MKTG/STAT 4760/7760 Applied Probability Models in Marketing

Datasets or excerpts intended to support public competition. Competitors are encouraged to submit solutions to a wide array of discreet challenges.

Archived newsletters featuring idiosyncratic datasets. Select Full Archive for more view options, or search by googling [your topic] site:data-is-plural.com

Searchable summary data with links to original data. Search for 'number of', 'count of', or 'frequency' and your topic. Look under Source > Source Link to access original data.

Detail-level commercial datasets licensed by Wharton-affiliated groups. Access by request.

US and international census and survey data. Select a dataset from the landing page and click Visit Site. Click Get Data and follow the prompts to generate and extract a custom table. Log in (registration required) to access your history of tables.

Electric vehicle registration data.

Retail e-commerce browsing and checkout data at the customer and item levels. Log in (registration required). From the Get Data landing page, select Comscore. Select a year and level of measurement. Follow the provided steps to extract data.

IPUMS provides a friendly crosstabulation tool for data exploration and data extraction tools for harmonized data from US national surveys on self-reported health and health care access information, the National Health Interview Survey (NHIS, 1963-present) and the Medical Expenditure Panel Survey (MEPS, 1996-present). The IPUMS interface provides variables harmonized across many years of data, online data analysis for basic exploration, and case and variable dataset extracts.

Interactive visualization that includes counts of Penn students, staff, and faculty by sex and race/ethnicity over multiple academic years. Provided by University of Pennsylvania Institutional Research & Analysis.

Hospital operations survey responses. Log in (registration required). From the Get Data landing page, select American Hospital Association. Select a time period and topic. Follow the provided steps to extract data.

Datasets about movies, books, and more

Sports participation, demographics, and more. Access from campus, Penn Virtual Lab, or campus VPN. Drill into areas of interest to find frequency tables. Some content categories link to external sites.

Top 100 video games by revenue on the Steam platform. Reports a count of weeks on the list per title.

US governmental data from assorted agencies and municipalities. Search for 'frequency.' You can use options to the left of the results to filter by features such as topic and file format.

Governmental and intergovernmental data with detail for the United States.

Tables from the St. Louis Fed. Open a table such as Business Applications to find a count of applications for an EIN by month. Use the Download button to extract data.

US and international census and survey data. Select a dataset from the landing page and click Visit Site. Click Get Data and follow the prompts to generate and extract a custom table. Log in (registration required) to access your history of tables.

Use the menu to select Statistics. Use any available approach to find data of interest. Click the entry's DATA link to download.

Open data from the city of Philadelphia and other regional entities.

Use the Data Center menu to explore datasets by topic. Open a section such as Maritime Transport to find merchant fleet size counts or Population to find populations counts over time.

"Explore the data for a broader understanding of how the government spends its time and your money."

Archived newsletters featuring idiosyncratic datasets. Select Full Archive for more view options, or search by googling [your topic] site:data-is-plural.com

Detail-level commercial datasets licensed by Wharton-affiliated groups. Access by request.

Datasets or excerpts intended to support public competition. Competitors are encouraged to submit solutions to a wide array of discreet challenges.

Assorted data tables with documentation. Look under, for instance, UFO Encounters to see reports by year, location, and type.