Overview

Dataset statistics

Number of variables56
Number of observations85
Missing cells3205
Missing cells (%)67.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.7 KiB
Average record size in memory490.6 B

Variable types

Categorical7
Text7
DateTime4
Unsupported35
Numeric3

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17629/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 85 (100.0%) missing valuesMissing
폐업일자 has 68 (80.0%) missing valuesMissing
휴업시작일자 has 85 (100.0%) missing valuesMissing
휴업종료일자 has 85 (100.0%) missing valuesMissing
재개업일자 has 85 (100.0%) missing valuesMissing
전화번호 has 39 (45.9%) missing valuesMissing
소재지면적 has 85 (100.0%) missing valuesMissing
소재지우편번호 has 79 (92.9%) missing valuesMissing
도로명주소 has 3 (3.5%) missing valuesMissing
도로명우편번호 has 16 (18.8%) missing valuesMissing
업태구분명 has 85 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.2%) missing valuesMissing
좌표정보(Y) has 1 (1.2%) missing valuesMissing
문화사업자구분명 has 85 (100.0%) missing valuesMissing
총층수 has 85 (100.0%) missing valuesMissing
주변환경명 has 85 (100.0%) missing valuesMissing
제작취급품목내용 has 85 (100.0%) missing valuesMissing
시설면적 has 85 (100.0%) missing valuesMissing
지상층수 has 85 (100.0%) missing valuesMissing
지하층수 has 85 (100.0%) missing valuesMissing
건물용도명 has 85 (100.0%) missing valuesMissing
통로너비 has 85 (100.0%) missing valuesMissing
조명시설조도 has 85 (100.0%) missing valuesMissing
노래방실수 has 85 (100.0%) missing valuesMissing
청소년실수 has 85 (100.0%) missing valuesMissing
비상계단여부 has 85 (100.0%) missing valuesMissing
비상구여부 has 85 (100.0%) missing valuesMissing
자동환기여부 has 85 (100.0%) missing valuesMissing
청소년실여부 has 85 (100.0%) missing valuesMissing
특수조명여부 has 85 (100.0%) missing valuesMissing
방음시설여부 has 85 (100.0%) missing valuesMissing
비디오재생기명 has 85 (100.0%) missing valuesMissing
조명시설유무 has 85 (100.0%) missing valuesMissing
음향시설여부 has 85 (100.0%) missing valuesMissing
편의시설여부 has 85 (100.0%) missing valuesMissing
소방시설여부 has 85 (100.0%) missing valuesMissing
총게임기수 has 85 (100.0%) missing valuesMissing
기존게임업외업종명 has 85 (100.0%) missing valuesMissing
제공게임물명 has 85 (100.0%) missing valuesMissing
공연장형태구분명 has 85 (100.0%) missing valuesMissing
품목명 has 85 (100.0%) missing valuesMissing
최초등록시점 has 23 (27.1%) missing valuesMissing
지역구분명 has 85 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:24:07.549783
Analysis finished2024-04-29 19:24:08.361472
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
3020000
85 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 85
100.0%

Length

2024-04-30T04:24:08.430956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:08.521562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 85
100.0%

관리번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-04-30T04:24:08.671354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1700
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

Unique85 ?
Unique (%)100.0%

Sample

1st rowCDFF5211031999000002
2nd rowCDFF5211032000000001
3rd rowCDFF5211032000000002
4th rowCDFF5211032004000001
5th rowCDFF5211032004000002
ValueCountFrequency (%)
cdff5211031999000002 1
 
1.2%
cdff5211032017000007 1
 
1.2%
cdff5211032020000005 1
 
1.2%
cdff5211032020000004 1
 
1.2%
cdff5211032020000003 1
 
1.2%
cdff5211032020000001 1
 
1.2%
cdff5211032019000006 1
 
1.2%
cdff5211032019000005 1
 
1.2%
cdff5211032019000004 1
 
1.2%
cdff5211032019000003 1
 
1.2%
Other values (75) 75
88.2%
2024-04-30T04:24:08.967804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 615
36.2%
1 254
14.9%
2 213
 
12.5%
F 170
 
10.0%
3 118
 
6.9%
5 99
 
5.8%
C 85
 
5.0%
D 85
 
5.0%
9 15
 
0.9%
4 13
 
0.8%
Other values (3) 33
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1360
80.0%
Uppercase Letter 340
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 615
45.2%
1 254
18.7%
2 213
 
15.7%
3 118
 
8.7%
5 99
 
7.3%
9 15
 
1.1%
4 13
 
1.0%
7 12
 
0.9%
6 12
 
0.9%
8 9
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 170
50.0%
C 85
25.0%
D 85
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1360
80.0%
Latin 340
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 615
45.2%
1 254
18.7%
2 213
 
15.7%
3 118
 
8.7%
5 99
 
7.3%
9 15
 
1.1%
4 13
 
1.0%
7 12
 
0.9%
6 12
 
0.9%
8 9
 
0.7%
Latin
ValueCountFrequency (%)
F 170
50.0%
C 85
25.0%
D 85
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 615
36.2%
1 254
14.9%
2 213
 
12.5%
F 170
 
10.0%
3 118
 
6.9%
5 99
 
5.8%
C 85
 
5.0%
D 85
 
5.0%
9 15
 
0.9%
4 13
 
0.8%
Other values (3) 33
 
1.9%

인허가일자
Date

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1999-09-04 00:00:00
Maximum2023-12-12 00:00:00
2024-04-30T04:24:09.112342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:09.267251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
1
68 
3
14 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
80.0%
3 14
 
16.5%
5 3
 
3.5%

Length

2024-04-30T04:24:09.393835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:09.488868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
80.0%
3 14
 
16.5%
5 3
 
3.5%

영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
영업/정상
68 
폐업
14 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.6117647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
80.0%
폐업 14
 
16.5%
제외/삭제/전출 3
 
3.5%

Length

2024-04-30T04:24:09.595840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:09.689194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
80.0%
폐업 14
 
16.5%
제외/삭제/전출 3
 
3.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
13
68 
3
14 
15
 
3

Length

Max length2
Median length2
Mean length1.8352941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 68
80.0%
3 14
 
16.5%
15 3
 
3.5%

Length

2024-04-30T04:24:09.815856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:09.917707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 68
80.0%
3 14
 
16.5%
15 3
 
3.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
영업중
68 
폐업
14 
전출
 
3

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 68
80.0%
폐업 14
 
16.5%
전출 3
 
3.5%

Length

2024-04-30T04:24:10.032719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:10.125354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 68
80.0%
폐업 14
 
16.5%
전출 3
 
3.5%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing68
Missing (%)80.0%
Memory size812.0 B
Minimum2010-04-30 00:00:00
Maximum2024-04-04 00:00:00
2024-04-30T04:24:10.213296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:10.328120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing39
Missing (%)45.9%
Memory size812.0 B
2024-04-30T04:24:10.530896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.73913
Min length8

Characters and Unicode

Total characters494
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

Unique46 ?
Unique (%)100.0%

Sample

1st row777-8894
2nd row3275-2247
3rd row797-0914
4th row761-5901
5th row511-7861
ValueCountFrequency (%)
6012-4880 1
 
2.2%
02-3471-5670 1
 
2.2%
02-6352-1372 1
 
2.2%
325-0891 1
 
2.2%
070-7560-8703 1
 
2.2%
02-371-6660 1
 
2.2%
02-940-9610 1
 
2.2%
070-7733-3727 1
 
2.2%
02-514-7111 1
 
2.2%
070-7018-5003 1
 
2.2%
Other values (36) 36
78.3%
2024-04-30T04:24:10.877057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 77
15.6%
0 75
15.2%
2 65
13.2%
7 57
11.5%
3 37
7.5%
4 36
7.3%
1 34
6.9%
5 29
 
5.9%
6 28
 
5.7%
8 28
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 417
84.4%
Dash Punctuation 77
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
18.0%
2 65
15.6%
7 57
13.7%
3 37
8.9%
4 36
8.6%
1 34
8.2%
5 29
 
7.0%
6 28
 
6.7%
8 28
 
6.7%
9 28
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 494
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 77
15.6%
0 75
15.2%
2 65
13.2%
7 57
11.5%
3 37
7.5%
4 36
7.3%
1 34
6.9%
5 29
 
5.9%
6 28
 
5.7%
8 28
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 77
15.6%
0 75
15.2%
2 65
13.2%
7 57
11.5%
3 37
7.5%
4 36
7.3%
1 34
6.9%
5 29
 
5.9%
6 28
 
5.7%
8 28
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

소재지우편번호
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing79
Missing (%)92.9%
Memory size812.0 B
2024-04-30T04:24:11.001373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1666667
Min length6

Characters and Unicode

Total characters37
Distinct characters6
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

Unique4 ?
Unique (%)66.7%

Sample

1st row140190
2nd row140190
3rd row140210
4th row140201
5th row140140
ValueCountFrequency (%)
140190 2
33.3%
140210 1
16.7%
140201 1
16.7%
140140 1
16.7%
140-210 1
16.7%
2024-04-30T04:24:11.225505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
32.4%
0 12
32.4%
4 7
18.9%
2 3
 
8.1%
9 2
 
5.4%
- 1
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
97.3%
Dash Punctuation 1
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
33.3%
0 12
33.3%
4 7
19.4%
2 3
 
8.3%
9 2
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12
32.4%
0 12
32.4%
4 7
18.9%
2 3
 
8.1%
9 2
 
5.4%
- 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
32.4%
0 12
32.4%
4 7
18.9%
2 3
 
8.1%
9 2
 
5.4%
- 1
 
2.7%

지번주소
Text

Distinct75
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-04-30T04:24:11.426272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length26.658824
Min length15

Characters and Unicode

Total characters2266
Distinct characters113
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

Unique69 ?
Unique (%)81.2%

Sample

1st row서울특별시 용산구 후암동 ***-**번지
2nd row서울특별시 용산구 청파동*가 **-**번지
3rd row서울특별시 용산구 한남동 *-**번지 *층
4th row서울특별시 용산구 한강로*가 **-*번지 전자랜드신관 *동 ***호
5th row서울특별시 용산구 한남동 ***-*번지 유엔빌리지 에스-*
ValueCountFrequency (%)
서울특별시 85
19.8%
용산구 85
19.8%
번지 56
13.0%
한남동 35
8.1%
27
 
6.3%
호 23
 
5.3%
한강로*가 17
 
4.0%
층 14
 
3.3%
이태원동 13
 
3.0%
후암동 6
 
1.4%
Other values (52) 69
16.0%
2024-04-30T04:24:11.772207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 458
20.2%
387
17.1%
용 95
 
4.2%
산 95
 
4.2%
서 88
 
3.9%
구 87
 
3.8%
별 86
 
3.8%
특 85
 
3.8%
시 85
 
3.8%
울 85
 
3.8%
Other values (103) 715
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1321
58.3%
Other Punctuation 458
 
20.2%
Space Separator 387
 
17.1%
Dash Punctuation 76
 
3.4%
Decimal Number 11
 
0.5%
Lowercase Letter 6
 
0.3%
Uppercase Letter 5
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 95
 
7.2%
산 95
 
7.2%
서 88
 
6.7%
구 87
 
6.6%
별 86
 
6.5%
특 85
 
6.4%
시 85
 
6.4%
울 85
 
6.4%
동 80
 
6.1%
지 60
 
4.5%
Other values (82) 475
36.0%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
6 3
27.3%
7 2
18.2%
8 1
 
9.1%
1 1
 
9.1%
4 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
i 1
16.7%
t 1
16.7%
r 1
16.7%
o 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
20.0%
F 1
20.0%
B 1
20.0%
A 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 458
100.0%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1321
58.3%
Common 934
41.2%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 95
 
7.2%
산 95
 
7.2%
서 88
 
6.7%
구 87
 
6.6%
별 86
 
6.5%
특 85
 
6.4%
시 85
 
6.4%
울 85
 
6.4%
동 80
 
6.1%
지 60
 
4.5%
Other values (82) 475
36.0%
Common
ValueCountFrequency (%)
* 458
49.0%
387
41.4%
- 76
 
8.1%
2 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
) 1
 
0.1%
8 1
 
0.1%
( 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
l 2
18.2%
i 1
9.1%
H 1
9.1%
t 1
9.1%
r 1
9.1%
o 1
9.1%
F 1
9.1%
B 1
9.1%
A 1
9.1%
D 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1321
58.3%
ASCII 945
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 458
48.5%
387
41.0%
- 76
 
8.0%
2 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
l 2
 
0.2%
) 1
 
0.1%
i 1
 
0.1%
H 1
 
0.1%
Other values (11) 11
 
1.2%
Hangul
ValueCountFrequency (%)
용 95
 
7.2%
산 95
 
7.2%
서 88
 
6.7%
구 87
 
6.6%
별 86
 
6.5%
특 85
 
6.4%
시 85
 
6.4%
울 85
 
6.4%
동 80
 
6.1%
지 60
 
4.5%
Other values (82) 475
36.0%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)95.1%
Missing3
Missing (%)3.5%
Memory size812.0 B
2024-04-30T04:24:11.987893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length34.5
Min length23

Characters and Unicode

Total characters2829
Distinct characters137
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

Unique74 ?
Unique (%)90.2%

Sample

1st row서울특별시 용산구 청파로**길 ** (청파동*가)
2nd row서울특별시 용산구 독서당로 ***-* (한남동,*층)
3rd row서울특별시 용산구 청파로 **, *동 ***호 (한강로*가,전자랜드신관)
4th row서울특별시 용산구 유엔빌리지길 ** (한남동,유엔빌리지 에스-*)
5th row서울특별시 용산구 유엔빌리지*길 **, ***동 ***호 (한남동,씨아파트)
ValueCountFrequency (%)
서울특별시 82
15.5%
용산구 82
15.5%
80
15.2%
호 31
 
5.9%
한남동 30
 
5.7%
층 30
 
5.7%
한강로*가 15
 
2.8%
이태원동 11
 
2.1%
한남대로 9
 
1.7%
동 7
 
1.3%
Other values (95) 151
28.6%
2024-04-30T04:24:12.327082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 467
 
16.5%
455
 
16.1%
서 98
 
3.5%
로 96
 
3.4%
용 92
 
3.3%
산 92
 
3.3%
, 89
 
3.1%
구 84
 
3.0%
) 84
 
3.0%
( 84
 
3.0%
Other values (127) 1188
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1609
56.9%
Other Punctuation 556
 
19.7%
Space Separator 455
 
16.1%
Close Punctuation 84
 
3.0%
Open Punctuation 84
 
3.0%
Dash Punctuation 21
 
0.7%
Decimal Number 8
 
0.3%
Lowercase Letter 6
 
0.2%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 98
 
6.1%
로 96
 
6.0%
용 92
 
5.7%
산 92
 
5.7%
구 84
 
5.2%
별 83
 
5.2%
시 83
 
5.2%
특 82
 
5.1%
울 82
 
5.1%
동 80
 
5.0%
Other values (105) 737
45.8%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
1 2
25.0%
3 1
12.5%
2 1
12.5%
5 1
12.5%
6 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
o 1
16.7%
r 1
16.7%
t 1
16.7%
i 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
F 1
16.7%
H 1
16.7%
D 1
16.7%
A 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 467
84.0%
, 89
 
16.0%
Space Separator
ValueCountFrequency (%)
455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1609
56.9%
Common 1208
42.7%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 98
 
6.1%
로 96
 
6.0%
용 92
 
5.7%
산 92
 
5.7%
구 84
 
5.2%
별 83
 
5.2%
시 83
 
5.2%
특 82
 
5.1%
울 82
 
5.1%
동 80
 
5.0%
Other values (105) 737
45.8%
Common
ValueCountFrequency (%)
* 467
38.7%
455
37.7%
, 89
 
7.4%
) 84
 
7.0%
( 84
 
7.0%
- 21
 
1.7%
0 2
 
0.2%
1 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
l 2
16.7%
B 2
16.7%
F 1
8.3%
o 1
8.3%
r 1
8.3%
t 1
8.3%
H 1
8.3%
i 1
8.3%
D 1
8.3%
A 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1609
56.9%
ASCII 1220
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 467
38.3%
455
37.3%
, 89
 
7.3%
) 84
 
6.9%
( 84
 
6.9%
- 21
 
1.7%
0 2
 
0.2%
1 2
 
0.2%
l 2
 
0.2%
B 2
 
0.2%
Other values (12) 12
 
1.0%
Hangul
ValueCountFrequency (%)
서 98
 
6.1%
로 96
 
6.0%
용 92
 
5.7%
산 92
 
5.7%
구 84
 
5.2%
별 83
 
5.2%
시 83
 
5.2%
특 82
 
5.1%
울 82
 
5.1%
동 80
 
5.0%
Other values (105) 737
45.8%

도로명우편번호
Text

MISSING 

Distinct48
Distinct (%)69.6%
Missing16
Missing (%)18.8%
Memory size812.0 B
2024-04-30T04:24:12.508952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2898551
Min length5

Characters and Unicode

Total characters365
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

Unique37 ?
Unique (%)53.6%

Sample

1st row04351
2nd row140885
3rd row140012
4th row140857
5th row140893
ValueCountFrequency (%)
04417 8
 
11.6%
04345 3
 
4.3%
140893 3
 
4.3%
04373 3
 
4.3%
04419 3
 
4.3%
04326 2
 
2.9%
04390 2
 
2.9%
04351 2
 
2.9%
04377 2
 
2.9%
140210 2
 
2.9%
Other values (38) 39
56.5%
2024-04-30T04:24:12.817456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 93
25.5%
0 87
23.8%
1 45
12.3%
3 44
12.1%
7 24
 
6.6%
8 22
 
6.0%
2 14
 
3.8%
9 13
 
3.6%
5 13
 
3.6%
6 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 364
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 93
25.5%
0 87
23.9%
1 45
12.4%
3 44
12.1%
7 24
 
6.6%
8 22
 
6.0%
2 14
 
3.8%
9 13
 
3.6%
5 13
 
3.6%
6 9
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 93
25.5%
0 87
23.8%
1 45
12.3%
3 44
12.1%
7 24
 
6.6%
8 22
 
6.0%
2 14
 
3.8%
9 13
 
3.6%
5 13
 
3.6%
6 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 93
25.5%
0 87
23.8%
1 45
12.3%
3 44
12.1%
7 24
 
6.6%
8 22
 
6.0%
2 14
 
3.8%
9 13
 
3.6%
5 13
 
3.6%
6 9
 
2.5%

사업장명
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-04-30T04:24:13.016163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length11.247059
Min length2

Characters and Unicode

Total characters956
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)97.6%

Sample

1st row서울동화
2nd row(주)추계엔터테인먼트
3rd row(주)키노메카
4th row(주)에스엠벨리
5th row(주)씨네메카엔터테인먼트
ValueCountFrequency (%)
주식회사 31
 
23.1%
주)미스틱스토리 2
 
1.5%
meta 1
 
0.7%
international 1
 
0.7%
인터내셔널(y.k 1
 
0.7%
와이케이 1
 
0.7%
만일 1
 
0.7%
열매엔터테인먼트 1
 
0.7%
씨제이포디플렉스 1
 
0.7%
클리어마인드스튜디오 1
 
0.7%
Other values (93) 93
69.4%
2024-04-30T04:24:13.325325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 69
 
7.2%
49
 
5.1%
스 47
 
4.9%
( 45
 
4.7%
) 45
 
4.7%
사 38
 
4.0%
회 35
 
3.7%
이 33
 
3.5%
식 33
 
3.5%
디 20
 
2.1%
Other values (193) 542
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 707
74.0%
Uppercase Letter 55
 
5.8%
Space Separator 49
 
5.1%
Lowercase Letter 46
 
4.8%
Open Punctuation 45
 
4.7%
Close Punctuation 45
 
4.7%
Other Punctuation 5
 
0.5%
Other Symbol 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 69
 
9.8%
스 47
 
6.6%
사 38
 
5.4%
회 35
 
5.0%
이 33
 
4.7%
식 33
 
4.7%
디 20
 
2.8%
오 20
 
2.8%
트 15
 
2.1%
인 13
 
1.8%
Other values (149) 384
54.3%
Uppercase Letter
ValueCountFrequency (%)
E 6
10.9%
I 6
10.9%
L 5
 
9.1%
U 4
 
7.3%
D 4
 
7.3%
C 4
 
7.3%
S 4
 
7.3%
P 3
 
5.5%
T 3
 
5.5%
A 3
 
5.5%
Other values (9) 13
23.6%
Lowercase Letter
ValueCountFrequency (%)
o 7
15.2%
e 7
15.2%
t 6
13.0%
r 5
10.9%
n 4
8.7%
i 3
6.5%
a 3
6.5%
d 2
 
4.3%
l 1
 
2.2%
g 1
 
2.2%
Other values (7) 7
15.2%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
7 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
74.2%
Common 146
 
15.3%
Latin 101
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 69
 
9.7%
스 47
 
6.6%
사 38
 
5.4%
회 35
 
4.9%
이 33
 
4.7%
식 33
 
4.7%
디 20
 
2.8%
오 20
 
2.8%
트 15
 
2.1%
인 13
 
1.8%
Other values (150) 386
54.4%
Latin
ValueCountFrequency (%)
o 7
 
6.9%
e 7
 
6.9%
E 6
 
5.9%
t 6
 
5.9%
I 6
 
5.9%
r 5
 
5.0%
L 5
 
5.0%
U 4
 
4.0%
D 4
 
4.0%
C 4
 
4.0%
Other values (26) 47
46.5%
Common
ValueCountFrequency (%)
49
33.6%
( 45
30.8%
) 45
30.8%
. 4
 
2.7%
3 1
 
0.7%
, 1
 
0.7%
7 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 707
74.0%
ASCII 247
 
25.8%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 69
 
9.8%
스 47
 
6.6%
사 38
 
5.4%
회 35
 
5.0%
이 33
 
4.7%
식 33
 
4.7%
디 20
 
2.8%
오 20
 
2.8%
트 15
 
2.1%
인 13
 
1.8%
Other values (149) 384
54.3%
ASCII
ValueCountFrequency (%)
49
19.8%
( 45
18.2%
) 45
18.2%
o 7
 
2.8%
e 7
 
2.8%
E 6
 
2.4%
t 6
 
2.4%
I 6
 
2.4%
r 5
 
2.0%
L 5
 
2.0%
Other values (33) 66
26.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2010-04-28 17:22:27
Maximum2024-04-05 09:51:43
2024-04-30T04:24:13.439016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:13.553010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
I
67 
U
18 

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 67
78.8%
U 18
 
21.2%

Length

2024-04-30T04:24:13.656485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:13.758567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
78.8%
u 18
 
21.2%

데이터갱신일자
Date

Distinct40
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:24:13.859833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:13.969920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)88.1%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean198849.16
Minimum195322.6
Maximum201092.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T04:24:14.278397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195322.6
5-th percentile196156.55
Q1197216.97
median199150.19
Q3200319.06
95-th percentile200817.67
Maximum201092.64
Range5770.0364
Interquartile range (IQR)3102.0933

Descriptive statistics

Standard deviation1613.466
Coefficient of variation (CV)0.0081140195
Kurtosis-1.2695232
Mean198849.16
Median Absolute Deviation (MAD)1402.9376
Skewness-0.33635458
Sum16703330
Variance2603272.4
MonotonicityNot monotonic
2024-04-30T04:24:14.414390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200319.06075632 5
 
5.9%
196118.749575977 2
 
2.4%
200246.310074525 2
 
2.4%
200740.35198837 2
 
2.4%
198965.770944125 2
 
2.4%
197177.441827434 2
 
2.4%
200732.91120363 2
 
2.4%
200176.882597682 1
 
1.2%
196715.302533022 1
 
1.2%
198033.158747646 1
 
1.2%
Other values (64) 64
75.3%
ValueCountFrequency (%)
195322.602262906 1
1.2%
196032.088893161 1
1.2%
196060.559012563 1
1.2%
196118.749575977 2
2.4%
196370.746398773 1
1.2%
196594.787919074 1
1.2%
196678.783699399 1
1.2%
196697.953737986 1
1.2%
196715.302533022 1
1.2%
196762.077394917 1
1.2%
ValueCountFrequency (%)
201092.638680747 1
1.2%
201070.187785081 1
1.2%
200974.6151959 1
1.2%
200904.981638331 1
1.2%
200821.875716478 1
1.2%
200793.836692451 1
1.2%
200775.183106359 1
1.2%
200751.839771325 1
1.2%
200742.650230315 1
1.2%
200740.35198837 2
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)88.1%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean448271.79
Minimum446686.33
Maximum450203.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T04:24:14.544337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446686.33
5-th percentile447049.13
Q1447901.96
median448166.98
Q3448640.98
95-th percentile449816.11
Maximum450203.21
Range3516.8771
Interquartile range (IQR)739.01904

Descriptive statistics

Standard deviation763.10603
Coefficient of variation (CV)0.0017023289
Kurtosis0.45489277
Mean448271.79
Median Absolute Deviation (MAD)389.93623
Skewness0.4622473
Sum37654830
Variance582330.81
MonotonicityNot monotonic
2024-04-30T04:24:14.655689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448640.981454745 5
 
5.9%
447760.157527455 2
 
2.4%
448846.723234296 2
 
2.4%
448080.803370231 2
 
2.4%
447915.69437619 2
 
2.4%
447264.444809335 2
 
2.4%
448033.316711475 2
 
2.4%
448444.275356939 1
 
1.2%
449575.850451129 1
 
1.2%
450162.299770537 1
 
1.2%
Other values (64) 64
75.3%
ValueCountFrequency (%)
446686.334480454 1
1.2%
446703.426383454 1
1.2%
446893.484429691 1
1.2%
446986.411557186 1
1.2%
447045.206052439 1
1.2%
447071.362160663 1
1.2%
447077.126289262 1
1.2%
447252.59938 1
1.2%
447264.444809335 2
2.4%
447480.039577359 1
1.2%
ValueCountFrequency (%)
450203.211599534 1
1.2%
450162.299770537 1
1.2%
450079.427998316 1
1.2%
449928.767316341 1
1.2%
449847.210799444 1
1.2%
449639.883505951 1
1.2%
449575.850451129 1
1.2%
449527.023596941 1
1.2%
449350.721297758 1
1.2%
449116.610542509 1
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
영화배급업
62 
<NA>
23 

Length

Max length5
Median length5
Mean length4.7294118
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 62
72.9%
<NA> 23
 
27.1%

Length

2024-04-30T04:24:14.768363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:14.851256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 62
72.9%
na 23
 
27.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing23
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean20125521
Minimum19990904
Maximum20210423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T04:24:14.953938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990904
5-th percentile20040503
Q120090305
median20130473
Q320170690
95-th percentile20199641
Maximum20210423
Range219519
Interquartile range (IQR)80384.5

Descriptive statistics

Standard deviation53593.155
Coefficient of variation (CV)0.002662945
Kurtosis-0.24107961
Mean20125521
Median Absolute Deviation (MAD)40208
Skewness-0.5701018
Sum1.2477823 × 109
Variance2.8722263 × 109
MonotonicityNot monotonic
2024-04-30T04:24:15.094115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070829 1
 
1.2%
20150722 1
 
1.2%
20150924 1
 
1.2%
20161007 1
 
1.2%
20161104 1
 
1.2%
20161121 1
 
1.2%
20150709 1
 
1.2%
20170602 1
 
1.2%
20070416 1
 
1.2%
20170719 1
 
1.2%
Other values (52) 52
61.2%
(Missing) 23
27.1%
ValueCountFrequency (%)
19990904 1
1.2%
20000412 1
1.2%
20000812 1
1.2%
20040503 1
1.2%
20040508 1
1.2%
20051123 1
1.2%
20060905 1
1.2%
20061109 1
1.2%
20070416 1
1.2%
20070612 1
1.2%
ValueCountFrequency (%)
20210423 1
1.2%
20200402 1
1.2%
20200309 1
1.2%
20200116 1
1.2%
20190619 1
1.2%
20190611 1
1.2%
20190409 1
1.2%
20190208 1
1.2%
20181129 1
1.2%
20181119 1
1.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF521103199900000219990904<NA>1영업/정상13영업중<NA><NA><NA><NA>777-8894<NA>140190서울특별시 용산구 후암동 ***-**번지<NA><NA>서울동화2010-04-28 17:22:27I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990904<NA>
13020000CDFF521103200000000120000412<NA>1영업/정상13영업중<NA><NA><NA><NA>3275-2247<NA><NA>서울특별시 용산구 청파동*가 **-**번지서울특별시 용산구 청파로**길 ** (청파동*가)<NA>(주)추계엔터테인먼트2010-04-29 11:11:44I2018-08-31 23:59:59.0<NA>197221.674518449116.610543영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000412<NA>
23020000CDFF521103200000000220000812<NA>1영업/정상13영업중<NA><NA><NA><NA>797-0914<NA><NA>서울특별시 용산구 한남동 *-**번지 *층서울특별시 용산구 독서당로 ***-* (한남동,*층)<NA>(주)키노메카2010-04-29 11:11:59I2018-08-31 23:59:59.0<NA>200974.615196448295.658323영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000812<NA>
33020000CDFF521103200400000120040503<NA>1영업/정상13영업중<NA><NA><NA><NA>761-5901<NA><NA>서울특별시 용산구 한강로*가 **-*번지 전자랜드신관 *동 ***호서울특별시 용산구 청파로 **, *동 ***호 (한강로*가,전자랜드신관)<NA>(주)에스엠벨리2010-04-29 11:12:19I2018-08-31 23:59:59.0<NA>196370.746399447841.698788영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040503<NA>
43020000CDFF521103200400000220040508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-*번지 유엔빌리지 에스-*서울특별시 용산구 유엔빌리지길 ** (한남동,유엔빌리지 에스-*)<NA>(주)씨네메카엔터테인먼트2010-04-29 11:12:40I2018-08-31 23:59:59.0<NA>200793.836692447926.457767영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040508<NA>
53020000CDFF521103200500000120051123<NA>1영업/정상13영업중<NA><NA><NA><NA>511-7861<NA><NA>서울특별시 용산구 한남동 ***번지 씨아파트 ***동 ***호서울특별시 용산구 유엔빌리지*길 **, ***동 ***호 (한남동,씨아파트)<NA>(주)디필름스2010-04-29 11:12:57I2018-08-31 23:59:59.0<NA>200904.981638447970.61851영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20051123<NA>
63020000CDFF521103200600000120060905<NA>1영업/정상13영업중<NA><NA><NA><NA>790-6930<NA><NA>서울특별시 용산구 한남동 ***-*번지서울특별시 용산구 독서당로 ** (한남동)<NA>(주)유투미디어2010-04-29 11:13:14I2018-08-31 23:59:59.0<NA>200751.839771447965.939577영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060905<NA>
73020000CDFF521103200600000220061109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6900-8804<NA><NA>서울특별시 용산구 이태원동 ***-*번지서울특별시 용산구 이태원로**길 **-** (이태원동)04351(주)크리에이티브리더스그룹에이트2017-01-03 18:37:51I2018-08-31 23:59:59.0<NA>199153.390811448164.339997영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061109<NA>
83020000CDFF521103200700000120070612<NA>3폐업3폐업20141230<NA><NA><NA>796-3363<NA><NA>서울특별시 용산구 동빙고동 **-*번지서울특별시 용산구 서빙고로**길 ** (동빙고동)<NA>프로젝트날2014-12-30 14:05:40I2018-08-31 23:59:59.0<NA>199675.78308446686.33448영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070612<NA>
93020000CDFF521103200800000120080520<NA>1영업/정상13영업중<NA><NA><NA><NA>3789-9112<NA>140190서울특별시 용산구 후암동 ***-*번지 *층서울특별시 용산구 후암로 * (후암동,*층)<NA>블루티브이 주식회사2010-04-29 11:10:53I2018-08-31 23:59:59.0<NA>197998.328781449350.721298영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080520<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
753020000CDFF52110320230000052023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 **-**서울특별시 용산구 녹사평대로 ***, *층 (이태원동)04390주식회사 스튜디오에이에이2023-04-07 16:03:05I2022-12-04 00:09:00.0<NA>198965.770944447915.694376<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763020000CDFF52110320230000062023-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 *** 나인원 한남 ***동 ***호서울특별시 용산구 한남대로 **, ***동 ***호 (한남동, 나인원 한남)04401(주)와일드독 픽쳐스2023-05-17 16:47:31I2022-12-04 23:09:00.0<NA>200231.538141448226.481351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773020000CDFF52110320230000072019-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-567-2488<NA><NA>서울특별시 용산구 한남동 ***-** 볼보빌딩 엘층서울특별시 용산구 한남대로 ***, 볼보빌딩 엘층 (한남동)04417주식회사 제이씨엔터웍스2023-06-13 14:44:26I2022-12-05 23:05:00.0<NA>200319.060756448640.981455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783020000CDFF52110320230000082023-07-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 ***-**서울특별시 용산구 두텁바위로*길 **-* (후암동)04333광옥2023-07-06 18:06:32I2022-12-07 00:08:00.0<NA>197765.850794449527.023597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793020000CDFF52110320230000092023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-792-1350<NA><NA>서울특별시 용산구 한남동 **-**서울특별시 용산구 한남대로**길 ** (한남동)04419(주)미스틱스토리2023-08-08 14:57:23I2022-12-07 23:00:00.0<NA>200740.351988448080.80337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803020000CDFF52110320230000102023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-* *층서울특별시 용산구 한남대로**길 *-*, *층 (한남동)04417(주)더블루스튜디오2023-08-24 08:59:26I2022-12-07 22:06:00.0<NA>200150.634142448954.933342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813020000CDFF52110320230000112023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-*** 신동빌딩 *층서울특별시 용산구 한남대로 ***, 신동빌딩 *층 (한남동)04417(주)에이디지컴퍼니2023-11-16 13:06:24I2022-10-31 23:08:00.0<NA>200246.310075448846.723234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823020000CDFF52110320230000122016-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-0550<NA><NA>서울특별시 용산구 한남동 *-** 포트힐(Fort Hill) 빌딩 ***호서울특별시 용산구 독서당로 ***-*, 포트힐(Fort Hill) 빌딩 ***호 (한남동)04420(주)화이트픽셀(WHITE PIXELS)2023-12-08 09:02:27I2022-11-01 23:00:00.0<NA>201070.187785448288.443792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833020000CDFF52110320230000132023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6743-5600<NA><NA>서울특별시 용산구 서빙고동 *-** 비비안 *층서울특별시 용산구 서빙고로**길 **, 비비안 *층 (서빙고동)04384(주)아이오케이컴퍼니2023-12-12 13:46:27I2022-11-01 23:04:00.0<NA>199146.993277446703.426383<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843020000CDFF52110320240000012023-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 **-** 삼구빌딩 ****호서울특별시 용산구 청파로 **, 삼구빌딩 ****호 (한강로*가)04373스튜디오타겟 주식회사2024-01-03 16:23:39I2023-12-01 00:05:00.0<NA>196060.559013447732.807254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>