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Created 4 years ago
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inlinetrain=pd.read_csv('D://aman//padai//datasets//big_mart//train.csv')
train.head()test=pd.read_csv('D://aman//padai//datasets//big_mart//test.csv')train.info()<class 'pandas.core.frame.DataFrame'>
RangeIndex: 8523 entries, 0 to 8522
Data columns (total 12 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Item_Identifier 8523 non-null object
1 Item_Weight 7060 non-null float64
2 Item_Fat_Content 8523 non-null object
3 Item_Visibility 8523 non-null float64
4 Item_Type 8523 non-null object
5 Item_MRP 8523 non-null float64
6 Outlet_Identifier 8523 non-null object
7 Outlet_Establishment_Year 8523 non-null int64
8 Outlet_Size 6113 non-null object
9 Outlet_Location_Type 8523 non-null object
10 Outlet_Type 8523 non-null object
11 Item_Outlet_Sales 8523 non-null float64
dtypes: float64(4), int64(1), object(7)
memory usage: 799.2+ KB
import seaborn as sns