Author avatar

Deepika Singh

Waterfall Charts in Power BI

Deepika Singh

  • Nov 20, 2020
  • 5 Min read
  • 107 Views
  • Nov 20, 2020
  • 5 Min read
  • 107 Views
Microsoft Power BI
Data
Business Intelligence
Data Analytics

Introduction

Waterfall charts are an extension to normal visualization charts. They show the incremental journey of the values of a variable, and are useful to track changes in data over time. The waterfall chart is useful to understand how an initial value such as sales is affected by a sequence of positive and negative changes. This guide will demonstrate how to implement waterfall charts in Power BI desktop.

Data

In this guide, you will work with a fictitious sales data of ten years. The data contains ten observations and three variables. You can download the dataset here. The variables to be used in this guide are described below:

  1. Date: Last day of every year.

  2. Sales: Annual Sales (in $ million) of the year.

  3. SalesVar: Incremental sales (in $ million) every year with respect to the previous year.

Start by loading the data.

Loading Data

To begin, open a new Power BI Desktop canvas and save it as PowerBI Visualization.

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The next step is to load the data. Click on Get data option and select Text/CSV from the options.

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Browse to the location of the file and select it. The preview of the data is shown, and once you are satisfied that you are loading the right file, click Load.

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You have loaded the file, and the Fields pane contains the variables of the data.

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Adding Visualization

You can locate the Waterfall chart in the Visualizations pane. Click on the chart and it will create a chart box in the canvas. Nothing is displayed because you haven't yet added the required visualization arguments.

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You can resize the chart on the canvas, and the next step is to fill the visualization arguments. Drag the Date variable into the Category field, and SalesVar variable in the Values field. You will see that the chart is created in the canvas.

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From the chart you can infer that the sales growth was negative in the years 2014, 2015, and 2020. Further diagnostic analysis can be done on the data to understand the reasons behind the degrowth. For example, sales degrowth in 2020 could be because of COVID. This will help you decipher the data.

Formatting the Chart

There are several formatting options available. To begin, you can go to the Format field, and turn on Data labels as shown below. This will display the values in the chart.

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You can see that now the incremental value is displayed in the chart. This allows you to understand better the years when the sales growth was positive or negative.

The other formatting option you can do is to change the Sentiment colors of the chart. Click on the option and you will see different colors to depict Increase, Decrease, and Total. You can change these colors as per your preference.

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Conclusion

Waterfall charts can be a powerful tool to use if you want to track changes over a measure across time dimension. This will be useful for time series analysis across sectors such as retail, ecommerce, shipping and logistics, which applies time series forecasting to its operations. It can also be used across domains such as human resources to audit the headcount change across a time period. This is a common task and is sector agnostic in nature, which means it has applications across industries such as banking and financial services, manufacturing, utilities, ecommerce, retail, etc. This skill will improve your descriptive analytics and business intelligence capabilities.

To learn more about building powerful visualization in Power BI desktop, please refer to the following guides:

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