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Table of Contents

Introduction

English
Chart menu allows you to select a form binder or define your own SQL query to display the chart data for the most common graph types. You can also include charts in your

...

UI Dashboard Menu.

Chart Menu Properties

Configure Chart Menu

Image Modified

Figure 1: Edit Chart Properties


ID element unique id. Userview will use this id in the URL for the menu if the Custom ID is empty.
NameDescription
LabelMenu label. Mandatory field.
Menu Custom ID

Item link slug. Optional field.  Value Value defined here must be unique to the rest of the Userview UI Menus as the first matching name will be called upon.

Label

Menu label. Mandatory field.
Chart Type
  • Area Chart
  • Bar Chart
  • Bubble Chart
  • Candlestick Chart
  • Donut Chart
  • Line Chart
  • Open High Low Close Chart (OHLC Chart)
  • Pie Chart
  • XY Chart
Chart Title

Chart Title to be displayed as part of the generated graph.

Chart Library
  • Apache ECharts
    For a comprehensive guide on creating and customizing charts using Apache ECharts, refer to the official ECharts documentation https://echarts.apache.org/en/api.html#echarts. It provides instructions on implementing various chart types, data sets, and options for personalizing the visual appeal and interactivity of your charts

  • jqPlot Charts
    Explore the jqPlot documentation http://www.jqplot.com/docs/index/Hooks.html for detailed instructions on utilizing this plotting and charting plugin

Configure Datasource

Image RemovedImage Added

Figure 22a: SQL Chart Properties - Default Datasource

NameDescription
Datasource

Select the datasource for the chart.

  • Using Data Binder
  • Using List
  • Default Datasource
  • Custom Datasource
    Data Binder
      • Image Added

        Figure 2b: SQL Chart Properties - Custom Datasource

         
    • Load Data From
      • Image Added

        Figure 2c: SQL Chart Properties - Load Data From

    • Using List
      • Image Added

        Figure 2d: SQL Chart Properties - Using List

    When Datasource is set to "Using Data Binder", this option will show up. Advance Form Data Binder has more flexible ways to build chart datasets using join, group, and aggregate function. Please see Datalist Binder for the available binder to use.
    SQL Query

    When Datasource is set to use any of the ""Default Datasource" or "Custom Datasource", this option will show up.  You You use an SQL Query to produce the dataset required for the graph type.  The The first column in the dataset will be assumed for the X-axis/label.

    Example 1:The first column to be returned from the query must be a label (X-axis), followed by value columns for the Y-axis.

    Code Block
    languagesql
    titleExample
    SELECT
        c_status AS 'status',
        COUNT(c_status) AS 'count' 
    FROM
        app_fd_tix_tickets 
    WHERE
        c_status IS NOT NULL 
    GROUP BY
        c_status

    Example 2:

    Code Block
    languagesql
    titleSQL
    SELECT
        c.c_claimant,
        SUM( CAST( replace(c.c_total, '$', '') AS DECIMAL(10, 2)) ) AS 'total',
        AVG( CAST( replace(c.c_total, '$', '') AS DECIMAL(10, 2)) ) AS 'avg' 
    FROM
        app_fd_j_expense_claim c 
    GROUP BY
        c.c_claimant
    


    Data Store

    When Datasource is set to "Load Data From", this option will show up. Advance Form Data Binder has more flexible ways to build chart datasets using join, group, and aggregate functions. Please see List Data Store for the available binders to use.

    Configure Database

    This option is available when the Datasource is set to "Custom Datasource" (Figure 2a).

    NameDescription
    Database Type

    Enter the database type. (example: com.mysql.jdbc.Driver)

    Please ensure that the database type entered here is compatible with Joget DX 8. For reference, check this Link.

    Target DB URLEnter the Database's URL
    UsernameEnter your DB username credential.
    PasswordEnter your DB password credential.
    Tip
    titleTip

    For a reference of what the parameters entered into "Configure Database" should look like, check the default Joget Datasource settings, Expand the admin bar then go to Settings>System Settings>Datasource & Profile Settings.

    Image Added 

    Using List
    NameDescription
    ListSelect the List that the chart will use to plot data.
    Chart Dataset

    Select the size of the chart's dataset.

    • Current Page Dataset
    • Entire Dataset
    Show Tabular Data

    This option allows you to view the data used to plot the chart in tabular form.

    • No - Do not show the tabular data
    • Top - Show tabular data on top of the chart
    • Bottom - Show tabular data at the bottom of the chart
    Show Export Links

    Available when Show tabular data is set to either "Top" or "Bottom". When set to "Yes", this option allows you to export the chart into CSV, Excel, XML or PDF directly from the UI page.

    • Yes
    • No
    Show Filters

    Available when Show tabular data is set to either "Top" or "Bottom". When set to "Yes", this option allows you to filter the tabular data used to plot the chart directly from the UI page.

    • Yes
    • No

    Data Binder & Chart Data Mapping

    Image Modified



    Remove Padding and Whitespaces from Charts

    To hide the padding and utilizing the spacing around the chart, below code can be helpful.

    Output of the code

    Image Added

    Code to remove padding and spacing

    Image Added

    {
          "top": "5px",
          "left": "5px",
          "right": "5px",
          "bottom": "5px"
    }


    Figure 3: Data Binder & Chart Data Mapping Properties


    NameDescription
    Order ByColumn to be sorted in the graph dataset. This would affect how the graph is plotted.
    Order
    • ASC
    • DESC
    X-axis Value 
    X-axis label. 
    Y-axis Values

    Y-axis dataset.

    NameDescription

    Number Value

    Select a numeric parameter to be plotted on the Y-axis. This field supports hash variables, app variables and List columns.
    Series NameCustom name for the series of values.
    Series CustomizationThis field allows you to insert a script that can modify the graph's visualization. (e.g: modify legend position)

    Add Row

    Add another dataset to be plotted on the Y-axis.

    Chart Options Properties

    Image Modified

    Figure 4: Chart Options


    Display as Horizontal ChartColors color
    NameDescription
    Echart Theme
    This option appears when Echart Library is selected in Configure Chart (Fig 1).
    X-axis Label 
    X-axis Label 
    X-axis display as
    • Category
    • Number
    • Date
    Y-axis Label 
    Y-axis Label 
    Y-axis Prefix
    Y-axis Prefix
    Show Legend?
    If checked, the legend will be shown in the generated graph.
    Show Value Label in Chart?
    If checked, the value label will be shown in the generated graph.
    Stack Series?
    If checked, this will affect the generated graph.
    Display as Horizontal Chart?
    If checked, the Chart will be displayed horizontally.
    No Boundary Gap
    If checked, there will be no gap between the axes label and the chart.
    Width 

    Width in character, for example 100%.

    Height 

    Height in character, example 300px.

    Colours

    Series

    colour. Optional field. This option only appears when jqPlots Library is selected in Configure Chart.

    Comma-separated values (CSV) of color codes.

    Example 1: #3333FF,#66FF00,#FF9933,#990000

    Image Modified


    Example 2
    : red,orange,yellow,green,blue,indigo

    Image Modified

    Info
    titleWhat are the default colors?

    http://stackoverflow.com/questions/18332440/what-are-the-jqplot-default-series-colors

    Advanced Properties

    Image Modified


    Figure 5: Advanced Properties


    NameDescription
    Series Customization
    NameDescription
    Series NameCustom name for the series of values.
    Series CustomizationThis field allows you to insert a script that can modify the graph's visualization. e.g: tooltip : { "trigger" : "item" , "formatter" : {a} {b} : {c} ({d}%) }

    Add Row

    Add another dataset to be plotted on the Y-axis.
    Additional Customization

    This field allows you to insert an additional script that can modify the graph's visualization. (e.g: modify legend position)

    UI Userview Key Name

    When defined, the additional conditions will be appended using the value defined here as the parameter and the userview UI key value as the value.

    Info
    titleExample

    SQL: SELECT category, count(category) FROM table1

    Userview UI Key Name: type

    Userview UI Key Value: val

    Resultant SQL:  SELECT category, count(category) FROM table1 WHERE type = 'val'

    When userview UI key value is defined, you may define #userviewKey# in your SQL query to have it replaced with the userview UI key value.

    Info
    titleExample

    SQL: SELECT category, count(category) FROM table1 WHERE type = '#userviewKey#'

    Userview UI Key Value: val

    Resultant SQL:  SELECT category, count(category) FROM table1 WHERE type = 'val'

    Custom Header
    Custom Header in HTML.
    Custom Footer
    Custom Footer in HTML.

    Performance & Offline

    Image Modified

    Figure 6:

    ...

    Performance & Offline Settings 


    Name

    Description

    Scope

    Caching options are:

    • None: No caching.
    • Application: Cache content by application where all users will see the same content.
    • User: Cache by username
    Duration (s)Duration in seconds to cache content defaults to 20 seconds if applicable.

    Read more at Performance Improvement with UI Caching.

    PWA Offline Settings

    Note: PWA Offline support is dependent on the theme used.

    Name

    Description

    Enable cache for offline supportCheck this to enable caching for offline support, usually set for use on mobile browsers.

    Read Progressive Web Application (PWA) for more information.

    Additional Notes & Modifications

    ...

    Code Block
    languagejs
    <script>
    $(document).ready(function(){
    
    	//replace both #jq_plot_chart id with the correct id. can be found by right-clicking the chart and pressing "Inspect"
        $('#jq_plot_chart').bind('jqplotDataClick',
            function (event, seriesIndex, pointIndex, data) {   
                console.log(event);
                console.log(seriesIndex);
                console.log(pointIndex);
                console.log(data);
                
                //for chart which used legend and x-axis, 
                var xaxis = $(".jqplot-xaxis-tick:eq("+pointIndex+")");
                var series = $(".jqplot-table-legend-label:eq("+seriesIndex+")");
                
                console.log("x-axis :" + xaxis.text());
                console.log("series :" + series.text());
            }
        );
     
        //for double click event. Please note the arguments are different.
        $('#jq_plot_chart').bind('jqplotDblClick',
            function (event, coordinate, points, data) {   
                console.log(event);
                console.log(coordinate);
                console.log(points);
                console.log(data);
    
                if (data) {
                    var xaxis = $(".jqplot-xaxis-tick:eq("+data.pointIndex+")");
                    var series = $(".jqplot-table-legend-label:eq("+data.seriesIndex+")");
    
                    console.log("values :" + data.data);
                    console.log("x-axis :" + xaxis.text());
                    console.log("series :" + series.text());
                }
            }
        );
    });
    </script>
    Note

     This code does not work with OHLC and candlestick charts.

    Note

    The code above only works for charts made with jqPlot


    The following code is for interactive charts made with eChart and should also be put in the "Custom Footer". You can find more about interactive ECharts here.

    Code Block
    languagejs
    <script>
    $(document).ready(function() {
        //ID of one's eChart can be found in html elements of the chart when launching the app
        //which can be found by right-clicking the chart and pressing "Inspect"
    	var aChart = echarts.init(document.getElementById('some_id'));
    
        aChart.on('click', function(params) {
          console.log("Click!");
    	  console.log("Data name: " + params.name);
          console.log("Data value: " + params.data);
        });
    });
    </script>

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