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<%= form_for(@thing) do |f| %>
  <% if @thing.errors.any? %>
    <div id="error_explanation">
      <h2><%= pluralize(@thing.errors.count, "error") %> prohibited this thing from being saved:</h2>

      <ul>
      <% @thing.errors.full_messages.each do |msg| %>
        <li><%= msg %></li>
      <% end %>
      </ul>

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git rm $(git ls-files --deleted)

source

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def multiples_of_x_less_than_y(x, y)
  (1..(y / x)).to_a.map {|z| x * z}
end

(multiples_of_x_less_than_y(3,80) + multiples_of_x_less_than_y(5,80)).uniq.sort.sum

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  #http://colorbrewer2.org/
  COLOR_BREWER_SEQUENTIAL_BLUES = ["#f7fbff","#deebf7","#c6dbef","#9ecae1","#6baed6","#4292c6","#2171b5","#08519c","#08306b"]
  COLOR_BREWER_SEQUENTIAL_GREENS = ["#f7fcf5","#e5f5e0","#c7e9c0","#a1d99b","#74c476","#41ab5d","#238b45","#006d2c","#00441b"]
  COLOR_BREWER_SEQUENTIAL_GREYS = ["#ffffff","#f0f0f0","#d9d9d9","#bdbdbd","#969696","#737373","#525252","#252525","#000000"]
  COLOR_BREWER_SEQUENTIAL_ORANGES = ["#fff5eb","#fee6ce","#fdd0a2","#fdae6b","#fd8d3c","#f16913","#d94801","#a63603","#7f2704"]
  COLOR_BREWER_SEQUENTIAL_PURPLES = ["#fcfbfd","#efedf5","#dadaeb","#bcbddc","#9e9ac8","#807dba","#6a51a3","#54278f","#3f007d"]
  COLOR_BREWER_SEQUENTIAL_REDS = ["#fff5f0","#fee0d2","#fcbba1","#fc9272","#fb6a4a","#ef3b2c","#cb181d","#a50f15","#67000d"]
  COLOR_BREWER_QUALITATIVE_VIBRANTS = ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00","#cab2d6","#6a3d9a","#ffff99"]
  COLOR_BREWER_QUALITATIVE_PASTELS = ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3

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Step 1: Query the metadata

SELECT 
  table_schema
  ,TABLE_NAME
  ,COLUMN_NAME
  ,ordinal_position
  ,is_nullable
  ,data_type

,column_type

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find . -name "*passenger*" -print

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This is the map of Nielen Designated Marketing Areas using D3.js. Hover over for data related to each area.

See map here

###Credits

• Map adapted from Mike Bostock's map example
• Topojson made by converting shapefile from here to topojson via Mike Bostock's instructions
• Nielsen rank and TV data via tvb

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Some of these files are from the us-atlas:

• us.json - make topo/us-10m.json
• us-congress-113.json - make topo/us-congress-10m.json

Others are from the world-atlas:

• world-50m.json - make topo/world-50m.json
• world-110m.json - make topo/world-110m.json

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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.