Overview

Dataset statistics

Number of variables6
Number of observations1927
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.3 KiB
Average record size in memory49.1 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description서울시 각 공원녹지사업소에서 관리하고 있는 공원 내 운동기구 설치 현황입니다.(구분, 위치(구역명), 운동기구 기종명, 수량, 관리번호 등)
Author서울특별시
URLhttps://www.data.go.kr/data/15051903/fileData.do

Alerts

구분 is highly overall correlated with 관리기관 High correlation
관리기관 is highly overall correlated with 구분 High correlation

Reproduction

Analysis started2023-12-12 17:26:12.669050
Analysis finished2023-12-12 17:26:13.551331
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
한강공원(뚝섬지구)
232 
한강공원(이촌지구)
197 
북서울꿈의숲
155 
한강공원(망원지구)
117 
한강공원(광나루지구)
 
94
Other values (28)
1132 

Length

Max length13
Median length12
Mean length10.114167
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 남산공원(회현)
2nd row 남산공원(회현)
3rd row 남산공원(회현)
4th row 남산공원(회현)
5th row 남산공원(회현)

Common Values

ValueCountFrequency (%)
한강공원(뚝섬지구) 232
 
12.0%
한강공원(이촌지구) 197
 
10.2%
북서울꿈의숲 155
 
8.0%
한강공원(망원지구) 117
 
6.1%
한강공원(광나루지구) 94
 
4.9%
한강공원(반포지구) 89
 
4.6%
한강공원(잠원지구) 80
 
4.2%
서서울호수공원 66
 
3.4%
남산공원(회현) 66
 
3.4%
응봉공원 60
 
3.1%
Other values (23) 771
40.0%

Length

2023-12-13T02:26:13.649572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한강공원(뚝섬지구 232
 
11.9%
한강공원(이촌지구 197
 
10.1%
북서울꿈의숲 155
 
7.9%
한강공원(망원지구 117
 
6.0%
한강공원(광나루지구 94
 
4.8%
한강공원(반포지구 89
 
4.5%
한강공원(잠원지구 80
 
4.1%
남산공원(회현 66
 
3.4%
서서울호수공원 66
 
3.4%
응봉공원 60
 
3.1%
Other values (24) 801
40.9%

위치(구역명)
Text

Distinct200
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
2023-12-13T02:26:13.991508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.7306694
Min length3

Characters and Unicode

Total characters14897
Distinct characters246
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.6%

Sample

1st row 안중근 기념관 옆
2nd row 안중근 기념관 옆
3rd row 안중근 기념관 옆
4th row 안중근 기념관 옆
5th row 안중근 기념관 옆
ValueCountFrequency (%)
옆 85
 
3.3%
주변 67
 
2.6%
양화대교 54
 
2.1%
한남대교 54
 
2.1%
앞 49
 
1.9%
옥수역 42
 
1.6%
잠실대교 39
 
1.5%
축구장 38
 
1.5%
노량대교 35
 
1.4%
다목적운동장 34
 
1.3%
Other values (214) 2051
80.5%
2023-12-13T02:26:14.495030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4366
29.3%
장 461
 
3.1%
교 451
 
3.0%
대 406
 
2.7%
목 288
 
1.9%
나 256
 
1.7%
구 238
 
1.6%
수 227
 
1.5%
들 212
 
1.4%
터 171
 
1.1%
Other values (236) 7821
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10225
68.6%
Space Separator 4366
29.3%
Decimal Number 197
 
1.3%
Dash Punctuation 47
 
0.3%
Close Punctuation 23
 
0.2%
Open Punctuation 23
 
0.2%
Math Symbol 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 461
 
4.5%
교 451
 
4.4%
대 406
 
4.0%
목 288
 
2.8%
나 256
 
2.5%
구 238
 
2.3%
수 227
 
2.2%
들 212
 
2.1%
터 171
 
1.7%
동 166
 
1.6%
Other values (221) 7349
71.9%
Decimal Number
ValueCountFrequency (%)
1 63
32.0%
3 55
27.9%
2 29
14.7%
4 17
 
8.6%
5 11
 
5.6%
8 11
 
5.6%
0 8
 
4.1%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
Space Separator
ValueCountFrequency (%)
4366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10225
68.6%
Common 4672
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 461
 
4.5%
교 451
 
4.4%
대 406
 
4.0%
목 288
 
2.8%
나 256
 
2.5%
구 238
 
2.3%
수 227
 
2.2%
들 212
 
2.1%
터 171
 
1.7%
동 166
 
1.6%
Other values (221) 7349
71.9%
Common
ValueCountFrequency (%)
4366
93.5%
1 63
 
1.3%
3 55
 
1.2%
- 47
 
1.0%
2 29
 
0.6%
) 23
 
0.5%
( 23
 
0.5%
4 17
 
0.4%
~ 16
 
0.3%
5 11
 
0.2%
Other values (5) 22
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10225
68.6%
ASCII 4672
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4366
93.5%
1 63
 
1.3%
3 55
 
1.2%
- 47
 
1.0%
2 29
 
0.6%
) 23
 
0.5%
( 23
 
0.5%
4 17
 
0.4%
~ 16
 
0.3%
5 11
 
0.2%
Other values (5) 22
 
0.5%
Hangul
ValueCountFrequency (%)
장 461
 
4.5%
교 451
 
4.4%
대 406
 
4.0%
목 288
 
2.8%
나 256
 
2.5%
구 238
 
2.3%
수 227
 
2.2%
들 212
 
2.1%
터 171
 
1.7%
동 166
 
1.6%
Other values (221) 7349
71.9%

운동기구 기종명
Text

Distinct379
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
2023-12-13T02:26:14.851717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.0690192
Min length4

Characters and Unicode

Total characters13622
Distinct characters245
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)11.7%

Sample

1st row 스텝사이클
2nd row 크로스 컨트리
3rd row 체어 웨이트
4th row 롤링웨이스트
5th row 폴웨이트
ValueCountFrequency (%)
허리돌리기 180
 
8.7%
공중걷기 101
 
4.9%
윗몸일으켜기 77
 
3.7%
하체흔들기 77
 
3.7%
평행봉 71
 
3.4%
온몸근육풀기 70
 
3.4%
역기내리기 62
 
3.0%
철봉 62
 
3.0%
역기올리기 60
 
2.9%
양팔줄당기기 50
 
2.4%
Other values (381) 1262
60.9%
2023-12-13T02:26:15.429412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4004
29.4%
기 1550
 
11.4%
리 799
 
5.9%
허 302
 
2.2%
몸 237
 
1.7%
역 233
 
1.7%
체 220
 
1.6%
돌 220
 
1.6%
풀 219
 
1.6%
스 197
 
1.4%
Other values (235) 5641
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9241
67.8%
Space Separator 4004
29.4%
Decimal Number 126
 
0.9%
Lowercase Letter 96
 
0.7%
Open Punctuation 59
 
0.4%
Close Punctuation 59
 
0.4%
Math Symbol 22
 
0.2%
Dash Punctuation 7
 
0.1%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1550
 
16.8%
리 799
 
8.6%
허 302
 
3.3%
몸 237
 
2.6%
역 233
 
2.5%
체 220
 
2.4%
돌 220
 
2.4%
풀 219
 
2.4%
스 197
 
2.1%
레 186
 
2.0%
Other values (216) 5078
55.0%
Decimal Number
ValueCountFrequency (%)
1 47
37.3%
0 33
26.2%
5 19
15.1%
3 13
 
10.3%
2 12
 
9.5%
7 2
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 47
49.0%
k 47
49.0%
b 1
 
1.0%
a 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
4004
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Math Symbol
ValueCountFrequency (%)
+ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9241
67.8%
Common 4283
31.4%
Latin 98
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1550
 
16.8%
리 799
 
8.6%
허 302
 
3.3%
몸 237
 
2.6%
역 233
 
2.5%
체 220
 
2.4%
돌 220
 
2.4%
풀 219
 
2.4%
스 197
 
2.1%
레 186
 
2.0%
Other values (216) 5078
55.0%
Common
ValueCountFrequency (%)
4004
93.5%
( 59
 
1.4%
) 59
 
1.4%
1 47
 
1.1%
0 33
 
0.8%
+ 22
 
0.5%
5 19
 
0.4%
3 13
 
0.3%
2 12
 
0.3%
- 7
 
0.2%
Other values (3) 8
 
0.2%
Latin
ValueCountFrequency (%)
g 47
48.0%
k 47
48.0%
A 1
 
1.0%
b 1
 
1.0%
T 1
 
1.0%
a 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9241
67.8%
ASCII 4381
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4004
91.4%
( 59
 
1.3%
) 59
 
1.3%
g 47
 
1.1%
k 47
 
1.1%
1 47
 
1.1%
0 33
 
0.8%
+ 22
 
0.5%
5 19
 
0.4%
3 13
 
0.3%
Other values (9) 31
 
0.7%
Hangul
ValueCountFrequency (%)
기 1550
 
16.8%
리 799
 
8.6%
허 302
 
3.3%
몸 237
 
2.6%
역 233
 
2.5%
체 220
 
2.4%
돌 220
 
2.4%
풀 219
 
2.4%
스 197
 
2.1%
레 186
 
2.0%
Other values (216) 5078
55.0%

운동기구 수량
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0238713
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.1 KiB
2023-12-13T02:26:15.597670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22888724
Coefficient of variation (CV)0.22355079
Kurtosis235.91155
Mean1.0238713
Median Absolute Deviation (MAD)0
Skewness13.902525
Sum1973
Variance0.052389367
MonotonicityNot monotonic
2023-12-13T02:26:15.741612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1896
98.4%
2 24
 
1.2%
3 3
 
0.2%
5 2
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
ValueCountFrequency (%)
1 1896
98.4%
2 24
 
1.2%
3 3
 
0.2%
4 1
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 2
 
0.1%
4 1
 
0.1%
3 3
 
0.2%
2 24
 
1.2%
1 1896
98.4%

관리번호
Text

Distinct1913
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
2023-12-13T02:26:16.049139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length17.320187
Min length12

Characters and Unicode

Total characters33376
Distinct characters259
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1901 ?
Unique (%)98.7%

Sample

1st row 남삼회현-1(안중근기념관옆)-1
2nd row 남삼회현-1(안중근기념관옆)-2
3rd row 남삼회현-1(안중근기념관옆)-3
4th row 남삼회현-1(안중근기념관옆)-4
5th row 남삼회현-1(안중근기념관옆)-5
ValueCountFrequency (%)
중랑캠핑숲 30
 
1.2%
공원 30
 
1.2%
북서울꿈의숲-15(청송배드민턴장 20
 
0.8%
출입구 19
 
0.7%
옆 16
 
0.6%
뚝섬-11(잠실대교 16
 
0.6%
배드민턴장 15
 
0.6%
잠실-2(수영장 15
 
0.6%
북서울꿈의숲-17(장일배드민턴장 14
 
0.6%
입구 14
 
0.6%
Other values (1804) 2354
92.6%
2023-12-13T02:26:16.662194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4470
 
13.4%
- 3435
 
10.3%
( 1947
 
5.8%
) 1943
 
5.8%
1 1447
 
4.3%
원 898
 
2.7%
2 734
 
2.2%
공 654
 
2.0%
3 606
 
1.8%
4 515
 
1.5%
Other values (249) 16727
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16721
50.1%
Decimal Number 4844
 
14.5%
Space Separator 4470
 
13.4%
Dash Punctuation 3435
 
10.3%
Open Punctuation 1947
 
5.8%
Close Punctuation 1943
 
5.8%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 898
 
5.4%
공 654
 
3.9%
장 493
 
2.9%
서 454
 
2.7%
교 451
 
2.7%
대 428
 
2.6%
나 350
 
2.1%
남 340
 
2.0%
산 338
 
2.0%
의 329
 
2.0%
Other values (234) 11986
71.7%
Decimal Number
ValueCountFrequency (%)
1 1447
29.9%
2 734
15.2%
3 606
12.5%
4 515
 
10.6%
5 391
 
8.1%
6 357
 
7.4%
7 237
 
4.9%
8 234
 
4.8%
0 162
 
3.3%
9 161
 
3.3%
Space Separator
ValueCountFrequency (%)
4470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1947
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1943
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16721
50.1%
Common 16655
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 898
 
5.4%
공 654
 
3.9%
장 493
 
2.9%
서 454
 
2.7%
교 451
 
2.7%
대 428
 
2.6%
나 350
 
2.1%
남 340
 
2.0%
산 338
 
2.0%
의 329
 
2.0%
Other values (234) 11986
71.7%
Common
ValueCountFrequency (%)
4470
26.8%
- 3435
20.6%
( 1947
11.7%
) 1943
11.7%
1 1447
 
8.7%
2 734
 
4.4%
3 606
 
3.6%
4 515
 
3.1%
5 391
 
2.3%
6 357
 
2.1%
Other values (5) 810
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16721
50.1%
ASCII 16655
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4470
26.8%
- 3435
20.6%
( 1947
11.7%
) 1943
11.7%
1 1447
 
8.7%
2 734
 
4.4%
3 606
 
3.6%
4 515
 
3.1%
5 391
 
2.3%
6 357
 
2.1%
Other values (5) 810
 
4.9%
Hangul
ValueCountFrequency (%)
원 898
 
5.4%
공 654
 
3.9%
장 493
 
2.9%
서 454
 
2.7%
교 451
 
2.7%
대 428
 
2.6%
나 350
 
2.1%
남 340
 
2.0%
산 338
 
2.0%
의 329
 
2.0%
Other values (234) 11986
71.7%

관리기관
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
한강사업본부
1006 
중부공원녹지사업소
496 
동부공원녹지사업소
265 
서부공원녹지사업소
120 
서울대공원
 
22

Length

Max length11
Median length8
Mean length9.3881681
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 중부공원녹지사업소
2nd row 중부공원녹지사업소
3rd row 중부공원녹지사업소
4th row 중부공원녹지사업소
5th row 중부공원녹지사업소

Common Values

ValueCountFrequency (%)
한강사업본부 1006
52.2%
중부공원녹지사업소 496
25.7%
동부공원녹지사업소 265
 
13.8%
서부공원녹지사업소 120
 
6.2%
서울대공원 22
 
1.1%
체육시설관리사업소 18
 
0.9%

Length

2023-12-13T02:26:16.883510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:26:17.117513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강사업본부 1006
52.2%
중부공원녹지사업소 496
25.7%
동부공원녹지사업소 265
 
13.8%
서부공원녹지사업소 120
 
6.2%
서울대공원 22
 
1.1%
체육시설관리사업소 18
 
0.9%

Interactions

2023-12-13T02:26:13.232789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:26:17.231965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운동기구 수량관리기관
구분1.0000.5071.000
운동기구 수량0.5071.0000.353
관리기관1.0000.3531.000
2023-12-13T02:26:17.341699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관리기관
구분1.0000.993
관리기관0.9931.000
2023-12-13T02:26:17.441098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운동기구 수량구분관리기관
운동기구 수량1.0000.2450.134
구분0.2451.0000.993
관리기관0.1340.9931.000

Missing values

2023-12-13T02:26:13.382592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:26:13.499141image/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

구분위치(구역명)운동기구 기종명운동기구 수량관리번호관리기관
0남산공원(회현)안중근 기념관 옆스텝사이클1남삼회현-1(안중근기념관옆)-1중부공원녹지사업소
1남산공원(회현)안중근 기념관 옆크로스 컨트리1남삼회현-1(안중근기념관옆)-2중부공원녹지사업소
2남산공원(회현)안중근 기념관 옆체어 웨이트1남삼회현-1(안중근기념관옆)-3중부공원녹지사업소
3남산공원(회현)안중근 기념관 옆롤링웨이스트1남삼회현-1(안중근기념관옆)-4중부공원녹지사업소
4남산공원(회현)안중근 기념관 옆폴웨이트1남삼회현-1(안중근기념관옆)-5중부공원녹지사업소
5남산공원(회현)안중근 기념관 옆물구나무서기1남삼회현-1(안중근기념관옆)-6중부공원녹지사업소
6남산공원(회현)잠두체육시설윗몸일으키기1남삼회현-2(잠두체육)-1중부공원녹지사업소
7남산공원(회현)잠두체육시설크로스 컨트리1남삼회현-2(잠두체육)-2중부공원녹지사업소
8남산공원(회현)잠두체육시설체어 웨이트1남삼회현-2(잠두체육)-3중부공원녹지사업소
9남산공원(회현)잠두체육시설허리돌이기1남삼회현-2(잠두체육)-4중부공원녹지사업소
구분위치(구역명)운동기구 기종명운동기구 수량관리번호관리기관
1917서울대공원관리사무소 앞스텝사이클1서울대공원-1(관리사무소)-13서울대공원
1918서울대공원관리사무소 앞레그프레스1서울대공원-1(관리사무소)-14서울대공원
1919서울대공원관리사무소 앞입식사이클1서울대공원-1(관리사무소)-15서울대공원
1920서울대공원관리사무소 앞크로스컨트리1서울대공원-1(관리사무소)-16서울대공원
1921서울대공원기린나라 앞하체흔들기1서울대공원-2(기린나라)-1서울대공원
1922서울대공원기린나라 앞어깨근육풀기1서울대공원-2(기린나라)-2서울대공원
1923서울대공원기린나라 앞허리돌리기1서울대공원-2(기린나라)-3서울대공원
1924서울대공원기린나라 앞윗몸일으키기1서울대공원-2(기린나라)-4서울대공원
1925서울대공원기린나라 앞하이풀리운동기구1서울대공원-2(기린나라)-5서울대공원
1926서울대공원기린나라 앞등허리지압운동1서울대공원-2(기린나라)-6서울대공원