Comparison Areas

Overview

Comparison data are usually regional or national averages of your indicators which you would like to display in your dashboard.

You can add comparison areas via your feature layer or CSV files. Please note that you are not able to add new comparison areas with a CSV file once you have already added one or more through your feature layer (and vice versa).

Adding comparison areas via the feature layer

  • Add an additional row to your feature layer for each comparison area you want to display in your dashboard. You will probably have to do this in your source data before you make it a feature layer.  It is easy to add additional rows to a shapefile using ArcGIS desktop.
  • The additional rows should not have any geometry associated with them.
  • For each additional row populate it with the relevant comparison data in each data field.
  • In your ID field give it an ID beginning with ‘#’, e.g. #US. This tells InstantAtlas to treat it as comparison data. Note if you don’t have a suitable ID column you will need to create one.
  • Fill in your name field with a relevant description for your comparison area.

 

comparison
Example of a feature layer with one additional row added for US comparison data

In the data manager you will need to make sure you switch the ID field from the default of ‘FID’ to the ID field that holds your #.

How to set up comparison areas in CSV

The first two columns of the CSV are where you set the IDs and Names for the comparison areas. In a CSV file,

  1. define a header for the first column. You can set the header to be identical to the feature service field you use as the dashboard Feature ID (set in the Data Manager). Dashboard Builder will use this common field to create a link between the feature service and the CSV. CSV Feature ID field header
  1. Copy all records of the Feature ID field from the feature service table to the first column of the CSV. Here the feature service only contains 3 features, their feature ids are ‘EH11’, ‘EH12’ and ‘EH13’.CSV feature ID field with geography features
  1. Specify the comparison area IDs in the first column below the feature service feature IDs. The IDs must be given a prefix of ‘#’ (e.g. #001 or #UK) to distinguish them from the feature service features. Here there are two comparison areas: the City of Edinburgh and Scotland with ‘#Edinburgh’ and ‘#Scotland’ as their IDs.CSV feature ID field with comparison areas
  1. Now specify the header of the second column. The header name can be identical to the feature service field you use as the dashboard Feature Name (set in the Data Manager).CSV feature name field header
  1. Add the names of the comparison areas on the second column. Note you do not need to specify the names for the features from the feature service in the CSV as Dashboard Builder will take the information from the feature service itself.CSV feature name field with comparison areas
  1. Once you have set up the first two columns, you can then add the indicators starting from the third column. Note that each indicator set in Dashboard Builder can only retrieve information from one data source, e.g. it is not possible for an indicator ‘Population 2015’ to retrieve field data from a feature service for your geography features and then retrieve field data from a CSV file for your comparison areas. Therefore the indicator values for all geography features must be included in conjunction with the values for comparison areas.CSV indicators for geography features and comparison areas
  1. Once you have finished with setting up all the data for the comparison areas in the CSV file, please refer to the CSV Data section of the Dashboard Builder help pages to link the the CSV file to the dashboard. You will be able to display indicator values for comparison areas in a range of widgets.

Note you can combine CSV files which contain comparison areas with ones which do not contain any comparison areas. However, any CSV files that do contain comparison areas must contain the exact same comparison areas. Even if you do not have data for all of them you still have to add them and leave the data cells blank.