Tutorials, guides, and examples for all of the major ones and some others.
The space between the data and the baseline is filled with a color or a pattern, usually emphasizing counts or percentages for a single variable.
The old standby. The classic. The bar height or length represents data. The baseline starts at zero.
Bar Chart Race
The standard bar chart is animated to show rankings and change over time. The alternative is a multi-line chart.
It's like a line chart, but it specifically uses a reference point, which becomes the baseline, to compare all the other categories to.
It emphasizes individual points in a distribution instead of binning them like a histogram.
The classic chart of quartiles, median, minimum, and maximum shows a basic view of distributions.
It looks like a line chart. However, the focus is specifically on ranks, usually over time.
Connected Scatter Plot
A cross between a scatterplot and a time series. Show two variables over time.
Fill the space between lines to highlight the greater-than and less-than differences over time.
Dot Density Map
Dots are placed randomly within regions to show the density of populations. The dots and spacing allow for multiple groups to be shown at once.
A generalized form of the scatter plot, the dots can be placed in various coordinate systems.
It's a type of bar chart that shows the end and start times. The bars are offset by the former.
Instead of using geographic boundaries, same-size cells are used to represent areas to provide equal visual attention to all.
It looks like a bar chart, but it reads differently. The baseline is continuous instead of discrete categories, which allows one to see distributions.
Compact the area chart by slicing it horizontally, and then then shifting the slices to baseline zero. It's like a combo area chart and heatmap.
Typically used to show trends over time, the slope of the line between two points shows patterns of change.
Also known as a Marimekko diagram, this chart uses the width and height of rectangles to represent separate variables. It can be useful to represent multidimensional data.
Making use of a force-directed graph, bubbles move between different clusters to show grouping over time.
Nodes and edges show connections, typically positioned to show strength of relationships.
Packed Bubble Chart
Circle size represents data like with a bubble chart, but there is typically no x-y axis. Instead position often represents grouping or is used to maximize space.
Differing scales run alongside each other, sometimes showing relationships between multiple variables through connections. Can be tricky though.
Explore counts across multiple categories at the same time. The geometry is similar to a Sankey Diagram but without the hierarchical flow.
Typically used to show the age distributions for population of male and females. Often animated.
Dots are placed in an x-y coordinate system, based on two variables. The plot is often used when it is thought that the variables are correlated.
A specialized line chart, this chart type highlights the change in rank or metric over two time periods.
Square Pie Chart
Instead of using angle to represent parts of a whole, the square version uses, well, squares.
Stacked Area Chart
Place multiple categories on top of each other for a sense of distribution and overall change. Watch out for large counts eclipsing the small ones.
Stacked Bar Chart
With the stacked version of the bar, compare subcategories across groups. Try not to show too many subcategories though, or it'll clutter quick.
Dots are placed along a single continuous scale to show distribution along the corresponding variable.
Show three metrics that sum to a whole. It's good for showing the ratio between the metrics.
It shows the individual values as they compare to the whole. Rectangles are arranged to maintain hierarchy.
Variable Width Bar Chart
The vertical height is the same as a regular bar chart. The widths of bars show another dimension for each category. The two dimensions multiplied, area, should mean something.