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What are common techniques for data transformation?
Data transformation is an important aspect of data analysis and processing. It serves as a link between raw data, and useful insights. Data transformation involves converting the data from its original structure or format into a more usable or suitable form. This process improves data quality and allows for compatibility with different systems. It also supports efficient analysis. Data transformation is a common step in data warehouses, integration projects, analytics pipelines and data warehousing. It is a crucial step to ensure that data is clean and consistent for downstream applications. Data Science Course in Pune
Normalization is a common data transformation technique that converts data into a standard range or format. This is particularly useful when data sets come from different sources, and have different scales or units. Normalization tasks include, for example, converting Fahrenheit temperatures to Celsius or standardizing dates formats. Scaling numerical values to a fixed range (such…