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Visualization

Overview

With visualization widgets, you are able to draw different types of charts in real time.

Chart

You can insert charts for any given data using the Chart widget.

Data preparation

Please prepare the data in the following manner for the Chart widget to work:
  1. 1.
    The first row is the X axis. Values can be categorical or numerical.
  2. 2.
    The first column contains the names of the data series.
  3. 3.
    To view a copy of example data, click Example data.
  4. 4.
    To save the data, click Save.

Insert chart

As soon as the data is correctly prepared, the chart will automatically appear.
  • Choose a chart type to display the chart. See below for a list of supported chart type.
  • To download the chart data for your own analysis, click the Download button.
  • You can reload the chart from the data table by clicking on the Update button.
  • To modify other chart settings, click Edit:
    • Chart title - Please provide the title of the chart.
    • Data aggregation - Data aggregation is the process where raw data is gathered and expressed in a summary form.
      • Sum
      • Average
      • Max
      • Median
      • Min
    • Height - Chart height in px. Default to 300px.

Chart types

Labii support the chart of the following types:
  • Bar chart - presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent.
  • Stacked bar chart - The stacked bar chart (aka stacked bar graph) extends the standard bar chart from looking at numeric values across one categorical variable to two.
  • Line chart - displays information as a series of data points called 'markers' connected by straight line segments.
  • Monotone line chart - displays smooth curves between points
  • Area chart - displays graphically quantitative data.
  • Stacked area chart - Stacked Area Chart is plotted in the form of several area series stacked on top of one another.
  • Percent area chart - A percent stacked area chart is used to depict the series of data points with positive and negative values shown overtime to reveal values of multiple series for the same data point.
  • Pie chart - a circular statistical graphic, which is divided into slices to illustrate numerical proportion.
  • Scatter chart - A scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables.
  • Joint line scatter - Connect each dots with straight line segments.
  • Scatter with fit - Predicts the results with Least Squares Regression.