自动化数据分析框架比较-EDA Is All You Need

!pip install git+git://github.com/AutoViML/AutoViz.git
!pip install xlrd

from autoviz.AutoViz_Class import AutoViz_Class

AV = AutoViz_Class()
dftc = AV.AutoViz(
    filename='', 
    sep='' , 
    depVar='target', 
    dfte=df, 
    header=0, 
    verbose=1, 
    lowess=False, 
    chart_format='png', 
    max_rows_analyzed=300000, 
    max_cols_analyzed=30
)

from pandas_profiling import ProfileReport
df = pd.read_csv('/kaggle/input/titanic/train.csv')
report = ProfileReport(df)
# Start of Pandas Profiling process
start_time = dt.datetime.now()
print("Started at ", start_time)
report

!pip install sweetviz

import sweetviz as sv
df = pd.read_csv('/kaggle/input/credit-card-customers/BankChurners.csv').head(2000)
advert_report = sv.analyze([df, 'Data'])
advert_report.show_html()

print('SweetViz finished!!')
finish_time = dt.datetime.now()
print("Finished at ", finish_time)
elapsed = finish_time - start_time
print("Elapsed time: ", elapsed)

!pip install dtale

import dtale
dtale.show(df)

!pip install -U dataprep

from dataprep.eda import plot, plot_correlation
plot(df)

plot_correlation(df)

plot(df, "Customer_Age")

plot(df, "Customer_Age", "Gender")