jeantil

--
-- le code ci-dessous a a été fortement amélioré par un effor collaboratif sur
-- https://github.com/jeantil/admission_post_bac
-- Pull requests, issues et contributions wiki sont les bienvenues.
-- Une partie du code a été rétro analysé a partir de diverses sources cf https://github.com/jeantil/admission_post_bac/wiki
-- 

FUNCTION gen class alea V1 relatif grp(
  o_g_ea_cod_ins IN VARCHAR2,
  o_g_ti_cod IN NUMBER,

pvictor

# BB-8 --------------------------------------------------------------------

# Inspired by Brian Hough in http://codepen.io/bhough/pen/wawrPL



# Packages ----------------------------------------------------------------

library("dplyr")
library("ggplot2")

briatte

library(dplyr)
library(httr)
library(rvest)
library(stringr)

dir.create("data" , showWarnings = FALSE)
dir.create("raw"  , showWarnings = FALSE)
dir.create("docs" , showWarnings = FALSE)

for (i in c(2015:1990)) {

dannguyen

An example in Bash of how to use Wikipedia's newly-announced Pageviews API and pass it into Google's hopefully-eternally-functioning Static Charts API. The result is a a quick time-series chart that visualizes 120 days of pageviews for any given Wikipedia page. Shout-out to the awesome jq command-line JSON tool.

The charts are crudely labeled...with a little more work you could turn it into a more interesting comparison chart (i.e. a grouped bar chart). But for now, here's what the last 120 days of page visits look like for Donald Trump and Hillary Clinton

(I've manually edite

jeroen

# Find all CRAN package with FORTRAN code
packages <- c()
base_url <- 'https://api.github.com/search/repositories?q=user:cran%20language:fortran'
for(page in 1:100){
  url <- paste0(base_url, "&page=", page)
  cat("Reading", url, "\n")
  repos <- jsonlite::fromJSON(url)
  if(!length(repos$items)) 
    break
  packages <- c(packages, repos$items$name)

uupaa

Image source

https://gyazo.com/eb5c5741b6a9a16c692170a41a49c858.png

Try resize it!

• ![](https://gyazo.com/eb5c5741b6a9a16c692170a41a49c858.png | width=100)

cquest

# récupération des données sur https://www.referidf.com/
mkdir kml -f
for p in {1..4}; do
  for m in "meuble" "non-meuble"; do
    for d in "inf1946" "1946-1970" "1971-1990" "sup1990"; do
      curl -q "https://www.referidf.com/kml/drihl_medianes_$p%5f$d%5f$m.kml?t=20150327" > kml/drihl_$p_$d_$m.kml
    done
  done
done

dashed

/*! normalize.css v2.1.3 | MIT License | git.io/normalize */

/* ==========================================================================
   HTML5 display definitions
   ========================================================================== */

/**
 * Correct `block` display not defined in IE 8/9.
 */