Alan Mar devwolf75

## FortyOneShades.cs
using System;

namespace FortyOneShades
{
	class Program
	{
		static int[] values = new int[]{
			0x276AD9,
			0x3E6FD9,
			0x3A6FDE,

## authentication.js
var app = angular.module('admin', ['ng-admin']),
    hook = new Hook.Client({...});

var headerNav, pageWrapper, restangular;

if (hook.auth.currentUser && hook.auth.currentUser.role != 'admin') {
  hook.auth.logout();
}

function hideMenu() {

## app.ts
import {Component} from 'angular2/core';
import Modal from './modal';

@Component({
  selector: 'ngc-app',
  template: `
<div class="p3">
  <p class="p4">
    <button class="btn btn-primary block col-6 mx-auto"
      (click)="showModal()">

## README.md

      
              4 files
            
          
              1 fork
            
          
              0 comments
            
          
              1 star
            
          
                jensgrubert
                / README.md
            
            
              Last active
              April 18, 2017 18:39
                — forked from mbostock/.block
            
              
                Histogram and Kernel density estimation
              
          
    Kernel density estimation is a method of estimating the probability distribution of a random variable based on a random sample. In contrast to a histogram, kernel density estimation produces a smooth estimate. The smoothness can be tuned via the kernel’s bandwidth parameter. With the correct choice of bandwidth, important features of the distribution can be seen, while an incorrect choice results in undersmoothing or oversmoothing and obscured features.
This example shows a histogram and a kernel density estimation for times between eruptions of Old Faithful Geyser in Yellowstone National Park, taken from R’s faithful dataset. The data follow a bimodal distribution; short eruptions are followed by a wait time averaging about 55 minutes, and long eruptions by a wa

  
## .block
license: gpl-3.0

## README.md

      
              4 files
            
          
              0 forks
            
          
              0 comments
            
          
              1 star
            
          
                plablo09
                / README.md
            
            
              Last active
              July 5, 2017 09:30
            
              
                Cartograma simple
              
          
    Cartograma Simple

Aquí puedes ver la implementación más sencilla de un cartograma en d3.js. Lo único que hace el script es crear un mapa base y actualizar los polígonos de acuerdo al valor de una variable escalada

  
## .block
license: gpl-3.0

## colores.js
// colores usados por Google en sus graficos, trends, etc.
//
function colores_google(n) {
  var colores_g = ["#3366cc", "#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477", "#66aa00", "#b82e2e", "#316395", "#994499", "#22aa99", "#aaaa11", "#6633cc", "#e67300", "#8b0707", "#651067", "#329262", "#5574a6", "#3b3eac"];
  return colores_g[n % colores_g.length];
}
//
//

var c10 = d3.scale.category10();

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font-family: sans-serif;
  color: #000;
  text-rendering: optimizeLegibility;
}

## index.html
<!DOCTYPE html>
<head>
        <meta charset="utf-8">
        <script src="https://d3js.org/d3.v4.min.js"></script>
</head>
<body>
        <div id="block"></div>
        <script>

                // dimensions
	using System;

	namespace FortyOneShades
	{
	class Program
	{
	static int[] values = new int[]{
	0x276AD9,
	0x3E6FD9,
	0x3A6FDE,
	var app = angular.module('admin', ['ng-admin']),
	hook = new Hook.Client({...});

	var headerNav, pageWrapper, restangular;

	if (hook.auth.currentUser && hook.auth.currentUser.role != 'admin') {
	hook.auth.logout();
	}

	function hideMenu() {
	import {Component} from 'angular2/core';
	import Modal from './modal';

	@Component({
	selector: 'ngc-app',
	template: `
	<div class="p3">
	<p class="p4">
	<button class="btn btn-primary block col-6 mx-auto"
	(click)="showModal()">
	// colores usados por Google en sus graficos, trends, etc.
	//
	function colores_google(n) {
	var colores_g = ["#3366cc", "#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477", "#66aa00", "#b82e2e", "#316395", "#994499", "#22aa99", "#aaaa11", "#6633cc", "#e67300", "#8b0707", "#651067", "#329262", "#5574a6", "#3b3eac"];
	return colores_g[n % colores_g.length];
	}
	//
	//

	var c10 = d3.scale.category10();
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	body {
	font-family: sans-serif;
	color: #000;
	text-rendering: optimizeLegibility;
	}
	<!DOCTYPE html>
	<head>
	<meta charset="utf-8">
	<script src="https://d3js.org/d3.v4.min.js"></script>
	</head>
	<body>
	<div id="block"></div>
	<script>

	// dimensions