Overview

Dataset statistics

Number of variables56
Number of observations79
Missing cells2188
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.9 KiB
Average record size in memory491.7 B

Variable types

Categorical17
Text6
DateTime4
Unsupported25
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17702/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (85.3%)Imbalance
총층수 is highly imbalanced (76.7%)Imbalance
시설면적 is highly imbalanced (76.7%)Imbalance
지상층수 is highly imbalanced (76.7%)Imbalance
지하층수 is highly imbalanced (76.7%)Imbalance
통로너비 is highly imbalanced (76.7%)Imbalance
조명시설조도 is highly imbalanced (76.7%)Imbalance
노래방실수 is highly imbalanced (76.7%)Imbalance
청소년실수 is highly imbalanced (76.7%)Imbalance
총게임기수 is highly imbalanced (76.7%)Imbalance
폐업일자 has 63 (79.7%) missing valuesMissing
휴업시작일자 has 79 (100.0%) missing valuesMissing
휴업종료일자 has 79 (100.0%) missing valuesMissing
재개업일자 has 79 (100.0%) missing valuesMissing
전화번호 has 26 (32.9%) missing valuesMissing
소재지면적 has 79 (100.0%) missing valuesMissing
소재지우편번호 has 64 (81.0%) missing valuesMissing
도로명주소 has 1 (1.3%) missing valuesMissing
도로명우편번호 has 32 (40.5%) missing valuesMissing
업태구분명 has 79 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.5%) missing valuesMissing
좌표정보(Y) has 2 (2.5%) missing valuesMissing
문화사업자구분명 has 79 (100.0%) missing valuesMissing
주변환경명 has 79 (100.0%) missing valuesMissing
제작취급품목내용 has 79 (100.0%) missing valuesMissing
건물용도명 has 79 (100.0%) missing valuesMissing
비상계단여부 has 79 (100.0%) missing valuesMissing
비상구여부 has 79 (100.0%) missing valuesMissing
자동환기여부 has 79 (100.0%) missing valuesMissing
청소년실여부 has 79 (100.0%) missing valuesMissing
특수조명여부 has 79 (100.0%) missing valuesMissing
방음시설여부 has 79 (100.0%) missing valuesMissing
비디오재생기명 has 79 (100.0%) missing valuesMissing
조명시설유무 has 79 (100.0%) missing valuesMissing
음향시설여부 has 79 (100.0%) missing valuesMissing
편의시설여부 has 79 (100.0%) missing valuesMissing
소방시설여부 has 79 (100.0%) missing valuesMissing
기존게임업외업종명 has 79 (100.0%) missing valuesMissing
제공게임물명 has 79 (100.0%) missing valuesMissing
공연장형태구분명 has 79 (100.0%) missing valuesMissing
품목명 has 79 (100.0%) missing valuesMissing
최초등록시점 has 23 (29.1%) missing valuesMissing
지역구분명 has 79 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:33:03.303459
Analysis finished2024-05-11 05:33:04.349647
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
3000000
79 

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 79
100.0%

Length

2024-05-11T14:33:04.448465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:04.604259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 79
100.0%

관리번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:33:04.915865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1580
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

Unique79 ?
Unique (%)100.0%

Sample

1st rowCDFF5211021986000001
2nd rowCDFF5211021987000001
3rd rowCDFF5211021988000001
4th rowCDFF5211021988000002
5th rowCDFF5211021999000001
ValueCountFrequency (%)
cdff5211021986000001 1
 
1.3%
cdff5211022020000001 1
 
1.3%
cdff5211022018000009 1
 
1.3%
cdff5211022018000008 1
 
1.3%
cdff5211022018000007 1
 
1.3%
cdff5211022018000005 1
 
1.3%
cdff5211022018000004 1
 
1.3%
cdff5211022018000003 1
 
1.3%
cdff5211022018000002 1
 
1.3%
cdff5211022017000001 1
 
1.3%
Other values (69) 69
87.3%
2024-05-11T14:33:05.366630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 574
36.3%
2 268
17.0%
1 226
 
14.3%
F 158
 
10.0%
5 90
 
5.7%
C 79
 
5.0%
D 79
 
5.0%
9 28
 
1.8%
3 24
 
1.5%
8 19
 
1.2%
Other values (3) 35
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1264
80.0%
Uppercase Letter 316
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 574
45.4%
2 268
21.2%
1 226
 
17.9%
5 90
 
7.1%
9 28
 
2.2%
3 24
 
1.9%
8 19
 
1.5%
4 17
 
1.3%
6 12
 
0.9%
7 6
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1264
80.0%
Latin 316
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 574
45.4%
2 268
21.2%
1 226
 
17.9%
5 90
 
7.1%
9 28
 
2.2%
3 24
 
1.9%
8 19
 
1.5%
4 17
 
1.3%
6 12
 
0.9%
7 6
 
0.5%
Latin
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 574
36.3%
2 268
17.0%
1 226
 
14.3%
F 158
 
10.0%
5 90
 
5.7%
C 79
 
5.0%
D 79
 
5.0%
9 28
 
1.8%
3 24
 
1.5%
8 19
 
1.2%
Other values (3) 35
 
2.2%

인허가일자
Date

Distinct75
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum1986-06-14 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T14:33:05.590670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:05.859647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
20230113
 
1
20150226
 
1
20141230
 
1

Length

Max length8
Median length4
Mean length4.1518987
Min length4

Unique

Unique3 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
96.2%
20230113 1
 
1.3%
20150226 1
 
1.3%
20141230 1
 
1.3%

Length

2024-05-11T14:33:06.132204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:06.309518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
20230113 1
 
1.3%
20150226 1
 
1.3%
20141230 1
 
1.3%

영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
1
60 
3
14 
4
 
3
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row5
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 60
75.9%
3 14
 
17.7%
4 3
 
3.8%
5 2
 
2.5%

Length

2024-05-11T14:33:06.458579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:06.620621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
75.9%
3 14
 
17.7%
4 3
 
3.8%
5 2
 
2.5%

영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업/정상
60 
폐업
14 
취소/말소/만료/정지/중지
 
3
제외/삭제/전출
 
2

Length

Max length14
Median length5
Mean length4.8860759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 60
75.9%
폐업 14
 
17.7%
취소/말소/만료/정지/중지 3
 
3.8%
제외/삭제/전출 2
 
2.5%

Length

2024-05-11T14:33:06.784507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:06.958477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 60
75.9%
폐업 14
 
17.7%
취소/말소/만료/정지/중지 3
 
3.8%
제외/삭제/전출 2
 
2.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
13
60 
3
14 
32
 
3
15
 
2

Length

Max length2
Median length2
Mean length1.8227848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row15
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 60
75.9%
3 14
 
17.7%
32 3
 
3.8%
15 2
 
2.5%

Length

2024-05-11T14:33:07.194248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:07.377569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 60
75.9%
3 14
 
17.7%
32 3
 
3.8%
15 2
 
2.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업중
60 
폐업
14 
신고취소
 
3
전출
 
2

Length

Max length4
Median length3
Mean length2.835443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 60
75.9%
폐업 14
 
17.7%
신고취소 3
 
3.8%
전출 2
 
2.5%

Length

2024-05-11T14:33:07.612325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:07.805805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 60
75.9%
폐업 14
 
17.7%
신고취소 3
 
3.8%
전출 2
 
2.5%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing63
Missing (%)79.7%
Memory size764.0 B
Minimum2010-01-25 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T14:33:07.982556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:08.174251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)94.3%
Missing26
Missing (%)32.9%
Memory size764.0 B
2024-05-11T14:33:08.474861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.8679245
Min length7

Characters and Unicode

Total characters523
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

Unique47 ?
Unique (%)88.7%

Sample

1st row394-5411
2nd row744-4013
3rd row02-736-8898
4th row766-3290
5th row732-1895
ValueCountFrequency (%)
732-1895 2
 
3.8%
02-736-8898 2
 
3.8%
744-4248 2
 
3.8%
02-2155-5145 1
 
1.9%
02-496-1383 1
 
1.9%
023372135 1
 
1.9%
02-747-2357 1
 
1.9%
394-5411 1
 
1.9%
02-458-8010 1
 
1.9%
070-8145-3200 1
 
1.9%
Other values (40) 40
75.5%
2024-05-11T14:33:09.203861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
14.0%
- 72
13.8%
7 68
13.0%
2 60
11.5%
3 54
10.3%
5 40
7.6%
8 38
7.3%
1 36
6.9%
4 35
6.7%
6 27
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
86.2%
Dash Punctuation 72
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
16.2%
7 68
15.1%
2 60
13.3%
3 54
12.0%
5 40
8.9%
8 38
8.4%
1 36
8.0%
4 35
7.8%
6 27
 
6.0%
9 20
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
14.0%
- 72
13.8%
7 68
13.0%
2 60
11.5%
3 54
10.3%
5 40
7.6%
8 38
7.3%
1 36
6.9%
4 35
6.7%
6 27
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
14.0%
- 72
13.8%
7 68
13.0%
2 60
11.5%
3 54
10.3%
5 40
7.6%
8 38
7.3%
1 36
6.9%
4 35
6.7%
6 27
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing64
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean110439.33
Minimum110040
Maximum110848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:33:09.433743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110040
5-th percentile110049.8
Q1110295
median110350
Q3110797.5
95-th percentile110817.2
Maximum110848
Range808
Interquartile range (IQR)502.5

Descriptive statistics

Standard deviation290.80422
Coefficient of variation (CV)0.0026331581
Kurtosis-1.3941594
Mean110439.33
Median Absolute Deviation (MAD)224
Skewness0.31481483
Sum1656590
Variance84567.095
MonotonicityNot monotonic
2024-05-11T14:33:09.654951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
110320 2
 
2.5%
110350 2
 
2.5%
110390 1
 
1.3%
110280 1
 
1.3%
110795 1
 
1.3%
110804 1
 
1.3%
110310 1
 
1.3%
110040 1
 
1.3%
110848 1
 
1.3%
110054 1
 
1.3%
Other values (3) 3
 
3.8%
(Missing) 64
81.0%
ValueCountFrequency (%)
110040 1
1.3%
110054 1
1.3%
110126 1
1.3%
110280 1
1.3%
110310 1
1.3%
110320 2
2.5%
110350 2
2.5%
110390 1
1.3%
110795 1
1.3%
110800 1
1.3%
ValueCountFrequency (%)
110848 1
1.3%
110804 1
1.3%
110803 1
1.3%
110800 1
1.3%
110795 1
1.3%
110390 1
1.3%
110350 2
2.5%
110320 2
2.5%
110310 1
1.3%
110280 1
1.3%

지번주소
Text

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:33:10.136524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length25.455696
Min length16

Characters and Unicode

Total characters2011
Distinct characters160
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

Unique63 ?
Unique (%)79.7%

Sample

1st row서울특별시 종로구 부암동 ***-*번지
2nd row서울특별시 종로구 낙원동 ***-*번지
3rd row서울특별시 종로구 청진동 128 Tower 8
4th row서울특별시 종로구 동숭동 *-*번지
5th row서울특별시 종로구 통의동 ** 화암빌딩 *층
ValueCountFrequency (%)
서울특별시 79
19.8%
종로구 79
19.8%
번지 47
11.8%
31
 
7.8%
층 13
 
3.3%
호 12
 
3.0%
낙원동 8
 
2.0%
통의동 6
 
1.5%
신문로*가 6
 
1.5%
명륜*가 5
 
1.3%
Other values (84) 113
28.3%
2024-05-11T14:33:10.901546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
18.3%
* 333
16.6%
로 91
 
4.5%
종 83
 
4.1%
구 83
 
4.1%
서 82
 
4.1%
시 80
 
4.0%
특 79
 
3.9%
별 79
 
3.9%
울 79
 
3.9%
Other values (150) 653
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1234
61.4%
Space Separator 369
 
18.3%
Other Punctuation 333
 
16.6%
Dash Punctuation 52
 
2.6%
Decimal Number 10
 
0.5%
Lowercase Letter 8
 
0.4%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 91
 
7.4%
종 83
 
6.7%
구 83
 
6.7%
서 82
 
6.6%
시 80
 
6.5%
특 79
 
6.4%
별 79
 
6.4%
울 79
 
6.4%
동 72
 
5.8%
지 53
 
4.3%
Other values (135) 453
36.7%
Decimal Number
ValueCountFrequency (%)
8 4
40.0%
1 3
30.0%
2 2
20.0%
9 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
25.0%
w 2
25.0%
e 2
25.0%
o 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
S 1
20.0%
B 1
20.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Other Punctuation
ValueCountFrequency (%)
* 333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1234
61.4%
Common 764
38.0%
Latin 13
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 91
 
7.4%
종 83
 
6.7%
구 83
 
6.7%
서 82
 
6.6%
시 80
 
6.5%
특 79
 
6.4%
별 79
 
6.4%
울 79
 
6.4%
동 72
 
5.8%
지 53
 
4.3%
Other values (135) 453
36.7%
Latin
ValueCountFrequency (%)
r 2
15.4%
w 2
15.4%
e 2
15.4%
o 2
15.4%
T 2
15.4%
S 1
7.7%
B 1
7.7%
A 1
7.7%
Common
ValueCountFrequency (%)
369
48.3%
* 333
43.6%
- 52
 
6.8%
8 4
 
0.5%
1 3
 
0.4%
2 2
 
0.3%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1234
61.4%
ASCII 777
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
47.5%
* 333
42.9%
- 52
 
6.7%
8 4
 
0.5%
1 3
 
0.4%
r 2
 
0.3%
w 2
 
0.3%
e 2
 
0.3%
2 2
 
0.3%
o 2
 
0.3%
Other values (5) 6
 
0.8%
Hangul
ValueCountFrequency (%)
로 91
 
7.4%
종 83
 
6.7%
구 83
 
6.7%
서 82
 
6.6%
시 80
 
6.5%
특 79
 
6.4%
별 79
 
6.4%
울 79
 
6.4%
동 72
 
5.8%
지 53
 
4.3%
Other values (135) 453
36.7%

도로명주소
Text

MISSING 

Distinct73
Distinct (%)93.6%
Missing1
Missing (%)1.3%
Memory size764.0 B
2024-05-11T14:33:11.355322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length33.948718
Min length22

Characters and Unicode

Total characters2648
Distinct characters182
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)88.5%

Sample

1st row서울특별시 종로구 삼일대로 *** (낙원동)
2nd row서울특별시 종로구 종로5길 7, Tower 8 15-16층 (청진동)
3rd row서울특별시 종로구 동숭길 *** (동숭동)
4th row서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)
5th row서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)
ValueCountFrequency (%)
서울특별시 78
15.3%
종로구 78
15.3%
77
15.1%
층 30
 
5.9%
호 25
 
4.9%
삼일대로 7
 
1.4%
낙원동 7
 
1.4%
자하문로 6
 
1.2%
신문로*가 5
 
1.0%
새문안로 4
 
0.8%
Other values (144) 192
37.7%
2024-05-11T14:33:12.330839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
17.1%
* 382
 
14.4%
로 158
 
6.0%
종 94
 
3.5%
구 82
 
3.1%
서 81
 
3.1%
시 79
 
3.0%
( 78
 
2.9%
특 78
 
2.9%
별 78
 
2.9%
Other values (172) 1085
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1525
57.6%
Other Punctuation 457
 
17.3%
Space Separator 453
 
17.1%
Open Punctuation 78
 
2.9%
Close Punctuation 78
 
2.9%
Decimal Number 23
 
0.9%
Dash Punctuation 19
 
0.7%
Lowercase Letter 8
 
0.3%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 158
 
10.4%
종 94
 
6.2%
구 82
 
5.4%
서 81
 
5.3%
시 79
 
5.2%
특 78
 
5.1%
별 78
 
5.1%
울 78
 
5.1%
동 76
 
5.0%
길 44
 
2.9%
Other values (151) 677
44.4%
Decimal Number
ValueCountFrequency (%)
1 9
39.1%
5 5
21.7%
6 3
 
13.0%
0 2
 
8.7%
7 2
 
8.7%
8 2
 
8.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
T 2
28.6%
A 1
14.3%
S 1
14.3%
E 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
w 2
25.0%
e 2
25.0%
r 2
25.0%
Other Punctuation
ValueCountFrequency (%)
* 382
83.6%
, 75
 
16.4%
Space Separator
ValueCountFrequency (%)
453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1525
57.6%
Common 1108
41.8%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 158
 
10.4%
종 94
 
6.2%
구 82
 
5.4%
서 81
 
5.3%
시 79
 
5.2%
특 78
 
5.1%
별 78
 
5.1%
울 78
 
5.1%
동 76
 
5.0%
길 44
 
2.9%
Other values (151) 677
44.4%
Common
ValueCountFrequency (%)
453
40.9%
* 382
34.5%
( 78
 
7.0%
) 78
 
7.0%
, 75
 
6.8%
- 19
 
1.7%
1 9
 
0.8%
5 5
 
0.5%
6 3
 
0.3%
0 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
B 2
13.3%
T 2
13.3%
o 2
13.3%
w 2
13.3%
e 2
13.3%
r 2
13.3%
A 1
6.7%
S 1
6.7%
E 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1525
57.6%
ASCII 1123
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
40.3%
* 382
34.0%
( 78
 
6.9%
) 78
 
6.9%
, 75
 
6.7%
- 19
 
1.7%
1 9
 
0.8%
5 5
 
0.4%
6 3
 
0.3%
0 2
 
0.2%
Other values (11) 19
 
1.7%
Hangul
ValueCountFrequency (%)
로 158
 
10.4%
종 94
 
6.2%
구 82
 
5.4%
서 81
 
5.3%
시 79
 
5.2%
특 78
 
5.1%
별 78
 
5.1%
울 78
 
5.1%
동 76
 
5.0%
길 44
 
2.9%
Other values (151) 677
44.4%

도로명우편번호
Text

MISSING 

Distinct40
Distinct (%)85.1%
Missing32
Missing (%)40.5%
Memory size764.0 B
2024-05-11T14:33:12.579693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1489362
Min length5

Characters and Unicode

Total characters242
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

Unique36 ?
Unique (%)76.6%

Sample

1st row03157
2nd row03035
3rd row03056
4th row03182
5th row03184
ValueCountFrequency (%)
03140 4
 
8.5%
03157 3
 
6.4%
03035 2
 
4.3%
03073 2
 
4.3%
03162 1
 
2.1%
03039 1
 
2.1%
03126 1
 
2.1%
03176 1
 
2.1%
03121 1
 
2.1%
03174 1
 
2.1%
Other values (30) 30
63.8%
2024-05-11T14:33:13.122609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
30.6%
3 49
20.2%
1 42
17.4%
7 17
 
7.0%
8 13
 
5.4%
2 13
 
5.4%
6 11
 
4.5%
4 10
 
4.1%
5 10
 
4.1%
9 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
30.7%
3 49
20.3%
1 42
17.4%
7 17
 
7.1%
8 13
 
5.4%
2 13
 
5.4%
6 11
 
4.6%
4 10
 
4.1%
5 10
 
4.1%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
30.6%
3 49
20.2%
1 42
17.4%
7 17
 
7.0%
8 13
 
5.4%
2 13
 
5.4%
6 11
 
4.5%
4 10
 
4.1%
5 10
 
4.1%
9 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
30.6%
3 49
20.2%
1 42
17.4%
7 17
 
7.0%
8 13
 
5.4%
2 13
 
5.4%
6 11
 
4.5%
4 10
 
4.1%
5 10
 
4.1%
9 2
 
0.8%

사업장명
Text

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:33:13.514124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length16
Mean length9.7848101
Min length2

Characters and Unicode

Total characters773
Distinct characters206
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

Unique75 ?
Unique (%)94.9%

Sample

1st row동보흥행(주)
2nd row동아흥행(주)
3rd row유니버설픽쳐스인터내셔널코리아(유)
4th row(주)동숭아트센터
5th row미디어필림인터내셔날(주)
ValueCountFrequency (%)
주식회사 10
 
9.5%
유니버설픽쳐스인터내셔널코리아(유 2
 
1.9%
유한회사 2
 
1.9%
co.,ltd 2
 
1.9%
가나미디어 2
 
1.9%
날개숲 1
 
1.0%
헤드라인컴퍼니(주 1
 
1.0%
시네마 1
 
1.0%
에무 1
 
1.0%
지원아이엔티 1
 
1.0%
Other values (82) 82
78.1%
2024-05-11T14:33:14.144808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 53
 
6.9%
) 47
 
6.1%
( 47
 
6.1%
26
 
3.4%
스 25
 
3.2%
사 18
 
2.3%
아 17
 
2.2%
트 16
 
2.1%
인 16
 
2.1%
리 14
 
1.8%
Other values (196) 494
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
78.9%
Close Punctuation 47
 
6.1%
Open Punctuation 47
 
6.1%
Space Separator 26
 
3.4%
Uppercase Letter 22
 
2.8%
Lowercase Letter 16
 
2.1%
Other Punctuation 4
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
8.7%
스 25
 
4.1%
사 18
 
3.0%
아 17
 
2.8%
트 16
 
2.6%
인 16
 
2.6%
리 14
 
2.3%
회 13
 
2.1%
이 13
 
2.1%
마 11
 
1.8%
Other values (165) 414
67.9%
Uppercase Letter
ValueCountFrequency (%)
L 3
13.6%
C 3
13.6%
A 2
 
9.1%
I 2
 
9.1%
T 2
 
9.1%
M 1
 
4.5%
D 1
 
4.5%
O 1
 
4.5%
S 1
 
4.5%
E 1
 
4.5%
Other values (5) 5
22.7%
Lowercase Letter
ValueCountFrequency (%)
t 3
18.8%
o 2
12.5%
i 2
12.5%
d 2
12.5%
e 2
12.5%
n 1
 
6.2%
z 1
 
6.2%
s 1
 
6.2%
r 1
 
6.2%
a 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
78.9%
Common 125
 
16.2%
Latin 38
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
8.7%
스 25
 
4.1%
사 18
 
3.0%
아 17
 
2.8%
트 16
 
2.6%
인 16
 
2.6%
리 14
 
2.3%
회 13
 
2.1%
이 13
 
2.1%
마 11
 
1.8%
Other values (165) 414
67.9%
Latin
ValueCountFrequency (%)
t 3
 
7.9%
L 3
 
7.9%
C 3
 
7.9%
o 2
 
5.3%
i 2
 
5.3%
d 2
 
5.3%
e 2
 
5.3%
A 2
 
5.3%
I 2
 
5.3%
T 2
 
5.3%
Other values (15) 15
39.5%
Common
ValueCountFrequency (%)
) 47
37.6%
( 47
37.6%
26
20.8%
. 2
 
1.6%
, 2
 
1.6%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
78.9%
ASCII 163
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 53
 
8.7%
스 25
 
4.1%
사 18
 
3.0%
아 17
 
2.8%
트 16
 
2.6%
인 16
 
2.6%
리 14
 
2.3%
회 13
 
2.1%
이 13
 
2.1%
마 11
 
1.8%
Other values (165) 414
67.9%
ASCII
ValueCountFrequency (%)
) 47
28.8%
( 47
28.8%
26
16.0%
t 3
 
1.8%
L 3
 
1.8%
C 3
 
1.8%
o 2
 
1.2%
i 2
 
1.2%
d 2
 
1.2%
e 2
 
1.2%
Other values (21) 26
16.0%

최종수정일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2010-04-28 09:26:25
Maximum2024-05-07 16:35:30
2024-05-11T14:33:14.413350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:14.654221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
I
52 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 52
65.8%
U 27
34.2%

Length

2024-05-11T14:33:14.882264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:15.083210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 52
65.8%
u 27
34.2%

데이터갱신일자
Date

Distinct39
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:33:15.239181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:15.449568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)84.4%
Missing2
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean198447.82
Minimum196268.86
Maximum201452.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:33:15.694237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196268.86
5-th percentile196956.34
Q1197486.62
median198324.65
Q3199045.04
95-th percentile200264.77
Maximum201452.97
Range5184.1082
Interquartile range (IQR)1558.4243

Descriptive statistics

Standard deviation1165.002
Coefficient of variation (CV)0.0058705711
Kurtosis-0.36848816
Mean198447.82
Median Absolute Deviation (MAD)838.03428
Skewness0.37773249
Sum15280482
Variance1357229.8
MonotonicityNot monotonic
2024-05-11T14:33:15.925418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198852.959716775 4
 
5.1%
197486.619352489 3
 
3.8%
197612.137033978 2
 
2.5%
198838.912965902 2
 
2.5%
198213.955223154 2
 
2.5%
198150.300374121 2
 
2.5%
199052.164234663 2
 
2.5%
197482.205329945 2
 
2.5%
198966.466796388 2
 
2.5%
198640.079735013 1
 
1.3%
Other values (55) 55
69.6%
(Missing) 2
 
2.5%
ValueCountFrequency (%)
196268.862115864 1
1.3%
196301.180095165 1
1.3%
196305.208166437 1
1.3%
196866.294397525 1
1.3%
196978.856679964 1
1.3%
197036.537391184 1
1.3%
197095.722850724 1
1.3%
197149.750130637 1
1.3%
197181.393301659 1
1.3%
197193.771272123 1
1.3%
ValueCountFrequency (%)
201452.97033909 1
1.3%
201282.378349367 1
1.3%
200480.177581939 1
1.3%
200291.374084556 1
1.3%
200258.121120881 1
1.3%
200257.115683163 1
1.3%
200220.113435114 1
1.3%
200102.346302785 1
1.3%
200072.378101828 1
1.3%
200059.357458161 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)84.4%
Missing2
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean452867.05
Minimum451786.48
Maximum456799.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:33:16.166542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451786.48
5-th percentile451939.4
Q1452214.21
median452535.57
Q3453280.94
95-th percentile455995.83
Maximum456799.44
Range5012.9655
Interquartile range (IQR)1066.7266

Descriptive statistics

Standard deviation1074.4631
Coefficient of variation (CV)0.0023725795
Kurtosis4.9727172
Mean452867.05
Median Absolute Deviation (MAD)358.44615
Skewness2.1949146
Sum34870763
Variance1154470.9
MonotonicityNot monotonic
2024-05-11T14:33:16.488392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452253.942584507 4
 
5.1%
452879.662625651 3
 
3.8%
452831.555366395 2
 
2.5%
452214.210961577 2
 
2.5%
452045.296742706 2
 
2.5%
452019.212642931 2
 
2.5%
452535.569961658 2
 
2.5%
451938.30792481 2
 
2.5%
452608.062544497 2
 
2.5%
452660.293046982 1
 
1.3%
Other values (55) 55
69.6%
(Missing) 2
 
2.5%
ValueCountFrequency (%)
451786.479083595 1
1.3%
451938.037709964 1
1.3%
451938.30792481 2
2.5%
451939.677286976 1
1.3%
451945.047247204 1
1.3%
452019.212642931 2
2.5%
452034.162854757 1
1.3%
452045.296742706 2
2.5%
452087.030190231 1
1.3%
452120.026024435 1
1.3%
ValueCountFrequency (%)
456799.444615205 1
1.3%
456367.747574727 1
1.3%
456352.540582639 1
1.3%
456108.099432583 1
1.3%
455967.757259819 1
1.3%
454141.265162724 1
1.3%
453962.281450199 1
1.3%
453726.473315179 1
1.3%
453591.747319483 1
1.3%
453545.529363707 1
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
영화수입업
56 
<NA>
23 

Length

Max length5
Median length5
Mean length4.7088608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 56
70.9%
<NA> 23
29.1%

Length

2024-05-11T14:33:16.711973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:16.881703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 56
70.9%
na 23
29.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:17.063078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:17.262073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:17.447449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:17.640286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:17.826740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:18.006688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:18.216131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:18.401453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:18.599272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:18.775663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:18.945518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:19.109155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:19.273053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:19.450707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:19.645977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:19.829998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
76 
0
 
3

Length

Max length4
Median length4
Mean length3.8860759
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> 76
96.2%
0 3
 
3.8%

Length

2024-05-11T14:33:20.010454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:20.215848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
96.2%
0 3
 
3.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)96.4%
Missing23
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean20098535
Minimum19860614
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:33:20.534104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860614
5-th percentile19963199
Q120067893
median20091118
Q320153656
95-th percentile20210336
Maximum20220307
Range359693
Interquartile range (IQR)85763

Descriptive statistics

Standard deviation84345.448
Coefficient of variation (CV)0.0041965969
Kurtosis0.98357959
Mean20098535
Median Absolute Deviation (MAD)59047.5
Skewness-0.91490499
Sum1.1255179 × 109
Variance7.1141545 × 109
MonotonicityNot monotonic
2024-05-11T14:33:20.875393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150119 2
 
2.5%
20080813 2
 
2.5%
20110929 1
 
1.3%
20130314 1
 
1.3%
20130627 1
 
1.3%
20131105 1
 
1.3%
20150223 1
 
1.3%
20151203 1
 
1.3%
20150211 1
 
1.3%
20161101 1
 
1.3%
Other values (44) 44
55.7%
(Missing) 23
29.1%
ValueCountFrequency (%)
19860614 1
1.3%
19870811 1
1.3%
19880313 1
1.3%
19990828 1
1.3%
19990929 1
1.3%
19991202 1
1.3%
19991213 1
1.3%
20000526 1
1.3%
20000915 1
1.3%
20030729 1
1.3%
ValueCountFrequency (%)
20220307 1
1.3%
20220217 1
1.3%
20211006 1
1.3%
20210112 1
1.3%
20201216 1
1.3%
20201106 1
1.3%
20200131 1
1.3%
20190724 1
1.3%
20190611 1
1.3%
20181113 1
1.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF521102198600000119860614<NA>3폐업3폐업20140331<NA><NA><NA>394-5411<NA><NA>서울특별시 종로구 부암동 ***-*번지<NA><NA>동보흥행(주)2014-04-03 19:04:28I2018-08-31 23:59:59.0<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19860614<NA>
13000000CDFF521102198700000119870811<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4013<NA>110320서울특별시 종로구 낙원동 ***-*번지서울특별시 종로구 삼일대로 *** (낙원동)<NA>동아흥행(주)2010-04-28 09:26:25I2018-08-31 23:59:59.0<NA>198852.959717452253.942585영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19870811<NA>
23000000CDFF521102198800000119880309<NA>5제외/삭제/전출15전출20221207<NA><NA><NA>02-736-8898<NA><NA>서울특별시 종로구 청진동 128 Tower 8서울특별시 종로구 종로5길 7, Tower 8 15-16층 (청진동)03157유니버설픽쳐스인터내셔널코리아(유)2022-12-07 11:13:32U2021-11-02 00:09:00.0<NA>198213.955223452045.296743<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF521102198800000219880313<NA>3폐업3폐업20140117<NA><NA><NA>766-3290<NA><NA>서울특별시 종로구 동숭동 *-*번지서울특별시 종로구 동숭길 *** (동숭동)<NA>(주)동숭아트센터2014-01-17 15:18:10I2018-08-31 23:59:59.0<NA>200257.115683453485.120042영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19880313<NA>
43000000CDFF521102199900000119990531<NA>3폐업3폐업20151203<NA><NA><NA>732-1895<NA><NA>서울특별시 종로구 통의동 ** 화암빌딩 *층서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)<NA>미디어필림인터내셔날(주)2022-05-13 14:51:32U2021-12-04 23:05:00.0<NA>197486.619352452879.662626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFF521102199900000319990828<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4248<NA>110350서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)<NA>온정필름2010-04-28 10:06:29I2018-08-31 23:59:59.0<NA>198966.466796452608.062544영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990828<NA>
63000000CDFF521102199900000419990929<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4248<NA>110350서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)<NA>(주)오픈시네마2010-04-28 10:08:29I2018-08-31 23:59:59.0<NA>198966.466796452608.062544영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990929<NA>
73000000CDFF521102199900000519991202<NA>1영업/정상13영업중<NA><NA><NA><NA>747-0655<NA>110390서울특별시 종로구 봉익동 **번지서울특별시 종로구 돈화문로*나길 ** (봉익동)<NA>(주)문화환경2010-04-28 10:10:39I2018-08-31 23:59:59.0<NA>199250.62713452229.106961영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991202<NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
693000000CDFF52110220220000032009-07-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-0063<NA><NA>서울특별시 종로구 서린동 ***-* 광화문우체국서울특별시 종로구 종로 *, 광화문우체국 *층 (서린동)03187주식회사 푸르모디티2024-03-13 14:41:38U2023-12-02 23:06:00.0<NA>197995.218793451945.047247<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
703000000CDFF521102202200000420220923<NA>5제외/삭제/전출15전출20221227<NA><NA><NA><NA><NA><NA>서울특별시 종로구 청진동 128 Tower 8서울특별시 종로구 종로5길 7, Tower 8 15,16층 1610호 (청진동)03157파라마운트글로벌코리아 유한회사2022-12-27 17:39:21U2021-11-01 22:09:00.0<NA>198213.955223452045.296743<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713000000CDFF521102202300000120140514<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2155-5145<NA><NA>서울특별시 종로구 중학동 19 더케이트윈타워서울특별시 종로구 종로1길 50, 더케이트윈타워 에이동 11층 (중학동)03142(주)지어소프트2023-01-02 15:37:49I2022-12-01 00:04:00.0<NA>198101.593329452496.3621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723000000CDFF52110220230000022023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>023590741<NA><NA>서울특별시 종로구 필운동 **-*서울특별시 종로구 사직로*길 ** (필운동)03027판씨네마(주)2023-04-12 16:56:47I2022-12-03 23:04:00.0<NA>197095.722851452798.163689<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733000000CDFF52110220230000032023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 ** 르메이에르종로타운*서울특별시 종로구 종로 **, 르메이에르종로타운* 에이동 **층 ****호 (종로*가)03157주식회사 브릴리언트미디어2023-05-11 13:00:58I2022-12-04 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>
743000000CDFF52110220230000041988-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-8898<NA><NA>서울특별시 종로구 청진동 *** 디타워 디* **층서울특별시 종로구 종로*길 **, 디타워 디* **층 (청진동)03155유니버설픽쳐스인터내셔널코리아(유)2023-08-16 10:56:11U2022-12-07 23:08:00.0<NA>198068.926782452087.03019<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753000000CDFF52110220230000052021-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3279-2201<NA><NA>서울특별시 종로구 연건동 ***-* 홍익대학교 대학로캠퍼스 교육동 *층서울특별시 종로구 대학로 **, 홍익대학교 대학로캠퍼스 교육동 *층 (연건동)03082재단법인 국립극단2024-05-07 16:35:30U2023-12-05 00:09:00.0<NA>200059.357458452693.724316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763000000CDFF52110220230000062023-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-4235<NA><NA>서울특별시 종로구 낙원동 *** 낙원상가서울특별시 종로구 삼일대로 ***, 낙원상가 (낙원동)03140(주)동아서울시네마2023-12-29 15:15:24U2022-11-01 21:01:00.0<NA>198838.912966452214.210962<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773000000CDFF52110220240000012024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 **-***서울특별시 종로구 혜화로*길 **-*, B*층 (혜화동)03076사단법인 날개숲2024-04-18 16:51:17I2023-12-03 22:00:00.0<NA>200102.346303454141.265163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783000000CDFF52110220240000022024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜*가 *-***서울특별시 종로구 창경궁로**길 **, ***호 (명륜*가)03073오스카 프로덕션2024-04-24 15:54:03I2023-12-03 22:06:00.0<NA>199587.540175453459.387133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>