Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Vue.js + D3.jsでグラフを描く
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Tatsuya Miyado
May 23, 2018
Technology
1
2.3k
Vue.js + D3.jsでグラフを描く
Vue.js Tokyo v-meetup #7 LTスライド
Tatsuya Miyado
May 23, 2018
Tweet
Share
Other Decks in Technology
See All in Technology
Amazon S3 Vectorsを使って資格勉強用AIエージェントを構築してみた
usanchuu
4
450
Embedded SREの終わりを設計する 「なんとなく」から計画的な自立支援へ
sansantech
PRO
3
2.6k
コミュニティが変えるキャリアの地平線:コロナ禍新卒入社のエンジニアがAWSコミュニティで見つけた成長の羅針盤
kentosuzuki
0
130
Context Engineeringが企業で不可欠になる理由
hirosatogamo
PRO
3
650
Oracle Base Database Service 技術詳細
oracle4engineer
PRO
15
93k
広告の効果検証を題材にした因果推論の精度検証について
zozotech
PRO
0
210
仕様書駆動AI開発の実践: Issue→Skill→PRテンプレで 再現性を作る
knishioka
2
680
Cloud Runでコロプラが挑む 生成AI×ゲーム『神魔狩りのツクヨミ』の裏側
colopl
0
120
レガシー共有バッチ基盤への挑戦 - SREドリブンなリアーキテクチャリングの取り組み
tatsukoni
0
220
[CV勉強会@関東 World Model 読み会] Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models (Mousakhan+, NeurIPS 2025)
abemii
0
150
SREが向き合う大規模リアーキテクチャ 〜信頼性とアジリティの両立〜
zepprix
0
470
OpenShiftでllm-dを動かそう!
jpishikawa
0
140
Featured
See All Featured
Java REST API Framework Comparison - PWX 2021
mraible
34
9.1k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
290
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
1
1.3k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
3.9k
Done Done
chrislema
186
16k
Designing for Performance
lara
610
70k
The Pragmatic Product Professional
lauravandoore
37
7.1k
Organizational Design Perspectives: An Ontology of Organizational Design Elements
kimpetersen
PRO
1
420
Utilizing Notion as your number one productivity tool
mfonobong
3
220
The browser strikes back
jonoalderson
0
390
Skip the Path - Find Your Career Trail
mkilby
0
57
Transcript
7VFKT %KTͰ άϥϑΛඳ͘ 7VFKT5PLZPWNFFUVQ !IPHFTVLF@
!IPHFTVLF@
7VFKTͰάϥϑΛ ඳ͖͍ͨ
%KTΛ͍͍ͨ
7VFKT %KTͬͯ Ͱ͖Δͷʁ
ͬͯΈ·ͨ͠
%&.0 IUUQHSBQIIPHFTVLFOFU
·ͣ7VFΛΘͣʹॻ͍ͯΈΔ const dataset = [ 10, 20, 5, 3, 8,
40, 20, 35]; const w = 200, h = 100, margin = 5; const svg = d3.select(‘.graph').append('svg') .attr('width', w + margin).attr('height', h + margin); const xScale = d3.scaleLinear().domain([0, dataset.length]).range([margin, w - margin]); const yScale = d3.scaleLinear().domain([d3.min(dataset), d3.max(dataset)]).range([h - margin, margin]); const xAxis = d3.axisBottom(xScale); svg.append('g') .attr('transform', `translate(0, ${h})`) .call(xAxis); const yAxis = d3.axisLeft(yScale); svg.append('g') .attr('transform', `translate(${margin}, 0)`) .call(yAxis); const d3line = d3.line() .x((d, i) => xScale(i)) .y(d => yScale(d)) .curve(d3.curveLinear); svg.append('path') .attr(‘d', d3line(dataset)) .style('stroke-width', 2) .style('stroke', 'steelblue') .style('fill', 'none');
͜ΕΛ7VF ίϯϙʔωϯτʹམͱ͠ࠐΉ
const dataset = [ 10, 20, 5, 3, 8, 40,
20, 35]; const w = 200, h = 100, margin = 5; const svg = d3.select(‘.graph').append('svg') .attr('width', w + margin).attr('height', h + margin); const xScale = d3.scaleLinear().domain([0, dataset.length]).range([margin, w - margin]); const yScale = d3.scaleLinear().domain([d3.min(dataset), d3.max(dataset)]).range([h - margin, margin]); const xAxis = d3.axisBottom(xScale); svg.append('g') .attr('transform', `translate(0, ${h})`) .call(xAxis); const yAxis = d3.axisLeft(yScale); svg.append('g') .attr('transform', `translate(${margin}, 0)`) .call(yAxis); const d3line = d3.line() .x((d, i) => xScale(i)) .y(d => yScale(d)) .curve(d3.curveLinear); svg.append('path') .attr(‘d', d3line(dataset)) .style('stroke-width', 2) .style('stroke', 'steelblue') .style('fill', 'none'); 9:࣠ͷඳը QBUIͷඳը 47(ཁૉͷੜ ೖྗσʔλΛඳըྖҬʹ Ϛοϐϯά͢Δؔͷੜ ݩͷίʔυ
:࣠ 9࣠ ύε ίϯϙʔωϯτׂ άϥϑશମ
<template> <path :d="d" /> </template> 5FNQMBUF 1BUI computed: { line
() { return d3.line() .x(d => this.xScale(d.x)) .y(d => this.yScale(d.y)) .curve(d3.curveLinear); }, d () { return this.line(this.data); }, }, 4DSJQU 47(ͷཁૉΛ ςϯϓϨʔτʹॻ͘ ύεͷ࠲ඪͱͳΔ EଐੑͷΛੜ
<template> <path :d="d" /> </template> 5FNQMBUF 1BUI computed: { line
() { return d3.line() .x(d => this.xScale(d.x)) .y(d => this.yScale(d.y)) .curve(d3.curveLinear); }, d () { return this.line(this.data); }, }, 4DSJQU ͱΛͲͷΑ͏ͳۂઢͰ ิؒ͢Δ͔ͷࢦఆ
computed: { xAxis () { return d3.axisBottom(this.xScale) .tickSizeInner(10) // ઢͷ͞ʢଆʣ
.tickSizeOuter(15) // ઢͷ͞ʢ֎ଆʣ .tickPadding(10) // ઢͱςΩετͷؒͷڑ .ticks(4); // ઢͷ }, }, mounted () { d3.select(this.$el).call(this.xAxis); }, 9:࣠ <template> <g :transform="`translate(${position.x}, ${position.y})`" /> </template> 5FNQMBUF 4DSJQU ࣠ΓΛ Hཁૉʹ ඳը͢Δ
computed: { xAxis () { return d3.axisBottom(this.xScale) .tickSizeInner(10) // ઢͷ͞ʢଆʣ
.tickSizeOuter(15) // ઢͷ͞ʢ֎ଆʣ .tickPadding(10) // ઢͱςΩετͷؒͷڑ .ticks(4); // ઢͷ }, }, mounted () { d3.select(this.$el).call(this.xAxis); }, ͜͜ 9:࣠ <template> <g :transform="`translate(${position.x}, ${position.y})`" /> </template> 5FNQMBUF 4DSJQU ࣠ͷΓʹ ؔ͢ΔઃఆΛߦ͏
Ξχϝʔγϣϯ w $44USBOTJUJPOͰQBUIΛΞχϝʔγϣϯͰ͖Δʁ w $ISPNFҎ֎Ͱ Ͱ͖ͳ͍ w ผͷखஈ͕ඞཁ
Ξχϝʔγϣϯ w 5XFFO-JUFKTΛ͏ w ͋ΔΛࢦఆͷඵͰɺࢦఆͷ·ͰঃʑʹมԽͤ͞Δ ػೳΛ࣋ͭ const hoge = {
a: 0 }; TweenLite.to(hoge, 3, { a: 100 }); AIPHFBAͷΛඵ͔͚ͯ·ͰมԽͤ͞Δ
Ξχϝʔγϣϯ w 5XFFO-JUFKTΛQBUIͷEଐੑʹ༻͍Δ͜ͱͰΞχϝʔγϣ ϯՄೳ <path d=“M55,120.20408163265304L66.22448979591837,245.71428571428572L77.44897959183673"></path> <path d="M55,239.59183673469386L66.22448979591837,22.244897959183675L77.44897959183673"></path> ࢀߟঢ়ଶͷτϥϯδγϣϯ7VFKTIUUQTKQWVFKTPSHWHVJEFUSBOTJUJPOJOHTUBUFIUNM
άϥϑͷඳը͕Ͱ͖ͨ
%&.0ͷίʔυ IUUQTHJUIVCDPNIPHFTVLFWVFEEFNP հͰ͖·ͤΜͰ͕ͨ͠ɺ πʔϧνοϓͷ࣮͍ͬͯ·͢
Ҏ্Ͱ͢ ͋Γ͕ͱ͏͍͟͝·ͨ͠