Data Transformation

Data transformation is the process of converting data from one format to another.

Data transformation may involve:

• Data Cleansing
• Structuring and organizing data
• Aggregation
• Data Selection
• Joining Datasets
• Normalisation of data
• Normalised Schema
• Imputation Techniques

Others:

• Sorting: Arranging data in a logical order.
• Validating: Ensuring data integrity and accuracy.
• Data Type Conversion: Changing data types (e.g., converting strings to integers).
• Schema Normalization: Ensuring a consistent data structure for efficiency.
  Related:
• Data Transformation with Pandas
• Data Transformation in Data Engineering
• Data Transformation in Machine Learning
• Benefits of Data Transformation
• Feature Transformations