Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
Installation Steps
pip install ExploriPy
Important Parameters
- data : Complete Dataset, should be a Pandas DataFrame.
- CategoricalFeatures : List of Categorical Features
- title : Title which should appear in the top of the HTML file
Installation Steps
from ExploriPy import EDA
df = pd.read_csv('LoanPrediction.csv',na_values = 'nan')
CategoricalFeatures = ['Gender','Married','Dependents','Education','Self_Employed','Credit_History','Property_Area','Loan_Status','Loan_Amount_Term']
eda = EDA(df,CategoricalFeatures,title='Data Analysis on a Public Data')
eda.EDAToHTML()
Output
Categorical Vs Categorical
Weight Of Evidence, Information Value, Chi-Sq Test of Independence
Categorical Vs Continuous