Overview

Dataset statistics

Number of variables56
Number of observations452
Missing cells13326
Missing cells (%)52.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory214.2 KiB
Average record size in memory485.3 B

Variable types

Categorical15
Text8
DateTime5
Unsupported21
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17384/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
영업상태코드 is highly imbalanced (64.1%)Imbalance
영업상태명 is highly imbalanced (64.1%)Imbalance
상세영업상태코드 is highly imbalanced (64.1%)Imbalance
상세영업상태명 is highly imbalanced (64.1%)Imbalance
문화사업자구분명 is highly imbalanced (63.9%)Imbalance
지하층수 is highly imbalanced (78.7%)Imbalance
통로너비 is highly imbalanced (66.5%)Imbalance
조명시설조도 is highly imbalanced (66.5%)Imbalance
노래방실수 is highly imbalanced (66.5%)Imbalance
청소년실수 is highly imbalanced (66.5%)Imbalance
총게임기수 is highly imbalanced (66.5%)Imbalance
지역구분명 is highly imbalanced (86.7%)Imbalance
인허가취소일자 has 451 (99.8%) missing valuesMissing
폐업일자 has 392 (86.7%) missing valuesMissing
휴업시작일자 has 452 (100.0%) missing valuesMissing
휴업종료일자 has 452 (100.0%) missing valuesMissing
재개업일자 has 452 (100.0%) missing valuesMissing
전화번호 has 327 (72.3%) missing valuesMissing
소재지면적 has 452 (100.0%) missing valuesMissing
소재지우편번호 has 424 (93.8%) missing valuesMissing
도로명우편번호 has 53 (11.7%) missing valuesMissing
업태구분명 has 452 (100.0%) missing valuesMissing
총층수 has 410 (90.7%) missing valuesMissing
주변환경명 has 450 (99.6%) missing valuesMissing
제작취급품목내용 has 223 (49.3%) missing valuesMissing
시설면적 has 246 (54.4%) missing valuesMissing
지상층수 has 406 (89.8%) missing valuesMissing
건물용도명 has 450 (99.6%) missing valuesMissing
비상계단여부 has 452 (100.0%) missing valuesMissing
비상구여부 has 452 (100.0%) missing valuesMissing
자동환기여부 has 452 (100.0%) missing valuesMissing
청소년실여부 has 452 (100.0%) missing valuesMissing
특수조명여부 has 452 (100.0%) missing valuesMissing
방음시설여부 has 452 (100.0%) missing valuesMissing
비디오재생기명 has 452 (100.0%) missing valuesMissing
조명시설유무 has 452 (100.0%) missing valuesMissing
음향시설여부 has 452 (100.0%) missing valuesMissing
편의시설여부 has 452 (100.0%) missing valuesMissing
소방시설여부 has 452 (100.0%) missing valuesMissing
기존게임업외업종명 has 452 (100.0%) missing valuesMissing
제공게임물명 has 452 (100.0%) missing valuesMissing
공연장형태구분명 has 452 (100.0%) missing valuesMissing
품목명 has 452 (100.0%) missing valuesMissing
최초등록시점 has 452 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 28 (6.2%) zerosZeros
지상층수 has 28 (6.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:50:30.544220
Analysis finished2024-05-11 06:50:31.982168
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3170000
452 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 452
100.0%

Length

2024-05-11T15:50:32.079444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:32.210389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 452
100.0%

관리번호
Text

UNIQUE 

Distinct452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:50:32.496378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9040
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

Unique452 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071999000001
2nd rowCDFF1241072000000001
3rd rowCDFF1241072000000002
4th rowCDFF1241072000000003
5th rowCDFF1241072001000001
ValueCountFrequency (%)
cdff1241071999000001 1
 
0.2%
cdff1241072021000046 1
 
0.2%
cdff1241072022000013 1
 
0.2%
cdff1241072022000012 1
 
0.2%
cdff1241072022000011 1
 
0.2%
cdff1241072022000010 1
 
0.2%
cdff1241072022000009 1
 
0.2%
cdff1241072022000008 1
 
0.2%
cdff1241072022000007 1
 
0.2%
cdff1241072022000006 1
 
0.2%
Other values (442) 442
97.8%
2024-05-11T15:50:33.061050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3004
33.2%
2 1352
15.0%
1 1285
14.2%
F 904
 
10.0%
4 585
 
6.5%
7 520
 
5.8%
C 452
 
5.0%
D 452
 
5.0%
3 173
 
1.9%
5 93
 
1.0%
Other values (3) 220
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7232
80.0%
Uppercase Letter 1808
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3004
41.5%
2 1352
18.7%
1 1285
17.8%
4 585
 
8.1%
7 520
 
7.2%
3 173
 
2.4%
5 93
 
1.3%
6 81
 
1.1%
9 72
 
1.0%
8 67
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 904
50.0%
C 452
25.0%
D 452
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7232
80.0%
Latin 1808
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3004
41.5%
2 1352
18.7%
1 1285
17.8%
4 585
 
8.1%
7 520
 
7.2%
3 173
 
2.4%
5 93
 
1.3%
6 81
 
1.1%
9 72
 
1.0%
8 67
 
0.9%
Latin
ValueCountFrequency (%)
F 904
50.0%
C 452
25.0%
D 452
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3004
33.2%
2 1352
15.0%
1 1285
14.2%
F 904
 
10.0%
4 585
 
6.5%
7 520
 
5.8%
C 452
 
5.0%
D 452
 
5.0%
3 173
 
1.9%
5 93
 
1.0%
Other values (3) 220
 
2.4%

인허가일자
Date

Distinct413
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1995-05-11 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:50:33.380551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:33.859258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing451
Missing (%)99.8%
Memory size3.7 KiB
Minimum2023-12-27 00:00:00
Maximum2023-12-27 00:00:00
2024-05-11T15:50:34.066925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:34.222701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
391 
3
 
33
5
 
27
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 391
86.5%
3 33
 
7.3%
5 27
 
6.0%
4 1
 
0.2%

Length

2024-05-11T15:50:34.458372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:34.634128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 391
86.5%
3 33
 
7.3%
5 27
 
6.0%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
391 
폐업
 
33
제외/삭제/전출
 
27
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.9800885
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 391
86.5%
폐업 33
 
7.3%
제외/삭제/전출 27
 
6.0%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T15:50:34.858749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:35.060654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 391
86.5%
폐업 33
 
7.3%
제외/삭제/전출 27
 
6.0%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
13
391 
3
 
33
15
 
27
30
 
1

Length

Max length2
Median length2
Mean length1.9269912
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 391
86.5%
3 33
 
7.3%
15 27
 
6.0%
30 1
 
0.2%

Length

2024-05-11T15:50:35.322847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:35.554414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 391
86.5%
3 33
 
7.3%
15 27
 
6.0%
30 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업중
391 
폐업
 
33
전출
 
27
허가취소
 
1

Length

Max length4
Median length3
Mean length2.869469
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 391
86.5%
폐업 33
 
7.3%
전출 27
 
6.0%
허가취소 1
 
0.2%

Length

2024-05-11T15:50:35.834440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:36.090220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 391
86.5%
폐업 33
 
7.3%
전출 27
 
6.0%
허가취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct59
Distinct (%)98.3%
Missing392
Missing (%)86.7%
Memory size3.7 KiB
Minimum2008-10-28 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T15:50:36.342175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:36.653379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

전화번호
Text

MISSING 

Distinct123
Distinct (%)98.4%
Missing327
Missing (%)72.3%
Memory size3.7 KiB
2024-05-11T15:50:37.169027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.912
Min length8

Characters and Unicode

Total characters1364
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

Unique121 ?
Unique (%)96.8%

Sample

1st row865-1700
2nd row859-9924
3rd row893-1300
4th row3281-4385
5th row863-0745
ValueCountFrequency (%)
02-2051-5770 2
 
1.6%
1577-8449 2
 
1.6%
070-7018-0625 1
 
0.8%
070-7525-8680 1
 
0.8%
070-7699-0883 1
 
0.8%
070-4012-6634 1
 
0.8%
02-858-1101 1
 
0.8%
070-4050-8101 1
 
0.8%
02-869-0510 1
 
0.8%
02-3444-2890 1
 
0.8%
Other values (113) 113
90.4%
2024-05-11T15:50:37.974103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
17.4%
- 210
15.4%
2 185
13.6%
5 101
7.4%
7 100
7.3%
6 100
7.3%
1 95
7.0%
4 95
7.0%
3 90
 
6.6%
8 85
 
6.2%
Other values (2) 66
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1152
84.5%
Dash Punctuation 210
 
15.4%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
20.6%
2 185
16.1%
5 101
8.8%
7 100
8.7%
6 100
8.7%
1 95
8.2%
4 95
8.2%
3 90
 
7.8%
8 85
 
7.4%
9 64
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
17.4%
- 210
15.4%
2 185
13.6%
5 101
7.4%
7 100
7.3%
6 100
7.3%
1 95
7.0%
4 95
7.0%
3 90
 
6.6%
8 85
 
6.2%
Other values (2) 66
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
17.4%
- 210
15.4%
2 185
13.6%
5 101
7.4%
7 100
7.3%
6 100
7.3%
1 95
7.0%
4 95
7.0%
3 90
 
6.6%
8 85
 
6.2%
Other values (2) 66
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)39.3%
Missing424
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean153775.46
Minimum153030
Maximum153862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:38.207910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153030
5-th percentile153768
Q1153801
median153802.5
Q3153803
95-th percentile153825.85
Maximum153862
Range832
Interquartile range (IQR)2

Descriptive statistics

Standard deviation147.14933
Coefficient of variation (CV)0.00095691031
Kurtosis27.119172
Mean153775.46
Median Absolute Deviation (MAD)1.5
Skewness-5.1688715
Sum4305713
Variance21652.925
MonotonicityNot monotonic
2024-05-11T15:50:38.429733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
153803 9
 
2.0%
153801 6
 
1.3%
153802 4
 
0.9%
153768 2
 
0.4%
153808 1
 
0.2%
153820 1
 
0.2%
153829 1
 
0.2%
153030 1
 
0.2%
153862 1
 
0.2%
153769 1
 
0.2%
(Missing) 424
93.8%
ValueCountFrequency (%)
153030 1
 
0.2%
153768 2
 
0.4%
153769 1
 
0.2%
153801 6
1.3%
153802 4
0.9%
153803 9
2.0%
153808 1
 
0.2%
153818 1
 
0.2%
153820 1
 
0.2%
153829 1
 
0.2%
ValueCountFrequency (%)
153862 1
 
0.2%
153829 1
 
0.2%
153820 1
 
0.2%
153818 1
 
0.2%
153808 1
 
0.2%
153803 9
2.0%
153802 4
0.9%
153801 6
1.3%
153769 1
 
0.2%
153768 2
 
0.4%

지번주소
Text

Distinct271
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:50:38.830157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37.5
Mean length30.424779
Min length17

Characters and Unicode

Total characters13752
Distinct characters182
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

Unique189 ?
Unique (%)41.8%

Sample

1st row서울특별시 금천구 독산동 ***-**번지
2nd row서울특별시 금천구 독산동 ***-*번지
3rd row서울특별시 금천구 독산동 ****-**번지
4th row서울특별시 금천구 가산동 ***-*번지
5th row서울특별시 금천구 가산동 ***번지
ValueCountFrequency (%)
서울특별시 451
18.1%
금천구 451
18.1%
가산동 409
16.5%
289
11.6%
번지 161
 
6.5%
호 128
 
5.2%
독산동 29
 
1.2%
가산 24
 
1.0%
에이스 22
 
0.9%
에이스하이엔드타워*차 21
 
0.8%
Other values (148) 500
20.1%
2024-05-11T15:50:39.594498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2639
19.2%
2169
15.8%
산 535
 
3.9%
동 487
 
3.5%
시 477
 
3.5%
서 455
 
3.3%
천 455
 
3.3%
금 453
 
3.3%
가 453
 
3.3%
구 452
 
3.3%
Other values (172) 5177
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8313
60.4%
Other Punctuation 2648
 
19.3%
Space Separator 2169
 
15.8%
Dash Punctuation 402
 
2.9%
Uppercase Letter 193
 
1.4%
Decimal Number 20
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 535
 
6.4%
동 487
 
5.9%
시 477
 
5.7%
서 455
 
5.5%
천 455
 
5.5%
금 453
 
5.4%
가 453
 
5.4%
구 452
 
5.4%
울 451
 
5.4%
특 451
 
5.4%
Other values (137) 3644
43.8%
Uppercase Letter
ValueCountFrequency (%)
T 34
17.6%
I 30
15.5%
S 14
 
7.3%
C 13
 
6.7%
K 12
 
6.2%
J 11
 
5.7%
B 11
 
5.7%
A 10
 
5.2%
Y 9
 
4.7%
W 8
 
4.1%
Other values (6) 41
21.2%
Decimal Number
ValueCountFrequency (%)
5 6
30.0%
0 3
15.0%
1 3
15.0%
9 3
15.0%
3 2
 
10.0%
2 1
 
5.0%
4 1
 
5.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 2639
99.7%
, 4
 
0.2%
/ 3
 
0.1%
. 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
2169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8313
60.4%
Common 5244
38.1%
Latin 195
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 535
 
6.4%
동 487
 
5.9%
시 477
 
5.7%
서 455
 
5.5%
천 455
 
5.5%
금 453
 
5.4%
가 453
 
5.4%
구 452
 
5.4%
울 451
 
5.4%
특 451
 
5.4%
Other values (137) 3644
43.8%
Latin
ValueCountFrequency (%)
T 34
17.4%
I 30
15.4%
S 14
 
7.2%
C 13
 
6.7%
K 12
 
6.2%
J 11
 
5.6%
B 11
 
5.6%
A 10
 
5.1%
Y 9
 
4.6%
W 8
 
4.1%
Other values (8) 43
22.1%
Common
ValueCountFrequency (%)
* 2639
50.3%
2169
41.4%
- 402
 
7.7%
5 6
 
0.1%
, 4
 
0.1%
0 3
 
0.1%
1 3
 
0.1%
/ 3
 
0.1%
9 3
 
0.1%
. 2
 
< 0.1%
Other values (7) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8312
60.4%
ASCII 5439
39.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2639
48.5%
2169
39.9%
- 402
 
7.4%
T 34
 
0.6%
I 30
 
0.6%
S 14
 
0.3%
C 13
 
0.2%
K 12
 
0.2%
J 11
 
0.2%
B 11
 
0.2%
Other values (25) 104
 
1.9%
Hangul
ValueCountFrequency (%)
산 535
 
6.4%
동 487
 
5.9%
시 477
 
5.7%
서 455
 
5.5%
천 455
 
5.5%
금 453
 
5.4%
가 453
 
5.4%
구 452
 
5.4%
울 451
 
5.4%
특 451
 
5.4%
Other values (136) 3643
43.8%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

도로명주소
Text

Distinct358
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:50:40.166017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length58
Mean length42.971239
Min length24

Characters and Unicode

Total characters19423
Distinct characters207
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

Unique296 ?
Unique (%)65.5%

Sample

1st row서울특별시 금천구 독산로**길 ** (독산동)
2nd row서울특별시 금천구 남부순환로 **** (독산동)
3rd row서울특별시 금천구 시흥대로 *** (독산동)
4th row서울특별시 금천구 가산로 *** (가산동)
5th row서울특별시 금천구 가산디지털*로 ** (가산동)
ValueCountFrequency (%)
472
14.1%
서울특별시 451
13.4%
금천구 451
13.4%
호 381
11.4%
가산동 368
11.0%
가산디지털*로 276
 
8.2%
층 75
 
2.2%
벚꽃로 40
 
1.2%
디지털로*길 29
 
0.9%
독산동 29
 
0.9%
Other values (232) 782
23.3%
2024-05-11T15:50:40.935658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3600
18.5%
2949
 
15.2%
산 855
 
4.4%
가 754
 
3.9%
, 588
 
3.0%
동 537
 
2.8%
시 490
 
2.5%
서 477
 
2.5%
) 457
 
2.4%
( 457
 
2.4%
Other values (197) 8259
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10997
56.6%
Other Punctuation 4198
 
21.6%
Space Separator 2949
 
15.2%
Close Punctuation 457
 
2.4%
Open Punctuation 457
 
2.4%
Uppercase Letter 255
 
1.3%
Dash Punctuation 60
 
0.3%
Decimal Number 37
 
0.2%
Math Symbol 11
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 855
 
7.8%
가 754
 
6.9%
동 537
 
4.9%
시 490
 
4.5%
서 477
 
4.3%
금 456
 
4.1%
천 455
 
4.1%
구 452
 
4.1%
울 451
 
4.1%
별 451
 
4.1%
Other values (159) 5619
51.1%
Uppercase Letter
ValueCountFrequency (%)
B 39
15.3%
T 35
13.7%
I 33
12.9%
A 29
11.4%
C 17
 
6.7%
S 14
 
5.5%
K 11
 
4.3%
J 11
 
4.3%
Y 11
 
4.3%
H 10
 
3.9%
Other values (7) 45
17.6%
Decimal Number
ValueCountFrequency (%)
1 10
27.0%
0 6
16.2%
2 6
16.2%
6 5
13.5%
8 3
 
8.1%
9 2
 
5.4%
5 2
 
5.4%
4 2
 
5.4%
3 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
* 3600
85.8%
, 588
 
14.0%
. 5
 
0.1%
/ 3
 
0.1%
? 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
2949
100.0%
Close Punctuation
ValueCountFrequency (%)
) 457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10997
56.6%
Common 8169
42.1%
Latin 257
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 855
 
7.8%
가 754
 
6.9%
동 537
 
4.9%
시 490
 
4.5%
서 477
 
4.3%
금 456
 
4.1%
천 455
 
4.1%
구 452
 
4.1%
울 451
 
4.1%
별 451
 
4.1%
Other values (159) 5619
51.1%
Common
ValueCountFrequency (%)
* 3600
44.1%
2949
36.1%
, 588
 
7.2%
) 457
 
5.6%
( 457
 
5.6%
- 60
 
0.7%
~ 11
 
0.1%
1 10
 
0.1%
0 6
 
0.1%
2 6
 
0.1%
Other values (9) 25
 
0.3%
Latin
ValueCountFrequency (%)
B 39
15.2%
T 35
13.6%
I 33
12.8%
A 29
11.3%
C 17
 
6.6%
S 14
 
5.4%
K 11
 
4.3%
J 11
 
4.3%
Y 11
 
4.3%
H 10
 
3.9%
Other values (9) 47
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10996
56.6%
ASCII 8426
43.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3600
42.7%
2949
35.0%
, 588
 
7.0%
) 457
 
5.4%
( 457
 
5.4%
- 60
 
0.7%
B 39
 
0.5%
T 35
 
0.4%
I 33
 
0.4%
A 29
 
0.3%
Other values (28) 179
 
2.1%
Hangul
ValueCountFrequency (%)
산 855
 
7.8%
가 754
 
6.9%
동 537
 
4.9%
시 490
 
4.5%
서 477
 
4.3%
금 456
 
4.1%
천 455
 
4.1%
구 452
 
4.1%
울 451
 
4.1%
별 451
 
4.1%
Other values (158) 5618
51.1%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)12.5%
Missing53
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean9295.9449
Minimum8500
Maximum153801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:41.158403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501
Q18505
median8511
Q38589
95-th percentile8595
Maximum153801
Range145301
Interquartile range (IQR)84

Descriptive statistics

Standard deviation10261.897
Coefficient of variation (CV)1.1039111
Kurtosis195.43248
Mean9295.9449
Median Absolute Deviation (MAD)8
Skewness13.992853
Sum3709082
Variance1.0530653 × 108
MonotonicityNot monotonic
2024-05-11T15:50:41.402035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8506 38
 
8.4%
8507 28
 
6.2%
8503 26
 
5.8%
8511 26
 
5.8%
8505 24
 
5.3%
8504 21
 
4.6%
8591 20
 
4.4%
8501 20
 
4.4%
8588 18
 
4.0%
8594 17
 
3.8%
Other values (40) 161
35.6%
(Missing) 53
 
11.7%
ValueCountFrequency (%)
8500 9
 
2.0%
8501 20
4.4%
8502 14
 
3.1%
8503 26
5.8%
8504 21
4.6%
8505 24
5.3%
8506 38
8.4%
8507 28
6.2%
8510 13
 
2.9%
8511 26
5.8%
ValueCountFrequency (%)
153801 1
0.2%
153023 1
0.2%
21315 1
0.2%
8656 1
0.2%
8653 1
0.2%
8646 1
0.2%
8644 1
0.2%
8639 1
0.2%
8635 1
0.2%
8631 1
0.2%

사업장명
Text

Distinct445
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T15:50:41.842489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length8.5
Min length2

Characters and Unicode

Total characters3842
Distinct characters387
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

Unique438 ?
Unique (%)96.9%

Sample

1st rowDNB제작실
2nd row컴 패밀리
3rd row(주)이플렉
4th row(주)예엔터테인먼트
5th row디지텍미디어(주)
ValueCountFrequency (%)
주식회사 139
 
22.2%
스튜디오 5
 
0.8%
주 3
 
0.5%
이야픽쳐스 2
 
0.3%
주)마음 2
 
0.3%
주)셀빅 2
 
0.3%
이노테크미디어 2
 
0.3%
주)에스씨디 2
 
0.3%
주)이너스커뮤니티 2
 
0.3%
주)미디어케이션 2
 
0.3%
Other values (462) 466
74.3%
2024-05-11T15:50:42.616164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 326
 
8.5%
) 193
 
5.0%
( 192
 
5.0%
이 184
 
4.8%
175
 
4.6%
사 152
 
4.0%
스 147
 
3.8%
회 146
 
3.8%
식 142
 
3.7%
디 105
 
2.7%
Other values (377) 2080
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3208
83.5%
Close Punctuation 193
 
5.0%
Open Punctuation 192
 
5.0%
Space Separator 175
 
4.6%
Uppercase Letter 38
 
1.0%
Other Symbol 20
 
0.5%
Decimal Number 10
 
0.3%
Lowercase Letter 3
 
0.1%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 326
 
10.2%
이 184
 
5.7%
사 152
 
4.7%
스 147
 
4.6%
회 146
 
4.6%
식 142
 
4.4%
디 105
 
3.3%
에 62
 
1.9%
어 58
 
1.8%
미 51
 
1.6%
Other values (343) 1835
57.2%
Uppercase Letter
ValueCountFrequency (%)
L 5
13.2%
B 4
 
10.5%
I 3
 
7.9%
R 3
 
7.9%
M 3
 
7.9%
D 2
 
5.3%
S 2
 
5.3%
E 2
 
5.3%
O 2
 
5.3%
T 2
 
5.3%
Other values (9) 10
26.3%
Decimal Number
ValueCountFrequency (%)
5 2
20.0%
2 2
20.0%
1 2
20.0%
8 1
10.0%
3 1
10.0%
0 1
10.0%
9 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
n 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3228
84.0%
Common 573
 
14.9%
Latin 41
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 326
 
10.1%
이 184
 
5.7%
사 152
 
4.7%
스 147
 
4.6%
회 146
 
4.5%
식 142
 
4.4%
디 105
 
3.3%
에 62
 
1.9%
어 58
 
1.8%
미 51
 
1.6%
Other values (344) 1855
57.5%
Latin
ValueCountFrequency (%)
L 5
 
12.2%
B 4
 
9.8%
I 3
 
7.3%
R 3
 
7.3%
M 3
 
7.3%
D 2
 
4.9%
S 2
 
4.9%
E 2
 
4.9%
O 2
 
4.9%
T 2
 
4.9%
Other values (11) 13
31.7%
Common
ValueCountFrequency (%)
) 193
33.7%
( 192
33.5%
175
30.5%
- 2
 
0.3%
5 2
 
0.3%
2 2
 
0.3%
1 2
 
0.3%
% 1
 
0.2%
8 1
 
0.2%
3 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3208
83.5%
ASCII 614
 
16.0%
None 20
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 326
 
10.2%
이 184
 
5.7%
사 152
 
4.7%
스 147
 
4.6%
회 146
 
4.6%
식 142
 
4.4%
디 105
 
3.3%
에 62
 
1.9%
어 58
 
1.8%
미 51
 
1.6%
Other values (343) 1835
57.2%
ASCII
ValueCountFrequency (%)
) 193
31.4%
( 192
31.3%
175
28.5%
L 5
 
0.8%
B 4
 
0.7%
I 3
 
0.5%
R 3
 
0.5%
M 3
 
0.5%
D 2
 
0.3%
S 2
 
0.3%
Other values (23) 32
 
5.2%
None
ValueCountFrequency (%)
㈜ 20
100.0%

최종수정일자
Date

UNIQUE 

Distinct452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2006-02-21 09:49:16
Maximum2024-05-08 17:53:50
2024-05-11T15:50:42.872551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:43.109439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
305 
U
147 

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 305
67.5%
U 147
32.5%

Length

2024-05-11T15:50:43.350049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:43.535651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 305
67.5%
u 147
32.5%

데이터갱신일자
Date

Distinct286
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:50:43.742657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:44.108865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct132
Distinct (%)29.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean189673.8
Minimum175126.16
Maximum192754.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:44.394267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175126.16
5-th percentile189055.14
Q1189358.57
median189575.82
Q3189879.45
95-th percentile190820.16
Maximum192754.35
Range17628.182
Interquartile range (IQR)520.8735

Descriptive statistics

Standard deviation899.98462
Coefficient of variation (CV)0.0047449074
Kurtosis152.42175
Mean189673.8
Median Absolute Deviation (MAD)274.82472
Skewness-8.8027691
Sum85542884
Variance809972.32
MonotonicityNot monotonic
2024-05-11T15:50:44.675121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189538.020935968 22
 
4.9%
189055.138252216 17
 
3.8%
189467.124186925 10
 
2.2%
189364.095969911 10
 
2.2%
190694.880295092 10
 
2.2%
189722.178532426 10
 
2.2%
189920.528610917 10
 
2.2%
189662.959175776 9
 
2.0%
189417.678263584 9
 
2.0%
189127.981104583 9
 
2.0%
Other values (122) 335
74.1%
ValueCountFrequency (%)
175126.163890762 1
 
0.2%
188965.473671835 1
 
0.2%
188968.189711073 2
 
0.4%
188979.225789508 2
 
0.4%
189016.465808265 3
 
0.7%
189031.670933573 1
 
0.2%
189055.138252216 17
3.8%
189065.818334596 5
 
1.1%
189089.927764903 4
 
0.9%
189092.729912585 1
 
0.2%
ValueCountFrequency (%)
192754.34619252 1
0.2%
192742.326147617 1
0.2%
192385.225875306 1
0.2%
191941.449524903 1
0.2%
191936.282312791 1
0.2%
191853.267992546 1
0.2%
191794.387105728 1
0.2%
191653.452784112 1
0.2%
191633.674109361 1
0.2%
191622.156646446 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct132
Distinct (%)29.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean441531.25
Minimum436985.86
Maximum446168.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:44.948584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436985.86
5-th percentile440349.99
Q1441142.65
median441731.61
Q3441997.33
95-th percentile442460.51
Maximum446168.15
Range9182.2905
Interquartile range (IQR)854.68564

Descriptive statistics

Standard deviation817.54798
Coefficient of variation (CV)0.0018516197
Kurtosis6.6887196
Mean441531.25
Median Absolute Deviation (MAD)388.95038
Skewness-1.2370121
Sum1.991306 × 108
Variance668384.7
MonotonicityNot monotonic
2024-05-11T15:50:45.595604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441982.427934953 22
 
4.9%
441958.334400683 17
 
3.8%
441780.0053985 10
 
2.2%
441746.981529543 10
 
2.2%
440764.426277932 10
 
2.2%
441920.972770099 10
 
2.2%
440521.85524888 10
 
2.2%
442139.514492212 9
 
2.0%
441342.660096623 9
 
2.0%
442460.505542105 9
 
2.0%
Other values (122) 335
74.1%
ValueCountFrequency (%)
436985.862177293 1
0.2%
437553.881820542 1
0.2%
437914.06299827 1
0.2%
438460.667319682 1
0.2%
438643.134944995 1
0.2%
438727.034928282 1
0.2%
438732.994399228 1
0.2%
438756.598068106 1
0.2%
438827.143732711 1
0.2%
439029.823242263 1
0.2%
ValueCountFrequency (%)
446168.152676331 1
 
0.2%
442636.320100968 2
 
0.4%
442585.933234852 4
0.9%
442569.300676147 4
0.9%
442562.722742062 4
0.9%
442493.020182986 3
 
0.7%
442478.356256941 4
0.9%
442460.505542105 9
2.0%
442417.955057116 4
0.9%
442338.144130222 5
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
비디오물제작업
247 
<NA>
205 

Length

Max length7
Median length7
Mean length5.6393805
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 247
54.6%
<NA> 205
45.4%

Length

2024-05-11T15:50:45.840841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:46.020748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 247
54.6%
na 205
45.4%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
421 
유통관련업
 
31

Length

Max length5
Median length4
Mean length4.0685841
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 421
93.1%
유통관련업 31
 
6.9%

Length

2024-05-11T15:50:46.267075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:46.443295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 421
93.1%
유통관련업 31
 
6.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)21.4%
Missing410
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean5.6666667
Minimum0
Maximum23
Zeros28
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:46.613659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311.75
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation8.666354
Coefficient of variation (CV)1.5293566
Kurtosis-0.428368
Mean5.6666667
Median Absolute Deviation (MAD)0
Skewness1.1043873
Sum238
Variance75.105691
MonotonicityNot monotonic
2024-05-11T15:50:46.819278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 28
 
6.2%
23 5
 
1.1%
18 3
 
0.7%
10 1
 
0.2%
13 1
 
0.2%
9 1
 
0.2%
11 1
 
0.2%
12 1
 
0.2%
14 1
 
0.2%
(Missing) 410
90.7%
ValueCountFrequency (%)
0 28
6.2%
9 1
 
0.2%
10 1
 
0.2%
11 1
 
0.2%
12 1
 
0.2%
13 1
 
0.2%
14 1
 
0.2%
18 3
 
0.7%
23 5
 
1.1%
ValueCountFrequency (%)
23 5
 
1.1%
18 3
 
0.7%
14 1
 
0.2%
13 1
 
0.2%
12 1
 
0.2%
11 1
 
0.2%
10 1
 
0.2%
9 1
 
0.2%
0 28
6.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing450
Missing (%)99.6%
Memory size3.7 KiB
2024-05-11T15:50:47.047081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T15:50:47.412086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct157
Distinct (%)68.6%
Missing223
Missing (%)49.3%
Memory size3.7 KiB
2024-05-11T15:50:47.834802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length9.5895197
Min length2

Characters and Unicode

Total characters2196
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)63.3%

Sample

1st row비디오물
2nd row비디오
3rd row비디오물
4th row영상물
5th row비디오물
ValueCountFrequency (%)
비디오물 56
 
12.5%
홍보영상 23
 
5.1%
영상 22
 
4.9%
및 21
 
4.7%
영상물 20
 
4.5%
제작 18
 
4.0%
광고 14
 
3.1%
홍보 12
 
2.7%
등 10
 
2.2%
광고영상 8
 
1.8%
Other values (174) 244
54.5%
2024-05-11T15:50:48.651191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
10.0%
영 195
 
8.9%
상 176
 
8.0%
, 118
 
5.4%
물 117
 
5.3%
디 102
 
4.6%
비 96
 
4.4%
오 95
 
4.3%
보 67
 
3.1%
홍 65
 
3.0%
Other values (166) 946
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1738
79.1%
Space Separator 219
 
10.0%
Other Punctuation 137
 
6.2%
Uppercase Letter 73
 
3.3%
Decimal Number 17
 
0.8%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 195
 
11.2%
상 176
 
10.1%
물 117
 
6.7%
디 102
 
5.9%
비 96
 
5.5%
오 95
 
5.5%
보 67
 
3.9%
홍 65
 
3.7%
제 49
 
2.8%
작 48
 
2.8%
Other values (143) 728
41.9%
Uppercase Letter
ValueCountFrequency (%)
D 27
37.0%
V 19
26.0%
R 9
 
12.3%
C 6
 
8.2%
F 4
 
5.5%
S 2
 
2.7%
T 2
 
2.7%
B 1
 
1.4%
O 1
 
1.4%
N 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
3 10
58.8%
6 2
 
11.8%
0 2
 
11.8%
4 2
 
11.8%
2 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 118
86.1%
/ 11
 
8.0%
. 7
 
5.1%
? 1
 
0.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
79.1%
Common 385
 
17.5%
Latin 73
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 195
 
11.2%
상 176
 
10.1%
물 117
 
6.7%
디 102
 
5.9%
비 96
 
5.5%
오 95
 
5.5%
보 67
 
3.9%
홍 65
 
3.7%
제 49
 
2.8%
작 48
 
2.8%
Other values (143) 728
41.9%
Common
ValueCountFrequency (%)
219
56.9%
, 118
30.6%
/ 11
 
2.9%
3 10
 
2.6%
. 7
 
1.8%
) 6
 
1.6%
( 6
 
1.6%
6 2
 
0.5%
0 2
 
0.5%
4 2
 
0.5%
Other values (2) 2
 
0.5%
Latin
ValueCountFrequency (%)
D 27
37.0%
V 19
26.0%
R 9
 
12.3%
C 6
 
8.2%
F 4
 
5.5%
S 2
 
2.7%
T 2
 
2.7%
B 1
 
1.4%
O 1
 
1.4%
N 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1738
79.1%
ASCII 458
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
47.8%
, 118
25.8%
D 27
 
5.9%
V 19
 
4.1%
/ 11
 
2.4%
3 10
 
2.2%
R 9
 
2.0%
. 7
 
1.5%
C 6
 
1.3%
) 6
 
1.3%
Other values (13) 26
 
5.7%
Hangul
ValueCountFrequency (%)
영 195
 
11.2%
상 176
 
10.1%
물 117
 
6.7%
디 102
 
5.9%
비 96
 
5.5%
오 95
 
5.5%
보 67
 
3.9%
홍 65
 
3.7%
제 49
 
2.8%
작 48
 
2.8%
Other values (143) 728
41.9%

시설면적
Real number (ℝ)

MISSING 

Distinct172
Distinct (%)83.5%
Missing246
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean175.71597
Minimum1
Maximum2256.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:48.954421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.25
Q145.395
median120.765
Q3191.665
95-th percentile495.3875
Maximum2256.23
Range2255.23
Interquartile range (IQR)146.27

Descriptive statistics

Standard deviation288.48699
Coefficient of variation (CV)1.6417801
Kurtosis34.19883
Mean175.71597
Median Absolute Deviation (MAD)75.075
Skewness5.4319855
Sum36197.49
Variance83224.744
MonotonicityNot monotonic
2024-05-11T15:50:49.250654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.6 5
 
1.1%
89.1 4
 
0.9%
82.13 3
 
0.7%
15.0 3
 
0.7%
6.0 3
 
0.7%
199.78 3
 
0.7%
179.07 2
 
0.4%
40.73 2
 
0.4%
126.36 2
 
0.4%
293.34 2
 
0.4%
Other values (162) 177
39.2%
(Missing) 246
54.4%
ValueCountFrequency (%)
1.0 1
 
0.2%
1.3 1
 
0.2%
2.5 1
 
0.2%
5.0 1
 
0.2%
6.0 3
0.7%
6.6 1
 
0.2%
7.8 1
 
0.2%
9.0 2
0.4%
10.0 2
0.4%
14.2 1
 
0.2%
ValueCountFrequency (%)
2256.23 1
0.2%
2216.69 1
0.2%
2058.28 1
0.2%
1428.2 1
0.2%
627.84 1
0.2%
618.9 1
0.2%
604.0 1
0.2%
558.97 1
0.2%
558.54 1
0.2%
549.06 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.3%
Missing406
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean4.9130435
Minimum0
Maximum20
Zeros28
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:50:49.453986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311.75
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation7.2105666
Coefficient of variation (CV)1.4676374
Kurtosis-0.49368226
Mean4.9130435
Median Absolute Deviation (MAD)0
Skewness1.0652948
Sum226
Variance51.992271
MonotonicityNot monotonic
2024-05-11T15:50:49.702964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 28
 
6.2%
20 4
 
0.9%
15 3
 
0.7%
13 2
 
0.4%
1 1
 
0.2%
14 1
 
0.2%
16 1
 
0.2%
6 1
 
0.2%
3 1
 
0.2%
7 1
 
0.2%
Other values (3) 3
 
0.7%
(Missing) 406
89.8%
ValueCountFrequency (%)
0 28
6.2%
1 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
7 1
 
0.2%
11 1
 
0.2%
12 1
 
0.2%
13 2
 
0.4%
14 1
 
0.2%
ValueCountFrequency (%)
20 4
0.9%
16 1
 
0.2%
15 3
0.7%
14 1
 
0.2%
13 2
0.4%
12 1
 
0.2%
11 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
415 
0
 
28
3
 
7
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7544248
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 415
91.8%
0 28
 
6.2%
3 7
 
1.5%
5 1
 
0.2%
2 1
 
0.2%

Length

2024-05-11T15:50:49.919266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:50.103766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 415
91.8%
0 28
 
6.2%
3 7
 
1.5%
5 1
 
0.2%
2 1
 
0.2%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing450
Missing (%)99.6%
Memory size3.7 KiB
2024-05-11T15:50:50.271379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사무실
2nd row사무실
ValueCountFrequency (%)
사무실 2
100.0%
2024-05-11T15:50:50.669624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
424 
0
 
28

Length

Max length4
Median length4
Mean length3.8141593
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> 424
93.8%
0 28
 
6.2%

Length

2024-05-11T15:50:50.920092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:51.112738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
93.8%
0 28
 
6.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
424 
0
 
28

Length

Max length4
Median length4
Mean length3.8141593
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> 424
93.8%
0 28
 
6.2%

Length

2024-05-11T15:50:51.307968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:51.465087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
93.8%
0 28
 
6.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
424 
0
 
28

Length

Max length4
Median length4
Mean length3.8141593
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> 424
93.8%
0 28
 
6.2%

Length

2024-05-11T15:50:51.638524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:51.803173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
93.8%
0 28
 
6.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
424 
0
 
28

Length

Max length4
Median length4
Mean length3.8141593
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> 424
93.8%
0 28
 
6.2%

Length

2024-05-11T15:50:51.959174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:52.126660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
93.8%
0 28
 
6.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
424 
0
 
28

Length

Max length4
Median length4
Mean length3.8141593
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> 424
93.8%
0 28
 
6.2%

Length

2024-05-11T15:50:52.315319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:52.518166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
93.8%
0 28
 
6.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing452
Missing (%)100.0%
Memory size4.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
438 
준공업지역
 
13
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.0331858
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 438
96.9%
준공업지역 13
 
2.9%
일반상업지역 1
 
0.2%

Length

2024-05-11T15:50:52.739747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:52.954169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 438
96.9%
준공업지역 13
 
2.9%
일반상업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF124107199900000119990812<NA>1영업/정상13영업중<NA><NA><NA><NA>865-1700<NA>153808서울특별시 금천구 독산동 ***-**번지서울특별시 금천구 독산로**길 ** (독산동)<NA>DNB제작실2007-02-16 15:44:06I2018-08-31 23:59:59.0<NA>191372.395002440742.552942비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFF124107200000000120000415<NA>1영업/정상13영업중<NA><NA><NA><NA>859-9924<NA>153820서울특별시 금천구 독산동 ***-*번지서울특별시 금천구 남부순환로 **** (독산동)<NA>컴 패밀리2007-02-16 15:17:06I2018-08-31 23:59:59.0<NA>191794.387106442013.609096비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFF124107200000000220000108<NA>1영업/정상13영업중<NA><NA><NA><NA>893-1300<NA>153829서울특별시 금천구 독산동 ****-**번지서울특별시 금천구 시흥대로 *** (독산동)<NA>(주)이플렉2007-02-16 15:37:56I2018-08-31 23:59:59.0<NA>190829.487527440308.231967비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33170000CDFF124107200000000320000729<NA>1영업/정상13영업중<NA><NA><NA><NA>3281-4385<NA>153801서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산로 *** (가산동)<NA>(주)예엔터테인먼트2007-02-16 15:41:09I2018-08-31 23:59:59.0<NA>190334.090802441682.049582비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFF124107200100000120010320<NA>1영업/정상13영업중<NA><NA><NA><NA>863-0745<NA>153803서울특별시 금천구 가산동 ***번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>디지텍미디어(주)2007-02-16 15:55:31I2018-08-31 23:59:59.0<NA>189975.894747440742.22348비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF124107200100000220010323<NA>1영업/정상13영업중<NA><NA><NA><NA>865-6745<NA><NA>서울특별시 금천구 독산동 ***-*번지 ***호서울특별시 금천구 남부순환로 **** (독산동)8548도서출판 그룹필2011-10-30 14:39:58I2018-08-31 23:59:59.0<NA>191941.449525442055.183453비디오물제작업<NA><NA><NA>비디오물90.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF124107200100000320010323<NA>1영업/정상13영업중<NA><NA><NA><NA>2107-3620<NA><NA>서울특별시 금천구 가산동 ***번지 대륭테크노*층서울특별시 금천구 가산디지털*로 *** (가산동)8505(주)유진테크2013-12-26 16:58:50I2018-08-31 23:59:59.0<NA>189228.282679441767.908596비디오물제작업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFF124107200100000420011109<NA>3폐업3폐업20100513<NA><NA><NA>2025-6333<NA>153801서울특별시 금천구 가산동 **-**번지 한신아이티타워 *차 ***서울특별시 금천구 디지털로*길 ** (가산동,한신아이티타워 *차 ***)<NA>(주)미디어케이션2010-05-13 11:02:45I2018-08-31 23:59:59.0<NA>189834.383376441938.326057비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFF124107200200000120020726<NA>1영업/정상13영업중<NA><NA><NA><NA>806-8440<NA>153030서울특별시 금천구 시흥동 ****번지 벽산아파트 ***동 ***호서울특별시 금천구 금하로 *** (시흥동,벽산아파트 ***동 ***호)<NA>클레이하우스2007-02-16 16:06:09I2018-08-31 23:59:59.0<NA>192754.346193438827.143733비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFF124107200200000220020904<NA>1영업/정상13영업중<NA><NA><NA><NA>6292-6500<NA>153802서울특별시 금천구 가산동 ***-*번지 트윈테크타워 B동 ***호서울특별시 금천구 가산디지털*로 *** (가산동,트윈테크타워 B동 ***호)<NA>(주)에듀티브이2007-02-16 16:09:21I2018-08-31 23:59:59.0<NA>189575.815288441503.181731비디오물제작업유통관련업<NA><NA><NA><NA><NA><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
4423170000CDFF12410720240000172024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***-* 현대지식산업센터서울특별시 금천구 두산로 **, 현대지식산업센터 A동 **층 ****호 (독산동)8584스마트쿱(주)2024-04-17 09:47:27I2023-12-03 23:09:00.0<NA>190694.880295440764.426278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4433170000CDFF12410720240000182024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-864-1113<NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 ***, 대륭테크노타운**차 ***호,***호***호,***호,***호 (가산동)8507주식회사 닷2024-04-22 11:17:38I2023-12-03 22:04:00.0<NA>189590.415185441837.131446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4443170000CDFF12410720240000192024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** BYC HIGHCITY서울특별시 금천구 가산디지털*로 ***, BYC HIGHCITY B동 ****-가호 (가산동)8506주식회사 아이케미스트2024-04-22 16:42:24I2023-12-03 22:04:00.0<NA>189522.336722441654.010373<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4453170000CDFF12410720240000202024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*서울특별시 금천구 가산디지털*로 ***-**, 가산A*타워 ****호 (가산동)8503제이씨파트너스2024-04-22 16:43:41I2023-12-03 22:04:00.0<NA>189208.487614442298.78442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4463170000CDFF12410720240000212021-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-**서울특별시 금천구 디지털로 ***, 현대지식산업센터 A동 ****호 (가산동)8513주식회사 채널5코리아2024-04-24 11:01:56I2023-12-03 22:07:00.0<NA>189930.507904441616.46071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4473170000CDFF12410720240000222024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 에스티엑스브이타워서울특별시 금천구 가산디지털*로 ***, 에스티엑스브이타워 **층 ****호 (가산동)8507벨류어블2024-04-26 09:15:55I2023-12-03 22:08:00.0<NA>189647.046752441677.096205<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4483170000CDFF12410720240000232023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 에이스한솔타워서울특별시 금천구 가산디지털*로 **, 에이스한솔타워 ****호 (가산동)8591주식회사 피플리즘2024-05-02 11:37:08I2023-12-05 00:04:00.0<NA>189881.714657441010.052949<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4493170000CDFF12410720240000242024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-** 삼성리더스타워서울특별시 금천구 벚꽃로 ***, 삼성리더스타워 **층 ****-IF***호 (가산동)8511에스엔지그래픽스2024-05-02 10:53:05I2023-12-05 00:04:00.0<NA>189685.715834442026.454121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4503170000CDFF12410720240000252024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 가산테라타워서울특별시 금천구 디지털로**길 **, 가산테라타워 ****호, ****호 (가산동)8517주식회사 영픽쳐스2024-05-03 09:21:22I2023-12-05 00:05:00.0<NA>190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4513170000CDFF12410720240000262024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 ***-**, 하우스디 가산퍼스타 O***호 (가산동)8500잔나비와 묘한계책2024-05-08 17:53:50I2023-12-04 23:00:00.0<NA>189016.465808442320.784167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>