laurenancona

This example shows how it is possible to use a D3 sunburst visualization (partition layout) with data that describes sequences of events.

A good use case is to summarize navigation paths through a web site, as in the sample synthetic data file (visit_sequences.csv). The visualization makes it easy to understand visits that start directly on a product page (e.g. after landing there from a search engine), compared to visits where users arrive on the site's home page and navigate from there. Where a funnel lets you understand a single pre-selected path, this allows you to see all possible paths.

Features:

• works with data that is in a CSV format (you don't need to pre-generate a hierarchical JSON file, unless your data file is very large)
• interactive breadcrumb trail helps to emphasize the sequence, so that it is easy for a first-time user to understand what they are seeing
• percentages are shown explicitly, to help overcome the distortion of the data that occurs wh

laurenancona

#Load dependencies
library(XML)
library(httr)

# Sheet needs to be published, replace URL below & update tab number on line 19
# (if more than 1, L-R) where 'sheet = 1'
# Be sure to unfreeze any cells to prevent empty rows on import

url <- "https://docs.google.com/spreadsheets/d/XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/pubhtml"

marcosnils

#!/bin/bash

set -e

SLACK_WEBHOOK_URL=                                                                                                                        
DEFAULT_EMOJI=:slack:
CHANNEL=${1:-#general}
AUTHOR="Some user"

tmate -S /tmp/tmate.sock new-session -d && tmate -S /tmp/tmate.sock wait tmate-ready

domenic

Auto-deploying built products to gh-pages with GitHub Actions

This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.

A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:

• It is much easier and requires less steps, because you are already authenticated with GitHub, so you don't need to share secret keys across services like you do when coordinate Travis CI and GitHub.
• It is free, with no quotas.
• Anecdotally, builds are much faster with GitHub Actions than with Travis CI, especially in terms of time spent waiting for a builder.

config.json

{
  "vars": {
    "@gray-base": "#000",
    "@gray-darker": "lighten(@gray-base, 13.5%)",
    "@gray-dark": "lighten(@gray-base, 20%)",
    "@gray": "lighten(@gray-base, 33.5%)",
    "@gray-light": "lighten(@gray-base, 46.7%)",
    "@gray-lighter": "lighten(@gray-base, 93.5%)",
    "@brand-primary": "darken(#428bca, 6.5%)",
    "@brand-success": "#5cb85c",

kosamari

_.mixin({
  sum : function(data){
    return  _.reduce(data, function(memo, num){ return memo + num; }, 0);
  },
  mean : function(data){
  return this.sum(data)/data.length
  },
  median : function(data){
  return this.percentile(data,50);
  },

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

larrybotha

Export multiple Adobe Illustrator artboards to png, jpg, pdf

This is a reference to Matthew Ericson's article Export Illustrator Layers and/or Artboards as PNGs and PDFs in case something happens to happen to the article, and if I just forget where to find the exporter online.

Usage

• Drop MultiExporter.js into /Applications/Adobe\ Illustrator\ CS6/Presets.localized/en_GB/Scripts
• Restart Illustrator

jaygooby

If you import live data into Google Docs spreadsheets using the importdata function and you want to force a refresh at a certain interval, but you also want to ensure that some cache-busting goes on, append a querystring that's the epoch time value that the refresh occurs, so for a sheet that should grab new data every hour you could force an update like this:

importData("http://example.com/data.csv?" & hour(googleclock()) & ")")

But the url requested looks like this: http://example.com/data.csv?11 if the refresh happened at 11am. The next day at 11, the url will be the same, so there's a chance you may get cached data. To get around this, use an epoch time-based refresh. The formula:

=((date(year(googleclock()),month(googleclock()),day(googleclock())) & " " & time(hour(googleclock()), 0, 0)) - DATE( 1970;1;1))*86400

gives you the epoch timestamp for the time at the current hour. If you wanted the timest

namuol

rage-quit support for bash

HOW TO INSTALL

Put flip somewhere in your $PATH and chmod a+x it.

Copy fuck into ~/.bashrc.