Dataviz in practice

Pages in Dataviz in practice

CSV files

Excel files

PDF files

XML files

JSON files

Databases and API's

Wide versus long data

Transposing data

Geographical data: vectors

Geographical data: rasters

Consulting metadata

Inspecting data

Standardising data

Matching data types

Cleaning data: dates

Dropping columns

Missing values and outliers

Cleaning data: tools

HTML and <img>

Image alt descriptions

SVG elements: text

SVG elements: geometric shapes

More advantages of SVG

Styling and CSS

Dynamic SVG

Accessing data of a dynamically generated visualisation

Canvas

Online graphics: tools

Tracing charts

Templates and themes

Theming charts

Visualisation layers

The margin convention

Fonts

Direct labelling

Text halos

Colour: RGB versus HSL

Apps versus libraries

Explanatory versus exploratory data visualisation

Microsoft Excel

Google Sheets

Adobe Illustrator

Datylon

Business intelligence tools

RAWGraphs

Datawrapper

Flourish

Highcharts

ggplot2

Python visualisation packages

Plotly

D3.js

Vega

Observable Plot

QGIS

Leaflet

The Chartmaker Directory