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Interaktywna wizualizacja danych w d3.js
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Piotr Migdał
January 25, 2016
Programming
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Interaktywna wizualizacja danych w d3.js
warsztaty KFnrD w ICM UW
Piotr Migdał
January 25, 2016
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Transcript
Interaktywna wizualizacja danych w d3.js Piotr Migdał warsztaty KFnrD ICM,
25-29 sty 2016
dr fizyki kwantowej data science freelancer ICFO, Barcelona (grudzień 2014)
None
wykres słupkowy - William Playfair (1786) wykres punktowy - Francis
Galton (wiek później)
cholera w Londynie - John Snow (1854)
Dmitri Mendeleev | Periodic Table of Elements (1869) układ okresowy
- Dimitri Mendeleev (1869)
Wykresy • Jakie znacie? • Jakich używacie? (graficzne reprezentacje danych)
3.14159
Dobry wykres czy zły?
http://darkhorseanalytics.com/blog/data-looks-better-naked
Ale… http://www.maartenlambrechts.be/to-the- point-7-reasons-you-should-use-dot-graphs
http://www.gapminder.org
None
pakiet R: ggplot2 http://blog.echen.me/2012/01/17/ quick-introduction-to-ggplot2 http://r4stats.com/examples/graphics-ggplot2
https://matury.shinyapps.io/histogramy/
None
None
D3.js • algorytmiczne • minimalistyczne • de facto (świetny) standard
wizualizacji „perfection is finally attained not when there is no longer anything to add, but when there is no longer anything to take away” Antoine de Saint-Exupéry
http://exposedata.com/parallel/
http://setosa.io/ev/ordinary-least-squares-regression
http://bl.ocks.org/mbostock/7322386
http://vadim.ogievetsky.com/IntroD3/#35
homework quantum-field-theory wavefunction operators schroedinger-equation quantum-information hilbert-space uncertainty-principle mathematical-physics quantum-interpretations
entanglement spin angular-momentum measurement-problem condensed-matter particle-physics photons electromagnetism atomic-physics probability commutator statistical-mechanics harmonic-oscillator double-slit-experiment special-relativity classical-mechanics quantum-computer solid-state-physics electrons wavefunction-collapse wave-particle-duality potential http://stared.github.io/tagoverflow/
http://p.migdal.pl/kfnrd_viz/mapa.html
Co będzie? • co wizualizować, jak i dlaczego? • JavaScript
(nie trzeba znać przed) • rozgrzewka: układ okresowy po Twojemu • praca nad Waszym projektem
http://sebastianjaszczur.github.io/www-similarity/
http://m4tx.github.io/linux-distro-timeline
Lektury • Edward Tufte, The Visual Display of Quantitative Information
• Willard C. Brinton, Graphic Presentation (1939) https://archive.org/stream/ graphicpresentat00brinrich#page/n0/mode/thumb
Moje ściągawki • http://warsztatywww.wikidot.com/ www10:wizualizujemy-wikipedie • http://smarterpoland.pl/index.php/2014/06/ metawstep-do-wizualizacji-danych-w-d3-js/ • https://github.com/DELabUW/szkola-letnia-2015/
blob/master/zajecia/ deser_sztuka_robienia_wykresow.ipynb
Dla wszystkich • http://www.fallen.io/ww2/ (~20 min) • mogę pomóc z:
• R ggplot2 • Python: Pandas/Seaborn