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Nesting and summarizing data is a very common task for data analysis. I thought it would be nice to view parallel ways of nesting and summarizing with both

• R | tidyr and dplyr
• JavaScript | d3.js ...v4 for fun

To avoid context switching, I'll take advantage of the R package V8. If you are an R user, then these d3.js gists might be helpful d3 nest examples and Mister Nester.

ThomasThoren

height: 1000

dwtkns

#!/usr/bin/env osascript -l JavaScript

// usage: google-earth-perspective-to-geojson.js xSamples ySamples > currentPerspective.geojson

function run(argv) {
  var xSamples = argv[0] || 50;
  var ySamples = argv[1] || 50;

  var ge = Application('Google Earth Pro');

paulirish

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

• elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

geobabbler

d3.json(
    "data/statistics.geojson",
    function (json) {
    //dimensions
    var w = 980;
    var h = 480;
    //get the center of the data
    var center = d3.geo.centroid(json);
    var svg = d3.select("body").append("svg")
    .attr("width", w)

Vestride

Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

rodricios

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""

pip install networkx distance pattern 

In Flipboard's article[1], they kindly divulge their interpretation
of the summarization technique called LexRank[2].

emeeks

d3.svg.circularbrush = function() {
	var _extent = [0,Math.PI * 2];
    var _circularbrushDispatch = d3.dispatch('brushstart', 'brushend', 'brush');
	var _arc = d3.svg.arc().innerRadius(50).outerRadius(100);
	var _brushData = [
		{startAngle: _extent[0], endAngle: _extent[1], class: "extent"},
		{startAngle: _extent[0] - .2, endAngle:  _extent[0], class: "resize e"},
		{startAngle: _extent[1], endAngle: _extent[1] + .2, class: "resize w"}
		];
	var _newBrushData = [];

chrishwiggins

FAQ:

where are some fun datasets to play with?

1. CMU:
http://lib.stat.cmu.edu/datasets/

2. UCI:

a) MLR@UCI (machine learning repository / machine learning archive )