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Analysis, Presentation, and Uses of Data, Part II

Analysis, Presentation, and Uses of Data, Part II. Analysis of Serial Surveys. Cross sectional – one point in time Time series – particular characteristics over time Longitudinal – same individuals over time. Visual Analysis of Data.

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Analysis, Presentation, and Uses of Data, Part II

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  1. Analysis, Presentation, and Uses of Data, Part II

  2. Analysis of Serial Surveys Cross sectional – one point in time Time series – particular characteristics over time Longitudinal – same individuals over time

  3. Visual Analysis of Data Charts (graphs) are powerful tools for analysis Reveal the data Speak directly to user Show both details and the whole Encourage comparison and analysis www.darteam.co.in

  4. Visual Analysis of Data

  5. Visual Analysis of Data

  6. Visual Presentation of Data Graphical excellence consists of ideas communicated with: • Precision • Efficiency • Clarity Graphical excellence is the well-designed presentation of interesting data – a matter of substance, of statistics, and design. Source: Edward Tufte (1983)

  7. Visual Presentation of Data Types of Charts: • Line Chart • Bar Charts • Pie Charts • Histograms • Scatter plots • Maps

  8. Visual Presentation of Data Types of Charts (continued): • Histograms • Scatter plots (see pic) • Maps Source: www.sciencesoftware.com

  9. Visual Presentation of Data Well-designed graphs: • Show the data with a clear purpose • Make large data sets understandable • Encourage the eye to make comparisons • Avoid three-dimensional graphs • Avoid pictographs

  10. Users of Labor Statistics Public policymakers • National • Regional • Local government officials Media Jobseekers and workers Business owners and managers Investors Consumers Academic researchers Students and teachers International organizations

  11. Uses of Labor Statistics Economic understanding Government planning Development and evaluation of policies Inter-area comparisons Investment decisions Business planning Preparing forecasts Job seeking

  12. Dissemination Responsibility to inform policymakers and the general public about the population, economy, and labor market Demonstrate the relevance of data to government and the public Enhance support for programs Improve respondent relations Greater visibility for data products

  13. Dissemination Useful tips when writing about data: • Describe the context • Present the complete picture to avoid misrepresenting the data • Convey the main findings clearly and concisely • Include definitions to support understanding • Minimize the use of jargon • Include information on data quality

  14. Dissemination Avoidance of actual or perceived political interference Established publication policy • Types of reports or data releases • Frequency of release • Preserving/archiving of data and publications Wide dissemination of data with equal access to all users

  15. References Making Data Meaningful (Part 1): A Guide to Writing Stories about Numbers (United Nations, 2009) http://www.unece.org/stats/documents/writing/MDM_Part1_English.pdf Making Data Meaningful (Part 2): A Guide to Presenting Statistics (United Nations, 2009)http://www.unece.org/stats/documents/writing/MDM_Part2_English.pdf Edward R. Tufte, 1983. The Visual Display of Quantitative Information, Chesire, Connecticut: Graphics Press. International Monetary Fund, Dissemination Standards Bulletin Board and Special Data Dissemination Standards http://dsbb.imf.org/

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