New Series of Time Series: Part 1

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[…]

Optimization Problem in Power BI using R scripts: Part1

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[…]

Table with Embedded Chart in Power BI using R

Visualization is any kind of graphical representation that enable us to: Exploration, it help us to get more deep insight through huge amount of data Discovery, It also gives extra vision Analysis, it can be used to find pattern Communication, visualization help us to communicate better A few years ago Dr. Andrew Abela published a good Read more about Table with Embedded Chart in Power BI using R[…]

Interactive Charts using R and Power BI: Create Custom Visual Part 3

In the last two posts (Part 1 and 2), I have explained the main process of creating the R custom Visual Packages in Power BI. there are some parts that still need improvement which I will do in next posts. In this post, I am going to show different R charts that can be used Read more about Interactive Charts using R and Power BI: Create Custom Visual Part 3[…]

Interactive Charts using R and Power BI: Create Custom Visual Part 2

In the last posts, I have explained the main process of creating R custom visuals. In this post I am going to show how to: 1- Have more custom visuals 2- Different charts that we can have in Power BI 3- Explain some issues Have more custom visuals to have more R visuals, it is Read more about Interactive Charts using R and Power BI: Create Custom Visual Part 2[…]

Interactive Charts using R and Power BI: Create Custom Visual Part 1

I am so excited about using Plotly packages in Power BI. So What is Plotly: is an R package for creating interactive web-based graphs via the open source JavaScript graphing library: https://plot.ly/r/getting-started/ this feature has been added recently and had been announce by Christian Christian Berg in Data insight summit 2017. I started to search about Read more about Interactive Charts using R and Power BI: Create Custom Visual Part 1[…]

Speaking Files in Microsoft Data Insight Summit 2017

Microsoft Data insight Summit 2017 has been held in Seattle from 12 to 13 Jun. It is the main conference for Microsoft Data Analysis with Power BI. All interesting and new topics in Power BI has been presented. Most of the speakers are from Microsoft product team or  experienced speakers in this fields. there are Read more about Speaking Files in Microsoft Data Insight Summit 2017[…]

Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)

In the previous posts (from Part 1 to Part7), I have explained the whole process of doing machine learning inside the Azure ML, from import data, data cleaning, feature selection, training models, testing models, and evaluating. In the last post, I have explained one of the main ways of improving the algorithms performance name as “Tune Read more about Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)[…]

Azure ML Part 8- Tune Parameters: Machine Learning Prediction (5)

In the previous posts from Part 1 to 7, I have explained how to do machine learning with Azure ML. I have explained some of the main components in Azure ML that helps us to do data wrangling, train the model, feature selection and evaluating the result. The data cleaning such as SQL transformation, select Read more about Azure ML Part 8- Tune Parameters: Machine Learning Prediction (5)[…]

Azure ML Part 7: A Machine Learning Prediction scenario (4)

In the previous posts from Part 1 to 6, I have explained how to do machine learning process. The data cleaning such as SQL transformation, select specific columns, remove missing values,  Edit meta data, and normalize data.  Also, I have explained how to find relevant attributes  using Feature Selection Feature to identify which feature are more Read more about Azure ML Part 7: A Machine Learning Prediction scenario (4)[…]