In this tutorial, we'll learn Basic commands after importing data in Python. If you are still wondering about it then this article is for you.
Understanding the data before doing any transformation or analysis is very important and underrated
Because of the efficiency and ease of using python, in the data analysis field, it has been widely used and adapted, to say the least. In python, one can also import different kinds of datasets and databases of all different formats like CSV, SQL, JSON, XML, etc. making it more efficient and viable to use. There are many things written about how good python is, but here we are going to discuss what are the basic commands that should be run before any analysis.
Here, the assumption is we will be working with a data frame (df) and it will contain multiple rows and columns with different types of data.
Basic Commands to keep in mind:
Here we assume that necessary libraries are imported and have read the dataset and stored it in a data frame df.
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