Chart
Labii's "Chart" widgets offer a dynamic way to visualize data in various chart types, including bar charts, line charts, area charts, pie charts, and more.
Overview
Labii's "Chart" widgets offer a dynamic way to visualize data in various chart types, including bar charts, line charts, area charts, pie charts, and more. These interactive widgets enable users to easily switch between different chart types to best represent their data, gaining valuable insights and perspectives. Additionally, users have the flexibility to download the source data for further analysis, making it an ideal solution for data exploration, visualization, and reporting. With Labii's "Chart" widgets, users can effortlessly create, customize, and share their data stories.
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.
Download
For additional data analysis, you can always download the raw data. Click Download button to download.
Widgets
Here are a list of widgets under the chart category:
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