Music Videos and Gastronomification for Big Data Analysis Thomas Levine & Brian Abelson csv soundsytem

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1 MusicVideosand Gastronomificationfor BigDataAnalysis ThomasLevine&BrianAbelson csvsoundsytem big data talk

2 csvsoundsystem Bigdataconsultingfirmbasedin NewYork Specialties Keepthingssimple Makingthingsthatpeopleunderstand csv standsfor comma separated values

3 Big data

4 Voluminous data

5 Complex data

6 Voluminous data Complex data

7 Voluminous data Big data Complex data

8 rowid price updated Voluminous spreadsheet

9 id price updated long lat zip Complex spreadsheet

10 Big spreadsheet

11 Aggregation High volume spreadsheet Low volume spreadsheet

12 Dimensionalityreduction Complex spreadsheet Simple spreadsheet

13 Visualizing big data

14 GraphsonHadoop

15 Talktothesepeople

16 What about complex data?

17 Data Visualization

18 Data Visualization

19 Data Dimensionality reduction Data Visualization

20 Data Visualization

21 Data Musicvideos

22 Data Gastronomification

23 Tradeoffs: Scalesofmeasurement Ratiodata Intervaldata Ordinaldata Nominaldata Visuals,music, andfoodcanall doeachlevel Ratioand intervalare moredifficult withfood

24 Other benefits of music videos and gastronomification

25 Application:Complexdata fornon technicalaudiences Situation: Peopleunderstandbargraphs,butthey areunivariate. Graphscaneasilyrepresentsix variables,butpeopledon'talways understand. Problem:Graphsaretooabstract Solution:Musicandfood

26 Engagingyoungaudiences

27 Data drivenculture

28 Dataguacamole NewYorkCitymathtestscores 32districts 6grades(3rdthrough8th) 7years(2006to2012) Abowlforeachyear Levelsofingredientsbasedon relativetestscoresfordifferent schoolsindifferentgrades

29 Dataguacamole

30 Censusspices spices on itp

31 Modelingmobileadclicks Decisivemobileadvertisement targeting( Collectingdataon10%ofall mobileadtraffic Biddingalgorithmusespredictive modelingwithmachinelearning Representingdataastacostuning theirbiddingalgorithms

32 Decisive jalapeno=wifi (versus3g/4g) cheese=clickedad taco=adimpression meat typeofphone onions=shownad

33 Classifyinghealthcare eligibility BoozAllenHamilton Systemtodeterminehealthcare eligibilityofpeople Dataset: Eachrecordisaperson. Mostfeaturesaredates. Usingsheetmusic(ourspreadsheet basedsmalldatasolution)todetect incorrectclassifications

34 ThesearenotBoozAllen'sdata;wecan't showyouthose.

35 Whatabout realtimebigdata gastronomification?

36 ThreeV'sof BigData

37 Voluminous Big Complex data data data

38 Variety Volume

39 Variety Volume Velocity

40 HotKarot ( OpenSaucetechnology Connectstovariousdatasources Realtime

41

42 Ourrealtimesolution Demo

43 our open source libraries

44 ddr,ddpy,& sheetmusic

45 Music software Data software

46 Music software Data software

47 Mergingdatasoftware andmusicsoftware ddr:musicsequencerbackedbyr vectorsanddata.frames ddpy:midigeneratorbackedby pandasdataframes. sheetmusic:web basedmusic compositionbackedbygoogle Spreadsheets

48 geom_taco

49 Whywewrotegeom_taco Dependenceonhumanexpertslimits gastronomification OpenSauce( CensusSpices geom_tacousescommodity infrastructure Robust,scalable,inexpensive

50 geom_taco Ageomforggplot Non visualaesthetics Fill Salsa Guacamole...

51 End

52 Jobs Salespersons JavaEngineers TestEngineers

53 ThomasLevine BrianAbelson

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