Online Training

• Quick Overview
• Microdata Tutorial: Microdata is data in which every record represents an individual's answers to a survey (SurveyData) or government form (AdministrativeData). Records must be added up to get the estimated counts or averages for each data item. For example, for surveys of individuals, microdata contain records for each individual persons or households interviewed; for surveys of organizations or business establishments, the microdata contain records for each organization. This tutorial uses the Current Popluation Survey (CPS) dataset as an example. Other examples of microdata datasets available in DataFerrett are the American Community Survey PUMS, Decennial Census PUMS, American Housing Survey, Home Mortgage Disclosure Act, Mortality, and others.

• Aggregate Data Tutorial: Aggregate data is data which has already been tabulated(summarized into averages, medians or added up into counts), usually for specific geographic units or some other unit, such as industry classifications. In this case, each record is a geographic unit, and there is no summing needed to get the totals for the geographies. This tutorial uses the decennial census Summary File 3 dataset as an example. Other examples of aggregate datasets available in DataFerrett are the County Business Patterns and the Small Area Income and Poverty Estimates.

• UsersGuide

• Beginner Topics
  • acs_pums_hands_on_tenure.doc: Training Handout using American Community Survey in DataFerrett
  • cps_hands_on_tenure.doc: Training Handout using Current Population Survey in DataFerrett
  • sf3_hands_on_tenure.doc: Training Handout using Census Summary File 3 in DataFerrett

• MiniMovies - Short 30sec type screen captures of steps to perform simple to complex tabulations in the DataFerrett.
  • 1.

• FerrettExamples - DataFerrett users can submit their tabulations for sharing to the DataFerrett Users Community. Explanations of query description, data chosen to use, i.e., CPS vs. ACS, and can create an online discussion of the topic being explored.

• AdvancedTopics - This link takes you to a page containing several tutorials illustrating advance features of DataFerrett.