# Visualization #### Chart Types You can choose from various chart types, including: * **Bar Charts**: Ideal for comparing quantities across categories. * **Line Charts**: Perfect for showing trends over time. * **Pie Charts**: Useful for displaying proportions within a whole. * **Scatter chart**: Great for highlighting correlations between variable * **Counter and Gauges**: Useful for displaying a dynamic metric or KPI. * **Disk and Pie Charts**: Display parts of a whole in different styles. * **Status Charts**: Track ongoing progress or peak statuses at a glance. * **Datetime Charts**: Ideal for showcasing time-based data specifically. * **Density Plots**: Highlight data distributions effectively. * **Honeycomb Charts**: Visualize complex data arrangements or quantities uniquely. * Size chart : Visualize usaage data . * Stat chart: Visualize the trend with latest data . * Table View: Visualize the data in raw format. *** #### Customization To enhance your data interpretation, you can customize the following aspects: * **Colors and Themes**: Select from a range of palettes to suit your presentation style. * **Labels and Legends**: Add or adjust labels for clarity and context. * **Axis Titles**: Define axis titles for better understanding of the data. Switching between these visualizations and customizing them allows you to present information in the most effective way for your analysis. --- # 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.apica.io/data-management/overview-1/creating-json-schema/visualization.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.