132
淡江建築 2016 10.9 10.16

建築與都市的黏著劑:開放資料 (淡江建築 2016.10.9)

Embed Size (px)

Citation preview

  • 2016 10.9 10.16

  • https://www.youtube.com/watch?v=_Nua3Cjdik0

  • DSP OpenData

    Tim HongE-mail: [email protected] https://tw.linkedin.com/in/hongtim

    Geek MakerSeeker

    App 3+yearsData RD 2 Startup1 NPO2 Apps 1st

    2016 Intel pre-IoT Roadshow London

    2015 Emirates Travel Hackathon SF

    2015 AT&T Mobile App Hackathon - Bay Area (IoT)

    2015 HackingEDU

    2015 Integrate 2015 Hackathon

    2014 Hackathon

    2013 CfT Open data day Hackathon

    2013 G0V Hackathon

  • DATA / URBAN DATA

  • WHAT IS DATA?

  • WHAT IS DATA?

  • WHAT IS DATA?

  • WHAT IS DATA?

  • http://upload.lsforum.net/users/public/q41674nba2k13%208-07p190.jpg

  • Geneva

  • http://youtu.be/ZSt9tm3RoUU

    http://youtu.be/ZSt9tm3RoUU

  • https://www.youtube.com/watch?v=dOlLm5V0HFo

  • https://www.youtube.com/watch?v=tLqPEzpAR_4

  • Words or Fact?

  • DATA / URBAN DATA

  • >>....world

  • >>>....world

  • Through the actual city data mapping urban graphic Population

    lining

    amount

    >>>....world

  • Through the actual city data mapping urban graphic Population

    lining

    amount

  • Through the actual city data mapping urban graphic

    Medical (main hospital)

    hospital

  • Through the actual city data mapping urban graphic

    Education (kindergarten ~ University)

  • Through the actual city data mapping urban graphic

    Security (Police, fire stations, monitors, accident)

  • Gotta Catch em All~~~

  • HOW

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

    80%

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

    80%

  • http://data.gov.tw/

    Gotta Catch em All~~~

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

    80%

  • 20,000

  • THERE IS NO EASY WAY

    PNGCSVXMLPDFXLS

    1051005105/10/510510 NAnull

    1051005

  • vs

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

    80%

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

    80%

  • vs

  • Why

    WhyWhy

    WhyWhy

    What

    What

    What

    What

    WhereHow

    WhatAnswer

  • DATA ENGINEERING

    Extract, transform, load(ETL) (ETL)

  • XMLCSVJSON

    Extensible Markup LanguageXML

    Comma-Separated ValuesCSV

    JSONJavaScript Object Notation

  • Application Programming InterfaceAPI

    API

    A: API ? B:A: JsonB OS: ...

    ()

  • XMLCSV

    Extensible Markup LanguageXML

    Comma-Separated ValuesCSV

  • SHOW TO OTHERS

  • https://carto.com/

    https://timdream.org/wordcloud/

    https://carto.com/

  • https://goo.gl/tsk4i

    Geocode by Awesome Table

    https://goo.gl/7NzfZX

    https://goo.gl/tsk4i

  • https://goo.gl/7NzfZX

  • 1 23

  • https://carto.com/

  • JSONJSONJavaScript Object Notation

  • googlejson

    Paul Gambill https://goo.gl/zb6OQPCode https://goo.gl/TaWGNN

    https://goo.gl/zb6OQPhttps://goo.gl/TaWGNN

  • API 1 2

  • https://timdream.org/wordcloud/http://ckipsvr.iis.sinica.edu.tw/

  • https://timdream.org/wordcloud/

  • 1691 531

    1108 528

    963 521

    853 493

    844 480

    795 473

    787 460

    780 456

    739 452

    670 450

    642 443

    613 431

    610 425

    603 424

    588 414

    568 413

    567 405

    543 399

    537 373

    532 366

  • 2971 899

    2811 860

    2646 822

    2560 815

    1954 814

    1834 813

    1809 803

    1706 797

    1597 778

    1514 777

    1505 728

    1503 694

    1400 685

    1372 654

    1276 636

    1275 629

    1022 618

    998 604

    984 596

    909 595

  • 1691 531

    1108 528

    963 521

    853 493

    844 480

    795 473

    787 460

    780 456

    739 452

    670 450

    642 443

    613 431

    610 425

    603 424

    588 414

    568 413

    567 405

    543 399

    537 373

    532 366

    2971 899

    2811 860

    2646 822

    2560 815

    1954 814

    1834 813

    1809 803

    1706 797

    1597 778

    1514 777

    1505 728

    1503 694

    1400 685

    1372 654

    1276 636

    1275 629

    1022 618

    998 604

    984 596

    909 595

    302 43

    200 41

    156 41

    135 40

    110 39

    91 38

    90 38

    83 37

    82 36

    80 36

    69 34

    69 34

    61 33

    61 33

    56 32 OS

    55 32

    51 32

    49 32

    47 31

    44 30

  • 662 745

    vs

  • Team Work

  • SQL 0~

    Python

  • https://goo.gl/T5CDw7

  • https://goo.gl/T5CDw7

  • https://goo.gl/T5CDw7

  • https://goo.gl/T5CDw7

  • https://goo.gl/T5CDw7

  • https://goo.gl/T5CDw7

  • 20

    http://bit.ly/2016scdc

  • Statistics are like bikinis.

    What they reveal is suggestive,

    but what they conceal is vital. -Aaron Levenstein, Business Professor at Baruch Colleg

  • \