Overview

Dataset statistics

Number of variables56
Number of observations182
Missing cells5064
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.3 KiB
Average record size in memory485.7 B

Variable types

Categorical17
Text9
DateTime4
Unsupported23
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,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17874/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (56.2%)Imbalance
영업상태명 is highly imbalanced (56.2%)Imbalance
상세영업상태코드 is highly imbalanced (58.7%)Imbalance
상세영업상태명 is highly imbalanced (58.7%)Imbalance
데이터갱신구분 is highly imbalanced (53.2%)Imbalance
총층수 is highly imbalanced (75.9%)Imbalance
지상층수 is highly imbalanced (76.1%)Imbalance
지하층수 is highly imbalanced (73.7%)Imbalance
건물용도명 is highly imbalanced (81.8%)Imbalance
통로너비 is highly imbalanced (79.1%)Imbalance
조명시설조도 is highly imbalanced (79.1%)Imbalance
노래방실수 is highly imbalanced (79.1%)Imbalance
청소년실수 is highly imbalanced (79.1%)Imbalance
총게임기수 is highly imbalanced (79.1%)Imbalance
인허가취소일자 has 182 (100.0%) missing valuesMissing
폐업일자 has 149 (81.9%) missing valuesMissing
휴업시작일자 has 182 (100.0%) missing valuesMissing
휴업종료일자 has 182 (100.0%) missing valuesMissing
재개업일자 has 182 (100.0%) missing valuesMissing
전화번호 has 53 (29.1%) missing valuesMissing
소재지면적 has 182 (100.0%) missing valuesMissing
소재지우편번호 has 101 (55.5%) missing valuesMissing
지번주소 has 8 (4.4%) missing valuesMissing
도로명주소 has 4 (2.2%) missing valuesMissing
도로명우편번호 has 48 (26.4%) missing valuesMissing
업태구분명 has 182 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.6%) missing valuesMissing
좌표정보(Y) has 3 (1.6%) missing valuesMissing
주변환경명 has 178 (97.8%) missing valuesMissing
제작취급품목내용 has 182 (100.0%) missing valuesMissing
시설면적 has 154 (84.6%) missing valuesMissing
비상계단여부 has 182 (100.0%) missing valuesMissing
비상구여부 has 182 (100.0%) missing valuesMissing
자동환기여부 has 182 (100.0%) missing valuesMissing
청소년실여부 has 182 (100.0%) missing valuesMissing
특수조명여부 has 182 (100.0%) missing valuesMissing
방음시설여부 has 182 (100.0%) missing valuesMissing
비디오재생기명 has 182 (100.0%) missing valuesMissing
조명시설유무 has 182 (100.0%) missing valuesMissing
음향시설여부 has 182 (100.0%) missing valuesMissing
편의시설여부 has 182 (100.0%) missing valuesMissing
소방시설여부 has 182 (100.0%) missing valuesMissing
기존게임업외업종명 has 182 (100.0%) missing valuesMissing
제공게임물명 has 182 (100.0%) missing valuesMissing
공연장형태구분명 has 182 (100.0%) missing valuesMissing
품목명 has 182 (100.0%) missing valuesMissing
최초등록시점 has 182 (100.0%) missing valuesMissing
지역구분명 has 177 (97.3%) 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 21 (11.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:01:02.487490
Analysis finished2024-05-11 07:01:03.687957
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3220000
182 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 182
100.0%

Length

2024-05-11T16:01:03.812984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:04.065793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 182
100.0%

관리번호
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T16:01:04.352019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3640
Distinct characters14
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

Unique182 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001988000002
2nd rowCDFG1252001991000001
3rd rowCDFG1252001999000002
4th rowCDFG1252001999000003
5th rowCDFG1252001999000004
ValueCountFrequency (%)
cdfg1252001988000002 1
 
0.5%
cdfg1252002016000018 1
 
0.5%
cdfg1252002016000020 1
 
0.5%
cdfg1252002017000001 1
 
0.5%
cdfg1252002017000002 1
 
0.5%
cdfg1252002017000003 1
 
0.5%
cdfg1252002017000004 1
 
0.5%
cdfg1252002017000005 1
 
0.5%
cdfg1252002017000007 1
 
0.5%
cdfg1252002017000008 1
 
0.5%
Other values (172) 172
94.5%
2024-05-11T16:01:04.937594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1478
40.6%
2 635
17.4%
1 376
 
10.3%
5 220
 
6.0%
C 182
 
5.0%
D 182
 
5.0%
F 182
 
5.0%
G 182
 
5.0%
4 39
 
1.1%
3 38
 
1.0%
Other values (4) 126
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2912
80.0%
Uppercase Letter 728
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1478
50.8%
2 635
21.8%
1 376
 
12.9%
5 220
 
7.6%
4 39
 
1.3%
3 38
 
1.3%
6 35
 
1.2%
7 34
 
1.2%
9 31
 
1.1%
8 26
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 182
25.0%
D 182
25.0%
F 182
25.0%
G 182
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2912
80.0%
Latin 728
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1478
50.8%
2 635
21.8%
1 376
 
12.9%
5 220
 
7.6%
4 39
 
1.3%
3 38
 
1.3%
6 35
 
1.2%
7 34
 
1.2%
9 31
 
1.1%
8 26
 
0.9%
Latin
ValueCountFrequency (%)
C 182
25.0%
D 182
25.0%
F 182
25.0%
G 182
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1478
40.6%
2 635
17.4%
1 376
 
10.3%
5 220
 
6.0%
C 182
 
5.0%
D 182
 
5.0%
F 182
 
5.0%
G 182
 
5.0%
4 39
 
1.1%
3 38
 
1.0%
Other values (4) 126
 
3.5%

인허가일자
Date

Distinct177
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1973-01-25 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T16:01:05.181024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:05.449761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
149 
3
22 
5
 
10
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 149
81.9%
3 22
 
12.1%
5 10
 
5.5%
4 1
 
0.5%

Length

2024-05-11T16:01:05.684916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:05.857354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 149
81.9%
3 22
 
12.1%
5 10
 
5.5%
4 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
149 
폐업
22 
제외/삭제/전출
 
10
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8516484
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 149
81.9%
폐업 22
 
12.1%
제외/삭제/전출 10
 
5.5%
취소/말소/만료/정지/중지 1
 
0.5%

Length

2024-05-11T16:01:06.081591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:06.310386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 149
81.9%
폐업 22
 
12.1%
제외/삭제/전출 10
 
5.5%
취소/말소/만료/정지/중지 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
13
147 
3
22 
15
 
10
14
 
2
35
 
1

Length

Max length2
Median length2
Mean length1.8791209
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 147
80.8%
3 22
 
12.1%
15 10
 
5.5%
14 2
 
1.1%
35 1
 
0.5%

Length

2024-05-11T16:01:06.578016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:06.799456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 147
80.8%
3 22
 
12.1%
15 10
 
5.5%
14 2
 
1.1%
35 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업중
147 
폐업
22 
전출
 
10
전입
 
2
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8186813
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 147
80.8%
폐업 22
 
12.1%
전출 10
 
5.5%
전입 2
 
1.1%
직권말소 1
 
0.5%

Length

2024-05-11T16:01:07.038124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:07.282968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 147
80.8%
폐업 22
 
12.1%
전출 10
 
5.5%
전입 2
 
1.1%
직권말소 1
 
0.5%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)100.0%
Missing149
Missing (%)81.9%
Memory size1.6 KiB
Minimum2000-03-30 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T16:01:07.505523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:07.749867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct127
Distinct (%)98.4%
Missing53
Missing (%)29.1%
Memory size1.6 KiB
2024-05-11T16:01:08.249780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.736434
Min length8

Characters and Unicode

Total characters1385
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)96.9%

Sample

1st row02-3485-8411
2nd row02-566-8020
3rd row393-0836
4th row517-5555
5th row02-586-1690
ValueCountFrequency (%)
3446-9657 2
 
1.6%
02-512-7877 2
 
1.6%
02-548-1955 1
 
0.8%
02-2052-6660 1
 
0.8%
02-6467-3399 1
 
0.8%
02-563-2003 1
 
0.8%
070-7168-5633 1
 
0.8%
02-538-7587 1
 
0.8%
02-3458-7136 1
 
0.8%
02-518-2320 1
 
0.8%
Other values (117) 117
90.7%
2024-05-11T16:01:08.993371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 224
16.2%
0 204
14.7%
2 172
12.4%
5 166
12.0%
4 116
8.4%
3 108
7.8%
6 90
6.5%
1 82
 
5.9%
7 81
 
5.8%
8 79
 
5.7%
Other values (2) 63
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1160
83.8%
Dash Punctuation 224
 
16.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
17.6%
2 172
14.8%
5 166
14.3%
4 116
10.0%
3 108
9.3%
6 90
7.8%
1 82
7.1%
7 81
 
7.0%
8 79
 
6.8%
9 62
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 224
16.2%
0 204
14.7%
2 172
12.4%
5 166
12.0%
4 116
8.4%
3 108
7.8%
6 90
6.5%
1 82
 
5.9%
7 81
 
5.8%
8 79
 
5.7%
Other values (2) 63
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 224
16.2%
0 204
14.7%
2 172
12.4%
5 166
12.0%
4 116
8.4%
3 108
7.8%
6 90
6.5%
1 82
 
5.9%
7 81
 
5.8%
8 79
 
5.7%
Other values (2) 63
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)70.4%
Missing101
Missing (%)55.5%
Memory size1.6 KiB
2024-05-11T16:01:09.375737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0493827
Min length6

Characters and Unicode

Total characters490
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

Unique41 ?
Unique (%)50.6%

Sample

1st row135-995
2nd row135935
3rd row135821
4th row135838
5th row135867
ValueCountFrequency (%)
135887 5
 
6.2%
135888 4
 
4.9%
135818 3
 
3.7%
135936 3
 
3.7%
135889 3
 
3.7%
135924 2
 
2.5%
135847 2
 
2.5%
135891 2
 
2.5%
135878 2
 
2.5%
135895 2
 
2.5%
Other values (47) 53
65.4%
2024-05-11T16:01:09.993920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 103
21.0%
3 101
20.6%
5 98
20.0%
8 83
16.9%
9 38
 
7.8%
7 15
 
3.1%
4 15
 
3.1%
2 14
 
2.9%
0 10
 
2.0%
6 9
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 486
99.2%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 103
21.2%
3 101
20.8%
5 98
20.2%
8 83
17.1%
9 38
 
7.8%
7 15
 
3.1%
4 15
 
3.1%
2 14
 
2.9%
0 10
 
2.1%
6 9
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 490
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 103
21.0%
3 101
20.6%
5 98
20.0%
8 83
16.9%
9 38
 
7.8%
7 15
 
3.1%
4 15
 
3.1%
2 14
 
2.9%
0 10
 
2.0%
6 9
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 103
21.0%
3 101
20.6%
5 98
20.0%
8 83
16.9%
9 38
 
7.8%
7 15
 
3.1%
4 15
 
3.1%
2 14
 
2.9%
0 10
 
2.0%
6 9
 
1.8%

지번주소
Text

MISSING 

Distinct137
Distinct (%)78.7%
Missing8
Missing (%)4.4%
Memory size1.6 KiB
2024-05-11T16:01:10.510114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length26.373563
Min length14

Characters and Unicode

Total characters4589
Distinct characters161
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)70.7%

Sample

1st row서울특별시 강남구 논현동 **-*
2nd row서울특별시 강남구 삼성동 ***-*번지 한누리빌딩 지하*층
3rd row서울특별시 강남구 역삼동 ***-**번지
4th row서울특별시 강남구 논현동 ***-*번지 한미빌딩 ***호
5th row서울특별시 강남구 대치동 ***번지 ***호
ValueCountFrequency (%)
서울특별시 174
19.9%
강남구 173
19.8%
번지 130
14.9%
47
 
5.4%
논현동 46
 
5.3%
역삼동 39
 
4.5%
층 37
 
4.2%
신사동 28
 
3.2%
호 26
 
3.0%
삼성동 23
 
2.6%
Other values (109) 150
17.2%
2024-05-11T16:01:11.413719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 881
19.2%
825
18.0%
동 185
 
4.0%
남 178
 
3.9%
강 176
 
3.8%
서 176
 
3.8%
구 175
 
3.8%
시 174
 
3.8%
별 174
 
3.8%
특 174
 
3.8%
Other values (151) 1471
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2696
58.7%
Other Punctuation 887
 
19.3%
Space Separator 825
 
18.0%
Dash Punctuation 157
 
3.4%
Uppercase Letter 19
 
0.4%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 185
 
6.9%
남 178
 
6.6%
강 176
 
6.5%
서 176
 
6.5%
구 175
 
6.5%
시 174
 
6.5%
별 174
 
6.5%
특 174
 
6.5%
울 174
 
6.5%
지 145
 
5.4%
Other values (132) 965
35.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
26.3%
S 3
15.8%
E 2
 
10.5%
T 2
 
10.5%
K 2
 
10.5%
A 1
 
5.3%
M 1
 
5.3%
O 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
6 2
40.0%
4 1
20.0%
1 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 881
99.3%
, 5
 
0.6%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
825
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2696
58.7%
Common 1874
40.8%
Latin 19
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 185
 
6.9%
남 178
 
6.6%
강 176
 
6.5%
서 176
 
6.5%
구 175
 
6.5%
시 174
 
6.5%
별 174
 
6.5%
특 174
 
6.5%
울 174
 
6.5%
지 145
 
5.4%
Other values (132) 965
35.8%
Latin
ValueCountFrequency (%)
B 5
26.3%
S 3
15.8%
E 2
 
10.5%
T 2
 
10.5%
K 2
 
10.5%
A 1
 
5.3%
M 1
 
5.3%
O 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
Common
ValueCountFrequency (%)
* 881
47.0%
825
44.0%
- 157
 
8.4%
, 5
 
0.3%
6 2
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2696
58.7%
ASCII 1893
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 881
46.5%
825
43.6%
- 157
 
8.3%
B 5
 
0.3%
, 5
 
0.3%
S 3
 
0.2%
E 2
 
0.1%
T 2
 
0.1%
6 2
 
0.1%
K 2
 
0.1%
Other values (9) 9
 
0.5%
Hangul
ValueCountFrequency (%)
동 185
 
6.9%
남 178
 
6.6%
강 176
 
6.5%
서 176
 
6.5%
구 175
 
6.5%
시 174
 
6.5%
별 174
 
6.5%
특 174
 
6.5%
울 174
 
6.5%
지 145
 
5.4%
Other values (132) 965
35.8%

도로명주소
Text

MISSING 

Distinct169
Distinct (%)94.9%
Missing4
Missing (%)2.2%
Memory size1.6 KiB
2024-05-11T16:01:11.964190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length33.207865
Min length23

Characters and Unicode

Total characters5911
Distinct characters193
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

Unique162 ?
Unique (%)91.0%

Sample

1st row서울특별시 강남구 언주로 *** (논현동)
2nd row서울특별시 강남구 삼성로***길 **, 한누리빌딩 지하*층 (삼성동)
3rd row서울특별시 강남구 강남대로**길 ** (역삼동)
4th row서울특별시 강남구 학동로 ***, ***호 (논현동,한미빌딩)
5th row서울특별시 강남구 남부순환로***길 *, ***호 (대치동)
ValueCountFrequency (%)
185
16.5%
서울특별시 178
15.9%
강남구 177
15.8%
층 68
 
6.1%
호 50
 
4.5%
논현동 42
 
3.7%
역삼동 34
 
3.0%
신사동 21
 
1.9%
삼성동 18
 
1.6%
도산대로**길 16
 
1.4%
Other values (174) 333
29.7%
2024-05-11T16:01:12.710839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
985
16.7%
* 967
 
16.4%
동 218
 
3.7%
남 206
 
3.5%
강 203
 
3.4%
, 186
 
3.1%
구 184
 
3.1%
서 180
 
3.0%
시 179
 
3.0%
로 179
 
3.0%
Other values (183) 2424
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3363
56.9%
Other Punctuation 1154
 
19.5%
Space Separator 985
 
16.7%
Close Punctuation 178
 
3.0%
Open Punctuation 178
 
3.0%
Uppercase Letter 27
 
0.5%
Dash Punctuation 21
 
0.4%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 218
 
6.5%
남 206
 
6.1%
강 203
 
6.0%
구 184
 
5.5%
서 180
 
5.4%
시 179
 
5.3%
로 179
 
5.3%
울 178
 
5.3%
별 178
 
5.3%
특 178
 
5.3%
Other values (160) 1480
44.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
29.6%
S 3
 
11.1%
K 3
 
11.1%
A 3
 
11.1%
E 2
 
7.4%
T 2
 
7.4%
M 1
 
3.7%
O 1
 
3.7%
H 1
 
3.7%
L 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
1 1
20.0%
2 1
20.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 967
83.8%
, 186
 
16.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3363
56.9%
Common 2521
42.6%
Latin 27
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 218
 
6.5%
남 206
 
6.1%
강 203
 
6.0%
구 184
 
5.5%
서 180
 
5.4%
시 179
 
5.3%
로 179
 
5.3%
울 178
 
5.3%
별 178
 
5.3%
특 178
 
5.3%
Other values (160) 1480
44.0%
Latin
ValueCountFrequency (%)
B 8
29.6%
S 3
 
11.1%
K 3
 
11.1%
A 3
 
11.1%
E 2
 
7.4%
T 2
 
7.4%
M 1
 
3.7%
O 1
 
3.7%
H 1
 
3.7%
L 1
 
3.7%
Other values (2) 2
 
7.4%
Common
ValueCountFrequency (%)
985
39.1%
* 967
38.4%
, 186
 
7.4%
) 178
 
7.1%
( 178
 
7.1%
- 21
 
0.8%
4 2
 
0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3363
56.9%
ASCII 2548
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
985
38.7%
* 967
38.0%
, 186
 
7.3%
) 178
 
7.0%
( 178
 
7.0%
- 21
 
0.8%
B 8
 
0.3%
S 3
 
0.1%
K 3
 
0.1%
A 3
 
0.1%
Other values (13) 16
 
0.6%
Hangul
ValueCountFrequency (%)
동 218
 
6.5%
남 206
 
6.1%
강 203
 
6.0%
구 184
 
5.5%
서 180
 
5.4%
시 179
 
5.3%
로 179
 
5.3%
울 178
 
5.3%
별 178
 
5.3%
특 178
 
5.3%
Other values (160) 1480
44.0%

도로명우편번호
Text

MISSING 

Distinct99
Distinct (%)73.9%
Missing48
Missing (%)26.4%
Memory size1.6 KiB
2024-05-11T16:01:13.233277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2761194
Min length5

Characters and Unicode

Total characters707
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

Unique76 ?
Unique (%)56.7%

Sample

1st row06155
2nd row06198
3rd row135911
4th row135891
5th row06097
ValueCountFrequency (%)
135887 4
 
3.0%
06044 4
 
3.0%
06052 4
 
3.0%
06097 3
 
2.2%
06194 3
 
2.2%
06046 3
 
2.2%
06032 3
 
2.2%
06140 3
 
2.2%
06100 3
 
2.2%
135880 2
 
1.5%
Other values (89) 102
76.1%
2024-05-11T16:01:14.043076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
23.5%
6 115
16.3%
1 100
14.1%
3 70
9.9%
5 67
9.5%
2 50
 
7.1%
8 44
 
6.2%
4 37
 
5.2%
9 37
 
5.2%
7 19
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 705
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
23.5%
6 115
16.3%
1 100
14.2%
3 70
9.9%
5 67
9.5%
2 50
 
7.1%
8 44
 
6.2%
4 37
 
5.2%
9 37
 
5.2%
7 19
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 707
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
23.5%
6 115
16.3%
1 100
14.1%
3 70
9.9%
5 67
9.5%
2 50
 
7.1%
8 44
 
6.2%
4 37
 
5.2%
9 37
 
5.2%
7 19
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
23.5%
6 115
16.3%
1 100
14.1%
3 70
9.9%
5 67
9.5%
2 50
 
7.1%
8 44
 
6.2%
4 37
 
5.2%
9 37
 
5.2%
7 19
 
2.7%

사업장명
Text

Distinct181
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T16:01:14.519407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.0824176
Min length2

Characters and Unicode

Total characters1471
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)98.9%

Sample

1st row(주)대한경제신문사
2nd row주식회사 보성인쇄기획
3rd row해항사
4th row광일디엔피플러스
5th row애드캡
ValueCountFrequency (%)
주식회사 18
 
8.1%
주)현컴이앤에스 2
 
0.9%
디자인 2
 
0.9%
디자인생선가게 1
 
0.5%
주)화인브릿지 1
 
0.5%
주)엠엠파트너스 1
 
0.5%
프린트인 1
 
0.5%
주)디지탈명성텍 1
 
0.5%
르베르쏠미디어 1
 
0.5%
크라프츠 1
 
0.5%
Other values (193) 193
86.9%
2024-05-11T16:01:15.230399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 91
 
6.2%
( 77
 
5.2%
) 77
 
5.2%
스 54
 
3.7%
이 48
 
3.3%
인 45
 
3.1%
디 44
 
3.0%
40
 
2.7%
사 27
 
1.8%
자 25
 
1.7%
Other values (251) 943
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1162
79.0%
Open Punctuation 78
 
5.3%
Close Punctuation 78
 
5.3%
Lowercase Letter 74
 
5.0%
Space Separator 40
 
2.7%
Uppercase Letter 28
 
1.9%
Decimal Number 8
 
0.5%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 91
 
7.8%
스 54
 
4.6%
이 48
 
4.1%
인 45
 
3.9%
디 44
 
3.8%
사 27
 
2.3%
자 25
 
2.2%
트 21
 
1.8%
아 19
 
1.6%
니 19
 
1.6%
Other values (210) 769
66.2%
Lowercase Letter
ValueCountFrequency (%)
i 9
12.2%
e 8
10.8%
m 8
10.8%
n 7
9.5%
s 6
8.1%
a 6
8.1%
u 5
6.8%
r 5
6.8%
o 5
6.8%
t 4
 
5.4%
Other values (7) 11
14.9%
Uppercase Letter
ValueCountFrequency (%)
V 4
14.3%
I 4
14.3%
D 3
10.7%
K 3
10.7%
O 3
10.7%
M 3
10.7%
C 2
7.1%
A 2
7.1%
S 1
 
3.6%
B 1
 
3.6%
Other values (2) 2
7.1%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
3 1
 
12.5%
8 1
 
12.5%
4 1
 
12.5%
0 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 77
98.7%
[ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 77
98.7%
] 1
 
1.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1162
79.0%
Common 207
 
14.1%
Latin 102
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 91
 
7.8%
스 54
 
4.6%
이 48
 
4.1%
인 45
 
3.9%
디 44
 
3.8%
사 27
 
2.3%
자 25
 
2.2%
트 21
 
1.8%
아 19
 
1.6%
니 19
 
1.6%
Other values (210) 769
66.2%
Latin
ValueCountFrequency (%)
i 9
 
8.8%
e 8
 
7.8%
m 8
 
7.8%
n 7
 
6.9%
s 6
 
5.9%
a 6
 
5.9%
u 5
 
4.9%
r 5
 
4.9%
o 5
 
4.9%
V 4
 
3.9%
Other values (19) 39
38.2%
Common
ValueCountFrequency (%)
( 77
37.2%
) 77
37.2%
40
19.3%
1 4
 
1.9%
- 2
 
1.0%
3 1
 
0.5%
] 1
 
0.5%
[ 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1162
79.0%
ASCII 309
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 91
 
7.8%
스 54
 
4.6%
이 48
 
4.1%
인 45
 
3.9%
디 44
 
3.8%
사 27
 
2.3%
자 25
 
2.2%
트 21
 
1.8%
아 19
 
1.6%
니 19
 
1.6%
Other values (210) 769
66.2%
ASCII
ValueCountFrequency (%)
( 77
24.9%
) 77
24.9%
40
12.9%
i 9
 
2.9%
e 8
 
2.6%
m 8
 
2.6%
n 7
 
2.3%
s 6
 
1.9%
a 6
 
1.9%
u 5
 
1.6%
Other values (31) 66
21.4%

최종수정일자
Date

Distinct172
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2003-04-12 12:08:07
Maximum2024-04-25 16:34:13
2024-05-11T16:01:15.525503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:15.863735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
147 
U
34 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
I 147
80.8%
U 34
 
18.7%
D 1
 
0.5%

Length

2024-05-11T16:01:16.117283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:16.317191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 147
80.8%
u 34
 
18.7%
d 1
 
0.5%

데이터갱신일자
Date

Distinct70
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T16:01:16.480446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:16.722808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)95.0%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean203333.86
Minimum201646.39
Maximum208937.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T16:01:16.954467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201646.39
5-th percentile201819.91
Q1202379.37
median203019.12
Q3204160.81
95-th percentile205391.8
Maximum208937.76
Range7291.3753
Interquartile range (IQR)1781.4385

Descriptive statistics

Standard deviation1258.4374
Coefficient of variation (CV)0.00618902
Kurtosis1.7823344
Mean203333.86
Median Absolute Deviation (MAD)799.93461
Skewness1.088787
Sum36396762
Variance1583664.6
MonotonicityNot monotonic
2024-05-11T16:01:18.536479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203169.223281406 2
 
1.1%
202494.429240138 2
 
1.1%
205130.591678902 2
 
1.1%
203590.359301127 2
 
1.1%
201650.787158848 2
 
1.1%
202785.298958442 2
 
1.1%
202320.594839169 2
 
1.1%
201908.485426564 2
 
1.1%
204933.423687109 2
 
1.1%
202429.553277511 1
 
0.5%
Other values (160) 160
87.9%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
201646.385389914 1
0.5%
201650.787158848 2
1.1%
201695.800640834 1
0.5%
201748.417339065 1
0.5%
201758.280565925 1
0.5%
201760.731993253 1
0.5%
201761.010891313 1
0.5%
201794.362782142 1
0.5%
201822.746604327 1
0.5%
201827.044356534 1
0.5%
ValueCountFrequency (%)
208937.760652081 1
0.5%
207950.137458581 1
0.5%
206030.984146243 1
0.5%
205996.639125311 1
0.5%
205815.156591566 1
0.5%
205793.331490607 1
0.5%
205671.419505721 1
0.5%
205629.451749442 1
0.5%
205524.026885527 1
0.5%
205377.105092821 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)95.0%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean445152.07
Minimum441357.07
Maximum449199.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T16:01:18.779429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441357.07
5-th percentile442935.93
Q1444309.48
median445431.55
Q3446076.7
95-th percentile446702.47
Maximum449199.39
Range7842.3231
Interquartile range (IQR)1767.2229

Descriptive statistics

Standard deviation1245.0723
Coefficient of variation (CV)0.0027969594
Kurtosis0.34709156
Mean445152.07
Median Absolute Deviation (MAD)816.74514
Skewness-0.50506188
Sum79682221
Variance1550204.9
MonotonicityNot monotonic
2024-05-11T16:01:19.015632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444178.357261909 2
 
1.1%
445871.873786171 2
 
1.1%
445590.096837802 2
 
1.1%
445601.717820891 2
 
1.1%
446226.277738975 2
 
1.1%
445943.8587993 2
 
1.1%
446585.027174677 2
 
1.1%
446248.296497573 2
 
1.1%
445141.77035067 2
 
1.1%
444261.087449333 1
 
0.5%
Other values (160) 160
87.9%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
441357.065052098 1
0.5%
441659.24986844 1
0.5%
442129.125880562 1
0.5%
442289.17334753 1
0.5%
442521.089690459 1
0.5%
442526.253635088 1
0.5%
442531.895 1
0.5%
442703.584823804 1
0.5%
442873.588039887 1
0.5%
442942.853505354 1
0.5%
ValueCountFrequency (%)
449199.388104109 1
0.5%
447136.457137633 1
0.5%
447109.497307684 1
0.5%
446984.125048005 1
0.5%
446847.564070897 1
0.5%
446831.09031898 1
0.5%
446821.503077095 1
0.5%
446803.835447263 1
0.5%
446758.292400103 1
0.5%
446696.265274195 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
인쇄사
153 
<NA>
29 

Length

Max length4
Median length3
Mean length3.1593407
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 153
84.1%
<NA> 29
 
15.9%

Length

2024-05-11T16:01:19.243330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:19.421906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 153
84.1%
na 29
 
15.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
출판인쇄업
153 
<NA>
29 

Length

Max length5
Median length5
Mean length4.8406593
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 153
84.1%
<NA> 29
 
15.9%

Length

2024-05-11T16:01:19.600949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:19.777480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 153
84.1%
na 29
 
15.9%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
162 
0
 
16
1
 
1
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.6758242
Min length1

Unique

Unique4 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
89.0%
0 16
 
8.8%
1 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
16 1
 
0.5%

Length

2024-05-11T16:01:19.956935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:20.186968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
89.0%
0 16
 
8.8%
1 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
16 1
 
0.5%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing178
Missing (%)97.8%
Memory size1.6 KiB
2024-05-11T16:01:20.489858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5.75
Min length2

Characters and Unicode

Total characters23
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row유흥업소밀집지역
2nd row주택가주변
3rd row유흥업소밀집지역
4th row기타
ValueCountFrequency (%)
유흥업소밀집지역 2
50.0%
주택가주변 1
25.0%
기타 1
25.0%
2024-05-11T16:01:20.947711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
8.7%
흥 2
8.7%
업 2
8.7%
소 2
8.7%
밀 2
8.7%
집 2
8.7%
지 2
8.7%
역 2
8.7%
주 2
8.7%
택 1
 
4.3%
Other values (4) 4
17.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
8.7%
흥 2
8.7%
업 2
8.7%
소 2
8.7%
밀 2
8.7%
집 2
8.7%
지 2
8.7%
역 2
8.7%
주 2
8.7%
택 1
 
4.3%
Other values (4) 4
17.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
8.7%
흥 2
8.7%
업 2
8.7%
소 2
8.7%
밀 2
8.7%
집 2
8.7%
지 2
8.7%
역 2
8.7%
주 2
8.7%
택 1
 
4.3%
Other values (4) 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
8.7%
흥 2
8.7%
업 2
8.7%
소 2
8.7%
밀 2
8.7%
집 2
8.7%
지 2
8.7%
역 2
8.7%
주 2
8.7%
택 1
 
4.3%
Other values (4) 4
17.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)28.6%
Missing154
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean36.489643
Minimum0
Maximum324.56
Zeros21
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T16:01:21.137259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.5
95-th percentile153.669
Maximum324.56
Range324.56
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation76.971001
Coefficient of variation (CV)2.1093931
Kurtosis6.48146
Mean36.489643
Median Absolute Deviation (MAD)0
Skewness2.4484658
Sum1021.71
Variance5924.5349
MonotonicityNot monotonic
2024-05-11T16:01:21.315704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 21
 
11.5%
154.46 1
 
0.5%
129.32 1
 
0.5%
324.56 1
 
0.5%
132.0 1
 
0.5%
99.17 1
 
0.5%
30.0 1
 
0.5%
152.2 1
 
0.5%
(Missing) 154
84.6%
ValueCountFrequency (%)
0.0 21
11.5%
30.0 1
 
0.5%
99.17 1
 
0.5%
129.32 1
 
0.5%
132.0 1
 
0.5%
152.2 1
 
0.5%
154.46 1
 
0.5%
324.56 1
 
0.5%
ValueCountFrequency (%)
324.56 1
 
0.5%
154.46 1
 
0.5%
152.2 1
 
0.5%
132.0 1
 
0.5%
129.32 1
 
0.5%
99.17 1
 
0.5%
30.0 1
 
0.5%
0.0 21
11.5%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
164 
0
 
15
5
 
1
14
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7087912
Min length1

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
90.1%
0 15
 
8.2%
5 1
 
0.5%
14 1
 
0.5%
3 1
 
0.5%

Length

2024-05-11T16:01:21.540128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:21.724380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
90.1%
0 15
 
8.2%
5 1
 
0.5%
14 1
 
0.5%
3 1
 
0.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
164 
0
 
16
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7032967
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
90.1%
0 16
 
8.8%
1 1
 
0.5%
2 1
 
0.5%

Length

2024-05-11T16:01:21.913412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:22.105178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
90.1%
0 16
 
8.8%
1 1
 
0.5%
2 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
177 
근린생활시설
 
5

Length

Max length6
Median length4
Mean length4.0549451
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
97.3%
근린생활시설 5
 
2.7%

Length

2024-05-11T16:01:22.320009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:22.528505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
97.3%
근린생활시설 5
 
2.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
6

Length

Max length4
Median length4
Mean length3.9010989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
96.7%
0 6
 
3.3%

Length

2024-05-11T16:01:22.730350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:22.868136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
96.7%
0 6
 
3.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
6

Length

Max length4
Median length4
Mean length3.9010989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
96.7%
0 6
 
3.3%

Length

2024-05-11T16:01:23.032165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:23.208030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
96.7%
0 6
 
3.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
6

Length

Max length4
Median length4
Mean length3.9010989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
96.7%
0 6
 
3.3%

Length

2024-05-11T16:01:23.406739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:23.566894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
96.7%
0 6
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
6

Length

Max length4
Median length4
Mean length3.9010989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
96.7%
0 6
 
3.3%

Length

2024-05-11T16:01:23.752991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:23.939007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
96.7%
0 6
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
0
 
6

Length

Max length4
Median length4
Mean length3.9010989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
96.7%
0 6
 
3.3%

Length

2024-05-11T16:01:24.119563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:24.320354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
96.7%
0 6
 
3.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing177
Missing (%)97.3%
Memory size1.6 KiB
2024-05-11T16:01:24.507560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters25
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row일반상업지역
2nd row근린상업지역
3rd row상업지역
4th row상업지역
5th row준공업지역
ValueCountFrequency (%)
상업지역 2
40.0%
일반상업지역 1
20.0%
근린상업지역 1
20.0%
준공업지역 1
20.0%
2024-05-11T16:01:25.076236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 5
20.0%
지 5
20.0%
역 5
20.0%
상 4
16.0%
일 1
 
4.0%
반 1
 
4.0%
근 1
 
4.0%
린 1
 
4.0%
준 1
 
4.0%
공 1
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5
20.0%
지 5
20.0%
역 5
20.0%
상 4
16.0%
일 1
 
4.0%
반 1
 
4.0%
근 1
 
4.0%
린 1
 
4.0%
준 1
 
4.0%
공 1
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5
20.0%
지 5
20.0%
역 5
20.0%
상 4
16.0%
일 1
 
4.0%
반 1
 
4.0%
근 1
 
4.0%
린 1
 
4.0%
준 1
 
4.0%
공 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 5
20.0%
지 5
20.0%
역 5
20.0%
상 4
16.0%
일 1
 
4.0%
반 1
 
4.0%
근 1
 
4.0%
린 1
 
4.0%
준 1
 
4.0%
공 1
 
4.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFG12520019880000021988-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3485-8411<NA>135-995서울특별시 강남구 논현동 **-*서울특별시 강남구 언주로 *** (논현동)<NA>(주)대한경제신문사2023-11-21 11:35:30U2022-10-31 22:03:00.0<NA>202946.808393446125.174368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFG125200199100000119910103<NA>1영업/정상13영업중<NA><NA><NA><NA>02-566-8020<NA><NA>서울특별시 강남구 삼성동 ***-*번지 한누리빌딩 지하*층서울특별시 강남구 삼성로***길 **, 한누리빌딩 지하*층 (삼성동)06155주식회사 보성인쇄기획2018-04-23 17:51:26I2018-08-31 23:59:59.0<NA>204488.605798445396.762504인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFG125200199900000219990525<NA>3폐업3폐업20000330<NA><NA><NA>393-0836<NA>135935서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 강남대로**길 ** (역삼동)<NA>해항사2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>202785.517731443725.948493인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFG125200199900000319990715<NA>1영업/정상13영업중<NA><NA><NA><NA>517-5555<NA>135821서울특별시 강남구 논현동 ***-*번지 한미빌딩 ***호서울특별시 강남구 학동로 ***, ***호 (논현동,한미빌딩)<NA>광일디엔피플러스2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>203324.410711446037.739006인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFG125200199900000419991203<NA>1영업/정상13영업중<NA><NA><NA><NA>02-586-1690<NA>135838서울특별시 강남구 대치동 ***번지 ***호서울특별시 강남구 남부순환로***길 *, ***호 (대치동)<NA>애드캡2007-03-23 17:57:05I2018-08-31 23:59:59.0<NA>205255.088433443524.599882인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFG125200200000000120000506<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135867서울특별시 강남구 삼성동 **-**번지 청림빌딩 ***호서울특별시 강남구 봉은사로 *** (삼성동,청림빌딩 ***호)<NA>다니기획2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>203961.288934445431.551362인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFG125200200100000120010103<NA>1영업/정상13영업중<NA><NA><NA><NA>512-6045<NA>135814서울특별시 강남구 논현동 **-*번지 효진빌딩 *층서울특별시 강남구 학동로*길 * (논현동,효진빌딩 *층)<NA>(주)비엘씨컨설팅2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>201986.565431445542.51556인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFG125200200100000420010201<NA>3폐업3폐업20200518<NA><NA><NA>545-6188<NA>135816서울특별시 강남구 논현동 **-**번지서울특별시 강남구 언주로 *** (논현동)<NA>(주)협동문고2020-05-18 14:10:47U2020-05-20 02:40:00.0<NA>202908.172498446506.036611인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFG125200200100000520010206<NA>1영업/정상13영업중<NA><NA><NA><NA>508-7440<NA>135924서울특별시 강남구 역삼동 ***번지 제우빌딩 *층서울특별시 강남구 테헤란로**길 ** (역삼동,제우빌딩 *층)<NA>프린트캠프2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>203019.118986443994.040924인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFG125200200100000620010330<NA>1영업/정상13영업중<NA><NA><NA><NA>557-5730<NA>135928서울특별시 강남구 역삼동 ***-*번지서울특별시 강남구 언주로**길 ** (역삼동)<NA>(주)가나프린테크2003-04-12 12:08:07I2018-08-31 23:59:59.0<NA>203708.465544443820.166147인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1723220000CDFG125200202200000720220602<NA>1영업/정상13영업중<NA><NA><NA><NA>02-564-0269<NA><NA>서울특별시 강남구 도곡동 ***-**서울특별시 강남구 남부순환로***길 *, *층 (도곡동)06296정아트앤컴퍼니(주)2022-06-02 13:12:39I2021-12-06 00:08:00.0<NA>203693.04442531.895<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1733220000CDFG12520020220000082022-08-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 테헤란로*길 **-**, *층 ****호 (역삼동)06129비비엠글로벌2023-08-28 11:04:40U2022-12-07 21:00:00.0<NA>202429.553278444261.087449<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1743220000CDFG125200202200000920221122<NA>1영업/정상13영업중<NA><NA><NA><NA>07041969909<NA><NA>서울특별시 강남구 신사동 ***-*서울특별시 강남구 도산대로**길 **, ***호 (신사동)06032애드자인2022-11-22 16:42:08I2021-10-31 22:04:00.0<NA>202341.941307446593.754138<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1753220000CDFG12520020230000012023-01-09<NA>5제외/삭제/전출15전출2023-01-11<NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 *** 삼성아파트서울특별시 강남구 광평로**길 **, ***동 ***호 (수서동, 삼성아파트)06354범고래출판사(ORCA BOOKS)2023-03-09 15:49:34D2022-12-02 23:01:00.0<NA>207950.137459442526.253635<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763220000CDFG125200202300000220230119<NA>1영업/정상13영업중<NA><NA><NA><NA>025168472<NA><NA>서울특별시 강남구 논현동 ***-**서울특별시 강남구 학동로**길 **-** (논현동)06101주식회사 크리어스2023-01-19 15:01:26I2022-11-30 22:01:00.0<NA>203266.059874445510.835845<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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