--- title: Visualize description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > Product Analytics > Charts > Analytics Explorer > Visualize --- # Visualize ## Overview{% #overview %} Visualizations define the outcomes of the filters and aggregates displayed in the [Analytics Explorer](https://app.datadoghq.com/product-analytics/explorer). Select the relevant visualization type to surface the information you need under the search query. ## Timeseries{% #timeseries %} Visualize the evolution of a single measure (an attribute with a numerical value contained in your Product Analytics events), or a facet (unique count of values) over a selected time frame. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-timeseries-2.ac25fb422a05ee5dab0ca158631103eb.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-timeseries-2.ac25fb422a05ee5dab0ca158631103eb.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Timeseries graph in the Analytics Explorer" /%} The timeseries graph depicts the evolution of the number of pageviews on an example web application over the past day for every view path. You can choose additional display options such as: - Display: Results are shown as bars (recommended for counts and unique counts), lines (recommended for statistical aggregations), areas, and several color sets are available. - The roll-up interval: Determines the width of buckets in the bars. ## Top list{% #top-list %} Visualize the top values from a facet based on your chosen measure. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-top-list-2.f0d526a690a86ca191ebfeb2249ce4cd.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-top-list-2.f0d526a690a86ca191ebfeb2249ce4cd.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Top list bar graph in the Analytics Explorer" /%} The top list includes the top browsers used to visit the Shopist website over the last day. ## Nested tables{% #nested-tables %} Visualize the top values from up to three facets according to your chosen measure (the first measure you choose in the list) and display the value of additional measures for elements that appear in the nested table. Update the search query or investigate the events corresponding to either dimension. - When there are multiple measures, the top or bottom list is determined according to the first measure. - The subtotal may differ from the actual sum of values in a group since only a subset (top or bottom) is displayed. Events with a null or empty value for this dimension are not displayed as a sub-group. **Note**: A table visualization used for one single measure and one single dimension is the same as a top list, just with a different display. The following Analytics table shows the **top 5 URL paths** for **two countries**, US and Japan, grouped by browser, over the last day: {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-nested-table-2.cf7ea1404b78d61426f99f953213107f.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-nested-table-2.cf7ea1404b78d61426f99f953213107f.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Nested table in the Analytics Explorer" /%} ## Distributions{% #distributions %} You can display the distribution of measure attributes over the selected time frame to see the values fluctuate. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-distribution.ff02112fbc227439268d311ffb8b4d96.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-distribution.ff02112fbc227439268d311ffb8b4d96.png?auto=format&fit=max&w=850&dpr=2 2x" alt="Distribution graph in the Analytics Explorer" /%} The distribution graph displays the distribution of the Largest Contentful Paint that measures the user experience of the Shopist landing page. ## Tree Maps{% #tree-maps %} A tree map helps you organize and show data as a percentage of a whole in a visually appealing format. Tree maps display data in nested rectangles. Compare different dimensions using both size and colors of the rectangles. You can also select multiple attributes to view a hierarchy of rectangles. The following tree map shows the percentage breakdown by **View Name**. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-tree-maps-1.8f018ea5717bdc2bdb2f4c553766e03c.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-tree-maps-1.8f018ea5717bdc2bdb2f4c553766e03c.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Tree map in the Analytics Explorer" /%} ## Pie charts{% #pie-charts %} A pie chart helps you organize and show data as a percentage of a whole. It is useful when comparing the relationship between different dimensions such as services, users, hosts, and countries. within your log data. The following pie chart shows the percentage breakdown by **View Path**. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-pie-chart-1.8b06cfe6693a56831b4e359ba15bf97a.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-pie-chart-1.8b06cfe6693a56831b4e359ba15bf97a.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Pie chart in the Analytics Explorer" /%} ## Geomaps{% #geomaps %} Visualize a single measure (an attribute with a numerical value contained in your Product Analytics events), or a facet (unique count of values) on the world map. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-geomaps-1.2e367b1e4c1b9f6958d43cf0cf702c01.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-geomaps-1.2e367b1e4c1b9f6958d43cf0cf702c01.png?auto=format&fit=max&w=850&dpr=2 2x" alt="A view of the Geographical map in the Analytics Explorer" /%} The Analytics geomap shows the 75th percentile of the **Largest Contentful Paint** over the past day. ## Lists{% #lists %} Lists are paginated results of events and are ideal when individual results matter. You do not need prior knowledge of what defines a matching result to use lists. {% video url="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-lists.mp4" /%} The information you search for is displayed in columns. You can manage the following: - The table with available interactions on the first row. You can sort, rearrange, and remove columns. - The facet dropdown at the top of each column. By default, events in the list visualization are organized by timestamp, with the most recent events listed first. You can sort events in any way you want, such as with facets. Surface events with the lowest or highest value for a measure first, then sort your events lexicographically for the unique value of a facet. This orders a column according to the facet. ## Related events{% #related-events %} For all visualizations besides the [funnel](https://docs.datadoghq.com/product_analytics/charts/funnel_analysis.md), select a section of the graph or click on the graph to either zoom in or see a list of events that correspond to your selection. {% image source="https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-related-events.28ec16c7b27ceedd8d506664b5dcf582.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/product_analytics/analytics/visualize/analytics-related-events.28ec16c7b27ceedd8d506664b5dcf582.png?auto=format&fit=max&w=850&dpr=2 2x" alt="Related events link available when you click on the graph" /%} For funnel graphs, click on the graph to see a list of converted and dropped off sessions that correspond to your queries. For the remaining visualization options, click on the graph and click **View events** to see a list of events that correspond to your selection. ## Further Reading{% #further-reading %} - [Search for your events](https://docs.datadoghq.com/real_user_monitoring/explorer/search.md)