import pandas as pd
from dataprep.eda import create_report
df = pd.read_csv("parking_violations.csv")
create_report(df)

#Plot 
plot(df)
plot_correlation(df)

#plot correlation
plot_correlation(df, col1, col2)



#load dataset houses, titanic
from dataprep.datasets import load_dataset

#plot diff training and test data
from dataprep.datasets import load_dataset
import numpy as np
df1 = load_dataset("house_prices_train")
df1 = df1.replace(" ?", np.NaN)
df2 = load_dataset("house_prices_test")
df2 = df2.replace(" ?", np.NaN)

#save Report
from dataprep.eda import create_report
report = create_report(df, title='My Report')
report.save(filename='report_01', to='~/Desktop')