A 15 year journey through dataviz on the web

Maarten Lambrechts

From d3 v2 to svelte

CIMAT

INEGI

12 November 2021

2006

2011

<!DOCTYPE html>
<html>
  
<head>
    <script src="https://d3js.org/d3.min.js"></script>
</head>
  
<body>
    <svg id="viz">
    	// Let D3 add stuff here, and do things with it
    </svg>
</body>
<script>
    // Load data with D3
    d3.csv(...)
    // Transform data with D3
    var xScale = d3.scaleLinear()...
    // Add and update elements with D3
    d3.select("#viz").selectAll("circle")
    	.data(data)
    	.enter()
        .append("circle")
        ...
</script> 
  
</html>

D3.js for everything

country income life expectancy

Html

svg chart

D3

country income life expectancy

Html

svg chart

D3

d3.scaleLog()

d3.scaleLinear()

Use D3 functions to calculate positions, size, ... of visual elements

Import the D3 library

country income life expectancy

Html

svg chart

D3

d3.scaleLog()

d3.scaleLinear()

Use D3 to add elements to the DOM

Summer 2014

Winter 2014

setwd("~/Sites/ukkel")
read.csv("ukkel_tt.csv", sep=";")
ukkel <- read.csv("ukkel_tt.csv", sep=";")
head(ukkel)
colnames(ukkel) <- c("Jaar","1","2","3","4","5","6","7","8","9","10","11","12")
head(ukkel)
melt <- melt(ukkel, id=c("Jaar"))
library("reshape2", lib.loc="/Library/Frameworks/R.framework/Versions/3.1/Resources/library")
melt <- melt(ukkel, id=c("Jaar"))
head(melt)
colnames(melt) <- c("Jaar", "Maand", "T")
head(melt)
write.csv(melt, "temperature2.csv")

 + the Tidyverse

Shiny

2016

Explorable Explanations

Explorabl.es

Rock 'n Poll

Malofiej Infographic Awards (✝ 2021)

Information+ Conference

2017

2019

d3 modules

Scrollama

Flubber

npm

gulp

country income life expectancy

Html

svg chart

D3

Flubber

d3-

scale

country income life expectancy

Html

svg chart

D3

Flubber

d3-scale

d3.scaleLinear()

d3.scaleLog()

Only import functions you need from modules (install them from npm)

country income life expectancy

Html

svg chart

D3

Flubber

D3-scale

d3.scaleLinear()

d3.scaleLog()

Bundle and minify for efficiency

(this requires a build step)

Bundle

country income life expectancy

Html

svg chart

D3

Flubber

D3-scale

d3.scaleLinear()

d3.scaleLog()

D3 still interacts with the DOM to add elements

Bundle

2020

country income life expectancy

Html

svg chart

D3

React

d3-scale

country income life expectancy

Html

svg chart

D3

React

d3-scale

React is a framework that controls what elements are rendered and updated (it controls the DOM)

country income life expectancy

Html

svg chart

D3

React

d3-scale

d3.scaleLog()

d3.scaleLinear()

But you can still use D3 modules and functions in React

country income life expectancy

Html

svg chart

D3

React

d3-scale

d3.scaleLog()

d3.scaleLinear()

D3 scales can calculate the x and y positions, color, size, ... of visual elements

country income life expectancy

Html

svg chart

D3

React

d3-scale

d3.scaleLog()

d3.scaleLinear()

But in the end, it is React that adds these elements to the page, and interacts with them

country income life expectancy

Html

svg chart

D3

React

d3-scale

d3.scaleLog()

d3.scaleLinear()

This means that you loose the the things D3 can do with elements, like transition properties

<svg width={width} height={height}>
    <g className="bubbles-g">
        {countries.map((d) => { // For each item in the countries array, a circle is returned
            return (
                <circle
                  key={"bubble-" + d.Country}
                  cx={xScale(d.coosshare)} //All the scales are d3 scales
                  cy={yScale(d.bmpshare)}
                  r={sizeScale(d.total)}
                  fill={colorScale(d.Region)}
                  stroke={
                    activeCountry === ""
                      ? highlightcountries.length === 0
                        ? "white"
                        : highlightcountries.includes(d.Country)
                        ? "black"
                        : "white"
                      : d.Country === activeCountry
                      ? "black"
                      : "white"
                  }
                  strokeWidth={...}
                  style={{ cursor: "pointer" }}
                  opacity={...}
                  onMouseOver={() => {//Show tooltip}}
                  onMouseLeave={() => {//Hide tooltip}}
                ></circle>
    </g>
</svg>

React & svg

SDG4 Story

html canvas

WebGL

2021

country income life expectancy

Html

svg chart

D3

Svelte

d3-scale

country income life expectancy

Html

svg chart

D3

Svelte

d3-scale

Svelte is a frontend framework, like React. It also controls the DOM

country income life expectancy

Html

svg chart

D3

Svelte

d3-scale

You can import and use D3 modules to calculate properties of elements, Svelte adds them to the document

country income life expectancy

Html

svg chart

D3

Svelte

d3-scale

But Svelte has built in functions for dataviz, like animation and measuring parent container dimensions

svelte/motion

country income life expectancy

Html

svg chart

D3

Svelte

d3-scale

But most importantly, on build time, Svelte compiles to just Javascript, and "disappears". Small bundle size, runs fast

svelte/motion

Bundle

Svelte (imo)

All advantages of frameworks (reusable components, reactivity), without the drawbacks (no complicated syntax, no big bundle size, no plugins needed for  viz things like animations)

A bubble chart in

Learn Svelte

Svelte interactive tutorial

Hands-on data visualization using svelte

Thanks!

www.maartenlambrechts.com

@maartenzam

www.slides.com/maartenzam/cimat-svelte

Dataviz journey

By maartenzam

Dataviz journey

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