A chart is used to display data and further investigate a topic when tabular data does not adequately demonstrate meaningful relationships or patterns between data points. Bar charts and column charts are the most commonly used charts for tracking changes over time between different groups. You may use a graph maker made by FusionCharts to help you create the chart you need.
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The Difference Between Bar Chart and Column Chart
Both the Bar and the Column charts display data using rectangular bars where the length of the bar is proportional to the data value. Both charts compare two or more values. However, the difference lies in their orientation. A bar chart is oriented horizontally, whereas a column chart is oriented vertically. Although alike, they cannot always be used interchangeably because of the difference in their orientation.
Figure: Bar chart
Figure: Column chart
When to Use Bar Diagrams vs. Column Diagrams
Bar charts are suitable for displaying long data labels.
Column charts have limited space in the category axis. So, when your data labels are long, the category axis may look cluttered.
You can reduce clutter by either slanting or rotating the labels.
However, using the bar diagram will significantly improve the readability of your chart.
Bar charts are good for displaying a large number of data sets on the category axis.
The column chart is a good fit for a maximum of 10-12 data sets. However, using a column chart is not the best way forward when large numbers of data sets are needed.
A bar chart with the data sets placed one below the other would be a better choice in this case as it makes optimum use of space.
What about column charts?
Column charts are suitable for displaying data sets with negative values.
In a bar graph, negative values are displayed as bars on the left.
However, we associate negative values with the downward direction (as used by the column chart) than leftward (as used by the bar chart).
Ready to find out more about best charting practices?
Therefore, use the column chart when you have negative values in your data set.
In conclusion, while the column chart is helpful to facilitate all comparison-based analysis, it is better to use the bar chart when your data labels are long, or you have too many data sets to display.
Keep watching this space for more insights on charting best practices.
Happy Charting till next time 🙂
John Lynch
December 28, 2016, 2:11 amThe bar chart with the negative values are more effective
swarnam
February 24, 2017, 12:37 pmHi John,
As mentioned in the post, column charts would have better visualization when compared to bar charts and for comparison based analysis. Do share your thoughts on why bar chars seems to be more effective.
RANGASWAMY SARLA
January 18, 2017, 11:56 amHi
here i am using the basic version of fusion chart
and is this posible to set a legends in pie chart with out comparison
and in attribute the legends options are workimg or not
swarnam
February 24, 2017, 12:24 pmHi,
Yes, its possible to add legends for Pie charts. Do set the attribute “showLegend” as 1 in the chart element. Check out this fiddle.
Walid Gamal
April 13, 2017, 1:14 pmi use column chart design for ax report in visual studio 2010
i put many question in visual studio and ax Forms
but nothing help me to when i have one column it be very large
i want to control the width of columns
this problem take a lot of time
any help please
anonymous
December 27, 2017, 5:40 amColumn charts are good for displaying data sets with negative values
Noreen Breen
December 29, 2017, 11:15 amThe column chart is definitely a better option for showing negative information, he looks much clearer to the audience. I do like the bar chart when there is a lot of data to communicate its easier to read. Both have pros and cons
Cleta
May 5, 2018, 10:42 amNormally I do not learn article on blogs, however I wish to say that this write-up very forced me to try and do
so! Your writing taste has been surprised me.
Thank you, very great article.
Jonathan
May 7, 2018, 1:08 pmThanks Cleta!
Your kind words will help us push our initiatives to create awareness around data visualization.
Jatin Arora
July 8, 2018, 10:07 amExcellent ExplainAtion?