Customized Visualization Using Python in Power BI

Easy step to run python script in Power BI

The integration of Python with Power BI opens a huge opportunity in terms of more customized visualization and many possibilities in terms of extracting and cleaning of data as well.

Lets start

When this icon is clicked, the script editor opens with a visual tile that is empty.

Required fields can be added from the dataset that we are working , which internally creates a Pandas DataFrame. We can then write custom scripts using libraries like Matplotlib and Seaborn to create the custom visuals.

Before creating Visualization we will be importing following libraries

After running this script here is the output:

Create a line plot with multiple columns

Let’s create a line plot for each person showing their number of children and pets.

After running this code here is the output

similarly we can create many visualization using matplot.

First download and import Tips data in power BI.

This imports the visuals library that will allow you to create some cool visuals. let’s add to the code to get the visuals we want. The first visuals we will create is a violin plot. We are going to use the values that we added in which creates our dataset.

This plot used to see relationship between two variables.

Paste this code

The last plot we are going to create is the easiest. Its called a pair plot which is essentially an aggregation of all your dataset correlation similar in separate graphs. It gives you a quick and simple look at your correlations for deeper exploration.

Conclusion

Now that you know how to use your Python integration in Power BI, the possibilities to customize your visuals are endless to build amazing dashboards!

I hope this article will help you and save a good amount of time.

HAPPY CODING.

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