Techniques for cleaning and preparing data within a spreadsheet, including removing duplicates, handling missing values, and transforming data for analysis.
Data Cleaning and Preparation 1. Introduction Data cleaning and preparation are essential steps in the data analysis process. It involves identifying and correcting errors, inconsistencies, and missing data in a dataset. 2. Steps in Data Cleaning and Preparation Identifying Missing Data: Check for missing values in the dataset. Decide how to handle missing data (remove, impute, etc.). Handli...…
Upgrade to Unlock