Overview

Dataset statistics

Number of variables56
Number of observations79
Missing cells2214
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory488.7 B

Variable types

Categorical17
Text7
DateTime4
Unsupported23
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17803/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 has 79 (100.0%) missing valuesMissing
폐업일자 has 55 (69.6%) missing valuesMissing
휴업시작일자 has 79 (100.0%) missing valuesMissing
휴업종료일자 has 79 (100.0%) missing valuesMissing
재개업일자 has 79 (100.0%) missing valuesMissing
전화번호 has 32 (40.5%) missing valuesMissing
소재지면적 has 79 (100.0%) missing valuesMissing
소재지우편번호 has 55 (69.6%) missing valuesMissing
도로명주소 has 18 (22.8%) missing valuesMissing
도로명우편번호 has 28 (35.4%) missing valuesMissing
업태구분명 has 79 (100.0%) missing valuesMissing
좌표정보(X) has 17 (21.5%) missing valuesMissing
좌표정보(Y) has 17 (21.5%) missing valuesMissing
주변환경명 has 79 (100.0%) missing valuesMissing
시설면적 has 20 (25.3%) missing valuesMissing
건물용도명 has 77 (97.5%) missing valuesMissing
비상계단여부 has 79 (100.0%) missing valuesMissing
비상구여부 has 79 (100.0%) missing valuesMissing
자동환기여부 has 79 (100.0%) missing valuesMissing
청소년실여부 has 79 (100.0%) missing valuesMissing
특수조명여부 has 79 (100.0%) missing valuesMissing
방음시설여부 has 79 (100.0%) missing valuesMissing
비디오재생기명 has 79 (100.0%) missing valuesMissing
조명시설유무 has 79 (100.0%) missing valuesMissing
음향시설여부 has 79 (100.0%) missing valuesMissing
편의시설여부 has 79 (100.0%) missing valuesMissing
소방시설여부 has 79 (100.0%) missing valuesMissing
기존게임업외업종명 has 79 (100.0%) missing valuesMissing
제공게임물명 has 79 (100.0%) missing valuesMissing
공연장형태구분명 has 79 (100.0%) missing valuesMissing
품목명 has 79 (100.0%) missing valuesMissing
최초등록시점 has 79 (100.0%) missing valuesMissing
지역구분명 has 78 (98.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 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
주변환경명 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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 44 (55.7%) zerosZeros

Reproduction

Analysis started2024-05-11 04:39:27.502805
Analysis finished2024-05-11 04:39:28.977749
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
3010000
79 

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 79
100.0%

Length

2024-05-11T04:39:29.311986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:29.680686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 79
100.0%

관리번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T04:39:30.211361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1580
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

Unique79 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061999000001
2nd rowCDFF3241062000000001
3rd rowCDFF3241062000000002
4th rowCDFF3241062000000004
5th rowCDFF3241062000000005
ValueCountFrequency (%)
cdff3241061999000001 1
 
1.3%
cdff3241062021000007 1
 
1.3%
cdff3241062021000003 1
 
1.3%
cdff3241062021000002 1
 
1.3%
cdff3241062021000001 1
 
1.3%
cdff3241062019000002 1
 
1.3%
cdff3241062019000001 1
 
1.3%
cdff3241062018000009 1
 
1.3%
cdff3241062018000007 1
 
1.3%
cdff3241062018000002 1
 
1.3%
Other values (69) 69
87.3%
2024-05-11T04:39:31.432777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 587
37.2%
2 211
 
13.4%
F 158
 
10.0%
1 135
 
8.5%
3 101
 
6.4%
4 98
 
6.2%
6 94
 
5.9%
C 79
 
5.0%
D 79
 
5.0%
5 13
 
0.8%
Other values (3) 25
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1264
80.0%
Uppercase Letter 316
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 587
46.4%
2 211
 
16.7%
1 135
 
10.7%
3 101
 
8.0%
4 98
 
7.8%
6 94
 
7.4%
5 13
 
1.0%
7 13
 
1.0%
9 8
 
0.6%
8 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1264
80.0%
Latin 316
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 587
46.4%
2 211
 
16.7%
1 135
 
10.7%
3 101
 
8.0%
4 98
 
7.8%
6 94
 
7.4%
5 13
 
1.0%
7 13
 
1.0%
9 8
 
0.6%
8 4
 
0.3%
Latin
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 587
37.2%
2 211
 
13.4%
F 158
 
10.0%
1 135
 
8.5%
3 101
 
6.4%
4 98
 
6.2%
6 94
 
5.9%
C 79
 
5.0%
D 79
 
5.0%
5 13
 
0.8%
Other values (3) 25
 
1.6%

인허가일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum1991-07-11 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T04:39:31.946974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:32.538607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
1
55 
3
23 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
69.6%
3 23
29.1%
5 1
 
1.3%

Length

2024-05-11T04:39:33.131756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:33.627542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
69.6%
3 23
29.1%
5 1
 
1.3%

영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업/정상
55 
폐업
23 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.164557
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 55
69.6%
폐업 23
29.1%
제외/삭제/전출 1
 
1.3%

Length

2024-05-11T04:39:34.536314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:34.914051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 55
69.6%
폐업 23
29.1%
제외/삭제/전출 1
 
1.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
13
55 
3
23 
15
 
1

Length

Max length2
Median length2
Mean length1.7088608
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 55
69.6%
3 23
29.1%
15 1
 
1.3%

Length

2024-05-11T04:39:35.338078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:35.674507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 55
69.6%
3 23
29.1%
15 1
 
1.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업중
55 
폐업
23 
전출
 
1

Length

Max length3
Median length3
Mean length2.6962025
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 55
69.6%
폐업 23
29.1%
전출 1
 
1.3%

Length

2024-05-11T04:39:36.091149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:36.435683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 55
69.6%
폐업 23
29.1%
전출 1
 
1.3%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing55
Missing (%)69.6%
Memory size764.0 B
Minimum2007-01-22 00:00:00
Maximum2023-12-26 00:00:00
2024-05-11T04:39:36.894731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:37.477275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

전화번호
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing32
Missing (%)40.5%
Memory size764.0 B
2024-05-11T04:39:38.034522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.787234
Min length8

Characters and Unicode

Total characters460
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

Unique43 ?
Unique (%)91.5%

Sample

1st row2234-2262
2nd row2263-2761
3rd row2266-8008
4th row2237-2202
5th row2263-6783
ValueCountFrequency (%)
2260-2800 2
 
4.3%
771-1733 2
 
4.3%
07041375071 1
 
2.1%
070-7570-3760 1
 
2.1%
02-6092-0799 1
 
2.1%
02-2234-3364 1
 
2.1%
02-2236-0435 1
 
2.1%
2266-4164 1
 
2.1%
2252-2092 1
 
2.1%
070-7593-2231 1
 
2.1%
Other values (35) 35
74.5%
2024-05-11T04:39:39.097567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 99
21.5%
0 62
13.5%
- 58
12.6%
7 48
10.4%
3 43
9.3%
6 35
 
7.6%
1 29
 
6.3%
4 24
 
5.2%
8 22
 
4.8%
9 20
 
4.3%
Other values (2) 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
87.2%
Dash Punctuation 58
 
12.6%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 99
24.7%
0 62
15.5%
7 48
12.0%
3 43
10.7%
6 35
 
8.7%
1 29
 
7.2%
4 24
 
6.0%
8 22
 
5.5%
9 20
 
5.0%
5 19
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 99
21.5%
0 62
13.5%
- 58
12.6%
7 48
10.4%
3 43
9.3%
6 35
 
7.6%
1 29
 
6.3%
4 24
 
5.2%
8 22
 
4.8%
9 20
 
4.3%
Other values (2) 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 99
21.5%
0 62
13.5%
- 58
12.6%
7 48
10.4%
3 43
9.3%
6 35
 
7.6%
1 29
 
6.3%
4 24
 
5.2%
8 22
 
4.8%
9 20
 
4.3%
Other values (2) 20
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)70.8%
Missing55
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean100392.96
Minimum100012
Maximum100861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T04:39:39.483575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100012
5-th percentile100224.5
Q1100272.75
median100360
Q3100435
95-th percentile100844.7
Maximum100861
Range849
Interquartile range (IQR)162.25

Descriptive statistics

Standard deviation199.60254
Coefficient of variation (CV)0.0019882125
Kurtosis1.8936009
Mean100392.96
Median Absolute Deviation (MAD)87.5
Skewness1.216872
Sum2409431
Variance39841.172
MonotonicityNot monotonic
2024-05-11T04:39:40.023495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
100450 3
 
3.8%
100340 3
 
3.8%
100250 2
 
2.5%
100272 2
 
2.5%
100273 2
 
2.5%
100826 1
 
1.3%
100848 1
 
1.3%
100012 1
 
1.3%
100861 1
 
1.3%
100430 1
 
1.3%
Other values (7) 7
 
8.9%
(Missing) 55
69.6%
ValueCountFrequency (%)
100012 1
 
1.3%
100220 1
 
1.3%
100250 2
2.5%
100272 2
2.5%
100273 2
2.5%
100300 1
 
1.3%
100340 3
3.8%
100380 1
 
1.3%
100391 1
 
1.3%
100392 1
 
1.3%
ValueCountFrequency (%)
100861 1
 
1.3%
100848 1
 
1.3%
100826 1
 
1.3%
100450 3
3.8%
100430 1
 
1.3%
100411 1
 
1.3%
100400 1
 
1.3%
100392 1
 
1.3%
100391 1
 
1.3%
100380 1
 
1.3%

지번주소
Text

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T04:39:40.656675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length25.088608
Min length18

Characters and Unicode

Total characters1982
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)79.7%

Sample

1st row서울특별시 중구 인현동*가 ***-*번지
2nd row서울특별시 중구 쌍림동 ***-*번지 한림빌딩 **층
3rd row서울특별시 중구 필동*가 **-*
4th row서울특별시 중구 흥인동 *** 희성빌딩 ***호
5th row서울특별시 중구 장충동*가 **/*
ValueCountFrequency (%)
서울특별시 79
19.7%
중구 79
19.7%
45
11.2%
번지 36
 
9.0%
신당동 27
 
6.7%
호 17
 
4.2%
층 12
 
3.0%
필동*가 7
 
1.7%
충무로*가 4
 
1.0%
다동 4
 
1.0%
Other values (65) 91
22.7%
2024-05-11T04:39:42.252278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 410
20.7%
376
19.0%
서 83
 
4.2%
울 83
 
4.2%
중 82
 
4.1%
특 79
 
4.0%
별 79
 
4.0%
시 79
 
4.0%
구 79
 
4.0%
동 76
 
3.8%
Other values (121) 556
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
56.8%
Other Punctuation 414
 
20.9%
Space Separator 376
 
19.0%
Dash Punctuation 60
 
3.0%
Decimal Number 4
 
0.2%
Uppercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 83
 
7.4%
울 83
 
7.4%
중 82
 
7.3%
특 79
 
7.0%
별 79
 
7.0%
시 79
 
7.0%
구 79
 
7.0%
동 76
 
6.8%
지 45
 
4.0%
번 36
 
3.2%
Other values (108) 404
35.9%
Other Punctuation
ValueCountFrequency (%)
* 410
99.0%
, 2
 
0.5%
? 1
 
0.2%
/ 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
4 1
25.0%
9 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
56.8%
Common 856
43.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 83
 
7.4%
울 83
 
7.4%
중 82
 
7.3%
특 79
 
7.0%
별 79
 
7.0%
시 79
 
7.0%
구 79
 
7.0%
동 76
 
6.8%
지 45
 
4.0%
번 36
 
3.2%
Other values (108) 404
35.9%
Common
ValueCountFrequency (%)
* 410
47.9%
376
43.9%
- 60
 
7.0%
, 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
? 1
 
0.1%
/ 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
56.8%
ASCII 857
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 410
47.8%
376
43.9%
- 60
 
7.0%
, 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
A 1
 
0.1%
? 1
 
0.1%
Other values (3) 3
 
0.4%
Hangul
ValueCountFrequency (%)
서 83
 
7.4%
울 83
 
7.4%
중 82
 
7.3%
특 79
 
7.0%
별 79
 
7.0%
시 79
 
7.0%
구 79
 
7.0%
동 76
 
6.8%
지 45
 
4.0%
번 36
 
3.2%
Other values (108) 404
35.9%

도로명주소
Text

MISSING 

Distinct55
Distinct (%)90.2%
Missing18
Missing (%)22.8%
Memory size764.0 B
2024-05-11T04:39:43.108438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length33.131148
Min length22

Characters and Unicode

Total characters2021
Distinct characters135
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)85.2%

Sample

1st row서울특별시 중구 마른내로*길 ** (인현동*가)
2nd row서울특별시 중구 동호로 ***, **층 (쌍림동, 한림빌딩 )
3rd row서울특별시 중구 을지로 ***, *층 (을지로*가, 미디올빌딩)
4th row서울특별시 중구 을지로 ***, ****호 (산림동,대림상가)
5th row서울특별시 중구 동호로**길 ** (신당동,약수하이츠 ***-****)
ValueCountFrequency (%)
62
15.4%
서울특별시 61
15.2%
중구 61
15.2%
신당동 22
 
5.5%
호 20
 
5.0%
층 19
 
4.7%
다산로**길 12
 
3.0%
지하*층 9
 
2.2%
퇴계로**길 6
 
1.5%
지하층 5
 
1.2%
Other values (90) 125
31.1%
2024-05-11T04:39:44.140908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
17.4%
* 334
16.5%
동 71
 
3.5%
, 70
 
3.5%
로 65
 
3.2%
울 65
 
3.2%
서 65
 
3.2%
중 63
 
3.1%
구 62
 
3.1%
) 61
 
3.0%
Other values (125) 814
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1129
55.9%
Other Punctuation 405
 
20.0%
Space Separator 351
 
17.4%
Close Punctuation 61
 
3.0%
Open Punctuation 61
 
3.0%
Dash Punctuation 6
 
0.3%
Decimal Number 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
 
6.3%
로 65
 
5.8%
울 65
 
5.8%
서 65
 
5.8%
중 63
 
5.6%
구 62
 
5.5%
시 61
 
5.4%
별 61
 
5.4%
특 61
 
5.4%
층 37
 
3.3%
Other values (112) 518
45.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
4 1
20.0%
6 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 334
82.5%
, 70
 
17.3%
? 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1129
55.9%
Common 889
44.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
 
6.3%
로 65
 
5.8%
울 65
 
5.8%
서 65
 
5.8%
중 63
 
5.6%
구 62
 
5.5%
시 61
 
5.4%
별 61
 
5.4%
특 61
 
5.4%
층 37
 
3.3%
Other values (112) 518
45.9%
Common
ValueCountFrequency (%)
351
39.5%
* 334
37.6%
, 70
 
7.9%
) 61
 
6.9%
( 61
 
6.9%
- 6
 
0.7%
1 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1129
55.9%
ASCII 892
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
39.3%
* 334
37.4%
, 70
 
7.8%
) 61
 
6.8%
( 61
 
6.8%
- 6
 
0.7%
B 2
 
0.2%
1 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
동 71
 
6.3%
로 65
 
5.8%
울 65
 
5.8%
서 65
 
5.8%
중 63
 
5.6%
구 62
 
5.5%
시 61
 
5.4%
별 61
 
5.4%
특 61
 
5.4%
층 37
 
3.3%
Other values (112) 518
45.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)66.7%
Missing28
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean6446.451
Minimum4505
Maximum100011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T04:39:44.524977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4505
5-th percentile4514.5
Q14551
median4583
Q34603
95-th percentile4629
Maximum100011
Range95506
Interquartile range (IQR)52

Descriptive statistics

Standard deviation13363.738
Coefficient of variation (CV)2.073038
Kurtosis50.999234
Mean6446.451
Median Absolute Deviation (MAD)23
Skewness7.1413495
Sum328769
Variance1.7858949 × 108
MonotonicityNot monotonic
2024-05-11T04:39:44.872785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4585 7
 
8.9%
4583 5
 
6.3%
4576 3
 
3.8%
4521 3
 
3.8%
4629 2
 
2.5%
4602 2
 
2.5%
4551 2
 
2.5%
4626 1
 
1.3%
4606 1
 
1.3%
4553 1
 
1.3%
Other values (24) 24
30.4%
(Missing) 28
35.4%
ValueCountFrequency (%)
4505 1
 
1.3%
4508 1
 
1.3%
4511 1
 
1.3%
4518 1
 
1.3%
4521 3
3.8%
4522 1
 
1.3%
4523 1
 
1.3%
4534 1
 
1.3%
4548 1
 
1.3%
4549 1
 
1.3%
ValueCountFrequency (%)
100011 1
1.3%
4637 1
1.3%
4629 2
2.5%
4628 1
1.3%
4626 1
1.3%
4622 1
1.3%
4613 1
1.3%
4609 1
1.3%
4607 1
1.3%
4606 1
1.3%

사업장명
Text

Distinct78
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T04:39:45.351439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.3544304
Min length3

Characters and Unicode

Total characters660
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)97.5%

Sample

1st row미래음반
2nd row(주)어뮤즈 월드피아
3rd row미디어필
4th row성웅뮤직
5th row엔시아음향
ValueCountFrequency (%)
주식회사 9
 
8.0%
뮤비방 8
 
7.1%
불러 3
 
2.7%
mbc 3
 
2.7%
노래뮤비방 2
 
1.8%
다정 2
 
1.8%
금형노래 2
 
1.8%
스윙바이 1
 
0.9%
tuxedo엔터테인먼트 1
 
0.9%
영상제작뮤비방 1
 
0.9%
Other values (81) 81
71.7%
2024-05-11T04:39:46.075809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
5.3%
34
 
5.2%
( 28
 
4.2%
) 28
 
4.2%
뮤 23
 
3.5%
이 18
 
2.7%
스 13
 
2.0%
비 13
 
2.0%
방 13
 
2.0%
디 11
 
1.7%
Other values (164) 444
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
80.3%
Space Separator 34
 
5.2%
Uppercase Letter 34
 
5.2%
Open Punctuation 28
 
4.2%
Close Punctuation 28
 
4.2%
Lowercase Letter 5
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
6.6%
뮤 23
 
4.3%
이 18
 
3.4%
스 13
 
2.5%
비 13
 
2.5%
방 13
 
2.5%
디 11
 
2.1%
아 11
 
2.1%
트 11
 
2.1%
사 10
 
1.9%
Other values (142) 372
70.2%
Uppercase Letter
ValueCountFrequency (%)
M 7
20.6%
C 6
17.6%
B 5
14.7%
E 3
8.8%
D 2
 
5.9%
N 2
 
5.9%
O 2
 
5.9%
X 1
 
2.9%
U 1
 
2.9%
T 1
 
2.9%
Other values (4) 4
11.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
r 1
20.0%
t 1
20.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
80.3%
Common 91
 
13.8%
Latin 39
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
6.6%
뮤 23
 
4.3%
이 18
 
3.4%
스 13
 
2.5%
비 13
 
2.5%
방 13
 
2.5%
디 11
 
2.1%
아 11
 
2.1%
트 11
 
2.1%
사 10
 
1.9%
Other values (142) 372
70.2%
Latin
ValueCountFrequency (%)
M 7
17.9%
C 6
15.4%
B 5
12.8%
E 3
 
7.7%
D 2
 
5.1%
e 2
 
5.1%
N 2
 
5.1%
O 2
 
5.1%
X 1
 
2.6%
U 1
 
2.6%
Other values (8) 8
20.5%
Common
ValueCountFrequency (%)
34
37.4%
( 28
30.8%
) 28
30.8%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
80.2%
ASCII 130
 
19.7%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
6.6%
뮤 23
 
4.3%
이 18
 
3.4%
스 13
 
2.5%
비 13
 
2.5%
방 13
 
2.5%
디 11
 
2.1%
아 11
 
2.1%
트 11
 
2.1%
사 10
 
1.9%
Other values (141) 371
70.1%
ASCII
ValueCountFrequency (%)
34
26.2%
( 28
21.5%
) 28
21.5%
M 7
 
5.4%
C 6
 
4.6%
B 5
 
3.8%
E 3
 
2.3%
D 2
 
1.5%
e 2
 
1.5%
N 2
 
1.5%
Other values (12) 13
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2006-02-03 14:32:24
Maximum2024-02-19 15:02:34
2024-05-11T04:39:46.331703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:46.631412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
I
64 
U
15 

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 64
81.0%
U 15
 
19.0%

Length

2024-05-11T04:39:46.868878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:47.048817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
81.0%
u 15
 
19.0%

데이터갱신일자
Date

Distinct32
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:01:00
2024-05-11T04:39:47.421104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:47.708170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)75.8%
Missing17
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean199977.88
Minimum197032.92
Maximum201852.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T04:39:47.965469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197032.92
5-th percentile197462.64
Q1198777.68
median200178.77
Q3201531.66
95-th percentile201767.9
Maximum201852.93
Range4820.0076
Interquartile range (IQR)2753.976

Descriptive statistics

Standard deviation1468.5651
Coefficient of variation (CV)0.0073436374
Kurtosis-1.1159546
Mean199977.88
Median Absolute Deviation (MAD)1412.1624
Skewness-0.36722813
Sum12398629
Variance2156683.3
MonotonicityNot monotonic
2024-05-11T04:39:48.406409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
201597.33589429 7
 
8.9%
201653.626887432 5
 
6.3%
198306.905839189 3
 
3.8%
199526.416139264 3
 
3.8%
201780.540591746 2
 
2.5%
200851.005879117 1
 
1.3%
200973.545957796 1
 
1.3%
197791.105095409 1
 
1.3%
199025.825275946 1
 
1.3%
201334.615888293 1
 
1.3%
Other values (37) 37
46.8%
(Missing) 17
21.5%
ValueCountFrequency (%)
197032.923485936 1
 
1.3%
197119.562141402 1
 
1.3%
197133.181826761 1
 
1.3%
197462.198757043 1
 
1.3%
197471.039917994 1
 
1.3%
197791.105095409 1
 
1.3%
198185.76830634 1
 
1.3%
198264.174398114 1
 
1.3%
198306.905839189 3
3.8%
198403.083197305 1
 
1.3%
ValueCountFrequency (%)
201852.931048042 1
 
1.3%
201780.540591746 2
 
2.5%
201773.910927452 1
 
1.3%
201653.626887432 5
6.3%
201597.33589429 7
8.9%
201334.615888293 1
 
1.3%
201239.149508117 1
 
1.3%
201230.167293495 1
 
1.3%
201064.359406109 1
 
1.3%
201007.102529305 1
 
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)75.8%
Missing17
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean451045.57
Minimum449638.82
Maximum451808.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T04:39:48.832397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile449922.43
Q1450696.08
median451219.33
Q3451432.18
95-th percentile451693.21
Maximum451808.1
Range2169.274
Interquartile range (IQR)736.104

Descriptive statistics

Standard deviation546.75621
Coefficient of variation (CV)0.0012121973
Kurtosis0.010722275
Mean451045.57
Median Absolute Deviation (MAD)343.21935
Skewness-0.82547879
Sum27964825
Variance298942.36
MonotonicityNot monotonic
2024-05-11T04:39:49.237971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
451219.326465499 7
 
8.9%
451240.921057266 5
 
6.3%
451808.098341971 3
 
3.8%
451693.211256949 3
 
3.8%
451506.882386984 2
 
2.5%
451032.957107487 1
 
1.3%
451031.724150124 1
 
1.3%
450173.966697254 1
 
1.3%
451419.170289805 1
 
1.3%
451564.650487723 1
 
1.3%
Other values (37) 37
46.8%
(Missing) 17
21.5%
ValueCountFrequency (%)
449638.824308081 1
1.3%
449840.429692283 1
1.3%
449853.815713824 1
1.3%
449919.627798891 1
1.3%
449975.690020504 1
1.3%
450078.019386588 1
1.3%
450173.966697254 1
1.3%
450277.600241968 1
1.3%
450401.800010537 1
1.3%
450461.079724188 1
1.3%
ValueCountFrequency (%)
451808.098341971 3
3.8%
451693.211256949 3
3.8%
451675.501825666 1
 
1.3%
451644.992565652 1
 
1.3%
451608.222852119 1
 
1.3%
451601.063727086 1
 
1.3%
451564.650487723 1
 
1.3%
451548.724649763 1
 
1.3%
451506.882386984 2
2.5%
451504.192743007 1
 
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
음반.음악영상물제작업
59 
<NA>
20 

Length

Max length11
Median length11
Mean length9.2278481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:49.644065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:50.028868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 59
74.7%
na 20
 
25.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
유통관련업
59 
<NA>
20 

Length

Max length5
Median length5
Mean length4.7468354
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:50.416318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:50.746558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 59
74.7%
na 20
 
25.3%

총층수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:51.157113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:51.613368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제작취급품목내용
Categorical

Distinct22
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
31 
음반
22 
음악영상물
 
3
음반물
 
2
음반, 음악영상물
 
2
Other values (17)
19 

Length

Max length39
Median length15
Mean length5.0126582
Min length2

Unique

Unique15 ?
Unique (%)19.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
39.2%
음반 22
27.8%
음악영상물 3
 
3.8%
음반물 2
 
2.5%
음반, 음악영상물 2
 
2.5%
음반음악영상물 2
 
2.5%
음반 및 음악영상물 2
 
2.5%
영화영상제작 1
 
1.3%
오디오 시디, 1
 
1.3%
음반및음악영상물 1
 
1.3%
Other values (12) 12
 
15.2%

Length

2024-05-11T04:39:51.999712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 31
30.4%
음반 29
28.4%
음악영상물 9
 
8.8%
제작 5
 
4.9%
및 4
 
3.9%
음반.음악영상물 2
 
2.0%
음반물 2
 
2.0%
음반음악영상물 2
 
2.0%
비디오물 1
 
1.0%
애니메이션영화 1
 
1.0%
Other values (16) 16
15.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)20.3%
Missing20
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean30.247288
Minimum0
Maximum311
Zeros44
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T04:39:52.371741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.825
95-th percentile141.501
Maximum311
Range311
Interquartile range (IQR)0.825

Descriptive statistics

Standard deviation64.163173
Coefficient of variation (CV)2.1212868
Kurtosis5.7573159
Mean30.247288
Median Absolute Deviation (MAD)0
Skewness2.3287028
Sum1784.59
Variance4116.9127
MonotonicityNot monotonic
2024-05-11T04:39:52.731263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 44
55.7%
128.93 3
 
3.8%
101.1 2
 
2.5%
179.76 2
 
2.5%
122.0 1
 
1.3%
1.65 1
 
1.3%
137.25 1
 
1.3%
128.7 1
 
1.3%
311.0 1
 
1.3%
14.47 1
 
1.3%
Other values (2) 2
 
2.5%
(Missing) 20
25.3%
ValueCountFrequency (%)
0.0 44
55.7%
1.65 1
 
1.3%
14.47 1
 
1.3%
20.0 1
 
1.3%
101.01 1
 
1.3%
101.1 2
 
2.5%
122.0 1
 
1.3%
128.7 1
 
1.3%
128.93 3
 
3.8%
137.25 1
 
1.3%
ValueCountFrequency (%)
311.0 1
 
1.3%
179.76 2
2.5%
137.25 1
 
1.3%
128.93 3
3.8%
128.7 1
 
1.3%
122.0 1
 
1.3%
101.1 2
2.5%
101.01 1
 
1.3%
20.0 1
 
1.3%
14.47 1
 
1.3%

지상층수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:52.994625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:53.271455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

지하층수
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
57 
<NA>
20 
1
 
2

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 57
72.2%
<NA> 20
 
25.3%
1 2
 
2.5%

Length

2024-05-11T04:39:53.638529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:53.990609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
72.2%
na 20
 
25.3%
1 2
 
2.5%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing77
Missing (%)97.5%
Memory size764.0 B
2024-05-11T04:39:54.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-11T04:39:54.969872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:55.454943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:55.986153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

조명시설조도
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:56.314914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:56.563609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

노래방실수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:56.913887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:57.262738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

청소년실수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:57.658471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:58.014936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
0
59 
<NA>
20 

Length

Max length4
Median length1
Mean length1.7594937
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
74.7%
<NA> 20
 
25.3%

Length

2024-05-11T04:39:58.427112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:58.828690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
74.7%
na 20
 
25.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing78
Missing (%)98.7%
Memory size764.0 B
2024-05-11T04:39:59.122823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상업지역
ValueCountFrequency (%)
상업지역 1
100.0%
2024-05-11T04:40:00.028067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF324106199900000119991118<NA>1영업/정상13영업중<NA><NA><NA><NA>2234-2262<NA><NA>서울특별시 중구 인현동*가 ***-*번지서울특별시 중구 마른내로*길 ** (인현동*가)4548미래음반2014-01-03 09:58:46I2018-08-31 23:59:59.0<NA>199583.407811451414.779651음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF324106200000000120000118<NA>1영업/정상13영업중<NA><NA><NA><NA>2263-2761<NA><NA>서울특별시 중구 쌍림동 ***-*번지 한림빌딩 **층서울특별시 중구 동호로 ***, **층 (쌍림동, 한림빌딩 )4560(주)어뮤즈 월드피아2014-01-03 13:49:37I2018-08-31 23:59:59.0<NA>200182.534631451347.193948음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF324106200000000220000309<NA>1영업/정상13영업중<NA><NA><NA><NA>2266-8008<NA><NA>서울특별시 중구 필동*가 **-*<NA><NA>미디어필2013-01-29 08:32:22I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF324106200000000420000323<NA>1영업/정상13영업중<NA><NA><NA><NA>2237-2202<NA>100430서울특별시 중구 흥인동 *** 희성빌딩 ***호<NA><NA>성웅뮤직2007-07-19 13:29:39I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF324106200000000520000426<NA>1영업/정상13영업중<NA><NA><NA><NA>2263-6783<NA>100391서울특별시 중구 장충동*가 **/*<NA><NA>엔시아음향2007-07-19 13:31:48I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF324106200000000620001125<NA>1영업/정상13영업중<NA><NA><NA><NA>2235-0773<NA>100450서울특별시 중구 신당동 *** *층<NA><NA>릭스뮤직2007-07-19 13:33:14I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF324106200100000120010412<NA>1영업/정상13영업중<NA><NA><NA><NA>2272-9916<NA>100272서울특별시 중구 필동*가 **번지 충무빌딩 ***<NA><NA>우리엔터테인먼트(주)2007-07-19 13:36:01I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF324106200100000220010508<NA>3폐업3폐업20080122<NA><NA><NA>2278-6347<NA>100272서울특별시 중구 필동*가 ***-* 제산빌딩<NA><NA>유호뮤직2008-01-22 10:27:07I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF324106200100000320010504<NA>1영업/정상13영업중<NA><NA><NA><NA>2199-9080<NA>100300서울특별시 중구 초동 ***-* 골드타워 *층<NA><NA>(주)아이엠스테이션2007-07-19 13:40:56I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF324106200100000420011106<NA>1영업/정상13영업중<NA><NA><NA><NA>2260-2800<NA>100273서울특별시 중구 필동*가 **-*<NA><NA>(주)에이텍엔테인먼트2007-07-19 13:43:41I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업0<NA>음반0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
693010000CDFF32410620230000022020-07-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 *층 ***호 (다동)4521주식회사 위라이드2023-02-24 15:44:31I2022-12-01 22:06:00.0<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>
703010000CDFF32410620230000032023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6092-0799<NA><NA>서울특별시 중구 필동*가 **-* 참그루서울특별시 중구 필동로 **, 참그루 지하*층 (필동*가)4626주식회사 디그리고디2023-08-01 19:42:45U2022-12-08 00:03:00.0<NA>199565.982412450869.94543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713010000CDFF32410620230000042001-09-24<NA>3폐업3폐업2023-11-02<NA><NA><NA><NA><NA><NA>서울특별시 중구 명동*가 **-* 타임워크명동빌딩서울특별시 중구 남대문로 **, 타임워크명동빌딩 *층 (명동*가)4534주식회사 에이블씨엔씨2023-11-02 09:11:18U2022-11-01 00:04:00.0<NA>198433.903212451323.21629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723010000CDFF32410620230000052023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*** 청솔빌라 ***호서울특별시 중구 동호로**자길 **, ***호 (신당동, 청솔빌라)4602스윙바이2023-09-25 18:10:38I2022-12-08 22:07:00.0<NA>200405.867396449853.815714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733010000CDFF32410620230000062023-12-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-** 이안타워 ***호서울특별시 중구 다산로**길 **, 이안타워 *층 ***호 (신당동)4613주식회사 언더바고2023-12-04 09:42:24I2022-11-02 00:06:00.0<NA>200973.545958451031.72415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743010000CDFF32410620230000072023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-* 인영빌딩서울특별시 중구 청구로 ***-*, 인영빌딩 *층 (신당동)4609나우뮤직2023-12-05 09:22:55I2022-11-02 00:07:00.0<NA>200851.005879451032.957107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753010000CDFF32410620240000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 **-**서울특별시 중구 다산로**길 **, 지하 *층 (신당동)4585불러 영상 뮤비방2024-01-03 15:46:24I2023-12-01 00:05:00.0<NA>201597.335894451219.326465<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763010000CDFF32410620240000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동*가 **-** ***호서울특별시 중구 을지로**길 **, *층 ***호 (인현동*가)4549나렌쉬프2024-01-19 15:44:43I2023-11-30 22:01:00.0<NA>199358.790432451400.776084<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773010000CDFF32410620240000032022-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-477-5007<NA><NA>서울특별시 중구 만리동*가 **-* 하람휴 *동 ***호서울특별시 중구 만리재로**길 *, 하람휴 *동 ***호 (만리동*가)4508주식회사 코리아매니지먼트그룹2024-01-24 18:53:04I2023-11-30 22:06:00.0<NA>197119.562141450461.079724<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783010000CDFF32410620240000042024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 흥인동 *** 을해빌딩서울특별시 중구 다산로 ***, 을해빌딩 지하 *층 (흥인동)4569플루토시스템2024-02-19 15:02:34I2023-12-01 22:01:00.0<NA>201334.615888451564.650488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>