> For the complete documentation index, see [llms.txt](https://docs.apica.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apica.io/data-management.md).

# DATA MANAGEMENT

- [Data Management Overview](https://docs.apica.io/data-management/overview.md)
- [Data Explorer Overview](https://docs.apica.io/data-management/overview-1.md)
- [Visualizations](https://docs.apica.io/data-management/overview-1/visualizations.md): Apica offers a variety of visualizations to support different use cases. This section of the documentation highlights the built-in visualizations, their options and typical usage.
- [Line](https://docs.apica.io/data-management/overview-1/visualizations/line.md): A line chart shows trends over time by connecting data points. Use it for time series metrics and comparisons across multiple series.
- [Bar](https://docs.apica.io/data-management/overview-1/visualizations/bar.md)
- [Area](https://docs.apica.io/data-management/overview-1/visualizations/area.md): An area chart shows trends over time with the area under the line filled in. Use it to highlight magnitude and compare multiple series.
- [Scatter](https://docs.apica.io/data-management/overview-1/visualizations/scatter.md): A scatter plot shows relationships between two numeric fields. Use it to spot correlations, clusters, and outliers.
- [Barrace](https://docs.apica.io/data-management/overview-1/visualizations/barrace.md): A bar race chart animates ranked bars across time. Use it to show how top categories change between time frames.
- [Bubble](https://docs.apica.io/data-management/overview-1/visualizations/bubble.md): A bubble chart plots X and Y values and uses bubble size for a third metric. Use it to compare three dimensions at once.
- [Boxplot](https://docs.apica.io/data-management/overview-1/visualizations/boxplot.md): A box plot shows the distribution of a metric across time buckets or groups. Use it to spot variability and outliers.
- [Heatmap](https://docs.apica.io/data-management/overview-1/visualizations/heatmap.md): A heat map shows how a numeric metric varies across two dimensions using color intensity. Use it to spot hotspots and patterns.
- [Sunburst](https://docs.apica.io/data-management/overview-1/visualizations/sunburst.md): A sunburst chart visualizes hierarchical data using concentric rings. Use it to understand proportional breakdowns across levels.
- [Funnel](https://docs.apica.io/data-management/overview-1/visualizations/funnel.md): A funnel chart shows how a metric changes across ordered steps. Use it to measure drop-off, progression, or stability between stages.
- [Sankey](https://docs.apica.io/data-management/overview-1/visualizations/sankey.md): A Sankey chart visualizes how a numeric metric flows across ordered stages. Use it to understand movement between categories and spot imbalances.
- [Status](https://docs.apica.io/data-management/overview-1/visualizations/status.md): A Status chart displays a single metric as a health state using text and color. Use it to show UP/DOWN/OK style states based on thresholds.
- [Counter](https://docs.apica.io/data-management/overview-1/visualizations/counter.md): A Counter displays a single numeric value as a large, prominent number. Use it for KPI tiles like totals, capacity, or current usage.
- [Stat](https://docs.apica.io/data-management/overview-1/visualizations/stat.md): A Stat chart shows a single key metric with its recent trend. Use it to see the latest value plus context over time.
- [Size](https://docs.apica.io/data-management/overview-1/visualizations/size.md): A Size chart displays a single numeric value formatted into human-readable units. Use it for data volume, storage, and large numbers.
- [Gauge](https://docs.apica.io/data-management/overview-1/visualizations/gauge.md): A Gauge chart displays a single metric as a percentage of capacity using a dial. Use it to see how close you are to a limit.
- [Disk](https://docs.apica.io/data-management/overview-1/visualizations/disk.md): A Disk chart is a capacity indicator. It shows used vs total as a percent-full ring.
- [Datetime](https://docs.apica.io/data-management/overview-1/visualizations/datetime.md): A DateTime chart displays a time-based value as a human-readable duration. Use it for uptime, age, and time-since metrics.
- [Densestatus](https://docs.apica.io/data-management/overview-1/visualizations/densestatus.md)
- [Honeycomb](https://docs.apica.io/data-management/overview-1/visualizations/honeycomb.md): A Honeycomb chart shows the status of many entities as color-coded hexagons. Use it for at-a-glance fleet or cluster health.
- [Pie](https://docs.apica.io/data-management/overview-1/visualizations/pie.md): A Pie chart shows how a total is divided across categories. Use it for quick part-to-whole breakdowns.
- [Table](https://docs.apica.io/data-management/overview-1/visualizations/table.md): A Table chart shows query results as rows and columns. Use it when you need exact values instead of a visual summary.
- [List](https://docs.apica.io/data-management/overview-1/visualizations/list.md): The List visualization shows tabular data as rows and columns. Use it to inspect exact values and detailed records.
- [Pivottable](https://docs.apica.io/data-management/overview-1/visualizations/pivottable.md): A Pivot Table summarizes large datasets into a grid using grouping and aggregation. Use it to compare totals across multiple dimensions.
- [Searchable-table](https://docs.apica.io/data-management/overview-1/visualizations/searchable-table.md): A Searchable Table lets you explore large datasets with search, filters, and pagination. Use it for investigation and validation.
- [Details](https://docs.apica.io/data-management/overview-1/visualizations/details.md): A Details Table shows one record at a time as key–value fields. Use it for deep inspection of metrics, events, or log entries.
- [Page](https://docs.apica.io/data-management/overview-1/page.md)
- [Query Builder](https://docs.apica.io/data-management/overview-1/query-builder.md)
- [Widget](https://docs.apica.io/data-management/overview-1/widget.md)
- [Alerts](https://docs.apica.io/data-management/overview-1/alerts.md)
- [JSON Import](https://docs.apica.io/data-management/overview-1/json-import.md)
- [Creating Json Schema](https://docs.apica.io/data-management/overview-1/creating-json-schema.md)
- [Visualization](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization.md)
- [Line chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/line-chart.md)
- [Bar chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/bar-chart.md)
- [Area chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/area-chart.md)
- [Scatter chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/scatter-chart.md)
- [Status chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/status-chart.md)
- [Counter chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/counter-chart.md)
- [Stat chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/stat-chart.md)
- [Size chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/size-chart.md)
- [Dense Status chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/dense-status-chart.md)
- [Honeycomb chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/honeycomb-chart.md)
- [Gauge chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/gauge-chart.md)
- [Pie chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/pie-chart.md)
- [Disk chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/disk-chart.md)
- [Table chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/table-chart.md)
- [Date time chart](https://docs.apica.io/data-management/overview-1/creating-json-schema/visualization/date-time-chart.md)
- [Time-Series AI/ML](https://docs.apica.io/data-management/overview-1/time-series-ai-ml.md)
- [Anomaly Detection](https://docs.apica.io/data-management/overview-1/time-series-ai-ml/anomaly-detection.md)
- [Averaging](https://docs.apica.io/data-management/overview-1/time-series-ai-ml/averaging.md)
- [Standard Deviation(STD)](https://docs.apica.io/data-management/overview-1/time-series-ai-ml/standard-deviation-std.md)
- [Data Explorer Dashboard](https://docs.apica.io/data-management/overview-1/data-explorer-dashboard.md)
- [Create a Dashboard](https://docs.apica.io/data-management/overview-1/data-explorer-dashboard/create-a-dashboard.md)
- [Editing Dashboard](https://docs.apica.io/data-management/overview-1/data-explorer-dashboard/editing-dashboard.md)
- [Dashboard level filters](https://docs.apica.io/data-management/overview-1/data-explorer-dashboard/editing-dashboard/dashboard-level-filters.md)
- [Timestamp handling](https://docs.apica.io/data-management/timestamp-handling.md): This document describes the heuristic used by Apica Ascent for managing timestamps in incoming log data
- [Timestamp bookmark](https://docs.apica.io/data-management/timestamp-handling/timestamp-bookmark.md)
- [Large log/events/metrics/traces](https://docs.apica.io/data-management/large-log-events-metrics-traces.md): Large log/events are single events/logs that exceed 16KB in size.