Overview

Dataset statistics

Number of variables56
Number of observations839
Missing cells21463
Missing cells (%)45.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.0 KiB
Average record size in memory488.2 B

Variable types

Categorical19
Text6
Numeric6
Unsupported22
DateTime1
Boolean2

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17353/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
편의시설여부 has constant value ""Constant
소방시설여부 has constant value ""Constant
도로명우편번호 is highly imbalanced (98.7%)Imbalance
총층수 is highly imbalanced (63.3%)Imbalance
지상층수 is highly imbalanced (52.3%)Imbalance
건물용도명 is highly imbalanced (90.7%)Imbalance
인허가취소일자 has 839 (100.0%) missing valuesMissing
휴업시작일자 has 839 (100.0%) missing valuesMissing
휴업종료일자 has 839 (100.0%) missing valuesMissing
재개업일자 has 839 (100.0%) missing valuesMissing
전화번호 has 26 (3.1%) missing valuesMissing
소재지면적 has 839 (100.0%) missing valuesMissing
소재지우편번호 has 177 (21.1%) missing valuesMissing
도로명주소 has 128 (15.3%) missing valuesMissing
업태구분명 has 839 (100.0%) missing valuesMissing
좌표정보(X) has 80 (9.5%) missing valuesMissing
좌표정보(Y) has 80 (9.5%) missing valuesMissing
주변환경명 has 837 (99.8%) missing valuesMissing
제작취급품목내용 has 839 (100.0%) missing valuesMissing
비상계단여부 has 839 (100.0%) missing valuesMissing
비상구여부 has 839 (100.0%) missing valuesMissing
자동환기여부 has 839 (100.0%) missing valuesMissing
청소년실여부 has 839 (100.0%) missing valuesMissing
특수조명여부 has 839 (100.0%) missing valuesMissing
방음시설여부 has 839 (100.0%) missing valuesMissing
비디오재생기명 has 839 (100.0%) missing valuesMissing
조명시설유무 has 839 (100.0%) missing valuesMissing
음향시설여부 has 839 (100.0%) missing valuesMissing
편의시설여부 has 838 (99.9%) missing valuesMissing
소방시설여부 has 838 (99.9%) missing valuesMissing
기존게임업외업종명 has 839 (100.0%) missing valuesMissing
제공게임물명 has 839 (100.0%) missing valuesMissing
공연장형태구분명 has 839 (100.0%) missing valuesMissing
품목명 has 839 (100.0%) missing valuesMissing
최초등록시점 has 839 (100.0%) missing valuesMissing
지역구분명 has 839 (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
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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 833 (99.3%) zerosZeros

Reproduction

Analysis started2024-04-18 02:56:31.241165
Analysis finished2024-04-18 02:56:31.921510
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3110000
839 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 839
100.0%

Length

2024-04-18T11:56:31.971409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:32.050841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 839
100.0%

관리번호
Text

UNIQUE 

Distinct839
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-18T11:56:32.194083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters16780
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

Unique839 ?
Unique (%)100.0%

Sample

1st rowCDFF1242031991000001
2nd rowCDFF1242031991000002
3rd rowCDFF1242031991000003
4th rowCDFF1242031991000004
5th rowCDFF1242031991000005
ValueCountFrequency (%)
cdff1242031991000001 1
 
0.1%
cdff1242031997000041 1
 
0.1%
cdff1242031996000050 1
 
0.1%
cdff1242031996000040 1
 
0.1%
cdff1242031996000041 1
 
0.1%
cdff1242031996000042 1
 
0.1%
cdff1242031996000043 1
 
0.1%
cdff1242031996000044 1
 
0.1%
cdff1242031996000045 1
 
0.1%
cdff1242031996000046 1
 
0.1%
Other values (829) 829
98.8%
2024-04-18T11:56:32.462607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4380
26.1%
2 2186
13.0%
1 2019
12.0%
9 1750
 
10.4%
F 1678
 
10.0%
4 1116
 
6.7%
3 1090
 
6.5%
C 839
 
5.0%
D 839
 
5.0%
5 251
 
1.5%
Other values (3) 632
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13424
80.0%
Uppercase Letter 3356
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4380
32.6%
2 2186
16.3%
1 2019
15.0%
9 1750
 
13.0%
4 1116
 
8.3%
3 1090
 
8.1%
5 251
 
1.9%
6 234
 
1.7%
7 214
 
1.6%
8 184
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
F 1678
50.0%
C 839
25.0%
D 839
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13424
80.0%
Latin 3356
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4380
32.6%
2 2186
16.3%
1 2019
15.0%
9 1750
 
13.0%
4 1116
 
8.3%
3 1090
 
8.1%
5 251
 
1.9%
6 234
 
1.7%
7 214
 
1.6%
8 184
 
1.4%
Latin
ValueCountFrequency (%)
F 1678
50.0%
C 839
25.0%
D 839
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4380
26.1%
2 2186
13.0%
1 2019
12.0%
9 1750
 
10.4%
F 1678
 
10.0%
4 1116
 
6.7%
3 1090
 
6.5%
C 839
 
5.0%
D 839
 
5.0%
5 251
 
1.5%
Other values (3) 632
 
3.8%

인허가일자
Real number (ℝ)

Distinct599
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19947789
Minimum19910603
Maximum20010906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:32.589619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910603
5-th percentile19911115
Q119920608
median19941006
Q319970520
95-th percentile20000125
Maximum20010906
Range100303
Interquartile range (IQR)49911.5

Descriptive statistics

Standard deviation27573.082
Coefficient of variation (CV)0.0013822625
Kurtosis-1.0109204
Mean19947789
Median Absolute Deviation (MAD)20403
Skewness0.43985272
Sum1.6736195 × 1010
Variance7.6027482 × 108
MonotonicityIncreasing
2024-04-18T11:56:32.713531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19920608 33
 
3.9%
19920605 15
 
1.8%
19920603 14
 
1.7%
19920521 9
 
1.1%
19920610 8
 
1.0%
19920529 6
 
0.7%
19920602 5
 
0.6%
19920530 5
 
0.6%
19920520 5
 
0.6%
19920523 4
 
0.5%
Other values (589) 735
87.6%
ValueCountFrequency (%)
19910603 1
0.1%
19910701 1
0.1%
19910704 2
0.2%
19910710 1
0.1%
19910715 1
0.1%
19910729 1
0.1%
19910801 1
0.1%
19910816 1
0.1%
19910819 2
0.2%
19910821 1
0.1%
ValueCountFrequency (%)
20010906 1
0.1%
20010731 1
0.1%
20010621 1
0.1%
20010523 1
0.1%
20010507 2
0.2%
20010321 1
0.1%
20010307 1
0.1%
20010305 1
0.1%
20010206 1
0.1%
20010202 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3
662 
4
177 

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 (%)
3 662
78.9%
4 177
 
21.1%

Length

2024-04-18T11:56:32.819921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:32.911274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 662
78.9%
4 177
 
21.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
폐업
662 
취소/말소/만료/정지/중지
177 

Length

Max length14
Median length2
Mean length4.5315852
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 662
78.9%
취소/말소/만료/정지/중지 177
 
21.1%

Length

2024-04-18T11:56:33.002082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:33.097521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 662
78.9%
취소/말소/만료/정지/중지 177
 
21.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
3
662 
35
177 

Length

Max length2
Median length1
Mean length1.2109654
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 662
78.9%
35 177
 
21.1%

Length

2024-04-18T11:56:33.194207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:33.292796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 662
78.9%
35 177
 
21.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
폐업
662 
직권말소
177 

Length

Max length4
Median length2
Mean length2.4219309
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 662
78.9%
직권말소 177
 
21.1%

Length

2024-04-18T11:56:33.399733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:33.503655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 662
78.9%
직권말소 177
 
21.1%

폐업일자
Real number (ℝ)

Distinct450
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20029934
Minimum19920625
Maximum20220228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:33.612608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920625
5-th percentile19950804
Q119970512
median19990515
Q320001116
95-th percentile20220228
Maximum20220228
Range299603
Interquartile range (IQR)30604

Descriptive statistics

Standard deviation99626.545
Coefficient of variation (CV)0.0049738829
Kurtosis-0.084904735
Mean20029934
Median Absolute Deviation (MAD)19898
Skewness1.3335362
Sum1.6805114 × 1010
Variance9.9254484 × 109
MonotonicityNot monotonic
2024-04-18T11:56:33.741760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220228 177
 
21.1%
19990515 67
 
8.0%
19991011 17
 
2.0%
19990617 16
 
1.9%
19960906 9
 
1.1%
19991129 9
 
1.1%
20000418 6
 
0.7%
19970730 4
 
0.5%
19981013 4
 
0.5%
19990524 4
 
0.5%
Other values (440) 526
62.7%
ValueCountFrequency (%)
19920625 1
0.1%
19921001 1
0.1%
19930506 1
0.1%
19931216 1
0.1%
19941007 1
0.1%
19950308 1
0.1%
19950320 1
0.1%
19950325 1
0.1%
19950329 1
0.1%
19950408 1
0.1%
ValueCountFrequency (%)
20220228 177
21.1%
20060103 1
 
0.1%
20011109 1
 
0.1%
20011024 1
 
0.1%
20010925 1
 
0.1%
20010924 2
 
0.2%
20010920 1
 
0.1%
20010914 1
 
0.1%
20010827 1
 
0.1%
20010824 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

전화번호
Text

MISSING 

Distinct743
Distinct (%)91.4%
Missing26
Missing (%)3.1%
Memory size6.7 KiB
2024-04-18T11:56:34.014876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.99631
Min length2

Characters and Unicode

Total characters6501
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

Unique687 ?
Unique (%)84.5%

Sample

1st row353-9295
2nd row386-8713
3rd row359-3722
4th row353-4832
5th row389-5257
ValueCountFrequency (%)
389-3371 5
 
0.6%
358-7117 3
 
0.4%
384-1733 3
 
0.4%
385-6890 3
 
0.4%
3677-6613 3
 
0.4%
359-0198 3
 
0.4%
766-2711 3
 
0.4%
373-4768 3
 
0.4%
383-8254 3
 
0.4%
358-5997 3
 
0.4%
Other values (733) 781
96.1%
2024-04-18T11:56:34.441381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1194
18.4%
- 813
12.5%
8 698
10.7%
5 698
10.7%
7 508
7.8%
0 463
 
7.1%
4 462
 
7.1%
2 444
 
6.8%
6 440
 
6.8%
9 415
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5688
87.5%
Dash Punctuation 813
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1194
21.0%
8 698
12.3%
5 698
12.3%
7 508
8.9%
0 463
 
8.1%
4 462
 
8.1%
2 444
 
7.8%
6 440
 
7.7%
9 415
 
7.3%
1 366
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1194
18.4%
- 813
12.5%
8 698
10.7%
5 698
10.7%
7 508
7.8%
0 463
 
7.1%
4 462
 
7.1%
2 444
 
6.8%
6 440
 
6.8%
9 415
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1194
18.4%
- 813
12.5%
8 698
10.7%
5 698
10.7%
7 508
7.8%
0 463
 
7.1%
4 462
 
7.1%
2 444
 
6.8%
6 440
 
6.8%
9 415
 
6.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)19.2%
Missing177
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean122843.51
Minimum122010
Maximum122960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:34.573447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122010
5-th percentile122800.1
Q1122832
median122871
Q3122906
95-th percentile122946.7
Maximum122960
Range950
Interquartile range (IQR)74

Descriptive statistics

Standard deviation152.27074
Coefficient of variation (CV)0.0012395506
Kurtosis16.500914
Mean122843.51
Median Absolute Deviation (MAD)37
Skewness-4.0539768
Sum81322401
Variance23186.377
MonotonicityNot monotonic
2024-04-18T11:56:34.701568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122200 20
 
2.4%
122895 19
 
2.3%
122842 16
 
1.9%
122935 16
 
1.9%
122837 16
 
1.9%
122924 16
 
1.9%
122959 15
 
1.8%
122819 14
 
1.7%
122917 14
 
1.7%
122896 13
 
1.5%
Other values (117) 503
60.0%
(Missing) 177
 
21.1%
ValueCountFrequency (%)
122010 2
 
0.2%
122020 1
 
0.1%
122030 1
 
0.1%
122040 1
 
0.1%
122050 1
 
0.1%
122060 2
 
0.2%
122200 20
2.4%
122800 6
 
0.7%
122802 2
 
0.2%
122803 1
 
0.1%
ValueCountFrequency (%)
122960 4
 
0.5%
122959 15
1.8%
122951 7
0.8%
122947 8
1.0%
122941 4
 
0.5%
122940 2
 
0.2%
122939 4
 
0.5%
122938 5
 
0.6%
122937 4
 
0.5%
122935 16
1.9%

지번주소
Text

Distinct723
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-18T11:56:34.953655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length22.61025
Min length17

Characters and Unicode

Total characters18970
Distinct characters80
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

Unique628 ?
Unique (%)74.9%

Sample

1st row서울특별시 은평구 응암동 71-4번지
2nd row서울특별시 은평구 불광동 424-1번지
3rd row서울특별시 은평구 신사동 1-15번지
4th row서울특별시 은평구 갈현동 471-16번지
5th row서울특별시 은평구 대조동 76-28번지
ValueCountFrequency (%)
서울특별시 839
23.8%
은평구 839
23.8%
응암동 137
 
3.9%
불광동 136
 
3.9%
갈현동 130
 
3.7%
역촌동 94
 
2.7%
신사동 73
 
2.1%
대조동 72
 
2.0%
1층 65
 
1.8%
녹번동 52
 
1.5%
Other values (774) 1086
30.8%
2024-04-18T11:56:35.312883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3507
18.5%
구 882
 
4.6%
동 863
 
4.5%
은 840
 
4.4%
평 840
 
4.4%
서 839
 
4.4%
울 839
 
4.4%
시 839
 
4.4%
별 839
 
4.4%
특 839
 
4.4%
Other values (70) 7843
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10818
57.0%
Decimal Number 3800
 
20.0%
Space Separator 3507
 
18.5%
Dash Punctuation 817
 
4.3%
Uppercase Letter 10
 
0.1%
Other Punctuation 8
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 882
 
8.2%
동 863
 
8.0%
은 840
 
7.8%
평 840
 
7.8%
서 839
 
7.8%
울 839
 
7.8%
시 839
 
7.8%
별 839
 
7.8%
특 839
 
7.8%
번 716
 
6.6%
Other values (52) 2482
22.9%
Decimal Number
ValueCountFrequency (%)
1 804
21.2%
2 559
14.7%
4 435
11.4%
3 405
10.7%
5 299
 
7.9%
8 288
 
7.6%
6 280
 
7.4%
9 251
 
6.6%
0 248
 
6.5%
7 231
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
/ 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
60.0%
B 4
40.0%
Space Separator
ValueCountFrequency (%)
3507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 817
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10818
57.0%
Common 8142
42.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 882
 
8.2%
동 863
 
8.0%
은 840
 
7.8%
평 840
 
7.8%
서 839
 
7.8%
울 839
 
7.8%
시 839
 
7.8%
별 839
 
7.8%
특 839
 
7.8%
번 716
 
6.6%
Other values (52) 2482
22.9%
Common
ValueCountFrequency (%)
3507
43.1%
- 817
 
10.0%
1 804
 
9.9%
2 559
 
6.9%
4 435
 
5.3%
3 405
 
5.0%
5 299
 
3.7%
8 288
 
3.5%
6 280
 
3.4%
9 251
 
3.1%
Other values (6) 497
 
6.1%
Latin
ValueCountFrequency (%)
A 6
60.0%
B 4
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10818
57.0%
ASCII 8152
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3507
43.0%
- 817
 
10.0%
1 804
 
9.9%
2 559
 
6.9%
4 435
 
5.3%
3 405
 
5.0%
5 299
 
3.7%
8 288
 
3.5%
6 280
 
3.4%
9 251
 
3.1%
Other values (8) 507
 
6.2%
Hangul
ValueCountFrequency (%)
구 882
 
8.2%
동 863
 
8.0%
은 840
 
7.8%
평 840
 
7.8%
서 839
 
7.8%
울 839
 
7.8%
시 839
 
7.8%
별 839
 
7.8%
특 839
 
7.8%
번 716
 
6.6%
Other values (52) 2482
22.9%

도로명주소
Text

MISSING 

Distinct607
Distinct (%)85.4%
Missing128
Missing (%)15.3%
Memory size6.7 KiB
2024-04-18T11:56:35.566589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length25.873418
Min length22

Characters and Unicode

Total characters18396
Distinct characters87
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

Unique524 ?
Unique (%)73.7%

Sample

1st row서울특별시 은평구 은평로16길 14 (응암동)
2nd row서울특별시 은평구 연서로34길 3 (불광동)
3rd row서울특별시 은평구 갈현로4길 22 (신사동)
4th row서울특별시 은평구 연서로17길 24 (갈현동)
5th row서울특별시 은평구 연서로41가길 18 (불광동)
ValueCountFrequency (%)
서울특별시 711
19.9%
은평구 711
19.9%
갈현동 108
 
3.0%
불광동 95
 
2.7%
응암동 91
 
2.5%
역촌동 77
 
2.2%
대조동 59
 
1.6%
신사동 58
 
1.6%
갈현로 44
 
1.2%
증산동 41
 
1.1%
Other values (540) 1585
44.3%
2024-04-18T11:56:35.945812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3419
18.6%
서 911
 
5.0%
은 763
 
4.1%
평 763
 
4.1%
구 748
 
4.1%
동 724
 
3.9%
( 715
 
3.9%
) 715
 
3.9%
특 711
 
3.9%
별 711
 
3.9%
Other values (77) 8216
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10733
58.3%
Space Separator 3419
 
18.6%
Decimal Number 2559
 
13.9%
Open Punctuation 715
 
3.9%
Close Punctuation 715
 
3.9%
Dash Punctuation 135
 
0.7%
Other Punctuation 118
 
0.6%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 911
 
8.5%
은 763
 
7.1%
평 763
 
7.1%
구 748
 
7.0%
동 724
 
6.7%
특 711
 
6.6%
별 711
 
6.6%
시 711
 
6.6%
울 711
 
6.6%
로 685
 
6.4%
Other values (59) 3295
30.7%
Decimal Number
ValueCountFrequency (%)
1 706
27.6%
2 423
16.5%
3 282
 
11.0%
4 199
 
7.8%
5 174
 
6.8%
8 161
 
6.3%
7 157
 
6.1%
6 153
 
6.0%
0 153
 
6.0%
9 151
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 117
99.2%
/ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
3419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 715
100.0%
Close Punctuation
ValueCountFrequency (%)
) 715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10733
58.3%
Common 7661
41.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 911
 
8.5%
은 763
 
7.1%
평 763
 
7.1%
구 748
 
7.0%
동 724
 
6.7%
특 711
 
6.6%
별 711
 
6.6%
시 711
 
6.6%
울 711
 
6.6%
로 685
 
6.4%
Other values (59) 3295
30.7%
Common
ValueCountFrequency (%)
3419
44.6%
( 715
 
9.3%
) 715
 
9.3%
1 706
 
9.2%
2 423
 
5.5%
3 282
 
3.7%
4 199
 
2.6%
5 174
 
2.3%
8 161
 
2.1%
7 157
 
2.0%
Other values (6) 710
 
9.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10733
58.3%
ASCII 7663
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3419
44.6%
( 715
 
9.3%
) 715
 
9.3%
1 706
 
9.2%
2 423
 
5.5%
3 282
 
3.7%
4 199
 
2.6%
5 174
 
2.3%
8 161
 
2.1%
7 157
 
2.0%
Other values (8) 712
 
9.3%
Hangul
ValueCountFrequency (%)
서 911
 
8.5%
은 763
 
7.1%
평 763
 
7.1%
구 748
 
7.0%
동 724
 
6.7%
특 711
 
6.6%
별 711
 
6.6%
시 711
 
6.6%
울 711
 
6.6%
로 685
 
6.4%
Other values (59) 3295
30.7%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
838 
3440
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 838
99.9%
3440 1
 
0.1%

Length

2024-04-18T11:56:36.059001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:36.154238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 838
99.9%
3440 1
 
0.1%

사업장명
Text

Distinct586
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-18T11:56:36.387003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.4004768
Min length2

Characters and Unicode

Total characters4531
Distinct characters381
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)54.0%

Sample

1st row포인트비디오
2nd row신라비디오
3rd row영 비디오
4th row낙원비디오
5th row원비디오
ValueCountFrequency (%)
원비디오 11
 
1.3%
영화마을 10
 
1.1%
아트비디오 10
 
1.1%
비디오뱅크 9
 
1.0%
비디오 9
 
1.0%
진비디오 7
 
0.8%
대우비디오 6
 
0.7%
영비디오 6
 
0.7%
비디오백화점 6
 
0.7%
루치아비디오 6
 
0.7%
Other values (592) 795
90.9%
2024-04-18T11:56:36.785214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 590
 
13.0%
비 584
 
12.9%
디 582
 
12.8%
영 75
 
1.7%
화 69
 
1.5%
점 69
 
1.5%
마 57
 
1.3%
드 48
 
1.1%
대 45
 
1.0%
스 44
 
1.0%
Other values (371) 2368
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4346
95.9%
Space Separator 44
 
1.0%
Uppercase Letter 39
 
0.9%
Close Punctuation 32
 
0.7%
Open Punctuation 29
 
0.6%
Decimal Number 26
 
0.6%
Other Punctuation 11
 
0.2%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 590
 
13.6%
비 584
 
13.4%
디 582
 
13.4%
영 75
 
1.7%
화 69
 
1.6%
점 69
 
1.6%
마 57
 
1.3%
드 48
 
1.1%
대 45
 
1.0%
스 44
 
1.0%
Other values (342) 2183
50.2%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.4%
M 6
15.4%
A 3
 
7.7%
P 3
 
7.7%
D 3
 
7.7%
O 2
 
5.1%
Q 2
 
5.1%
V 2
 
5.1%
I 2
 
5.1%
L 2
 
5.1%
Other values (5) 8
20.5%
Decimal Number
ValueCountFrequency (%)
2 13
50.0%
1 8
30.8%
5 4
 
15.4%
7 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
k 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4346
95.9%
Common 143
 
3.2%
Latin 42
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 590
 
13.6%
비 584
 
13.4%
디 582
 
13.4%
영 75
 
1.7%
화 69
 
1.6%
점 69
 
1.6%
마 57
 
1.3%
드 48
 
1.1%
대 45
 
1.0%
스 44
 
1.0%
Other values (342) 2183
50.2%
Latin
ValueCountFrequency (%)
C 6
14.3%
M 6
14.3%
A 3
 
7.1%
P 3
 
7.1%
D 3
 
7.1%
O 2
 
4.8%
Q 2
 
4.8%
V 2
 
4.8%
I 2
 
4.8%
L 2
 
4.8%
Other values (8) 11
26.2%
Common
ValueCountFrequency (%)
44
30.8%
) 32
22.4%
( 29
20.3%
2 13
 
9.1%
1 8
 
5.6%
. 7
 
4.9%
5 4
 
2.8%
& 3
 
2.1%
- 1
 
0.7%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4346
95.9%
ASCII 185
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 590
 
13.6%
비 584
 
13.4%
디 582
 
13.4%
영 75
 
1.7%
화 69
 
1.6%
점 69
 
1.6%
마 57
 
1.3%
드 48
 
1.1%
대 45
 
1.0%
스 44
 
1.0%
Other values (342) 2183
50.2%
ASCII
ValueCountFrequency (%)
44
23.8%
) 32
17.3%
( 29
15.7%
2 13
 
7.0%
1 8
 
4.3%
. 7
 
3.8%
C 6
 
3.2%
M 6
 
3.2%
5 4
 
2.2%
A 3
 
1.6%
Other values (19) 33
17.8%

최종수정일자
Date

Distinct194
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2003-04-17 19:25:54
Maximum2022-02-28 16:18:36
2024-04-18T11:56:36.908076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:56:37.040392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
I
662 
U
177 

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 662
78.9%
U 177
 
21.1%

Length

2024-04-18T11:56:37.144550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:37.236874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 662
78.9%
u 177
 
21.1%

데이터갱신일자
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2018-08-31 23:59:59.0
662 
2022-03-02 02:40:00.0
177 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

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 23:59:59.0 662
78.9%
2022-03-02 02:40:00.0 177
 
21.1%

Length

2024-04-18T11:56:37.333229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:37.423391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 662
39.5%
23:59:59.0 662
39.5%
2022-03-02 177
 
10.5%
02:40:00.0 177
 
10.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct588
Distinct (%)77.5%
Missing80
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean192709.39
Minimum190066.88
Maximum194368.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:37.520854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190066.88
5-th percentile191553.95
Q1192220.15
median192726.56
Q3193188.49
95-th percentile193985.07
Maximum194368.25
Range4301.3647
Interquartile range (IQR)968.33769

Descriptive statistics

Standard deviation772.29067
Coefficient of variation (CV)0.0040075405
Kurtosis0.39292665
Mean192709.39
Median Absolute Deviation (MAD)478.28158
Skewness-0.3551187
Sum1.4626643 × 108
Variance596432.89
MonotonicityNot monotonic
2024-04-18T11:56:37.632058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192699.265154185 6
 
0.7%
191972.522414897 5
 
0.6%
191704.29694655 5
 
0.6%
192598.99032475 4
 
0.5%
192408.185985402 4
 
0.5%
192966.334311314 4
 
0.5%
192394.38902612 4
 
0.5%
193687.83561561 4
 
0.5%
193600.888431741 4
 
0.5%
192566.160620713 4
 
0.5%
Other values (578) 715
85.2%
(Missing) 80
 
9.5%
ValueCountFrequency (%)
190066.880282325 2
0.2%
190150.311027841 1
0.1%
190375.87488799 1
0.1%
190377.298071187 1
0.1%
190563.176402607 1
0.1%
190580.720782516 1
0.1%
190586.006588557 2
0.2%
190596.666943928 1
0.1%
190612.300274375 1
0.1%
190612.328271849 1
0.1%
ValueCountFrequency (%)
194368.2450096 1
 
0.1%
194367.970247735 3
0.4%
194312.94392833 2
0.2%
194287.932993927 1
 
0.1%
194252.332909856 1
 
0.1%
194251.363562897 1
 
0.1%
194231.521658717 1
 
0.1%
194220.324789601 2
0.2%
194199.974992846 2
0.2%
194158.845416297 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct588
Distinct (%)77.5%
Missing80
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean456070.77
Minimum452910.08
Maximum460553.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:37.747781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452910.08
5-th percentile453526.08
Q1454895.24
median456169.71
Q3457276.28
95-th percentile458187.12
Maximum460553.04
Range7642.965
Interquartile range (IQR)2381.0397

Descriptive statistics

Standard deviation1508.6587
Coefficient of variation (CV)0.0033079486
Kurtosis-0.69153706
Mean456070.77
Median Absolute Deviation (MAD)1175.138
Skewness-0.096395818
Sum3.4615771 × 108
Variance2276050.9
MonotonicityNot monotonic
2024-04-18T11:56:37.877703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456352.884578706 6
 
0.7%
453596.504385194 5
 
0.6%
455832.121222412 5
 
0.6%
458256.056907266 4
 
0.5%
458142.168384713 4
 
0.5%
457941.542572325 4
 
0.5%
457003.705874938 4
 
0.5%
456469.658454439 4
 
0.5%
456957.233580498 4
 
0.5%
457996.1471375 4
 
0.5%
Other values (578) 715
85.2%
(Missing) 80
 
9.5%
ValueCountFrequency (%)
452910.079476527 1
0.1%
452924.117735363 1
0.1%
453033.23092639 1
0.1%
453054.241333334 1
0.1%
453069.284009484 2
0.2%
453076.83952286 2
0.2%
453162.144113573 1
0.1%
453177.63932035 1
0.1%
453186.447060975 1
0.1%
453201.795288361 2
0.2%
ValueCountFrequency (%)
460553.044427 1
 
0.1%
460171.877663104 1
 
0.1%
460115.192976192 1
 
0.1%
459261.155656896 1
 
0.1%
459212.396206053 1
 
0.1%
459183.734632 2
0.2%
459145.048149527 3
0.4%
459087.706851721 1
 
0.1%
459080.209971543 1
 
0.1%
459076.520883 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
비디오물시청제공업
839 

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 839
100.0%

Length

2024-04-18T11:56:37.992165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:38.072951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물시청제공업 839
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
유통관련업
662 
<NA>
177 

Length

Max length5
Median length5
Mean length4.7890346
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 662
78.9%
<NA> 177
 
21.1%

Length

2024-04-18T11:56:38.162864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:38.248374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 662
78.9%
na 177
 
21.1%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
598 
0
232 
4
 
5
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.1382598
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 598
71.3%
0 232
 
27.7%
4 5
 
0.6%
2 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%

Length

2024-04-18T11:56:38.350186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:38.471580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 598
71.3%
0 232
 
27.7%
4 5
 
0.6%
2 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing837
Missing (%)99.8%
Memory size6.7 KiB
2024-04-18T11:56:38.573612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row주택가주변
ValueCountFrequency (%)
주택가주변 2
100.0%
2024-04-18T11:56:38.768344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

시설면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.7%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.22362768
Minimum0
Maximum53.82
Zeros833
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-18T11:56:38.859719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum53.82
Range53.82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0618594
Coefficient of variation (CV)13.691773
Kurtosis225.92049
Mean0.22362768
Median Absolute Deviation (MAD)0
Skewness14.713026
Sum187.4
Variance9.3749832
MonotonicityNot monotonic
2024-04-18T11:56:38.944624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 833
99.3%
34.0 1
 
0.1%
49.58 1
 
0.1%
53.82 1
 
0.1%
33.0 1
 
0.1%
17.0 1
 
0.1%
(Missing) 1
 
0.1%
ValueCountFrequency (%)
0.0 833
99.3%
17.0 1
 
0.1%
33.0 1
 
0.1%
34.0 1
 
0.1%
49.58 1
 
0.1%
53.82 1
 
0.1%
ValueCountFrequency (%)
53.82 1
 
0.1%
49.58 1
 
0.1%
34.0 1
 
0.1%
33.0 1
 
0.1%
17.0 1
 
0.1%
0.0 833
99.3%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
598 
0
229 
1
 
11
2
 
1

Length

Max length4
Median length4
Mean length3.1382598
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 598
71.3%
0 229
 
27.3%
1 11
 
1.3%
2 1
 
0.1%

Length

2024-04-18T11:56:39.046239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:39.167669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 598
71.3%
0 229
 
27.3%
1 11
 
1.3%
2 1
 
0.1%

지하층수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
598 
0
241 

Length

Max length4
Median length4
Mean length3.1382598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 598
71.3%
0 241
28.7%

Length

2024-04-18T11:56:39.274107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:39.367380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 598
71.3%
0 241
28.7%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
829 
근린생활시설
 
10

Length

Max length6
Median length4
Mean length4.0238379
Min length4

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> 829
98.8%
근린생활시설 10
 
1.2%

Length

2024-04-18T11:56:39.464442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:39.558712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 829
98.8%
근린생활시설 10
 
1.2%

통로너비
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
662 
0
177 

Length

Max length4
Median length4
Mean length3.3671037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 662
78.9%
0 177
 
21.1%

Length

2024-04-18T11:56:39.652316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:39.743686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
78.9%
0 177
 
21.1%

조명시설조도
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
662 
0
177 

Length

Max length4
Median length4
Mean length3.3671037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 662
78.9%
0 177
 
21.1%

Length

2024-04-18T11:56:39.840356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:39.930419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
78.9%
0 177
 
21.1%

노래방실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
662 
0
177 

Length

Max length4
Median length4
Mean length3.3671037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 662
78.9%
0 177
 
21.1%

Length

2024-04-18T11:56:40.026503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:40.115489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
78.9%
0 177
 
21.1%

청소년실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
662 
0
177 

Length

Max length4
Median length4
Mean length3.3671037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 662
78.9%
0 177
 
21.1%

Length

2024-04-18T11:56:40.209499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:40.302574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
78.9%
0 177
 
21.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

편의시설여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing838
Missing (%)99.9%
Memory size1.8 KiB
False
 
1
(Missing)
838 
ValueCountFrequency (%)
False 1
 
0.1%
(Missing) 838
99.9%
2024-04-18T11:56:40.380082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방시설여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing838
Missing (%)99.9%
Memory size1.8 KiB
False
 
1
(Missing)
838 
ValueCountFrequency (%)
False 1
 
0.1%
(Missing) 838
99.9%
2024-04-18T11:56:40.438831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총게임기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
662 
0
177 

Length

Max length4
Median length4
Mean length3.3671037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 662
78.9%
0 177
 
21.1%

Length

2024-04-18T11:56:40.524406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:40.610997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
78.9%
0 177
 
21.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF124203199100000119910603<NA>3폐업3폐업19990515<NA><NA><NA>353-9295<NA>122906서울특별시 은평구 응암동 71-4번지서울특별시 은평구 은평로16길 14 (응암동)<NA>포인트비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193730.891064455309.902138비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFF124203199100000219910701<NA>3폐업3폐업19961007<NA><NA><NA>386-8713<NA>122866서울특별시 은평구 불광동 424-1번지서울특별시 은평구 연서로34길 3 (불광동)<NA>신라비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193469.215932457682.561298비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF124203199100000319910704<NA>3폐업3폐업19960214<NA><NA><NA>359-3722<NA>122879서울특별시 은평구 신사동 1-15번지서울특별시 은평구 갈현로4길 22 (신사동)<NA>영 비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192208.817073455441.146528비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFF124203199100000419910704<NA>3폐업3폐업19960530<NA><NA><NA>353-4832<NA>122813서울특별시 은평구 갈현동 471-16번지서울특별시 은평구 연서로17길 24 (갈현동)<NA>낙원비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192429.161105456775.5976비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFF124203199100000519910710<NA>3폐업3폐업19970730<NA><NA><NA>389-5257<NA>122947서울특별시 은평구 대조동 76-28번지<NA><NA>원비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193355.841892456467.876738비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFF124203199100000619910715<NA>3폐업3폐업19970730<NA><NA><NA>303-8097<NA>122875서울특별시 은평구 수색동 205-572번지<NA><NA>경훈비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA><NA><NA>비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFF124203199100000719910729<NA>3폐업3폐업19981021<NA><NA><NA>387-8242<NA>122868서울특별시 은평구 불광동 447-78번지서울특별시 은평구 연서로41가길 18 (불광동)<NA>대우비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193366.462336458171.445791비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFF124203199100000819910801<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>302-1815<NA><NA>서울특별시 은평구 신사동 228-35서울특별시 은평구 가좌로 335 (신사동)3440둘이비디오2022-02-28 09:30:53U2022-03-02 02:40:00.0<NA>191814.511177454925.717483비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83110000CDFF124203199100000919910816<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>308-5660<NA><NA>서울특별시 은평구 신사동 342-29서울특별시 은평구 증산로15길 34 (신사동)<NA>신사비디오2022-02-28 09:31:23U2022-03-02 02:40:00.0<NA>191971.341155454208.777825비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93110000CDFF124203199100001019910819<NA>3폐업3폐업19991011<NA><NA><NA>352-4543<NA>122947서울특별시 은평구 대조동 88-250번지서울특별시 은평구 역말로10길 3 (대조동)<NA>비오비디오2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193114.682942456559.157617비디오물시청제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
8293110000CDFF124203200100000420010206<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>385-7924<NA><NA>서울특별시 은평구 역촌동 14-55 1층서울특별시 은평구 서오릉로9길 14-1 (역촌동,1층)<NA>영재비디오2022-02-28 16:12:50U2022-03-02 02:40:00.0<NA>192897.248651456063.736194비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8303110000CDFF124203200100000520010305<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>357-4077<NA><NA>서울특별시 은평구 불광동 270서울특별시 은평구 통일로68길 15 (불광동)<NA>영화볼래 책볼래2022-02-28 16:14:20U2022-03-02 02:40:00.0<NA>193766.940037456725.146905비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8313110000CDFF124203200100000620010307<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>382-5484<NA><NA>서울특별시 은평구 불광동 239-7 5통2반 1층서울특별시 은평구 불광로 109 (불광동,1층)<NA>문화마당(불광점)2022-02-28 16:14:36U2022-03-02 02:40:00.0<NA>193976.182231457134.379567비디오물시청제공업<NA>2주택가주변<NA>33.020근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8323110000CDFF124203200100000720010321<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 489-9 23통1반서울특별시 은평구 연서로17길 41-1 (갈현동)<NA>스크린하우스2022-02-28 16:14:51U2022-03-02 02:40:00.0<NA>192241.45217456832.163244비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8333110000CDFF124203200100000820010507<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>283-<NA><NA>서울특별시 은평구 신사동 359 203서울특별시 은평구 은평터널로 164 (신사동,203)<NA>비디오 보이2022-02-28 16:15:58U2022-03-02 02:40:00.0<NA>191859.619258454581.328201비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8343110000CDFF124203200100000920010507<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>302-0390<NA><NA>서울특별시 은평구 증산동 184-14 1층서울특별시 은평구 증산서길 58 (증산동,1층)<NA>캔디 책비디오2022-02-28 16:17:20U2022-03-02 02:40:00.0<NA>191555.444915453287.955707비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8353110000CDFF124203200100001020010523<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>305-5515<NA><NA>서울특별시 은평구 응암동 250-4 1층서울특별시 은평구 가좌로7나길 34 (응암동,1층)<NA>비디오랜드2022-02-28 16:17:50U2022-03-02 02:40:00.0<NA>192800.846247453458.706496비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8363110000CDFF124203200100001120010621<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>307-5955<NA><NA>서울특별시 은평구 증산동 189-25 1층서울특별시 은평구 증산서길 101 (증산동,1층)<NA>비디오 여행2022-02-28 16:18:06U2022-03-02 02:40:00.0<NA>191788.655359453651.274972비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8373110000CDFF124203200100001220010731<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>9392-606<NA><NA>서울특별시 은평구 수색동 363-5 1층서울특별시 은평구 수색로18길 3 (수색동,1층)<NA>일월유통2022-02-28 16:18:36U2022-03-02 02:40:00.0<NA>190563.176403453472.632793비디오물시청제공업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
8383110000CDFF124203200100001320010906<NA>4취소/말소/만료/정지/중지35직권말소20220228<NA><NA><NA>385-9933<NA><NA>서울특별시 은평구 녹번동 19-121서울특별시 은평구 통일로 636 (녹번동)<NA>(주) 전자랜드 녹번점2022-02-28 13:42:45U2022-03-02 02:40:00.0<NA>194220.32479455685.624981비디오물시청제공업<NA>4주택가주변<NA>17.010근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>