What does GIGO mean in data analysis, Poor input causes poor output, What is another name for data cleaning, Data scrubbing or data cleansing, Why is data cleaning important before modeling, Improves accuracy and reliability, What is a missing value, An empty or null data field, What is noisy data, Random errors or outliers, What is inconsistent data, Data with conflicting formats or values, What are duplicate records, Repeated entries for the same entity, What is irrelevant data, Data not useful for analysis, What is imputation, Replacing missing values with substitutes, When is row deletion appropriate, When few values are missing, When is column deletion appropriate, When a column is mostly missing, What does binning do in cleaning, Groups values to reduce noise, How can outliers be detected statistically, Using Z-scores or IQR, What is smoothing in time series cleaning, Reducing fluctuations to reveal trends, What is standardization in data cleaning, Making formats and values uniform, Why use parsing and extraction, To structure unstructured text, What is referential integrity checking, Ensuring related keys match tables, What is normalization in transformation, Scaling values to a common range, What is feature engineering, Creating useful variables from existing data, What is fuzzy matching used for, Finding similar but nonidentical duplicates

Data Cleaning

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