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Working with #opendataTony Hirst@psychemedia
DATAUSERSEducatorsLearnersPlannersMarketersPolicymakersResearchersPressNGOs“DEVELOPERS”
A tools andissuesbased view
DATATOOLSUSERSPROBLEMS
Access/obtain dataMake sense of dataAsk specific questions of dataCommunicate in a data-centric way
Load dataClean dataMerge/enrich data
DATAIssuesTOOLS
DATAOtherTOOLSIssuesTOOLS
A barrier to access(for the tool user) isdata format
JSON XMLCSVXLSTSV.dbHTMLPDF DOCTXT
GLUE LOGIC(Glue code)
=importHTML(URL, “table”, N)HTMLQUERYABLEDATA
=importHTML(URL, “table”, N)HTMLINTERACTIVEDASHBOARDGoogle Charts
A barrier to access(for the tool user) isdata shape
A barrier to access(for the tool user) isdata cleanliness
Questions ofidentity
The Open UniversityOpen UniversityOUOpen UniOpen University, UKNORMALISATION/RECONCILIATION
Reconciliation toa canonical nameand/or to aunique identifier
A stumbling block(for the data user)is data enrichment
A stumbling block(for the data user)is joining datasets
A stumbling block(for the data user)is joining partiallymatched data
Rolling your owninteractive dataexploration tools
GoogleVisualisationAPI
googleVis(R)
R ShinyApps
ui.R server.R
RCharts
Many chart toolsdo the work foryou if the data isin the right shape
DATATOOLSUSERS PROBLEMS
blog.ouseful.info@psychemedia
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
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Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
Open edudatawrangling
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Transcript of "Open edudatawrangling"

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