This page describes how to filter data in a data set for relevant information.

First steps

Before you get started filtering, you may want to do the following things first.
  1. Create a user account on the data portal You will need to do this to save a view or a map.
  2. Find a relevant data set

Create a filter

Once you have located an interesting data set, you can filter the data set for the items related to your interests.

The 311 data includes information about a variety of report types. Since twice as many bats live in Austin as people, this example will examine bat-related calls to 311. This tutorial uses this version of Austin's 311 reports from 2014.

First, filter the data. Filtering the data displays only items relevant to the filter. This will show filtering for bat complaints.

Click on the blue "Filter" button. This will bring up a pane that shows filtering options.

At the bottom of the pane, there's an option to bring up a filter.

The pane gives you options on how to filter the data.

Your next step is to select which column or field you want to filter on. Click the link. To filter for bat issues, change to "SR Description." Please know that each data set will have different column names. For example, you could also filter by date or any other column in a data set.

The "is" operator requires you to filter by the exact terms used to categorize an item. Changing the operator to "contains" allows you to be less precise.

Because this filter uses "contains," a filter by "bat" will filter for items related to bats. If the filter used "is," it would have to use the exact term "Bat Complaints."

Now, this view only shows data related to bat complaints.

This has created a "view" of the 311 data set. If you would like to come back to this filtered view or share it with others you can save it or download it in a format such as CSV.

Next steps

Now that you've created a map, you may want to: