Overview

Dataset statistics

Number of variables56
Number of observations308
Missing cells9216
Missing cells (%)53.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.9 KiB
Average record size in memory488.4 B

Variable types

Categorical14
Text5
Numeric9
Unsupported28

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-17358/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
최종수정일자 is highly imbalanced (91.5%)Imbalance
데이터갱신구분 is highly imbalanced (96.8%)Imbalance
데이터갱신일자 is highly imbalanced (96.8%)Imbalance
문화사업자구분명 is highly imbalanced (84.4%)Imbalance
인허가취소일자 has 308 (100.0%) missing valuesMissing
폐업일자 has 168 (54.5%) missing valuesMissing
휴업시작일자 has 308 (100.0%) missing valuesMissing
휴업종료일자 has 308 (100.0%) missing valuesMissing
재개업일자 has 308 (100.0%) missing valuesMissing
소재지면적 has 308 (100.0%) missing valuesMissing
소재지우편번호 has 7 (2.3%) missing valuesMissing
도로명주소 has 31 (10.1%) missing valuesMissing
도로명우편번호 has 151 (49.0%) missing valuesMissing
업태구분명 has 308 (100.0%) missing valuesMissing
좌표정보(X) has 22 (7.1%) missing valuesMissing
좌표정보(Y) has 22 (7.1%) missing valuesMissing
총층수 has 93 (30.2%) missing valuesMissing
제작취급품목내용 has 308 (100.0%) missing valuesMissing
지상층수 has 96 (31.2%) missing valuesMissing
통로너비 has 308 (100.0%) missing valuesMissing
조명시설조도 has 308 (100.0%) missing valuesMissing
노래방실수 has 308 (100.0%) missing valuesMissing
청소년실수 has 308 (100.0%) missing valuesMissing
비상계단여부 has 308 (100.0%) missing valuesMissing
비상구여부 has 308 (100.0%) missing valuesMissing
자동환기여부 has 308 (100.0%) missing valuesMissing
청소년실여부 has 308 (100.0%) missing valuesMissing
특수조명여부 has 308 (100.0%) missing valuesMissing
방음시설여부 has 308 (100.0%) missing valuesMissing
비디오재생기명 has 308 (100.0%) missing valuesMissing
조명시설유무 has 308 (100.0%) missing valuesMissing
음향시설여부 has 308 (100.0%) missing valuesMissing
편의시설여부 has 308 (100.0%) missing valuesMissing
소방시설여부 has 308 (100.0%) missing valuesMissing
총게임기수 has 308 (100.0%) missing valuesMissing
기존게임업외업종명 has 308 (100.0%) missing valuesMissing
제공게임물명 has 308 (100.0%) missing valuesMissing
공연장형태구분명 has 308 (100.0%) missing valuesMissing
품목명 has 308 (100.0%) missing valuesMissing
최초등록시점 has 308 (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
통로너비 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
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
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 14 (4.5%) zerosZeros
시설면적 has 67 (21.8%) zerosZeros
지상층수 has 17 (5.5%) zerosZeros

Reproduction

Analysis started2024-05-11 05:25:05.523320
Analysis finished2024-05-11 05:25:06.711693
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3160000
308 

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 308
100.0%

Length

2024-05-11T05:25:06.908145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:07.216867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 308
100.0%

관리번호
Text

UNIQUE 

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T05:25:07.698725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6160
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

Unique308 ?
Unique (%)100.0%

Sample

1st rowCDFF1242031900000001
2nd rowCDFF1242031990000001
3rd rowCDFF1242031991000001
4th rowCDFF1242031991000002
5th rowCDFF1242031991000003
ValueCountFrequency (%)
cdff1242031900000001 1
 
0.3%
cdff1242031999000032 1
 
0.3%
cdff1242031999000040 1
 
0.3%
cdff1242031999000039 1
 
0.3%
cdff1242031999000038 1
 
0.3%
cdff1242031999000037 1
 
0.3%
cdff1242031999000036 1
 
0.3%
cdff1242031999000035 1
 
0.3%
cdff1242031999000034 1
 
0.3%
cdff1242031999000022 1
 
0.3%
Other values (298) 298
96.8%
2024-05-11T05:25:08.415242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1784
29.0%
2 780
12.7%
1 734
11.9%
9 642
 
10.4%
F 616
 
10.0%
3 377
 
6.1%
4 363
 
5.9%
C 308
 
5.0%
D 308
 
5.0%
6 76
 
1.2%
Other values (3) 172
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4928
80.0%
Uppercase Letter 1232
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1784
36.2%
2 780
15.8%
1 734
14.9%
9 642
 
13.0%
3 377
 
7.7%
4 363
 
7.4%
6 76
 
1.5%
7 64
 
1.3%
8 55
 
1.1%
5 53
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 616
50.0%
C 308
25.0%
D 308
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4928
80.0%
Latin 1232
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1784
36.2%
2 780
15.8%
1 734
14.9%
9 642
 
13.0%
3 377
 
7.7%
4 363
 
7.4%
6 76
 
1.5%
7 64
 
1.3%
8 55
 
1.1%
5 53
 
1.1%
Latin
ValueCountFrequency (%)
F 616
50.0%
C 308
25.0%
D 308
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1784
29.0%
2 780
12.7%
1 734
11.9%
9 642
 
10.4%
F 616
 
10.0%
3 377
 
6.1%
4 363
 
5.9%
C 308
 
5.0%
D 308
 
5.0%
6 76
 
1.2%
Other values (3) 172
 
2.8%

인허가일자
Real number (ℝ)

Distinct203
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19966406
Minimum19001108
Maximum20010829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:08.844860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19001108
5-th percentile19920251
Q119950458
median19980114
Q319990601
95-th percentile20010408
Maximum20010829
Range1009721
Interquartile range (IQR)40143.25

Descriptive statistics

Standard deviation62299.361
Coefficient of variation (CV)0.003120209
Kurtosis188.51723
Mean19966406
Median Absolute Deviation (MAD)19294.5
Skewness-12.221129
Sum6.1496532 × 109
Variance3.8812104 × 109
MonotonicityNot monotonic
2024-05-11T05:25:09.303377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990509 36
 
11.7%
19950107 4
 
1.3%
19980312 4
 
1.3%
19990409 4
 
1.3%
19990601 4
 
1.3%
19920401 4
 
1.3%
19920330 3
 
1.0%
19940117 3
 
1.0%
19950525 3
 
1.0%
19960723 3
 
1.0%
Other values (193) 240
77.9%
ValueCountFrequency (%)
19001108 1
0.3%
19900215 1
0.3%
19910830 1
0.3%
19910907 1
0.3%
19911028 1
0.3%
19911030 1
0.3%
19911102 1
0.3%
19911108 1
0.3%
19911129 1
0.3%
19911207 1
0.3%
ValueCountFrequency (%)
20010829 1
0.3%
20010820 1
0.3%
20010803 2
0.6%
20010726 1
0.3%
20010705 2
0.6%
20010626 1
0.3%
20010622 1
0.3%
20010619 1
0.3%
20010618 1
0.3%
20010614 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
168 
3
140 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 168
54.5%
3 140
45.5%

Length

2024-05-11T05:25:09.732759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:10.121523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 168
54.5%
3 140
45.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
168 
폐업
140 

Length

Max length5
Median length5
Mean length3.6363636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 168
54.5%
폐업 140
45.5%

Length

2024-05-11T05:25:10.484929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:10.822081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 168
54.5%
폐업 140
45.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
167 
03
140 
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0064935
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row13
2nd row13
3rd row03
4th row13
5th row03

Common Values

ValueCountFrequency (%)
13 167
54.2%
03 140
45.5%
BBBB 1
 
0.3%

Length

2024-05-11T05:25:11.189370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:11.508067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 167
54.2%
03 140
45.5%
bbbb 1
 
0.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
167 
폐업
140 
<NA>
 
1

Length

Max length4
Median length3
Mean length2.5487013
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 167
54.2%
폐업 140
45.5%
<NA> 1
 
0.3%

Length

2024-05-11T05:25:11.865799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:12.207566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 167
54.2%
폐업 140
45.5%
na 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)61.4%
Missing168
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean20000723
Minimum19990503
Maximum20190724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:12.572789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990503
5-th percentile19990509
Q119990617
median20000264
Q320003446
95-th percentile20011036
Maximum20190724
Range200221
Interquartile range (IQR)12829.25

Descriptive statistics

Standard deviation20353.927
Coefficient of variation (CV)0.0010176596
Kurtosis60.374401
Mean20000723
Median Absolute Deviation (MAD)9652
Skewness7.0570264
Sum2.8001012 × 109
Variance4.1428236 × 108
MonotonicityNot monotonic
2024-05-11T05:25:13.053289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990509 33
 
10.7%
19991206 3
 
1.0%
20000331 3
 
1.0%
20011031 3
 
1.0%
20010710 2
 
0.6%
19991014 2
 
0.6%
20010530 2
 
0.6%
20010329 2
 
0.6%
20010319 2
 
0.6%
19990621 2
 
0.6%
Other values (76) 86
27.9%
(Missing) 168
54.5%
ValueCountFrequency (%)
19990503 1
 
0.3%
19990509 33
10.7%
19990604 1
 
0.3%
19990621 2
 
0.6%
19990722 1
 
0.3%
19990817 1
 
0.3%
19990831 1
 
0.3%
19990901 1
 
0.3%
19990910 2
 
0.6%
19991007 1
 
0.3%
ValueCountFrequency (%)
20190724 1
 
0.3%
20110520 1
 
0.3%
20011219 1
 
0.3%
20011213 1
 
0.3%
20011208 1
 
0.3%
20011123 1
 
0.3%
20011122 1
 
0.3%
20011031 3
1.0%
20010917 1
 
0.3%
20010824 1
 
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

Distinct273
Distinct (%)89.2%
Missing2
Missing (%)0.6%
Memory size2.5 KiB
2024-05-11T05:25:13.613840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1405229
Min length8

Characters and Unicode

Total characters2491
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

Unique244 ?
Unique (%)79.7%

Sample

1st row683-6768
2nd row613-4149
3rd row862-0980
4th row863-1517
5th row684-9139
ValueCountFrequency (%)
868-2317 5
 
1.6%
681-2396 3
 
1.0%
867-4666 2
 
0.7%
852-7066 2
 
0.7%
683-2351 2
 
0.7%
818-1000 2
 
0.7%
837-3077 2
 
0.7%
872-6302 2
 
0.7%
2613-7179 2
 
0.7%
805-1483 2
 
0.7%
Other values (263) 282
92.2%
2024-05-11T05:25:14.635152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 381
15.3%
6 350
14.1%
- 306
12.3%
1 220
8.8%
5 213
8.6%
2 208
8.4%
7 195
7.8%
3 190
7.6%
4 145
 
5.8%
9 144
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2185
87.7%
Dash Punctuation 306
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 381
17.4%
6 350
16.0%
1 220
10.1%
5 213
9.7%
2 208
9.5%
7 195
8.9%
3 190
8.7%
4 145
 
6.6%
9 144
 
6.6%
0 139
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 381
15.3%
6 350
14.1%
- 306
12.3%
1 220
8.8%
5 213
8.6%
2 208
8.4%
7 195
7.8%
3 190
7.6%
4 145
 
5.8%
9 144
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 381
15.3%
6 350
14.1%
- 306
12.3%
1 220
8.8%
5 213
8.6%
2 208
8.4%
7 195
7.8%
3 190
7.6%
4 145
 
5.8%
9 144
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)26.9%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean152822.6
Minimum152050
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:15.065147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152050
5-th percentile152800
Q1152816
median152845
Q3152868
95-th percentile152895
Maximum152906
Range856
Interquartile range (IQR)52

Descriptive statistics

Standard deviation133.66905
Coefficient of variation (CV)0.00087466808
Kurtosis25.890111
Mean152822.6
Median Absolute Deviation (MAD)26
Skewness-5.1100228
Sum45999602
Variance17867.415
MonotonicityNot monotonic
2024-05-11T05:25:15.653686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152868 13
 
4.2%
152800 9
 
2.9%
152815 9
 
2.9%
152858 8
 
2.6%
152871 8
 
2.6%
152862 8
 
2.6%
152857 8
 
2.6%
152872 8
 
2.6%
152850 8
 
2.6%
152873 7
 
2.3%
Other values (71) 215
69.8%
ValueCountFrequency (%)
152050 2
 
0.6%
152090 6
1.9%
152100 1
 
0.3%
152770 1
 
0.3%
152771 1
 
0.3%
152772 1
 
0.3%
152783 1
 
0.3%
152794 1
 
0.3%
152800 9
2.9%
152801 7
2.3%
ValueCountFrequency (%)
152906 3
1.0%
152905 2
 
0.6%
152902 1
 
0.3%
152897 3
1.0%
152896 5
1.6%
152895 2
 
0.6%
152894 1
 
0.3%
152893 1
 
0.3%
152892 3
1.0%
152889 5
1.6%

지번주소
Text

Distinct270
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T05:25:16.234088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length24.857143
Min length20

Characters and Unicode

Total characters7656
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)77.3%

Sample

1st row서울특별시 구로구 오류동 27-56번지
2nd row서울특별시 구로구 개봉동 452-5번지
3rd row서울특별시 구로구 구로동 420-8번지
4th row서울특별시 구로구 구로동 507-4번지
5th row서울특별시 구로구 고척동 249-41번지
ValueCountFrequency (%)
서울특별시 308
22.6%
구로구 308
22.6%
구로동 135
 
9.9%
개봉동 65
 
4.8%
고척동 44
 
3.2%
오류동 24
 
1.8%
가리봉동 17
 
1.2%
신도림동 12
 
0.9%
온수동 6
 
0.4%
궁동 5
 
0.4%
Other values (354) 436
32.1%
2024-05-11T05:25:17.412503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1359
17.8%
구 751
 
9.8%
로 443
 
5.8%
동 324
 
4.2%
지 315
 
4.1%
서 309
 
4.0%
울 309
 
4.0%
특 308
 
4.0%
별 308
 
4.0%
시 308
 
4.0%
Other values (97) 2922
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4426
57.8%
Decimal Number 1566
 
20.5%
Space Separator 1359
 
17.8%
Dash Punctuation 284
 
3.7%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 751
17.0%
로 443
10.0%
동 324
7.3%
지 315
7.1%
서 309
7.0%
울 309
7.0%
특 308
7.0%
별 308
7.0%
시 308
7.0%
번 308
7.0%
Other values (78) 743
16.8%
Decimal Number
ValueCountFrequency (%)
1 306
19.5%
2 226
14.4%
4 178
11.4%
3 165
10.5%
0 146
9.3%
7 136
8.7%
5 133
8.5%
6 131
8.4%
8 75
 
4.8%
9 70
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
1359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4426
57.8%
Common 3226
42.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 751
17.0%
로 443
10.0%
동 324
7.3%
지 315
7.1%
서 309
7.0%
울 309
7.0%
특 308
7.0%
별 308
7.0%
시 308
7.0%
번 308
7.0%
Other values (78) 743
16.8%
Common
ValueCountFrequency (%)
1359
42.1%
1 306
 
9.5%
- 284
 
8.8%
2 226
 
7.0%
4 178
 
5.5%
3 165
 
5.1%
0 146
 
4.5%
7 136
 
4.2%
5 133
 
4.1%
6 131
 
4.1%
Other values (5) 162
 
5.0%
Latin
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4426
57.8%
ASCII 3230
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1359
42.1%
1 306
 
9.5%
- 284
 
8.8%
2 226
 
7.0%
4 178
 
5.5%
3 165
 
5.1%
0 146
 
4.5%
7 136
 
4.2%
5 133
 
4.1%
6 131
 
4.1%
Other values (9) 166
 
5.1%
Hangul
ValueCountFrequency (%)
구 751
17.0%
로 443
10.0%
동 324
7.3%
지 315
7.1%
서 309
7.0%
울 309
7.0%
특 308
7.0%
별 308
7.0%
시 308
7.0%
번 308
7.0%
Other values (78) 743
16.8%

도로명주소
Text

MISSING 

Distinct243
Distinct (%)87.7%
Missing31
Missing (%)10.1%
Memory size2.5 KiB
2024-05-11T05:25:18.106658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length28.588448
Min length23

Characters and Unicode

Total characters7919
Distinct characters115
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)77.6%

Sample

1st row서울특별시 구로구 경인로25길 56 (오류동)
2nd row서울특별시 구로구 구로중앙로27길 28-1 (구로동)
3rd row서울특별시 구로구 고척로33길 38 (고척동)
4th row서울특별시 구로구 경인로47길 52 (고척동)
5th row서울특별시 구로구 신도림로11라길 13 (신도림동)
ValueCountFrequency (%)
서울특별시 277
19.3%
구로구 277
19.3%
구로동 90
 
6.3%
개봉동 52
 
3.6%
고척동 33
 
2.3%
가리봉동 16
 
1.1%
오류동 16
 
1.1%
30 11
 
0.8%
경인로 8
 
0.6%
경인로47길 8
 
0.6%
Other values (357) 649
45.2%
2024-05-11T05:25:19.125952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1429
18.0%
구 761
 
9.6%
로 746
 
9.4%
동 333
 
4.2%
) 283
 
3.6%
( 283
 
3.6%
서 281
 
3.5%
울 278
 
3.5%
시 277
 
3.5%
별 277
 
3.5%
Other values (105) 2971
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4659
58.8%
Space Separator 1429
 
18.0%
Decimal Number 1156
 
14.6%
Close Punctuation 283
 
3.6%
Open Punctuation 283
 
3.6%
Other Punctuation 61
 
0.8%
Dash Punctuation 44
 
0.6%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 761
16.3%
로 746
16.0%
동 333
 
7.1%
서 281
 
6.0%
울 278
 
6.0%
시 277
 
5.9%
별 277
 
5.9%
특 277
 
5.9%
길 223
 
4.8%
봉 104
 
2.2%
Other values (86) 1102
23.7%
Decimal Number
ValueCountFrequency (%)
1 245
21.2%
2 181
15.7%
3 133
11.5%
8 96
 
8.3%
0 94
 
8.1%
7 92
 
8.0%
4 91
 
7.9%
5 88
 
7.6%
9 76
 
6.6%
6 60
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
1429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4659
58.8%
Common 3256
41.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 761
16.3%
로 746
16.0%
동 333
 
7.1%
서 281
 
6.0%
울 278
 
6.0%
시 277
 
5.9%
별 277
 
5.9%
특 277
 
5.9%
길 223
 
4.8%
봉 104
 
2.2%
Other values (86) 1102
23.7%
Common
ValueCountFrequency (%)
1429
43.9%
) 283
 
8.7%
( 283
 
8.7%
1 245
 
7.5%
2 181
 
5.6%
3 133
 
4.1%
8 96
 
2.9%
0 94
 
2.9%
7 92
 
2.8%
4 91
 
2.8%
Other values (5) 329
 
10.1%
Latin
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4659
58.8%
ASCII 3260
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1429
43.8%
) 283
 
8.7%
( 283
 
8.7%
1 245
 
7.5%
2 181
 
5.6%
3 133
 
4.1%
8 96
 
2.9%
0 94
 
2.9%
7 92
 
2.8%
4 91
 
2.8%
Other values (9) 333
 
10.2%
Hangul
ValueCountFrequency (%)
구 761
16.3%
로 746
16.0%
동 333
 
7.1%
서 281
 
6.0%
울 278
 
6.0%
시 277
 
5.9%
별 277
 
5.9%
특 277
 
5.9%
길 223
 
4.8%
봉 104
 
2.2%
Other values (86) 1102
23.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)63.7%
Missing151
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean8287.293
Minimum8201
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:19.521068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8201
5-th percentile8208
Q18246
median8291
Q38320
95-th percentile8375
Maximum8395
Range194
Interquartile range (IQR)74

Descriptive statistics

Standard deviation50.239715
Coefficient of variation (CV)0.0060622588
Kurtosis-0.80258498
Mean8287.293
Median Absolute Deviation (MAD)38
Skewness0.17915441
Sum1301105
Variance2524.029
MonotonicityNot monotonic
2024-05-11T05:25:19.855987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8312 5
 
1.6%
8251 4
 
1.3%
8292 4
 
1.3%
8383 3
 
1.0%
8201 3
 
1.0%
8283 3
 
1.0%
8304 3
 
1.0%
8300 3
 
1.0%
8246 3
 
1.0%
8323 3
 
1.0%
Other values (90) 123
39.9%
(Missing) 151
49.0%
ValueCountFrequency (%)
8201 3
1.0%
8202 1
 
0.3%
8204 1
 
0.3%
8205 2
0.6%
8208 2
0.6%
8211 1
 
0.3%
8215 1
 
0.3%
8218 2
0.6%
8219 2
0.6%
8221 1
 
0.3%
ValueCountFrequency (%)
8395 1
 
0.3%
8393 1
 
0.3%
8391 1
 
0.3%
8384 1
 
0.3%
8383 3
1.0%
8379 1
 
0.3%
8374 2
0.6%
8373 1
 
0.3%
8370 1
 
0.3%
8369 1
 
0.3%

사업장명
Text

Distinct233
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T05:25:20.386206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length5.4415584
Min length2

Characters and Unicode

Total characters1676
Distinct characters245
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)60.1%

Sample

1st row서울슈퍼비디오
2nd row태종비디오
3rd row중앙비디오
4th row캘리포니아비디오프라자
5th row털보비디오
ValueCountFrequency (%)
비디오 8
 
2.5%
준비디오 5
 
1.6%
시네마천국 5
 
1.6%
현비디오 5
 
1.6%
현대비디오 4
 
1.2%
연비디오 4
 
1.2%
비디오여행 4
 
1.2%
비디오랜드 4
 
1.2%
중앙비디오 4
 
1.2%
서울비디오 4
 
1.2%
Other values (228) 274
85.4%
2024-05-11T05:25:21.154546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 225
 
13.4%
오 225
 
13.4%
비 225
 
13.4%
화 42
 
2.5%
영 41
 
2.4%
마 22
 
1.3%
점 21
 
1.3%
대 18
 
1.1%
드 15
 
0.9%
( 14
 
0.8%
Other values (235) 828
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1627
97.1%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Space Separator 13
 
0.8%
Other Punctuation 5
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 225
 
13.8%
오 225
 
13.8%
비 225
 
13.8%
화 42
 
2.6%
영 41
 
2.5%
마 22
 
1.4%
점 21
 
1.3%
대 18
 
1.1%
드 15
 
0.9%
스 14
 
0.9%
Other values (228) 779
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
O 1
33.3%
X 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1627
97.1%
Common 46
 
2.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 225
 
13.8%
오 225
 
13.8%
비 225
 
13.8%
화 42
 
2.6%
영 41
 
2.5%
마 22
 
1.4%
점 21
 
1.3%
대 18
 
1.1%
드 15
 
0.9%
스 14
 
0.9%
Other values (228) 779
47.9%
Common
ValueCountFrequency (%)
( 14
30.4%
) 14
30.4%
13
28.3%
. 5
 
10.9%
Latin
ValueCountFrequency (%)
B 1
33.3%
O 1
33.3%
X 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1627
97.1%
ASCII 49
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 225
 
13.8%
오 225
 
13.8%
비 225
 
13.8%
화 42
 
2.6%
영 41
 
2.5%
마 22
 
1.4%
점 21
 
1.3%
대 18
 
1.1%
드 15
 
0.9%
스 14
 
0.9%
Other values (228) 779
47.9%
ASCII
ValueCountFrequency (%)
( 14
28.6%
) 14
28.6%
13
26.5%
. 5
 
10.2%
B 1
 
2.0%
O 1
 
2.0%
X 1
 
2.0%

최종수정일자
Categorical

IMBALANCE 

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2003-04-18 15:20:26
299 
2011-10-30 13:54:44
 
1
2011-05-20 09:32:05
 
1
2013-12-24 13:18:47
 
1
2013-12-24 13:14:41
 
1
Other values (5)
 
5

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique9 ?
Unique (%)2.9%

Sample

1st row2011-10-30 13:54:44
2nd row2003-04-18 15:20:26
3rd row2011-05-20 09:32:05
4th row2003-04-18 15:20:26
5th row2003-04-18 15:20:26

Common Values

ValueCountFrequency (%)
2003-04-18 15:20:26 299
97.1%
2011-10-30 13:54:44 1
 
0.3%
2011-05-20 09:32:05 1
 
0.3%
2013-12-24 13:18:47 1
 
0.3%
2013-12-24 13:14:41 1
 
0.3%
2015-07-30 15:56:46 1
 
0.3%
2019-07-30 15:54:44 1
 
0.3%
2015-07-30 15:54:05 1
 
0.3%
2013-12-24 15:55:06 1
 
0.3%
2013-12-24 13:20:00 1
 
0.3%

Length

2024-05-11T05:25:21.497899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:21.719101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2003-04-18 299
48.5%
15:20:26 299
48.5%
2013-12-24 4
 
0.6%
2015-07-30 2
 
0.3%
2011-10-30 1
 
0.2%
13:54:44 1
 
0.2%
2011-05-20 1
 
0.2%
09:32:05 1
 
0.2%
13:18:47 1
 
0.2%
13:14:41 1
 
0.2%
Other values (6) 6
 
1.0%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
307 
U
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
I 307
99.7%
U 1
 
0.3%

Length

2024-05-11T05:25:22.041645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:22.353552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 307
99.7%
u 1
 
0.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2018-08-31 23:59:59.0
307 
2019-08-01 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.3%

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 23:59:59.0 307
99.7%
2019-08-01 02:40:00.0 1
 
0.3%

Length

2024-05-11T05:25:22.801730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:23.164973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 307
49.8%
23:59:59.0 307
49.8%
2019-08-01 1
 
0.2%
02:40:00.0 1
 
0.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)82.5%
Missing22
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean188362.2
Minimum183856.65
Maximum191200.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:23.505388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183856.65
5-th percentile185571.73
Q1186796.63
median188999.74
Q3189959.19
95-th percentile190466.22
Maximum191200.72
Range7344.0763
Interquartile range (IQR)3162.5593

Descriptive statistics

Standard deviation1790.5082
Coefficient of variation (CV)0.0095056662
Kurtosis-1.0560896
Mean188362.2
Median Absolute Deviation (MAD)1302.2787
Skewness-0.45316568
Sum53871589
Variance3205919.5
MonotonicityNot monotonic
2024-05-11T05:25:23.983535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190471.903764182 4
 
1.3%
190109.426112425 4
 
1.3%
188999.735767494 3
 
1.0%
186168.493249602 3
 
1.0%
186796.630783272 3
 
1.0%
189570.360930049 3
 
1.0%
189477.633767598 3
 
1.0%
187827.22116065 3
 
1.0%
189854.367772175 2
 
0.6%
190147.49844251 2
 
0.6%
Other values (226) 256
83.1%
(Missing) 22
 
7.1%
ValueCountFrequency (%)
183856.646621367 1
0.3%
184018.014359305 1
0.3%
184198.098702935 1
0.3%
184200.661623067 1
0.3%
184382.220252903 1
0.3%
184405.015953711 1
0.3%
184441.028546291 1
0.3%
184718.663767911 1
0.3%
184904.486110919 1
0.3%
184941.706201411 1
0.3%
ValueCountFrequency (%)
191200.722936426 1
 
0.3%
190901.977946718 1
 
0.3%
190894.508608887 1
 
0.3%
190830.160575392 1
 
0.3%
190750.211657268 1
 
0.3%
190541.558271971 1
 
0.3%
190506.989045509 1
 
0.3%
190492.580863308 2
0.6%
190473.426092623 1
 
0.3%
190471.903764182 4
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)82.5%
Missing22
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean443712.88
Minimum441880.75
Maximum445650.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:24.436425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441880.75
5-th percentile442324.45
Q1443161.16
median443682.38
Q3444371.54
95-th percentile444875.49
Maximum445650.18
Range3769.4385
Interquartile range (IQR)1210.3824

Descriptive statistics

Standard deviation808.93574
Coefficient of variation (CV)0.0018231063
Kurtosis-0.61083005
Mean443712.88
Median Absolute Deviation (MAD)621.02253
Skewness-0.042691355
Sum1.2690188 × 108
Variance654377.02
MonotonicityNot monotonic
2024-05-11T05:25:25.154795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443182.48092442 4
 
1.3%
443161.155799755 4
 
1.3%
443303.671762993 3
 
1.0%
444279.947924496 3
 
1.0%
443243.571694484 3
 
1.0%
444336.051330144 3
 
1.0%
443578.109055563 3
 
1.0%
444712.955014494 3
 
1.0%
443951.601962543 2
 
0.6%
443291.887659815 2
 
0.6%
Other values (226) 256
83.1%
(Missing) 22
 
7.1%
ValueCountFrequency (%)
441880.745508083 2
0.6%
441929.408155687 1
0.3%
441956.454154157 1
0.3%
442030.515528582 1
0.3%
442059.829254974 1
0.3%
442082.52009218 1
0.3%
442148.022181596 1
0.3%
442188.259924954 1
0.3%
442227.994646599 1
0.3%
442239.022499484 1
0.3%
ValueCountFrequency (%)
445650.183972882 2
0.6%
445556.641493041 1
0.3%
445534.088799276 1
0.3%
445430.97917589 1
0.3%
445295.068906157 1
0.3%
445221.889843094 2
0.6%
445153.61016346 2
0.6%
445023.760309173 1
0.3%
445020.217206891 1
0.3%
444965.702035035 1
0.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
비디오물시청제공업
308 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물시청제공업 308
100.0%

Length

2024-05-11T05:25:25.718424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:26.211792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물시청제공업 308
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
유통관련업
301 
<NA>
 
7

Length

Max length5
Median length5
Mean length4.9772727
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 301
97.7%
<NA> 7
 
2.3%

Length

2024-05-11T05:25:26.605842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:27.045180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 301
97.7%
na 7
 
2.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)5.1%
Missing93
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean2.9860465
Minimum0
Maximum20
Zeros14
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:27.446368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9870588
Coefficient of variation (CV)0.66544803
Kurtosis30.357945
Mean2.9860465
Median Absolute Deviation (MAD)1
Skewness3.9945404
Sum642
Variance3.9484025
MonotonicityNot monotonic
2024-05-11T05:25:28.004253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 73
23.7%
4 47
15.3%
2 45
14.6%
1 17
 
5.5%
5 14
 
4.5%
0 14
 
4.5%
6 1
 
0.3%
9 1
 
0.3%
15 1
 
0.3%
20 1
 
0.3%
(Missing) 93
30.2%
ValueCountFrequency (%)
0 14
 
4.5%
1 17
 
5.5%
2 45
14.6%
3 73
23.7%
4 47
15.3%
5 14
 
4.5%
6 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
15 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
5 14
 
4.5%
4 47
15.3%
3 73
23.7%
2 45
14.6%
1 17
 
5.5%

주변환경명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
235 
주택가주변
32 
기타
24 
아파트지역
 
17

Length

Max length5
Median length4
Mean length4.0032468
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 235
76.3%
주택가주변 32
 
10.4%
기타 24
 
7.8%
아파트지역 17
 
5.5%

Length

2024-05-11T05:25:28.435631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:28.882181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
76.3%
주택가주변 32
 
10.4%
기타 24
 
7.8%
아파트지역 17
 
5.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

시설면적
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.280162
Minimum0
Maximum1500
Zeros67
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:29.215134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.575
median22.28
Q332.2425
95-th percentile98.0235
Maximum1500
Range1500
Interquartile range (IQR)19.6675

Descriptive statistics

Standard deviation99.753392
Coefficient of variation (CV)2.6757768
Kurtosis154.807
Mean37.280162
Median Absolute Deviation (MAD)9.82
Skewness11.294897
Sum11482.29
Variance9950.7393
MonotonicityNot monotonic
2024-05-11T05:25:29.525840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
 
21.8%
30.0 11
 
3.6%
21.0 7
 
2.3%
27.0 6
 
1.9%
90.0 5
 
1.6%
60.0 5
 
1.6%
20.0 5
 
1.6%
28.0 5
 
1.6%
45.0 4
 
1.3%
18.0 4
 
1.3%
Other values (152) 189
61.4%
ValueCountFrequency (%)
0.0 67
21.8%
4.0 1
 
0.3%
4.68 1
 
0.3%
9.92 1
 
0.3%
10.0 1
 
0.3%
10.24 1
 
0.3%
11.0 1
 
0.3%
11.2 1
 
0.3%
12.0 2
 
0.6%
12.5 1
 
0.3%
ValueCountFrequency (%)
1500.0 1
0.3%
522.0 1
0.3%
482.7 1
0.3%
448.8 1
0.3%
276.42 1
0.3%
159.14 1
0.3%
150.0 1
0.3%
135.0 1
0.3%
114.79 1
0.3%
112.7 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.8%
Missing96
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean1.1698113
Minimum0
Maximum5
Zeros17
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:25:29.786105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2.45
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.76004113
Coefficient of variation (CV)0.64971258
Kurtosis8.4431716
Mean1.1698113
Median Absolute Deviation (MAD)0
Skewness2.3850987
Sum248
Variance0.57766252
MonotonicityNot monotonic
2024-05-11T05:25:30.151907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 161
52.3%
2 23
 
7.5%
0 17
 
5.5%
3 5
 
1.6%
4 4
 
1.3%
5 2
 
0.6%
(Missing) 96
31.2%
ValueCountFrequency (%)
0 17
 
5.5%
1 161
52.3%
2 23
 
7.5%
3 5
 
1.6%
4 4
 
1.3%
5 2
 
0.6%
ValueCountFrequency (%)
5 2
 
0.6%
4 4
 
1.3%
3 5
 
1.6%
2 23
 
7.5%
1 161
52.3%
0 17
 
5.5%

지하층수
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
182 
0
100 
1
24 
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.7727273
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 182
59.1%
0 100
32.5%
1 24
 
7.8%
2 1
 
0.3%
3 1
 
0.3%

Length

2024-05-11T05:25:30.571709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:30.918025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 182
59.1%
0 100
32.5%
1 24
 
7.8%
2 1
 
0.3%
3 1
 
0.3%

건물용도명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
195 
근린생활시설
112 
단독주택
 
1

Length

Max length6
Median length4
Mean length4.7272727
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 195
63.3%
근린생활시설 112
36.4%
단독주택 1
 
0.3%

Length

2024-05-11T05:25:31.320468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:31.662909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
63.3%
근린생활시설 112
36.4%
단독주택 1
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing308
Missing (%)100.0%
Memory size2.8 KiB

지역구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
156 
근린상업지역
152 

Length

Max length6
Median length4
Mean length4.987013
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
50.6%
근린상업지역 152
49.4%

Length

2024-05-11T05:25:32.056990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:32.380499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
50.6%
근린상업지역 152
49.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF124203190000000119001108<NA>1영업/정상13영업중<NA><NA><NA><NA>683-6768<NA><NA>서울특별시 구로구 오류동 27-56번지서울특별시 구로구 경인로25길 56 (오류동)8267서울슈퍼비디오2011-10-30 13:54:44I2018-08-31 23:59:59.0<NA>186064.455585444042.019968비디오물시청제공업<NA>1<NA><NA>70.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFF124203199000000119900215<NA>1영업/정상13영업중<NA><NA><NA><NA>613-4149<NA>152820서울특별시 구로구 개봉동 452-5번지<NA><NA>태종비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA><NA><NA>비디오물시청제공업유통관련업3<NA><NA>29.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF124203199100000119911030<NA>3폐업03폐업20110520<NA><NA><NA>862-0980<NA>152855서울특별시 구로구 구로동 420-8번지<NA><NA>중앙비디오2011-05-20 09:32:05I2018-08-31 23:59:59.0<NA>189622.508643443636.544559비디오물시청제공업유통관련업2<NA><NA>100.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
33160000CDFF124203199100000219910830<NA>1영업/정상13영업중<NA><NA><NA><NA>863-1517<NA>152858서울특별시 구로구 구로동 507-4번지서울특별시 구로구 구로중앙로27길 28-1 (구로동)8280캘리포니아비디오프라자2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189714.770374443981.356873비디오물시청제공업유통관련업<NA><NA><NA>66.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
43160000CDFF124203199100000319910907<NA>3폐업03폐업20001227<NA><NA><NA>684-9139<NA>152833서울특별시 구로구 고척동 249-41번지서울특별시 구로구 고척로33길 38 (고척동)<NA>털보비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186537.793942444684.826564비디오물시청제공업유통관련업<NA><NA><NA>15.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
53160000CDFF124203199100000419911028<NA>1영업/정상13영업중<NA><NA><NA><NA>613-4636<NA><NA>서울특별시 구로구 고척동 52-229번지서울특별시 구로구 경인로47길 52 (고척동)8222에이스비디오2013-12-24 13:18:47I2018-08-31 23:59:59.0<NA>188046.598824444370.783702비디오물시청제공업<NA><NA><NA><NA>18.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
63160000CDFF124203199100000519911102<NA>1영업/정상13영업중<NA><NA><NA><NA>679-7522<NA>152886서울특별시 구로구 신도림동 293-93번지서울특별시 구로구 신도림로11라길 13 (신도림동)8204북하우스2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189216.705069445295.068906비디오물시청제공업유통관련업1<NA><NA>56.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
73160000CDFF124203199100000619911129<NA>3폐업03폐업20000303<NA><NA><NA>858-5817<NA>152801서울특별시 구로구 가리봉동 131-43번지서울특별시 구로구 우마3길 44 (가리봉동)<NA>은혜비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>190267.723569442188.259925비디오물시청제공업유통관련업<NA><NA><NA>23.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
83160000CDFF124203199100000719911207<NA>1영업/정상13영업중<NA><NA><NA><NA>869-9581<NA>152857서울특별시 구로구 구로동 466-144번지서울특별시 구로구 구로동로35가길 23 (구로동)8286무지개비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189447.158251443568.563193비디오물시청제공업유통관련업<NA><NA><NA>27.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
93160000CDFF124203199100000819911213<NA>3폐업03폐업20000811<NA><NA><NA>617-8321<NA>152090서울특별시 구로구 개봉동 130-21번지서울특별시 구로구 경인로31길 88 (개봉동)<NA>삼성비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186558.517228444333.575229비디오물시청제공업유통관련업4<NA><NA>19.21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2983160000CDFF124203200100001220010223<NA>1영업/정상13영업중<NA><NA><NA><NA>867-0058<NA>152868서울특별시 구로구 구로동 685-124번지 중앙하이츠상가 118호서울특별시 구로구 구일로8길 92 (구로동,중앙하이츠상가 118호)8323씨네마월드2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>188973.657255443848.715616비디오물시청제공업유통관련업3아파트지역<NA>21.4810근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
2993160000CDFF124203200100001320010327<NA>3폐업03폐업20010327<NA><NA><NA>681-3562<NA>152824서울특별시 구로구 고척동 52-212번지서울특별시 구로구 경인로47길 40 (고척동)<NA>영화이야기2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>188084.249742444328.553148비디오물시청제공업유통관련업<NA>기타<NA>0.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3003160000CDFF124203200100001420010220<NA>1영업/정상13영업중<NA><NA><NA><NA>688-6584<NA>152824서울특별시 구로구 고척동 57-30번지서울특별시 구로구 경인로47다길 37 (고척동)8219동신비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>188058.495246444654.869616비디오물시청제공업유통관련업2기타<NA>22.7510근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3013160000CDFF124203200100001520010705<NA>1영업/정상13영업중<NA><NA><NA><NA>2613-0956<NA>152814서울특별시 구로구 개봉동 334-27번지서울특별시 구로구 개봉로17길 78 (개봉동)8338준비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186796.630783443243.571694비디오물시청제공업유통관련업2주택가주변<NA>15.011<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3023160000CDFF124203200100001620010509<NA>1영업/정상13영업중<NA><NA><NA><NA>876-7504<NA>152836서울특별시 구로구 고척동 303번지서울특별시 구로구 고척로52길 63 (고척동)8232시네마천국2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>187222.986035444454.395649비디오물시청제공업유통관련업3주택가주변<NA>72.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3033160000CDFF124203200100001720010614<NA>1영업/정상13영업중<NA><NA><NA><NA>2618-6887<NA>152803서울특별시 구로구 개봉동 60-71번지서울특별시 구로구 고척로 92 (개봉동)8267비디오물대여업2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186168.49325444279.947924비디오물시청제공업유통관련업5주택가주변<NA>21.01<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3043160000CDFF124203200100001820010705<NA>1영업/정상13영업중<NA><NA><NA><NA>831-9766<NA>152050서울특별시 구로구 구로동 1267번지 태영상가 2동205서울특별시 구로구 새말로 93 (구로동,태영상가 2동205)8288태영책과비디오2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>190082.929062444879.272778비디오물시청제공업유통관련업2주택가주변<NA>28.622<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3053160000CDFF124203200100001920010726<NA>1영업/정상13영업중<NA><NA><NA><NA>855-8002<NA>152838서울특별시 구로구 구로동 3-13번지서울특별시 구로구 새말로 73 (구로동)8288비디오만화마을2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>190027.698481444764.956235비디오물시청제공업유통관련업3주택가주변<NA>11.21<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3063160000CDFF124203200100002020010803<NA>1영업/정상13영업중<NA><NA><NA><NA>689-3449<NA>152810서울특별시 구로구 개봉동 254-3번지 훼미리2단지 2층208호<NA><NA>현대홈책비디오대여점2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA><NA><NA>비디오물시청제공업유통관련업<NA>주택가주변<NA>0.02<NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
3073160000CDFF124203200100002120010622<NA>1영업/정상13영업중<NA><NA><NA><NA>2612-9182<NA>152818서울특별시 구로구 개봉동 407-11번지 현대(아)상가 208~210호<NA><NA>으뜸과버금2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA><NA><NA>비디오물시청제공업유통관련업4주택가주변<NA>44.02<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역