All you need to know about Column Chart and Bar Charts in Power BI
Let’s start to explore various versions of Column and Bar charts in Power BI. These two charts are fundamental charts to understanding the trends and patterns.
To start with, we need to clarify data into three categories:-
- Categorical Data or we can say labeled Data like Category, Region
- Numerical Data like Sales, profit, and Quantity.
- Date — Year, Date, Month
It is important to note that while creating a chart the X-axis contains Categorical Data, and Y -the axis numerical data.
READABILITY is the most important concern of the selection of the charts.
In Power BI there are various types of Column and Bar Charts listed:-
- Column Chart
- Bar Chart
- Stacked Column Chart
- Stacked Bar Chart
- Clustered Column Chart
- Clustered Bar Chart
- 100% Stacked Column Chart
- 100% Stacked Bar Chart
Now we will explore all of the charts in detail where these charts are fit (Readable), OK(not perfect but readable), and unfit(not readable).
The only difference between a Column Chart and a Bar Chart is Orientation nothing else.
Column Chart and Bar Chart:- When we have one categorical (1C) data and one numerical(1N) data best chart to choose is the Column Chart or Bar chart.
When dealing with categorical data on both axes, both Column and Bar charts in Power BI typically count the occurrences of categorical data on the Y-axis.
But when we have both numerical data then these charts are unfit to read the data
Stacked Column Chart or Stacked Bar Chart:- these two charts are similar to Column Chart and Bar Chart the only difference is that when we add a categorical legend to the chart it will make a Stacked Chart
But when we have three categorical data then we can read it but the chart will make a count of Y-axis categorical data
But, when we have 2 numerical data and 1 categorical data or 3 numerical data then these two charts are unfit for them.
Clustered Column Chart or Clustered Bar Chart:- For the scenario where the data is equally stacked in stacked charts and the client prefers not to show the labels on the stack then it’s challenging to read or understand the chart. In such cases, Clustered charts proved to be more effective. Clustered Column or Clustered Bar Charts enable users to visualize the distribution of data within each category more clearly. these charts have all the properties same as Stacked charts the only difference is stack and cluster.
100 % Stacked Column Chart or 100 % Stacked Bar Chart:- When the objective is to represent the data(1N) in percentage within the category(1C) and with multiple regions(1C), the 100 % stacked column or 100 % bar chart proves to be the most suitable choice.
Conclusion: Finally, We can say that if we have 1C +1N data without any thought we can choose the Column and Bar charts, and if we have 1C+1N+1C and we want to represent the data in without % and in one stack then the best chart is column and bar stacked chart or want to show in clustered then clustered and lastly if we want to represent the data in % form then we have to choose the 100 % stacked column and bar charts
Happy Learning….!!!
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