Overview

Dataset statistics

Number of variables56
Number of observations89
Missing cells2494
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.6 KiB
Average record size in memory490.5 B

Variable types

Categorical17
Text5
DateTime4
Unsupported25
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17802/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (88.8%)Imbalance
지상층수 is highly imbalanced (83.4%)Imbalance
지하층수 is highly imbalanced (91.1%)Imbalance
통로너비 is highly imbalanced (91.1%)Imbalance
조명시설조도 is highly imbalanced (91.1%)Imbalance
노래방실수 is highly imbalanced (91.1%)Imbalance
청소년실수 is highly imbalanced (91.1%)Imbalance
총게임기수 is highly imbalanced (91.1%)Imbalance
인허가취소일자 has 89 (100.0%) missing valuesMissing
폐업일자 has 71 (79.8%) missing valuesMissing
휴업시작일자 has 89 (100.0%) missing valuesMissing
휴업종료일자 has 89 (100.0%) missing valuesMissing
재개업일자 has 89 (100.0%) missing valuesMissing
전화번호 has 31 (34.8%) missing valuesMissing
소재지면적 has 89 (100.0%) missing valuesMissing
소재지우편번호 has 61 (68.5%) missing valuesMissing
도로명주소 has 2 (2.2%) missing valuesMissing
도로명우편번호 has 34 (38.2%) missing valuesMissing
업태구분명 has 89 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
주변환경명 has 89 (100.0%) missing valuesMissing
시설면적 has 68 (76.4%) missing valuesMissing
건물용도명 has 89 (100.0%) missing valuesMissing
비상계단여부 has 89 (100.0%) missing valuesMissing
비상구여부 has 89 (100.0%) missing valuesMissing
자동환기여부 has 89 (100.0%) missing valuesMissing
청소년실여부 has 89 (100.0%) missing valuesMissing
특수조명여부 has 89 (100.0%) missing valuesMissing
방음시설여부 has 89 (100.0%) missing valuesMissing
비디오재생기명 has 89 (100.0%) missing valuesMissing
조명시설유무 has 89 (100.0%) missing valuesMissing
음향시설여부 has 89 (100.0%) missing valuesMissing
편의시설여부 has 89 (100.0%) missing valuesMissing
소방시설여부 has 89 (100.0%) missing valuesMissing
기존게임업외업종명 has 89 (100.0%) missing valuesMissing
제공게임물명 has 89 (100.0%) missing valuesMissing
공연장형태구분명 has 89 (100.0%) missing valuesMissing
품목명 has 89 (100.0%) missing valuesMissing
최초등록시점 has 89 (100.0%) missing valuesMissing
지역구분명 has 89 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
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
시설면적 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:52:21.368928
Analysis finished2024-05-11 06:52:22.159690
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
3000000
89 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3000000 89
100.0%

Length

2024-05-11T15:52:22.255528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:22.427420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 89
100.0%

관리번호
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T15:52:22.699482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1780
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

Unique89 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061999000001
2nd rowCDFF3241061999000002
3rd rowCDFF3241062000000001
4th rowCDFF3241062001000001
5th rowCDFF3241062001000002
ValueCountFrequency (%)
cdff3241061999000001 1
 
1.1%
cdff3241062014000001 1
 
1.1%
cdff3241062020000003 1
 
1.1%
cdff3241062020000002 1
 
1.1%
cdff3241062020000001 1
 
1.1%
cdff3241062019000005 1
 
1.1%
cdff3241062019000004 1
 
1.1%
cdff3241062019000003 1
 
1.1%
cdff3241062018000007 1
 
1.1%
cdff3241062018000006 1
 
1.1%
Other values (79) 79
88.8%
2024-05-11T15:52:23.181711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 663
37.2%
2 232
 
13.0%
F 178
 
10.0%
1 154
 
8.7%
3 114
 
6.4%
4 111
 
6.2%
6 103
 
5.8%
C 89
 
5.0%
D 89
 
5.0%
5 17
 
1.0%
Other values (3) 30
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1424
80.0%
Uppercase Letter 356
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 663
46.6%
2 232
 
16.3%
1 154
 
10.8%
3 114
 
8.0%
4 111
 
7.8%
6 103
 
7.2%
5 17
 
1.2%
9 14
 
1.0%
7 8
 
0.6%
8 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 178
50.0%
C 89
25.0%
D 89
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1424
80.0%
Latin 356
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 663
46.6%
2 232
 
16.3%
1 154
 
10.8%
3 114
 
8.0%
4 111
 
7.8%
6 103
 
7.2%
5 17
 
1.2%
9 14
 
1.0%
7 8
 
0.6%
8 8
 
0.6%
Latin
ValueCountFrequency (%)
F 178
50.0%
C 89
25.0%
D 89
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 663
37.2%
2 232
 
13.0%
F 178
 
10.0%
1 154
 
8.7%
3 114
 
6.4%
4 111
 
6.2%
6 103
 
5.8%
C 89
 
5.0%
D 89
 
5.0%
5 17
 
1.0%
Other values (3) 30
 
1.7%

인허가일자
Date

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum1999-10-19 00:00:00
Maximum2023-12-08 00:00:00
2024-05-11T15:52:23.368697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:23.562217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
1
71 
3
13 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
79.8%
3 13
 
14.6%
5 5
 
5.6%

Length

2024-05-11T15:52:23.733324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:23.883075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
79.8%
3 13
 
14.6%
5 5
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
영업/정상
71 
폐업
13 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.7303371
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 71
79.8%
폐업 13
 
14.6%
제외/삭제/전출 5
 
5.6%

Length

2024-05-11T15:52:24.050661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:24.240614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 71
79.8%
폐업 13
 
14.6%
제외/삭제/전출 5
 
5.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
13
71 
3
13 
15
 
5

Length

Max length2
Median length2
Mean length1.8539326
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 71
79.8%
3 13
 
14.6%
15 5
 
5.6%

Length

2024-05-11T15:52:24.461719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:24.656076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 71
79.8%
3 13
 
14.6%
15 5
 
5.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
영업중
71 
폐업
13 
전출
 
5

Length

Max length3
Median length3
Mean length2.7977528
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 71
79.8%
폐업 13
 
14.6%
전출 5
 
5.6%

Length

2024-05-11T15:52:24.866101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:25.086686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 71
79.8%
폐업 13
 
14.6%
전출 5
 
5.6%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)100.0%
Missing71
Missing (%)79.8%
Memory size844.0 B
Minimum2007-04-23 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T15:52:25.268134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:25.469206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

전화번호
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing31
Missing (%)34.8%
Memory size844.0 B
2024-05-11T15:52:25.800650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.534483
Min length8

Characters and Unicode

Total characters611
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row02-766-1122
2nd row02-2252-8432
3rd row02-743-1342
4th row02-736-7432
5th row02-722-7695
ValueCountFrequency (%)
02-2234-4992 1
 
1.7%
02-383-7580 1
 
1.7%
070-8967-0901 1
 
1.7%
396-1041 1
 
1.7%
3673-3424 1
 
1.7%
747-7790 1
 
1.7%
2233-4211 1
 
1.7%
070-8807-2443 1
 
1.7%
02-532-4875 1
 
1.7%
02-387-5411 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T15:52:26.334690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
16.7%
2 102
16.7%
- 92
15.1%
7 61
10.0%
3 49
8.0%
1 44
7.2%
4 43
7.0%
6 41
6.7%
5 30
 
4.9%
8 29
 
4.7%
Other values (2) 18
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 518
84.8%
Dash Punctuation 92
 
15.1%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
19.7%
2 102
19.7%
7 61
11.8%
3 49
9.5%
1 44
8.5%
4 43
8.3%
6 41
7.9%
5 30
 
5.8%
8 29
 
5.6%
9 17
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
16.7%
2 102
16.7%
- 92
15.1%
7 61
10.0%
3 49
8.0%
1 44
7.2%
4 43
7.0%
6 41
6.7%
5 30
 
4.9%
8 29
 
4.7%
Other values (2) 18
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
16.7%
2 102
16.7%
- 92
15.1%
7 61
10.0%
3 49
8.0%
1 44
7.2%
4 43
7.0%
6 41
6.7%
5 30
 
4.9%
8 29
 
4.7%
Other values (2) 18
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing61
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean110493.21
Minimum110052
Maximum110854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T15:52:26.505207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110052
5-th percentile110056.8
Q1110198
median110526
Q3110824
95-th percentile110840.6
Maximum110854
Range802
Interquartile range (IQR)626

Descriptive statistics

Standard deviation328.96722
Coefficient of variation (CV)0.0029772618
Kurtosis-1.8492439
Mean110493.21
Median Absolute Deviation (MAD)298
Skewness-0.16267207
Sum3093810
Variance108219.43
MonotonicityNot monotonic
2024-05-11T15:52:26.649497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
110260 2
 
2.2%
110824 2
 
2.2%
110826 2
 
2.2%
110062 2
 
2.2%
110801 2
 
2.2%
110707 1
 
1.1%
110767 1
 
1.1%
110702 1
 
1.1%
110230 1
 
1.1%
110320 1
 
1.1%
Other values (13) 13
 
14.6%
(Missing) 61
68.5%
ValueCountFrequency (%)
110052 1
1.1%
110054 1
1.1%
110062 2
2.2%
110070 1
1.1%
110100 1
1.1%
110102 1
1.1%
110230 1
1.1%
110260 2
2.2%
110290 1
1.1%
110320 1
1.1%
ValueCountFrequency (%)
110854 1
1.1%
110842 1
1.1%
110838 1
1.1%
110829 1
1.1%
110826 2
2.2%
110824 2
2.2%
110817 1
1.1%
110801 2
2.2%
110767 1
1.1%
110707 1
1.1%

지번주소
Text

Distinct87
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T15:52:27.038996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length25.94382
Min length15

Characters and Unicode

Total characters2309
Distinct characters144
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

Unique85 ?
Unique (%)95.5%

Sample

1st row서울특별시 종로구 창신동 ***-*번지
2nd row서울특별시 종로구 숭인동 ***-**번지
3rd row서울특별시 종로구 창신동 **-*번지
4th row서울특별시 종로구 교남동 **번지 덕산빌딩 ***호
5th row서울특별시 종로구 인사동 ***번지 인의빌딩 ***호
ValueCountFrequency (%)
서울특별시 89
19.1%
종로구 89
19.1%
번지 58
12.5%
33
 
7.1%
층 25
 
5.4%
호 14
 
3.0%
종로*가 7
 
1.5%
동숭동 6
 
1.3%
낙원동 6
 
1.3%
창신동 6
 
1.3%
Other values (97) 132
28.4%
2024-05-11T15:52:27.734898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
18.9%
* 400
17.3%
로 102
 
4.4%
종 98
 
4.2%
서 92
 
4.0%
구 90
 
3.9%
울 90
 
3.9%
시 90
 
3.9%
별 89
 
3.9%
특 89
 
3.9%
Other values (134) 732
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1406
60.9%
Space Separator 437
 
18.9%
Other Punctuation 401
 
17.4%
Dash Punctuation 54
 
2.3%
Uppercase Letter 5
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 102
 
7.3%
종 98
 
7.0%
서 92
 
6.5%
구 90
 
6.4%
울 90
 
6.4%
시 90
 
6.4%
별 89
 
6.3%
특 89
 
6.3%
동 83
 
5.9%
지 65
 
4.6%
Other values (122) 518
36.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
Y 1
20.0%
B 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 400
99.8%
, 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1406
60.9%
Common 898
38.9%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 102
 
7.3%
종 98
 
7.0%
서 92
 
6.5%
구 90
 
6.4%
울 90
 
6.4%
시 90
 
6.4%
별 89
 
6.3%
특 89
 
6.3%
동 83
 
5.9%
지 65
 
4.6%
Other values (122) 518
36.8%
Common
ValueCountFrequency (%)
437
48.7%
* 400
44.5%
- 54
 
6.0%
) 2
 
0.2%
( 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
C 2
40.0%
Y 1
20.0%
B 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
60.9%
ASCII 903
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
48.4%
* 400
44.3%
- 54
 
6.0%
) 2
 
0.2%
C 2
 
0.2%
( 2
 
0.2%
Y 1
 
0.1%
B 1
 
0.1%
7 1
 
0.1%
0 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
로 102
 
7.3%
종 98
 
7.0%
서 92
 
6.5%
구 90
 
6.4%
울 90
 
6.4%
시 90
 
6.4%
별 89
 
6.3%
특 89
 
6.3%
동 83
 
5.9%
지 65
 
4.6%
Other values (122) 518
36.8%

도로명주소
Text

MISSING 

Distinct87
Distinct (%)100.0%
Missing2
Missing (%)2.2%
Memory size844.0 B
2024-05-11T15:52:28.176348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length31.873563
Min length23

Characters and Unicode

Total characters2773
Distinct characters158
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

Unique87 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 종로**길 ** (창신동)
2nd row서울특별시 종로구 종로**길 ** (숭인동)
3rd row서울특별시 종로구 지봉로*길 * (창신동)
4th row서울특별시 종로구 통일로 *** (교남동,덕산빌딩 ***호)
5th row서울특별시 종로구 종로**길 ** (인사동,인의빌딩 ***호)
ValueCountFrequency (%)
89
16.5%
서울특별시 87
16.1%
종로구 87
16.1%
층 32
 
5.9%
호 18
 
3.3%
종로 10
 
1.8%
동숭동 6
 
1.1%
종로*가 6
 
1.1%
종로**길 5
 
0.9%
창신동 4
 
0.7%
Other values (146) 197
36.4%
2024-05-11T15:52:28.772361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
17.5%
* 410
 
14.8%
로 175
 
6.3%
종 118
 
4.3%
서 90
 
3.2%
( 89
 
3.2%
) 89
 
3.2%
울 88
 
3.2%
시 88
 
3.2%
구 88
 
3.2%
Other values (148) 1053
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1595
57.5%
Space Separator 485
 
17.5%
Other Punctuation 485
 
17.5%
Open Punctuation 89
 
3.2%
Close Punctuation 89
 
3.2%
Dash Punctuation 17
 
0.6%
Uppercase Letter 8
 
0.3%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 175
 
11.0%
종 118
 
7.4%
서 90
 
5.6%
울 88
 
5.5%
시 88
 
5.5%
구 88
 
5.5%
동 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
층 48
 
3.0%
Other values (132) 639
40.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
L 1
12.5%
S 1
12.5%
B 1
12.5%
Y 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 410
84.5%
, 75
 
15.5%
Space Separator
ValueCountFrequency (%)
485
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1595
57.5%
Common 1170
42.2%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 175
 
11.0%
종 118
 
7.4%
서 90
 
5.6%
울 88
 
5.5%
시 88
 
5.5%
구 88
 
5.5%
동 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
층 48
 
3.0%
Other values (132) 639
40.1%
Common
ValueCountFrequency (%)
485
41.5%
* 410
35.0%
( 89
 
7.6%
) 89
 
7.6%
, 75
 
6.4%
- 17
 
1.5%
3 2
 
0.2%
7 1
 
0.1%
~ 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
L 1
12.5%
S 1
12.5%
B 1
12.5%
Y 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1595
57.5%
ASCII 1178
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
485
41.2%
* 410
34.8%
( 89
 
7.6%
) 89
 
7.6%
, 75
 
6.4%
- 17
 
1.4%
A 2
 
0.2%
C 2
 
0.2%
3 2
 
0.2%
7 1
 
0.1%
Other values (6) 6
 
0.5%
Hangul
ValueCountFrequency (%)
로 175
 
11.0%
종 118
 
7.4%
서 90
 
5.6%
울 88
 
5.5%
시 88
 
5.5%
구 88
 
5.5%
동 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
층 48
 
3.0%
Other values (132) 639
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)78.2%
Missing34
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean7011.6727
Minimum3004
Maximum110370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T15:52:28.921272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3004
5-th percentile3020
Q13073.5
median3130
Q33173.5
95-th percentile3192.6
Maximum110370
Range107366
Interquartile range (IQR)100

Descriptive statistics

Standard deviation20254.415
Coefficient of variation (CV)2.8886709
Kurtosis24.846482
Mean7011.6727
Median Absolute Deviation (MAD)46
Skewness5.0934722
Sum385642
Variance4.1024133 × 108
MonotonicityNot monotonic
2024-05-11T15:52:29.138450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3190 3
 
3.4%
3086 3
 
3.4%
3074 2
 
2.2%
3186 2
 
2.2%
3157 2
 
2.2%
3085 2
 
2.2%
3142 2
 
2.2%
3173 2
 
2.2%
3174 2
 
2.2%
3020 2
 
2.2%
Other values (33) 33
37.1%
(Missing) 34
38.2%
ValueCountFrequency (%)
3004 1
1.1%
3010 1
1.1%
3020 2
2.2%
3027 1
1.1%
3028 1
1.1%
3033 1
1.1%
3036 1
1.1%
3040 1
1.1%
3043 1
1.1%
3044 1
1.1%
ValueCountFrequency (%)
110370 1
 
1.1%
110280 1
 
1.1%
3194 1
 
1.1%
3192 1
 
1.1%
3191 1
 
1.1%
3190 3
3.4%
3186 2
2.2%
3176 1
 
1.1%
3175 1
 
1.1%
3174 2
2.2%

사업장명
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T15:52:29.556176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.258427
Min length3

Characters and Unicode

Total characters735
Distinct characters220
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

Unique89 ?
Unique (%)100.0%

Sample

1st row선진상사
2nd rowOK뮤직
3rd row하나음반
4th row한빛코리아
5th rowYK MEDIA
ValueCountFrequency (%)
주식회사 11
 
8.7%
주)프로덕션 2
 
1.6%
사단법인 2
 
1.6%
선진상사 1
 
0.8%
don 1
 
0.8%
n 1
 
0.8%
돈앤돈랩(don 1
 
0.8%
고금 1
 
0.8%
702 1
 
0.8%
플랫폼 1
 
0.8%
Other values (105) 105
82.7%
2024-05-11T15:52:30.197512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
5.3%
38
 
5.2%
) 31
 
4.2%
( 31
 
4.2%
이 29
 
3.9%
스 20
 
2.7%
사 18
 
2.4%
트 14
 
1.9%
인 13
 
1.8%
회 13
 
1.8%
Other values (210) 489
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
77.8%
Space Separator 38
 
5.2%
Uppercase Letter 36
 
4.9%
Close Punctuation 31
 
4.2%
Open Punctuation 31
 
4.2%
Lowercase Letter 16
 
2.2%
Other Punctuation 5
 
0.7%
Decimal Number 4
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
6.8%
이 29
 
5.1%
스 20
 
3.5%
사 18
 
3.1%
트 14
 
2.4%
인 13
 
2.3%
회 13
 
2.3%
디 12
 
2.1%
식 11
 
1.9%
아 10
 
1.7%
Other values (169) 393
68.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
13.9%
D 4
11.1%
A 3
 
8.3%
K 3
 
8.3%
O 3
 
8.3%
E 3
 
8.3%
L 2
 
5.6%
N 2
 
5.6%
I 2
 
5.6%
X 1
 
2.8%
Other values (8) 8
22.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
12.5%
n 2
12.5%
p 2
12.5%
r 2
12.5%
d 1
6.2%
b 1
6.2%
a 1
6.2%
c 1
6.2%
i 1
6.2%
s 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
2 1
25.0%
0 1
25.0%
7 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
77.8%
Common 111
 
15.1%
Latin 52
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
6.8%
이 29
 
5.1%
스 20
 
3.5%
사 18
 
3.1%
트 14
 
2.4%
인 13
 
2.3%
회 13
 
2.3%
디 12
 
2.1%
식 11
 
1.9%
아 10
 
1.7%
Other values (169) 393
68.7%
Latin
ValueCountFrequency (%)
M 5
 
9.6%
D 4
 
7.7%
A 3
 
5.8%
K 3
 
5.8%
O 3
 
5.8%
E 3
 
5.8%
L 2
 
3.8%
o 2
 
3.8%
n 2
 
3.8%
N 2
 
3.8%
Other values (20) 23
44.2%
Common
ValueCountFrequency (%)
38
34.2%
) 31
27.9%
( 31
27.9%
. 3
 
2.7%
- 2
 
1.8%
3 1
 
0.9%
& 1
 
0.9%
, 1
 
0.9%
2 1
 
0.9%
0 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
77.8%
ASCII 163
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
6.8%
이 29
 
5.1%
스 20
 
3.5%
사 18
 
3.1%
트 14
 
2.4%
인 13
 
2.3%
회 13
 
2.3%
디 12
 
2.1%
식 11
 
1.9%
아 10
 
1.7%
Other values (169) 393
68.7%
ASCII
ValueCountFrequency (%)
38
23.3%
) 31
19.0%
( 31
19.0%
M 5
 
3.1%
D 4
 
2.5%
A 3
 
1.8%
K 3
 
1.8%
O 3
 
1.8%
E 3
 
1.8%
. 3
 
1.8%
Other values (31) 39
23.9%

최종수정일자
Date

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2006-02-03 15:00:42
Maximum2024-04-12 11:01:41
2024-05-11T15:52:30.374978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:30.556087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
I
74 
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 74
83.1%
U 15
 
16.9%

Length

2024-05-11T15:52:30.725673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:30.857261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
83.1%
u 15
 
16.9%

데이터갱신일자
Date

Distinct36
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-05-11T15:52:31.000919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:31.214401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)93.2%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean198816.75
Minimum196742.45
Maximum201960.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T15:52:31.421573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196742.45
5-th percentile196848.57
Q1197571.71
median198782.04
Q3199775.28
95-th percentile201348.98
Maximum201960.3
Range5217.8582
Interquartile range (IQR)2203.5678

Descriptive statistics

Standard deviation1367.148
Coefficient of variation (CV)0.0068764228
Kurtosis-0.65357985
Mean198816.75
Median Absolute Deviation (MAD)1181.6686
Skewness0.42288676
Sum17495874
Variance1869093.8
MonotonicityNot monotonic
2024-05-11T15:52:31.956027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201529.832259403 2
 
2.2%
199509.962000656 2
 
2.2%
198150.300374121 2
 
2.2%
198782.040240111 2
 
2.2%
198176.159239663 2
 
2.2%
197465.223921125 2
 
2.2%
198624.006469032 1
 
1.1%
198751.053912826 1
 
1.1%
199124.131347466 1
 
1.1%
198286.311784052 1
 
1.1%
Other values (72) 72
80.9%
ValueCountFrequency (%)
196742.446187705 1
1.1%
196787.886795213 1
1.1%
196791.150993539 1
1.1%
196820.703320415 1
1.1%
196848.012175274 1
1.1%
196849.592171556 1
1.1%
197003.429258845 1
1.1%
197068.887091619 1
1.1%
197108.163681959 1
1.1%
197162.370048856 1
1.1%
ValueCountFrequency (%)
201960.304346071 1
1.1%
201684.94301241 1
1.1%
201529.832259403 2
2.2%
201386.764040971 1
1.1%
201278.805233779 1
1.1%
201233.684557102 1
1.1%
200971.425717609 1
1.1%
200960.04169516 1
1.1%
200942.787070807 1
1.1%
200424.69292314 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)93.2%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean452706.8
Minimum451811.27
Maximum456364.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T15:52:32.192553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451811.27
5-th percentile451895.36
Q1452156.33
median452389.36
Q3453141.82
95-th percentile454323.09
Maximum456364.15
Range4552.8804
Interquartile range (IQR)985.49185

Descriptive statistics

Standard deviation855.0888
Coefficient of variation (CV)0.0018888358
Kurtosis5.8160362
Mean452706.8
Median Absolute Deviation (MAD)398.43815
Skewness2.0964178
Sum39838198
Variance731176.85
MonotonicityNot monotonic
2024-05-11T15:52:32.435010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452434.341442986 2
 
2.2%
451888.555001545 2
 
2.2%
452019.212642931 2
 
2.2%
452995.498884123 2
 
2.2%
452574.67151361 2
 
2.2%
452366.613899898 2
 
2.2%
452310.752960617 1
 
1.1%
451962.484078847 1
 
1.1%
451907.993641257 1
 
1.1%
452091.444332546 1
 
1.1%
Other values (72) 72
80.9%
ValueCountFrequency (%)
451811.272474605 1
1.1%
451814.424196043 1
1.1%
451876.268556249 1
1.1%
451888.555001545 2
2.2%
451907.993641257 1
1.1%
451932.36673738 1
1.1%
451935.97522869 1
1.1%
451938.037703258 1
1.1%
451945.026381457 1
1.1%
451961.195542884 1
1.1%
ValueCountFrequency (%)
456364.152893731 1
1.1%
456178.428174823 1
1.1%
454828.188507729 1
1.1%
454767.077088295 1
1.1%
454517.364202652 1
1.1%
453962.281450199 1
1.1%
453693.071412414 1
1.1%
453540.210475854 1
1.1%
453529.00369153 1
1.1%
453477.628999916 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
음반.음악영상물제작업
68 
<NA>
21 

Length

Max length11
Median length11
Mean length9.3483146
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 68
76.4%
<NA> 21
 
23.6%

Length

2024-05-11T15:52:32.650388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:32.825335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 68
76.4%
na 21
 
23.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
유통관련업
68 
<NA>
21 

Length

Max length5
Median length5
Mean length4.7640449
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 68
76.4%
<NA> 21
 
23.6%

Length

2024-05-11T15:52:32.991791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:33.159832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 68
76.4%
na 21
 
23.6%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
87 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9325843
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
97.8%
1 1
 
1.1%
0 1
 
1.1%

Length

2024-05-11T15:52:33.324077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:33.464999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
97.8%
1 1
 
1.1%
0 1
 
1.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

제작취급품목내용
Categorical

Distinct27
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
36 
음반
26 
음반, 음악영상물
 
2
뮤직비디오
 
2
음반,음악영상물,음악파일,음악영상파일
 
1
Other values (22)
22 

Length

Max length38
Median length33
Mean length5.3707865
Min length2

Unique

Unique23 ?
Unique (%)25.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
40.4%
음반 26
29.2%
음반, 음악영상물 2
 
2.2%
뮤직비디오 2
 
2.2%
음반,음악영상물,음악파일,음악영상파일 1
 
1.1%
비디오영상물,광고물,방송프로그램 등 1
 
1.1%
음반물 1
 
1.1%
레코드 1
 
1.1%
영상물 1
 
1.1%
디지털콘텐츠 1
 
1.1%
Other values (17) 17
19.1%

Length

2024-05-11T15:52:33.643273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 36
31.3%
음반 33
28.7%
음악영상물 5
 
4.3%
뮤직비디오 4
 
3.5%
음반.음악영상물 2
 
1.7%
제작 2
 
1.7%
음악 2
 
1.7%
영상물 2
 
1.7%
및 2
 
1.7%
음반.음앙영상콘텐츠 1
 
0.9%
Other values (26) 26
22.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)100.0%
Missing68
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean114.67095
Minimum0
Maximum915.7
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T15:52:33.802324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.25
Q129.37
median65.93
Q384.19
95-th percentile326
Maximum915.7
Range915.7
Interquartile range (IQR)54.82

Descriptive statistics

Standard deviation198.7181
Coefficient of variation (CV)1.7329419
Kurtosis14.450759
Mean114.67095
Median Absolute Deviation (MAD)29.7
Skewness3.6454763
Sum2408.09
Variance39488.884
MonotonicityNot monotonic
2024-05-11T15:52:33.947131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
41.38 1
 
1.1%
0.0 1
 
1.1%
8.25 1
 
1.1%
915.7 1
 
1.1%
26.4 1
 
1.1%
326.0 1
 
1.1%
18.45 1
 
1.1%
72.0 1
 
1.1%
36.23 1
 
1.1%
68.59 1
 
1.1%
Other values (11) 11
 
12.4%
(Missing) 68
76.4%
ValueCountFrequency (%)
0.0 1
1.1%
8.25 1
1.1%
18.45 1
1.1%
20.0 1
1.1%
26.4 1
1.1%
29.37 1
1.1%
36.23 1
1.1%
41.38 1
1.1%
49.5 1
1.1%
60.0 1
1.1%
ValueCountFrequency (%)
915.7 1
1.1%
326.0 1
1.1%
237.0 1
1.1%
118.91 1
1.1%
92.68 1
1.1%
84.19 1
1.1%
72.0 1
1.1%
71.4 1
1.1%
68.59 1
1.1%
66.11 1
1.1%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
85 
4
 
2
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.8651685
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
95.5%
4 2
 
2.2%
2 1
 
1.1%
0 1
 
1.1%

Length

2024-05-11T15:52:34.143584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:34.358653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
95.5%
4 2
 
2.2%
2 1
 
1.1%
0 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:34.551524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:34.712315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:34.868329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:35.034573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:35.194050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:35.337500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:35.492735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:35.633398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:35.772820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:35.916503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
0
 
1

Length

Max length4
Median length4
Mean length3.9662921
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
0 1
 
1.1%

Length

2024-05-11T15:52:36.063457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:36.193057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
0 1
 
1.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF324106199900000119991116<NA>3폐업3폐업20160616<NA><NA><NA>02-766-1122<NA>110842서울특별시 종로구 창신동 ***-*번지서울특별시 종로구 종로**길 ** (창신동)<NA>선진상사2016-06-16 11:24:09I2018-08-31 23:59:59.0<NA>200942.787071452138.418022음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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53000000CDFF324106200100000320010927<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-3300<NA><NA>서울특별시 종로구 충신동 **번지 예일빌딩 *층서울특별시 종로구 율곡로 *** (충신동)3123(주)디엔에이엔터테인먼트2013-12-31 13:17:34I2018-08-31 23:59:59.0<NA>200342.282273452556.296391음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFF324106200200000120020816<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-2262<NA>110260서울특별시 종로구 가회동 ***-*번지 덕양빌딩 *층서울특별시 종로구 북촌로 **-* (가회동,덕양빌딩 *층)<NA>히어나우시스템2007-05-27 12:31:29I2018-08-31 23:59:59.0<NA>198625.19138453151.482791음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF324106200200000220020221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2000-0509<NA><NA>서울특별시 종로구 종로*가 **-*서울특별시 종로구 종로 *** (종로*가)<NA>(주)와이비엠2022-07-08 13:41:16U2021-12-06 23:02:00.0<NA>198939.372168451961.195543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF324106200300000120030310<NA>1영업/정상13영업중<NA><NA><NA><NA>2260-4424<NA><NA>서울특별시 종로구 인의동 **-* 인의빌딩*층서울특별시 종로구 창경궁로 ***-* (인의동)3130(주)와이비엠교육2021-01-08 09:06:01U2021-01-10 02:40:00.0<NA>199761.062397452253.741854음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
793000000CDFF324106202200000120220707<NA>5제외/삭제/전출15전출20221018<NA><NA><NA><NA><NA><NA>서울특별시 종로구 충신동 ***-* 충신빌딩서울특별시 종로구 종로**길 **, 충신빌딩 *층 ***호 (충신동)3125블랙제이스2022-10-18 10:46:54U2021-10-30 22:00:00.0<NA>200321.720358452328.663816<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803000000CDFF324106202200000220220713<NA>1영업/정상13영업중<NA><NA><NA><NA>07050303815<NA><NA>서울특별시 종로구 당주동 ***-** 동원빌딩서울특별시 종로구 새문안로*길 **, 동원빌딩 *층 (당주동)3175웁시 주식회사2022-07-13 08:43:53I2021-12-06 23:05:00.0<NA>197484.983911452162.304535<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813000000CDFF324106202200000320220905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 *** 창신쌍용아파트 *지구 상가서울특별시 종로구 낙산길 ***, 창신쌍용아파트 *지구 상가 상가동 *층 *호 (창신동)3092에이사 뮤직2022-09-05 18:32:54I2021-12-09 00:07:00.0<NA>200971.425718453113.875179<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823000000CDFF324106202200000420221128<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6338-2428<NA><NA>서울특별시 종로구 관철동 **-* 삼일빌딩서울특별시 종로구 청계천로 **, 삼일빌딩 **층 (관철동)3190뮤직킹 주식회사2022-11-28 11:01:23I2021-10-31 21:00:00.0<NA>198795.525085451811.272475<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833000000CDFF32410620220000052022-12-07<NA>3폐업3폐업2023-11-02<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 **-* 삼양빌딩서울특별시 종로구 종로 **-*, 삼양빌딩 ***호 (종로*가)3190레아스타2023-11-03 09:45:04U2022-11-01 00:05:00.0<NA>198731.246361451962.636141<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843000000CDFF32410620230000012023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA>0234451213<NA><NA>서울특별시 종로구 종로*가 ** 르메이에르종로타운*서울특별시 종로구 종로 **, 르메이에르종로타운* 에이동 **층 ****호 (종로*가)3157주식회사 브릴리언트미디어2023-05-11 13:02:04I2022-12-04 23:03:00.0<NA>198150.300374452019.212643<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853000000CDFF32410620230000032023-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 사직동 ***-**서울특별시 종로구 사직로 **-** (사직동)3028공간 아우라2023-09-06 11:39:27I2022-12-09 00:08:00.0<NA>196820.70332452357.689929<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863000000CDFF32410620230000042023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 부암동 ***-**서울특별시 종로구 자하문로**길 **-** (부암동)3020써드에프엑스(3rd FX)2023-12-08 10:31:34I2022-11-01 23:00:00.0<NA>196848.012175454828.188508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873000000CDFF32410620240000012021-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6269-0102<NA><NA>서울특별시 종로구 중학동 ** 트윈 트리 빌딩서울특별시 종로구 율곡로 *, 트윈 트리 빌딩 에이동 **층 에프호, 지호 (중학동)3142샤이닝랩 주식회사2024-01-15 14:10:19I2023-11-30 23:07:00.0<NA>198176.15924452574.671514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883000000CDFF32410620240000022012-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA>025543876<NA><NA>서울특별시 종로구 청진동 *-* 청일빌딩서울특별시 종로구 종로*길 **-*, 청일빌딩 ***-A호 (청진동)3158(주)코럴브릿지2024-04-12 11:01:41I2023-12-03 23:04:00.0<NA>198208.386454452193.293825<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>