QuickDataScience | Quick & Easy Data Science

  Microsoft Power BI, a name that we all have heard a lot, is also quite famous in the field of Data Science. So, let's look at each aspect of it, including What it is, Why to use it, Who should use it and How to use it? What is Power BI? The first question that comes to mind is What is Power BI? Before we begin, let's see the Official definition of Power BI, Power Business Intelligence.  Microsoft defines it as:-  Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want. Wikipedia defines it as:-  Power BI is an interactive data visualization software product developed by Microsoft with a primary

Welcome to the 2nd Post in the series of Data Visualization, one of the most loved/followed topics of India — IPL (Indian Premier League) (Part 1) In this, we will be focusing on the various analysis based on the Teams. Overview of the Data Set Description of columns of IPL Dataset Let’s Begin by Checking Data in these columns IPL Data Set 1 Overview IPL Data Set 2 Overview Moving towards the most interesting part, Visualize the dataset and relations. Let's begin by having a look at the total wins by each Team since 2008... Team VS No. of Match Wins The above Bar chart shows the top 5 teams with the most number of Match Wins across all the seasons. Surprisingly, RCB in among the top 5 still hasn’t won any IPL Season. Now Let’s have a look at these wins Team VS Wins based on runs/wickets The above Bar chart is a detailed version of the previous graph which shows the top 5 teams with the most wins divided by wins achieved batting first and batting second. Blue Bars represent the wins

Welcome to the First Post in the series of Data Visualization, of one of the best time passes and Entertainment for people around the globe — Netflix. We will be going through the dataset and having an overview of the content present on Netflix. Let’s have an overview of the dataset. Description of columns of Netflix Dataset Moving on.. and giving a look at the data present in these columns Netflix Data Overview Let’s Move forward and start with visualizing the data and getting some insights about the data. Firstly, let's see the number of shows based on the type present with us. Number of shows based on types From the above graph, we can notice we have around 5400 Movies data and 2400 TV Shows data present with us. It indicates that No. of movies released on Netflix is higher than the No. of TV Shows released & we can say Netflix is considered more to cinema halls rather than TV sets. Now let’s have a look at the countries producing the most No. of shows for Netflix. Top 20 co