Overview

Dataset statistics

Number of variables56
Number of observations43
Missing cells1143
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.6 KiB
Average record size in memory491.1 B

Variable types

Categorical16
Text5
Numeric8
Unsupported26
DateTime1

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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17283/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태코드 is highly imbalanced (66.0%)Imbalance
영업상태명 is highly imbalanced (66.0%)Imbalance
상세영업상태코드 is highly imbalanced (66.0%)Imbalance
상세영업상태명 is highly imbalanced (66.0%)Imbalance
도로명우편번호 is highly imbalanced (76.2%)Imbalance
데이터갱신구분 is highly imbalanced (72.9%)Imbalance
데이터갱신일자 is highly imbalanced (79.9%)Imbalance
통로너비 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 2 (4.7%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 7 (16.3%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 9 (20.9%) missing valuesMissing
도로명주소 has 1 (2.3%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
제작취급품목내용 has 43 (100.0%) missing valuesMissing
지상층수 has 6 (14.0%) missing valuesMissing
조명시설조도 has 43 (100.0%) missing valuesMissing
노래방실수 has 43 (100.0%) missing valuesMissing
청소년실수 has 43 (100.0%) missing valuesMissing
비상계단여부 has 43 (100.0%) missing valuesMissing
비상구여부 has 43 (100.0%) missing valuesMissing
자동환기여부 has 43 (100.0%) missing valuesMissing
청소년실여부 has 43 (100.0%) missing valuesMissing
특수조명여부 has 43 (100.0%) missing valuesMissing
방음시설여부 has 43 (100.0%) missing valuesMissing
조명시설유무 has 43 (100.0%) missing valuesMissing
음향시설여부 has 43 (100.0%) missing valuesMissing
편의시설여부 has 43 (100.0%) missing valuesMissing
소방시설여부 has 43 (100.0%) missing valuesMissing
총게임기수 has 43 (100.0%) missing valuesMissing
기존게임업외업종명 has 43 (100.0%) missing valuesMissing
제공게임물명 has 43 (100.0%) missing valuesMissing
공연장형태구분명 has 43 (100.0%) missing valuesMissing
품목명 has 43 (100.0%) missing valuesMissing
최초등록시점 has 43 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
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
총게임기수 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 2 (4.7%) zerosZeros
시설면적 has 2 (4.7%) zerosZeros
지상층수 has 3 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:14:16.340584
Analysis finished2024-04-29 19:14:17.028394
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3160000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 43
100.0%

Length

2024-04-30T04:14:17.089748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:17.161340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-30T04:14:17.311524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
2.3%
cdff1242011999000001 1
 
2.3%
cdff1242012000000001 1
 
2.3%
cdff1242012000000002 1
 
2.3%
cdff1242012001000001 1
 
2.3%
cdff1242012001000002 1
 
2.3%
cdff1242012001000003 1
 
2.3%
cdff1242012001000004 1
 
2.3%
cdff1242012001000005 1
 
2.3%
cdff1242012001000006 1
 
2.3%
Other values (33) 33
76.7%
2024-04-30T04:14:17.599892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 287
33.4%
1 145
16.9%
2 118
13.7%
F 86
 
10.0%
9 52
 
6.0%
4 47
 
5.5%
C 43
 
5.0%
D 43
 
5.0%
6 23
 
2.7%
7 6
 
0.7%
Other values (3) 10
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 287
41.7%
1 145
21.1%
2 118
17.2%
9 52
 
7.6%
4 47
 
6.8%
6 23
 
3.3%
7 6
 
0.9%
3 5
 
0.7%
5 3
 
0.4%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 287
41.7%
1 145
21.1%
2 118
17.2%
9 52
 
7.6%
4 47
 
6.8%
6 23
 
3.3%
7 6
 
0.9%
3 5
 
0.7%
5 3
 
0.4%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 287
33.4%
1 145
16.9%
2 118
13.7%
F 86
 
10.0%
9 52
 
6.0%
4 47
 
5.5%
C 43
 
5.0%
D 43
 
5.0%
6 23
 
2.7%
7 6
 
0.7%
Other values (3) 10
 
1.2%

인허가일자
Real number (ℝ)

Distinct33
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19996320
Minimum19960904
Maximum20110201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:17.715596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960904
5-th percentile19960906
Q119960909
median19970605
Q320011116
95-th percentile20100671
Maximum20110201
Range149297
Interquartile range (IQR)50207

Descriptive statistics

Standard deviation45242.302
Coefficient of variation (CV)0.0022625314
Kurtosis0.97592016
Mean19996320
Median Absolute Deviation (MAD)9701
Skewness1.3188491
Sum8.5984176 × 108
Variance2.0468659 × 109
MonotonicityNot monotonic
2024-04-30T04:14:17.816181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
19960909 7
 
16.3%
19960906 3
 
7.0%
19960913 2
 
4.7%
20011116 2
 
4.7%
19960907 1
 
2.3%
19960905 1
 
2.3%
20110201 1
 
2.3%
20110107 1
 
2.3%
20100701 1
 
2.3%
20100402 1
 
2.3%
Other values (23) 23
53.5%
ValueCountFrequency (%)
19960904 1
 
2.3%
19960905 1
 
2.3%
19960906 3
7.0%
19960907 1
 
2.3%
19960909 7
16.3%
19960912 1
 
2.3%
19960913 2
 
4.7%
19960916 1
 
2.3%
19960917 1
 
2.3%
19960921 1
 
2.3%
ValueCountFrequency (%)
20110201 1
2.3%
20110107 1
2.3%
20100701 1
2.3%
20100402 1
2.3%
20070508 1
2.3%
20040806 1
2.3%
20030124 1
2.3%
20020514 1
2.3%
20020424 1
2.3%
20020311 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
39 
1
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 39
90.7%
1 2
 
4.7%
4 2
 
4.7%

Length

2024-04-30T04:14:17.928125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:18.015535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 39
90.7%
1 2
 
4.7%
4 2
 
4.7%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
39 
영업/정상
 
2
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.6976744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 39
90.7%
영업/정상 2
 
4.7%
취소/말소/만료/정지/중지 2
 
4.7%

Length

2024-04-30T04:14:18.109937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:18.200930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 39
90.7%
영업/정상 2
 
4.7%
취소/말소/만료/정지/중지 2
 
4.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
39 
13
 
2
35
 
2

Length

Max length2
Median length1
Mean length1.0930233
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 39
90.7%
13 2
 
4.7%
35 2
 
4.7%

Length

2024-04-30T04:14:18.290422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:18.375687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 39
90.7%
13 2
 
4.7%
35 2
 
4.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
39 
영업중
 
2
직권말소
 
2

Length

Max length4
Median length2
Mean length2.1395349
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 39
90.7%
영업중 2
 
4.7%
직권말소 2
 
4.7%

Length

2024-04-30T04:14:18.481985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:18.595250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 39
90.7%
영업중 2
 
4.7%
직권말소 2
 
4.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean20055916
Minimum19990509
Maximum20181017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:18.697766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990509
5-th percentile19991127
Q120020813
median20050418
Q320101011
95-th percentile20130930
Maximum20181017
Range190508
Interquartile range (IQR)80198

Descriptive statistics

Standard deviation48243.976
Coefficient of variation (CV)0.0024054736
Kurtosis-0.41244428
Mean20055916
Median Absolute Deviation (MAD)30794
Skewness0.53701394
Sum8.2229254 × 108
Variance2.3274812 × 109
MonotonicityNot monotonic
2024-04-30T04:14:18.804918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20051230 2
 
4.7%
20181017 1
 
2.3%
20121123 1
 
2.3%
20070807 1
 
2.3%
20020720 1
 
2.3%
20021107 1
 
2.3%
20020813 1
 
2.3%
20051208 1
 
2.3%
20071228 1
 
2.3%
20030311 1
 
2.3%
Other values (30) 30
69.8%
(Missing) 2
 
4.7%
ValueCountFrequency (%)
19990509 1
2.3%
19990727 1
2.3%
19991127 1
2.3%
19991202 1
2.3%
20000526 1
2.3%
20000731 1
2.3%
20000808 1
2.3%
20001102 1
2.3%
20010516 1
2.3%
20020720 1
2.3%
ValueCountFrequency (%)
20181017 1
2.3%
20140331 1
2.3%
20130930 1
2.3%
20121123 1
2.3%
20120330 1
2.3%
20110721 1
2.3%
20110615 1
2.3%
20110322 1
2.3%
20110128 1
2.3%
20101208 1
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct35
Distinct (%)97.2%
Missing7
Missing (%)16.3%
Memory size476.0 B
2024-04-30T04:14:18.971070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1666667
Min length8

Characters and Unicode

Total characters294
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row803-0987
2nd row683-3165
3rd row678-4219
4th row841-5055
5th row856-0630
ValueCountFrequency (%)
861-4586 2
 
5.6%
3281-6851 1
 
2.8%
803-0987 1
 
2.8%
2618-2958 1
 
2.8%
837-0164 1
 
2.8%
892-5172 1
 
2.8%
3281-5405 1
 
2.8%
857-1021 1
 
2.8%
2612-9447 1
 
2.8%
864-3602 1
 
2.8%
Other values (25) 25
69.4%
2024-04-30T04:14:19.250959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 40
13.6%
- 36
12.2%
6 35
11.9%
5 34
11.6%
1 28
9.5%
2 27
9.2%
7 23
7.8%
4 20
6.8%
3 19
6.5%
0 16
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
87.8%
Dash Punctuation 36
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 40
15.5%
6 35
13.6%
5 34
13.2%
1 28
10.9%
2 27
10.5%
7 23
8.9%
4 20
7.8%
3 19
7.4%
0 16
 
6.2%
9 16
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 40
13.6%
- 36
12.2%
6 35
11.9%
5 34
11.6%
1 28
9.5%
2 27
9.2%
7 23
7.8%
4 20
6.8%
3 19
6.5%
0 16
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 40
13.6%
- 36
12.2%
6 35
11.9%
5 34
11.6%
1 28
9.5%
2 27
9.2%
7 23
7.8%
4 20
6.8%
3 19
6.5%
0 16
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)52.9%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean152843.76
Minimum152800
Maximum152894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:19.358051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152800
5-th percentile152800.65
Q1152816.75
median152847
Q3152872.5
95-th percentile152884.9
Maximum152894
Range94
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation32.21336
Coefficient of variation (CV)0.00021076005
Kurtosis-1.5488767
Mean152843.76
Median Absolute Deviation (MAD)29.5
Skewness-0.0099315671
Sum5196688
Variance1037.7005
MonotonicityNot monotonic
2024-04-30T04:14:19.449343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
152880 6
14.0%
152801 4
9.3%
152826 3
 
7.0%
152871 3
 
7.0%
152800 2
 
4.7%
152894 2
 
4.7%
152824 2
 
4.7%
152847 2
 
4.7%
152819 1
 
2.3%
152873 1
 
2.3%
Other values (8) 8
18.6%
(Missing) 9
20.9%
ValueCountFrequency (%)
152800 2
4.7%
152801 4
9.3%
152806 1
 
2.3%
152809 1
 
2.3%
152816 1
 
2.3%
152819 1
 
2.3%
152824 2
4.7%
152825 1
 
2.3%
152826 3
7.0%
152847 2
4.7%
ValueCountFrequency (%)
152894 2
 
4.7%
152880 6
14.0%
152873 1
 
2.3%
152871 3
7.0%
152864 1
 
2.3%
152862 1
 
2.3%
152855 1
 
2.3%
152854 1
 
2.3%
152847 2
 
4.7%
152826 3
7.0%

지번주소
Text

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-30T04:14:19.621574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.27907
Min length21

Characters and Unicode

Total characters1044
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)86.0%

Sample

1st row서울특별시 구로구 가리봉동 127-14번지
2nd row서울특별시 구로구 개봉동 202-19번지 3층
3rd row서울특별시 구로구 구로동 1125-9번지
4th row서울특별시 구로구 구로동 1125-1번지
5th row서울특별시 구로구 구로동 1125-7번지
ValueCountFrequency (%)
서울특별시 43
23.2%
구로구 43
23.2%
구로동 19
10.3%
가리봉동 10
 
5.4%
3층 7
 
3.8%
고척동 6
 
3.2%
개봉동 5
 
2.7%
지층 3
 
1.6%
오류동 3
 
1.6%
127-7번지 2
 
1.1%
Other values (41) 44
23.8%
2024-04-30T04:14:19.929549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
17.7%
구 105
 
10.1%
로 62
 
5.9%
1 58
 
5.6%
지 45
 
4.3%
서 43
 
4.1%
특 43
 
4.1%
별 43
 
4.1%
시 43
 
4.1%
울 43
 
4.1%
Other values (23) 374
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
55.8%
Decimal Number 213
 
20.4%
Space Separator 185
 
17.7%
Dash Punctuation 43
 
4.1%
Close Punctuation 10
 
1.0%
Open Punctuation 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
18.0%
로 62
10.6%
지 45
7.7%
서 43
7.4%
특 43
7.4%
별 43
7.4%
시 43
7.4%
울 43
7.4%
동 43
7.4%
번 42
 
7.2%
Other values (9) 71
12.2%
Decimal Number
ValueCountFrequency (%)
1 58
27.2%
2 34
16.0%
7 26
12.2%
4 20
 
9.4%
3 20
 
9.4%
5 19
 
8.9%
0 12
 
5.6%
6 11
 
5.2%
9 8
 
3.8%
8 5
 
2.3%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
55.8%
Common 461
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
18.0%
로 62
10.6%
지 45
7.7%
서 43
7.4%
특 43
7.4%
별 43
7.4%
시 43
7.4%
울 43
7.4%
동 43
7.4%
번 42
 
7.2%
Other values (9) 71
12.2%
Common
ValueCountFrequency (%)
185
40.1%
1 58
 
12.6%
- 43
 
9.3%
2 34
 
7.4%
7 26
 
5.6%
4 20
 
4.3%
3 20
 
4.3%
5 19
 
4.1%
0 12
 
2.6%
6 11
 
2.4%
Other values (4) 33
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
55.8%
ASCII 461
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
40.1%
1 58
 
12.6%
- 43
 
9.3%
2 34
 
7.4%
7 26
 
5.6%
4 20
 
4.3%
3 20
 
4.3%
5 19
 
4.1%
0 12
 
2.6%
6 11
 
2.4%
Other values (4) 33
 
7.2%
Hangul
ValueCountFrequency (%)
구 105
18.0%
로 62
10.6%
지 45
7.7%
서 43
7.4%
특 43
7.4%
별 43
7.4%
시 43
7.4%
울 43
7.4%
동 43
7.4%
번 42
 
7.2%
Other values (9) 71
12.2%

도로명주소
Text

MISSING 

Distinct39
Distinct (%)92.9%
Missing1
Missing (%)2.3%
Memory size476.0 B
2024-04-30T04:14:20.133767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length27.452381
Min length23

Characters and Unicode

Total characters1153
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)85.7%

Sample

1st row서울특별시 구로구 남부순환로105길 58 (가리봉동)
2nd row서울특별시 구로구 남부순환로97길 20-10 (개봉동,3층)
3rd row서울특별시 구로구 시흥대로 557 (구로동)
4th row서울특별시 구로구 시흥대로 571 (구로동)
5th row서울특별시 구로구 시흥대로 559 (구로동)
ValueCountFrequency (%)
서울특별시 42
20.0%
구로구 42
20.0%
구로동 11
 
5.2%
가리봉동 8
 
3.8%
구로동로 5
 
2.4%
경인로47길 5
 
2.4%
고척동 5
 
2.4%
개봉동 4
 
1.9%
경인로 4
 
1.9%
시흥대로 4
 
1.9%
Other values (58) 80
38.1%
2024-04-30T04:14:20.480141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
18.1%
구 113
 
9.8%
로 111
 
9.6%
동 53
 
4.6%
( 51
 
4.4%
) 51
 
4.4%
시 46
 
4.0%
서 42
 
3.6%
특 42
 
3.6%
별 42
 
3.6%
Other values (40) 393
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
57.7%
Space Separator 209
 
18.1%
Decimal Number 158
 
13.7%
Open Punctuation 51
 
4.4%
Close Punctuation 51
 
4.4%
Other Punctuation 12
 
1.0%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 113
17.0%
로 111
16.7%
동 53
 
8.0%
시 46
 
6.9%
서 42
 
6.3%
특 42
 
6.3%
별 42
 
6.3%
울 42
 
6.3%
길 24
 
3.6%
봉 17
 
2.6%
Other values (25) 133
20.0%
Decimal Number
ValueCountFrequency (%)
2 27
17.1%
1 24
15.2%
5 21
13.3%
0 19
12.0%
3 16
10.1%
9 14
8.9%
7 14
8.9%
4 12
7.6%
8 7
 
4.4%
6 4
 
2.5%
Space Separator
ValueCountFrequency (%)
209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
57.7%
Common 488
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 113
17.0%
로 111
16.7%
동 53
 
8.0%
시 46
 
6.9%
서 42
 
6.3%
특 42
 
6.3%
별 42
 
6.3%
울 42
 
6.3%
길 24
 
3.6%
봉 17
 
2.6%
Other values (25) 133
20.0%
Common
ValueCountFrequency (%)
209
42.8%
( 51
 
10.5%
) 51
 
10.5%
2 27
 
5.5%
1 24
 
4.9%
5 21
 
4.3%
0 19
 
3.9%
3 16
 
3.3%
9 14
 
2.9%
7 14
 
2.9%
Other values (5) 42
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
57.7%
ASCII 488
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
42.8%
( 51
 
10.5%
) 51
 
10.5%
2 27
 
5.5%
1 24
 
4.9%
5 21
 
4.3%
0 19
 
3.9%
3 16
 
3.3%
9 14
 
2.9%
7 14
 
2.9%
Other values (5) 42
 
8.6%
Hangul
ValueCountFrequency (%)
구 113
17.0%
로 111
16.7%
동 53
 
8.0%
시 46
 
6.9%
서 42
 
6.3%
특 42
 
6.3%
별 42
 
6.3%
울 42
 
6.3%
길 24
 
3.6%
봉 17
 
2.6%
Other values (25) 133
20.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
8388
 
1
8279
 
1
8268
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
93.0%
8388 1
 
2.3%
8279 1
 
2.3%
8268 1
 
2.3%

Length

2024-04-30T04:14:20.632568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:20.784489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
8388 1
 
2.3%
8279 1
 
2.3%
8268 1
 
2.3%

사업장명
Text

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-30T04:14:21.075826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.9302326
Min length4

Characters and Unicode

Total characters298
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)88.4%

Sample

1st rowX-비디오감상실
2nd row칸DVD방
3rd row준비디오방
4th row공단비디오방
5th row서울비디오방
ValueCountFrequency (%)
명화비디오방 3
 
7.0%
21세기비디오방 2
 
4.7%
테크노비디오방 1
 
2.3%
x-비디오감상실 1
 
2.3%
씨네dvd존 1
 
2.3%
사차원비디오방 1
 
2.3%
시네마비디오방 1
 
2.3%
벤허비디오방 1
 
2.3%
엄지비디오방 1
 
2.3%
영화이야기 1
 
2.3%
Other values (30) 30
69.8%
2024-04-30T04:14:21.464024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 32
 
10.7%
오 31
 
10.4%
비 30
 
10.1%
방 24
 
8.1%
D 16
 
5.4%
상 13
 
4.4%
화 12
 
4.0%
실 12
 
4.0%
감 12
 
4.0%
영 9
 
3.0%
Other values (69) 107
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
88.3%
Uppercase Letter 28
 
9.4%
Decimal Number 4
 
1.3%
Other Punctuation 2
 
0.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 32
 
12.2%
오 31
 
11.8%
비 30
 
11.4%
방 24
 
9.1%
상 13
 
4.9%
화 12
 
4.6%
실 12
 
4.6%
감 12
 
4.6%
영 9
 
3.4%
명 5
 
1.9%
Other values (60) 83
31.6%
Uppercase Letter
ValueCountFrequency (%)
D 16
57.1%
V 8
28.6%
M 2
 
7.1%
X 1
 
3.6%
F 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
88.3%
Latin 28
 
9.4%
Common 7
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 32
 
12.2%
오 31
 
11.8%
비 30
 
11.4%
방 24
 
9.1%
상 13
 
4.9%
화 12
 
4.6%
실 12
 
4.6%
감 12
 
4.6%
영 9
 
3.4%
명 5
 
1.9%
Other values (60) 83
31.6%
Latin
ValueCountFrequency (%)
D 16
57.1%
V 8
28.6%
M 2
 
7.1%
X 1
 
3.6%
F 1
 
3.6%
Common
ValueCountFrequency (%)
2 2
28.6%
. 2
28.6%
1 2
28.6%
- 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
88.3%
ASCII 35
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 32
 
12.2%
오 31
 
11.8%
비 30
 
11.4%
방 24
 
9.1%
상 13
 
4.9%
화 12
 
4.6%
실 12
 
4.6%
감 12
 
4.6%
영 9
 
3.4%
명 5
 
1.9%
Other values (60) 83
31.6%
ASCII
ValueCountFrequency (%)
D 16
45.7%
V 8
22.9%
2 2
 
5.7%
. 2
 
5.7%
M 2
 
5.7%
1 2
 
5.7%
- 1
 
2.9%
X 1
 
2.9%
F 1
 
2.9%

최종수정일자
Date

Distinct30
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2003-04-18 15:20:26
Maximum2020-09-28 18:08:55
2024-04-30T04:14:21.574217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:21.674193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
41 
U
 
2

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 41
95.3%
U 2
 
4.7%

Length

2024-04-30T04:14:21.765347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:21.850448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 41
95.3%
u 2
 
4.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2018-08-31 23:59:59.0
41 
2020-09-30 02:40:00.0
 
1
2018-10-19 02:36:10.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 41
95.3%
2020-09-30 02:40:00.0 1
 
2.3%
2018-10-19 02:36:10.0 1
 
2.3%

Length

2024-04-30T04:14:21.933159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:22.029990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 41
47.7%
23:59:59.0 41
47.7%
2020-09-30 1
 
1.2%
02:40:00.0 1
 
1.2%
2018-10-19 1
 
1.2%
02:36:10.0 1
 
1.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189306.02
Minimum186046.29
Maximum191280.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:22.130151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186046.29
5-th percentile186313.04
Q1188160.76
median189698.2
Q3190189.04
95-th percentile191226.1
Maximum191280.66
Range5234.3678
Interquartile range (IQR)2028.2783

Descriptive statistics

Standard deviation1464.9312
Coefficient of variation (CV)0.0077384291
Kurtosis-0.40286078
Mean189306.02
Median Absolute Deviation (MAD)808.78879
Skewness-0.7041214
Sum8140158.8
Variance2146023.5
MonotonicityNot monotonic
2024-04-30T04:14:22.256560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
190189.036566337 2
 
4.7%
189996.359309208 2
 
4.7%
190506.989045509 2
 
4.7%
190188.948657583 2
 
4.7%
190160.068723092 1
 
2.3%
188084.249742076 1
 
2.3%
190109.521012825 1
 
2.3%
188148.310902591 1
 
2.3%
188185.623405723 1
 
2.3%
189522.39295944 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
186046.28985124 1
2.3%
186130.586848958 1
2.3%
186212.084054908 1
2.3%
187221.679983536 1
2.3%
187376.594111297 1
2.3%
187425.328788708 1
2.3%
187434.769427132 1
2.3%
187529.287048056 1
2.3%
188084.249742076 1
2.3%
188116.18242787 1
2.3%
ValueCountFrequency (%)
191280.657696914 1
2.3%
191239.693382941 1
2.3%
191229.896362573 1
2.3%
191191.935645894 1
2.3%
191173.834097241 1
2.3%
191131.509193438 1
2.3%
190506.989045509 2
4.7%
190283.539327613 1
2.3%
190258.165485852 1
2.3%
190189.036566337 2
4.7%

좌표정보(Y)
Real number (ℝ)

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443155.87
Minimum441950.14
Maximum444462.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:22.394252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441950.14
5-th percentile441965.77
Q1442338.26
median443146.11
Q3443768.8
95-th percentile444320.71
Maximum444462.23
Range2512.0898
Interquartile range (IQR)1430.5344

Descriptive statistics

Standard deviation836.86939
Coefficient of variation (CV)0.0018884312
Kurtosis-1.4133271
Mean443155.87
Median Absolute Deviation (MAD)800.51349
Skewness-0.01354272
Sum19055702
Variance700350.38
MonotonicityNot monotonic
2024-04-30T04:14:22.679754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
442005.296573287 2
 
4.7%
442201.183328093 2
 
4.7%
443133.298220778 2
 
4.7%
441950.139212722 2
 
4.7%
441961.372806 1
 
2.3%
444328.553148205 1
 
2.3%
443260.551470395 1
 
2.3%
444211.474351706 1
 
2.3%
444226.446670208 1
 
2.3%
444098.778548731 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
441950.139212722 2
4.7%
441961.372806 1
2.3%
442005.296573287 2
4.7%
442039.744990308 1
2.3%
442201.183328093 2
4.7%
442316.325150566 1
2.3%
442318.481283249 1
2.3%
442330.924352034 1
2.3%
442345.600199323 1
2.3%
442355.1559093 1
2.3%
ValueCountFrequency (%)
444462.228974472 1
2.3%
444403.236323824 1
2.3%
444328.553148205 1
2.3%
444250.170543659 1
2.3%
444237.578898272 1
2.3%
444226.446670208 1
2.3%
444211.474351706 1
2.3%
444208.154113814 1
2.3%
444184.967444392 1
2.3%
444098.778548731 1
2.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
비디오물감상실업
43 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 43
100.0%

Length

2024-04-30T04:14:22.775815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:22.848017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 43
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
유통관련업
34 
<NA>
9 

Length

Max length5
Median length5
Mean length4.7906977
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 34
79.1%
<NA> 9
 
20.9%

Length

2024-04-30T04:14:22.939822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:23.023787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 34
79.1%
na 9
 
20.9%

총층수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6976744
Minimum0
Maximum7
Zeros2
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:23.105956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q13
median4
Q34
95-th percentile6.9
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5202582
Coefficient of variation (CV)0.41113901
Kurtosis1.1403564
Mean3.6976744
Median Absolute Deviation (MAD)1
Skewness-0.01259187
Sum159
Variance2.3111849
MonotonicityNot monotonic
2024-04-30T04:14:23.193454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 15
34.9%
4 13
30.2%
5 6
 
14.0%
7 3
 
7.0%
2 2
 
4.7%
0 2
 
4.7%
6 1
 
2.3%
1 1
 
2.3%
ValueCountFrequency (%)
0 2
 
4.7%
1 1
 
2.3%
2 2
 
4.7%
3 15
34.9%
4 13
30.2%
5 6
 
14.0%
6 1
 
2.3%
7 3
 
7.0%
ValueCountFrequency (%)
7 3
 
7.0%
6 1
 
2.3%
5 6
 
14.0%
4 13
30.2%
3 15
34.9%
2 2
 
4.7%
1 1
 
2.3%
0 2
 
4.7%

주변환경명
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
30 
기타
8 
주택가주변
4 
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.744186
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
69.8%
기타 8
 
18.6%
주택가주변 4
 
9.3%
아파트지역 1
 
2.3%

Length

2024-04-30T04:14:23.299607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:23.397488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
69.8%
기타 8
 
18.6%
주택가주변 4
 
9.3%
아파트지역 1
 
2.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

시설면적
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.41442
Minimum0
Maximum192.64
Zeros2
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:23.510859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37.98
Q168.385
median97.5
Q3131.17
95-th percentile181.896
Maximum192.64
Range192.64
Interquartile range (IQR)62.785

Descriptive statistics

Standard deviation45.960897
Coefficient of variation (CV)0.45771213
Kurtosis-0.14710128
Mean100.41442
Median Absolute Deviation (MAD)32.84
Skewness0.056964726
Sum4317.82
Variance2112.4041
MonotonicityNot monotonic
2024-04-30T04:14:23.632678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
99.0 2
 
4.7%
56.46 2
 
4.7%
130.34 2
 
4.7%
150.0 2
 
4.7%
0.0 2
 
4.7%
64.3 1
 
2.3%
119.52 1
 
2.3%
80.19 1
 
2.3%
85.36 1
 
2.3%
68.76 1
 
2.3%
Other values (28) 28
65.1%
ValueCountFrequency (%)
0.0 2
4.7%
37.0 1
2.3%
46.8 1
2.3%
51.0 1
2.3%
56.46 2
4.7%
59.4 1
2.3%
64.3 1
2.3%
66.0 1
2.3%
68.01 1
2.3%
68.76 1
2.3%
ValueCountFrequency (%)
192.64 1
2.3%
192.4 1
2.3%
183.44 1
2.3%
168.0 1
2.3%
159.14 1
2.3%
150.65 1
2.3%
150.0 2
4.7%
140.15 1
2.3%
135.0 1
2.3%
132.0 1
2.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)18.9%
Missing6
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean2.5945946
Minimum0
Maximum6
Zeros3
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-30T04:14:23.740441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3220241
Coefficient of variation (CV)0.50953013
Kurtosis0.73419326
Mean2.5945946
Median Absolute Deviation (MAD)1
Skewness0.050687661
Sum96
Variance1.7477477
MonotonicityNot monotonic
2024-04-30T04:14:23.846524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 18
41.9%
2 7
 
16.3%
1 4
 
9.3%
0 3
 
7.0%
4 2
 
4.7%
5 2
 
4.7%
6 1
 
2.3%
(Missing) 6
 
14.0%
ValueCountFrequency (%)
0 3
 
7.0%
1 4
 
9.3%
2 7
 
16.3%
3 18
41.9%
4 2
 
4.7%
5 2
 
4.7%
6 1
 
2.3%
ValueCountFrequency (%)
6 1
 
2.3%
5 2
 
4.7%
4 2
 
4.7%
3 18
41.9%
2 7
 
16.3%
1 4
 
9.3%
0 3
 
7.0%

지하층수
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
28 
1
9 
0
5 
3
 
1

Length

Max length4
Median length4
Mean length2.9534884
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
65.1%
1 9
 
20.9%
0 5
 
11.6%
3 1
 
2.3%

Length

2024-04-30T04:14:24.007614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:24.119811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
65.1%
1 9
 
20.9%
0 5
 
11.6%
3 1
 
2.3%

건물용도명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
23 
근린생활시설
19 
단독주택
 
1

Length

Max length6
Median length4
Mean length4.8837209
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
53.5%
근린생활시설 19
44.2%
단독주택 1
 
2.3%

Length

2024-04-30T04:14:24.272552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:24.458890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
53.5%
근린생활시설 19
44.2%
단독주택 1
 
2.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
1.2
 
1

Length

Max length4
Median length4
Mean length3.9767442
Min length3

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
1.2 1
 
2.3%

Length

2024-04-30T04:14:24.575331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:24.678571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
1.2 1
 
2.3%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
자동
25 
<NA>
18 

Length

Max length4
Median length2
Mean length2.8372093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 25
58.1%
<NA> 18
41.9%

Length

2024-04-30T04:14:24.798744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:24.898981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 25
58.1%
na 18
41.9%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

지역구분명
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
24 
근린상업지역
16 
준주거지역
 
2
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.8372093
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
근린상업지역 16
37.2%
준주거지역 2
 
4.7%
일반상업지역 1
 
2.3%

Length

2024-04-30T04:14:25.017688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:25.118701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
근린상업지역 16
37.2%
준주거지역 2
 
4.7%
일반상업지역 1
 
2.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF124201199600000119960909<NA>3폐업3폐업20041117<NA><NA><NA>803-0987<NA>152801서울특별시 구로구 가리봉동 127-14번지서울특별시 구로구 남부순환로105길 58 (가리봉동)<NA>X-비디오감상실2004-11-18 13:46:02I2018-08-31 23:59:59.0<NA>190160.068723441961.372806비디오물감상실업유통관련업3<NA><NA>64.3<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
13160000CDFF124201199600000219960904<NA>3폐업3폐업20110721<NA><NA><NA>683-3165<NA><NA>서울특별시 구로구 개봉동 202-19번지 3층서울특별시 구로구 남부순환로97길 20-10 (개봉동,3층)<NA>칸DVD방2011-07-21 17:49:40I2018-08-31 23:59:59.0<NA>187425.328789443529.428407비디오물감상실업<NA>4<NA><NA>192.43<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF124201199600000319960905<NA>3폐업3폐업20000731<NA><NA><NA>678-4219<NA>152880서울특별시 구로구 구로동 1125-9번지서울특별시 구로구 시흥대로 557 (구로동)<NA>준비디오방2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>191173.834097442316.325151비디오물감상실업유통관련업4<NA><NA>99.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF124201199600000419960906<NA>3폐업3폐업20070521<NA><NA><NA>841-5055<NA>152880서울특별시 구로구 구로동 1125-1번지서울특별시 구로구 시흥대로 571 (구로동)<NA>공단비디오방2007-05-21 18:38:55I2018-08-31 23:59:59.0<NA>191239.693383442430.463626비디오물감상실업유통관련업4<NA><NA>68.014<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFF124201199600000519960906<NA>3폐업3폐업20050418<NA><NA><NA>856-0630<NA>152880서울특별시 구로구 구로동 1125-7번지서울특별시 구로구 시흥대로 559 (구로동)<NA>서울비디오방2005-04-18 14:16:21I2018-08-31 23:59:59.0<NA>191191.935646442330.924352비디오물감상실업유통관련업5<NA><NA>78.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFF124201199600000619960906<NA>3폐업3폐업20000526<NA><NA><NA>683-2927<NA>152826서울특별시 구로구 고척동 63-2번지서울특별시 구로구 경인로 435 (고척동)<NA>영상비디오감상실2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>188189.124417444184.967444비디오물감상실업유통관련업4<NA><NA>72.243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFF124201199600000719960907<NA>3폐업3폐업20010516<NA><NA><NA>862-1550<NA>152800서울특별시 구로구 가리봉동 122-3번지서울특별시 구로구 구로동로 18 (가리봉동)<NA>삼진비디오방2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189936.027461442355.155909비디오물감상실업유통관련업3<NA><NA>115.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF124201199600000819960909<NA>3폐업3폐업20001102<NA><NA><NA>614-5862<NA>152894서울특별시 구로구 오류동 55-50번지서울특별시 구로구 경인로 216 (오류동)<NA>FM비디오방2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186212.084055443782.555827비디오물감상실업유통관련업3<NA><NA>132.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83160000CDFF124201199600000919960909<NA>3폐업3폐업19991202<NA><NA><NA>839-9739<NA>152880서울특별시 구로구 구로동 1124-20번지서울특별시 구로구 디지털로32길 97-3 (구로동)<NA>M비디오감상실2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>191131.509193442345.600199비디오물감상실업유통관련업3<NA><NA>37.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFF124201199600001019960909<NA>3폐업3폐업20050308<NA><NA><NA>688-9015<NA>152824서울특별시 구로구 고척동 52-201번지서울특별시 구로구 경인로47길 14 (고척동)<NA>명화비디오방2005-03-09 13:14:05I2018-08-31 23:59:59.0<NA>188173.205535444237.578898비디오물감상실업유통관련업3<NA><NA>135.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
333160000CDFF124201200200000120020311<NA>3폐업3폐업20181017<NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 40-2번지 (3층)서울특별시 구로구 경인로 197 (오류동,(3층))8268씨네DVD존2018-10-17 14:35:00U2018-10-19 02:36:10.0<NA>186046.289851443755.037505비디오물감상실업<NA>4<NA><NA>121.653<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343160000CDFF124201200200000220020514<NA>3폐업3폐업20030311<NA><NA><NA>857-0242<NA>152871서울특별시 구로구 구로동 730-91번지서울특별시 구로구 구로동로28길 20-10 (구로동)<NA>구로비디오방2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189776.794057443146.113688비디오물감상실업유통관련업4<NA><NA>89.120<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353160000CDFF124201200200000320020424<NA>3폐업3폐업20060921<NA><NA><NA>2612-9447<NA>152809서울특별시 구로구 개봉동 202-17번지서울특별시 구로구 남부순환로97길 12 (개봉동)<NA>멀티비디오감상실2006-09-21 17:24:12I2018-08-31 23:59:59.0<NA>187434.769427443559.941448비디오물감상실업유통관련업7<NA><NA>140.156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363160000CDFF124201200300000120030124<NA>3폐업3폐업20140331<NA><NA><NA>864-3602<NA>152871서울특별시 구로구 구로동 728-7번지 (지층)서울특별시 구로구 구로동로25길 5-6 (구로동,(지층))<NA>스크린DVD영화관2014-04-01 09:00:07I2018-08-31 23:59:59.0<NA>189627.286607443125.750004비디오물감상실업유통관련업4주택가주변<NA>46.8<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
373160000CDFF124201200400000120040806<NA>3폐업3폐업20130930<NA><NA><NA>2683-1285<NA>152826서울특별시 구로구 고척동 76-181번지 (3층)서울특별시 구로구 경인로47길 23 (고척동,(3층))<NA>타임캡슐디브이디방2013-10-02 09:35:51I2018-08-31 23:59:59.0<NA>188116.182428444250.170544비디오물감상실업유통관련업7기타<NA>183.443<NA>근린생활시설1.2<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
383160000CDFF124201200700000120070508<NA>3폐업3폐업20120330<NA><NA><NA><NA><NA>152880서울특별시 구로구 구로동 1125-2번지 (3층)<NA><NA>타임DVD영화관2012-03-30 14:39:49I2018-08-31 23:59:59.0<NA>191229.896363442414.747844비디오물감상실업유통관련업4기타<NA>117.03<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
393160000CDFF124201201000000120100402<NA>3폐업3폐업20101208<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 124-4번지서울특별시 구로구 우마길 10 (가리봉동)<NA>DVD영화감상실2010-12-08 16:14:31I2018-08-31 23:59:59.0<NA>189996.359309442201.183328비디오물감상실업<NA>1주택가주변<NA>130.341<NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
403160000CDFF124201201000000220100701<NA>3폐업3폐업20101011<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 127-7번지서울특별시 구로구 디지털로19길 9 (가리봉동)<NA>영화감상실2011-02-01 11:43:39I2018-08-31 23:59:59.0<NA>190189.036566442005.296573비디오물감상실업<NA>3<NA><NA>56.4621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413160000CDFF124201201100000120110107<NA>3폐업3폐업20110615<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 124-4번지서울특별시 구로구 우마길 10 (가리봉동)<NA>DVD감상실2011-06-15 17:27:54I2018-08-31 23:59:59.0<NA>189996.359309442201.183328비디오물감상실업<NA>2<NA><NA>130.3411<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423160000CDFF124201201100000220110201<NA>3폐업3폐업20110322<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 127-7번지 1층서울특별시 구로구 디지털로19길 9 (가리봉동,1층)<NA>봉DVD영화감상실2011-03-22 16:41:25I2018-08-31 23:59:59.0<NA>190189.036566442005.296573비디오물감상실업<NA>3<NA><NA>56.4621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>