The default behavior is as follows: Selecting High Value in the backorders example, results in the following: A lightbulb appears next to Product Type indicating this was an âAI splitâ. Treemaps can accommodate any number of dimensions, including one or even two on Color. The best part about the Decomposition Tree is that it can allow for both of these scenarios in one visual. The extension offers a flexible Drill Down tree. You can lock as many levels as you want, but you cannot have unlocked levels preceding locked levels. The path updates and Xbox sales move from first to second place, surpassed by PlayStation. The Hierarchy Tree for Power BI is an advanced custom visual that shows hierarchies in a more visually appealing manner. You use dimensions to define the structure of the treemap, and measures to define the size or color of the individual rectangles. The tree also provides a dotted line recommending the Patient Monitoring node as that results in the highest value of backorders (9.2%). On top of that, it’s very easy to setup in Power BI Desktop. The subsequent levels change to yield the correct High and Low Values. Selecting High Value results in the expansion of Platform is Nintendo. vs. To build this I utilized the same technique as outlined here.
More precisely, since there are 10 Game Genre values, the expected value for Platform would be $4.6M if they were to be split evenly. The visualization requires two types of input. But beyond that, adding dimensions only breaks the map into an ever greater number of smaller rectangles. Despite the path disappearing, the existing levels (in this case Game Genre) remain pinned on the tree. If we change the Analysis type from Absolute to Relative, we get the following result for Nintendo: This time, the recommended value is Platform within Game Genre. If you continue to use this site we will assume that you are happy with it. Complex measures and measures from extensions schemas in 'Analyze'. The drill down tree is a valuable tool for ad hoc exploration and conducting root cause analysis in your Tableau Dashboards. © 2003-2020 Tableau Software LLC. In the example below, we are visualizing the average % of products on backorder (5.07%). Maximum number of data points that can be visualized at one time on the tree is 5000. Selecting the + lets you choose which field you would like to drill into (you can drill into fields in any order that you want). Read more here, The architecture of Enterprise (on-premise or private cloud) Subscriptions to deploy extensions for Tableau, The architecture of Share Subscriptions to deploy extensions for Tableau, More information on our premium Tableau dashboard extensions can be found at: https://appsfortableau.com/support/documentation, We use cookies to ensure that we give you the best experience on our website. It automatically aggregates data and enables drilling down into your dimensions in any order. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. In this case, itâs not just the nodes that got reordered, but a completely different column was chosen. Since Platform has a value of almost $20M, that is an interesting result as it is four times higher than the expected result. Hierarchy Tree. The visual is used to analyze the impact of various dimensions on a metric. To illustrate this, letâs take a look at an example: In the screenshot above, we are looking at North America sales of video games. Drag the Sub-Category dimension to Columns. North America Sales for Nintendo / Abs(Avg(North America Sales for Platform)), 19,550,000 / (19,550,000 + 11,140,000 + ... + 470,000 + 60,000 /10) = 4.25x
Tableau aggregates the measure as a sum and creates a vertical axis.
This process can be repeated by choosing another node to drill into. The next step is to bring in one or more dimensions you would like to drill down into. A sales scenario that breaks down video game sales by numerous factors like game genre and publisher. The decomposition tree is not supported in the following scenarios: AI splits are not supported in the following scenarios: A supply chain scenario that analyzes the percentage of products a company has on backorder (out of stock).
It automatically aggregates data and enables drilling down into dimensions in any order. A horizontal axis appears, which shows product categories. You can use âAI Splitsâ to figure out where you should look next in the data. Analyze – the metric you would like to analyze. All rights reserved. Connect to the Sample - Superstore data source.
Nevertheless itâs a value that stands out. These visuals can be created and viewed in both Power BI Desktop and the Power BI service. If we do a manual split following an AI split, the lightbulb from the AI level disappears and the level transforms into a normal level. It automatically aggregates data and enables drilling down into dimensions in any order. Notice that a plus sign appears next to your root node. For Microsoft ® Power BI. The extension offers a flexible Drill Down tree.
In this treemap, both the size of the rectangles and their color are determined by the value of Salesâthe greater the sum of sales for each category, the darker and larger its box.