Overview

Dataset statistics

Number of variables25
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory223.6 B

Variable types

Numeric1
Categorical22
Text2

Dataset

Description대전광역시 유성구 관내에 설치되어 있는 체력단련시설(야외운동기구)에 대한 설치 현황에 대한 데이터로 공원명, 공중걷기 유형, 파도타기 유형, 허리돌리기 유형 등 야외운동기구의 설치개수를 제공합니다.
URLhttps://www.data.go.kr/data/15060874/fileData.do

Alerts

소재지 has constant value ""Constant
거꾸로매달리기 유형 has constant value ""Constant
스쿼트머신 유형 has constant value ""Constant
달리기 유형 is highly imbalanced (51.3%)Imbalance
어깨근육풀기 유형 is highly imbalanced (77.6%)Imbalance
윗몸일으키기 유형 is highly imbalanced (59.8%)Imbalance
역기내리기 유형 is highly imbalanced (90.6%)Imbalance
등허리지압기 유형 is highly imbalanced (59.7%)Imbalance
노젓기 유형 is highly imbalanced (67.2%)Imbalance
입식싸이클 유형 is highly imbalanced (58.3%)Imbalance
하체근육풀기 유형 is highly imbalanced (83.6%)Imbalance
양팔줄당기기 유형 is highly imbalanced (76.5%)Imbalance
철봉 유형 is highly imbalanced (76.8%)Imbalance
평행봉 유형 is highly imbalanced (79.4%)Imbalance
좌식싸이클 유형 is highly imbalanced (62.6%)Imbalance
팔굽혀펴기 유형 is highly imbalanced (88.1%)Imbalance
연번 has unique valuesUnique
공원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:14:48.113232
Analysis finished2023-12-12 15:14:48.392513
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-13T00:14:48.458543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q121.5
median42
Q362.5
95-th percentile78.9
Maximum83
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.103942
Coefficient of variation (CV)0.57390337
Kurtosis-1.2
Mean42
Median Absolute Deviation (MAD)21
Skewness0
Sum3486
Variance581
MonotonicityStrictly increasing
2023-12-13T00:14:48.623799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
54 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
Other values (73) 73
88.0%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%

소재지
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
유성구
83 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유성구
2nd row유성구
3rd row유성구
4th row유성구
5th row유성구

Common Values

ValueCountFrequency (%)
유성구 83
100.0%

Length

2023-12-13T00:14:48.753756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:48.835649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유성구 83
100.0%

공원명
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T00:14:49.047407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.1807229
Min length6

Characters and Unicode

Total characters596
Distinct characters117
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)100.0%

Sample

1st row신성근린공원
2nd row성두산근린공원
3rd row궁동근린공원
4th row엑스포근린공원
5th row왕골근린공원
ValueCountFrequency (%)
신성근린공원 1
 
1.2%
말바위어린이공원 1
 
1.2%
호미어린이공원 1
 
1.2%
꼭두배어린이공원 1
 
1.2%
속들어린이공원 1
 
1.2%
덕미어린이공원 1
 
1.2%
노은어린이공원 1
 
1.2%
논골어린이공원 1
 
1.2%
창뜰어린이공원 1
 
1.2%
죽궁이어린이공원 1
 
1.2%
Other values (73) 73
88.0%
2023-12-13T00:14:49.396646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 85
14.3%
린 83
13.9%
공 83
13.9%
이 61
 
10.2%
어 60
 
10.1%
근 24
 
4.0%
골 10
 
1.7%
산 8
 
1.3%
들 6
 
1.0%
장 6
 
1.0%
Other values (107) 170
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
99.3%
Decimal Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 85
14.4%
린 83
14.0%
공 83
14.0%
이 61
 
10.3%
어 60
 
10.1%
근 24
 
4.1%
골 10
 
1.7%
산 8
 
1.4%
들 6
 
1.0%
장 6
 
1.0%
Other values (104) 166
28.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
2 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 85
14.4%
린 83
14.0%
공 83
14.0%
이 61
 
10.3%
어 60
 
10.1%
근 24
 
4.1%
골 10
 
1.7%
산 8
 
1.4%
들 6
 
1.0%
장 6
 
1.0%
Other values (104) 166
28.0%
Common
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
2 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 85
14.4%
린 83
14.0%
공 83
14.0%
이 61
 
10.3%
어 60
 
10.1%
근 24
 
4.1%
골 10
 
1.7%
산 8
 
1.4%
들 6
 
1.0%
장 6
 
1.0%
Other values (104) 166
28.0%
ASCII
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
2 1
25.0%

주소
Text

Distinct82
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T00:14:49.678962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length12.915663
Min length11

Characters and Unicode

Total characters1072
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)97.6%

Sample

1st row대전 유성구 신성동 11
2nd row대전 유성구 구성동 20
3rd row대전 유성구 궁동 390외 1필
4th row대전 유성구 전민동 46703
5th row대전 유성구 전민동 46302
ValueCountFrequency (%)
유성구 83
29.5%
대전 24
 
8.5%
지족동 7
 
2.5%
구암동 7
 
2.5%
관평동 6
 
2.1%
노은동 6
 
2.1%
장대동 5
 
1.8%
전민동 5
 
1.8%
봉명동 5
 
1.8%
신성동 5
 
1.8%
Other values (100) 128
45.6%
2023-12-13T00:14:50.079234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
18.5%
구 91
 
8.5%
성 89
 
8.3%
유 83
 
7.7%
동 83
 
7.7%
0 55
 
5.1%
6 40
 
3.7%
1 36
 
3.4%
5 36
 
3.4%
대 32
 
3.0%
Other values (44) 329
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
52.0%
Decimal Number 317
29.6%
Space Separator 198
 
18.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 91
16.3%
성 89
16.0%
유 83
14.9%
동 83
14.9%
대 32
 
5.7%
전 29
 
5.2%
은 7
 
1.3%
외 7
 
1.3%
봉 7
 
1.3%
족 7
 
1.3%
Other values (33) 122
21.9%
Decimal Number
ValueCountFrequency (%)
0 55
17.4%
6 40
12.6%
1 36
11.4%
5 36
11.4%
2 30
9.5%
3 28
8.8%
8 27
8.5%
4 23
7.3%
7 21
 
6.6%
9 21
 
6.6%
Space Separator
ValueCountFrequency (%)
198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
52.0%
Common 515
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 91
16.3%
성 89
16.0%
유 83
14.9%
동 83
14.9%
대 32
 
5.7%
전 29
 
5.2%
은 7
 
1.3%
외 7
 
1.3%
봉 7
 
1.3%
족 7
 
1.3%
Other values (33) 122
21.9%
Common
ValueCountFrequency (%)
198
38.4%
0 55
 
10.7%
6 40
 
7.8%
1 36
 
7.0%
5 36
 
7.0%
2 30
 
5.8%
3 28
 
5.4%
8 27
 
5.2%
4 23
 
4.5%
7 21
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
52.0%
ASCII 515
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
38.4%
0 55
 
10.7%
6 40
 
7.8%
1 36
 
7.0%
5 36
 
7.0%
2 30
 
5.8%
3 28
 
5.4%
8 27
 
5.2%
4 23
 
4.5%
7 21
 
4.1%
Hangul
ValueCountFrequency (%)
구 91
16.3%
성 89
16.0%
유 83
14.9%
동 83
14.9%
대 32
 
5.7%
전 29
 
5.2%
은 7
 
1.3%
외 7
 
1.3%
봉 7
 
1.3%
족 7
 
1.3%
Other values (33) 122
21.9%

공중걷기 유형
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
1
67 
0
13 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 67
80.7%
0 13
 
15.7%
2 3
 
3.6%

Length

2023-12-13T00:14:50.238197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:50.375898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
80.7%
0 13
 
15.7%
2 3
 
3.6%

파도타기 유형
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size796.0 B
1
41 
0
37 
2
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 41
49.4%
0 37
44.6%
2 4
 
4.8%
3 1
 
1.2%

Length

2023-12-13T00:14:50.508926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:50.676008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
49.4%
0 37
44.6%
2 4
 
4.8%
3 1
 
1.2%

허리돌리기 유형
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
1
52 
0
23 
2
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 52
62.7%
0 23
27.7%
2 8
 
9.6%

Length

2023-12-13T00:14:50.832447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:50.986244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
62.7%
0 23
27.7%
2 8
 
9.6%

상체근육풀기 유형
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
43 
1
39 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 43
51.8%
1 39
47.0%
2 1
 
1.2%

Length

2023-12-13T00:14:51.149504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:51.295259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
51.8%
1 39
47.0%
2 1
 
1.2%

달리기 유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
67 
1
15 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 67
80.7%
1 15
 
18.1%
4 1
 
1.2%

Length

2023-12-13T00:14:51.455034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:51.583517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
80.7%
1 15
 
18.1%
4 1
 
1.2%

역기올리기 유형
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
66 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 66
79.5%
1 17
 
20.5%

Length

2023-12-13T00:14:51.696997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:51.812691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
79.5%
1 17
 
20.5%

레그프레스 유형
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
64 
1
17 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 64
77.1%
1 17
 
20.5%
2 2
 
2.4%

Length

2023-12-13T00:14:51.938827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:52.045945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
77.1%
1 17
 
20.5%
2 2
 
2.4%

어깨근육풀기 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
80 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 80
96.4%
1 3
 
3.6%

Length

2023-12-13T00:14:52.149817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:52.252798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 80
96.4%
1 3
 
3.6%

윗몸일으키기 유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
70 
1
9 
2
 
3
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0361446
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 70
84.3%
1 9
 
10.8%
2 3
 
3.6%
<NA> 1
 
1.2%

Length

2023-12-13T00:14:52.375593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:52.524540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
84.3%
1 9
 
10.8%
2 3
 
3.6%
na 1
 
1.2%

역기내리기 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
82 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 82
98.8%
1 1
 
1.2%

Length

2023-12-13T00:14:52.655154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:52.789794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 82
98.8%
1 1
 
1.2%

등허리지압기 유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
67 
1
12 
2
 
2
3
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0361446
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 67
80.7%
1 12
 
14.5%
2 2
 
2.4%
3 1
 
1.2%
<NA> 1
 
1.2%

Length

2023-12-13T00:14:52.913512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:53.052604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
80.7%
1 12
 
14.5%
2 2
 
2.4%
3 1
 
1.2%
na 1
 
1.2%

노젓기 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
78 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 78
94.0%
1 5
 
6.0%

Length

2023-12-13T00:14:53.181945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:53.285513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 78
94.0%
1 5
 
6.0%

입식싸이클 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
76 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 76
91.6%
1 7
 
8.4%

Length

2023-12-13T00:14:53.399432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:53.508287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 76
91.6%
1 7
 
8.4%

거꾸로매달리기 유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 83
100.0%

Length

2023-12-13T00:14:53.615618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:53.723054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 83
100.0%

하체근육풀기 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
81 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 81
97.6%
1 2
 
2.4%

Length

2023-12-13T00:14:53.817838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:53.939032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
97.6%
1 2
 
2.4%

양팔줄당기기 유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
78 
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 78
94.0%
1 4
 
4.8%
3 1
 
1.2%

Length

2023-12-13T00:14:54.059386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:54.169369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 78
94.0%
1 4
 
4.8%
3 1
 
1.2%

철봉 유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
77 
1
 
4
2
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0361446
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row2
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 77
92.8%
1 4
 
4.8%
2 1
 
1.2%
<NA> 1
 
1.2%

Length

2023-12-13T00:14:54.282834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:54.390419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 77
92.8%
1 4
 
4.8%
2 1
 
1.2%
na 1
 
1.2%

평행봉 유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
79 
2
 
2
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 79
95.2%
2 2
 
2.4%
1 2
 
2.4%

Length

2023-12-13T00:14:54.507789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:54.622736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 79
95.2%
2 2
 
2.4%
1 2
 
2.4%

스쿼트머신 유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 83
100.0%

Length

2023-12-13T00:14:54.739803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:54.858495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 83
100.0%

좌식싸이클 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
77 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 77
92.8%
1 6
 
7.2%

Length

2023-12-13T00:14:54.981900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:55.105519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 77
92.8%
1 6
 
7.2%

팔굽혀펴기 유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
0
81 
2
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 81
97.6%
2 1
 
1.2%
1 1
 
1.2%

Length

2023-12-13T00:14:55.226386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:14:55.343462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
97.6%
2 1
 
1.2%
1 1
 
1.2%

Sample

연번소재지공원명주소공중걷기 유형파도타기 유형허리돌리기 유형상체근육풀기 유형달리기 유형역기올리기 유형레그프레스 유형어깨근육풀기 유형윗몸일으키기 유형역기내리기 유형등허리지압기 유형노젓기 유형입식싸이클 유형거꾸로매달리기 유형하체근육풀기 유형양팔줄당기기 유형철봉 유형평행봉 유형스쿼트머신 유형좌식싸이클 유형팔굽혀펴기 유형
01유성구신성근린공원대전 유성구 신성동 11010000000000000022002
12유성구성두산근린공원대전 유성구 구성동 20100000010000000000010
23유성구궁동근린공원대전 유성구 궁동 390외 1필101100001000000011000
34유성구엑스포근린공원대전 유성구 전민동 46703101000000010000000010
45유성구왕골근린공원대전 유성구 전민동 46302102100001000000000000
56유성구송강근린공원대전 유성구 송강동 9111001011010100000000
67유성구금성근린공원대전 유성구 신성동 20610210010<NA>020100000010
78유성구진잠근린공원대전 유성구 원내동 358122110101020100100010
89유성구두루봉근린공원대전 유성구 지족동 87106외 1필222010002100000000000
910유성구은구비근린공원대전 유성구 노은동 523외 1필231200200000001000010
연번소재지공원명주소공중걷기 유형파도타기 유형허리돌리기 유형상체근육풀기 유형달리기 유형역기올리기 유형레그프레스 유형어깨근육풀기 유형윗몸일으키기 유형역기내리기 유형등허리지압기 유형노젓기 유형입식싸이클 유형거꾸로매달리기 유형하체근육풀기 유형양팔줄당기기 유형철봉 유형평행봉 유형스쿼트머신 유형좌식싸이클 유형팔굽혀펴기 유형
7374유성구윗관들어린이공원유성구 관평동 1007111101100000000000000
7475유성구방아다리어린이공원유성구 용산동 667101001100000000000000
7576유성구와룡어린이공원유성구 복용동 298011100100000010000<NA>0000
7677유성구박산어린이공원유성구 복용동 43501010010000001000010000
7778유성구화산어린이공원유성구 덕명동 598110010000001000010000
7879유성구용산골어린이공원유성구 용산동 717101001100000000000000
7980유성구오랭이어린이공원유성구 용산동 723101001100000000000000
8081유성구흥도어린이공원유성구 원신흥동 554001000101010001100000
8182유성구구암2어린이공원유성구 구암동 62503101010000000000000000
8283유성구동잠어린이공원유성구 장대동 26603111000000000000000000