Hands-on Tutorial On QuickDA For Data Analysis and Cleaning

Analysing the dataset helps us in identifying the data and its attributes, and address anomalies in the dataset, find out whether the data is clean or not, if it is following any particular pattern or not and so on.  Cleaning the data is a necessary step in which we clean the data according to certain standards like removing or replacing the null values, removing or replacing the outliers, etc. It helps us get a clear view of the data without any anomalies or junk data. There are certain techniques defined in python which we can use to analyse the dataset and clean it before drawing certain insights from the data. QuickDA is an open-source python library that helps in analysing and cleaning a dataset easily and efficiently with few lines of code. In this article we will explo