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https://github.com/mikaremi/simple-data-cleaning


https://github.com/mikaremi/simple-data-cleaning

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# Simple-Data-Cleaning
The steps included:
* Stripping trailing and leading spaces form the columns in the dataset
* Addressing the NaN values by replacing them with np.nan
* Standardizing the date colum (vist date)
* filling the missing values in the numeric columns using the mean strategy
* filling the missing values in the categorical columns using a place holder or a most frquent value '(mode()[0])'
* Saving the cleaned data to new csv file