Overview

Dataset statistics

Number of variables56
Number of observations432
Missing cells11296
Missing cells (%)46.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory205.2 KiB
Average record size in memory486.3 B

Variable types

Categorical17
Text7
DateTime4
Unsupported23
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17870/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (59.9%)Imbalance
문화체육업종명 is highly imbalanced (59.4%)Imbalance
문화사업자구분명 is highly imbalanced (59.4%)Imbalance
총층수 is highly imbalanced (75.6%)Imbalance
주변환경명 is highly imbalanced (94.0%)Imbalance
지상층수 is highly imbalanced (77.6%)Imbalance
지하층수 is highly imbalanced (70.7%)Imbalance
건물용도명 is highly imbalanced (87.1%)Imbalance
통로너비 is highly imbalanced (59.4%)Imbalance
조명시설조도 is highly imbalanced (59.4%)Imbalance
노래방실수 is highly imbalanced (59.4%)Imbalance
청소년실수 is highly imbalanced (59.4%)Imbalance
총게임기수 is highly imbalanced (59.4%)Imbalance
인허가취소일자 has 432 (100.0%) missing valuesMissing
폐업일자 has 341 (78.9%) missing valuesMissing
휴업시작일자 has 432 (100.0%) missing valuesMissing
휴업종료일자 has 432 (100.0%) missing valuesMissing
재개업일자 has 432 (100.0%) missing valuesMissing
전화번호 has 85 (19.7%) missing valuesMissing
소재지면적 has 432 (100.0%) missing valuesMissing
소재지우편번호 has 121 (28.0%) missing valuesMissing
도로명주소 has 38 (8.8%) missing valuesMissing
도로명우편번호 has 266 (61.6%) missing valuesMissing
업태구분명 has 432 (100.0%) missing valuesMissing
좌표정보(X) has 25 (5.8%) missing valuesMissing
좌표정보(Y) has 25 (5.8%) missing valuesMissing
제작취급품목내용 has 432 (100.0%) missing valuesMissing
시설면적 has 35 (8.1%) missing valuesMissing
비상계단여부 has 432 (100.0%) missing valuesMissing
비상구여부 has 432 (100.0%) missing valuesMissing
자동환기여부 has 432 (100.0%) missing valuesMissing
청소년실여부 has 432 (100.0%) missing valuesMissing
특수조명여부 has 432 (100.0%) missing valuesMissing
방음시설여부 has 432 (100.0%) missing valuesMissing
비디오재생기명 has 432 (100.0%) missing valuesMissing
조명시설유무 has 432 (100.0%) missing valuesMissing
음향시설여부 has 432 (100.0%) missing valuesMissing
편의시설여부 has 432 (100.0%) missing valuesMissing
소방시설여부 has 432 (100.0%) missing valuesMissing
기존게임업외업종명 has 432 (100.0%) missing valuesMissing
제공게임물명 has 432 (100.0%) missing valuesMissing
공연장형태구분명 has 432 (100.0%) missing valuesMissing
품목명 has 432 (100.0%) missing valuesMissing
최초등록시점 has 432 (100.0%) missing valuesMissing
지역구분명 has 424 (98.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 357 (82.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:51:35.122411
Analysis finished2024-05-11 05:51:36.191226
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3180000
432 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 432
100.0%

Length

2024-05-11T14:51:36.285124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:36.435674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 432
100.0%

관리번호
Text

UNIQUE 

Distinct432
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:51:36.754596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8640
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

Unique432 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001963000001
2nd rowCDFG1252001964000001
3rd rowCDFG1252001964000002
4th rowCDFG1252001965000001
5th rowCDFG1252001968000001
ValueCountFrequency (%)
cdfg1252001963000001 1
 
0.2%
cdfg1252002011000007 1
 
0.2%
cdfg1252002012000002 1
 
0.2%
cdfg1252002012000001 1
 
0.2%
cdfg1252002011000019 1
 
0.2%
cdfg1252002011000017 1
 
0.2%
cdfg1252002011000016 1
 
0.2%
cdfg1252002011000015 1
 
0.2%
cdfg1252002011000013 1
 
0.2%
cdfg1252002011000012 1
 
0.2%
Other values (422) 422
97.7%
2024-05-11T14:51:37.285227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3470
40.2%
2 1407
16.3%
1 851
 
9.8%
5 513
 
5.9%
C 432
 
5.0%
D 432
 
5.0%
F 432
 
5.0%
G 432
 
5.0%
9 178
 
2.1%
3 117
 
1.4%
Other values (4) 376
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6912
80.0%
Uppercase Letter 1728
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3470
50.2%
2 1407
20.4%
1 851
 
12.3%
5 513
 
7.4%
9 178
 
2.6%
3 117
 
1.7%
4 107
 
1.5%
8 97
 
1.4%
6 89
 
1.3%
7 83
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 432
25.0%
D 432
25.0%
F 432
25.0%
G 432
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6912
80.0%
Latin 1728
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3470
50.2%
2 1407
20.4%
1 851
 
12.3%
5 513
 
7.4%
9 178
 
2.6%
3 117
 
1.7%
4 107
 
1.5%
8 97
 
1.4%
6 89
 
1.3%
7 83
 
1.2%
Latin
ValueCountFrequency (%)
C 432
25.0%
D 432
25.0%
F 432
25.0%
G 432
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3470
40.2%
2 1407
16.3%
1 851
 
9.8%
5 513
 
5.9%
C 432
 
5.0%
D 432
 
5.0%
F 432
 
5.0%
G 432
 
5.0%
9 178
 
2.1%
3 117
 
1.4%
Other values (4) 376
 
4.4%

인허가일자
Date

Distinct412
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1963-06-17 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T14:51:37.503176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:37.741762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
326 
3
86 
4
 
15
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 326
75.5%
3 86
 
19.9%
4 15
 
3.5%
5 5
 
1.2%

Length

2024-05-11T14:51:37.941909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:38.093814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 326
75.5%
3 86
 
19.9%
4 15
 
3.5%
5 5
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
326 
폐업
86 
취소/말소/만료/정지/중지
 
15
제외/삭제/전출
 
5

Length

Max length14
Median length5
Mean length4.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 326
75.5%
폐업 86
 
19.9%
취소/말소/만료/정지/중지 15
 
3.5%
제외/삭제/전출 5
 
1.2%

Length

2024-05-11T14:51:38.266346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:38.433165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 326
75.5%
폐업 86
 
19.9%
취소/말소/만료/정지/중지 15
 
3.5%
제외/삭제/전출 5
 
1.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.664352
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:51:38.600265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.456925
Coefficient of variation (CV)0.46782925
Kurtosis4.1772093
Mean11.664352
Median Absolute Deviation (MAD)0
Skewness0.83017284
Sum5039
Variance29.77803
MonotonicityNot monotonic
2024-05-11T14:51:38.779392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 326
75.5%
3 86
 
19.9%
31 13
 
3.0%
15 5
 
1.2%
35 1
 
0.2%
30 1
 
0.2%
ValueCountFrequency (%)
3 86
 
19.9%
13 326
75.5%
15 5
 
1.2%
30 1
 
0.2%
31 13
 
3.0%
35 1
 
0.2%
ValueCountFrequency (%)
35 1
 
0.2%
31 13
 
3.0%
30 1
 
0.2%
15 5
 
1.2%
13 326
75.5%
3 86
 
19.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업중
326 
폐업
86 
등록취소
 
13
전출
 
5
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8240741
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 326
75.5%
폐업 86
 
19.9%
등록취소 13
 
3.0%
전출 5
 
1.2%
직권말소 1
 
0.2%
허가취소 1
 
0.2%

Length

2024-05-11T14:51:39.009951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:39.226564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 326
75.5%
폐업 86
 
19.9%
등록취소 13
 
3.0%
전출 5
 
1.2%
직권말소 1
 
0.2%
허가취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct89
Distinct (%)97.8%
Missing341
Missing (%)78.9%
Memory size3.5 KiB
Minimum1997-03-29 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T14:51:39.465568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:39.723158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

전화번호
Text

MISSING 

Distinct331
Distinct (%)95.4%
Missing85
Missing (%)19.7%
Memory size3.5 KiB
2024-05-11T14:51:40.116582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.262248
Min length8

Characters and Unicode

Total characters3561
Distinct characters14
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

Unique316 ?
Unique (%)91.1%

Sample

1st row2634-4393
2nd row678-6480
3rd row2633-5739
4th row2631-5789
5th row2633-1088
ValueCountFrequency (%)
02-2164-3000 3
 
0.9%
02-738-2221 2
 
0.6%
2164-2688 2
 
0.6%
1588-6745 2
 
0.6%
832-3363 2
 
0.6%
675-7402 2
 
0.6%
2671-8845 2
 
0.6%
02-2063-3770 2
 
0.6%
2671-6285 2
 
0.6%
2164-2070 2
 
0.6%
Other values (321) 326
93.9%
2024-05-11T14:51:40.714714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 560
15.7%
- 486
13.6%
0 411
11.5%
6 394
11.1%
3 320
9.0%
7 317
8.9%
1 251
7.0%
8 218
 
6.1%
4 217
 
6.1%
5 216
 
6.1%
Other values (4) 171
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3036
85.3%
Dash Punctuation 486
 
13.6%
Close Punctuation 34
 
1.0%
Math Symbol 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 560
18.4%
0 411
13.5%
6 394
13.0%
3 320
10.5%
7 317
10.4%
1 251
8.3%
8 218
 
7.2%
4 217
 
7.1%
5 216
 
7.1%
9 132
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 486
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3561
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 560
15.7%
- 486
13.6%
0 411
11.5%
6 394
11.1%
3 320
9.0%
7 317
8.9%
1 251
7.0%
8 218
 
6.1%
4 217
 
6.1%
5 216
 
6.1%
Other values (4) 171
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 560
15.7%
- 486
13.6%
0 411
11.5%
6 394
11.1%
3 320
9.0%
7 317
8.9%
1 251
7.0%
8 218
 
6.1%
4 217
 
6.1%
5 216
 
6.1%
Other values (4) 171
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

소재지우편번호
Text

MISSING 

Distinct81
Distinct (%)26.0%
Missing121
Missing (%)28.0%
Memory size3.5 KiB
2024-05-11T14:51:41.117700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0064309
Min length6

Characters and Unicode

Total characters1868
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)13.2%

Sample

1st row150103
2nd row150045
3rd row150801
4th row150808
5th row150809
ValueCountFrequency (%)
150034 75
24.1%
150091 50
16.1%
150103 18
 
5.8%
150866 10
 
3.2%
150106 8
 
2.6%
150805 6
 
1.9%
150042 6
 
1.9%
150102 6
 
1.9%
150037 5
 
1.6%
150834 5
 
1.6%
Other values (71) 122
39.2%
2024-05-11T14:51:41.742944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 563
30.1%
1 424
22.7%
5 336
18.0%
3 137
 
7.3%
4 110
 
5.9%
8 102
 
5.5%
9 87
 
4.7%
6 53
 
2.8%
7 29
 
1.6%
2 25
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1866
99.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 563
30.2%
1 424
22.7%
5 336
18.0%
3 137
 
7.3%
4 110
 
5.9%
8 102
 
5.5%
9 87
 
4.7%
6 53
 
2.8%
7 29
 
1.6%
2 25
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1868
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 563
30.1%
1 424
22.7%
5 336
18.0%
3 137
 
7.3%
4 110
 
5.9%
8 102
 
5.5%
9 87
 
4.7%
6 53
 
2.8%
7 29
 
1.6%
2 25
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 563
30.1%
1 424
22.7%
5 336
18.0%
3 137
 
7.3%
4 110
 
5.9%
8 102
 
5.5%
9 87
 
4.7%
6 53
 
2.8%
7 29
 
1.6%
2 25
 
1.3%

지번주소
Text

Distinct254
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:51:42.043910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length29.081019
Min length19

Characters and Unicode

Total characters12563
Distinct characters200
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)48.8%

Sample

1st row서울특별시 영등포구 양평동*가 **번지
2nd row서울특별시 영등포구 당산동*가 *-*번지
3rd row서울특별시 영등포구 당산동*가 ***-*번지
4th row서울특별시 영등포구 당산동*가 ***-***번지
5th row서울특별시 영등포구 당산동*가 ***-*번지 그린빌***
ValueCountFrequency (%)
서울특별시 432
19.9%
영등포구 431
19.8%
번지 368
16.9%
호 128
 
5.9%
문래동*가 117
 
5.4%
영등포동*가 115
 
5.3%
양평동*가 81
 
3.7%
73
 
3.4%
여의도동 49
 
2.3%
센터플러스 48
 
2.2%
Other values (137) 333
15.3%
2024-05-11T14:51:42.539947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2363
18.8%
2059
16.4%
영 564
 
4.5%
포 552
 
4.4%
등 551
 
4.4%
동 458
 
3.6%
시 440
 
3.5%
서 436
 
3.5%
구 433
 
3.4%
울 432
 
3.4%
Other values (190) 4275
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7750
61.7%
Other Punctuation 2390
 
19.0%
Space Separator 2059
 
16.4%
Dash Punctuation 267
 
2.1%
Uppercase Letter 45
 
0.4%
Lowercase Letter 27
 
0.2%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 564
 
7.3%
포 552
 
7.1%
등 551
 
7.1%
동 458
 
5.9%
시 440
 
5.7%
서 436
 
5.6%
구 433
 
5.6%
울 432
 
5.6%
별 432
 
5.6%
특 432
 
5.6%
Other values (157) 3020
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 23
51.1%
K 5
 
11.1%
S 5
 
11.1%
V 4
 
8.9%
M 2
 
4.4%
A 1
 
2.2%
E 1
 
2.2%
C 1
 
2.2%
Z 1
 
2.2%
I 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
29.6%
b 4
14.8%
t 3
 
11.1%
r 3
 
11.1%
n 3
 
11.1%
c 3
 
11.1%
w 1
 
3.7%
z 1
 
3.7%
i 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 2363
98.9%
, 21
 
0.9%
. 4
 
0.2%
＆ 1
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
2 1
20.0%
1 1
20.0%
５ 1
20.0%
Space Separator
ValueCountFrequency (%)
2059
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7747
61.7%
Common 4741
37.7%
Latin 72
 
0.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 564
 
7.3%
포 552
 
7.1%
등 551
 
7.1%
동 458
 
5.9%
시 440
 
5.7%
서 436
 
5.6%
구 433
 
5.6%
울 432
 
5.6%
별 432
 
5.6%
특 432
 
5.6%
Other values (154) 3017
38.9%
Latin
ValueCountFrequency (%)
B 23
31.9%
e 8
 
11.1%
K 5
 
6.9%
S 5
 
6.9%
V 4
 
5.6%
b 4
 
5.6%
t 3
 
4.2%
r 3
 
4.2%
n 3
 
4.2%
c 3
 
4.2%
Other values (10) 11
15.3%
Common
ValueCountFrequency (%)
* 2363
49.8%
2059
43.4%
- 267
 
5.6%
, 21
 
0.4%
( 10
 
0.2%
) 10
 
0.2%
. 4
 
0.1%
4 2
 
< 0.1%
＆ 1
 
< 0.1%
2 1
 
< 0.1%
Other values (3) 3
 
0.1%
Han
ValueCountFrequency (%)
騁 1
33.3%
樣 1
33.3%
狗 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7747
61.7%
ASCII 4811
38.3%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2363
49.1%
2059
42.8%
- 267
 
5.5%
B 23
 
0.5%
, 21
 
0.4%
( 10
 
0.2%
) 10
 
0.2%
e 8
 
0.2%
K 5
 
0.1%
S 5
 
0.1%
Other values (21) 40
 
0.8%
Hangul
ValueCountFrequency (%)
영 564
 
7.3%
포 552
 
7.1%
등 551
 
7.1%
동 458
 
5.9%
시 440
 
5.7%
서 436
 
5.6%
구 433
 
5.6%
울 432
 
5.6%
별 432
 
5.6%
특 432
 
5.6%
Other values (154) 3017
38.9%
None
ValueCountFrequency (%)
＆ 1
50.0%
５ 1
50.0%
CJK
ValueCountFrequency (%)
騁 1
33.3%
樣 1
33.3%
狗 1
33.3%

도로명주소
Text

MISSING 

Distinct295
Distinct (%)74.9%
Missing38
Missing (%)8.8%
Memory size3.5 KiB
2024-05-11T14:51:42.922134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length36.13198
Min length24

Characters and Unicode

Total characters14236
Distinct characters219
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)64.0%

Sample

1st row서울특별시 영등포구 선유로**가길 ** (양평동*가)
2nd row서울특별시 영등포구 당산로 *** (당산동*가)
3rd row서울특별시 영등포구 당산로**길 * (당산동*가)
4th row서울특별시 영등포구 당산로 ***, ***호 (당산동*가, 그린빌)
5th row서울특별시 영등포구 양평로**길 ** (양평동*가)
ValueCountFrequency (%)
408
17.1%
서울특별시 394
16.5%
영등포구 394
16.5%
호 148
 
6.2%
영등포동*가 80
 
3.4%
경인로**길 79
 
3.3%
문래동*가 71
 
3.0%
양평동*가 61
 
2.6%
영신로**길 56
 
2.4%
층 55
 
2.3%
Other values (239) 635
26.7%
2024-05-11T14:51:43.485548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2482
17.4%
2184
 
15.3%
영 593
 
4.2%
포 520
 
3.7%
등 519
 
3.6%
동 415
 
2.9%
서 407
 
2.9%
시 402
 
2.8%
) 397
 
2.8%
( 397
 
2.8%
Other values (209) 5920
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8208
57.7%
Other Punctuation 2825
 
19.8%
Space Separator 2184
 
15.3%
Close Punctuation 397
 
2.8%
Open Punctuation 397
 
2.8%
Dash Punctuation 132
 
0.9%
Uppercase Letter 53
 
0.4%
Lowercase Letter 33
 
0.2%
Decimal Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 593
 
7.2%
포 520
 
6.3%
등 519
 
6.3%
동 415
 
5.1%
서 407
 
5.0%
시 402
 
4.9%
로 396
 
4.8%
구 395
 
4.8%
특 394
 
4.8%
별 394
 
4.8%
Other values (173) 3773
46.0%
Uppercase Letter
ValueCountFrequency (%)
B 25
47.2%
S 7
 
13.2%
K 6
 
11.3%
V 5
 
9.4%
M 2
 
3.8%
A 2
 
3.8%
L 1
 
1.9%
E 1
 
1.9%
C 1
 
1.9%
Z 1
 
1.9%
Other values (2) 2
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
30.3%
c 4
 
12.1%
b 4
 
12.1%
t 4
 
12.1%
r 4
 
12.1%
n 4
 
12.1%
i 1
 
3.0%
z 1
 
3.0%
w 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
0 1
14.3%
8 1
14.3%
7 1
14.3%
1 1
14.3%
５ 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 2482
87.9%
, 337
 
11.9%
. 4
 
0.1%
＆ 1
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 397
100.0%
Open Punctuation
ValueCountFrequency (%)
( 397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8205
57.6%
Common 5942
41.7%
Latin 86
 
0.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 593
 
7.2%
포 520
 
6.3%
등 519
 
6.3%
동 415
 
5.1%
서 407
 
5.0%
시 402
 
4.9%
로 396
 
4.8%
구 395
 
4.8%
특 394
 
4.8%
별 394
 
4.8%
Other values (170) 3770
45.9%
Latin
ValueCountFrequency (%)
B 25
29.1%
e 10
 
11.6%
S 7
 
8.1%
K 6
 
7.0%
V 5
 
5.8%
c 4
 
4.7%
b 4
 
4.7%
t 4
 
4.7%
r 4
 
4.7%
n 4
 
4.7%
Other values (11) 13
15.1%
Common
ValueCountFrequency (%)
* 2482
41.8%
2184
36.8%
) 397
 
6.7%
( 397
 
6.7%
, 337
 
5.7%
- 132
 
2.2%
. 4
 
0.1%
6 2
 
< 0.1%
0 1
 
< 0.1%
8 1
 
< 0.1%
Other values (5) 5
 
0.1%
Han
ValueCountFrequency (%)
樣 1
33.3%
狗 1
33.3%
騁 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8205
57.6%
ASCII 6026
42.3%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2482
41.2%
2184
36.2%
) 397
 
6.6%
( 397
 
6.6%
, 337
 
5.6%
- 132
 
2.2%
B 25
 
0.4%
e 10
 
0.2%
S 7
 
0.1%
K 6
 
0.1%
Other values (24) 49
 
0.8%
Hangul
ValueCountFrequency (%)
영 593
 
7.2%
포 520
 
6.3%
등 519
 
6.3%
동 415
 
5.1%
서 407
 
5.0%
시 402
 
4.9%
로 396
 
4.8%
구 395
 
4.8%
특 394
 
4.8%
별 394
 
4.8%
Other values (170) 3770
45.9%
None
ValueCountFrequency (%)
＆ 1
50.0%
５ 1
50.0%
CJK
ValueCountFrequency (%)
樣 1
33.3%
狗 1
33.3%
騁 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)40.4%
Missing266
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean46058.819
Minimum7202
Maximum150954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:51:43.759270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7207
Q17264.5
median7333
Q3150034
95-th percentile150803.25
Maximum150954
Range143752
Interquartile range (IQR)142769.5

Descriptive statistics

Standard deviation63757.172
Coefficient of variation (CV)1.3842555
Kurtosis-0.93099543
Mean46058.819
Median Absolute Deviation (MAD)85
Skewness1.0393864
Sum7645764
Variance4.064977 × 109
MonotonicityNot monotonic
2024-05-11T14:51:44.019023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7371 27
 
6.2%
7301 18
 
4.2%
150091 17
 
3.9%
150034 10
 
2.3%
7333 6
 
1.4%
7238 5
 
1.2%
7208 4
 
0.9%
7217 4
 
0.9%
7207 4
 
0.9%
7222 3
 
0.7%
Other values (57) 68
 
15.7%
(Missing) 266
61.6%
ValueCountFrequency (%)
7202 1
 
0.2%
7205 3
0.7%
7206 2
0.5%
7207 4
0.9%
7208 4
0.9%
7210 1
 
0.2%
7212 1
 
0.2%
7213 1
 
0.2%
7217 4
0.9%
7220 1
 
0.2%
ValueCountFrequency (%)
150954 1
0.2%
150903 1
0.2%
150895 1
0.2%
150866 1
0.2%
150834 1
0.2%
150833 1
0.2%
150815 1
0.2%
150809 1
0.2%
150805 1
0.2%
150798 1
0.2%

사업장명
Text

Distinct424
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:51:44.453489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length6.8912037
Min length2

Characters and Unicode

Total characters2977
Distinct characters337
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)96.3%

Sample

1st row(주)대한미술
2nd row(주)보진재
3rd row강남인쇄사
4th row한샘문화
5th row서일인쇄사
ValueCountFrequency (%)
주식회사 30
 
5.9%
대유기획인쇄 3
 
0.6%
프린팅 3
 
0.6%
주 3
 
0.6%
예문사 2
 
0.4%
영화인쇄(주 2
 
0.4%
미디어 2
 
0.4%
컴퍼니 2
 
0.4%
사단법인 2
 
0.4%
태광인쇄사 2
 
0.4%
Other values (449) 454
89.9%
2024-05-11T14:51:45.125744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 159
 
5.3%
인 156
 
5.2%
) 135
 
4.5%
( 133
 
4.5%
사 116
 
3.9%
쇄 108
 
3.6%
76
 
2.6%
이 59
 
2.0%
화 56
 
1.9%
디 52
 
1.7%
Other values (327) 1927
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2529
85.0%
Close Punctuation 135
 
4.5%
Open Punctuation 133
 
4.5%
Uppercase Letter 79
 
2.7%
Space Separator 76
 
2.6%
Lowercase Letter 14
 
0.5%
Other Punctuation 8
 
0.3%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 159
 
6.3%
인 156
 
6.2%
사 116
 
4.6%
쇄 108
 
4.3%
이 59
 
2.3%
화 56
 
2.2%
디 52
 
2.1%
문 49
 
1.9%
스 47
 
1.9%
회 43
 
1.7%
Other values (290) 1684
66.6%
Uppercase Letter
ValueCountFrequency (%)
P 15
19.0%
N 10
12.7%
D 9
11.4%
S 7
8.9%
C 5
 
6.3%
I 5
 
6.3%
A 4
 
5.1%
K 3
 
3.8%
G 3
 
3.8%
U 3
 
3.8%
Other values (9) 15
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
14.3%
n 2
14.3%
o 2
14.3%
f 2
14.3%
t 1
7.1%
i 1
7.1%
m 1
7.1%
l 1
7.1%
s 1
7.1%
w 1
7.1%
Other Punctuation
ValueCountFrequency (%)
& 7
87.5%
. 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2529
85.0%
Common 355
 
11.9%
Latin 93
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 159
 
6.3%
인 156
 
6.2%
사 116
 
4.6%
쇄 108
 
4.3%
이 59
 
2.3%
화 56
 
2.2%
디 52
 
2.1%
문 49
 
1.9%
스 47
 
1.9%
회 43
 
1.7%
Other values (290) 1684
66.6%
Latin
ValueCountFrequency (%)
P 15
16.1%
N 10
 
10.8%
D 9
 
9.7%
S 7
 
7.5%
C 5
 
5.4%
I 5
 
5.4%
A 4
 
4.3%
K 3
 
3.2%
G 3
 
3.2%
U 3
 
3.2%
Other values (19) 29
31.2%
Common
ValueCountFrequency (%)
) 135
38.0%
( 133
37.5%
76
21.4%
& 7
 
2.0%
2 1
 
0.3%
1 1
 
0.3%
. 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2529
85.0%
ASCII 448
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 159
 
6.3%
인 156
 
6.2%
사 116
 
4.6%
쇄 108
 
4.3%
이 59
 
2.3%
화 56
 
2.2%
디 52
 
2.1%
문 49
 
1.9%
스 47
 
1.9%
회 43
 
1.7%
Other values (290) 1684
66.6%
ASCII
ValueCountFrequency (%)
) 135
30.1%
( 133
29.7%
76
17.0%
P 15
 
3.3%
N 10
 
2.2%
D 9
 
2.0%
& 7
 
1.6%
S 7
 
1.6%
C 5
 
1.1%
I 5
 
1.1%
Other values (27) 46
 
10.3%

최종수정일자
Date

Distinct372
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2003-04-18 15:28:47
Maximum2024-04-25 16:18:46
2024-05-11T14:51:45.335717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:45.551799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
366 
U
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 366
84.7%
U 66
 
15.3%

Length

2024-05-11T14:51:45.760460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:45.907210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 366
84.7%
u 66
 
15.3%

데이터갱신일자
Date

Distinct96
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T14:51:46.056419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:46.307693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)55.3%
Missing25
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean191189.72
Minimum189552.02
Maximum194561.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:51:46.557953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189552.02
5-th percentile190053.9
Q1190743.35
median190996.36
Q3191319.69
95-th percentile193382.17
Maximum194561.75
Range5009.7243
Interquartile range (IQR)576.34039

Descriptive statistics

Standard deviation921.96356
Coefficient of variation (CV)0.0048222444
Kurtosis1.7959088
Mean191189.72
Median Absolute Deviation (MAD)313.6492
Skewness1.3805237
Sum77814216
Variance850016.8
MonotonicityNot monotonic
2024-05-11T14:51:46.794501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190828.268143013 76
 
17.6%
191300.685067668 7
 
1.6%
191263.950943632 7
 
1.6%
191280.955845751 5
 
1.2%
190996.357288859 5
 
1.2%
190522.614008407 5
 
1.2%
190511.981168186 5
 
1.2%
191295.065308113 4
 
0.9%
190941.054351896 4
 
0.9%
190220.521113024 4
 
0.9%
Other values (215) 285
66.0%
(Missing) 25
 
5.8%
ValueCountFrequency (%)
189552.021760333 1
0.2%
189600.341227589 1
0.2%
189667.63984485 1
0.2%
189672.288136995 1
0.2%
189700.355755718 1
0.2%
189721.341115554 1
0.2%
189734.544016734 2
0.5%
189841.903697187 1
0.2%
189849.410292461 2
0.5%
189859.071768836 1
0.2%
ValueCountFrequency (%)
194561.746032498 1
0.2%
194084.264051974 1
0.2%
193948.467449563 1
0.2%
193861.272368256 1
0.2%
193839.302798329 2
0.5%
193818.18014 2
0.5%
193767.829589155 1
0.2%
193765.78367653 1
0.2%
193759.905718841 1
0.2%
193678.695372375 2
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)55.3%
Missing25
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean446544.83
Minimum442756.53
Maximum448994.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:51:47.373570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442756.53
5-th percentile445548.8
Q1445840.23
median446321.44
Q3447257.58
95-th percentile448392.96
Maximum448994.03
Range6237.4941
Interquartile range (IQR)1417.3544

Descriptive statistics

Standard deviation1064.6183
Coefficient of variation (CV)0.0023841242
Kurtosis0.81350352
Mean446544.83
Median Absolute Deviation (MAD)772.63997
Skewness-0.099594185
Sum1.8174375 × 108
Variance1133412.2
MonotonicityNot monotonic
2024-05-11T14:51:47.603152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445548.79737092 76
 
17.6%
446312.054109807 7
 
1.6%
446392.305909332 7
 
1.6%
446259.907882185 5
 
1.2%
445841.377603245 5
 
1.2%
446846.651845537 5
 
1.2%
447874.915906284 5
 
1.2%
446253.79518354 4
 
0.9%
447628.862085473 4
 
0.9%
448764.058474319 4
 
0.9%
Other values (215) 285
66.0%
(Missing) 25
 
5.8%
ValueCountFrequency (%)
442756.531513655 1
0.2%
442947.575298278 1
0.2%
443035.744665571 1
0.2%
443391.874092209 1
0.2%
443578.565673887 1
0.2%
443613.111599803 1
0.2%
443826.836127206 1
0.2%
443832.987280584 1
0.2%
443840.519161321 1
0.2%
443892.88621353 1
0.2%
ValueCountFrequency (%)
448994.02565225 2
0.5%
448906.42052912 1
 
0.2%
448871.733893544 1
 
0.2%
448827.040748715 1
 
0.2%
448800.74010574 2
0.5%
448764.058474319 4
0.9%
448747.678093304 2
0.5%
448642.112414847 3
0.7%
448618.587308851 1
 
0.2%
448548.48004759 2
0.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
인쇄사
397 
<NA>
 
35

Length

Max length4
Median length3
Mean length3.0810185
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:47.811623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:47.962563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 397
91.9%
na 35
 
8.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
출판인쇄업
397 
<NA>
 
35

Length

Max length5
Median length5
Mean length4.9189815
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:48.143080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:48.350611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 397
91.9%
na 35
 
8.1%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
393 
<NA>
 
35
1
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 393
91.0%
<NA> 35
 
8.1%
1 3
 
0.7%
4 1
 
0.2%

Length

2024-05-11T14:51:48.526097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:48.755816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 393
91.0%
na 35
 
8.1%
1 3
 
0.7%
4 1
 
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
429 
기타
 
3

Length

Max length4
Median length4
Mean length3.9861111
Min length2

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> 429
99.3%
기타 3
 
0.7%

Length

2024-05-11T14:51:48.953359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:49.129536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 429
99.3%
기타 3
 
0.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)10.1%
Missing35
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean10.544207
Minimum0
Maximum797.07
Zeros357
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:51:49.297247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66.102
Maximum797.07
Range797.07
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.46179
Coefficient of variation (CV)4.8805749
Kurtosis143.41733
Mean10.544207
Median Absolute Deviation (MAD)0
Skewness10.455211
Sum4186.05
Variance2648.3158
MonotonicityNot monotonic
2024-05-11T14:51:49.494621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 357
82.6%
60.0 2
 
0.5%
797.07 1
 
0.2%
63.7 1
 
0.2%
195.75 1
 
0.2%
24.0 1
 
0.2%
66.11 1
 
0.2%
99.17 1
 
0.2%
48.99 1
 
0.2%
50.69 1
 
0.2%
Other values (30) 30
 
6.9%
(Missing) 35
 
8.1%
ValueCountFrequency (%)
0.0 357
82.6%
6.3 1
 
0.2%
20.0 1
 
0.2%
24.0 1
 
0.2%
28.29 1
 
0.2%
33.0 1
 
0.2%
43.81 1
 
0.2%
48.5 1
 
0.2%
48.99 1
 
0.2%
49.71 1
 
0.2%
ValueCountFrequency (%)
797.07 1
0.2%
323.74 1
0.2%
254.78 1
0.2%
225.0 1
0.2%
195.75 1
0.2%
150.0 1
0.2%
145.0 1
0.2%
136.04 1
0.2%
104.75 1
0.2%
99.17 1
0.2%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
388 
<NA>
 
35
1
 
6
3
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 388
89.8%
<NA> 35
 
8.1%
1 6
 
1.4%
3 1
 
0.2%
5 1
 
0.2%
8 1
 
0.2%

Length

2024-05-11T14:51:49.695767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:49.846596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 388
89.8%
na 35
 
8.1%
1 6
 
1.4%
3 1
 
0.2%
5 1
 
0.2%
8 1
 
0.2%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
394 
<NA>
 
35
1
 
3

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 394
91.2%
<NA> 35
 
8.1%
1 3
 
0.7%

Length

2024-05-11T14:51:50.043455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.197834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 394
91.2%
na 35
 
8.1%
1 3
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
413 
근린생활시설
 
16
기타
 
1
사무실
 
1
생산시설
 
1

Length

Max length6
Median length4
Mean length4.0671296
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 413
95.6%
근린생활시설 16
 
3.7%
기타 1
 
0.2%
사무실 1
 
0.2%
생산시설 1
 
0.2%

Length

2024-05-11T14:51:50.368740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.587511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 413
95.6%
근린생활시설 16
 
3.7%
기타 1
 
0.2%
사무실 1
 
0.2%
생산시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
397 
<NA>
 
35

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:50.786014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.983785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
91.9%
na 35
 
8.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
397 
<NA>
 
35

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:51.173897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.327085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
91.9%
na 35
 
8.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
397 
<NA>
 
35

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:51.492479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.655130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
91.9%
na 35
 
8.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
397 
<NA>
 
35

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:51.839406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.991236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
91.9%
na 35
 
8.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
397 
<NA>
 
35

Length

Max length4
Median length1
Mean length1.2430556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 397
91.9%
<NA> 35
 
8.1%

Length

2024-05-11T14:51:52.177013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:52.342993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
91.9%
na 35
 
8.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

지역구분명
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing424
Missing (%)98.1%
Memory size3.5 KiB
2024-05-11T14:51:52.515661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.125
Min length4

Characters and Unicode

Total characters41
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)25.0%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row상업지역
4th row상업지역
5th row근린상업지역
ValueCountFrequency (%)
근린상업지역 4
50.0%
상업지역 2
25.0%
공업지역 1
 
12.5%
준주거지역 1
 
12.5%
2024-05-11T14:51:52.851796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 8
19.5%
역 8
19.5%
업 7
17.1%
상 6
14.6%
근 4
9.8%
린 4
9.8%
공 1
 
2.4%
준 1
 
2.4%
주 1
 
2.4%
거 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8
19.5%
역 8
19.5%
업 7
17.1%
상 6
14.6%
근 4
9.8%
린 4
9.8%
공 1
 
2.4%
준 1
 
2.4%
주 1
 
2.4%
거 1
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8
19.5%
역 8
19.5%
업 7
17.1%
상 6
14.6%
근 4
9.8%
린 4
9.8%
공 1
 
2.4%
준 1
 
2.4%
주 1
 
2.4%
거 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 8
19.5%
역 8
19.5%
업 7
17.1%
상 6
14.6%
근 4
9.8%
린 4
9.8%
공 1
 
2.4%
준 1
 
2.4%
주 1
 
2.4%
거 1
 
2.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFG125200196300000119630617<NA>1영업/정상13영업중<NA><NA><NA><NA>2634-4393<NA>150103서울특별시 영등포구 양평동*가 **번지서울특별시 영등포구 선유로**가길 ** (양평동*가)<NA>(주)대한미술2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA>190511.981168447874.915906인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13180000CDFG125200196400000119640201<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>150045서울특별시 영등포구 당산동*가 *-*번지서울특별시 영등포구 당산로 *** (당산동*가)<NA>(주)보진재2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA>191093.875515447795.021801인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23180000CDFG125200196400000219640219<NA>1영업/정상13영업중<NA><NA><NA><NA>678-6480<NA>150801서울특별시 영등포구 당산동*가 ***-*번지서울특별시 영등포구 당산로**길 * (당산동*가)<NA>강남인쇄사2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA>190750.105695446713.469849인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33180000CDFG125200196500000119650407<NA>3폐업3폐업20001009<NA><NA><NA>2633-5739<NA>150808서울특별시 영등포구 당산동*가 ***-***번지<NA><NA>한샘문화2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43180000CDFG125200196800000119680305<NA>1영업/정상13영업중<NA><NA><NA><NA>2631-5789<NA>150809서울특별시 영등포구 당산동*가 ***-*번지 그린빌***서울특별시 영등포구 당산로 ***, ***호 (당산동*가, 그린빌)150809서일인쇄사2011-10-31 10:37:37I2018-08-31 23:59:59.0<NA>191290.122054448079.622534인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53180000CDFG125200196800000219680106<NA>3폐업3폐업19980226<NA><NA><NA><NA><NA>150033서울특별시 영등포구 영등포동*가 ***번지<NA><NA>대명인쇄사2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63180000CDFG125200197000000119700616<NA>3폐업3폐업20000417<NA><NA><NA>2633-1088<NA>150105서울특별시 영등포구 양평동*가 ***-*번지서울특별시 영등포구 양평로**길 ** (양평동*가)<NA>삼성그라비아인쇄(주)2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA>190417.056808448906.420529인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73180000CDFG125200197900000119790613<NA>3폐업3폐업20130729<NA><NA><NA>678-1019<NA>150106서울특별시 영등포구 양평동*가 **-*번지서울특별시 영등포구 양평로**다길 * (양평동*가)<NA>영화인쇄(주)2013-07-29 15:11:36I2018-08-31 23:59:59.0<NA>190257.342606448800.740106인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83180000CDFG125200197900000219790830<NA>3폐업3폐업20070703<NA><NA><NA>678-1089<NA>150091서울특별시 영등포구 문래동*가 **-*번지서울특별시 영등포구 경인로**길 * (문래동*가)<NA>동남인쇄사2007-07-03 14:03:04I2018-08-31 23:59:59.0<NA>191161.805497445748.106372인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93180000CDFG125200197900000419790601<NA>1영업/정상13영업중<NA><NA><NA><NA>2634-6472<NA>150804서울특별시 영등포구 당산동*가 ***-*번지서울특별시 영등포구 당산로**길 **-* (당산동*가)<NA>삼호인쇄사2003-04-18 15:28:47I2018-08-31 23:59:59.0<NA>190658.857368447199.310572인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4223180000CDFG125200202200000520220623<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2265-3515<NA><NA>서울특별시 영등포구 영등포동*가 **-*** 오성빌딩서울특별시 영등포구 버드나루로 **, 오성빌딩 ***호 (영등포동*가)7248주식회사 성산테크2022-06-23 12:12:00I2021-12-05 22:05:00.0<NA>192044.009477446830.448318<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>
4233180000CDFG125200202200000620220920<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2675-5151<NA><NA>서울특별시 영등포구 양평동*가 **서울특별시 영등포구 선유로 *** (양평동*가)7268동성인쇄 유한책임회사2022-09-20 15:17:34I2021-12-08 22:02:00.0<NA>190372.317517447415.800075<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>
4243180000CDFG12520020230000012023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-833-1990<NA><NA>서울특별시 영등포구 문래동*가 **-*서울특별시 영등포구 경인로**길 *-**, *층 (문래동*가)7363주식회사 인정보시스템2023-02-28 15:23:14I2022-12-03 00:03:00.0<NA>191223.601145445724.471009<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>
4253180000CDFG12520020230000022023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-338-4566<NA><NA>서울특별시 영등포구 양평동*가 **-* 설록디아망 타워서울특별시 영등포구 선유로 ***, 설록디아망 타워 *층 ***호 (양평동*가)7212카피플러스2023-03-08 17:42:10I2022-12-02 23:00:00.0<NA>190863.90717448081.867496<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>
4263180000CDFG12520020230000032023-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-784-0415<NA><NA>서울특별시 영등포구 영등포동*가 ***-**서울특별시 영등포구 영신로**길 *, 씨앤엘빌딩 지하*층 및 *,*,*층 (영등포동*가)7251주식회사 미디어엠플러스2023-07-17 14:42:25I2022-12-06 23:09:00.0<NA>191289.359878446614.985827<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>
4273180000CDFG12520020230000042023-09-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-** 맨하탄**리빙텔서울특별시 영등포구 국회대로**길 **, 맨하탄**리빙텔 **층 ****-*호 (여의도동)7238엘림이앤씨 주식회사2023-09-12 13:44:19I2022-12-08 23:04:00.0<NA>192996.536406447488.346551<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>
4283180000CDFG12520020230000052023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 ** 센터플러스서울특별시 영등포구 경인로**길 *-*, 센터플러스 *층 ***호 (문래동*가)7371주식회사 덕성미디어2023-10-27 14:34:48I2022-10-30 22:09:00.0<NA>190828.268143445548.797371<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>
4293180000CDFG12520020230000062023-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-516-3923<NA><NA>서울특별시 영등포구 양평동*가 ***서울특별시 영등포구 선유로**길 **, *층 (양평동*가)7206주식회사 피그마리온2023-11-14 10:44:58I2022-10-31 23:06:00.0<NA>190905.343889448399.407885<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>
4303180000CDFG12520020240000012024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2632-3892<NA><NA>서울특별시 영등포구 문래동*가 **-* 에이스하이테크시티*서울특별시 영등포구 선유로**길 **, 에이스하이테크시티* ***호 (문래동*가)7282주식회사 제황2024-02-19 16:41:07I2023-12-01 22:01:00.0<NA>189849.410292446314.681886<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>
4313180000CDFG12520020240000022024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2164-2070<NA><NA>서울특별시 영등포구 문래동*가 ** 센터플러스서울특별시 영등포구 경인로**길 *-*, 센터플러스 B***호 (문래동*가)7371으뜸피앤디 주식회사2024-03-15 16:12:22I2023-12-02 23:07:00.0<NA>190828.268143445548.797371<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>