This is the map of Nielen Designated Marketing Areas using D3.js. Hover over for data related to each area.
See map here
###Credits
Some of these files are from the us-atlas:
make topo/us-10m.jsonmake topo/us-congress-10m.jsonOthers are from the world-atlas:
make topo/world-50m.jsonmake topo/world-110m.json
These county, state and country boundaries are extracted from a single TopoJSON file. Counties are stroked in thin gray, states in thin black, and the country in thick black.
| {"type":"MultiPolygon","coordinates":[[[[-155.59,20.14],[-155.58,20.13],[-155.57,20.13],[-155.56,20.14],[-155.55,20.14],[-155.53,20.14],[-155.49,20.11],[-155.45,20.11],[-155.34,20.06],[-155.21,20],[-155.17,19.97],[-155.09,19.88],[-155.08,19.87],[-155.08,19.84],[-155.08,19.77],[-155.07,19.74],[-155.06,19.74],[-155.02,19.75],[-154.99,19.74],[-154.98,19.73],[-154.98,19.72],[-154.97,19.67],[-154.96,19.65],[-154.92,19.61],[-154.87,19.59],[-154.79,19.54],[-154.8,19.52],[-154.81,19.5],[-154.82,19.48],[-154.83,19.46],[-154.91,19.42],[-154.92,19.41],[-155.01,19.33],[-155.02,19.33],[-155.05,19.32],[-155.07,19.32],[-155.1,19.3],[-155.17,19.28],[-155.19,19.28],[-155.27,19.28],[-155.29,19.27],[-155.3,19.27],[-155.32,19.25],[-155.35,19.22],[-155.37,19.22],[-155.38,19.21],[-155.4,19.2],[-155.42,19.18],[-155.44,19.17],[-155.49,19.14],[-155.5,19.14],[-155.55,19.1],[-155.55,19.08],[-155.57,19.03],[-155.61,18.97],[-155.63,18.96],[-155.64,18.95],[-155.66,18.93],[-155.67,18.93],[-155.67,18.94],[-155.69,18.96],[-155.71,18.99],[-15 |
Some of these files are from the us-atlas:
make topo/us-10m.jsonmake topo/us-congress-10m.jsonOthers are from the world-atlas:
make topo/world-50m.jsonmake topo/world-110m.json
| date | close | |
|---|---|---|
| 2014-02-07 | 361.08 | |
| 2014-02-06 | 354.59 | |
| 2014-02-05 | 346.45 | |
| 2014-02-04 | 347.95 | |
| 2014-02-03 | 346.15 | |
| 2014-01-31 | 358.69 | |
| 2014-01-30 | 403.01 | |
| 2014-01-29 | 384.2 | |
| 2014-01-28 | 394.43 |
The map shows traffic accidents recorded in Oslo, Norway, for the year 2013.
The Leaflet Markercluster plugin is wonderful. Since the markerclusters are divIcons you can put whatever you want inside them using the iconCreateFunction. I wanted my clusters to reveal more information than just the marker count and figured a pie chart would do the job. So I told the iconCreateFunction to do some D3 magic and this is the result.
The example is a bit more complicated than necessary due to how my dataset is structured. But if you take a look at the defineClusterIcon() function you'll see that I use d3.nest() to build a dataset for the pie chart based on a given property from all the cluster's children. Then I pass this dataset over to the bakeThePie() function together with instructions on how to style the chart. The function returns svg markup which in turn is placed inside the divIcon.
Feel free to suggest improvements.
Click to add new points. Hit the DELETE key to remove the selected point. Use the dropdown menu to change the interpolation mode.
| require 'capybara/poltergeist' | |
| require 'ruby-progressbar' | |
| session = Capybara::Session.new(:poltergeist) | |
| session.visit("https://bank.simple.com/signin") | |
| session.fill_in("username", with: "USERNAME") | |
| session.fill_in("password", with: "PASSWORD") | |
| session.click_on("Sign in") |
The purpose of this map as detailed on Daily Kos is to represent the congressional districts in the United States accurately. Currently it is difficult to show the districts because some such as those in New York City are very small, while others like Montana are the size of an entire state. Previosly the maps needed to be zoomable to see the districts containing cities. Other represntations such as cartograms warped the country's shape. This map attempts to fix that by giving each congressional district equal area i.e. five regular hexagons.
According to the original Daily Kos article, the map was built by Daniel Donner.
I did not design the map. This project's purpose is to port the map to a more useable format. I ported the map t