Overview

Dataset statistics

Number of variables34
Number of observations40
Missing cells460
Missing cells (%)33.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory294.3 B

Variable types

Categorical13
Text6
DateTime4
Unsupported9
Numeric2

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19678/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (74.8%)Imbalance
인허가취소일자 has 40 (100.0%) missing valuesMissing
폐업일자 has 15 (37.5%) missing valuesMissing
휴업시작일자 has 40 (100.0%) missing valuesMissing
휴업종료일자 has 40 (100.0%) missing valuesMissing
재개업일자 has 40 (100.0%) missing valuesMissing
전화번호 has 35 (87.5%) missing valuesMissing
소재지면적 has 40 (100.0%) missing valuesMissing
소재지우편번호 has 1 (2.5%) missing valuesMissing
도로명주소 has 37 (92.5%) missing valuesMissing
업태구분명 has 40 (100.0%) missing valuesMissing
좌표정보(X) has 6 (15.0%) missing valuesMissing
좌표정보(Y) has 6 (15.0%) missing valuesMissing
회원모집총인원 has 40 (100.0%) missing valuesMissing
세부업종명 has 40 (100.0%) missing valuesMissing
법인명 has 40 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
회원모집총인원 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 00:17:35.011034
Analysis finished2024-05-11 00:17:35.969977
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3010000
40 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 40
100.0%

Length

2024-05-11T00:17:36.175252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:36.587679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 40
100.0%

관리번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-11T00:17:37.237350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters800
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowCDFH3301111991000001
2nd rowCDFH3301111991000002
3rd rowCDFH3301111991000003
4th rowCDFH3301111992000001
5th rowCDFH3301111992000002
ValueCountFrequency (%)
cdfh3301111991000001 1
 
2.5%
cdfh3301111991000002 1
 
2.5%
cdfh3301112001000003 1
 
2.5%
cdfh3301111999000006 1
 
2.5%
cdfh3301111999000007 1
 
2.5%
cdfh3301112000000001 1
 
2.5%
cdfh3301112000000002 1
 
2.5%
cdfh3301112000000003 1
 
2.5%
cdfh3301112001000001 1
 
2.5%
cdfh3301112001000002 1
 
2.5%
Other values (30) 30
75.0%
2024-05-11T00:17:38.310307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 272
34.0%
1 172
21.5%
3 93
 
11.6%
9 55
 
6.9%
C 40
 
5.0%
D 40
 
5.0%
F 40
 
5.0%
H 40
 
5.0%
2 28
 
3.5%
4 7
 
0.9%
Other values (3) 13
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Uppercase Letter 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 272
42.5%
1 172
26.9%
3 93
 
14.5%
9 55
 
8.6%
2 28
 
4.4%
4 7
 
1.1%
5 5
 
0.8%
6 5
 
0.8%
7 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 40
25.0%
D 40
25.0%
F 40
25.0%
H 40
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
80.0%
Latin 160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 272
42.5%
1 172
26.9%
3 93
 
14.5%
9 55
 
8.6%
2 28
 
4.4%
4 7
 
1.1%
5 5
 
0.8%
6 5
 
0.8%
7 3
 
0.5%
Latin
ValueCountFrequency (%)
C 40
25.0%
D 40
25.0%
F 40
25.0%
H 40
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 272
34.0%
1 172
21.5%
3 93
 
11.6%
9 55
 
6.9%
C 40
 
5.0%
D 40
 
5.0%
F 40
 
5.0%
H 40
 
5.0%
2 28
 
3.5%
4 7
 
0.9%
Other values (3) 13
 
1.6%

인허가일자
Date

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum1991-11-20 00:00:00
Maximum2014-11-19 00:00:00
2024-05-11T00:17:38.749218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:17:39.300731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3
21 
1
14 
4
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 21
52.5%
1 14
35.0%
4 5
 
12.5%

Length

2024-05-11T00:17:39.783468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:40.145081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
52.5%
1 14
35.0%
4 5
 
12.5%

영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
폐업
21 
영업/정상
14 
취소/말소/만료/정지/중지
5 

Length

Max length14
Median length2
Mean length4.55
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 21
52.5%
영업/정상 14
35.0%
취소/말소/만료/정지/중지 5
 
12.5%

Length

2024-05-11T00:17:40.695033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:41.192461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
52.5%
영업/정상 14
35.0%
취소/말소/만료/정지/중지 5
 
12.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3
21 
13
14 
35
5 

Length

Max length2
Median length1
Mean length1.475
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row13
3rd row13
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 21
52.5%
13 14
35.0%
35 5
 
12.5%

Length

2024-05-11T00:17:41.552768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:41.865441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
52.5%
13 14
35.0%
35 5
 
12.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
폐업
21 
영업중
14 
직권말소
5 

Length

Max length4
Median length2
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
52.5%
영업중 14
35.0%
직권말소 5
 
12.5%

Length

2024-05-11T00:17:42.328301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:42.836946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
52.5%
영업중 14
35.0%
직권말소 5
 
12.5%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)84.0%
Missing15
Missing (%)37.5%
Memory size452.0 B
Minimum1999-07-19 00:00:00
Maximum2023-07-28 00:00:00
2024-05-11T00:17:43.175817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:17:43.586299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing35
Missing (%)87.5%
Memory size452.0 B
2024-05-11T00:17:44.119868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters45
Distinct characters10
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

Unique5 ?
Unique (%)100.0%

Sample

1st row2263-5759
2nd row2238-4631
3rd row2279-4435
4th row2265-5776
5th row2268-3339
ValueCountFrequency (%)
2263-5759 1
20.0%
2238-4631 1
20.0%
2279-4435 1
20.0%
2265-5776 1
20.0%
2268-3339 1
20.0%
2024-05-11T00:17:45.100782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10
22.2%
3 7
15.6%
6 5
11.1%
- 5
11.1%
5 5
11.1%
7 4
 
8.9%
9 3
 
6.7%
4 3
 
6.7%
8 2
 
4.4%
1 1
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
88.9%
Dash Punctuation 5
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10
25.0%
3 7
17.5%
6 5
12.5%
5 5
12.5%
7 4
 
10.0%
9 3
 
7.5%
4 3
 
7.5%
8 2
 
5.0%
1 1
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10
22.2%
3 7
15.6%
6 5
11.1%
- 5
11.1%
5 5
11.1%
7 4
 
8.9%
9 3
 
6.7%
4 3
 
6.7%
8 2
 
4.4%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10
22.2%
3 7
15.6%
6 5
11.1%
- 5
11.1%
5 5
11.1%
7 4
 
8.9%
9 3
 
6.7%
4 3
 
6.7%
8 2
 
4.4%
1 1
 
2.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지우편번호
Text

MISSING 

Distinct27
Distinct (%)69.2%
Missing1
Missing (%)2.5%
Memory size452.0 B
2024-05-11T00:17:45.681216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1282051
Min length6

Characters and Unicode

Total characters239
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

Unique21 ?
Unique (%)53.8%

Sample

1st row100-811
2nd row100230
3rd row100330
4th row100878
5th row100819
ValueCountFrequency (%)
100869 5
 
12.8%
100819 4
 
10.3%
100330 3
 
7.7%
100879 2
 
5.1%
100851 2
 
5.1%
100230 2
 
5.1%
100195 1
 
2.6%
100310 1
 
2.6%
100300 1
 
2.6%
100-230 1
 
2.6%
Other values (17) 17
43.6%
2024-05-11T00:17:46.909266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 97
40.6%
1 57
23.8%
8 24
 
10.0%
9 13
 
5.4%
3 13
 
5.4%
6 9
 
3.8%
7 6
 
2.5%
2 6
 
2.5%
- 5
 
2.1%
4 5
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
97.9%
Dash Punctuation 5
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
41.5%
1 57
24.4%
8 24
 
10.3%
9 13
 
5.6%
3 13
 
5.6%
6 9
 
3.8%
7 6
 
2.6%
2 6
 
2.6%
4 5
 
2.1%
5 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 97
40.6%
1 57
23.8%
8 24
 
10.0%
9 13
 
5.4%
3 13
 
5.4%
6 9
 
3.8%
7 6
 
2.5%
2 6
 
2.5%
- 5
 
2.1%
4 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 97
40.6%
1 57
23.8%
8 24
 
10.0%
9 13
 
5.4%
3 13
 
5.4%
6 9
 
3.8%
7 6
 
2.5%
2 6
 
2.5%
- 5
 
2.1%
4 5
 
2.1%

지번주소
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-11T00:17:47.735550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length20.475
Min length13

Characters and Unicode

Total characters819
Distinct characters58
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

Unique35 ?
Unique (%)87.5%

Sample

1st row서울특별시 중구 방산동 4-35
2nd row서울특별시 중구 수표동 60-4번지
3rd row서울특별시 중구 주교동 122-2번지
4th row서울특별시 중구 흥인동 8번지
5th row서울특별시 중구 신당동 130-2번지
ValueCountFrequency (%)
서울특별시 40
24.5%
중구 40
24.5%
황학동 8
 
4.9%
신당동 4
 
2.5%
주교동 4
 
2.5%
110-7번지 3
 
1.8%
흥인동 3
 
1.8%
을지로6가 3
 
1.8%
수표동 3
 
1.8%
광희동1가 2
 
1.2%
Other values (51) 53
32.5%
2024-05-11T00:17:49.016487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
19.3%
서 41
 
5.0%
특 40
 
4.9%
별 40
 
4.9%
시 40
 
4.9%
중 40
 
4.9%
구 40
 
4.9%
울 40
 
4.9%
지 39
 
4.8%
1 35
 
4.3%
Other values (48) 306
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
59.7%
Space Separator 158
 
19.3%
Decimal Number 143
 
17.5%
Dash Punctuation 29
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
 
8.4%
특 40
 
8.2%
별 40
 
8.2%
시 40
 
8.2%
중 40
 
8.2%
구 40
 
8.2%
울 40
 
8.2%
지 39
 
8.0%
번 34
 
7.0%
동 31
 
6.3%
Other values (36) 104
21.3%
Decimal Number
ValueCountFrequency (%)
1 35
24.5%
2 24
16.8%
7 20
14.0%
3 15
10.5%
5 13
 
9.1%
0 9
 
6.3%
4 8
 
5.6%
8 8
 
5.6%
6 7
 
4.9%
9 4
 
2.8%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
59.7%
Common 330
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
 
8.4%
특 40
 
8.2%
별 40
 
8.2%
시 40
 
8.2%
중 40
 
8.2%
구 40
 
8.2%
울 40
 
8.2%
지 39
 
8.0%
번 34
 
7.0%
동 31
 
6.3%
Other values (36) 104
21.3%
Common
ValueCountFrequency (%)
158
47.9%
1 35
 
10.6%
- 29
 
8.8%
2 24
 
7.3%
7 20
 
6.1%
3 15
 
4.5%
5 13
 
3.9%
0 9
 
2.7%
4 8
 
2.4%
8 8
 
2.4%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
59.7%
ASCII 330
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
47.9%
1 35
 
10.6%
- 29
 
8.8%
2 24
 
7.3%
7 20
 
6.1%
3 15
 
4.5%
5 13
 
3.9%
0 9
 
2.7%
4 8
 
2.4%
8 8
 
2.4%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
서 41
 
8.4%
특 40
 
8.2%
별 40
 
8.2%
시 40
 
8.2%
중 40
 
8.2%
구 40
 
8.2%
울 40
 
8.2%
지 39
 
8.0%
번 34
 
7.0%
동 31
 
6.3%
Other values (36) 104
21.3%

도로명주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing37
Missing (%)92.5%
Memory size452.0 B
2024-05-11T00:17:50.026922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length27.333333
Min length25

Characters and Unicode

Total characters82
Distinct characters36
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

Unique3 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 충무로4길 5, 초동 (초동)
2nd row서울특별시 중구 퇴계로51길 206-25 (오장동)
3rd row서울특별시 중구 세종대로 28, 5층 (남대문로5가)
ValueCountFrequency (%)
서울특별시 3
17.6%
중구 3
17.6%
초동 2
11.8%
충무로4길 1
 
5.9%
5 1
 
5.9%
퇴계로51길 1
 
5.9%
206-25 1
 
5.9%
오장동 1
 
5.9%
세종대로 1
 
5.9%
28 1
 
5.9%
Other values (2) 2
11.8%
2024-05-11T00:17:51.494034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
17.1%
5 5
 
6.1%
로 4
 
4.9%
서 3
 
3.7%
2 3
 
3.7%
울 3
 
3.7%
( 3
 
3.7%
동 3
 
3.7%
) 3
 
3.7%
특 3
 
3.7%
Other values (26) 38
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46
56.1%
Space Separator 14
 
17.1%
Decimal Number 13
 
15.9%
Open Punctuation 3
 
3.7%
Close Punctuation 3
 
3.7%
Other Punctuation 2
 
2.4%
Dash Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4
 
8.7%
서 3
 
6.5%
울 3
 
6.5%
동 3
 
6.5%
특 3
 
6.5%
구 3
 
6.5%
별 3
 
6.5%
중 3
 
6.5%
시 3
 
6.5%
초 2
 
4.3%
Other values (14) 16
34.8%
Decimal Number
ValueCountFrequency (%)
5 5
38.5%
2 3
23.1%
8 1
 
7.7%
6 1
 
7.7%
0 1
 
7.7%
1 1
 
7.7%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46
56.1%
Common 36
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4
 
8.7%
서 3
 
6.5%
울 3
 
6.5%
동 3
 
6.5%
특 3
 
6.5%
구 3
 
6.5%
별 3
 
6.5%
중 3
 
6.5%
시 3
 
6.5%
초 2
 
4.3%
Other values (14) 16
34.8%
Common
ValueCountFrequency (%)
14
38.9%
5 5
 
13.9%
2 3
 
8.3%
( 3
 
8.3%
) 3
 
8.3%
, 2
 
5.6%
8 1
 
2.8%
- 1
 
2.8%
6 1
 
2.8%
0 1
 
2.8%
Other values (2) 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46
56.1%
ASCII 36
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
38.9%
5 5
 
13.9%
2 3
 
8.3%
( 3
 
8.3%
) 3
 
8.3%
, 2
 
5.6%
8 1
 
2.8%
- 1
 
2.8%
6 1
 
2.8%
0 1
 
2.8%
Other values (2) 2
 
5.6%
Hangul
ValueCountFrequency (%)
로 4
 
8.7%
서 3
 
6.5%
울 3
 
6.5%
동 3
 
6.5%
특 3
 
6.5%
구 3
 
6.5%
별 3
 
6.5%
중 3
 
6.5%
시 3
 
6.5%
초 2
 
4.3%
Other values (14) 16
34.8%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
37 
100300
 
1
100310
 
1
4527
 
1

Length

Max length6
Median length4
Mean length4.1
Min length4

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
92.5%
100300 1
 
2.5%
100310 1
 
2.5%
4527 1
 
2.5%

Length

2024-05-11T00:17:52.079722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:53.022043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
92.5%
100300 1
 
2.5%
100310 1
 
2.5%
4527 1
 
2.5%

사업장명
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-11T00:17:53.836677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.475
Min length2

Characters and Unicode

Total characters259
Distinct characters52
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

Unique31 ?
Unique (%)77.5%

Sample

1st row한미현대무도학원
2nd row한국무도학원
3rd row백조무도학원
4th row서울무도학원
5th row중앙무도학원
ValueCountFrequency (%)
서울무도학원 3
 
6.8%
댄스스포츠학원 2
 
4.5%
대한무도학원 2
 
4.5%
무도학원 2
 
4.5%
영미무도학원 2
 
4.5%
백조무도학원 2
 
4.5%
한미현대무도학원 1
 
2.3%
국제스포츠댄스학원 1
 
2.3%
명보댄스스포츠 1
 
2.3%
탑 1
 
2.3%
Other values (27) 27
61.4%
2024-05-11T00:17:55.130371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 37
14.3%
원 37
14.3%
무 33
12.7%
도 32
12.4%
스 15
 
5.8%
한 9
 
3.5%
댄 8
 
3.1%
츠 7
 
2.7%
포 7
 
2.7%
국 5
 
1.9%
Other values (42) 69
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
98.5%
Space Separator 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 37
14.5%
원 37
14.5%
무 33
12.9%
도 32
12.5%
스 15
 
5.9%
한 9
 
3.5%
댄 8
 
3.1%
츠 7
 
2.7%
포 7
 
2.7%
국 5
 
2.0%
Other values (41) 65
25.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
98.5%
Common 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 37
14.5%
원 37
14.5%
무 33
12.9%
도 32
12.5%
스 15
 
5.9%
한 9
 
3.5%
댄 8
 
3.1%
츠 7
 
2.7%
포 7
 
2.7%
국 5
 
2.0%
Other values (41) 65
25.5%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
98.5%
ASCII 4
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 37
14.5%
원 37
14.5%
무 33
12.9%
도 32
12.5%
스 15
 
5.9%
한 9
 
3.5%
댄 8
 
3.1%
츠 7
 
2.7%
포 7
 
2.7%
국 5
 
2.0%
Other values (41) 65
25.5%
ASCII
ValueCountFrequency (%)
4
100.0%

최종수정일자
Date

Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2003-02-11 17:52:00
Maximum2023-07-31 13:44:38
2024-05-11T00:17:55.819935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:17:56.883556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
I
35 
U
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 35
87.5%
U 5
 
12.5%

Length

2024-05-11T00:17:57.401060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:57.733997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
87.5%
u 5
 
12.5%

데이터갱신일자
Date

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:02:00
2024-05-11T00:17:58.034937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:17:58.461274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)88.2%
Missing6
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean200391.56
Minimum197537.09
Maximum201993.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T00:17:58.929715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197537.09
5-th percentile197687.42
Q1199683.26
median200460.9
Q3201570.95
95-th percentile201815.7
Maximum201993.23
Range4456.1427
Interquartile range (IQR)1887.6864

Descriptive statistics

Standard deviation1289.2927
Coefficient of variation (CV)0.0064338671
Kurtosis-0.31304472
Mean200391.56
Median Absolute Deviation (MAD)1087.6783
Skewness-0.69581746
Sum6813313
Variance1662275.6
MonotonicityNot monotonic
2024-05-11T00:17:59.566559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201493.81751023 3
 
7.5%
201724.04001526 2
 
5.0%
199049.025989121 2
 
5.0%
197663.367918935 1
 
2.5%
197700.367608527 1
 
2.5%
199327.268552357 1
 
2.5%
199267.478871295 1
 
2.5%
200510.28666759 1
 
2.5%
200411.522050783 1
 
2.5%
201628.053846152 1
 
2.5%
Other values (20) 20
50.0%
(Missing) 6
 
15.0%
ValueCountFrequency (%)
197537.085257421 1
2.5%
197663.367918935 1
2.5%
197700.367608527 1
2.5%
198911.0286441 1
2.5%
199049.025989121 2
5.0%
199267.478871295 1
2.5%
199327.268552357 1
2.5%
199652.596554208 1
2.5%
199775.262354042 1
2.5%
199778.775533417 1
2.5%
ValueCountFrequency (%)
201993.227929317 1
 
2.5%
201985.916298808 1
 
2.5%
201724.04001526 2
5.0%
201635.576672707 1
 
2.5%
201628.053846152 1
 
2.5%
201620.435515702 1
 
2.5%
201601.786168123 1
 
2.5%
201593.31616629 1
 
2.5%
201503.849104738 1
 
2.5%
201493.81751023 3
7.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)88.2%
Missing6
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean451495.86
Minimum450691.4
Maximum452025.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T00:18:00.040443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450691.4
5-th percentile450932.12
Q1451407.42
median451511.39
Q3451709.77
95-th percentile451903.41
Maximum452025.53
Range1334.1218
Interquartile range (IQR)302.34654

Descriptive statistics

Standard deviation296.6198
Coefficient of variation (CV)0.00065697124
Kurtosis1.4910074
Mean451495.86
Median Absolute Deviation (MAD)117.46089
Skewness-0.91737503
Sum15350859
Variance87983.303
MonotonicityNot monotonic
2024-05-11T00:18:00.717713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
451443.482518591 3
 
7.5%
451533.911551915 2
 
5.0%
451709.766104575 2
 
5.0%
450691.40424021 1
 
2.5%
450733.831413898 1
 
2.5%
451427.992439409 1
 
2.5%
451500.977907474 1
 
2.5%
451400.561935357 1
 
2.5%
451397.541417783 1
 
2.5%
452025.526057499 1
 
2.5%
Other values (20) 20
50.0%
(Missing) 6
 
15.0%
ValueCountFrequency (%)
450691.40424021 1
2.5%
450733.831413898 1
2.5%
451038.891443622 1
2.5%
451082.214388761 1
2.5%
451191.240377679 1
2.5%
451293.052993019 1
2.5%
451390.314217712 1
2.5%
451397.541417783 1
2.5%
451400.561935357 1
2.5%
451427.992439409 1
2.5%
ValueCountFrequency (%)
452025.526057499 1
2.5%
451950.849083821 1
2.5%
451877.872947748 1
2.5%
451862.481477813 1
2.5%
451769.818951991 1
2.5%
451741.989424603 1
2.5%
451718.128484063 1
2.5%
451714.618337112 1
2.5%
451709.766104575 2
5.0%
451592.100648227 1
2.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
무도학원업
35 
<NA>
5 

Length

Max length5
Median length5
Mean length4.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 35
87.5%
<NA> 5
 
12.5%

Length

2024-05-11T00:18:01.450750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:01.934052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 35
87.5%
na 5
 
12.5%

공사립구분명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
사립
35 
<NA>
5 

Length

Max length4
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 35
87.5%
<NA> 5
 
12.5%

Length

2024-05-11T00:18:02.490659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:02.902339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 35
87.5%
na 5
 
12.5%

보험가입여부코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
29 
0
10 
1
 
1

Length

Max length4
Median length4
Mean length3.175
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
72.5%
0 10
 
25.0%
1 1
 
2.5%

Length

2024-05-11T00:18:03.326957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:03.753797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
72.5%
0 10
 
25.0%
1 1
 
2.5%

지도자수
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
23 
0
17 

Length

Max length4
Median length4
Mean length2.725
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
57.5%
0 17
42.5%

Length

2024-05-11T00:18:04.444548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:04.851144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
57.5%
0 17
42.5%

건축물동수
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
20 
0
19 
1
 
1

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
50.0%
0 19
47.5%
1 1
 
2.5%

Length

2024-05-11T00:18:05.323924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:05.683510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
50.0%
0 19
47.5%
1 1
 
2.5%

건축물연면적
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
20 
0.0
19 
638.62
 
1

Length

Max length6
Median length5
Mean length3.575
Min length3

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row0.0
3rd row0.0
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 20
50.0%
0.0 19
47.5%
638.62 1
 
2.5%

Length

2024-05-11T00:18:06.076172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:06.488185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
50.0%
0.0 19
47.5%
638.62 1
 
2.5%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03010000CDFH33011119910000011991-11-20<NA>4취소/말소/만료/정지/중지35직권말소2023-07-28<NA><NA><NA><NA><NA>100-811서울특별시 중구 방산동 4-35<NA><NA>한미현대무도학원2023-07-31 13:44:09U2022-12-08 00:02:00.0<NA>200086.698049451862.481478<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13010000CDFH330111199100000219911213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100230서울특별시 중구 수표동 60-4번지<NA><NA>한국무도학원2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA><NA><NA>무도학원업사립<NA>000.0<NA><NA><NA>
23010000CDFH330111199100000319911223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100330서울특별시 중구 주교동 122-2번지<NA><NA>백조무도학원2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>199778.775533451769.818952무도학원업사립<NA>000.0<NA><NA><NA>
33010000CDFH330111199200000119920108<NA>3폐업3폐업20041025<NA><NA><NA><NA><NA>100878서울특별시 중구 흥인동 8번지<NA><NA>서울무도학원2004-10-25 12:58:51I2018-08-31 23:59:59.0<NA>201374.796371451714.618337무도학원업사립0<NA><NA><NA><NA><NA><NA>
43010000CDFH330111199200000219920114<NA>3폐업3폐업20180313<NA><NA><NA><NA><NA>100819서울특별시 중구 신당동 130-2번지<NA><NA>중앙무도학원2018-03-14 10:27:53I2018-08-31 23:59:59.0<NA>201593.316166451464.520242무도학원업사립<NA><NA>00.0<NA><NA><NA>
53010000CDFH330111199200000319921209<NA>3폐업3폐업20020924<NA><NA><NA><NA><NA>100871서울특별시 중구 황학동 1687번지<NA><NA>대한무도학원2004-08-25 13:12:31I2018-08-31 23:59:59.0<NA>201985.916299451950.849084무도학원업사립0<NA><NA><NA><NA><NA><NA>
63010000CDFH33011119930000011993-01-14<NA>4취소/말소/만료/정지/중지35직권말소2023-03-29<NA><NA><NA><NA><NA>100-330서울특별시 중구 주교동 147-1<NA><NA>한국댄스무도학원2023-03-30 10:23:04U2022-12-04 00:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000CDFH330111199300000219930114<NA>3폐업3폐업20000721<NA><NA><NA><NA><NA>100330서울특별시 중구 주교동 12-2번지<NA><NA>백조무도학원2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>200029.135645451877.872948무도학원업사립<NA>000.0<NA><NA><NA>
83010000CDFH330111199300000319930120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100851서울특별시 중구 을지로6가 20-2번지<NA><NA>중부무도학원2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>200579.196899451472.436069무도학원업사립<NA>000.0<NA><NA><NA>
93010000CDFH330111199300000419930211<NA>3폐업3폐업20160428<NA><NA><NA><NA><NA>100819서울특별시 중구 신당동 110-7번지<NA><NA>신당무도학원2016-04-28 17:47:58I2018-08-31 23:59:59.0<NA>201493.81751451443.482519무도학원업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
303010000CDFH330111200100000420010803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100819서울특별시 중구 신당동 110-7번지<NA><NA>대한무도학원2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>201493.81751451443.482519무도학원업사립<NA>000.0<NA><NA><NA>
313010000CDFH330111200100000520011017<NA>3폐업3폐업20110222<NA><NA><NA><NA><NA>100195서울특별시 중구 을지로5가 77-24번지<NA><NA>동양스포츠무도학원2012-01-02 12:47:51I2018-08-31 23:59:59.0<NA>200206.487955451592.100648무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
323010000CDFH33011120030000012003-12-06<NA>4취소/말소/만료/정지/중지35직권말소2023-07-28<NA><NA><NA>2238-4631<NA>100-868서울특별시 중구 황학동 1<NA><NA>한국댄스학원2023-07-31 13:43:03U2022-12-08 00:02:00.0<NA>201628.053846452025.526057<NA><NA><NA><NA><NA><NA><NA><NA><NA>
333010000CDFH33011120040000012004-09-15<NA>4취소/말소/만료/정지/중지35직권말소2023-07-28<NA><NA><NA>2279-4435<NA>100-411서울특별시 중구 광희동1가 98<NA><NA>국제스포츠댄스학원2023-07-31 13:43:42U2022-12-08 00:02:00.0<NA>200411.522051451397.541418<NA><NA><NA><NA><NA><NA><NA><NA><NA>
343010000CDFH330111200500000120050422<NA>3폐업3폐업20131211<NA><NA><NA><NA><NA>100411서울특별시 중구 광희동1가 187-5번지 4층<NA><NA>을지무도학원2013-12-11 17:29:48I2018-08-31 23:59:59.0<NA>200510.286668451400.561935무도학원업사립0<NA>1638.62<NA><NA><NA>
353010000CDFH330111200600000120061101<NA>1영업/정상13영업중<NA><NA><NA><NA>2265-5776<NA>100846서울특별시 중구 을지로3가 296-1번지 3층<NA><NA>한일무도학원2006-11-01 16:42:25I2018-08-31 23:59:59.0<NA>199267.478871451500.977907무도학원업사립1<NA><NA><NA><NA><NA><NA>
363010000CDFH33011120070000012007-09-21<NA>4취소/말소/만료/정지/중지35직권말소2023-07-28<NA><NA><NA>2268-3339<NA>100-230서울특별시 중구 수표동 11-7<NA><NA>탑 댄스스포츠2023-07-31 13:44:38U2022-12-08 00:02:00.0<NA>199049.025989451709.766105<NA><NA><NA><NA><NA><NA><NA><NA><NA>
373010000CDFH330111201100000120111115<NA>3폐업3폐업20150311<NA><NA><NA><NA><NA>100300서울특별시 중구 초동 17-2번지서울특별시 중구 충무로4길 5, 초동 (초동)100300명보댄스스포츠2015-03-11 08:54:50I2018-08-31 23:59:59.0<NA>199327.268552451427.992439무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
383010000CDFH330111201400000120140408<NA>3폐업3폐업20160930<NA><NA><NA><NA><NA>100310서울특별시 중구 오장동서울특별시 중구 퇴계로51길 206-25 (오장동)100310현대 무도학원2016-09-30 14:31:49I2018-08-31 23:59:59.0<NA><NA><NA>무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
393010000CDFH330111201400000220141119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로5가 20-1번지서울특별시 중구 세종대로 28, 5층 (남대문로5가)4527썬 무도학원2016-12-28 16:45:02I2018-08-31 23:59:59.0<NA>197700.367609450733.831414무도학원업사립<NA><NA><NA><NA><NA><NA><NA>