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datascience_basicpreprocessing's Introduction

installation:

pip install basicpreprocessing

basicpreprocessing library will be used to do basic preprocessing operations on dataframe

importing : from basicpreprocessing.BasicPreprocessing import BasicPreprocessing

Please create a object with input as filepath eg: BasicPreprocessing(path_of_the_file)

Methods available in this package:

create_logger(): Used to create a logger named 'pre_processing_logger.log'

load_dataset(): Used load the dataset returns dataframe object

display_sample_rows(df) : Used to display the first 5 rows input parameter: dataframe object returns dataframe object

find_missing_values(df): Used to find missing values in each column input parameter: dataframe object returns series object

column_data_types(df): Used to find data types of columns input parameter: dataframe object returns series object

correlation_between_columns(df): Used to find correlation between columns input parameter: dataframe object returns series object

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