Getting more value from the Pandas count()

5 tricks to effectively use the Pandas count() method

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The Pandas library is one of the most preferred tools for data manipulation and analysis. Data Scientists often spend most of their time exploring and preprocessing the data. When it comes to data profiling and understanding the dataset, Pandas count() is one of the most commonly used methods for…