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Data Planet User Guide

Access Data Planet Here

Data-Planet Statistical Datasets
Access to statistical data produced by U.S. Federal agencies, States, private organizations, and major intergovernmental organizations. Charts, maps, views, rankings, time series, and tables are available for use in the Data-Planet repository. Data-Planet Statistical Datasets offers capabilities to compare & contrast multiple data series, perform statistical calculations on the data, and customize output views.

Mason Libraries also has access to Data-Planet Statistical Ready Reference
This resource searches the Data-Planet repository of standardized and structured statistical data. Users can search and view charts, maps, and rankings of time series at the country, state, county, MSA, postal code, census-tract/block group level. This product provides summary information as well as detailed line item views.

General Overview

Data Planet Statistical Datasets is a web-based research solutions tool that provides fast and easy access to data from licensed and public domain datasets within an easy-to-use interface. With this dynamic tool, you can scan the contents of the collection, select subjects and variables of interest, and view your data in side-by-side tables and charts. The Data Planet repository contains more than 52 billion data points from 6.2 billion datasets sourced from 75+ source organizations. There are billions of charts, maps, views, rankings, time series and tables available for use in the Data Planet repository. All of the data have been standardized and structured, and are described with up to 37 fields of metadata, including a controlled vocabulary. 

You can find more information on Data Planet's Statistical Database in this search guide. 

 

Video Tutorials

This tutorial provides a general overview of Data Planet

This tutorial provides an in-depth overview of the main features of the Data Planet interface

Data Sheet and Search Examples

Clink on the links below to view DataSheets comprising statistical abstracts complete with infographics of indicators describing demographic characteristics and behavior patterns of US consumers created in Data Planet Statistical Datasets. Log in to explore the data at even more granularity - as well as relationships between these statistics and other indicators in the vast Data Planet repository. 

In reviewing the samples below, identify the question(s) the data answers for marketing and entrepreneurial initiatives.

Ranking of US states by percentage of households who bought running clothes

Household spending on floor coverings - Delaware census tracts

Amount spent per household on major appliances - Michigan zip codes

Participation in leisure activities - ranking of Wyoming counties by percentage of households who barbecue or bake

Retirees - ranking of US states on an index of the size of the retired population 

Employees - Gambling industries - ranking of states

Employees - Performing arts companies - ranking of states

Spending on digital audio readers - white households in Alabama counties

Wealthiest households - map of US states

Index of homes built before 1939 - ranks Texas counties as an index of the proportion of homes built before 1939

Large families - maps Missouri households on an index  of number of families with five or more members

Children's health status - ranks Illinois counties based on counts of children assessed as in excellent vs fair/poor health

Quality of life - ranks Hawaii counties on an index of quality of life

DOIs in Data Planet

Note that you can learn more about the indicator, dataset, and source by viewing the statistical abstract that appears below the chart, as below. These summaries can be exported with the graph by clicking on the Export link in the menu bar above the chart. The Create DOI link allows you to create a DOI that ensures that each time you reference the data in a paper or elsewhere that the reader can view the exact view of the DataSheet at the time you created it. For more information on DOIs, click here

Data Planet DOI

https://doi.org/10.6068/DP164B3671D6068