Chart Type Guide

Learn your options for data visualization with this comprehensive guide of charts available in SAP Analytics Cloud. In this guide, we give a quick description of each chart type and show you what it looks like in practice.

 

Charts are divided into the following categories:

  • Comparison
  • Trend
  • Correlation
  • Distribution
  • Indicator
  • More

 

Comparison

Comparison charts show comparisons between two or more categorical values.

 

Bar/Column

Bar/column charts are used to compare measures based on dimensions. The value of a measure is represented by the length of the bar, while dimensions provide the axis of the chart.

When bars are horizontal the visualization is considered a bar chart, vertical bars are considered a column chart.

When a color dimension is selected, bars or columns will automatically cluster to show the breakdown of the measure over the included dimension.

Stacked Bar/Column

An alternative to a clustered bar/column chart is to use a stacked bar/column chart. When bars/columns are stacked, they show the total measure divided into selected dimensions.

Combination Column and Line

This chart type displays one measure as a column and a secondary measure as a line. The two measures are usually displayed over a time dimension. This chart is useful for showing the relationship between two measures over a period of time.

Combination Stacked Column and Line

A combination stacked column and line chart should be used in a scenario when the goal is to show trends as well as a breakdown of a particular measure in relation to a dimension.

Waterfall

Use a waterfall chart when you want to show the positive and negative changes that a measure goes through according to a dimension (usually time).

Trend

Charts that fall under this category are typically used to show trends over time.

Line

With line charts you get an overall picture of your selected data by communicating upward and downward trends and overall volatility.

Line charts can also be used to track more than one data series on the same chart. This helps to reveal any correlation in trends.

 

Area

Like line charts, area charts are best used to depict a time-based relationship. However, area charts also represent volume and are most useful for communicating an overall trend over time, as opposed to individual data point values.

 

Stacked area charts can be used for multiple data series with part-to-whole relationships or to show a cumulative series of values.

Time Series

Another option to show trends over time is a time series chart. By choosing a time series chart you’ll easily be able to filter by different time periods.

A feature of the time series chart is the ability forecast future values based on historical data within the chart.

Correlation

The correlation chart type is used to show whether the value of one measure impacts the value of another. Color coding dimensions can deepen the meaning of correlation charts but is not always required for analysis.

 

Scatterplot

Use a scatterplot to find out whether or not there is a correlation between two specific measures.

Bubble Chart

To see the correlation between three measures, use a bubble chart. They display a measure on each axis and a third measure is reflected in the size of the bubble.

Cluster Bubble

This style of bubble chart is another way to show the value of a measure based on two dimensions. The best way to explore a cluster bubble chart in SAP Analytics Cloud is by hovering over each bubble to display the tooltips that contain more detailed information.

Distribution

Charts in the distribution category focus on displaying the distribution of values within a dataset

Box plot

Box plots show the distribution of data based on a five-number summary: minimum, first quartile, median, third quartile, and maximum. When datasets have single points with extremely high maximums or surprisingly low minimums they’re displayed as outliers.

The dimension tool tips on a box plot will show the breakdown of the five-number summary, as well as the number of outliers and values within the data.

Heat Map

The tiles on a heat map change color based on the value of the measure. Heat maps are a convenient way to represent a large volume of data points in a chart that’s easy to read.

 

Histograms

Histograms are easy-to-read charts that allow you to compare quantitative data in a visually compelling way.

Tree Map

The tree map chart type functions similarly to heat maps. The difference is that the dimension tiles change in size depending on the value of the measure. Tree maps are limited to a single measure and dimension per chart.

Radar

Radar charts are useful for seeing the distribution of values across dimensions and what the outliers are. They can be used to see which dimensions are scoring high or low for a particular dimension, making them ideal for displaying performance.

Indicator

Charts in the indicator category are a quick way to show current values or a level of progress.

Bullet
A bullet chart type can be used to indicate progress towards a goal. To use a bullet chart in SAP Analytics Cloud you must first establish thresholds for the measure you are working with.

Numeric Point

Use a numeric point chart type to show totals at a glance. Numeric points can also be enhanced with thresholds. When thresholds are enabled the color of the number changes to show where it falls within the threshold.

More charts

The charts in this category are used to show both part-to-whole relationships and distribution of measures.

 

Pie/ Donut

Pie charts and donut chart type are used to show the percentage of a type of dimension within a measure. The entire pie or donut should always add up to 100%.

Thresholds can also be added to pie/donut charts to show a quick view of a status of a dimension in relation to a goal.

Marimekko

The Marimekko chart is bar style chart type that communicates through width, rather than height alone. This allows for each bar to communicate two measures using the size of the bar as well as two dimensions by stacking values of dimensions in a single bar and the axis labels.