In this post, we will explore how to generate large sample data in Fabric. Why do we need to Generate Large Sample Data in Fabric? I can think of many many reasons to generate large sample data in Fabric but one of the reasons I see as crucial is for testing performance or to help us decide which tier we should buy for now or in the future. Today, Fabric offers built-in sample datasets, but they may not suffice for…
In Power BI Desktop with Query Editor we can perform advanced custom transformation using Python or R script.
In this short post, I show how we can pass parameters to python script.
By now there’s plenty of good tutorials that explain how to create your own visualisations in Power BI by using R or Python like the Microsft one here.However, I haven’t seen any articles on how to create dynamic visuals by using Python (or R).So in this post, I’m going to show a very simple and fast way to create your power bi visuals by using python. (Same can be done using R) Goals of this Post Create visuals by using…
I have two laptops with Anaconda installed on both and I had some issues to find a working solution to configure the start in folder of Jupyther so I though it’d be a good idea to post the two solutions that worked for me. Using PowerShell command Open the windows powershell prompt or the powershell Anaconda prompt and type the following: This will generate a file to your user default directory: C:\Users\username\.jupyter\jupyter_notebook_config.py Then open this file in any Editor and…
When plotting figures with matplotlib you might want to change the size of the figure displayed. So here is a quick trick to adjust the size import matplotlib.pyplot as plt #Inside your plot code just type the following line of code #Set the plot width to 12 inches and height to 6 inches plt.rcParams[“figure.figsize”] = [12,6] For more details see the figure documentation .