Column Chart
Last updated
Last updated
A column chart is used when you want to compare the values of individual data points with another. They help in bringing out the highs and lows of the data set. The Column chart is a data visualization where each category is represented by a rectangle, with the height of the rectangle being proportional to the values being plotted. Column charts are also known as vertical bar charts.
Column charts are suitable for displaying data sets with negative values
Example: To find the best and worst performers in an organization
Variations of this chart Use stacked Column charts: Where multiple categories can be clubbed together on top of each other, which makes addressing multiple questions easier.
Use column side by side: Where comparison between multiple categories becomes easier instead of toggling between charts.
Add color for quick insight: Displaying the columns with colors will make users pay quick attention to important tasks.
The user can Enable the Auto axis, the Base Zero value, Horizontal & Vertical marker line, zero marker line and can change the color of lines, increase and decrease the color Transparency by opacity.
The user can change the background color of the chart, can get the border for the chart and can change the border color, can get the reflection of the chart by enabling the shadow option can also change the color and increase & decrease the transparency of the shadow.
The user can enable the “Enable Context Menu”, then it is possible to download the reports in different formats if we click on the chart from the preview section. The heading and subheading of that downloaded chart and the name of the downloaded file can be changed from this section.
The user can change Y-Axis values in units to %, T, Lacs, M, etc. Precision if we want the value in decimal format. Currency if we want the value in INR, Pound, USD. Position of the currency if it's in prefix and currency in Rupee then the sign will be seen in left-side if it's in suffix then it will be seen in right-side. Number Formatter if we want it in Indian or international.
The user can change the height, width, top, left, chart type, column type & Line form. In this case, we have changed the chart type to Clustered & Base form to Rectangle, gradient1.
The user can enable the internal legend if we want to show and can change the font size, color, style, etc.
The user can enable the subtitle if we have any second title and also, we can change the Name, Font color, size, style, etc.
The user can change Title Name, Font color, size, style, etc.
The user can show the description of the series can use the tooltip by enabling it.
The user changed the axis name, Font color, Font size, Enable the axis line, and changed the axis color.
The user changed the axis name, Font color, Font size, Enable the axis line, and changed the axis color.
The user can change the color of each series by selecting any of the series and also, we can Enable the Data Label which shows the Value of each Revenue & Expenses.
The following data was used to generate the given example:
Use the Year column as Category field, and the other columns as Series to plot data as shown in the given examples below:
2011
85
80
2012
100
95
2013
120
135
2014
140
180
2015
120
160
Please Note: The Category field can be any data type line, string, or numeric. But, Series fields can be only numeric data type.
The following variants of the Column chart can be seen by changing the chart properties:
