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Chart Types

The following chart types are available to build in CALUMO data views


Column charts are used to compare data from single or multiple data sets. They chart all data regardless of number of members expanded. X axis charts categories whereas y axis charts values. They are also stackable, with options in chart properties to stack and stack 100%. Stacking allows you to view the proportion of each data point within data sets. Within column charts you are also able to alter the axis position (left or right).


Bar charts are used for charting single and multiple data sets. Bar charts appear the same as column charts however are plotted horizontally. They may be preferable over column charts in charting values over extended time periods (due to the flipped axes). They chart all data and alike column charts, within chart properties you are offered options to stack and stack 100%.


Line charts are used to demonstrate relationships between data; often to reflect causation. Categories are distributed along the x axis and values across the y axis. They are the best chart type for plotting a data point over time. They chart all data given.


Area charts depicts a line chart with the area beneath the chart


Pie charts are useful when comparing proportions within a single data series (showing the relationships of parts of an individual whole). Comparisons can be made visually by comparing the proportion each sector takes up of overall sample space. They require a single column and multiple rows. They are best for one data set separated into multiple categories when your data has no negative or 0 values. Options for labelling appear in chart properties.If using a pie chart with 7 or more data points to be represented, it is best to use the flat colour palette, metro or metro black colour palette as these have 7+ colours, reducing the likelihood of two data points appearing merged within your pie chart.


Donut chart- Alike a pie chart, donut charts demonstrate the relationship of individual parts to a greater whole. Unlike pie charts however they chart all data, allowing you to chart one data series like a pie chart however adding additional data series (layers), with each data series displayed in a circular ring.


Funnel charts are useful for representing values across a process made up of multiple stages e.g. presenting stages in a sales process. Typically starts at 100% and moves down, depicting values which decrease sequentially, creating a funnel. Funnel charts chart select data, charting one dimension and one data series.


ubble charts allow you to chart three dimensions of relational data. Typically a bubble chart plots x and y data like a scatter chart with additional values that determine the size of the value (this is regardless of what data appears in each column). They may have infinite columns however only chart the first three columns.


Waterfall charts are used to demonstrate changes in an initial value (endpoints; these may be ascending or descending) with a series of intermediate values that appear between end points. e.g. may be used when forecasting profit, beginning with the current values and showing effects of changing input costs. When working with waterfall charts you should have two columns (which make up the start and end values), and multiple rows (which make up the intermediate values which explain the start and end data).

Chart Data Usage

There are two ways that charts use the data from their view, one category uses all the data in the view and the other uses a select set of data in the view.

You can read about the different types here:

Types that chart all data

Types that chart select data

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