thematic maps and reports using demographic, business, & marketing data
Limited to 3 concurrent users. SimplyAnalytics enables non-technical users to quickly create professional quality thematic maps and reports using extensive demographic data (ie. census, consumer expenditure data) including estimates and projections, business data from D&B and the County Business Patterns Survey (CBP) and marketing data from EASI/MRI and Claritas PRIZM segments. SimplyAnlytics turns complex data into valuable information that is easily accessed through an innovative and user-friendly interface. Data is available at the State, Congressional District, County, City, ZIP Code, Census Tract and Block Group level in addition to custom trade area and can be exported as images, shapefiles or in tabular formats. Authorized PSU users must "Sign in as a guest" if they do not wish to register for a personal account. Personal accounts save your preferences, reports, and maps.
The following recipes are designed to give you a taste of the content and capabilities of SimplyAnalytics, and to build your confidence to explore the tool on your own!
Jump to a recipe -
Appetizer: Map median household income in Reading, PA.
Entrée: Comparison table of % and # of elementary-aged children in Reading, Berks, PA, and USA.
Entrée: Map average household spending on club memberships with health and fitness organizations in Reading, PA.
Dessert: Map % of households speaking Spanish with health and fitness organizations in Reading, PA.
Appetizer: Map median household income in Reading, PA.
Create a NEW PROJECT.
Search for Reading, PA (city).
Select DATA: Median Household Income.
Click Done to view your map. (X-out of your Data menu, if necessary.)
Set map view BY: BLOCK GROUPS. Why is this useful?
Edit LEGEND Classification Method to QUANTILES (LOCAL) or NATURAL BREAKS (LOCAL). You can also change the color scheme here. Why is this useful?
Rename MAP View (Ex.: Median HH income, 2022) and PROJECT (Ex. MKTG 301). Why is this useful?
Export the view. Tip: Add TEXT LABEL.
Entrée 1: Comparison table of % and # of elementary-aged children in Reading, Berks County, PA, and USA.
Create a new VIEW and select COMPARISON TABLE.
Search and select Locations: Reading, PA; Berks County, PA; Pennsylvania; and USA.
Select DATA > Age > Children >
# Age | 5 to 9 years
% Age | 5 to 9 years
# Age | 10 to 14 years
% Age | 10 to 14 years
Select Data > Education > Enrollment >
# Total | Enrolled in school | Enrolled in kindergarten | Public school
% Total | Enrolled in school | Enrolled in kindergarten | Public school
# Total | Enrolled in school | Enrolled in grade 1 to grade 4 | Public school
% Total | Enrolled in school | Enrolled in grade 1 to grade 4 | Public school
# Total | Enrolled in school | Enrolled in grade 5 to grade 8 | Public school
% Total | Enrolled in school | Enrolled in grade 5 to grade 8 | Public school
# Total | Enrolled in school | Enrolled in kindergarten | Private school
% Total | Enrolled in school | Enrolled in kindergarten | Private school
# Total | Enrolled in school | Enrolled in grade 1 to grade 4 | Private school
% Total | Enrolled in school | Enrolled in grade 1 to grade 4 | Private school
# Total | Enrolled in school | Enrolled in grade 5 to grade 8 | Private school
% Total | Enrolled in school | Enrolled in grade 5 to grade 8 | Private school
Select DONE to view Table.
Click and drag column headings to reorder columns: Reading, Berks, PA, USA. You can also click and drag row headings to reorder data by age and grade level. Why is this useful?
Rename COMPARISON TABLE View (Ex.: Reading Early Child Ed)
Export the table to Excel.
Entrée 2: Map average household spending on club memberships with health and fitness organizations in Reading, PA.
Create a new VIEW and select MAP.
Select Location: Reading, PA.
Select DATA > Consumer Behavior > Entertainment & Leisure > Social, recreation, health club membership (household average).
Select BUSINESSES > Use advanced search > NAICS = 611620
Add condition; change operator to OR. Why is this useful?
Add NAICS = 713940
Select DONE to view Map.
Set map view BY: BLOCK GROUPS. Why is this useful?
Edit LEGEND Classification Method to QUANTILES (LOCAL) or NATURAL BREAKS (LOCAL). You can also change the color scheme here. Why is this useful?
Rename MAP View (Ex.: HH spending on health clubs)
Export the view. Tip: Add TEXT LABEL.
Dessert: Map % of households speaking Spanish with health and fitness organizations in Reading, PA.
Create a new VIEW and select MAP.
Select Location: Reading, PA.
Select DATA > Language > % Language Spoken at Home | Spanish
Select BUSINESSES > NAICS = 611620 or NAICS = 713940
Select DONE to view Map.
Set map view BY: CENSUS TRACKS. Why is this useful?
Edit LEGEND Classification Method to QUANTILES (LOCAL) or NATURAL BREAKS (LOCAL). You can also change the color scheme here. Why is this useful?
Rename MAP View (Ex.: % Speaks Spanish)
Export the view. Tip: Add TEXT LABEL.
Leftovers: Quick report.
Use Quick Report to generate a summary dataset for a location. (These variables can also be mapped!) Note that this cookbook is not exhaustive, and you are strongly encouraged to spend time exploring SimplyAnalytics.
Create a new VIEW and select QUICK REPORT.
Select Location: Reading, PA.
Select DONE to view table. Note that you can toggle between Demographic Overview and Housing Detail.