Overview

Dataset statistics

Number of variables56
Number of observations42
Missing cells1245
Missing cells (%)52.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory495.1 B

Variable types

Categorical16
Text5
DateTime3
Unsupported26
Numeric6

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17678/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (54.6%)Imbalance
총층수 is highly imbalanced (54.6%)Imbalance
시설면적 is highly imbalanced (54.6%)Imbalance
지상층수 is highly imbalanced (54.6%)Imbalance
지하층수 is highly imbalanced (54.6%)Imbalance
통로너비 is highly imbalanced (54.6%)Imbalance
조명시설조도 is highly imbalanced (54.6%)Imbalance
노래방실수 is highly imbalanced (54.6%)Imbalance
청소년실수 is highly imbalanced (54.6%)Imbalance
총게임기수 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 36 (85.7%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 37 (88.1%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 32 (76.2%) missing valuesMissing
도로명주소 has 7 (16.7%) missing valuesMissing
도로명우편번호 has 31 (73.8%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 3 (7.1%) missing valuesMissing
좌표정보(Y) has 3 (7.1%) missing valuesMissing
문화사업자구분명 has 42 (100.0%) missing valuesMissing
주변환경명 has 42 (100.0%) missing valuesMissing
제작취급품목내용 has 42 (100.0%) missing valuesMissing
건물용도명 has 42 (100.0%) missing valuesMissing
비상계단여부 has 42 (100.0%) missing valuesMissing
비상구여부 has 42 (100.0%) missing valuesMissing
자동환기여부 has 42 (100.0%) missing valuesMissing
청소년실여부 has 42 (100.0%) missing valuesMissing
특수조명여부 has 42 (100.0%) missing valuesMissing
방음시설여부 has 42 (100.0%) missing valuesMissing
비디오재생기명 has 42 (100.0%) missing valuesMissing
조명시설유무 has 42 (100.0%) missing valuesMissing
음향시설여부 has 42 (100.0%) missing valuesMissing
편의시설여부 has 42 (100.0%) missing valuesMissing
소방시설여부 has 42 (100.0%) missing valuesMissing
기존게임업외업종명 has 42 (100.0%) missing valuesMissing
제공게임물명 has 42 (100.0%) missing valuesMissing
공연장형태구분명 has 42 (100.0%) missing valuesMissing
품목명 has 42 (100.0%) missing valuesMissing
최초등록시점 has 4 (9.5%) missing valuesMissing
지역구분명 has 42 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 06:20:03.461308
Analysis finished2024-05-11 06:20:04.447657
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3010000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 42
100.0%

Length

2024-05-11T15:20:04.564088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:04.760715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 42
100.0%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T15:20:05.114114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters840
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

Unique42 ?
Unique (%)100.0%

Sample

1st rowCDFF5211041999000001
2nd rowCDFF5211041999000002
3rd rowCDFF5211041999000003
4th rowCDFF5211041999000004
5th rowCDFF5211041999000005
ValueCountFrequency (%)
cdff5211041999000001 1
 
2.4%
cdff5211042011000003 1
 
2.4%
cdff5211042023000001 1
 
2.4%
cdff5211042007000006 1
 
2.4%
cdff5211042008000001 1
 
2.4%
cdff5211042008000003 1
 
2.4%
cdff5211042008000004 1
 
2.4%
cdff5211042009000001 1
 
2.4%
cdff5211042011000001 1
 
2.4%
cdff5211042011000002 1
 
2.4%
Other values (32) 32
76.2%
2024-05-11T15:20:05.713386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 311
37.0%
1 123
 
14.6%
2 94
 
11.2%
F 84
 
10.0%
5 48
 
5.7%
4 48
 
5.7%
C 42
 
5.0%
D 42
 
5.0%
9 19
 
2.3%
3 13
 
1.5%
Other values (3) 16
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
80.0%
Uppercase Letter 168
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
46.3%
1 123
 
18.3%
2 94
 
14.0%
5 48
 
7.1%
4 48
 
7.1%
9 19
 
2.8%
3 13
 
1.9%
7 7
 
1.0%
8 6
 
0.9%
6 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
80.0%
Latin 168
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 311
46.3%
1 123
 
18.3%
2 94
 
14.0%
5 48
 
7.1%
4 48
 
7.1%
9 19
 
2.8%
3 13
 
1.9%
7 7
 
1.0%
8 6
 
0.9%
6 3
 
0.4%
Latin
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 311
37.0%
1 123
 
14.6%
2 94
 
11.2%
F 84
 
10.0%
5 48
 
5.7%
4 48
 
5.7%
C 42
 
5.0%
D 42
 
5.0%
9 19
 
2.3%
3 13
 
1.5%
Other values (3) 16
 
1.9%

인허가일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1999-05-19 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T15:20:06.031811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:06.317555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
36 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
85.7%
3 6
 
14.3%

Length

2024-05-11T15:20:06.569765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:06.762754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
85.7%
3 6
 
14.3%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
36 
폐업
6 

Length

Max length5
Median length5
Mean length4.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
85.7%
폐업 6
 
14.3%

Length

2024-05-11T15:20:06.969246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:07.219175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
85.7%
폐업 6
 
14.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
13
36 
3
6 

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
85.7%
3 6
 
14.3%

Length

2024-05-11T15:20:07.458321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:07.686061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
85.7%
3 6
 
14.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
36 
폐업
6 

Length

Max length3
Median length3
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
85.7%
폐업 6
 
14.3%

Length

2024-05-11T15:20:07.891436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:08.087552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
85.7%
폐업 6
 
14.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing36
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean20168935
Minimum20100422
Maximum20221221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:08.257893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100422
5-th percentile20110443
Q120147908
median20170672
Q320200396
95-th percentile20218445
Maximum20221221
Range120799
Interquartile range (IQR)52487.75

Descriptive statistics

Standard deviation44584.093
Coefficient of variation (CV)0.0022105328
Kurtosis-0.39688961
Mean20168935
Median Absolute Deviation (MAD)34805.5
Skewness-0.4461111
Sum1.2101361 × 108
Variance1.9877414 × 109
MonotonicityNot monotonic
2024-05-11T15:20:08.442107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210118 1
 
2.4%
20140507 1
 
2.4%
20100422 1
 
2.4%
20221221 1
 
2.4%
20170113 1
 
2.4%
20171231 1
 
2.4%
(Missing) 36
85.7%
ValueCountFrequency (%)
20100422 1
2.4%
20140507 1
2.4%
20170113 1
2.4%
20171231 1
2.4%
20210118 1
2.4%
20221221 1
2.4%
ValueCountFrequency (%)
20221221 1
2.4%
20210118 1
2.4%
20171231 1
2.4%
20170113 1
2.4%
20140507 1
2.4%
20100422 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing37
Missing (%)88.1%
Memory size468.0 B
2024-05-11T15:20:08.702752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.6
Min length9

Characters and Unicode

Total characters58
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

Unique5 ?
Unique (%)100.0%

Sample

1st row02-957-5120
2nd row02-2266-2296
3rd row070-8670-4486
4th row2001-8800
5th row070-7793-0220
ValueCountFrequency (%)
02-957-5120 1
20.0%
02-2266-2296 1
20.0%
070-8670-4486 1
20.0%
2001-8800 1
20.0%
070-7793-0220 1
20.0%
2024-05-11T15:20:09.218436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
24.1%
2 10
17.2%
- 9
15.5%
7 6
10.3%
6 5
 
8.6%
8 4
 
6.9%
9 3
 
5.2%
5 2
 
3.4%
1 2
 
3.4%
4 2
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
84.5%
Dash Punctuation 9
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
28.6%
2 10
20.4%
7 6
12.2%
6 5
 
10.2%
8 4
 
8.2%
9 3
 
6.1%
5 2
 
4.1%
1 2
 
4.1%
4 2
 
4.1%
3 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
24.1%
2 10
17.2%
- 9
15.5%
7 6
10.3%
6 5
 
8.6%
8 4
 
6.9%
9 3
 
5.2%
5 2
 
3.4%
1 2
 
3.4%
4 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
24.1%
2 10
17.2%
- 9
15.5%
7 6
10.3%
6 5
 
8.6%
8 4
 
6.9%
9 3
 
5.2%
5 2
 
3.4%
1 2
 
3.4%
4 2
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing32
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean100208.7
Minimum100012
Maximum100834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:09.419932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100012
5-th percentile100012.45
Q1100035
median100137.5
Q3100271.75
95-th percentile100593.7
Maximum100834
Range822
Interquartile range (IQR)236.75

Descriptive statistics

Standard deviation246.8495
Coefficient of variation (CV)0.002463354
Kurtosis4.9296955
Mean100208.7
Median Absolute Deviation (MAD)125
Skewness2.0351981
Sum1002087
Variance60934.678
MonotonicityNot monotonic
2024-05-11T15:20:09.630524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
100095 2
 
4.8%
100013 1
 
2.4%
100300 1
 
2.4%
100271 1
 
2.4%
100272 1
 
2.4%
100180 1
 
2.4%
100834 1
 
2.4%
100015 1
 
2.4%
100012 1
 
2.4%
(Missing) 32
76.2%
ValueCountFrequency (%)
100012 1
2.4%
100013 1
2.4%
100015 1
2.4%
100095 2
4.8%
100180 1
2.4%
100271 1
2.4%
100272 1
2.4%
100300 1
2.4%
100834 1
2.4%
ValueCountFrequency (%)
100834 1
2.4%
100300 1
2.4%
100272 1
2.4%
100271 1
2.4%
100180 1
2.4%
100095 2
4.8%
100015 1
2.4%
100013 1
2.4%
100012 1
2.4%

지번주소
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T15:20:10.109931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length25.357143
Min length15

Characters and Unicode

Total characters1065
Distinct characters95
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

Unique40 ?
Unique (%)95.2%

Sample

1st row서울특별시 중구 충무로3가 60-1번지 극동빌딩 708호
2nd row서울특별시 중구 남대문로5가 500번지
3rd row서울특별시 중구 초동 18-5번지
4th row서울특별시 중구 초동 41
5th row서울특별시 중구 필동1가 3-3번지 세원빌딩 306호
ValueCountFrequency (%)
중구 42
19.8%
서울특별시 41
19.3%
충무로3가 5
 
2.4%
충무로5가 4
 
1.9%
필동1가 3
 
1.4%
다동 3
 
1.4%
필동2가 3
 
1.4%
정동 3
 
1.4%
평광빌딩 3
 
1.4%
19-19번지 3
 
1.4%
Other values (91) 102
48.1%
2024-05-11T15:20:10.802109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
19.2%
1 44
 
4.1%
서 43
 
4.0%
울 43
 
4.0%
시 42
 
3.9%
중 42
 
3.9%
구 42
 
3.9%
특 41
 
3.8%
별 41
 
3.8%
지 37
 
3.5%
Other values (85) 486
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
59.3%
Space Separator 204
 
19.2%
Decimal Number 197
 
18.5%
Dash Punctuation 29
 
2.7%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 43
 
6.8%
울 43
 
6.8%
시 42
 
6.6%
중 42
 
6.6%
구 42
 
6.6%
특 41
 
6.5%
별 41
 
6.5%
지 37
 
5.9%
번 34
 
5.4%
동 32
 
5.1%
Other values (71) 235
37.2%
Decimal Number
ValueCountFrequency (%)
1 44
22.3%
2 33
16.8%
0 20
10.2%
5 18
9.1%
9 18
9.1%
3 17
 
8.6%
4 16
 
8.1%
8 12
 
6.1%
6 11
 
5.6%
7 8
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
59.3%
Common 433
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 43
 
6.8%
울 43
 
6.8%
시 42
 
6.6%
중 42
 
6.6%
구 42
 
6.6%
특 41
 
6.5%
별 41
 
6.5%
지 37
 
5.9%
번 34
 
5.4%
동 32
 
5.1%
Other values (71) 235
37.2%
Common
ValueCountFrequency (%)
204
47.1%
1 44
 
10.2%
2 33
 
7.6%
- 29
 
6.7%
0 20
 
4.6%
5 18
 
4.2%
9 18
 
4.2%
3 17
 
3.9%
4 16
 
3.7%
8 12
 
2.8%
Other values (4) 22
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
59.3%
ASCII 433
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
47.1%
1 44
 
10.2%
2 33
 
7.6%
- 29
 
6.7%
0 20
 
4.6%
5 18
 
4.2%
9 18
 
4.2%
3 17
 
3.9%
4 16
 
3.7%
8 12
 
2.8%
Other values (4) 22
 
5.1%
Hangul
ValueCountFrequency (%)
서 43
 
6.8%
울 43
 
6.8%
시 42
 
6.6%
중 42
 
6.6%
구 42
 
6.6%
특 41
 
6.5%
별 41
 
6.5%
지 37
 
5.9%
번 34
 
5.4%
동 32
 
5.1%
Other values (71) 235
37.2%

도로명주소
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing7
Missing (%)16.7%
Memory size468.0 B
2024-05-11T15:20:11.265578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length30.971429
Min length19

Characters and Unicode

Total characters1084
Distinct characters109
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

Unique33 ?
Unique (%)94.3%

Sample

1st row서울특별시 중구 퇴계로 173, 708호 (충무로3가,극동빌딩)
2nd row서울특별시 중구 소월로2길 12 (남대문로5가)
3rd row서울특별시 중구 마른내로 47 (초동)
4th row서울특별시 중구 마른내로 72 (인현동2가)
5th row서울특별시 중구 수표로6길 30 (충무로3가)
ValueCountFrequency (%)
서울특별시 35
 
16.7%
중구 35
 
16.7%
퇴계로 8
 
3.8%
3 3
 
1.4%
정동길 3
 
1.4%
을지로 3
 
1.4%
243 3
 
1.4%
충무로5가 2
 
1.0%
40 2
 
1.0%
청계천로 2
 
1.0%
Other values (102) 113
54.1%
2024-05-11T15:20:11.986773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
17.6%
로 46
 
4.2%
서 37
 
3.4%
2 36
 
3.3%
중 36
 
3.3%
울 36
 
3.3%
시 35
 
3.2%
( 35
 
3.2%
별 35
 
3.2%
특 35
 
3.2%
Other values (99) 562
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
56.8%
Space Separator 191
 
17.6%
Decimal Number 171
 
15.8%
Open Punctuation 35
 
3.2%
Close Punctuation 35
 
3.2%
Other Punctuation 34
 
3.1%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 46
 
7.5%
서 37
 
6.0%
중 36
 
5.8%
울 36
 
5.8%
시 35
 
5.7%
별 35
 
5.7%
특 35
 
5.7%
구 35
 
5.7%
동 29
 
4.7%
가 24
 
3.9%
Other values (83) 268
43.5%
Decimal Number
ValueCountFrequency (%)
2 36
21.1%
1 34
19.9%
3 22
12.9%
0 18
10.5%
5 13
 
7.6%
4 12
 
7.0%
6 12
 
7.0%
7 12
 
7.0%
8 8
 
4.7%
9 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
56.8%
Common 468
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 46
 
7.5%
서 37
 
6.0%
중 36
 
5.8%
울 36
 
5.8%
시 35
 
5.7%
별 35
 
5.7%
특 35
 
5.7%
구 35
 
5.7%
동 29
 
4.7%
가 24
 
3.9%
Other values (83) 268
43.5%
Common
ValueCountFrequency (%)
191
40.8%
2 36
 
7.7%
( 35
 
7.5%
) 35
 
7.5%
1 34
 
7.3%
, 33
 
7.1%
3 22
 
4.7%
0 18
 
3.8%
5 13
 
2.8%
4 12
 
2.6%
Other values (6) 39
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 616
56.8%
ASCII 468
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
40.8%
2 36
 
7.7%
( 35
 
7.5%
) 35
 
7.5%
1 34
 
7.3%
, 33
 
7.1%
3 22
 
4.7%
0 18
 
3.8%
5 13
 
2.8%
4 12
 
2.6%
Other values (6) 39
 
8.3%
Hangul
ValueCountFrequency (%)
로 46
 
7.5%
서 37
 
6.0%
중 36
 
5.8%
울 36
 
5.8%
시 35
 
5.7%
별 35
 
5.7%
특 35
 
5.7%
구 35
 
5.7%
동 29
 
4.7%
가 24
 
3.9%
Other values (83) 268
43.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing31
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean13249.182
Minimum4518
Maximum100272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:12.150371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4518
5-th percentile4518.5
Q14521.5
median4545
Q34559
95-th percentile52453.5
Maximum100272
Range95754
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation28862.223
Coefficient of variation (CV)2.1784155
Kurtosis10.999961
Mean13249.182
Median Absolute Deviation (MAD)23
Skewness3.3166167
Sum145741
Variance8.3302791 × 108
MonotonicityNot monotonic
2024-05-11T15:20:12.338289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4559 2
 
4.8%
100272 1
 
2.4%
4522 1
 
2.4%
4537 1
 
2.4%
4519 1
 
2.4%
4554 1
 
2.4%
4635 1
 
2.4%
4518 1
 
2.4%
4521 1
 
2.4%
4545 1
 
2.4%
(Missing) 31
73.8%
ValueCountFrequency (%)
4518 1
2.4%
4519 1
2.4%
4521 1
2.4%
4522 1
2.4%
4537 1
2.4%
4545 1
2.4%
4554 1
2.4%
4559 2
4.8%
4635 1
2.4%
100272 1
2.4%
ValueCountFrequency (%)
100272 1
2.4%
4635 1
2.4%
4559 2
4.8%
4554 1
2.4%
4545 1
2.4%
4537 1
2.4%
4522 1
2.4%
4521 1
2.4%
4519 1
2.4%
4518 1
2.4%

사업장명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T15:20:12.621825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length9.547619
Min length4

Characters and Unicode

Total characters401
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row(주)엔터원알에스에스
2nd row(주)제일제당
3rd row(주)한주흥산
4th row화성물산(주)
5th row이스트라인시네마
ValueCountFrequency (%)
주식회사 2
 
3.8%
주)엔터원알에스에스 1
 
1.9%
주)프로덕션목선재 1
 
1.9%
엔터테인먼트 1
 
1.9%
에스케이텔레콤㈜ 1
 
1.9%
㈜엠디씨네마프로덕션(상호 1
 
1.9%
1
 
1.9%
씨너스명동 1
 
1.9%
아이엠피(imp 1
 
1.9%
프로덕션 1
 
1.9%
Other values (41) 41
78.8%
2024-05-11T15:20:13.082300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
 
5.7%
) 23
 
5.7%
주 21
 
5.2%
사 12
 
3.0%
스 11
 
2.7%
이 11
 
2.7%
트 10
 
2.5%
네 10
 
2.5%
10
 
2.5%
영 9
 
2.2%
Other values (116) 261
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
83.8%
Open Punctuation 23
 
5.7%
Close Punctuation 23
 
5.7%
Space Separator 10
 
2.5%
Other Symbol 5
 
1.2%
Uppercase Letter 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
6.2%
사 12
 
3.6%
스 11
 
3.3%
이 11
 
3.3%
트 10
 
3.0%
네 10
 
3.0%
영 9
 
2.7%
인 9
 
2.7%
화 8
 
2.4%
마 8
 
2.4%
Other values (108) 227
67.6%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
M 1
33.3%
I 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
85.0%
Common 57
 
14.2%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
6.2%
사 12
 
3.5%
스 11
 
3.2%
이 11
 
3.2%
트 10
 
2.9%
네 10
 
2.9%
영 9
 
2.6%
인 9
 
2.6%
화 8
 
2.3%
마 8
 
2.3%
Other values (109) 232
68.0%
Common
ValueCountFrequency (%)
( 23
40.4%
) 23
40.4%
10
17.5%
: 1
 
1.8%
Latin
ValueCountFrequency (%)
P 1
33.3%
M 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
83.8%
ASCII 60
 
15.0%
None 5
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
38.3%
) 23
38.3%
10
16.7%
P 1
 
1.7%
M 1
 
1.7%
I 1
 
1.7%
: 1
 
1.7%
Hangul
ValueCountFrequency (%)
주 21
 
6.2%
사 12
 
3.6%
스 11
 
3.3%
이 11
 
3.3%
트 10
 
3.0%
네 10
 
3.0%
영 9
 
2.7%
인 9
 
2.7%
화 8
 
2.4%
마 8
 
2.4%
Other values (108) 227
67.6%
None
ValueCountFrequency (%)
㈜ 5
100.0%

최종수정일자
Date

Distinct35
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2010-04-30 09:26:22
Maximum2024-03-13 13:29:48
2024-05-11T15:20:13.249168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:13.467836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
36 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
85.7%
U 6
 
14.3%

Length

2024-05-11T15:20:13.673373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:13.824215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
85.7%
u 6
 
14.3%

데이터갱신일자
Date

Distinct10
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-05-11T15:20:13.938825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:14.112677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean198825.97
Minimum197214.21
Maximum200748.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:14.308208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197214.21
5-th percentile197279.33
Q1198285.54
median199089.94
Q3199350.49
95-th percentile199829.42
Maximum200748.14
Range3533.9371
Interquartile range (IQR)1064.946

Descriptive statistics

Standard deviation836.8776
Coefficient of variation (CV)0.0042090961
Kurtosis-0.27427613
Mean198825.97
Median Absolute Deviation (MAD)474.96582
Skewness-0.3142552
Sum7754212.7
Variance700364.12
MonotonicityNot monotonic
2024-05-11T15:20:14.488136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
199829.423596734 3
 
7.1%
197279.328436862 3
 
7.1%
198636.2503948 2
 
4.8%
199232.345917588 2
 
4.8%
199602.487744743 1
 
2.4%
199101.132483391 1
 
2.4%
199159.358708769 1
 
2.4%
197214.205778633 1
 
2.4%
198264.174398114 1
 
2.4%
199113.429842388 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
197214.205778633 1
 
2.4%
197279.328436862 3
7.1%
197738.779048425 1
 
2.4%
197799.544196134 1
 
2.4%
197802.292053706 1
 
2.4%
197998.750522263 1
 
2.4%
198256.131665999 1
 
2.4%
198264.174398114 1
 
2.4%
198306.905839189 1
 
2.4%
198367.639004526 1
 
2.4%
ValueCountFrequency (%)
200748.142875917 1
 
2.4%
199829.423596734 3
7.1%
199822.10979662 1
 
2.4%
199602.487744743 1
 
2.4%
199559.81287492 1
 
2.4%
199526.416139264 1
 
2.4%
199464.351773458 1
 
2.4%
199368.673333828 1
 
2.4%
199332.29889394 1
 
2.4%
199298.907451279 1
 
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean451179.1
Minimum450245.12
Maximum451808.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:14.709384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450245.12
5-th percentile450447.29
Q1450975.9
median451140.2
Q3451606.62
95-th percentile451766.4
Maximum451808.1
Range1562.9735
Interquartile range (IQR)630.71293

Descriptive statistics

Standard deviation442.0517
Coefficient of variation (CV)0.0009797699
Kurtosis-0.55766772
Mean451179.1
Median Absolute Deviation (MAD)287.08768
Skewness-0.33567585
Sum17595985
Variance195409.71
MonotonicityNot monotonic
2024-05-11T15:20:14.909640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
451140.199847659 3
 
7.1%
451765.426505347 3
 
7.1%
451005.721641592 2
 
4.8%
451069.902564679 2
 
4.8%
450946.263412407 1
 
2.4%
451111.22018454 1
 
2.4%
451121.161011502 1
 
2.4%
451259.671938774 1
 
2.4%
451644.992565652 1
 
2.4%
450853.112168318 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
450245.124860792 1
2.4%
450252.400952479 1
2.4%
450468.943076736 1
2.4%
450469.207720925 1
2.4%
450521.521878056 1
2.4%
450682.154999599 1
2.4%
450735.867933142 1
2.4%
450853.112168318 1
2.4%
450946.263412407 1
2.4%
450952.617175853 1
2.4%
ValueCountFrequency (%)
451808.098341971 1
 
2.4%
451775.169253151 1
 
2.4%
451765.426505347 3
7.1%
451725.851518121 1
 
2.4%
451720.217970577 1
 
2.4%
451693.211256949 1
 
2.4%
451644.992565652 1
 
2.4%
451635.393507 1
 
2.4%
451577.838950867 1
 
2.4%
451576.096658087 1
 
2.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영화상영업
38 
<NA>
4 

Length

Max length5
Median length5
Mean length4.9047619
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:15.160345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:15.322872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 38
90.5%
na 4
 
9.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:15.487878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:15.641897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:15.798245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:15.954979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:16.441122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:16.641646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:16.802545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:16.966139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:17.132170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:17.286098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:17.450917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:17.600329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:17.744857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:17.898115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:18.119443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:18.279989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
<NA>
4 

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T15:20:18.436157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:18.638971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
na 4
 
9.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)97.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean20059280
Minimum19990519
Maximum20201116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T15:20:18.849880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990519
5-th percentile19990675
Q120020330
median20065519
Q320087872
95-th percentile20150815
Maximum20201116
Range210597
Interquartile range (IQR)67543

Descriptive statistics

Standard deviation52334.29
Coefficient of variation (CV)0.0026089815
Kurtosis-0.0062911444
Mean20059280
Median Absolute Deviation (MAD)44808
Skewness0.57853211
Sum7.6225264 × 108
Variance2.7388779 × 109
MonotonicityNot monotonic
2024-05-11T15:20:19.085385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
19990519 2
 
4.8%
19990706 1
 
2.4%
19991005 1
 
2.4%
20071130 1
 
2.4%
20080122 1
 
2.4%
20080328 1
 
2.4%
20080515 1
 
2.4%
20090325 1
 
2.4%
20110401 1
 
2.4%
20110623 1
 
2.4%
Other values (27) 27
64.3%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
19990519 2
4.8%
19990703 1
2.4%
19990706 1
2.4%
19991005 1
2.4%
19991021 1
2.4%
20011027 1
2.4%
20011130 1
2.4%
20011207 1
2.4%
20020204 1
2.4%
20020706 1
2.4%
ValueCountFrequency (%)
20201116 1
2.4%
20150825 1
2.4%
20150813 1
2.4%
20130502 1
2.4%
20120228 1
2.4%
20110729 1
2.4%
20110623 1
2.4%
20110401 1
2.4%
20091109 1
2.4%
20090325 1
2.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF521104199900000119990519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 60-1번지 극동빌딩 708호서울특별시 중구 퇴계로 173, 708호 (충무로3가,극동빌딩)<NA>(주)엔터원알에스에스2011-06-01 10:20:25I2018-08-31 23:59:59.0<NA>199145.324201451040.432662영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990519<NA>
13010000CDFF521104199900000219990519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100095서울특별시 중구 남대문로5가 500번지서울특별시 중구 소월로2길 12 (남대문로5가)<NA>(주)제일제당2011-06-01 10:22:06I2018-08-31 23:59:59.0<NA>197802.292054450252.400952영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990519<NA>
23010000CDFF521104199900000319990703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100300서울특별시 중구 초동 18-5번지서울특별시 중구 마른내로 47 (초동)<NA>(주)한주흥산2011-06-01 10:23:49I2018-08-31 23:59:59.0<NA>199332.298894451378.467999영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990703<NA>
33010000CDFF521104199900000419990706<NA>3폐업3폐업20210118<NA><NA><NA><NA><NA><NA>서울특별시 중구 초동 41<NA><NA>화성물산(주)2021-01-18 18:32:36U2021-01-20 02:40:00.0<NA><NA><NA>영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990706<NA>
43010000CDFF521104199900000519991005<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100271서울특별시 중구 필동1가 3-3번지 세원빌딩 306호<NA><NA>이스트라인시네마2011-06-01 10:33:09I2018-08-31 23:59:59.0<NA>199232.345918451069.902565영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19991005<NA>
53010000CDFF521104199900000719991021<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동2가 192-30번지서울특별시 중구 마른내로 72 (인현동2가)<NA>아트영상2020-02-04 10:03:20U2020-02-06 02:40:00.0<NA>199559.812875451275.242509영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19991021<NA>
63010000CDFF521104200100000120011027<NA>3폐업3폐업20140507<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로3가 56-19번지서울특별시 중구 수표로6길 30 (충무로3가)<NA>(주)엠브이케이2014-05-07 10:44:14I2018-08-31 23:59:59.0<NA>199221.928057451164.818989영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20011027<NA>
73010000CDFF521104200100000220011130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100272서울특별시 중구 필동2가 17-3번지<NA><NA>세기상사(주)2011-06-01 14:31:52I2018-08-31 23:59:59.0<NA>199464.351773450952.617176영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20011130<NA>
83010000CDFF521104200100000320011207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100180서울특별시 중구 다동 88번지 동아빌딩 8층동서울특별시 중구 남대문로 117, 8층동 (다동,동아빌딩)<NA>(주)화천공사2011-06-01 14:34:03I2018-08-31 23:59:59.0<NA>198367.639005451720.217971영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20011207<NA>
93010000CDFF521104200200000120020706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로1가 87번지서울특별시 중구 을지로 29 (을지로1가)<NA>삼성에버랜드(주)2011-06-01 10:27:30I2018-08-31 23:59:59.0<NA>198256.131666451576.096658영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20020706<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
323010000CDFF521104201500000120150309<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 140 패스트파이브타워서울특별시 중구 남대문로9길 24, 패스트파이브타워 1018호 (다동)4522(주)프로덕션목선재2022-12-19 11:34:48U2021-11-01 22:01:00.0<NA>198264.174398451644.992566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333010000CDFF521104201500000220150813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동2가 1-19번지 가톨릭회관서울특별시 중구 명동길 80, 6층 621호 (명동2가)4537사단법인 가톨릭영화인협회2017-11-30 09:55:30I2018-08-31 23:59:59.0<NA>198875.926645451635.393507영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20150813<NA>
343010000CDFF521104201500000320120228<NA>3폐업3폐업20170113<NA><NA><NA>070-8670-4486<NA><NA>서울특별시 중구 태평로1가 61-21번지서울특별시 중구 세종대로21길 40, 1층 (태평로1가, 씨스퀘어빌딩)4519(주)영화사조제2017-01-13 11:03:38I2018-08-31 23:59:59.0<NA>197799.544196451775.169253영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20120228<NA>
353010000CDFF521104201800000120130502<NA>3폐업3폐업20171231<NA><NA><NA><NA><NA><NA>서울특별시 중구 필동1가 40-1번지 동화빌딩서울특별시 중구 퇴계로 189, 동화빌딩 307호 (필동1가)4554모비딕엔터테인먼트(주)2018-01-08 10:59:51I2018-08-31 23:59:59.0<NA>199298.907451450999.189428영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20130502<NA>
363010000CDFF521104201800000320091109<NA>1영업/정상13영업중<NA><NA><NA><NA>2001-8800<NA><NA>서울특별시 중구 충무로5가 19-19번지 평광빌딩서울특별시 중구 퇴계로 243, 평광빌딩 7층 (충무로5가)4559(주)시네마서비스2018-07-20 19:10:23I2018-08-31 23:59:59.0<NA>199829.423597451140.199848영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20091109<NA>
373010000CDFF521104201800000420150825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로5가 19-19번지 평광빌딩서울특별시 중구 퇴계로 243, 평광빌딩 7층 (충무로5가)4559주식회사 시네마서비스글로벌2018-08-16 20:33:37I2018-08-31 23:59:59.0<NA>199829.423597451140.199848영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20150825<NA>
383010000CDFF521104202000000120201116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남창동 194서울특별시 중구 퇴계로6가길 30, 102호 (남창동)4635주식회사 글린트2020-11-16 13:50:36I2020-11-18 00:23:08.0<NA>197998.750522450521.521878영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20201116<NA>
393010000CDFF521104202200000120020716<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 정동 22 경향신문사서울특별시 중구 정동길 3, 경향신문사 2층 (정동)4518(사)한국시네마테크협의회2022-03-14 15:17:57I2022-03-16 00:22:36.0<NA>197279.328437451765.426505영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20020716<NA>
403010000CDFF52110420230000012022-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 12층 1204호 (다동)4521(주) 아리아스튜디오2023-10-27 19:37:31U2022-10-30 22:09:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413010000CDFF52110420240000012024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7793-0220<NA><NA>서울특별시 중구 산림동 207-2 대림상가서울특별시 중구 을지로 157, 대림상가 대림-서305호 (산림동)4545커뮤니티시네마네트워크 사회적협동조합2024-03-13 13:29:48I2023-12-02 23:06:00.0<NA>199526.416139451693.211257<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>