Overview

Dataset statistics

Number of variables56
Number of observations60
Missing cells1686
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.6 KiB
Average record size in memory488.2 B

Variable types

Categorical16
Text5
DateTime4
Unsupported27
Numeric4

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17274/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (62.4%)Imbalance
데이터갱신구분 is highly imbalanced (71.4%)Imbalance
문화체육업종명 is highly imbalanced (87.8%)Imbalance
지상층수 is highly imbalanced (52.2%)Imbalance
지역구분명 is highly imbalanced (60.3%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 5 (8.3%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
전화번호 has 8 (13.3%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 13 (21.7%) missing valuesMissing
도로명주소 has 9 (15.0%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.3%) missing valuesMissing
좌표정보(Y) has 2 (3.3%) missing valuesMissing
제작취급품목내용 has 60 (100.0%) missing valuesMissing
시설면적 has 27 (45.0%) missing valuesMissing
통로너비 has 60 (100.0%) missing valuesMissing
조명시설조도 has 60 (100.0%) missing valuesMissing
노래방실수 has 60 (100.0%) missing valuesMissing
청소년실수 has 60 (100.0%) missing valuesMissing
비상계단여부 has 60 (100.0%) missing valuesMissing
비상구여부 has 60 (100.0%) missing valuesMissing
자동환기여부 has 60 (100.0%) missing valuesMissing
청소년실여부 has 60 (100.0%) missing valuesMissing
특수조명여부 has 60 (100.0%) missing valuesMissing
방음시설여부 has 60 (100.0%) missing valuesMissing
조명시설유무 has 60 (100.0%) missing valuesMissing
음향시설여부 has 60 (100.0%) missing valuesMissing
편의시설여부 has 60 (100.0%) missing valuesMissing
소방시설여부 has 60 (100.0%) missing valuesMissing
총게임기수 has 60 (100.0%) missing valuesMissing
기존게임업외업종명 has 60 (100.0%) missing valuesMissing
제공게임물명 has 60 (100.0%) missing valuesMissing
공연장형태구분명 has 60 (100.0%) missing valuesMissing
품목명 has 60 (100.0%) missing valuesMissing
최초등록시점 has 60 (100.0%) missing valuesMissing
관리번호 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 27 (45.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:14:03.960076
Analysis finished2024-04-29 19:14:04.736981
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3070000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 60
100.0%

Length

2024-04-30T04:14:04.797826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:04.869879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 60
100.0%

관리번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:14:05.028342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.7%
cdff1242011996000002 1
 
1.7%
cdff1242012002000002 1
 
1.7%
cdff1242012000000004 1
 
1.7%
cdff1242012001000001 1
 
1.7%
cdff1242012001000002 1
 
1.7%
cdff1242012001000003 1
 
1.7%
cdff1242012001000004 1
 
1.7%
cdff1242012001000005 1
 
1.7%
cdff1242012001000006 1
 
1.7%
Other values (50) 50
83.3%
2024-04-30T04:14:05.324053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 411
34.2%
1 184
15.3%
2 177
14.8%
F 120
 
10.0%
4 67
 
5.6%
9 62
 
5.2%
C 60
 
5.0%
D 60
 
5.0%
6 27
 
2.2%
3 11
 
0.9%
Other values (3) 21
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 411
42.8%
1 184
19.2%
2 177
18.4%
4 67
 
7.0%
9 62
 
6.5%
6 27
 
2.8%
3 11
 
1.1%
7 9
 
0.9%
5 7
 
0.7%
8 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 411
42.8%
1 184
19.2%
2 177
18.4%
4 67
 
7.0%
9 62
 
6.5%
6 27
 
2.8%
3 11
 
1.1%
7 9
 
0.9%
5 7
 
0.7%
8 5
 
0.5%
Latin
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 411
34.2%
1 184
15.3%
2 177
14.8%
F 120
 
10.0%
4 67
 
5.6%
9 62
 
5.2%
C 60
 
5.0%
D 60
 
5.0%
6 27
 
2.2%
3 11
 
0.9%
Other values (3) 21
 
1.8%

인허가일자
Date

Distinct45
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1996-09-06 00:00:00
Maximum2007-09-18 00:00:00
2024-04-30T04:14:05.448372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:05.569540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
50 
4
 
5
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 50
83.3%
4 5
 
8.3%
1 5
 
8.3%

Length

2024-04-30T04:14:05.677895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:05.762618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 50
83.3%
4 5
 
8.3%
1 5
 
8.3%

영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
50 
취소/말소/만료/정지/중지
 
5
영업/정상
 
5

Length

Max length14
Median length2
Mean length3.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 50
83.3%
취소/말소/만료/정지/중지 5
 
8.3%
영업/정상 5
 
8.3%

Length

2024-04-30T04:14:05.877604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:05.968746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 50
83.3%
취소/말소/만료/정지/중지 5
 
8.3%
영업/정상 5
 
8.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
50 
35
 
5
13
 
5

Length

Max length2
Median length1
Mean length1.1666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row35
5th row35

Common Values

ValueCountFrequency (%)
3 50
83.3%
35 5
 
8.3%
13 5
 
8.3%

Length

2024-04-30T04:14:06.061296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:06.142304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 50
83.3%
35 5
 
8.3%
13 5
 
8.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
50 
직권말소
 
5
영업중
 
5

Length

Max length4
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 50
83.3%
직권말소 5
 
8.3%
영업중 5
 
8.3%

Length

2024-04-30T04:14:06.236881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:06.336029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 50
83.3%
직권말소 5
 
8.3%
영업중 5
 
8.3%

폐업일자
Date

MISSING 

Distinct48
Distinct (%)87.3%
Missing5
Missing (%)8.3%
Memory size612.0 B
Minimum1998-11-27 00:00:00
Maximum2023-06-15 00:00:00
2024-04-30T04:14:06.425288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:06.562948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing8
Missing (%)13.3%
Memory size612.0 B
2024-04-30T04:14:06.783311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0769231
Min length8

Characters and Unicode

Total characters420
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

Unique52 ?
Unique (%)100.0%

Sample

1st row925-2547
2nd row379-0296
3rd row995-3979
4th row928-3718
5th row941-7133
ValueCountFrequency (%)
912-3603 1
 
1.9%
3673-0994 1
 
1.9%
941-3604 1
 
1.9%
3672-5538 1
 
1.9%
929-7115 1
 
1.9%
592-9544 1
 
1.9%
942-0426 1
 
1.9%
900-0563 1
 
1.9%
929-0088 1
 
1.9%
927-3144 1
 
1.9%
Other values (42) 42
80.8%
2024-04-30T04:14:07.105183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 76
18.1%
2 53
12.6%
- 52
12.4%
6 36
8.6%
1 34
8.1%
4 33
7.9%
7 32
7.6%
3 29
 
6.9%
0 27
 
6.4%
8 25
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
87.6%
Dash Punctuation 52
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 76
20.7%
2 53
14.4%
6 36
9.8%
1 34
9.2%
4 33
9.0%
7 32
8.7%
3 29
 
7.9%
0 27
 
7.3%
8 25
 
6.8%
5 23
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 76
18.1%
2 53
12.6%
- 52
12.4%
6 36
8.6%
1 34
8.1%
4 33
7.9%
7 32
7.6%
3 29
 
6.9%
0 27
 
6.4%
8 25
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 76
18.1%
2 53
12.6%
- 52
12.4%
6 36
8.6%
1 34
8.1%
4 33
7.9%
7 32
7.6%
3 29
 
6.9%
0 27
 
6.4%
8 25
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)38.3%
Missing13
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean136259.21
Minimum136032
Maximum136865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:14:07.213737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136032
5-th percentile136032
Q1136051
median136075
Q3136470
95-th percentile136862.9
Maximum136865
Range833
Interquartile range (IQR)419

Descriptive statistics

Standard deviation345.16448
Coefficient of variation (CV)0.002533146
Kurtosis-0.67672214
Mean136259.21
Median Absolute Deviation (MAD)24
Skewness1.1547843
Sum6404183
Variance119138.52
MonotonicityNot monotonic
2024-04-30T04:14:07.303061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
136075 13
21.7%
136051 13
21.7%
136032 4
 
6.7%
136865 3
 
5.0%
136856 1
 
1.7%
136849 1
 
1.7%
136817 1
 
1.7%
136846 1
 
1.7%
136140 1
 
1.7%
136042 1
 
1.7%
Other values (8) 8
13.3%
(Missing) 13
21.7%
ValueCountFrequency (%)
136032 4
 
6.7%
136035 1
 
1.7%
136042 1
 
1.7%
136051 13
21.7%
136052 1
 
1.7%
136053 1
 
1.7%
136075 13
21.7%
136140 1
 
1.7%
136800 1
 
1.7%
136802 1
 
1.7%
ValueCountFrequency (%)
136865 3
5.0%
136858 1
 
1.7%
136856 1
 
1.7%
136854 1
 
1.7%
136849 1
 
1.7%
136846 1
 
1.7%
136818 1
 
1.7%
136817 1
 
1.7%
136802 1
 
1.7%
136800 1
 
1.7%

지번주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:14:07.510395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length24.25
Min length18

Characters and Unicode

Total characters1455
Distinct characters47
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

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 성북구 동선동2가 306번지
2nd row서울특별시 성북구 길음동 541-82번지
3rd row서울특별시 성북구 안암동5가 102-60번지
4th row서울특별시 성북구 안암동5가 102-36번지
5th row서울특별시 성북구 정릉동 854-2번지
ValueCountFrequency (%)
서울특별시 60
23.5%
성북구 60
23.5%
동선동1가 19
 
7.5%
안암동5가 17
 
6.7%
석관동 4
 
1.6%
정릉동 4
 
1.6%
동소문동2가 4
 
1.6%
3층 3
 
1.2%
하월곡동 3
 
1.2%
길음동 2
 
0.8%
Other values (75) 79
31.0%
2024-04-30T04:14:07.829799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
17.3%
동 89
 
6.1%
1 64
 
4.4%
서 60
 
4.1%
특 60
 
4.1%
별 60
 
4.1%
시 60
 
4.1%
성 60
 
4.1%
북 60
 
4.1%
구 60
 
4.1%
Other values (37) 630
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
58.5%
Decimal Number 301
 
20.7%
Space Separator 252
 
17.3%
Dash Punctuation 50
 
3.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 89
10.5%
서 60
 
7.1%
특 60
 
7.1%
별 60
 
7.1%
시 60
 
7.1%
성 60
 
7.1%
북 60
 
7.1%
구 60
 
7.1%
지 60
 
7.1%
울 60
 
7.1%
Other values (24) 222
26.1%
Decimal Number
ValueCountFrequency (%)
1 64
21.3%
5 47
15.6%
2 44
14.6%
3 35
11.6%
0 33
11.0%
8 19
 
6.3%
6 18
 
6.0%
9 14
 
4.7%
4 14
 
4.7%
7 13
 
4.3%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
58.5%
Common 604
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 89
10.5%
서 60
 
7.1%
특 60
 
7.1%
별 60
 
7.1%
시 60
 
7.1%
성 60
 
7.1%
북 60
 
7.1%
구 60
 
7.1%
지 60
 
7.1%
울 60
 
7.1%
Other values (24) 222
26.1%
Common
ValueCountFrequency (%)
252
41.7%
1 64
 
10.6%
- 50
 
8.3%
5 47
 
7.8%
2 44
 
7.3%
3 35
 
5.8%
0 33
 
5.5%
8 19
 
3.1%
6 18
 
3.0%
9 14
 
2.3%
Other values (3) 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
58.5%
ASCII 604
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
41.7%
1 64
 
10.6%
- 50
 
8.3%
5 47
 
7.8%
2 44
 
7.3%
3 35
 
5.8%
0 33
 
5.5%
8 19
 
3.1%
6 18
 
3.0%
9 14
 
2.3%
Other values (3) 28
 
4.6%
Hangul
ValueCountFrequency (%)
동 89
10.5%
서 60
 
7.1%
특 60
 
7.1%
별 60
 
7.1%
시 60
 
7.1%
성 60
 
7.1%
북 60
 
7.1%
구 60
 
7.1%
지 60
 
7.1%
울 60
 
7.1%
Other values (24) 222
26.1%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing9
Missing (%)15.0%
Memory size612.0 B
2024-04-30T04:14:08.048176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length28.294118
Min length23

Characters and Unicode

Total characters1443
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row서울특별시 성북구 보문로34길 98 (동선동2가)
2nd row서울특별시 성북구 동소문로 239 (길음동)
3rd row서울특별시 성북구 인촌로24길 31 (안암동5가)
4th row서울특별시 성북구 인촌로24길 44 (안암동5가)
5th row서울특별시 성북구 정릉로9길 56 (정릉동)
ValueCountFrequency (%)
서울특별시 51
19.7%
성북구 51
19.7%
안암동5가 16
 
6.2%
동선동1가 14
 
5.4%
인촌로24길 13
 
5.0%
동소문로20길 8
 
3.1%
동소문로 5
 
1.9%
석관동 4
 
1.5%
정릉동 3
 
1.2%
동소문동2가 3
 
1.2%
Other values (73) 91
35.1%
2024-04-30T04:14:08.381442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
17.2%
동 95
 
6.6%
2 61
 
4.2%
서 52
 
3.6%
시 51
 
3.5%
별 51
 
3.5%
성 51
 
3.5%
북 51
 
3.5%
구 51
 
3.5%
특 51
 
3.5%
Other values (54) 681
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
57.7%
Space Separator 248
 
17.2%
Decimal Number 247
 
17.1%
Open Punctuation 51
 
3.5%
Close Punctuation 51
 
3.5%
Dash Punctuation 9
 
0.6%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 95
 
11.4%
서 52
 
6.2%
시 51
 
6.1%
별 51
 
6.1%
성 51
 
6.1%
북 51
 
6.1%
구 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
로 49
 
5.9%
Other values (39) 280
33.6%
Decimal Number
ValueCountFrequency (%)
2 61
24.7%
1 44
17.8%
4 33
13.4%
5 31
12.6%
0 21
 
8.5%
3 19
 
7.7%
6 13
 
5.3%
9 10
 
4.0%
8 9
 
3.6%
7 6
 
2.4%
Space Separator
ValueCountFrequency (%)
248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
57.7%
Common 610
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 95
 
11.4%
서 52
 
6.2%
시 51
 
6.1%
별 51
 
6.1%
성 51
 
6.1%
북 51
 
6.1%
구 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
로 49
 
5.9%
Other values (39) 280
33.6%
Common
ValueCountFrequency (%)
248
40.7%
2 61
 
10.0%
( 51
 
8.4%
) 51
 
8.4%
1 44
 
7.2%
4 33
 
5.4%
5 31
 
5.1%
0 21
 
3.4%
3 19
 
3.1%
6 13
 
2.1%
Other values (5) 38
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
57.7%
ASCII 610
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
40.7%
2 61
 
10.0%
( 51
 
8.4%
) 51
 
8.4%
1 44
 
7.2%
4 33
 
5.4%
5 31
 
5.1%
0 21
 
3.4%
3 19
 
3.1%
6 13
 
2.1%
Other values (5) 38
 
6.2%
Hangul
ValueCountFrequency (%)
동 95
 
11.4%
서 52
 
6.2%
시 51
 
6.1%
별 51
 
6.1%
성 51
 
6.1%
북 51
 
6.1%
구 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
로 49
 
5.9%
Other values (39) 280
33.6%

도로명우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
51 
2845
 
4
2855
 
3
136051
 
1
2781
 
1

Length

Max length6
Median length4
Mean length4.0333333
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
85.0%
2845 4
 
6.7%
2855 3
 
5.0%
136051 1
 
1.7%
2781 1
 
1.7%

Length

2024-04-30T04:14:08.500635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:08.596692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
85.0%
2845 4
 
6.7%
2855 3
 
5.0%
136051 1
 
1.7%
2781 1
 
1.7%

사업장명
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-04-30T04:14:08.768682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.8333333
Min length1

Characters and Unicode

Total characters410
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row토탈비디오방
2nd row도레미비디오감상실
3rd row폭스 비디오방
4th row씨네마천국2
5th row씨네21 비디오방
ValueCountFrequency (%)
비디오방 14
 
15.2%
dvd 5
 
5.4%
감상실 4
 
4.3%
비디오감상실 3
 
3.3%
캠퍼스 2
 
2.2%
시네마천국 2
 
2.2%
준 2
 
2.2%
스타맥스 1
 
1.1%
q 1
 
1.1%
일번지게임천국 1
 
1.1%
Other values (57) 57
62.0%
2024-04-30T04:14:09.084758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
7.8%
디 31
 
7.6%
오 29
 
7.1%
비 28
 
6.8%
D 21
 
5.1%
방 20
 
4.9%
스 15
 
3.7%
상 13
 
3.2%
감 12
 
2.9%
실 12
 
2.9%
Other values (112) 197
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
78.3%
Uppercase Letter 48
 
11.7%
Space Separator 32
 
7.8%
Decimal Number 6
 
1.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 31
 
9.7%
오 29
 
9.0%
비 28
 
8.7%
방 20
 
6.2%
스 15
 
4.7%
상 13
 
4.0%
감 12
 
3.7%
실 12
 
3.7%
네 11
 
3.4%
마 9
 
2.8%
Other values (86) 141
43.9%
Uppercase Letter
ValueCountFrequency (%)
D 21
43.8%
V 10
20.8%
O 2
 
4.2%
U 1
 
2.1%
B 1
 
2.1%
Z 1
 
2.1%
X 1
 
2.1%
A 1
 
2.1%
M 1
 
2.1%
H 1
 
2.1%
Other values (8) 8
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
7 1
 
16.7%
1 1
 
16.7%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
78.3%
Latin 48
 
11.7%
Common 41
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 31
 
9.7%
오 29
 
9.0%
비 28
 
8.7%
방 20
 
6.2%
스 15
 
4.7%
상 13
 
4.0%
감 12
 
3.7%
실 12
 
3.7%
네 11
 
3.4%
마 9
 
2.8%
Other values (86) 141
43.9%
Latin
ValueCountFrequency (%)
D 21
43.8%
V 10
20.8%
O 2
 
4.2%
U 1
 
2.1%
B 1
 
2.1%
Z 1
 
2.1%
X 1
 
2.1%
A 1
 
2.1%
M 1
 
2.1%
H 1
 
2.1%
Other values (8) 8
 
16.7%
Common
ValueCountFrequency (%)
32
78.0%
2 3
 
7.3%
) 1
 
2.4%
7 1
 
2.4%
( 1
 
2.4%
1 1
 
2.4%
. 1
 
2.4%
5 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
78.3%
ASCII 89
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
36.0%
D 21
23.6%
V 10
 
11.2%
2 3
 
3.4%
O 2
 
2.2%
) 1
 
1.1%
U 1
 
1.1%
B 1
 
1.1%
7 1
 
1.1%
( 1
 
1.1%
Other values (16) 16
18.0%
Hangul
ValueCountFrequency (%)
디 31
 
9.7%
오 29
 
9.0%
비 28
 
8.7%
방 20
 
6.2%
스 15
 
4.7%
상 13
 
4.0%
감 12
 
3.7%
실 12
 
3.7%
네 11
 
3.4%
마 9
 
2.8%
Other values (86) 141
43.9%

최종수정일자
Date

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2003-04-18 14:23:41
Maximum2023-06-15 19:54:01
2024-04-30T04:14:09.212027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:09.328311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
57 
U
 
3

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 57
95.0%
U 3
 
5.0%

Length

2024-04-30T04:14:09.440534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:09.528491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 57
95.0%
u 3
 
5.0%

데이터갱신일자
Date

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-05 23:07:00
2024-04-30T04:14:09.603087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:09.714623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean202134.72
Minimum199469.85
Maximum205719.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:14:09.816716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199469.85
5-th percentile200643.32
Q1201471.33
median201742.29
Q3202538.06
95-th percentile205159.93
Maximum205719.52
Range6249.6664
Interquartile range (IQR)1066.7334

Descriptive statistics

Standard deviation1220.1171
Coefficient of variation (CV)0.006036158
Kurtosis2.2180829
Mean202134.72
Median Absolute Deviation (MAD)768.94569
Skewness1.1090758
Sum11723814
Variance1488685.8
MonotonicityNot monotonic
2024-04-30T04:14:09.932972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202953.827639575 2
 
3.3%
202531.312023407 2
 
3.3%
205288.239440116 1
 
1.7%
201274.994791455 1
 
1.7%
205719.515435545 1
 
1.7%
201457.368237316 1
 
1.7%
202540.314366732 1
 
1.7%
201447.596116229 1
 
1.7%
201470.939901027 1
 
1.7%
205638.858277791 1
 
1.7%
Other values (46) 46
76.7%
(Missing) 2
 
3.3%
ValueCountFrequency (%)
199469.849018432 1
1.7%
199879.503541974 1
1.7%
200582.429312167 1
1.7%
200654.062119478 1
1.7%
200706.925859114 1
1.7%
200893.566038091 1
1.7%
201274.994791455 1
1.7%
201394.190002417 1
1.7%
201403.150900175 1
1.7%
201431.198823117 1
1.7%
ValueCountFrequency (%)
205719.515435545 1
1.7%
205638.858277791 1
1.7%
205288.239440116 1
1.7%
205137.290183608 1
1.7%
203956.564905677 1
1.7%
203649.146716037 1
1.7%
202953.827639575 2
3.3%
202906.615537482 1
1.7%
202573.517224196 1
1.7%
202570.932706541 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean454590.78
Minimum453467.58
Maximum457447.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:14:10.056551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453467.58
5-th percentile453523.25
Q1453752.98
median454341.52
Q3454513.19
95-th percentile456619.56
Maximum457447.68
Range3980.0996
Interquartile range (IQR)760.21893

Descriptive statistics

Standard deviation1035.5282
Coefficient of variation (CV)0.0022779349
Kurtosis0.22179585
Mean454590.78
Median Absolute Deviation (MAD)558.58212
Skewness1.1382509
Sum26366265
Variance1072318.7
MonotonicityNot monotonic
2024-04-30T04:14:10.363889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455645.163498645 2
 
3.3%
453842.857227736 2
 
3.3%
456677.726693477 1
 
1.7%
456210.84540913 1
 
1.7%
456523.748479359 1
 
1.7%
454406.547727267 1
 
1.7%
453625.734726913 1
 
1.7%
454442.573239504 1
 
1.7%
454332.679264838 1
 
1.7%
456724.777657965 1
 
1.7%
Other values (46) 46
76.7%
(Missing) 2
 
3.3%
ValueCountFrequency (%)
453467.580338423 1
1.7%
453504.175537535 1
1.7%
453517.966994193 1
1.7%
453524.184473138 1
1.7%
453544.429632757 1
1.7%
453570.831259364 1
1.7%
453612.148581373 1
1.7%
453612.682699831 1
1.7%
453625.734726913 1
1.7%
453631.544050175 1
1.7%
ValueCountFrequency (%)
457447.679938585 1
1.7%
456724.777657965 1
1.7%
456677.726693477 1
1.7%
456609.292032167 1
1.7%
456523.748479359 1
1.7%
456513.315428145 1
1.7%
456431.557621216 1
1.7%
456325.215592871 1
1.7%
456210.84540913 1
1.7%
455727.090308026 1
1.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
비디오물감상실업
59 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9333333
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 59
98.3%
<NA> 1
 
1.7%

Length

2024-04-30T04:14:10.498045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:10.590925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 59
98.3%
na 1
 
1.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
유통관련업
46 
<NA>
14 

Length

Max length5
Median length5
Mean length4.7666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 46
76.7%
<NA> 14
 
23.3%

Length

2024-04-30T04:14:10.686245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:10.768206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 46
76.7%
na 14
 
23.3%

총층수
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
45 
0
11 
5
 
2
6
 
2

Length

Max length4
Median length4
Mean length3.25
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> 45
75.0%
0 11
 
18.3%
5 2
 
3.3%
6 2
 
3.3%

Length

2024-04-30T04:14:10.852616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:10.944727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
75.0%
0 11
 
18.3%
5 2
 
3.3%
6 2
 
3.3%

주변환경명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
46 
기타
9 
유흥업소밀집지역
 
3
주택가주변
 
2

Length

Max length8
Median length4
Mean length3.9333333
Min length2

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> 46
76.7%
기타 9
 
15.0%
유흥업소밀집지역 3
 
5.0%
주택가주변 2
 
3.3%

Length

2024-04-30T04:14:11.064560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:11.160920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
76.7%
기타 9
 
15.0%
유흥업소밀집지역 3
 
5.0%
주택가주변 2
 
3.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)21.2%
Missing27
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean32.623636
Minimum0
Maximum333
Zeros27
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-04-30T04:14:11.255883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile194.214
Maximum333
Range333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79.230975
Coefficient of variation (CV)2.4286371
Kurtosis6.9413633
Mean32.623636
Median Absolute Deviation (MAD)0
Skewness2.6614769
Sum1076.58
Variance6277.5474
MonotonicityNot monotonic
2024-04-30T04:14:11.340739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 27
45.0%
91.0 1
 
1.7%
333.0 1
 
1.7%
124.65 1
 
1.7%
121.68 1
 
1.7%
158.57 1
 
1.7%
247.68 1
 
1.7%
(Missing) 27
45.0%
ValueCountFrequency (%)
0.0 27
45.0%
91.0 1
 
1.7%
121.68 1
 
1.7%
124.65 1
 
1.7%
158.57 1
 
1.7%
247.68 1
 
1.7%
333.0 1
 
1.7%
ValueCountFrequency (%)
333.0 1
 
1.7%
247.68 1
 
1.7%
158.57 1
 
1.7%
124.65 1
 
1.7%
121.68 1
 
1.7%
91.0 1
 
1.7%
0.0 27
45.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
44 
0
11 
5
 
2
7
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.2
Min length1

Unique

Unique3 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
73.3%
0 11
 
18.3%
5 2
 
3.3%
7 1
 
1.7%
4 1
 
1.7%
3 1
 
1.7%

Length

2024-04-30T04:14:11.444420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:11.536650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
73.3%
0 11
 
18.3%
5 2
 
3.3%
7 1
 
1.7%
4 1
 
1.7%
3 1
 
1.7%

지하층수
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
46 
0
11 
1
 
3

Length

Max length4
Median length4
Mean length3.3
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> 46
76.7%
0 11
 
18.3%
1 3
 
5.0%

Length

2024-04-30T04:14:11.648414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:11.744969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
76.7%
0 11
 
18.3%
1 3
 
5.0%

건물용도명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
36 
근린생활시설
24 

Length

Max length6
Median length4
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
60.0%
근린생활시설 24
40.0%

Length

2024-04-30T04:14:11.851809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:11.954111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
60.0%
근린생활시설 24
40.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
32 
자동
28 

Length

Max length4
Median length4
Mean length3.0666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
53.3%
자동 28
46.7%

Length

2024-04-30T04:14:12.047776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:12.139972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
53.3%
자동 28
46.7%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
51 
근린상업지역
6 
일반주거지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.2666667
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
85.0%
근린상업지역 6
 
10.0%
일반주거지역 2
 
3.3%
상업지역 1
 
1.7%

Length

2024-04-30T04:14:12.247717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:12.348700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
85.0%
근린상업지역 6
 
10.0%
일반주거지역 2
 
3.3%
상업지역 1
 
1.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF124201199600000119960906<NA>3폐업3폐업19990630<NA><NA><NA>925-2547<NA>136052서울특별시 성북구 동선동2가 306번지서울특별시 성북구 보문로34길 98 (동선동2가)<NA>토탈비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>201756.50308454323.239452비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFF124201199600000219960906<NA>3폐업3폐업20040629<NA><NA><NA>379-0296<NA>136802서울특별시 성북구 길음동 541-82번지서울특별시 성북구 동소문로 239 (길음동)<NA>도레미비디오감상실2004-11-10 08:44:30I2018-08-31 23:59:59.0<NA>201976.85377455659.420384비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF124201199600000319960907<NA>3폐업3폐업20000925<NA><NA><NA>995-3979<NA>136075서울특별시 성북구 안암동5가 102-60번지서울특별시 성북구 인촌로24길 31 (안암동5가)<NA>폭스 비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>202541.023225453612.148581비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000CDFF124201199600000419960907<NA>4취소/말소/만료/정지/중지35직권말소20071023<NA><NA><NA>928-3718<NA>136075서울특별시 성북구 안암동5가 102-36번지서울특별시 성북구 인촌로24길 44 (안암동5가)<NA>씨네마천국22008-10-14 18:27:48I2018-08-31 23:59:59.0<NA>202515.277465453544.429633비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF124201199600000519960907<NA>4취소/말소/만료/정지/중지35직권말소20071023<NA><NA><NA>941-7133<NA>136854서울특별시 성북구 정릉동 854-2번지서울특별시 성북구 정릉로9길 56 (정릉동)<NA>씨네21 비디오방2008-10-14 18:28:30I2018-08-31 23:59:59.0<NA>199879.503542456513.315428비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFF124201199600000719960909<NA>3폐업3폐업20020129<NA><NA><NA>927-2435<NA>136035서울특별시 성북구 동소문동5가 107번지서울특별시 성북구 동소문로20길 28-4 (동소문동5가)<NA>뚱보 비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>201394.190002454340.58381비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF124201199600000819960909<NA>3폐업3폐업20000329<NA><NA><NA>926-1682<NA>136051서울특별시 성북구 동선동1가 30번지서울특별시 성북구 동소문로20길 29-18 (동선동1가)<NA>캠퍼스 비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>201495.202603454342.453099비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFF124201199600000919960909<NA>3폐업3폐업20020611<NA><NA><NA>918-7053<NA>136051서울특별시 성북구 동선동1가 85-79번지 2<NA><NA>톰과제리비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>201526.014323454444.272777비디오물감상실업유통관련업0유흥업소밀집지역<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF124201199600001019960910<NA>3폐업3폐업19981127<NA><NA><NA>929-9580<NA>136075서울특별시 성북구 안암동5가 104-120번지서울특별시 성북구 인촌로24길 52 (안암동5가)<NA>안암 비디오방2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>202519.12912453504.175538비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFF124201199600001119960910<NA>1영업/정상13영업중<NA><NA><NA><NA>926-1596<NA><NA>서울특별시 성북구 안암동5가 102-64번지서울특별시 성북구 인촌로24길 14 (안암동5가)2855씨넥스 DVD2015-05-06 17:26:10I2018-08-31 23:59:59.0<NA>202509.17781453705.835219비디오물감상실업<NA><NA>기타<NA>0.0<NA><NA>근린생활시설<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
503070000CDFF124201200200000820021016<NA>4취소/말소/만료/정지/중지35직권말소20071023<NA><NA><NA>921-6739<NA>136051서울특별시 성북구 동선동1가 49-0번지 6층서울특별시 성북구 보문로34길 43 (동선동1가,6층)<NA>디지탈헐리우드2008-10-14 18:30:12I2018-08-31 23:59:59.0<NA>201491.687838454279.602049비디오물감상실업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
513070000CDFF124201200200000920021024<NA>3폐업3폐업20070221<NA><NA><NA>926-8576<NA><NA>서울특별시 성북구 동선동1가 15-0번지서울특별시 성북구 동소문로20길 37-13 (동선동1가)<NA>벅스 DVD2011-07-11 19:02:31I2018-08-31 23:59:59.0<NA>201478.26463454317.201732비디오물감상실업<NA>0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
523070000CDFF124201200200001020021101<NA>3폐업3폐업20060518<NA><NA><NA>909-4047<NA>136865서울특별시 성북구 하월곡동 67-56번지<NA><NA>헐리우드비디오감상실2006-11-01 11:39:43I2018-08-31 23:59:59.0<NA>202953.82764455645.163499비디오물감상실업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
533070000CDFF124201200200001120021107<NA>3폐업3폐업20070115<NA><NA><NA>929-6962<NA>136075서울특별시 성북구 안암동5가 102-77번지서울특별시 성북구 인촌로24길 8 (안암동5가)<NA>마기클럽 고대점2007-06-19 13:56:01I2018-08-31 23:59:59.0<NA>202508.471814453723.01544비디오물감상실업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
543070000CDFF124201200300000120030618<NA>3폐업3폐업20090122<NA><NA><NA>3494-5070<NA>136075서울특별시 성북구 안암동5가 101-29번지서울특별시 성북구 개운사길 12 (안암동5가)<NA>디지털DVD감상실2009-01-22 18:01:58I2018-08-31 23:59:59.0<NA>202531.312023453842.857228비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553070000CDFF124201200300000220030726<NA>3폐업3폐업20111011<NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 104-30번지 3층서울특별시 성북구 인촌로24길 51 (안암동5가,3층)<NA>MAX DVD 영화관2011-10-11 13:56:03I2018-08-31 23:59:59.0<NA>202556.27545453517.966994비디오물감상실업<NA><NA><NA><NA>333.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563070000CDFF124201200300000320031105<NA>3폐업3폐업20120517<NA><NA><NA>926-2991<NA>136075서울특별시 성북구 안암동5가 102-66번지서울특별시 성북구 인촌로24길 16 (안암동5가)<NA>벅스DVD2012-05-17 14:41:36I2018-08-31 23:59:59.0<NA>202509.864598453689.853889비디오물감상실업유통관련업5유흥업소밀집지역<NA>124.655<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
573070000CDFF124201200500000120050303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 3-3번지서울특별시 성북구 동소문로20나길 16 (동선동1가)2845스타 시네마비디오 감상실2015-12-14 16:56:05I2018-08-31 23:59:59.0<NA>201472.501973454414.215157비디오물감상실업<NA>5유흥업소밀집지역<NA>121.6841근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
583070000CDFF124201200500000220050824<NA>1영업/정상13영업중<NA><NA><NA><NA>928-1474<NA><NA>서울특별시 성북구 안암동5가 102-86번지 3층서울특별시 성북구 인촌로24길 28 (안암동5가)2855W.DVD 감상실2014-12-08 11:28:23I2018-08-31 23:59:59.0<NA>202511.645973453631.54405비디오물감상실업<NA>6기타<NA>158.573<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
593070000CDFF124201200700000120070918<NA>3폐업3폐업20100708<NA><NA><NA>921-1414<NA>136051서울특별시 성북구 동선동1가 41번지서울특별시 성북구 동소문로20길 29-6 (동선동1가)<NA>씨네원 DVD2010-07-16 12:56:23I2018-08-31 23:59:59.0<NA>201443.279919454321.712355비디오물감상실업유통관련업6<NA><NA>247.6851근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>