Exploratory data analysis toolkit

Load the required packages
Load .csv file
Visualise top and bottom rows of the dataframe
Inspect data type and n/a columns
Change data type to float for column header labelled X
Data numeric attributes (Count, mean, std, min, quartiles, max values), rounded to 2 decimal places
Correlation between numeric attributes
Categorical data attributes
Drop null values
Replace null values with median
Inspect and remove duplicates
Obtain overall summary for each variable
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