Overview

Dataset statistics

Number of variables56
Number of observations1728
Missing cells48316
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory815.2 KiB
Average record size in memory483.1 B

Variable types

Categorical17
Text8
DateTime4
Unsupported22
Numeric5

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17889/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
데이터갱신구분 is highly imbalanced (52.9%)Imbalance
주변환경명 is highly imbalanced (97.3%)Imbalance
지하층수 is highly imbalanced (80.9%)Imbalance
건물용도명 is highly imbalanced (87.0%)Imbalance
통로너비 is highly imbalanced (79.9%)Imbalance
조명시설조도 is highly imbalanced (79.9%)Imbalance
노래방실수 is highly imbalanced (79.9%)Imbalance
청소년실수 is highly imbalanced (79.9%)Imbalance
총게임기수 is highly imbalanced (79.9%)Imbalance
지역구분명 is highly imbalanced (95.4%)Imbalance
인허가취소일자 has 1728 (100.0%) missing valuesMissing
폐업일자 has 1172 (67.8%) missing valuesMissing
휴업시작일자 has 1728 (100.0%) missing valuesMissing
휴업종료일자 has 1728 (100.0%) missing valuesMissing
재개업일자 has 1728 (100.0%) missing valuesMissing
전화번호 has 943 (54.6%) missing valuesMissing
소재지면적 has 1728 (100.0%) missing valuesMissing
소재지우편번호 has 824 (47.7%) missing valuesMissing
도로명주소 has 116 (6.7%) missing valuesMissing
도로명우편번호 has 701 (40.6%) missing valuesMissing
업태구분명 has 1728 (100.0%) missing valuesMissing
좌표정보(X) has 48 (2.8%) missing valuesMissing
좌표정보(Y) has 48 (2.8%) missing valuesMissing
총층수 has 1604 (92.8%) missing valuesMissing
제작취급품목내용 has 1727 (99.9%) missing valuesMissing
시설면적 has 1515 (87.7%) missing valuesMissing
지상층수 has 1602 (92.7%) missing valuesMissing
비상계단여부 has 1728 (100.0%) missing valuesMissing
비상구여부 has 1728 (100.0%) missing valuesMissing
자동환기여부 has 1728 (100.0%) missing valuesMissing
청소년실여부 has 1728 (100.0%) missing valuesMissing
특수조명여부 has 1728 (100.0%) missing valuesMissing
방음시설여부 has 1728 (100.0%) missing valuesMissing
비디오재생기명 has 1728 (100.0%) missing valuesMissing
조명시설유무 has 1728 (100.0%) missing valuesMissing
음향시설여부 has 1728 (100.0%) missing valuesMissing
편의시설여부 has 1728 (100.0%) missing valuesMissing
소방시설여부 has 1728 (100.0%) missing valuesMissing
기존게임업외업종명 has 1728 (100.0%) missing valuesMissing
제공게임물명 has 1728 (100.0%) missing valuesMissing
공연장형태구분명 has 1728 (100.0%) missing valuesMissing
품목명 has 1728 (100.0%) missing valuesMissing
최초등록시점 has 1728 (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
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
총층수 has 109 (6.3%) zerosZeros
시설면적 has 166 (9.6%) zerosZeros
지상층수 has 109 (6.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:08:39.491060
Analysis finished2024-05-11 06:08:42.348929
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
3120000
1728 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 1728
100.0%

Length

2024-05-11T15:08:42.452228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:42.610720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 1728
100.0%

관리번호
Text

UNIQUE 

Distinct1728
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-11T15:08:42.896342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters34560
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

Unique1728 ?
Unique (%)100.0%

Sample

1st rowCDFG1251001900000001
2nd rowCDFG1251001954000001
3rd rowCDFG1251001955000001
4th rowCDFG1251001963000002
5th rowCDFG1251001963000003
ValueCountFrequency (%)
cdfg1251001900000001 1
 
0.1%
cdfg1251002018000061 1
 
0.1%
cdfg1251002018000077 1
 
0.1%
cdfg1251002018000075 1
 
0.1%
cdfg1251002018000071 1
 
0.1%
cdfg1251002018000070 1
 
0.1%
cdfg1251002018000069 1
 
0.1%
cdfg1251002018000068 1
 
0.1%
cdfg1251002018000067 1
 
0.1%
cdfg1251002018000066 1
 
0.1%
Other values (1718) 1718
99.4%
2024-05-11T15:08:43.574867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12845
37.2%
1 5079
 
14.7%
2 4321
 
12.5%
5 2181
 
6.3%
C 1728
 
5.0%
D 1728
 
5.0%
F 1728
 
5.0%
G 1728
 
5.0%
9 781
 
2.3%
3 543
 
1.6%
Other values (4) 1898
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27648
80.0%
Uppercase Letter 6912
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12845
46.5%
1 5079
 
18.4%
2 4321
 
15.6%
5 2181
 
7.9%
9 781
 
2.8%
3 543
 
2.0%
4 495
 
1.8%
6 488
 
1.8%
8 477
 
1.7%
7 438
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
C 1728
25.0%
D 1728
25.0%
F 1728
25.0%
G 1728
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27648
80.0%
Latin 6912
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12845
46.5%
1 5079
 
18.4%
2 4321
 
15.6%
5 2181
 
7.9%
9 781
 
2.8%
3 543
 
2.0%
4 495
 
1.8%
6 488
 
1.8%
8 477
 
1.7%
7 438
 
1.6%
Latin
ValueCountFrequency (%)
C 1728
25.0%
D 1728
25.0%
F 1728
25.0%
G 1728
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12845
37.2%
1 5079
 
14.7%
2 4321
 
12.5%
5 2181
 
6.3%
C 1728
 
5.0%
D 1728
 
5.0%
F 1728
 
5.0%
G 1728
 
5.0%
9 781
 
2.3%
3 543
 
1.6%
Other values (4) 1898
 
5.5%
Distinct1468
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum1900-06-29 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T15:08:43.857033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:44.138872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
1
1167 
3
473 
5
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row5

Common Values

ValueCountFrequency (%)
1 1167
67.5%
3 473
27.4%
5 88
 
5.1%

Length

2024-05-11T15:08:44.375044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:44.581362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1167
67.5%
3 473
27.4%
5 88
 
5.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
영업/정상
1167 
폐업
473 
제외/삭제/전출
 
88

Length

Max length8
Median length5
Mean length4.3315972
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row제외/삭제/전출

Common Values

ValueCountFrequency (%)
영업/정상 1167
67.5%
폐업 473
27.4%
제외/삭제/전출 88
 
5.1%

Length

2024-05-11T15:08:44.784713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:44.977433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1167
67.5%
폐업 473
27.4%
제외/삭제/전출 88
 
5.1%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
13
1166 
03
473 
15
 
88
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0011574
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row15

Common Values

ValueCountFrequency (%)
13 1166
67.5%
03 473
27.4%
15 88
 
5.1%
BBBB 1
 
0.1%

Length

2024-05-11T15:08:45.180294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:45.388615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1166
67.5%
03 473
27.4%
15 88
 
5.1%
bbbb 1
 
0.1%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
영업중
1166 
폐업
473 
전출
 
88
<NA>
 
1

Length

Max length4
Median length3
Mean length2.6759259
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1166
67.5%
폐업 473
27.4%
전출 88
 
5.1%
<NA> 1
 
0.1%

Length

2024-05-11T15:08:45.647240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:45.846099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1166
67.5%
폐업 473
27.4%
전출 88
 
5.1%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct476
Distinct (%)85.6%
Missing1172
Missing (%)67.8%
Memory size13.6 KiB
Minimum1997-10-28 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:08:46.036638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:46.221324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

전화번호
Text

MISSING 

Distinct743
Distinct (%)94.6%
Missing943
Missing (%)54.6%
Memory size13.6 KiB
2024-05-11T15:08:46.585276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.5694268
Min length1

Characters and Unicode

Total characters7512
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique710 ?
Unique (%)90.4%

Sample

1st row363-8300
2nd row362-6076
3rd row361-3381
4th row738-0393
5th row392-2334
ValueCountFrequency (%)
6375-1849 5
 
0.6%
02-325-0384 4
 
0.5%
1600-2591 4
 
0.5%
02-6375-1849 3
 
0.4%
312-2742 3
 
0.4%
02-332-4141 2
 
0.3%
02-363-4881 2
 
0.3%
396-8523 2
 
0.3%
02-2297-2178 2
 
0.3%
02-364-8491 2
 
0.3%
Other values (736) 760
96.3%
2024-05-11T15:08:47.266768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1102
14.7%
- 1067
14.2%
2 934
12.4%
0 920
12.2%
7 603
8.0%
1 560
7.5%
6 520
6.9%
5 484
6.4%
4 475
6.3%
8 423
 
5.6%
Other values (5) 424
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6433
85.6%
Dash Punctuation 1067
 
14.2%
Close Punctuation 6
 
0.1%
Space Separator 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1102
17.1%
2 934
14.5%
0 920
14.3%
7 603
9.4%
1 560
8.7%
6 520
8.1%
5 484
7.5%
4 475
7.4%
8 423
 
6.6%
9 412
 
6.4%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
= 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1067
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1102
14.7%
- 1067
14.2%
2 934
12.4%
0 920
12.2%
7 603
8.0%
1 560
7.5%
6 520
6.9%
5 484
6.4%
4 475
6.3%
8 423
 
5.6%
Other values (5) 424
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1102
14.7%
- 1067
14.2%
2 934
12.4%
0 920
12.2%
7 603
8.0%
1 560
7.5%
6 520
6.9%
5 484
6.4%
4 475
6.3%
8 423
 
5.6%
Other values (5) 424
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

소재지우편번호
Text

MISSING 

Distinct139
Distinct (%)15.4%
Missing824
Missing (%)47.7%
Memory size13.6 KiB
2024-05-11T15:08:47.712102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0243363
Min length6

Characters and Unicode

Total characters5446
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

Unique43 ?
Unique (%)4.8%

Sample

1st row120838
2nd row120808
3rd row120-140
4th row120834
5th row120160
ValueCountFrequency (%)
120012 77
 
8.5%
120848 31
 
3.4%
120110 30
 
3.3%
120030 29
 
3.2%
120808 26
 
2.9%
120160 23
 
2.5%
120836 22
 
2.4%
120100 22
 
2.4%
120829 20
 
2.2%
120050 19
 
2.1%
Other values (129) 605
66.9%
2024-05-11T15:08:48.310525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1458
26.8%
1 1301
23.9%
2 1146
21.0%
8 630
11.6%
3 215
 
3.9%
4 172
 
3.2%
7 148
 
2.7%
6 140
 
2.6%
5 134
 
2.5%
9 80
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5424
99.6%
Dash Punctuation 22
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1458
26.9%
1 1301
24.0%
2 1146
21.1%
8 630
11.6%
3 215
 
4.0%
4 172
 
3.2%
7 148
 
2.7%
6 140
 
2.6%
5 134
 
2.5%
9 80
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5446
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1458
26.8%
1 1301
23.9%
2 1146
21.0%
8 630
11.6%
3 215
 
3.9%
4 172
 
3.2%
7 148
 
2.7%
6 140
 
2.6%
5 134
 
2.5%
9 80
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1458
26.8%
1 1301
23.9%
2 1146
21.0%
8 630
11.6%
3 215
 
3.9%
4 172
 
3.2%
7 148
 
2.7%
6 140
 
2.6%
5 134
 
2.5%
9 80
 
1.5%
Distinct970
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-11T15:08:48.751040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length27.190394
Min length14

Characters and Unicode

Total characters46985
Distinct characters345
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique746 ?
Unique (%)43.2%

Sample

1st row서울특별시 서대문구 충정로*가 ***-*번지
2nd row서울특별시 서대문구 대현동 **-*
3rd row서울특별시 서대문구 신촌동 ***-* 연세대학교내
4th row서울특별시 서대문구 창천동 **-**번지
5th row서울특별시 서대문구 대신동 ***-*
ValueCountFrequency (%)
서울특별시 1728
20.2%
서대문구 1726
20.2%
번지 1129
13.2%
582
 
6.8%
410
 
4.8%
연희동 321
 
3.8%
홍은동 244
 
2.9%
196
 
2.3%
홍제동 186
 
2.2%
충정로*가 182
 
2.1%
Other values (556) 1840
21.5%
2024-05-11T15:08:49.468495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8936
19.0%
7869
16.7%
3477
 
7.4%
1958
 
4.2%
1759
 
3.7%
1756
 
3.7%
1744
 
3.7%
1743
 
3.7%
1738
 
3.7%
1730
 
3.7%
Other values (335) 14275
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28544
60.8%
Other Punctuation 8955
 
19.1%
Space Separator 7869
 
16.7%
Dash Punctuation 1299
 
2.8%
Uppercase Letter 175
 
0.4%
Decimal Number 50
 
0.1%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Lowercase Letter 15
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3477
 
12.2%
1958
 
6.9%
1759
 
6.2%
1756
 
6.2%
1744
 
6.1%
1743
 
6.1%
1738
 
6.1%
1730
 
6.1%
1728
 
6.1%
1205
 
4.2%
Other values (297) 9706
34.0%
Uppercase Letter
ValueCountFrequency (%)
D 35
20.0%
M 31
17.7%
C 30
17.1%
B 28
16.0%
A 17
9.7%
K 10
 
5.7%
S 10
 
5.7%
I 4
 
2.3%
Z 2
 
1.1%
G 2
 
1.1%
Other values (5) 6
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 15
30.0%
4 7
14.0%
3 6
 
12.0%
0 5
 
10.0%
2 5
 
10.0%
5 4
 
8.0%
7 3
 
6.0%
9 2
 
4.0%
8 2
 
4.0%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 8936
99.8%
, 14
 
0.2%
/ 4
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 11
73.3%
b 2
 
13.3%
w 1
 
6.7%
s 1
 
6.7%
Space Separator
ValueCountFrequency (%)
7869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1299
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28544
60.8%
Common 18251
38.8%
Latin 190
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3477
 
12.2%
1958
 
6.9%
1759
 
6.2%
1756
 
6.2%
1744
 
6.1%
1743
 
6.1%
1738
 
6.1%
1730
 
6.1%
1728
 
6.1%
1205
 
4.2%
Other values (297) 9706
34.0%
Common
ValueCountFrequency (%)
* 8936
49.0%
7869
43.1%
- 1299
 
7.1%
( 38
 
0.2%
) 38
 
0.2%
1 15
 
0.1%
, 14
 
0.1%
4 7
 
< 0.1%
3 6
 
< 0.1%
0 5
 
< 0.1%
Other values (9) 24
 
0.1%
Latin
ValueCountFrequency (%)
D 35
18.4%
M 31
16.3%
C 30
15.8%
B 28
14.7%
A 17
8.9%
e 11
 
5.8%
K 10
 
5.3%
S 10
 
5.3%
I 4
 
2.1%
Z 2
 
1.1%
Other values (9) 12
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28544
60.8%
ASCII 18441
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8936
48.5%
7869
42.7%
- 1299
 
7.0%
( 38
 
0.2%
) 38
 
0.2%
D 35
 
0.2%
M 31
 
0.2%
C 30
 
0.2%
B 28
 
0.2%
A 17
 
0.1%
Other values (28) 120
 
0.7%
Hangul
ValueCountFrequency (%)
3477
 
12.2%
1958
 
6.9%
1759
 
6.2%
1756
 
6.2%
1744
 
6.1%
1743
 
6.1%
1738
 
6.1%
1730
 
6.1%
1728
 
6.1%
1205
 
4.2%
Other values (297) 9706
34.0%

도로명주소
Text

MISSING 

Distinct1257
Distinct (%)78.0%
Missing116
Missing (%)6.7%
Memory size13.6 KiB
2024-05-11T15:08:49.854415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length35.046526
Min length23

Characters and Unicode

Total characters56495
Distinct characters376
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1061 ?
Unique (%)65.8%

Sample

1st row서울특별시 서대문구 충정로*길 **-* (충정로*가)
2nd row서울특별시 서대문구 이화여대길 ** (대현동)
3rd row서울특별시 서대문구 연세로 ** (신촌동,연세대학교내)
4th row서울특별시 서대문구 연세로*길 ** (창천동)
5th row서울특별시 서대문구 통일로 ***-* (미근동,계명빌딩 *층)
ValueCountFrequency (%)
1625
15.9%
서울특별시 1612
15.8%
서대문구 1610
15.8%
780
 
7.6%
338
 
3.3%
연희동 253
 
2.5%
235
 
2.3%
홍은동 191
 
1.9%
창천동 146
 
1.4%
홍제동 143
 
1.4%
Other values (831) 3286
32.2%
2024-05-11T15:08:50.570236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9213
16.3%
9085
 
16.1%
3303
 
5.8%
1977
 
3.5%
1800
 
3.2%
1770
 
3.1%
, 1697
 
3.0%
1655
 
2.9%
( 1637
 
2.9%
) 1637
 
2.9%
Other values (366) 22721
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32500
57.5%
Other Punctuation 10916
 
19.3%
Space Separator 9085
 
16.1%
Open Punctuation 1637
 
2.9%
Close Punctuation 1637
 
2.9%
Dash Punctuation 407
 
0.7%
Uppercase Letter 235
 
0.4%
Decimal Number 52
 
0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3303
 
10.2%
1977
 
6.1%
1800
 
5.5%
1770
 
5.4%
1655
 
5.1%
1634
 
5.0%
1622
 
5.0%
1614
 
5.0%
1612
 
5.0%
1600
 
4.9%
Other values (325) 13913
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 49
20.9%
D 44
18.7%
C 42
17.9%
M 41
17.4%
A 21
8.9%
S 11
 
4.7%
K 11
 
4.7%
I 4
 
1.7%
Z 2
 
0.9%
G 2
 
0.9%
Other values (7) 8
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 11
21.2%
2 8
15.4%
5 7
13.5%
0 6
11.5%
3 6
11.5%
9 3
 
5.8%
6 3
 
5.8%
8 3
 
5.8%
7 3
 
5.8%
4 2
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
62.5%
s 3
 
12.5%
b 3
 
12.5%
k 2
 
8.3%
w 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 9213
84.4%
, 1697
 
15.5%
/ 4
 
< 0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
9085
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1637
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1637
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 407
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32500
57.5%
Common 23736
42.0%
Latin 259
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3303
 
10.2%
1977
 
6.1%
1800
 
5.5%
1770
 
5.4%
1655
 
5.1%
1634
 
5.0%
1622
 
5.0%
1614
 
5.0%
1612
 
5.0%
1600
 
4.9%
Other values (325) 13913
42.8%
Latin
ValueCountFrequency (%)
B 49
18.9%
D 44
17.0%
C 42
16.2%
M 41
15.8%
A 21
8.1%
e 15
 
5.8%
S 11
 
4.2%
K 11
 
4.2%
I 4
 
1.5%
s 3
 
1.2%
Other values (12) 18
 
6.9%
Common
ValueCountFrequency (%)
* 9213
38.8%
9085
38.3%
, 1697
 
7.1%
( 1637
 
6.9%
) 1637
 
6.9%
- 407
 
1.7%
1 11
 
< 0.1%
2 8
 
< 0.1%
5 7
 
< 0.1%
0 6
 
< 0.1%
Other values (9) 28
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32499
57.5%
ASCII 23995
42.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9213
38.4%
9085
37.9%
, 1697
 
7.1%
( 1637
 
6.8%
) 1637
 
6.8%
- 407
 
1.7%
B 49
 
0.2%
D 44
 
0.2%
C 42
 
0.2%
M 41
 
0.2%
Other values (31) 143
 
0.6%
Hangul
ValueCountFrequency (%)
3303
 
10.2%
1977
 
6.1%
1800
 
5.5%
1770
 
5.4%
1655
 
5.1%
1634
 
5.0%
1622
 
5.0%
1614
 
5.0%
1612
 
5.0%
1600
 
4.9%
Other values (324) 13912
42.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct251
Distinct (%)24.4%
Missing701
Missing (%)40.6%
Memory size13.6 KiB
2024-05-11T15:08:51.076700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2044791
Min length5

Characters and Unicode

Total characters5345
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

Unique74 ?
Unique (%)7.2%

Sample

1st row03629
2nd row03736
3rd row120841
4th row120866
5th row07261
ValueCountFrequency (%)
03785 65
 
6.3%
03721 20
 
1.9%
03709 16
 
1.6%
03736 15
 
1.5%
03695 15
 
1.5%
03715 14
 
1.4%
03766 14
 
1.4%
03659 12
 
1.2%
03723 12
 
1.2%
120012 12
 
1.2%
Other values (241) 832
81.0%
2024-05-11T15:08:51.790212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1314
24.6%
3 1027
19.2%
7 676
12.6%
6 516
 
9.7%
1 475
 
8.9%
2 419
 
7.8%
8 340
 
6.4%
5 245
 
4.6%
4 179
 
3.3%
9 149
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5340
99.9%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1314
24.6%
3 1027
19.2%
7 676
12.7%
6 516
 
9.7%
1 475
 
8.9%
2 419
 
7.8%
8 340
 
6.4%
5 245
 
4.6%
4 179
 
3.4%
9 149
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1314
24.6%
3 1027
19.2%
7 676
12.6%
6 516
 
9.7%
1 475
 
8.9%
2 419
 
7.8%
8 340
 
6.4%
5 245
 
4.6%
4 179
 
3.3%
9 149
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1314
24.6%
3 1027
19.2%
7 676
12.6%
6 516
 
9.7%
1 475
 
8.9%
2 419
 
7.8%
8 340
 
6.4%
5 245
 
4.6%
4 179
 
3.3%
9 149
 
2.8%
Distinct1707
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-05-11T15:08:52.280806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length7.1140046
Min length1

Characters and Unicode

Total characters12293
Distinct characters742
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1687 ?
Unique (%)97.6%

Sample

1st row주식회사 배문교재사
2nd row이화여자대학교출판문화원
3rd row연세대학교 출판문화원
4th row창조사
5th row신생사
ValueCountFrequency (%)
도서출판 208
 
8.7%
주식회사 69
 
2.9%
출판사 22
 
0.9%
북스 10
 
0.4%
사단법인 9
 
0.4%
books 8
 
0.3%
8
 
0.3%
press 8
 
0.3%
컴퍼니 5
 
0.2%
유한회사 5
 
0.2%
Other values (1930) 2029
85.2%
2024-05-11T15:08:53.082973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
653
 
5.3%
372
 
3.0%
371
 
3.0%
327
 
2.7%
303
 
2.5%
279
 
2.3%
) 273
 
2.2%
( 272
 
2.2%
270
 
2.2%
247
 
2.0%
Other values (732) 8926
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9304
75.7%
Lowercase Letter 971
 
7.9%
Uppercase Letter 715
 
5.8%
Space Separator 653
 
5.3%
Close Punctuation 276
 
2.2%
Open Punctuation 275
 
2.2%
Decimal Number 58
 
0.5%
Other Punctuation 33
 
0.3%
Dash Punctuation 5
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
372
 
4.0%
371
 
4.0%
327
 
3.5%
303
 
3.3%
279
 
3.0%
270
 
2.9%
247
 
2.7%
233
 
2.5%
161
 
1.7%
146
 
1.6%
Other values (659) 6595
70.9%
Lowercase Letter
ValueCountFrequency (%)
e 99
 
10.2%
o 93
 
9.6%
i 86
 
8.9%
s 85
 
8.8%
a 79
 
8.1%
n 66
 
6.8%
r 61
 
6.3%
l 53
 
5.5%
t 47
 
4.8%
u 45
 
4.6%
Other values (16) 257
26.5%
Uppercase Letter
ValueCountFrequency (%)
A 58
 
8.1%
I 57
 
8.0%
S 55
 
7.7%
O 46
 
6.4%
P 45
 
6.3%
T 41
 
5.7%
E 41
 
5.7%
M 40
 
5.6%
B 36
 
5.0%
N 35
 
4.9%
Other values (15) 261
36.5%
Decimal Number
ValueCountFrequency (%)
1 13
22.4%
2 12
20.7%
3 12
20.7%
5 6
10.3%
0 6
10.3%
4 3
 
5.2%
9 3
 
5.2%
6 2
 
3.4%
8 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 21
63.6%
& 5
 
15.2%
' 4
 
12.1%
, 2
 
6.1%
: 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 273
98.9%
] 3
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 272
98.9%
[ 3
 
1.1%
Space Separator
ValueCountFrequency (%)
653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9272
75.4%
Latin 1686
 
13.7%
Common 1303
 
10.6%
Han 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
372
 
4.0%
371
 
4.0%
327
 
3.5%
303
 
3.3%
279
 
3.0%
270
 
2.9%
247
 
2.7%
233
 
2.5%
161
 
1.7%
146
 
1.6%
Other values (630) 6563
70.8%
Latin
ValueCountFrequency (%)
e 99
 
5.9%
o 93
 
5.5%
i 86
 
5.1%
s 85
 
5.0%
a 79
 
4.7%
n 66
 
3.9%
r 61
 
3.6%
A 58
 
3.4%
I 57
 
3.4%
S 55
 
3.3%
Other values (41) 947
56.2%
Han
ValueCountFrequency (%)
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (19) 19
59.4%
Common
ValueCountFrequency (%)
653
50.1%
) 273
21.0%
( 272
20.9%
. 21
 
1.6%
1 13
 
1.0%
2 12
 
0.9%
3 12
 
0.9%
5 6
 
0.5%
0 6
 
0.5%
& 5
 
0.4%
Other values (12) 30
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9271
75.4%
ASCII 2988
 
24.3%
CJK 32
 
0.3%
Arrows 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
653
21.9%
) 273
 
9.1%
( 272
 
9.1%
e 99
 
3.3%
o 93
 
3.1%
i 86
 
2.9%
s 85
 
2.8%
a 79
 
2.6%
n 66
 
2.2%
r 61
 
2.0%
Other values (62) 1221
40.9%
Hangul
ValueCountFrequency (%)
372
 
4.0%
371
 
4.0%
327
 
3.5%
303
 
3.3%
279
 
3.0%
270
 
2.9%
247
 
2.7%
233
 
2.5%
161
 
1.7%
146
 
1.6%
Other values (629) 6562
70.8%
CJK
ValueCountFrequency (%)
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (19) 19
59.4%
Arrows
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct1629
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2003-02-07 11:07:55
Maximum2024-05-09 14:51:39
2024-05-11T15:08:53.267133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:53.447061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
I
1366 
U
361 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 1366
79.1%
U 361
 
20.9%
D 1
 
0.1%

Length

2024-05-11T15:08:53.603501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:53.723057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1366
79.1%
u 361
 
20.9%
d 1
 
0.1%
Distinct529
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:08:53.858621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:54.036142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1021
Distinct (%)60.8%
Missing48
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean194595.57
Minimum190619.02
Maximum197170.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T15:08:54.229192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190619.02
5-th percentile192214.07
Q1193650.5
median194374.94
Q3195605.21
95-th percentile196861.23
Maximum197170.64
Range6551.6208
Interquartile range (IQR)1954.7063

Descriptive statistics

Standard deviation1401.6215
Coefficient of variation (CV)0.0072027412
Kurtosis-0.75256501
Mean194595.57
Median Absolute Deviation (MAD)923.9138
Skewness0.017942571
Sum3.2692056 × 108
Variance1964542.9
MonotonicityNot monotonic
2024-05-11T15:08:54.428609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193712.476983727 45
 
2.6%
196892.09236853 17
 
1.0%
196801.661639204 13
 
0.8%
195694.979414141 13
 
0.8%
194584.959249312 12
 
0.7%
196259.480927405 12
 
0.7%
196934.602353655 12
 
0.7%
192028.41586192 11
 
0.6%
196945.454641052 11
 
0.6%
196824.072701729 10
 
0.6%
Other values (1011) 1524
88.2%
(Missing) 48
 
2.8%
ValueCountFrequency (%)
190619.021480839 1
 
0.1%
191380.878019415 1
 
0.1%
191434.887463719 1
 
0.1%
191482.50302055 3
0.2%
191484.638855239 4
0.2%
191540.260492627 1
 
0.1%
191543.28 1
 
0.1%
191581.803953246 1
 
0.1%
191586.918506689 1
 
0.1%
191594.950462144 2
0.1%
ValueCountFrequency (%)
197170.642282034 2
0.1%
197147.394631349 1
0.1%
197144.015440398 1
0.1%
197121.041523674 1
0.1%
197073.021981074 2
0.1%
197067.069571308 1
0.1%
197062.989911966 1
0.1%
197051.267551275 1
0.1%
197037.539093025 1
0.1%
197031.733319129 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1021
Distinct (%)60.8%
Missing48
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean452232.25
Minimum447015.52
Maximum455973.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T15:08:55.011568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447015.52
5-th percentile450576.39
Q1451193.63
median451975.13
Q3453173.84
95-th percentile454719.03
Maximum455973.4
Range8957.8881
Interquartile range (IQR)1980.2125

Descriptive statistics

Standard deviation1309.29
Coefficient of variation (CV)0.0028951717
Kurtosis-0.46635313
Mean452232.25
Median Absolute Deviation (MAD)965.45959
Skewness0.5628641
Sum7.5975018 × 108
Variance1714240.3
MonotonicityNot monotonic
2024-05-11T15:08:55.256869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450637.010875398 45
 
2.6%
450948.915518467 17
 
1.0%
451267.809661546 13
 
0.8%
453291.683935348 13
 
0.8%
451381.585492051 12
 
0.7%
451698.351672354 12
 
0.7%
451330.791514213 12
 
0.7%
452265.952165442 11
 
0.6%
451003.162676008 11
 
0.6%
450890.664072337 10
 
0.6%
Other values (1011) 1524
88.2%
(Missing) 48
 
2.8%
ValueCountFrequency (%)
447015.515437465 1
 
0.1%
450375.488731434 1
 
0.1%
450421.471613673 1
 
0.1%
450422.374151297 2
 
0.1%
450443.357241716 2
 
0.1%
450451.593376617 3
0.2%
450469.610782261 7
0.4%
450469.851632072 1
 
0.1%
450478.352188795 1
 
0.1%
450493.883494528 1
 
0.1%
ValueCountFrequency (%)
455973.403559421 1
 
0.1%
455929.060502563 1
 
0.1%
455736.252642508 1
 
0.1%
455708.688123813 1
 
0.1%
455637.232317143 1
 
0.1%
455617.563009214 2
 
0.1%
455588.317096857 5
0.3%
455550.962537704 1
 
0.1%
455550.926932781 1
 
0.1%
455411.720077741 1
 
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
출판사
1352 
<NA>
376 

Length

Max length4
Median length3
Mean length3.2175926
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 1352
78.2%
<NA> 376
 
21.8%

Length

2024-05-11T15:08:55.472821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:55.725068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 1352
78.2%
na 376
 
21.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
출판인쇄업
1352 
<NA>
376 

Length

Max length5
Median length5
Mean length4.7824074
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 1352
78.2%
<NA> 376
 
21.8%

Length

2024-05-11T15:08:56.102741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:56.298059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 1352
78.2%
na 376
 
21.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)8.1%
Missing1604
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean0.82258065
Minimum0
Maximum23
Zeros109
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T15:08:56.470787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.85
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4288313
Coefficient of variation (CV)4.1683832
Kurtosis28.9407
Mean0.82258065
Median Absolute Deviation (MAD)0
Skewness5.2943872
Sum102
Variance11.756884
MonotonicityNot monotonic
2024-05-11T15:08:56.675722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 109
 
6.3%
1 5
 
0.3%
20 2
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
23 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
(Missing) 1604
92.8%
ValueCountFrequency (%)
0 109
6.3%
1 5
 
0.3%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
20 2
 
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
20 2
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
5 2
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 5
 
0.3%
0 109
6.3%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1718 
주택가주변
 
4
기타
 
3
학교정화(상대)
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.0040509
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1718
99.4%
주택가주변 4
 
0.2%
기타 3
 
0.2%
학교정화(상대) 2
 
0.1%
아파트지역 1
 
0.1%

Length

2024-05-11T15:08:56.879952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:57.081974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1718
99.4%
주택가주변 4
 
0.2%
기타 3
 
0.2%
학교정화(상대 2
 
0.1%
아파트지역 1
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1727
Missing (%)99.9%
Memory size13.6 KiB
2024-05-11T15:08:57.316845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row공연기획출판
ValueCountFrequency (%)
공연기획출판 1
100.0%
2024-05-11T15:08:57.679566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)21.6%
Missing1515
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean60.92061
Minimum0
Maximum6361.23
Zeros166
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T15:08:57.897382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile136.332
Maximum6361.23
Range6361.23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation455.56404
Coefficient of variation (CV)7.4779953
Kurtosis175.23129
Mean60.92061
Median Absolute Deviation (MAD)0
Skewness12.82959
Sum12976.09
Variance207538.6
MonotonicityNot monotonic
2024-05-11T15:08:58.149865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 166
 
9.6%
51.42 2
 
0.1%
16.5 2
 
0.1%
115.2 1
 
0.1%
40.0 1
 
0.1%
53.74 1
 
0.1%
25.35 1
 
0.1%
14.3 1
 
0.1%
261.0 1
 
0.1%
24.0 1
 
0.1%
Other values (36) 36
 
2.1%
(Missing) 1515
87.7%
ValueCountFrequency (%)
0.0 166
9.6%
14.3 1
 
0.1%
16.5 2
 
0.1%
24.0 1
 
0.1%
24.9 1
 
0.1%
25.35 1
 
0.1%
26.0 1
 
0.1%
30.0 1
 
0.1%
33.0 1
 
0.1%
33.48 1
 
0.1%
ValueCountFrequency (%)
6361.23 1
0.1%
1650.23 1
0.1%
840.0 1
0.1%
592.48 1
0.1%
389.2 1
0.1%
261.0 1
0.1%
253.46 1
0.1%
209.56 1
0.1%
193.41 1
0.1%
155.0 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)8.7%
Missing1602
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean0.8968254
Minimum0
Maximum20
Zeros109
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-11T15:08:58.350759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2859199
Coefficient of variation (CV)3.6639461
Kurtosis21.54455
Mean0.8968254
Median Absolute Deviation (MAD)0
Skewness4.5840305
Sum113
Variance10.79727
MonotonicityNot monotonic
2024-05-11T15:08:58.561372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 109
 
6.3%
2 3
 
0.2%
1 3
 
0.2%
3 3
 
0.2%
5 2
 
0.1%
17 1
 
0.1%
7 1
 
0.1%
20 1
 
0.1%
8 1
 
0.1%
19 1
 
0.1%
(Missing) 1602
92.7%
ValueCountFrequency (%)
0 109
6.3%
1 3
 
0.2%
2 3
 
0.2%
3 3
 
0.2%
5 2
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
14 1
 
0.1%
17 1
 
0.1%
19 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
19 1
 
0.1%
17 1
 
0.1%
14 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
5 2
0.1%
3 3
0.2%
2 3
0.2%
1 3
0.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1612 
0
 
108
1
 
7
6
 
1

Length

Max length4
Median length4
Mean length3.7986111
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1612
93.3%
0 108
 
6.2%
1 7
 
0.4%
6 1
 
0.1%

Length

2024-05-11T15:08:58.790440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:58.962400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1612
93.3%
0 108
 
6.2%
1 7
 
0.4%
6 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1632 
근린생활시설
 
48
단독주택
 
15
사무실
 
15
아파트
 
8
Other values (5)
 
10

Length

Max length15
Median length4
Mean length4.0549769
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1632
94.4%
근린생활시설 48
 
2.8%
단독주택 15
 
0.9%
사무실 15
 
0.9%
아파트 8
 
0.5%
다세대주택 4
 
0.2%
교육연구시설 3
 
0.2%
농어가주택 1
 
0.1%
연립주택 1
 
0.1%
다가구용 주택(공동주택적용) 1
 
0.1%

Length

2024-05-11T15:08:59.170413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:59.401754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1632
94.4%
근린생활시설 48
 
2.8%
단독주택 15
 
0.9%
사무실 15
 
0.9%
아파트 8
 
0.5%
다세대주택 4
 
0.2%
교육연구시설 3
 
0.2%
농어가주택 1
 
0.1%
연립주택 1
 
0.1%
다가구용 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1674 
0
 
54

Length

Max length4
Median length4
Mean length3.90625
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> 1674
96.9%
0 54
 
3.1%

Length

2024-05-11T15:08:59.697755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:59.882562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
96.9%
0 54
 
3.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1674 
0
 
54

Length

Max length4
Median length4
Mean length3.90625
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> 1674
96.9%
0 54
 
3.1%

Length

2024-05-11T15:09:00.106702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:00.301754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
96.9%
0 54
 
3.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1674 
0
 
54

Length

Max length4
Median length4
Mean length3.90625
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> 1674
96.9%
0 54
 
3.1%

Length

2024-05-11T15:09:00.554386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:00.862886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
96.9%
0 54
 
3.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1674 
0
 
54

Length

Max length4
Median length4
Mean length3.90625
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> 1674
96.9%
0 54
 
3.1%

Length

2024-05-11T15:09:01.176813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:01.445652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
96.9%
0 54
 
3.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1674 
0
 
54

Length

Max length4
Median length4
Mean length3.90625
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> 1674
96.9%
0 54
 
3.1%

Length

2024-05-11T15:09:01.782127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:02.108378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
96.9%
0 54
 
3.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1728
Missing (%)100.0%
Memory size15.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
<NA>
1707 
일반주거지역
 
9
주거지역
 
7
준주거지역
 
2
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.0150463
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1707
98.8%
일반주거지역 9
 
0.5%
주거지역 7
 
0.4%
준주거지역 2
 
0.1%
일반상업지역 2
 
0.1%
자연녹지지역 1
 
0.1%

Length

2024-05-11T15:09:02.394505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:02.644116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1707
98.8%
일반주거지역 9
 
0.5%
주거지역 7
 
0.4%
준주거지역 2
 
0.1%
일반상업지역 2
 
0.1%
자연녹지지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFG125100190000000119000629<NA>1영업/정상13영업중<NA><NA><NA><NA>363-8300<NA>120838서울특별시 서대문구 충정로*가 ***-*번지서울특별시 서대문구 충정로*길 **-* (충정로*가)<NA>주식회사 배문교재사2013-03-13 10:05:58I2018-08-31 23:59:59.0<NA>196724.976103451195.680656출판사출판인쇄업<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>
13120000CDFG125100195400000119540706<NA>1영업/정상13영업중<NA><NA><NA><NA>362-6076<NA>120808서울특별시 서대문구 대현동 **-*서울특별시 서대문구 이화여대길 ** (대현동)<NA>이화여자대학교출판문화원2022-08-03 14:15:12U2021-12-08 00:07:00.0<NA>195287.766419451143.789306<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>
23120000CDFG12510019550000011955-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>361-3381<NA>120-140서울특별시 서대문구 신촌동 ***-* 연세대학교내서울특별시 서대문구 연세로 ** (신촌동,연세대학교내)<NA>연세대학교 출판문화원2024-02-21 16:30:51U2023-12-01 22:03:00.0<NA>194584.959249451381.585492<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>
33120000CDFG125100196300000219630528<NA>1영업/정상13영업중<NA><NA><NA><NA>738-0393<NA>120834서울특별시 서대문구 창천동 **-**번지서울특별시 서대문구 연세로*길 ** (창천동)<NA>창조사2003-08-07 14:21:11I2018-08-31 23:59:59.0<NA>194075.795001450666.548755출판사출판인쇄업<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>
43120000CDFG125100196300000319630727<NA>5제외/삭제/전출15전출20220804<NA><NA><NA>392-2334<NA>120160서울특별시 서대문구 대신동 ***-*<NA><NA>신생사2022-08-04 16:46:42U2021-12-08 00:07:00.0<NA>195098.485218451824.770264<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>
53120000CDFG125100196400000119640410<NA>3폐업03폐업20070911<NA><NA><NA><NA><NA>120020서울특별시 서대문구 미근동 ***번지 계명빌딩 *층서울특별시 서대문구 통일로 ***-* (미근동,계명빌딩 *층)<NA>계명서원2007-09-12 11:16:53I2018-08-31 23:59:59.0<NA>197037.539093451333.74306출판사출판인쇄업<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>
63120000CDFG125100196500000119650827<NA>1영업/정상13영업중<NA><NA><NA><NA>362-2045<NA>120012서울특별시 서대문구 충정로*가 **-**번지서울특별시 서대문구 경기대로 ** (충정로*가)<NA>한국사법행정학회2003-08-01 13:45:16I2018-08-31 23:59:59.0<NA>196690.854695451345.391238출판사출판인쇄업<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>
73120000CDFG125100196600000319661214<NA>3폐업03폐업20051005<NA><NA><NA>363-2051<NA>120837서울특별시 서대문구 충정로*가 **-*번지<NA><NA>시청각교육사2005-10-05 13:04:30I2018-08-31 23:59:59.0<NA>196692.350933451010.745279출판사출판인쇄업<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>
83120000CDFG125100196800000219681122<NA>5제외/삭제/전출15전출20220804<NA><NA><NA>392-2333<NA>120160서울특별시 서대문구 대신동 ***-*<NA><NA>한국기독교문화원2022-08-04 16:47:08U2021-12-08 00:07:00.0<NA>195098.485218451824.770264<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>
93120000CDFG125100196900000119691015<NA>1영업/정상13영업중<NA><NA><NA><NA>300-1610<NA>120801서울특별시 서대문구 남가좌동 **-*번지서울특별시 서대문구 거북골로 ** (남가좌동)<NA>명지대학교출판부2007-12-03 15:54:07I2018-08-31 23:59:59.0<NA>193139.523944453106.002592출판사출판인쇄업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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