Overview

Dataset statistics

Number of variables56
Number of observations286
Missing cells7964
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory135.6 KiB
Average record size in memory485.5 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17367/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (89.4%)Imbalance
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
지하층수 is highly imbalanced (75.7%)Imbalance
건물용도명 is highly imbalanced (90.3%)Imbalance
통로너비 is highly imbalanced (58.4%)Imbalance
조명시설조도 is highly imbalanced (58.4%)Imbalance
노래방실수 is highly imbalanced (58.4%)Imbalance
청소년실수 is highly imbalanced (58.4%)Imbalance
총게임기수 is highly imbalanced (58.4%)Imbalance
폐업일자 has 223 (78.0%) missing valuesMissing
휴업시작일자 has 286 (100.0%) missing valuesMissing
휴업종료일자 has 286 (100.0%) missing valuesMissing
재개업일자 has 286 (100.0%) missing valuesMissing
전화번호 has 112 (39.2%) missing valuesMissing
소재지면적 has 286 (100.0%) missing valuesMissing
소재지우편번호 has 255 (89.2%) missing valuesMissing
도로명우편번호 has 53 (18.5%) missing valuesMissing
업태구분명 has 286 (100.0%) missing valuesMissing
총층수 has 256 (89.5%) missing valuesMissing
주변환경명 has 284 (99.3%) missing valuesMissing
제작취급품목내용 has 96 (33.6%) missing valuesMissing
시설면적 has 137 (47.9%) missing valuesMissing
지상층수 has 254 (88.8%) missing valuesMissing
비상계단여부 has 286 (100.0%) missing valuesMissing
비상구여부 has 286 (100.0%) missing valuesMissing
자동환기여부 has 286 (100.0%) missing valuesMissing
청소년실여부 has 286 (100.0%) missing valuesMissing
특수조명여부 has 286 (100.0%) missing valuesMissing
방음시설여부 has 286 (100.0%) missing valuesMissing
비디오재생기명 has 286 (100.0%) missing valuesMissing
조명시설유무 has 286 (100.0%) missing valuesMissing
음향시설여부 has 286 (100.0%) missing valuesMissing
편의시설여부 has 286 (100.0%) missing valuesMissing
소방시설여부 has 286 (100.0%) missing valuesMissing
기존게임업외업종명 has 286 (100.0%) missing valuesMissing
제공게임물명 has 286 (100.0%) missing valuesMissing
공연장형태구분명 has 286 (100.0%) missing valuesMissing
품목명 has 286 (100.0%) missing valuesMissing
최초등록시점 has 286 (100.0%) missing valuesMissing
지역구분명 has 282 (98.6%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 24 (8.4%) zerosZeros
시설면적 has 4 (1.4%) zerosZeros
지상층수 has 24 (8.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:23:10.764104
Analysis finished2024-05-11 05:23:12.025829
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3000000
286 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 286
100.0%

Length

2024-05-11T14:23:12.125444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:12.255696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 286
100.0%

관리번호
Text

UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:23:12.497039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5720
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

Unique286 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071994000001
2nd rowCDFF1241071999000001
3rd rowCDFF1241071999000002
4th rowCDFF1241072000000001
5th rowCDFF1241072000000002
ValueCountFrequency (%)
cdff1241071994000001 1
 
0.3%
cdff1241072021000013 1
 
0.3%
cdff1241072021000020 1
 
0.3%
cdff1241072021000018 1
 
0.3%
cdff1241072021000017 1
 
0.3%
cdff1241072021000016 1
 
0.3%
cdff1241072021000015 1
 
0.3%
cdff1241072021000024 1
 
0.3%
cdff1241072021000012 1
 
0.3%
cdff1241072021000022 1
 
0.3%
Other values (276) 276
96.5%
2024-05-11T14:23:12.974984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1969
34.4%
1 833
14.6%
2 833
14.6%
F 572
 
10.0%
4 344
 
6.0%
7 333
 
5.8%
C 286
 
5.0%
D 286
 
5.0%
3 88
 
1.5%
9 52
 
0.9%
Other values (3) 124
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4576
80.0%
Uppercase Letter 1144
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1969
43.0%
1 833
18.2%
2 833
18.2%
4 344
 
7.5%
7 333
 
7.3%
3 88
 
1.9%
9 52
 
1.1%
8 44
 
1.0%
5 40
 
0.9%
6 40
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 572
50.0%
C 286
25.0%
D 286
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4576
80.0%
Latin 1144
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1969
43.0%
1 833
18.2%
2 833
18.2%
4 344
 
7.5%
7 333
 
7.3%
3 88
 
1.9%
9 52
 
1.1%
8 44
 
1.0%
5 40
 
0.9%
6 40
 
0.9%
Latin
ValueCountFrequency (%)
F 572
50.0%
C 286
25.0%
D 286
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1969
34.4%
1 833
14.6%
2 833
14.6%
F 572
 
10.0%
4 344
 
6.0%
7 333
 
5.8%
C 286
 
5.0%
D 286
 
5.0%
3 88
 
1.5%
9 52
 
0.9%
Other values (3) 124
 
2.2%

인허가일자
Date

Distinct271
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1994-04-13 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:23:13.180222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:13.364950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
282 
20101231
 
4

Length

Max length8
Median length4
Mean length4.0559441
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 (%)
<NA> 282
98.6%
20101231 4
 
1.4%

Length

2024-05-11T14:23:13.552109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:13.700033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 282
98.6%
20101231 4
 
1.4%

영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1
219 
3
46 
5
 
17
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 219
76.6%
3 46
 
16.1%
5 17
 
5.9%
4 4
 
1.4%

Length

2024-05-11T14:23:13.840066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:13.981004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 219
76.6%
3 46
 
16.1%
5 17
 
5.9%
4 4
 
1.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업/정상
219 
폐업
46 
제외/삭제/전출
 
17
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length4.8216783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 219
76.6%
폐업 46
 
16.1%
제외/삭제/전출 17
 
5.9%
취소/말소/만료/정지/중지 4
 
1.4%

Length

2024-05-11T14:23:14.122199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:14.241395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 219
76.6%
폐업 46
 
16.1%
제외/삭제/전출 17
 
5.9%
취소/말소/만료/정지/중지 4
 
1.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
13
219 
3
44 
15
 
17
31
 
4
34
 
2

Length

Max length2
Median length2
Mean length1.8461538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 219
76.6%
3 44
 
15.4%
15 17
 
5.9%
31 4
 
1.4%
34 2
 
0.7%

Length

2024-05-11T14:23:14.361582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:14.509113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 219
76.6%
3 44
 
15.4%
15 17
 
5.9%
31 4
 
1.4%
34 2
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업중
219 
폐업
44 
전출
 
17
등록취소
 
4
영업장폐쇄
 
2

Length

Max length5
Median length3
Mean length2.8146853
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 219
76.6%
폐업 44
 
15.4%
전출 17
 
5.9%
등록취소 4
 
1.4%
영업장폐쇄 2
 
0.7%

Length

2024-05-11T14:23:14.652694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:14.794346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 219
76.6%
폐업 44
 
15.4%
전출 17
 
5.9%
등록취소 4
 
1.4%
영업장폐쇄 2
 
0.7%

폐업일자
Date

MISSING 

Distinct63
Distinct (%)100.0%
Missing223
Missing (%)78.0%
Memory size2.4 KiB
Minimum2007-04-23 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T14:23:14.968047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:15.157838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

전화번호
Text

MISSING 

Distinct171
Distinct (%)98.3%
Missing112
Missing (%)39.2%
Memory size2.4 KiB
2024-05-11T14:23:15.444728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.87931
Min length8

Characters and Unicode

Total characters1893
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)97.1%

Sample

1st row02-732-1895
2nd row02-2235-5540
3rd row02-735-4595
4th row02-2000-0509
5th row02-747-7782
ValueCountFrequency (%)
02-735-0424 3
 
1.7%
02-2013-0517 2
 
1.1%
027302581 1
 
0.6%
02-511-0543 1
 
0.6%
02-325-7001 1
 
0.6%
02-866-2639 1
 
0.6%
1522-6033 1
 
0.6%
02-744-8004 1
 
0.6%
02-3411-1891 1
 
0.6%
02-722-7133 1
 
0.6%
Other values (161) 161
92.5%
2024-05-11T14:23:15.859616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 329
17.4%
2 300
15.8%
- 290
15.3%
7 198
10.5%
3 176
9.3%
4 130
 
6.9%
1 116
 
6.1%
6 110
 
5.8%
5 102
 
5.4%
9 69
 
3.6%
Other values (3) 73
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1598
84.4%
Dash Punctuation 290
 
15.3%
Close Punctuation 4
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 329
20.6%
2 300
18.8%
7 198
12.4%
3 176
11.0%
4 130
 
8.1%
1 116
 
7.3%
6 110
 
6.9%
5 102
 
6.4%
9 69
 
4.3%
8 68
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1893
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 329
17.4%
2 300
15.8%
- 290
15.3%
7 198
10.5%
3 176
9.3%
4 130
 
6.9%
1 116
 
6.1%
6 110
 
5.8%
5 102
 
5.4%
9 69
 
3.6%
Other values (3) 73
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 329
17.4%
2 300
15.8%
- 290
15.3%
7 198
10.5%
3 176
9.3%
4 130
 
6.9%
1 116
 
6.1%
6 110
 
5.8%
5 102
 
5.4%
9 69
 
3.6%
Other values (3) 73
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)90.3%
Missing255
Missing (%)89.2%
Memory size2.4 KiB
2024-05-11T14:23:16.078685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0322581
Min length6

Characters and Unicode

Total characters187
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

Unique26 ?
Unique (%)83.9%

Sample

1st row110040
2nd row110826
3rd row110240
4th row110052
5th row110061
ValueCountFrequency (%)
110044 3
 
9.7%
110340 2
 
6.5%
110040 1
 
3.2%
110140 1
 
3.2%
110530 1
 
3.2%
110829 1
 
3.2%
110849 1
 
3.2%
110390 1
 
3.2%
110070 1
 
3.2%
110-040 1
 
3.2%
Other values (18) 18
58.1%
2024-05-11T14:23:16.476228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 70
37.4%
0 57
30.5%
4 17
 
9.1%
3 8
 
4.3%
8 8
 
4.3%
2 7
 
3.7%
5 6
 
3.2%
9 5
 
2.7%
6 5
 
2.7%
7 3
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 70
37.6%
0 57
30.6%
4 17
 
9.1%
3 8
 
4.3%
8 8
 
4.3%
2 7
 
3.8%
5 6
 
3.2%
9 5
 
2.7%
6 5
 
2.7%
7 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 70
37.4%
0 57
30.5%
4 17
 
9.1%
3 8
 
4.3%
8 8
 
4.3%
2 7
 
3.7%
5 6
 
3.2%
9 5
 
2.7%
6 5
 
2.7%
7 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 70
37.4%
0 57
30.5%
4 17
 
9.1%
3 8
 
4.3%
8 8
 
4.3%
2 7
 
3.7%
5 6
 
3.2%
9 5
 
2.7%
6 5
 
2.7%
7 3
 
1.6%

지번주소
Text

Distinct254
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:23:16.936627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length25.223776
Min length16

Characters and Unicode

Total characters7214
Distinct characters249
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

Unique230 ?
Unique (%)80.4%

Sample

1st row서울특별시 종로구 통의동 **번지 화암빌딩 *층
2nd row서울특별시 종로구 숭인동 ***번지 마동빌딩 ***호
3rd row서울특별시 종로구 안국동 ***-*번지 동신빌딩 ***호
4th row서울특별시 종로구 적선동 **-*번지 *층
5th row서울특별시 종로구 종로*가 **-*
ValueCountFrequency (%)
서울특별시 286
19.8%
종로구 286
19.8%
168
 
11.6%
번지 116
 
8.0%
호 36
 
2.5%
층 34
 
2.4%
신문로*가 21
 
1.5%
동숭동 17
 
1.2%
명륜*가 14
 
1.0%
평창동 13
 
0.9%
Other values (229) 452
31.3%
2024-05-11T14:23:17.642178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1328
18.4%
* 1188
16.5%
로 331
 
4.6%
종 306
 
4.2%
서 305
 
4.2%
구 296
 
4.1%
시 290
 
4.0%
울 289
 
4.0%
특 286
 
4.0%
별 286
 
4.0%
Other values (239) 2309
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4473
62.0%
Space Separator 1328
 
18.4%
Other Punctuation 1191
 
16.5%
Dash Punctuation 179
 
2.5%
Uppercase Letter 18
 
0.2%
Decimal Number 15
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 331
 
7.4%
종 306
 
6.8%
서 305
 
6.8%
구 296
 
6.6%
시 290
 
6.5%
울 289
 
6.5%
특 286
 
6.4%
별 286
 
6.4%
동 281
 
6.3%
지 135
 
3.0%
Other values (214) 1668
37.3%
Uppercase Letter
ValueCountFrequency (%)
D 4
22.2%
B 3
16.7%
A 2
11.1%
S 2
11.1%
U 2
11.1%
N 1
 
5.6%
O 1
 
5.6%
C 1
 
5.6%
Y 1
 
5.6%
R 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
7 2
 
13.3%
9 2
 
13.3%
3 1
 
6.7%
4 1
 
6.7%
8 1
 
6.7%
2 1
 
6.7%
5 1
 
6.7%
0 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 1188
99.7%
, 3
 
0.3%
Space Separator
ValueCountFrequency (%)
1328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4473
62.0%
Common 2723
37.7%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 331
 
7.4%
종 306
 
6.8%
서 305
 
6.8%
구 296
 
6.6%
시 290
 
6.5%
울 289
 
6.5%
특 286
 
6.4%
별 286
 
6.4%
동 281
 
6.3%
지 135
 
3.0%
Other values (214) 1668
37.3%
Common
ValueCountFrequency (%)
1328
48.8%
* 1188
43.6%
- 179
 
6.6%
1 5
 
0.2%
( 5
 
0.2%
) 5
 
0.2%
, 3
 
0.1%
7 2
 
0.1%
9 2
 
0.1%
3 1
 
< 0.1%
Other values (5) 5
 
0.2%
Latin
ValueCountFrequency (%)
D 4
22.2%
B 3
16.7%
A 2
11.1%
S 2
11.1%
U 2
11.1%
N 1
 
5.6%
O 1
 
5.6%
C 1
 
5.6%
Y 1
 
5.6%
R 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4473
62.0%
ASCII 2741
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1328
48.4%
* 1188
43.3%
- 179
 
6.5%
1 5
 
0.2%
( 5
 
0.2%
) 5
 
0.2%
D 4
 
0.1%
B 3
 
0.1%
, 3
 
0.1%
A 2
 
0.1%
Other values (15) 19
 
0.7%
Hangul
ValueCountFrequency (%)
로 331
 
7.4%
종 306
 
6.8%
서 305
 
6.8%
구 296
 
6.6%
시 290
 
6.5%
울 289
 
6.5%
특 286
 
6.4%
별 286
 
6.4%
동 281
 
6.3%
지 135
 
3.0%
Other values (214) 1668
37.3%

도로명주소
Text

Distinct267
Distinct (%)94.0%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-05-11T14:23:18.054119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length34.193662
Min length22

Characters and Unicode

Total characters9711
Distinct characters268
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

Unique252 ?
Unique (%)88.7%

Sample

1st row서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)
2nd row서울특별시 종로구 율곡로 ** (안국동,동신빌딩 ***호)
3rd row서울특별시 종로구 사직로 *** (적선동,*층)
4th row서울특별시 종로구 종로 *** (종로*가)
5th row서울특별시 종로구 새문안로 ** (신문로*가,태광산업신문로사옥 **층)
ValueCountFrequency (%)
287
 
15.1%
서울특별시 284
 
15.0%
종로구 284
 
15.0%
층 130
 
6.8%
호 104
 
5.5%
종로 20
 
1.1%
신문로*가 18
 
0.9%
동숭동 15
 
0.8%
율곡로 15
 
0.8%
명륜*가 13
 
0.7%
Other values (348) 728
38.4%
2024-05-11T14:23:19.455448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1662
17.1%
* 1473
 
15.2%
로 548
 
5.6%
종 339
 
3.5%
동 315
 
3.2%
서 302
 
3.1%
, 298
 
3.1%
구 294
 
3.0%
시 288
 
3.0%
울 287
 
3.0%
Other values (258) 3905
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5597
57.6%
Other Punctuation 1771
 
18.2%
Space Separator 1662
 
17.1%
Close Punctuation 287
 
3.0%
Open Punctuation 287
 
3.0%
Dash Punctuation 54
 
0.6%
Decimal Number 26
 
0.3%
Uppercase Letter 26
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 548
 
9.8%
종 339
 
6.1%
동 315
 
5.6%
서 302
 
5.4%
구 294
 
5.3%
시 288
 
5.1%
울 287
 
5.1%
특 284
 
5.1%
별 284
 
5.1%
길 164
 
2.9%
Other values (230) 2492
44.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
23.1%
B 5
19.2%
D 4
15.4%
S 2
 
7.7%
U 2
 
7.7%
R 1
 
3.8%
N 1
 
3.8%
O 1
 
3.8%
L 1
 
3.8%
E 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 9
34.6%
5 4
15.4%
3 4
15.4%
6 2
 
7.7%
4 2
 
7.7%
0 2
 
7.7%
2 1
 
3.8%
9 1
 
3.8%
7 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
* 1473
83.2%
, 298
 
16.8%
Space Separator
ValueCountFrequency (%)
1662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5597
57.6%
Common 4088
42.1%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 548
 
9.8%
종 339
 
6.1%
동 315
 
5.6%
서 302
 
5.4%
구 294
 
5.3%
시 288
 
5.1%
울 287
 
5.1%
특 284
 
5.1%
별 284
 
5.1%
길 164
 
2.9%
Other values (230) 2492
44.5%
Common
ValueCountFrequency (%)
1662
40.7%
* 1473
36.0%
, 298
 
7.3%
) 287
 
7.0%
( 287
 
7.0%
- 54
 
1.3%
1 9
 
0.2%
5 4
 
0.1%
3 4
 
0.1%
6 2
 
< 0.1%
Other values (6) 8
 
0.2%
Latin
ValueCountFrequency (%)
A 6
23.1%
B 5
19.2%
D 4
15.4%
S 2
 
7.7%
U 2
 
7.7%
R 1
 
3.8%
N 1
 
3.8%
O 1
 
3.8%
L 1
 
3.8%
E 1
 
3.8%
Other values (2) 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5597
57.6%
ASCII 4114
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1662
40.4%
* 1473
35.8%
, 298
 
7.2%
) 287
 
7.0%
( 287
 
7.0%
- 54
 
1.3%
1 9
 
0.2%
A 6
 
0.1%
B 5
 
0.1%
D 4
 
0.1%
Other values (18) 29
 
0.7%
Hangul
ValueCountFrequency (%)
로 548
 
9.8%
종 339
 
6.1%
동 315
 
5.6%
서 302
 
5.4%
구 294
 
5.3%
시 288
 
5.1%
울 287
 
5.1%
특 284
 
5.1%
별 284
 
5.1%
길 164
 
2.9%
Other values (230) 2492
44.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)47.6%
Missing53
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean4488.7682
Minimum3001
Maximum110715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:19.908981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001
5-th percentile3009.6
Q13053
median3123
Q33159
95-th percentile3190
Maximum110715
Range107714
Interquartile range (IQR)106

Descriptive statistics

Standard deviation12133.251
Coefficient of variation (CV)2.7030246
Kurtosis74.289008
Mean4488.7682
Median Absolute Deviation (MAD)52
Skewness8.6976348
Sum1045883
Variance1.4721578 × 108
MonotonicityNot monotonic
2024-05-11T14:23:20.912721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3142 11
 
3.8%
3086 8
 
2.8%
3187 7
 
2.4%
3150 7
 
2.4%
3175 7
 
2.4%
3076 5
 
1.7%
3053 5
 
1.7%
3132 4
 
1.4%
3041 4
 
1.4%
3149 4
 
1.4%
Other values (101) 171
59.8%
(Missing) 53
 
18.5%
ValueCountFrequency (%)
3001 2
0.7%
3003 4
1.4%
3004 1
 
0.3%
3005 1
 
0.3%
3007 1
 
0.3%
3008 2
0.7%
3009 1
 
0.3%
3010 1
 
0.3%
3011 1
 
0.3%
3012 1
 
0.3%
ValueCountFrequency (%)
110715 2
 
0.7%
110061 1
 
0.3%
3197 1
 
0.3%
3194 3
1.0%
3192 1
 
0.3%
3191 2
 
0.7%
3190 4
1.4%
3189 1
 
0.3%
3187 7
2.4%
3186 4
1.4%

사업장명
Text

UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:23:21.433772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length9.2937063
Min length2

Characters and Unicode

Total characters2658
Distinct characters370
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)100.0%

Sample

1st row미디어필림인터내셔날(주)
2nd row스카이뮤즈
3rd row현대미디어
4th row디자인은행
5th row(주)와이비엠
ValueCountFrequency (%)
주식회사 81
 
19.8%
사단법인 3
 
0.7%
주 3
 
0.7%
the 2
 
0.5%
웹툰올 2
 
0.5%
co 2
 
0.5%
ltd 2
 
0.5%
렛잇플로우 2
 
0.5%
어피스어피스 1
 
0.2%
주)티엠제이아이에스 1
 
0.2%
Other values (311) 311
75.9%
2024-05-11T14:23:22.117815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 192
 
7.2%
) 127
 
4.8%
( 127
 
4.8%
124
 
4.7%
사 99
 
3.7%
이 88
 
3.3%
회 87
 
3.3%
식 86
 
3.2%
스 64
 
2.4%
디 57
 
2.1%
Other values (360) 1607
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2030
76.4%
Uppercase Letter 128
 
4.8%
Close Punctuation 127
 
4.8%
Open Punctuation 127
 
4.8%
Space Separator 124
 
4.7%
Lowercase Letter 103
 
3.9%
Decimal Number 9
 
0.3%
Other Punctuation 8
 
0.3%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 192
 
9.5%
사 99
 
4.9%
이 88
 
4.3%
회 87
 
4.3%
식 86
 
4.2%
스 64
 
3.2%
디 57
 
2.8%
인 38
 
1.9%
어 37
 
1.8%
에 35
 
1.7%
Other values (307) 1247
61.4%
Uppercase Letter
ValueCountFrequency (%)
T 11
 
8.6%
A 11
 
8.6%
O 11
 
8.6%
R 9
 
7.0%
C 8
 
6.2%
S 7
 
5.5%
I 7
 
5.5%
B 7
 
5.5%
L 7
 
5.5%
D 7
 
5.5%
Other values (13) 43
33.6%
Lowercase Letter
ValueCountFrequency (%)
o 16
15.5%
e 14
13.6%
i 9
8.7%
n 9
8.7%
m 7
 
6.8%
t 6
 
5.8%
s 6
 
5.8%
r 6
 
5.8%
l 5
 
4.9%
h 4
 
3.9%
Other values (7) 21
20.4%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
2 2
22.2%
5 1
 
11.1%
7 1
 
11.1%
1 1
 
11.1%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
, 2
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2031
76.4%
Common 396
 
14.9%
Latin 231
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 192
 
9.5%
사 99
 
4.9%
이 88
 
4.3%
회 87
 
4.3%
식 86
 
4.2%
스 64
 
3.2%
디 57
 
2.8%
인 38
 
1.9%
어 37
 
1.8%
에 35
 
1.7%
Other values (308) 1248
61.4%
Latin
ValueCountFrequency (%)
o 16
 
6.9%
e 14
 
6.1%
T 11
 
4.8%
A 11
 
4.8%
O 11
 
4.8%
i 9
 
3.9%
n 9
 
3.9%
R 9
 
3.9%
C 8
 
3.5%
S 7
 
3.0%
Other values (30) 126
54.5%
Common
ValueCountFrequency (%)
) 127
32.1%
( 127
32.1%
124
31.3%
. 6
 
1.5%
4 3
 
0.8%
, 2
 
0.5%
2 2
 
0.5%
5 1
 
0.3%
7 1
 
0.3%
- 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2030
76.4%
ASCII 627
 
23.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 192
 
9.5%
사 99
 
4.9%
이 88
 
4.3%
회 87
 
4.3%
식 86
 
4.2%
스 64
 
3.2%
디 57
 
2.8%
인 38
 
1.9%
어 37
 
1.8%
에 35
 
1.7%
Other values (307) 1247
61.4%
ASCII
ValueCountFrequency (%)
) 127
20.3%
( 127
20.3%
124
19.8%
o 16
 
2.6%
e 14
 
2.2%
T 11
 
1.8%
A 11
 
1.8%
O 11
 
1.8%
i 9
 
1.4%
n 9
 
1.4%
Other values (42) 168
26.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2006-02-10 16:29:43
Maximum2024-05-07 12:59:39
2024-05-11T14:23:22.357298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:22.573919image/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 size2.4 KiB
I
201 
U
85 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 201
70.3%
U 85
29.7%

Length

2024-05-11T14:23:22.782688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:22.938989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 201
70.3%
u 85
29.7%

데이터갱신일자
Date

Distinct190
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:23:23.102627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:23.344097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct227
Distinct (%)79.9%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean198491.07
Minimum196072.17
Maximum201960.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:23.646089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196072.17
5-th percentile196769.64
Q1197481.61
median198324.65
Q3199519.05
95-th percentile200350.97
Maximum201960.3
Range5888.1359
Interquartile range (IQR)2037.4439

Descriptive statistics

Standard deviation1259.4785
Coefficient of variation (CV)0.0063452652
Kurtosis-0.48080633
Mean198491.07
Median Absolute Deviation (MAD)876.03337
Skewness0.41694414
Sum56371464
Variance1586286.1
MonotonicityNot monotonic
2024-05-11T14:23:23.883882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198324.653631679 7
 
2.4%
198176.159239663 7
 
2.4%
198101.593328721 4
 
1.4%
197995.218793409 4
 
1.4%
197567.747824202 3
 
1.0%
197700.034013631 3
 
1.0%
197401.904439938 3
 
1.0%
198910.899366062 3
 
1.0%
197448.620265418 3
 
1.0%
197567.93800572 3
 
1.0%
Other values (217) 244
85.3%
ValueCountFrequency (%)
196072.168444665 1
0.3%
196079.544115659 2
0.7%
196116.811870725 1
0.3%
196139.022291285 1
0.3%
196188.676804345 1
0.3%
196287.948052917 1
0.3%
196335.329427755 1
0.3%
196498.36804111 1
0.3%
196595.264091624 1
0.3%
196621.795029068 1
0.3%
ValueCountFrequency (%)
201960.304346071 1
0.3%
201946.86632604 1
0.3%
201915.038 1
0.3%
201529.832259403 1
0.3%
201452.97033909 1
0.3%
201386.764040971 1
0.3%
201282.378349367 1
0.3%
201012.222381882 1
0.3%
200849.309018022 1
0.3%
200771.454512582 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct227
Distinct (%)79.9%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean452969.37
Minimum451670.16
Maximum457195.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:24.084583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451670.16
5-th percentile451938.04
Q1452252.81
median452574.67
Q3453303.92
95-th percentile455988.58
Maximum457195.67
Range5525.5124
Interquartile range (IQR)1051.1072

Descriptive statistics

Standard deviation1120.8595
Coefficient of variation (CV)0.0024744709
Kurtosis3.4079094
Mean452969.37
Median Absolute Deviation (MAD)485.43425
Skewness1.877681
Sum1.286433 × 108
Variance1256326.1
MonotonicityNot monotonic
2024-05-11T14:23:24.287297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452252.812389497 7
 
2.4%
452574.67151361 7
 
2.4%
452496.362099822 4
 
1.4%
451945.047247204 4
 
1.4%
452347.973860449 3
 
1.0%
452022.503467072 3
 
1.0%
452516.953248571 3
 
1.0%
452750.505122507 3
 
1.0%
452672.128133671 3
 
1.0%
452276.454633376 3
 
1.0%
Other values (217) 244
85.3%
ValueCountFrequency (%)
451670.158825331 1
 
0.3%
451811.272474605 2
0.7%
451816.038182067 1
 
0.3%
451854.820889784 1
 
0.3%
451888.555001545 3
1.0%
451911.789172214 1
 
0.3%
451914.457343408 1
 
0.3%
451917.062537808 2
0.7%
451918.372060065 2
0.7%
451938.037703258 3
1.0%
ValueCountFrequency (%)
457195.671211601 1
0.3%
457056.172712929 1
0.3%
456743.591975351 1
0.3%
456710.905147886 2
0.7%
456572.051509936 1
0.3%
456567.468720638 1
0.3%
456457.289965967 1
0.3%
456220.012148299 1
0.3%
456219.275317982 1
0.3%
456211.92274867 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
비디오물제작업
193 
<NA>
93 

Length

Max length7
Median length7
Mean length6.0244755
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 193
67.5%
<NA> 93
32.5%

Length

2024-05-11T14:23:24.503199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:24.692406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 193
67.5%
na 93
32.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
253 
유통관련업
33 

Length

Max length5
Median length4
Mean length4.1153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 253
88.5%
유통관련업 33
 
11.5%

Length

2024-05-11T14:23:24.889977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:25.061057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
88.5%
유통관련업 33
 
11.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)23.3%
Missing256
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean2.1
Minimum0
Maximum23
Zeros24
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:25.220628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.65
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3002928
Coefficient of variation (CV)2.5239489
Kurtosis8.4358002
Mean2.1
Median Absolute Deviation (MAD)0
Skewness2.8684317
Sum63
Variance28.093103
MonotonicityNot monotonic
2024-05-11T14:23:25.379518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
 
8.4%
8 1
 
0.3%
6 1
 
0.3%
11 1
 
0.3%
1 1
 
0.3%
14 1
 
0.3%
23 1
 
0.3%
(Missing) 256
89.5%
ValueCountFrequency (%)
0 24
8.4%
1 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
14 1
 
0.3%
23 1
 
0.3%
ValueCountFrequency (%)
23 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
1 1
 
0.3%
0 24
8.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing284
Missing (%)99.3%
Memory size2.4 KiB
2024-05-11T14:23:25.514042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T14:23:25.927995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct121
Distinct (%)63.7%
Missing96
Missing (%)33.6%
Memory size2.4 KiB
2024-05-11T14:23:26.298015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length9.6105263
Min length2

Characters and Unicode

Total characters1826
Distinct characters169
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

Unique110 ?
Unique (%)57.9%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 71
 
17.0%
제작 28
 
6.7%
및 26
 
6.2%
영상 19
 
4.5%
광고 17
 
4.1%
등 17
 
4.1%
영상물 13
 
3.1%
영화 12
 
2.9%
홍보영상 10
 
2.4%
영상제작 6
 
1.4%
Other values (147) 199
47.6%
2024-05-11T14:23:26.941991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
 
12.5%
영 139
 
7.6%
상 121
 
6.6%
물 116
 
6.4%
디 95
 
5.2%
오 94
 
5.1%
비 93
 
5.1%
, 92
 
5.0%
제 49
 
2.7%
작 47
 
2.6%
Other values (159) 752
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1413
77.4%
Space Separator 228
 
12.5%
Other Punctuation 98
 
5.4%
Uppercase Letter 62
 
3.4%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.3%
Decimal Number 3
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 139
 
9.8%
상 121
 
8.6%
물 116
 
8.2%
디 95
 
6.7%
오 94
 
6.7%
비 93
 
6.6%
제 49
 
3.5%
작 47
 
3.3%
홍 43
 
3.0%
보 43
 
3.0%
Other values (130) 573
40.6%
Uppercase Letter
ValueCountFrequency (%)
D 14
22.6%
V 11
17.7%
C 7
11.3%
T 7
11.3%
F 6
9.7%
S 3
 
4.8%
U 3
 
4.8%
R 3
 
4.8%
O 2
 
3.2%
B 2
 
3.2%
Other values (4) 4
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
e 1
16.7%
b 1
16.7%
u 1
16.7%
v 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 92
93.9%
? 3
 
3.1%
. 2
 
2.0%
/ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1413
77.4%
Common 345
 
18.9%
Latin 68
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 139
 
9.8%
상 121
 
8.6%
물 116
 
8.2%
디 95
 
6.7%
오 94
 
6.7%
비 93
 
6.6%
제 49
 
3.5%
작 47
 
3.3%
홍 43
 
3.0%
보 43
 
3.0%
Other values (130) 573
40.6%
Latin
ValueCountFrequency (%)
D 14
20.6%
V 11
16.2%
C 7
10.3%
T 7
10.3%
F 6
8.8%
S 3
 
4.4%
U 3
 
4.4%
R 3
 
4.4%
O 2
 
2.9%
B 2
 
2.9%
Other values (10) 10
14.7%
Common
ValueCountFrequency (%)
228
66.1%
, 92
26.7%
( 7
 
2.0%
) 7
 
2.0%
3 3
 
0.9%
? 3
 
0.9%
- 2
 
0.6%
. 2
 
0.6%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1413
77.4%
ASCII 413
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
55.2%
, 92
22.3%
D 14
 
3.4%
V 11
 
2.7%
C 7
 
1.7%
( 7
 
1.7%
) 7
 
1.7%
T 7
 
1.7%
F 6
 
1.5%
S 3
 
0.7%
Other values (19) 31
 
7.5%
Hangul
ValueCountFrequency (%)
영 139
 
9.8%
상 121
 
8.6%
물 116
 
8.2%
디 95
 
6.7%
오 94
 
6.7%
비 93
 
6.6%
제 49
 
3.5%
작 47
 
3.3%
홍 43
 
3.0%
보 43
 
3.0%
Other values (130) 573
40.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct143
Distinct (%)96.0%
Missing137
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean260.10564
Minimum0
Maximum10751
Zeros4
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:27.206927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.82
Q141
median85
Q3135
95-th percentile889.42
Maximum10751
Range10751
Interquartile range (IQR)94

Descriptive statistics

Standard deviation935.41701
Coefficient of variation (CV)3.5962966
Kurtosis108.55676
Mean260.10564
Median Absolute Deviation (MAD)47.33
Skewness9.8292899
Sum38755.74
Variance875004.99
MonotonicityNot monotonic
2024-05-11T14:23:27.428195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
1.4%
78.0 2
 
0.7%
198.0 2
 
0.7%
36.23 2
 
0.7%
111.0 1
 
0.3%
81.92 1
 
0.3%
92.0 1
 
0.3%
59.94 1
 
0.3%
115.0 1
 
0.3%
78.77 1
 
0.3%
Other values (133) 133
46.5%
(Missing) 137
47.9%
ValueCountFrequency (%)
0.0 4
1.4%
6.45 1
 
0.3%
6.6 1
 
0.3%
7.5 1
 
0.3%
8.1 1
 
0.3%
9.9 1
 
0.3%
11.56 1
 
0.3%
15.0 1
 
0.3%
15.07 1
 
0.3%
16.0 1
 
0.3%
ValueCountFrequency (%)
10751.0 1
0.3%
2097.61 1
0.3%
1931.0 1
0.3%
1713.0 1
0.3%
1697.57 1
0.3%
1579.0 1
0.3%
1167.65 1
0.3%
915.7 1
0.3%
850.0 1
0.3%
844.79 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)18.8%
Missing254
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean1.71875
Minimum0
Maximum17
Zeros24
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T14:23:27.613366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation3.9368759
Coefficient of variation (CV)2.290546
Kurtosis7.2873655
Mean1.71875
Median Absolute Deviation (MAD)0
Skewness2.6871044
Sum55
Variance15.498992
MonotonicityNot monotonic
2024-05-11T14:23:27.764499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
 
8.4%
2 3
 
1.0%
10 2
 
0.7%
7 1
 
0.3%
5 1
 
0.3%
17 1
 
0.3%
(Missing) 254
88.8%
ValueCountFrequency (%)
0 24
8.4%
2 3
 
1.0%
5 1
 
0.3%
7 1
 
0.3%
10 2
 
0.7%
17 1
 
0.3%
ValueCountFrequency (%)
17 1
 
0.3%
10 2
 
0.7%
7 1
 
0.3%
5 1
 
0.3%
2 3
 
1.0%
0 24
8.4%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
257 
0
 
24
1
 
3
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.6958042
Min length1

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> 257
89.9%
0 24
 
8.4%
1 3
 
1.0%
4 1
 
0.3%
6 1
 
0.3%

Length

2024-05-11T14:23:27.951774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:28.148548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
89.9%
0 24
 
8.4%
1 3
 
1.0%
4 1
 
0.3%
6 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
279 
사무실
 
5
기타
 
1
근린생활시설
 
1

Length

Max length6
Median length4
Mean length3.9825175
Min length2

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> 279
97.6%
사무실 5
 
1.7%
기타 1
 
0.3%
근린생활시설 1
 
0.3%

Length

2024-05-11T14:23:28.357819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:28.532933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 279
97.6%
사무실 5
 
1.7%
기타 1
 
0.3%
근린생활시설 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
262 
0
 
24

Length

Max length4
Median length4
Mean length3.7482517
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> 262
91.6%
0 24
 
8.4%

Length

2024-05-11T14:23:28.707715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:28.863310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
91.6%
0 24
 
8.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
262 
0
 
24

Length

Max length4
Median length4
Mean length3.7482517
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> 262
91.6%
0 24
 
8.4%

Length

2024-05-11T14:23:29.047099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:29.204980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
91.6%
0 24
 
8.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
262 
0
 
24

Length

Max length4
Median length4
Mean length3.7482517
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> 262
91.6%
0 24
 
8.4%

Length

2024-05-11T14:23:29.378320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:29.534817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
91.6%
0 24
 
8.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
262 
0
 
24

Length

Max length4
Median length4
Mean length3.7482517
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> 262
91.6%
0 24
 
8.4%

Length

2024-05-11T14:23:29.715690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:29.875076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
91.6%
0 24
 
8.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
262 
0
 
24

Length

Max length4
Median length4
Mean length3.7482517
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> 262
91.6%
0 24
 
8.4%

Length

2024-05-11T14:23:30.039218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:30.199797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
91.6%
0 24
 
8.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing286
Missing (%)100.0%
Memory size2.6 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing282
Missing (%)98.6%
Memory size2.4 KiB
2024-05-11T14:23:30.393114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters8
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 (%)25.0%

Sample

1st row일반상업지역
2nd row주거지역
3rd row일반상업지역
4th row일반상업지역
ValueCountFrequency (%)
일반상업지역 3
75.0%
주거지역 1
 
25.0%
2024-05-11T14:23:30.854542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
일 3
13.6%
반 3
13.6%
상 3
13.6%
업 3
13.6%
주 1
 
4.5%
거 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
일 3
13.6%
반 3
13.6%
상 3
13.6%
업 3
13.6%
주 1
 
4.5%
거 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
일 3
13.6%
반 3
13.6%
상 3
13.6%
업 3
13.6%
주 1
 
4.5%
거 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
일 3
13.6%
반 3
13.6%
상 3
13.6%
업 3
13.6%
주 1
 
4.5%
거 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF124107199400000119940413<NA>3폐업3폐업20080121<NA><NA><NA>02-732-1895<NA>110040서울특별시 종로구 통의동 **번지 화암빌딩 *층서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)<NA>미디어필림인터내셔날(주)2008-01-21 16:35:52I2018-08-31 23:59:59.0<NA>197486.619352452879.662626비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFF124107199900000119990730<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2235-5540<NA>110826서울특별시 종로구 숭인동 ***번지 마동빌딩 ***호<NA><NA>스카이뮤즈2007-06-25 16:35:53I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFF124107199900000219991025<NA>1영업/정상13영업중<NA><NA><NA><NA>02-735-4595<NA>110240서울특별시 종로구 안국동 ***-*번지 동신빌딩 ***호서울특별시 종로구 율곡로 ** (안국동,동신빌딩 ***호)<NA>현대미디어2007-06-25 17:09:03I2018-08-31 23:59:59.0<NA>198643.387113452713.533496비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF124107200000000120000817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110052서울특별시 종로구 적선동 **-*번지 *층서울특별시 종로구 사직로 *** (적선동,*층)<NA>디자인은행2007-05-01 11:33:30I2018-08-31 23:59:59.0<NA>197607.103379452638.787294비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFF124107200000000220000523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2000-0509<NA><NA>서울특별시 종로구 종로*가 **-*서울특별시 종로구 종로 *** (종로*가)<NA>(주)와이비엠2022-07-08 14:37:08U2021-12-06 23:02:00.0<NA>198939.372168451961.195543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFF124107200100000120010508<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-7782<NA>110061서울특별시 종로구 신문로*가 ***번지 태광산업신문로사옥 **층서울특별시 종로구 새문안로 ** (신문로*가,태광산업신문로사옥 **층)<NA>(주)영화사백두대간2007-06-23 15:18:31I2018-08-31 23:59:59.0<NA>197482.20533451938.307925비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFF124107200100000220010919<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-3300<NA><NA>서울특별시 종로구 충신동 **번지 예일빌딩 *층서울특별시 종로구 율곡로 *** (충신동)3123(주)디엔에이엔터테인먼트2013-12-31 13:43:57I2018-08-31 23:59:59.0<NA>200342.282273452556.296391비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF124107200100000320011122<NA>3폐업34영업장폐쇄20081202<NA><NA><NA>02-723-3744<NA>110044서울특별시 종로구 필운동 **번지 배화여대인터넷창업보육센터서울특별시 종로구 필운대로*길 ** (필운동,배화여대인터넷창업보육센터)<NA>(주)플레이에듀테인먼트2008-12-02 09:32:17I2018-08-31 23:59:59.0<NA>197002.668256452893.430637비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF124107200200000220021214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-723-6277<NA>110032서울특별시 종로구 신교동 **-*번지 *층서울특별시 종로구 자하문로 ** (신교동,*층)<NA>(주)아트컨설팅서울2007-06-26 09:53:10I2018-08-31 23:59:59.0<NA>197288.633146453473.855294비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFF124107200200000320020521<NA>3폐업3폐업20140203<NA><NA><NA>02-743-0377<NA>110736서울특별시 종로구 연지동 ***-**번지 기독교회관 ***호서울특별시 종로구 대학로 ** (연지동,기독교회관 ***호)<NA>파고다기획2014-02-03 17:27:30I2018-08-31 23:59:59.0<NA>200072.378102452291.689518비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><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
2763000000CDFF12410720240000042020-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 중학동 ** 트윈 트리 빌딩서울특별시 종로구 율곡로 *, 트윈 트리 빌딩 A동 **층 L호 (중학동)3142오디오가이(주)2024-01-24 18:04:51I2023-11-30 22:06:00.0<NA>198176.15924452574.671514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2773000000CDFF12410720240000052024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 중학동 ** 트윈 트리 빌딩서울특별시 종로구 율곡로 *, 트윈 트리 빌딩 비동 **층 (중학동)3142주식회사 런앤이매진2024-02-06 10:40:49I2023-12-02 00:08:00.0<NA>198176.15924452574.671514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2783000000CDFF12410720240000062010-11-18<NA>1영업/정상13영업중<NA><NA><NA><NA>027710805<NA><NA>서울특별시 종로구 신문로*가 **-** 내일신문서울특별시 종로구 새문안로*길 *, 내일신문 *층 (신문로*가)3175(주)브랜드쿡2024-03-07 09:05:10I2023-12-03 00:09:00.0<NA>197493.366694452050.840656<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2793000000CDFF12410720240000072024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>027302581<NA><NA>서울특별시 종로구 무악동 **-*서울특별시 종로구 통일로 ***, *층 *(***호)호 (무악동)3030사법신문고TV 유튜브방송국2024-03-12 19:55:13I2023-12-02 23:04:00.0<NA>196079.544116452655.045596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2803000000CDFF12410720240000082024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 누상동 ***-*** 선우하이빌서울특별시 종로구 옥인*길 **, ***호 (누상동, 선우하이빌)3038hnh2024-03-14 09:38:39I2023-12-02 23:06:00.0<NA>196809.782486453089.108152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2813000000CDFF12410720240000092024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 서린동 *** 청계 한국빌딩서울특별시 종로구 청계천로 **, 청계한국빌딩 **층 ****-*호 (서린동)3187주식회사 위트웍스(WITWORKS CO. ,LTD.)2024-03-20 10:52:34I2023-12-02 22:02:00.0<NA>198057.201457451911.789172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2823000000CDFF12410720240000102024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>027459335<NA><NA>서울특별시 종로구 원남동 **-* 동명빌딩서울특별시 종로구 창경궁로**길 **, 동명빌딩 *층 (원남동)3127더풀프로덕션2024-03-27 09:12:43I2023-12-02 22:09:00.0<NA>199781.699581452511.193211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2833000000CDFF12410720240000112024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>023911022<NA><NA>서울특별시 종로구 부암동 ***-** 쌈지빌딩서울특별시 종로구 자하문로 ***, 쌈지빌딩 *층 (부암동)3020샵온스튜디오(㈜벤트리프로젝트)2024-03-28 15:04:41I2023-12-02 21:00:00.0<NA>196748.464829454791.837763<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2843000000CDFF12410720240000122024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-745-3880<NA><NA>서울특별시 종로구 원서동 *** (주)용비서울특별시 종로구 창덕궁길 **-**, *층 (원서동)3058(주)플레이온컴퍼니2024-04-18 17:21:13I2023-12-03 22:00:00.0<NA>198909.937719452950.338081<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2853000000CDFF12410720240000132024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 무악동 **-*서울특별시 종로구 통일로 ***, *층 ***호 (무악동)3030사법혁명TV유튜브방송국2024-04-30 19:11:39I2023-12-05 00:02:00.0<NA>196079.544116452655.045596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>