data

Data Cleaning in Statistics Introduction: Data is the backbone of statistical analysis, driving insights and decision-making in various fields. However, real-world data is rarely perfect and often contains errors, inconsistencies, missing values, and other issues that can lead to biased and unreliable results. Data cleaning, also known as data cleansing or data preprocessing, is a critical step in the data analysis pipeline that aims to detect and rectify these imperfections. This article will explore the importance of data cleaning in statistics, common data issues, and various techniques used to clean and prepare data for accurate and meaningful analysis. [...]