Overview

Dataset statistics

Number of variables56
Number of observations6246
Missing cells157339
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory484.0 B

Variable types

Numeric9
Text8
DateTime4
Categorical16
Unsupported19

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16015/S/1/datasetView.do

Alerts

상세영업상태명 is highly imbalanced (67.3%)Imbalance
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
데이터갱신구분 is highly imbalanced (62.3%)Imbalance
주변환경명 is highly imbalanced (88.4%)Imbalance
건물용도명 is highly imbalanced (89.5%)Imbalance
지역구분명 is highly imbalanced (86.9%)Imbalance
인허가취소일자 has 6227 (99.7%) missing valuesMissing
폐업일자 has 4779 (76.5%) missing valuesMissing
재개업일자 has 6246 (100.0%) missing valuesMissing
전화번호 has 3583 (57.4%) missing valuesMissing
소재지면적 has 6246 (100.0%) missing valuesMissing
소재지우편번호 has 4191 (67.1%) missing valuesMissing
도로명주소 has 227 (3.6%) missing valuesMissing
도로명우편번호 has 2889 (46.3%) missing valuesMissing
업태구분명 has 6246 (100.0%) missing valuesMissing
좌표정보(X) has 172 (2.8%) missing valuesMissing
좌표정보(Y) has 172 (2.8%) missing valuesMissing
총층수 has 4400 (70.4%) missing valuesMissing
제작취급품목내용 has 1164 (18.6%) missing valuesMissing
시설면적 has 2003 (32.1%) missing valuesMissing
지상층수 has 4265 (68.3%) missing valuesMissing
지하층수 has 4586 (73.4%) missing valuesMissing
비상계단여부 has 6246 (100.0%) missing valuesMissing
비상구여부 has 6246 (100.0%) missing valuesMissing
자동환기여부 has 6246 (100.0%) missing valuesMissing
청소년실여부 has 6246 (100.0%) missing valuesMissing
특수조명여부 has 6246 (100.0%) missing valuesMissing
방음시설여부 has 6246 (100.0%) missing valuesMissing
비디오재생기명 has 6246 (100.0%) missing valuesMissing
조명시설유무 has 6246 (100.0%) missing valuesMissing
음향시설여부 has 6246 (100.0%) missing valuesMissing
편의시설여부 has 6246 (100.0%) missing valuesMissing
소방시설여부 has 6246 (100.0%) missing valuesMissing
기존게임업외업종명 has 6246 (100.0%) missing valuesMissing
제공게임물명 has 6246 (100.0%) missing valuesMissing
공연장형태구분명 has 6246 (100.0%) missing valuesMissing
품목명 has 6246 (100.0%) missing valuesMissing
최초등록시점 has 6246 (100.0%) missing valuesMissing
총층수 is highly skewed (γ1 = 29.14780693)Skewed
시설면적 is highly skewed (γ1 = 43.61907887)Skewed
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
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
총층수 has 1270 (20.3%) zerosZeros
시설면적 has 818 (13.1%) zerosZeros
지상층수 has 1248 (20.0%) zerosZeros
지하층수 has 1289 (20.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:35:42.916531
Analysis finished2024-05-11 05:35:46.241821
Duration3.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3159287.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:35:46.334329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13130000
median3180000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation71683.552
Coefficient of variation (CV)0.022689784
Kurtosis-0.10257744
Mean3159287.5
Median Absolute Deviation (MAD)40000
Skewness-1.1016945
Sum1.973291 × 1010
Variance5.1385316 × 109
MonotonicityNot monotonic
2024-05-11T14:35:46.498533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 1560
25.0%
3180000 794
12.7%
3210000 658
10.5%
3010000 529
 
8.5%
3160000 448
 
7.2%
3170000 388
 
6.2%
3130000 339
 
5.4%
3230000 203
 
3.3%
3020000 181
 
2.9%
3150000 168
 
2.7%
Other values (15) 978
15.7%
ValueCountFrequency (%)
3000000 83
 
1.3%
3010000 529
8.5%
3020000 181
 
2.9%
3030000 103
 
1.6%
3040000 71
 
1.1%
3050000 36
 
0.6%
3060000 44
 
0.7%
3070000 38
 
0.6%
3080000 36
 
0.6%
3090000 32
 
0.5%
ValueCountFrequency (%)
3240000 84
 
1.3%
3230000 203
 
3.3%
3220000 1560
25.0%
3210000 658
10.5%
3200000 147
 
2.4%
3190000 38
 
0.6%
3180000 794
12.7%
3170000 388
 
6.2%
3160000 448
 
7.2%
3150000 168
 
2.7%
Distinct1795
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
2024-05-11T14:35:46.790308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters124920
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

Unique793 ?
Unique (%)12.7%

Sample

1st rowCDFF2241082023000004
2nd rowCDFF2241082017000020
3rd rowCDFF2241082023000004
4th rowCDFF2241082017000020
5th rowCDFF2241082015000002
ValueCountFrequency (%)
cdff2241082008000001 23
 
0.4%
cdff2241082011000001 22
 
0.4%
cdff2241082023000001 22
 
0.4%
cdff2241082009000001 21
 
0.3%
cdff2241082012000001 21
 
0.3%
cdff2241082011000002 21
 
0.3%
cdff2241082021000001 21
 
0.3%
cdff2241082016000002 21
 
0.3%
cdff2241082006000001 21
 
0.3%
cdff2241082007000001 20
 
0.3%
Other values (1785) 6033
96.6%
2024-05-11T14:35:47.214558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43815
35.1%
2 21796
17.4%
F 12492
 
10.0%
1 12037
 
9.6%
4 7795
 
6.2%
8 7342
 
5.9%
C 6246
 
5.0%
D 6246
 
5.0%
3 1815
 
1.5%
9 1433
 
1.1%
Other values (3) 3903
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99936
80.0%
Uppercase Letter 24984
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43815
43.8%
2 21796
21.8%
1 12037
 
12.0%
4 7795
 
7.8%
8 7342
 
7.3%
3 1815
 
1.8%
9 1433
 
1.4%
5 1418
 
1.4%
6 1346
 
1.3%
7 1139
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 12492
50.0%
C 6246
25.0%
D 6246
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99936
80.0%
Latin 24984
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43815
43.8%
2 21796
21.8%
1 12037
 
12.0%
4 7795
 
7.8%
8 7342
 
7.3%
3 1815
 
1.8%
9 1433
 
1.4%
5 1418
 
1.4%
6 1346
 
1.3%
7 1139
 
1.1%
Latin
ValueCountFrequency (%)
F 12492
50.0%
C 6246
25.0%
D 6246
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43815
35.1%
2 21796
17.4%
F 12492
 
10.0%
1 12037
 
9.6%
4 7795
 
6.2%
8 7342
 
5.9%
C 6246
 
5.0%
D 6246
 
5.0%
3 1815
 
1.5%
9 1433
 
1.1%
Other values (3) 3903
 
3.1%
Distinct3638
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
Minimum1994-10-04 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:35:47.451750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:47.694266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing6227
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20111218
Minimum20080627
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:35:47.902049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080627
5-th percentile20080700
Q120080712
median20090427
Q320120610
95-th percentile20210302
Maximum20210302
Range129675
Interquartile range (IQR)39898

Descriptive statistics

Standard deviation44865.704
Coefficient of variation (CV)0.0022308795
Kurtosis1.0379087
Mean20111218
Median Absolute Deviation (MAD)9719
Skewness1.5186083
Sum3.8211315 × 108
Variance2.0129314 × 109
MonotonicityNot monotonic
2024-05-11T14:35:48.094991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20210302 2
 
< 0.1%
20081112 2
 
< 0.1%
20080709 2
 
< 0.1%
20080708 2
 
< 0.1%
20100721 1
 
< 0.1%
20141111 1
 
< 0.1%
20190311 1
 
< 0.1%
20130401 1
 
< 0.1%
20090427 1
 
< 0.1%
20080627 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 6227
99.7%
ValueCountFrequency (%)
20080627 1
< 0.1%
20080708 2
< 0.1%
20080709 2
< 0.1%
20080714 1
< 0.1%
20081016 1
< 0.1%
20081112 2
< 0.1%
20090427 1
< 0.1%
20100119 1
< 0.1%
20100721 1
< 0.1%
20101224 1
< 0.1%
ValueCountFrequency (%)
20210302 2
< 0.1%
20190311 1
< 0.1%
20141111 1
< 0.1%
20130401 1
< 0.1%
20110818 1
< 0.1%
20101224 1
< 0.1%
20100721 1
< 0.1%
20100119 1
< 0.1%
20090427 1
< 0.1%
20081112 2
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
1
4740 
3
1223 
4
 
158
5
 
125

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row5
5th row1

Common Values

ValueCountFrequency (%)
1 4740
75.9%
3 1223
 
19.6%
4 158
 
2.5%
5 125
 
2.0%

Length

2024-05-11T14:35:48.314496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.477865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4740
75.9%
3 1223
 
19.6%
4 158
 
2.5%
5 125
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
영업/정상
4740 
폐업
1223 
취소/말소/만료/정지/중지
 
158
제외/삭제/전출
 
125

Length

Max length14
Median length5
Mean length4.7002882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 4740
75.9%
폐업 1223
 
19.6%
취소/말소/만료/정지/중지 158
 
2.5%
제외/삭제/전출 125
 
2.0%

Length

2024-05-11T14:35:48.628027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:48.787526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4740
75.9%
폐업 1223
 
19.6%
취소/말소/만료/정지/중지 158
 
2.5%
제외/삭제/전출 125
 
2.0%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.613993
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:35:48.933524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3899105
Coefficient of variation (CV)0.46408763
Kurtosis6.2369393
Mean11.613993
Median Absolute Deviation (MAD)0
Skewness1.0872363
Sum72541
Variance29.051135
MonotonicityNot monotonic
2024-05-11T14:35:49.081928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 4738
75.9%
3 1223
 
19.6%
35 127
 
2.0%
15 125
 
2.0%
31 22
 
0.4%
25 6
 
0.1%
14 2
 
< 0.1%
33 2
 
< 0.1%
32 1
 
< 0.1%
ValueCountFrequency (%)
3 1223
 
19.6%
13 4738
75.9%
14 2
 
< 0.1%
15 125
 
2.0%
25 6
 
0.1%
31 22
 
0.4%
32 1
 
< 0.1%
33 2
 
< 0.1%
35 127
 
2.0%
ValueCountFrequency (%)
35 127
 
2.0%
33 2
 
< 0.1%
32 1
 
< 0.1%
31 22
 
0.4%
25 6
 
0.1%
15 125
 
2.0%
14 2
 
< 0.1%
13 4738
75.9%
3 1223
 
19.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
영업중
4738 
폐업
1223 
직권말소
 
127
전출
 
125
등록취소
 
22
Other values (4)
 
11

Length

Max length4
Median length3
Mean length2.8091579
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 4738
75.9%
폐업 1223
 
19.6%
직권말소 127
 
2.0%
전출 125
 
2.0%
등록취소 22
 
0.4%
영업정지 6
 
0.1%
전입 2
 
< 0.1%
지정취소 2
 
< 0.1%
신고취소 1
 
< 0.1%

Length

2024-05-11T14:35:49.293713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:49.488575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 4738
75.9%
폐업 1223
 
19.6%
직권말소 127
 
2.0%
전출 125
 
2.0%
등록취소 22
 
0.4%
영업정지 6
 
0.1%
전입 2
 
< 0.1%
지정취소 2
 
< 0.1%
신고취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1112
Distinct (%)75.8%
Missing4779
Missing (%)76.5%
Memory size48.9 KiB
Minimum2003-03-22 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:35:49.697107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:49.939340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
6240 
20120225
 
2
20081117
 
1
20060926
 
1
20100329
 
1

Length

Max length8
Median length4
Mean length4.0038425
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6240
99.9%
20120225 2
 
< 0.1%
20081117 1
 
< 0.1%
20060926 1
 
< 0.1%
20100329 1
 
< 0.1%
20110926 1
 
< 0.1%

Length

2024-05-11T14:35:50.182021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:50.348163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6240
99.9%
20120225 2
 
< 0.1%
20081117 1
 
< 0.1%
20060926 1
 
< 0.1%
20100329 1
 
< 0.1%
20110926 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
6240 
20120325
 
2
20081216
 
1
20061224
 
1
20100628
 
1

Length

Max length8
Median length4
Mean length4.0038425
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6240
99.9%
20120325 2
 
< 0.1%
20081216 1
 
< 0.1%
20061224 1
 
< 0.1%
20100628 1
 
< 0.1%
20111005 1
 
< 0.1%

Length

2024-05-11T14:35:50.552467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:50.794948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6240
99.9%
20120325 2
 
< 0.1%
20081216 1
 
< 0.1%
20061224 1
 
< 0.1%
20100628 1
 
< 0.1%
20111005 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

전화번호
Text

MISSING 

Distinct2550
Distinct (%)95.8%
Missing3583
Missing (%)57.4%
Memory size48.9 KiB
2024-05-11T14:35:51.229239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.158092
Min length7

Characters and Unicode

Total characters27051
Distinct characters16
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2448 ?
Unique (%)91.9%

Sample

1st row02-582-1330
2nd row02-869-1222
3rd row02-869-1222
4th row02-869-1222
5th row02-869-1222
ValueCountFrequency (%)
02-869-1222 4
 
0.2%
2278-2283 4
 
0.2%
02-2632-0488 3
 
0.1%
2278-4704 3
 
0.1%
2278-0118 3
 
0.1%
02-567-6644 3
 
0.1%
762-3866 3
 
0.1%
569-2227 3
 
0.1%
2272-0712 3
 
0.1%
796-1406 2
 
0.1%
Other values (2540) 2632
98.8%
2024-05-11T14:35:51.909158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3853
14.2%
- 3791
14.0%
2 3764
13.9%
7 2506
9.3%
5 2298
8.5%
6 2082
7.7%
3 1933
7.1%
4 1832
6.8%
1 1814
6.7%
8 1794
6.6%
Other values (6) 1384
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23231
85.9%
Dash Punctuation 3791
 
14.0%
Close Punctuation 17
 
0.1%
Math Symbol 9
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3853
16.6%
2 3764
16.2%
7 2506
10.8%
5 2298
9.9%
6 2082
9.0%
3 1933
8.3%
4 1832
7.9%
1 1814
7.8%
8 1794
7.7%
9 1355
 
5.8%
Math Symbol
ValueCountFrequency (%)
~ 8
88.9%
= 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3791
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3853
14.2%
- 3791
14.0%
2 3764
13.9%
7 2506
9.3%
5 2298
8.5%
6 2082
7.7%
3 1933
7.1%
4 1832
6.8%
1 1814
6.7%
8 1794
6.6%
Other values (6) 1384
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3853
14.2%
- 3791
14.0%
2 3764
13.9%
7 2506
9.3%
5 2298
8.5%
6 2082
7.7%
3 1933
7.1%
4 1832
6.8%
1 1814
6.7%
8 1794
6.6%
Other values (6) 1384
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

소재지우편번호
Text

MISSING 

Distinct671
Distinct (%)32.7%
Missing4191
Missing (%)67.1%
Memory size48.9 KiB
2024-05-11T14:35:52.421484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0024331
Min length6

Characters and Unicode

Total characters12335
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique374 ?
Unique (%)18.2%

Sample

1st row100340
2nd row150-723
3rd row110-524
4th row150-042
5th row100-340
ValueCountFrequency (%)
100340 184
 
9.0%
150723 113
 
5.5%
150042 52
 
2.5%
152848 52
 
2.5%
100848 36
 
1.8%
158050 35
 
1.7%
153803 25
 
1.2%
137876 18
 
0.9%
135924 17
 
0.8%
135840 15
 
0.7%
Other values (661) 1508
73.4%
2024-05-11T14:35:53.058225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2572
20.9%
0 1804
14.6%
3 1726
14.0%
8 1527
12.4%
5 1452
11.8%
7 906
 
7.3%
4 874
 
7.1%
2 664
 
5.4%
9 555
 
4.5%
6 250
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12330
> 99.9%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2572
20.9%
0 1804
14.6%
3 1726
14.0%
8 1527
12.4%
5 1452
11.8%
7 906
 
7.3%
4 874
 
7.1%
2 664
 
5.4%
9 555
 
4.5%
6 250
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12335
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2572
20.9%
0 1804
14.6%
3 1726
14.0%
8 1527
12.4%
5 1452
11.8%
7 906
 
7.3%
4 874
 
7.1%
2 664
 
5.4%
9 555
 
4.5%
6 250
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2572
20.9%
0 1804
14.6%
3 1726
14.0%
8 1527
12.4%
5 1452
11.8%
7 906
 
7.3%
4 874
 
7.1%
2 664
 
5.4%
9 555
 
4.5%
6 250
 
2.0%
Distinct4573
Distinct (%)73.3%
Missing7
Missing (%)0.1%
Memory size48.9 KiB
2024-05-11T14:35:53.462374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length30.334669
Min length13

Characters and Unicode

Total characters189258
Distinct characters587
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3882 ?
Unique (%)62.2%

Sample

1st row서울특별시 서초구 서초동 ****-* MK빌딩
2nd row서울특별시 영등포구 문래동*가 ** 문래 SK V* center
3rd row서울특별시 영등포구 대림동 ***-* 대림하우스
4th row서울특별시 구로구 구로동 **-* 다인빌딩 ***호
5th row서울특별시 영등포구 영등포동*가 **
ValueCountFrequency (%)
서울특별시 6234
18.2%
번지 4963
 
14.5%
2142
 
6.2%
강남구 1561
 
4.5%
1346
 
3.9%
1293
 
3.8%
영등포구 795
 
2.3%
서초구 653
 
1.9%
역삼동 599
 
1.7%
당산동*가 586
 
1.7%
Other values (3114) 14146
41.2%
2024-05-11T14:35:54.329654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 37982
20.1%
32255
17.0%
7681
 
4.1%
7185
 
3.8%
6816
 
3.6%
6332
 
3.3%
6291
 
3.3%
6239
 
3.3%
6234
 
3.3%
- 5642
 
3.0%
Other values (577) 66601
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111652
59.0%
Other Punctuation 38145
 
20.2%
Space Separator 32255
 
17.0%
Dash Punctuation 5642
 
3.0%
Uppercase Letter 1046
 
0.6%
Lowercase Letter 168
 
0.1%
Decimal Number 141
 
0.1%
Open Punctuation 87
 
< 0.1%
Close Punctuation 87
 
< 0.1%
Math Symbol 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7681
 
6.9%
7185
 
6.4%
6816
 
6.1%
6332
 
5.7%
6291
 
5.6%
6239
 
5.6%
6234
 
5.6%
5471
 
4.9%
4983
 
4.5%
2789
 
2.5%
Other values (507) 51631
46.2%
Uppercase Letter
ValueCountFrequency (%)
B 116
 
11.1%
C 110
 
10.5%
T 83
 
7.9%
A 80
 
7.6%
S 75
 
7.2%
I 66
 
6.3%
E 64
 
6.1%
K 64
 
6.1%
M 48
 
4.6%
D 43
 
4.1%
Other values (15) 297
28.4%
Lowercase Letter
ValueCountFrequency (%)
e 35
20.8%
r 19
11.3%
o 18
10.7%
n 13
 
7.7%
w 13
 
7.7%
c 11
 
6.5%
a 10
 
6.0%
s 8
 
4.8%
t 8
 
4.8%
h 7
 
4.2%
Other values (10) 26
15.5%
Decimal Number
ValueCountFrequency (%)
1 22
15.6%
2 21
14.9%
0 19
13.5%
4 17
12.1%
7 14
9.9%
6 12
8.5%
3 11
7.8%
5 10
7.1%
8 9
6.4%
9 6
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 37982
99.6%
, 134
 
0.4%
. 12
 
< 0.1%
& 6
 
< 0.1%
/ 5
 
< 0.1%
@ 3
 
< 0.1%
? 2
 
< 0.1%
' 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
7
53.8%
6
46.2%
Space Separator
ValueCountFrequency (%)
32255
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5642
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111648
59.0%
Common 76379
40.4%
Latin 1227
 
0.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7681
 
6.9%
7185
 
6.4%
6816
 
6.1%
6332
 
5.7%
6291
 
5.6%
6239
 
5.6%
6234
 
5.6%
5471
 
4.9%
4983
 
4.5%
2789
 
2.5%
Other values (505) 51627
46.2%
Latin
ValueCountFrequency (%)
B 116
 
9.5%
C 110
 
9.0%
T 83
 
6.8%
A 80
 
6.5%
S 75
 
6.1%
I 66
 
5.4%
E 64
 
5.2%
K 64
 
5.2%
M 48
 
3.9%
D 43
 
3.5%
Other values (37) 478
39.0%
Common
ValueCountFrequency (%)
* 37982
49.7%
32255
42.2%
- 5642
 
7.4%
, 134
 
0.2%
( 87
 
0.1%
) 87
 
0.1%
1 22
 
< 0.1%
~ 22
 
< 0.1%
2 21
 
< 0.1%
0 19
 
< 0.1%
Other values (13) 108
 
0.1%
Han
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111648
59.0%
ASCII 77593
41.0%
Number Forms 13
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 37982
49.0%
32255
41.6%
- 5642
 
7.3%
, 134
 
0.2%
B 116
 
0.1%
C 110
 
0.1%
( 87
 
0.1%
) 87
 
0.1%
T 83
 
0.1%
A 80
 
0.1%
Other values (58) 1017
 
1.3%
Hangul
ValueCountFrequency (%)
7681
 
6.9%
7185
 
6.4%
6816
 
6.1%
6332
 
5.7%
6291
 
5.6%
6239
 
5.6%
6234
 
5.6%
5471
 
4.9%
4983
 
4.5%
2789
 
2.5%
Other values (505) 51627
46.2%
Number Forms
ValueCountFrequency (%)
7
53.8%
6
46.2%
CJK
ValueCountFrequency (%)
2
50.0%
2
50.0%

도로명주소
Text

MISSING 

Distinct5023
Distinct (%)83.5%
Missing227
Missing (%)3.6%
Memory size48.9 KiB
2024-05-11T14:35:54.778523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length57
Mean length36.842665
Min length21

Characters and Unicode

Total characters221756
Distinct characters614
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4477 ?
Unique (%)74.4%

Sample

1st row서울특별시 서초구 서초대로**길 **, MK빌딩 **층 (서초동)
2nd row서울특별시 영등포구 선유로*길 **, 문래 SK V* center ****호 (문래동*가)
3rd row서울특별시 영등포구 대림로 ***, 대림하우스 ***호 (대림동)
4th row서울특별시 구로구 구로중앙로**길 ** (구로동)
5th row서울특별시 영등포구 영신로**길 *, *층 (영등포동*가)
ValueCountFrequency (%)
6171
 
15.8%
서울특별시 6015
 
15.4%
2728
 
7.0%
2139
 
5.5%
강남구 1540
 
3.9%
영등포구 771
 
2.0%
서초구 631
 
1.6%
영등포로 532
 
1.4%
중구 476
 
1.2%
구로구 440
 
1.1%
Other values (4446) 17577
45.0%
2024-05-11T14:35:55.482759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 37209
 
16.8%
35762
 
16.1%
7680
 
3.5%
, 7238
 
3.3%
7180
 
3.2%
7137
 
3.2%
7080
 
3.2%
6138
 
2.8%
) 6097
 
2.7%
( 6097
 
2.7%
Other values (604) 94138
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126758
57.2%
Other Punctuation 44475
 
20.1%
Space Separator 35762
 
16.1%
Close Punctuation 6097
 
2.7%
Open Punctuation 6097
 
2.7%
Uppercase Letter 1254
 
0.6%
Dash Punctuation 912
 
0.4%
Decimal Number 173
 
0.1%
Lowercase Letter 169
 
0.1%
Math Symbol 41
 
< 0.1%
Other values (2) 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7680
 
6.1%
7180
 
5.7%
7137
 
5.6%
7080
 
5.6%
6138
 
4.8%
6088
 
4.8%
6022
 
4.8%
6015
 
4.7%
3574
 
2.8%
2966
 
2.3%
Other values (530) 66878
52.8%
Uppercase Letter
ValueCountFrequency (%)
B 160
12.8%
C 121
 
9.6%
A 112
 
8.9%
T 91
 
7.3%
S 83
 
6.6%
E 77
 
6.1%
I 70
 
5.6%
K 68
 
5.4%
M 52
 
4.1%
D 46
 
3.7%
Other values (16) 374
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 32
18.9%
r 18
10.7%
o 17
10.1%
n 13
7.7%
w 12
 
7.1%
c 11
 
6.5%
a 10
 
5.9%
s 9
 
5.3%
h 8
 
4.7%
t 8
 
4.7%
Other values (11) 31
18.3%
Decimal Number
ValueCountFrequency (%)
1 40
23.1%
2 29
16.8%
0 22
12.7%
3 21
12.1%
4 14
 
8.1%
6 13
 
7.5%
7 12
 
6.9%
9 9
 
5.2%
5 7
 
4.0%
8 6
 
3.5%
Other Punctuation
ValueCountFrequency (%)
* 37209
83.7%
, 7238
 
16.3%
. 12
 
< 0.1%
/ 5
 
< 0.1%
& 5
 
< 0.1%
? 2
 
< 0.1%
@ 2
 
< 0.1%
' 1
 
< 0.1%
! 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
9
52.9%
8
47.1%
Space Separator
ValueCountFrequency (%)
35762
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6097
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6097
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 912
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126754
57.2%
Common 93558
42.2%
Latin 1440
 
0.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7680
 
6.1%
7180
 
5.7%
7137
 
5.6%
7080
 
5.6%
6138
 
4.8%
6088
 
4.8%
6022
 
4.8%
6015
 
4.7%
3574
 
2.8%
2966
 
2.3%
Other values (528) 66874
52.8%
Latin
ValueCountFrequency (%)
B 160
 
11.1%
C 121
 
8.4%
A 112
 
7.8%
T 91
 
6.3%
S 83
 
5.8%
E 77
 
5.3%
I 70
 
4.9%
K 68
 
4.7%
M 52
 
3.6%
D 46
 
3.2%
Other values (39) 560
38.9%
Common
ValueCountFrequency (%)
* 37209
39.8%
35762
38.2%
, 7238
 
7.7%
) 6097
 
6.5%
( 6097
 
6.5%
- 912
 
1.0%
~ 41
 
< 0.1%
1 40
 
< 0.1%
2 29
 
< 0.1%
0 22
 
< 0.1%
Other values (15) 111
 
0.1%
Han
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126754
57.2%
ASCII 94981
42.8%
Number Forms 17
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 37209
39.2%
35762
37.7%
, 7238
 
7.6%
) 6097
 
6.4%
( 6097
 
6.4%
- 912
 
1.0%
B 160
 
0.2%
C 121
 
0.1%
A 112
 
0.1%
T 91
 
0.1%
Other values (62) 1182
 
1.2%
Hangul
ValueCountFrequency (%)
7680
 
6.1%
7180
 
5.7%
7137
 
5.6%
7080
 
5.6%
6138
 
4.8%
6088
 
4.8%
6022
 
4.8%
6015
 
4.7%
3574
 
2.8%
2966
 
2.3%
Other values (528) 66874
52.8%
Number Forms
ValueCountFrequency (%)
9
52.9%
8
47.1%
CJK
ValueCountFrequency (%)
2
50.0%
2
50.0%

도로명우편번호
Text

MISSING 

Distinct1227
Distinct (%)36.6%
Missing2889
Missing (%)46.3%
Memory size48.9 KiB
2024-05-11T14:35:56.033504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0393208
Min length5

Characters and Unicode

Total characters16917
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique752 ?
Unique (%)22.4%

Sample

1st row06612
2nd row07281
3rd row07410
4th row08302
5th row07251
ValueCountFrequency (%)
07264 188
 
5.6%
04545 75
 
2.2%
08390 55
 
1.6%
08381 51
 
1.5%
08378 50
 
1.5%
08506 39
 
1.2%
08377 34
 
1.0%
08389 31
 
0.9%
08380 29
 
0.9%
06159 26
 
0.8%
Other values (1217) 2779
82.8%
2024-05-11T14:35:57.064517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4332
25.6%
6 1945
11.5%
8 1525
 
9.0%
7 1480
 
8.7%
3 1438
 
8.5%
5 1392
 
8.2%
1 1336
 
7.9%
2 1296
 
7.7%
4 1289
 
7.6%
9 881
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16914
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4332
25.6%
6 1945
11.5%
8 1525
 
9.0%
7 1480
 
8.8%
3 1438
 
8.5%
5 1392
 
8.2%
1 1336
 
7.9%
2 1296
 
7.7%
4 1289
 
7.6%
9 881
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16917
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4332
25.6%
6 1945
11.5%
8 1525
 
9.0%
7 1480
 
8.7%
3 1438
 
8.5%
5 1392
 
8.2%
1 1336
 
7.9%
2 1296
 
7.7%
4 1289
 
7.6%
9 881
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4332
25.6%
6 1945
11.5%
8 1525
 
9.0%
7 1480
 
8.7%
3 1438
 
8.5%
5 1392
 
8.2%
1 1336
 
7.9%
2 1296
 
7.7%
4 1289
 
7.6%
9 881
 
5.2%
Distinct5858
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
2024-05-11T14:35:57.771992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length31
Mean length7.9048991
Min length1

Characters and Unicode

Total characters49374
Distinct characters811
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5522 ?
Unique (%)88.4%

Sample

1st row주식회사 브릴라
2nd row매머드PC
3rd row(주)에스디소프트
4th row(주)에스디소프트
5th row우성전자
ValueCountFrequency (%)
주식회사 809
 
10.5%
소프트 81
 
1.1%
54
 
0.7%
스튜디오 34
 
0.4%
게임즈 24
 
0.3%
엔터테인먼트 21
 
0.3%
soft 21
 
0.3%
games 18
 
0.2%
유한회사 14
 
0.2%
studio 12
 
0.2%
Other values (6044) 6602
85.9%
2024-05-11T14:35:58.816159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3835
 
7.8%
) 3196
 
6.5%
( 3190
 
6.5%
1756
 
3.6%
1662
 
3.4%
1560
 
3.2%
1445
 
2.9%
1004
 
2.0%
936
 
1.9%
860
 
1.7%
Other values (801) 29930
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38518
78.0%
Close Punctuation 3196
 
6.5%
Open Punctuation 3190
 
6.5%
Uppercase Letter 1453
 
2.9%
Space Separator 1445
 
2.9%
Lowercase Letter 1222
 
2.5%
Other Punctuation 148
 
0.3%
Decimal Number 148
 
0.3%
Dash Punctuation 29
 
0.1%
Other Symbol 21
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3835
 
10.0%
1756
 
4.6%
1662
 
4.3%
1560
 
4.1%
1004
 
2.6%
936
 
2.4%
860
 
2.2%
842
 
2.2%
832
 
2.2%
677
 
1.8%
Other values (725) 24554
63.7%
Uppercase Letter
ValueCountFrequency (%)
S 129
 
8.9%
E 98
 
6.7%
T 98
 
6.7%
O 90
 
6.2%
G 88
 
6.1%
M 84
 
5.8%
A 80
 
5.5%
N 77
 
5.3%
C 75
 
5.2%
P 64
 
4.4%
Other values (16) 570
39.2%
Lowercase Letter
ValueCountFrequency (%)
e 143
11.7%
o 133
10.9%
a 104
 
8.5%
t 100
 
8.2%
n 96
 
7.9%
i 96
 
7.9%
s 72
 
5.9%
r 72
 
5.9%
m 59
 
4.8%
d 46
 
3.8%
Other values (15) 301
24.6%
Decimal Number
ValueCountFrequency (%)
2 34
23.0%
0 25
16.9%
1 21
14.2%
3 18
12.2%
5 13
 
8.8%
9 11
 
7.4%
4 8
 
5.4%
7 7
 
4.7%
6 6
 
4.1%
8 5
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 95
64.2%
& 32
 
21.6%
, 13
 
8.8%
? 6
 
4.1%
* 1
 
0.7%
' 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
1
33.3%
~ 1
33.3%
+ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 3196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3190
100.0%
Space Separator
ValueCountFrequency (%)
1445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Symbol
ValueCountFrequency (%)
21
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38533
78.0%
Common 8159
 
16.5%
Latin 2676
 
5.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3835
 
10.0%
1756
 
4.6%
1662
 
4.3%
1560
 
4.0%
1004
 
2.6%
936
 
2.4%
860
 
2.2%
842
 
2.2%
832
 
2.2%
677
 
1.8%
Other values (720) 24569
63.8%
Latin
ValueCountFrequency (%)
e 143
 
5.3%
o 133
 
5.0%
S 129
 
4.8%
a 104
 
3.9%
t 100
 
3.7%
E 98
 
3.7%
T 98
 
3.7%
n 96
 
3.6%
i 96
 
3.6%
O 90
 
3.4%
Other values (42) 1589
59.4%
Common
ValueCountFrequency (%)
) 3196
39.2%
( 3190
39.1%
1445
17.7%
. 95
 
1.2%
2 34
 
0.4%
& 32
 
0.4%
- 29
 
0.4%
0 25
 
0.3%
1 21
 
0.3%
3 18
 
0.2%
Other values (13) 74
 
0.9%
Han
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38512
78.0%
ASCII 10833
 
21.9%
None 21
 
< 0.1%
CJK 6
 
< 0.1%
Arrows 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3835
 
10.0%
1756
 
4.6%
1662
 
4.3%
1560
 
4.1%
1004
 
2.6%
936
 
2.4%
860
 
2.2%
842
 
2.2%
832
 
2.2%
677
 
1.8%
Other values (719) 24548
63.7%
ASCII
ValueCountFrequency (%)
) 3196
29.5%
( 3190
29.4%
1445
13.3%
e 143
 
1.3%
o 133
 
1.2%
S 129
 
1.2%
a 104
 
1.0%
t 100
 
0.9%
E 98
 
0.9%
T 98
 
0.9%
Other values (63) 2197
20.3%
None
ValueCountFrequency (%)
21
100.0%
Arrows
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct6240
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
Minimum2006-02-14 14:11:04
Maximum2024-05-09 17:40:39
2024-05-11T14:35:59.115288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:35:59.365010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
I
5348 
U
896 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5348
85.6%
U 896
 
14.3%
D 2
 
< 0.1%

Length

2024-05-11T14:35:59.602684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:59.777992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5348
85.6%
u 896
 
14.3%
d 2
 
< 0.1%
Distinct1012
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:36:00.094757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:00.319944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3434
Distinct (%)56.5%
Missing172
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean197945.06
Minimum174744
Maximum215527.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:00.557320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174744
5-th percentile189052.56
Q1190662.78
median199526.42
Q3203284.36
95-th percentile207592.7
Maximum215527.72
Range40783.724
Interquartile range (IQR)12621.578

Descriptive statistics

Standard deviation6628.8583
Coefficient of variation (CV)0.033488374
Kurtosis-1.149294
Mean197945.06
Median Absolute Deviation (MAD)5195.928
Skewness-0.081028334
Sum1.2023183 × 109
Variance43941763
MonotonicityNot monotonic
2024-05-11T14:36:00.812385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190555.768991595 513
 
8.2%
199526.416139264 192
 
3.1%
199521.200809167 110
 
1.8%
199534.329650967 38
 
0.6%
189538.020935968 36
 
0.6%
190680.536850936 25
 
0.4%
189855.433985731 21
 
0.3%
191020.264430044 21
 
0.3%
189055.138252216 19
 
0.3%
190779.824680954 18
 
0.3%
Other values (3424) 5081
81.3%
(Missing) 172
 
2.8%
ValueCountFrequency (%)
174743.997666667 1
< 0.1%
180320.144698501 1
< 0.1%
181280.865658 1
< 0.1%
182849.74719959 1
< 0.1%
182863.20722894 2
< 0.1%
182872.579435573 1
< 0.1%
182933.115073744 1
< 0.1%
183142.527491881 1
< 0.1%
183173.615351883 1
< 0.1%
183223.23936311 1
< 0.1%
ValueCountFrequency (%)
215527.721278 1
< 0.1%
215235.910911 1
< 0.1%
215144.766442481 1
< 0.1%
215072.488687068 1
< 0.1%
213659.92122223 1
< 0.1%
213444.564664263 1
< 0.1%
213003.492279052 1
< 0.1%
212983.465961032 1
< 0.1%
212873.537128941 1
< 0.1%
212862.73508821 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3434
Distinct (%)56.5%
Missing172
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean446469.2
Minimum432911.45
Maximum465134.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:01.060035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum432911.45
5-th percentile441709.03
Q1443373.69
median445761.47
Q3448725.08
95-th percentile453238.15
Maximum465134.1
Range32222.65
Interquartile range (IQR)5351.3905

Descriptive statistics

Standard deviation4068.5661
Coefficient of variation (CV)0.0091127586
Kurtosis1.6864351
Mean446469.2
Median Absolute Deviation (MAD)2563.9596
Skewness1.1269124
Sum2.7118539 × 109
Variance16553230
MonotonicityNot monotonic
2024-05-11T14:36:01.319715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446698.814322782 513
 
8.2%
451693.211256949 192
 
3.1%
451751.424132583 110
 
1.8%
451608.222852119 38
 
0.6%
441982.427934953 36
 
0.6%
442392.645303533 25
 
0.4%
453614.583448105 21
 
0.3%
442460.919021593 21
 
0.3%
441958.334400683 19
 
0.3%
442527.527966789 18
 
0.3%
Other values (3424) 5081
81.3%
(Missing) 172
 
2.8%
ValueCountFrequency (%)
432911.451582184 1
 
< 0.1%
437280.574150819 1
 
< 0.1%
437633.256208734 1
 
< 0.1%
437899.830896583 1
 
< 0.1%
437901.086256157 1
 
< 0.1%
437914.06299827 5
0.1%
438463.195291656 1
 
< 0.1%
438720.679251839 1
 
< 0.1%
438827.143732711 1
 
< 0.1%
439023.167125842 2
 
< 0.1%
ValueCountFrequency (%)
465134.101701726 1
< 0.1%
464199.048415229 2
< 0.1%
464103.765403539 1
< 0.1%
464099.692139359 1
< 0.1%
464080.593904719 1
< 0.1%
464018.019728157 1
< 0.1%
463892.861101303 1
< 0.1%
463669.715490233 1
< 0.1%
463642.597417779 1
< 0.1%
463573.102150294 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
게임물제작업
5488 
<NA>
758 

Length

Max length6
Median length6
Mean length5.7572847
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 5488
87.9%
<NA> 758
 
12.1%

Length

2024-05-11T14:36:01.649600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:01.844146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 5488
87.9%
na 758
 
12.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
유통관련업
5488 
<NA>
758 

Length

Max length5
Median length5
Mean length4.8786423
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 5488
87.9%
<NA> 758
 
12.1%

Length

2024-05-11T14:36:02.034741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:02.258513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 5488
87.9%
na 758
 
12.1%

총층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct36
Distinct (%)2.0%
Missing4400
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean3.7860238
Minimum0
Maximum509
Zeros1270
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:02.460646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile18
Maximum509
Range509
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.421951
Coefficient of variation (CV)3.5451311
Kurtosis1088.9277
Mean3.7860238
Median Absolute Deviation (MAD)0
Skewness29.147807
Sum6989
Variance180.14877
MonotonicityNot monotonic
2024-05-11T14:36:02.669072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 1270
 
20.3%
5 63
 
1.0%
14 51
 
0.8%
15 51
 
0.8%
6 44
 
0.7%
10 42
 
0.7%
4 40
 
0.6%
8 33
 
0.5%
7 27
 
0.4%
18 26
 
0.4%
Other values (26) 199
 
3.2%
(Missing) 4400
70.4%
ValueCountFrequency (%)
0 1270
20.3%
1 11
 
0.2%
2 11
 
0.2%
3 20
 
0.3%
4 40
 
0.6%
5 63
 
1.0%
6 44
 
0.7%
7 27
 
0.4%
8 33
 
0.5%
9 21
 
0.3%
ValueCountFrequency (%)
509 1
 
< 0.1%
43 1
 
< 0.1%
39 1
 
< 0.1%
36 2
< 0.1%
35 1
 
< 0.1%
32 1
 
< 0.1%
30 3
< 0.1%
28 3
< 0.1%
27 1
 
< 0.1%
26 4
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5987 
기타
 
197
주택가주변
 
27
아파트지역
 
19
유흥업소밀집지역
 
9

Length

Max length8
Median length4
Mean length3.9545309
Min length2

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> 5987
95.9%
기타 197
 
3.2%
주택가주변 27
 
0.4%
아파트지역 19
 
0.3%
유흥업소밀집지역 9
 
0.1%
학교정화(상대) 7
 
0.1%

Length

2024-05-11T14:36:02.912866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:03.143342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5987
95.9%
기타 197
 
3.2%
주택가주변 27
 
0.4%
아파트지역 19
 
0.3%
유흥업소밀집지역 9
 
0.1%
학교정화(상대 7
 
0.1%
Distinct1002
Distinct (%)19.7%
Missing1164
Missing (%)18.6%
Memory size48.9 KiB
2024-05-11T14:36:03.494002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length5.6780795
Min length1

Characters and Unicode

Total characters28856
Distinct characters337
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)16.5%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 2128
32.6%
모바일게임 459
 
7.0%
게임 439
 
6.7%
온라인게임 263
 
4.0%
모바일 236
 
3.6%
온라인 221
 
3.4%
소프트웨어 164
 
2.5%
아케이드 151
 
2.3%
게임기 143
 
2.2%
132
 
2.0%
Other values (760) 2199
33.6%
2024-05-11T14:36:04.144431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4878
16.9%
4877
16.9%
2505
 
8.7%
1454
 
5.0%
954
 
3.3%
952
 
3.3%
949
 
3.3%
839
 
2.9%
796
 
2.8%
788
 
2.7%
Other values (327) 9864
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25614
88.8%
Space Separator 1454
 
5.0%
Other Punctuation 674
 
2.3%
Uppercase Letter 621
 
2.2%
Lowercase Letter 166
 
0.6%
Open Punctuation 141
 
0.5%
Close Punctuation 141
 
0.5%
Decimal Number 41
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4878
19.0%
4877
19.0%
2505
 
9.8%
954
 
3.7%
952
 
3.7%
949
 
3.7%
839
 
3.3%
796
 
3.1%
788
 
3.1%
489
 
1.9%
Other values (260) 7587
29.6%
Uppercase Letter
ValueCountFrequency (%)
P 174
28.0%
C 143
23.0%
R 92
14.8%
V 61
 
9.8%
M 31
 
5.0%
G 22
 
3.5%
D 19
 
3.1%
S 18
 
2.9%
A 16
 
2.6%
O 13
 
2.1%
Other values (13) 32
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
p 19
11.4%
a 17
10.2%
m 14
 
8.4%
c 14
 
8.4%
o 13
 
7.8%
e 12
 
7.2%
s 12
 
7.2%
i 11
 
6.6%
r 10
 
6.0%
g 9
 
5.4%
Other values (12) 35
21.1%
Other Punctuation
ValueCountFrequency (%)
, 600
89.0%
/ 43
 
6.4%
. 15
 
2.2%
? 8
 
1.2%
' 3
 
0.4%
: 2
 
0.3%
1
 
0.1%
& 1
 
0.1%
! 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 13
31.7%
2 6
14.6%
4 6
14.6%
0 5
 
12.2%
1 4
 
9.8%
8 3
 
7.3%
6 2
 
4.9%
7 1
 
2.4%
9 1
 
2.4%
Space Separator
ValueCountFrequency (%)
1454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25614
88.8%
Common 2455
 
8.5%
Latin 787
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4878
19.0%
4877
19.0%
2505
 
9.8%
954
 
3.7%
952
 
3.7%
949
 
3.7%
839
 
3.3%
796
 
3.1%
788
 
3.1%
489
 
1.9%
Other values (260) 7587
29.6%
Latin
ValueCountFrequency (%)
P 174
22.1%
C 143
18.2%
R 92
11.7%
V 61
 
7.8%
M 31
 
3.9%
G 22
 
2.8%
D 19
 
2.4%
p 19
 
2.4%
S 18
 
2.3%
a 17
 
2.2%
Other values (35) 191
24.3%
Common
ValueCountFrequency (%)
1454
59.2%
, 600
24.4%
( 141
 
5.7%
) 141
 
5.7%
/ 43
 
1.8%
. 15
 
0.6%
3 13
 
0.5%
? 8
 
0.3%
2 6
 
0.2%
4 6
 
0.2%
Other values (12) 28
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25613
88.8%
ASCII 3241
 
11.2%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4878
19.0%
4877
19.0%
2505
 
9.8%
954
 
3.7%
952
 
3.7%
949
 
3.7%
839
 
3.3%
796
 
3.1%
788
 
3.1%
489
 
1.9%
Other values (259) 7586
29.6%
ASCII
ValueCountFrequency (%)
1454
44.9%
, 600
18.5%
P 174
 
5.4%
C 143
 
4.4%
( 141
 
4.4%
) 141
 
4.4%
R 92
 
2.8%
V 61
 
1.9%
/ 43
 
1.3%
M 31
 
1.0%
Other values (56) 361
 
11.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1863
Distinct (%)43.9%
Missing2003
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean476.36136
Minimum0
Maximum583737
Zeros818
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:04.377587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.05
median33.06
Q3115.665
95-th percentile490.499
Maximum583737
Range583737
Interquartile range (IQR)114.615

Descriptive statistics

Standard deviation12807.781
Coefficient of variation (CV)26.886693
Kurtosis1954.2829
Mean476.36136
Median Absolute Deviation (MAD)33.06
Skewness43.619079
Sum2021201.2
Variance1.6403926 × 108
MonotonicityNot monotonic
2024-05-11T14:36:04.642171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 818
 
13.1%
1.0 243
 
3.9%
18.0 83
 
1.3%
10.0 71
 
1.1%
3.3 69
 
1.1%
30.0 55
 
0.9%
33.0 55
 
0.9%
15.0 51
 
0.8%
20.0 28
 
0.4%
66.0 26
 
0.4%
Other values (1853) 2744
43.9%
(Missing) 2003
32.1%
ValueCountFrequency (%)
0.0 818
13.1%
1.0 243
 
3.9%
1.1 3
 
< 0.1%
1.3 5
 
0.1%
1.35 1
 
< 0.1%
1.44 4
 
0.1%
1.5 1
 
< 0.1%
1.65 4
 
0.1%
2.0 7
 
0.1%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
583737.0 1
< 0.1%
572413.0 1
< 0.1%
133811.0 1
< 0.1%
84990.0 1
< 0.1%
41598.11 1
< 0.1%
19986.05 1
< 0.1%
11933.41 1
< 0.1%
11880.33 1
< 0.1%
11380.0 1
< 0.1%
8294.2 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)1.5%
Missing4265
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean2.5608279
Minimum0
Maximum40
Zeros1248
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:04.882139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile12
Maximum40
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5573739
Coefficient of variation (CV)1.7796487
Kurtosis7.9546405
Mean2.5608279
Median Absolute Deviation (MAD)0
Skewness2.4610505
Sum5073
Variance20.769657
MonotonicityNot monotonic
2024-05-11T14:36:05.112220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1248
 
20.0%
3 103
 
1.6%
4 92
 
1.5%
5 81
 
1.3%
6 76
 
1.2%
2 64
 
1.0%
8 52
 
0.8%
7 36
 
0.6%
9 32
 
0.5%
1 31
 
0.5%
Other values (20) 166
 
2.7%
(Missing) 4265
68.3%
ValueCountFrequency (%)
0 1248
20.0%
1 31
 
0.5%
2 64
 
1.0%
3 103
 
1.6%
4 92
 
1.5%
5 81
 
1.3%
6 76
 
1.2%
7 36
 
0.6%
8 52
 
0.8%
9 32
 
0.5%
ValueCountFrequency (%)
40 1
 
< 0.1%
35 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
26 1
 
< 0.1%
25 2
 
< 0.1%
23 1
 
< 0.1%
22 2
 
< 0.1%
21 3
 
< 0.1%
20 12
0.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.7%
Missing4586
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean0.43614458
Minimum0
Maximum17
Zeros1289
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-05-11T14:36:05.339226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0814428
Coefficient of variation (CV)2.4795512
Kurtosis45.247669
Mean0.43614458
Median Absolute Deviation (MAD)0
Skewness4.9231811
Sum724
Variance1.1695186
MonotonicityNot monotonic
2024-05-11T14:36:05.555356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1289
 
20.6%
1 178
 
2.8%
2 121
 
1.9%
3 29
 
0.5%
4 28
 
0.4%
5 8
 
0.1%
9 2
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 4586
73.4%
ValueCountFrequency (%)
0 1289
20.6%
1 178
 
2.8%
2 121
 
1.9%
3 29
 
0.5%
4 28
 
0.4%
5 8
 
0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
5 8
 
0.1%
4 28
 
0.4%
3 29
 
0.5%
2 121
1.9%
1 178
2.8%

건물용도명
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5893 
근린생활시설
 
209
사무실
 
71
기타
 
21
교육연구시설
 
11
Other values (12)
 
41

Length

Max length15
Median length4
Mean length4.0694845
Min length2

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5893
94.3%
근린생활시설 209
 
3.3%
사무실 71
 
1.1%
기타 21
 
0.3%
교육연구시설 11
 
0.2%
다가구용 주택(공동주택적용) 9
 
0.1%
판매시설 9
 
0.1%
아파트 6
 
0.1%
유통시설 4
 
0.1%
단독주택 3
 
< 0.1%
Other values (7) 10
 
0.2%

Length

2024-05-11T14:36:05.813886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5893
94.2%
근린생활시설 209
 
3.3%
사무실 71
 
1.1%
기타 21
 
0.3%
교육연구시설 11
 
0.2%
다가구용 9
 
0.1%
주택(공동주택적용 9
 
0.1%
판매시설 9
 
0.1%
아파트 6
 
0.1%
유통시설 4
 
0.1%
Other values (8) 13
 
0.2%

통로너비
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4910 
0
1336 

Length

Max length4
Median length4
Mean length3.3583093
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> 4910
78.6%
0 1336
 
21.4%

Length

2024-05-11T14:36:06.181978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:06.361898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4910
78.6%
0 1336
 
21.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4910 
0
1336 

Length

Max length4
Median length4
Mean length3.3583093
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> 4910
78.6%
0 1336
 
21.4%

Length

2024-05-11T14:36:06.565383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:06.763010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4910
78.6%
0 1336
 
21.4%

노래방실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4910 
0
1336 

Length

Max length4
Median length4
Mean length3.3583093
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> 4910
78.6%
0 1336
 
21.4%

Length

2024-05-11T14:36:07.334519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:07.495658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4910
78.6%
0 1336
 
21.4%

청소년실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4910 
0
1336 

Length

Max length4
Median length4
Mean length3.3583093
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> 4910
78.6%
0 1336
 
21.4%

Length

2024-05-11T14:36:07.696616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:07.848772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4910
78.6%
0 1336
 
21.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

총게임기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4910 
0
1336 

Length

Max length4
Median length4
Mean length3.3583093
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> 4910
78.6%
0 1336
 
21.4%

Length

2024-05-11T14:36:08.031798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:08.217267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4910
78.6%
0 1336
 
21.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6246
Missing (%)100.0%
Memory size55.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5854 
준공업지역
 
146
일반주거지역
 
80
일반상업지역
 
51
준주거지역
 
45
Other values (9)
 
70

Length

Max length6
Median length4
Mean length4.0786103
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5854
93.7%
준공업지역 146
 
2.3%
일반주거지역 80
 
1.3%
일반상업지역 51
 
0.8%
준주거지역 45
 
0.7%
주거지역 33
 
0.5%
상업지역 16
 
0.3%
근린상업지역 9
 
0.1%
일반공업지역 4
 
0.1%
중심상업지역 3
 
< 0.1%
Other values (4) 5
 
0.1%

Length

2024-05-11T14:36:08.402014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5854
93.7%
준공업지역 146
 
2.3%
일반주거지역 80
 
1.3%
일반상업지역 51
 
0.8%
준주거지역 45
 
0.7%
주거지역 33
 
0.5%
상업지역 16
 
0.3%
근린상업지역 9
 
0.1%
일반공업지역 4
 
0.1%
중심상업지역 3
 
< 0.1%
Other values (4) 5
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF22410820230000042018-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-582-1330<NA><NA>서울특별시 서초구 서초동 ****-* MK빌딩서울특별시 서초구 서초대로**길 **, MK빌딩 **층 (서초동)06612주식회사 브릴라2024-03-19 08:39:53U2023-12-02 22:01:00.0<NA>202143.464865444322.921686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13180000CDFF22410820170000202017-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 ** 문래 SK V* center서울특별시 영등포구 선유로*길 **, 문래 SK V* center ****호 (문래동*가)07281매머드PC2023-02-28 14:48:51U2022-12-03 00:03:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23180000CDFF22410820230000042017-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-869-1222<NA><NA>서울특별시 영등포구 대림동 ***-* 대림하우스서울특별시 영등포구 대림로 ***, 대림하우스 ***호 (대림동)07410(주)에스디소프트2023-03-07 13:30:41I2022-12-03 00:09:00.0<NA>191008.421514443923.872118<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF22410820170000202017-11-08<NA>5제외/삭제/전출15전출2023-03-07<NA><NA><NA>02-869-1222<NA><NA>서울특별시 구로구 구로동 **-* 다인빌딩 ***호서울특별시 구로구 구로중앙로**길 ** (구로동)08302(주)에스디소프트2023-03-07 13:13:03U2022-12-03 00:09:00.0<NA>190418.759352443803.304336<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43180000CDFF22410820150000022015-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 **서울특별시 영등포구 영신로**길 *, *층 (영등포동*가)07251우성전자2023-03-07 14:05:31U2022-12-03 00:09:00.0<NA>191279.885047446536.965434<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53180000CDFF22410820230000032013-10-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-869-1222<NA><NA>서울특별시 영등포구 대림동 ***-* 대림하우스서울특별시 영등포구 대림로 ***, 대림하우스 ***호 (대림동)07410(주)에스엠게임즈2023-03-07 14:14:38I2022-12-03 00:09:00.0<NA>191008.421514443923.872118<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFF22410820130000482013-10-02<NA>5제외/삭제/전출15전출2023-03-07<NA><NA><NA>02-869-1222<NA><NA>서울특별시 구로구 구로동 **-* 다인빌딩 ***호서울특별시 구로구 구로중앙로**길 **, ***호 (구로동, 다인빌딩)08302(주)에스엠게임즈2023-03-07 13:12:08U2022-12-03 00:09:00.0<NA>190418.759352443803.304336<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF22410820190000032019-03-15<NA>5제외/삭제/전출15전출2023-03-09<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 *** 광화문빌딩 ****호서울특별시 종로구 세종대로 ***, 광화문빌딩 ****호 (세종로)03186리얼모노2023-03-09 10:18:41U2022-12-02 23:01:00.0<NA>197836.220312451932.366737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF22410820140000812012-11-15<NA>5제외/삭제/전출15전출2023-03-09<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-*서울특별시 강남구 삼성로 *** (삼성동)06168(주)인터파크2023-03-09 17:38:21U2022-12-02 23:01:00.0<NA>204914.532476445103.936441<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFF22410820230000062023-03-10<NA>5제외/삭제/전출15전출2024-01-30<NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-** 로즈빌라서울특별시 서초구 동산로**길 **, 로즈빌라 (양재동)06790와이디소프트(YD Soft)2024-01-30 15:20:20U2023-12-02 00:01:00.0<NA>204158.14418440974.953762<NA><NA><NA><NA><NA><NA><NA><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
62363180000CDFF224108201900000320190218<NA>3폐업3폐업20220622<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-* 영등포유통상가 *층 나열 **호서울특별시 영등포구 영등포로 ***, 영등포유통상가 *층 나열 **호 (당산동*가)07264엄지시스템2022-06-22 15:17:51U2021-12-05 22:04:00.0<NA>190555.768992446698.814323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62373140000CDFF224108202000000420120927<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 목동중앙북로 ***, *층 (목동)07971다다소프트(주)2022-06-22 10:09:54U2021-12-05 22:04:00.0<NA>188931.638471449327.860339<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62383210000CDFF224108202100000120171012<NA>3폐업3폐업20220623<NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-* 가람빌딩서울특별시 서초구 강남대로 **, 가람빌딩 *층 (양재동)06778주식회사 클래피게임즈2022-06-23 13:10:02U2021-12-05 22:05:00.0<NA>203393.472504441115.685683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62393170000CDFF224108201600001720080624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 제이플라츠서울특별시 금천구 가산디지털*로 ***, 제이플라츠 ***~***호 (가산동)08502(주)모비릭스2022-06-23 14:28:17U2021-12-05 22:05:00.0<NA>189452.382474442205.867458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62403220000CDFF224108202200002320220627<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-8788<NA><NA>서울특별시 강남구 논현동 ***-*서울특별시 강남구 학동로**길 ** (논현동)06113(주)더퓨쳐컴퍼니2022-06-27 10:12:43I2021-12-05 22:09:00.0<NA>202304.273354445354.699738<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62413210000CDFF22410820220000072022-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 강남 MAIN TOWER서울특별시 서초구 강남대로 ***, 강남 MAIN TOWER *층 (서초동)06729(주) 아키핀2024-02-27 13:43:11U2023-12-01 22:09:00.0<NA>202760.817265442855.50352<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62423030000CDFF224108202200000420220624<NA>1영업/정상13영업중<NA><NA><NA><NA>02-497-0090<NA><NA>서울특별시 성동구 성수동*가 ***-** 성수동복합시설서울특별시 성동구 성수일로*길 **, 성수동복합시설 ***호 (성수동*가)04794주식회사 베스트텍2022-06-24 12:25:31I2021-12-05 22:06:00.0<NA>204918.404734449229.499012<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62433220000CDFF224108202200002420220628<NA>5제외/삭제/전출15전출20221109<NA><NA><NA>070-7714-6979<NA><NA>서울특별시 강남구 삼성동 ***-** 삼성동 K타워서울특별시 강남구 테헤란로 ***, 삼성동 K타워 *층 (삼성동)06169(주)메타크래프트2022-11-09 09:47:17U2021-10-31 23:01:00.0<NA>205137.628006445092.131909<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62443040000CDFF224108201900000320100322<NA>5제외/삭제/전출15전출20220628<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 *** 한라아파트 ***동 ****호서울특별시 광진구 뚝섬로**길 **, ***동 ****호 (자양동, 한라아파트)05070(주)에이아이바둑2022-06-28 17:27:24U2021-12-05 21:00:00.0<NA>206120.623915448158.64146<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62453220000CDFF224108201900001320190228<NA>1영업/정상13영업중<NA><NA><NA><NA>07074036158<NA><NA>서울특별시 강남구 도곡동 ***-* 튼튼영어빌딩서울특별시 강남구 논현로 ***, 튼튼영어빌딩 **층 (도곡동)06296오지큐 주식회사2022-07-01 13:40:17U2021-12-07 00:03:00.0<NA>203660.241346442453.675254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>