Overview

Dataset statistics

Number of variables56
Number of observations307
Missing cells8486
Missing cells (%)49.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory145.5 KiB
Average record size in memory485.4 B

Variable types

Categorical16
Text9
DateTime4
Unsupported21
Numeric6

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-16687/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (96.0%)Imbalance
영업상태코드 is highly imbalanced (51.8%)Imbalance
영업상태명 is highly imbalanced (51.8%)Imbalance
상세영업상태코드 is highly imbalanced (51.8%)Imbalance
상세영업상태명 is highly imbalanced (51.8%)Imbalance
지하층수 is highly imbalanced (84.8%)Imbalance
건물용도명 is highly imbalanced (79.1%)Imbalance
통로너비 is highly imbalanced (80.9%)Imbalance
조명시설조도 is highly imbalanced (80.9%)Imbalance
노래방실수 is highly imbalanced (80.9%)Imbalance
청소년실수 is highly imbalanced (80.9%)Imbalance
총게임기수 is highly imbalanced (80.9%)Imbalance
폐업일자 has 242 (78.8%) missing valuesMissing
휴업시작일자 has 307 (100.0%) missing valuesMissing
휴업종료일자 has 307 (100.0%) missing valuesMissing
재개업일자 has 307 (100.0%) missing valuesMissing
전화번호 has 129 (42.0%) missing valuesMissing
소재지면적 has 307 (100.0%) missing valuesMissing
소재지우편번호 has 202 (65.8%) missing valuesMissing
도로명주소 has 9 (2.9%) missing valuesMissing
도로명우편번호 has 141 (45.9%) missing valuesMissing
업태구분명 has 307 (100.0%) missing valuesMissing
좌표정보(X) has 5 (1.6%) missing valuesMissing
좌표정보(Y) has 5 (1.6%) missing valuesMissing
총층수 has 266 (86.6%) missing valuesMissing
주변환경명 has 301 (98.0%) missing valuesMissing
제작취급품목내용 has 41 (13.4%) missing valuesMissing
시설면적 has 140 (45.6%) missing valuesMissing
지상층수 has 257 (83.7%) missing valuesMissing
비상계단여부 has 307 (100.0%) missing valuesMissing
비상구여부 has 307 (100.0%) missing valuesMissing
자동환기여부 has 307 (100.0%) missing valuesMissing
청소년실여부 has 307 (100.0%) missing valuesMissing
특수조명여부 has 307 (100.0%) missing valuesMissing
방음시설여부 has 307 (100.0%) missing valuesMissing
비디오재생기명 has 307 (100.0%) missing valuesMissing
조명시설유무 has 307 (100.0%) missing valuesMissing
음향시설여부 has 307 (100.0%) missing valuesMissing
편의시설여부 has 307 (100.0%) missing valuesMissing
소방시설여부 has 307 (100.0%) missing valuesMissing
기존게임업외업종명 has 307 (100.0%) missing valuesMissing
제공게임물명 has 307 (100.0%) missing valuesMissing
공연장형태구분명 has 307 (100.0%) missing valuesMissing
품목명 has 307 (100.0%) missing valuesMissing
최초등록시점 has 307 (100.0%) missing valuesMissing
지역구분명 has 301 (98.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 9 (2.9%) zerosZeros
시설면적 has 10 (3.3%) zerosZeros
지상층수 has 9 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-06 11:22:07.858697
Analysis finished2024-04-06 11:22:09.442468
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3210000
307 

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 307
100.0%

Length

2024-04-06T20:22:09.570174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:09.716314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 307
100.0%

관리번호
Text

UNIQUE 

Distinct307
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T20:22:09.994709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6140
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

Unique307 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241121999000003
4th rowCDFF2241121999000004
5th rowCDFF2241121999000005
ValueCountFrequency (%)
cdff2241121999000001 1
 
0.3%
cdff2241122016000004 1
 
0.3%
cdff2241122017000003 1
 
0.3%
cdff2241122017000001 1
 
0.3%
cdff2241122016000014 1
 
0.3%
cdff2241122016000013 1
 
0.3%
cdff2241122016000011 1
 
0.3%
cdff2241122016000010 1
 
0.3%
cdff2241122016000009 1
 
0.3%
cdff2241122018000011 1
 
0.3%
Other values (297) 297
96.7%
2024-04-06T20:22:10.588749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1877
30.6%
2 1348
22.0%
1 961
15.7%
F 614
 
10.0%
4 365
 
5.9%
C 307
 
5.0%
D 307
 
5.0%
3 80
 
1.3%
9 61
 
1.0%
5 61
 
1.0%
Other values (3) 159
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4912
80.0%
Uppercase Letter 1228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1877
38.2%
2 1348
27.4%
1 961
19.6%
4 365
 
7.4%
3 80
 
1.6%
9 61
 
1.2%
5 61
 
1.2%
7 55
 
1.1%
8 53
 
1.1%
6 51
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 614
50.0%
C 307
25.0%
D 307
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4912
80.0%
Latin 1228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1877
38.2%
2 1348
27.4%
1 961
19.6%
4 365
 
7.4%
3 80
 
1.6%
9 61
 
1.2%
5 61
 
1.2%
7 55
 
1.1%
8 53
 
1.1%
6 51
 
1.0%
Latin
ValueCountFrequency (%)
F 614
50.0%
C 307
25.0%
D 307
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1877
30.6%
2 1348
22.0%
1 961
15.7%
F 614
 
10.0%
4 365
 
5.9%
C 307
 
5.0%
D 307
 
5.0%
3 80
 
1.3%
9 61
 
1.0%
5 61
 
1.0%
Other values (3) 159
 
2.6%

인허가일자
Date

Distinct292
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1999-07-14 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T20:22:10.857409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:22:11.104923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
305 
20100119
 
1
20081016
 
1

Length

Max length8
Median length4
Mean length4.0260586
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 305
99.3%
20100119 1
 
0.3%
20081016 1
 
0.3%

Length

2024-04-06T20:22:11.315992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:11.834073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 305
99.3%
20100119 1
 
0.3%
20081016 1
 
0.3%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
240 
3
50 
5
 
15
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 240
78.2%
3 50
 
16.3%
5 15
 
4.9%
4 2
 
0.7%

Length

2024-04-06T20:22:11.984450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:12.135808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 240
78.2%
3 50
 
16.3%
5 15
 
4.9%
4 2
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
240 
폐업
50 
제외/삭제/전출
 
15
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7166124
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 240
78.2%
폐업 50
 
16.3%
제외/삭제/전출 15
 
4.9%
취소/말소/만료/정지/중지 2
 
0.7%

Length

2024-04-06T20:22:12.425563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:12.587809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 240
78.2%
폐업 50
 
16.3%
제외/삭제/전출 15
 
4.9%
취소/말소/만료/정지/중지 2
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
240 
3
50 
15
 
15
33
 
2

Length

Max length2
Median length2
Mean length1.8371336
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 240
78.2%
3 50
 
16.3%
15 15
 
4.9%
33 2
 
0.7%

Length

2024-04-06T20:22:12.726972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:12.861831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 240
78.2%
3 50
 
16.3%
15 15
 
4.9%
33 2
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
240 
폐업
50 
전출
 
15
지정취소
 
2

Length

Max length4
Median length3
Mean length2.7947883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 240
78.2%
폐업 50
 
16.3%
전출 15
 
4.9%
지정취소 2
 
0.7%

Length

2024-04-06T20:22:13.077617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:13.244400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 240
78.2%
폐업 50
 
16.3%
전출 15
 
4.9%
지정취소 2
 
0.7%

폐업일자
Date

MISSING 

Distinct63
Distinct (%)96.9%
Missing242
Missing (%)78.8%
Memory size2.5 KiB
Minimum2007-06-12 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T20:22:13.415771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:22:13.637808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct171
Distinct (%)96.1%
Missing129
Missing (%)42.0%
Memory size2.5 KiB
2024-04-06T20:22:14.020519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6516854
Min length7

Characters and Unicode

Total characters1718
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)92.7%

Sample

1st row573-5612
2nd row3487-7993
3rd row3471-0221
4th row545-6045
5th row3476-3141
ValueCountFrequency (%)
585-2452 3
 
1.7%
025558982 2
 
1.1%
070-4488-3806 2
 
1.1%
575-2870 2
 
1.1%
2057-0982 2
 
1.1%
1661-4467 2
 
1.1%
070-8650-2008 1
 
0.6%
070-8708-5868 1
 
0.6%
02-522-6110 1
 
0.6%
501-9607 1
 
0.6%
Other values (161) 161
90.4%
2024-04-06T20:22:14.619704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 224
13.0%
5 222
12.9%
0 222
12.9%
2 187
10.9%
8 141
8.2%
4 141
8.2%
3 139
8.1%
7 137
8.0%
1 116
6.8%
6 95
5.5%
Other values (2) 94
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1493
86.9%
Dash Punctuation 224
 
13.0%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 222
14.9%
0 222
14.9%
2 187
12.5%
8 141
9.4%
4 141
9.4%
3 139
9.3%
7 137
9.2%
1 116
7.8%
6 95
6.4%
9 93
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1718
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 224
13.0%
5 222
12.9%
0 222
12.9%
2 187
10.9%
8 141
8.2%
4 141
8.2%
3 139
8.1%
7 137
8.0%
1 116
6.8%
6 95
5.5%
Other values (2) 94
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 224
13.0%
5 222
12.9%
0 222
12.9%
2 187
10.9%
8 141
8.2%
4 141
8.2%
3 139
8.1%
7 137
8.0%
1 116
6.8%
6 95
5.5%
Other values (2) 94
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)55.2%
Missing202
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean137671.12
Minimum120830
Maximum137963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:14.846640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120830
5-th percentile137803.6
Q1137851
median137872
Q3137888
95-th percentile137905.6
Maximum137963
Range17133
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1677.8904
Coefficient of variation (CV)0.012187672
Kurtosis100.32241
Mean137671.12
Median Absolute Deviation (MAD)19
Skewness-9.9303361
Sum14455468
Variance2815316.3
MonotonicityNot monotonic
2024-04-06T20:22:15.076278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137876 8
 
2.6%
137891 8
 
2.6%
137863 4
 
1.3%
137895 4
 
1.3%
137874 4
 
1.3%
137888 3
 
1.0%
137862 3
 
1.0%
137806 3
 
1.0%
137843 3
 
1.0%
137858 3
 
1.0%
Other values (48) 62
 
20.2%
(Missing) 202
65.8%
ValueCountFrequency (%)
120830 1
 
0.3%
135545 1
 
0.3%
137130 1
 
0.3%
137150 1
 
0.3%
137728 1
 
0.3%
137803 1
 
0.3%
137806 3
1.0%
137808 2
0.7%
137810 1
 
0.3%
137817 1
 
0.3%
ValueCountFrequency (%)
137963 2
0.7%
137953 1
 
0.3%
137943 1
 
0.3%
137908 1
 
0.3%
137906 1
 
0.3%
137904 2
0.7%
137903 2
0.7%
137902 2
0.7%
137897 1
 
0.3%
137895 4
1.3%

지번주소
Text

Distinct228
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T20:22:15.615805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length35
Mean length27.241042
Min length14

Characters and Unicode

Total characters8363
Distinct characters230
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

Unique199 ?
Unique (%)64.8%

Sample

1st row서울특별시 서초구 양재동 ***-*번지 벤처**빌딩*층
2nd row서울특별시 서초구 방배동 ***-**번지
3rd row서울특별시 서초구 서초동 ****-**번지
4th row서울특별시 서초구 잠원동 **-*번지
5th row서울특별시 서초구 방배동 ***-*번지 태창빌딩***호
ValueCountFrequency (%)
서울특별시 306
20.6%
서초구 303
20.3%
번지 220
14.8%
서초동 161
10.8%
61
 
4.1%
양재동 51
 
3.4%
방배동 42
 
2.8%
층 35
 
2.4%
반포동 27
 
1.8%
호 27
 
1.8%
Other values (203) 256
17.2%
2024-04-06T20:22:16.431512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1601
19.1%
1441
17.2%
서 793
 
9.5%
초 477
 
5.7%
동 327
 
3.9%
시 309
 
3.7%
별 308
 
3.7%
구 308
 
3.7%
울 308
 
3.7%
특 306
 
3.7%
Other values (220) 2185
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4973
59.5%
Other Punctuation 1608
 
19.2%
Space Separator 1441
 
17.2%
Dash Punctuation 270
 
3.2%
Uppercase Letter 39
 
0.5%
Decimal Number 12
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 793
15.9%
초 477
 
9.6%
동 327
 
6.6%
시 309
 
6.2%
별 308
 
6.2%
구 308
 
6.2%
울 308
 
6.2%
특 306
 
6.2%
지 235
 
4.7%
번 220
 
4.4%
Other values (188) 1382
27.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
12.8%
B 5
12.8%
E 3
 
7.7%
N 3
 
7.7%
K 3
 
7.7%
C 3
 
7.7%
T 3
 
7.7%
R 2
 
5.1%
W 2
 
5.1%
O 2
 
5.1%
Other values (7) 8
20.5%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 3
25.0%
7 2
16.7%
2 2
16.7%
0 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
e 2
33.3%
t 1
16.7%
h 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1601
99.6%
, 7
 
0.4%
Space Separator
ValueCountFrequency (%)
1441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4973
59.5%
Common 3345
40.0%
Latin 45
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 793
15.9%
초 477
 
9.6%
동 327
 
6.6%
시 309
 
6.2%
별 308
 
6.2%
구 308
 
6.2%
울 308
 
6.2%
특 306
 
6.2%
지 235
 
4.7%
번 220
 
4.4%
Other values (188) 1382
27.8%
Latin
ValueCountFrequency (%)
A 5
 
11.1%
B 5
 
11.1%
E 3
 
6.7%
N 3
 
6.7%
K 3
 
6.7%
C 3
 
6.7%
T 3
 
6.7%
s 2
 
4.4%
e 2
 
4.4%
R 2
 
4.4%
Other values (11) 14
31.1%
Common
ValueCountFrequency (%)
* 1601
47.9%
1441
43.1%
- 270
 
8.1%
, 7
 
0.2%
( 7
 
0.2%
) 7
 
0.2%
1 4
 
0.1%
3 3
 
0.1%
7 2
 
0.1%
2 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4973
59.5%
ASCII 3390
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1601
47.2%
1441
42.5%
- 270
 
8.0%
, 7
 
0.2%
( 7
 
0.2%
) 7
 
0.2%
A 5
 
0.1%
B 5
 
0.1%
1 4
 
0.1%
E 3
 
0.1%
Other values (22) 40
 
1.2%
Hangul
ValueCountFrequency (%)
서 793
15.9%
초 477
 
9.6%
동 327
 
6.6%
시 309
 
6.2%
별 308
 
6.2%
구 308
 
6.2%
울 308
 
6.2%
특 306
 
6.2%
지 235
 
4.7%
번 220
 
4.4%
Other values (188) 1382
27.8%

도로명주소
Text

MISSING 

Distinct270
Distinct (%)90.6%
Missing9
Missing (%)2.9%
Memory size2.5 KiB
2024-04-06T20:22:16.845497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length44
Mean length34.533557
Min length22

Characters and Unicode

Total characters10291
Distinct characters257
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

Unique246 ?
Unique (%)82.6%

Sample

1st row서울특별시 서초구 동산로 ** (양재동,벤처**빌딩*층)
2nd row서울특별시 서초구 효령로 ** (방배동)
3rd row서울특별시 서초구 강남대로**길 ** (잠원동)
4th row서울특별시 서초구 방배로 *** (방배동,태창빌딩***호)
5th row서울특별시 서초구 신반포로 ***-* (반포동,서건빌딩 B*호)
ValueCountFrequency (%)
299
16.2%
서울특별시 297
16.1%
서초구 295
16.0%
층 122
 
6.6%
서초동 103
 
5.6%
호 67
 
3.6%
강남대로 41
 
2.2%
양재동 24
 
1.3%
방배동 23
 
1.2%
강남대로**길 23
 
1.2%
Other values (294) 555
30.0%
2024-04-06T20:22:17.427523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1685
16.4%
* 1585
15.4%
서 818
 
7.9%
초 502
 
4.9%
, 329
 
3.2%
동 324
 
3.1%
) 304
 
3.0%
( 304
 
3.0%
구 301
 
2.9%
시 300
 
2.9%
Other values (247) 3839
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5990
58.2%
Other Punctuation 1914
 
18.6%
Space Separator 1685
 
16.4%
Close Punctuation 304
 
3.0%
Open Punctuation 304
 
3.0%
Uppercase Letter 44
 
0.4%
Dash Punctuation 42
 
0.4%
Lowercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 818
 
13.7%
초 502
 
8.4%
동 324
 
5.4%
구 301
 
5.0%
시 300
 
5.0%
울 299
 
5.0%
별 299
 
5.0%
특 297
 
5.0%
로 294
 
4.9%
층 198
 
3.3%
Other values (217) 2358
39.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
13.6%
A 5
11.4%
K 4
 
9.1%
T 4
 
9.1%
E 3
 
6.8%
C 3
 
6.8%
N 3
 
6.8%
L 2
 
4.5%
S 2
 
4.5%
R 2
 
4.5%
Other values (8) 10
22.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
e 2
28.6%
b 1
14.3%
h 1
14.3%
t 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1585
82.8%
, 329
 
17.2%
Space Separator
ValueCountFrequency (%)
1685
100.0%
Close Punctuation
ValueCountFrequency (%)
) 304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5990
58.2%
Common 4250
41.3%
Latin 51
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 818
 
13.7%
초 502
 
8.4%
동 324
 
5.4%
구 301
 
5.0%
시 300
 
5.0%
울 299
 
5.0%
별 299
 
5.0%
특 297
 
5.0%
로 294
 
4.9%
층 198
 
3.3%
Other values (217) 2358
39.4%
Latin
ValueCountFrequency (%)
B 6
 
11.8%
A 5
 
9.8%
K 4
 
7.8%
T 4
 
7.8%
E 3
 
5.9%
C 3
 
5.9%
N 3
 
5.9%
L 2
 
3.9%
S 2
 
3.9%
s 2
 
3.9%
Other values (13) 17
33.3%
Common
ValueCountFrequency (%)
1685
39.6%
* 1585
37.3%
, 329
 
7.7%
) 304
 
7.2%
( 304
 
7.2%
- 42
 
1.0%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5990
58.2%
ASCII 4301
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1685
39.2%
* 1585
36.9%
, 329
 
7.6%
) 304
 
7.1%
( 304
 
7.1%
- 42
 
1.0%
B 6
 
0.1%
A 5
 
0.1%
K 4
 
0.1%
T 4
 
0.1%
Other values (20) 33
 
0.8%
Hangul
ValueCountFrequency (%)
서 818
 
13.7%
초 502
 
8.4%
동 324
 
5.4%
구 301
 
5.0%
시 300
 
5.0%
울 299
 
5.0%
별 299
 
5.0%
특 297
 
5.0%
로 294
 
4.9%
층 198
 
3.3%
Other values (217) 2358
39.4%

도로명우편번호
Text

MISSING 

Distinct79
Distinct (%)47.6%
Missing141
Missing (%)45.9%
Memory size2.5 KiB
2024-04-06T20:22:17.826570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0481928
Min length5

Characters and Unicode

Total characters838
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

Unique41 ?
Unique (%)24.7%

Sample

1st row137-894
2nd row06664
3rd row06626
4th row137860
5th row06640
ValueCountFrequency (%)
06627 14
 
8.4%
06621 8
 
4.8%
06626 6
 
3.6%
06541 6
 
3.6%
06729 6
 
3.6%
06775 5
 
3.0%
06738 5
 
3.0%
06650 5
 
3.0%
06668 4
 
2.4%
06611 4
 
2.4%
Other values (69) 103
62.0%
2024-04-06T20:22:18.553827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 268
32.0%
0 181
21.6%
7 97
 
11.6%
2 65
 
7.8%
5 60
 
7.2%
1 50
 
6.0%
3 40
 
4.8%
4 28
 
3.3%
9 25
 
3.0%
8 23
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 837
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 268
32.0%
0 181
21.6%
7 97
 
11.6%
2 65
 
7.8%
5 60
 
7.2%
1 50
 
6.0%
3 40
 
4.8%
4 28
 
3.3%
9 25
 
3.0%
8 23
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 268
32.0%
0 181
21.6%
7 97
 
11.6%
2 65
 
7.8%
5 60
 
7.2%
1 50
 
6.0%
3 40
 
4.8%
4 28
 
3.3%
9 25
 
3.0%
8 23
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 268
32.0%
0 181
21.6%
7 97
 
11.6%
2 65
 
7.8%
5 60
 
7.2%
1 50
 
6.0%
3 40
 
4.8%
4 28
 
3.3%
9 25
 
3.0%
8 23
 
2.7%

사업장명
Text

Distinct300
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T20:22:18.964223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length16
Mean length8.8957655
Min length2

Characters and Unicode

Total characters2731
Distinct characters334
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

Unique293 ?
Unique (%)95.4%

Sample

1st row(주)씨아이브레인
2nd row(주)실로테크노
3rd rowMENSON INTERNATIONAL
4th row세일G&P
5th row(주)오에이씨
ValueCountFrequency (%)
주식회사 53
 
13.6%
주 13
 
3.3%
co 3
 
0.8%
주)브리디아스마트 2
 
0.5%
인피니티포켓 2
 
0.5%
ltd 2
 
0.5%
엑스디지탈(주 2
 
0.5%
이니엄(주 2
 
0.5%
주)플레이독소프트 2
 
0.5%
주)엔퓨처엔터테인먼트 2
 
0.5%
Other values (305) 307
78.7%
2024-04-06T20:22:19.655966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 254
 
9.3%
) 213
 
7.8%
( 212
 
7.8%
스 87
 
3.2%
83
 
3.0%
트 78
 
2.9%
이 76
 
2.8%
사 61
 
2.2%
회 56
 
2.1%
인 53
 
1.9%
Other values (324) 1558
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2108
77.2%
Close Punctuation 213
 
7.8%
Open Punctuation 212
 
7.8%
Space Separator 83
 
3.0%
Uppercase Letter 64
 
2.3%
Lowercase Letter 41
 
1.5%
Other Punctuation 7
 
0.3%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 254
 
12.0%
스 87
 
4.1%
트 78
 
3.7%
이 76
 
3.6%
사 61
 
2.9%
회 56
 
2.7%
인 53
 
2.5%
식 53
 
2.5%
리 51
 
2.4%
프 46
 
2.2%
Other values (282) 1293
61.3%
Uppercase Letter
ValueCountFrequency (%)
O 7
10.9%
E 7
10.9%
N 7
10.9%
T 6
9.4%
C 5
7.8%
R 5
7.8%
A 5
7.8%
M 4
 
6.2%
L 4
 
6.2%
I 3
 
4.7%
Other values (7) 11
17.2%
Lowercase Letter
ValueCountFrequency (%)
i 5
12.2%
e 5
12.2%
o 4
9.8%
n 3
 
7.3%
d 3
 
7.3%
s 3
 
7.3%
t 3
 
7.3%
l 3
 
7.3%
r 2
 
4.9%
g 2
 
4.9%
Other values (6) 8
19.5%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
7 1
33.3%
8 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Space Separator
ValueCountFrequency (%)
83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2108
77.2%
Common 518
 
19.0%
Latin 105
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 254
 
12.0%
스 87
 
4.1%
트 78
 
3.7%
이 76
 
3.6%
사 61
 
2.9%
회 56
 
2.7%
인 53
 
2.5%
식 53
 
2.5%
리 51
 
2.4%
프 46
 
2.2%
Other values (282) 1293
61.3%
Latin
ValueCountFrequency (%)
O 7
 
6.7%
E 7
 
6.7%
N 7
 
6.7%
T 6
 
5.7%
C 5
 
4.8%
i 5
 
4.8%
e 5
 
4.8%
R 5
 
4.8%
A 5
 
4.8%
M 4
 
3.8%
Other values (23) 49
46.7%
Common
ValueCountFrequency (%)
) 213
41.1%
( 212
40.9%
83
 
16.0%
. 4
 
0.8%
, 2
 
0.4%
4 1
 
0.2%
7 1
 
0.2%
& 1
 
0.2%
8 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2108
77.2%
ASCII 623
 
22.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 254
 
12.0%
스 87
 
4.1%
트 78
 
3.7%
이 76
 
3.6%
사 61
 
2.9%
회 56
 
2.7%
인 53
 
2.5%
식 53
 
2.5%
리 51
 
2.4%
프 46
 
2.2%
Other values (282) 1293
61.3%
ASCII
ValueCountFrequency (%)
) 213
34.2%
( 212
34.0%
83
 
13.3%
O 7
 
1.1%
E 7
 
1.1%
N 7
 
1.1%
T 6
 
1.0%
C 5
 
0.8%
i 5
 
0.8%
e 5
 
0.8%
Other values (32) 73
 
11.7%

최종수정일자
Date

UNIQUE 

Distinct307
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2007-01-23 11:38:01
Maximum2024-04-01 11:21:59
2024-04-06T20:22:20.001701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:22:20.309313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
263 
U
44 

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 263
85.7%
U 44
 
14.3%

Length

2024-04-06T20:22:20.494143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:20.667794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 263
85.7%
u 44
 
14.3%

데이터갱신일자
Date

Distinct86
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T20:22:20.845240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:22:21.063849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)77.8%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean201677.07
Minimum196512.44
Maximum204729.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:21.303542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196512.44
5-th percentile198701.89
Q1201013.46
median201809.91
Q3202570.45
95-th percentile203817.65
Maximum204729.89
Range8217.4463
Interquartile range (IQR)1556.9971

Descriptive statistics

Standard deviation1491.2982
Coefficient of variation (CV)0.0073944856
Kurtosis-0.024417621
Mean201677.07
Median Absolute Deviation (MAD)792.22666
Skewness-0.58899475
Sum60906476
Variance2223970.4
MonotonicityNot monotonic
2024-04-06T20:22:21.531977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202501.602561199 7
 
2.3%
201501.672660443 5
 
1.6%
200313.234330258 4
 
1.3%
198412.196223503 4
 
1.3%
202559.861737709 4
 
1.3%
202760.817264669 4
 
1.3%
201551.851083886 3
 
1.0%
202566.850388377 3
 
1.0%
203389.631843597 3
 
1.0%
202459.257859185 3
 
1.0%
Other values (225) 262
85.3%
(Missing) 5
 
1.6%
ValueCountFrequency (%)
196512.444906236 1
 
0.3%
198410.876785104 1
 
0.3%
198412.196223503 4
1.3%
198423.213354706 1
 
0.3%
198425.516282007 1
 
0.3%
198443.027160659 1
 
0.3%
198464.569551277 1
 
0.3%
198481.742241343 1
 
0.3%
198506.646654889 1
 
0.3%
198536.82323794 1
 
0.3%
ValueCountFrequency (%)
204729.891186669 1
 
0.3%
204606.167739023 1
 
0.3%
204329.033992594 1
 
0.3%
204015.28 1
 
0.3%
203962.132622996 1
 
0.3%
203945.084325832 1
 
0.3%
203898.403621321 2
0.7%
203893.035 1
 
0.3%
203891.041008756 3
1.0%
203865.709970943 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)77.8%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean443000.15
Minimum432911.45
Maximum446206.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:21.783037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum432911.45
5-th percentile441335.26
Q1442280.69
median442869.77
Q3443618.68
95-th percentile445406.63
Maximum446206.35
Range13294.903
Interquartile range (IQR)1337.9849

Descriptive statistics

Standard deviation1371.7082
Coefficient of variation (CV)0.0030964058
Kurtosis9.2074109
Mean443000.15
Median Absolute Deviation (MAD)658.81304
Skewness-1.0277203
Sum1.3378604 × 108
Variance1881583.5
MonotonicityNot monotonic
2024-04-06T20:22:22.043298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443226.434038556 7
 
2.3%
442505.573142545 5
 
1.6%
442609.514493174 4
 
1.3%
441803.515110066 4
 
1.3%
443317.21602255 4
 
1.3%
442855.503519563 4
 
1.3%
443517.106190108 3
 
1.0%
443356.964526096 3
 
1.0%
442519.731564025 3
 
1.0%
443620.263219246 3
 
1.0%
Other values (225) 262
85.3%
(Missing) 5
 
1.6%
ValueCountFrequency (%)
432911.451582184 1
0.3%
439205.430021381 1
0.3%
439228.931995825 1
0.3%
440136.781183797 1
0.3%
440372.135898289 2
0.7%
440668.613286281 1
0.3%
440753.993971457 1
0.3%
440834.596164843 1
0.3%
440891.547609374 1
0.3%
441115.685683494 1
0.3%
ValueCountFrequency (%)
446206.354902748 1
0.3%
446180.260965954 1
0.3%
446143.546154841 1
0.3%
446051.521120623 1
0.3%
445936.564829825 1
0.3%
445925.713327332 1
0.3%
445902.261679056 1
0.3%
445863.904431813 1
0.3%
445830.860932734 1
0.3%
445795.178029376 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
게임물배급업
267 
<NA>
40 

Length

Max length6
Median length6
Mean length5.7394137
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 267
87.0%
<NA> 40
 
13.0%

Length

2024-04-06T20:22:22.291608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:22.494891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 267
87.0%
na 40
 
13.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
유통관련업
267 
<NA>
40 

Length

Max length5
Median length5
Mean length4.8697068
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 267
87.0%
<NA> 40
 
13.0%

Length

2024-04-06T20:22:22.727500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:22.877745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 267
87.0%
na 40
 
13.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)29.3%
Missing266
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean6.3902439
Minimum0
Maximum20
Zeros9
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:23.066582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8603671
Coefficient of variation (CV)0.91708035
Kurtosis0.80723567
Mean6.3902439
Median Absolute Deviation (MAD)3
Skewness1.1519022
Sum262
Variance34.343902
MonotonicityNot monotonic
2024-04-06T20:22:23.274522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 9
 
2.9%
0 9
 
2.9%
9 4
 
1.3%
7 4
 
1.3%
20 4
 
1.3%
6 3
 
1.0%
4 2
 
0.7%
2 2
 
0.7%
3 1
 
0.3%
13 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 266
86.6%
ValueCountFrequency (%)
0 9
2.9%
2 2
 
0.7%
3 1
 
0.3%
4 2
 
0.7%
5 9
2.9%
6 3
 
1.0%
7 4
1.3%
9 4
1.3%
11 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
20 4
1.3%
16 1
 
0.3%
13 1
 
0.3%
11 1
 
0.3%
9 4
1.3%
7 4
1.3%
6 3
 
1.0%
5 9
2.9%
4 2
 
0.7%
3 1
 
0.3%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing301
Missing (%)98.0%
Memory size2.5 KiB
2024-04-06T20:22:23.519678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length4
Min length2

Characters and Unicode

Total characters24
Distinct characters13
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 (%)16.7%

Sample

1st row유흥업소밀집지역
2nd row아파트지역
3rd row기타
4th row기타
5th row아파트지역
ValueCountFrequency (%)
기타 3
50.0%
아파트지역 2
33.3%
유흥업소밀집지역 1
 
16.7%
2024-04-06T20:22:24.050956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
12.5%
타 3
12.5%
지 3
12.5%
역 3
12.5%
아 2
8.3%
파 2
8.3%
트 2
8.3%
유 1
 
4.2%
흥 1
 
4.2%
업 1
 
4.2%
Other values (3) 3
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
12.5%
타 3
12.5%
지 3
12.5%
역 3
12.5%
아 2
8.3%
파 2
8.3%
트 2
8.3%
유 1
 
4.2%
흥 1
 
4.2%
업 1
 
4.2%
Other values (3) 3
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
12.5%
타 3
12.5%
지 3
12.5%
역 3
12.5%
아 2
8.3%
파 2
8.3%
트 2
8.3%
유 1
 
4.2%
흥 1
 
4.2%
업 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
12.5%
타 3
12.5%
지 3
12.5%
역 3
12.5%
아 2
8.3%
파 2
8.3%
트 2
8.3%
유 1
 
4.2%
흥 1
 
4.2%
업 1
 
4.2%
Other values (3) 3
12.5%

제작취급품목내용
Text

MISSING 

Distinct73
Distinct (%)27.4%
Missing41
Missing (%)13.4%
Memory size2.5 KiB
2024-04-06T20:22:24.383806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length5.3684211
Min length2

Characters and Unicode

Total characters1428
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)20.7%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 110
32.3%
모바일게임 39
 
11.4%
게임 25
 
7.3%
온라인 24
 
7.0%
모바일 19
 
5.6%
온라인게임 17
 
5.0%
소프트웨어 15
 
4.4%
온라인게임물 8
 
2.3%
소프트웨어개발 6
 
1.8%
등 6
 
1.8%
Other values (49) 72
21.1%
2024-04-06T20:22:25.441819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 247
17.3%
임 245
17.2%
물 125
 
8.8%
75
 
5.3%
모 68
 
4.8%
바 68
 
4.8%
일 68
 
4.8%
인 57
 
4.0%
온 55
 
3.9%
라 55
 
3.9%
Other values (59) 365
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1277
89.4%
Space Separator 75
 
5.3%
Other Punctuation 36
 
2.5%
Uppercase Letter 32
 
2.2%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 247
19.3%
임 245
19.2%
물 125
9.8%
모 68
 
5.3%
바 68
 
5.3%
일 68
 
5.3%
인 57
 
4.5%
온 55
 
4.3%
라 55
 
4.3%
프 31
 
2.4%
Other values (49) 258
20.2%
Uppercase Letter
ValueCountFrequency (%)
C 8
25.0%
R 8
25.0%
P 8
25.0%
A 4
12.5%
V 4
12.5%
Other Punctuation
ValueCountFrequency (%)
, 34
94.4%
? 2
 
5.6%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1277
89.4%
Common 119
 
8.3%
Latin 32
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 247
19.3%
임 245
19.2%
물 125
9.8%
모 68
 
5.3%
바 68
 
5.3%
일 68
 
5.3%
인 57
 
4.5%
온 55
 
4.3%
라 55
 
4.3%
프 31
 
2.4%
Other values (49) 258
20.2%
Common
ValueCountFrequency (%)
75
63.0%
, 34
28.6%
( 4
 
3.4%
) 4
 
3.4%
? 2
 
1.7%
Latin
ValueCountFrequency (%)
C 8
25.0%
R 8
25.0%
P 8
25.0%
A 4
12.5%
V 4
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1277
89.4%
ASCII 151
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 247
19.3%
임 245
19.2%
물 125
9.8%
모 68
 
5.3%
바 68
 
5.3%
일 68
 
5.3%
인 57
 
4.5%
온 55
 
4.3%
라 55
 
4.3%
프 31
 
2.4%
Other values (49) 258
20.2%
ASCII
ValueCountFrequency (%)
75
49.7%
, 34
22.5%
C 8
 
5.3%
R 8
 
5.3%
P 8
 
5.3%
A 4
 
2.6%
V 4
 
2.6%
( 4
 
2.6%
) 4
 
2.6%
? 2
 
1.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)70.7%
Missing140
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean204.77054
Minimum0
Maximum4641
Zeros10
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:25.662703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.8
median50.24
Q3175.18
95-th percentile739.242
Maximum4641
Range4641
Interquartile range (IQR)169.38

Descriptive statistics

Standard deviation502.56677
Coefficient of variation (CV)2.4542924
Kurtosis45.702224
Mean204.77054
Median Absolute Deviation (MAD)49.24
Skewness6.0865978
Sum34196.68
Variance252573.36
MonotonicityNot monotonic
2024-04-06T20:22:25.866401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 20
 
6.5%
0.0 10
 
3.3%
3.3 5
 
1.6%
372.23 3
 
1.0%
6.61 3
 
1.0%
30.0 3
 
1.0%
6.6 3
 
1.0%
10.0 3
 
1.0%
16.5 2
 
0.7%
17.0 2
 
0.7%
Other values (108) 113
36.8%
(Missing) 140
45.6%
ValueCountFrequency (%)
0.0 10
3.3%
1.0 20
6.5%
1.35 1
 
0.3%
1.44 2
 
0.7%
2.2 1
 
0.3%
3.0 1
 
0.3%
3.3 5
 
1.6%
3.97 1
 
0.3%
5.0 1
 
0.3%
6.6 3
 
1.0%
ValueCountFrequency (%)
4641.0 1
0.3%
3381.49 1
0.3%
1637.73 1
0.3%
1346.68 1
0.3%
1234.2 1
0.3%
1071.32 1
0.3%
1059.0 1
0.3%
835.25 1
0.3%
745.8 1
0.3%
723.94 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)24.0%
Missing257
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean5.12
Minimum0
Maximum19
Zeros9
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:22:26.155149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile18
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.297824
Coefficient of variation (CV)1.0347312
Kurtosis1.7351408
Mean5.12
Median Absolute Deviation (MAD)2
Skewness1.5504657
Sum256
Variance28.066939
MonotonicityNot monotonic
2024-04-06T20:22:26.336075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 10
 
3.3%
5 9
 
2.9%
0 9
 
2.9%
2 5
 
1.6%
1 3
 
1.0%
3 3
 
1.0%
18 3
 
1.0%
11 3
 
1.0%
19 2
 
0.7%
7 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 257
83.7%
ValueCountFrequency (%)
0 9
2.9%
1 3
 
1.0%
2 5
1.6%
3 3
 
1.0%
4 10
3.3%
5 9
2.9%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
11 3
 
1.0%
ValueCountFrequency (%)
19 2
 
0.7%
18 3
 
1.0%
11 3
 
1.0%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 9
2.9%
4 10
3.3%
3 3
 
1.0%
2 5
1.6%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
9
2
 
2
1
 
2

Length

Max length4
Median length4
Mean length3.8729642
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> 294
95.8%
0 9
 
2.9%
2 2
 
0.7%
1 2
 
0.7%

Length

2024-04-06T20:22:26.584460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:26.746766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.8%
0 9
 
2.9%
2 2
 
0.7%
1 2
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
286 
근린생활시설
 
17
사무실
 
3
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.1074919
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 286
93.2%
근린생활시설 17
 
5.5%
사무실 3
 
1.0%
교육연구시설 1
 
0.3%

Length

2024-04-06T20:22:26.929916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:27.100940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
93.2%
근린생활시설 17
 
5.5%
사무실 3
 
1.0%
교육연구시설 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
298 
0
 
9

Length

Max length4
Median length4
Mean length3.9120521
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> 298
97.1%
0 9
 
2.9%

Length

2024-04-06T20:22:27.313322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:27.468282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
97.1%
0 9
 
2.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
298 
0
 
9

Length

Max length4
Median length4
Mean length3.9120521
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> 298
97.1%
0 9
 
2.9%

Length

2024-04-06T20:22:27.647833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:27.801294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
97.1%
0 9
 
2.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
298 
0
 
9

Length

Max length4
Median length4
Mean length3.9120521
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> 298
97.1%
0 9
 
2.9%

Length

2024-04-06T20:22:27.978768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:28.139694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
97.1%
0 9
 
2.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
298 
0
 
9

Length

Max length4
Median length4
Mean length3.9120521
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> 298
97.1%
0 9
 
2.9%

Length

2024-04-06T20:22:28.313551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:28.592202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
97.1%
0 9
 
2.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
298 
0
 
9

Length

Max length4
Median length4
Mean length3.9120521
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> 298
97.1%
0 9
 
2.9%

Length

2024-04-06T20:22:28.824387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:22:28.988949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
97.1%
0 9
 
2.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing307
Missing (%)100.0%
Memory size2.8 KiB

지역구분명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing301
Missing (%)98.0%
Memory size2.5 KiB
2024-04-06T20:22:29.164638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters36
Distinct characters10
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 (%)16.7%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row일반상업지역
4th row일반주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
50.0%
근린상업지역 2
33.3%
일반상업지역 1
 
16.7%
2024-04-06T20:22:29.674376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
16.7%
역 6
16.7%
일 4
11.1%
반 4
11.1%
주 3
8.3%
거 3
8.3%
상 3
8.3%
업 3
8.3%
근 2
 
5.6%
린 2
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
16.7%
역 6
16.7%
일 4
11.1%
반 4
11.1%
주 3
8.3%
거 3
8.3%
상 3
8.3%
업 3
8.3%
근 2
 
5.6%
린 2
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
16.7%
역 6
16.7%
일 4
11.1%
반 4
11.1%
주 3
8.3%
거 3
8.3%
상 3
8.3%
업 3
8.3%
근 2
 
5.6%
린 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
16.7%
역 6
16.7%
일 4
11.1%
반 4
11.1%
주 3
8.3%
거 3
8.3%
상 3
8.3%
업 3
8.3%
근 2
 
5.6%
린 2
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF224112199900000119991118<NA>1영업/정상13영업중<NA><NA><NA><NA>573-5612<NA>137897서울특별시 서초구 양재동 ***-*번지 벤처**빌딩*층서울특별시 서초구 동산로 ** (양재동,벤처**빌딩*층)<NA>(주)씨아이브레인2007-06-18 15:23:51I2018-08-31 23:59:59.0<NA>203559.004025440834.596165게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFF224112199900000219991214<NA>1영업/정상13영업중<NA><NA><NA><NA>3487-7993<NA>137847서울특별시 서초구 방배동 ***-**번지서울특별시 서초구 효령로 ** (방배동)<NA>(주)실로테크노2007-06-18 17:01:28I2018-08-31 23:59:59.0<NA>199080.407338441927.084558게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFF224112199900000319991029<NA>3폐업3폐업20101220<NA><NA><NA>3471-0221<NA>137869서울특별시 서초구 서초동 ****-**번지<NA><NA>MENSON INTERNATIONAL2010-12-20 12:56:33I2018-08-31 23:59:59.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33210000CDFF224112199900000419991206<NA>1영업/정상13영업중<NA><NA><NA><NA>545-6045<NA>137903서울특별시 서초구 잠원동 **-*번지서울특별시 서초구 강남대로**길 ** (잠원동)<NA>세일G&P2007-06-19 11:48:23I2018-08-31 23:59:59.0<NA>201435.516661445751.943418게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000CDFF224112199900000519990714<NA>3폐업3폐업20121012<NA><NA><NA>3476-3141<NA><NA>서울특별시 서초구 방배동 ***-*번지 태창빌딩***호서울특별시 서초구 방배로 *** (방배동,태창빌딩***호)<NA>(주)오에이씨2012-10-12 15:50:32I2018-08-31 23:59:59.0<NA>199317.690551443010.406237게임물배급업유통관련업<NA><NA>게임물1.0<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>
53210000CDFF224112199900000619991029<NA>1영업/정상13영업중<NA><NA><NA><NA>516-6660<NA>137808서울특별시 서초구 반포동 ***-*번지 서건빌딩 B*호서울특별시 서초구 신반포로 ***-* (반포동,서건빌딩 B*호)<NA>AZ INTERTRADE CO2007-06-21 18:54:40I2018-08-31 23:59:59.0<NA>201615.653318445307.257584게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000CDFF224112200000000220000701<NA>1영업/정상13영업중<NA><NA><NA><NA>543-8025<NA>137864서울특별시 서초구 서초동 ****-*번지 진로별관빌딩*층서울특별시 서초구 서초중앙로 * (서초동,진로별관빌딩*층)<NA>(주)이오리스2007-06-18 13:36:50I2018-08-31 23:59:59.0<NA>201523.817375442288.685385게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFF224112200000000320001111<NA>1영업/정상13영업중<NA><NA><NA><NA>525-0334<NA>137862서울특별시 서초구 서초동 ****-**번지 사랑이빌딩*층서울특별시 서초구 강남대로 *** (서초동,사랑이빌딩*층)<NA>케이유니버스(주)2007-06-18 14:13:31I2018-08-31 23:59:59.0<NA>202745.766174442884.030783게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFF224112200000000420000818<NA>1영업/정상13영업중<NA><NA><NA><NA>595-0382<NA>137828서울특별시 서초구 방배동 ***-**번지<NA><NA>해피정보통신2007-06-18 14:16:34I2018-08-31 23:59:59.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFF224112200000000520000325<NA>1영업/정상13영업중<NA><NA><NA><NA>592-4528<NA>137806서울특별시 서초구 반포동 **-*번지서울특별시 서초구 사평대로**길 ** (반포동)<NA>몽토영작(주)2007-06-18 14:25:23I2018-08-31 23:59:59.0<NA>199733.400711443944.584472게임물배급업유통관련업<NA><NA>게임물<NA><NA><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
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2983210000CDFF22411220230000092023-07-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 중앙로얄오피스텔서울특별시 서초구 서운로 **, 중앙로얄오피스텔 지하*층 ***-가**호 (서초동)06732주식회사 퍼피띵게임즈2023-07-21 16:26:48I2022-12-06 22:03:00.0<NA>202481.661169442563.269272<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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3003210000CDFF22411220230000112023-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 대륭서초타워서울특별시 서초구 강남대로 ***, 대륭서초타워 **층 (서초동)06627주식회사 플라이웨이게임즈2023-11-08 08:41:58I2022-10-31 23:00:00.0<NA>202559.861738443317.216023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3013210000CDFF22411220230000122001-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-* 동원에프앤비 빌딩서울특별시 서초구 마방로 **, 동원에프앤비 빌딩 *층, *층, **층 (양재동)06775(주)플레이위드코리아2023-12-06 10:29:21I2022-11-02 00:08:00.0<NA>203789.633524441679.872243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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3043210000CDFF22411220240000022024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*서울특별시 서초구 나루터로 **, *층 (잠원동)06527주식회사 컨샐러드2024-02-29 16:40:07I2023-12-03 00:02:00.0<NA>201413.809897445863.904432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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3063210000CDFF22411220240000042024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* MK빌딩서울특별시 서초구 서초대로**길 **, MK빌딩 **층 (서초동)06612주식회사 브릴라2024-03-18 16:47:14I2023-12-02 22:00:00.0<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>