Overview

Dataset statistics

Number of variables34
Number of observations22
Missing cells206
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory296.0 B

Variable types

Categorical13
Text6
DateTime4
Unsupported7
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19750/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (73.3%)Imbalance
건축물동수 is highly imbalanced (73.3%)Imbalance
회원모집총인원 is highly imbalanced (73.3%)Imbalance
폐업일자 has 17 (77.3%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 6 (27.3%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 11 (50.0%) missing valuesMissing
도로명주소 has 1 (4.5%) missing valuesMissing
도로명우편번호 has 2 (9.1%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
건축물연면적 has 15 (68.2%) missing valuesMissing
세부업종명 has 22 (100.0%) missing valuesMissing
법인명 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:12:32.926213
Analysis finished2024-05-11 06:12:33.460276
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3230000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 22
100.0%

Length

2024-05-11T15:12:33.532443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:33.659024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:12:33.895597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowCDFH3301011190000001
2nd rowCDFH3301011988000001
3rd rowCDFH3301011989000001
4th rowCDFH3301011989000002
5th rowCDFH3301011989000003
ValueCountFrequency (%)
cdfh3301011190000001 1
 
4.5%
cdfh3301011988000001 1
 
4.5%
cdfh3301012022000003 1
 
4.5%
cdfh3301012022000002 1
 
4.5%
cdfh3301012022000001 1
 
4.5%
cdfh3301012019000001 1
 
4.5%
cdfh3301012017000003 1
 
4.5%
cdfh3301012017000002 1
 
4.5%
cdfh3301012017000001 1
 
4.5%
cdfh3301012015000001 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T15:12:34.230895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
39.1%
1 77
17.5%
3 52
 
11.8%
2 28
 
6.4%
C 22
 
5.0%
D 22
 
5.0%
F 22
 
5.0%
H 22
 
5.0%
9 11
 
2.5%
8 5
 
1.1%
Other values (3) 7
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
48.9%
1 77
21.9%
3 52
 
14.8%
2 28
 
8.0%
9 11
 
3.1%
8 5
 
1.4%
4 3
 
0.9%
7 3
 
0.9%
5 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 22
25.0%
D 22
25.0%
F 22
25.0%
H 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
48.9%
1 77
21.9%
3 52
 
14.8%
2 28
 
8.0%
9 11
 
3.1%
8 5
 
1.4%
4 3
 
0.9%
7 3
 
0.9%
5 1
 
0.3%
Latin
ValueCountFrequency (%)
C 22
25.0%
D 22
25.0%
F 22
25.0%
H 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
39.1%
1 77
17.5%
3 52
 
11.8%
2 28
 
6.4%
C 22
 
5.0%
D 22
 
5.0%
F 22
 
5.0%
H 22
 
5.0%
9 11
 
2.5%
8 5
 
1.1%
Other values (3) 7
 
1.6%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1988-09-19 00:00:00
Maximum2023-12-12 00:00:00
2024-05-11T15:12:34.366873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:34.527915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
20150911
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
20150911 1
 
4.5%

Length

2024-05-11T15:12:34.686192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:34.812654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
20150911 1
 
4.5%

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
16 
3
5 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row1
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 16
72.7%
3 5
 
22.7%
4 1
 
4.5%

Length

2024-05-11T15:12:34.941659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:35.056048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
72.7%
3 5
 
22.7%
4 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
16 
폐업
5 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.7272727
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row영업/정상
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 16
72.7%
폐업 5
 
22.7%
취소/말소/만료/정지/중지 1
 
4.5%

Length

2024-05-11T15:12:35.176884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:35.296731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
72.7%
폐업 5
 
22.7%
취소/말소/만료/정지/중지 1
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
16 
3
5 
31
 
1

Length

Max length2
Median length2
Mean length1.7727273
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row13
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 16
72.7%
3 5
 
22.7%
31 1
 
4.5%

Length

2024-05-11T15:12:35.430979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:35.557465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
72.7%
3 5
 
22.7%
31 1
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
16 
폐업
5 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row영업중
2nd row영업중
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 16
72.7%
폐업 5
 
22.7%
등록취소 1
 
4.5%

Length

2024-05-11T15:12:35.707715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:35.841709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
72.7%
폐업 5
 
22.7%
등록취소 1
 
4.5%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing17
Missing (%)77.3%
Memory size308.0 B
Minimum2008-01-11 00:00:00
Maximum2023-06-02 00:00:00
2024-05-11T15:12:35.940223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:36.093014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing6
Missing (%)27.3%
Memory size308.0 B
2024-05-11T15:12:36.290740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14.5
Mean length9.9375
Min length8

Characters and Unicode

Total characters159
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row2240-8751(8780~1)
2nd row419-7000
3rd row411-2000
4th row410-1696
5th row401-7582
ValueCountFrequency (%)
431-6465 1
 
5.6%
411-2000 1
 
5.6%
470-1415 1
 
5.6%
02-400-8889 1
 
5.6%
024821001 1
 
5.6%
02-403-6465 1
 
5.6%
02-3012-0707 1
 
5.6%
02-407-1888 1
 
5.6%
2240-8751(8780~1 1
 
5.6%
7555 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T15:12:36.637019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
17.6%
1 21
13.2%
4 20
12.6%
- 19
11.9%
2 17
10.7%
7 12
7.5%
8 12
7.5%
5 9
 
5.7%
6 6
 
3.8%
3 5
 
3.1%
Other values (5) 10
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
84.3%
Dash Punctuation 19
 
11.9%
Space Separator 3
 
1.9%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
20.9%
1 21
15.7%
4 20
14.9%
2 17
12.7%
7 12
9.0%
8 12
9.0%
5 9
 
6.7%
6 6
 
4.5%
3 5
 
3.7%
9 4
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 159
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
17.6%
1 21
13.2%
4 20
12.6%
- 19
11.9%
2 17
10.7%
7 12
7.5%
8 12
7.5%
5 9
 
5.7%
6 6
 
3.8%
3 5
 
3.1%
Other values (5) 10
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
17.6%
1 21
13.2%
4 20
12.6%
- 19
11.9%
2 17
10.7%
7 12
7.5%
8 12
7.5%
5 9
 
5.7%
6 6
 
3.8%
3 5
 
3.1%
Other values (5) 10
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing11
Missing (%)50.0%
Memory size308.0 B
2024-05-11T15:12:36.847055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1818182
Min length6

Characters and Unicode

Total characters68
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

Unique9 ?
Unique (%)81.8%

Sample

1st row138220
2nd row138-220
3rd row138220
4th row138829
5th row138786
ValueCountFrequency (%)
138220 2
18.2%
138-220 1
9.1%
138829 1
9.1%
138786 1
9.1%
138889 1
9.1%
138816 1
9.1%
138855 1
9.1%
138836 1
9.1%
138-864 1
9.1%
138840 1
9.1%
2024-05-11T15:12:37.202695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 20
29.4%
1 12
17.6%
3 12
17.6%
2 7
 
10.3%
0 4
 
5.9%
6 4
 
5.9%
- 2
 
2.9%
9 2
 
2.9%
5 2
 
2.9%
4 2
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
97.1%
Dash Punctuation 2
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 20
30.3%
1 12
18.2%
3 12
18.2%
2 7
 
10.6%
0 4
 
6.1%
6 4
 
6.1%
9 2
 
3.0%
5 2
 
3.0%
4 2
 
3.0%
7 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 20
29.4%
1 12
17.6%
3 12
17.6%
2 7
 
10.3%
0 4
 
5.9%
6 4
 
5.9%
- 2
 
2.9%
9 2
 
2.9%
5 2
 
2.9%
4 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 20
29.4%
1 12
17.6%
3 12
17.6%
2 7
 
10.3%
0 4
 
5.9%
6 4
 
5.9%
- 2
 
2.9%
9 2
 
2.9%
5 2
 
2.9%
4 2
 
2.9%

지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:12:37.445976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length24.636364
Min length16

Characters and Unicode

Total characters542
Distinct characters82
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 잠실동 10번지
2nd row서울특별시 송파구 잠실동 40-1
3rd row서울특별시 송파구 잠실동 40번지
4th row서울특별시 송파구 방이동 88번지
5th row서울특별시 송파구 방이동 89-12번지
ValueCountFrequency (%)
서울특별시 22
20.4%
송파구 22
20.4%
잠실동 8
 
7.4%
방이동 4
 
3.7%
지하1층 4
 
3.7%
40-1 2
 
1.9%
문정동 2
 
1.9%
가락동 2
 
1.9%
오금동 2
 
1.9%
장지동 1
 
0.9%
Other values (39) 39
36.1%
2024-05-11T15:12:37.882474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
18.3%
1 29
 
5.4%
파 23
 
4.2%
울 22
 
4.1%
동 22
 
4.1%
구 22
 
4.1%
서 22
 
4.1%
송 22
 
4.1%
특 22
 
4.1%
별 22
 
4.1%
Other values (72) 237
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
62.5%
Space Separator 99
 
18.3%
Decimal Number 83
 
15.3%
Dash Punctuation 13
 
2.4%
Uppercase Letter 5
 
0.9%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 23
 
6.8%
울 22
 
6.5%
동 22
 
6.5%
구 22
 
6.5%
서 22
 
6.5%
송 22
 
6.5%
특 22
 
6.5%
별 22
 
6.5%
시 22
 
6.5%
지 21
 
6.2%
Other values (53) 119
35.1%
Decimal Number
ValueCountFrequency (%)
1 29
34.9%
2 13
15.7%
0 10
 
12.0%
4 8
 
9.6%
8 7
 
8.4%
5 4
 
4.8%
9 4
 
4.8%
6 3
 
3.6%
3 3
 
3.6%
7 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
I 1
20.0%
G 1
20.0%
F 1
20.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
62.5%
Common 198
36.5%
Latin 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 23
 
6.8%
울 22
 
6.5%
동 22
 
6.5%
구 22
 
6.5%
서 22
 
6.5%
송 22
 
6.5%
특 22
 
6.5%
별 22
 
6.5%
시 22
 
6.5%
지 21
 
6.2%
Other values (53) 119
35.1%
Common
ValueCountFrequency (%)
99
50.0%
1 29
 
14.6%
2 13
 
6.6%
- 13
 
6.6%
0 10
 
5.1%
4 8
 
4.0%
8 7
 
3.5%
5 4
 
2.0%
9 4
 
2.0%
6 3
 
1.5%
Other values (5) 8
 
4.0%
Latin
ValueCountFrequency (%)
B 2
40.0%
I 1
20.0%
G 1
20.0%
F 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
62.5%
ASCII 203
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
48.8%
1 29
 
14.3%
2 13
 
6.4%
- 13
 
6.4%
0 10
 
4.9%
4 8
 
3.9%
8 7
 
3.4%
5 4
 
2.0%
9 4
 
2.0%
6 3
 
1.5%
Other values (9) 13
 
6.4%
Hangul
ValueCountFrequency (%)
파 23
 
6.8%
울 22
 
6.5%
동 22
 
6.5%
구 22
 
6.5%
서 22
 
6.5%
송 22
 
6.5%
특 22
 
6.5%
별 22
 
6.5%
시 22
 
6.5%
지 21
 
6.2%
Other values (53) 119
35.1%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-05-11T15:12:38.147118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length31.333333
Min length22

Characters and Unicode

Total characters658
Distinct characters117
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 올림픽로 25 (잠실동, 종합운동장)
2nd row서울특별시 송파구 올림픽로 240, 5층 (잠실동, 롯데호텔)
3rd row서울특별시 송파구 올림픽로 212 (잠실동)
4th row서울특별시 송파구 양재대로 1222 (방이동)
5th row서울특별시 송파구 한가람로 65 (잠실동, 한강사업본부 잠실안내센터)
ValueCountFrequency (%)
서울특별시 21
 
16.0%
송파구 21
 
16.0%
잠실동 8
 
6.1%
올림픽로 4
 
3.1%
방이동 3
 
2.3%
동남로 2
 
1.5%
문정동 2
 
1.5%
오금동 2
 
1.5%
17 2
 
1.5%
양재대로72길 2
 
1.5%
Other values (60) 64
48.9%
2024-05-11T15:12:38.624900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
16.9%
파 24
 
3.6%
동 24
 
3.6%
송 22
 
3.3%
구 22
 
3.3%
서 21
 
3.2%
( 21
 
3.2%
특 21
 
3.2%
별 21
 
3.2%
시 21
 
3.2%
Other values (107) 350
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
62.0%
Space Separator 111
 
16.9%
Decimal Number 74
 
11.2%
Open Punctuation 21
 
3.2%
Close Punctuation 21
 
3.2%
Other Punctuation 16
 
2.4%
Uppercase Letter 5
 
0.8%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 24
 
5.9%
동 24
 
5.9%
송 22
 
5.4%
구 22
 
5.4%
서 21
 
5.1%
특 21
 
5.1%
별 21
 
5.1%
시 21
 
5.1%
울 21
 
5.1%
로 21
 
5.1%
Other values (88) 190
46.6%
Decimal Number
ValueCountFrequency (%)
1 19
25.7%
2 15
20.3%
0 7
 
9.5%
5 7
 
9.5%
3 6
 
8.1%
8 6
 
8.1%
7 6
 
8.1%
9 4
 
5.4%
4 2
 
2.7%
6 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
F 1
20.0%
G 1
20.0%
I 1
20.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
62.0%
Common 245
37.2%
Latin 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 24
 
5.9%
동 24
 
5.9%
송 22
 
5.4%
구 22
 
5.4%
서 21
 
5.1%
특 21
 
5.1%
별 21
 
5.1%
시 21
 
5.1%
울 21
 
5.1%
로 21
 
5.1%
Other values (88) 190
46.6%
Common
ValueCountFrequency (%)
111
45.3%
( 21
 
8.6%
) 21
 
8.6%
1 19
 
7.8%
, 16
 
6.5%
2 15
 
6.1%
0 7
 
2.9%
5 7
 
2.9%
3 6
 
2.4%
8 6
 
2.4%
Other values (5) 16
 
6.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
F 1
20.0%
G 1
20.0%
I 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
62.0%
ASCII 250
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
44.4%
( 21
 
8.4%
) 21
 
8.4%
1 19
 
7.6%
, 16
 
6.4%
2 15
 
6.0%
0 7
 
2.8%
5 7
 
2.8%
3 6
 
2.4%
8 6
 
2.4%
Other values (9) 21
 
8.4%
Hangul
ValueCountFrequency (%)
파 24
 
5.9%
동 24
 
5.9%
송 22
 
5.4%
구 22
 
5.4%
서 21
 
5.1%
특 21
 
5.1%
별 21
 
5.1%
시 21
 
5.1%
울 21
 
5.1%
로 21
 
5.1%
Other values (88) 190
46.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing2
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean12304.5
Minimum5500
Maximum138786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:12:39.084898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5500
5-th percentile5501.9
Q15554
median5623
Q35796
95-th percentile12495.85
Maximum138786
Range133286
Interquartile range (IQR)242

Descriptive statistics

Standard deviation29770.891
Coefficient of variation (CV)2.4195125
Kurtosis19.999263
Mean12304.5
Median Absolute Deviation (MAD)80
Skewness4.4720183
Sum246090
Variance8.8630595 × 108
MonotonicityNot monotonic
2024-05-11T15:12:39.222177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5566 2
 
9.1%
5652 2
 
9.1%
5554 2
 
9.1%
5820 1
 
4.5%
5802 1
 
4.5%
5849 1
 
4.5%
5823 1
 
4.5%
5548 1
 
4.5%
5538 1
 
4.5%
5500 1
 
4.5%
Other values (7) 7
31.8%
(Missing) 2
 
9.1%
ValueCountFrequency (%)
5500 1
4.5%
5502 1
4.5%
5538 1
4.5%
5548 1
4.5%
5554 2
9.1%
5566 2
9.1%
5567 1
4.5%
5602 1
4.5%
5644 1
4.5%
5652 2
9.1%
ValueCountFrequency (%)
138786 1
4.5%
5849 1
4.5%
5823 1
4.5%
5820 1
4.5%
5802 1
4.5%
5794 1
4.5%
5771 1
4.5%
5652 2
9.1%
5644 1
4.5%
5602 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:12:39.445915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8
Min length4

Characters and Unicode

Total characters176
Distinct characters87
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row잠실실내수영장
2nd row롯데호텔 실내수영장
3rd row롯데월드스위밍
4th row올림픽수영장
5th row선수촌올림픽스포츠센터
ValueCountFrequency (%)
잠실실내수영장 1
 
3.0%
문정 1
 
3.0%
눈빛사 1
 
3.0%
롯데월드점 1
 
3.0%
잠실 1
 
3.0%
아쿠아랩 1
 
3.0%
스위밍 1
 
3.0%
키즈 1
 
3.0%
헬로우 1
 
3.0%
수영장 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T15:12:39.835745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.2%
스 8
 
4.5%
수 7
 
4.0%
영 6
 
3.4%
장 6
 
3.4%
즈 6
 
3.4%
실 6
 
3.4%
키 5
 
2.8%
잠 4
 
2.3%
아 4
 
2.3%
Other values (77) 113
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
89.2%
Space Separator 11
 
6.2%
Open Punctuation 3
 
1.7%
Close Punctuation 3
 
1.7%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 8
 
5.1%
수 7
 
4.5%
영 6
 
3.8%
장 6
 
3.8%
즈 6
 
3.8%
실 6
 
3.8%
키 5
 
3.2%
잠 4
 
2.5%
아 4
 
2.5%
위 3
 
1.9%
Other values (72) 102
65.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
89.2%
Common 17
 
9.7%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 8
 
5.1%
수 7
 
4.5%
영 6
 
3.8%
장 6
 
3.8%
즈 6
 
3.8%
실 6
 
3.8%
키 5
 
3.2%
잠 4
 
2.5%
아 4
 
2.5%
위 3
 
1.9%
Other values (72) 102
65.0%
Common
ValueCountFrequency (%)
11
64.7%
( 3
 
17.6%
) 3
 
17.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
89.2%
ASCII 19
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
57.9%
( 3
 
15.8%
) 3
 
15.8%
S 1
 
5.3%
L 1
 
5.3%
Hangul
ValueCountFrequency (%)
스 8
 
5.1%
수 7
 
4.5%
영 6
 
3.8%
장 6
 
3.8%
즈 6
 
3.8%
실 6
 
3.8%
키 5
 
3.2%
잠 4
 
2.5%
아 4
 
2.5%
위 3
 
1.9%
Other values (72) 102
65.0%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2008-01-11 11:36:48
Maximum2024-03-28 14:04:37
2024-05-11T15:12:39.985744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:40.130933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
14 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 14
63.6%
U 8
36.4%

Length

2024-05-11T15:12:40.436181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:40.611139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
63.6%
u 8
36.4%

데이터갱신일자
Date

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 21:00:00
2024-05-11T15:12:40.719805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:40.838802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209851.31
Minimum206383.83
Maximum212562.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:12:40.972293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile207305
Q1208302.32
median210296.63
Q3211358.76
95-th percentile212483.5
Maximum212562.62
Range6178.7869
Interquartile range (IQR)3056.4362

Descriptive statistics

Standard deviation1846.2529
Coefficient of variation (CV)0.0087979096
Kurtosis-1.2687181
Mean209851.31
Median Absolute Deviation (MAD)1559.4507
Skewness-0.22704838
Sum4616728.9
Variance3408649.7
MonotonicityNot monotonic
2024-05-11T15:12:41.084667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
211358.758041198 2
 
9.1%
208589.363343145 2
 
9.1%
206383.829438022 1
 
4.5%
211453.050926808 1
 
4.5%
207769.539121995 1
 
4.5%
211333.194598557 1
 
4.5%
212524.306739955 1
 
4.5%
211259.909777857 1
 
4.5%
209536.518980734 1
 
4.5%
210393.799404072 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
206383.829438022 1
4.5%
207280.548175724 1
4.5%
207769.539121995 1
4.5%
207797.570118155 1
4.5%
207880.980589508 1
4.5%
208233.926974585 1
4.5%
208507.506303331 1
4.5%
208589.363343145 2
9.1%
209536.518980734 1
4.5%
210199.45921923 1
4.5%
ValueCountFrequency (%)
212562.616359781 1
4.5%
212524.306739955 1
4.5%
211708.264681572 1
4.5%
211505.231668845 1
4.5%
211453.050926808 1
4.5%
211358.758041198 2
9.1%
211333.194598557 1
4.5%
211259.909777857 1
4.5%
210502.385869424 1
4.5%
210393.799404072 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444888.9
Minimum442109.56
Maximum447319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:12:41.278562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442109.56
5-th percentile442406.01
Q1444045.53
median445153.25
Q3445567.96
95-th percentile446525.12
Maximum447319
Range5209.4358
Interquartile range (IQR)1522.425

Descriptive statistics

Standard deviation1331.5105
Coefficient of variation (CV)0.0029929056
Kurtosis-0.046519438
Mean444888.9
Median Absolute Deviation (MAD)603.19616
Skewness-0.57191732
Sum9787555.8
Variance1772920.2
MonotonicityNot monotonic
2024-05-11T15:12:41.475742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
445248.724359252 2
 
9.1%
445455.90405262 2
 
9.1%
446030.128073052 1
 
4.5%
443165.755655708 1
 
4.5%
445057.77801274 1
 
4.5%
442366.025292141 1
 
4.5%
442109.564102077 1
 
4.5%
443711.702922024 1
 
4.5%
445605.311832064 1
 
4.5%
447318.999887517 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
442109.564102077 1
4.5%
442366.025292141 1
4.5%
443165.755655708 1
4.5%
443174.22073677 1
4.5%
443711.702922024 1
4.5%
443770.811809471 1
4.5%
444869.704228916 1
4.5%
444876.425570827 1
4.5%
444973.241974629 1
4.5%
444978.667534844 1
4.5%
ValueCountFrequency (%)
447318.999887517 1
4.5%
446539.279382444 1
4.5%
446256.122690837 1
4.5%
446030.128073052 1
4.5%
445907.582850538 1
4.5%
445605.311832064 1
4.5%
445455.90405262 2
9.1%
445435.257647797 1
4.5%
445248.724359252 2
9.1%
445057.77801274 1
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
수영장업
14 
<NA>
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수영장업
2nd row<NA>
3rd row수영장업
4th row수영장업
5th row수영장업

Common Values

ValueCountFrequency (%)
수영장업 14
63.6%
<NA> 8
36.4%

Length

2024-05-11T15:12:41.617177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:41.746337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영장업 14
63.6%
na 8
36.4%

공사립구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
사립
14 
<NA>
8 

Length

Max length4
Median length2
Mean length2.7272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row<NA>
3rd row사립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
사립 14
63.6%
<NA> 8
36.4%

Length

2024-05-11T15:12:41.899622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:42.026623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 14
63.6%
na 8
36.4%

보험가입여부코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
15 
Y
5 
0
2 

Length

Max length4
Median length4
Mean length3.0454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
68.2%
Y 5
 
22.7%
0 2
 
9.1%

Length

2024-05-11T15:12:42.179012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:42.319415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
68.2%
y 5
 
22.7%
0 2
 
9.1%

지도자수
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
17 
2
3 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.3181818
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
77.3%
2 3
 
13.6%
1 1
 
4.5%
0 1
 
4.5%

Length

2024-05-11T15:12:42.442343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:42.584799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
77.3%
2 3
 
13.6%
1 1
 
4.5%
0 1
 
4.5%

건축물동수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-05-11T15:12:42.730119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:42.900984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

건축물연면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing15
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean6104.0986
Minimum1648.36
Maximum25180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:12:43.019939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1648.36
5-th percentile1695.454
Q12223.245
median2853.38
Q34300.23
95-th percentile19192.807
Maximum25180
Range23531.64
Interquartile range (IQR)2076.985

Descriptive statistics

Standard deviation8495.017
Coefficient of variation (CV)1.3916907
Kurtosis6.5594277
Mean6104.0986
Median Absolute Deviation (MAD)1048.04
Skewness2.5412799
Sum42728.69
Variance72165313
MonotonicityNot monotonic
2024-05-11T15:12:43.151117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
25180.0 1
 
4.5%
2853.38 1
 
4.5%
3377.77 1
 
4.5%
5222.69 1
 
4.5%
1648.36 1
 
4.5%
2641.15 1
 
4.5%
1805.34 1
 
4.5%
(Missing) 15
68.2%
ValueCountFrequency (%)
1648.36 1
4.5%
1805.34 1
4.5%
2641.15 1
4.5%
2853.38 1
4.5%
3377.77 1
4.5%
5222.69 1
4.5%
25180.0 1
4.5%
ValueCountFrequency (%)
25180.0 1
4.5%
5222.69 1
4.5%
3377.77 1
4.5%
2853.38 1
4.5%
2641.15 1
4.5%
1805.34 1
4.5%
1648.36 1
4.5%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-05-11T15:12:43.293174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:43.453081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03230000CDFH330101119000000119900703<NA>1영업/정상13영업중<NA><NA><NA><NA>2240-8751(8780~1)<NA>138220서울특별시 송파구 잠실동 10번지서울특별시 송파구 올림픽로 25 (잠실동, 종합운동장)5500잠실실내수영장2016-01-04 14:19:49I2018-08-31 23:59:59.0<NA>206383.829438446030.128073수영장업사립<NA><NA><NA><NA><NA><NA><NA>
13230000CDFH33010119880000011988-09-19<NA>1영업/정상13영업중<NA><NA><NA><NA>419-7000<NA>138-220서울특별시 송파구 잠실동 40-1서울특별시 송파구 올림픽로 240, 5층 (잠실동, 롯데호텔)5554롯데호텔 실내수영장2023-09-19 17:34:13U2022-12-08 22:01:00.0<NA>208589.363343445455.904053<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFH330101198900000119890120<NA>3폐업3폐업20081101<NA><NA><NA>411-2000<NA>138220서울특별시 송파구 잠실동 40번지서울특별시 송파구 올림픽로 212 (잠실동)<NA>롯데월드스위밍2008-11-03 21:25:43I2018-08-31 23:59:59.0<NA>208233.926975445435.257648수영장업사립0<NA><NA><NA><NA><NA><NA>
33230000CDFH330101198900000219890320<NA>3폐업3폐업20080111<NA><NA><NA>410-1696<NA>138829서울특별시 송파구 방이동 88번지<NA><NA>올림픽수영장2008-01-11 11:36:48I2018-08-31 23:59:59.0<NA>210199.459219446539.279382수영장업사립0<NA><NA>25180.0<NA><NA><NA>
43230000CDFH330101198900000319890331<NA>3폐업3폐업20100715<NA><NA><NA>401-7582<NA>138786서울특별시 송파구 방이동 89-12번지서울특별시 송파구 양재대로 1222 (방이동)138786선수촌올림픽스포츠센터2012-01-13 15:43:59I2018-08-31 23:59:59.0<NA>211708.264682445907.582851수영장업사립<NA><NA><NA><NA><NA><NA><NA>
53230000CDFH330101199400000119940714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138889서울특별시 송파구 잠실동 1-1번지 한강공원 잠실수영장서울특별시 송파구 한가람로 65 (잠실동, 한강사업본부 잠실안내센터)5502한강공원 잠실수영장2013-06-19 16:52:37I2018-08-31 23:59:59.0<NA>207280.548176446256.122691수영장업사립<NA><NA><NA><NA><NA><NA><NA>
63230000CDFH330101200400000120040309201509114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>402-3291<NA>138816서울특별시 송파구 거여동 289번지서울특별시 송파구 양산로 15 (거여동, 송파구체육문화회관)5771송파구체육문화회관2015-09-11 10:24:43I2018-08-31 23:59:59.0<NA>212562.61636443174.220737수영장업사립<NA><NA><NA><NA><NA><NA><NA>
73230000CDFH330101201100000120111025<NA>1영업/정상13영업중<NA><NA><NA><NA>417-7845<NA><NA>서울특별시 송파구 잠실동 252-11번지서울특별시 송파구 삼전로 지하 95 (잠실동, 태성빌딩)5566아쿠아키즈2018-10-26 14:42:19U2018-10-28 02:37:55.0<NA>207880.98059444978.667535수영장업사립Y<NA><NA>2853.38<NA><NA><NA>
83230000CDFH330101201200000120121012<NA>3폐업3폐업20170613<NA><NA><NA>431-6465<NA>138855서울특별시 송파구 오금동 11번지 현대백조(아)상가 지하2층서울특별시 송파구 양재대로72길 17 (오금동)5652퍼니퍼니2017-06-13 18:21:00I2018-08-31 23:59:59.0<NA>211358.758041445248.724359수영장업사립Y2<NA><NA><NA><NA><NA>
93230000CDFH330101201300000120130225<NA>1영업/정상13영업중<NA><NA><NA><NA>470-1415<NA>138836서울특별시 송파구 방이동 227-9번지 지하1층서울특별시 송파구 오금로 233 (방이동)5644에이치투오 어린이수영장2020-03-26 15:58:17U2020-03-28 02:40:00.0<NA>210502.385869444973.241975수영장업사립Y2<NA>3377.77<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
123230000CDFH33010120140000012014-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-407-1888<NA><NA>서울특별시 송파구 문정동 1 삼성래미안상가 지하1층서울특별시 송파구 문정로 83 (문정동, 문정래미안아파트)5794더블유엘지 문정2023-06-16 09:50:22U2022-12-05 23:08:00.0<NA>211453.050927443165.755656<NA><NA><NA><NA><NA><NA><NA><NA><NA>
133230000CDFH330101201500000120150803<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3012-0707<NA><NA>서울특별시 송파구 가락동 164-18번지서울특별시 송파구 동남로 207 (가락동)5820키즈웨일즈2017-12-22 18:10:25I2018-08-31 23:59:59.0<NA>211505.231669443770.811809수영장업사립Y1<NA>1648.36<NA><NA><NA>
143230000CDFH330101201700000120170627<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 402-4번지서울특별시 송파구 토성로 78 (풍납동, 정민빌딩)5538엘에스(LS)2017-06-27 16:34:55I2018-08-31 23:59:59.0<NA>210393.799404447318.999888수영장업사립Y<NA><NA>2641.15<NA><NA><NA>
153230000CDFH33010120170000022017-07-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-403-6465<NA><NA>서울특별시 송파구 오금동 11서울특별시 송파구 양재대로72길 17 (오금동, 현대백조아파트)5652(주)킨더스윔2024-03-28 14:04:37U2023-12-02 21:00:00.0<NA>211358.758041445248.724359<NA><NA><NA><NA><NA><NA><NA><NA><NA>
163230000CDFH33010120170000032017-10-24<NA>3폐업3폐업2023-06-02<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 67-2서울특별시 송파구 오금로15길 5-12 (방이동, 정환빌딩)5548비바스포츠센타2023-06-02 13:56:42U2022-12-06 00:04:00.0<NA>209536.518981445605.311832<NA><NA><NA><NA><NA><NA><NA><NA><NA>
173230000CDFH330101201900000120190225<NA>1영업/정상13영업중<NA><NA><NA><NA>024821001<NA><NA>서울특별시 송파구 가락동 140번지 가락쌍용아파트서울특별시 송파구 동남로 189, 쌍용프라자 지하2층 (가락동)5823블루라군2019-02-25 14:46:41I2019-02-27 02:21:34.0<NA>211259.909778443711.702922수영장업사립<NA><NA><NA><NA><NA><NA><NA>
183230000CDFH33010120220000012022-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 장지동 881 아이온스퀘어 지하1층 B02호서울특별시 송파구 위례광장로 188, 아이온스퀘어 지하 1층 B02호 (장지동)5849프리라움 수영장2023-10-20 10:49:54U2022-10-30 22:02:00.0<NA>212524.30674442109.564102<NA><NA><NA><NA><NA><NA><NA><NA><NA>
193230000CDFH330101202200000220220224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-8889<NA><NA>서울특별시 송파구 문정동 96-15 부일빌딩 지하층 101호서울특별시 송파구 새말로 133, 부일빌딩 지하층 101호 (문정동)5802헬로우 키즈 스위밍2022-02-24 16:00:42I2022-02-26 00:22:49.0<NA>211333.194599442366.025292수영장업사립<NA>001805.340<NA><NA>
203230000CDFH330101202200000320220927<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2143-1142<NA><NA>서울특별시 송파구 잠실동 40-1 롯데월드 IG-B3F 10,11호서울특별시 송파구 올림픽로 240, 롯데월드 IG-B3F 10,11호 (잠실동)5554아쿠아랩 잠실 롯데월드점2022-09-27 09:26:36I2021-12-08 22:09:00.0<NA>208589.363343445455.904053<NA><NA><NA><NA><NA><NA><NA><NA><NA>
213230000CDFH33010120230000012023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 242-3 한경빌딩서울특별시 송파구 석촌호수로 106, 한경빌딩 지하1층 (잠실동)5566눈빛사 잠실점2023-12-12 18:04:31I2022-11-01 23:04:00.0<NA>207769.539122445057.778013<NA><NA><NA><NA><NA><NA><NA><NA><NA>