Feature Highlight: Data Filters
Hello everyone and welcome to this week’s blog. This week we will discuss how to create and utilize filters for your research.
Why Use a Filter?
Filters are a great way to identify target areas that meet multiple conditions.
Use Case
You want to identify areas of San Antonio to market your afterschool program that is aimed towards low income and low educational attainment areas. You can use a data filter to help find the target areas.
Example
First, we will identify the target areas by creating an income filter and mapping the education attainment variable. Let’s get started.
1.Create the project by entering the target location for analysis in the Location field. In this example, the city of San Antonio, TX.
2. Map the variable % Education, College, Masters or Doctorate Degree. This is one of the 3 default data variables available when creating a project.
The darker areas of the map represent highly educated areas whereas the lighter areas reflect areas where a smaller percentage of residents have a college degree.
Next, create the income data filter.
- Select Filtering from the top Right of the interface. This will bring up the filter menu.
- Select a variable to act as a condition, in this example we want the Median Income variable.
- Enter a value for the condition (less than $35,000) and select Apply.
The filter gets applied to your map.
The final map image above reveals Census Tracts that meet our income criteria - looking at the still visible mapped areas provides the user with some ideal locations to market their program to.
That’s it for this week’s report! Stay tuned for more SimplyAnalytics how-tos and tips and send us your questions at support@simplyanalytics.com. If we feature your question in a future blog post, we’ll treat you to a $10 Starbucks gift card!
More from SimplyAnalytics
Posted on Feb 21, 2018 by Admin
We are looking forward to attending our first Electronic Resources & Libraries (ER&L) conference in Austin, TX! Visit us at Table #510 for a closer look at SimplyAnalytics – the b...
Posted on Dec 11, 2015 by Admin
With the final week of the college football season in the books, and bowl game selections having just taken place, we wanted to search within SimplyMap to see if any data pertaining to co...
Posted on Apr 10, 2015 by Admin
In this week’s SimplyMap report, we explore one of the newer datasets available: Retail Market Power®. What is it? In short, the Retail Market Power® dataset helps users identify opportun...
Posted on Feb 23, 2012 by Admin
Geographic Research, Inc. will be exhibiting at the Public Library Association (PLA) Conference. Visit us at Booth 2329 to learn more about SimplyMap and enter our raffle for a new com...
Posted on Apr 01, 2014 by Admin
Another fantastic series of workshops and events are planned at the SLA Conference on June 8-10th, 2014. Register now for networking and workshops throughout the week. Over 200 events are...
Posted on Dec 12, 2011 by Admin
Men's Health magazine has published a ranked list to help readers find the cities where Americans are the saddest and where they are living with big smiles on their faces. As they note, "...
Posted on Dec 11, 2023 by Admin
Hello readers! We have some fantastic news to share. SimplyAnalytics is thrilled to announce the addition of 2020 Election data to our expanding collection of powerful datasets. With this...
Posted on Feb 17, 2015 by Admin
Our recent trip to Chicago exhibiting at the ALA Midwinter Meeting inspired this week’s SimplyMap blog post. Today, we’re going to demonstrate how to use business points in SimplyMap to a...
Posted on Jan 27, 2015 by Admin
In this week’s report exploring SimplyMap data, we take a look at where America’s bookworms reside. To find this data, we used the variable, Reading (Household Average), 2014 found in the...
Posted on May 28, 2009 by Admin
The Charleston Advisor, which publishes critical reviews of online resources for libraries, published a review of SimplyMap in April. We are very pleased to have received 4 1/4 stars out...


