Willy Tadema FrieseWoudloper

## index.html
<!DOCTYPE html>
<script src="https://d3js.org/d3.v4.min.js"></script>
<div class="graph"></div>
<script>
    var width = 700, height = 400;
    var svg = d3.select(".graph").append("svg")
                                 .attr("viewBox", "0 0 " + (width) + " " + (height))
                                 .style("max-width", "700px");
    var url = "https://geodata.nationaalgeoregister.nl/cbsgebiedsindelingen/wfs?service=wfs&request=GetFeature&typeName=cbs_arrondissementsgebied_2019_gegeneraliseerd&outputFormat=json&srsName=EPSG:4326";
    d3.json(url, function(error, mapdata) {

## index.html
<!DOCTYPE html>
<head>
    <style>
        path {
            fill: #ccc;
            stroke: #fff;
            stroke-width: .5px;
        }
        path:hover {
            fill: orange;

## arrondissementen.json

      
              2 files
            
          
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                FrieseWoudloper
                / arrondissementen.json
            
            
              Last active
              September 14, 2019 14:23
            
              
                test met arrondissementen
              
          
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## index.html
<!DOCTYPE html>
<head>
    <meta charset="utf-8">
    <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
    <style>

    </style>
</head>
<body>
<script type='text/javascript'>

## index.html
<!DOCTYPE html>
<head>
    <meta charset="utf-8">
    <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
    <style>
        svg {
            border: 1px solid red;
            width: 600px;
            height: 400px;
        }

## README.md

      
              6 files
            
          
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                FrieseWoudloper
                / README.md
            
            
              Created
              September 14, 2019 14:02
                — forked from michellechandra/README.md
            
              
                Basic US State Map - D3
              
          
    My first D3 map showing my travel across the US. This visualization was built by modifying choropleth example code by Scott Murray, tooltip example code by Malcolm Maclean, and legend code example by Mike Bostock.

  
## index.html
<!DOCTYPE html>
<head>
    <style>
        path {
            fill: #ccc;
            stroke: #fff;
            stroke-width: .5px;
        }
        path:hover {
            fill: orange;

## index.html
<!DOCTYPE html>
<head>
    <style>
        path {
            fill: #ccc;
            stroke: #fff;
            stroke-width: .5px;
        }
        path:hover {
            fill: orange;

## api-request-omdb.py
# Import package
import requests

# Assign URL to variable: url
url = 'http://www.omdbapi.com/?apikey=72bc447a&t=social+network'

# Package the request, send the request and catch the response: r
r = requests.get(url)

# Decode the JSON data into a dictionary: json_data

## download-csv.py
# Import package
from urllib.request import urlretrieve

# Import pandas
import pandas as pd

# Assign url of file: url
url = 'https://s3.amazonaws.com/assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'

# Save file locally
	<!DOCTYPE html>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<div class="graph"></div>
	<script>
	var width = 700, height = 400;
	var svg = d3.select(".graph").append("svg")
	.attr("viewBox", "0 0 " + (width) + " " + (height))
	.style("max-width", "700px");
	var url = "https://geodata.nationaalgeoregister.nl/cbsgebiedsindelingen/wfs?service=wfs&request=GetFeature&typeName=cbs_arrondissementsgebied_2019_gegeneraliseerd&outputFormat=json&srsName=EPSG:4326";
	d3.json(url, function(error, mapdata) {
	<!DOCTYPE html>
	<head>
	<style>
	path {
	fill: #ccc;
	stroke: #fff;
	stroke-width: .5px;
	}
	path:hover {
	fill: orange;
	<!DOCTYPE html>
	<head>
	<meta charset="utf-8">
	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
	<style>

	</style>
	</head>
	<body>
	<script type='text/javascript'>
	# Import package
	import requests

	# Assign URL to variable: url
	url = 'http://www.omdbapi.com/?apikey=72bc447a&t=social+network'

	# Package the request, send the request and catch the response: r
	r = requests.get(url)

	# Decode the JSON data into a dictionary: json_data
	# Import package
	from urllib.request import urlretrieve

	# Import pandas
	import pandas as pd

	# Assign url of file: url
	url = 'https://s3.amazonaws.com/assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'

	# Save file locally