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PX-Web 2013 Petros Likidis, Statistics Sweden Mikael Nordberg, Statistics Sweden.

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En presentation över ämnet: "PX-Web 2013 Petros Likidis, Statistics Sweden Mikael Nordberg, Statistics Sweden."— Presentationens avskrift:

1 PX-Web 2013 Petros Likidis, Statistics Sweden Mikael Nordberg, Statistics Sweden

2 New features and improvements User friendly urls Better breadcrumbs Clickable cells Home page per database New keywords API Can be activated on individual databases

3 New keywords (CNMM 2.3) FIRST-PUBLISHED A date that indicates the date that the table was first published DATANOTE A character that is show together with the table title, variable name or the value to indicate that there is a footnote connected to this item. META-ID A reference to a external metadata system. This keyword could be set on the entire table a variable or a value.

4 Scraping

5 Design of the API Build with the PC-Axis components and uses the same “workflow” Browsing the database. Selecting table, variables and values. Retrieving a data cube. Data cube format. “Standard” formats PX, CSV, Excel PNG (experimental) New JSON format (oData DSPL) JSON-STAT

6 Addressing the API Base address VersionLanguage Tributedatabase Default is set to /api/v1

7 Browsing [{"id":"BE","type":"l","text":"Population"},{"id":"FM","type":"l","text":"Financial markets"},{"id":"HE","type":"l","text":"Household finances"},{"id":"LE","type":"l","text":"Living conditions"},{"id":"MI","type":"l","text":"Environment"},{"id":"NV","type":"l","text":"Business activities"},{"id":"PR","type":"l","text":"Prices and Consumption"},{"id":"AM","type":"l","text":"Labour market"},{"id":"BO","type":"l","text":"Housing, construction and building"},{"id":"HA","type":"l","text":"Trade in goods and services"},{"id":"JO","type":"l","text":"Agriculture, forestry and fishery"},{"id":"ME","type":"l","text":"Democracy"},{"id":"NR","type":"l","text":"National accounts"},{"id":"OE","type":"l","text":"Public finances"},{"id":"UF","type":"l","text":"Education and research"}] { "id": "BE", "type": "l", "text": "Population" }

8 Browsing [{"id":"BefolkningNy","type":"t","text":"Population by region, marital status, age and sex. Year "},{"id":"FolkmangdNov","type":"t","text":"Population 1 November by region, age and sex. Year "},{"id":"FolkmangdSmaort","type":"t","text":"Population by smaller localities (places with inhabitants). Every fifth year "},{"id":"FolkmangdTatort","type":"t","text":"Population by localities. Every fifth year "},{"id":"FolkmangdTatortH","type":"t","text":"Population by localities with older/changed names. Every fifth year "}] { "id": "BefolkningNy", "type": "t", "text": "Population by region, marital status, age and sex. Year " }

9 Browsing {"title":"Population by region, marital status, age, sex, observations and period","variables":[{"code":"Region","text":"region","values":["00","01","0114","0115","0117","0120","0123","0125","0126","0127","0128","0136","0138","0139","0140","0160","0162","0163","0180","0181","0182","0183","0184"," 0186","0187","0188","0191","0192","03","0305","0319","0330","0331","0360","0380","0381","0382","04","0428","0461","0480","0481","0482","0483","0484","0486","0488","05","0509","0512","0513","0560","0561","0562","0563"," 0580","0581","0582","0583","0584","0586","06","0604","0617","0642","0643","0662","0665","0680","0682","0683","0684","0685","0686","0687","07","0760","0761","0763","0764","0765","0767","0780","0781","08","0821","0834"," 0840","0860","0861","0862","0880","0881","0882","0883","0884","0885","09","0980","10","1060","1080","1081","1082","1083","12","1214","1230","1231","1233","1256","1257","1260","1261","1262","1263","1264","1265","1266"," 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county","Vingåker","Gnesta","Nyköping","Oxelösund","Flen","Katrineholm","Eskilstuna","Strängnäs","Trosa","Östergötland county","Ödeshög","Ydre","Kinda","Boxholm","Åtvidaberg","Finspång","Valdemarsvik","Linköping","Norrköping","Söderköping","Motala","Vadstena","Mjölby","Jönköping county","Aneby","Gnosjö","Mullsjö","Habo","Gislaved","Vaggeryd","Jönköping","Nässjö","Värnamo","Sävsjö","Vetlanda","Eksjö","Tranås","Kronoberg county","Uppvidinge","Lessebo","Tingsryd","Alvesta","Älmhult","Markaryd","Växjö","Ljungby","Kalmar county","Högsby","Torsås","Mörbylånga","Hultsfred","Mönsterås","Emmaboda","Kalmar","Nybro","Oskarshamn","Västervik","Vimmerby","Borgholm","Gotland county","Gotland","Blekinge county","Olofström","Karlskrona","Ronneby","Karlshamn","Sölvesborg","Skåne county","Svalöv","Staffanstorp","Burlöv","Vellinge","Östra 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county","Kil","Eda","Torsby","Storfors","Hammarö","Munkfors","Forshaga","Grums","Årjäng","Sunne","Karlstad","Kristinehamn","Filipstad","Hagfors","Arvika","Säffle","Örebro county","Lekeberg","Laxå","Hallsberg","Degerfors","Hällefors","Ljusnarsberg","Örebro","Kumla","Askersund","Karlskoga","Nora","Lindesberg","Västmanland county","Skinnskatteberg","Surahammar","Kungsör","Hallstahammar","Norberg","Västerås","Sala","Fagersta","Köping","Arboga","Dalarna county","Vansbro","Malung- Sälen","Gagnef","Leksand","Rättvik","Orsa","Älvdalen","Smedjebacken","Mora","Falun","Borlänge","Säter","Hedemora","Avesta","Ludvika","Gävleborg county","Ockelbo","Hofors","Ovanåker","Nordanstig","Ljusdal","Gävle","Sandviken","Söderhamn","Bollnäs","Hudiksvall","Västernorrland county","Ånge","Timrå","Härnösand","Sundsvall","Kramfors","Sollefteå","Örnsköldsvik","Jämtland county","Ragunda","Bräcke","Krokom","Strömsund","Åre","Berg","Härjedalen","Östersund","Västerbotten 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10 Selection { "query": [ { "code": "ContentsCode", "selection": { "filter": "item", "values": [ "BE0101N1" ] } }, { "code": "Tid", "selection": { "filter": "top", "values": [ "5", ] } ], "response": { "format": "json", }

11 Fetching the data table Do a HTTP POST request to the table URL Add the query as the content of the request

12 Limitations Number of cells that can be fetched => Number of calls => 10 calls/10 second base on IP address

13 Experience at Statistics Sweden

14 Experience Slow adaptation Still just a Beta version. Lunched only through a Facebook group. Some blog post. One project on GitHub (Ruby Client). Not that many support request.

15 Experience We really don’t know our users since you don’t have to register use the API. But we log the users IP address. Private persons in Sweden. Server hosting companies around the world. Companies in the financial sector.

16 API usage

17 Usage


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