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ABS Tablebuilder and DataAnalyser

Explore the extensive features of ABS TableBuilder and DataAnalyser for analyzing microdata with confidentiality filters and robust statistical tools. User-friendly interface, various analysis techniques, and data manipulation capabilities.

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ABS Tablebuilder and DataAnalyser

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  1. ABS Tablebuilder and DataAnalyser Session 7UNECE Work Session on Statistical Data Confidentiality28-30 October 2013 Daniel Elazar daniel.elazar@abs.gov.au

  2. Traditional Framework for Analysis of Microdata Users' Environment Basic CURFs on CD-ROM Remote Execution - RADL Remote access to Basic and Expanded CURFs for statistical analysis in SAS, SPSS and STATA. On-site - ABSDL- Access to Expanded or Specialist CURFs Special Data Service/Consultancies

  3. ABS Analysis Services by “Market Segment” ABS Data Lab Special Data Service / Consultancies Remote Access Data Lab Most Sophisticated CURFs Analysis Service Survey Table Builder Publication Output Less Sophisticated

  4. Evaluation of Current Framework Pluses R Analysis of Confidentialised URF CD-ROM or RADL R RADL supports SAS, SPSS or STATA R’Free’ coding suited to complex manipulations of data R Variety of household survey datasets available for analysis Minuses T RADL protections not tight enough to enable analysis of more detailed data T Limited to SAS, SPSS or STATA T Very few Business CURFs T Lengthy CURF creation process T Metadata not searchable

  5. Future ABS Tabulation Environment MURF Table Builder Output Future ABS Research Environment User selects technique Confidentiality Filters Tabular Filter 1 Data Transforms Confidentialised Outputs Linear Filter 2 MURF Output Logistic Filter 3 Probit Filter 4 Multinomial Filter 5

  6. TableBuilder Functionality

  7. TableBuilder Protections

  8. DataAnalyser Functionality Analysis Procedures /Specifications Exploratory Data Analysis Transformations / Derivations Output Formats Outputs Robust Linear Regression Binomial logistic Probit Multinomial Poisson Diagnostics Weighted Analysis • Logical derivations • Categorical/ Dummy variables • Category collapsing Expression Editor for categ. vars Drop variables / records Action List CSV Storage of intermediate datasets • R-squared • Pseudo R-squared • Coefficients • Standard errors Other Diagnostics • Summary statistics • (sums, counts) • Summary Tables • Graphics • (side-by-side box plots) Summary statistics (count) Graphics • Written in R • Full User Authentication • Audit System • Workflow Control • Data Repository Interface • Metadata Handler

  9. DataAnalyser Protections (additional to TB)

  10. Hex-bin plots

  11. Future Directions

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