Dataviz - display some graphs

Principle

With the dataviz panel, you can create a few kinds of graph with only a few clicks:

  • scatter
  • pie
  • histogram
  • box
  • bar
  • histogram2d
  • polar
  • sunburst Lizmap 3.4
  • HTML Lizmap 3.4
../../_images/publish-01-dataviz-interface.jpg

Prerequisites

The layer must be published as WFS (see OGC Services Capabilities) and the primary key must be published as well in the Layer properties.

Configuring the tool

Tip

You can start using the plugin DataPlotly to create your graph in QGIS itself. So you can have a preview about what is possible more or less about dataviz with your layers. But keep in mind that Lizmap and DataPlotLy, even if’s using the same dataviz engine (plotly https://github.com/plotly/plotly.py ), features are different between these two tools.

You can easily configure it with the plugin Lizmap in QGIS in the Dataviz panel.

At the layer level

../../_images/interface-publisher-dataviz.jpg
  • To enable a layer with dataviz capabililities:

    1. Click the add_layer_svg button.
    2. Select the type of chart to add. According to your choices, the form will adapt it self.
    3. Title : Here you can write the title you want for your chart.
    4. Description : The description of the chart. You can include HTML.
    5. Select the layer in the drop-down list.
    6. X field : The X field of your graph. It might be empty for a few types.
    7. Aggregation : For a few types of charts like bar or pie, you can chose to aggregate the data in the graph. There are a few aggregate functions available - average(avg), sum, count, median, stddev, min, max, first, last.
    8. Traces : Depending of the kind of chart, you can add one or many traces : the Y field of your graph.
    9. Depending of the kind of chart, there is now different options.
    10. Layout : The layout can be customized. It must be a JSON dictionary. You can read the documentation of Plotly documentation about the layout configuration https://plotly.com/javascript/reference/#layout
    11. Display filtered plot in popups of parent layer : if you check this checkbox, the children of your layer will get the same graph as the parent plot but filtered only for them. It’s useful if you want to see the statistics of one entity instead of all.
    12. Only show child popup : The main graph will not be shown in the main container and only the filtered graph of the relation of the layer will be displayed in the popup when you select the element.
    13. Display the legend, sometimes, the legend is not necessary.
    14. Display plot only when the layer is visible.
    15. Some options might be visible or not according to the kind of chart, like choosing for horizontal/vertical layout for a bar chart.
  • To edit a layer in the table, select it and click the edit_layer_svg button or double click on the row.

  • To remove a layer from the table, select it and click the remove_layer_svg button.

  • To move a layer up or down, select it and click down_layer_svg or up_layer_svg buttons. The order will change in Lizmap too.

  • Fields will be displayed with their alias if it’s defined. See Add a alias on a field.

At the project level

../../_images/interface-dataviz.jpg
  1. You have the possibility to change the value to dock, bottomdock or right-dock these options change where your dataviz panel will be located in your Lizmap’s project. You have 3 positions available, at the right of the screen, bottom and right.
  2. You have the possibility to write in HTML the layout of the container of your charts. If you are proficient in the HTML language, there are a lot of possibilities and you can customize your container the way you want.

For instance, this bootstrap HTML code will produce the layout below:

<div class="container-fluid">
    <div class="row-fluid">
        <div class="span6">$0</div>
        <div class="span6">$1</div>
    </div>
    <div class="row-fluid">
        <div class="span12">$2</div>
    </div>
</div>
../../_images/publish-03-dataviz-html-example.jpg

JSON layout

The layout option, allows you to configure many options by writing up a JSON object. See the full reference: https://plotly.com/javascript/reference/#layout

The following examples show how to use some properties depending of the layout property:

  • Add units in the Y (vertical) axis numbers:
// Add " ha" suffix
{"yaxis": {"ticksuffix": " ha"}}
  • Remove labels in the X (horizontal) axis:
// Hode X labels. Use yaxis for Y labels
{"xaxis": {"showticklabels": false}}
  • Remove the automatic k, M or G suffix (ex: 10 M) for big number in the axis and in the hover tooltip:
{"yaxis": {"tickformat": ",.2f"}}
  • Order of the bars for a bar chart. Use ascending or descending values:
// By ascending X value
{"xaxis": {"categoryorder": "category ascending"}}

// By descending bar height (total Y value)
{"xaxis": {"categoryorder": "total ascending"}}
  • Set margins. Use l for left, t for top, r for right and b for bottom:
// Shift the plot to the right (to display big Y axis labels)
{"margin": {"l": 70}}
  • Define font properties:
// Change X axis font size
{"xaxis": {"tickfont": {"size": 10}}}
  • You can combine any of the properties, for example:
{
    "xaxis": {
        "categoryorder": "total ascending"
        "tickfont": {
            "size": 10
        }
    },
    "yaxis": {
        "showticklabels": false
    }
}

Miscellaneous

  • For pie chart : the items in the legend are ordered by X as a default behaviour.
  • QGIS Field aliases are used in the tooltip when hovering the bar or pie slices.

Examples

You can visit the Cats project on https://demo.lizmap.com