Overview

Dataset statistics

Number of variables56
Number of observations317
Missing cells8096
Missing cells (%)45.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.6 KiB
Average record size in memory486.4 B

Variable types

Categorical19
Text6
DateTime4
Unsupported22
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17370/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.1%)Imbalance
영업상태명 is highly imbalanced (54.1%)Imbalance
상세영업상태코드 is highly imbalanced (54.1%)Imbalance
상세영업상태명 is highly imbalanced (54.1%)Imbalance
문화사업자구분명 is highly imbalanced (81.4%)Imbalance
총층수 is highly imbalanced (73.6%)Imbalance
주변환경명 is highly imbalanced (90.2%)Imbalance
지상층수 is highly imbalanced (77.9%)Imbalance
지하층수 is highly imbalanced (75.9%)Imbalance
건물용도명 is highly imbalanced (89.5%)Imbalance
통로너비 is highly imbalanced (56.9%)Imbalance
조명시설조도 is highly imbalanced (56.9%)Imbalance
노래방실수 is highly imbalanced (56.9%)Imbalance
청소년실수 is highly imbalanced (56.9%)Imbalance
총게임기수 is highly imbalanced (56.9%)Imbalance
지역구분명 is highly imbalanced (89.7%)Imbalance
인허가취소일자 has 317 (100.0%) missing valuesMissing
폐업일자 has 259 (81.7%) missing valuesMissing
휴업시작일자 has 317 (100.0%) missing valuesMissing
휴업종료일자 has 317 (100.0%) missing valuesMissing
재개업일자 has 317 (100.0%) missing valuesMissing
전화번호 has 190 (59.9%) missing valuesMissing
소재지면적 has 317 (100.0%) missing valuesMissing
소재지우편번호 has 309 (97.5%) missing valuesMissing
도로명주소 has 4 (1.3%) missing valuesMissing
도로명우편번호 has 17 (5.4%) missing valuesMissing
업태구분명 has 317 (100.0%) missing valuesMissing
제작취급품목내용 has 160 (50.5%) missing valuesMissing
시설면적 has 181 (57.1%) missing valuesMissing
비상계단여부 has 317 (100.0%) missing valuesMissing
비상구여부 has 317 (100.0%) missing valuesMissing
자동환기여부 has 317 (100.0%) missing valuesMissing
청소년실여부 has 317 (100.0%) missing valuesMissing
특수조명여부 has 317 (100.0%) missing valuesMissing
방음시설여부 has 317 (100.0%) missing valuesMissing
비디오재생기명 has 317 (100.0%) missing valuesMissing
조명시설유무 has 317 (100.0%) missing valuesMissing
음향시설여부 has 317 (100.0%) missing valuesMissing
편의시설여부 has 317 (100.0%) missing valuesMissing
소방시설여부 has 317 (100.0%) missing valuesMissing
기존게임업외업종명 has 317 (100.0%) missing valuesMissing
제공게임물명 has 317 (100.0%) missing valuesMissing
공연장형태구분명 has 317 (100.0%) missing valuesMissing
품목명 has 317 (100.0%) missing valuesMissing
최초등록시점 has 317 (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

Reproduction

Analysis started2024-05-11 08:04:56.382658
Analysis finished2024-05-11 08:04:57.459732
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3030000
317 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 317
100.0%

Length

2024-05-11T17:04:57.553328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:57.680005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 317
100.0%

관리번호
Text

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T17:04:57.914093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6340
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

Unique317 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071996000001
2nd rowCDFF1241071997000001
3rd rowCDFF1241072001000001
4th rowCDFF1241072001000002
5th rowCDFF1241072003000001
ValueCountFrequency (%)
cdff1241071996000001 1
 
0.3%
cdff1241072022000017 1
 
0.3%
cdff1241072022000014 1
 
0.3%
cdff1241072022000013 1
 
0.3%
cdff1241072022000012 1
 
0.3%
cdff1241072022000011 1
 
0.3%
cdff1241072022000010 1
 
0.3%
cdff1241072022000009 1
 
0.3%
cdff1241072022000008 1
 
0.3%
cdff1241072022000006 1
 
0.3%
Other values (307) 307
96.8%
2024-05-11T17:04:58.346058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2100
33.1%
2 986
15.6%
1 898
14.2%
F 634
 
10.0%
4 410
 
6.5%
7 358
 
5.6%
C 317
 
5.0%
D 317
 
5.0%
3 127
 
2.0%
9 59
 
0.9%
Other values (3) 134
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5072
80.0%
Uppercase Letter 1268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2100
41.4%
2 986
19.4%
1 898
17.7%
4 410
 
8.1%
7 358
 
7.1%
3 127
 
2.5%
9 59
 
1.2%
5 49
 
1.0%
6 48
 
0.9%
8 37
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 634
50.0%
C 317
25.0%
D 317
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5072
80.0%
Latin 1268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2100
41.4%
2 986
19.4%
1 898
17.7%
4 410
 
8.1%
7 358
 
7.1%
3 127
 
2.5%
9 59
 
1.2%
5 49
 
1.0%
6 48
 
0.9%
8 37
 
0.7%
Latin
ValueCountFrequency (%)
F 634
50.0%
C 317
25.0%
D 317
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2100
33.1%
2 986
15.6%
1 898
14.2%
F 634
 
10.0%
4 410
 
6.5%
7 358
 
5.6%
C 317
 
5.0%
D 317
 
5.0%
3 127
 
2.0%
9 59
 
0.9%
Other values (3) 134
 
2.1%

인허가일자
Date

Distinct294
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1996-07-18 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T17:04:58.523559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:58.680207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
257 
5
35 
3
 
23
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 257
81.1%
5 35
 
11.0%
3 23
 
7.3%
4 2
 
0.6%

Length

2024-05-11T17:04:58.847346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:58.976388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 257
81.1%
5 35
 
11.0%
3 23
 
7.3%
4 2
 
0.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
257 
제외/삭제/전출
35 
폐업
 
23
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length5.170347
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 257
81.1%
제외/삭제/전출 35
 
11.0%
폐업 23
 
7.3%
취소/말소/만료/정지/중지 2
 
0.6%

Length

2024-05-11T17:04:59.117224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:59.273043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 257
81.1%
제외/삭제/전출 35
 
11.0%
폐업 23
 
7.3%
취소/말소/만료/정지/중지 2
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
257 
15
35 
3
 
23
31
 
2

Length

Max length2
Median length2
Mean length1.9274448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row31
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 257
81.1%
15 35
 
11.0%
3 23
 
7.3%
31 2
 
0.6%

Length

2024-05-11T17:04:59.422800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:59.547151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 257
81.1%
15 35
 
11.0%
3 23
 
7.3%
31 2
 
0.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
257 
전출
35 
폐업
 
23
등록취소
 
2

Length

Max length4
Median length3
Mean length2.8233438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 257
81.1%
전출 35
 
11.0%
폐업 23
 
7.3%
등록취소 2
 
0.6%

Length

2024-05-11T17:04:59.692588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:59.821399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 257
81.1%
전출 35
 
11.0%
폐업 23
 
7.3%
등록취소 2
 
0.6%

폐업일자
Date

MISSING 

Distinct53
Distinct (%)91.4%
Missing259
Missing (%)81.7%
Memory size2.6 KiB
Minimum2008-04-14 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T17:04:59.942050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:00.094944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct127
Distinct (%)100.0%
Missing190
Missing (%)59.9%
Memory size2.6 KiB
2024-05-11T17:05:00.361364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.330709
Min length8

Characters and Unicode

Total characters1439
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row02-3408-0114
2nd row2205-1050
3rd row02-497-4400
4th row498-5005
5th row3404-6000
ValueCountFrequency (%)
02-3408-0114 1
 
0.8%
070-4404-0816 1
 
0.8%
02-456-9542 1
 
0.8%
02-2038-8975 1
 
0.8%
02-792-1147 1
 
0.8%
02-2223-2213 1
 
0.8%
02-6952-2664 1
 
0.8%
02-511-3532 1
 
0.8%
070-4616-5610 1
 
0.8%
070-7700-3630 1
 
0.8%
Other values (117) 117
92.1%
2024-05-11T17:05:00.767080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
16.5%
- 236
16.4%
2 201
14.0%
4 134
9.3%
5 118
8.2%
7 102
7.1%
6 99
6.9%
1 94
 
6.5%
3 78
 
5.4%
8 72
 
5.0%
Other values (2) 68
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1201
83.5%
Dash Punctuation 236
 
16.4%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
19.7%
2 201
16.7%
4 134
11.2%
5 118
9.8%
7 102
8.5%
6 99
8.2%
1 94
 
7.8%
3 78
 
6.5%
8 72
 
6.0%
9 66
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1439
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
16.5%
- 236
16.4%
2 201
14.0%
4 134
9.3%
5 118
8.2%
7 102
7.1%
6 99
6.9%
1 94
 
6.5%
3 78
 
5.4%
8 72
 
5.0%
Other values (2) 68
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
16.5%
- 236
16.4%
2 201
14.0%
4 134
9.3%
5 118
8.2%
7 102
7.1%
6 99
6.9%
1 94
 
6.5%
3 78
 
5.4%
8 72
 
5.0%
Other values (2) 68
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing309
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean133823.25
Minimum133769
Maximum133845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T17:05:00.912649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133769
5-th percentile133788.25
Q1133824.75
median133829
Q3133832.25
95-th percentile133840.8
Maximum133845
Range76
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation22.914437
Coefficient of variation (CV)0.00017122912
Kurtosis6.1756813
Mean133823.25
Median Absolute Deviation (MAD)4
Skewness-2.3284292
Sum1070586
Variance525.07143
MonotonicityNot monotonic
2024-05-11T17:05:01.040798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
133832 2
 
0.6%
133824 1
 
0.3%
133845 1
 
0.3%
133826 1
 
0.3%
133825 1
 
0.3%
133833 1
 
0.3%
133769 1
 
0.3%
(Missing) 309
97.5%
ValueCountFrequency (%)
133769 1
0.3%
133824 1
0.3%
133825 1
0.3%
133826 1
0.3%
133832 2
0.6%
133833 1
0.3%
133845 1
0.3%
ValueCountFrequency (%)
133845 1
0.3%
133833 1
0.3%
133832 2
0.6%
133826 1
0.3%
133825 1
0.3%
133824 1
0.3%
133769 1
0.3%

지번주소
Text

Distinct187
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T17:05:01.320746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length29.031546
Min length17

Characters and Unicode

Total characters9203
Distinct characters230
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

Unique136 ?
Unique (%)42.9%

Sample

1st row서울특별시 성동구 성수동*가 ***-*번지
2nd row서울특별시 성동구 성수동*가 ***-***번지
3rd row서울특별시 성동구 성수동*가 ***-**번지 우일벤처타운 *층
4th row서울특별시 성동구 성수동*가 ***-*번지 성옥빌딩 *층
5th row서울특별시 성동구 옥수동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 317
19.2%
성동구 316
19.1%
성수동*가 271
16.4%
230
13.9%
번지 83
 
5.0%
서울숲 32
 
1.9%
호 18
 
1.1%
sk 17
 
1.0%
v 17
 
1.0%
성수 13
 
0.8%
Other values (157) 339
20.5%
2024-05-11T17:05:01.715486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1853
20.1%
1486
16.1%
동 650
 
7.1%
성 631
 
6.9%
서 370
 
4.0%
울 370
 
4.0%
시 328
 
3.6%
특 317
 
3.4%
별 317
 
3.4%
구 317
 
3.4%
Other values (220) 2564
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5158
56.0%
Other Punctuation 1856
 
20.2%
Space Separator 1486
 
16.1%
Dash Punctuation 293
 
3.2%
Uppercase Letter 291
 
3.2%
Lowercase Letter 79
 
0.9%
Decimal Number 30
 
0.3%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 650
12.6%
성 631
12.2%
서 370
 
7.2%
울 370
 
7.2%
시 328
 
6.4%
특 317
 
6.1%
별 317
 
6.1%
구 317
 
6.1%
수 316
 
6.1%
가 281
 
5.4%
Other values (173) 1261
24.4%
Uppercase Letter
ValueCountFrequency (%)
T 48
16.5%
E 35
12.0%
K 27
9.3%
I 22
 
7.6%
R 21
 
7.2%
S 20
 
6.9%
C 19
 
6.5%
V 17
 
5.8%
A 13
 
4.5%
N 13
 
4.5%
Other values (12) 56
19.2%
Lowercase Letter
ValueCountFrequency (%)
o 19
24.1%
r 16
20.3%
e 16
20.3%
w 13
16.5%
a 3
 
3.8%
m 3
 
3.8%
t 3
 
3.8%
p 3
 
3.8%
h 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
6 7
23.3%
5 6
20.0%
3 4
13.3%
1 4
13.3%
7 3
10.0%
0 2
 
6.7%
8 2
 
6.7%
4 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 1853
99.8%
, 2
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5158
56.0%
Common 3675
39.9%
Latin 370
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 650
12.6%
성 631
12.2%
서 370
 
7.2%
울 370
 
7.2%
시 328
 
6.4%
특 317
 
6.1%
별 317
 
6.1%
구 317
 
6.1%
수 316
 
6.1%
가 281
 
5.4%
Other values (173) 1261
24.4%
Latin
ValueCountFrequency (%)
T 48
 
13.0%
E 35
 
9.5%
K 27
 
7.3%
I 22
 
5.9%
R 21
 
5.7%
S 20
 
5.4%
C 19
 
5.1%
o 19
 
5.1%
V 17
 
4.6%
r 16
 
4.3%
Other values (21) 126
34.1%
Common
ValueCountFrequency (%)
* 1853
50.4%
1486
40.4%
- 293
 
8.0%
6 7
 
0.2%
5 6
 
0.2%
) 5
 
0.1%
( 5
 
0.1%
3 4
 
0.1%
1 4
 
0.1%
7 3
 
0.1%
Other values (6) 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5158
56.0%
ASCII 4045
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1853
45.8%
1486
36.7%
- 293
 
7.2%
T 48
 
1.2%
E 35
 
0.9%
K 27
 
0.7%
I 22
 
0.5%
R 21
 
0.5%
S 20
 
0.5%
C 19
 
0.5%
Other values (37) 221
 
5.5%
Hangul
ValueCountFrequency (%)
동 650
12.6%
성 631
12.2%
서 370
 
7.2%
울 370
 
7.2%
시 328
 
6.4%
특 317
 
6.1%
별 317
 
6.1%
구 317
 
6.1%
수 316
 
6.1%
가 281
 
5.4%
Other values (173) 1261
24.4%

도로명주소
Text

MISSING 

Distinct270
Distinct (%)86.3%
Missing4
Missing (%)1.3%
Memory size2.6 KiB
2024-05-11T17:05:01.959852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length51
Mean length40.603834
Min length24

Characters and Unicode

Total characters12709
Distinct characters241
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

Unique235 ?
Unique (%)75.1%

Sample

1st row서울특별시 성동구 서울숲길 **-* (성수동*가)
2nd row서울특별시 성동구 아차산로 ** (성수동*가)
3rd row서울특별시 성동구 성수일로**길 *, *층 (성수동*가, 성옥빌딩 )
4th row서울특별시 성동구 성수일로 **, ***,***호 (성수동*가, SK테크노 빌딩)
5th row서울특별시 성동구 서울숲길 ** (성수동*가)
ValueCountFrequency (%)
314
13.3%
서울특별시 313
13.2%
성동구 312
13.2%
성수동*가 264
 
11.1%
호 221
 
9.3%
층 142
 
6.0%
서울숲 36
 
1.5%
아차산로**길 27
 
1.1%
성수일로 27
 
1.1%
아차산로 25
 
1.1%
Other values (247) 688
29.0%
2024-05-11T17:05:02.374280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2298
18.1%
2072
16.3%
성 718
 
5.6%
동 674
 
5.3%
수 402
 
3.2%
서 383
 
3.0%
울 381
 
3.0%
, 363
 
2.9%
시 327
 
2.6%
) 318
 
2.5%
Other values (231) 4773
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6846
53.9%
Other Punctuation 2662
 
20.9%
Space Separator 2072
 
16.3%
Uppercase Letter 324
 
2.5%
Close Punctuation 318
 
2.5%
Open Punctuation 318
 
2.5%
Lowercase Letter 79
 
0.6%
Dash Punctuation 50
 
0.4%
Decimal Number 31
 
0.2%
Math Symbol 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 718
 
10.5%
동 674
 
9.8%
수 402
 
5.9%
서 383
 
5.6%
울 381
 
5.6%
시 327
 
4.8%
구 314
 
4.6%
특 313
 
4.6%
별 313
 
4.6%
가 297
 
4.3%
Other values (182) 2724
39.8%
Uppercase Letter
ValueCountFrequency (%)
T 50
15.4%
E 36
11.1%
K 29
9.0%
R 25
 
7.7%
I 24
 
7.4%
S 22
 
6.8%
C 20
 
6.2%
A 18
 
5.6%
V 17
 
5.2%
N 13
 
4.0%
Other values (13) 70
21.6%
Lowercase Letter
ValueCountFrequency (%)
o 19
24.1%
r 16
20.3%
e 16
20.3%
w 13
16.5%
h 3
 
3.8%
t 3
 
3.8%
p 3
 
3.8%
m 3
 
3.8%
a 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 12
38.7%
0 4
 
12.9%
6 4
 
12.9%
2 3
 
9.7%
3 2
 
6.5%
4 2
 
6.5%
5 2
 
6.5%
8 1
 
3.2%
7 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
* 2298
86.3%
, 363
 
13.6%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2072
100.0%
Close Punctuation
ValueCountFrequency (%)
) 318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6846
53.9%
Common 5460
43.0%
Latin 403
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 718
 
10.5%
동 674
 
9.8%
수 402
 
5.9%
서 383
 
5.6%
울 381
 
5.6%
시 327
 
4.8%
구 314
 
4.6%
특 313
 
4.6%
별 313
 
4.6%
가 297
 
4.3%
Other values (182) 2724
39.8%
Latin
ValueCountFrequency (%)
T 50
 
12.4%
E 36
 
8.9%
K 29
 
7.2%
R 25
 
6.2%
I 24
 
6.0%
S 22
 
5.5%
C 20
 
5.0%
o 19
 
4.7%
A 18
 
4.5%
V 17
 
4.2%
Other values (22) 143
35.5%
Common
ValueCountFrequency (%)
* 2298
42.1%
2072
37.9%
, 363
 
6.6%
) 318
 
5.8%
( 318
 
5.8%
- 50
 
0.9%
1 12
 
0.2%
~ 9
 
0.2%
0 4
 
0.1%
6 4
 
0.1%
Other values (7) 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6846
53.9%
ASCII 5863
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2298
39.2%
2072
35.3%
, 363
 
6.2%
) 318
 
5.4%
( 318
 
5.4%
- 50
 
0.9%
T 50
 
0.9%
E 36
 
0.6%
K 29
 
0.5%
R 25
 
0.4%
Other values (39) 304
 
5.2%
Hangul
ValueCountFrequency (%)
성 718
 
10.5%
동 674
 
9.8%
수 402
 
5.9%
서 383
 
5.6%
울 381
 
5.6%
시 327
 
4.8%
구 314
 
4.6%
특 313
 
4.6%
별 313
 
4.6%
가 297
 
4.3%
Other values (182) 2724
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)19.3%
Missing17
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean6494.1333
Minimum3909
Maximum133847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T17:05:02.549470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3909
5-th percentile4730.8
Q14779
median4784
Q34793
95-th percentile4799
Maximum133847
Range129938
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14786.164
Coefficient of variation (CV)2.2768494
Kurtosis71.215274
Mean6494.1333
Median Absolute Deviation (MAD)6
Skewness8.5287098
Sum1948240
Variance2.1863064 × 108
MonotonicityNot monotonic
2024-05-11T17:05:02.759022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4790 31
 
9.8%
4799 26
 
8.2%
4779 21
 
6.6%
4778 20
 
6.3%
4782 19
 
6.0%
4793 14
 
4.4%
4784 13
 
4.1%
4783 13
 
4.1%
4789 11
 
3.5%
4780 10
 
3.2%
Other values (48) 122
38.5%
(Missing) 17
 
5.4%
ValueCountFrequency (%)
3909 1
0.3%
4700 1
0.3%
4704 1
0.3%
4705 1
0.3%
4707 2
0.6%
4709 2
0.6%
4712 1
0.3%
4715 1
0.3%
4717 1
0.3%
4719 1
0.3%
ValueCountFrequency (%)
133847 1
 
0.3%
133827 1
 
0.3%
133120 1
 
0.3%
133110 1
 
0.3%
4808 3
 
0.9%
4802 3
 
0.9%
4801 2
 
0.6%
4800 1
 
0.3%
4799 26
8.2%
4798 5
 
1.6%

사업장명
Text

Distinct314
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T17:05:03.030973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length20
Mean length9
Min length2

Characters and Unicode

Total characters2853
Distinct characters347
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)98.1%

Sample

1st row학림사
2nd row대상정보기술(주)
3rd row(주)디지탈 선일
4th row(주)거진아이템
5th rowYJ story
ValueCountFrequency (%)
주식회사 110
 
23.4%
스튜디오 3
 
0.6%
디자인 3
 
0.6%
주 3
 
0.6%
주)셀빅 2
 
0.4%
studio 2
 
0.4%
하이로우 2
 
0.4%
media 2
 
0.4%
프로덕션 2
 
0.4%
크리에이티브 2
 
0.4%
Other values (338) 340
72.2%
2024-05-11T17:05:03.456063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 235
 
8.2%
154
 
5.4%
) 128
 
4.5%
( 127
 
4.5%
이 121
 
4.2%
사 119
 
4.2%
회 112
 
3.9%
식 112
 
3.9%
스 111
 
3.9%
디 60
 
2.1%
Other values (337) 1574
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2309
80.9%
Space Separator 154
 
5.4%
Close Punctuation 128
 
4.5%
Open Punctuation 127
 
4.5%
Uppercase Letter 60
 
2.1%
Lowercase Letter 48
 
1.7%
Decimal Number 23
 
0.8%
Other Punctuation 2
 
0.1%
Connector Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 235
 
10.2%
이 121
 
5.2%
사 119
 
5.2%
회 112
 
4.9%
식 112
 
4.9%
스 111
 
4.8%
디 60
 
2.6%
트 42
 
1.8%
브 35
 
1.5%
리 33
 
1.4%
Other values (281) 1329
57.6%
Uppercase Letter
ValueCountFrequency (%)
M 5
 
8.3%
E 5
 
8.3%
I 5
 
8.3%
T 4
 
6.7%
A 4
 
6.7%
D 4
 
6.7%
N 4
 
6.7%
C 3
 
5.0%
R 3
 
5.0%
S 3
 
5.0%
Other values (15) 20
33.3%
Lowercase Letter
ValueCountFrequency (%)
t 7
14.6%
e 6
12.5%
i 5
10.4%
u 4
 
8.3%
y 3
 
6.2%
n 3
 
6.2%
s 3
 
6.2%
r 3
 
6.2%
d 2
 
4.2%
p 2
 
4.2%
Other values (8) 10
20.8%
Decimal Number
ValueCountFrequency (%)
1 5
21.7%
2 4
17.4%
7 4
17.4%
3 4
17.4%
0 3
13.0%
9 2
 
8.7%
6 1
 
4.3%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2310
81.0%
Common 435
 
15.2%
Latin 108
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 235
 
10.2%
이 121
 
5.2%
사 119
 
5.2%
회 112
 
4.8%
식 112
 
4.8%
스 111
 
4.8%
디 60
 
2.6%
트 42
 
1.8%
브 35
 
1.5%
리 33
 
1.4%
Other values (282) 1330
57.6%
Latin
ValueCountFrequency (%)
t 7
 
6.5%
e 6
 
5.6%
i 5
 
4.6%
M 5
 
4.6%
E 5
 
4.6%
I 5
 
4.6%
T 4
 
3.7%
u 4
 
3.7%
A 4
 
3.7%
D 4
 
3.7%
Other values (33) 59
54.6%
Common
ValueCountFrequency (%)
154
35.4%
) 128
29.4%
( 127
29.2%
1 5
 
1.1%
2 4
 
0.9%
7 4
 
0.9%
3 4
 
0.9%
0 3
 
0.7%
. 2
 
0.5%
9 2
 
0.5%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2309
80.9%
ASCII 543
 
19.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 235
 
10.2%
이 121
 
5.2%
사 119
 
5.2%
회 112
 
4.9%
식 112
 
4.9%
스 111
 
4.8%
디 60
 
2.6%
트 42
 
1.8%
브 35
 
1.5%
리 33
 
1.4%
Other values (281) 1329
57.6%
ASCII
ValueCountFrequency (%)
154
28.4%
) 128
23.6%
( 127
23.4%
t 7
 
1.3%
e 6
 
1.1%
i 5
 
0.9%
M 5
 
0.9%
E 5
 
0.9%
I 5
 
0.9%
1 5
 
0.9%
Other values (45) 96
17.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2007-06-28 15:51:37
Maximum2024-05-08 15:31:12
2024-05-11T17:05:03.607553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:03.758536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
211 
U
106 

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 211
66.6%
U 106
33.4%

Length

2024-05-11T17:05:03.897940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:04.012872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 211
66.6%
u 106
33.4%

데이터갱신일자
Date

Distinct228
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T17:05:04.131805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:05:04.302895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct183
Distinct (%)57.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean204434.97
Minimum190336.05
Maximum206019.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T17:05:04.753626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190336.05
5-th percentile203066.84
Q1204045.51
median204495.65
Q3204970.85
95-th percentile205758.41
Maximum206019.74
Range15683.688
Interquartile range (IQR)925.34311

Descriptive statistics

Standard deviation1147.3001
Coefficient of variation (CV)0.005612054
Kurtosis72.321229
Mean204434.97
Median Absolute Deviation (MAD)452.85659
Skewness-6.3022969
Sum64601451
Variance1316297.5
MonotonicityNot monotonic
2024-05-11T17:05:04.914027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205638.676388032 13
 
4.1%
205773.876761108 11
 
3.5%
203994.658040173 7
 
2.2%
204339.630102839 6
 
1.9%
204654.52804316 5
 
1.6%
204895.642528327 5
 
1.6%
204948.345073119 5
 
1.6%
204304.435352975 5
 
1.6%
204405.898397301 5
 
1.6%
204495.650175932 4
 
1.3%
Other values (173) 250
78.9%
ValueCountFrequency (%)
190336.052384 1
0.3%
200896.532906303 1
0.3%
201157.877298502 1
0.3%
201251.472156455 1
0.3%
201415.07880648 1
0.3%
201725.507829035 1
0.3%
201961.299187512 1
0.3%
202080.868615726 1
0.3%
202113.869605464 1
0.3%
202167.126656256 1
0.3%
ValueCountFrequency (%)
206019.74086692 1
 
0.3%
205993.619464918 1
 
0.3%
205898.680078054 1
 
0.3%
205850.077784085 1
 
0.3%
205784.868811814 1
 
0.3%
205773.876761108 11
3.5%
205753.250469411 1
 
0.3%
205649.265886683 1
 
0.3%
205638.676388032 13
4.1%
205614.244466906 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct183
Distinct (%)57.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean449409.93
Minimum448222.86
Maximum452950.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T17:05:05.077499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448222.86
5-th percentile448659.77
Q1449022.49
median449369.79
Q3449593.53
95-th percentile450890.89
Maximum452950.54
Range4727.6804
Interquartile range (IQR)571.03747

Descriptive statistics

Standard deviation651.65968
Coefficient of variation (CV)0.001450034
Kurtosis5.2432902
Mean449409.93
Median Absolute Deviation (MAD)304.16276
Skewness1.8314796
Sum1.4201354 × 108
Variance424660.34
MonotonicityNot monotonic
2024-05-11T17:05:05.235144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449369.788095658 13
 
4.1%
449380.832285638 11
 
3.5%
449552.049448345 7
 
2.2%
449469.505136008 6
 
1.9%
448814.828260367 5
 
1.6%
448701.40145153 5
 
1.6%
448659.767345547 5
 
1.6%
449241.757151863 5
 
1.6%
449717.580219776 5
 
1.6%
449405.611643886 4
 
1.3%
Other values (173) 250
78.9%
ValueCountFrequency (%)
448222.861128127 1
 
0.3%
448295.046451785 1
 
0.3%
448381.130278946 3
0.9%
448382.86739377 1
 
0.3%
448399.948660115 1
 
0.3%
448421.62250928 1
 
0.3%
448435.99620436 1
 
0.3%
448597.105580996 1
 
0.3%
448600.508782499 1
 
0.3%
448614.910605472 1
 
0.3%
ValueCountFrequency (%)
452950.541489 1
0.3%
452099.051162992 1
0.3%
451897.581865192 1
0.3%
451720.967632541 1
0.3%
451580.702168966 1
0.3%
451516.64340431 1
0.3%
451468.504506561 1
0.3%
451442.470977873 1
0.3%
451271.366165685 1
0.3%
451121.27351231 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
160 
비디오물제작업
157 

Length

Max length7
Median length4
Mean length5.4858044
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
50.5%
비디오물제작업 157
49.5%

Length

2024-05-11T17:05:05.386723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:05.514278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
50.5%
비디오물제작업 157
49.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
308 
유통관련업
 
9

Length

Max length5
Median length4
Mean length4.0283912
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 308
97.2%
유통관련업 9
 
2.8%

Length

2024-05-11T17:05:05.668420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:05.806647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
97.2%
유통관련업 9
 
2.8%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
287 
0
 
25
6
 
3
5
 
2

Length

Max length4
Median length4
Mean length3.7160883
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 287
90.5%
0 25
 
7.9%
6 3
 
0.9%
5 2
 
0.6%

Length

2024-05-11T17:05:05.958271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:06.091091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
90.5%
0 25
 
7.9%
6 3
 
0.9%
5 2
 
0.6%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
313 
기타
 
4

Length

Max length4
Median length4
Mean length3.9747634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 313
98.7%
기타 4
 
1.3%

Length

2024-05-11T17:05:06.261506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:06.389408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 313
98.7%
기타 4
 
1.3%

제작취급품목내용
Text

MISSING 

Distinct111
Distinct (%)70.7%
Missing160
Missing (%)50.5%
Memory size2.6 KiB
2024-05-11T17:05:06.630159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length10.063694
Min length3

Characters and Unicode

Total characters1580
Distinct characters150
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

Unique99 ?
Unique (%)63.1%

Sample

1st row비디오테이프
2nd rowSW개발
3rd row비디오물
4th row비디오물
5th row동영상, 비디오물
ValueCountFrequency (%)
비디오물 36
 
10.9%
영상물 15
 
4.5%
광고 15
 
4.5%
및 14
 
4.2%
홍보영상 12
 
3.6%
홍보영상물 11
 
3.3%
제작 11
 
3.3%
동영상 11
 
3.3%
등 10
 
3.0%
영상 9
 
2.7%
Other values (122) 186
56.4%
2024-05-11T17:05:07.084614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
10.9%
영 134
 
8.5%
, 118
 
7.5%
상 117
 
7.4%
물 102
 
6.5%
디 79
 
5.0%
비 71
 
4.5%
오 71
 
4.5%
제 52
 
3.3%
작 51
 
3.2%
Other values (140) 612
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1206
76.3%
Space Separator 173
 
10.9%
Other Punctuation 119
 
7.5%
Uppercase Letter 64
 
4.1%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Decimal Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 134
 
11.1%
상 117
 
9.7%
물 102
 
8.5%
디 79
 
6.6%
비 71
 
5.9%
오 71
 
5.9%
제 52
 
4.3%
작 51
 
4.2%
보 47
 
3.9%
홍 45
 
3.7%
Other values (117) 437
36.2%
Uppercase Letter
ValueCountFrequency (%)
D 20
31.2%
V 12
18.8%
C 8
 
12.5%
S 5
 
7.8%
F 5
 
7.8%
T 3
 
4.7%
N 3
 
4.7%
P 2
 
3.1%
R 1
 
1.6%
I 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
3 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 118
99.2%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1206
76.3%
Common 310
 
19.6%
Latin 64
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 134
 
11.1%
상 117
 
9.7%
물 102
 
8.5%
디 79
 
6.6%
비 71
 
5.9%
오 71
 
5.9%
제 52
 
4.3%
작 51
 
4.2%
보 47
 
3.9%
홍 45
 
3.7%
Other values (117) 437
36.2%
Latin
ValueCountFrequency (%)
D 20
31.2%
V 12
18.8%
C 8
 
12.5%
S 5
 
7.8%
F 5
 
7.8%
T 3
 
4.7%
N 3
 
4.7%
P 2
 
3.1%
R 1
 
1.6%
I 1
 
1.6%
Other values (4) 4
 
6.2%
Common
ValueCountFrequency (%)
173
55.8%
, 118
38.1%
) 7
 
2.3%
( 7
 
2.3%
6 1
 
0.3%
3 1
 
0.3%
0 1
 
0.3%
- 1
 
0.3%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
76.3%
ASCII 374
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
46.3%
, 118
31.6%
D 20
 
5.3%
V 12
 
3.2%
C 8
 
2.1%
) 7
 
1.9%
( 7
 
1.9%
S 5
 
1.3%
F 5
 
1.3%
T 3
 
0.8%
Other values (13) 16
 
4.3%
Hangul
ValueCountFrequency (%)
영 134
 
11.1%
상 117
 
9.7%
물 102
 
8.5%
디 79
 
6.6%
비 71
 
5.9%
오 71
 
5.9%
제 52
 
4.3%
작 51
 
4.2%
보 47
 
3.9%
홍 45
 
3.7%
Other values (117) 437
36.2%

시설면적
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)91.2%
Missing181
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean136.00419
Minimum0
Maximum889.51
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T17:05:07.270789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q138.6175
median94.385
Q3154.7125
95-th percentile431.2625
Maximum889.51
Range889.51
Interquartile range (IQR)116.095

Descriptive statistics

Standard deviation159.35924
Coefficient of variation (CV)1.171723
Kurtosis8.4100502
Mean136.00419
Median Absolute Deviation (MAD)58.97
Skewness2.7038092
Sum18496.57
Variance25395.367
MonotonicityNot monotonic
2024-05-11T17:05:07.461363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
1.3%
33.0 3
 
0.9%
28.0 2
 
0.6%
63.2 2
 
0.6%
24.0 2
 
0.6%
6.0 2
 
0.6%
0.0 2
 
0.6%
3.0 2
 
0.6%
60.8 2
 
0.6%
476.03 1
 
0.3%
Other values (114) 114
36.0%
(Missing) 181
57.1%
ValueCountFrequency (%)
0.0 2
0.6%
1.0 4
1.3%
3.0 2
0.6%
3.6 1
 
0.3%
4.0 1
 
0.3%
6.0 2
0.6%
6.8 1
 
0.3%
8.0 1
 
0.3%
9.12 1
 
0.3%
10.0 1
 
0.3%
ValueCountFrequency (%)
889.51 1
0.3%
826.16 1
0.3%
759.0 1
0.3%
695.23 1
0.3%
691.15 1
0.3%
520.34 1
0.3%
476.03 1
0.3%
416.34 1
0.3%
396.69 1
0.3%
374.14 1
0.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
288 
0
 
25
5
 
2
6
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7255521
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 288
90.9%
0 25
 
7.9%
5 2
 
0.6%
6 1
 
0.3%
1 1
 
0.3%

Length

2024-05-11T17:05:07.666056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:07.824498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
90.9%
0 25
 
7.9%
5 2
 
0.6%
6 1
 
0.3%
1 1
 
0.3%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
25
1
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 25
 
7.9%
1 2
 
0.6%
4 1
 
0.3%

Length

2024-05-11T17:05:07.978658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:08.117326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 25
 
7.9%
1 2
 
0.6%
4 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
근린생활시설
 
6
사무실
 
1

Length

Max length6
Median length4
Mean length4.0347003
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
97.8%
근린생활시설 6
 
1.9%
사무실 1
 
0.3%

Length

2024-05-11T17:05:08.249350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:08.372074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
97.8%
근린생활시설 6
 
1.9%
사무실 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
28

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 28
 
8.8%

Length

2024-05-11T17:05:08.504690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:08.637879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 28
 
8.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
28

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 28
 
8.8%

Length

2024-05-11T17:05:08.752709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:08.879715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 28
 
8.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
28

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 28
 
8.8%

Length

2024-05-11T17:05:09.028936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:09.165245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 28
 
8.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
28

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 28
 
8.8%

Length

2024-05-11T17:05:09.312640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:09.467545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 28
 
8.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
28

Length

Max length4
Median length4
Mean length3.7350158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
91.2%
0 28
 
8.8%

Length

2024-05-11T17:05:09.625544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:09.764964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
91.2%
0 28
 
8.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
309 
준공업지역
 
4
일반공업지역
 
3
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.0347003
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 309
97.5%
준공업지역 4
 
1.3%
일반공업지역 3
 
0.9%
준주거지역 1
 
0.3%

Length

2024-05-11T17:05:09.918910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:05:10.062050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
97.5%
준공업지역 4
 
1.3%
일반공업지역 3
 
0.9%
준주거지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF124107199600000119960718<NA>3폐업3폐업20080414<NA><NA><NA><NA><NA>133824서울특별시 성동구 성수동*가 ***-*번지서울특별시 성동구 서울숲길 **-* (성수동*가)<NA>학림사2008-04-14 10:17:14I2018-08-31 23:59:59.0<NA>203697.005089449511.802585비디오물제작업유통관련업<NA><NA>비디오테이프<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13030000CDFF124107199700000119971114<NA>3폐업3폐업20120222<NA><NA><NA>02-3408-0114<NA><NA>서울특별시 성동구 성수동*가 ***-***번지서울특별시 성동구 아차산로 ** (성수동*가)133110대상정보기술(주)2012-02-23 09:27:10I2018-08-31 23:59:59.0<NA>204214.219488449434.402443비디오물제작업<NA><NA><NA>SW개발<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000CDFF124107200100000120010510<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>2205-1050<NA>133832서울특별시 성동구 성수동*가 ***-**번지 우일벤처타운 *층<NA><NA>(주)디지탈 선일2007-12-06 15:49:05I2018-08-31 23:59:59.0<NA>205274.521963449232.033865비디오물제작업유통관련업<NA>기타비디오물759.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반공업지역
33030000CDFF124107200100000220010428<NA>1영업/정상13영업중<NA><NA><NA><NA>02-497-4400<NA><NA>서울특별시 성동구 성수동*가 ***-*번지 성옥빌딩 *층서울특별시 성동구 성수일로**길 *, *층 (성수동*가, 성옥빌딩 )4792(주)거진아이템2012-05-30 15:46:41I2018-08-31 23:59:59.0<NA>204520.928414449700.296089비디오물제작업유통관련업6<NA>비디오물396.696<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
43030000CDFF124107200300000120030408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133845서울특별시 성동구 옥수동 ***-*번지 *층<NA><NA>YJ story2009-01-19 10:14:37I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업유통관련업<NA><NA>동영상, 비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFF124107200600000220060515<NA>1영업/정상13영업중<NA><NA><NA><NA>498-5005<NA><NA>서울특별시 성동구 성수동*가 **-*번지 SK테크노 빌딩 ***,***호서울특별시 성동구 성수일로 **, ***,***호 (성수동*가, SK테크노 빌딩)4779(주)블루마인드2013-12-26 15:35:26I2018-08-31 23:59:59.0<NA>204304.435353449241.757152비디오물제작업<NA><NA><NA>비디오물(DVD)476.03<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFF124107200600000320060619<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3404-6000<NA>133826서울특별시 성동구 성수동*가 ***-*번지<NA><NA>(주)지한정보통신2007-12-06 15:51:30I2018-08-31 23:59:59.0<NA>205260.827744448399.94866비디오물제작업유통관련업<NA>기타통신및 음향, 방송장비등<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반공업지역
73030000CDFF124107200700000120070628<NA>1영업/정상13영업중<NA><NA><NA><NA>3661-1548<NA>133825서울특별시 성동구 성수동*가 ***-***번지서울특별시 성동구 서울숲길 ** (성수동*가)<NA>아이엠지테크(주)2007-06-28 15:51:37I2018-08-31 23:59:59.0<NA>203731.038511449545.792016비디오물제작업유통관련업<NA>기타비디오물,교육컨덴츠,디지털컨덴츠<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
83030000CDFF124107200700000220070730<NA>1영업/정상13영업중<NA><NA><NA><NA>3444-1800<NA>133832서울특별시 성동구 성수동*가 ***-*번지 모터시티 B/D *층서울특별시 성동구 광나루로*길 ** (성수동*가,모터시티 B/D *층)<NA>주)에이탑INC2007-08-06 16:45:21I2018-08-31 23:59:59.0<NA>205649.265887449329.707492비디오물제작업유통관련업<NA>기타비디오물<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반공업지역
93030000CDFF124107200900000120090108<NA>3폐업3폐업20120404<NA><NA><NA>2202-3740<NA>133833서울특별시 성동구 성수동*가 ***-**번지 지영플라자 ***호<NA><NA>나래 inter2012-04-04 16:47:29I2018-08-31 23:59:59.0<NA>204576.073483449381.051226비디오물제작업유통관련업<NA><NA>영상물, 비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3073030000CDFF12410720240000142024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-469-0069<NA><NA>서울특별시 성동구 성수동*가 **-***서울특별시 성동구 상원**길 **, ***호 (성수동*가)4790주식회사 레토드2024-04-04 18:01:59I2023-12-04 00:06:00.0<NA>204399.528008449705.922427<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3083030000CDFF12410720240000152024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 성수역 SK V* Tower서울특별시 성동구 연무장*가길 **, 성수역 SK V* Tower *층 ***호 (성수동*가)4782주식회사 캐칭2024-04-09 18:03:01I2023-12-03 23:01:00.0<NA>204847.846011449037.176697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3093030000CDFF12410720240000162023-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 상상플래닛서울특별시 성동구 뚝섬로**길 **, 상상플래닛 *층 ***호 (성수동*가)4785주식회사 굿워크랩2024-04-12 17:47:38I2023-12-03 23:04:00.0<NA>205073.476044448797.516375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3103030000CDFF12410720240000172024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-***서울특별시 성동구 상원**길 **, ****호 (성수동*가)4790주식회사 웅필름크리에이티브2024-04-17 17:17:16I2023-12-03 23:09:00.0<NA>204399.528008449705.922427<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3113030000CDFF12410720240000182020-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-578-7988<NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정**가길 **-**, *층 (송정동)4800위앤월드커뮤니케이션2024-05-08 15:31:12U2023-12-04 23:00:00.0<NA>205993.619465450184.156881<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3123030000CDFF12410720240000192024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-565-9501<NA><NA>서울특별시 성동구 성수동*가 ***-*** KD타워서울특별시 성동구 왕십리로 ***, KD타워 ***호 (성수동*가)4766주식회사 인터크로스2024-04-23 17:00:11I2023-12-03 22:05:00.0<NA>203808.75878449612.381771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3133030000CDFF12410720240000202024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-454-1990<NA><NA>서울특별시 성동구 성수동*가 ***-** 서울숲 코리아IT센터서울특별시 성동구 성수일로**길 **, 서울숲 코리아IT센터 *층 ***호~***호 (성수동*가)4793윌비커뮤니케이션2024-04-23 17:00:42I2023-12-03 22:05:00.0<NA>204687.3609449514.384812<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3143030000CDFF12410720240000212024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 성수동 아크벨리서울특별시 성동구 성수이로**길 **, 성수동 아크벨리 *층 ***호 (성수동*가)4798무브멘토2024-04-25 16:46:59I2023-12-03 22:07:00.0<NA>205347.50309449069.890347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3153030000CDFF12410720240000222024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-567-3856<NA><NA>서울특별시 성동구 성수동*가 ***-*서울특별시 성동구 성수이로*길 *, *층 ***호 (성수동*가)4776(주)킴스페이스2024-05-01 15:33:47I2023-12-05 00:04:00.0<NA>204698.287173448222.861128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3163030000CDFF12410720240000232024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5055-3419<NA><NA>서울특별시 성동구 성수동*가 *** 성수 SK V* CENTER I서울특별시 성동구 아차산로**길 **, 성수 SK V* CENTER I *동 ***호~***호, ****호~****호 (성수동*가)4799(주) 이루다마케팅2024-05-03 18:09:35I2023-12-05 00:05:00.0<NA>205773.876761449380.832286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>