Forecasting is an important aspect of data analysis, as it allows businesses to make informed decisions about the future based on historical data. One efficient way to perform this task is by utilizing Power BI forecasting model using Python. Power BI is a popular business intelligence tool that allows users to create interactive data visualizations,
Parallel coordinate plots are a useful visualization tool used to show relationships between multiple variables sharing the same numerical data. In Power BI, these plots are created with very simple Python code that you can use and easily create and stylize. In today’s blog, we will learn how to create multi-variate or parallel coordinate plots
In this tutorial, you’ll learn how to create a three-dimensional (3D) scatter plot using Python in Power BI. Python is a programming language that is widely used for data analysis and visualization. It’s a powerful tool for creating interactive plots and charts. You can watch the full video of this tutorial at the bottom of
In data analysis, key influencers are variables that have a significant impact on a dependent variable. In other words, they are the factors that contribute the most to the outcome of interest. In Python, linear regression is used to identify key influencers in a dataset, and to measure the strength and direction of the relationship
In this tutorial, we’re going to discuss how to use Python user defined functions and how to create them. User defined functions can help you break down large programs into small parts to make them easier to debug, maintain, and understand. User defined functions are also great for storing repeated codes in a program. We
