Overview

Dataset statistics

Number of variables5
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory42.8 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description서울특별시 서대문구 실외 운동기구 현황
Author서울특별시 서대문구
URLhttps://www.data.go.kr/data/15069210/fileData.do

Alerts

구분 has constant value ""Constant
번호 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:35:08.750601
Analysis finished2023-12-13 00:35:09.371528
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.5
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T09:35:09.426801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.05
Q141.25
median81.5
Q3121.75
95-th percentile153.95
Maximum162
Range161
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation46.909487
Coefficient of variation (CV)0.57557653
Kurtosis-1.2
Mean81.5
Median Absolute Deviation (MAD)40.5
Skewness0
Sum13203
Variance2200.5
MonotonicityStrictly increasing
2023-12-13T09:35:09.532181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
123 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
Other values (152) 152
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%

명칭
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T09:35:09.736540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.4814815
Min length4

Characters and Unicode

Total characters1374
Distinct characters224
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row거꾸로어린이공원
2nd row은가어린이공원
3rd row신가어린이공원
4th row북가좌 정원지구 어린이공원
5th row나비울어린이공원
ValueCountFrequency (%)
옆 8
 
3.1%
주변 6
 
2.4%
위 5
 
2.0%
앞 4
 
1.6%
종점 4
 
1.6%
인왕산 3
 
1.2%
어린이놀이터 3
 
1.2%
중앙근린공원 3
 
1.2%
백련산 3
 
1.2%
체력단련장 2
 
0.8%
Other values (194) 213
83.9%
2023-12-13T09:35:10.052346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
6.7%
원 83
 
6.0%
공 80
 
5.8%
린 44
 
3.2%
이 42
 
3.1%
터 37
 
2.7%
수 36
 
2.6%
어 36
 
2.6%
소 34
 
2.5%
장 28
 
2.0%
Other values (214) 862
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1204
87.6%
Space Separator 92
 
6.7%
Decimal Number 42
 
3.1%
Close Punctuation 17
 
1.2%
Open Punctuation 17
 
1.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 83
 
6.9%
공 80
 
6.6%
린 44
 
3.7%
이 42
 
3.5%
터 37
 
3.1%
수 36
 
3.0%
어 36
 
3.0%
소 34
 
2.8%
장 28
 
2.3%
산 25
 
2.1%
Other values (201) 759
63.0%
Decimal Number
ValueCountFrequency (%)
1 15
35.7%
0 7
16.7%
3 6
 
14.3%
2 5
 
11.9%
4 4
 
9.5%
9 2
 
4.8%
8 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1204
87.6%
Common 170
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 83
 
6.9%
공 80
 
6.6%
린 44
 
3.7%
이 42
 
3.5%
터 37
 
3.1%
수 36
 
3.0%
어 36
 
3.0%
소 34
 
2.8%
장 28
 
2.3%
산 25
 
2.1%
Other values (201) 759
63.0%
Common
ValueCountFrequency (%)
92
54.1%
) 17
 
10.0%
( 17
 
10.0%
1 15
 
8.8%
0 7
 
4.1%
3 6
 
3.5%
2 5
 
2.9%
4 4
 
2.4%
9 2
 
1.2%
- 2
 
1.2%
Other values (3) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1204
87.6%
ASCII 170
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
54.1%
) 17
 
10.0%
( 17
 
10.0%
1 15
 
8.8%
0 7
 
4.1%
3 6
 
3.5%
2 5
 
2.9%
4 4
 
2.4%
9 2
 
1.2%
- 2
 
1.2%
Other values (3) 3
 
1.8%
Hangul
ValueCountFrequency (%)
원 83
 
6.9%
공 80
 
6.6%
린 44
 
3.7%
이 42
 
3.5%
터 37
 
3.1%
수 36
 
3.0%
어 36
 
3.0%
소 34
 
2.8%
장 28
 
2.3%
산 25
 
2.1%
Other values (201) 759
63.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
운동기구
162 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운동기구 162
100.0%

Length

2023-12-13T09:35:10.155015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:35:10.226026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운동기구 162
100.0%

주소
Text

Distinct140
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T09:35:10.414366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.104938
Min length5

Characters and Unicode

Total characters2123
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)77.2%

Sample

1st row북가좌동 338-21
2nd row북가좌2동 3-39
3rd row북가좌2동 318-1
4th row북가좌동 459-1
5th row북가좌동 475
ValueCountFrequency (%)
산 28
 
8.4%
연희동 26
 
7.8%
홍제동 23
 
6.9%
홍은동 20
 
6.0%
북아현동 11
 
3.3%
현저동 10
 
3.0%
홍은1동 8
 
2.4%
봉원동 8
 
2.4%
홍제3동 6
 
1.8%
산2-1(안산공원 4
 
1.2%
Other values (151) 189
56.8%
2023-12-13T09:35:10.719750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 188
 
8.9%
175
 
8.2%
동 161
 
7.6%
- 147
 
6.9%
산 117
 
5.5%
( 91
 
4.3%
) 91
 
4.3%
2 87
 
4.1%
원 78
 
3.7%
홍 76
 
3.6%
Other values (46) 912
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 972
45.8%
Decimal Number 647
30.5%
Space Separator 175
 
8.2%
Dash Punctuation 147
 
6.9%
Open Punctuation 91
 
4.3%
Close Punctuation 91
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 161
16.6%
산 117
12.0%
원 78
 
8.0%
홍 76
 
7.8%
공 69
 
7.1%
안 40
 
4.1%
은 39
 
4.0%
제 37
 
3.8%
연 33
 
3.4%
희 31
 
3.2%
Other values (32) 291
29.9%
Decimal Number
ValueCountFrequency (%)
1 188
29.1%
2 87
13.4%
3 75
 
11.6%
4 61
 
9.4%
5 55
 
8.5%
8 48
 
7.4%
7 42
 
6.5%
0 33
 
5.1%
6 32
 
4.9%
9 26
 
4.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1151
54.2%
Hangul 972
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 161
16.6%
산 117
12.0%
원 78
 
8.0%
홍 76
 
7.8%
공 69
 
7.1%
안 40
 
4.1%
은 39
 
4.0%
제 37
 
3.8%
연 33
 
3.4%
희 31
 
3.2%
Other values (32) 291
29.9%
Common
ValueCountFrequency (%)
1 188
16.3%
175
15.2%
- 147
12.8%
( 91
7.9%
) 91
7.9%
2 87
7.6%
3 75
 
6.5%
4 61
 
5.3%
5 55
 
4.8%
8 48
 
4.2%
Other values (4) 133
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1151
54.2%
Hangul 972
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 188
16.3%
175
15.2%
- 147
12.8%
( 91
7.9%
) 91
7.9%
2 87
7.6%
3 75
 
6.5%
4 61
 
5.3%
5 55
 
4.8%
8 48
 
4.2%
Other values (4) 133
11.6%
Hangul
ValueCountFrequency (%)
동 161
16.6%
산 117
12.0%
원 78
 
8.0%
홍 76
 
7.8%
공 69
 
7.1%
안 40
 
4.1%
은 39
 
4.0%
제 37
 
3.8%
연 33
 
3.4%
희 31
 
3.2%
Other values (32) 291
29.9%

운동기구 총계
Real number (ℝ)

Distinct18
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5246914
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T09:35:10.817369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile13
Maximum23
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7086446
Coefficient of variation (CV)0.6712854
Kurtosis4.2707804
Mean5.5246914
Median Absolute Deviation (MAD)1
Skewness1.8821223
Sum895
Variance13.754045
MonotonicityNot monotonic
2023-12-13T09:35:10.900153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3 33
20.4%
4 31
19.1%
5 22
13.6%
6 17
10.5%
2 13
 
8.0%
7 8
 
4.9%
8 7
 
4.3%
10 6
 
3.7%
1 6
 
3.7%
9 4
 
2.5%
Other values (8) 15
9.3%
ValueCountFrequency (%)
1 6
 
3.7%
2 13
 
8.0%
3 33
20.4%
4 31
19.1%
5 22
13.6%
6 17
10.5%
7 8
 
4.9%
8 7
 
4.3%
9 4
 
2.5%
10 6
 
3.7%
ValueCountFrequency (%)
23 1
 
0.6%
18 1
 
0.6%
17 3
1.9%
16 1
 
0.6%
14 2
 
1.2%
13 3
1.9%
12 1
 
0.6%
11 3
1.9%
10 6
3.7%
9 4
2.5%

Interactions

2023-12-13T09:35:09.111689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:35:08.957735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:35:09.181169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:35:09.047031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:35:10.955674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운동기구 총계
번호1.0000.168
운동기구 총계0.1681.000
2023-12-13T09:35:11.014451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운동기구 총계
번호1.0000.341
운동기구 총계0.3411.000

Missing values

2023-12-13T09:35:09.257618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:35:09.336665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호명칭구분주소운동기구 총계
01거꾸로어린이공원운동기구북가좌동 338-213
12은가어린이공원운동기구북가좌2동 3-394
23신가어린이공원운동기구북가좌2동 318-15
34북가좌 정원지구 어린이공원운동기구북가좌동 459-14
45나비울어린이공원운동기구북가좌동 4754
56까치소공원운동기구북가좌1동 366-42
67가좌어린이공원운동기구남가좌2동 376-43
78연남어린이공원운동기구남가좌2동 326-84
89개나리어린이공원운동기구남가좌2동 377-35
910삼각소공원운동기구남가좌2동 210-163
번호명칭구분주소운동기구 총계
152153공원화장실 앞운동기구연희동 산 118-1(궁동근린공원)11
153154체력단련장(104고지 전적비 방향)운동기구연희동 산 87-34(궁동근린공원)8
154155형무소 주차장 입구운동기구현저동 101(서대문독립공원)5
155156어울마당운동기구현저동 101(서대문독립공원)8
156157배드민턴장운동기구현저동 101(서대문독립공원)6
157158이진아도서관 뒤운동기구현저동 101(서대문독립공원)7
158159남가좌동어린이공원운동기구남가좌동 388-64
159160연희1어린이공원운동기구연희동 747-13
160161홍제2어린이공원운동기구홍제동 156-203일대3
161162홍은14소공원운동기구홍은동 24-12일대4