Data Cleansing as a Prerequisite for High-Quality Data Analysis
An often overlooked yet crucial stage of working with data is cleaning. It is at this stage that it is decided whether the results of the analysis will be truly reliable or whether they will result in an inaccurate picture of reality. Let's take a look at why data cleaning is indispensable for every step from modeling to interpretation, and why analysts should pay as much attention to it as they do to visualizations or conclusions themselves.
