Different webpages are rich source of data. Either structured or unstructured, these data are very useful and can provide good insights. Power BI has recently added and enhanced the existing feature of data extraction from the web. This feature was already compelling, with the recent enhancement it has become even more powerful. In this article ... Read more

Joining tables is an important feature to combine information from several tables. We can join tables in Power BI desktop with a very nifty merging feature provided with it.. In this article, I am going to demonstrate how to join tables in Power BI desktop with some practical data. The data are all open source. ... Read more

Map visualization in Power BI is a very useful feature to show location-wise values. In this article, I will demonstrate how to use this feature with a practical example. I have used maps a lot with ArcGIS to create boundary maps and display locations as supplementary information. It certainly requires expertise and considerable time. Being ... Read more

Measures in Power BI are really a beautiful feature. They are fast in the calculation, has the benefit of reusability. Measures can be applied to multiple tables. We create measures to obtain counts, averages, sums, ranking, percentiles, aggregating year to dates and many more handy calculations. Measures are dynamically calculated. And most importantly it gets ... Read more

Data model relationships are the core of Power BI. The report preparation and visualization becomes very easy if data modelling is done well. So here in this article, we will discuss data modelling relationship with a simple example. A common misconception among Power BI users is that Power BI is all about visualization. But that ... Read more

Microsoft’s Power BI is a very popular and most frequently used data visualization business intelligence tool. This is an introductory article on Power BI which will be followed by a series of practical problem-solving articles. So it will be “learning by doing”. Data exploration and visualization is the most basic yet very important step in ... Read more

This article presents a thorough discussion on how to perform Exploratory Data Analysis (EDA) to extract meaningful insights from a data set. And to do this I am going to use Python programming language and its four very popular libraries for data handling. EDA is considered a basic and one of the most important steps ... Read more

This article discussed two very easy fixes for this problem faced by almost all Jupyter notebook users while doing data science projects. I have faced this issue myself while working folder of Jupyter notebook, the most preferred IDE of data scientists.

What is web scraping in data science? Web scraping, also known as web harvesting or screen scraping or web data extraction is a way of collecting a large amount of data from the internet. In data science, especially in machine learning, the accuracy of the model is largely dependent on the amount of data you ... Read more

To deploy machine learning(ML) models means to take a machine learning model from development to production. You have built an ML model, validated and tested its performance. But what its use if it is not utilised to solve real-world problems? Deploying a model means making an ML model production-ready. Here in this blog, we will ... Read more