Open edudatawrangling
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Open edudatawrangling

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Open edudatawrangling Presentation Transcript

  • 1. Working with #opendataTony Hirst@psychemedia
  • 2. DATAUSERSEducatorsLearnersPlannersMarketersPolicymakersResearchersPressNGOs“DEVELOPERS”
  • 3. A tools andissuesbased view
  • 4. DATATOOLSUSERSPROBLEMS
  • 5. Access/obtain dataMake sense of dataAsk specific questions of dataCommunicate in a data-centric way
  • 6. Load dataClean dataMerge/enrich data
  • 7. DATAIssuesTOOLS
  • 8. DATAOtherTOOLSIssuesTOOLS
  • 9. A barrier to access(for the tool user) isdata format
  • 10. JSON XMLCSVXLSTSV.dbHTMLPDF DOCTXT
  • 11. GLUE LOGIC(Glue code)
  • 12. =importHTML(URL, “table”, N)HTMLQUERYABLEDATA
  • 13. =importHTML(URL, “table”, N)HTMLINTERACTIVEDASHBOARDGoogle Charts
  • 14. A barrier to access(for the tool user) isdata shape
  • 15. A barrier to access(for the tool user) isdata cleanliness
  • 16. Questions ofidentity
  • 17. The Open UniversityOpen UniversityOUOpen UniOpen University, UKNORMALISATION/RECONCILIATION
  • 18. Reconciliation toa canonical nameand/or to aunique identifier
  • 19. A stumbling block(for the data user)is data enrichment
  • 20. A stumbling block(for the data user)is joining datasets
  • 21. A stumbling block(for the data user)is joining partiallymatched data
  • 22. Rolling your owninteractive dataexploration tools
  • 23. GoogleVisualisationAPI
  • 24. googleVis(R)
  • 25. R ShinyApps
  • 26. ui.R server.R
  • 27. RCharts
  • 28. Many chart toolsdo the work foryou if the data isin the right shape
  • 29. DATATOOLSUSERS PROBLEMS
  • 30. blog.ouseful.info@psychemedia