Overview

Dataset statistics

Number of variables56
Number of observations160
Missing cells4571
Missing cells (%)51.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.2 KiB
Average record size in memory487.8 B

Variable types

Categorical16
Text8
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17873/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (72.2%)Imbalance
지상층수 is highly imbalanced (72.2%)Imbalance
지하층수 is highly imbalanced (59.3%)Imbalance
통로너비 is highly imbalanced (61.6%)Imbalance
조명시설조도 is highly imbalanced (61.6%)Imbalance
노래방실수 is highly imbalanced (61.6%)Imbalance
청소년실수 is highly imbalanced (61.6%)Imbalance
총게임기수 is highly imbalanced (61.6%)Imbalance
인허가취소일자 has 160 (100.0%) missing valuesMissing
폐업일자 has 122 (76.2%) missing valuesMissing
휴업시작일자 has 160 (100.0%) missing valuesMissing
휴업종료일자 has 160 (100.0%) missing valuesMissing
재개업일자 has 160 (100.0%) missing valuesMissing
전화번호 has 35 (21.9%) missing valuesMissing
소재지면적 has 160 (100.0%) missing valuesMissing
소재지우편번호 has 80 (50.0%) missing valuesMissing
도로명주소 has 7 (4.4%) missing valuesMissing
도로명우편번호 has 54 (33.8%) missing valuesMissing
업태구분명 has 160 (100.0%) missing valuesMissing
주변환경명 has 159 (99.4%) missing valuesMissing
제작취급품목내용 has 160 (100.0%) missing valuesMissing
시설면적 has 117 (73.1%) missing valuesMissing
건물용도명 has 158 (98.8%) missing valuesMissing
비상계단여부 has 160 (100.0%) missing valuesMissing
비상구여부 has 160 (100.0%) missing valuesMissing
자동환기여부 has 160 (100.0%) missing valuesMissing
청소년실여부 has 160 (100.0%) missing valuesMissing
특수조명여부 has 160 (100.0%) missing valuesMissing
방음시설여부 has 160 (100.0%) missing valuesMissing
비디오재생기명 has 160 (100.0%) missing valuesMissing
조명시설유무 has 160 (100.0%) missing valuesMissing
음향시설여부 has 160 (100.0%) missing valuesMissing
편의시설여부 has 160 (100.0%) missing valuesMissing
소방시설여부 has 160 (100.0%) missing valuesMissing
기존게임업외업종명 has 160 (100.0%) missing valuesMissing
제공게임물명 has 160 (100.0%) missing valuesMissing
공연장형태구분명 has 160 (100.0%) missing valuesMissing
품목명 has 160 (100.0%) missing valuesMissing
최초등록시점 has 160 (100.0%) missing valuesMissing
지역구분명 has 158 (98.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 18 (11.2%) zerosZeros

Reproduction

Analysis started2024-05-11 03:14:24.279453
Analysis finished2024-05-11 03:14:26.250205
Duration1.97 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
3210000
160 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 160
100.0%

Length

2024-05-11T03:14:26.526388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:26.973119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 160
100.0%

관리번호
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T03:14:27.686360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3200
Distinct characters14
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

Unique160 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001986000001
2nd rowCDFG1252001990000001
3rd rowCDFG1252001994000002
4th rowCDFG1252001995000001
5th rowCDFG1252001995000002
ValueCountFrequency (%)
cdfg1252001986000001 1
 
0.6%
cdfg1252001990000001 1
 
0.6%
cdfg1252002017000007 1
 
0.6%
cdfg1252002016000010 1
 
0.6%
cdfg1252002016000011 1
 
0.6%
cdfg1252002016000012 1
 
0.6%
cdfg1252002017000001 1
 
0.6%
cdfg1252002017000002 1
 
0.6%
cdfg1252002017000004 1
 
0.6%
cdfg1252002017000005 1
 
0.6%
Other values (150) 150
93.8%
2024-05-11T03:14:28.692627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1304
40.8%
2 537
16.8%
1 333
 
10.4%
5 188
 
5.9%
C 160
 
5.0%
D 160
 
5.0%
F 160
 
5.0%
G 160
 
5.0%
9 48
 
1.5%
3 38
 
1.2%
Other values (4) 112
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2560
80.0%
Uppercase Letter 640
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1304
50.9%
2 537
21.0%
1 333
 
13.0%
5 188
 
7.3%
9 48
 
1.9%
3 38
 
1.5%
4 31
 
1.2%
7 29
 
1.1%
6 27
 
1.1%
8 25
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 160
25.0%
D 160
25.0%
F 160
25.0%
G 160
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2560
80.0%
Latin 640
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1304
50.9%
2 537
21.0%
1 333
 
13.0%
5 188
 
7.3%
9 48
 
1.9%
3 38
 
1.5%
4 31
 
1.2%
7 29
 
1.1%
6 27
 
1.1%
8 25
 
1.0%
Latin
ValueCountFrequency (%)
C 160
25.0%
D 160
25.0%
F 160
25.0%
G 160
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1304
40.8%
2 537
16.8%
1 333
 
10.4%
5 188
 
5.9%
C 160
 
5.0%
D 160
 
5.0%
F 160
 
5.0%
G 160
 
5.0%
9 48
 
1.5%
3 38
 
1.2%
Other values (4) 112
 
3.5%

인허가일자
Date

Distinct151
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1983-01-24 00:00:00
Maximum2023-10-23 00:00:00
2024-05-11T03:14:29.201830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:29.863946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
122 
3
34 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 122
76.2%
3 34
 
21.2%
5 4
 
2.5%

Length

2024-05-11T03:14:30.286280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:30.678088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 122
76.2%
3 34
 
21.2%
5 4
 
2.5%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
122 
폐업
34 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.4375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 122
76.2%
폐업 34
 
21.2%
제외/삭제/전출 4
 
2.5%

Length

2024-05-11T03:14:31.068552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:31.414936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 122
76.2%
폐업 34
 
21.2%
제외/삭제/전출 4
 
2.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
122 
3
34 
15
 
4

Length

Max length2
Median length2
Mean length1.7875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 122
76.2%
3 34
 
21.2%
15 4
 
2.5%

Length

2024-05-11T03:14:31.803687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:32.147468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 122
76.2%
3 34
 
21.2%
15 4
 
2.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
122 
폐업
34 
전출
 
4

Length

Max length3
Median length3
Mean length2.7625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 122
76.2%
폐업 34
 
21.2%
전출 4
 
2.5%

Length

2024-05-11T03:14:32.528563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:32.897937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 122
76.2%
폐업 34
 
21.2%
전출 4
 
2.5%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)97.4%
Missing122
Missing (%)76.2%
Memory size1.4 KiB
Minimum1998-10-22 00:00:00
Maximum2023-09-22 00:00:00
2024-05-11T03:14:33.193158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:33.564649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct118
Distinct (%)94.4%
Missing35
Missing (%)21.9%
Memory size1.4 KiB
2024-05-11T03:14:34.309052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.92
Min length8

Characters and Unicode

Total characters1365
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)88.8%

Sample

1st row523-6176
2nd row532-4292
3rd row592-6492
4th row579`-2118
5th row597-7587
ValueCountFrequency (%)
02 20
 
12.1%
578 3
 
1.8%
02-2264-8355 2
 
1.2%
573 2
 
1.2%
5141 2
 
1.2%
02-563-1487 2
 
1.2%
582-0941 2
 
1.2%
02-514-0317 2
 
1.2%
02-579-2317 2
 
1.2%
02-581-5061 2
 
1.2%
Other values (126) 126
76.4%
2024-05-11T03:14:35.497960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 202
14.8%
- 190
13.9%
2 186
13.6%
5 171
12.5%
7 110
8.1%
3 93
6.8%
4 89
6.5%
8 86
6.3%
1 80
 
5.9%
6 60
 
4.4%
Other values (3) 98
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1133
83.0%
Dash Punctuation 190
 
13.9%
Space Separator 41
 
3.0%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 202
17.8%
2 186
16.4%
5 171
15.1%
7 110
9.7%
3 93
8.2%
4 89
7.9%
8 86
7.6%
1 80
 
7.1%
6 60
 
5.3%
9 56
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 202
14.8%
- 190
13.9%
2 186
13.6%
5 171
12.5%
7 110
8.1%
3 93
6.8%
4 89
6.5%
8 86
6.3%
1 80
 
5.9%
6 60
 
4.4%
Other values (3) 98
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 202
14.8%
- 190
13.9%
2 186
13.6%
5 171
12.5%
7 110
8.1%
3 93
6.8%
4 89
6.5%
8 86
6.3%
1 80
 
5.9%
6 60
 
4.4%
Other values (3) 98
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)45.0%
Missing80
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean137577.3
Minimum137030
Maximum137913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T03:14:35.957479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137030
5-th percentile137030
Q1137130.75
median137855.5
Q3137883
95-th percentile137905
Maximum137913
Range883
Interquartile range (IQR)752.25

Descriptive statistics

Standard deviation383.83529
Coefficient of variation (CV)0.0027899609
Kurtosis-1.7351899
Mean137577.3
Median Absolute Deviation (MAD)41
Skewness-0.52360324
Sum11006184
Variance147329.53
MonotonicityNot monotonic
2024-05-11T03:14:36.326229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
137131 10
 
6.2%
137071 7
 
4.4%
137881 5
 
3.1%
137905 5
 
3.1%
137030 5
 
3.1%
137890 4
 
2.5%
137895 3
 
1.9%
137061 3
 
1.9%
137894 3
 
1.9%
137858 3
 
1.9%
Other values (26) 32
 
20.0%
(Missing) 80
50.0%
ValueCountFrequency (%)
137030 5
3.1%
137061 3
 
1.9%
137064 1
 
0.6%
137071 7
4.4%
137073 1
 
0.6%
137074 1
 
0.6%
137130 2
 
1.2%
137131 10
6.2%
137713 1
 
0.6%
137817 1
 
0.6%
ValueCountFrequency (%)
137913 1
 
0.6%
137906 1
 
0.6%
137905 5
3.1%
137901 1
 
0.6%
137898 1
 
0.6%
137895 3
1.9%
137894 3
1.9%
137890 4
2.5%
137886 1
 
0.6%
137882 2
 
1.2%

지번주소
Text

Distinct119
Distinct (%)74.8%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-05-11T03:14:36.869802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.320755
Min length13

Characters and Unicode

Total characters4026
Distinct characters158
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)61.6%

Sample

1st row서울특별시 서초구 서초동 ****-*번지 대한약사회빌딩 지하***호
2nd row서울특별시 서초구 서초동 ****-*번지 서초프라자빌딩***호
3rd row서울특별시 서초구 서초동 ****-*번지 서초중앙프라자 ***호
4th row서울특별시 서초구 양재동 ***-**번지 남아빌딩 *층
5th row서울특별시 서초구 서초동 ****-***번지 ***호
ValueCountFrequency (%)
서울특별시 159
20.7%
서초구 159
20.7%
번지 96
12.5%
서초동 57
 
7.4%
양재동 41
 
5.3%
41
 
5.3%
방배동 31
 
4.0%
잠원동 24
 
3.1%
호 24
 
3.1%
층 22
 
2.9%
Other values (89) 115
15.0%
2024-05-11T03:14:37.956150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 728
18.1%
727
18.1%
서 386
 
9.6%
초 223
 
5.5%
동 163
 
4.0%
시 161
 
4.0%
특 159
 
3.9%
별 159
 
3.9%
구 159
 
3.9%
울 159
 
3.9%
Other values (148) 1002
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2427
60.3%
Other Punctuation 728
 
18.1%
Space Separator 727
 
18.1%
Dash Punctuation 129
 
3.2%
Uppercase Letter 13
 
0.3%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 386
15.9%
초 223
 
9.2%
동 163
 
6.7%
시 161
 
6.6%
특 159
 
6.6%
별 159
 
6.6%
구 159
 
6.6%
울 159
 
6.6%
지 118
 
4.9%
번 96
 
4.0%
Other values (133) 644
26.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
15.4%
B 2
15.4%
R 2
15.4%
O 1
7.7%
K 1
7.7%
E 1
7.7%
W 1
7.7%
V 1
7.7%
N 1
7.7%
M 1
7.7%
Other Punctuation
ValueCountFrequency (%)
* 728
100.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2427
60.3%
Common 1585
39.4%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 386
15.9%
초 223
 
9.2%
동 163
 
6.7%
시 161
 
6.6%
특 159
 
6.6%
별 159
 
6.6%
구 159
 
6.6%
울 159
 
6.6%
지 118
 
4.9%
번 96
 
4.0%
Other values (133) 644
26.5%
Latin
ValueCountFrequency (%)
T 2
14.3%
B 2
14.3%
R 2
14.3%
O 1
7.1%
K 1
7.1%
E 1
7.1%
W 1
7.1%
V 1
7.1%
N 1
7.1%
M 1
7.1%
Common
ValueCountFrequency (%)
* 728
45.9%
727
45.9%
- 129
 
8.1%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2427
60.3%
ASCII 1599
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 728
45.5%
727
45.5%
- 129
 
8.1%
T 2
 
0.1%
B 2
 
0.1%
R 2
 
0.1%
O 1
 
0.1%
K 1
 
0.1%
E 1
 
0.1%
W 1
 
0.1%
Other values (5) 5
 
0.3%
Hangul
ValueCountFrequency (%)
서 386
15.9%
초 223
 
9.2%
동 163
 
6.7%
시 161
 
6.6%
특 159
 
6.6%
별 159
 
6.6%
구 159
 
6.6%
울 159
 
6.6%
지 118
 
4.9%
번 96
 
4.0%
Other values (133) 644
26.5%

도로명주소
Text

MISSING 

Distinct148
Distinct (%)96.7%
Missing7
Missing (%)4.4%
Memory size1.4 KiB
2024-05-11T03:14:38.574125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length34.875817
Min length22

Characters and Unicode

Total characters5336
Distinct characters188
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

Unique143 ?
Unique (%)93.5%

Sample

1st row서울특별시 서초구 효령로 *** (서초동,대한약사회빌딩 지하***호)
2nd row서울특별시 서초구 서초중앙로**길 ** (서초동,서초프라자빌딩***호)
3rd row서울특별시 서초구 서초중앙로**길 ** (서초동,서초중앙프라자 ***호)
4th row서울특별시 서초구 마방로 **-* (양재동,남아빌딩 *층)
5th row서울특별시 서초구 명달로 ** (서초동,***호)
ValueCountFrequency (%)
154
15.4%
서울특별시 153
15.3%
서초구 153
15.3%
층 64
 
6.4%
호 53
 
5.3%
서초동 39
 
3.9%
양재동 30
 
3.0%
방배동 23
 
2.3%
서초대로**길 19
 
1.9%
잠원동 17
 
1.7%
Other values (177) 294
29.4%
2024-05-11T03:14:39.664234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
883
16.5%
* 827
15.5%
서 412
 
7.7%
초 252
 
4.7%
, 190
 
3.6%
동 166
 
3.1%
구 156
 
2.9%
시 155
 
2.9%
( 153
 
2.9%
울 153
 
2.9%
Other values (178) 1989
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3082
57.8%
Other Punctuation 1017
 
19.1%
Space Separator 883
 
16.5%
Open Punctuation 153
 
2.9%
Close Punctuation 153
 
2.9%
Dash Punctuation 25
 
0.5%
Uppercase Letter 19
 
0.4%
Math Symbol 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 412
 
13.4%
초 252
 
8.2%
동 166
 
5.4%
구 156
 
5.1%
시 155
 
5.0%
울 153
 
5.0%
별 153
 
5.0%
특 153
 
5.0%
로 149
 
4.8%
길 101
 
3.3%
Other values (158) 1232
40.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
31.6%
T 2
 
10.5%
R 2
 
10.5%
V 1
 
5.3%
O 1
 
5.3%
M 1
 
5.3%
W 1
 
5.3%
E 1
 
5.3%
K 1
 
5.3%
N 1
 
5.3%
Other values (2) 2
 
10.5%
Other Punctuation
ValueCountFrequency (%)
* 827
81.3%
, 190
 
18.7%
Space Separator
ValueCountFrequency (%)
883
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3082
57.8%
Common 2234
41.9%
Latin 20
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 412
 
13.4%
초 252
 
8.2%
동 166
 
5.4%
구 156
 
5.1%
시 155
 
5.0%
울 153
 
5.0%
별 153
 
5.0%
특 153
 
5.0%
로 149
 
4.8%
길 101
 
3.3%
Other values (158) 1232
40.0%
Latin
ValueCountFrequency (%)
B 6
30.0%
T 2
 
10.0%
R 2
 
10.0%
V 1
 
5.0%
O 1
 
5.0%
M 1
 
5.0%
W 1
 
5.0%
E 1
 
5.0%
K 1
 
5.0%
N 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
883
39.5%
* 827
37.0%
, 190
 
8.5%
( 153
 
6.8%
) 153
 
6.8%
- 25
 
1.1%
~ 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3082
57.8%
ASCII 2254
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
883
39.2%
* 827
36.7%
, 190
 
8.4%
( 153
 
6.8%
) 153
 
6.8%
- 25
 
1.1%
B 6
 
0.3%
~ 3
 
0.1%
T 2
 
0.1%
R 2
 
0.1%
Other values (10) 10
 
0.4%
Hangul
ValueCountFrequency (%)
서 412
 
13.4%
초 252
 
8.2%
동 166
 
5.4%
구 156
 
5.1%
시 155
 
5.0%
울 153
 
5.0%
별 153
 
5.0%
특 153
 
5.0%
로 149
 
4.8%
길 101
 
3.3%
Other values (158) 1232
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)65.1%
Missing54
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean38731.509
Minimum6525
Maximum137906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T03:14:40.234061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6525
5-th percentile6529
Q16590.75
median6693
Q36797
95-th percentile137881
Maximum137906
Range131381
Interquartile range (IQR)206.25

Descriptive statistics

Standard deviation56547.463
Coefficient of variation (CV)1.459986
Kurtosis-0.56829799
Mean38731.509
Median Absolute Deviation (MAD)104
Skewness1.2011285
Sum4105540
Variance3.1976156 × 109
MonotonicityNot monotonic
2024-05-11T03:14:40.997674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137131 6
 
3.8%
6588 4
 
2.5%
6530 4
 
2.5%
137071 4
 
2.5%
6693 3
 
1.9%
6529 3
 
1.9%
6569 2
 
1.2%
6586 2
 
1.2%
6744 2
 
1.2%
6651 2
 
1.2%
Other values (59) 74
46.2%
(Missing) 54
33.8%
ValueCountFrequency (%)
6525 1
 
0.6%
6526 2
1.2%
6527 2
1.2%
6529 3
1.9%
6530 4
2.5%
6531 1
 
0.6%
6535 1
 
0.6%
6552 1
 
0.6%
6561 1
 
0.6%
6562 1
 
0.6%
ValueCountFrequency (%)
137906 1
 
0.6%
137905 1
 
0.6%
137895 1
 
0.6%
137890 2
 
1.2%
137881 2
 
1.2%
137860 1
 
0.6%
137858 2
 
1.2%
137856 1
 
0.6%
137837 1
 
0.6%
137131 6
3.8%

사업장명
Text

Distinct159
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T03:14:41.604974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length7.2375
Min length3

Characters and Unicode

Total characters1158
Distinct characters248
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

Unique158 ?
Unique (%)98.8%

Sample

1st row광성문화인쇄사
2nd row성문종합원색
3rd row통신저널사
4th row(주)송림출판
5th row베스트기획
ValueCountFrequency (%)
주식회사 12
 
6.4%
베스트기획 2
 
1.1%
중앙기획 2
 
1.1%
디자인 2
 
1.1%
도서출판 2
 
1.1%
주)타라그래픽스 2
 
1.1%
전자신문 1
 
0.5%
이산지식컨설팅 1
 
0.5%
주)비엔피 1
 
0.5%
복사광장 1
 
0.5%
Other values (162) 162
86.2%
2024-05-11T03:14:42.840671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
6.7%
) 67
 
5.8%
( 67
 
5.8%
스 36
 
3.1%
디 30
 
2.6%
인 29
 
2.5%
이 29
 
2.5%
28
 
2.4%
사 27
 
2.3%
피 22
 
1.9%
Other values (238) 745
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 971
83.9%
Close Punctuation 67
 
5.8%
Open Punctuation 67
 
5.8%
Space Separator 28
 
2.4%
Uppercase Letter 17
 
1.5%
Decimal Number 4
 
0.3%
Dash Punctuation 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
8.0%
스 36
 
3.7%
디 30
 
3.1%
인 29
 
3.0%
이 29
 
3.0%
사 27
 
2.8%
피 22
 
2.3%
트 18
 
1.9%
자 16
 
1.6%
드 16
 
1.6%
Other values (220) 670
69.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
11.8%
E 2
11.8%
M 2
11.8%
G 2
11.8%
T 2
11.8%
C 2
11.8%
H 1
5.9%
N 1
5.9%
A 1
5.9%
D 1
5.9%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
9 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 971
83.9%
Common 170
 
14.7%
Latin 17
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
8.0%
스 36
 
3.7%
디 30
 
3.1%
인 29
 
3.0%
이 29
 
3.0%
사 27
 
2.8%
피 22
 
2.3%
트 18
 
1.9%
자 16
 
1.6%
드 16
 
1.6%
Other values (220) 670
69.0%
Latin
ValueCountFrequency (%)
L 2
11.8%
E 2
11.8%
M 2
11.8%
G 2
11.8%
T 2
11.8%
C 2
11.8%
H 1
5.9%
N 1
5.9%
A 1
5.9%
D 1
5.9%
Common
ValueCountFrequency (%)
) 67
39.4%
( 67
39.4%
28
16.5%
- 3
 
1.8%
3 2
 
1.2%
9 2
 
1.2%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 971
83.9%
ASCII 187
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
8.0%
스 36
 
3.7%
디 30
 
3.1%
인 29
 
3.0%
이 29
 
3.0%
사 27
 
2.8%
피 22
 
2.3%
트 18
 
1.9%
자 16
 
1.6%
드 16
 
1.6%
Other values (220) 670
69.0%
ASCII
ValueCountFrequency (%)
) 67
35.8%
( 67
35.8%
28
15.0%
- 3
 
1.6%
3 2
 
1.1%
L 2
 
1.1%
9 2
 
1.1%
E 2
 
1.1%
M 2
 
1.1%
G 2
 
1.1%
Other values (8) 10
 
5.3%

최종수정일자
Date

Distinct151
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-04-18 11:32:29
Maximum2024-03-13 11:00:32
2024-05-11T03:14:43.481368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:44.254996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
121 
U
39 

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 121
75.6%
U 39
 
24.4%

Length

2024-05-11T03:14:44.851115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:45.207846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 121
75.6%
u 39
 
24.4%

데이터갱신일자
Date

Distinct56
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-05-11T03:14:45.564885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:46.090000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct141
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201646.34
Minimum198464.57
Maximum204984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T03:14:46.706280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198464.57
5-th percentile198595.07
Q1200829.18
median201587.03
Q3203157.82
95-th percentile203850.9
Maximum204984
Range6519.4304
Interquartile range (IQR)2328.6338

Descriptive statistics

Standard deviation1649.081
Coefficient of variation (CV)0.0081780855
Kurtosis-0.74367646
Mean201646.34
Median Absolute Deviation (MAD)1141.3106
Skewness-0.38549574
Sum32263415
Variance2719468.2
MonotonicityNot monotonic
2024-05-11T03:14:47.323318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202717.263847498 2
 
1.2%
202508.646065919 2
 
1.2%
201487.155393157 2
 
1.2%
201598.475170439 2
 
1.2%
202580.644821513 2
 
1.2%
202638.785176128 2
 
1.2%
198478.53754999 2
 
1.2%
203144.695993083 2
 
1.2%
201527.645435942 2
 
1.2%
201498.564777746 2
 
1.2%
Other values (131) 140
87.5%
ValueCountFrequency (%)
198464.569551277 1
0.6%
198466.181273023 1
0.6%
198478.53754999 2
1.2%
198487.958709466 1
0.6%
198492.797210723 1
0.6%
198512.866027886 1
0.6%
198559.162065371 1
0.6%
198596.964144245 1
0.6%
198644.142379964 2
1.2%
198652.239589719 1
0.6%
ValueCountFrequency (%)
204984.0 1
0.6%
204132.69760486 1
0.6%
204060.237586466 1
0.6%
204042.638508999 1
0.6%
203994.539629549 1
0.6%
203951.061649037 1
0.6%
203942.265086728 1
0.6%
203924.496411724 1
0.6%
203847.029537103 1
0.6%
203834.564763067 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct141
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443040.22
Minimum438241
Maximum446048.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T03:14:47.898711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438241
5-th percentile441323.37
Q1441935.99
median442900.38
Q3443682.52
95-th percentile445589.74
Maximum446048.23
Range7807.2282
Interquartile range (IQR)1746.5264

Descriptive statistics

Standard deviation1443.5444
Coefficient of variation (CV)0.0032582694
Kurtosis0.017510132
Mean443040.22
Median Absolute Deviation (MAD)897.18303
Skewness0.20083709
Sum70886435
Variance2083820.4
MonotonicityNot monotonic
2024-05-11T03:14:48.525933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442799.631585745 2
 
1.2%
442625.413940559 2
 
1.2%
445552.508124223 2
 
1.2%
445478.801976088 2
 
1.2%
443264.557852558 2
 
1.2%
442590.537454325 2
 
1.2%
441630.724841844 2
 
1.2%
441406.271201838 2
 
1.2%
445354.356827675 2
 
1.2%
445824.056378303 2
 
1.2%
Other values (131) 140
87.5%
ValueCountFrequency (%)
438241.0 1
0.6%
439736.66357238 1
0.6%
440387.38641804 1
0.6%
440588.191656079 1
0.6%
440676.379919661 1
0.6%
440704.468391465 1
0.6%
441113.350026051 1
0.6%
441117.848492474 1
0.6%
441334.182656999 1
0.6%
441339.016728575 1
0.6%
ValueCountFrequency (%)
446048.228185231 1
0.6%
445824.056378303 2
1.2%
445792.588755803 1
0.6%
445683.712788428 1
0.6%
445657.769935924 1
0.6%
445606.86203148 1
0.6%
445600.9504223 1
0.6%
445589.15064668 1
0.6%
445564.717024686 1
0.6%
445554.836940713 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
인쇄사
135 
<NA>
25 

Length

Max length4
Median length3
Mean length3.15625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 135
84.4%
<NA> 25
 
15.6%

Length

2024-05-11T03:14:49.088993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:49.545946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 135
84.4%
na 25
 
15.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
출판인쇄업
135 
<NA>
25 

Length

Max length5
Median length5
Mean length4.84375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 135
84.4%
<NA> 25
 
15.6%

Length

2024-05-11T03:14:50.125301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:50.571511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 135
84.4%
na 25
 
15.6%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
143 
0
15 
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.68125
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 143
89.4%
0 15
 
9.4%
4 1
 
0.6%
6 1
 
0.6%

Length

2024-05-11T03:14:51.035979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:51.478705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
89.4%
0 15
 
9.4%
4 1
 
0.6%
6 1
 
0.6%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing159
Missing (%)99.4%
Memory size1.4 KiB
2024-05-11T03:14:51.699028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T03:14:52.833554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)55.8%
Missing117
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean3233.7112
Minimum0
Maximum136396
Zeros18
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T03:14:53.226974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q3118.735
95-th percentile197.19
Maximum136396
Range136396
Interquartile range (IQR)118.735

Descriptive statistics

Standard deviation20790.694
Coefficient of variation (CV)6.4293603
Kurtosis42.998809
Mean3233.7112
Median Absolute Deviation (MAD)50
Skewness6.5573055
Sum139049.58
Variance4.3225296 × 108
MonotonicityNot monotonic
2024-05-11T03:14:53.706299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 18
 
11.2%
171.9 2
 
1.2%
78.5 2
 
1.2%
20.0 1
 
0.6%
105.3 1
 
0.6%
131.13 1
 
0.6%
77.0 1
 
0.6%
200.0 1
 
0.6%
50.0 1
 
0.6%
136396.0 1
 
0.6%
Other values (14) 14
 
8.8%
(Missing) 117
73.1%
ValueCountFrequency (%)
0.0 18
11.2%
4.95 1
 
0.6%
15.0 1
 
0.6%
20.0 1
 
0.6%
50.0 1
 
0.6%
70.04 1
 
0.6%
72.5 1
 
0.6%
77.0 1
 
0.6%
78.5 2
 
1.2%
81.3 1
 
0.6%
ValueCountFrequency (%)
136396.0 1
0.6%
325.26 1
0.6%
200.0 1
0.6%
171.9 2
1.2%
168.87 1
0.6%
146.58 1
0.6%
145.2 1
0.6%
131.13 1
0.6%
123.7 1
0.6%
122.64 1
0.6%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
143 
0
15 
3
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.68125
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 143
89.4%
0 15
 
9.4%
3 1
 
0.6%
5 1
 
0.6%

Length

2024-05-11T03:14:54.350098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:54.726467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
89.4%
0 15
 
9.4%
3 1
 
0.6%
5 1
 
0.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
140 
0
15 
1
 
5

Length

Max length4
Median length4
Mean length3.625
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> 140
87.5%
0 15
 
9.4%
1 5
 
3.1%

Length

2024-05-11T03:14:55.095883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:55.450653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 140
87.5%
0 15
 
9.4%
1 5
 
3.1%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing158
Missing (%)98.8%
Memory size1.4 KiB
2024-05-11T03:14:55.812242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters3
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 row사무실
2nd row사무실
ValueCountFrequency (%)
사무실 2
100.0%
2024-05-11T03:14:56.687980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
33.3%
무 2
33.3%
실 2
33.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
148 
0
 
12

Length

Max length4
Median length4
Mean length3.775
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> 148
92.5%
0 12
 
7.5%

Length

2024-05-11T03:14:57.149665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:57.669000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
92.5%
0 12
 
7.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
148 
0
 
12

Length

Max length4
Median length4
Mean length3.775
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> 148
92.5%
0 12
 
7.5%

Length

2024-05-11T03:14:58.169269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:58.537158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
92.5%
0 12
 
7.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
148 
0
 
12

Length

Max length4
Median length4
Mean length3.775
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> 148
92.5%
0 12
 
7.5%

Length

2024-05-11T03:14:58.981725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:59.346455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
92.5%
0 12
 
7.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
148 
0
 
12

Length

Max length4
Median length4
Mean length3.775
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> 148
92.5%
0 12
 
7.5%

Length

2024-05-11T03:14:59.776215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:00.220326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
92.5%
0 12
 
7.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
148 
0
 
12

Length

Max length4
Median length4
Mean length3.775
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> 148
92.5%
0 12
 
7.5%

Length

2024-05-11T03:15:00.696306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:01.111080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
92.5%
0 12
 
7.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing158
Missing (%)98.8%
Memory size1.4 KiB
2024-05-11T03:15:01.428391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row공업지역
2nd row근린상업지역
ValueCountFrequency (%)
공업지역 1
50.0%
근린상업지역 1
50.0%
2024-05-11T03:15:02.347823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2
20.0%
지 2
20.0%
역 2
20.0%
공 1
10.0%
근 1
10.0%
린 1
10.0%
상 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2
20.0%
지 2
20.0%
역 2
20.0%
공 1
10.0%
근 1
10.0%
린 1
10.0%
상 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2
20.0%
지 2
20.0%
역 2
20.0%
공 1
10.0%
근 1
10.0%
린 1
10.0%
상 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2
20.0%
지 2
20.0%
역 2
20.0%
공 1
10.0%
근 1
10.0%
린 1
10.0%
상 1
10.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFG125200198600000119860507<NA>1영업/정상13영업중<NA><NA><NA><NA>523-6176<NA>137869서울특별시 서초구 서초동 ****-*번지 대한약사회빌딩 지하***호서울특별시 서초구 효령로 *** (서초동,대한약사회빌딩 지하***호)<NA>광성문화인쇄사2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>200409.753335442271.405384인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFG125200199000000119900517<NA>1영업/정상13영업중<NA><NA><NA><NA>532-4292<NA>137913서울특별시 서초구 서초동 ****-*번지 서초프라자빌딩***호서울특별시 서초구 서초중앙로**길 ** (서초동,서초프라자빌딩***호)<NA>성문종합원색2017-03-23 10:58:31I2018-08-31 23:59:59.0<NA>201643.318591443772.466476인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFG125200199400000219941206<NA>3폐업3폐업19981022<NA><NA><NA>592-6492<NA>137882서울특별시 서초구 서초동 ****-*번지 서초중앙프라자 ***호서울특별시 서초구 서초중앙로**길 ** (서초동,서초중앙프라자 ***호)<NA>통신저널사2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>201643.318591443772.466476인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33210000CDFG125200199500000119950602<NA>1영업/정상13영업중<NA><NA><NA><NA>579`-2118<NA>137894서울특별시 서초구 양재동 ***-**번지 남아빌딩 *층서울특별시 서초구 마방로 **-* (양재동,남아빌딩 *층)<NA>(주)송림출판2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>203697.136245441553.771961인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000CDFG125200199500000219950714<NA>1영업/정상13영업중<NA><NA><NA><NA>597-7587<NA>137869서울특별시 서초구 서초동 ****-***번지 ***호서울특별시 서초구 명달로 ** (서초동,***호)<NA>베스트기획2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>200459.434922441987.333382인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53210000CDFG125200199500000319951019<NA>1영업/정상13영업중<NA><NA><NA><NA>552-1515<NA>137855서울특별시 서초구 서초동 ****-*번지 우신빌딩 ***호서울특별시 서초구 강남대로 *** (서초동,우신빌딩 ***호)<NA>서광사2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>202163.802235444420.914005인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000CDFG125200199700000219970704<NA>1영업/정상13영업중<NA><NA><NA><NA>02-597-3646<NA><NA>서울특별시 서초구 서초동 ****-* 영림빌딩서울특별시 서초구 반포대로 **, 영림빌딩 B*층 (서초동)6657삼양애드2022-04-20 15:19:30U2021-12-03 22:03:00.0<NA>200954.495018443391.330044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFG12520019970000031997-05-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 **-** 창덕빌딩서울특별시 서초구 바우뫼로 ***, 창덕빌딩 지하*층 (양재동)6744그린토탈기획2023-02-03 14:34:28U2022-12-02 00:05:00.0<NA>203390.82428441806.993439<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFG125200199800000119980220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>137130서울특별시 서초구 양재동 ***-*번지 aT센터 지하*층서울특별시 서초구 강남대로 ** (양재동,aT센터 지하*층)<NA>현대문화인쇄사2018-08-10 10:26:56I2018-08-31 23:59:59.0<NA>203392.793461440676.37992인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFG125200199800000219980428<NA>1영업/정상13영업중<NA><NA><NA><NA>577-4641<NA>137895서울특별시 서초구 양재동 ***-*번지 백마빌딩 *층서울특별시 서초구 논현로**길 * (양재동,백마빌딩 *층)<NA>한림문화인쇄2003-04-18 11:32:29I2018-08-31 23:59:59.0<NA>203942.265087441597.886653인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1503210000CDFG125200202100000920100421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-453-7424<NA><NA>서울특별시 서초구 양재동 ***-* 우진빌딩서울특별시 서초구 언남**길 **, 우진빌딩 *층 ***호 (양재동)6776이케이커뮤니케이션2021-12-30 15:19:49I2022-01-01 00:22:41.0<NA>203735.488819441463.334006인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1513210000CDFG125200202200000120220125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 ***-** 문창빌딩서울특별시 서초구 동광로**길 *-*, 문창빌딩 지*, *층 (반포동)6589도서출판 역락2022-02-07 15:41:43U2022-02-09 02:40:00.0<NA>199962.732517443571.915225인쇄사출판인쇄업0<NA><NA>105.300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1523210000CDFG125200202200000220220210<NA>1영업/정상13영업중<NA><NA><NA><NA>02-585-7840<NA><NA>서울특별시 서초구 서초동 ****-** 서광빌딩서울특별시 서초구 사임당로**길 **, 서광빌딩 *층 (서초동)6641소명출판2022-07-13 17:29:48U2021-12-06 23:05:00.0<NA>201505.390169442931.100334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1533210000CDFG12520020220000032007-03-29<NA>3폐업3폐업2023-03-06<NA><NA><NA><NA><NA><NA>서울특별시 서초구 우면동 *** 호반 파크 *관서울특별시 서초구 양재대로*길 **-**, 호반 파크 *관 *~**층 (우면동)6768전자신문2023-03-06 14:39:55U2022-12-03 00:08:00.0<NA>201877.148669439736.663572<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1543210000CDFG125200202200000420180126<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6338-1704<NA><NA>서울특별시 서초구 신원동 ***서울특별시 서초구 청계산로 ***, ***호 (신원동)6802(주)헤드원컴퍼니2022-04-07 14:59:11I2021-12-04 00:09:00.0<NA>204984.0438241.0<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>
1553210000CDFG125200202200000519830124<NA>3폐업3폐업20220929<NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-** 정다운빌딩서울특별시 서초구 서초대로 ***, 정다운빌딩 (방배동)6588(주)약업신문2022-10-04 10:17:06U2021-10-31 00:06:00.0<NA>199465.692062442902.922011<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1563210000CDFG12520020230000012023-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 한일연립서울특별시 서초구 서초대로**길 *, 에이동 *층 ***호 (서초동, 한일연립)6604천일사2023-03-24 12:46:31I2022-12-02 22:06:00.0<NA>201245.326649443664.632673<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573210000CDFG12520020230000022023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 **-** V TOWER서울특별시 서초구 남부순환로***길 **, V TOWER *층 (양재동)6743주식회사 마스몬스터2023-07-17 13:58:53U2022-12-06 23:09:00.0<NA>203197.18687442273.214034<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583210000CDFG12520020230000032017-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* RM서초빌딩서울특별시 서초구 서초중앙로 **-*, RM서초빌딩 지하층 (서초동)6651(주)알엠소프트2023-06-16 12:52:39I2022-12-05 23:08:00.0<NA>201199.064909442819.494552<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593210000CDFG12520020240000012023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-6992<NA><NA>서울특별시 서초구 양재동 **-* 성희빌딩서울특별시 서초구 논현로**길 **, 성희빌딩 지하*층 (양재동)6745포레스트라이프 주식회사2024-01-04 14:11:23I2023-12-01 00:06:00.0<NA>203529.724676442047.318267<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>