Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
basic of data visualization and d3.js demonstra...
Search
muddydixon
March 28, 2023
Programming
150
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
basic of data visualization and d3.js demonstration
muddydixon
March 28, 2023
More Decks by muddydixon
See All by muddydixon
企業と勉強会
muddydixon
0
100
study before deeplearning @YAPC2015
muddydixon
0
140
d3.js demonstration
muddydixon
0
110
data visualization @html5study
muddydixon
0
110
Time Series Prediction@JubatusCasualTalk2
muddydixon
0
96
Perl for Visualization@YAPC2013
muddydixon
0
120
Time Series Analysis by JavaScript @LLMatsuri2013
muddydixon
0
140
How to create my own Hadoop MultipleInput@HadoopCodeReading8
muddydixon
0
93
BigDataAnalytics beginning by mongo-hadoop@MongoTokyo2012
muddydixon
0
70
Other Decks in Programming
See All in Programming
GKE で Pod の見方を変えたら、スケールアウト時の挙動を真に捉えられた話
stkk
0
120
Can LLMs Replicate 4 Years of Compose Migration? Exploring the boundaries of automation with 279 XML files from a real product
makun
0
140
新卒PdEのリアル
ryu1013
1
490
ゲームコントローラやキーボードのファームウェアをSwiftで書く
kishikawakatsumi
1
230
『寄り添うラジオ』をAIで作る 体験価値から逆算した、会話しないUXと品質設計
theoriatec2024
3
180
AI Agent時代のリアーキテクチャ戦略と実践
hokaccha
9
4.2k
Omarchy Tokyo やると聞いて UMPC 買ってセットアップしてきた
mtsmfm
0
140
個人開発基盤をまるごとCloudflareに引っ越して爆速で総合的体験を向上させた話
tinykitten
0
180
AHC070解法紹介
eijirou
0
110
Kiroで創り、AgentCoreで繋ぐ!AWSで実践する「AI-DLC」から「AIエージェント統合」までの最新地図
licux
4
670
仕様駆動開発による爆速プロダクト開発 / Bakusoku Spec Driven Development
kobakei
0
110
高専キャリア LT 発表内容
crysta1221
6
5.7k
Featured
See All Featured
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Odyssey Design
rkendrick25
PRO
2
800
Raft: Consensus for Rubyists
vanstee
141
7.7k
SEO for Brand Visibility & Recognition
aleyda
0
4.7k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
Docker and Python
trallard
47
4.2k
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
390
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.9k
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
4
650
We Have a Design System, Now What?
morganepeng
55
8.3k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
380
First, design no harm
axbom
PRO
2
1.3k
Transcript
σʔλՄࢹԽͷجૅ ͱ %ͷσϞ σʔλՄࢹԽษڧձ IUUQXXX[VTBBSDPNFWFOU !NVEEZEJYPO χϑςΟגࣜձࣾ౻େ
!NVEEZEJYPO "NVEEZEJYPO #NVEEZEJYPO ! /PEFKT 1FSM 7JTVBMJ[BUJPO 4UBUJTUJDT 5JNF4FSJFT /FVSBM/FUXPSL
ࠓ͢͜ͱ σʔλՄࢹԽͱ σʔλՄࢹԽͷཧ۶ 8FCͰͷσʔλՄࢹԽͷ͍͍ͱ͜Ζ
%KTͱ ࣭ٙԠ
ࠓͳ͞ͳ͍͜ͱ ͋Μͪ͞Μ͕ϒϩάͰॻ͍ͨ'"2 ౷ܭͷ ਏ͔ͬͨ
ՄࢹԽͱ
σʔλՄࢹԽͱ The main goal of data visualization is its ability
to visualize data, communicating information clearly and effectivelty. Vitaly Friedman $ σʔλՄࢹԽͷతɺσʔλΛՄࢹԽ͠ɺ ใΛ໌͔֬ͭޮతʹ͑Δ͜ͱͰ͋Δ $
ͭ·Γ % ใΛ͑ͦͼΕ͍ͯΔՄࢹԽ % ໌֬Ͱͳ͍ՄࢹԽ % ޮతͰͳ͍ՄࢹԽ ! ্هʮՄࢹԽʯͰͳ͍
ՄࢹԽͷఆٛ ใ͕ࢹ֮తͳදݱʹஔ͖͑ΒΕ͍ͯΔ ใ͕໌֬ʹ͑ΒΕ͍ͯΔ ใ͕ޮతʹ͑ΒΕ͍ͯΔ & ' ( )
ͳͥՄࢹԽ͢ΔͱΑ͍͔ ࢹ֮తͳදݱࢹ֮ه߸ ޙड़ ͷΞφϩδʔ େ͖͞ɺҐஔɺೱ୶ɺ৭ɺ͖ͳͲͷɺܦݧతɾ ೝతͳطଘࣝΛޮతʹར༻ͨ͠ཧղͷଅਐ ! ͷେখɹɹ⾣ߴ͞ͷେখ ͷେখɹɹ⾣໘ੵͷେখ ্ঢɹɹ⾣ӈ্͕Γͷ͖
Լ߱ɹɹ⾣ӈԼ͕Γͷ͖ ಉ͡ΧςΰϦ⾣ಉ͡৭
ೝػೳɾܦݧΛϑϧʹ͏ 4FQBM-FOHU 4FQBM8JEU 1FUBM-FOHU 1FUBM8JEUI 4QFDJFT
TFUPTB TFUPTB TFUPTB TFUPTB TFUPTB WFSTJDPMPS WFSTJDPMPS WFSTJDPMPS WFSTJDPMPS WFSTJDPMPS WJSHJOJDB WJSHJOJDB WJSHJOJDB WJSHJOJDB WJSHJOJDB ΈΜͳ͍͖ͩ͢JSJT
͜ΕΈͯ Θ͔ΔΘ͚Ͱ ͳ͍Ͱ͢ΑͶʁ
౷ܭྔͰදݱ 4FQBM -FOHUI 4FQBM 8JEUI 1FUBM -FOHUI 1FUBM 8JEUI .JO
TU 2V .FEJBO .FBO SE 2V .BY
͜ΕͳΒ ͳΜͱ͔
ਤܗͷܦݧɾೝೳྗΛར༻
ਤܗͷܦݧɾೝೳྗΛར༻ w ͷ෯͕͍ w தԝ্͕ʹภ͍ͬͯΔ w େ͖ͭ͘ͷๆ͕͋Δ w தԝ͕एׯɺ্ ʹภΓ
w ๆ͕ͭɾɾɾʁ w ۉʹ w தԝ͕͓͓Α ͦத৺ w ଞͷଐੑͱൺֱͯ͠ ͷ෯͕খ͍͞ w ֎Ε͕ͪΒ΄Β
ʮೝʯ͕ʮѲʯΛՃ 4FQBM -FOHUI 4FQBM 8JEUI 1FUBM -FOHUI 1FUBM 8JEUI .JO
TU 2V .FEJBO .FBO SE 2V .BY
ͦͷଞʹ ശͻ͛ਤͷΘΓʹ ώετάϥϜ ώετάϥϜΛछผຖʹ දݱ
ॏཁͳ͜ͱ
σʔλՄࢹԽͱ ࠶ܝ The main goal of data visualization is its
ability to visualize data, communicating information clearly and effectivelty. Vitaly Friedman $ σʔλՄࢹԽͷతɺσʔλΛՄࢹԽ͠ɺ ใΛ໌͔֬ͭޮతʹ͑Δ͜ͱͰ͋Δ $
ՄࢹԽͷཧ
σʔλՄࢹԽͷॻ੶
ଞʹͨ͘͞Μ ͋Γ·͕͢ ಡΊ͍ͯ·ͤΜ
(SBNNBSPG(SBQIJDT 4:45"5ͷ։ൃऀ HHQMPUͷ։ൃʹ େ͖ͳӨڹΛ༩ ͑ͨॻ੶ EPSZPLVKJOઌੜ ಡΜͰΔ
σʔλՄࢹԽͷϓϩηε σʔληοτ มԽ ॲཧ ईԽॲཧ
౷ܭॲཧ زԿॲཧ ࠲ඪܥॲཧ ০ॲཧ ՄࢹԽ
ՄࢹԽͰҙࣝ͢Δ֓೦ σʔλ σʔλม ࢹ֮ม ࢹ֮ه߸ ՄࢹԽ σʔληοτ ༷ʑͳϑΟʔϧυͷ͔ΒͳΔ ϨίʔυΛෳؚΉσʔλ܈ มநग़ɾॲཧɾ
ईԽॲɾཧ౷ܭॲཧ͕ࡁΜͩͷ ՄࢹԽରͱ͢ΔϑΟʔϧυΛ ؚΉσʔλɻͻͱͭͻͱ͕ͭҙຯΛ ࣋ͬͨ୯Ґ ྫɿ42-ͷߦ ϑΟʔϧυͷͦͷͷ ϝδϟʔ ΧςΰϦม σΟ ϝϯδϣϯ ɻͻͱͭͻͱ͕ͭࢹ֮ม ʹஔ͞ΕΔ ࢹ֮දݱͻͱͭͻͱͭΛࢦ͢ ҐஔαΠζɺ৭ɺ͖ɺڧ ಁ໌ ɾ࠼ɾ໌ ɺςΫενϟͳͲ ࢹ֮มΛूͤͨ͞ه߸ ԁɺۣܗɺހɺཱମͳͲ σʔληοτͷσʔλʹରԠ͢Δ ه߸ͷू߹ʹΑΔՄࢹԽ ରԠ ରԠ ରԠ
ՄࢹԽͷ֓೦ ཧ۶্ 4FQBM-FOHU I 4FQBM8JEUI 1FUBM-FOHUI 1FUBM8JEUI 4QFDJFT
TFUPTB TFUPTB TFUPTB TFUPTB TFUPTB WFSTJDPMPS WFSTJDPMPS WFSTJDPMPS ย Ֆห छผ TFUPTB ย ൺྫई Ֆห ൺྫई छผ TFUPTB ໊ٛई ย ൺྫई Ґஔ Ֆห ൺྫई Ґஔ छผ ໊ٛई ৭ 4FQBM-FOHUI 1FUBM-FOHUI 4QFDJFT TFUPTB TFUPTB TFUPTB TFUPTB TFUPTB WFSTJDPMPS WFSTJDPMPS WFSTJDPMPS ย Ֆห छผ σʔληοτ σʔληοτ มநग़ σʔλ σʔλม ࢹ֮ม ࢹ֮ه߸ ՄࢹԽ ରԠ ରԠ ରԠ
σʔλมࢹ֮ม ย෯ɿY࠲ඪɺՖห෯ɿZ࠲ඪɺछผɿ৭ ͱͭͷσʔλมɿࢹ֮มΛରԠ
σʔλมࢹ֮ม ࢄਤͩͱͭ͘Β͍ͷมදݱՄೳ ˞ͨͩ͠ɺTFUPTBͷಁ໌͕ߴ͘ࢹೝੑ͕͍ͷͰɾɾɾ
σʔλมࢹ֮ม ࢄਤͩͱͭ͘Β͍ͷมදݱՄೳ ˞ͨͩ͠ɺTFUPTBͷಁ໌͕ߴ͘ࢹೝੑ͕͍ͷͰɾɾɾ σʔλมͷʮʯͱʮ໘ ੵʯΛରԠ͚Δʂʂ ʮܘʯΛରԠ͚ͯ͠· ͏ͱ໘ੵࣗ͞ΕΔʂ
ࢹ֮มʹ͍ͭͯ
ࢹ֮มͷಛੑ બੑɿ৭ɺํͳͲ ࢹ֮ม͕ҟͳΔ߹ɺหผ͕Մ ೳ ؔ࿈ੑɿ৭ɺܗঢ়ͳͲ ࢹ֮ม͕ҟͳΔ߹ɺಉҰάϧʔ ϓͷೝ͕ࣝՄೳ ఆྔੑɿαΠζɺҐஔͳͲ ࢹ֮ม͕ҟͳΔ߹ɺͭͷࠩ Λࣝผ͢Δ͜ͱ͕Մೳ
ॱংੑɿڧ͞ ಁ໌ɺ࠼ ͳͲ ࢹ֮ม͕ҟͳΔ߹ɺॱংͷେ খΛࣝผ͢Δ͜ͱ͕Մೳ
ࢹ֮มͷಛੑ ͜Εܝࡌ͢ΕΑ͔ͬͨͱল͍ͯ͠·͢ %FTJHOJOH%BUB7JTVBMJ[BUJPOT 0`3&*--:
ࢹ֮มͷಛੑ ਪ ͜Εܝࡌ͢ΕΑ͔ͬͨͱল͍ͯ͠·͢ %FTJHOJOH%BUB7JTVBMJ[BUJPOT 0`3&*--: ΧςΰϦΛࣔ͢ͳΒҰ ΧςΰϦΛࣔ͢ͳΒҰ ςΫενϟܥਤ͕ࡶʹ ͳΓ͍͢
ՄࢹԽͷछྨબఆ ͜ΕEPSZPLVKJO͞ΜͷεϥΠυͷํ͕ૉ Β͍͠ͷͰޙड़
8FCͰͷՄࢹԽͷ͍͍ͱ͜Ζ
ར 8FCͰڞ༗͠ɺଟ͘ͷਓʹσʔλʹؚ·Ε Δࣄ࣮Λಧ͚Δ͜ͱ͕Ͱ͖Δ ϚεΩʔϘʔυʹΑΔΠϯλϥΫγϣϯ ͕ར༻Ͱ͖Δ Ξχϝʔγϣϯ͕ར༻Ͱ͖Δ
%KT
%KTͱ 63- IUUQEKTPSH %BUB%SJWFO%PDVNFOUT EBUBʹج͍ͮͯIUNMTWHEPDVNFOUPCKFDUͷ ॲཧΛߦ͏ɺͱ͍͏ίϯηϓτ 47(ૢ࡞ ॲཧ ՄࢹԽϢʔςΟϦςΟ
ͷ૯߹+BWB4DSJQUϥΠϒϥϦ 47(TFMFDUPSBUUSTUZMF ॲཧTDBMFOFTUBSSBZNBUI ՄࢹԽϢʔςΟϦςΟTDBMFBYJTMBZPVU
۩ମྫ <!doctype html>! <html lang="ja">! <head>! <meta charset="utf8">! <title>d3 introduction</title>!
<style>! .axis line, .axis path { fill: none; stroke: grey; }! </style>! </head>! <body>! ! <div>! <p>0th paragraph</p>! <p>1st paragraph</p>! <p>2nd paragraph</p>! </div>! ! <script type="text/javascript" charset="utf8" src="../components/d3/d3.min.js"></script>! <script type="text/javascript" charset="utf8" src="./introduction.js"></script>! </body>! </html>
۩ମྫ ଐੑελΠϧૢ࡞ var paragraphs = d3.select('body').selectAll('p');! paragraphs.style({background: 'cyan'});
۩ମྫ ଐੑελΠϧૢ࡞ var paragraphs = d3.select('body').selectAll('p');! var pdata = [!
{text: "modified: 0th paragraph"},! {text: "modified: 1th paragraph"},! {text: "modified: 2th paragraph"}! ];! paragraphs.data(pdata).text(function(d){ return d.text; }); EBUB ͰσʔλΛඥ͚Δ ͻͱͭͷQʹରͯ͠ɺͻͱͭͷ σʔλ BUUS UFYU TUZMF ͳͲҾʹඥ͚ΒΕͨσʔλΛ औΓɺͦΕʹԠͨ͡ॲཧΛߦ͏
۩ମྫ σʔλʹجͮ͘Ճ var pdata = d3.range(0, 5)! .map(function(id){! return {!
id: id,! text: id + "th paragraph"! };! });! ! paragraphs.data(pdata).enter()! .append('p')! .text(function(d){! return d.text;! }); ૿͑ͨʂ
۩ମྫ σʔλʹجͮ͘Ճ Ͱ͔ͭ͠૿͑ͯͳ͍ʂ σʔλͷ͞ QEBUBMFOHUI ͳ͔ͥʁ طଘͷQ ࠩ⾣͜Ε͕૿͑ͨʂ
σʔλ
var pdata = d3.range(0, 5)! .map(function(id){! return {! id: id,!
text: id + "th paragraph"! };! });! ! paragraphs.data(pdata).enter()! .append('p')! .text(function(d){! return d.text;! }); ۩ମྫ σʔλʹجͮ͘Ճ FOUFS ʹΑͬͯɺσʔλ%0.Λॲཧͷରʹ͢Δ
۩ମྫ σʔλʹجͮ͘আ var lessData = pdata.slice(0, 2);! paragraphs.data(lessData).exit().remove(); ʮEBUB FYJU
ʯ FYJU ʹΑͬͯɺ%0.σʔλΛॲཧͷରʹ͢Δ σʔλ ࠩ⾣͜Ε͕SFNPWF ͨ͠ طଘͷQ
4FMFDUJPO TFMFDU TFMFDU"MM Ͱऔಘͨ͠%0. BQQFOE ʹΑͬͯՃͨ͠%0.Λ TFMFDUJPOͱ͍͍·͢ EBUB ʹΑΓσʔλΛඥ͚Δ͜ͱ͕Ͱ͖ ·͢
BUUS TUZMF UFYU ͳͲͰඥ͚ΒΕ ͨσʔλΛར༻ͯ͠%0.Λॲཧ͢Δ͜ͱ͕ Ͱ͖·͢
%BUB %SJWFO %PDVNFOUT
4FMFDUJPO ඥ͚ͨσʔλ طଘͷ%0. FYJU TFMFDUJPO FOUFS
4FMFDUJPO ྫ͑ ඥ͚ͨσʔλ طଘͷ%0. FYJU TFMFDUJPO FOUFS ଐੑɾελΠϧɾςΩ ετͷมߋͳͲΛߦ͏ ৽نʹ%0.ΛՃ
͠ɺಉ࣌ʹଐੑɾελ ΠϧɾςΩετΛηο τ͢Δ طଘͷ%0.Λআ͠ ͨΓɺಁ໌Λ্͛ͨ ΓΛߦ͏
࡞ͬͯΈΑ͏ʂ ยΛߴ͞ͱ͢Δάϥϑ
༻ҙ͢Δͷ ίʔυIUUQTHJTUHJUIVCDPN NVEEZEJYPO 8FCαʔό IUUQCMPHLBNJQPOFUFOUSZ ͖ͳαʔόΛ্ཱ͍ͪ͛ͯͩ͘͞
IUNM <!doctype html>! <html lang="ja">! <head>! <meta charset="utf8">! <title>d3 scatter
plog</title>! <style>! .axis line, .axis path { fill: none; stroke: grey; }! </style>! </head>! <body>! <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>! <script type="text/javascript" charset="utf8" src="./iris.js"></script>! </body>! </html>
+BWB4DSJQUσʔλͷಡΈࠐΈ var WIDTH = 500, HEIGHT = 500, margin =
50;! var width = WIDTH - 2 * margin, height = HEIGHT - 2 * margin;! var key = 'Sepal.Length';! ! // iris.csv ϑΝΠϧΛಡΈࠐΉ! d3.csv(! "./iris.csv",! // ߦͷܕΛमਖ਼! function(d){! for(var attr in d){! if(! isNaN(Number(d[attr]))){! d[attr] = +d[attr];! }! return d;! }! },! // σʔλΛऔಘ! function(err, data){!
+BWB4DSJQU47(ཁૉͷ࡞ // σʔλΛऔಘ! function(err, data){! ! // svgཁૉΛՃ! var svg
= d3.select('body').append('svg').attr({! width: WIDTH,! height: HEIGHT! });! // ϚʔδϯΛ֬อͯ͠ɺ࣠ͳͲΛදࣔͰ͖ΔΑ͏ʹ͢Δ! var main = svg.append('g').attr({! width: width,! height: height,! transform: "translate("+margin+","+margin+")"! });! ! // ৭ͷई! var color = d3.scale.category10();
+BWB4DSJQUσʔλͷܗͱཧ // σʔλΛೖΕࢠʹ͢Δ! var speciesData = d3.nest()! // छྨ͝ͱʹྨ͢ΔΩʔΛࢦఆ! .key(function(d){
return d.Species;})! // ग़ྗΛΩʔʹϚονͨ͠ྻ͔Βɺฏۉʹมߋ! .rollup(function(values){! return d3.mean(values, function(d){ return d[key]; });! })! // ΛྻͰऔಘ! .entries(data);! ! // छྨͷΩʔҰཡΛऔಘ! var species = speciesData.map(function(d){ return d.key; });! ! // શମͷߴ͞ͷൣғΛऔಘ! var domain = d3.extent(data, function(d){ return d[key]; });!
+BWB4DSJQUई࡞ // y࠲ඪͷईΛऔಘ! var yScale = d3.scale.linear()! // มޙͷൣғ(Ҭ)! .range([0,
height])! // มલͷൣғ(ఆٛҬ)! .domain([0, domain[1]]);! ! // x࠲ඪͷईΛऔಘ! var xScale = d3.scale.ordinal()! // มޙͷൣғ(Ҭ)! .rangeBands([0, width], .2)! // มલͷൣғ(ఆٛҬ)! .domain(species);
+BWB4DSJQUΛඳը // (ͷάϧʔϓ)ཁૉΛ࡞! var bar = main.selectAll('g')! .data(speciesData)! .enter()! .append('g')!
.attr({! transform: function(d){! return "translate("+xScale(d.key)+","+height+")";! }! });! ! // Λඳը! bar.append('rect').attr({! // ۣܗͷߴ͞! height: function(d){ return yScale(d.values); },! // ۣܗͷҐஔ! y: function(d){ return -yScale(d.values); },! // ۣܗͷ෯! width: xScale.rangeBand(),! // ۣܗͷ৭! fill: function(d){ return color(d.key); }! });!
+BWB4DSJQUʹΛඳը // (ͷάϧʔϓ)ཁૉΛ࡞! var bar = main.selectAll('g')! .data(speciesData)! .enter()! .append('g')!
.attr({! transform: function(d){! return "translate("+xScale(d.key)+","+height+")";! }! });! ! // Λඳը (લड़)! // Λඳը! bar.append('text')! // ςΩετྨͨ࣌͠ͷΩʔ! .text(function(d){! return d.values.toFixed(2);! })! .attr({! // ҐஔΛͷ্ʹ! dy: function(d){ return - yScale(d.values); },! dx: xScale.rangeBand() / 2,! fill: 'black'! }).style('text-anchor', 'middle');
+BWB4DSJQU࣠ͷඳը // x࣠ੜͷϢʔςΟϦςΟ! var xAxisSvg = d3.svg.axis().scale(xScale);! // y࣠ੜͷϢʔςΟϦςΟ! var
yAxisSvg = d3.svg.axis().scale(yScale.copy()! .range([height, 0])).orient('left');! // x࣠Λੜ! var xAxis = main.append('g').call(xAxisSvg).attr('class', 'axis')! .attr("transform", "translate(0,"+height+")");! // y࣠Λੜ! var yAxis = main.append('g').call(yAxisSvg).attr('class', 'axis');! ! // y࣠ͷϥϕϧΛهड़! main.append('text').text(key).attr({! transform: "translate(-30,"+(height / 2)+") rotate(-90)"! });
·ͱΊ
σʔλՄࢹԽͱ The main goal of data visualization is its ability
to visualize data, communicating information clearly and effectivelty. Vitaly Friedman $ σʔλՄࢹԽͷతɺσʔλΛՄࢹԽ͠ɺ ใΛ໌͔֬ͭޮతʹ͑Δ͜ͱͰ͋Δ $
ՄࢹԽ͕Ռׂ͖ͨ͢ ࢹ֮දݱͱ͍͏ʮܦݧతʯʮೝతʯʹཧղ Λαϙʔτ͢Δදݱʹม͢Δͷ͕ՄࢹԽ σʔλΛه߸ʹɺσʔληοτΛՄࢹԽʹม ͢Δ ʮΑ͘ΘΕΔՄࢹԽʯͦΕ͚ͩͰཧղ͕ ਐΉՄࢹԽ ཧղ્͕·ΕͨΒɺͦΕ͢ͰʹՄࢹԽ͡Ό ͳ͍ʂ
σʔλՄࢹԽͷϚϯτϥ Overview First, Zoom and Filter, Then Details-on-Demand Overview First,
Zoom and Filter, Then Details-on-Demand Overview First, Zoom and Filter, Then Details-on-Demand Ben Shneiderman $