# Importing Libraries import matplotlib.pyplot as plt import pandas as pd import numpy as np import seaborn as sns # Dataprep for exploratory data analysis from dataprep.eda import create_report from dataprep.eda import plot, plot_correlation, plot_missing # mport Regressor Metric Graph Plot - for ML analysis from regressormetricgraphplot import * # Set style to 'seaborn / Plot inline plt.style.use('seaborn') %matplotlib inline %config InlineBackend.figure_format = 'retina' # Load Dataframe df = pd.read_csv('path/to/file.csv') df.head() df.isna().sum() df.drop_duplicates(inplace = True) df.info() df.describe() # Generate Dataprep Report report = create_report(df, title='My Report') create_report() plot(df, col1, col2) # df sortby df.sort_values(by=[col1, col2], ascending=[True, True]) # df groupby df.groupby(col).mean()
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