Using Multiple Filter Conditions
This week’s SimplyMap report will provide an overview of one of the more advanced functionalities in SimplyMap - applying multiple filter conditions. Filters can be applied to any map or report tabs. For example, a map showing Household income levels by ZIP Code could be filtered to only show ZIP Codes with income over a specific threshold. Another example would be to filter the same income map to only show ZIP Codes with a population over 8,000. Using multiple filter conditions is a great way to hone your focus on a narrower set of geographic locations that meet your multiple criteria. Let’s get started with an example.
Scenario: You are looking for the best location to open up a high end salon in California and want to develop an initial list to further analyze. Let’s assume there are three criteria that must be met before considering a location.
1. The location has to have more than 500,000 residents.
2. The location must have a median household income of at least 75,000.
3. At least 30% of households must report spending money at a salon.
The Setup: First, create a new Location Analysis Report and set your location to California. Next, navigate through some pertinent variables and add the following variables that will serve as our criteria.
# Population, Total (Census Data » People and Households » Age » Total)
Household Inc., Median (Census Data » People and Households » Income » HH Income)
% Households Buying - Expenditures: Amount Spent In Total: Beauty Parlor (MRI Consumer Survey » Purchasing » Average HH Spending)
After you have added all variables you are interested in, close out the Variables panel to generate your report. Results below:
Your initial results will display all counties in California. To create a filter, click on Data Filters > Create New Filter from the top right of SimplyMap. The filter creation dialog will open up.
NOTE: The only variables that will show up as possible filter criteria in the variable dropdown will be either recently used variables, or favorite variables. In this case, we have the variables already in the report, so by default they will show under recently used variables.
1. Select the first dropdown and click on the beauty parlor variable. Leave the second dropdown to “is greater than” and enter a value of 30 in the last box.
2. Click on Add Another Condition to bring up a second variable selection box - choose the population variable and set that to “is greater than” 500,000.
3. Lastly, click on Add Another Condition once more, and find the Median Household Income variable - set this value to “is greater than” 75,000.
Give your filter a name, and click on SAVE to apply it onto your report. New results below!
Locations that do not meet your three conditions are then struck out with a line and seen in light gray. If you’d like to hide these locations, click on Display Options > Filtered Locations > Hide. Your final report is shown below:
Only 7 of California’s 58 counties meet our specific criteria.
A logical next step for someone doing market research would be to analyze specific ZIP Codes or census tracts within these counties more in depth, and run business reports to see what the competition is like in the target areas.
Do you have any questions on creating and applying filters? Feel free to leave a comment below or send as an email at: support@geographicresearch.com
More from SimplyAnalytics
Posted on Mar 30, 2016 by Admin
In previous blog entries we highlighted the usefulness of viewing multiple years of data for the same variable. In short, analyzing the same variable across multiple years allows users to...
Posted on May 26, 2016 by Admin
In this week’s report exploring SimplyMap data, we take a look at the variables available relative to internet search engines used. The source of this data will come from the SimmonsLOCAL...
Posted on Nov 10, 2017 by Admin
Welcome to this week’s SimplyAnalytics blog post. Today we’re going to take a closer look at the options available to you when editing the map legend. Let’s get started! First, to start e...
Posted on Mar 14, 2010 by Admin
The GRI team was honored to learn that SimplyMap was included in this year's Choice Outstanding Academic Title List, published in the January 2010 issue of Choice Magazine. This is a grea...
Posted on Aug 27, 2018 by Admin
Welcome readers! This week we are excited to feature our newest view in SimplyAnalytics, the Time Series Table.What is it?The Time Series Table allows you to quickly pull all years availa...
Posted on Jun 09, 2021 by Admin
Hello (virtual) ALA attendees! Thank you for dropping by our booth to learn more about SimplyAnalytics. Please email us if you have any questions or would like a live demo or free 30 day ...
Posted on Jan 23, 2024 by Admin
We are excited to again make the trip to Los Angeles for SCELCapalooza 2024 hosted at Loyola Marymount University! Please drop by our table on Wednesday, Feb. 28th to learn more about Sim...
Posted on Jul 26, 2016 by Admin
In this week’s SimplyMap report, we’ll take a look at the Retail Market Power dataset and provide a simple, effective example of how the data package can be used. If your institution curr...
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 Apr 18, 2008 by Admin
A team of librarians at Drexel University has developed a detailed poster to introduce SimplyMap as a new research tool for the student body. The poster was launched on Drexel Research Da...



