Data Quality and Data Cleaning
Data Quality and Data Cleaning are crucial aspects of data science that involve assessing and improving the quality, consistency, and reliability of data. Let’s explore each concept: Data quality and data cleaning are iterative processes and are typically performed as initial steps in data preprocessing before analysis or model building. They play a crucial role […]
Data Wrangling And Cleaning
Data wrangling and cleaning are essential steps in the data science workflow. They involve preparing and transforming raw data into a clean, structured format that is suitable for analysis. Here’s an overview of data wrangling and cleaning in data science: Data Wrangling: Data wrangling, also known as data munging or data preprocessing, refers to the […]