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Plots
Plots are flexible visual components used to explore, analyze, and communicate data through clear graphical representations. They help reveal trends, compare values, and uncover patterns across datasets of any size, making them a core building block for dashboards, reports, and analytical views.
What it works best for
Trend analysis
Use plots to clearly show how values change over time or across sequences.
Data comparison
Compare categories, groups, or segments to highlight differences and similarities.
Pattern discovery
Identify relationships, distributions, and outliers within complex datasets.
Bars (Vertical)
The most common approach to visualizing amounts — numerical values shown for a set of categories along a vertical axis.
Comparison
Stacked Bars (Vertical)
A vertical bar chart that layers multiple data series within each bar, showing both the total and the composition of each category.
Comparison
Proportions
Bars (Horizontal)
A variation of the bar chart where categories are placed on the vertical axis and values extend horizontally, ideal for long or numerous category labels.
Comparison
Stacked Bars (Horizontal)
A horizontal bar chart that stacks multiple data series within each bar, combining compositional detail with easy label readability.
Comparison
Proportions
Lollipop (Vertical)
Use a lollipop chart when visualizing a large dataset with high values, where traditional bar charts may be overwhelming, to show the magnitude of values with precision.
Comparison
Stacked Lollipop (Vertical)
A lollipop chart with stacked segments per category, combining compositional breakdown with a lightweight visual style suited for data-dense views.
Comparison
Proportions
Line
Line charts are typically used to visualize trends or patterns in quantitative data over a continuous or ordered domain.
Comparison
Trend
Area chart (Density Plot)
Use an area chart when you want to display the cumulative contribution of data series over time or categories, emphasizing the magnitude of change while illustrating the overall pattern.
Comparison
Trend
Stacked Area Chart
A stacked area chart shows cumulative totals over time with each series layered on top of the previous, making it easy to see both individual contributions and the overall trend simultaneously.
Proportions
Trend
Histogram
The go-to chart for visualizing how a single quantitative variable is distributed across intervals or bins. Helps identify patterns, skewness, and central tendency in the data.
Proportions
Trend
Distributions
Scatterplot
The standard way to visually explore the relationship between two quantitative variables. Effective for identifying patterns, trends, correlations, and outliers.
Correlation
Matrix
A grid-based visualization that reveals relationships and variations across a two-dimensional dataset. Ideal for correlation analysis, categorical comparison, and spotting patterns at scale.
Comparison
Punchcard
A dot-grid chart that encodes frequency or magnitude using circle size across two categorical dimensions. Makes activity patterns immediately visible without relying on color alone.
Comparison
Bubble
An extension of the scatterplot that encodes a third quantitative variable through bubble size, enabling multi-dimensional comparison within a single view.
Correlation
Comparison
Boxplot (Vertical)
A compact summary of numerical distributions across categories, surfacing the median, spread, quartiles, and outliers simultaneously.
Distributions
Comparison
Pie Chart
A circular chart that represents parts of a whole through proportional slices. Best kept to a limited number of categories, as comparing similarly sized slices can be misleading.
Proportions
Donut Chart
A pie chart with a hollow center that can display a key metric or label. Visually lighter and well-suited to dashboards where a summary value needs context.
Proportions
Polar Area
A circular chart where each segment shares the same angle but varies in radius to encode value. Best suited for cyclical or radial data structures.
Comparison
Radar
A multi-axis circular chart for comparing entities across several dimensions at once. Best for profiling strengths and weaknesses across a limited number of variables.
Comparison
Radial Bar
A bar chart rendered in polar coordinates, comparing category values through arc length in a circular layout. Visually engaging, though less precise than a standard bar chart.
Comparison
Sankey
A flow diagram where ribbon width encodes quantity, showing how values are distributed or transferred between stages and categories across a system.
Correlation
Comparison
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