Storing and Organizing Statistical Data
Explore the methods of storing and organizing statistical data, drawing parallels to everyday items like clothes in a dresser, dishes in a cabinet, and cars in a garage. Learn how items are grouped based on commonalities and separated by differences, reflecting the essence of efficient data management. Discover the importance of common characteristics and attributes in effectively managing statistical data.
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Presentation Transcript
Modernizing Data Dissemination FCSM Research and Policy Conference Clayton Waring Senior Economist BLS Office of Productivity and Technology November 4, 2021 1 U.S. BUREAU OF LABOR STATISTICS bls.gov
Data Dissemination Make it as easy as possible for people to find and use data that is of interest to them. 2 U.S. BUREAUOF LABOR STATISTICS bls.gov
Data Repository Technology Structure for Storing and Organizing Data 3 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Stuff Easy and Intuitive Bedroom Dresser Kitchen Cabinet Bookshelves Garden Shed Parking Garage 4 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Stuff Bedroom Dresser All clothes share certain common characteristics that define them as clothes Kitchen Cabinet All dishes share certain common characteristics that define them as dishes Parking Garage All vehicles share certain common characteristics that define them as vehicles 5 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Stuff The method by which items are stored and organized depends on the common characteristics and attributes found in the items being stored. 6 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Stuff Items are grouped together based on shared commonalities, and items are separated based on their differences. 7 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data At some basic, fundamental level storing and organizing statistical data shouldn t be any different than storing and organizing clothes in a dresser, dishes in a cabinet, or cars in a garage. 8 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data What are the common characteristics and attributes found in all statistical data? What is the definition of statistical data? 9 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data Time Series: A set of numbers that represents the change over time in some measurable aspect of people, places, and things. 10 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data Time Series Elements Measures People, Places, and Things Time 11 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data Measures Represented by numeric value Employment, wages, prices, productivity, injuries, expenditures, value of shipments, etc. May increase and decrease over time 12 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data People, Places and Things Establishments (labor, capital, materials, output, etc.) Households (people, property, belongings, etc.) Occupation, Demographic, Industry, Geography, Goods and Services, etc. 13 U.S. BUREAUOF LABOR STATISTICS bls.gov
Storing and Organizing Statistical Data Time Past, present, and future Frequency of observation 14 U.S. BUREAUOF LABOR STATISTICS bls.gov
Statistical Data Time Series People, Places, and Things Statistical Data Measure Time 15 U.S. BUREAUOF LABOR STATISTICS bls.gov
Pattern of Information How many thousands of nurses are currently employed at hospitals in North Carolina? People, Places, and Things State North Carolina Industry Hospitals Occupation Nurses Measure Measure Employment Level Unit Thousands Time Year 2021 Month November 16 U.S. BUREAUOF LABOR STATISTICS bls.gov
Data Query Three Independent Pathways Can be Used to Locate All Data Measures Commonalities and differences across data People, places, and things Commonalities and differences across data Time Commonalities and differences across data 17 U.S. BUREAUOF LABOR STATISTICS bls.gov
Old Versus New Statistical Data Data Metadata Statistical Data Measures People, places, and things Time 18 U.S. BUREAUOF LABOR STATISTICS bls.gov
Assign Values to People, Places, and Things Dave Weight Car Speed Beach Temperature House Size Doctors in Virginia Average salary Men in U.S. over age 50 Employment rate Shirts in Pittsburg, PA Consumer prices U.S. Manufacturing Sector Productivity 19 U.S. BUREAUOF LABOR STATISTICS bls.gov
Advantages Easy and intuitive to understand Highly scalable and flexible Integrate data from multiple sources 20 U.S. BUREAUOF LABOR STATISTICS bls.gov
Contact Information Clayton Waring Senior Economist www.bls.gov/lpc 202-691-5644 waring.clayton@bls.gov 21 U.S. BUREAUOF LABOR STATISTICS bls.gov
