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Put data to work more effectively.
Certificate in Data Analytics

Visual analysis with ProximityOne tools
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visually analyze clients/markets
site analysis using 1 mile radius


$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks

Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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Data Analytics Blog
Mapping Statistical Data

Support & Technical Assistance
help using these resources

Regional Data Analytics
  -- expanding insights through data analytics
  -- examining regional demographic-economic characteristics

Regional Data Analytics (RDA) is an integrated software and database system focused on managing, accessing and using geographic, demographic, economic, business, education, environment, health and related subject matter data. . RDA is companion to the ProximityOne CV XE GIS that supports wide-ranging GIS, mapping and geospatial analysis applications. RDA provides integrated access to ProximityOne Situation & Outlook demographic-economic estimates and projections. See this related section on RDA operations and guidance in RDA use.

RDA Application Examples
Appalachia is a region that includes parts of 13 states and has long been challenged with poverty. How is the Appalachia population changing and why? See this related section providing answers to these questions. The analysis, report and insights were developed in minutes using Regional Data Analytics.

RDA Role & Scope
Many organizations produce data at the county level of geography. The ProximityOne Regional Data Analytics software provides a unique tool to access, process and analyze U.S. national scope, multi-sourced, county demographic-economic data.

RDA is an important tool for anyone involved with viewing, analyzing or publishing county/regional data.
  • Data are often supplied in a dataset for which custom software or applications are required to use the data. RDA provides the data in a ready to use structure.
  • The RDA application examples (above) are focused on the "Population Estimates & Components of Change." There are many other types of subject matter supported by RDA. See separate page/section. The ability to associate these separately sourced data is an important feature of RDA. For example, analysis of the housing market requires data about the housing inventory by age, condition and other attributes and market dynamics data on tenure, migration, prices, geography/distribution and other factors. RDA provides access to a wide range of related subject matter, organized in a database structure. RDA can help eliminate the time consuming, expensive and error prone processes (often duplicated by others focused on separate geographic regions), of developing linkages between separately sourced data.
  • Aggregating county level data to a regional, multi-county area can be involved. Even in the case of metros (one or more combined counties), county-level data are challenging to compare to metro totals. RDA provides a solution to this need.
  • Many are interested in regional groupings of counties that are not metros as defined by OMB. RDA also provides a solution to these needs. For example, the Los Angeles, CA metro as defined by OMB consists of Los Angeles and Orange counties. Many Los Angeles stakeholders are interested in the "5-county" Los Angeles region; RDA enables the user to define the county groupings flexibly. Another important feature of RDA is the ability to publish the county level data with regional aggregates in a combined analytical and consumable format/structure.
  • Often county level data are published in files or structures that do not lend themselves to county-regional analysis or publishing. RDA outputs processing results in ready to use Excel and HTML/Web page structures.
  • Data output structures are standardized by RDA so that a region in one part of the state can be easily compared to another part of the state or anywhere in the nation.
  • Compare two (or more) counties, even though they might be miles apart. Using RDA you can view attributes of multiple counties side-by-side even though the total might not be important to you. Or perhaps it is ... the total might reflect to total size of market and you can see county components in relative manner.
  • Predictive Analytics. Use the optional modeling features within RDA to develop your own demographic-economic projections.
Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Additional Information
ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

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