Overview

Dataset statistics

Number of variables34
Number of observations37
Missing cells389
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory293.6 B

Variable types

Categorical13
Text6
DateTime3
Unsupported9
Numeric3

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19677/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (59.4%)Imbalance
공사립구분명 is highly imbalanced (59.4%)Imbalance
인허가취소일자 has 37 (100.0%) missing valuesMissing
폐업일자 has 5 (13.5%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
전화번호 has 24 (64.9%) missing valuesMissing
소재지면적 has 37 (100.0%) missing valuesMissing
도로명주소 has 3 (8.1%) missing valuesMissing
도로명우편번호 has 22 (59.5%) missing valuesMissing
업태구분명 has 37 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.7%) missing valuesMissing
좌표정보(Y) has 1 (2.7%) missing valuesMissing
회원모집총인원 has 37 (100.0%) missing valuesMissing
세부업종명 has 37 (100.0%) missing valuesMissing
법인명 has 37 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 02:53:06.449830
Analysis finished2024-05-11 02:53:07.243773
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
3000000
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 37
100.0%

Length

2024-05-11T02:53:07.442504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:07.780127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 37
100.0%

관리번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T02:53:08.159088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters740
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

Unique37 ?
Unique (%)100.0%

Sample

1st rowCDFH3301111993000001
2nd rowCDFH3301111993000002
3rd rowCDFH3301111993000003
4th rowCDFH3301111996000001
5th rowCDFH3301111996000002
ValueCountFrequency (%)
cdfh3301111993000001 1
 
2.7%
cdfh3301112001000005 1
 
2.7%
cdfh3301112001000007 1
 
2.7%
cdfh3301112002000001 1
 
2.7%
cdfh3301112002000002 1
 
2.7%
cdfh3301112002000003 1
 
2.7%
cdfh3301112002000004 1
 
2.7%
cdfh3301112002000005 1
 
2.7%
cdfh3301112003000001 1
 
2.7%
cdfh3301112003000002 1
 
2.7%
Other values (27) 27
73.0%
2024-05-11T02:53:08.931366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 274
37.0%
1 145
19.6%
3 86
 
11.6%
2 39
 
5.3%
C 37
 
5.0%
D 37
 
5.0%
F 37
 
5.0%
H 37
 
5.0%
9 28
 
3.8%
5 7
 
0.9%
Other values (3) 13
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 592
80.0%
Uppercase Letter 148
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 274
46.3%
1 145
24.5%
3 86
 
14.5%
2 39
 
6.6%
9 28
 
4.7%
5 7
 
1.2%
6 6
 
1.0%
4 5
 
0.8%
7 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 37
25.0%
D 37
25.0%
F 37
25.0%
H 37
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 592
80.0%
Latin 148
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 274
46.3%
1 145
24.5%
3 86
 
14.5%
2 39
 
6.6%
9 28
 
4.7%
5 7
 
1.2%
6 6
 
1.0%
4 5
 
0.8%
7 2
 
0.3%
Latin
ValueCountFrequency (%)
C 37
25.0%
D 37
25.0%
F 37
25.0%
H 37
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 274
37.0%
1 145
19.6%
3 86
 
11.6%
2 39
 
5.3%
C 37
 
5.0%
D 37
 
5.0%
F 37
 
5.0%
H 37
 
5.0%
9 28
 
3.8%
5 7
 
0.9%
Other values (3) 13
 
1.8%

인허가일자
Date

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1993-01-20 00:00:00
Maximum2011-03-31 00:00:00
2024-05-11T02:53:09.265710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:53:09.502257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
3
27 
4
5 
1
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 27
73.0%
4 5
 
13.5%
1 5
 
13.5%

Length

2024-05-11T02:53:09.748671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:09.978364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
73.0%
4 5
 
13.5%
1 5
 
13.5%

영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
폐업
27 
취소/말소/만료/정지/중지
5 
영업/정상
5 

Length

Max length14
Median length2
Mean length4.027027
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
73.0%
취소/말소/만료/정지/중지 5
 
13.5%
영업/정상 5
 
13.5%

Length

2024-05-11T02:53:10.260484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:10.467218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
73.0%
취소/말소/만료/정지/중지 5
 
13.5%
영업/정상 5
 
13.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
3
27 
35
5 
13
5 

Length

Max length2
Median length1
Mean length1.2702703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 27
73.0%
35 5
 
13.5%
13 5
 
13.5%

Length

2024-05-11T02:53:10.828554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:11.159103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
73.0%
35 5
 
13.5%
13 5
 
13.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
폐업
27 
직권말소
5 
영업중
5 

Length

Max length4
Median length2
Mean length2.4054054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
73.0%
직권말소 5
 
13.5%
영업중 5
 
13.5%

Length

2024-05-11T02:53:11.512734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:11.841792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
73.0%
직권말소 5
 
13.5%
영업중 5
 
13.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)87.5%
Missing5
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean20084724
Minimum19991109
Maximum20181218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T02:53:12.183461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991109
5-th percentile19996552
Q120050179
median20060474
Q320143395
95-th percentile20165631
Maximum20181218
Range190109
Interquartile range (IQR)93216.25

Descriptive statistics

Standard deviation58757.236
Coefficient of variation (CV)0.0029254689
Kurtosis-1.3448789
Mean20084724
Median Absolute Deviation (MAD)50045.5
Skewness0.082788689
Sum6.4271118 × 108
Variance3.4524128 × 109
MonotonicityNot monotonic
2024-05-11T02:53:12.605544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20150925 3
 
8.1%
20050204 3
 
8.1%
20120215 1
 
2.7%
19991227 1
 
2.7%
20171023 1
 
2.7%
20130419 1
 
2.7%
20150805 1
 
2.7%
20101230 1
 
2.7%
20060419 1
 
2.7%
20050103 1
 
2.7%
Other values (18) 18
48.6%
(Missing) 5
 
13.5%
ValueCountFrequency (%)
19991109 1
 
2.7%
19991227 1
 
2.7%
20000908 1
 
2.7%
20010620 1
 
2.7%
20010627 1
 
2.7%
20030619 1
 
2.7%
20040211 1
 
2.7%
20050103 1
 
2.7%
20050204 3
8.1%
20050207 1
 
2.7%
ValueCountFrequency (%)
20181218 1
 
2.7%
20171023 1
 
2.7%
20161220 1
 
2.7%
20161031 1
 
2.7%
20150925 3
8.1%
20150805 1
 
2.7%
20140925 1
 
2.7%
20140428 1
 
2.7%
20130419 1
 
2.7%
20120215 1
 
2.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing24
Missing (%)64.9%
Memory size428.0 B
2024-05-11T02:53:13.329420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.076923
Min length8

Characters and Unicode

Total characters144
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

Unique11 ?
Unique (%)84.6%

Sample

1st row02-732-1300
2nd row02-742-6400
3rd row02-2274-4555
4th row02-2274-4555
5th row763-5005
ValueCountFrequency (%)
02-2274-4555 2
15.4%
02-732-1300 1
7.7%
02-742-6400 1
7.7%
763-5005 1
7.7%
02-747-0560 1
7.7%
2277-4004 1
7.7%
02-2268-0119 1
7.7%
02-2263-6320 1
7.7%
02-2273-1911 1
7.7%
02-2268-3339 1
7.7%
Other values (2) 2
15.4%
2024-05-11T02:53:14.199141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
19.4%
- 24
16.7%
0 23
16.0%
7 14
9.7%
3 11
 
7.6%
4 10
 
6.9%
5 9
 
6.2%
6 8
 
5.6%
9 7
 
4.9%
1 6
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
83.3%
Dash Punctuation 24
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28
23.3%
0 23
19.2%
7 14
11.7%
3 11
 
9.2%
4 10
 
8.3%
5 9
 
7.5%
6 8
 
6.7%
9 7
 
5.8%
1 6
 
5.0%
8 4
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28
19.4%
- 24
16.7%
0 23
16.0%
7 14
9.7%
3 11
 
7.6%
4 10
 
6.9%
5 9
 
6.2%
6 8
 
5.6%
9 7
 
4.9%
1 6
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
19.4%
- 24
16.7%
0 23
16.0%
7 14
9.7%
3 11
 
7.6%
4 10
 
6.9%
5 9
 
6.2%
6 8
 
5.6%
9 7
 
4.9%
1 6
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소재지우편번호
Categorical

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
110836
9 
110842
8 
110290
3 
110123
2 
110825
2 
Other values (11)
13 

Length

Max length7
Median length6
Mean length6
Min length4

Unique

Unique9 ?
Unique (%)24.3%

Sample

1st row110842
2nd row110071
3rd row110123
4th row110290
5th row110825

Common Values

ValueCountFrequency (%)
110836 9
24.3%
110842 8
21.6%
110290 3
 
8.1%
110123 2
 
5.4%
110825 2
 
5.4%
110826 2
 
5.4%
110840 2
 
5.4%
110071 1
 
2.7%
110090 1
 
2.7%
110851 1
 
2.7%
Other values (6) 6
16.2%

Length

2024-05-11T02:53:14.640704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
110836 9
24.3%
110842 8
21.6%
110290 3
 
8.1%
110123 2
 
5.4%
110825 2
 
5.4%
110826 2
 
5.4%
110840 2
 
5.4%
110071 1
 
2.7%
110090 1
 
2.7%
110851 1
 
2.7%
Other values (6) 6
16.2%

지번주소
Text

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T02:53:15.058161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.702703
Min length19

Characters and Unicode

Total characters840
Distinct characters50
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)78.4%

Sample

1st row서울특별시 종로구 창신동 438-14번지
2nd row서울특별시 종로구 당주동 41번지
3rd row서울특별시 종로구 종로3가 28번지
4th row서울특별시 종로구 인사동 170번지
5th row서울특별시 종로구 숭인동 204-11번지 숭인상가A동319호
ValueCountFrequency (%)
서울특별시 37
24.3%
종로구 37
24.3%
창신동 11
 
7.2%
종로5가 9
 
5.9%
숭인동 5
 
3.3%
인사동 3
 
2.0%
182-5번지 2
 
1.3%
75-4번지 2
 
1.3%
292-0번지 2
 
1.3%
433-1번지 2
 
1.3%
Other values (39) 42
27.6%
2024-05-11T02:53:15.716012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
17.7%
종 50
 
6.0%
로 50
 
6.0%
서 37
 
4.4%
울 37
 
4.4%
특 37
 
4.4%
별 37
 
4.4%
시 37
 
4.4%
구 37
 
4.4%
지 36
 
4.3%
Other values (40) 333
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
58.7%
Decimal Number 162
 
19.3%
Space Separator 149
 
17.7%
Dash Punctuation 33
 
3.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 50
10.1%
로 50
10.1%
서 37
 
7.5%
울 37
 
7.5%
특 37
 
7.5%
별 37
 
7.5%
시 37
 
7.5%
구 37
 
7.5%
지 36
 
7.3%
번 34
 
6.9%
Other values (25) 101
20.5%
Decimal Number
ValueCountFrequency (%)
4 31
19.1%
2 30
18.5%
1 25
15.4%
5 21
13.0%
3 15
9.3%
0 14
8.6%
8 11
 
6.8%
6 7
 
4.3%
7 5
 
3.1%
9 3
 
1.9%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
58.7%
Common 346
41.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 50
10.1%
로 50
10.1%
서 37
 
7.5%
울 37
 
7.5%
특 37
 
7.5%
별 37
 
7.5%
시 37
 
7.5%
구 37
 
7.5%
지 36
 
7.3%
번 34
 
6.9%
Other values (25) 101
20.5%
Common
ValueCountFrequency (%)
149
43.1%
- 33
 
9.5%
4 31
 
9.0%
2 30
 
8.7%
1 25
 
7.2%
5 21
 
6.1%
3 15
 
4.3%
0 14
 
4.0%
8 11
 
3.2%
6 7
 
2.0%
Other values (4) 10
 
2.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
58.7%
ASCII 347
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
42.9%
- 33
 
9.5%
4 31
 
8.9%
2 30
 
8.6%
1 25
 
7.2%
5 21
 
6.1%
3 15
 
4.3%
0 14
 
4.0%
8 11
 
3.2%
6 7
 
2.0%
Other values (5) 11
 
3.2%
Hangul
ValueCountFrequency (%)
종 50
10.1%
로 50
10.1%
서 37
 
7.5%
울 37
 
7.5%
특 37
 
7.5%
별 37
 
7.5%
시 37
 
7.5%
구 37
 
7.5%
지 36
 
7.3%
번 34
 
6.9%
Other values (25) 101
20.5%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)91.2%
Missing3
Missing (%)8.1%
Memory size428.0 B
2024-05-11T02:53:16.079131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length25.294118
Min length22

Characters and Unicode

Total characters860
Distinct characters59
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

Unique28 ?
Unique (%)82.4%

Sample

1st row서울특별시 종로구 종로46길 33 (창신동)
2nd row서울특별시 종로구 새문안로5길 11-1 (당주동)
3rd row서울특별시 종로구 종로 137-1 (종로3가)
4th row서울특별시 종로구 인사동길 23 (인사동)
5th row서울특별시 종로구 청계천로 391 (숭인동,숭인상가A동319호)
ValueCountFrequency (%)
서울특별시 34
19.5%
종로구 34
19.5%
창신동 11
 
6.3%
종로 9
 
5.2%
종로5가 8
 
4.6%
20 4
 
2.3%
동호로 4
 
2.3%
종로46길 3
 
1.7%
청계천로 3
 
1.7%
숭인동 3
 
1.7%
Other values (50) 61
35.1%
2024-05-11T02:53:16.863478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
17.6%
로 79
 
9.2%
종 67
 
7.8%
서 34
 
4.0%
( 34
 
4.0%
구 34
 
4.0%
) 34
 
4.0%
시 34
 
4.0%
특 34
 
4.0%
별 34
 
4.0%
Other values (49) 325
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
56.9%
Space Separator 151
 
17.6%
Decimal Number 139
 
16.2%
Open Punctuation 34
 
4.0%
Close Punctuation 34
 
4.0%
Dash Punctuation 8
 
0.9%
Other Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 79
16.2%
종 67
13.7%
서 34
 
7.0%
구 34
 
7.0%
시 34
 
7.0%
특 34
 
7.0%
별 34
 
7.0%
울 34
 
7.0%
동 28
 
5.7%
길 15
 
3.1%
Other values (33) 96
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
16.5%
3 22
15.8%
4 20
14.4%
5 19
13.7%
2 19
13.7%
0 15
10.8%
6 11
7.9%
8 5
 
3.6%
9 4
 
2.9%
7 1
 
0.7%
Space Separator
ValueCountFrequency (%)
151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
56.9%
Common 370
43.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 79
16.2%
종 67
13.7%
서 34
 
7.0%
구 34
 
7.0%
시 34
 
7.0%
특 34
 
7.0%
별 34
 
7.0%
울 34
 
7.0%
동 28
 
5.7%
길 15
 
3.1%
Other values (33) 96
19.6%
Common
ValueCountFrequency (%)
151
40.8%
( 34
 
9.2%
) 34
 
9.2%
1 23
 
6.2%
3 22
 
5.9%
4 20
 
5.4%
5 19
 
5.1%
2 19
 
5.1%
0 15
 
4.1%
6 11
 
3.0%
Other values (5) 22
 
5.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
56.9%
ASCII 371
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
40.7%
( 34
 
9.2%
) 34
 
9.2%
1 23
 
6.2%
3 22
 
5.9%
4 20
 
5.4%
5 19
 
5.1%
2 19
 
5.1%
0 15
 
4.0%
6 11
 
3.0%
Other values (6) 23
 
6.2%
Hangul
ValueCountFrequency (%)
로 79
16.2%
종 67
13.7%
서 34
 
7.0%
구 34
 
7.0%
시 34
 
7.0%
특 34
 
7.0%
별 34
 
7.0%
울 34
 
7.0%
동 28
 
5.7%
길 15
 
3.1%
Other values (33) 96
19.6%

도로명우편번호
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing22
Missing (%)59.5%
Memory size428.0 B
2024-05-11T02:53:17.257925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4666667
Min length5

Characters and Unicode

Total characters82
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

Unique12 ?
Unique (%)80.0%

Sample

1st row110123
2nd row03196
3rd row110836
4th row110842
5th row03126
ValueCountFrequency (%)
03196 3
20.0%
110123 1
 
6.7%
110836 1
 
6.7%
110842 1
 
6.7%
03126 1
 
6.7%
110853 1
 
6.7%
03117 1
 
6.7%
03119 1
 
6.7%
110-470 1
 
6.7%
110290 1
 
6.7%
Other values (3) 3
20.0%
2024-05-11T02:53:18.006180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26
31.7%
0 17
20.7%
3 12
14.6%
9 6
 
7.3%
6 5
 
6.1%
2 4
 
4.9%
8 4
 
4.9%
4 3
 
3.7%
5 2
 
2.4%
7 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81
98.8%
Dash Punctuation 1
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
32.1%
0 17
21.0%
3 12
14.8%
9 6
 
7.4%
6 5
 
6.2%
2 4
 
4.9%
8 4
 
4.9%
4 3
 
3.7%
5 2
 
2.5%
7 2
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26
31.7%
0 17
20.7%
3 12
14.6%
9 6
 
7.3%
6 5
 
6.1%
2 4
 
4.9%
8 4
 
4.9%
4 3
 
3.7%
5 2
 
2.4%
7 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26
31.7%
0 17
20.7%
3 12
14.6%
9 6
 
7.3%
6 5
 
6.1%
2 4
 
4.9%
8 4
 
4.9%
4 3
 
3.7%
5 2
 
2.4%
7 2
 
2.4%

사업장명
Text

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T02:53:18.398453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8108108
Min length2

Characters and Unicode

Total characters215
Distinct characters68
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)89.2%

Sample

1st row창 신
2nd row한국표준 무도학원
3rd row한국볼륨 무도학원
4th row장영화땐스 스튜디오
5th row새생활
ValueCountFrequency (%)
무도학원 5
 
10.0%
스포츠댄스 2
 
4.0%
현대스포츠댄스 2
 
4.0%
신 2
 
4.0%
국 1
 
2.0%
스포츠 1
 
2.0%
국제무도학원 1
 
2.0%
방울스포츠댄스학원 1
 
2.0%
정 1
 
2.0%
중앙무도학원 1
 
2.0%
Other values (33) 33
66.0%
2024-05-11T02:53:19.317274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 25
 
11.6%
학 16
 
7.4%
원 16
 
7.4%
13
 
6.0%
무 13
 
6.0%
도 13
 
6.0%
댄 12
 
5.6%
츠 10
 
4.7%
포 10
 
4.7%
대 6
 
2.8%
Other values (58) 81
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
87.4%
Space Separator 13
 
6.0%
Uppercase Letter 11
 
5.1%
Other Punctuation 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 25
 
13.3%
학 16
 
8.5%
원 16
 
8.5%
무 13
 
6.9%
도 13
 
6.9%
댄 12
 
6.4%
츠 10
 
5.3%
포 10
 
5.3%
대 6
 
3.2%
국 4
 
2.1%
Other values (49) 63
33.5%
Uppercase Letter
ValueCountFrequency (%)
D 3
27.3%
S 2
18.2%
K 2
18.2%
C 1
 
9.1%
F 1
 
9.1%
L 1
 
9.1%
O 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
87.4%
Common 16
 
7.4%
Latin 11
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 25
 
13.3%
학 16
 
8.5%
원 16
 
8.5%
무 13
 
6.9%
도 13
 
6.9%
댄 12
 
6.4%
츠 10
 
5.3%
포 10
 
5.3%
대 6
 
3.2%
국 4
 
2.1%
Other values (49) 63
33.5%
Latin
ValueCountFrequency (%)
D 3
27.3%
S 2
18.2%
K 2
18.2%
C 1
 
9.1%
F 1
 
9.1%
L 1
 
9.1%
O 1
 
9.1%
Common
ValueCountFrequency (%)
13
81.2%
. 3
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
87.4%
ASCII 27
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 25
 
13.3%
학 16
 
8.5%
원 16
 
8.5%
무 13
 
6.9%
도 13
 
6.9%
댄 12
 
6.4%
츠 10
 
5.3%
포 10
 
5.3%
대 6
 
3.2%
국 4
 
2.1%
Other values (49) 63
33.5%
ASCII
ValueCountFrequency (%)
13
48.1%
. 3
 
11.1%
D 3
 
11.1%
S 2
 
7.4%
K 2
 
7.4%
C 1
 
3.7%
F 1
 
3.7%
L 1
 
3.7%
O 1
 
3.7%

최종수정일자
Date

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2003-02-07 09:11:15
Maximum2024-04-24 16:54:53
2024-05-11T02:53:19.599864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:53:19.979010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
I
31 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 31
83.8%
U 6
 
16.2%

Length

2024-05-11T02:53:20.283199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:20.604955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
83.8%
u 6
 
16.2%

데이터갱신일자
Date

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-05-11T02:53:20.764881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:53:20.952785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean200250.16
Minimum196583.83
Maximum201834.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T02:53:21.205883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196583.83
5-th percentile198330.84
Q1199902.82
median200354.9
Q3201046.39
95-th percentile201765.83
Maximum201834.95
Range5251.1259
Interquartile range (IQR)1143.5712

Descriptive statistics

Standard deviation1183.2901
Coefficient of variation (CV)0.0059090594
Kurtosis1.4865063
Mean200250.16
Median Absolute Deviation (MAD)673.11815
Skewness-1.1228267
Sum7209005.7
Variance1400175.4
MonotonicityNot monotonic
2024-05-11T02:53:21.615096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
201238.696068454 2
 
5.4%
199913.736412998 2
 
5.4%
200129.775227347 2
 
5.4%
198811.965898086 2
 
5.4%
201028.021886289 2
 
5.4%
200841.176868527 2
 
5.4%
200127.51876762 2
 
5.4%
200342.281179853 1
 
2.7%
200831.786288808 1
 
2.7%
200964.684774217 1
 
2.7%
Other values (19) 19
51.4%
ValueCountFrequency (%)
196583.828151573 1
2.7%
197695.669525769 1
2.7%
198542.567999079 1
2.7%
198713.721333434 1
2.7%
198811.965898086 2
5.4%
199260.723514456 1
2.7%
199303.652669443 1
2.7%
199870.080275739 1
2.7%
199913.736412998 2
5.4%
200121.174982094 1
2.7%
ValueCountFrequency (%)
201834.95408039 1
2.7%
201821.171459418 1
2.7%
201747.387869472 1
2.7%
201627.475436833 1
2.7%
201364.016891795 1
2.7%
201238.696068454 2
5.4%
201236.543011311 1
2.7%
201101.50866306 1
2.7%
201028.021886289 2
5.4%
200964.684774217 1
2.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean452117.02
Minimum451960.92
Maximum452450.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T02:53:21.993251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451960.92
5-th percentile451975.82
Q1452040.82
median452058.2
Q3452181.57
95-th percentile452329.28
Maximum452450.35
Range489.42321
Interquartile range (IQR)140.75168

Descriptive statistics

Standard deviation121.29438
Coefficient of variation (CV)0.00026828095
Kurtosis0.45950983
Mean452117.02
Median Absolute Deviation (MAD)43.139161
Skewness1.097213
Sum16276213
Variance14712.327
MonotonicityNot monotonic
2024-05-11T02:53:22.369105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
452317.86559669 2
 
5.4%
452181.573855188 2
 
5.4%
452034.69521884 2
 
5.4%
452040.822179636 2
 
5.4%
452082.474392538 2
 
5.4%
452049.502624754 2
 
5.4%
452047.758449913 2
 
5.4%
452034.168308564 1
 
2.7%
451988.829440497 1
 
2.7%
452138.719846742 1
 
2.7%
Other values (19) 19
51.4%
ValueCountFrequency (%)
451960.924032848 1
2.7%
451960.981814808 1
2.7%
451980.76162207 1
2.7%
451988.829440497 1
2.7%
452033.842824901 1
2.7%
452034.168308564 1
2.7%
452034.69521884 2
5.4%
452040.822179636 2
5.4%
452047.758449913 2
5.4%
452049.502624754 2
5.4%
ValueCountFrequency (%)
452450.347246254 1
2.7%
452363.525911978 1
2.7%
452317.86559669 2
5.4%
452297.758597168 1
2.7%
452278.103938912 1
2.7%
452264.808900373 1
2.7%
452204.768496736 1
2.7%
452181.573855188 2
5.4%
452138.719846742 1
2.7%
452138.418022337 1
2.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
무도학원업
34 
<NA>
 
3

Length

Max length5
Median length5
Mean length4.9189189
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 34
91.9%
<NA> 3
 
8.1%

Length

2024-05-11T02:53:22.769930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:23.095022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 34
91.9%
na 3
 
8.1%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
사립
34 
<NA>
 
3

Length

Max length4
Median length2
Mean length2.1621622
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 34
91.9%
<NA> 3
 
8.1%

Length

2024-05-11T02:53:23.505661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:23.866278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 34
91.9%
na 3
 
8.1%

보험가입여부코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
29 
0
6 
Y
 
2

Length

Max length4
Median length4
Mean length3.3513514
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
78.4%
0 6
 
16.2%
Y 2
 
5.4%

Length

2024-05-11T02:53:24.229322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:24.565578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
78.4%
0 6
 
16.2%
y 2
 
5.4%

지도자수
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
30 
0
6 
1
 
1

Length

Max length4
Median length4
Mean length3.4324324
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
81.1%
0 6
 
16.2%
1 1
 
2.7%

Length

2024-05-11T02:53:24.932465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:25.199671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
81.1%
0 6
 
16.2%
1 1
 
2.7%

건축물동수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
22 
0
15 

Length

Max length4
Median length4
Mean length2.7837838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
59.5%
0 15
40.5%

Length

2024-05-11T02:53:25.402052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:25.588686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
59.5%
0 15
40.5%

건축물연면적
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
19 
0.0
15 
926.71
 
1
521.04
 
1
529.03
 
1

Length

Max length6
Median length4
Mean length3.7567568
Min length3

Unique

Unique3 ?
Unique (%)8.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
51.4%
0.0 15
40.5%
926.71 1
 
2.7%
521.04 1
 
2.7%
529.03 1
 
2.7%

Length

2024-05-11T02:53:25.923348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:26.277936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
51.4%
0.0 15
40.5%
926.71 1
 
2.7%
521.04 1
 
2.7%
529.03 1
 
2.7%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03000000CDFH330111199300000119930120<NA>3폐업3폐업20080731<NA><NA><NA><NA><NA>110842서울특별시 종로구 창신동 438-14번지서울특별시 종로구 종로46길 33 (창신동)<NA>창 신2008-07-31 17:57:08I2018-08-31 23:59:59.0<NA>200831.786289451988.82944무도학원업사립0<NA><NA><NA><NA><NA><NA>
13000000CDFH330111199300000219930818<NA>3폐업3폐업20060529<NA><NA><NA><NA><NA>110071서울특별시 종로구 당주동 41번지서울특별시 종로구 새문안로5길 11-1 (당주동)<NA>한국표준 무도학원2014-08-28 12:59:48I2018-08-31 23:59:59.0<NA>197695.669526452110.487747무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
23000000CDFH330111199300000319930909<NA>3폐업3폐업20040211<NA><NA><NA>02-732-1300<NA>110123서울특별시 종로구 종로3가 28번지서울특별시 종로구 종로 137-1 (종로3가)110123한국볼륨 무도학원2014-08-28 12:42:58I2018-08-31 23:59:59.0<NA>199303.652669452050.449446무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
33000000CDFH330111199600000119960202<NA>3폐업3폐업20120215<NA><NA><NA><NA><NA>110290서울특별시 종로구 인사동 170번지서울특별시 종로구 인사동길 23 (인사동)<NA>장영화땐스 스튜디오2014-08-28 12:57:23I2018-08-31 23:59:59.0<NA>198713.721333452278.103939무도학원업사립<NA><NA>00.0<NA><NA><NA>
43000000CDFH330111199600000219960603<NA>3폐업3폐업19991227<NA><NA><NA><NA><NA>110825서울특별시 종로구 숭인동 204-11번지 숭인상가A동319호서울특별시 종로구 청계천로 391 (숭인동,숭인상가A동319호)<NA>새생활2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>201747.387869452204.768497무도학원업사립<NA>000.0<NA><NA><NA>
53000000CDFH330111199600000319960617<NA>3폐업3폐업20010620<NA><NA><NA><NA><NA>110826서울특별시 종로구 숭인동 228-5번지<NA><NA>신 설2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>201627.475437452363.525912무도학원업사립<NA>000.0<NA><NA><NA>
63000000CDFH330111199600000419950616<NA>4취소/말소/만료/정지/중지35직권말소20150925<NA><NA><NA><NA><NA>110842서울특별시 종로구 창신동 464-1번지서울특별시 종로구 종로48길 10 (창신동)<NA>동문2015-09-25 10:47:42I2018-08-31 23:59:59.0<NA>200942.787071452138.418022무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
73000000CDFH330111199600000519960911<NA>3폐업3폐업20161220<NA><NA><NA>02-742-6400<NA>110123서울특별시 종로구 종로3가 26-2번지서울특별시 종로구 종로 133 (종로3가)<NA>선진 무도학원2016-12-21 14:18:28I2018-08-31 23:59:59.0<NA>199260.723514452050.064241무도학원업사립<NA><NA>00.0<NA><NA><NA>
83000000CDFH330111199900000119990120<NA>3폐업3폐업19991109<NA><NA><NA><NA><NA>110840서울특별시 종로구 창신동 292-0번지서울특별시 종로구 종로 335 (창신동)<NA>동대문2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>201238.696068452317.865597무도학원업사립<NA>000.0<NA><NA><NA>
93000000CDFH330111199900000219990520<NA>3폐업3폐업20000908<NA><NA><NA><NA><NA>110842서울특별시 종로구 창신동 436-64번지서울특별시 종로구 청계천로 331 (창신동)<NA>유천무도학원2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>201236.543011451980.761622무도학원업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
273000000CDFH330111200300000120030106<NA>3폐업3폐업20050103<NA><NA><NA><NA><NA>110470서울특별시 종로구 연지동 254-1번지서울특별시 종로구 종로31길 22 (연지동)<NA>스포츠댄스2005-01-03 11:01:49I2018-08-31 23:59:59.0<NA>199913.736413452181.573855무도학원업사립0<NA><NA><NA><NA><NA><NA>
283000000CDFH330111200300000220031020<NA>3폐업3폐업20060419<NA><NA><NA>763-5005<NA>110842서울특별시 종로구 창신동 420-2번지서울특별시 종로구 종로44길 56 (창신동)<NA>중앙무도학원2006-04-20 11:17:49I2018-08-31 23:59:59.0<NA>201101.508663452033.842825무도학원업사립01<NA>926.71<NA><NA><NA>
293000000CDFH33011120050000012005-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-0560<NA>110-470서울특별시 종로구 연지동 254-1 한성빌딩(4층)서울특별시 종로구 종로31길 22 (연지동)110-470스포츠댄스2024-04-24 16:54:33U2023-12-03 22:06:00.0<NA>199913.736413452181.573855<NA><NA><NA><NA><NA><NA><NA><NA><NA>
303000000CDFH330111200500000220050322<NA>3폐업3폐업20101230<NA><NA><NA>2277-4004<NA>110836서울특별시 종로구 종로5가 257-1번지서울특별시 종로구 종로 248-1 (종로5가)<NA>정 무도학원2014-08-28 13:39:47I2018-08-31 23:59:59.0<NA>200401.72294452062.95683무도학원업사립<NA><NA><NA>521.04<NA><NA><NA>
313000000CDFH330111200500000320050324<NA>3폐업3폐업20150805<NA><NA><NA>02-2268-0119<NA>110836서울특별시 종로구 종로5가 182-14번지서울특별시 종로구 종로 224 (종로5가)03196방울스포츠댄스학원2015-08-06 09:14:47I2018-08-31 23:59:59.0<NA>200148.604026452051.486947무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
323000000CDFH330111200500000420051028<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2263-6320<NA>110836서울특별시 종로구 종로5가 182-5번지서울특별시 종로구 동호로 406-1 (종로5가)03196국제무도학원2020-03-05 09:52:20U2020-03-07 02:40:00.0<NA>200129.775227452034.695219무도학원업사립Y<NA><NA>529.03<NA><NA><NA>
333000000CDFH330111200700000120071022<NA>3폐업3폐업20130419<NA><NA><NA>02-2273-1911<NA>110290서울특별시 종로구 인사동 75-4번지서울특별시 종로구 삼일대로 403-1 (인사동)110290현대스포츠댄스2014-08-28 13:46:31I2018-08-31 23:59:59.0<NA>198811.965898452040.82218무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
343000000CDFH330111201000000120100210<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2268-3339<NA>110122서울특별시 종로구 종로2가 102-2번지서울특별시 종로구 종로 62 (종로2가)03189탑댄스 스포츠2020-01-30 17:01:16U2020-02-01 02:40:00.0<NA>198542.567999451960.924033무도학원업사립Y<NA><NA><NA><NA><NA><NA>
353000000CDFH330111201000000220100427<NA>3폐업3폐업20171023<NA><NA><NA>02-973-9739<NA>110826서울특별시 종로구 숭인동 304번지서울특별시 종로구 종로 346 (숭인동)03114현대스포츠댄스2017-10-23 15:12:10I2018-08-31 23:59:59.0<NA>201364.016892452297.758597무도학원업사립<NA><NA><NA><NA><NA><NA><NA>
363000000CDFH33011120110000012011-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-764-9788<NA>110-825서울특별시 종로구 숭인동 200-8서울특별시 종로구 종로66길 10 (숭인동)03115김동완 댄스학원2024-04-24 16:53:58U2023-12-03 22:06:00.0<NA>201834.95408452450.347246<NA><NA><NA><NA><NA><NA><NA><NA><NA>