Overview of Charts


A chart is a visual presentation of data in which the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart. A chart can represent tabular numeric data, functions or some kinds of qualitative structure.

Charts allow viewers to quickly and seamlessly view comparisons and trends than looking at the raw data.

Chart Type Definition
Line  This chart type shows a series of data points connected with a line. Line charts are most often used to visualize data that changes over time.
Column This chart type displays data as vertical bars.
Cluster Column This chart type is used to compare multiple categories of data within individual sub-items and between sub-items. E.g, to compare revenue for each year within each region, and between regions.
Stacked Column This chart type allows you to compare items in a specific range of values and to show the relationship of the individual sub-items with the whole. E.g, the overall revenue for each year and the proportion of the total revenue by each region.
Bar This chart type is exactly the same as a column chart, only the x-axis and y-axis are switched.
Cluster Bar This chart type displays more than one data series in clustered horizontal columns. Each data series shares the same axis labels, so horizontal bars are grouped by category.
Stacked Bar

This chart type allows you to see the size of a group relative to other groups, but also shows the parts that make up the whole group.

Pie This chart type is a circular chart divided into sectors that are proportional to the quantity that each sector represents.
Geo This chart type allows you to visualize data broken down by geographic regions.
Guage This chart type is used to present KPIs, for example, on an executive dashboard to easily see a performance result.
Bubble This chart type is used for comparing the relationships between data objects in 3 numeric-data dimensions: the X-axis data, the Y-axis data, and data represented by the bubble size.
0 out of 0 found this helpful



Article is closed for comments.