Data Visualisation

In short: Data visualisation shows data as charts, maps or dashboards so patterns are quickly recognised.

In more detail: Good graphics make statements visible, bad ones distort or confuse.

In Depth

Chart types

Line (trend), bar (comparison), pie (shares, few parts), scatter (relationship), heatmap, map.

Rules

Label axes, start bars at 0, use colours sparingly and with good contrast, no 3D effects without benefit.

Tools

Excel, Python (Matplotlib), JavaScript (D3, Chart.js), BI tools. See data science, pandas.

See also: Data Science, Excel, Pandas, JSON