Overview

Dataset statistics

Number of variables56
Number of observations375
Missing cells10972
Missing cells (%)52.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory179.6 KiB
Average record size in memory490.4 B

Variable types

Categorical16
Text6
DateTime4
Unsupported26
Numeric4

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-17728/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.1%)Imbalance
영업상태명 is highly imbalanced (52.1%)Imbalance
상세영업상태코드 is highly imbalanced (52.1%)Imbalance
상세영업상태명 is highly imbalanced (52.1%)Imbalance
인허가취소일자 has 375 (100.0%) missing valuesMissing
폐업일자 has 315 (84.0%) missing valuesMissing
휴업시작일자 has 375 (100.0%) missing valuesMissing
휴업종료일자 has 375 (100.0%) missing valuesMissing
재개업일자 has 375 (100.0%) missing valuesMissing
전화번호 has 316 (84.3%) missing valuesMissing
소재지면적 has 375 (100.0%) missing valuesMissing
소재지우편번호 has 286 (76.3%) missing valuesMissing
도로명주소 has 27 (7.2%) missing valuesMissing
도로명우편번호 has 195 (52.0%) missing valuesMissing
업태구분명 has 375 (100.0%) missing valuesMissing
좌표정보(X) has 12 (3.2%) missing valuesMissing
좌표정보(Y) has 12 (3.2%) missing valuesMissing
문화사업자구분명 has 375 (100.0%) missing valuesMissing
주변환경명 has 375 (100.0%) missing valuesMissing
제작취급품목내용 has 375 (100.0%) missing valuesMissing
건물용도명 has 375 (100.0%) missing valuesMissing
비상계단여부 has 375 (100.0%) missing valuesMissing
비상구여부 has 375 (100.0%) missing valuesMissing
자동환기여부 has 375 (100.0%) missing valuesMissing
청소년실여부 has 375 (100.0%) missing valuesMissing
특수조명여부 has 375 (100.0%) missing valuesMissing
방음시설여부 has 375 (100.0%) missing valuesMissing
비디오재생기명 has 375 (100.0%) missing valuesMissing
조명시설유무 has 375 (100.0%) missing valuesMissing
음향시설여부 has 375 (100.0%) missing valuesMissing
편의시설여부 has 375 (100.0%) missing valuesMissing
소방시설여부 has 375 (100.0%) missing valuesMissing
기존게임업외업종명 has 375 (100.0%) missing valuesMissing
제공게임물명 has 375 (100.0%) missing valuesMissing
공연장형태구분명 has 375 (100.0%) missing valuesMissing
품목명 has 375 (100.0%) missing valuesMissing
최초등록시점 has 59 (15.7%) missing valuesMissing
지역구분명 has 375 (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
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 started2024-04-29 19:26:19.046537
Analysis finished2024-04-29 19:26:20.080975
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3010000
375 

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 375
100.0%

Length

2024-04-30T04:26:20.164108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:20.270359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 375
100.0%

관리번호
Text

UNIQUE 

Distinct375
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-30T04:26:20.459769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7500
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

Unique375 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011973000001
2nd rowCDFF5211011973000002
3rd rowCDFF5211011985000001
4th rowCDFF5211011986000001
5th rowCDFF5211011987000001
ValueCountFrequency (%)
cdff5211011973000001 1
 
0.3%
cdff5211012014000009 1
 
0.3%
cdff5211012015000012 1
 
0.3%
cdff5211012015000011 1
 
0.3%
cdff5211012015000008 1
 
0.3%
cdff5211012015000007 1
 
0.3%
cdff5211012015000005 1
 
0.3%
cdff5211012015000004 1
 
0.3%
cdff5211012015000003 1
 
0.3%
cdff5211012015000002 1
 
0.3%
Other values (365) 365
97.3%
2024-04-30T04:26:20.809728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2645
35.3%
1 1525
20.3%
2 889
 
11.9%
F 750
 
10.0%
5 433
 
5.8%
C 375
 
5.0%
D 375
 
5.0%
9 140
 
1.9%
3 104
 
1.4%
4 83
 
1.1%
Other values (3) 181
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6000
80.0%
Uppercase Letter 1500
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2645
44.1%
1 1525
25.4%
2 889
 
14.8%
5 433
 
7.2%
9 140
 
2.3%
3 104
 
1.7%
4 83
 
1.4%
8 64
 
1.1%
7 60
 
1.0%
6 57
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 750
50.0%
C 375
25.0%
D 375
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6000
80.0%
Latin 1500
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2645
44.1%
1 1525
25.4%
2 889
 
14.8%
5 433
 
7.2%
9 140
 
2.3%
3 104
 
1.7%
4 83
 
1.4%
8 64
 
1.1%
7 60
 
1.0%
6 57
 
0.9%
Latin
ValueCountFrequency (%)
F 750
50.0%
C 375
25.0%
D 375
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2645
35.3%
1 1525
20.3%
2 889
 
11.9%
F 750
 
10.0%
5 433
 
5.8%
C 375
 
5.0%
D 375
 
5.0%
9 140
 
1.9%
3 104
 
1.4%
4 83
 
1.1%
Other values (3) 181
 
2.4%

인허가일자
Date

Distinct345
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1973-03-31 00:00:00
Maximum2024-04-08 00:00:00
2024-04-30T04:26:20.990949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:21.151979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
315 
3
46 
5
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 315
84.0%
3 46
 
12.3%
5 14
 
3.7%

Length

2024-04-30T04:26:21.322301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:21.436941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 315
84.0%
3 46
 
12.3%
5 14
 
3.7%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
315 
폐업
46 
제외/삭제/전출
 
14

Length

Max length8
Median length5
Mean length4.744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 315
84.0%
폐업 46
 
12.3%
제외/삭제/전출 14
 
3.7%

Length

2024-04-30T04:26:21.560202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:21.676010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 315
84.0%
폐업 46
 
12.3%
제외/삭제/전출 14
 
3.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
13
315 
3
46 
15
 
14

Length

Max length2
Median length2
Mean length1.8773333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 315
84.0%
3 46
 
12.3%
15 14
 
3.7%

Length

2024-04-30T04:26:21.784818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:21.905215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 315
84.0%
3 46
 
12.3%
15 14
 
3.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업중
315 
폐업
46 
전출
 
14

Length

Max length3
Median length3
Mean length2.84
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 315
84.0%
폐업 46
 
12.3%
전출 14
 
3.7%

Length

2024-04-30T04:26:22.018335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:22.108553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 315
84.0%
폐업 46
 
12.3%
전출 14
 
3.7%

폐업일자
Date

MISSING 

Distinct55
Distinct (%)91.7%
Missing315
Missing (%)84.0%
Memory size3.1 KiB
Minimum2011-04-13 00:00:00
Maximum2024-02-26 00:00:00
2024-04-30T04:26:22.207116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:22.346992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

전화번호
Text

MISSING 

Distinct55
Distinct (%)93.2%
Missing316
Missing (%)84.3%
Memory size3.1 KiB
2024-04-30T04:26:22.552618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.966102
Min length1

Characters and Unicode

Total characters647
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

Unique51 ?
Unique (%)86.4%

Sample

1st row753-0391
2nd row2265-1108
3rd row2274-5751
4th row4
5th row02-2231-9129
ValueCountFrequency (%)
070-4904-0707 2
 
3.4%
02-2231-6440 2
 
3.4%
02)6363-4600 2
 
3.4%
02-2277-0801 2
 
3.4%
02-726-7474 1
 
1.7%
02)2001-8900 1
 
1.7%
0222322234 1
 
1.7%
02-2231-9110 1
 
1.7%
02-2038-0977 1
 
1.7%
02-3445-1213 1
 
1.7%
Other values (45) 45
76.3%
2024-04-30T04:26:22.855016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
17.3%
2 108
16.7%
- 96
14.8%
7 51
7.9%
3 47
7.3%
6 47
7.3%
1 42
 
6.5%
4 39
 
6.0%
9 35
 
5.4%
8 35
 
5.4%
Other values (2) 35
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 548
84.7%
Dash Punctuation 96
 
14.8%
Close Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
20.4%
2 108
19.7%
7 51
9.3%
3 47
8.6%
6 47
8.6%
1 42
 
7.7%
4 39
 
7.1%
9 35
 
6.4%
8 35
 
6.4%
5 32
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 647
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
17.3%
2 108
16.7%
- 96
14.8%
7 51
7.9%
3 47
7.3%
6 47
7.3%
1 42
 
6.5%
4 39
 
6.0%
9 35
 
5.4%
8 35
 
5.4%
Other values (2) 35
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
17.3%
2 108
16.7%
- 96
14.8%
7 51
7.9%
3 47
7.3%
6 47
7.3%
1 42
 
6.5%
4 39
 
6.0%
9 35
 
5.4%
8 35
 
5.4%
Other values (2) 35
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)40.4%
Missing286
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean100221
Minimum100011
Maximum100895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-30T04:26:22.976499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100012
Q1100031
median100250
Q3100273
95-th percentile100769.8
Maximum100895
Range884
Interquartile range (IQR)242

Descriptive statistics

Standard deviation219.01318
Coefficient of variation (CV)0.0021853023
Kurtosis1.8133232
Mean100221
Median Absolute Deviation (MAD)201
Skewness1.3089222
Sum8919669
Variance47966.773
MonotonicityNot monotonic
2024-04-30T04:26:23.096977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
100013 8
 
2.1%
100272 8
 
2.1%
100271 8
 
2.1%
100012 8
 
2.1%
100032 6
 
1.6%
100273 6
 
1.6%
100043 5
 
1.3%
100014 3
 
0.8%
100391 3
 
0.8%
100451 3
 
0.8%
Other values (26) 31
 
8.3%
(Missing) 286
76.3%
ValueCountFrequency (%)
100011 1
 
0.3%
100012 8
2.1%
100013 8
2.1%
100014 3
 
0.8%
100015 2
 
0.5%
100031 1
 
0.3%
100032 6
1.6%
100042 2
 
0.5%
100043 5
1.3%
100101 1
 
0.3%
ValueCountFrequency (%)
100895 1
 
0.3%
100893 1
 
0.3%
100826 1
 
0.3%
100822 1
 
0.3%
100779 1
 
0.3%
100756 1
 
0.3%
100451 3
0.8%
100450 1
 
0.3%
100411 2
0.5%
100400 1
 
0.3%

지번주소
Text

Distinct265
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-30T04:26:23.327532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length25.421333
Min length12

Characters and Unicode

Total characters9533
Distinct characters236
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

Unique213 ?
Unique (%)56.8%

Sample

1st row서울특별시 중구 충무로*가 **-**번지
2nd row서울특별시 중구 다동 **번지 동아빌딩 *층동
3rd row서울특별시 중구 충무로*가 **-**번지
4th row서울특별시 중구 인현동*가 ***-*번지 조광빌딩 ***호
5th row서울특별시 중구 필동*가 **-*번지 동화빌딩 ***호
ValueCountFrequency (%)
서울특별시 375
20.1%
중구 375
20.1%
번지 265
14.2%
호 93
 
5.0%
86
 
4.6%
충무로*가 78
 
4.2%
필동*가 70
 
3.7%
신당동 55
 
2.9%
층동 27
 
1.4%
층 24
 
1.3%
Other values (198) 419
22.4%
2024-04-30T04:26:23.730100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1809
19.0%
1728
18.1%
서 391
 
4.1%
울 386
 
4.0%
중 385
 
4.0%
시 384
 
4.0%
구 381
 
4.0%
특 375
 
3.9%
별 375
 
3.9%
동 339
 
3.6%
Other values (226) 2980
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5645
59.2%
Other Punctuation 1813
 
19.0%
Space Separator 1728
 
18.1%
Dash Punctuation 278
 
2.9%
Uppercase Letter 30
 
0.3%
Lowercase Letter 17
 
0.2%
Decimal Number 14
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 391
 
6.9%
울 386
 
6.8%
중 385
 
6.8%
시 384
 
6.8%
구 381
 
6.7%
특 375
 
6.6%
별 375
 
6.6%
동 339
 
6.0%
지 288
 
5.1%
번 265
 
4.7%
Other values (187) 2076
36.8%
Uppercase Letter
ValueCountFrequency (%)
R 4
13.3%
N 4
13.3%
B 3
10.0%
D 3
10.0%
C 3
10.0%
L 3
10.0%
T 2
6.7%
A 2
6.7%
F 1
 
3.3%
E 1
 
3.3%
Other values (4) 4
13.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
i 3
17.6%
e 3
17.6%
a 2
11.8%
h 1
 
5.9%
s 1
 
5.9%
c 1
 
5.9%
t 1
 
5.9%
r 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
3 3
21.4%
7 2
14.3%
0 2
14.3%
2 2
14.3%
8 1
 
7.1%
5 1
 
7.1%
4 1
 
7.1%
1 1
 
7.1%
6 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 1809
99.8%
, 2
 
0.1%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1728
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5645
59.2%
Common 3841
40.3%
Latin 47
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 391
 
6.9%
울 386
 
6.8%
중 385
 
6.8%
시 384
 
6.8%
구 381
 
6.7%
특 375
 
6.6%
별 375
 
6.6%
동 339
 
6.0%
지 288
 
5.1%
번 265
 
4.7%
Other values (187) 2076
36.8%
Latin
ValueCountFrequency (%)
n 4
 
8.5%
R 4
 
8.5%
N 4
 
8.5%
B 3
 
6.4%
D 3
 
6.4%
C 3
 
6.4%
L 3
 
6.4%
i 3
 
6.4%
e 3
 
6.4%
T 2
 
4.3%
Other values (13) 15
31.9%
Common
ValueCountFrequency (%)
* 1809
47.1%
1728
45.0%
- 278
 
7.2%
) 4
 
0.1%
( 4
 
0.1%
3 3
 
0.1%
7 2
 
0.1%
0 2
 
0.1%
2 2
 
0.1%
, 2
 
0.1%
Other values (6) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5645
59.2%
ASCII 3888
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1809
46.5%
1728
44.4%
- 278
 
7.2%
n 4
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
R 4
 
0.1%
N 4
 
0.1%
B 3
 
0.1%
D 3
 
0.1%
Other values (29) 47
 
1.2%
Hangul
ValueCountFrequency (%)
서 391
 
6.9%
울 386
 
6.8%
중 385
 
6.8%
시 384
 
6.8%
구 381
 
6.7%
특 375
 
6.6%
별 375
 
6.6%
동 339
 
6.0%
지 288
 
5.1%
번 265
 
4.7%
Other values (187) 2076
36.8%

도로명주소
Text

MISSING 

Distinct307
Distinct (%)88.2%
Missing27
Missing (%)7.2%
Memory size3.1 KiB
2024-04-30T04:26:23.942254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length44
Mean length33.413793
Min length20

Characters and Unicode

Total characters11628
Distinct characters260
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)78.7%

Sample

1st row서울특별시 중구 삼일대로 *** (충무로*가)
2nd row서울특별시 중구 남대문로 ***, *층동 (다동,동아빌딩)
3rd row서울특별시 중구 삼일대로*길 ** (충무로*가)
4th row서울특별시 중구 을지로**길 **, ***호 (인현동*가,조광빌딩)
5th row서울특별시 중구 퇴계로 ***, ***호 (필동*가,동화빌딩)
ValueCountFrequency (%)
350
15.9%
서울특별시 348
15.8%
중구 348
15.8%
호 153
 
7.0%
층 104
 
4.7%
퇴계로 44
 
2.0%
충무로*가 42
 
1.9%
필동*가 37
 
1.7%
신당동 36
 
1.6%
층동 26
 
1.2%
Other values (300) 708
32.2%
2024-04-30T04:26:24.262669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1966
16.9%
* 1962
16.9%
로 429
 
3.7%
, 421
 
3.6%
서 384
 
3.3%
동 380
 
3.3%
중 361
 
3.1%
시 360
 
3.1%
울 360
 
3.1%
구 358
 
3.1%
Other values (250) 4647
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6404
55.1%
Other Punctuation 2385
 
20.5%
Space Separator 1966
 
16.9%
Close Punctuation 354
 
3.0%
Open Punctuation 354
 
3.0%
Dash Punctuation 63
 
0.5%
Uppercase Letter 44
 
0.4%
Decimal Number 30
 
0.3%
Lowercase Letter 27
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 429
 
6.7%
서 384
 
6.0%
동 380
 
5.9%
중 361
 
5.6%
시 360
 
5.6%
울 360
 
5.6%
구 358
 
5.6%
특 348
 
5.4%
별 348
 
5.4%
가 230
 
3.6%
Other values (203) 2846
44.4%
Uppercase Letter
ValueCountFrequency (%)
L 6
13.6%
R 5
11.4%
A 4
9.1%
B 4
9.1%
N 4
9.1%
C 3
6.8%
D 3
6.8%
T 3
6.8%
E 3
6.8%
I 2
 
4.5%
Other values (7) 7
15.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.8%
n 4
14.8%
i 4
14.8%
c 3
11.1%
m 2
7.4%
a 2
7.4%
t 2
7.4%
y 1
 
3.7%
r 1
 
3.7%
h 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
1 7
23.3%
0 6
20.0%
2 5
16.7%
4 3
10.0%
9 3
10.0%
8 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 1962
82.3%
, 421
 
17.7%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1966
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6404
55.1%
Common 5153
44.3%
Latin 71
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 429
 
6.7%
서 384
 
6.0%
동 380
 
5.9%
중 361
 
5.6%
시 360
 
5.6%
울 360
 
5.6%
구 358
 
5.6%
특 348
 
5.4%
별 348
 
5.4%
가 230
 
3.6%
Other values (203) 2846
44.4%
Latin
ValueCountFrequency (%)
L 6
 
8.5%
R 5
 
7.0%
A 4
 
5.6%
B 4
 
5.6%
N 4
 
5.6%
e 4
 
5.6%
n 4
 
5.6%
i 4
 
5.6%
C 3
 
4.2%
D 3
 
4.2%
Other values (20) 30
42.3%
Common
ValueCountFrequency (%)
1966
38.2%
* 1962
38.1%
, 421
 
8.2%
) 354
 
6.9%
( 354
 
6.9%
- 63
 
1.2%
1 7
 
0.1%
0 6
 
0.1%
2 5
 
0.1%
4 3
 
0.1%
Other values (7) 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6404
55.1%
ASCII 5224
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1966
37.6%
* 1962
37.6%
, 421
 
8.1%
) 354
 
6.8%
( 354
 
6.8%
- 63
 
1.2%
1 7
 
0.1%
L 6
 
0.1%
0 6
 
0.1%
R 5
 
0.1%
Other values (37) 80
 
1.5%
Hangul
ValueCountFrequency (%)
로 429
 
6.7%
서 384
 
6.0%
동 380
 
5.9%
중 361
 
5.6%
시 360
 
5.6%
울 360
 
5.6%
구 358
 
5.6%
특 348
 
5.4%
별 348
 
5.4%
가 230
 
3.6%
Other values (203) 2846
44.4%

도로명우편번호
Text

MISSING 

Distinct86
Distinct (%)47.8%
Missing195
Missing (%)52.0%
Memory size3.1 KiB
2024-04-30T04:26:24.481045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3166667
Min length5

Characters and Unicode

Total characters957
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

Unique46 ?
Unique (%)25.6%

Sample

1st row100861
2nd row100-272
3rd row04554
4th row04542
5th row100042
ValueCountFrequency (%)
04521 8
 
4.4%
04542 7
 
3.9%
04554 6
 
3.3%
100272 6
 
3.3%
04522 6
 
3.3%
04627 5
 
2.8%
04626 5
 
2.8%
04559 5
 
2.8%
100012 5
 
2.8%
100371 4
 
2.2%
Other values (76) 123
68.3%
2024-04-30T04:26:24.841958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 306
32.0%
4 159
16.6%
5 122
 
12.7%
1 103
 
10.8%
2 88
 
9.2%
6 59
 
6.2%
3 41
 
4.3%
7 36
 
3.8%
9 26
 
2.7%
8 15
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 955
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 306
32.0%
4 159
16.6%
5 122
 
12.8%
1 103
 
10.8%
2 88
 
9.2%
6 59
 
6.2%
3 41
 
4.3%
7 36
 
3.8%
9 26
 
2.7%
8 15
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 306
32.0%
4 159
16.6%
5 122
 
12.7%
1 103
 
10.8%
2 88
 
9.2%
6 59
 
6.2%
3 41
 
4.3%
7 36
 
3.8%
9 26
 
2.7%
8 15
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 306
32.0%
4 159
16.6%
5 122
 
12.7%
1 103
 
10.8%
2 88
 
9.2%
6 59
 
6.2%
3 41
 
4.3%
7 36
 
3.8%
9 26
 
2.7%
8 15
 
1.6%

사업장명
Text

Distinct371
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-30T04:26:25.052742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.5573333
Min length2

Characters and Unicode

Total characters3209
Distinct characters392
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

Unique367 ?
Unique (%)97.9%

Sample

1st row(주)합동영화
2nd row(주)화천공사
3rd row(주)대동흥업
4th row인창영화(주)
5th row유영필림(주)
ValueCountFrequency (%)
주식회사 44
 
9.5%
영화사 4
 
0.9%
film 4
 
0.9%
픽쳐스 4
 
0.9%
사단법인 3
 
0.6%
entertainment 3
 
0.6%
커넥트픽쳐스(주 2
 
0.4%
스튜디오 2
 
0.4%
주 2
 
0.4%
주)영화사 2
 
0.4%
Other values (391) 395
84.9%
2024-04-30T04:26:25.385145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 230
 
7.2%
) 195
 
6.1%
( 194
 
6.0%
스 112
 
3.5%
사 94
 
2.9%
90
 
2.8%
이 87
 
2.7%
필 57
 
1.8%
영 55
 
1.7%
트 55
 
1.7%
Other values (382) 2040
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2541
79.2%
Close Punctuation 195
 
6.1%
Open Punctuation 194
 
6.0%
Lowercase Letter 104
 
3.2%
Space Separator 90
 
2.8%
Uppercase Letter 55
 
1.7%
Other Symbol 18
 
0.6%
Decimal Number 8
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 230
 
9.1%
스 112
 
4.4%
사 94
 
3.7%
이 87
 
3.4%
필 57
 
2.2%
영 55
 
2.2%
트 55
 
2.2%
회 53
 
2.1%
화 50
 
2.0%
식 49
 
1.9%
Other values (334) 1699
66.9%
Uppercase Letter
ValueCountFrequency (%)
E 7
12.7%
S 6
10.9%
F 4
 
7.3%
M 4
 
7.3%
I 4
 
7.3%
H 4
 
7.3%
L 4
 
7.3%
D 3
 
5.5%
N 3
 
5.5%
P 3
 
5.5%
Other values (9) 13
23.6%
Lowercase Letter
ValueCountFrequency (%)
t 14
13.5%
n 13
12.5%
e 13
12.5%
i 12
11.5%
m 9
8.7%
a 7
6.7%
r 7
6.7%
d 5
 
4.8%
o 5
 
4.8%
u 4
 
3.8%
Other values (6) 15
14.4%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
3 1
12.5%
7 1
12.5%
8 1
12.5%
1 1
12.5%
6 1
12.5%
5 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2559
79.7%
Common 491
 
15.3%
Latin 159
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 230
 
9.0%
스 112
 
4.4%
사 94
 
3.7%
이 87
 
3.4%
필 57
 
2.2%
영 55
 
2.1%
트 55
 
2.1%
회 53
 
2.1%
화 50
 
2.0%
식 49
 
1.9%
Other values (335) 1717
67.1%
Latin
ValueCountFrequency (%)
t 14
 
8.8%
n 13
 
8.2%
e 13
 
8.2%
i 12
 
7.5%
m 9
 
5.7%
a 7
 
4.4%
E 7
 
4.4%
r 7
 
4.4%
S 6
 
3.8%
d 5
 
3.1%
Other values (25) 66
41.5%
Common
ValueCountFrequency (%)
) 195
39.7%
( 194
39.5%
90
18.3%
. 3
 
0.6%
2 2
 
0.4%
3 1
 
0.2%
7 1
 
0.2%
8 1
 
0.2%
1 1
 
0.2%
, 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2541
79.2%
ASCII 650
 
20.3%
None 18
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 230
 
9.1%
스 112
 
4.4%
사 94
 
3.7%
이 87
 
3.4%
필 57
 
2.2%
영 55
 
2.2%
트 55
 
2.2%
회 53
 
2.1%
화 50
 
2.0%
식 49
 
1.9%
Other values (334) 1699
66.9%
ASCII
ValueCountFrequency (%)
) 195
30.0%
( 194
29.8%
90
13.8%
t 14
 
2.2%
n 13
 
2.0%
e 13
 
2.0%
i 12
 
1.8%
m 9
 
1.4%
a 7
 
1.1%
E 7
 
1.1%
Other values (37) 96
14.8%
None
ValueCountFrequency (%)
㈜ 18
100.0%

최종수정일자
Date

Distinct353
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2010-04-30 09:26:53
Maximum2024-04-08 16:07:55
2024-04-30T04:26:25.511585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:25.625922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
321 
U
54 

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 321
85.6%
U 54
 
14.4%

Length

2024-04-30T04:26:25.722149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:25.992118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 321
85.6%
u 54
 
14.4%

데이터갱신일자
Date

Distinct97
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T04:26:26.094524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:26.214993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)64.2%
Missing12
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean199250.18
Minimum196561.93
Maximum202158.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-30T04:26:26.328592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196561.93
5-th percentile197235.11
Q1198788.54
median199245.02
Q3199699.45
95-th percentile200993.03
Maximum202158.43
Range5596.4933
Interquartile range (IQR)910.91524

Descriptive statistics

Standard deviation1042.0149
Coefficient of variation (CV)0.0052296811
Kurtosis0.12352731
Mean199250.18
Median Absolute Deviation (MAD)456.48146
Skewness-0.054947685
Sum72327816
Variance1085795
MonotonicityNot monotonic
2024-04-30T04:26:26.440661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198916.653480187 9
 
2.4%
198788.539144019 8
 
2.1%
198306.905839189 8
 
2.1%
199101.132483391 7
 
1.9%
199470.570383265 7
 
1.9%
199297.876590178 5
 
1.3%
199279.677406441 5
 
1.3%
199829.423596734 5
 
1.3%
199378.798616193 4
 
1.1%
199822.10979662 4
 
1.1%
Other values (223) 301
80.3%
(Missing) 12
 
3.2%
ValueCountFrequency (%)
196561.934965227 2
0.5%
196808.867024038 1
 
0.3%
197032.923485936 1
 
0.3%
197034.02843741 2
0.5%
197091.389988673 3
0.8%
197098.402787244 4
1.1%
197145.814732973 1
 
0.3%
197185.873726348 2
0.5%
197214.205778633 1
 
0.3%
197227.696686492 1
 
0.3%
ValueCountFrequency (%)
202158.428270475 1
 
0.3%
201833.693283735 1
 
0.3%
201720.176169153 1
 
0.3%
201690.110587009 1
 
0.3%
201536.479368989 1
 
0.3%
201398.73515439 1
 
0.3%
201334.590197278 3
0.8%
201230.167293495 1
 
0.3%
201202.996128307 1
 
0.3%
201086.643957694 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)64.2%
Missing12
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean450983.92
Minimum449562.22
Maximum451858.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-30T04:26:26.558312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449562.22
5-th percentile450114.43
Q1450722.26
median451025.52
Q3451226.73
95-th percentile451723.4
Maximum451858.65
Range2296.4356
Interquartile range (IQR)504.47255

Descriptive statistics

Standard deviation477.35585
Coefficient of variation (CV)0.0010584764
Kurtosis0.29783942
Mean450983.92
Median Absolute Deviation (MAD)242.22817
Skewness-0.47161533
Sum1.6370716 × 108
Variance227868.6
MonotonicityNot monotonic
2024-04-30T04:26:26.678769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451694.842893728 9
 
2.4%
450788.372794142 8
 
2.1%
451808.098341971 8
 
2.1%
451111.22018454 7
 
1.9%
450545.278468353 7
 
1.9%
451025.516575091 5
 
1.3%
451120.517700578 5
 
1.3%
451140.199847659 5
 
1.3%
450888.785362222 4
 
1.1%
451182.266913412 4
 
1.1%
Other values (223) 301
80.3%
(Missing) 12
 
3.2%
ValueCountFrequency (%)
449562.218888591 1
 
0.3%
449638.824308081 2
0.5%
449703.239755874 1
 
0.3%
449712.364033668 1
 
0.3%
449759.71549401 1
 
0.3%
449768.481020616 1
 
0.3%
449801.015702833 1
 
0.3%
449803.879569291 1
 
0.3%
449825.425393315 3
0.8%
449890.189831017 1
 
0.3%
ValueCountFrequency (%)
451858.654460788 1
 
0.3%
451852.142613352 1
 
0.3%
451817.515366883 1
 
0.3%
451808.098341971 8
2.1%
451793.816975812 2
 
0.5%
451775.169253151 1
 
0.3%
451765.426505347 2
 
0.5%
451763.953458172 1
 
0.3%
451725.851518121 1
 
0.3%
451723.521112835 1
 
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영화제작업
316 
<NA>
59 

Length

Max length5
Median length5
Mean length4.8426667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:26.841968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:26.938751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 316
84.3%
na 59
 
15.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

총층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.027661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:27.124874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.236414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:27.328067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

지상층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.419751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:27.509050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

지하층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.609639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:27.696547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

통로너비
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.797086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:27.892279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

조명시설조도
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:27.984155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:28.073284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

노래방실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:28.158686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:28.251172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

청소년실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:28.356445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:28.442050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
316 
<NA>
59 

Length

Max length4
Median length1
Mean length1.472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
84.3%
<NA> 59
 
15.7%

Length

2024-04-30T04:26:28.561738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:28.656813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
84.3%
na 59
 
15.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)91.8%
Missing59
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20070232
Minimum19730331
Maximum20211105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-30T04:26:28.749456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730331
5-th percentile19958190
Q120010429
median20080224
Q320130438
95-th percentile20190844
Maximum20211105
Range480774
Interquartile range (IQR)120009.25

Descriptive statistics

Standard deviation78843.242
Coefficient of variation (CV)0.0039283673
Kurtosis1.1492403
Mean20070232
Median Absolute Deviation (MAD)60479.5
Skewness-0.49702893
Sum6.3421932 × 109
Variance6.2162568 × 109
MonotonicityNot monotonic
2024-04-30T04:26:28.872100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090128 3
 
0.8%
20080328 2
 
0.5%
19990528 2
 
0.5%
19990720 2
 
0.5%
20000229 2
 
0.5%
20000424 2
 
0.5%
20000520 2
 
0.5%
20030731 2
 
0.5%
20031202 2
 
0.5%
20071207 2
 
0.5%
Other values (280) 295
78.7%
(Missing) 59
 
15.7%
ValueCountFrequency (%)
19730331 2
0.5%
19851021 1
0.3%
19860614 1
0.3%
19870703 1
0.3%
19890425 1
0.3%
19921013 1
0.3%
19930412 1
0.3%
19931215 1
0.3%
19940122 1
0.3%
19940329 1
0.3%
ValueCountFrequency (%)
20211105 1
0.3%
20211015 1
0.3%
20210726 1
0.3%
20210624 1
0.3%
20210521 1
0.3%
20210426 1
0.3%
20210323 1
0.3%
20210208 1
0.3%
20201211 1
0.3%
20201116 1
0.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing375
Missing (%)100.0%
Memory size3.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF521101197300000119730331<NA>3폐업3폐업20120221<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-**번지서울특별시 중구 삼일대로 *** (충무로*가)100861(주)합동영화2012-02-22 11:06:35I2018-08-31 23:59:59.0<NA>198990.202955451044.895347영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19730331<NA>
13010000CDFF521101197300000219730331<NA>1영업/정상13영업중<NA><NA><NA><NA>753-0391<NA><NA>서울특별시 중구 다동 **번지 동아빌딩 *층동서울특별시 중구 남대문로 ***, *층동 (다동,동아빌딩)<NA>(주)화천공사2011-05-31 10:43:42I2018-08-31 23:59:59.0<NA>198367.639005451720.217971영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19730331<NA>
23010000CDFF521101198500000119851021<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-**번지서울특별시 중구 삼일대로*길 ** (충무로*가)<NA>(주)대동흥업2011-05-31 10:43:51I2018-08-31 23:59:59.0<NA>199034.527732451069.258543영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19851021<NA>
33010000CDFF521101198600000119860614<NA>1영업/정상13영업중<NA><NA><NA><NA>2265-1108<NA><NA>서울특별시 중구 인현동*가 ***-*번지 조광빌딩 ***호서울특별시 중구 을지로**길 **, ***호 (인현동*가,조광빌딩)<NA>인창영화(주)2011-05-31 10:43:59I2018-08-31 23:59:59.0<NA>199353.409063451394.349814영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19860614<NA>
43010000CDFF521101198700000119870703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100271서울특별시 중구 필동*가 **-*번지 동화빌딩 ***호서울특별시 중구 퇴계로 ***, ***호 (필동*가,동화빌딩)<NA>유영필림(주)2011-05-31 10:42:49I2018-08-31 23:59:59.0<NA>199297.87659451025.516575영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19870703<NA>
53010000CDFF521101198900000119890425<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **번지 진산타워빌딩 ***호서울특별시 중구 충무로 **, ***호 (충무로*가,진산타워빌딩)<NA>(주)신도필림2011-05-31 10:44:12I2018-08-31 23:59:59.0<NA>199279.677406451120.517701영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19890425<NA>
63010000CDFF521101199200000119921013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100272서울특별시 중구 필동*가 **번지 충무빌딩 ***호<NA><NA>(주)영상시대2011-05-31 10:54:20I2018-08-31 23:59:59.0<NA>199393.748062451020.317219영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19921013<NA>
73010000CDFF521101199300000119930412<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100012서울특별시 중구 충무로*가 **-**번지 조양빌딩 ***호서울특별시 중구 삼일대로 ***, ***호 (충무로*가,조양빌딩)<NA>대성영화(주)2011-05-31 10:57:38I2018-08-31 23:59:59.0<NA>198983.732936451092.140285영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19930412<NA>
83010000CDFF521101199300000219931215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100032서울특별시 중구 저동*가 **-**번지서울특별시 중구 수표로 **-** (저동*가)<NA>근향영화(주)2011-05-31 11:00:50I2018-08-31 23:59:59.0<NA>199144.232344451225.76761영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19931215<NA>
93010000CDFF521101199400000119940408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100271서울특별시 중구 필동*가 *-*번지 서울빌딩 ***호서울특별시 중구 수표로*길 **, ***호 (필동*가,서울빌딩)<NA>(주)영서필름2011-05-31 10:56:00I2018-08-31 23:59:59.0<NA>199215.980905451084.356972영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19940408<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3653010000CDFF52110120240000012022-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로*가 *** 그랜드센트럴(GRAND CENTRAL)서울특별시 중구 세종대로 **, 그랜드센트럴(GRAND CENTRAL) ***호 (남대문로*가)04527주식회사 프로젝트퀘스천2024-01-11 10:28:23I2023-11-30 23:03:00.0<NA>197666.569166450622.931217<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>
3663010000CDFF52110120240000022024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 **-*서울특별시 중구 을지로**길 *, ***호 (을지로*가)04561애그식렌 (EGSHIGLEN)2024-01-11 09:50:36I2023-11-30 23:03:00.0<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>
3673010000CDFF52110120240000032024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 ****호 (다동)04521커넥트픽쳐스(주)2024-01-23 11:03:55I2023-11-30 22:05:00.0<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>
3683010000CDFF52110120240000042020-05-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 주교동 ***-* 오성빌딩서울특별시 중구 을지로**길 **-*, 오성빌딩 ***호 (주교동)04546영화사 잠2024-02-06 15:02:46I2023-12-02 00:08:00.0<NA>199901.339883451694.139391<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>
3693010000CDFF52110120240000052024-02-13<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)04626보리수나무영화사2024-02-13 15:51:02I2023-12-01 23:05:00.0<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>
3703010000CDFF52110120240000062024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 *** 상지빌딩서울특별시 중구 을지로 ***-**, 상지빌딩 *층 ***호 (을지로*가)04550망각필름2024-02-19 13:32:55I2023-12-01 22:01:00.0<NA>199115.162516451501.106829<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>
3713010000CDFF52110120240000072013-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 ****호 (다동)04521주식회사 영화사달리기2024-02-27 09:32:48I2023-12-01 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>
3723010000CDFF52110120240000082023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 정동 *-* *층서울특별시 중구 세종대로**길 **, *층 (정동)04519주식회사 올랄라스토리2024-03-29 13:30:50I2023-12-02 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>
3733010000CDFF52110120240000092024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 초동 **-* 초롱빌딩서울특별시 중구 충무로 **-**, 초롱빌딩 *층 ***호 (초동)04555에이리스터 스튜디오2024-04-02 13:04:33I2023-12-04 00:04:00.0<NA>199253.913999451227.693913<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>
3743010000CDFF52110120240000102024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 **** 비*층 B***-호서울특별시 중구 난계로**길 **, 비*층 B***-가**호 (황학동)04574승필름2024-04-08 16:07:55I2023-12-03 23:00:00.0<NA>201690.110587451858.654461<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>