1 Putting Croatia on the Map: 2001 Census Data Made Available on the Web in Graphic Form Vesna Lužar-Stiffler, Ph.D. University Computing Centre and CAIR Research Centre, Zagreb, Croatia Marijan Gredelj Central Bureau of Statistics of the Republic of Croatia, Zagreb, Croatia Charles Stiffler, Ph.D. CAIR Research Centre, Zagreb, Croatia Dubravko Škrlec Central Bureau of Central Bureau of Statistics, Zagreb, Croatia

2 Outline n Introduction (Motivation) n Results: u Technical features and benefits u DEMO n Conclusions u Limitations u Future Developments

3 n Aim/Goal of this research: u to “digitalize” the government’s interface, so as u to provide faster data to the public, u at less expensive delivery costs of 2001 Census data. n Method (…or ways to improve customer satisfaction): u Since graphs (visualization) are better than tables, u Internet is better than printouts, and u drill-down is better than scrolling, the basic strategy was to use SAS ( ) GRAPH with ODS to provide the Administrative Area/ Geographic Information System (AA/GIS) functionalityhttp:// n Tactic: After researching typical public usage behavior, the SW was used to develop u a logical search u logical comparison, u logical ranking, and u logical presentation of the 2001 Census Data Introduction

4 e.g., Ethnic diversity table:

5 Ethnic diversity map (w/ Croats):

6 Ethnic diversity map (w/out Croats):

7 Results: Technical Features and Benefits of the Administrative Area GIS n Technical features: u Developed using SAS base and GRAPH with ODS (Output Delivery System) and intensive macro programming (25+ macros) u New administrative borders (at the county/ municipality level) for the first time implemented and used in SAS GRAPH maps (based on coordinate data provided by Croatian Geodesic Institute) u 16 consult. days (design + development) u 1114 files (html [frame, content, body], gif) u graphs (maps, bars, pies, pin charts, “pyramids”) u multiple links u No additional intervention in HTML code (generated by SAS ODS) was necessary u Full national language support (čžš) available

8 Results: Technical Features and Benefits of the Administrative Area GIS n Benefits: u Global view of demographic data (e.g., “diversity maps” for immediate insight) u Easy comparison, ranking, and identification of percentages (e.g., % illiterate) by geographic region (counties, municipalities), by name, or by rank (using “4 graphs views”) u Logical “drill-down” by geographic dimension (from counties to municipalities) u Individual graphs (maps, bars, pies, pin- charts, “age pyramids”) are readily available for download

9 Results: DEMO n Site map n Ethnicity graphs and “drill-down” n Population by education n Main Table (“Other attributes”) n Age pyramids n Population density

10 Site map ( ) graphs % by counties % by municip. ethnicity age education gender households Other graphs % by counties % by municip. graphs % by counties % by municip. graphs % by counties % by municip. graphs % by counties % by municip. age pyr. density

11 DEMO: Ethnicity graphs graphs ethnicity age education gender households Other graphs % by counties % by municip.

12 DEMO: Population by education graphs ethnicity age education gender households Other graphs % by counties % by municip.

13 DEMO: Main Table (“Other”) graphs ethnicity age education gender households Other

14 DEMO: Age Pyramids graphs ethnicity age education gender households Other age pyr.

15 DEMO: Population Density graphs ethnicity age education gender households Other density

16 Conclusions n Aims were accomplished due to: u SAS/ ODS flexibility in creating HTML linked files, tables, graphs u CBS staff expertise, collaboration with CAIR Research Center ( ) u AA/ GIS data made available with the cooperation of Croatian State Geodetic Administration

17 Conclusions n Limitations: u Pilot project (time & budget constraints) u 4 demographic tables only (more later) u Graph types limited to maps, bar/pie/”pin” charts, pyramids (customer key needs) u Dimensionality (1-2 variables at the time) u GIF graphics files used only (because Java, Activex were too large and slow) u Lowest administrative unit was municipality u Zagreb town “quarters” AA/GIS data not available at development time

18 Conclusions n Future developments: u English version u Additional tables and attributes (e.g., financial/economic) u Multiple variable analyses/presentations u “drill-down” to the lower level administrative units (settlements) u Zagreb town quarters AA/GIS data u Fully functional street-level SAS/GIS?