It is tough to understand whether analyzing data is true or not for data analyst dummies. If you examine your dataset wrongly, your insight becomes wrong. Due to your lousy insight, you develop a bad strategy.  A bad strategy means losing money for a company. Therefore, you should check whether our analysis results are accurate or not. In this article, you will learn to match your analysis results using Python, SQL, and Tableau and try to get the same results. There is a selling bicycle data in SQL database in which there are nine brands, seven categories, and 321 products of bicycles. Time starts from 2018-01-01 to 2020-12-28. There are three stores total of 10 persons. We connect to the database, pull data, and analyze it using Python and Tableau. We also analyze data from the database...