Basic Scatter Plot 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 fundamental 2D scatter plot that displays the relationship between two numeric variables by plotting points on a Cartesian coordinate system. This visualization is essential for exploring correlations, identifying patterns, detecting outliers, and understanding the distribution of paired data points.

Renders

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

Preview render from the D3.js implementation.

Implementations

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