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 Aug 02, 2016 by Admin
Did you know that you can use SimplyMap to identify which make and model of vehicle is most prevalent within any location in the United States? In this week’s SimplyMap report, we’ll take...
Posted on Mar 03, 2016 by Admin
In this week’s SimplyMap report we take a look into the SimmonsLOCAL dataset to determine which cities in America have the highest percentage of residents who consume organic food product...
Posted on Apr 23, 2018 by Admin
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...
Posted on Apr 05, 2019 by Admin
Come visit the SimplyAnalytics booth (325) at the upcoming ACRL 2019 show in Cleveland! Say hello, grab a chocolate, and stay for a quick demo of SimplyAnalytics. The team will be showcas...
Posted on Feb 20, 2018 by Admin
We are looking forward to attending the annual SCELC (Statewide California Electronic Library Consortium) Vendor day, at Loyola Marymount University in Los Angeles on March 8th. In additi...
Posted on Apr 21, 2015 by Admin
In this week’s edition of exploring SimplyMap data, we spotlight the Consumer Buying Power® data package in SimplyMap. What is it? The Nielsen Consumer Buying Power® database incorporates...
Posted on Jan 07, 2015 by Admin
In this week’s exploration of SimplyMap data, we set out to find which cities in the United States have the highest percentage of older houses. To determine this, we used the variable “% ...
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 Apr 30, 2020 by Admin
We find ourselves in the middle of an unprecedented crisis the likes of which most of us have never experienced before, and hopefully won’t have to experience again. There is the occasion...
Posted on Sep 07, 2011 by Admin
Geographic Research will be exhibiting and presenting during a vendor showcase session at the upcoming North Carolina Library Association (NCLA) Biennial Conference, October 4-7, 2011 in ...


