This hexbin map shows the proximity of earthquakes (magnitude 3.0 or greater) in the Canterbury region of New Zealand during the month of September, 2010.
The map is created using Leaflet. The hexbin layer is a custom Leaflet layer which uses d3js to generate a svg hexbin overlay. The source for the custom leaflet layer is viewable here.
Earthquake data sourced from GeoNet.
| var stringify = function(obj, prop) { | |
| var placeholder = '____PLACEHOLDER____'; | |
| var fns = []; | |
| var json = JSON.stringify(obj, function(key, value) { | |
| if (typeof value === 'function') { | |
| fns.push(value); | |
| return placeholder; | |
| } | |
| return value; | |
| }, 2); |
This is a d3 map using topojson files derived from shapefiles from the datameet/maps repo.
Many thanks to authors of these awesome code samples.
| {"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err |
I moved the inclusion of the theme url outside of renderChart2, directly into ui.R. The reason for this is that afterScript is only included in the static template for charts. The shiny version only outputs the chart related HTML and currently does not include the contents of afterScript. You could consider this a bug in the implementation of rCharts and I hope to fix it in future versions.
| # Editor backup files | |
| *.bak | |
| *~ |
| {"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Large Multiples</title> | |
| <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script> | |
| <style> | |
| rect { | |
| fill: #ddd; | |
| stroke: none; | |
| } |
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
