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Visualizations Content Development #1153

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50 changes: 50 additions & 0 deletions _dashboards/visualizations.md
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---
layout: default
title: Visualizations
nav_order: 40
---

# Visualize your data with dashboards

Visualizations let you identify trends and spot outliers quickly for a large dataset. OpenSearch Dashboards gives you the opportunity to explore and interpret information in an interactive visual environment.

The following highlights the OpenSearch Dashboards visualizations types and typical usage.

- Graphs and charts
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Could we get some PM help on the actual OpenSearch use cases for all of these? Like (from our docs):
Gantt charts are useful in trace analytics, telemetry, and anomaly detection use cases, where you want to understand interactions and dependencies between various events in a schedule.

- Area graphs display quantitative data and is commonly used to visualize trends.
- Controls
- Data tables
- Gantt charts are used to visualize activities and events.
- Line
- Markdown
- Metric
- TSVB
- Tag cloud
- Timelines display data patterns over a sequential or scaled time period.
- Bar charts display categorical data and are best used to compare a category or categories of data.
- Pie charts show data as a percentage of a whiole.

- Maps
- Coordinate maps represent data geographically using geographic information (city, state, latitude, and longitude).
- Region maps group data by country or state.
- Heat maps graphically represent data using a color-coded system.

- Stats and numbers
- Gauge
- Goal

- Misc
- Vega provides tools to support custom visualizations in JSON format.

- Widgets
- Drag and drop give you ability to edit and customize your dashboards with flexible chart-widgets and an arrangement you want.

## Examples

Below you can find some examples for how visualizations in OpenSearch Dashboards can be configured. You can also explore the [OpenSearch plaground](https://playground.opensearch.org/app/home), which has a large set of demo dashboards that showcase the different visualizations.




### Drag and drop visualizations
- [This demo on drag and drop visualizations](https://www.youtube.com/watch?v=SjpaSpcnrJM&t=1007s) walks you through this visualization type.
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