The bar chart.
The bar chart is where most analytical work begins — and, too often, where it ends.
A practical reference to chart types, their strengths, limitations and design principles.
The bar chart is where most analytical work begins — and, too often, where it ends.
The pie chart is the form everyone has used and almost no expert recommends.
The table is the form analysts dismiss as just data, and the form readers reach for first when they want a specific number.
A grouped bar chart is the bar chart's answer to two categorical variables.
The stacked bar takes the same data as a grouped bar and rearranges the question.
The dot plot is Cleveland's refinement of the bar chart, and the form he argued was perceptually superior for nearly every ranking task.
The box plot is Tukey's invention, and one of the most efficient chart types ever designed.
The violin plot answers the box plot's biggest weakness: a box hides the shape of the distribution.
The strip plot is the most honest chart for showing a distribution: every observation is a dot.
The ridge plot — also known as the joy plot, after Joy Division's Unknown Pleasures album cover — stacks density curves vertically.
The treemap is Ben Shneiderman's 1991 answer to a hard problem: how do you show a hierarchical part-to-whole with hundreds of items?
The Marimekko chart — named after the Finnish textile designer Marimekko, in homage to its grid-like geometry — is a stacked bar with a twist: every bar's width is also data.
The waterfall chart shows how a starting value becomes an ending value through a series of additions and subtractions.
The trend ribbon is Datashow's own design — a stylised hybrid of the sparkline, the bullet chart, and the range plot.
The bump chart is a slope chart with more than two time points and a ranked y-axis.
The candlestick chart is the financial markets' native time-series form.
The horizon chart is what you get when you take a line / area chart, fold it into bands by magnitude, and stack the bands.
The calendar heatmap is the most familiar specialised chart in modern dashboards, thanks to GitHub's contribution graph.
The bubble chart is a scatter plot with a third dimension: each point becomes a circle whose area encodes an additional quantitative variable.
Parallel coordinates is the form that lets you visualise many continuous variables at once.
The chord diagram visualises relationships between categorical entities as arcs around a circle, connected by ribbons whose thickness encodes the strength of each relationship.
A force-directed network graph is the visualisation of a graph — nodes connected by edges — laid out by a physics simulation.
The Sankey diagram visualises flows between nodes as ribbons whose widths are proportional to the quantities flowing through them.
A choropleth map encodes a quantitative variable as the colour of geographic regions.
A hexbin map replaces the irregular polygons of a choropleth with a uniform grid of hexagons.
A value-by-alpha map is a choropleth that fades regions based on a second variable — typically population or sample size.
The radar chart — also called a spider, web, or polar profile — arranges multiple variables on radial axes emanating from a centre, then connects the values along the axes into a polygon.
The stacked area chart is a line chart's contribution to part-to-whole over time.
A Voronoi diagram partitions a plane into regions based on distance to a set of seed points.
A geographic base map provides spatial context without assigning a quantitative value to every region.
A cartogram redraws a map so that geographic area represents a quantitative value rather than land.