# Data Driven Charts ## Overview The Data Driven Charts category provides powerful section widgets that automatically transform your table data into interactive visualizations directly within experimental records and sections. These widgets connect to existing table columns to generate charts based on categorical distributions or numeric relationships, eliminating the need for manual data entry or external graphing tools. Whether you're analyzing sample distributions across treatment groups, plotting dose-response curves with regression analysis, or tracking numeric trends over time, these tools provide flexible, real-time visualizations that update as your data evolves. By embedding data-driven charts within your laboratory workflows, you can accelerate data interpretation, support scientific decision-making, and enhance experimental documentation with publication-ready visualizations. ## Widgets * [Chart By Category X](/widgets/section-widgets/report/data-driven-charts/chart-by-category-x.md) - Visualize categorical data distributions with customizable aggregation methods and flexible sorting for group comparisons * [Chart By Numeric X](/widgets/section-widgets/report/data-driven-charts/chart-by-numeric-x.md) - Create scatter plots and trend lines with R-squared regression analysis for exploring numeric relationships * [Composed Chart By Category X](/widgets/section-widgets/report/data-driven-charts/composed-chart-by-category-x.md) - Combine multiple categorical data series with per-series chart types, dual Y axes, and flexible aggregation in one chart --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.labii.com/widgets/section-widgets/report/data-driven-charts.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.