![]() It is important because if there is no information in the filters, the rest of the panels come out empty or give an error. In this case I have made that in the event that the conditions do not give any record, the conditions are not taken into account and all are displayed. In the event "Before SQL Query" these values are calculated and stored in session variables to be used in both "snnipet" to create the header of the "grid"Īnother aspect that I have also changed is the operation of the general search box. I want to highlight how, part of the header of the "grid" is variable depending on the call. The rest of the applications that are not shown are grouped into an item called "Rest". The graph does not report all the applications, it only informs us of the 6 main ones (the number is defined in an application parameter set in the "After application initialized" event). The panel names can be customized using the syntax, referring to the fields of the filter or master table. As this set of pages shows the data of the selection and compares it with the previous call, the SQL of this table is built dynamically. This helps me so that the rest of the information is dependent on the filter of (2) that already has the key of (1) and that of (2). As it is filtered, the data in the panel table only appears once (2). What I have done is that the panel (2) depends on (1), but in the panel (2) I have made a "JOIN" between the tables of the panel (1) and the panel (2). As you know, in PHPRunner it can only be made dependent on a filter panel, then. We see that the data is dependent on 2 filter panels. ![]() It will help me to explain some characteristics that you will be able to see in code. I show one of the pages of the application. The interface and data is in Spanish, but I insist that the objective is not the data, but how the graphs are built and have examples for when we make ours. Election results are public and more or less, everyone understands them, and, in one way or another, we have all participated in electoral processes. The objective of the example is not to show the Elections data, but to have a series of (real) examples that serve to analyze and learn how to exploit the potential of An圜hart. These Municipalities are in turn divided into Districts. The provinces are divided into administrative units that are the Municipalities. Spain is divided into 17 Autonomous Communities and these have one or more provinces. To do the example I have used the data that I have from the Elections of the Community of Madrid. Use a thematic map, AnyMap product, which also offers us the product license.Combine the graphics in "Dashboard" pages, to show the potential of PHPRunner to make "Dashboards".Create charts that would have been impossible with the standard PHPRunner integration.Create multiple charts, all of them done with the new plugin.So, this project that I show you and provide you with, aims to: To expand the ability to use An圜hart by PHPRunner I have made a plugin and defined a working method that makes, from my point of view, very easy to use and above all, to be able to use very easily, all the documentation available An圜hart on your portal and apply it directly to our projects. I think that in general, we do not exploit the capacity that PHPRunner offers us with An圜hart, especially when the An圜hart license that enables us to acquire PHPRunner is complete, including support from the manufacturer.Īlso, as I mentioned, the An圜hart PHPRunner integration is very easy to use, I think it is made so that beginners of the product are able to exploit several of its features, but that there is a "world to inspect and show" using this product. Read the overview of general settings: General Settings.I have already commented on it on other occasions. In An圜hart there are many settings that are configured in the same way for all chart types, including the Treemap chart (for example, legend and interactivity settings). In the sample below, there is a basic Treemap comparing the top 10 most populated European Union countries by their population: // create dataĬhart = eeMap(data, "as-tree") To create a Treemap chart, use the eeMap() chart constructor. The Treemap chart requires adding the Core and Treemap modules: You can also see the table below to get a brief overview of the Treemap chart's characteristics: This article explains how to create a basic Treemap chart in An圜hart as well as configure settings that are specific to the type. The sizes and colors of rectangles are proportional to the values of the data points they represent. Triple Exponential Moving Average (TRIX)Ī treemap is a visualization that displays hierarchically organized data as a set of nested rectangles, parent elements being tiled with their child elements. ![]()
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