Détaillez la répartition des données avec des diagrammes en boîte

Mars 12, 2026
Les contrôles de graphiques React aident à visualiser les quartiles, médianes et valeurs aberrantes, facilitant ainsi l’analyse des données statistiques dans les tableaux de bord et les applications.

Continuer de lire en anglais:

Box plots in React chart controls are statistical visualizations used to present the distribution of a dataset by highlighting key summary values, including the minimum, first quartile (Q1), median, third quartile (Q3), and maximum. In React applications, chart components render this information as a rectangular box representing the interquartile range, with lines known as whiskers extending to the minimum and maximum values, and optional markers indicating outliers. This visualization allows developers and analysts to quickly understand data spread, central tendency, and variability within a dataset. Box plots are commonly used in analytical dashboards, financial analysis tools, and scientific applications built with React, where comparing distributions and identifying anomalies across multiple data groups is important.

Many React chart controls support box plots including:

  • Highcharts Core by Highsoft lets you visualize statistical distributions using box plot charts in React, highlighting quartiles, medians, ranges, and outliers.
  • KendoReact Charts (part of KendoReact by Telerik) allows you to render box plot visualizations in React, presenting quartile ranges, medians, and extreme values clearly.
  • amCharts 5: Charts facilitates advanced box plot visualizations in React environments, enabling developers to examine distribution patterns, quartiles, and anomalies effectively.
  • ZingChart allows you to build box plot charts within React applications, presenting statistical summaries including quartiles, medians, ranges, and outliers.

For an in-depth analysis of features and price, visit our comparison of React chart controls.

Compare React Chart Controls