PANDAS 🐼
PRACTIC OF DATA SCIENCE
LOAD DATASET OF SEABORN
sns.get_dataset_names()
data_exercise = sns.load_dataset("exercise")
data_exercise
Unnamed: 0int64
0 - 89
idint64
1 - 30
0
0
1
1
1
1
2
2
1
3
3
2
4
4
2
5
5
2
6
6
3
7
7
3
8
8
3
9
9
4
data_exercise.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 90 entries, 0 to 89
Data columns (total 6 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Unnamed: 0 90 non-null int64
1 id 90 non-null int64
2 diet 90 non-null category
3 pulse 90 non-null int64
4 time 90 non-null category
5 kind 90 non-null category
dtypes: category(3), int64(3)
memory usage: 2.9 KB
data_exercise.shape
Unnamed: 0float64
idfloat64
count
90
90
mean
44.5
15.5
std
26.12470096
8.703931696
min
0
1
25%
22.25
8
50%
44.5
15.5
75%
66.75
23
max
89
30