Overview

Dataset statistics

Number of variables56
Number of observations138
Missing cells4016
Missing cells (%)52.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.3 KiB
Average record size in memory492.0 B

Variable types

Categorical17
Text6
DateTime2
Unsupported26
Numeric5

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17628/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.3%)Imbalance
영업상태명 is highly imbalanced (52.3%)Imbalance
상세영업상태코드 is highly imbalanced (52.3%)Imbalance
상세영업상태명 is highly imbalanced (52.3%)Imbalance
데이터갱신일자 is highly imbalanced (51.0%)Imbalance
인허가취소일자 has 138 (100.0%) missing valuesMissing
폐업일자 has 116 (84.1%) missing valuesMissing
휴업시작일자 has 138 (100.0%) missing valuesMissing
휴업종료일자 has 138 (100.0%) missing valuesMissing
재개업일자 has 138 (100.0%) missing valuesMissing
전화번호 has 78 (56.5%) missing valuesMissing
소재지면적 has 138 (100.0%) missing valuesMissing
소재지우편번호 has 126 (91.3%) missing valuesMissing
도로명주소 has 10 (7.2%) missing valuesMissing
도로명우편번호 has 66 (47.8%) missing valuesMissing
업태구분명 has 138 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.2%) missing valuesMissing
좌표정보(Y) has 3 (2.2%) missing valuesMissing
문화사업자구분명 has 138 (100.0%) missing valuesMissing
주변환경명 has 138 (100.0%) missing valuesMissing
제작취급품목내용 has 138 (100.0%) missing valuesMissing
건물용도명 has 138 (100.0%) missing valuesMissing
비상계단여부 has 138 (100.0%) missing valuesMissing
비상구여부 has 138 (100.0%) missing valuesMissing
자동환기여부 has 138 (100.0%) missing valuesMissing
청소년실여부 has 138 (100.0%) missing valuesMissing
특수조명여부 has 138 (100.0%) missing valuesMissing
방음시설여부 has 138 (100.0%) missing valuesMissing
비디오재생기명 has 138 (100.0%) missing valuesMissing
조명시설유무 has 138 (100.0%) missing valuesMissing
음향시설여부 has 138 (100.0%) missing valuesMissing
편의시설여부 has 138 (100.0%) missing valuesMissing
소방시설여부 has 138 (100.0%) missing valuesMissing
기존게임업외업종명 has 138 (100.0%) missing valuesMissing
제공게임물명 has 138 (100.0%) missing valuesMissing
공연장형태구분명 has 138 (100.0%) missing valuesMissing
품목명 has 138 (100.0%) missing valuesMissing
최초등록시점 has 26 (18.8%) missing valuesMissing
지역구분명 has 138 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:47:34.327810
Analysis finished2024-04-06 11:47:35.328567
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3010000
138 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 138
100.0%

Length

2024-04-06T20:47:35.448304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:35.603863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 138
100.0%

관리번호
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:47:35.886431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2760
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

Unique138 ?
Unique (%)100.0%

Sample

1st rowCDFF5211031999000002
2nd rowCDFF5211031999000003
3rd rowCDFF5211031999000004
4th rowCDFF5211031999000005
5th rowCDFF5211031999000006
ValueCountFrequency (%)
cdff5211031999000002 1
 
0.7%
cdff5211032016000013 1
 
0.7%
cdff5211032015000008 1
 
0.7%
cdff5211032018000003 1
 
0.7%
cdff5211032018000002 1
 
0.7%
cdff5211032018000001 1
 
0.7%
cdff5211032017000007 1
 
0.7%
cdff5211032017000006 1
 
0.7%
cdff5211032018000005 1
 
0.7%
cdff5211032018000004 1
 
0.7%
Other values (128) 128
92.8%
2024-04-06T20:47:36.413203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 986
35.7%
1 408
14.8%
2 321
 
11.6%
F 276
 
10.0%
3 170
 
6.2%
5 158
 
5.7%
C 138
 
5.0%
D 138
 
5.0%
9 80
 
2.9%
4 28
 
1.0%
Other values (3) 57
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2208
80.0%
Uppercase Letter 552
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 986
44.7%
1 408
18.5%
2 321
 
14.5%
3 170
 
7.7%
5 158
 
7.2%
9 80
 
3.6%
4 28
 
1.3%
6 24
 
1.1%
8 19
 
0.9%
7 14
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 276
50.0%
C 138
25.0%
D 138
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2208
80.0%
Latin 552
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 986
44.7%
1 408
18.5%
2 321
 
14.5%
3 170
 
7.7%
5 158
 
7.2%
9 80
 
3.6%
4 28
 
1.3%
6 24
 
1.1%
8 19
 
0.9%
7 14
 
0.6%
Latin
ValueCountFrequency (%)
F 276
50.0%
C 138
25.0%
D 138
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 986
35.7%
1 408
14.8%
2 321
 
11.6%
F 276
 
10.0%
3 170
 
6.2%
5 158
 
5.7%
C 138
 
5.0%
D 138
 
5.0%
9 80
 
2.9%
4 28
 
1.0%
Other values (3) 57
 
2.1%

인허가일자
Date

Distinct130
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1999-05-17 00:00:00
Maximum2024-03-06 00:00:00
2024-04-06T20:47:36.646798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:36.881623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
116 
3
17 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 116
84.1%
3 17
 
12.3%
5 5
 
3.6%

Length

2024-04-06T20:47:37.122459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:37.298796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 116
84.1%
3 17
 
12.3%
5 5
 
3.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
116 
폐업
17 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.7391304
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 116
84.1%
폐업 17
 
12.3%
제외/삭제/전출 5
 
3.6%

Length

2024-04-06T20:47:37.516281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:37.708497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 116
84.1%
폐업 17
 
12.3%
제외/삭제/전출 5
 
3.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
116 
3
17 
15
 
5

Length

Max length2
Median length2
Mean length1.8768116
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 116
84.1%
3 17
 
12.3%
15 5
 
3.6%

Length

2024-04-06T20:47:37.889777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:38.089204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 116
84.1%
3 17
 
12.3%
15 5
 
3.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
116 
폐업
17 
전출
 
5

Length

Max length3
Median length3
Mean length2.8405797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 116
84.1%
폐업 17
 
12.3%
전출 5
 
3.6%

Length

2024-04-06T20:47:38.267745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:38.472423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 116
84.1%
폐업 17
 
12.3%
전출 5
 
3.6%

폐업일자
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing116
Missing (%)84.1%
Memory size1.2 KiB
2024-04-06T20:47:38.736871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.3636364
Min length8

Characters and Unicode

Total characters184
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

Unique22 ?
Unique (%)100.0%

Sample

1st row20180430
2nd row20221219
3rd row20110325
4th row20201230
5th row20221231
ValueCountFrequency (%)
20180430 1
 
4.5%
20221219 1
 
4.5%
2023-08-14 1
 
4.5%
99991207 1
 
4.5%
2023-11-02 1
 
4.5%
20191203 1
 
4.5%
20220520 1
 
4.5%
20190326 1
 
4.5%
20211110 1
 
4.5%
2023-05-15 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T20:47:39.351885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 50
27.2%
0 45
24.5%
1 38
20.7%
3 14
 
7.6%
- 8
 
4.3%
9 7
 
3.8%
5 7
 
3.8%
7 6
 
3.3%
8 4
 
2.2%
4 3
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176
95.7%
Dash Punctuation 8
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 50
28.4%
0 45
25.6%
1 38
21.6%
3 14
 
8.0%
9 7
 
4.0%
5 7
 
4.0%
7 6
 
3.4%
8 4
 
2.3%
4 3
 
1.7%
6 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 50
27.2%
0 45
24.5%
1 38
20.7%
3 14
 
7.6%
- 8
 
4.3%
9 7
 
3.8%
5 7
 
3.8%
7 6
 
3.3%
8 4
 
2.2%
4 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 50
27.2%
0 45
24.5%
1 38
20.7%
3 14
 
7.6%
- 8
 
4.3%
9 7
 
3.8%
5 7
 
3.8%
7 6
 
3.3%
8 4
 
2.2%
4 3
 
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct58
Distinct (%)96.7%
Missing78
Missing (%)56.5%
Memory size1.2 KiB
2024-04-06T20:47:39.703382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.2
Min length7

Characters and Unicode

Total characters612
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row2263-4117
2nd row2268-8379
3rd row2266-5812
4th row2272-3757
5th row22760074
ValueCountFrequency (%)
2235-1378 2
 
3.3%
02-2266-2296 2
 
3.3%
7758542 1
 
1.7%
070-4137-5071 1
 
1.7%
02-736-5515 1
 
1.7%
027267474 1
 
1.7%
02-538-1254 1
 
1.7%
02-319-2800 1
 
1.7%
02-757-2611 1
 
1.7%
070-4256-1678 1
 
1.7%
Other values (48) 48
80.0%
2024-04-06T20:47:40.455903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 123
20.1%
- 81
13.2%
0 73
11.9%
7 67
10.9%
6 57
9.3%
8 47
 
7.7%
3 38
 
6.2%
1 37
 
6.0%
4 37
 
6.0%
5 28
 
4.6%
Other values (2) 24
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
86.6%
Dash Punctuation 81
 
13.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 123
23.2%
0 73
13.8%
7 67
12.6%
6 57
10.8%
8 47
 
8.9%
3 38
 
7.2%
1 37
 
7.0%
4 37
 
7.0%
5 28
 
5.3%
9 23
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 123
20.1%
- 81
13.2%
0 73
11.9%
7 67
10.9%
6 57
9.3%
8 47
 
7.7%
3 38
 
6.2%
1 37
 
6.0%
4 37
 
6.0%
5 28
 
4.6%
Other values (2) 24
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 123
20.1%
- 81
13.2%
0 73
11.9%
7 67
10.9%
6 57
9.3%
8 47
 
7.7%
3 38
 
6.2%
1 37
 
6.0%
4 37
 
6.0%
5 28
 
4.6%
Other values (2) 24
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing126
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean100262.58
Minimum100013
Maximum100826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T20:47:40.689920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100013
5-th percentile100014.1
Q1100079
median100260.5
Q3100315
95-th percentile100619.2
Maximum100826
Range813
Interquartile range (IQR)236

Descriptive statistics

Standard deviation227.8151
Coefficient of variation (CV)0.0022721846
Kurtosis2.6004906
Mean100262.58
Median Absolute Deviation (MAD)132.5
Skewness1.2788021
Sum1203151
Variance51899.72
MonotonicityNot monotonic
2024-04-06T20:47:40.890215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
100300 2
 
1.4%
100095 1
 
0.7%
100240 1
 
0.7%
100013 1
 
0.7%
100450 1
 
0.7%
100031 1
 
0.7%
100360 1
 
0.7%
100271 1
 
0.7%
100250 1
 
0.7%
100826 1
 
0.7%
(Missing) 126
91.3%
ValueCountFrequency (%)
100013 1
0.7%
100015 1
0.7%
100031 1
0.7%
100095 1
0.7%
100240 1
0.7%
100250 1
0.7%
100271 1
0.7%
100300 2
1.4%
100360 1
0.7%
100450 1
0.7%
ValueCountFrequency (%)
100826 1
0.7%
100450 1
0.7%
100360 1
0.7%
100300 2
1.4%
100271 1
0.7%
100250 1
0.7%
100240 1
0.7%
100095 1
0.7%
100031 1
0.7%
100015 1
0.7%

지번주소
Text

Distinct115
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:47:41.268598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length32.5
Mean length25.5
Min length14

Characters and Unicode

Total characters3519
Distinct characters149
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

Unique99 ?
Unique (%)71.7%

Sample

1st row서울특별시 중구 필동*가 ***-*번지 제산빌딩
2nd row서울특별시 중구 인현동*가 ***-*번지 조광빌딩 ***호
3rd row서울특별시 중구 충무로*가 극동빌딩 ***호
4th row서울특별시 중구 남대문로*가 ***번지 제일제당빌딩
5th row서울특별시 중구 저동*가 **-**번지 경구빌딩
ValueCountFrequency (%)
서울특별시 138
20.0%
중구 138
20.0%
번지 94
13.6%
39
 
5.7%
충무로*가 36
 
5.2%
호 33
 
4.8%
필동*가 19
 
2.8%
층 14
 
2.0%
저동*가 13
 
1.9%
신당동 13
 
1.9%
Other values (92) 152
22.1%
2024-04-06T20:47:41.925899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 657
18.7%
654
18.6%
중 144
 
4.1%
구 144
 
4.1%
서 143
 
4.1%
울 141
 
4.0%
특 138
 
3.9%
별 138
 
3.9%
시 138
 
3.9%
동 105
 
3.0%
Other values (139) 1117
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2065
58.7%
Other Punctuation 660
 
18.8%
Space Separator 654
 
18.6%
Dash Punctuation 104
 
3.0%
Lowercase Letter 17
 
0.5%
Decimal Number 13
 
0.4%
Uppercase Letter 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 144
 
7.0%
구 144
 
7.0%
서 143
 
6.9%
울 141
 
6.8%
특 138
 
6.7%
별 138
 
6.7%
시 138
 
6.7%
동 105
 
5.1%
지 105
 
5.1%
가 96
 
4.6%
Other values (113) 773
37.4%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
e 3
17.6%
i 3
17.6%
a 2
11.8%
c 1
 
5.9%
h 1
 
5.9%
s 1
 
5.9%
t 1
 
5.9%
r 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
6 2
 
15.4%
0 2
 
15.4%
3 1
 
7.7%
7 1
 
7.7%
8 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
F 1
25.0%
C 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 657
99.5%
, 2
 
0.3%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2065
58.7%
Common 1433
40.7%
Latin 21
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 144
 
7.0%
구 144
 
7.0%
서 143
 
6.9%
울 141
 
6.8%
특 138
 
6.7%
별 138
 
6.7%
시 138
 
6.7%
동 105
 
5.1%
지 105
 
5.1%
가 96
 
4.6%
Other values (113) 773
37.4%
Common
ValueCountFrequency (%)
* 657
45.8%
654
45.6%
- 104
 
7.3%
2 6
 
0.4%
6 2
 
0.1%
0 2
 
0.1%
, 2
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
3 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
n 4
19.0%
e 3
14.3%
i 3
14.3%
a 2
9.5%
c 1
 
4.8%
D 1
 
4.8%
h 1
 
4.8%
F 1
 
4.8%
s 1
 
4.8%
t 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2065
58.7%
ASCII 1454
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 657
45.2%
654
45.0%
- 104
 
7.2%
2 6
 
0.4%
n 4
 
0.3%
e 3
 
0.2%
i 3
 
0.2%
6 2
 
0.1%
0 2
 
0.1%
a 2
 
0.1%
Other values (16) 17
 
1.2%
Hangul
ValueCountFrequency (%)
중 144
 
7.0%
구 144
 
7.0%
서 143
 
6.9%
울 141
 
6.8%
특 138
 
6.7%
별 138
 
6.7%
시 138
 
6.7%
동 105
 
5.1%
지 105
 
5.1%
가 96
 
4.6%
Other values (113) 773
37.4%

도로명주소
Text

MISSING 

Distinct116
Distinct (%)90.6%
Missing10
Missing (%)7.2%
Memory size1.2 KiB
2024-04-06T20:47:42.481203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length41
Mean length33.882812
Min length24

Characters and Unicode

Total characters4337
Distinct characters165
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

Unique105 ?
Unique (%)82.0%

Sample

1st row서울특별시 중구 퇴계로**가길 *** (필동*가,제산빌딩)
2nd row서울특별시 중구 을지로**길 ** (인현동*가,조광빌딩 ***호)
3rd row서울특별시 중구 소월로*길 ** (남대문로*가,제일제당빌딩)
4th row서울특별시 중구 수표로 **-** (저동*가,경구빌딩)
5th row서울특별시 중구 퇴계로 ***-* (주자동,내외빌딩 ***호)
ValueCountFrequency (%)
129
15.8%
서울특별시 128
15.7%
중구 128
15.7%
호 65
 
8.0%
층 43
 
5.3%
퇴계로 19
 
2.3%
충무로*가 16
 
2.0%
수표로 12
 
1.5%
필동*가 11
 
1.3%
퇴계로**길 10
 
1.2%
Other values (146) 255
31.2%
2024-04-06T20:47:43.531307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 744
17.2%
736
17.0%
로 170
 
3.9%
, 144
 
3.3%
중 137
 
3.2%
서 136
 
3.1%
구 135
 
3.1%
울 131
 
3.0%
( 129
 
3.0%
시 129
 
3.0%
Other values (155) 1746
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2381
54.9%
Other Punctuation 889
 
20.5%
Space Separator 736
 
17.0%
Open Punctuation 129
 
3.0%
Close Punctuation 129
 
3.0%
Dash Punctuation 26
 
0.6%
Decimal Number 24
 
0.6%
Lowercase Letter 17
 
0.4%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 170
 
7.1%
중 137
 
5.8%
서 136
 
5.7%
구 135
 
5.7%
울 131
 
5.5%
시 129
 
5.4%
특 128
 
5.4%
별 128
 
5.4%
동 112
 
4.7%
가 95
 
4.0%
Other values (126) 1080
45.4%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
i 3
17.6%
e 3
17.6%
a 2
11.8%
r 1
 
5.9%
t 1
 
5.9%
c 1
 
5.9%
s 1
 
5.9%
h 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 7
29.2%
0 5
20.8%
4 4
16.7%
1 3
12.5%
6 2
 
8.3%
8 1
 
4.2%
9 1
 
4.2%
3 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
F 1
16.7%
B 1
16.7%
D 1
16.7%
L 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 744
83.7%
, 144
 
16.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2381
54.9%
Common 1933
44.6%
Latin 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 170
 
7.1%
중 137
 
5.8%
서 136
 
5.7%
구 135
 
5.7%
울 131
 
5.5%
시 129
 
5.4%
특 128
 
5.4%
별 128
 
5.4%
동 112
 
4.7%
가 95
 
4.0%
Other values (126) 1080
45.4%
Common
ValueCountFrequency (%)
* 744
38.5%
736
38.1%
, 144
 
7.4%
( 129
 
6.7%
) 129
 
6.7%
- 26
 
1.3%
2 7
 
0.4%
0 5
 
0.3%
4 4
 
0.2%
1 3
 
0.2%
Other values (5) 6
 
0.3%
Latin
ValueCountFrequency (%)
n 4
17.4%
i 3
13.0%
e 3
13.0%
a 2
8.7%
C 2
8.7%
r 1
 
4.3%
t 1
 
4.3%
F 1
 
4.3%
B 1
 
4.3%
c 1
 
4.3%
Other values (4) 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2381
54.9%
ASCII 1956
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 744
38.0%
736
37.6%
, 144
 
7.4%
( 129
 
6.6%
) 129
 
6.6%
- 26
 
1.3%
2 7
 
0.4%
0 5
 
0.3%
n 4
 
0.2%
4 4
 
0.2%
Other values (19) 28
 
1.4%
Hangul
ValueCountFrequency (%)
로 170
 
7.1%
중 137
 
5.8%
서 136
 
5.7%
구 135
 
5.7%
울 131
 
5.5%
시 129
 
5.4%
특 128
 
5.4%
별 128
 
5.4%
동 112
 
4.7%
가 95
 
4.0%
Other values (126) 1080
45.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)59.7%
Missing66
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean28475.736
Minimum4505
Maximum100863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T20:47:43.757439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4505
5-th percentile4514.65
Q14552.75
median4602
Q328479.5
95-th percentile100311.6
Maximum100863
Range96358
Interquartile range (IQR)23926.75

Descriptive statistics

Standard deviation41693.638
Coefficient of variation (CV)1.4641812
Kurtosis-0.62710001
Mean28475.736
Median Absolute Deviation (MAD)49.5
Skewness1.1794355
Sum2050253
Variance1.7383594 × 109
MonotonicityNot monotonic
2024-04-06T20:47:44.016415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4559 6
 
4.3%
4630 4
 
2.9%
4521 4
 
2.9%
4626 3
 
2.2%
100032 3
 
2.2%
100272 3
 
2.2%
4627 3
 
2.2%
4519 2
 
1.4%
4554 2
 
1.4%
100014 2
 
1.4%
Other values (33) 40
29.0%
(Missing) 66
47.8%
ValueCountFrequency (%)
4505 1
 
0.7%
4508 1
 
0.7%
4511 1
 
0.7%
4513 1
 
0.7%
4516 1
 
0.7%
4519 2
1.4%
4520 2
1.4%
4521 4
2.9%
4522 1
 
0.7%
4538 1
 
0.7%
ValueCountFrequency (%)
100863 1
 
0.7%
100371 2
1.4%
100360 1
 
0.7%
100272 3
2.2%
100194 1
 
0.7%
100110 1
 
0.7%
100101 1
 
0.7%
100043 1
 
0.7%
100032 3
2.2%
100014 2
1.4%

사업장명
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:47:44.526383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length8.7753623
Min length3

Characters and Unicode

Total characters1211
Distinct characters243
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)100.0%

Sample

1st row유호필름
2nd row(주)코리아준
3rd row(주)엔터원알에스에스
4th row제일제당
5th row동호영화사
ValueCountFrequency (%)
주식회사 20
 
11.4%
영화사 2
 
1.1%
유한회사 2
 
1.1%
유호필름 1
 
0.6%
영화사울림 1
 
0.6%
주)영화사조제 1
 
0.6%
애니투아트(주 1
 
0.6%
주)시네마서비스 1
 
0.6%
소공원 1
 
0.6%
모비딕엔터테인먼트(주 1
 
0.6%
Other values (145) 145
82.4%
2024-04-06T20:47:45.351442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 85
 
7.0%
) 69
 
5.7%
( 69
 
5.7%
사 43
 
3.6%
38
 
3.1%
스 36
 
3.0%
트 33
 
2.7%
이 31
 
2.6%
영 27
 
2.2%
인 24
 
2.0%
Other values (233) 756
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 983
81.2%
Close Punctuation 69
 
5.7%
Open Punctuation 69
 
5.7%
Space Separator 38
 
3.1%
Uppercase Letter 23
 
1.9%
Lowercase Letter 18
 
1.5%
Other Symbol 5
 
0.4%
Other Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 85
 
8.6%
사 43
 
4.4%
스 36
 
3.7%
트 33
 
3.4%
이 31
 
3.2%
영 27
 
2.7%
인 24
 
2.4%
회 24
 
2.4%
화 23
 
2.3%
식 22
 
2.2%
Other values (203) 635
64.6%
Uppercase Letter
ValueCountFrequency (%)
E 4
17.4%
I 3
13.0%
M 3
13.0%
S 2
8.7%
H 2
8.7%
G 2
8.7%
N 1
 
4.3%
L 1
 
4.3%
T 1
 
4.3%
P 1
 
4.3%
Other values (3) 3
13.0%
Lowercase Letter
ValueCountFrequency (%)
t 4
22.2%
n 4
22.2%
a 3
16.7%
e 2
11.1%
r 2
11.1%
m 1
 
5.6%
i 1
 
5.6%
f 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
7 1
33.3%
3 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 988
81.6%
Common 182
 
15.0%
Latin 41
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 85
 
8.6%
사 43
 
4.4%
스 36
 
3.6%
트 33
 
3.3%
이 31
 
3.1%
영 27
 
2.7%
인 24
 
2.4%
회 24
 
2.4%
화 23
 
2.3%
식 22
 
2.2%
Other values (204) 640
64.8%
Latin
ValueCountFrequency (%)
t 4
 
9.8%
n 4
 
9.8%
E 4
 
9.8%
I 3
 
7.3%
M 3
 
7.3%
a 3
 
7.3%
e 2
 
4.9%
r 2
 
4.9%
S 2
 
4.9%
H 2
 
4.9%
Other values (11) 12
29.3%
Common
ValueCountFrequency (%)
) 69
37.9%
( 69
37.9%
38
20.9%
. 2
 
1.1%
& 1
 
0.5%
8 1
 
0.5%
7 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 983
81.2%
ASCII 223
 
18.4%
None 5
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 85
 
8.6%
사 43
 
4.4%
스 36
 
3.7%
트 33
 
3.4%
이 31
 
3.2%
영 27
 
2.7%
인 24
 
2.4%
회 24
 
2.4%
화 23
 
2.3%
식 22
 
2.2%
Other values (203) 635
64.6%
ASCII
ValueCountFrequency (%)
) 69
30.9%
( 69
30.9%
38
17.0%
t 4
 
1.8%
n 4
 
1.8%
E 4
 
1.8%
I 3
 
1.3%
M 3
 
1.3%
a 3
 
1.3%
e 2
 
0.9%
Other values (19) 24
 
10.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

최종수정일자
Date

Distinct132
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2010-04-30 09:25:57
Maximum2024-03-29 13:31:19
2024-04-06T20:47:45.659845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:47:45.894258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
111 
U
27 

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 111
80.4%
U 27
 
19.6%

Length

2024-04-06T20:47:46.157960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:46.378637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 111
80.4%
u 27
 
19.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct44
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
93 
2022-12-04 23:07:00.0
 
2
2021-11-01 22:01:00.0
 
2
2022-10-30 22:08:00.0
 
1
2021-12-05 22:05:00.0
 
1
Other values (39)
39 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique41 ?
Unique (%)29.7%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 93
67.4%
2022-12-04 23:07:00.0 2
 
1.4%
2021-11-01 22:01:00.0 2
 
1.4%
2022-10-30 22:08:00.0 1
 
0.7%
2021-12-05 22:05:00.0 1
 
0.7%
2020-02-06 02:40:00.0 1
 
0.7%
2021-12-06 00:08:00.0 1
 
0.7%
2021-01-06 02:40:00.0 1
 
0.7%
2022-11-30 22:09:00.0 1
 
0.7%
2021-11-01 22:03:00.0 1
 
0.7%
Other values (34) 34
 
24.6%

Length

2024-04-06T20:47:46.566708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 93
33.7%
23:59:59.0 93
33.7%
02:40:00.0 10
 
3.6%
2021-11-01 4
 
1.4%
2022-12-04 3
 
1.1%
23:07:00.0 3
 
1.1%
22:09:00.0 3
 
1.1%
2022-12-05 2
 
0.7%
00:08:00.0 2
 
0.7%
23:02:00.0 2
 
0.7%
Other values (57) 61
22.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)73.3%
Missing3
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean199150.67
Minimum197032.92
Maximum201334.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T20:47:46.810109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197032.92
5-th percentile197380.74
Q1198754.04
median199224.13
Q3199559.81
95-th percentile200809.91
Maximum201334.59
Range4301.6667
Interquartile range (IQR)805.77316

Descriptive statistics

Standard deviation930.01145
Coefficient of variation (CV)0.0046698886
Kurtosis0.29019109
Mean199150.67
Median Absolute Deviation (MAD)437.52873
Skewness-0.10834203
Sum26885341
Variance864921.3
MonotonicityNot monotonic
2024-04-06T20:47:47.143163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199829.423596734 5
 
3.6%
199279.677406441 5
 
3.6%
198306.905839189 4
 
2.9%
199810.591813598 3
 
2.2%
199055.551450467 3
 
2.2%
199144.232344128 3
 
2.2%
197091.389988673 2
 
1.4%
199108.051771449 2
 
1.4%
197566.862311117 2
 
1.4%
198554.88341859 2
 
1.4%
Other values (89) 104
75.4%
(Missing) 3
 
2.2%
ValueCountFrequency (%)
197032.923485936 1
0.7%
197091.389988673 2
1.4%
197098.402787244 1
0.7%
197145.814732973 1
0.7%
197185.873726348 1
0.7%
197227.696686492 1
0.7%
197446.325172007 1
0.7%
197554.559528663 1
0.7%
197566.862311117 2
1.4%
197799.544196134 1
0.7%
ValueCountFrequency (%)
201334.590197278 1
0.7%
201202.996128307 1
0.7%
201086.643957694 1
0.7%
201070.939288323 1
0.7%
200993.950427338 1
0.7%
200931.446400556 1
0.7%
200809.914617529 2
1.4%
200775.549026559 1
0.7%
200727.25125512 2
1.4%
200644.579481757 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)73.3%
Missing3
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean451055.63
Minimum449712.36
Maximum451817.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T20:47:47.381876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449712.36
5-th percentile450428.06
Q1450875.99
median451084.66
Q3451225.77
95-th percentile451780.76
Maximum451817.52
Range2105.1513
Interquartile range (IQR)349.77463

Descriptive statistics

Standard deviation401.30736
Coefficient of variation (CV)0.00088970702
Kurtosis1.0212409
Mean451055.63
Median Absolute Deviation (MAD)200.02023
Skewness-0.41992664
Sum60892510
Variance161047.6
MonotonicityNot monotonic
2024-04-06T20:47:47.644352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451140.199847659 5
 
3.6%
451120.517700578 5
 
3.6%
451808.098341971 4
 
2.9%
451300.59780961 3
 
2.2%
451190.625636477 3
 
2.2%
451225.7676101 3
 
2.2%
450506.228057671 2
 
1.4%
451225.552115194 2
 
1.4%
451100.772883934 2
 
1.4%
451001.448149829 2
 
1.4%
Other values (89) 104
75.4%
(Missing) 3
 
2.2%
ValueCountFrequency (%)
449712.364033668 1
0.7%
449759.71549401 1
0.7%
450112.493848373 1
0.7%
450131.890199294 1
0.7%
450252.400952479 1
0.7%
450337.552017602 1
0.7%
450404.145064734 1
0.7%
450438.308878994 2
1.4%
450486.142609794 1
0.7%
450503.754799491 1
0.7%
ValueCountFrequency (%)
451817.515366883 1
 
0.7%
451808.098341971 4
2.9%
451793.816975812 2
1.4%
451775.169253151 1
 
0.7%
451763.953458172 1
 
0.7%
451725.851518121 1
 
0.7%
451720.217970577 1
 
0.7%
451705.306153084 1
 
0.7%
451658.304454683 1
 
0.7%
451649.523377737 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영화배급업
112 
<NA>
26 

Length

Max length5
Median length5
Mean length4.8115942
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:47.858502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:48.050201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 112
81.2%
na 26
 
18.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

총층수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:48.241387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:48.414373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:48.585297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:48.747490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

지상층수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:48.937894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:49.139722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

지하층수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:49.342886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:49.546187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

통로너비
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:49.791745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:49.987592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

조명시설조도
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:50.203413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:50.439302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

노래방실수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:50.644545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:50.850180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

청소년실수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:51.255897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:51.477476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
112 
<NA>
26 

Length

Max length4
Median length1
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 112
81.2%
<NA> 26
 
18.8%

Length

2024-04-06T20:47:51.695025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:47:51.878442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
81.2%
na 26
 
18.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)92.9%
Missing26
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean20084030
Minimum19990517
Maximum20210715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T20:47:52.094143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990517
5-th percentile19990530
Q120000612
median20091058
Q320141138
95-th percentile20195463
Maximum20210715
Range220198
Interquartile range (IQR)140525.5

Descriptive statistics

Standard deviation72475.925
Coefficient of variation (CV)0.0036086346
Kurtosis-1.3393245
Mean20084030
Median Absolute Deviation (MAD)69364
Skewness0.031578014
Sum2.2494113 × 109
Variance5.2527597 × 109
MonotonicityNot monotonic
2024-04-06T20:47:52.321208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990809 2
 
1.4%
19990519 2
 
1.4%
20100428 2
 
1.4%
20080415 2
 
1.4%
20000612 2
 
1.4%
20000229 2
 
1.4%
19990517 2
 
1.4%
19990528 2
 
1.4%
19990828 1
 
0.7%
20141111 1
 
0.7%
Other values (94) 94
68.1%
(Missing) 26
 
18.8%
ValueCountFrequency (%)
19990517 2
1.4%
19990519 2
1.4%
19990528 2
1.4%
19990531 1
0.7%
19990629 1
0.7%
19990703 1
0.7%
19990720 1
0.7%
19990809 2
1.4%
19990828 1
0.7%
19990907 1
0.7%
ValueCountFrequency (%)
20210715 1
0.7%
20210624 1
0.7%
20210426 1
0.7%
20210406 1
0.7%
20201113 1
0.7%
20201026 1
0.7%
20190911 1
0.7%
20190730 1
0.7%
20190314 1
0.7%
20190304 1
0.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF521103199900000219990517<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 ***-*번지 제산빌딩서울특별시 중구 퇴계로**가길 *** (필동*가,제산빌딩)<NA>유호필름2011-05-31 11:04:42I2018-08-31 23:59:59.0<NA>199494.71603450404.145065영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990517<NA>
13010000CDFF521103199900000319990517<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동*가 ***-*번지 조광빌딩 ***호서울특별시 중구 을지로**길 ** (인현동*가,조광빌딩 ***호)<NA>(주)코리아준2011-05-31 11:09:40I2018-08-31 23:59:59.0<NA>199353.409063451394.349814영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990517<NA>
23010000CDFF521103199900000419990519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 극동빌딩 ***호<NA><NA>(주)엔터원알에스에스2011-05-31 11:32:20I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990519<NA>
33010000CDFF521103199900000519990519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100095서울특별시 중구 남대문로*가 ***번지 제일제당빌딩서울특별시 중구 소월로*길 ** (남대문로*가,제일제당빌딩)<NA>제일제당2011-05-31 11:15:20I2018-08-31 23:59:59.0<NA>197802.292054450252.400952영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990519<NA>
43010000CDFF521103199900000619990528<NA>1영업/정상13영업중<NA><NA><NA><NA>2263-4117<NA><NA>서울특별시 중구 저동*가 **-**번지 경구빌딩서울특별시 중구 수표로 **-** (저동*가,경구빌딩)<NA>동호영화사2011-05-31 11:28:35I2018-08-31 23:59:59.0<NA>199144.232344451225.76761영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990528<NA>
53010000CDFF521103199900000719990528<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 주자동 **-*번지 내외빌딩 ***호서울특별시 중구 퇴계로 ***-* (주자동,내외빌딩 ***호)<NA>대성필름2011-05-31 11:34:31I2018-08-31 23:59:59.0<NA>199039.325258450952.020564영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990528<NA>
63010000CDFF521103199900000819990531<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*번지 청화빌딩 *층서울특별시 중구 동호로 *** (신당동,청화빌딩 *층)<NA>에임프로덕션2011-05-31 11:37:21I2018-08-31 23:59:59.0<NA>200809.914618450438.308879영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990531<NA>
73010000CDFF521103199900000919990629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 **번지 문화빌딩 ***호서울특별시 중구 퇴계로**길 ** (필동*가,문화빌딩 ***호)<NA>신한영화(주)2011-05-31 11:48:43I2018-08-31 23:59:59.0<NA>199705.336258451004.606432영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990629<NA>
83010000CDFF521103199900001019990703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100240서울특별시 중구 주자동 **-*번지 흥국빌딩 *층서울특별시 중구 퇴계로 *** (주자동,흥국빌딩 *층)<NA>(주)한맥영화2011-05-31 11:47:34I2018-08-31 23:59:59.0<NA>199060.668824450946.459723영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990703<NA>
93010000CDFF521103199900001119990720<NA>1영업/정상13영업중<NA><NA><NA><NA>2268-8379<NA><NA>서울특별시 중구 충무로*가 **-*번지 유경빌딩 ***호서울특별시 중구 삼일대로*길 ** (충무로*가,유경빌딩 ***호)<NA>신사단영화2011-05-31 14:31:05I2018-08-31 23:59:59.0<NA>199067.419469451106.903131영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990720<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1283010000CDFF52110320230000032023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 저동*가 **-*서울특별시 중구 수표로 **, *층 ***호 (저동*가)4552(주)억만장자픽처스2023-03-22 17:50:09I2022-12-02 22:04:00.0<NA>199055.55145451190.625636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293010000CDFF52110320230000042023-05-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 예장동 *-***서울특별시 중구 소파로 **-**, *층 (예장동)4630기린그림2023-05-10 17:34:08I2022-12-04 23:02:00.0<NA>198606.250287450538.565465<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303010000CDFF52110320230000052023-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-* 지산타운서울특별시 중구 동호로**길 *, 지산타운 ***호 (신당동)4607(주)르뉴2023-05-15 17:21:44I2022-12-04 23:07:00.0<NA>200727.251255450675.266316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1313010000CDFF52110320230000062016-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 ****호 (다동)4521커넥트픽쳐스(주)2023-06-12 09:41:47U2022-12-05 23:04:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323010000CDFF52110320230000072022-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 **-* 중구통일회관서울특별시 중구 서애로 **, 중구통일회관 *층 ****호 (필동*가)4623레드무비2023-06-13 09:36:16I2022-12-05 23:05:00.0<NA>199693.572507450879.051156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1333010000CDFF52110320230000082022-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6238-3200<NA><NA>서울특별시 중구 필동*가 **-* 근아빌딩 ***호서울특별시 중구 퇴계로**가길 **, ***호 (필동*가)4626사단법인 배리어프리영화위원회2023-08-02 15:23:14I2022-12-08 00:04:00.0<NA>199541.768319450792.116073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1343010000CDFF52110320240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 **-*서울특별시 중구 을지로**길 *, ***호 (을지로*가)4561애그식렌(EGSHIGLEN)2024-01-16 10:17:49I2023-11-30 23:08:00.0<NA>200510.751884451521.914137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1353010000CDFF52110320240000022013-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 ****호 (다동)4521주식회사 영화사달리기2024-02-27 09:43:29I2023-12-01 22:09:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363010000CDFF52110320240000032024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 ***-** 정호 힐-사이드서울특별시 중구 필동로*길 **-*, ***호 (필동*가, 정호 힐-사이드)4626보리수나무영화사2024-03-06 13:27:19I2023-12-03 00:08:00.0<NA>199488.479391450337.552018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373010000CDFF52110320240000042023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 정동 *-* *층서울특별시 중구 세종대로**길 **, *층 (정동)4519주식회사 올랄라스토리2024-03-29 13:31:19I2023-12-02 21:01:00.0<NA>197807.272037451613.96845<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>