## Time series Series with Power BI- Forecast with Arima-Part 12

Posted on Oct 17, 2017

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, ...

## Time series Series with Power BI- Arima Model-Part 11

Posted on Oct 2, 2017

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 ...

## Ribbon Chart is the Next Generation of Stacked Column Chart

Posted on Sep 27, 2017

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 ...

## Time series Series with Power BI- Arima Model-Part 10

Posted on Sep 25, 2017

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 ...

## How to create Polar Charts

Posted on Sep 18, 2017

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 ...

## Draw Slope Chart in Power BI: Part 8

Posted on Sep 5, 2017

Slope chart can be used for comparing data between two different time periods. it is a very easy way to depict the difference between to time, two elements or any other two attributes. The slope charts can be used to study the correlation between variables or to study the change in the same variable between ...

## New Series of Time Series: Power BI Custom Visual (Part 7)

Posted on Aug 29, 2017

In the last three parts, I have explained about the time series R custom Visual we have in Power BI. as you remember we have 3 main time series chart in Power BI store (see below): Decompose of time series (trend, seasonality and irregular components). the two other custom visual help us to do forecasting ...

## New Series of Time Series: Power BI Custom Visual (Part 6)

Posted on Aug 25, 2017

In the last post, I have explained how to do time series forecast using “Exponential Smoothing” approach in Power BI. I start to explain the main parameters that we need to set up. The main concepts behind of most of these parameters have been explained in previous posts (Post 4, Post 3, Post 2, and ...

## New Series of Time Series: Part 3 (Holt’s Exponential Smoothing)

Posted on Aug 7, 2017

In the last posts, I have explained the main concepts behind the Timeseries (Post 1) and  in the second one a simple forecasting approach name as “Exponential Smoothing” has been proposed Post 2. In this post I am going to show how to do see the error of forecasting and also how to forecast when ...