Annotated Scatter Plot with Text Labels in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A scatter plot where each data point can have a text label annotation, useful for identifying specific points of interest. This visualization enhances basic scatter plots by adding contextual information directly on the chart, making it easy to highlight outliers, named entities, or key data points that deserve special attention.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the Plotly implementation.

Implementations

• Annotated Scatter Plot with Text Labels in Altair (Python)
• Annotated Scatter Plot with Text Labels in Bokeh (Python)
• Annotated Scatter Plot with Text Labels in lets-plot (Python)
• Annotated Scatter Plot with Text Labels in Matplotlib (Python)
• Annotated Scatter Plot with Text Labels in Plotly (Python)
• Annotated Scatter Plot with Text Labels in plotnine (Python)
• Annotated Scatter Plot with Text Labels in Pygal (Python)
• Annotated Scatter Plot with Text Labels in Seaborn (Python)
• Annotated Scatter Plot with Text Labels in ggplot2 (R)
• Annotated Scatter Plot with Text Labels in Makie.jl (Julia)
• Annotated Scatter Plot with Text Labels in Chart.js (JavaScript)
• Annotated Scatter Plot with Text Labels in D3.js (JavaScript)
• Annotated Scatter Plot with Text Labels in Apache ECharts (JavaScript)
• Annotated Scatter Plot with Text Labels in Highcharts (JavaScript)
• Annotated Scatter Plot with Text Labels in MUI X Charts (JavaScript)