Overview

Dataset statistics

Number of variables56
Number of observations165
Missing cells4632
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.2 KiB
Average record size in memory491.8 B

Variable types

Categorical17
Text5
DateTime4
Unsupported25
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17750/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (94.7%)Imbalance
영업상태코드 is highly imbalanced (59.8%)Imbalance
영업상태명 is highly imbalanced (59.8%)Imbalance
상세영업상태코드 is highly imbalanced (59.8%)Imbalance
상세영업상태명 is highly imbalanced (59.8%)Imbalance
데이터갱신구분 is highly imbalanced (50.5%)Imbalance
총층수 is highly imbalanced (90.5%)Imbalance
시설면적 is highly imbalanced (90.5%)Imbalance
지상층수 is highly imbalanced (90.5%)Imbalance
지하층수 is highly imbalanced (90.5%)Imbalance
통로너비 is highly imbalanced (90.5%)Imbalance
조명시설조도 is highly imbalanced (90.5%)Imbalance
노래방실수 is highly imbalanced (90.5%)Imbalance
청소년실수 is highly imbalanced (90.5%)Imbalance
총게임기수 is highly imbalanced (90.5%)Imbalance
폐업일자 has 140 (84.8%) missing valuesMissing
휴업시작일자 has 165 (100.0%) missing valuesMissing
휴업종료일자 has 165 (100.0%) missing valuesMissing
재개업일자 has 165 (100.0%) missing valuesMissing
전화번호 has 122 (73.9%) missing valuesMissing
소재지면적 has 165 (100.0%) missing valuesMissing
소재지우편번호 has 127 (77.0%) missing valuesMissing
도로명우편번호 has 48 (29.1%) missing valuesMissing
업태구분명 has 165 (100.0%) missing valuesMissing
좌표정보(X) has 9 (5.5%) missing valuesMissing
좌표정보(Y) has 9 (5.5%) missing valuesMissing
문화사업자구분명 has 165 (100.0%) missing valuesMissing
주변환경명 has 165 (100.0%) missing valuesMissing
제작취급품목내용 has 165 (100.0%) missing valuesMissing
건물용도명 has 165 (100.0%) missing valuesMissing
비상계단여부 has 165 (100.0%) missing valuesMissing
비상구여부 has 165 (100.0%) missing valuesMissing
자동환기여부 has 165 (100.0%) missing valuesMissing
청소년실여부 has 165 (100.0%) missing valuesMissing
특수조명여부 has 165 (100.0%) missing valuesMissing
방음시설여부 has 165 (100.0%) missing valuesMissing
비디오재생기명 has 165 (100.0%) missing valuesMissing
조명시설유무 has 165 (100.0%) missing valuesMissing
음향시설여부 has 165 (100.0%) missing valuesMissing
편의시설여부 has 165 (100.0%) missing valuesMissing
소방시설여부 has 165 (100.0%) missing valuesMissing
기존게임업외업종명 has 165 (100.0%) missing valuesMissing
제공게임물명 has 165 (100.0%) missing valuesMissing
공연장형태구분명 has 165 (100.0%) missing valuesMissing
품목명 has 165 (100.0%) missing valuesMissing
최초등록시점 has 52 (31.5%) missing valuesMissing
지역구분명 has 165 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 started2024-05-11 05:45:23.043527
Analysis finished2024-05-11 05:45:24.154113
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3230000
165 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 165
100.0%

Length

2024-05-11T14:45:24.292234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:24.838726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 165
100.0%

관리번호
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:45:25.142834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3300
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

Unique165 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011999000001
2nd rowCDFF5211011999000002
3rd rowCDFF5211011999000003
4th rowCDFF5211011999000004
5th rowCDFF5211012000000001
ValueCountFrequency (%)
cdff5211011999000001 1
 
0.6%
cdff5211012017000007 1
 
0.6%
cdff5211012019000011 1
 
0.6%
cdff5211012020000001 1
 
0.6%
cdff5211012020000002 1
 
0.6%
cdff5211012020000004 1
 
0.6%
cdff5211012020000005 1
 
0.6%
cdff5211012020000006 1
 
0.6%
cdff5211012021000001 1
 
0.6%
cdff5211012021000002 1
 
0.6%
Other values (155) 155
93.9%
2024-05-11T14:45:25.645420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1185
35.9%
1 646
19.6%
2 433
 
13.1%
F 330
 
10.0%
5 191
 
5.8%
C 165
 
5.0%
D 165
 
5.0%
3 42
 
1.3%
9 37
 
1.1%
4 33
 
1.0%
Other values (3) 73
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2640
80.0%
Uppercase Letter 660
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1185
44.9%
1 646
24.5%
2 433
 
16.4%
5 191
 
7.2%
3 42
 
1.6%
9 37
 
1.4%
4 33
 
1.2%
8 26
 
1.0%
6 25
 
0.9%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
80.0%
Latin 660
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1185
44.9%
1 646
24.5%
2 433
 
16.4%
5 191
 
7.2%
3 42
 
1.6%
9 37
 
1.4%
4 33
 
1.2%
8 26
 
1.0%
6 25
 
0.9%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1185
35.9%
1 646
19.6%
2 433
 
13.1%
F 330
 
10.0%
5 191
 
5.8%
C 165
 
5.0%
D 165
 
5.0%
3 42
 
1.3%
9 37
 
1.1%
4 33
 
1.0%
Other values (3) 73
 
2.2%

인허가일자
Date

Distinct157
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1999-06-07 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T14:45:25.877250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:26.148419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
164 
20221213
 
1

Length

Max length8
Median length4
Mean length4.0242424
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
99.4%
20221213 1
 
0.6%

Length

2024-05-11T14:45:26.408113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:26.609245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
99.4%
20221213 1
 
0.6%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
138 
3
20 
5
 
6
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 138
83.6%
3 20
 
12.1%
5 6
 
3.6%
4 1
 
0.6%

Length

2024-05-11T14:45:26.802875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:26.984007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 138
83.6%
3 20
 
12.1%
5 6
 
3.6%
4 1
 
0.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
138 
폐업
20 
제외/삭제/전출
 
6
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 138
83.6%
폐업 20
 
12.1%
제외/삭제/전출 6
 
3.6%
취소/말소/만료/정지/중지 1
 
0.6%

Length

2024-05-11T14:45:27.194080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:27.343484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 138
83.6%
폐업 20
 
12.1%
제외/삭제/전출 6
 
3.6%
취소/말소/만료/정지/중지 1
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
138 
3
20 
15
 
6
30
 
1

Length

Max length2
Median length2
Mean length1.8787879
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 138
83.6%
3 20
 
12.1%
15 6
 
3.6%
30 1
 
0.6%

Length

2024-05-11T14:45:27.494908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:27.630105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 138
83.6%
3 20
 
12.1%
15 6
 
3.6%
30 1
 
0.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
138 
폐업
20 
전출
 
6
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8484848
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 138
83.6%
폐업 20
 
12.1%
전출 6
 
3.6%
허가취소 1
 
0.6%

Length

2024-05-11T14:45:27.788200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:27.934890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 138
83.6%
폐업 20
 
12.1%
전출 6
 
3.6%
허가취소 1
 
0.6%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing140
Missing (%)84.8%
Memory size1.4 KiB
Minimum2009-06-15 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T14:45:28.042496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:28.168402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct40
Distinct (%)93.0%
Missing122
Missing (%)73.9%
Memory size1.4 KiB
2024-05-11T14:45:28.376806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8837209
Min length7

Characters and Unicode

Total characters425
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

Unique38 ?
Unique (%)88.4%

Sample

1st row2240-7000
2nd row2202-8231
3rd row34312686
4th row22035660
5th row4235123
ValueCountFrequency (%)
02-498-9297 3
 
7.0%
02-402-9040 2
 
4.7%
2240-7000 1
 
2.3%
024283293 1
 
2.3%
02-3445-1750 1
 
2.3%
02-3470-3400 1
 
2.3%
02-515-9234 1
 
2.3%
025419912 1
 
2.3%
024190572 1
 
2.3%
025159234 1
 
2.3%
Other values (30) 30
69.8%
2024-05-11T14:45:28.746673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 79
18.6%
0 72
16.9%
- 49
11.5%
4 45
10.6%
5 34
8.0%
9 31
 
7.3%
3 30
 
7.1%
1 28
 
6.6%
8 23
 
5.4%
7 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
88.5%
Dash Punctuation 49
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 79
21.0%
0 72
19.1%
4 45
12.0%
5 34
9.0%
9 31
 
8.2%
3 30
 
8.0%
1 28
 
7.4%
8 23
 
6.1%
7 19
 
5.1%
6 15
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 79
18.6%
0 72
16.9%
- 49
11.5%
4 45
10.6%
5 34
8.0%
9 31
 
7.3%
3 30
 
7.1%
1 28
 
6.6%
8 23
 
5.4%
7 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 79
18.6%
0 72
16.9%
- 49
11.5%
4 45
10.6%
5 34
8.0%
9 31
 
7.3%
3 30
 
7.1%
1 28
 
6.6%
8 23
 
5.4%
7 19
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)26.3%
Missing127
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean138156.05
Minimum138041
Maximum138837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:45:28.859952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138041
5-th percentile138051
Q1138051
median138166
Q3138190
95-th percentile138222
Maximum138837
Range796
Interquartile range (IQR)139

Descriptive statistics

Standard deviation130.90742
Coefficient of variation (CV)0.00094753304
Kurtosis20.190756
Mean138156.05
Median Absolute Deviation (MAD)36
Skewness3.8563737
Sum5249930
Variance17136.754
MonotonicityNot monotonic
2024-05-11T14:45:28.966664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
138051 11
 
6.7%
138171 5
 
3.0%
138222 5
 
3.0%
138130 4
 
2.4%
138180 3
 
1.8%
138201 3
 
1.8%
138161 3
 
1.8%
138190 2
 
1.2%
138041 1
 
0.6%
138837 1
 
0.6%
(Missing) 127
77.0%
ValueCountFrequency (%)
138041 1
 
0.6%
138051 11
6.7%
138130 4
 
2.4%
138161 3
 
1.8%
138171 5
3.0%
138180 3
 
1.8%
138190 2
 
1.2%
138201 3
 
1.8%
138222 5
3.0%
138837 1
 
0.6%
ValueCountFrequency (%)
138837 1
 
0.6%
138222 5
3.0%
138201 3
 
1.8%
138190 2
 
1.2%
138180 3
 
1.8%
138171 5
3.0%
138161 3
 
1.8%
138130 4
 
2.4%
138051 11
6.7%
138041 1
 
0.6%

지번주소
Text

Distinct135
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:45:29.255506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length26.830303
Min length17

Characters and Unicode

Total characters4427
Distinct characters181
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)70.3%

Sample

1st row서울특별시 송파구 방이동 **-*번지 현대토픽스빌딩 *층
2nd row서울특별시 송파구 송파동 **-**번지 세호빌딩 *층
3rd row서울특별시 송파구 방이동 **-*번지 금강빌딩 *층
4th row서울특별시 송파구 삼전동 **-*번지 평화빌딩 ***호
5th row서울특별시 송파구 오금동 **-*번지
ValueCountFrequency (%)
서울특별시 165
19.1%
송파구 165
19.1%
번지 94
10.9%
72
 
8.3%
문정동 41
 
4.8%
호 37
 
4.3%
잠실동 28
 
3.2%
방이동 24
 
2.8%
층 20
 
2.3%
송파동 14
 
1.6%
Other values (108) 203
23.5%
2024-05-11T14:45:29.712546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
784
17.7%
* 748
16.9%
파 215
 
4.9%
송 188
 
4.2%
동 185
 
4.2%
시 172
 
3.9%
서 165
 
3.7%
특 165
 
3.7%
별 165
 
3.7%
구 165
 
3.7%
Other values (171) 1475
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2754
62.2%
Space Separator 784
 
17.7%
Other Punctuation 748
 
16.9%
Dash Punctuation 119
 
2.7%
Decimal Number 13
 
0.3%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 215
 
7.8%
송 188
 
6.8%
동 185
 
6.7%
시 172
 
6.2%
서 165
 
6.0%
특 165
 
6.0%
별 165
 
6.0%
구 165
 
6.0%
울 165
 
6.0%
지 109
 
4.0%
Other values (158) 1060
38.5%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
3 2
 
15.4%
8 2
 
15.4%
0 2
 
15.4%
4 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
S 2
22.2%
V 2
22.2%
K 2
22.2%
D 1
11.1%
Space Separator
ValueCountFrequency (%)
784
100.0%
Other Punctuation
ValueCountFrequency (%)
* 748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2754
62.2%
Common 1664
37.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 215
 
7.8%
송 188
 
6.8%
동 185
 
6.7%
시 172
 
6.2%
서 165
 
6.0%
특 165
 
6.0%
별 165
 
6.0%
구 165
 
6.0%
울 165
 
6.0%
지 109
 
4.0%
Other values (158) 1060
38.5%
Common
ValueCountFrequency (%)
784
47.1%
* 748
45.0%
- 119
 
7.2%
1 6
 
0.4%
3 2
 
0.1%
8 2
 
0.1%
0 2
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
22.2%
S 2
22.2%
V 2
22.2%
K 2
22.2%
D 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2754
62.2%
ASCII 1673
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
784
46.9%
* 748
44.7%
- 119
 
7.1%
1 6
 
0.4%
A 2
 
0.1%
3 2
 
0.1%
S 2
 
0.1%
V 2
 
0.1%
8 2
 
0.1%
0 2
 
0.1%
Other values (3) 4
 
0.2%
Hangul
ValueCountFrequency (%)
파 215
 
7.8%
송 188
 
6.8%
동 185
 
6.7%
시 172
 
6.2%
서 165
 
6.0%
특 165
 
6.0%
별 165
 
6.0%
구 165
 
6.0%
울 165
 
6.0%
지 109
 
4.0%
Other values (158) 1060
38.5%

도로명주소
Text

Distinct151
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:45:30.017705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length37.236364
Min length24

Characters and Unicode

Total characters6144
Distinct characters215
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

Unique141 ?
Unique (%)85.5%

Sample

1st row서울특별시 송파구 위례성대로 * (방이동,현대토픽스빌딩 *층)
2nd row서울특별시 송파구 송파대로 *** (송파동,세호빌딩 *층)
3rd row서울특별시 송파구 오금로**길 ** (방이동,금강빌딩 *층)
4th row서울특별시 송파구 백제고분로 *** (삼전동,평화빌딩 ***호)
5th row서울특별시 송파구 마천로**길 * (오금동)
ValueCountFrequency (%)
167
14.7%
서울특별시 165
14.5%
송파구 165
14.5%
호 85
 
7.5%
층 57
 
5.0%
문정동 40
 
3.5%
잠실동 23
 
2.0%
동 21
 
1.8%
백제고분로**길 19
 
1.7%
올림픽로 16
 
1.4%
Other values (182) 380
33.4%
2024-05-11T14:45:30.623487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1037
16.9%
1017
 
16.6%
파 233
 
3.8%
동 220
 
3.6%
송 209
 
3.4%
, 205
 
3.3%
로 173
 
2.8%
시 172
 
2.8%
서 165
 
2.7%
특 165
 
2.7%
Other values (205) 2548
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3476
56.6%
Other Punctuation 1242
 
20.2%
Space Separator 1017
 
16.6%
Open Punctuation 165
 
2.7%
Close Punctuation 165
 
2.7%
Dash Punctuation 43
 
0.7%
Uppercase Letter 23
 
0.4%
Decimal Number 12
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 233
 
6.7%
동 220
 
6.3%
송 209
 
6.0%
로 173
 
5.0%
시 172
 
4.9%
서 165
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
Other values (183) 1644
47.3%
Uppercase Letter
ValueCountFrequency (%)
B 6
26.1%
A 5
21.7%
C 3
13.0%
K 3
13.0%
S 2
 
8.7%
V 2
 
8.7%
G 1
 
4.3%
D 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
8 2
16.7%
0 2
16.7%
6 1
 
8.3%
5 1
 
8.3%
2 1
 
8.3%
7 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1037
83.5%
, 205
 
16.5%
Space Separator
ValueCountFrequency (%)
1017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3476
56.6%
Common 2644
43.0%
Latin 24
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 233
 
6.7%
동 220
 
6.3%
송 209
 
6.0%
로 173
 
5.0%
시 172
 
4.9%
서 165
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
Other values (183) 1644
47.3%
Common
ValueCountFrequency (%)
* 1037
39.2%
1017
38.5%
, 205
 
7.8%
( 165
 
6.2%
) 165
 
6.2%
- 43
 
1.6%
1 4
 
0.2%
8 2
 
0.1%
0 2
 
0.1%
6 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
B 6
25.0%
A 5
20.8%
C 3
12.5%
K 3
12.5%
S 2
 
8.3%
V 2
 
8.3%
G 1
 
4.2%
c 1
 
4.2%
D 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3476
56.6%
ASCII 2668
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1037
38.9%
1017
38.1%
, 205
 
7.7%
( 165
 
6.2%
) 165
 
6.2%
- 43
 
1.6%
B 6
 
0.2%
A 5
 
0.2%
1 4
 
0.1%
C 3
 
0.1%
Other values (12) 18
 
0.7%
Hangul
ValueCountFrequency (%)
파 233
 
6.7%
동 220
 
6.3%
송 209
 
6.0%
로 173
 
5.0%
시 172
 
4.9%
서 165
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
Other values (183) 1644
47.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)62.4%
Missing48
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean25019.957
Minimum5501
Maximum138962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:45:30.850209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5509.4
Q15575
median5690
Q35854
95-th percentile138861.6
Maximum138962
Range133461
Interquartile range (IQR)279

Descriptive statistics

Standard deviation47109.675
Coefficient of variation (CV)1.8828839
Kurtosis2.1959465
Mean25019.957
Median Absolute Deviation (MAD)146
Skewness2.0392691
Sum2927335
Variance2.2193215 × 109
MonotonicityNot monotonic
2024-05-11T14:45:31.068328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5854 13
 
7.9%
5838 5
 
3.0%
5510 4
 
2.4%
5576 4
 
2.4%
5807 3
 
1.8%
5836 3
 
1.8%
5525 3
 
1.8%
5649 3
 
1.8%
5548 3
 
1.8%
138962 3
 
1.8%
Other values (63) 73
44.2%
(Missing) 48
29.1%
ValueCountFrequency (%)
5501 1
 
0.6%
5502 2
1.2%
5504 1
 
0.6%
5507 2
1.2%
5510 4
2.4%
5525 3
1.8%
5531 1
 
0.6%
5542 1
 
0.6%
5544 1
 
0.6%
5547 1
 
0.6%
ValueCountFrequency (%)
138962 3
1.8%
138911 1
 
0.6%
138864 2
1.2%
138861 1
 
0.6%
138854 1
 
0.6%
138847 1
 
0.6%
138838 1
 
0.6%
138828 1
 
0.6%
138815 1
 
0.6%
138808 1
 
0.6%

사업장명
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:45:31.464727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length8.8121212
Min length3

Characters and Unicode

Total characters1454
Distinct characters274
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

Unique165 ?
Unique (%)100.0%

Sample

1st row(주)인츠닷컴
2nd row링크커뮤니케이션스
3rd row동남씨네마
4th row(주)필림트리엔터테인먼트그룹
5th row디프러덕션(주)
ValueCountFrequency (%)
주식회사 41
 
17.0%
필름 3
 
1.2%
픽쳐스 3
 
1.2%
주 3
 
1.2%
영화사 3
 
1.2%
헉미디어 2
 
0.8%
영화사알앤알 2
 
0.8%
에스지앤지홀딩스 1
 
0.4%
enm 1
 
0.4%
유신커넥트(주 1
 
0.4%
Other values (181) 181
75.1%
2024-05-11T14:45:32.086290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 96
 
6.6%
77
 
5.3%
( 63
 
4.3%
) 63
 
4.3%
사 63
 
4.3%
이 56
 
3.9%
스 54
 
3.7%
회 45
 
3.1%
식 41
 
2.8%
트 23
 
1.6%
Other values (264) 873
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1169
80.4%
Space Separator 77
 
5.3%
Open Punctuation 63
 
4.3%
Close Punctuation 63
 
4.3%
Lowercase Letter 37
 
2.5%
Uppercase Letter 34
 
2.3%
Other Punctuation 5
 
0.3%
Other Symbol 4
 
0.3%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 96
 
8.2%
사 63
 
5.4%
이 56
 
4.8%
스 54
 
4.6%
회 45
 
3.8%
식 41
 
3.5%
트 23
 
2.0%
디 21
 
1.8%
영 20
 
1.7%
화 18
 
1.5%
Other values (218) 732
62.6%
Lowercase Letter
ValueCountFrequency (%)
o 5
13.5%
i 4
10.8%
e 4
10.8%
a 3
 
8.1%
k 2
 
5.4%
n 2
 
5.4%
l 2
 
5.4%
s 2
 
5.4%
y 2
 
5.4%
m 2
 
5.4%
Other values (9) 9
24.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
 
8.8%
K 3
 
8.8%
M 3
 
8.8%
E 3
 
8.8%
W 3
 
8.8%
J 3
 
8.8%
P 2
 
5.9%
S 2
 
5.9%
T 2
 
5.9%
N 2
 
5.9%
Other values (8) 8
23.5%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
80.7%
Common 210
 
14.4%
Latin 71
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 96
 
8.2%
사 63
 
5.4%
이 56
 
4.8%
스 54
 
4.6%
회 45
 
3.8%
식 41
 
3.5%
트 23
 
2.0%
디 21
 
1.8%
영 20
 
1.7%
화 18
 
1.5%
Other values (219) 736
62.7%
Latin
ValueCountFrequency (%)
o 5
 
7.0%
i 4
 
5.6%
e 4
 
5.6%
A 3
 
4.2%
K 3
 
4.2%
M 3
 
4.2%
E 3
 
4.2%
a 3
 
4.2%
W 3
 
4.2%
J 3
 
4.2%
Other values (27) 37
52.1%
Common
ValueCountFrequency (%)
77
36.7%
( 63
30.0%
) 63
30.0%
. 2
 
1.0%
& 2
 
1.0%
6 1
 
0.5%
, 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
80.4%
ASCII 281
 
19.3%
None 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 96
 
8.2%
사 63
 
5.4%
이 56
 
4.8%
스 54
 
4.6%
회 45
 
3.8%
식 41
 
3.5%
트 23
 
2.0%
디 21
 
1.8%
영 20
 
1.7%
화 18
 
1.5%
Other values (218) 732
62.6%
ASCII
ValueCountFrequency (%)
77
27.4%
( 63
22.4%
) 63
22.4%
o 5
 
1.8%
i 4
 
1.4%
e 4
 
1.4%
A 3
 
1.1%
K 3
 
1.1%
M 3
 
1.1%
E 3
 
1.1%
Other values (35) 53
18.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2010-05-03 16:43:41
Maximum2024-04-19 13:50:23
2024-05-11T14:45:32.310602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:32.503878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
130 
U
34 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
I 130
78.8%
U 34
 
20.6%
D 1
 
0.6%

Length

2024-05-11T14:45:32.715709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:32.899220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 130
78.8%
u 34
 
20.6%
d 1
 
0.6%

데이터갱신일자
Date

Distinct81
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T14:45:33.099859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:33.359513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)78.2%
Missing9
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean209646.74
Minimum206707.09
Maximum213188.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:45:33.733667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206707.09
5-th percentile207154.39
Q1208516.52
median209738.54
Q3210868.4
95-th percentile211986.3
Maximum213188.39
Range6481.2981
Interquartile range (IQR)2351.8789

Descriptive statistics

Standard deviation1463.6563
Coefficient of variation (CV)0.0069815363
Kurtosis-0.73584462
Mean209646.74
Median Absolute Deviation (MAD)1154.7217
Skewness-0.10158309
Sum32704892
Variance2142289.9
MonotonicityNot monotonic
2024-05-11T14:45:33.990004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210627.0 6
 
3.6%
210986.460698452 5
 
3.0%
207342.950468252 4
 
2.4%
207750.499013776 4
 
2.4%
211986.297245596 4
 
2.4%
208836.192051204 3
 
1.8%
209879.808160832 3
 
1.8%
208233.926974585 2
 
1.2%
208648.55753105 2
 
1.2%
210868.397496689 2
 
1.2%
Other values (112) 121
73.3%
(Missing) 9
 
5.5%
ValueCountFrequency (%)
206707.093888179 1
0.6%
206803.91893272 1
0.6%
206914.005245094 1
0.6%
207043.444918134 1
0.6%
207048.638189411 1
0.6%
207125.178244289 1
0.6%
207141.250179028 1
0.6%
207145.084174969 1
0.6%
207157.496943353 1
0.6%
207222.404796277 1
0.6%
ValueCountFrequency (%)
213188.391950917 1
 
0.6%
212876.324315024 1
 
0.6%
212428.230908858 1
 
0.6%
212272.94316129 1
 
0.6%
212259.596006301 1
 
0.6%
211986.297245596 4
2.4%
211907.060670896 1
 
0.6%
211887.604205117 1
 
0.6%
211807.582030767 1
 
0.6%
211625.765561015 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)78.2%
Missing9
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean444566.05
Minimum441725.29
Maximum448105.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:45:34.224007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441936.74
Q1443751.7
median444734.01
Q3445475.73
95-th percentile446345.34
Maximum448105.5
Range6380.2067
Interquartile range (IQR)1724.0319

Descriptive statistics

Standard deviation1416.4014
Coefficient of variation (CV)0.0031860315
Kurtosis-0.07224757
Mean444566.05
Median Absolute Deviation (MAD)794.15631
Skewness-0.25557034
Sum69352303
Variance2006193
MonotonicityNot monotonic
2024-05-11T14:45:34.478981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442875.0 6
 
3.6%
441725.293491662 5
 
3.0%
444769.685311816 4
 
2.4%
445762.808120998 4
 
2.4%
446156.529775445 4
 
2.4%
445807.727388799 3
 
1.8%
448105.500206276 3
 
1.8%
445435.257647797 2
 
1.2%
444726.13105741 2
 
1.2%
442053.227933005 2
 
1.2%
Other values (112) 121
73.3%
(Missing) 9
 
5.5%
ValueCountFrequency (%)
441725.293491662 5
3.0%
441730.920486073 1
 
0.6%
441833.16323518 2
 
1.2%
441971.271264751 1
 
0.6%
442053.227933005 2
 
1.2%
442137.578674 1
 
0.6%
442171.661862666 1
 
0.6%
442266.748273275 2
 
1.2%
442338.115571068 1
 
0.6%
442377.0 1
 
0.6%
ValueCountFrequency (%)
448105.500206276 3
1.8%
447824.076165922 1
 
0.6%
447453.625137238 1
 
0.6%
446519.612162961 1
 
0.6%
446483.316079239 2
1.2%
446299.352775446 1
 
0.6%
446201.867636819 1
 
0.6%
446156.529775445 4
2.4%
446085.121305444 2
1.2%
446040.044744713 1
 
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영화제작업
113 
<NA>
52 

Length

Max length5
Median length5
Mean length4.6848485
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 113
68.5%
<NA> 52
31.5%

Length

2024-05-11T14:45:35.035583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:35.198387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 113
68.5%
na 52
31.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:35.405817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:35.565630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:35.734456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:35.926633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:36.098465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:36.300217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:36.491865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:36.643005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:36.821950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:36.982016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:37.145501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:37.309551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:37.512370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:37.676876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:37.859269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:38.025670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
2

Length

Max length4
Median length4
Mean length3.9636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
98.8%
0 2
 
1.2%

Length

2024-05-11T14:45:38.221595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:38.407274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.8%
0 2
 
1.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)95.6%
Missing52
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean20105295
Minimum19990607
Maximum20220126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:45:38.633068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990607
5-th percentile20000407
Q120050402
median20110831
Q320160422
95-th percentile20210109
Maximum20220126
Range229519
Interquartile range (IQR)110020

Descriptive statistics

Standard deviation68221.319
Coefficient of variation (CV)0.0033932016
Kurtosis-1.1171098
Mean20105295
Median Absolute Deviation (MAD)49793
Skewness-0.20259997
Sum2.2718983 × 109
Variance4.6541484 × 109
MonotonicityNot monotonic
2024-05-11T14:45:38.862683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000407 2
 
1.2%
20080313 2
 
1.2%
20090128 2
 
1.2%
20000522 2
 
1.2%
20180517 2
 
1.2%
20210511 1
 
0.6%
20150625 1
 
0.6%
20180227 1
 
0.6%
20111118 1
 
0.6%
20220126 1
 
0.6%
Other values (98) 98
59.4%
(Missing) 52
31.5%
ValueCountFrequency (%)
19990607 1
0.6%
19990719 1
0.6%
19990828 1
0.6%
19991126 1
0.6%
20000318 1
0.6%
20000407 2
1.2%
20000412 1
0.6%
20000522 2
1.2%
20000523 1
0.6%
20000802 1
0.6%
ValueCountFrequency (%)
20220126 1
0.6%
20210511 1
0.6%
20210510 1
0.6%
20210407 1
0.6%
20210205 1
0.6%
20210112 1
0.6%
20210107 1
0.6%
20201230 1
0.6%
20200807 1
0.6%
20200722 1
0.6%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF521101199900000119990607<NA>1영업/정상13영업중<NA><NA><NA><NA>2240-7000<NA>138051서울특별시 송파구 방이동 **-*번지 현대토픽스빌딩 *층서울특별시 송파구 위례성대로 * (방이동,현대토픽스빌딩 *층)<NA>(주)인츠닷컴2010-05-03 16:43:41I2018-08-31 23:59:59.0<NA>209929.574783446085.121305영화제작업<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>19990607<NA>
13230000CDFF521101199900000219990719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138171서울특별시 송파구 송파동 **-**번지 세호빌딩 *층서울특별시 송파구 송파대로 *** (송파동,세호빌딩 *층)<NA>링크커뮤니케이션스2010-05-03 16:47:20I2018-08-31 23:59:59.0<NA>209744.136012444378.559332영화제작업<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>19990719<NA>
23230000CDFF521101199900000319990828<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138051서울특별시 송파구 방이동 **-*번지 금강빌딩 *층서울특별시 송파구 오금로**길 ** (방이동,금강빌딩 *층)<NA>동남씨네마2010-05-03 16:52:31I2018-08-31 23:59:59.0<NA>209987.762529445892.058617영화제작업<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>19990828<NA>
33230000CDFF521101199900000419991126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138180서울특별시 송파구 삼전동 **-*번지 평화빌딩 ***호서울특별시 송파구 백제고분로 *** (삼전동,평화빌딩 ***호)<NA>(주)필림트리엔터테인먼트그룹2010-05-03 16:56:14I2018-08-31 23:59:59.0<NA>208073.302872444528.173374영화제작업<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>19991126<NA>
43230000CDFF521101200000000120000318<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138130서울특별시 송파구 오금동 **-*번지서울특별시 송파구 마천로**길 * (오금동)<NA>디프러덕션(주)2010-05-03 16:59:17I2018-08-31 23:59:59.0<NA>211907.060671444808.587998영화제작업<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>20000318<NA>
53230000CDFF521101200000000220000407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138201서울특별시 송파구 문정동 **-*번지서울특별시 송파구 새말로 *** (문정동)<NA>(주)애이콤프로덕션2010-05-03 17:02:17I2018-08-31 23:59:59.0<NA>211084.862447442266.748273영화제작업<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>20000407<NA>
63230000CDFF521101200000000320000407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138201서울특별시 송파구 문정동 **-*번지서울특별시 송파구 새말로 *** (문정동)<NA>(주)코아필름서울2010-05-03 17:09:10I2018-08-31 23:59:59.0<NA>211084.862447442266.748273영화제작업<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>20000407<NA>
73230000CDFF521101200000000420000412<NA>1영업/정상13영업중<NA><NA><NA><NA>2202-8231<NA>138171서울특별시 송파구 송파동 **-*번지 레이크파크 ***서울특별시 송파구 석촌호수로 *** (송파동,레이크파크 ***)<NA>삼복필림2010-05-03 17:12:24I2018-08-31 23:59:59.0<NA>209276.661384445281.6456영화제작업<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>20000412<NA>
83230000CDFF521101200000000520000522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138051서울특별시 송파구 방이동 ***번지 욱일빌딩 *층서울특별시 송파구 오금로**길 * (방이동,욱일빌딩 *층)<NA>로뎀씨네2010-05-03 17:14:36I2018-08-31 23:59:59.0<NA>209585.872292445535.044713영화제작업<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>20000522<NA>
93230000CDFF521101200000000620000522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138130서울특별시 송파구 오금동 **-*번지서울특별시 송파구 성내천로*길 **-* (오금동)<NA>시네아트2010-05-03 17:18:02I2018-08-31 23:59:59.0<NA>211887.604205444673.752035영화제작업<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>20000522<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1553230000CDFF52110120230000172023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 *-*서울특별시 송파구 백제고분로**길 **, *층 (석촌동)5612주식회사 호기로운컴퍼니2024-03-21 10:18:43U2023-12-02 22:03:00.0<NA>208648.557531444726.131057<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>
1563230000CDFF52110120230000192023-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-* 잠실리시온서울특별시 송파구 오금로 **, 잠실리시온 ***호 (방이동)5542(주)영화특별시에스엠씨2023-12-29 18:15:59I2022-11-01 21:01:00.0<NA>209427.410217445829.725943<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>
1573230000CDFF52110120240000012020-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV*서울특별시 송파구 법원로 ***, 문정역SKV* 비동 ***호 (문정동)5854커버넌트픽처스 주식회사2024-01-04 07:25:51I2023-12-01 00:06:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583230000CDFF52110120240000022011-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-*서울특별시 송파구 백제고분로 ***, *층 (잠실동)5576(주)영화사채움2024-01-29 09:56:35I2023-11-30 21:01:00.0<NA>207342.950468444769.685312<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>
1593230000CDFF52110120240000032024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-*서울특별시 송파구 올림픽로**길 **-**, *층 ***호 (방이동)5548(주)엔티에프프로젝트2024-02-06 08:08:53I2023-12-02 00:08:00.0<NA>209546.941446445766.400466<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>
1603230000CDFF52110120240000042024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-*서울특별시 송파구 오금로 ***, *, *층 (방이동)5548(주) 엔티에프에스피씨2024-02-13 08:52:10I2023-12-01 23:05:00.0<NA>209472.981813445668.407264<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>
1613230000CDFF52110120240000052024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-* 대명빌딩서울특별시 송파구 중대로 ***, 대명빌딩 ***호 K***호 (가락동)5702주식회사 젝터2024-02-27 17:18:23I2023-12-01 22:09:00.0<NA>211108.961742444263.057029<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>
1623230000CDFF52110120240000062024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 **-** 태극빌딩서울특별시 송파구 삼전로*길 **, 태극빌딩 ***호 (삼전동)5594썬(SUN)2024-03-07 17:56:00I2023-12-03 00:09:00.0<NA>207603.592813444283.967161<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>
1633230000CDFF52110120240000072024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 ** 쌍용스윗닷홈 거여역*차서울특별시 송파구 오금로**길 **, ***층 ***호 (거여동, 쌍용스윗닷홈 거여역*차)5773주식회사 스토리지2024-04-03 13:46:47I2023-12-04 00:05:00.0<NA>212876.324315443323.327086<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>
1643230000CDFF52110120240000082024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>050713417920<NA><NA>서울특별시 송파구 방이동 **-* 석정빌딩서울특별시 송파구 오금로**길 *, 석정빌딩 *층 (방이동)5548주식회사 하이퍼스토리2024-04-19 13:50:23I2023-12-03 22:01:00.0<NA>209540.814363445695.465253<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>