Types of Charts

The types of charts available in LiveBook are described here.

Some chart types are only available in Charting Presentations, while others are only available in the Data Study view. Most are available in both. Each chart type notes the availability of the chart in each view. 

Type of Chart

Description

Area

  • Data Study
  • Charting

Tracks one or more data series graphically, like changes in value between categories of data.

Bar

  • Data Study
  • Charting

Shows the difference between the data points for one or more categories. 

Column

  • Data Study
  • Charting

Shows one or more categories, or groups, of data, especially if each category has subcategories. 

A column chart requires one alpha field and one/many numeric fields. Each numeric field will represent a column on the graph.

DataGrid

  • Data Study
  • Charting

The data, count, sum, average, min, or max can be displayed in a tabular format. The Charting package allows LiveBook table formatting to be applied to the data (apart from the legend). 

Histogram

  • Data Study
  • Charting

Groups numeric data into bins, displaying the bins as segmented columns. The bins are defined by Histogram size. 

Line

  • Data Study
  • Charting

Shows trends or data over a period. 

Line charts require one alpha field and at least one numeric field (can have many). Each numeric field is represented by a line on the graph. 

Pie Chart

  • Data Study
  • Charting

Shows data as slices of a pie (proportions of a whole). 

A pie chart requires one alpha field and one numeric field. Each numeric field is represented by a slice on the graph. 

Point

  • Data Study
  • Charting

Displays the data as points on a chart. 

Spline

  • Data Study
  • Charting

Draws a curved line between the points in a data series. 

Like line charts, spline charts are commonly used to emphasize trends in a data set over equal time intervals. 

Spline charts require one alpha field and at least one numeric field (can be many). Each numeric field is represented by a line on the graph. 

Stepped Area

  • Data Study
  • Charting

Highlights differences and emphasizes change via a series of graphically represented steps. 

Stacked Area

  • Data Study
  • Charting

Shows part-to-whole relationships to find trends in data.

Stacked Area charts require one alpha field and multiple numeric fields.

Stacked Area 100

  • Data Study
  • Charting

Shows part-to-whole relationships and finds trends in data when the cumulative total isn't important.

Stacked Area 100 charts require one alpha field and multiple numeric fields.

Stacked Bar

  • Data Study
  • Charting

Shows part-to-whole relationships.

Stacked Bar 100

  • Data Study
  • Charting

Use a 100% stacked bar chart to show relationships between individual items and the whole in a single bar when the cumulative total isn't important.

Stacked Column

  • Data Study
  • Charting

Use a stacked chart to show part-to-whole relationships. 

Stacked Column 100

  • Data Study
  • Charting

Use a 100% stacked column chart to show part-to-whole relationships when the cumulative total is not important.

Combo

  • Charting

Charts multiple fields on the same table using any combination of line, bar, or area displays.

Bubble

  • Data Study
  • Charting

A Bubble chart is like a scatter diagram, but it can show data with up to 4 dimensions.

The first 2 dimensions are horizontal (x) and vertical (y).  The third is color and the fourth is the size of the bubble.

Scatter

  • Data Study
  • Charting

Plots two numeric variables along the horizontal (x-axis) and vertical (y-axis) axes to look for trends and patterns between the two variables.

Scatter charts require one alpha field and two numeric fields. Color-coding from the table view can be applied to the points on the scatter chart. 

Points can also be given different shapes based on the value of a specified demographic field. 

Scatter plots can also be annotated by displaying names on the points. 

Tree Map

  • Data Study

A visual representation of data showing the x-axis field in rectangles that are sized and colored based on the y-axis field value.

Area-Min.-Avg.-Max

  • Charting

The area is bounded by the minimum and the maximum. The average displays as a line through the area. 

Line-Min.-Avg.-Max.

  • Charting

Displays the minimum, average, and maximum on separate lines.

Line-Percentile

  • Charting

Quartiles, upper values, lower values, and the median for the data set are displayed as lines. 

Box-Whisker

  • Charting

Displays data variation through quartiles. The lines extending parallel from the boxes are known as "whiskers" and indicate the Min and Max. 

The box represents the first quartile and third quartile. The point within the box is the median. 

Radar

  • Charting

Displays the data points evenly spaced clockwise around the chart with one spoke for each variable. The center represents the minimum value and edge represents the maximum value.

 

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