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Project description
DataPrepKit
this project is made for the "Python Programming Foundation" course from electropi.ai
Key Features:
- Read files of type CSV, Excel, and JSON, using "DataReading" class.
- Use "DataSummaries" class to create summaries for data frames, or get each individual summary value for mean, median, mode, standard deviation, number of values, minimum value, maximum value, and frequent values.
- Clean up data bases with "HandleMissingValues" class using one of these cleaning strategies: 'drop', 'mean', 'median', 'mode', 'ffill', 'bfill', or replace the missing values with a value of your choice using the "replace_missing_values" method.
- Encode categorical data using 'one-hot' strategy, or using 'label' from class "DataEncoding".
All classes are methods are imported in the initial files, so there is no need to import each method seperately!
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