About a couple of years ago, I wrote two articles about what is association rules and how we can have them in Power BI.In this post, I am going to put some more enhancements and show you how with data that is not cleaned how you can create Market Basket Analysis. these enhancements are about Read more about Market Basket Analysis in R Part 3[…]
There are always many questions about a cheat sheet to shows the existing capability for doing AI and ML in Power BI service and Desktop. In the above chart, I have summarized the capability of doing AI and ML in Power Service and Desktop for each role. I have identified three main roles in Read more about Overview of Available AI and ML capabilities in Power BI[…]
In the last posts (Series of Time Series), I have explained about what is ARIMA, what is d,p, and q in ARIMA (p,d,q). In this post, I will talk about how to use ARIMA for forecasting and how to handle the seasonality parameters. in the last example for the age of death of the England king, Read more about Time series Series with Power BI- Forecast with Arima-Part 12[…]
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 this post, I am going to show how we can do time series inside Power BI using custom visual from Office store. First you need to download custom visual from office store, to download R custom visual please follow the below link https://store.office.com/en-001/appshome.aspx?ui=en-US&rs=en-001&ad=US&clickedfilter=OfficeProductFilter%3aPowerBI&productgroup=PowerBI now we are going to download some timeseries custom visuals Read more about New Series of Time Series: Power BI Custom Visual (Part 4)[…]
In the last post , I have explained the main concepts behind the timeseries. In this post, I am going to show how we can forecast for some periods. In the last post, I have mentioned that there is a possibility to have “seasonality” “Trend” and errors (residual) in one dataset: Seasonality+Trend+Residual we call it as Read more about New Series of Time Series: Part 2 (Exponential Smoothing)[…]
In this new series I am going to look at the time series models and how we able to use them for forecasting data. The first need in timeseries data is to have a series of data for years or for some qurdant. imagin that we have a time series data on birth rate from Read more about New Series of Time Series: Part 1[…]
As I have discussed before, R is not only for doing Machine Learning (despite it is a really good tools for it), it also can be used for helping managers to so decision support. In the last two posts (Post 1 and 2), I have explained the main concepts behind the optimization problems. Also, how Read more about Optimization Problem in Power BI using R scripts: Part 3[…]
In the last post, I have explained the main concepts and usage of “Optimization” problems and “Linear Programming”. In this post, I am going to explain a simple example of solving an optimization problems from [1]. Imagin, we have a company that produce Product 1 and Product 2, we want to maximize the profit of Read more about Optimization Problem in Power BI using R scripts: Part2[…]
There are some traditional problems in most of industries like how we can reach maximum profit, sales, production or how we can minimize our cost and loos. These types of problems can be seen in different areas such as microeconomic and company management, such as planning, production, transportation, technology . Although the modern management issues Read more about Optimization Problem in Power BI using R scripts: Part1[…]