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@mengwong
mengwong / numberHeaders
Last active December 31, 2023 15:52
number headers in Google Docs
// PROBLEM: in Google Documents, sometimes you want numbered headings, but the UI makes you a new list each time.
// INSIGHT: it's possible, but you have to script it.
// SOLUTION: this script adds OL+LI to Hs, all using the same listID
// DOWNLOAD: get the latest version of this gist from https://gist.github.com/mengwong/f597d064366f555b5f4e
// INSTALL: Go to Tools / Editor. Paste this in. Hit save. You can run it by pressing the "play" button, or from the Add-Ons menu.
//
// USAGE:
// REQUIRED: Define all your headings as actual headings and not just big bold Normal. Come on, people, learn to use paragraph styles already.
// OPTIONAL: Manually make the first H1 in the document a numbered list. We'll use that as a reference heading for all the others.
// OPTIONAL: Manually set the list style to "Decimal Outline" (the style that has 1.1.2 type numbering) ... I like this best.

Playing with adding + operator for easily joining geojson objects together into a single valid geojson object. This is relatively easy with lists, but not so easy with json unless you speak json.

Get lawn package too for viewing data

devtools::install_github("ropensci/geojsonio")
@aammd
aammd / character_data.R
Last active August 29, 2015 14:08
This function, based on `rvest`, extracts the Gender, Species, Affilation and Rank for a Star Trek character from the [Star Trek Wiki](http://en.memory-alpha.org/wiki/Portal:Main)
library(rvest)
library(magrittr)
library(tidyr)
library(dplyr)
library(stringr)
character_data <- function(chname){
paste0("http://en.memory-alpha.org/wiki/", chname) %>%
html %>%
html_nodes(".wiki-sidebar") %>%
// XPath CheatSheet
// To test XPath in your Chrome Debugger: $x('/html/body')
// http://www.jittuu.com/2012/2/14/Testing-XPath-In-Chrome/
// 0. XPath Examples.
// More: http://xpath.alephzarro.com/content/cheatsheet.html
'//hr[@class="edge" and position()=1]' // every first hr of 'edge' class
@leeper
leeper / update_github.R
Last active February 2, 2021 22:56
Update packages if a newer version is available from GitHub
library('devtools')
library('utils')
library('httr')
update_github <-
function(ask = TRUE, ...){
installed <- installed.packages()
oldVersion <- installed[,'Version']
urls <- sapply(names(oldVersion), function(x){
d <- packageDescription(x)
@debasishg
debasishg / gist:8172796
Last active April 20, 2025 12:45
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t
@jfreels
jfreels / README.md
Last active December 25, 2015 02:59
R + Shiny + d3js: Blank template.
@hadley
hadley / .gitignore
Last active February 25, 2024 02:10
Benchmark different ways of reading a file
.Rproj.user
.Rhistory
.RData
*.Rproj
*.html
@braintreeps
braintreeps / map.R
Created February 21, 2013 16:48
This is the R code to go along with the blog post "Mapping 35 Million Credit Cards On Top of Census Data With R".
library(data.table);
library(maps);
library(maptools);
library(spatstat);
library(zipcode);
library(GISTools)
#load the zipcode dataset
data(zipcode);
Data sources:
CDC data on vaccine coverage: http://www.cdc.gov/flu/professionals/vaccination/reporti1112/reporti/index.htm
CDC data on current influenza situation: http://gis.cdc.gov/grasp/fluview/fluportaldashboard.html
Historical flu data: http://www.cdc.gov/flu/weekly/pastreports.htm
Locations of hospitals in Boston: https://data.cityofboston.gov/Public-Health/Hospital-Locations/46f7-2snz
NetLogo, a simple agent based model: http://ccl.northwestern.edu/netlogo/
Nemsis, emergency medical services API (haven't used this one myself): http://www.nemsis.org/v3/downloads/v3Archive.html
Written for R, but useful for epi basics in any language: cran.r-project.org/doc/contrib/Epicalc_Book.pdf
"Provides access to health statistics and information on hospital inpatient and emergency department utilization": http://hcupnet.ahrq.gov/
Healthcare Research and Quality data directory: http://www.ahrq.gov/data/dataresources.htm