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Visualizations Content Development #1153
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layout: default | ||
title: Visualizations | ||
nav_order: 40 | ||
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# Visualize your data with dashboards | ||
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OpenSearch Dashboards gives you the opportunity to explore and interpret information in an interactive visual environment. Having the right visual can help you accurately show metrics and data patterns in a clear, unbiased way. | ||
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The following highlights the OpenSearch Dashboards visualizations types and typical usage. | ||
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- Graphs and charts | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Could we get some PM help on the actual OpenSearch use cases for all of these? Like (from our docs): |
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- Area graphs display quantitative data and is commonly used to visualize trends. | ||
- Controls | ||
- Data tables | ||
- Gantt charts are commonly used in project management to display activites with their duration over time. | ||
- 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 chart visualizes data where propotionality is important. | ||
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- 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. | ||
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- Stats and numbers | ||
- Gauge | ||
- Goal | ||
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- Misc | ||
- Vega provides tools to support custom visualizations in JSON format. | ||
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- Widgets | ||
- Drag and drop makes exploring multiple visualization types easier | ||
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# Examples | ||
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[This demo on the drag and drop tool](https://www.youtube.com/watch?v=SjpaSpcnrJM&t=1007s) walks you through its features. |
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Instead of the second sentence can we highlight that it would be impossible to see trends when you have to comb through thousands of data files without a visualization? So, something like:
Visualizations let you identify trends and spot outliers quickly for a large dataset.
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Revised