text_plain_output_1.png
import pandas as pd

train = pd.read_csv('/kaggle/input/playground-series-s3e14/train.csv', index_col='id')
test = pd.read_csv('/kaggle/input/playground-series-s3e14/test.csv', index_col='id')
submission = pd.read_csv('/kaggle/input/playground-series-s3e14/sample_submission.csv')
origin = pd.read_csv('/kaggle/input/wild-blueberry-yield-prediction-dataset/WildBlueberryPollinationSimulationData.csv').drop('Row#', axis=1)

def info(train):
    display(train.head())
    print('*' * 50)
    print(f'SHAPE OF THE DATA: {train.shape}')
    print('*' * 50)
    if ~train.isnull().sum().sum():
        print('NO NULL VALUES FOUND!')
    else:
        print(f'NULL VALUES: {train.isnull().sum()}')
    print(train.info())
info(train)