Data cleaning, wrangling, and exploration

The insights and analysis of your data can only get as good as the data you are using. One of the most significantly important steps in dealing with data is data cleaning. It’s the process of handling data to make sure that it’s clear of any incorrect or corrupted data. In addition to removing or modifying any incorrectly formatted data or duplicates within a dataset. By learning how to preform data cleaning, wrangling and exploration you can gain powerful soft skills in addition to techniques to make your data easier to interpret and make your insights of higher significance.