Overview

Dataset statistics

Number of variables56
Number of observations742
Missing cells19425
Missing cells (%)46.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory352.3 KiB
Average record size in memory486.2 B

Variable types

Categorical16
Text6
DateTime4
Unsupported22
Numeric8

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-17385/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (58.8%)Imbalance
영업상태명 is highly imbalanced (58.8%)Imbalance
상세영업상태코드 is highly imbalanced (58.8%)Imbalance
상세영업상태명 is highly imbalanced (58.8%)Imbalance
주변환경명 is highly imbalanced (87.1%)Imbalance
건물용도명 is highly imbalanced (81.0%)Imbalance
지역구분명 is highly imbalanced (87.7%)Imbalance
인허가취소일자 has 742 (100.0%) missing valuesMissing
폐업일자 has 616 (83.0%) missing valuesMissing
휴업시작일자 has 742 (100.0%) missing valuesMissing
휴업종료일자 has 742 (100.0%) missing valuesMissing
재개업일자 has 742 (100.0%) missing valuesMissing
전화번호 has 429 (57.8%) missing valuesMissing
소재지면적 has 742 (100.0%) missing valuesMissing
소재지우편번호 has 634 (85.4%) missing valuesMissing
도로명우편번호 has 182 (24.5%) missing valuesMissing
업태구분명 has 742 (100.0%) missing valuesMissing
좌표정보(X) has 9 (1.2%) missing valuesMissing
좌표정보(Y) has 9 (1.2%) missing valuesMissing
총층수 has 239 (32.2%) missing valuesMissing
제작취급품목내용 has 259 (34.9%) missing valuesMissing
시설면적 has 239 (32.2%) missing valuesMissing
지상층수 has 239 (32.2%) missing valuesMissing
지하층수 has 239 (32.2%) missing valuesMissing
비상계단여부 has 742 (100.0%) missing valuesMissing
비상구여부 has 742 (100.0%) missing valuesMissing
자동환기여부 has 742 (100.0%) missing valuesMissing
청소년실여부 has 742 (100.0%) missing valuesMissing
특수조명여부 has 742 (100.0%) missing valuesMissing
방음시설여부 has 742 (100.0%) missing valuesMissing
비디오재생기명 has 742 (100.0%) missing valuesMissing
조명시설유무 has 742 (100.0%) missing valuesMissing
음향시설여부 has 742 (100.0%) missing valuesMissing
편의시설여부 has 742 (100.0%) missing valuesMissing
소방시설여부 has 742 (100.0%) missing valuesMissing
기존게임업외업종명 has 742 (100.0%) missing valuesMissing
제공게임물명 has 742 (100.0%) missing valuesMissing
공연장형태구분명 has 742 (100.0%) missing valuesMissing
품목명 has 742 (100.0%) missing valuesMissing
최초등록시점 has 742 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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 471 (63.5%) zerosZeros
시설면적 has 156 (21.0%) zerosZeros
지상층수 has 452 (60.9%) zerosZeros
지하층수 has 472 (63.6%) zerosZeros

Reproduction

Analysis started2024-05-11 04:09:29.691306
Analysis finished2024-05-11 04:09:32.441888
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3180000
742 

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 742
100.0%

Length

2024-05-11T04:09:32.710421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:33.141133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 742
100.0%

관리번호
Text

UNIQUE 

Distinct742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-05-11T04:09:33.615586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters14840
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique742 ?
Unique (%)100.0%

Sample

1st rowCDFF1241072001000001
2nd rowCDFF1241072001000002
3rd rowCDFF1241072001000003
4th rowCDFF1241072001000004
5th rowCDFF1241072001000005
ValueCountFrequency (%)
cdff1241072001000001 1
 
0.1%
cdff1241072021000007 1
 
0.1%
cdff1241072020000051 1
 
0.1%
cdff1241072021000020 1
 
0.1%
cdff1241072020000052 1
 
0.1%
cdff1241072021000001 1
 
0.1%
cdff1241072021000002 1
 
0.1%
cdff1241072021000003 1
 
0.1%
cdff1241072021000004 1
 
0.1%
cdff1241072021000005 1
 
0.1%
Other values (732) 732
98.7%
2024-05-11T04:09:34.751769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4918
33.1%
2 2119
14.3%
1 2097
14.1%
F 1484
 
10.0%
4 933
 
6.3%
7 890
 
6.0%
C 742
 
5.0%
D 742
 
5.0%
3 285
 
1.9%
6 183
 
1.2%
Other values (3) 447
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11872
80.0%
Uppercase Letter 2968
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4918
41.4%
2 2119
17.8%
1 2097
17.7%
4 933
 
7.9%
7 890
 
7.5%
3 285
 
2.4%
6 183
 
1.5%
5 163
 
1.4%
9 147
 
1.2%
8 137
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 1484
50.0%
C 742
25.0%
D 742
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11872
80.0%
Latin 2968
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4918
41.4%
2 2119
17.8%
1 2097
17.7%
4 933
 
7.9%
7 890
 
7.5%
3 285
 
2.4%
6 183
 
1.5%
5 163
 
1.4%
9 147
 
1.2%
8 137
 
1.2%
Latin
ValueCountFrequency (%)
F 1484
50.0%
C 742
25.0%
D 742
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4918
33.1%
2 2119
14.3%
1 2097
14.1%
F 1484
 
10.0%
4 933
 
6.3%
7 890
 
6.0%
C 742
 
5.0%
D 742
 
5.0%
3 285
 
1.9%
6 183
 
1.2%
Other values (3) 447
 
3.0%

인허가일자
Date

Distinct655
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2001-01-29 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T04:09:35.339317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:09:35.897877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
1
615 
3
86 
5
 
40
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 615
82.9%
3 86
 
11.6%
5 40
 
5.4%
4 1
 
0.1%

Length

2024-05-11T04:09:36.512536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:36.892162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 615
82.9%
3 86
 
11.6%
5 40
 
5.4%
4 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
영업/정상
615 
폐업
86 
제외/삭제/전출
 
40
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8261456
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 615
82.9%
폐업 86
 
11.6%
제외/삭제/전출 40
 
5.4%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2024-05-11T04:09:37.216112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:37.618956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 615
82.9%
폐업 86
 
11.6%
제외/삭제/전출 40
 
5.4%
취소/말소/만료/정지/중지 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
13
615 
3
86 
15
 
40
32
 
1

Length

Max length2
Median length2
Mean length1.884097
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 615
82.9%
3 86
 
11.6%
15 40
 
5.4%
32 1
 
0.1%

Length

2024-05-11T04:09:38.020431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:38.511624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 615
82.9%
3 86
 
11.6%
15 40
 
5.4%
32 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
영업중
615 
폐업
86 
전출
 
40
신고취소
 
1

Length

Max length4
Median length3
Mean length2.8315364
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 615
82.9%
폐업 86
 
11.6%
전출 40
 
5.4%
신고취소 1
 
0.1%

Length

2024-05-11T04:09:38.946853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:39.305051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 615
82.9%
폐업 86
 
11.6%
전출 40
 
5.4%
신고취소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct117
Distinct (%)92.9%
Missing616
Missing (%)83.0%
Memory size5.9 KiB
Minimum2007-03-27 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T04:09:39.677353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:09:40.070184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

전화번호
Text

MISSING 

Distinct307
Distinct (%)98.1%
Missing429
Missing (%)57.8%
Memory size5.9 KiB
2024-05-11T04:09:40.742972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.070288
Min length7

Characters and Unicode

Total characters3465
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)96.2%

Sample

1st row02-735-0141
2nd row02-735-0141
3rd row02-763-5254
4th row02-2168-8888
5th row02-761-2663
ValueCountFrequency (%)
02-735-0141 2
 
0.6%
02-6401-0311 2
 
0.6%
02-782-5186 2
 
0.6%
02-2676-0972 2
 
0.6%
02-780-6531 2
 
0.6%
02-832-9772 2
 
0.6%
02-2057-8535 1
 
0.3%
02-6933-8988 1
 
0.3%
02-6345-6709 1
 
0.3%
02-6940-4502 1
 
0.3%
Other values (297) 297
94.9%
2024-05-11T04:09:41.880431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 561
16.2%
0 546
15.8%
2 490
14.1%
7 322
9.3%
6 276
8.0%
8 248
7.2%
3 228
6.6%
1 215
 
6.2%
5 206
 
5.9%
4 197
 
5.7%
Other values (3) 176
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2900
83.7%
Dash Punctuation 561
 
16.2%
Close Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 546
18.8%
2 490
16.9%
7 322
11.1%
6 276
9.5%
8 248
8.6%
3 228
7.9%
1 215
 
7.4%
5 206
 
7.1%
4 197
 
6.8%
9 172
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 561
16.2%
0 546
15.8%
2 490
14.1%
7 322
9.3%
6 276
8.0%
8 248
7.2%
3 228
6.6%
1 215
 
6.2%
5 206
 
5.9%
4 197
 
5.7%
Other values (3) 176
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 561
16.2%
0 546
15.8%
2 490
14.1%
7 322
9.3%
6 276
8.0%
8 248
7.2%
3 228
6.6%
1 215
 
6.2%
5 206
 
5.9%
4 197
 
5.7%
Other values (3) 176
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)39.8%
Missing634
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean150323.8
Minimum100141
Maximum150972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:09:42.366663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100141
5-th percentile150103
Q1150800
median150870
Q3150872
95-th percentile150915.3
Maximum150972
Range50831
Interquartile range (IQR)72

Descriptive statistics

Standard deviation4878.0267
Coefficient of variation (CV)0.03245013
Kurtosis107.63109
Mean150323.8
Median Absolute Deviation (MAD)25.5
Skewness-10.366128
Sum16234970
Variance23795144
MonotonicityNot monotonic
2024-05-11T04:09:42.855144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
150871 13
 
1.8%
150870 12
 
1.6%
150732 10
 
1.3%
150890 6
 
0.8%
150808 4
 
0.5%
150868 4
 
0.5%
150874 4
 
0.5%
150872 4
 
0.5%
150731 4
 
0.5%
150103 3
 
0.4%
Other values (33) 44
 
5.9%
(Missing) 634
85.4%
ValueCountFrequency (%)
100141 1
 
0.1%
150037 1
 
0.1%
150038 1
 
0.1%
150040 1
 
0.1%
150096 1
 
0.1%
150103 3
 
0.4%
150715 1
 
0.1%
150727 1
 
0.1%
150731 4
 
0.5%
150732 10
1.3%
ValueCountFrequency (%)
150972 1
 
0.1%
150947 1
 
0.1%
150933 1
 
0.1%
150918 1
 
0.1%
150916 2
 
0.3%
150914 2
 
0.3%
150896 2
 
0.3%
150895 2
 
0.3%
150891 1
 
0.1%
150890 6
0.8%

지번주소
Text

Distinct537
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-05-11T04:09:43.701700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length30.700809
Min length16

Characters and Unicode

Total characters22780
Distinct characters291
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)58.1%

Sample

1st row서울특별시 영등포구 대림동 ****-*번지 지층
2nd row서울특별시 중구 의주로*가 *-*번지
3rd row서울특별시 영등포구 문래동*가 **-*번지 메가벤처타워 *** ~ ***호
4th row서울특별시 영등포구 문래동*가 **-*번지 메가벤처타워 *층
5th row서울특별시 영등포구 여의도동 **번지 라이프콤비빌딩 ***호
ValueCountFrequency (%)
서울특별시 742
18.2%
영등포구 740
18.1%
번지 387
9.5%
354
8.7%
여의도동 323
 
7.9%
호 289
 
7.1%
양평동*가 132
 
3.2%
당산동*가 113
 
2.8%
문래동*가 75
 
1.8%
층 63
 
1.5%
Other values (368) 865
21.2%
2024-05-11T04:09:45.271113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4003
17.6%
3592
15.8%
동 844
 
3.7%
영 809
 
3.6%
포 806
 
3.5%
등 800
 
3.5%
시 769
 
3.4%
서 759
 
3.3%
울 744
 
3.3%
별 744
 
3.3%
Other values (281) 8910
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14311
62.8%
Other Punctuation 4028
 
17.7%
Space Separator 3592
 
15.8%
Dash Punctuation 545
 
2.4%
Uppercase Letter 149
 
0.7%
Lowercase Letter 85
 
0.4%
Decimal Number 42
 
0.2%
Close Punctuation 13
 
0.1%
Open Punctuation 12
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 844
 
5.9%
영 809
 
5.7%
포 806
 
5.6%
등 800
 
5.6%
시 769
 
5.4%
서 759
 
5.3%
울 744
 
5.2%
별 744
 
5.2%
구 742
 
5.2%
특 742
 
5.2%
Other values (238) 6552
45.8%
Uppercase Letter
ValueCountFrequency (%)
K 28
18.8%
S 21
14.1%
V 19
12.8%
B 11
 
7.4%
A 11
 
7.4%
E 7
 
4.7%
C 6
 
4.0%
I 6
 
4.0%
L 6
 
4.0%
P 5
 
3.4%
Other values (8) 29
19.5%
Decimal Number
ValueCountFrequency (%)
1 13
31.0%
2 6
14.3%
4 6
14.3%
3 4
 
9.5%
6 3
 
7.1%
5 3
 
7.1%
0 2
 
4.8%
9 2
 
4.8%
8 2
 
4.8%
7 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 26
30.6%
n 18
21.2%
t 13
15.3%
r 13
15.3%
c 13
15.3%
k 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
* 4003
99.4%
, 21
 
0.5%
. 3
 
0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14311
62.8%
Common 8235
36.2%
Latin 234
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 844
 
5.9%
영 809
 
5.7%
포 806
 
5.6%
등 800
 
5.6%
시 769
 
5.4%
서 759
 
5.3%
울 744
 
5.2%
별 744
 
5.2%
구 742
 
5.2%
특 742
 
5.2%
Other values (238) 6552
45.8%
Latin
ValueCountFrequency (%)
K 28
12.0%
e 26
11.1%
S 21
 
9.0%
V 19
 
8.1%
n 18
 
7.7%
t 13
 
5.6%
r 13
 
5.6%
c 13
 
5.6%
B 11
 
4.7%
A 11
 
4.7%
Other values (14) 61
26.1%
Common
ValueCountFrequency (%)
* 4003
48.6%
3592
43.6%
- 545
 
6.6%
, 21
 
0.3%
) 13
 
0.2%
1 13
 
0.2%
( 12
 
0.1%
2 6
 
0.1%
4 6
 
0.1%
3 4
 
< 0.1%
Other values (9) 20
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14311
62.8%
ASCII 8469
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4003
47.3%
3592
42.4%
- 545
 
6.4%
K 28
 
0.3%
e 26
 
0.3%
, 21
 
0.2%
S 21
 
0.2%
V 19
 
0.2%
n 18
 
0.2%
) 13
 
0.2%
Other values (33) 183
 
2.2%
Hangul
ValueCountFrequency (%)
동 844
 
5.9%
영 809
 
5.7%
포 806
 
5.6%
등 800
 
5.6%
시 769
 
5.4%
서 759
 
5.3%
울 744
 
5.2%
별 744
 
5.2%
구 742
 
5.2%
특 742
 
5.2%
Other values (238) 6552
45.8%

도로명주소
Text

Distinct614
Distinct (%)83.5%
Missing7
Missing (%)0.9%
Memory size5.9 KiB
2024-05-11T04:09:46.178665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length54
Mean length40.748299
Min length23

Characters and Unicode

Total characters29950
Distinct characters302
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)72.9%

Sample

1st row서울특별시 영등포구 대림로**길 ** (대림동,지층)
2nd row서울특별시 중구 통일로 *** (의주로*가)
3rd row서울특별시 영등포구 문래로**길 ** (문래동*가,메가벤처타워 *** ~ ***호)
4th row서울특별시 영등포구 문래로**길 ** (문래동*가,메가벤처타워 *층)
5th row서울특별시 영등포구 여의동로 ***, ***호 (여의도동,라이프콤비빌딩)
ValueCountFrequency (%)
747
14.5%
서울특별시 735
14.3%
영등포구 733
14.3%
호 505
 
9.8%
층 204
 
4.0%
여의도동 202
 
3.9%
국회대로**길 145
 
2.8%
양평동*가 123
 
2.4%
당산동*가 101
 
2.0%
문래동*가 67
 
1.3%
Other values (526) 1581
30.7%
2024-05-11T04:09:47.773315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5169
 
17.3%
4560
 
15.2%
, 999
 
3.3%
동 885
 
3.0%
영 883
 
2.9%
포 846
 
2.8%
등 838
 
2.8%
서 768
 
2.6%
시 762
 
2.5%
로 749
 
2.5%
Other values (292) 13491
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17299
57.8%
Other Punctuation 6172
 
20.6%
Space Separator 4560
 
15.2%
Close Punctuation 742
 
2.5%
Open Punctuation 741
 
2.5%
Uppercase Letter 182
 
0.6%
Dash Punctuation 101
 
0.3%
Lowercase Letter 81
 
0.3%
Decimal Number 66
 
0.2%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 885
 
5.1%
영 883
 
5.1%
포 846
 
4.9%
등 838
 
4.8%
서 768
 
4.4%
시 762
 
4.4%
로 749
 
4.3%
별 737
 
4.3%
구 736
 
4.3%
울 736
 
4.3%
Other values (248) 9359
54.1%
Uppercase Letter
ValueCountFrequency (%)
K 27
14.8%
B 22
12.1%
A 21
11.5%
V 20
11.0%
S 20
11.0%
C 11
 
6.0%
I 8
 
4.4%
P 7
 
3.8%
L 7
 
3.8%
E 7
 
3.8%
Other values (9) 32
17.6%
Decimal Number
ValueCountFrequency (%)
1 12
18.2%
0 11
16.7%
3 8
12.1%
2 7
10.6%
7 7
10.6%
6 5
7.6%
5 5
7.6%
8 4
 
6.1%
4 4
 
6.1%
9 3
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 25
30.9%
n 17
21.0%
r 13
16.0%
t 12
14.8%
c 12
14.8%
k 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
* 5169
83.7%
, 999
 
16.2%
. 3
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4560
100.0%
Close Punctuation
ValueCountFrequency (%)
) 742
100.0%
Open Punctuation
ValueCountFrequency (%)
( 741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17299
57.8%
Common 12388
41.4%
Latin 263
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 885
 
5.1%
영 883
 
5.1%
포 846
 
4.9%
등 838
 
4.8%
서 768
 
4.4%
시 762
 
4.4%
로 749
 
4.3%
별 737
 
4.3%
구 736
 
4.3%
울 736
 
4.3%
Other values (248) 9359
54.1%
Latin
ValueCountFrequency (%)
K 27
 
10.3%
e 25
 
9.5%
B 22
 
8.4%
A 21
 
8.0%
V 20
 
7.6%
S 20
 
7.6%
n 17
 
6.5%
r 13
 
4.9%
t 12
 
4.6%
c 12
 
4.6%
Other values (15) 74
28.1%
Common
ValueCountFrequency (%)
* 5169
41.7%
4560
36.8%
, 999
 
8.1%
) 742
 
6.0%
( 741
 
6.0%
- 101
 
0.8%
1 12
 
0.1%
0 11
 
0.1%
3 8
 
0.1%
2 7
 
0.1%
Other values (9) 38
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17299
57.8%
ASCII 12651
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5169
40.9%
4560
36.0%
, 999
 
7.9%
) 742
 
5.9%
( 741
 
5.9%
- 101
 
0.8%
K 27
 
0.2%
e 25
 
0.2%
B 22
 
0.2%
A 21
 
0.2%
Other values (34) 244
 
1.9%
Hangul
ValueCountFrequency (%)
동 885
 
5.1%
영 883
 
5.1%
포 846
 
4.9%
등 838
 
4.8%
서 768
 
4.4%
시 762
 
4.4%
로 749
 
4.3%
별 737
 
4.3%
구 736
 
4.3%
울 736
 
4.3%
Other values (248) 9359
54.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)20.0%
Missing182
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean7776.4589
Minimum7201
Maximum150833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:09:48.225629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7201
5-th percentile7205
Q17225.75
median7248
Q37294
95-th percentile7345
Maximum150833
Range143632
Interquartile range (IQR)68.25

Descriptive statistics

Standard deviation8569.0777
Coefficient of variation (CV)1.1019254
Kurtosis277.46689
Mean7776.4589
Median Absolute Deviation (MAD)34
Skewness16.687312
Sum4354817
Variance73429093
MonotonicityNot monotonic
2024-05-11T04:09:48.792005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7238 43
 
5.8%
7236 26
 
3.5%
7207 25
 
3.4%
7333 22
 
3.0%
7345 19
 
2.6%
7237 18
 
2.4%
7205 14
 
1.9%
7208 14
 
1.9%
7217 14
 
1.9%
7206 13
 
1.8%
Other values (102) 352
47.4%
(Missing) 182
24.5%
ValueCountFrequency (%)
7201 1
 
0.1%
7202 12
1.6%
7203 4
 
0.5%
7204 1
 
0.1%
7205 14
1.9%
7206 13
1.8%
7207 25
3.4%
7208 14
1.9%
7209 3
 
0.4%
7210 1
 
0.1%
ValueCountFrequency (%)
150833 1
0.1%
150723 1
0.1%
7528 1
0.1%
7431 1
0.1%
7413 1
0.1%
7412 1
0.1%
7410 1
0.1%
7402 1
0.1%
7392 1
0.1%
7390 1
0.1%

사업장명
Text

Distinct731
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-05-11T04:09:49.677269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length8.9743935
Min length2

Characters and Unicode

Total characters6659
Distinct characters483
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

Unique721 ?
Unique (%)97.2%

Sample

1st row우정영상프로덕션
2nd row주식회사 삼덕공사
3rd row주식회사 삼덕공사
4th row주식회사 삼덕공사
5th row(주)알앤시미디어
ValueCountFrequency (%)
주식회사 233
 
21.6%
미디어 14
 
1.3%
주 5
 
0.5%
스튜디오 5
 
0.5%
studio 4
 
0.4%
프로덕션 4
 
0.4%
사단법인 3
 
0.3%
삼덕공사 3
 
0.3%
크리에이티브 2
 
0.2%
media 2
 
0.2%
Other values (793) 805
74.5%
2024-05-11T04:09:51.047987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 513
 
7.7%
338
 
5.1%
) 305
 
4.6%
( 303
 
4.6%
사 270
 
4.1%
이 255
 
3.8%
회 244
 
3.7%
식 236
 
3.5%
스 185
 
2.8%
디 182
 
2.7%
Other values (473) 3828
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5359
80.5%
Space Separator 338
 
5.1%
Close Punctuation 305
 
4.6%
Open Punctuation 303
 
4.6%
Uppercase Letter 201
 
3.0%
Lowercase Letter 117
 
1.8%
Decimal Number 24
 
0.4%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 513
 
9.6%
사 270
 
5.0%
이 255
 
4.8%
회 244
 
4.6%
식 236
 
4.4%
스 185
 
3.5%
디 182
 
3.4%
어 156
 
2.9%
미 151
 
2.8%
리 79
 
1.5%
Other values (411) 3088
57.6%
Uppercase Letter
ValueCountFrequency (%)
M 19
 
9.5%
I 18
 
9.0%
A 17
 
8.5%
D 15
 
7.5%
T 15
 
7.5%
O 12
 
6.0%
N 11
 
5.5%
R 11
 
5.5%
C 11
 
5.5%
S 10
 
5.0%
Other values (13) 62
30.8%
Lowercase Letter
ValueCountFrequency (%)
o 14
12.0%
e 13
11.1%
a 10
 
8.5%
i 9
 
7.7%
d 8
 
6.8%
u 8
 
6.8%
n 7
 
6.0%
r 7
 
6.0%
s 6
 
5.1%
l 5
 
4.3%
Other values (12) 30
25.6%
Decimal Number
ValueCountFrequency (%)
5 8
33.3%
4 3
 
12.5%
7 3
 
12.5%
1 3
 
12.5%
2 3
 
12.5%
3 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%
0 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
& 3
30.0%
' 1
 
10.0%
, 1
 
10.0%
Space Separator
ValueCountFrequency (%)
338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5359
80.5%
Common 982
 
14.7%
Latin 318
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 513
 
9.6%
사 270
 
5.0%
이 255
 
4.8%
회 244
 
4.6%
식 236
 
4.4%
스 185
 
3.5%
디 182
 
3.4%
어 156
 
2.9%
미 151
 
2.8%
리 79
 
1.5%
Other values (411) 3088
57.6%
Latin
ValueCountFrequency (%)
M 19
 
6.0%
I 18
 
5.7%
A 17
 
5.3%
D 15
 
4.7%
T 15
 
4.7%
o 14
 
4.4%
e 13
 
4.1%
O 12
 
3.8%
N 11
 
3.5%
R 11
 
3.5%
Other values (35) 173
54.4%
Common
ValueCountFrequency (%)
338
34.4%
) 305
31.1%
( 303
30.9%
5 8
 
0.8%
. 5
 
0.5%
& 3
 
0.3%
4 3
 
0.3%
7 3
 
0.3%
1 3
 
0.3%
2 3
 
0.3%
Other values (7) 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5359
80.5%
ASCII 1300
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 513
 
9.6%
사 270
 
5.0%
이 255
 
4.8%
회 244
 
4.6%
식 236
 
4.4%
스 185
 
3.5%
디 182
 
3.4%
어 156
 
2.9%
미 151
 
2.8%
리 79
 
1.5%
Other values (411) 3088
57.6%
ASCII
ValueCountFrequency (%)
338
26.0%
) 305
23.5%
( 303
23.3%
M 19
 
1.5%
I 18
 
1.4%
A 17
 
1.3%
D 15
 
1.2%
T 15
 
1.2%
o 14
 
1.1%
e 13
 
1.0%
Other values (52) 243
18.7%

최종수정일자
Date

UNIQUE 

Distinct742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2006-02-16 14:19:48
Maximum2024-04-29 16:27:24
2024-05-11T04:09:51.638197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:09:52.248465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
I
551 
U
190 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 551
74.3%
U 190
 
25.6%
D 1
 
0.1%

Length

2024-05-11T04:09:52.777051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:53.376689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 551
74.3%
u 190
 
25.6%
d 1
 
0.1%

데이터갱신일자
Date

Distinct341
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T04:09:53.753819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:09:54.236241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct334
Distinct (%)45.6%
Missing9
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean191922.47
Minimum186501.23
Maximum197070.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:09:54.963444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186501.23
5-th percentile189959.04
Q1190642.46
median191866.61
Q3192959.27
95-th percentile194530.54
Maximum197070.62
Range10569.391
Interquartile range (IQR)2316.8083

Descriptive statistics

Standard deviation1413.5437
Coefficient of variation (CV)0.0073651812
Kurtosis-0.81211497
Mean191922.47
Median Absolute Deviation (MAD)1129.9305
Skewness0.15850357
Sum1.4067917 × 108
Variance1998105.9
MonotonicityNot monotonic
2024-05-11T04:09:55.470905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194530.535390096 26
 
3.5%
192883.820838805 15
 
2.0%
193282.654266684 12
 
1.6%
192549.197013374 11
 
1.5%
190153.128546656 11
 
1.5%
190941.054351896 11
 
1.5%
190587.567878858 10
 
1.3%
192833.96800059 10
 
1.3%
190940.034564342 9
 
1.2%
192747.419300064 9
 
1.2%
Other values (324) 609
82.1%
ValueCountFrequency (%)
186501.233192961 1
 
0.1%
189682.022243843 2
 
0.3%
189700.355755718 4
0.5%
189748.379334427 1
 
0.1%
189785.752470051 3
 
0.4%
189841.054006955 2
 
0.3%
189849.410292461 4
0.5%
189859.071768836 4
0.5%
189912.29548075 1
 
0.1%
189921.671894763 8
1.1%
ValueCountFrequency (%)
197070.624369936 1
 
0.1%
194632.526367463 1
 
0.1%
194592.276750438 5
 
0.7%
194561.746032498 7
 
0.9%
194530.535390096 26
3.5%
194504.656267957 3
 
0.4%
194056.681860495 1
 
0.1%
194028.635844427 2
 
0.3%
193983.050143557 1
 
0.1%
193948.467449563 3
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct334
Distinct (%)45.6%
Missing9
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean447043.04
Minimum442649.87
Maximum451485.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:09:56.050503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442649.87
5-th percentile445787.96
Q1446420.2
median447105.47
Q3447527.15
95-th percentile448548.48
Maximum451485.25
Range8835.3779
Interquartile range (IQR)1106.955

Descriptive statistics

Standard deviation907.02772
Coefficient of variation (CV)0.0020289494
Kurtosis2.8750929
Mean447043.04
Median Absolute Deviation (MAD)523.39243
Skewness-0.21508289
Sum3.2768255 × 108
Variance822699.28
MonotonicityNot monotonic
2024-05-11T04:09:56.539891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446306.787198089 26
 
3.5%
447484.878116314 15
 
2.0%
447611.552045596 12
 
1.6%
447167.254346903 11
 
1.5%
448779.57454276 11
 
1.5%
447628.862085473 11
 
1.5%
448642.112414847 10
 
1.3%
447548.542565698 10
 
1.3%
446461.996000435 9
 
1.2%
447054.988337321 9
 
1.2%
Other values (324) 609
82.1%
ValueCountFrequency (%)
442649.873938101 1
0.1%
443340.889968925 2
0.3%
443689.545421548 1
0.1%
443896.684487073 1
0.1%
444052.358631444 1
0.1%
444116.036858351 1
0.1%
444222.339591538 1
0.1%
444241.0 1
0.1%
444316.086807958 1
0.1%
444324.304089932 1
0.1%
ValueCountFrequency (%)
451485.251875922 1
 
0.1%
451473.160485478 1
 
0.1%
449056.237800073 1
 
0.1%
448891.507220778 1
 
0.1%
448871.733893544 1
 
0.1%
448779.57454276 11
1.5%
448724.279518461 1
 
0.1%
448688.063338724 1
 
0.1%
448677.724523524 1
 
0.1%
448656.726986041 1
 
0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
비디오물제작업
503 
<NA>
239 

Length

Max length7
Median length7
Mean length6.0336927
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:09:57.040455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:57.550248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 503
67.8%
na 239
32.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
623 
유통관련업
119 

Length

Max length5
Median length4
Mean length4.1603774
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 623
84.0%
유통관련업 119
 
16.0%

Length

2024-05-11T04:09:57.933866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:09:58.369799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 623
84.0%
유통관련업 119
 
16.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)3.8%
Missing239
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean0.87872763
Minimum0
Maximum29
Zeros471
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:09:58.699299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.8
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7292861
Coefficient of variation (CV)4.2439613
Kurtosis23.389
Mean0.87872763
Median Absolute Deviation (MAD)0
Skewness4.7035262
Sum442
Variance13.907574
MonotonicityNot monotonic
2024-05-11T04:09:59.240788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 471
63.5%
14 5
 
0.7%
12 3
 
0.4%
15 3
 
0.4%
7 2
 
0.3%
21 2
 
0.3%
29 2
 
0.3%
13 2
 
0.3%
19 2
 
0.3%
9 2
 
0.3%
Other values (9) 9
 
1.2%
(Missing) 239
32.2%
ValueCountFrequency (%)
0 471
63.5%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
7 2
 
0.3%
9 2
 
0.3%
10 1
 
0.1%
11 1
 
0.1%
12 3
 
0.4%
ValueCountFrequency (%)
29 2
 
0.3%
22 1
 
0.1%
21 2
 
0.3%
19 2
 
0.3%
18 1
 
0.1%
17 1
 
0.1%
15 3
0.4%
14 5
0.7%
13 2
 
0.3%
12 3
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
715 
기타
 
21
주택가주변
 
5
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9555256
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 715
96.4%
기타 21
 
2.8%
주택가주변 5
 
0.7%
학교정화(상대) 1
 
0.1%

Length

2024-05-11T04:09:59.751888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:00.112396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 715
96.4%
기타 21
 
2.8%
주택가주변 5
 
0.7%
학교정화(상대 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct249
Distinct (%)51.6%
Missing259
Missing (%)34.9%
Memory size5.9 KiB
2024-05-11T04:10:01.036463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length8.9585921
Min length2

Characters and Unicode

Total characters4327
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)47.4%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 214
23.1%
제작 51
 
5.5%
및 48
 
5.2%
방송프로그램 38
 
4.1%
영상물 34
 
3.7%
영상 30
 
3.2%
등 27
 
2.9%
홍보영상 26
 
2.8%
광고 22
 
2.4%
동영상 20
 
2.2%
Other values (232) 417
45.0%
2024-05-11T04:10:02.991699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
10.3%
물 354
 
8.2%
영 286
 
6.6%
디 284
 
6.6%
비 275
 
6.4%
오 270
 
6.2%
상 257
 
5.9%
, 210
 
4.9%
제 132
 
3.1%
작 129
 
3.0%
Other values (161) 1685
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3569
82.5%
Space Separator 445
 
10.3%
Other Punctuation 229
 
5.3%
Uppercase Letter 51
 
1.2%
Open Punctuation 15
 
0.3%
Close Punctuation 15
 
0.3%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 354
 
9.9%
영 286
 
8.0%
디 284
 
8.0%
비 275
 
7.7%
오 270
 
7.6%
상 257
 
7.2%
제 132
 
3.7%
작 129
 
3.6%
보 120
 
3.4%
홍 116
 
3.3%
Other values (143) 1346
37.7%
Uppercase Letter
ValueCountFrequency (%)
V 15
29.4%
T 9
17.6%
D 9
17.6%
C 6
 
11.8%
F 6
 
11.8%
R 4
 
7.8%
A 1
 
2.0%
M 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 210
91.7%
/ 7
 
3.1%
. 6
 
2.6%
? 6
 
2.6%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3569
82.5%
Common 707
 
16.3%
Latin 51
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 354
 
9.9%
영 286
 
8.0%
디 284
 
8.0%
비 275
 
7.7%
오 270
 
7.6%
상 257
 
7.2%
제 132
 
3.7%
작 129
 
3.6%
보 120
 
3.4%
홍 116
 
3.3%
Other values (143) 1346
37.7%
Common
ValueCountFrequency (%)
445
62.9%
, 210
29.7%
( 15
 
2.1%
) 15
 
2.1%
/ 7
 
1.0%
. 6
 
0.8%
? 6
 
0.8%
3 1
 
0.1%
4 1
 
0.1%
- 1
 
0.1%
Latin
ValueCountFrequency (%)
V 15
29.4%
T 9
17.6%
D 9
17.6%
C 6
 
11.8%
F 6
 
11.8%
R 4
 
7.8%
A 1
 
2.0%
M 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3569
82.5%
ASCII 758
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
58.7%
, 210
27.7%
V 15
 
2.0%
( 15
 
2.0%
) 15
 
2.0%
T 9
 
1.2%
D 9
 
1.2%
/ 7
 
0.9%
C 6
 
0.8%
. 6
 
0.8%
Other values (8) 21
 
2.8%
Hangul
ValueCountFrequency (%)
물 354
 
9.9%
영 286
 
8.0%
디 284
 
8.0%
비 275
 
7.7%
오 270
 
7.6%
상 257
 
7.2%
제 132
 
3.7%
작 129
 
3.6%
보 120
 
3.4%
홍 116
 
3.3%
Other values (143) 1346
37.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct304
Distinct (%)60.4%
Missing239
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean101.12694
Minimum0
Maximum5955.63
Zeros156
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:10:03.960846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.34
Q3100
95-th percentile307.415
Maximum5955.63
Range5955.63
Interquartile range (IQR)100

Descriptive statistics

Standard deviation351.01277
Coefficient of variation (CV)3.4710116
Kurtosis200.65103
Mean101.12694
Median Absolute Deviation (MAD)41.34
Skewness13.241811
Sum50866.85
Variance123209.97
MonotonicityNot monotonic
2024-05-11T04:10:04.782944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 156
21.0%
30.0 5
 
0.7%
40.0 4
 
0.5%
100.0 4
 
0.5%
66.0 3
 
0.4%
36.54 3
 
0.4%
10.0 3
 
0.4%
15.0 3
 
0.4%
20.0 3
 
0.4%
256.38 2
 
0.3%
Other values (294) 317
42.7%
(Missing) 239
32.2%
ValueCountFrequency (%)
0.0 156
21.0%
2.54 1
 
0.1%
3.0 1
 
0.1%
3.15 1
 
0.1%
3.3 2
 
0.3%
3.8 1
 
0.1%
3.96 1
 
0.1%
4.0 1
 
0.1%
5.42 1
 
0.1%
6.27 1
 
0.1%
ValueCountFrequency (%)
5955.63 1
0.1%
4443.85 1
0.1%
1160.0 1
0.1%
1015.0 1
0.1%
979.86 1
0.1%
752.0 1
0.1%
689.46 1
0.1%
661.0 1
0.1%
561.98 1
0.1%
512.46 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)4.0%
Missing239
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean0.88667992
Minimum0
Maximum25
Zeros452
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:10:05.244686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1269745
Coefficient of variation (CV)3.5266103
Kurtosis20.266763
Mean0.88667992
Median Absolute Deviation (MAD)0
Skewness4.2338478
Sum446
Variance9.7779696
MonotonicityNot monotonic
2024-05-11T04:10:05.634348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 452
60.9%
10 9
 
1.2%
5 5
 
0.7%
2 5
 
0.7%
11 5
 
0.7%
4 4
 
0.5%
9 4
 
0.5%
6 3
 
0.4%
13 2
 
0.3%
16 2
 
0.3%
Other values (10) 12
 
1.6%
(Missing) 239
32.2%
ValueCountFrequency (%)
0 452
60.9%
1 1
 
0.1%
2 5
 
0.7%
3 2
 
0.3%
4 4
 
0.5%
5 5
 
0.7%
6 3
 
0.4%
7 2
 
0.3%
8 1
 
0.1%
9 4
 
0.5%
ValueCountFrequency (%)
25 1
 
0.1%
24 1
 
0.1%
19 1
 
0.1%
16 2
 
0.3%
15 1
 
0.1%
14 1
 
0.1%
13 2
 
0.3%
12 1
 
0.1%
11 5
0.7%
10 9
1.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.4%
Missing239
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean0.18489066
Minimum0
Maximum6
Zeros472
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T04:10:06.047320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81299845
Coefficient of variation (CV)4.3971851
Kurtosis23.271038
Mean0.18489066
Median Absolute Deviation (MAD)0
Skewness4.807787
Sum93
Variance0.66096647
MonotonicityNot monotonic
2024-05-11T04:10:06.446889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 472
63.6%
4 7
 
0.9%
1 7
 
0.9%
2 6
 
0.8%
5 5
 
0.7%
3 5
 
0.7%
6 1
 
0.1%
(Missing) 239
32.2%
ValueCountFrequency (%)
0 472
63.6%
1 7
 
0.9%
2 6
 
0.8%
3 5
 
0.7%
4 7
 
0.9%
5 5
 
0.7%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 5
 
0.7%
4 7
 
0.9%
3 5
 
0.7%
2 6
 
0.8%
1 7
 
0.9%
0 472
63.6%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
701 
사무실
 
25
근린생활시설
 
11
기타
 
5

Length

Max length6
Median length4
Mean length3.9824798
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> 701
94.5%
사무실 25
 
3.4%
근린생활시설 11
 
1.5%
기타 5
 
0.7%

Length

2024-05-11T04:10:06.907267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:07.431878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
94.5%
사무실 25
 
3.4%
근린생활시설 11
 
1.5%
기타 5
 
0.7%

통로너비
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
503 
<NA>
239 

Length

Max length4
Median length1
Mean length1.9663073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:10:07.870295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:08.291937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
67.8%
na 239
32.2%

조명시설조도
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
503 
<NA>
239 

Length

Max length4
Median length1
Mean length1.9663073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:10:08.800965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:09.171057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
67.8%
na 239
32.2%

노래방실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
503 
<NA>
239 

Length

Max length4
Median length1
Mean length1.9663073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:10:09.619142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:10.053953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
67.8%
na 239
32.2%

청소년실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
503 
<NA>
239 

Length

Max length4
Median length1
Mean length1.9663073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:10:10.855902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:11.381638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
67.8%
na 239
32.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
503 
<NA>
239 

Length

Max length4
Median length1
Mean length1.9663073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 503
67.8%
<NA> 239
32.2%

Length

2024-05-11T04:10:11.884452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:12.332562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 503
67.8%
na 239
32.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing742
Missing (%)100.0%
Memory size6.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
<NA>
710 
일반상업지역
 
9
준주거지역
 
5
준공업지역
 
5
상업지역
 
5
Other values (3)
 
8

Length

Max length6
Median length4
Mean length4.0592992
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 710
95.7%
일반상업지역 9
 
1.2%
준주거지역 5
 
0.7%
준공업지역 5
 
0.7%
상업지역 5
 
0.7%
중심상업지역 4
 
0.5%
근린상업지역 3
 
0.4%
일반주거지역 1
 
0.1%

Length

2024-05-11T04:10:12.878478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:13.382227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 710
95.7%
일반상업지역 9
 
1.2%
준주거지역 5
 
0.7%
준공업지역 5
 
0.7%
상업지역 5
 
0.7%
중심상업지역 4
 
0.5%
근린상업지역 3
 
0.4%
일반주거지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF124107200100000120010223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150825서울특별시 영등포구 대림동 ****-*번지 지층서울특별시 영등포구 대림로**길 ** (대림동,지층)<NA>우정영상프로덕션2006-03-15 13:46:20I2018-08-31 23:59:59.0<NA>191112.011863443340.889969비디오물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13180000CDFF124107200100000220010312<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100141서울특별시 중구 의주로*가 *-*번지서울특별시 중구 통일로 *** (의주로*가)<NA>주식회사 삼덕공사2006-07-31 17:51:25I2018-08-31 23:59:59.0<NA>197070.62437451473.160485비디오물제작업유통관련업0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23180000CDFF124107200100000320010312<NA>1영업/정상13영업중<NA><NA><NA><NA>02-735-0141<NA>150836서울특별시 영등포구 문래동*가 **-*번지 메가벤처타워 *** ~ ***호서울특별시 영등포구 문래로**길 ** (문래동*가,메가벤처타워 *** ~ ***호)<NA>주식회사 삼덕공사2006-07-31 18:06:34I2018-08-31 23:59:59.0<NA>190161.737344446125.335906비디오물제작업유통관련업0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33180000CDFF124107200100000420010312<NA>1영업/정상13영업중<NA><NA><NA><NA>02-735-0141<NA>150836서울특별시 영등포구 문래동*가 **-*번지 메가벤처타워 *층서울특별시 영등포구 문래로**길 ** (문래동*가,메가벤처타워 *층)<NA>주식회사 삼덕공사2007-04-18 10:18:26I2018-08-31 23:59:59.0<NA>190161.737344446125.335906비디오물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43180000CDFF124107200100000520010611<NA>3폐업3폐업20100604<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **번지 라이프콤비빌딩 ***호서울특별시 영등포구 여의동로 ***, ***호 (여의도동,라이프콤비빌딩)<NA>(주)알앤시미디어2010-06-04 09:40:47I2018-08-31 23:59:59.0<NA>194592.27675446268.48121비디오물제작업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53180000CDFF124107200100000620010618<NA>3폐업3폐업20100624<NA><NA><NA>02-763-5254<NA><NA>서울특별시 영등포구 여의도동 **-**번지 제일빌딩서울특별시 영등포구 여의대방로 *** (여의도동,제일빌딩)<NA>(주)아이미프로덕션2010-06-24 14:13:48I2018-08-31 23:59:59.0<NA>193818.18014446332.089777비디오물제작업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63180000CDFF124107200100000720010428<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2168-8888<NA><NA>서울특별시 영등포구 문래동*가 **-*번지 에이스테크노타워 ***호서울특별시 영등포구 당산로*길 ** (문래동*가)7299시앤시파워테크(주)2012-12-11 17:59:38I2018-08-31 23:59:59.0<NA>190684.216398445883.474974비디오물제작업<NA>0<NA>비디오물370.1600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73180000CDFF124107200100000820010914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-**번지 ***호서울특별시 영등포구 국회대로**길 **, ***호 (여의도동, 원정빌딩)7236한스미디어테크(주)2017-02-16 10:56:54I2018-08-31 23:59:59.0<NA>192636.733285447145.450292비디오물제작업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83180000CDFF124107200200000120020116<NA>1영업/정상13영업중<NA><NA><NA><NA>02-761-2663<NA>150914서울특별시 영등포구 여의도동 **-*번지 한국스카우트연맹빌딩 *층서울특별시 영등포구 국회대로**길 ** (여의도동,한국스카우트연맹빌딩 *층)<NA>메이준미디어 주식회사2008-06-16 07:52:10I2018-08-31 23:59:59.0<NA>192549.197013447167.254347비디오물제작업유통관련업0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93180000CDFF124107200200000220020410<NA>1영업/정상13영업중<NA><NA><NA><NA>02-783-2744<NA>150732서울특별시 영등포구 여의도동 **-*번지 라이프콤비빌딩 ***서울특별시 영등포구 **로 ** (여의도동,라이프콤비빌딩 ***)<NA>(주)네오비전2008-04-03 08:31:03I2018-08-31 23:59:59.0<NA>194530.53539446306.787198비디오물제작업유통관련업0<NA>비디오물0.000<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
7323180000CDFF12410720240000072024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 하나증권빌딩서울특별시 영등포구 의사당대로 **, 하나증권빌딩 *층 (여의도동)7321(주)서울크루2024-02-06 10:23:20I2023-12-02 00:08:00.0<NA>193017.878453446707.530846<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>
7333180000CDFF12410720240000082024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-** 한양빌딩서울특별시 영등포구 국회대로**길 **, 한양빌딩 **층 *호 (여의도동)7237주식회사 선광월드와이드2024-02-06 11:17:26I2023-12-02 00:08:00.0<NA>192888.783412447413.042993<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>
7343180000CDFF12410720240000092024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **서울특별시 영등포구 당산로**길 **-* (당산동*가)7259해브코리아2024-02-14 14:50:06I2023-12-01 23:07:00.0<NA>190905.183414446919.79947<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>
7353180000CDFF12410720240000102024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 **-**서울특별시 영등포구 도림로***나길 **-*, *층 (문래동*가)7288리스토리2024-02-22 15:58:06I2023-12-01 22:04:00.0<NA>190155.617283445972.841965<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>
7363180000CDFF12410720240000112024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 여의도아크로폴리스서울특별시 영등포구 국회대로**길 *, 여의도아크로폴리스 ****호 (여의도동)7238브런치웨이2024-03-05 14:45:42I2023-12-03 00:07:00.0<NA>192870.536136447546.574775<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>
7373180000CDFF12410720240000122021-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 **-*** 리버타워오피스텔서울특별시 영등포구 버드나루로 **, 리버타워오피스텔 ***호 (영등포동*가)7248주식회사 77프레임2024-03-19 10:14:35I2023-12-02 22:01:00.0<NA>192080.600057446761.824145<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>
7383180000CDFF12410720240000132024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***-**서울특별시 영등포구 국회대로**길 **, *층 ****호 (당산동*가)7256(주)레인아트2024-03-22 15:52:45I2023-12-02 22:04:00.0<NA>190586.06254447216.925499<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>
7393180000CDFF12410720240000142024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 **-* 성산빌딩서울특별시 영등포구 양평로 ***, 성산빌딩 ***호 (양평동*가)7207더도슨트2024-04-17 15:20:37U2023-12-03 23:09:00.0<NA>190514.917115448399.365382<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>
7403180000CDFF12410720240000152024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 *** 포레나 영등포 센트럴서울특별시 영등포구 국회대로**길 **, ***동 ****호 (영등포동*가, 포레나 영등포 센트럴)7246한국금융인재개발원2024-04-12 14:54:49I2023-12-03 23:04:00.0<NA>191586.660635446798.452968<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>
7413180000CDFF12410720240000162024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-** 한서리버파크서울특별시 영등포구 여의서로 **, 한서리버파크 ***호 (여의도동)7239(주) 알티튜드2024-04-29 16:27:24I2023-12-05 00:01:00.0<NA>193282.654267447611.552046<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>