Data Cleaning: Access To Reliability
Introduction "In the data driven world, decision making is one of the most crucial task when we are working with any types of data" "Cleaning: Access to Reliability" refers to the process of ensuring the data is accuracy, consistency, and trustworthy before proceeding with analysis. This step involves on verifying that the data can be relied upon to make informed decisions and draw meaningful conclusions. What "Cleaning: Access to Reliability" Involves? Accuracy : It is important to make sure that data reflects real-world conditions accurately by removing errors and correcting inaccurate values. Consistency : Uniformity of data formats, units, and definitions, so that all records align with one another. Common Data Cleaning Techniques Removing Duplicates : It is important to check for duplicate records to remove data redundancy. Handling Missing Values : Handle the missing data this include removing records, imputing values, or using algorithms that can wo...