The final chapter of our three-part series 'Data Analysis using SQL'. A quick-to-follow-along series to help you take over the Android Marketplace Analysis.
Part two of our 'Data Analysis using SQL' using the real-life Android Apps Dataset. A guide to answering some business questions using SQL.
This post will guide you through writing SQL queries using a real-life dataset of Android apps to answer some analytics-oriented questions.
Learn about some of the top classification metrics every data scientist should know.
It is a very interesting fact that the colour white has the highest resale value, ever wondered why? It is all the game of demand and supplies, the people generally tend to buy a white used car than a green, grey, or custom one. Similarly, we have been drawing inferences
Another business problem for your SQL and tableau learning regime. Here we'd be dealing with the code and how to visualize it in Tableau. > Dataset: Vehicles.csv [../input/vehicless] What makes a car worth buying? It is the cost-effectiveness and a brand name that is linked to it. All the
This post walks you through the SQL queries in the Kaggle python notebook and shows you how to visualize them using Tableau. We are taking the following dataset for our reference: > Dataset: Used Cars Dataset [https://www.kaggle.com/austinreese/craigslist-carstrucks-data] How has the price of vehicles changed over the