Disclosure Control NFGS september

Disclosure control  Standard tables with e.g. large groups of age.

Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”

Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.

Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)

Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)  Standardsize for grids, 250 m in urban areas and 1000 m outside.

Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)  Standardsize for grids, 250 m in urban areas and 1000 m outside.  Exception of the general rule can be done.

Before Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal

Before Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal After Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal

Visualization of spatial statistics  Statistics eXplorer since 2011

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.  Organisation at SCB with different departments, Process, Communikation, IT and Subject areas.

Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.  Organisation at SCB with different departments, Process, Communikation, IT and Subject areas.  Strategy?

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