Overview

Dataset statistics

Number of variables56
Number of observations1284
Missing cells35588
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory605.8 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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17881/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
상세영업상태코드 is highly imbalanced (56.2%)Imbalance
상세영업상태명 is highly imbalanced (56.2%)Imbalance
주변환경명 is highly imbalanced (96.2%)Imbalance
지하층수 is highly imbalanced (75.2%)Imbalance
건물용도명 is highly imbalanced (92.9%)Imbalance
통로너비 is highly imbalanced (71.1%)Imbalance
조명시설조도 is highly imbalanced (71.1%)Imbalance
노래방실수 is highly imbalanced (71.1%)Imbalance
청소년실수 is highly imbalanced (71.1%)Imbalance
총게임기수 is highly imbalanced (71.1%)Imbalance
지역구분명 is highly imbalanced (95.6%)Imbalance
인허가취소일자 has 1284 (100.0%) missing valuesMissing
폐업일자 has 960 (74.8%) missing valuesMissing
휴업시작일자 has 1284 (100.0%) missing valuesMissing
휴업종료일자 has 1284 (100.0%) missing valuesMissing
재개업일자 has 1284 (100.0%) missing valuesMissing
전화번호 has 649 (50.5%) missing valuesMissing
소재지면적 has 1284 (100.0%) missing valuesMissing
소재지우편번호 has 654 (50.9%) missing valuesMissing
도로명주소 has 37 (2.9%) missing valuesMissing
도로명우편번호 has 468 (36.4%) missing valuesMissing
업태구분명 has 1284 (100.0%) missing valuesMissing
좌표정보(X) has 16 (1.2%) missing valuesMissing
좌표정보(Y) has 16 (1.2%) missing valuesMissing
총층수 has 1127 (87.8%) missing valuesMissing
제작취급품목내용 has 1283 (99.9%) missing valuesMissing
시설면적 has 1002 (78.0%) missing valuesMissing
지상층수 has 1127 (87.8%) missing valuesMissing
비상계단여부 has 1284 (100.0%) missing valuesMissing
비상구여부 has 1284 (100.0%) missing valuesMissing
자동환기여부 has 1284 (100.0%) missing valuesMissing
청소년실여부 has 1284 (100.0%) missing valuesMissing
특수조명여부 has 1284 (100.0%) missing valuesMissing
방음시설여부 has 1284 (100.0%) missing valuesMissing
비디오재생기명 has 1284 (100.0%) missing valuesMissing
조명시설유무 has 1284 (100.0%) missing valuesMissing
음향시설여부 has 1284 (100.0%) missing valuesMissing
편의시설여부 has 1284 (100.0%) missing valuesMissing
소방시설여부 has 1284 (100.0%) missing valuesMissing
기존게임업외업종명 has 1284 (100.0%) missing valuesMissing
제공게임물명 has 1284 (100.0%) missing valuesMissing
공연장형태구분명 has 1284 (100.0%) missing valuesMissing
품목명 has 1284 (100.0%) missing valuesMissing
최초등록시점 has 1284 (100.0%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -31.36835522)Skewed
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 144 (11.2%) zerosZeros
시설면적 has 262 (20.4%) zerosZeros
지상층수 has 144 (11.2%) zerosZeros

Reproduction

Analysis started2024-04-06 09:51:48.645382
Analysis finished2024-04-06 09:51:50.470610
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3040000
1284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 1284
100.0%

Length

2024-04-06T18:51:50.586883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:50.739392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 1284
100.0%

관리번호
Text

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-06T18:51:51.020750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters25680
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

Unique1284 ?
Unique (%)100.0%

Sample

1st rowCDFG1251001957000001
2nd rowCDFG1251001962000001
3rd rowCDFG1251001972000001
4th rowCDFG1251001972000002
5th rowCDFG1251001975000001
ValueCountFrequency (%)
cdfg1251001957000001 1
 
0.1%
cdfg1251002017000050 1
 
0.1%
cdfg1251002018000064 1
 
0.1%
cdfg1251002018000062 1
 
0.1%
cdfg1251002018000060 1
 
0.1%
cdfg1251002018000057 1
 
0.1%
cdfg1251002018000055 1
 
0.1%
cdfg1251002018000054 1
 
0.1%
cdfg1251002018000052 1
 
0.1%
cdfg1251002018000065 1
 
0.1%
Other values (1274) 1274
99.2%
2024-04-06T18:51:51.570872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9684
37.7%
1 3751
 
14.6%
2 3292
 
12.8%
5 1620
 
6.3%
C 1284
 
5.0%
D 1284
 
5.0%
F 1284
 
5.0%
G 1284
 
5.0%
9 500
 
1.9%
3 444
 
1.7%
Other values (4) 1253
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20544
80.0%
Uppercase Letter 5136
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9684
47.1%
1 3751
 
18.3%
2 3292
 
16.0%
5 1620
 
7.9%
9 500
 
2.4%
3 444
 
2.2%
4 410
 
2.0%
6 304
 
1.5%
7 278
 
1.4%
8 261
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 1284
25.0%
D 1284
25.0%
F 1284
25.0%
G 1284
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20544
80.0%
Latin 5136
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9684
47.1%
1 3751
 
18.3%
2 3292
 
16.0%
5 1620
 
7.9%
9 500
 
2.4%
3 444
 
2.2%
4 410
 
2.0%
6 304
 
1.5%
7 278
 
1.4%
8 261
 
1.3%
Latin
ValueCountFrequency (%)
C 1284
25.0%
D 1284
25.0%
F 1284
25.0%
G 1284
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9684
37.7%
1 3751
 
14.6%
2 3292
 
12.8%
5 1620
 
6.3%
C 1284
 
5.0%
D 1284
 
5.0%
F 1284
 
5.0%
G 1284
 
5.0%
9 500
 
1.9%
3 444
 
1.7%
Other values (4) 1253
 
4.9%

인허가일자
Date

Distinct1116
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum1957-07-28 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T18:51:51.792280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:51.984283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
1
938 
3
297 
5
 
47
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 938
73.1%
3 297
 
23.1%
5 47
 
3.7%
4 2
 
0.2%

Length

2024-04-06T18:51:52.191674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:52.341967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 938
73.1%
3 297
 
23.1%
5 47
 
3.7%
4 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
영업/정상
938 
폐업
297 
제외/삭제/전출
 
47
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.4299065
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 938
73.1%
폐업 297
 
23.1%
제외/삭제/전출 47
 
3.7%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-04-06T18:51:52.524378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:52.679834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 938
73.1%
폐업 297
 
23.1%
제외/삭제/전출 47
 
3.7%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
13
937 
03
297 
15
 
47
35
 
2
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0015576
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 937
73.0%
03 297
 
23.1%
15 47
 
3.7%
35 2
 
0.2%
BBBB 1
 
0.1%

Length

2024-04-06T18:51:52.861100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:53.336299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 937
73.0%
03 297
 
23.1%
15 47
 
3.7%
35 2
 
0.2%
bbbb 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
영업중
937 
폐업
297 
전출
 
47
직권말소
 
2
<NA>
 
1

Length

Max length4
Median length3
Mean length2.7344237
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 937
73.0%
폐업 297
 
23.1%
전출 47
 
3.7%
직권말소 2
 
0.2%
<NA> 1
 
0.1%

Length

2024-04-06T18:51:53.533370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:53.716525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 937
73.0%
폐업 297
 
23.1%
전출 47
 
3.7%
직권말소 2
 
0.2%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct300
Distinct (%)92.6%
Missing960
Missing (%)74.8%
Memory size10.2 KiB
Minimum1997-05-25 00:00:00
Maximum2024-03-22 00:00:00
2024-04-06T18:51:53.919824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:54.149280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

전화번호
Text

MISSING 

Distinct547
Distinct (%)86.1%
Missing649
Missing (%)50.5%
Memory size10.2 KiB
2024-04-06T18:51:54.538074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.9433071
Min length4

Characters and Unicode

Total characters6314
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

Unique521 ?
Unique (%)82.0%

Sample

1st row466-0123
2nd row444-5621
3rd row02-455-7818
4th row466-2328
5th row932-5777
ValueCountFrequency (%)
029717347 36
 
5.7%
02-971-7347 24
 
3.8%
02-000-0000 5
 
0.8%
07047945826 4
 
0.6%
446-0393 3
 
0.5%
02-2274-7834 2
 
0.3%
0222429801 2
 
0.3%
02-2201-2350 2
 
0.3%
0234377720 2
 
0.3%
02-3436-0746 2
 
0.3%
Other values (537) 553
87.1%
2024-04-06T18:51:55.198428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 874
13.8%
- 815
12.9%
4 814
12.9%
2 762
12.1%
7 603
9.6%
5 497
7.9%
3 479
7.6%
6 412
6.5%
1 403
6.4%
9 333
 
5.3%
Other values (2) 322
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5497
87.1%
Dash Punctuation 815
 
12.9%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 874
15.9%
4 814
14.8%
2 762
13.9%
7 603
11.0%
5 497
9.0%
3 479
8.7%
6 412
7.5%
1 403
7.3%
9 333
 
6.1%
8 320
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 815
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 874
13.8%
- 815
12.9%
4 814
12.9%
2 762
12.1%
7 603
9.6%
5 497
7.9%
3 479
7.6%
6 412
6.5%
1 403
6.4%
9 333
 
5.3%
Other values (2) 322
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 874
13.8%
- 815
12.9%
4 814
12.9%
2 762
12.1%
7 603
9.6%
5 497
7.9%
3 479
7.6%
6 412
6.5%
1 403
6.4%
9 333
 
5.3%
Other values (2) 322
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

소재지우편번호
Text

MISSING 

Distinct145
Distinct (%)23.0%
Missing654
Missing (%)50.9%
Memory size10.2 KiB
2024-04-06T18:51:55.641200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0111111
Min length6

Characters and Unicode

Total characters3787
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

Unique52 ?
Unique (%)8.3%

Sample

1st row143912
2nd row143874
3rd row143716
4th row143826
5th row143758
ValueCountFrequency (%)
143802 26
 
4.1%
143912 20
 
3.2%
143825 19
 
3.0%
143826 17
 
2.7%
143831 16
 
2.5%
143853 16
 
2.5%
143891 15
 
2.4%
143821 15
 
2.4%
143847 14
 
2.2%
143846 14
 
2.2%
Other values (135) 458
72.7%
2024-04-06T18:51:56.223150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 853
22.5%
4 735
19.4%
3 731
19.3%
8 527
13.9%
2 232
 
6.1%
9 190
 
5.0%
0 155
 
4.1%
7 154
 
4.1%
5 102
 
2.7%
6 101
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3780
99.8%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 853
22.6%
4 735
19.4%
3 731
19.3%
8 527
13.9%
2 232
 
6.1%
9 190
 
5.0%
0 155
 
4.1%
7 154
 
4.1%
5 102
 
2.7%
6 101
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 853
22.5%
4 735
19.4%
3 731
19.3%
8 527
13.9%
2 232
 
6.1%
9 190
 
5.0%
0 155
 
4.1%
7 154
 
4.1%
5 102
 
2.7%
6 101
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 853
22.5%
4 735
19.4%
3 731
19.3%
8 527
13.9%
2 232
 
6.1%
9 190
 
5.0%
0 155
 
4.1%
7 154
 
4.1%
5 102
 
2.7%
6 101
 
2.7%

지번주소
Text

Distinct660
Distinct (%)51.4%
Missing1
Missing (%)0.1%
Memory size10.2 KiB
2024-04-06T18:51:56.577397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length26.241621
Min length14

Characters and Unicode

Total characters33668
Distinct characters298
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

Unique511 ?
Unique (%)39.8%

Sample

1st row서울특별시 광진구 중곡동 ***-*번지
2nd row서울특별시 광진구 군자동 *-**번지
3rd row서울특별시 광진구 자양동 ***-**번지
4th row서울특별시 광진구 구의동 ***-**번지 ***호
5th row서울특별시 광진구 구의동 ***-***번지
ValueCountFrequency (%)
서울특별시 1287
20.3%
광진구 1274
20.1%
번지 821
12.9%
454
 
7.1%
구의동 428
 
6.7%
호 308
 
4.8%
자양동 271
 
4.3%
중곡동 225
 
3.5%
광장동 144
 
2.3%
층 112
 
1.8%
Other values (410) 1030
16.2%
2024-04-06T18:51:57.124200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6937
20.6%
5837
17.3%
구 1725
 
5.1%
광 1456
 
4.3%
동 1433
 
4.3%
시 1304
 
3.9%
진 1300
 
3.9%
서 1296
 
3.8%
울 1292
 
3.8%
특 1287
 
3.8%
Other values (288) 9801
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19519
58.0%
Other Punctuation 6945
 
20.6%
Space Separator 5837
 
17.3%
Dash Punctuation 1209
 
3.6%
Uppercase Letter 80
 
0.2%
Decimal Number 54
 
0.2%
Lowercase Letter 11
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1725
 
8.8%
광 1456
 
7.5%
동 1433
 
7.3%
시 1304
 
6.7%
진 1300
 
6.7%
서 1296
 
6.6%
울 1292
 
6.6%
특 1287
 
6.6%
별 1287
 
6.6%
지 861
 
4.4%
Other values (242) 6278
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 27
33.8%
A 13
16.2%
C 7
 
8.8%
S 6
 
7.5%
D 5
 
6.2%
F 3
 
3.8%
P 3
 
3.8%
I 2
 
2.5%
K 2
 
2.5%
L 2
 
2.5%
Other values (8) 10
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 11
20.4%
3 9
16.7%
2 9
16.7%
7 8
14.8%
8 5
9.3%
5 4
 
7.4%
4 3
 
5.6%
6 3
 
5.6%
9 1
 
1.9%
0 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
e 2
18.2%
t 1
9.1%
o 1
9.1%
w 1
9.1%
r 1
9.1%
z 1
9.1%
l 1
9.1%
c 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 6937
99.9%
, 4
 
0.1%
/ 3
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5837
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19519
58.0%
Common 14057
41.8%
Latin 92
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1725
 
8.8%
광 1456
 
7.5%
동 1433
 
7.3%
시 1304
 
6.7%
진 1300
 
6.7%
서 1296
 
6.6%
울 1292
 
6.6%
특 1287
 
6.6%
별 1287
 
6.6%
지 861
 
4.4%
Other values (242) 6278
32.2%
Latin
ValueCountFrequency (%)
B 27
29.3%
A 13
14.1%
C 7
 
7.6%
S 6
 
6.5%
D 5
 
5.4%
F 3
 
3.3%
P 3
 
3.3%
I 2
 
2.2%
K 2
 
2.2%
a 2
 
2.2%
Other values (18) 22
23.9%
Common
ValueCountFrequency (%)
* 6937
49.3%
5837
41.5%
- 1209
 
8.6%
1 11
 
0.1%
3 9
 
0.1%
2 9
 
0.1%
7 8
 
0.1%
( 6
 
< 0.1%
) 6
 
< 0.1%
8 5
 
< 0.1%
Other values (8) 20
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19519
58.0%
ASCII 14148
42.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6937
49.0%
5837
41.3%
- 1209
 
8.5%
B 27
 
0.2%
A 13
 
0.1%
1 11
 
0.1%
3 9
 
0.1%
2 9
 
0.1%
7 8
 
0.1%
C 7
 
< 0.1%
Other values (35) 81
 
0.6%
Hangul
ValueCountFrequency (%)
구 1725
 
8.8%
광 1456
 
7.5%
동 1433
 
7.3%
시 1304
 
6.7%
진 1300
 
6.7%
서 1296
 
6.6%
울 1292
 
6.6%
특 1287
 
6.6%
별 1287
 
6.6%
지 861
 
4.4%
Other values (242) 6278
32.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct940
Distinct (%)75.4%
Missing37
Missing (%)2.9%
Memory size10.2 KiB
2024-04-06T18:51:57.467730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length34.44988
Min length20

Characters and Unicode

Total characters42959
Distinct characters317
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique782 ?
Unique (%)62.7%

Sample

1st row서울특별시 광진구 면목로 ** (중곡동)
2nd row서울특별시 광진구 능동로**길 * (군자동)
3rd row서울특별시 광진구 자양로 ** (자양동)
4th row서울특별시 광진구 아차산로 ***, ***호 (구의동)
5th row서울특별시 광진구 자양로 *** (구의동)
ValueCountFrequency (%)
서울특별시 1254
15.7%
1247
15.6%
광진구 1239
15.5%
호 592
 
7.4%
구의동 345
 
4.3%
층 324
 
4.1%
자양동 213
 
2.7%
중곡동 188
 
2.4%
광나루로**길 137
 
1.7%
아차산로**길 131
 
1.6%
Other values (566) 2311
29.0%
2024-04-06T18:51:58.139034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7618
17.7%
7088
16.5%
구 1749
 
4.1%
동 1737
 
4.0%
광 1625
 
3.8%
진 1273
 
3.0%
시 1268
 
3.0%
서 1264
 
2.9%
울 1259
 
2.9%
로 1256
 
2.9%
Other values (307) 16822
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23936
55.7%
Other Punctuation 8864
 
20.6%
Space Separator 7088
 
16.5%
Close Punctuation 1247
 
2.9%
Open Punctuation 1247
 
2.9%
Dash Punctuation 357
 
0.8%
Uppercase Letter 103
 
0.2%
Decimal Number 93
 
0.2%
Lowercase Letter 16
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1749
 
7.3%
동 1737
 
7.3%
광 1625
 
6.8%
진 1273
 
5.3%
시 1268
 
5.3%
서 1264
 
5.3%
울 1259
 
5.3%
로 1256
 
5.2%
특 1254
 
5.2%
별 1254
 
5.2%
Other values (259) 9997
41.8%
Uppercase Letter
ValueCountFrequency (%)
B 43
41.7%
A 14
 
13.6%
C 9
 
8.7%
D 7
 
6.8%
S 5
 
4.9%
P 3
 
2.9%
F 3
 
2.9%
Y 3
 
2.9%
K 2
 
1.9%
R 2
 
1.9%
Other values (10) 12
 
11.7%
Decimal Number
ValueCountFrequency (%)
1 19
20.4%
0 17
18.3%
3 16
17.2%
2 10
10.8%
7 9
9.7%
6 7
 
7.5%
5 4
 
4.3%
8 4
 
4.3%
9 4
 
4.3%
4 3
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
t 2
12.5%
o 2
12.5%
w 2
12.5%
r 2
12.5%
a 2
12.5%
l 1
 
6.2%
z 1
 
6.2%
c 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 7618
85.9%
, 1243
 
14.0%
/ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7088
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23936
55.7%
Common 18903
44.0%
Latin 120
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1749
 
7.3%
동 1737
 
7.3%
광 1625
 
6.8%
진 1273
 
5.3%
시 1268
 
5.3%
서 1264
 
5.3%
울 1259
 
5.3%
로 1256
 
5.2%
특 1254
 
5.2%
별 1254
 
5.2%
Other values (259) 9997
41.8%
Latin
ValueCountFrequency (%)
B 43
35.8%
A 14
 
11.7%
C 9
 
7.5%
D 7
 
5.8%
S 5
 
4.2%
P 3
 
2.5%
F 3
 
2.5%
Y 3
 
2.5%
e 3
 
2.5%
K 2
 
1.7%
Other values (20) 28
23.3%
Common
ValueCountFrequency (%)
* 7618
40.3%
7088
37.5%
) 1247
 
6.6%
( 1247
 
6.6%
, 1243
 
6.6%
- 357
 
1.9%
1 19
 
0.1%
0 17
 
0.1%
3 16
 
0.1%
2 10
 
0.1%
Other values (8) 41
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23936
55.7%
ASCII 19022
44.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7618
40.0%
7088
37.3%
) 1247
 
6.6%
( 1247
 
6.6%
, 1243
 
6.5%
- 357
 
1.9%
B 43
 
0.2%
1 19
 
0.1%
0 17
 
0.1%
3 16
 
0.1%
Other values (37) 127
 
0.7%
Hangul
ValueCountFrequency (%)
구 1749
 
7.3%
동 1737
 
7.3%
광 1625
 
6.8%
진 1273
 
5.3%
시 1268
 
5.3%
서 1264
 
5.3%
울 1259
 
5.3%
로 1256
 
5.2%
특 1254
 
5.2%
별 1254
 
5.2%
Other values (259) 9997
41.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct258
Distinct (%)31.6%
Missing468
Missing (%)36.4%
Memory size10.2 KiB
2024-04-06T18:51:58.622414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2046569
Min length5

Characters and Unicode

Total characters4247
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

Unique103 ?
Unique (%)12.6%

Sample

1st row04997
2nd row143716
3rd row143747
4th row04975
5th row04948
ValueCountFrequency (%)
05116 98
 
12.0%
04969 22
 
2.7%
05072 14
 
1.7%
04967 13
 
1.6%
04997 12
 
1.5%
04968 11
 
1.3%
04992 10
 
1.2%
05044 9
 
1.1%
04987 8
 
1.0%
05001 8
 
1.0%
Other values (248) 611
74.9%
2024-04-06T18:51:59.256485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1026
24.2%
4 562
13.2%
1 553
13.0%
5 489
11.5%
9 456
10.7%
3 282
 
6.6%
6 270
 
6.4%
8 242
 
5.7%
2 189
 
4.5%
7 176
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4245
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1026
24.2%
4 562
13.2%
1 553
13.0%
5 489
11.5%
9 456
10.7%
3 282
 
6.6%
6 270
 
6.4%
8 242
 
5.7%
2 189
 
4.5%
7 176
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1026
24.2%
4 562
13.2%
1 553
13.0%
5 489
11.5%
9 456
10.7%
3 282
 
6.6%
6 270
 
6.4%
8 242
 
5.7%
2 189
 
4.5%
7 176
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1026
24.2%
4 562
13.2%
1 553
13.0%
5 489
11.5%
9 456
10.7%
3 282
 
6.6%
6 270
 
6.4%
8 242
 
5.7%
2 189
 
4.5%
7 176
 
4.1%

사업장명
Text

Distinct1265
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-06T18:51:59.779827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length7.5023364
Min length1

Characters and Unicode

Total characters9633
Distinct characters691
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1248 ?
Unique (%)97.2%

Sample

1st row(도)한국천주교중앙협
2nd row도서출판 문예림
3rd row(도)태림출판사
4th row대광서림 주식회사
5th row(도)기다리
ValueCountFrequency (%)
도서출판 124
 
6.8%
주식회사 117
 
6.4%
출판사 13
 
0.7%
북스 10
 
0.5%
studio 7
 
0.4%
스튜디오 6
 
0.3%
디자인 6
 
0.3%
books 6
 
0.3%
the 5
 
0.3%
출판 5
 
0.3%
Other values (1457) 1524
83.6%
2024-04-06T18:52:00.454381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
 
5.6%
사 288
 
3.0%
스 277
 
2.9%
주 258
 
2.7%
) 252
 
2.6%
( 251
 
2.6%
판 250
 
2.6%
출 248
 
2.6%
도 212
 
2.2%
서 192
 
2.0%
Other values (681) 6866
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7291
75.7%
Lowercase Letter 676
 
7.0%
Space Separator 539
 
5.6%
Uppercase Letter 535
 
5.6%
Close Punctuation 252
 
2.6%
Open Punctuation 251
 
2.6%
Other Punctuation 39
 
0.4%
Decimal Number 35
 
0.4%
Other Symbol 11
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 288
 
4.0%
스 277
 
3.8%
주 258
 
3.5%
판 250
 
3.4%
출 248
 
3.4%
도 212
 
2.9%
서 192
 
2.6%
이 181
 
2.5%
회 156
 
2.1%
디 130
 
1.8%
Other values (611) 5099
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 47
 
8.8%
E 42
 
7.9%
O 40
 
7.5%
I 33
 
6.2%
A 32
 
6.0%
B 30
 
5.6%
D 29
 
5.4%
N 28
 
5.2%
M 28
 
5.2%
T 26
 
4.9%
Other values (16) 200
37.4%
Lowercase Letter
ValueCountFrequency (%)
o 84
12.4%
e 62
 
9.2%
s 60
 
8.9%
a 53
 
7.8%
i 51
 
7.5%
r 49
 
7.2%
n 38
 
5.6%
t 38
 
5.6%
l 30
 
4.4%
c 28
 
4.1%
Other values (15) 183
27.1%
Decimal Number
ValueCountFrequency (%)
1 10
28.6%
2 9
25.7%
7 4
 
11.4%
3 4
 
11.4%
8 3
 
8.6%
9 2
 
5.7%
6 2
 
5.7%
4 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 15
38.5%
. 15
38.5%
? 3
 
7.7%
, 3
 
7.7%
' 3
 
7.7%
Other Symbol
ValueCountFrequency (%)
㈜ 10
90.9%
℃ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7273
75.5%
Latin 1211
 
12.6%
Common 1121
 
11.6%
Han 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 288
 
4.0%
스 277
 
3.8%
주 258
 
3.5%
판 250
 
3.4%
출 248
 
3.4%
도 212
 
2.9%
서 192
 
2.6%
이 181
 
2.5%
회 156
 
2.1%
디 130
 
1.8%
Other values (590) 5081
69.9%
Latin
ValueCountFrequency (%)
o 84
 
6.9%
e 62
 
5.1%
s 60
 
5.0%
a 53
 
4.4%
i 51
 
4.2%
r 49
 
4.0%
S 47
 
3.9%
E 42
 
3.5%
O 40
 
3.3%
n 38
 
3.1%
Other values (41) 685
56.6%
Han
ValueCountFrequency (%)
知 4
 
14.3%
性 4
 
14.3%
信 1
 
3.6%
一 1
 
3.6%
文 1
 
3.6%
化 1
 
3.6%
圓 1
 
3.6%
智 1
 
3.6%
日 1
 
3.6%
新 1
 
3.6%
Other values (12) 12
42.9%
Common
ValueCountFrequency (%)
539
48.1%
) 252
22.5%
( 251
22.4%
& 15
 
1.3%
. 15
 
1.3%
1 10
 
0.9%
2 9
 
0.8%
- 4
 
0.4%
7 4
 
0.4%
3 4
 
0.4%
Other values (8) 18
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7263
75.4%
ASCII 2331
 
24.2%
CJK 28
 
0.3%
None 10
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
23.1%
) 252
 
10.8%
( 251
 
10.8%
o 84
 
3.6%
e 62
 
2.7%
s 60
 
2.6%
a 53
 
2.3%
i 51
 
2.2%
r 49
 
2.1%
S 47
 
2.0%
Other values (58) 883
37.9%
Hangul
ValueCountFrequency (%)
사 288
 
4.0%
스 277
 
3.8%
주 258
 
3.6%
판 250
 
3.4%
출 248
 
3.4%
도 212
 
2.9%
서 192
 
2.6%
이 181
 
2.5%
회 156
 
2.1%
디 130
 
1.8%
Other values (589) 5071
69.8%
None
ValueCountFrequency (%)
㈜ 10
100.0%
CJK
ValueCountFrequency (%)
知 4
 
14.3%
性 4
 
14.3%
信 1
 
3.6%
一 1
 
3.6%
文 1
 
3.6%
化 1
 
3.6%
圓 1
 
3.6%
智 1
 
3.6%
日 1
 
3.6%
新 1
 
3.6%
Other values (12) 12
42.9%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정일자
Date

Distinct1132
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2003-05-13 11:35:46
Maximum2024-04-01 16:25:31
2024-04-06T18:52:00.708158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:52:00.950335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
994 
U
290 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 994
77.4%
U 290
 
22.6%

Length

2024-04-06T18:52:01.164868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:01.311799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 994
77.4%
u 290
 
22.6%

데이터갱신일자
Date

Distinct447
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T18:52:01.523093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:52:01.768403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct790
Distinct (%)62.3%
Missing16
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean207522.26
Minimum190089.04
Maximum281581.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-06T18:52:01.998585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190089.04
5-th percentile205827.38
Q1206813.04
median207410.63
Q3208170.99
95-th percentile209296.13
Maximum281581.34
Range91492.293
Interquartile range (IQR)1357.9533

Descriptive statistics

Standard deviation2563.3956
Coefficient of variation (CV)0.012352389
Kurtosis566.46333
Mean207522.26
Median Absolute Deviation (MAD)677.54778
Skewness19.770575
Sum2.6313823 × 108
Variance6570997.2
MonotonicityNot monotonic
2024-04-06T18:52:02.226024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 97
 
7.6%
209734.218553133 17
 
1.3%
208124.549163942 14
 
1.1%
205828.253476728 12
 
0.9%
207388.308848516 11
 
0.9%
209637.078215509 11
 
0.9%
206349.675048285 11
 
0.9%
208403.746065593 10
 
0.8%
207452.058684976 10
 
0.8%
207325.576921423 9
 
0.7%
Other values (780) 1066
83.0%
(Missing) 16
 
1.2%
ValueCountFrequency (%)
190089.042392341 1
0.1%
192650.643918749 1
0.1%
195380.776695002 1
0.1%
201162.883364864 1
0.1%
203722.376614385 1
0.1%
205039.907145725 1
0.1%
205361.964356891 1
0.1%
205367.268135886 1
0.1%
205377.940006489 1
0.1%
205387.44987417 1
0.1%
ValueCountFrequency (%)
281581.335335 1
 
0.1%
237004.15594222 1
 
0.1%
212653.643463734 1
 
0.1%
209734.218553133 17
1.3%
209679.58447051 6
 
0.5%
209668.90120464 3
 
0.2%
209653.285186637 3
 
0.2%
209637.078215509 11
0.9%
209623.073988618 1
 
0.1%
209587.408592767 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct790
Distinct (%)62.3%
Missing16
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean449106.54
Minimum309230.63
Maximum455523.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-06T18:52:02.491018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum309230.63
5-th percentile447773.22
Q1448255.35
median448984.57
Q3450114.03
95-th percentile451176.3
Maximum455523.12
Range146292.5
Interquartile range (IQR)1858.6806

Descriptive statistics

Standard deviation4100.5274
Coefficient of variation (CV)0.0091304112
Kurtosis1070.7522
Mean449106.54
Median Absolute Deviation (MAD)819.28817
Skewness-31.368355
Sum5.694671 × 108
Variance16814325
MonotonicityNot monotonic
2024-04-06T18:52:02.722480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 97
 
7.6%
449933.547744527 17
 
1.3%
447812.924832297 14
 
1.1%
448575.453228821 12
 
0.9%
448313.517465433 11
 
0.9%
449832.485937903 11
 
0.9%
448396.939704285 11
 
0.9%
448490.239179557 10
 
0.8%
450586.290749531 10
 
0.8%
448526.049057258 9
 
0.7%
Other values (780) 1066
83.0%
(Missing) 16
 
1.2%
ValueCountFrequency (%)
309230.625542 1
0.1%
441465.986871564 1
0.1%
442796.593876457 1
0.1%
444269.923726888 1
0.1%
445554.619865269 1
0.1%
446237.835338274 1
0.1%
447304.718807378 1
0.1%
447309.792408824 1
0.1%
447322.516325441 2
0.2%
447358.393498123 1
0.1%
ValueCountFrequency (%)
455523.124464703 1
0.1%
452128.068818571 1
0.1%
452102.348791392 2
0.2%
452083.35613137 2
0.2%
452076.858608987 1
0.1%
452074.404628478 1
0.1%
452023.202324037 1
0.1%
452021.06056485 2
0.2%
452020.38564684 1
0.1%
451983.142594695 1
0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
출판사
1010 
<NA>
274 

Length

Max length4
Median length3
Mean length3.2133956
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 1010
78.7%
<NA> 274
 
21.3%

Length

2024-04-06T18:52:02.979304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:03.164653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 1010
78.7%
na 274
 
21.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
출판인쇄업
1010 
<NA>
274 

Length

Max length5
Median length5
Mean length4.7866044
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 1010
78.7%
<NA> 274
 
21.3%

Length

2024-04-06T18:52:03.343766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:03.499909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 1010
78.7%
na 274
 
21.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)6.4%
Missing1127
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean0.92356688
Minimum0
Maximum42
Zeros144
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-06T18:52:03.676721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.2
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3802315
Coefficient of variation (CV)4.7427334
Kurtosis54.163457
Mean0.92356688
Median Absolute Deviation (MAD)0
Skewness6.7903711
Sum145
Variance19.186428
MonotonicityNot monotonic
2024-04-06T18:52:03.858208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 144
 
11.2%
4 4
 
0.3%
5 2
 
0.2%
2 1
 
0.1%
14 1
 
0.1%
42 1
 
0.1%
6 1
 
0.1%
20 1
 
0.1%
17 1
 
0.1%
18 1
 
0.1%
(Missing) 1127
87.8%
ValueCountFrequency (%)
0 144
11.2%
2 1
 
0.1%
4 4
 
0.3%
5 2
 
0.2%
6 1
 
0.1%
14 1
 
0.1%
17 1
 
0.1%
18 1
 
0.1%
20 1
 
0.1%
42 1
 
0.1%
ValueCountFrequency (%)
42 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
17 1
 
0.1%
14 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
4 4
 
0.3%
2 1
 
0.1%
0 144
11.2%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1276 
주택가주변
 
4
아파트지역
 
4

Length

Max length5
Median length4
Mean length4.0062305
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> 1276
99.4%
주택가주변 4
 
0.3%
아파트지역 4
 
0.3%

Length

2024-04-06T18:52:04.037987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:04.192144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1276
99.4%
주택가주변 4
 
0.3%
아파트지역 4
 
0.3%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1283
Missing (%)99.9%
Memory size10.2 KiB
2024-04-06T18:52:04.330461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
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 row출판사
ValueCountFrequency (%)
출판사 1
100.0%
2024-04-06T18:52:04.860385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
출 1
33.3%
판 1
33.3%
사 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 1
33.3%
판 1
33.3%
사 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 1
33.3%
판 1
33.3%
사 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
출 1
33.3%
판 1
33.3%
사 1
33.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)7.1%
Missing1002
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean63.773794
Minimum0
Maximum15212
Zeros262
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-06T18:52:05.071220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.87
Maximum15212
Range15212
Interquartile range (IQR)0

Descriptive statistics

Standard deviation908.30322
Coefficient of variation (CV)14.242578
Kurtosis278.22089
Mean63.773794
Median Absolute Deviation (MAD)0
Skewness16.630119
Sum17984.21
Variance825014.75
MonotonicityNot monotonic
2024-04-06T18:52:05.323591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 262
 
20.4%
110.53 2
 
0.2%
15212.0 1
 
0.1%
30.0 1
 
0.1%
134.06 1
 
0.1%
9.9 1
 
0.1%
13.2 1
 
0.1%
6.94 1
 
0.1%
99.0 1
 
0.1%
67.2 1
 
0.1%
Other values (10) 10
 
0.8%
(Missing) 1002
78.0%
ValueCountFrequency (%)
0.0 262
20.4%
6.94 1
 
0.1%
9.9 1
 
0.1%
13.2 1
 
0.1%
19.8 1
 
0.1%
26.4 1
 
0.1%
29.0 1
 
0.1%
29.72 1
 
0.1%
30.0 1
 
0.1%
50.0 1
 
0.1%
ValueCountFrequency (%)
15212.0 1
0.1%
917.52 1
0.1%
793.53 1
0.1%
134.06 1
0.1%
132.89 1
0.1%
110.53 2
0.2%
107.0 1
0.1%
99.0 1
0.1%
84.99 1
0.1%
67.2 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)6.4%
Missing1127
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean0.77070064
Minimum0
Maximum36
Zeros144
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-06T18:52:05.521119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6809848
Coefficient of variation (CV)4.7761538
Kurtosis57.815902
Mean0.77070064
Median Absolute Deviation (MAD)0
Skewness6.9920724
Sum121
Variance13.549649
MonotonicityNot monotonic
2024-04-06T18:52:06.139909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 144
 
11.2%
3 3
 
0.2%
5 2
 
0.2%
4 2
 
0.2%
2 1
 
0.1%
11 1
 
0.1%
36 1
 
0.1%
14 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
(Missing) 1127
87.8%
ValueCountFrequency (%)
0 144
11.2%
2 1
 
0.1%
3 3
 
0.2%
4 2
 
0.2%
5 2
 
0.2%
11 1
 
0.1%
14 1
 
0.1%
15 1
 
0.1%
16 1
 
0.1%
36 1
 
0.1%
ValueCountFrequency (%)
36 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
11 1
 
0.1%
5 2
 
0.2%
4 2
 
0.2%
3 3
 
0.2%
2 1
 
0.1%
0 144
11.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1130 
0
145 
1
 
6
3
 
2
6
 
1

Length

Max length4
Median length4
Mean length3.6401869
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> 1130
88.0%
0 145
 
11.3%
1 6
 
0.5%
3 2
 
0.2%
6 1
 
0.1%

Length

2024-04-06T18:52:06.385850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:06.585236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1130
88.0%
0 145
 
11.3%
1 6
 
0.5%
3 2
 
0.2%
6 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1259 
근린생활시설
 
17
아파트
 
5
사무실
 
2
단독주택
 
1

Length

Max length6
Median length4
Mean length4.021028
Min length3

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> 1259
98.1%
근린생활시설 17
 
1.3%
아파트 5
 
0.4%
사무실 2
 
0.2%
단독주택 1
 
0.1%

Length

2024-04-06T18:52:06.769034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:06.988696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1259
98.1%
근린생활시설 17
 
1.3%
아파트 5
 
0.4%
사무실 2
 
0.2%
단독주택 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1219 
0
 
65

Length

Max length4
Median length4
Mean length3.8481308
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> 1219
94.9%
0 65
 
5.1%

Length

2024-04-06T18:52:07.232068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:07.461380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1219
94.9%
0 65
 
5.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1219 
0
 
65

Length

Max length4
Median length4
Mean length3.8481308
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> 1219
94.9%
0 65
 
5.1%

Length

2024-04-06T18:52:07.618443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:07.783515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1219
94.9%
0 65
 
5.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1219 
0
 
65

Length

Max length4
Median length4
Mean length3.8481308
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> 1219
94.9%
0 65
 
5.1%

Length

2024-04-06T18:52:07.976404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:08.250381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1219
94.9%
0 65
 
5.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1219 
0
 
65

Length

Max length4
Median length4
Mean length3.8481308
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> 1219
94.9%
0 65
 
5.1%

Length

2024-04-06T18:52:08.526803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:08.766055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1219
94.9%
0 65
 
5.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1219 
0
 
65

Length

Max length4
Median length4
Mean length3.8481308
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> 1219
94.9%
0 65
 
5.1%

Length

2024-04-06T18:52:09.013378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:09.353007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1219
94.9%
0 65
 
5.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1269 
일반주거지역
 
6
주거지역
 
5
일반상업지역
 
2
전용주거지역
 
1

Length

Max length6
Median length4
Mean length4.0147975
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1269
98.8%
일반주거지역 6
 
0.5%
주거지역 5
 
0.4%
일반상업지역 2
 
0.2%
전용주거지역 1
 
0.1%
준공업지역 1
 
0.1%

Length

2024-04-06T18:52:09.547361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:09.790063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1269
98.8%
일반주거지역 6
 
0.5%
주거지역 5
 
0.4%
일반상업지역 2
 
0.2%
전용주거지역 1
 
0.1%
준공업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFG125100195700000119570728<NA>1영업/정상13영업중<NA><NA><NA><NA>466-0123<NA>143912서울특별시 광진구 중곡동 ***-*번지서울특별시 광진구 면목로 ** (중곡동)<NA>(도)한국천주교중앙협2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>206901.156479450886.06509출판사출판인쇄업<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>
13040000CDFG125100196200000119620712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 *-**번지서울특별시 광진구 능동로**길 * (군자동)04997도서출판 문예림2019-07-17 09:24:42U2019-07-19 02:40:00.0<NA>206781.974547450262.020007출판사출판인쇄업<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>
23040000CDFG125100197200000119720211<NA>1영업/정상13영업중<NA><NA><NA><NA>444-5621<NA>143874서울특별시 광진구 자양동 ***-**번지서울특별시 광진구 자양로 ** (자양동)<NA>(도)태림출판사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>207477.049468447884.445449출판사출판인쇄업<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>
33040000CDFG125100197200000219721130<NA>1영업/정상13영업중<NA><NA><NA><NA>02-455-7818<NA>143716서울특별시 광진구 구의동 ***-**번지 ***호서울특별시 광진구 아차산로 ***, ***호 (구의동)143716대광서림 주식회사2016-04-22 13:03:44I2018-08-31 23:59:59.0<NA>207388.308849448313.517465출판사출판인쇄업<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>
43040000CDFG125100197500000119750331<NA>1영업/정상13영업중<NA><NA><NA><NA>466-2328<NA>143826서울특별시 광진구 구의동 ***-***번지서울특별시 광진구 자양로 *** (구의동)<NA>(도)기다리2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>207340.133876448750.275614출판사출판인쇄업<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>
53040000CDFG125100197700000319771103<NA>1영업/정상13영업중<NA><NA><NA><NA>932-5777<NA>143758서울특별시 광진구 자양동 ***-***번지서울특별시 광진구 아차산로**길 * (자양동)<NA>도서출판 우일출판사2007-09-11 09:51:04I2018-08-31 23:59:59.0<NA>206520.876653448451.162605출판사출판인쇄업<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>
63040000CDFG125100197800000119780522<NA>1영업/정상13영업중<NA><NA><NA><NA>461-2351<NA>143841서울특별시 광진구 자양동 **-*번지서울특별시 광진구 동일로**길 ** (자양동)<NA>건설문화사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>205743.22634448537.978282출판사출판인쇄업0<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>
73040000CDFG125100197900000119790417<NA>1영업/정상13영업중<NA><NA><NA><NA>447-9791<NA>143867서울특별시 광진구 자양동 ***-**번지서울특별시 광진구 자양로**길 * (자양동)<NA>(도)도서산업사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>207319.257066448068.603688출판사출판인쇄업<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>
83040000CDFG12510019790000021979-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>445-3101<NA>143-811서울특별시 광진구 광장동 ***서울특별시 광진구 광장로*길 **-* (광장동)<NA>도서출판 장로회신학대학교 출판부2023-04-18 09:13:18U2022-12-03 22:00:00.0<NA>209096.544852449775.249092<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>
93040000CDFG125100198000000119800428<NA>1영업/정상13영업중<NA><NA><NA><NA>453-5928<NA>143912서울특별시 광진구 중곡동 ***-**번지서울특별시 광진구 능동로**길 * (중곡동)<NA>(도)빅벨 출판사2003-05-13 11:35:46I2018-08-31 23:59:59.0<NA>206980.97082450680.671703출판사출판인쇄업<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>
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