Overview

Dataset statistics

Number of variables6
Number of observations320
Missing cells162
Missing cells (%)8.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory48.4 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경상남도 거제시 체육시설업현황(상호명, 주소, 위도, 경도, 전화번호, 기준일자) 등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079326

Alerts

기준일자 has constant value ""Constant
시설전화번호 has 162 (50.6%) missing valuesMissing

Reproduction

Analysis started2024-04-16 22:52:12.005383
Analysis finished2024-04-16 22:52:12.371389
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
당구장업
99 
체육도장업
82 
체력단련장업
55 
골프연습장업
32 
가상체험 체육시설업
17 
Other values (6)
35 

Length

Max length10
Median length7
Mean length5.25
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 99
30.9%
체육도장업 82
25.6%
체력단련장업 55
17.2%
골프연습장업 32
 
10.0%
가상체험 체육시설업 17
 
5.3%
별도분류없음 15
 
4.7%
수영장업 10
 
3.1%
체육교습업 4
 
1.2%
무도학원업 2
 
0.6%
요트장업 2
 
0.6%

Length

2024-04-17T07:52:12.425279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당구장업 99
29.4%
체육도장업 82
24.3%
체력단련장업 55
16.3%
골프연습장업 32
 
9.5%
가상체험 17
 
5.0%
체육시설업 17
 
5.0%
별도분류없음 15
 
4.5%
수영장업 10
 
3.0%
체육교습업 4
 
1.2%
무도학원업 2
 
0.6%
Other values (2) 4
 
1.2%

상호
Text

Distinct315
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T07:52:12.665699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.584375
Min length2

Characters and Unicode

Total characters2427
Distinct characters332
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)96.9%

Sample

1st row삼성문화관수영장
2nd row오션사이드수영장
3rd row삼성중공업 거제호텔 수영장
4th row이야짐
5th row신원아침도시 수영장
ValueCountFrequency (%)
태권도장 10
 
2.1%
당구클럽 10
 
2.1%
스크린 6
 
1.3%
당구장 6
 
1.3%
수영장 5
 
1.1%
클럽 5
 
1.1%
태권도 4
 
0.8%
아일랜드 4
 
0.8%
용인대 4
 
0.8%
더 3
 
0.6%
Other values (376) 415
87.9%
2024-04-17T07:52:13.010181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
6.3%
장 125
 
5.2%
구 98
 
4.0%
스 97
 
4.0%
당 90
 
3.7%
도 74
 
3.0%
태 59
 
2.4%
권 59
 
2.4%
클 49
 
2.0%
럽 49
 
2.0%
Other values (322) 1575
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2115
87.1%
Space Separator 152
 
6.3%
Uppercase Letter 74
 
3.0%
Lowercase Letter 36
 
1.5%
Decimal Number 18
 
0.7%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Other Punctuation 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 125
 
5.9%
구 98
 
4.6%
스 97
 
4.6%
당 90
 
4.3%
도 74
 
3.5%
태 59
 
2.8%
권 59
 
2.8%
클 49
 
2.3%
럽 49
 
2.3%
프 40
 
1.9%
Other values (273) 1375
65.0%
Uppercase Letter
ValueCountFrequency (%)
M 11
14.9%
J 8
10.8%
G 7
 
9.5%
B 6
 
8.1%
S 6
 
8.1%
C 5
 
6.8%
T 4
 
5.4%
Y 4
 
5.4%
P 3
 
4.1%
N 2
 
2.7%
Other values (10) 18
24.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
13.9%
i 5
13.9%
y 4
11.1%
d 4
11.1%
m 3
8.3%
t 2
 
5.6%
s 2
 
5.6%
b 2
 
5.6%
k 2
 
5.6%
r 1
 
2.8%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
0 6
33.3%
7 2
 
11.1%
3 2
 
11.1%
4 2
 
11.1%
2 2
 
11.1%
6 2
 
11.1%
5 1
 
5.6%
1 1
 
5.6%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2115
87.1%
Common 202
 
8.3%
Latin 110
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 125
 
5.9%
구 98
 
4.6%
스 97
 
4.6%
당 90
 
4.3%
도 74
 
3.5%
태 59
 
2.8%
권 59
 
2.8%
클 49
 
2.3%
럽 49
 
2.3%
프 40
 
1.9%
Other values (273) 1375
65.0%
Latin
ValueCountFrequency (%)
M 11
 
10.0%
J 8
 
7.3%
G 7
 
6.4%
B 6
 
5.5%
S 6
 
5.5%
o 5
 
4.5%
C 5
 
4.5%
i 5
 
4.5%
y 4
 
3.6%
d 4
 
3.6%
Other values (26) 49
44.5%
Common
ValueCountFrequency (%)
152
75.2%
( 12
 
5.9%
) 12
 
5.9%
. 7
 
3.5%
0 6
 
3.0%
7 2
 
1.0%
3 2
 
1.0%
4 2
 
1.0%
2 2
 
1.0%
6 2
 
1.0%
Other values (3) 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2115
87.1%
ASCII 312
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
48.7%
( 12
 
3.8%
) 12
 
3.8%
M 11
 
3.5%
J 8
 
2.6%
G 7
 
2.2%
. 7
 
2.2%
B 6
 
1.9%
0 6
 
1.9%
S 6
 
1.9%
Other values (39) 85
27.2%
Hangul
ValueCountFrequency (%)
장 125
 
5.9%
구 98
 
4.6%
스 97
 
4.6%
당 90
 
4.3%
도 74
 
3.5%
태 59
 
2.8%
권 59
 
2.8%
클 49
 
2.3%
럽 49
 
2.3%
프 40
 
1.9%
Other values (273) 1375
65.0%

시설주소(지번)
Text

Distinct227
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T07:52:13.321309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length18.75
Min length15

Characters and Unicode

Total characters6000
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)51.6%

Sample

1st row경상남도 거제시 장평동 409-33
2nd row경상남도 거제시 장승포동 426-33
3rd row경상남도 거제시 장평동 444-3
4th row경상남도 거제시 일운면 지세포리 1122-2
5th row경상남도 거제시 고현동 1088
ValueCountFrequency (%)
경상남도 320
24.2%
거제시 320
24.2%
고현동 65
 
4.9%
장평동 47
 
3.5%
아주동 37
 
2.8%
옥포동 36
 
2.7%
상동동 32
 
2.4%
수월동 17
 
1.3%
양정동 17
 
1.3%
사등면 15
 
1.1%
Other values (248) 418
31.6%
2024-04-17T07:52:13.750962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1004
16.7%
상 355
 
5.9%
거 324
 
5.4%
제 324
 
5.4%
시 320
 
5.3%
경 320
 
5.3%
도 320
 
5.3%
남 320
 
5.3%
동 319
 
5.3%
1 303
 
5.1%
Other values (52) 2091
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3347
55.8%
Decimal Number 1392
23.2%
Space Separator 1004
 
16.7%
Dash Punctuation 257
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 355
10.6%
거 324
9.7%
제 324
9.7%
시 320
9.6%
경 320
9.6%
도 320
9.6%
남 320
9.6%
동 319
9.5%
현 67
 
2.0%
고 65
 
1.9%
Other values (40) 613
18.3%
Decimal Number
ValueCountFrequency (%)
1 303
21.8%
2 154
11.1%
5 139
10.0%
3 128
9.2%
6 123
8.8%
9 122
8.8%
0 117
 
8.4%
4 116
 
8.3%
8 100
 
7.2%
7 90
 
6.5%
Space Separator
ValueCountFrequency (%)
1004
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3347
55.8%
Common 2653
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 355
10.6%
거 324
9.7%
제 324
9.7%
시 320
9.6%
경 320
9.6%
도 320
9.6%
남 320
9.6%
동 319
9.5%
현 67
 
2.0%
고 65
 
1.9%
Other values (40) 613
18.3%
Common
ValueCountFrequency (%)
1004
37.8%
1 303
 
11.4%
- 257
 
9.7%
2 154
 
5.8%
5 139
 
5.2%
3 128
 
4.8%
6 123
 
4.6%
9 122
 
4.6%
0 117
 
4.4%
4 116
 
4.4%
Other values (2) 190
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3347
55.8%
ASCII 2653
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1004
37.8%
1 303
 
11.4%
- 257
 
9.7%
2 154
 
5.8%
5 139
 
5.2%
3 128
 
4.8%
6 123
 
4.6%
9 122
 
4.6%
0 117
 
4.4%
4 116
 
4.4%
Other values (2) 190
 
7.2%
Hangul
ValueCountFrequency (%)
상 355
10.6%
거 324
9.7%
제 324
9.7%
시 320
9.6%
경 320
9.6%
도 320
9.6%
남 320
9.6%
동 319
9.5%
현 67
 
2.0%
고 65
 
1.9%
Other values (40) 613
18.3%

시설주소(도로명)
Text

Distinct228
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T07:52:14.013255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.978125
Min length14

Characters and Unicode

Total characters5753
Distinct characters84
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

Unique167 ?
Unique (%)52.2%

Sample

1st row경상남도 거제시 장평3로 80-45
2nd row경상남도 거제시 장승로 145
3rd row경상남도 거제시 장평3로 80-37
4th row경상남도 거제시 일운면 지세포3길 99
5th row경상남도 거제시 계룡로9길 21-2
ValueCountFrequency (%)
경상남도 320
24.1%
거제시 320
24.1%
거제대로 25
 
1.9%
수양로 20
 
1.5%
상동5길 16
 
1.2%
일운면 15
 
1.1%
사등면 15
 
1.1%
거제중앙로 12
 
0.9%
아주1로2길 11
 
0.8%
장평로 10
 
0.8%
Other values (265) 563
42.4%
2024-04-17T07:52:14.378106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1007
17.5%
제 390
 
6.8%
거 385
 
6.7%
상 345
 
6.0%
남 328
 
5.7%
도 321
 
5.6%
경 320
 
5.6%
시 320
 
5.6%
로 274
 
4.8%
1 266
 
4.6%
Other values (74) 1797
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3583
62.3%
Decimal Number 1088
 
18.9%
Space Separator 1007
 
17.5%
Dash Punctuation 67
 
1.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 390
10.9%
거 385
10.7%
상 345
9.6%
남 328
9.2%
도 321
9.0%
경 320
8.9%
시 320
8.9%
로 274
 
7.6%
길 136
 
3.8%
장 61
 
1.7%
Other values (60) 703
19.6%
Decimal Number
ValueCountFrequency (%)
1 266
24.4%
4 137
12.6%
5 135
12.4%
2 124
11.4%
3 119
10.9%
7 78
 
7.2%
0 70
 
6.4%
8 62
 
5.7%
6 58
 
5.3%
9 39
 
3.6%
Space Separator
ValueCountFrequency (%)
1007
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3583
62.3%
Common 2170
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 390
10.9%
거 385
10.7%
상 345
9.6%
남 328
9.2%
도 321
9.0%
경 320
8.9%
시 320
8.9%
로 274
 
7.6%
길 136
 
3.8%
장 61
 
1.7%
Other values (60) 703
19.6%
Common
ValueCountFrequency (%)
1007
46.4%
1 266
 
12.3%
4 137
 
6.3%
5 135
 
6.2%
2 124
 
5.7%
3 119
 
5.5%
7 78
 
3.6%
0 70
 
3.2%
- 67
 
3.1%
8 62
 
2.9%
Other values (4) 105
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3583
62.3%
ASCII 2170
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1007
46.4%
1 266
 
12.3%
4 137
 
6.3%
5 135
 
6.2%
2 124
 
5.7%
3 119
 
5.5%
7 78
 
3.6%
0 70
 
3.2%
- 67
 
3.1%
8 62
 
2.9%
Other values (4) 105
 
4.8%
Hangul
ValueCountFrequency (%)
제 390
10.9%
거 385
10.7%
상 345
9.6%
남 328
9.2%
도 321
9.0%
경 320
8.9%
시 320
8.9%
로 274
 
7.6%
길 136
 
3.8%
장 61
 
1.7%
Other values (60) 703
19.6%

시설전화번호
Text

MISSING 

Distinct153
Distinct (%)96.8%
Missing162
Missing (%)50.6%
Memory size2.6 KiB
2024-04-17T07:52:14.596745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.987342
Min length9

Characters and Unicode

Total characters1894
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)93.7%

Sample

1st row055-630-5230
2nd row055-680-1000
3rd row055-631-2114
4th row1670-9977
5th row055-633-1989
ValueCountFrequency (%)
055-636-8898 2
 
1.3%
055-636-6644 2
 
1.3%
055-681-7787 2
 
1.3%
055-632-7004 2
 
1.3%
1670-9977 2
 
1.3%
055-688-5653 1
 
0.6%
055-682-6002 1
 
0.6%
055-630-5230 1
 
0.6%
055-638-5550 1
 
0.6%
055-681-5553 1
 
0.6%
Other values (143) 143
90.5%
2024-04-17T07:52:14.919853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 391
20.6%
- 314
16.6%
0 262
13.8%
6 232
12.2%
3 164
8.7%
8 146
 
7.7%
7 109
 
5.8%
1 85
 
4.5%
2 79
 
4.2%
4 61
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1580
83.4%
Dash Punctuation 314
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 391
24.7%
0 262
16.6%
6 232
14.7%
3 164
10.4%
8 146
 
9.2%
7 109
 
6.9%
1 85
 
5.4%
2 79
 
5.0%
4 61
 
3.9%
9 51
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 314
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1894
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 391
20.6%
- 314
16.6%
0 262
13.8%
6 232
12.2%
3 164
8.7%
8 146
 
7.7%
7 109
 
5.8%
1 85
 
4.5%
2 79
 
4.2%
4 61
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 391
20.6%
- 314
16.6%
0 262
13.8%
6 232
12.2%
3 164
8.7%
8 146
 
7.7%
7 109
 
5.8%
1 85
 
4.5%
2 79
 
4.2%
4 61
 
3.2%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-04-17T07:52:15.009470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:52:15.095985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-04-17T07:52:12.264153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T07:52:12.340280image/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

업종상호시설주소(지번)시설주소(도로명)시설전화번호기준일자
0수영장업삼성문화관수영장경상남도 거제시 장평동 409-33경상남도 거제시 장평3로 80-45055-630-52302024-02-07
1수영장업오션사이드수영장경상남도 거제시 장승포동 426-33경상남도 거제시 장승로 145055-680-10002024-02-07
2수영장업삼성중공업 거제호텔 수영장경상남도 거제시 장평동 444-3경상남도 거제시 장평3로 80-37055-631-21142024-02-07
3수영장업이야짐경상남도 거제시 일운면 지세포리 1122-2경상남도 거제시 일운면 지세포3길 99<NA>2024-02-07
4수영장업신원아침도시 수영장경상남도 거제시 고현동 1088경상남도 거제시 계룡로9길 21-2<NA>2024-02-07
5수영장업한화리조트거제벨버디어 수영장경상남도 거제시 장목면 농소리 25경상남도 거제시 장목면 거제북로 2501-40<NA>2024-02-07
6수영장업한화리조트거제벨버디어 인피니티풀경상남도 거제시 장목면 농소리 25경상남도 거제시 장목면 거제북로 2501-401670-99772024-02-07
7수영장업찬스아이수영장 상동분원경상남도 거제시 상동동 483-7경상남도 거제시 거제중앙로 1739055-633-19892024-02-07
8수영장업프리라움 수영장경상남도 거제시 수월동 1043-110경상남도 거제시 수양로 456-7<NA>2024-02-07
9수영장업더 포라 수영장경상남도 거제시 일운면 소동리 437경상남도 거제시 일운면 거제대로 2631<NA>2024-02-07
업종상호시설주소(지번)시설주소(도로명)시설전화번호기준일자
310가상체험 체육시설업프렌즈 스크린 거제 아주점경상남도 거제시 아주동 737-2경상남도 거제시 거제대로 3541055-681-11332024-02-07
311가상체험 체육시설업독봉스크린경상남도 거제시 상동동 224경상남도 거제시 상동5길 7<NA>2024-02-07
312가상체험 체육시설업사곡 팰릭스 스크린경상남도 거제시 수월동 1043-110경상남도 거제시 수양로 456-7<NA>2024-02-07
313가상체험 체육시설업지세포 스크린 골프경상남도 거제시 고현동 1084-8경상남도 거제시 거제대로 4500-55<NA>2024-02-07
314가상체험 체육시설업이글 스크린경상남도 거제시 상동동 925-3경상남도 거제시 상동5길 115<NA>2024-02-07
315가상체험 체육시설업오션스크린골프경상남도 거제시 아주동 737-2경상남도 거제시 거제대로 3541055-682-37002024-02-07
316체육교습업킹콩플러스 축구교실경상남도 거제시 상동동 224경상남도 거제시 상동5길 7<NA>2024-02-07
317체육교습업케넥스 축구교실경상남도 거제시 수월동 1043-110경상남도 거제시 수양로 456-7<NA>2024-02-07
318체육교습업경남FC 유소년 축구교실경상남도 거제시 고현동 1084-8경상남도 거제시 거제대로 4500-55<NA>2024-02-07
319체육교습업에이원 축구클럽경상남도 거제시 상동동 925-3경상남도 거제시 상동5길 115<NA>2024-02-07