Overview

Dataset statistics

Number of variables56
Number of observations324
Missing cells8899
Missing cells (%)49.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory153.9 KiB
Average record size in memory486.4 B

Variable types

Categorical17
Text6
DateTime4
Unsupported22
Numeric7

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17369/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (66.3%)Imbalance
영업상태명 is highly imbalanced (66.3%)Imbalance
상세영업상태코드 is highly imbalanced (66.3%)Imbalance
상세영업상태명 is highly imbalanced (66.3%)Imbalance
주변환경명 is highly imbalanced (83.3%)Imbalance
지하층수 is highly imbalanced (77.4%)Imbalance
건물용도명 is highly imbalanced (85.4%)Imbalance
통로너비 is highly imbalanced (70.3%)Imbalance
조명시설조도 is highly imbalanced (70.3%)Imbalance
노래방실수 is highly imbalanced (70.3%)Imbalance
청소년실수 is highly imbalanced (70.3%)Imbalance
총게임기수 is highly imbalanced (70.3%)Imbalance
지역구분명 is highly imbalanced (88.1%)Imbalance
인허가취소일자 has 324 (100.0%) missing valuesMissing
폐업일자 has 284 (87.7%) missing valuesMissing
휴업시작일자 has 324 (100.0%) missing valuesMissing
휴업종료일자 has 324 (100.0%) missing valuesMissing
재개업일자 has 324 (100.0%) missing valuesMissing
전화번호 has 120 (37.0%) missing valuesMissing
소재지면적 has 324 (100.0%) missing valuesMissing
소재지우편번호 has 235 (72.5%) missing valuesMissing
도로명주소 has 20 (6.2%) missing valuesMissing
도로명우편번호 has 111 (34.3%) missing valuesMissing
업태구분명 has 324 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.9%) missing valuesMissing
좌표정보(Y) has 6 (1.9%) missing valuesMissing
총층수 has 301 (92.9%) missing valuesMissing
제작취급품목내용 has 189 (58.3%) missing valuesMissing
시설면적 has 208 (64.2%) missing valuesMissing
지상층수 has 291 (89.8%) missing valuesMissing
비상계단여부 has 324 (100.0%) missing valuesMissing
비상구여부 has 324 (100.0%) missing valuesMissing
자동환기여부 has 324 (100.0%) missing valuesMissing
청소년실여부 has 324 (100.0%) missing valuesMissing
특수조명여부 has 324 (100.0%) missing valuesMissing
방음시설여부 has 324 (100.0%) missing valuesMissing
비디오재생기명 has 324 (100.0%) missing valuesMissing
조명시설유무 has 324 (100.0%) missing valuesMissing
음향시설여부 has 324 (100.0%) missing valuesMissing
편의시설여부 has 324 (100.0%) missing valuesMissing
소방시설여부 has 324 (100.0%) missing valuesMissing
기존게임업외업종명 has 324 (100.0%) missing valuesMissing
제공게임물명 has 324 (100.0%) missing valuesMissing
공연장형태구분명 has 324 (100.0%) missing valuesMissing
품목명 has 324 (100.0%) missing valuesMissing
최초등록시점 has 324 (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 16 (4.9%) zerosZeros
지상층수 has 15 (4.6%) zerosZeros

Reproduction

Analysis started2024-05-17 23:55:34.616465
Analysis finished2024-05-17 23:55:36.839855
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3020000
324 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 324
100.0%

Length

2024-05-18T08:55:37.120888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:37.506644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 324
100.0%

관리번호
Text

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-18T08:55:38.069438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6480
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

Unique324 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071981000001
2nd rowCDFF1241071982000001
3rd rowCDFF1241071982000002
4th rowCDFF1241071985000001
5th rowCDFF1241071989000001
ValueCountFrequency (%)
cdff1241071981000001 1
 
0.3%
cdff1241072020000025 1
 
0.3%
cdff1241072021000021 1
 
0.3%
cdff1241072021000020 1
 
0.3%
cdff1241072021000019 1
 
0.3%
cdff1241072021000018 1
 
0.3%
cdff1241072021000017 1
 
0.3%
cdff1241072021000015 1
 
0.3%
cdff1241072021000014 1
 
0.3%
cdff1241072021000022 1
 
0.3%
Other values (314) 314
96.9%
2024-05-18T08:55:39.288607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2242
34.6%
1 946
14.6%
2 894
 
13.8%
F 648
 
10.0%
4 394
 
6.1%
7 367
 
5.7%
C 324
 
5.0%
D 324
 
5.0%
3 110
 
1.7%
9 98
 
1.5%
Other values (3) 133
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5184
80.0%
Uppercase Letter 1296
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2242
43.2%
1 946
18.2%
2 894
 
17.2%
4 394
 
7.6%
7 367
 
7.1%
3 110
 
2.1%
9 98
 
1.9%
8 47
 
0.9%
5 46
 
0.9%
6 40
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 648
50.0%
C 324
25.0%
D 324
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5184
80.0%
Latin 1296
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2242
43.2%
1 946
18.2%
2 894
 
17.2%
4 394
 
7.6%
7 367
 
7.1%
3 110
 
2.1%
9 98
 
1.9%
8 47
 
0.9%
5 46
 
0.9%
6 40
 
0.8%
Latin
ValueCountFrequency (%)
F 648
50.0%
C 324
25.0%
D 324
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2242
34.6%
1 946
14.6%
2 894
 
13.8%
F 648
 
10.0%
4 394
 
6.1%
7 367
 
5.7%
C 324
 
5.0%
D 324
 
5.0%
3 110
 
1.7%
9 98
 
1.5%
Other values (3) 133
 
2.1%

인허가일자
Date

Distinct294
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1981-09-22 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T08:55:39.852689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:55:40.387262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
284 
3
 
25
5
 
14
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 284
87.7%
3 25
 
7.7%
5 14
 
4.3%
4 1
 
0.3%

Length

2024-05-18T08:55:40.884024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:41.284725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 284
87.7%
3 25
 
7.7%
5 14
 
4.3%
4 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
284 
폐업
 
25
제외/삭제/전출
 
14
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.9259259
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 284
87.7%
폐업 25
 
7.7%
제외/삭제/전출 14
 
4.3%
취소/말소/만료/정지/중지 1
 
0.3%

Length

2024-05-18T08:55:41.811110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:42.142028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 284
87.7%
폐업 25
 
7.7%
제외/삭제/전출 14
 
4.3%
취소/말소/만료/정지/중지 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
13
284 
3
 
25
15
 
14
35
 
1

Length

Max length2
Median length2
Mean length1.9228395
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 284
87.7%
3 25
 
7.7%
15 14
 
4.3%
35 1
 
0.3%

Length

2024-05-18T08:55:42.555131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:42.884185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 284
87.7%
3 25
 
7.7%
15 14
 
4.3%
35 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
284 
폐업
 
25
전출
 
14
직권말소
 
1

Length

Max length4
Median length3
Mean length2.882716
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 284
87.7%
폐업 25
 
7.7%
전출 14
 
4.3%
직권말소 1
 
0.3%

Length

2024-05-18T08:55:43.279576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:43.531940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 284
87.7%
폐업 25
 
7.7%
전출 14
 
4.3%
직권말소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)100.0%
Missing284
Missing (%)87.7%
Memory size2.7 KiB
Minimum2007-01-23 00:00:00
Maximum2024-05-10 00:00:00
2024-05-18T08:55:43.758205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:55:44.061965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

전화번호
Text

MISSING 

Distinct200
Distinct (%)98.0%
Missing120
Missing (%)37.0%
Memory size2.7 KiB
2024-05-18T08:55:44.764735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8970588
Min length8

Characters and Unicode

Total characters2019
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

Unique196 ?
Unique (%)96.1%

Sample

1st row796-0088
2nd row796-0088
3rd row717-2337
4th row02-6373-3000
5th row790-0361
ValueCountFrequency (%)
3273-0156 2
 
1.0%
796-0088 2
 
1.0%
02-798-7587 2
 
1.0%
717-6636 2
 
1.0%
07077332025 1
 
0.5%
02-2135-9536 1
 
0.5%
02-794-2457 1
 
0.5%
02-3443-1187 1
 
0.5%
02-797-2013 1
 
0.5%
02-309-1079 1
 
0.5%
Other values (190) 190
93.1%
2024-05-18T08:55:45.964112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 290
14.4%
7 275
13.6%
- 274
13.6%
2 219
10.8%
1 176
8.7%
3 148
7.3%
5 144
7.1%
4 136
6.7%
9 122
6.0%
6 120
5.9%
Other values (2) 115
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1744
86.4%
Dash Punctuation 274
 
13.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 290
16.6%
7 275
15.8%
2 219
12.6%
1 176
10.1%
3 148
8.5%
5 144
8.3%
4 136
7.8%
9 122
7.0%
6 120
6.9%
8 114
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 290
14.4%
7 275
13.6%
- 274
13.6%
2 219
10.8%
1 176
8.7%
3 148
7.3%
5 144
7.1%
4 136
6.7%
9 122
6.0%
6 120
5.9%
Other values (2) 115
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 290
14.4%
7 275
13.6%
- 274
13.6%
2 219
10.8%
1 176
8.7%
3 148
7.3%
5 144
7.1%
4 136
6.7%
9 122
6.0%
6 120
5.9%
Other values (2) 115
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)56.2%
Missing235
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean140718.81
Minimum140013
Maximum140905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:55:46.445413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140013
5-th percentile140090
Q1140780
median140849
Q3140879
95-th percentile140895.2
Maximum140905
Range892
Interquartile range (IQR)99

Descriptive statistics

Standard deviation291.83899
Coefficient of variation (CV)0.002073916
Kurtosis0.93835562
Mean140718.81
Median Absolute Deviation (MAD)31
Skewness-1.6615456
Sum12523974
Variance85169.997
MonotonicityNot monotonic
2024-05-18T08:55:46.975050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140847 9
 
2.8%
140090 6
 
1.9%
140878 6
 
1.9%
140850 4
 
1.2%
140879 4
 
1.2%
140880 3
 
0.9%
140871 3
 
0.9%
140849 3
 
0.9%
140882 2
 
0.6%
140896 2
 
0.6%
Other values (40) 47
 
14.5%
(Missing) 235
72.5%
ValueCountFrequency (%)
140013 2
 
0.6%
140026 1
 
0.3%
140090 6
1.9%
140111 1
 
0.3%
140113 1
 
0.3%
140131 1
 
0.3%
140132 1
 
0.3%
140160 1
 
0.3%
140240 2
 
0.6%
140712 2
 
0.6%
ValueCountFrequency (%)
140905 1
0.3%
140903 1
0.3%
140901 1
0.3%
140896 2
0.6%
140894 1
0.3%
140893 1
0.3%
140892 1
0.3%
140891 1
0.3%
140889 1
0.3%
140887 2
0.6%

지번주소
Text

Distinct248
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-18T08:55:47.412275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length25.743827
Min length18

Characters and Unicode

Total characters8341
Distinct characters231
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

Unique205 ?
Unique (%)63.3%

Sample

1st row서울특별시 용산구 서빙고동 ***-*번지
2nd row서울특별시 용산구 서빙고동 ***-*번지
3rd row서울특별시 용산구 갈월동 **-*번지
4th row서울특별시 용산구 원효로*가 **-*번지
5th row서울특별시 용산구 한강로*가 **-***번지 용산역
ValueCountFrequency (%)
서울특별시 324
20.6%
용산구 323
20.5%
167
10.6%
번지 158
10.0%
한강로*가 85
 
5.4%
한남동 68
 
4.3%
원효로*가 49
 
3.1%
호 45
 
2.9%
층 38
 
2.4%
이태원동 28
 
1.8%
Other values (168) 290
18.4%
2024-05-18T08:55:48.848272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1593
19.1%
1440
17.3%
산 351
 
4.2%
용 349
 
4.2%
서 337
 
4.0%
시 329
 
3.9%
구 328
 
3.9%
울 327
 
3.9%
별 325
 
3.9%
특 324
 
3.9%
Other values (221) 2638
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4975
59.6%
Other Punctuation 1596
 
19.1%
Space Separator 1440
 
17.3%
Dash Punctuation 280
 
3.4%
Uppercase Letter 22
 
0.3%
Decimal Number 12
 
0.1%
Lowercase Letter 7
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 351
 
7.1%
용 349
 
7.0%
서 337
 
6.8%
시 329
 
6.6%
구 328
 
6.6%
울 327
 
6.6%
별 325
 
6.5%
특 324
 
6.5%
동 216
 
4.3%
지 172
 
3.5%
Other values (188) 1917
38.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
22.7%
C 4
18.2%
L 2
 
9.1%
G 2
 
9.1%
K 2
 
9.1%
B 1
 
4.5%
Y 1
 
4.5%
H 1
 
4.5%
F 1
 
4.5%
E 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
7 2
16.7%
2 2
16.7%
6 2
16.7%
9 2
16.7%
1 2
16.7%
3 1
8.3%
8 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
e 1
14.3%
i 1
14.3%
t 1
14.3%
r 1
14.3%
o 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1593
99.8%
, 2
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4975
59.6%
Common 3337
40.0%
Latin 29
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 351
 
7.1%
용 349
 
7.0%
서 337
 
6.8%
시 329
 
6.6%
구 328
 
6.6%
울 327
 
6.6%
별 325
 
6.5%
특 324
 
6.5%
동 216
 
4.3%
지 172
 
3.5%
Other values (188) 1917
38.5%
Latin
ValueCountFrequency (%)
A 5
17.2%
C 4
13.8%
L 2
 
6.9%
G 2
 
6.9%
l 2
 
6.9%
K 2
 
6.9%
e 1
 
3.4%
B 1
 
3.4%
Y 1
 
3.4%
i 1
 
3.4%
Other values (8) 8
27.6%
Common
ValueCountFrequency (%)
* 1593
47.7%
1440
43.2%
- 280
 
8.4%
) 4
 
0.1%
( 4
 
0.1%
7 2
 
0.1%
2 2
 
0.1%
6 2
 
0.1%
9 2
 
0.1%
, 2
 
0.1%
Other values (5) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4975
59.6%
ASCII 3366
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1593
47.3%
1440
42.8%
- 280
 
8.3%
A 5
 
0.1%
C 4
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
L 2
 
0.1%
G 2
 
0.1%
7 2
 
0.1%
Other values (23) 30
 
0.9%
Hangul
ValueCountFrequency (%)
산 351
 
7.1%
용 349
 
7.0%
서 337
 
6.8%
시 329
 
6.6%
구 328
 
6.6%
울 327
 
6.6%
별 325
 
6.5%
특 324
 
6.5%
동 216
 
4.3%
지 172
 
3.5%
Other values (188) 1917
38.5%

도로명주소
Text

MISSING 

Distinct277
Distinct (%)91.1%
Missing20
Missing (%)6.2%
Memory size2.7 KiB
2024-05-18T08:55:49.603924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length34.713816
Min length22

Characters and Unicode

Total characters10553
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

Unique253 ?
Unique (%)83.2%

Sample

1st row서울특별시 용산구 녹사평대로**길 ** (서빙고동)
2nd row서울특별시 용산구 녹사평대로**길 ** (서빙고동)
3rd row서울특별시 용산구 한강대로 *** (갈월동)
4th row서울특별시 용산구 원효로**길 **-* (원효로*가)
5th row서울특별시 용산구 한강대로**길 **, 현대아이파크몰 테마마크 *층 *-*호 (한강로*가)
ValueCountFrequency (%)
308
15.8%
서울특별시 304
15.6%
용산구 303
15.5%
호 125
 
6.4%
층 119
 
6.1%
한남동 58
 
3.0%
한강로*가 54
 
2.8%
원효로*가 30
 
1.5%
한강대로**길 27
 
1.4%
이태원동 26
 
1.3%
Other values (256) 597
30.6%
2024-05-18T08:55:50.822395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1776
16.8%
1725
 
16.3%
로 422
 
4.0%
서 339
 
3.2%
산 329
 
3.1%
용 328
 
3.1%
, 322
 
3.1%
시 310
 
2.9%
구 309
 
2.9%
) 307
 
2.9%
Other values (231) 4386
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6005
56.9%
Other Punctuation 2099
 
19.9%
Space Separator 1725
 
16.3%
Close Punctuation 307
 
2.9%
Open Punctuation 307
 
2.9%
Dash Punctuation 56
 
0.5%
Uppercase Letter 27
 
0.3%
Decimal Number 16
 
0.2%
Lowercase Letter 8
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 422
 
7.0%
서 339
 
5.6%
산 329
 
5.5%
용 328
 
5.5%
시 310
 
5.2%
구 309
 
5.1%
울 307
 
5.1%
별 305
 
5.1%
특 304
 
5.1%
한 244
 
4.1%
Other values (199) 2808
46.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
29.6%
A 6
22.2%
C 3
 
11.1%
L 2
 
7.4%
K 2
 
7.4%
H 1
 
3.7%
F 1
 
3.7%
Y 1
 
3.7%
T 1
 
3.7%
I 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
0 2
 
12.5%
5 1
 
6.2%
6 1
 
6.2%
7 1
 
6.2%
3 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
e 2
25.0%
r 1
12.5%
t 1
12.5%
o 1
12.5%
i 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 1776
84.6%
, 322
 
15.3%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1725
100.0%
Close Punctuation
ValueCountFrequency (%)
) 307
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6005
56.9%
Common 4513
42.8%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 422
 
7.0%
서 339
 
5.6%
산 329
 
5.5%
용 328
 
5.5%
시 310
 
5.2%
구 309
 
5.1%
울 307
 
5.1%
별 305
 
5.1%
특 304
 
5.1%
한 244
 
4.1%
Other values (199) 2808
46.8%
Latin
ValueCountFrequency (%)
B 8
22.9%
A 6
17.1%
C 3
 
8.6%
l 2
 
5.7%
e 2
 
5.7%
L 2
 
5.7%
K 2
 
5.7%
r 1
 
2.9%
t 1
 
2.9%
H 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
* 1776
39.4%
1725
38.2%
, 322
 
7.1%
) 307
 
6.8%
( 307
 
6.8%
- 56
 
1.2%
2 6
 
0.1%
1 4
 
0.1%
~ 3
 
0.1%
0 2
 
< 0.1%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6005
56.9%
ASCII 4548
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1776
39.1%
1725
37.9%
, 322
 
7.1%
) 307
 
6.8%
( 307
 
6.8%
- 56
 
1.2%
B 8
 
0.2%
2 6
 
0.1%
A 6
 
0.1%
1 4
 
0.1%
Other values (22) 31
 
0.7%
Hangul
ValueCountFrequency (%)
로 422
 
7.0%
서 339
 
5.6%
산 329
 
5.5%
용 328
 
5.5%
시 310
 
5.2%
구 309
 
5.1%
울 307
 
5.1%
별 305
 
5.1%
특 304
 
5.1%
한 244
 
4.1%
Other values (199) 2808
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)36.6%
Missing111
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean4378.0798
Minimum4300
Maximum6151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:55:51.229825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4312
Q14344
median4376
Q34400
95-th percentile4419
Maximum6151
Range1851
Interquartile range (IQR)56

Descriptive statistics

Standard deviation126.82434
Coefficient of variation (CV)0.028968028
Kurtosis182.28293
Mean4378.0798
Median Absolute Deviation (MAD)27
Skewness12.988034
Sum932531
Variance16084.413
MonotonicityNot monotonic
2024-05-18T08:55:51.680729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4382 13
 
4.0%
4417 8
 
2.5%
4410 8
 
2.5%
4376 8
 
2.5%
4387 7
 
2.2%
4317 6
 
1.9%
4419 6
 
1.9%
4328 5
 
1.5%
4391 5
 
1.5%
4373 5
 
1.5%
Other values (68) 142
43.8%
(Missing) 111
34.3%
ValueCountFrequency (%)
4300 2
0.6%
4302 1
 
0.3%
4303 1
 
0.3%
4304 1
 
0.3%
4308 1
 
0.3%
4309 3
0.9%
4312 3
0.9%
4313 2
0.6%
4315 2
0.6%
4316 3
0.9%
ValueCountFrequency (%)
6151 1
 
0.3%
4427 2
 
0.6%
4423 1
 
0.3%
4420 4
1.2%
4419 6
1.9%
4418 4
1.2%
4417 8
2.5%
4415 1
 
0.3%
4412 1
 
0.3%
4411 1
 
0.3%

사업장명
Text

Distinct321
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-18T08:55:52.315156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length8.3858025
Min length2

Characters and Unicode

Total characters2717
Distinct characters378
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

Unique318 ?
Unique (%)98.1%

Sample

1st row(주)미디아트
2nd row(주)한국미디어
3rd row(주)국제영상
4th row(주)화인프로덕션
5th row대원미디어(주)
ValueCountFrequency (%)
주식회사 63
 
15.0%
스튜디오 7
 
1.7%
미디어인큐베이터오리 2
 
0.5%
유한회사 2
 
0.5%
studio 2
 
0.5%
서클컴퍼니 2
 
0.5%
대원씨아이 2
 
0.5%
주)여행공방 1
 
0.2%
인디씨에프 1
 
0.2%
주)에잇펙스코리아 1
 
0.2%
Other values (338) 338
80.3%
2024-05-18T08:55:53.681865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 204
 
7.5%
) 149
 
5.5%
( 149
 
5.5%
이 104
 
3.8%
97
 
3.6%
스 95
 
3.5%
디 86
 
3.2%
사 78
 
2.9%
회 70
 
2.6%
식 67
 
2.5%
Other values (368) 1618
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2180
80.2%
Close Punctuation 149
 
5.5%
Open Punctuation 149
 
5.5%
Space Separator 97
 
3.6%
Lowercase Letter 65
 
2.4%
Uppercase Letter 52
 
1.9%
Decimal Number 15
 
0.6%
Other Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 204
 
9.4%
이 104
 
4.8%
스 95
 
4.4%
디 86
 
3.9%
사 78
 
3.6%
회 70
 
3.2%
식 67
 
3.1%
트 44
 
2.0%
리 41
 
1.9%
미 41
 
1.9%
Other values (319) 1350
61.9%
Uppercase Letter
ValueCountFrequency (%)
D 7
13.5%
C 5
 
9.6%
O 4
 
7.7%
S 4
 
7.7%
N 4
 
7.7%
I 4
 
7.7%
V 3
 
5.8%
A 3
 
5.8%
E 3
 
5.8%
P 2
 
3.8%
Other values (9) 13
25.0%
Lowercase Letter
ValueCountFrequency (%)
i 7
10.8%
e 6
9.2%
o 6
9.2%
u 6
9.2%
t 5
 
7.7%
c 5
 
7.7%
a 5
 
7.7%
s 4
 
6.2%
d 4
 
6.2%
r 3
 
4.6%
Other values (7) 14
21.5%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 4
26.7%
3 3
20.0%
5 2
13.3%
9 1
 
6.7%
0 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
, 1
 
10.0%
/ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
80.2%
Common 420
 
15.5%
Latin 117
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 204
 
9.4%
이 104
 
4.8%
스 95
 
4.4%
디 86
 
3.9%
사 78
 
3.6%
회 70
 
3.2%
식 67
 
3.1%
트 44
 
2.0%
리 41
 
1.9%
미 41
 
1.9%
Other values (319) 1350
61.9%
Latin
ValueCountFrequency (%)
D 7
 
6.0%
i 7
 
6.0%
e 6
 
5.1%
o 6
 
5.1%
u 6
 
5.1%
t 5
 
4.3%
c 5
 
4.3%
a 5
 
4.3%
C 5
 
4.3%
O 4
 
3.4%
Other values (26) 61
52.1%
Common
ValueCountFrequency (%)
) 149
35.5%
( 149
35.5%
97
23.1%
. 7
 
1.7%
2 4
 
1.0%
1 4
 
1.0%
3 3
 
0.7%
5 2
 
0.5%
9 1
 
0.2%
& 1
 
0.2%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2180
80.2%
ASCII 537
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 204
 
9.4%
이 104
 
4.8%
스 95
 
4.4%
디 86
 
3.9%
사 78
 
3.6%
회 70
 
3.2%
식 67
 
3.1%
트 44
 
2.0%
리 41
 
1.9%
미 41
 
1.9%
Other values (319) 1350
61.9%
ASCII
ValueCountFrequency (%)
) 149
27.7%
( 149
27.7%
97
18.1%
. 7
 
1.3%
D 7
 
1.3%
i 7
 
1.3%
e 6
 
1.1%
o 6
 
1.1%
u 6
 
1.1%
t 5
 
0.9%
Other values (39) 98
18.2%

최종수정일자
Date

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2006-03-30 09:51:45
Maximum2024-05-16 09:02:33
2024-05-18T08:55:54.696382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:55:55.484768image/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 size2.7 KiB
I
258 
U
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 258
79.6%
U 66
 
20.4%

Length

2024-05-18T08:55:56.317251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:55:56.958666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 258
79.6%
u 66
 
20.4%

데이터갱신일자
Date

Distinct158
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:08:00
2024-05-18T08:55:57.504374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:55:58.188041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct259
Distinct (%)81.4%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean197992.3
Minimum195563.54
Maximum203852.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:55:58.699590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195563.54
5-th percentile196060.56
Q1196700.36
median197415.66
Q3199441.81
95-th percentile200689.99
Maximum203852.06
Range8288.5199
Interquartile range (IQR)2741.4548

Descriptive statistics

Standard deviation1598.4155
Coefficient of variation (CV)0.0080731196
Kurtosis-0.75112066
Mean197992.3
Median Absolute Deviation (MAD)881.98664
Skewness0.62467316
Sum62961551
Variance2554932.2
MonotonicityNot monotonic
2024-05-18T08:55:59.266887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196060.559012563 5
 
1.5%
200319.06075632 5
 
1.5%
197056.728931087 4
 
1.2%
196727.535753619 4
 
1.2%
197525.407310462 3
 
0.9%
200571.725921493 3
 
0.9%
197071.403205622 3
 
0.9%
199218.006960189 3
 
0.9%
196118.749575977 3
 
0.9%
199678.685128404 3
 
0.9%
Other values (249) 282
87.0%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
195563.535062555 1
0.3%
195563.788982635 1
0.3%
195709.974530031 1
0.3%
195733.868987977 1
0.3%
195766.891381353 1
0.3%
195793.00799323 1
0.3%
195801.05735366 1
0.3%
195832.910788385 1
0.3%
195923.205904131 2
0.6%
195945.469244939 1
0.3%
ValueCountFrequency (%)
203852.055002405 1
0.3%
201070.187785081 1
0.3%
201045.981104044 1
0.3%
201035.9411494 1
0.3%
201010.528343669 1
0.3%
200890.057021973 1
0.3%
200834.388023075 1
0.3%
200821.875716478 1
0.3%
200775.183106359 1
0.3%
200768.615520848 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct259
Distinct (%)81.4%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean448141.2
Minimum444671.37
Maximum450288.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:55:59.607811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444671.37
5-th percentile446888.51
Q1447732.81
median448018.98
Q3448577.44
95-th percentile449698.45
Maximum450288.56
Range5617.193
Interquartile range (IQR)844.63219

Descriptive statistics

Standard deviation832.91844
Coefficient of variation (CV)0.0018586071
Kurtosis0.90182513
Mean448141.2
Median Absolute Deviation (MAD)378.05237
Skewness0.22914777
Sum1.425089 × 108
Variance693753.13
MonotonicityNot monotonic
2024-05-18T08:56:00.183216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447732.807254308 5
 
1.5%
448640.981454745 5
 
1.5%
447077.126289262 4
 
1.2%
447868.128308607 4
 
1.2%
449844.319841559 3
 
0.9%
447793.924058853 3
 
0.9%
447073.62284187 3
 
0.9%
447693.259192926 3
 
0.9%
447760.157527455 3
 
0.9%
448086.564575334 3
 
0.9%
Other values (249) 282
87.0%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
444671.368760749 1
 
0.3%
446114.155238838 1
 
0.3%
446427.192414074 1
 
0.3%
446467.825066182 1
 
0.3%
446501.294833776 1
 
0.3%
446503.162895472 3
0.9%
446523.320099625 1
 
0.3%
446532.720632291 1
 
0.3%
446562.961275535 1
 
0.3%
446801.359490614 1
 
0.3%
ValueCountFrequency (%)
450288.561776513 1
0.3%
450234.154184667 1
0.3%
450203.211599534 1
0.3%
450189.739550615 2
0.6%
450162.299770537 1
0.3%
450150.14820076 1
0.3%
450126.951675139 1
0.3%
450107.464524877 1
0.3%
450086.192790792 1
0.3%
450007.904505908 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
비디오물제작업
215 
<NA>
109 

Length

Max length7
Median length7
Mean length5.9907407
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 215
66.4%
<NA> 109
33.6%

Length

2024-05-18T08:56:00.686641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:01.036706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 215
66.4%
na 109
33.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
231 
유통관련업
93 

Length

Max length5
Median length4
Mean length4.287037
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 231
71.3%
유통관련업 93
28.7%

Length

2024-05-18T08:56:01.332861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:01.608647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 231
71.3%
유통관련업 93
28.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing301
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean1.8695652
Minimum0
Maximum16
Zeros16
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:56:01.845923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile5.9
Maximum16
Range16
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.7087654
Coefficient of variation (CV)1.9837582
Kurtosis9.3590876
Mean1.8695652
Median Absolute Deviation (MAD)0
Skewness2.8002604
Sum43
Variance13.754941
MonotonicityNot monotonic
2024-05-18T08:56:02.162702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
 
4.9%
4 2
 
0.6%
5 2
 
0.6%
6 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
(Missing) 301
92.9%
ValueCountFrequency (%)
0 16
4.9%
3 1
 
0.3%
4 2
 
0.6%
5 2
 
0.6%
6 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
16 1
 
0.3%
6 1
 
0.3%
5 2
 
0.6%
4 2
 
0.6%
3 1
 
0.3%
0 16
4.9%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
316 
기타
 
8

Length

Max length4
Median length4
Mean length3.9506173
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 316
97.5%
기타 8
 
2.5%

Length

2024-05-18T08:56:02.474977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:02.892847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 316
97.5%
기타 8
 
2.5%

제작취급품목내용
Text

MISSING 

Distinct104
Distinct (%)77.0%
Missing189
Missing (%)58.3%
Memory size2.7 KiB
2024-05-18T08:56:03.342863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length11.140741
Min length2

Characters and Unicode

Total characters1504
Distinct characters141
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

Unique95 ?
Unique (%)70.4%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 36
 
10.7%
및 32
 
9.5%
제작 23
 
6.8%
영상 15
 
4.5%
광고 15
 
4.5%
홍보영상 10
 
3.0%
영상물 10
 
3.0%
영화 9
 
2.7%
광고영상 9
 
2.7%
비디오 7
 
2.1%
Other values (126) 170
50.6%
2024-05-18T08:56:04.317095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
13.4%
영 116
 
7.7%
상 93
 
6.2%
물 81
 
5.4%
디 80
 
5.3%
, 79
 
5.3%
비 74
 
4.9%
오 74
 
4.9%
제 46
 
3.1%
작 46
 
3.1%
Other values (131) 613
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1151
76.5%
Space Separator 202
 
13.4%
Other Punctuation 87
 
5.8%
Uppercase Letter 55
 
3.7%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 116
 
10.1%
상 93
 
8.1%
물 81
 
7.0%
디 80
 
7.0%
비 74
 
6.4%
오 74
 
6.4%
제 46
 
4.0%
작 46
 
4.0%
보 37
 
3.2%
홍 36
 
3.1%
Other values (115) 468
40.7%
Uppercase Letter
ValueCountFrequency (%)
D 21
38.2%
V 16
29.1%
C 4
 
7.3%
H 3
 
5.5%
R 3
 
5.5%
T 3
 
5.5%
F 2
 
3.6%
S 2
 
3.6%
P 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 79
90.8%
/ 8
 
9.2%
Space Separator
ValueCountFrequency (%)
202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1151
76.5%
Common 298
 
19.8%
Latin 55
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 116
 
10.1%
상 93
 
8.1%
물 81
 
7.0%
디 80
 
7.0%
비 74
 
6.4%
오 74
 
6.4%
제 46
 
4.0%
작 46
 
4.0%
보 37
 
3.2%
홍 36
 
3.1%
Other values (115) 468
40.7%
Latin
ValueCountFrequency (%)
D 21
38.2%
V 16
29.1%
C 4
 
7.3%
H 3
 
5.5%
R 3
 
5.5%
T 3
 
5.5%
F 2
 
3.6%
S 2
 
3.6%
P 1
 
1.8%
Common
ValueCountFrequency (%)
202
67.8%
, 79
 
26.5%
/ 8
 
2.7%
( 3
 
1.0%
) 3
 
1.0%
3 2
 
0.7%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1151
76.5%
ASCII 353
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
57.2%
, 79
 
22.4%
D 21
 
5.9%
V 16
 
4.5%
/ 8
 
2.3%
C 4
 
1.1%
H 3
 
0.8%
R 3
 
0.8%
( 3
 
0.8%
) 3
 
0.8%
Other values (6) 11
 
3.1%
Hangul
ValueCountFrequency (%)
영 116
 
10.1%
상 93
 
8.1%
물 81
 
7.0%
디 80
 
7.0%
비 74
 
6.4%
오 74
 
6.4%
제 46
 
4.0%
작 46
 
4.0%
보 37
 
3.2%
홍 36
 
3.1%
Other values (115) 468
40.7%

시설면적
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)94.8%
Missing208
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean2404.7693
Minimum0
Maximum266696.74
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:56:04.697831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.73
Q142.5575
median75.44
Q3116.9375
95-th percentile398.51
Maximum266696.74
Range266696.74
Interquartile range (IQR)74.38

Descriptive statistics

Standard deviation24752.553
Coefficient of variation (CV)10.293109
Kurtosis115.99466
Mean2404.7693
Median Absolute Deviation (MAD)37.36
Skewness10.769961
Sum278953.24
Variance6.1268886 × 108
MonotonicityNot monotonic
2024-05-18T08:56:05.171286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 3
 
0.9%
94.0 2
 
0.6%
84.78 2
 
0.6%
90.0 2
 
0.6%
0.0 2
 
0.6%
131.83 1
 
0.3%
111.9 1
 
0.3%
59.7 1
 
0.3%
125.0 1
 
0.3%
86.5 1
 
0.3%
Other values (100) 100
30.9%
(Missing) 208
64.2%
ValueCountFrequency (%)
0.0 2
0.6%
3.3 1
0.3%
4.72 1
0.3%
6.0 1
0.3%
11.4 1
0.3%
15.84 1
0.3%
20.0 1
0.3%
21.48 1
0.3%
21.78 1
0.3%
22.28 1
0.3%
ValueCountFrequency (%)
266696.74 1
0.3%
690.9 1
0.3%
562.85 1
0.3%
544.5 1
0.3%
518.68 1
0.3%
477.8 1
0.3%
372.08 1
0.3%
297.52 1
0.3%
283.8 1
0.3%
273.46 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)24.2%
Missing291
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean2.1212121
Minimum0
Maximum15
Zeros15
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-18T08:56:05.556270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.4
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2572762
Coefficient of variation (CV)1.5355731
Kurtosis8.1320557
Mean2.1212121
Median Absolute Deviation (MAD)1
Skewness2.6340921
Sum70
Variance10.609848
MonotonicityNot monotonic
2024-05-18T08:56:05.955340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 15
 
4.6%
3 6
 
1.9%
1 3
 
0.9%
2 3
 
0.9%
4 3
 
0.9%
15 1
 
0.3%
5 1
 
0.3%
11 1
 
0.3%
(Missing) 291
89.8%
ValueCountFrequency (%)
0 15
4.6%
1 3
 
0.9%
2 3
 
0.9%
3 6
 
1.9%
4 3
 
0.9%
5 1
 
0.3%
11 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
15 1
 
0.3%
11 1
 
0.3%
5 1
 
0.3%
4 3
 
0.9%
3 6
 
1.9%
2 3
 
0.9%
1 3
 
0.9%
0 15
4.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
305 
0
 
16
1
 
3

Length

Max length4
Median length4
Mean length3.8240741
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> 305
94.1%
0 16
 
4.9%
1 3
 
0.9%

Length

2024-05-18T08:56:06.410038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:06.775836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 305
94.1%
0 16
 
4.9%
1 3
 
0.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
309 
사무실
 
9
근린생활시설
 
4
다세대주택
 
1
아파트
 
1

Length

Max length6
Median length4
Mean length3.9969136
Min length3

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 309
95.4%
사무실 9
 
2.8%
근린생활시설 4
 
1.2%
다세대주택 1
 
0.3%
아파트 1
 
0.3%

Length

2024-05-18T08:56:07.195964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:07.546027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
95.4%
사무실 9
 
2.8%
근린생활시설 4
 
1.2%
다세대주택 1
 
0.3%
아파트 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
307 
0
 
17

Length

Max length4
Median length4
Mean length3.8425926
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> 307
94.8%
0 17
 
5.2%

Length

2024-05-18T08:56:08.017573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:08.360874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
94.8%
0 17
 
5.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
307 
0
 
17

Length

Max length4
Median length4
Mean length3.8425926
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> 307
94.8%
0 17
 
5.2%

Length

2024-05-18T08:56:08.913706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:09.374509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
94.8%
0 17
 
5.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
307 
0
 
17

Length

Max length4
Median length4
Mean length3.8425926
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> 307
94.8%
0 17
 
5.2%

Length

2024-05-18T08:56:09.783861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:10.095604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
94.8%
0 17
 
5.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
307 
0
 
17

Length

Max length4
Median length4
Mean length3.8425926
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> 307
94.8%
0 17
 
5.2%

Length

2024-05-18T08:56:10.451287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:11.112403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
94.8%
0 17
 
5.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
307 
0
 
17

Length

Max length4
Median length4
Mean length3.8425926
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> 307
94.8%
0 17
 
5.2%

Length

2024-05-18T08:56:11.645382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:12.016328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
94.8%
0 17
 
5.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
314 
일반주거지역
 
6
준주거지역
 
3
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.0524691
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 314
96.9%
일반주거지역 6
 
1.9%
준주거지역 3
 
0.9%
일반상업지역 1
 
0.3%

Length

2024-05-18T08:56:12.466070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:56:12.872288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 314
96.9%
일반주거지역 6
 
1.9%
준주거지역 3
 
0.9%
일반상업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF124107198100000119810922<NA>1영업/정상13영업중<NA><NA><NA><NA>796-0088<NA>140240서울특별시 용산구 서빙고동 ***-*번지서울특별시 용산구 녹사평대로**길 ** (서빙고동)<NA>(주)미디아트2006-03-30 10:15:34I2018-08-31 23:59:59.0<NA>199354.607759446503.162895비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFF124107198200000119820914<NA>1영업/정상13영업중<NA><NA><NA><NA>796-0088<NA>140240서울특별시 용산구 서빙고동 ***-*번지서울특별시 용산구 녹사평대로**길 ** (서빙고동)<NA>(주)한국미디어2006-03-30 10:18:53I2018-08-31 23:59:59.0<NA>199354.607759446503.162895비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFF124107198200000219820807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 **-*번지서울특별시 용산구 한강대로 *** (갈월동)<NA>(주)국제영상2010-12-23 16:25:50I2018-08-31 23:59:59.0<NA>197450.832481449012.518444비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFF124107198500000119851116<NA>1영업/정상13영업중<NA><NA><NA><NA>717-2337<NA>140850서울특별시 용산구 원효로*가 **-*번지서울특별시 용산구 원효로**길 **-* (원효로*가)<NA>(주)화인프로덕션2006-04-03 09:59:28I2018-08-31 23:59:59.0<NA>195832.910788447839.14388비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFF124107198900000119891202<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6373-3000<NA><NA>서울특별시 용산구 한강로*가 **-***번지 용산역서울특별시 용산구 한강대로**길 **, 현대아이파크몰 테마마크 *층 *-*호 (한강로*가)4377대원미디어(주)2018-02-22 17:39:37I2018-08-31 23:59:59.0<NA>196762.077395447480.039577비디오물제작업<NA>6기타비디오물<NA>1<NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
53020000CDFF124107199200000119920316<NA>1영업/정상13영업중<NA><NA><NA><NA>790-0361<NA>140880서울특별시 용산구 한강로*가 **-***번지 대원빌딩 *층서울특별시 용산구 한강대로**길 *-** (한강로*가,대원빌딩 *층)<NA>챔프영상2006-03-31 10:06:49I2018-08-31 23:59:59.0<NA>196678.783699447045.206052비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFF124107199200000219921102<NA>1영업/정상13영업중<NA><NA><NA><NA>426-5151<NA>140881서울특별시 용산구 한강로*가 **-***번지서울특별시 용산구 한강대로**나길 ** (한강로*가)<NA>양지진흥개발(주)2006-04-03 10:02:52I2018-08-31 23:59:59.0<NA>196755.916741447229.99363비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF124107199400000119940502<NA>1영업/정상13영업중<NA><NA><NA><NA>793-9356<NA>140871서울특별시 용산구 한강로*가 ***-**번지서울특별시 용산구 한강대로**길 ** (한강로*가)<NA>아림테크2006-04-03 10:04:07I2018-08-31 23:59:59.0<NA>197177.712791447319.792474비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFF124107199400000219940909<NA>1영업/정상13영업중<NA><NA><NA><NA>795-5765<NA>140891서울특별시 용산구 한남동 ***-*번지서울특별시 용산구 대사관로**길 *-** (한남동)<NA>하이콤2006-04-03 10:05:10I2018-08-31 23:59:59.0<NA>200015.396056447904.674483비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFF124107199400000319941109<NA>1영업/정상13영업중<NA><NA><NA><NA>020796-9277<NA><NA>서울특별시 용산구 한강로*가 ***-*번지 ***호<NA><NA>한빛영상제작(주)2009-11-24 17:52:33I2018-08-31 23:59:59.0<NA>197305.335732447633.426424비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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3153020000CDFF12410720240000042024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 ***-**서울특별시 용산구 보광로 **, ***호 (보광동)4394스튜디오 컴애즈유아2024-02-26 09:04:04I2023-12-01 22:08:00.0<NA>199987.579926447112.455577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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