datos.shape(973, 15)Descripción de los Datos
Cantidad de datos
Tipos de datos
datos.dtypesEdad int64
Genero object
Peso float64
Altura float64
Max_BPM int64
Avg_BPM int64
Rep_BPM int64
Duracion float64
Calorias int64
Entrenamiento object
Grasa float64
Agua float64
Frecuencia int64
Experiencia object
IMC float64
dtype: objectResumen
datos.info()<class 'pandas.core.frame.DataFrame'>
RangeIndex: 973 entries, 0 to 972
Data columns (total 15 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Edad 973 non-null int64
1 Genero 973 non-null object
2 Peso 973 non-null float64
3 Altura 973 non-null float64
4 Max_BPM 973 non-null int64
5 Avg_BPM 973 non-null int64
6 Rep_BPM 973 non-null int64
7 Duracion 973 non-null float64
8 Calorias 973 non-null int64
9 Entrenamiento 973 non-null object
10 Grasa 973 non-null float64
11 Agua 973 non-null float64
12 Frecuencia 973 non-null int64
13 Experiencia 973 non-null object
14 IMC 973 non-null float64
dtypes: float64(6), int64(6), object(3)
memory usage: 114.2+ KB