Latest Power BI and AI articles from RADACAD team
Power BI World Tour in San Francisco ran on 4th and 5th of October in Bay Area (Microsoft Sunnyvale). As a speaker, it is always a great opportunity for me and Leila to speak in such events and meet new people in the community. In San Francisco world tour, Leila and I presented 4 topics Read more about Download Slides of Presentations in Power BI World Tour San Francisco[…]
From 2016 we able to do machine learning inside the SQL Server 2016 and 2017. In these post series, I am going to show some tips and trips for that. such as set up R services in SQL Server 2016, how to be sure we able to do that, and also how we can see Read more about R in SQL Server – write R Scripts- Part 1[…]
In the last post, I have explained the d value for model ARIMA (p,d,q). In this post, I am going to show how to identify the p and q values as below. one of the main difference between exponential smoothing and Arima is that Arima considers the correlation of a value at a time with Read more about Time series Series with Power BI- Arima Model-Part 11[…]
I was interested in generating some dummy data to do some load testing in MS Azure and came up with a pretty nifty way to generate lots and lots of data using U-SQL. The tip is to simply create a small U-SQL custom generator and use it to extract from a dummy file. First I Read more about How to generate 1 billion rows using U-SQL[…]
Earlier this month (September 2017), in the new version of Power BI Desktop, a new type of chart announced; Ribbon Chart. The very first look and feel of this chart are similar to Stacked Column Chart. The question that might come into your mind is that; why another way of showing the same thing? The Read more about Ribbon Chart is the Next Generation of Stacked Column Chart[…]
In this post, I want to explain the ARIM model (Autoregressive Integrated Moving Average). Exponential smoothing could not consider the relationship between the values in the different time span. while ARIMA able to handle these data. ARIMA Model needs three variables. ARIMA(p,d,q) First, let start with explanation of d value what is d? The first Read more about Time series Series with Power BI- Arima Model-Part 10[…]
A couple of months ago, I’ve written a blog post about Basics of M and explained few basics about this language. In this post, I’m going to the next step and will explain few other structure definitions in this language. In this post, you will learn about Tables, Records, Lists, and how to navigate through Read more about Basics of Value Structures in M – Power Query Formula Language[…]
In the last posts, I have explained about some main concepts of Time series. How to decompose time series that has irregular, trend and seasonality components have been explained in: seasonality component decompose). now image we have a dataset that does not have any seasonality also does not show a clear trend. This data is Read more about Power BI and R- Timeseries series Part 9- Decompose None seasonal Data[…]
In this post I am going to show how to create a polar chart using R codes inside Power BI. imagin that we have below dataset about 4 main groups and their related values. I am going to show you how to draw different polar charts with different shapes. imagin that we have a bar Read more about How to create Polar Charts[…]
A recent post to the Power BI community desktop forums asked if it might be possible to allow a user to make a slicer selection that dynamically updates the x-axis. The idea would be to present the end user with a slicer on the report page with options of Year, Quarter, Month and Day and when Read more about Dynamic X axis on charts – Power BI[…]