Overview

Dataset statistics

Number of variables56
Number of observations39
Missing cells1032
Missing cells (%)47.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory492.4 B

Variable types

Categorical19
Text6
DateTime4
Unsupported24
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17197/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.1%)Imbalance
영업상태명 is highly imbalanced (53.1%)Imbalance
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
휴업시작일자 is highly imbalanced (82.8%)Imbalance
휴업종료일자 is highly imbalanced (82.8%)Imbalance
총층수 is highly imbalanced (60.9%)Imbalance
시설면적 is highly imbalanced (70.9%)Imbalance
지상층수 is highly imbalanced (60.9%)Imbalance
지하층수 is highly imbalanced (60.9%)Imbalance
통로너비 is highly imbalanced (60.9%)Imbalance
조명시설조도 is highly imbalanced (60.9%)Imbalance
노래방실수 is highly imbalanced (60.9%)Imbalance
청소년실수 is highly imbalanced (60.9%)Imbalance
총게임기수 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
폐업일자 has 33 (84.6%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
전화번호 has 36 (92.3%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
소재지우편번호 has 39 (100.0%) missing valuesMissing
지번주소 has 10 (25.6%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
주변환경명 has 39 (100.0%) missing valuesMissing
제작취급품목내용 has 17 (43.6%) missing valuesMissing
건물용도명 has 39 (100.0%) missing valuesMissing
비상계단여부 has 39 (100.0%) missing valuesMissing
비상구여부 has 39 (100.0%) missing valuesMissing
자동환기여부 has 39 (100.0%) missing valuesMissing
청소년실여부 has 39 (100.0%) missing valuesMissing
특수조명여부 has 39 (100.0%) missing valuesMissing
방음시설여부 has 39 (100.0%) missing valuesMissing
비디오재생기명 has 39 (100.0%) missing valuesMissing
조명시설유무 has 39 (100.0%) missing valuesMissing
음향시설여부 has 39 (100.0%) missing valuesMissing
편의시설여부 has 39 (100.0%) missing valuesMissing
소방시설여부 has 39 (100.0%) missing valuesMissing
기존게임업외업종명 has 39 (100.0%) missing valuesMissing
제공게임물명 has 39 (100.0%) missing valuesMissing
공연장형태구분명 has 39 (100.0%) missing valuesMissing
품목명 has 39 (100.0%) missing valuesMissing
최초등록시점 has 39 (100.0%) missing valuesMissing
지역구분명 has 39 (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
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
소재지우편번호 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
주변환경명 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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:34:44.765223
Analysis finished2024-05-11 08:34:45.502991
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3050000
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 39
100.0%

Length

2024-05-11T17:34:45.551851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:45.623055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 39
100.0%

관리번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T17:34:45.759534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters780
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

Unique39 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000004
3rd rowCDFF3241092015000005
4th rowCDFF3241092015000007
5th rowCDFF3241092015000008
ValueCountFrequency (%)
cdff3241092015000001 1
 
2.6%
cdff3241092021000001 1
 
2.6%
cdff3241092021000003 1
 
2.6%
cdff3241092021000004 1
 
2.6%
cdff3241092021000005 1
 
2.6%
cdff3241092021000006 1
 
2.6%
cdff3241092022000001 1
 
2.6%
cdff3241092022000002 1
 
2.6%
cdff3241092022000003 1
 
2.6%
cdff3241092021000002 1
 
2.6%
Other values (29) 29
74.4%
2024-05-11T17:34:46.028441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 273
35.0%
2 114
14.6%
F 78
 
10.0%
1 74
 
9.5%
3 49
 
6.3%
4 45
 
5.8%
9 41
 
5.3%
C 39
 
5.0%
D 39
 
5.0%
5 12
 
1.5%
Other values (3) 16
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 624
80.0%
Uppercase Letter 156
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 273
43.8%
2 114
18.3%
1 74
 
11.9%
3 49
 
7.9%
4 45
 
7.2%
9 41
 
6.6%
5 12
 
1.9%
7 7
 
1.1%
6 6
 
1.0%
8 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
80.0%
Latin 156
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 273
43.8%
2 114
18.3%
1 74
 
11.9%
3 49
 
7.9%
4 45
 
7.2%
9 41
 
6.6%
5 12
 
1.9%
7 7
 
1.1%
6 6
 
1.0%
8 3
 
0.5%
Latin
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 273
35.0%
2 114
14.6%
F 78
 
10.0%
1 74
 
9.5%
3 49
 
6.3%
4 45
 
5.8%
9 41
 
5.3%
C 39
 
5.0%
D 39
 
5.0%
5 12
 
1.5%
Other values (3) 16
 
2.1%

인허가일자
Date

Distinct34
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2015-05-22 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T17:34:46.154599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:34:46.258598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
32 
3
 
3
5
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
82.1%
3 3
 
7.7%
5 3
 
7.7%
2 1
 
2.6%

Length

2024-05-11T17:34:46.357454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:46.442180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
82.1%
3 3
 
7.7%
5 3
 
7.7%
2 1
 
2.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업/정상
32 
폐업
 
3
제외/삭제/전출
 
3
휴업
 
1

Length

Max length8
Median length5
Mean length4.9230769
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
82.1%
폐업 3
 
7.7%
제외/삭제/전출 3
 
7.7%
휴업 1
 
2.6%

Length

2024-05-11T17:34:46.556884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:46.649465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
82.1%
폐업 3
 
7.7%
제외/삭제/전출 3
 
7.7%
휴업 1
 
2.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
13
32 
3
 
3
15
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.8974359
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 32
82.1%
3 3
 
7.7%
15 3
 
7.7%
2 1
 
2.6%

Length

2024-05-11T17:34:46.748126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:46.843883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
82.1%
3 3
 
7.7%
15 3
 
7.7%
2 1
 
2.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업중
32 
폐업
 
3
전출
 
3
휴업
 
1

Length

Max length3
Median length3
Mean length2.8205128
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
82.1%
폐업 3
 
7.7%
전출 3
 
7.7%
휴업 1
 
2.6%

Length

2024-05-11T17:34:46.943082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:47.047734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
82.1%
폐업 3
 
7.7%
전출 3
 
7.7%
휴업 1
 
2.6%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing33
Missing (%)84.6%
Memory size444.0 B
Minimum2016-06-30 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T17:34:47.134672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:34:47.223997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
38 
20190728
 
1

Length

Max length8
Median length4
Mean length4.1025641
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
97.4%
20190728 1
 
2.6%

Length

2024-05-11T17:34:47.327002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:47.421635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
97.4%
20190728 1
 
2.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
38 
20200128
 
1

Length

Max length8
Median length4
Mean length4.1025641
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
97.4%
20200128 1
 
2.6%

Length

2024-05-11T17:34:47.554731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:47.648890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
97.4%
20200128 1
 
2.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing36
Missing (%)92.3%
Memory size444.0 B
2024-05-11T17:34:47.749834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters36
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

Unique3 ?
Unique (%)100.0%

Sample

1st row070-4327-2570
2nd row02-965-0815
3rd row02-3394-5771
ValueCountFrequency (%)
070-4327-2570 1
33.3%
02-965-0815 1
33.3%
02-3394-5771 1
33.3%
2024-05-11T17:34:48.008372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
16.7%
- 6
16.7%
7 5
13.9%
2 4
11.1%
5 4
11.1%
3 3
8.3%
4 2
 
5.6%
9 2
 
5.6%
1 2
 
5.6%
6 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
83.3%
Dash Punctuation 6
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
20.0%
7 5
16.7%
2 4
13.3%
5 4
13.3%
3 3
10.0%
4 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
6 1
 
3.3%
8 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6
16.7%
- 6
16.7%
7 5
13.9%
2 4
11.1%
5 4
11.1%
3 3
8.3%
4 2
 
5.6%
9 2
 
5.6%
1 2
 
5.6%
6 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
16.7%
- 6
16.7%
7 5
13.9%
2 4
11.1%
5 4
11.1%
3 3
8.3%
4 2
 
5.6%
9 2
 
5.6%
1 2
 
5.6%
6 1
 
2.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

지번주소
Text

MISSING 

Distinct26
Distinct (%)89.7%
Missing10
Missing (%)25.6%
Memory size444.0 B
2024-05-11T17:34:48.183659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length26.172414
Min length18

Characters and Unicode

Total characters759
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row서울특별시 동대문구 제기동 ***-**번지 한솔동의보감
2nd row서울특별시 동대문구 휘경동 ***-**번지
3rd row서울특별시 동대문구 용두동 ***
4th row서울특별시 동대문구 장안동 ***-*
5th row서울특별시 동대문구 용두동 *** 용두롯데캐슬리치 ***동 ***호
ValueCountFrequency (%)
서울특별시 29
21.0%
동대문구 29
21.0%
25
18.1%
장안동 9
 
6.5%
휘경동 7
 
5.1%
호 6
 
4.3%
용두동 4
 
2.9%
번지 3
 
2.2%
용두롯데캐슬리치 2
 
1.4%
회기동 2
 
1.4%
Other values (19) 22
15.9%
2024-05-11T17:34:48.448858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 140
18.4%
119
15.7%
동 62
 
8.2%
대 32
 
4.2%
문 32
 
4.2%
서 30
 
4.0%
특 29
 
3.8%
별 29
 
3.8%
시 29
 
3.8%
구 29
 
3.8%
Other values (76) 228
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
61.9%
Other Punctuation 144
 
19.0%
Space Separator 119
 
15.7%
Dash Punctuation 24
 
3.2%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
13.2%
대 32
 
6.8%
문 32
 
6.8%
서 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
구 29
 
6.2%
울 29
 
6.2%
안 12
 
2.6%
Other values (70) 157
33.4%
Other Punctuation
ValueCountFrequency (%)
* 140
97.2%
, 4
 
2.8%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
61.9%
Common 289
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
13.2%
대 32
 
6.8%
문 32
 
6.8%
서 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
구 29
 
6.2%
울 29
 
6.2%
안 12
 
2.6%
Other values (70) 157
33.4%
Common
ValueCountFrequency (%)
* 140
48.4%
119
41.2%
- 24
 
8.3%
, 4
 
1.4%
5 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
61.9%
ASCII 289
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 140
48.4%
119
41.2%
- 24
 
8.3%
, 4
 
1.4%
5 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 62
 
13.2%
대 32
 
6.8%
문 32
 
6.8%
서 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
구 29
 
6.2%
울 29
 
6.2%
안 12
 
2.6%
Other values (70) 157
33.4%

도로명주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T17:34:48.627498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length39
Mean length36.179487
Min length23

Characters and Unicode

Total characters1411
Distinct characters120
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 동대문구 장한로**길 지하 * (장안동)
2nd row서울특별시 동대문구 홍릉로 **-* (청량리동)
3rd row서울특별시 동대문구 황물로 ** (답십리동)
4th row서울특별시 동대문구 정릉천동로 *** (제기동)
5th row서울특별시 동대문구 정릉천동로 *** (제기동)
ValueCountFrequency (%)
서울특별시 39
14.7%
동대문구 39
14.7%
39
14.7%
호 19
 
7.1%
층 15
 
5.6%
장안동 15
 
5.6%
휘경동 7
 
2.6%
동 4
 
1.5%
용두동 4
 
1.5%
제기동 3
 
1.1%
Other values (61) 82
30.8%
2024-05-11T17:34:48.927173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
16.1%
* 215
 
15.2%
동 92
 
6.5%
대 47
 
3.3%
, 47
 
3.3%
문 43
 
3.0%
서 41
 
2.9%
( 40
 
2.8%
시 40
 
2.8%
) 40
 
2.8%
Other values (110) 579
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
59.0%
Other Punctuation 262
 
18.6%
Space Separator 227
 
16.1%
Open Punctuation 40
 
2.8%
Close Punctuation 40
 
2.8%
Decimal Number 5
 
0.4%
Dash Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 92
 
11.0%
대 47
 
5.6%
문 43
 
5.2%
서 41
 
4.9%
시 40
 
4.8%
울 40
 
4.8%
로 39
 
4.7%
구 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
Other values (99) 374
44.9%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
6 1
20.0%
1 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 215
82.1%
, 47
 
17.9%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
59.0%
Common 577
40.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 92
 
11.0%
대 47
 
5.6%
문 43
 
5.2%
서 41
 
4.9%
시 40
 
4.8%
울 40
 
4.8%
로 39
 
4.7%
구 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
Other values (99) 374
44.9%
Common
ValueCountFrequency (%)
227
39.3%
* 215
37.3%
, 47
 
8.1%
( 40
 
6.9%
) 40
 
6.9%
- 3
 
0.5%
3 2
 
0.3%
6 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
59.0%
ASCII 578
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
39.3%
* 215
37.2%
, 47
 
8.1%
( 40
 
6.9%
) 40
 
6.9%
- 3
 
0.5%
3 2
 
0.3%
M 1
 
0.2%
6 1
 
0.2%
1 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 92
 
11.0%
대 47
 
5.6%
문 43
 
5.2%
서 41
 
4.9%
시 40
 
4.8%
울 40
 
4.8%
로 39
 
4.7%
구 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
Other values (99) 374
44.9%

도로명우편번호
Real number (ℝ)

Distinct31
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5835.4615
Minimum2428
Maximum130840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T17:34:49.043247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2428
5-th percentile2438.7
Q12481
median2563
Q32625
95-th percentile2639.5
Maximum130840
Range128412
Interquartile range (IQR)144

Descriptive statistics

Standard deviation20543.631
Coefficient of variation (CV)3.5204809
Kurtosis38.998946
Mean5835.4615
Median Absolute Deviation (MAD)68
Skewness6.2448746
Sum227583
Variance4.2204077 × 108
MonotonicityNot monotonic
2024-05-11T17:34:49.149214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2639 5
 
12.8%
2625 2
 
5.1%
2478 2
 
5.1%
2497 2
 
5.1%
2577 2
 
5.1%
2428 1
 
2.6%
2440 1
 
2.6%
2455 1
 
2.6%
2499 1
 
2.6%
2525 1
 
2.6%
Other values (21) 21
53.8%
ValueCountFrequency (%)
2428 1
2.6%
2436 1
2.6%
2439 1
2.6%
2440 1
2.6%
2447 1
2.6%
2448 1
2.6%
2455 1
2.6%
2460 1
2.6%
2478 2
5.1%
2484 1
2.6%
ValueCountFrequency (%)
130840 1
 
2.6%
2644 1
 
2.6%
2639 5
12.8%
2636 1
 
2.6%
2631 1
 
2.6%
2625 2
 
5.1%
2615 1
 
2.6%
2593 1
 
2.6%
2588 1
 
2.6%
2582 1
 
2.6%

사업장명
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T17:34:49.339262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.9230769
Min length1

Characters and Unicode

Total characters348
Distinct characters112
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row주식회사 알비더블유
2nd row주식회사 엔터라이즈
3rd row(주)레인보우
4th row4U엔터테인먼트
5th row캐스팅4U
ValueCountFrequency (%)
주식회사 9
 
15.3%
엔터테인먼트 2
 
3.4%
그랜드라인엔터테인먼트 2
 
3.4%
가족액터스 1
 
1.7%
주)디엔디엔터테인먼트 1
 
1.7%
윤슬 1
 
1.7%
업 1
 
1.7%
에스앤피엔터테인먼트 1
 
1.7%
그랜드라인그룹 1
 
1.7%
주)댄스트럭트 1
 
1.7%
Other values (39) 39
66.1%
2024-05-11T17:34:49.679523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
5.7%
주 16
 
4.6%
트 16
 
4.6%
인 14
 
4.0%
엔 14
 
4.0%
터 13
 
3.7%
먼 12
 
3.4%
테 11
 
3.2%
스 10
 
2.9%
사 10
 
2.9%
Other values (102) 212
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
84.5%
Space Separator 20
 
5.7%
Uppercase Letter 14
 
4.0%
Open Punctuation 9
 
2.6%
Close Punctuation 9
 
2.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
5.4%
트 16
 
5.4%
인 14
 
4.8%
엔 14
 
4.8%
터 13
 
4.4%
먼 12
 
4.1%
테 11
 
3.7%
스 10
 
3.4%
사 10
 
3.4%
회 9
 
3.1%
Other values (87) 169
57.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
14.3%
E 2
14.3%
U 2
14.3%
L 1
7.1%
A 1
7.1%
J 1
7.1%
N 1
7.1%
I 1
7.1%
W 1
7.1%
H 1
7.1%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
84.5%
Common 40
 
11.5%
Latin 14
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
5.4%
트 16
 
5.4%
인 14
 
4.8%
엔 14
 
4.8%
터 13
 
4.4%
먼 12
 
4.1%
테 11
 
3.7%
스 10
 
3.4%
사 10
 
3.4%
회 9
 
3.1%
Other values (87) 169
57.5%
Latin
ValueCountFrequency (%)
B 2
14.3%
E 2
14.3%
U 2
14.3%
L 1
7.1%
A 1
7.1%
J 1
7.1%
N 1
7.1%
I 1
7.1%
W 1
7.1%
H 1
7.1%
Common
ValueCountFrequency (%)
20
50.0%
( 9
22.5%
) 9
22.5%
4 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
84.5%
ASCII 54
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
37.0%
( 9
16.7%
) 9
16.7%
4 2
 
3.7%
B 2
 
3.7%
E 2
 
3.7%
U 2
 
3.7%
L 1
 
1.9%
A 1
 
1.9%
J 1
 
1.9%
Other values (5) 5
 
9.3%
Hangul
ValueCountFrequency (%)
주 16
 
5.4%
트 16
 
5.4%
인 14
 
4.8%
엔 14
 
4.8%
터 13
 
4.4%
먼 12
 
4.1%
테 11
 
3.7%
스 10
 
3.4%
사 10
 
3.4%
회 9
 
3.1%
Other values (87) 169
57.5%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2015-05-29 14:17:57
Maximum2024-03-15 17:07:24
2024-05-11T17:34:49.792227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:34:49.894687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
24 
U
15 

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 24
61.5%
U 15
38.5%

Length

2024-05-11T17:34:49.998017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:50.090577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 24
61.5%
u 15
38.5%

데이터갱신일자
Date

Distinct29
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-05-11T17:34:50.169884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:34:50.275775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(X)
Real number (ℝ)

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204849.39
Minimum202132.96
Maximum206623.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T17:34:50.380043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202132.96
5-th percentile202617.72
Q1203930.68
median205276.68
Q3205976.33
95-th percentile206362.8
Maximum206623.22
Range4490.2615
Interquartile range (IQR)2045.6492

Descriptive statistics

Standard deviation1321.8728
Coefficient of variation (CV)0.0064529006
Kurtosis-0.77841739
Mean204849.39
Median Absolute Deviation (MAD)864.49596
Skewness-0.65484113
Sum7989126.2
Variance1747347.6
MonotonicityNot monotonic
2024-05-11T17:34:50.479468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
206154.524874959 3
 
7.7%
206141.179571336 2
 
5.1%
206009.495097994 2
 
5.1%
203176.013180513 2
 
5.1%
202666.663570798 2
 
5.1%
205943.156703269 1
 
2.6%
205276.683609226 1
 
2.6%
204122.136152212 1
 
2.6%
205356.671618628 1
 
2.6%
205668.188604339 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
202132.961071614 1
2.6%
202177.18063447 1
2.6%
202666.663570798 2
5.1%
202785.097798743 1
2.6%
203075.098504907 1
2.6%
203176.013180513 2
5.1%
203636.559914489 1
2.6%
203774.198500146 1
2.6%
204087.154871782 1
2.6%
204122.136152212 1
2.6%
ValueCountFrequency (%)
206623.222570241 1
 
2.6%
206603.229942876 1
 
2.6%
206336.082009 1
 
2.6%
206154.524874959 3
7.7%
206141.179571336 2
5.1%
206009.495097994 2
5.1%
205943.156703269 1
 
2.6%
205787.106208763 1
 
2.6%
205729.86493205 1
 
2.6%
205668.475124572 1
 
2.6%

좌표정보(Y)
Real number (ℝ)

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452981.18
Minimum451191.35
Maximum455260.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T17:34:50.583463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451191.35
5-th percentile451705.36
Q1451907.8
median452777.06
Q3453985.21
95-th percentile454833.15
Maximum455260.04
Range4068.696
Interquartile range (IQR)2077.4192

Descriptive statistics

Standard deviation1123.6055
Coefficient of variation (CV)0.0024804684
Kurtosis-0.9999059
Mean452981.18
Median Absolute Deviation (MAD)960.78668
Skewness0.37466153
Sum17666266
Variance1262489.4
MonotonicityNot monotonic
2024-05-11T17:34:50.699345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
451816.269893657 3
 
7.7%
451851.162759383 2
 
5.1%
451806.846262685 2
 
5.1%
453635.83129366 2
 
5.1%
452981.373965337 2
 
5.1%
452716.269827811 1
 
2.6%
454821.938653784 1
 
2.6%
454719.205565844 1
 
2.6%
454005.836110988 1
 
2.6%
454716.089928803 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
451191.34653897 1
 
2.6%
451314.311344192 1
 
2.6%
451748.804705554 1
 
2.6%
451806.846262685 2
5.1%
451816.269893657 3
7.7%
451851.162759383 2
5.1%
451964.428771 1
 
2.6%
452168.803008 1
 
2.6%
452264.291909219 1
 
2.6%
452267.296291974 1
 
2.6%
ValueCountFrequency (%)
455260.042544399 1
2.6%
454934.047367752 1
2.6%
454821.938653784 1
2.6%
454719.205565844 1
2.6%
454716.089928803 1
2.6%
454267.127897016 1
2.6%
454211.240874678 1
2.6%
454012.938548564 1
2.6%
454005.836110988 1
2.6%
453987.915738255 1
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
대중문화예술기획업
22 
<NA>
17 

Length

Max length9
Median length9
Mean length6.8205128
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 22
56.4%
<NA> 17
43.6%

Length

2024-05-11T17:34:50.822390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:50.923326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 22
56.4%
na 17
43.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
유통관련업
22 
<NA>
17 

Length

Max length5
Median length5
Mean length4.5641026
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 22
56.4%
<NA> 17
43.6%

Length

2024-05-11T17:34:51.026459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:51.116599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 22
56.4%
na 17
43.6%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:51.212890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:51.520115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

제작취급품목내용
Text

MISSING 

Distinct20
Distinct (%)90.9%
Missing17
Missing (%)43.6%
Memory size444.0 B
2024-05-11T17:34:51.658314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length22
Mean length14.272727
Min length4

Characters and Unicode

Total characters314
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row연예매니지먼트, 연예인대리 등
2nd row공연관련 기획 및 제작, 연예인 매니지먼트
3rd row연예매니지먼트. 국내외공연, 이벤트, 행사기획 및 제작
4th row에이전시, 매니지먼트, 행사대행, 행사기획
5th row에이전시, 매니지먼트, 행사대행, 행사기획
ValueCountFrequency (%)
매니지먼트 5
 
8.5%
에이전시 4
 
6.8%
및 4
 
6.8%
공연 3
 
5.1%
연예매니지먼트 3
 
5.1%
행사기획 3
 
5.1%
행사대행 3
 
5.1%
음반 2
 
3.4%
기획 2
 
3.4%
제작 2
 
3.4%
Other values (26) 28
47.5%
2024-05-11T17:34:51.948429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
11.8%
, 23
 
7.3%
연 17
 
5.4%
트 15
 
4.8%
먼 13
 
4.1%
행 11
 
3.5%
매 11
 
3.5%
니 11
 
3.5%
예 10
 
3.2%
지 10
 
3.2%
Other values (55) 156
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 250
79.6%
Space Separator 37
 
11.8%
Other Punctuation 27
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 17
 
6.8%
트 15
 
6.0%
먼 13
 
5.2%
행 11
 
4.4%
매 11
 
4.4%
니 11
 
4.4%
예 10
 
4.0%
지 10
 
4.0%
인 9
 
3.6%
기 9
 
3.6%
Other values (51) 134
53.6%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
/ 3
 
11.1%
. 1
 
3.7%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 250
79.6%
Common 64
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 17
 
6.8%
트 15
 
6.0%
먼 13
 
5.2%
행 11
 
4.4%
매 11
 
4.4%
니 11
 
4.4%
예 10
 
4.0%
지 10
 
4.0%
인 9
 
3.6%
기 9
 
3.6%
Other values (51) 134
53.6%
Common
ValueCountFrequency (%)
37
57.8%
, 23
35.9%
/ 3
 
4.7%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 250
79.6%
ASCII 64
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
57.8%
, 23
35.9%
/ 3
 
4.7%
. 1
 
1.6%
Hangul
ValueCountFrequency (%)
연 17
 
6.8%
트 15
 
6.0%
먼 13
 
5.2%
행 11
 
4.4%
매 11
 
4.4%
니 11
 
4.4%
예 10
 
4.0%
지 10
 
4.0%
인 9
 
3.6%
기 9
 
3.6%
Other values (51) 134
53.6%

시설면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0.0
 
2
145.16
 
1

Length

Max length6
Median length4
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
92.3%
0.0 2
 
5.1%
145.16 1
 
2.6%

Length

2024-05-11T17:34:52.074674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:52.169301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0.0 2
 
5.1%
145.16 1
 
2.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:52.261245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:52.371512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:52.481082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:52.583933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:52.682816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:52.776220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:52.864651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:52.953852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:53.054649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:53.141556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:53.234036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:53.325768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T17:34:53.417599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:34:53.517853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF324109201500000120150522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장한로**길 지하 * (장안동)130840주식회사 알비더블유2015-05-29 14:17:57I2018-08-31 23:59:59.0<NA>206141.179571451851.162759대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 연예인대리 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13050000CDFF324109201500000420150615<NA>3폐업3폐업20160630<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 홍릉로 **-* (청량리동)2484주식회사 엔터라이즈2016-06-30 13:47:47I2018-08-31 23:59:59.0<NA>203774.1985453753.783214대중문화예술기획업유통관련업<NA><NA>공연관련 기획 및 제작, 연예인 매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000CDFF324109201500000520150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 황물로 ** (답십리동)2593(주)레인보우2015-07-24 15:36:14I2018-08-31 23:59:59.0<NA>204087.154872452267.296292대중문화예술기획업유통관련업<NA><NA>연예매니지먼트. 국내외공연, 이벤트, 행사기획 및 제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFF324109201500000720150807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 정릉천동로 *** (제기동)24784U엔터테인먼트2015-08-07 16:24:44I2018-08-31 23:59:59.0<NA>203176.013181453635.831294대중문화예술기획업유통관련업<NA><NA>에이전시, 매니지먼트, 행사대행, 행사기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43050000CDFF324109201500000820150807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 정릉천동로 *** (제기동)2478캐스팅4U2015-08-07 16:24:53I2018-08-31 23:59:59.0<NA>203176.013181453635.831294대중문화예술기획업유통관련업<NA><NA>에이전시, 매니지먼트, 행사대행, 행사기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFF324109201500001120150601<NA>3폐업3폐업20181115<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 한천로 **, **층 (장안동, 화성빌딩)2631엠플러스2018-12-03 19:58:02U2018-12-05 02:40:00.0<NA>205544.128927451964.428771대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFF324109201500001220151113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 사가정로 *** (장안동, 원영빌딩)2519(주)디엔터테인먼트2015-11-13 18:03:02I2018-08-31 23:59:59.0<NA>206623.22257453057.1653대중문화예술기획업유통관련업<NA><NA>공연제작 기획, 매니지먼트 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73050000CDFF324109201600000120150630<NA>2휴업2휴업<NA>2019072820200128<NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-**번지 한솔동의보감서울특별시 동대문구 왕산로 *** (제기동, 한솔동의보감)2568미라클에프앤씨(주)2019-07-30 14:28:44U2019-08-01 02:40:00.0<NA>203075.098505452918.836458대중문화예술기획업유통관련업<NA><NA>연예기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFF324109201600000220160509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장한로**다길 **, ***층 ****호 (장안동, 장안동 현대*차 홈타운)2639THE WIN(더윈모델)2016-05-09 08:57:30I2018-08-31 23:59:59.0<NA>206336.082009452168.803008대중문화예술기획업유통관련업<NA><NA>모델에이전시, 광고대행, 행사대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93050000CDFF324109201600000320150817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 천호대로**길 **, *층 ***호 (장안동, 동원빌딩)2644테이크 노트2016-07-10 12:46:50I2018-08-31 23:59:59.0<NA>205787.106209451191.346539대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><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
293050000CDFF324109202200000420220627<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-**서울특별시 동대문구 휘경로 ** (휘경동)2428매니지먼트 윤슬2022-06-27 13:43:27I2021-12-05 22:09:00.0<NA>205668.188604454716.089929<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303050000CDFF32410920220000052020-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 ***-**서울특별시 동대문구 서울시립대로 ***, ***호 (전농동)2557텐밀리그램 디지털 미디어 그룹2023-07-03 19:25:13U2022-12-07 00:05:00.0<NA>204469.161187453198.869809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313050000CDFF324109202200000620220914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 **-*서울특별시 동대문구 회기로 ***, *층 (회기동)2460으라차차 예술단2022-09-14 09:42:44I2021-12-08 23:06:00.0<NA>204794.048907454211.240875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323050000CDFF324109202200000720220926<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 장안현대벤처빌 ***호서울특별시 동대문구 장한로 **, 장안현대벤처빌 ***호 (장안동)2625넥스트 유포리아2022-09-26 09:34:29I2021-12-08 22:08:00.0<NA>206009.495098451806.846263<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333050000CDFF324109202200000820221212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-965-0815<NA><NA>서울특별시 동대문구 회기동 1-5 경희대학교,경희초,중,고,여자중고등학교서울특별시 동대문구 경희대로 26, 경희대학교,경희초,중,고,여자중고등학교 삼의원 창업센터동 313호 (회기동)2447자블(JABBLE)2022-12-12 10:33:24I2021-11-01 23:04:00.0<NA>204469.209049454934.047368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343050000CDFF32410920230000012023-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3394-5771<NA><NA>서울특별시 동대문구 장안동 ***-* 평산빌딩 ***호서울특별시 동대문구 천호대로**길 **, 평산빌딩 *층 ***호 (장안동)2636(주)디엔디엔터테인먼트2023-09-25 11:07:36U2022-12-08 22:07:00.0<NA>205729.864932451314.311344<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353050000CDFF32410920230000022017-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 *** 용두롯데캐슬리치서울특별시 동대문구 한빛로 **, ***동 ***호 (용두동, 용두롯데캐슬리치)2577가족액터스2023-03-23 09:20:47I2022-12-02 22:05:00.0<NA>202666.663571452981.373965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363050000CDFF32410920230000042023-06-23<NA>5제외/삭제/전출15전출2023-07-28<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 **-*** 상아빌서울특별시 동대문구 고산자로**길 **, 상아빌 *층 ***호 (용두동)2563주식회사 메이드커뮤니케이션2023-07-28 10:18:23U2022-12-06 21:00:00.0<NA>203636.559914452448.468549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373050000CDFF32410920230000052023-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 *** 휘경동 맥스타워서울특별시 동대문구 망우로**길 **, 휘경동 맥스타워 ***호 (휘경동)2436주식회사 피넛버터엔터테인먼트2023-09-04 08:48:59I2022-12-09 00:06:00.0<NA>205410.814457454267.127897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383050000CDFF32410920230000062023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 서희스타힐스서울특별시 동대문구 장한로**길 *, ***호 (장안동, 서희스타힐스)2639주식회사 디엔디이엔에스2023-11-02 20:08:57I2022-11-01 00:04:00.0<NA>206141.179571451851.162759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>