# even if actual page is slow to load. | |
check_cran_old <- function(email) { | |
utils::browseURL( | |
sprintf( | |
"https://cran.r-project.org/web/checks/check_results_%s.html", | |
gsub("[^A-Za-z0-9_:.-]", "_", sub("@", "_at_", email)) | |
) ) } |
View shy-sort.html
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<!doctype html> | |
<!-- This is just a very slightly modified tracking.js demo: https://trackingjs.com/examples/face_camera.html --> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/tracking.js/1.1.3/tracking-min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/tracking.js/1.1.3/data/face-min.js"></script> | |
<style> | |
video, canvas { | |
margin-left: 100px; |
View sotu.R
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needs(rvest, tidyverse, zoo) | |
df <- c('minutes', 'words') %>% | |
map(function(var) { | |
doc <- var %>% | |
sprintf(fmt = 'http://www.presidency.ucsb.edu/sou_%s.php') %>% | |
read_html() | |
doc %>% | |
html_node('table tr:nth-of-type(2) table') %>% | |
html_table(fill = T) %>% |
View R_datasets.md
- Eurostat, World Bank and others: https://ikashnitsky.github.io/2017/data-acquisition-two/
- Star Wars data: in dplyr, http://dplyr.tidyverse.org/reference/starwars.html
- Baby names data: babynames package, https://cran.r-project.org/web/packages/babynames/index.html
- Movies data: https://cran.r-project.org/web/packages/ggplot2movies/index.html ggplot2movies package
- Game of Thrones screen time: https://github.com/Preetish/GoT_screen_time
- Open Bike Data: https://github.com/ropensci/bikedata
- Tons of data through 538: https://cran.r-project.org/web/packages/fivethirtyeight/vignettes/fivethirtyeight.html
- Public health data England: fingertipsR, https://cran.r-project.org/web/packages/fingertipsR/
- Financial data via Quandl: https://www.quandl.com/tools/r
- Cyclones: https://github.com/ropensci/rrricanesdat
View index.html
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<html xmlns="http://www.w3.org/1999/xhtml"> | |
<head> | |
<link rel="stylesheet" type="text/css" href="excel-2000.css"/> | |
<link rel="stylesheet" type="text/css" href="excel-xp.css"/> | |
<link rel="stylesheet" type="text/css" href="excel-2003.css"/> | |
<link rel="stylesheet" type="text/css" href="excel-2007.css"/> | |
<script lang="javascript"> |
View example.md
Using
Using <details>
in GitHub
Suppose you're opening an issue and there's a lot noisey logs that may be useful.
Rather than wrecking readability, wrap it in a <details>
tag!
<details>
Summary Goes Here
View docker-cleanup-resources.md
Docker - How to cleanup (unused) resources
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
delete volumes
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
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