Overview

Dataset statistics

Number of variables56
Number of observations54
Missing cells1343
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.9 KiB
Average record size in memory491.4 B

Variable types

Categorical23
Text3
DateTime3
Unsupported23
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17675/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 has 54 (100.0%) missing valuesMissing
폐업일자 has 37 (68.5%) missing valuesMissing
휴업시작일자 has 54 (100.0%) missing valuesMissing
휴업종료일자 has 54 (100.0%) missing valuesMissing
재개업일자 has 54 (100.0%) missing valuesMissing
소재지면적 has 54 (100.0%) missing valuesMissing
업태구분명 has 54 (100.0%) missing valuesMissing
주변환경명 has 53 (98.1%) missing valuesMissing
제작취급품목내용 has 54 (100.0%) missing valuesMissing
건물용도명 has 54 (100.0%) missing valuesMissing
비상계단여부 has 54 (100.0%) missing valuesMissing
비상구여부 has 54 (100.0%) missing valuesMissing
자동환기여부 has 54 (100.0%) missing valuesMissing
청소년실여부 has 54 (100.0%) missing valuesMissing
특수조명여부 has 54 (100.0%) missing valuesMissing
방음시설여부 has 54 (100.0%) missing valuesMissing
비디오재생기명 has 54 (100.0%) missing valuesMissing
조명시설유무 has 54 (100.0%) missing valuesMissing
음향시설여부 has 54 (100.0%) missing valuesMissing
편의시설여부 has 54 (100.0%) missing valuesMissing
소방시설여부 has 54 (100.0%) missing valuesMissing
기존게임업외업종명 has 54 (100.0%) missing valuesMissing
제공게임물명 has 54 (100.0%) missing valuesMissing
품목명 has 54 (100.0%) missing valuesMissing
최초등록시점 has 11 (20.4%) missing valuesMissing
지역구분명 has 54 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 06:07:59.597615
Analysis finished2024-05-11 06:08:00.228279
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
3230000
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 54
100.0%

Length

2024-05-11T15:08:00.319481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:00.457798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 54
100.0%

관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T15:08:00.717546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1080
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

Unique54 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001989000007
2nd rowCDFF4220001999000001
3rd rowCDFF4220001999000002
4th rowCDFF4220001999000003
5th rowCDFF4220002002000001
ValueCountFrequency (%)
cdff4220001989000007 1
 
1.9%
cdff4220002014000017 1
 
1.9%
cdff4220002016000009 1
 
1.9%
cdff4220002014000007 1
 
1.9%
cdff4220002014000008 1
 
1.9%
cdff4220002014000009 1
 
1.9%
cdff4220002014000010 1
 
1.9%
cdff4220002014000011 1
 
1.9%
cdff4220002014000012 1
 
1.9%
cdff4220002014000013 1
 
1.9%
Other values (44) 44
81.5%
2024-05-11T15:08:01.275159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 491
45.5%
2 176
 
16.3%
F 108
 
10.0%
4 80
 
7.4%
1 55
 
5.1%
C 54
 
5.0%
D 54
 
5.0%
9 22
 
2.0%
6 15
 
1.4%
8 7
 
0.6%
Other values (3) 18
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 864
80.0%
Uppercase Letter 216
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 491
56.8%
2 176
 
20.4%
4 80
 
9.3%
1 55
 
6.4%
9 22
 
2.5%
6 15
 
1.7%
8 7
 
0.8%
7 6
 
0.7%
3 6
 
0.7%
5 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
80.0%
Latin 216
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 491
56.8%
2 176
 
20.4%
4 80
 
9.3%
1 55
 
6.4%
9 22
 
2.5%
6 15
 
1.7%
8 7
 
0.8%
7 6
 
0.7%
3 6
 
0.7%
5 6
 
0.7%
Latin
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 491
45.5%
2 176
 
16.3%
F 108
 
10.0%
4 80
 
7.4%
1 55
 
5.1%
C 54
 
5.0%
D 54
 
5.0%
9 22
 
2.0%
6 15
 
1.4%
8 7
 
0.6%
Other values (3) 18
 
1.7%

인허가일자
Date

Distinct11
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1989-07-06 00:00:00
Maximum2016-12-21 00:00:00
2024-05-11T15:08:01.463877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:01.635468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
37 
3
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
68.5%
3 17
31.5%

Length

2024-05-11T15:08:01.816314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:01.938212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
68.5%
3 17
31.5%

영업상태명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
37 
폐업
17 

Length

Max length5
Median length5
Mean length4.0555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 37
68.5%
폐업 17
31.5%

Length

2024-05-11T15:08:02.121096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:02.303654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 37
68.5%
폐업 17
31.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
13
37 
3
17 

Length

Max length2
Median length2
Mean length1.6851852
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 37
68.5%
3 17
31.5%

Length

2024-05-11T15:08:02.476688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:02.651220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 37
68.5%
3 17
31.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업중
37 
폐업
17 

Length

Max length3
Median length3
Mean length2.6851852
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 37
68.5%
폐업 17
31.5%

Length

2024-05-11T15:08:02.823311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:02.998283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 37
68.5%
폐업 17
31.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)41.2%
Missing37
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean20105269
Minimum20020306
Maximum20230102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T15:08:03.149131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020306
5-th percentile20044632
Q120080313
median20080429
Q320141201
95-th percentile20207005
Maximum20230102
Range209796
Interquartile range (IQR)60888

Descriptive statistics

Standard deviation57545.03
Coefficient of variation (CV)0.0028621865
Kurtosis0.3342402
Mean20105269
Median Absolute Deviation (MAD)116
Skewness1.0687435
Sum3.4178958 × 108
Variance3.3114305 × 109
MonotonicityNot monotonic
2024-05-11T15:08:03.361494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20080313 6
 
11.1%
20080429 4
 
7.4%
20201231 2
 
3.7%
20141201 2
 
3.7%
20020306 1
 
1.9%
20050713 1
 
1.9%
20230102 1
 
1.9%
(Missing) 37
68.5%
ValueCountFrequency (%)
20020306 1
 
1.9%
20050713 1
 
1.9%
20080313 6
11.1%
20080429 4
7.4%
20141201 2
 
3.7%
20201231 2
 
3.7%
20230102 1
 
1.9%
ValueCountFrequency (%)
20230102 1
 
1.9%
20201231 2
 
3.7%
20141201 2
 
3.7%
20080429 4
7.4%
20080313 6
11.1%
20050713 1
 
1.9%
20020306 1
 
1.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

전화번호
Categorical

Distinct8
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
02-3470-3493
21 
<NA>
10 
070-8974-9454
9 
2157-1100
7 
02-3431-0450
 
2
Other values (3)
5 

Length

Max length13
Median length12
Mean length10.111111
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row02-3431-0450
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
02-3470-3493 21
38.9%
<NA> 10
18.5%
070-8974-9454 9
16.7%
2157-1100 7
 
13.0%
02-3431-0450 2
 
3.7%
416-0661 2
 
3.7%
02-411-5281 2
 
3.7%
02-2157-1105 1
 
1.9%

Length

2024-05-11T15:08:03.586202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:03.776799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3470-3493 21
38.9%
na 10
18.5%
070-8974-9454 9
16.7%
2157-1100 7
 
13.0%
02-3431-0450 2
 
3.7%
416-0661 2
 
3.7%
02-411-5281 2
 
3.7%
02-2157-1105 1
 
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지우편번호
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
42 
138220
6 
138861
6 

Length

Max length6
Median length4
Mean length4.4444444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row138220
2nd row<NA>
3rd row138220
4th row138220
5th row138220

Common Values

ValueCountFrequency (%)
<NA> 42
77.8%
138220 6
 
11.1%
138861 6
 
11.1%

Length

2024-05-11T15:08:03.985386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:04.164372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
77.8%
138220 6
 
11.1%
138861 6
 
11.1%

지번주소
Categorical

Distinct11
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
서울특별시 송파구 신천동 29
20 
서울특별시 송파구 문정동 618 204동 비162호
9 
서울특별시 송파구 잠실동 40-1번지
6 
서울특별시 송파구 잠실동 175-9번지
6 
서울특별시 송파구 문정동 516 가든파이브라이프영관 10층
5 
Other values (6)
8 

Length

Max length33
Median length32
Mean length22.796296
Min length16

Unique

Unique4 ?
Unique (%)7.4%

Sample

1st row서울특별시 송파구 잠실동 40-1번지
2nd row서울특별시 송파구 잠실동 10 서울종합운동장
3rd row서울특별시 송파구 잠실동 40-1번지
4th row서울특별시 송파구 잠실동 40-1번지
5th row서울특별시 송파구 잠실동 40-1번지

Common Values

ValueCountFrequency (%)
서울특별시 송파구 신천동 29 20
37.0%
서울특별시 송파구 문정동 618 204동 비162호 9
16.7%
서울특별시 송파구 잠실동 40-1번지 6
 
11.1%
서울특별시 송파구 잠실동 175-9번지 6
 
11.1%
서울특별시 송파구 문정동 516 가든파이브라이프영관 10층 5
 
9.3%
서울특별시 송파구 잠실동 10 서울종합운동장 2
 
3.7%
서울특별시 송파구 문정동 516 가든파이브라이프영관10층 2
 
3.7%
서울특별시 송파구 잠실동 40-1번지 롯데월드지하1층 1
 
1.9%
서울특별시 송파구 잠실동 롯데월드지하1층 1
 
1.9%
서울특별시 송파구 신천동 29 1
 
1.9%

Length

2024-05-11T15:08:04.347863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 54
21.4%
송파구 54
21.4%
신천동 21
 
8.3%
29 21
 
8.3%
문정동 17
 
6.7%
잠실동 16
 
6.3%
618 9
 
3.6%
204동 9
 
3.6%
비162호 9
 
3.6%
40-1번지 7
 
2.8%
Other values (11) 35
13.9%

도로명주소
Categorical

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
서울특별시 송파구 올림픽로 300, 엔터테인먼트동 5~11층 (신천동, 롯데월드몰)
21 
서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)
9 
서울특별시 송파구 충민로 66 (문정동, 가든파이브라이프영관 10층)
7 
서울특별시 송파구 올림픽로 240 (잠실동)
6 
서울특별시 송파구 올림픽로 82 (잠실동)
6 
Other values (4)
5 

Length

Max length46
Median length43
Mean length38.259259
Min length23

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row서울특별시 송파구 올림픽로 240 (잠실동)
2nd row서울특별시 송파구 올림픽로 25 (잠실동)
3rd row서울특별시 송파구 올림픽로 240 (잠실동)
4th row서울특별시 송파구 올림픽로 240 (잠실동)
5th row서울특별시 송파구 올림픽로 240 (잠실동)

Common Values

ValueCountFrequency (%)
서울특별시 송파구 올림픽로 300, 엔터테인먼트동 5~11층 (신천동, 롯데월드몰) 21
38.9%
서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오) 9
16.7%
서울특별시 송파구 충민로 66 (문정동, 가든파이브라이프영관 10층) 7
 
13.0%
서울특별시 송파구 올림픽로 240 (잠실동) 6
 
11.1%
서울특별시 송파구 올림픽로 82 (잠실동) 6
 
11.1%
서울특별시 송파구 올림픽로 25 (잠실동) 2
 
3.7%
서울특별시 송파구 올림픽로 240 (잠실동, 롯데월드지하1층) 1
 
1.9%
서울특별시 송파구 올림픽로 240, 지하1층 (잠실동, 롯데월드) 1
 
1.9%
서울특별시 송파구 충민로 66, 10층 (문정동, 가든파이브라이프) 1
 
1.9%

Length

2024-05-11T15:08:04.582376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:04.792922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 54
14.2%
송파구 54
14.2%
올림픽로 37
 
9.8%
300 21
 
5.5%
엔터테인먼트동 21
 
5.5%
5~11층 21
 
5.5%
신천동 21
 
5.5%
롯데월드몰 21
 
5.5%
문정동 17
 
4.5%
잠실동 16
 
4.2%
Other values (16) 96
25.3%

도로명우편번호
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
5551
21 
<NA>
12 
5837
9 
5838
8 
5500
 
2

Length

Max length6
Median length4
Mean length4.0740741
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row5500
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
5551 21
38.9%
<NA> 12
22.2%
5837 9
16.7%
5838 8
 
14.8%
5500 2
 
3.7%
138721 2
 
3.7%

Length

2024-05-11T15:08:05.043033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:05.246532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5551 21
38.9%
na 12
22.2%
5837 9
16.7%
5838 8
 
14.8%
5500 2
 
3.7%
138721 2
 
3.7%

사업장명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T15:08:06.010329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.740741
Min length4

Characters and Unicode

Total characters688
Distinct characters54
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row롯데월드시네마1관
2nd row잠실자동차극장(1관)
3rd row롯데월드시네마3관
4th row롯데월드시네마4관
5th row롯데월드시네마5관
ValueCountFrequency (%)
롯데시네마 23
22.8%
메가박스 9
 
8.9%
cgv 7
 
6.9%
송파 7
 
6.9%
롯데월드시네마1관 2
 
2.0%
월드타워(제15관 1
 
1.0%
월드타워(제14관 1
 
1.0%
월드타워(제13관 1
 
1.0%
월드타워(제12관 1
 
1.0%
월드타워(제11관 1
 
1.0%
Other values (48) 48
47.5%
2024-05-11T15:08:06.579713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 55
 
8.0%
47
 
6.8%
) 34
 
4.9%
( 34
 
4.9%
데 31
 
4.5%
롯 31
 
4.5%
마 29
 
4.2%
시 29
 
4.2%
월 29
 
4.2%
드 29
 
4.2%
Other values (44) 340
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
69.0%
Decimal Number 65
 
9.4%
Space Separator 47
 
6.8%
Close Punctuation 34
 
4.9%
Open Punctuation 34
 
4.9%
Uppercase Letter 33
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 55
 
11.6%
데 31
 
6.5%
롯 31
 
6.5%
마 29
 
6.1%
시 29
 
6.1%
월 29
 
6.1%
드 29
 
6.1%
네 29
 
6.1%
파 26
 
5.5%
제 21
 
4.4%
Other values (21) 166
34.9%
Decimal Number
ValueCountFrequency (%)
1 20
30.8%
2 10
15.4%
4 7
 
10.8%
3 6
 
9.2%
5 5
 
7.7%
6 5
 
7.7%
8 4
 
6.2%
7 3
 
4.6%
9 3
 
4.6%
0 2
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
C 8
24.2%
V 8
24.2%
G 8
24.2%
E 2
 
6.1%
X 2
 
6.1%
P 1
 
3.0%
R 1
 
3.0%
S 1
 
3.0%
H 1
 
3.0%
D 1
 
3.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
69.0%
Common 180
 
26.2%
Latin 33
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 55
 
11.6%
데 31
 
6.5%
롯 31
 
6.5%
마 29
 
6.1%
시 29
 
6.1%
월 29
 
6.1%
드 29
 
6.1%
네 29
 
6.1%
파 26
 
5.5%
제 21
 
4.4%
Other values (21) 166
34.9%
Common
ValueCountFrequency (%)
47
26.1%
) 34
18.9%
( 34
18.9%
1 20
11.1%
2 10
 
5.6%
4 7
 
3.9%
3 6
 
3.3%
5 5
 
2.8%
6 5
 
2.8%
8 4
 
2.2%
Other values (3) 8
 
4.4%
Latin
ValueCountFrequency (%)
C 8
24.2%
V 8
24.2%
G 8
24.2%
E 2
 
6.1%
X 2
 
6.1%
P 1
 
3.0%
R 1
 
3.0%
S 1
 
3.0%
H 1
 
3.0%
D 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
69.0%
ASCII 213
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 55
 
11.6%
데 31
 
6.5%
롯 31
 
6.5%
마 29
 
6.1%
시 29
 
6.1%
월 29
 
6.1%
드 29
 
6.1%
네 29
 
6.1%
파 26
 
5.5%
제 21
 
4.4%
Other values (21) 166
34.9%
ASCII
ValueCountFrequency (%)
47
22.1%
) 34
16.0%
( 34
16.0%
1 20
9.4%
2 10
 
4.7%
C 8
 
3.8%
V 8
 
3.8%
G 8
 
3.8%
4 7
 
3.3%
3 6
 
2.8%
Other values (13) 31
14.6%

최종수정일자
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2006-04-19 18:38:29
Maximum2023-07-18 18:00:37
2024-05-11T15:08:06.824897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:07.050191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
U
40 
I
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 40
74.1%
I 14
 
25.9%

Length

2024-05-11T15:08:07.268403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:07.426391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 40
74.1%
i 14
 
25.9%

데이터갱신일자
Date

Distinct8
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 22:00:00
2024-05-11T15:08:07.578673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:07.796009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

좌표정보(X)
Real number (ℝ)

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209261.07
Minimum206383.83
Maximum211053.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T15:08:08.014576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile206978.09
Q1208589.36
median209074.9
Q3210868.4
95-th percentile211053.12
Maximum211053.12
Range4669.2901
Interquartile range (IQR)2279.0342

Descriptive statistics

Standard deviation1379.6011
Coefficient of variation (CV)0.0065927269
Kurtosis-0.59453065
Mean209261.07
Median Absolute Deviation (MAD)485.5375
Skewness-0.28950751
Sum11300098
Variance1903299.2
MonotonicityNot monotonic
2024-05-11T15:08:08.184605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
209074.900840074 21
38.9%
210868.397496689 9
16.7%
208589.363343145 8
 
14.8%
211053.119518 7
 
13.0%
206978.093333333 6
 
11.1%
206383.829438022 2
 
3.7%
210986.460698452 1
 
1.9%
ValueCountFrequency (%)
206383.829438022 2
 
3.7%
206978.093333333 6
 
11.1%
208589.363343145 8
 
14.8%
209074.900840074 21
38.9%
210868.397496689 9
16.7%
210986.460698452 1
 
1.9%
211053.119518 7
 
13.0%
ValueCountFrequency (%)
211053.119518 7
 
13.0%
210986.460698452 1
 
1.9%
210868.397496689 9
16.7%
209074.900840074 21
38.9%
208589.363343145 8
 
14.8%
206978.093333333 6
 
11.1%
206383.829438022 2
 
3.7%

좌표정보(Y)
Real number (ℝ)

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444477.58
Minimum441725.29
Maximum446030.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T15:08:08.322772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile442026.99
Q1442053.23
median445479.07
Q3445657.81
95-th percentile445657.81
Maximum446030.13
Range4304.8346
Interquartile range (IQR)3604.5814

Descriptive statistics

Standard deviation1683.7606
Coefficient of variation (CV)0.003788179
Kurtosis-1.3728999
Mean444477.58
Median Absolute Deviation (MAD)178.73766
Skewness-0.80688984
Sum24001789
Variance2835049.9
MonotonicityNot monotonic
2024-05-11T15:08:08.527326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
445657.80932984 21
38.9%
442053.227933005 9
16.7%
445455.90405262 8
 
14.8%
442026.988783 7
 
13.0%
445479.071666667 6
 
11.1%
446030.128073052 2
 
3.7%
441725.293491662 1
 
1.9%
ValueCountFrequency (%)
441725.293491662 1
 
1.9%
442026.988783 7
 
13.0%
442053.227933005 9
16.7%
445455.90405262 8
 
14.8%
445479.071666667 6
 
11.1%
445657.80932984 21
38.9%
446030.128073052 2
 
3.7%
ValueCountFrequency (%)
446030.128073052 2
 
3.7%
445657.80932984 21
38.9%
445479.071666667 6
 
11.1%
445455.90405262 8
 
14.8%
442053.227933005 9
16.7%
442026.988783 7
 
13.0%
441725.293491662 1
 
1.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영화상영관
43 
<NA>
11 

Length

Max length5
Median length5
Mean length4.7962963
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 43
79.6%
<NA> 11
 
20.4%

Length

2024-05-11T15:08:08.750415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:08.934624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 43
79.6%
na 11
 
20.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
38 
영화상영관
16 

Length

Max length5
Median length4
Mean length4.2962963
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
70.4%
영화상영관 16
29.6%

Length

2024-05-11T15:08:09.130358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:09.326515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
70.4%
영화상영관 16
29.6%

총층수
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
25 
0
22 
11
7 

Length

Max length4
Median length2
Mean length2.5185185
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
46.3%
0 22
40.7%
11 7
 
13.0%

Length

2024-05-11T15:08:09.532061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:09.699682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
46.3%
0 22
40.7%
11 7
 
13.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing53
Missing (%)98.1%
Memory size564.0 B
2024-05-11T15:08:09.828399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T15:08:10.164739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

시설면적
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:10.490080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:10.650353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

지상층수
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
25 
12
20 
11
7 
0
 
2

Length

Max length4
Median length3
Mean length2.8888889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
46.3%
12 20
37.0%
11 7
 
13.0%
0 2
 
3.7%

Length

2024-05-11T15:08:10.835731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:11.040850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
46.3%
12 20
37.0%
11 7
 
13.0%
0 2
 
3.7%

지하층수
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
25 
6
20 
5
7 
0
 
2

Length

Max length4
Median length1
Mean length2.3888889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
46.3%
6 20
37.0%
5 7
 
13.0%
0 2
 
3.7%

Length

2024-05-11T15:08:11.300375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:11.476459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
46.3%
6 20
37.0%
5 7
 
13.0%
0 2
 
3.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

통로너비
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:11.684559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:11.887035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

조명시설조도
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:12.043684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:12.175920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

노래방실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:12.364013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:12.586970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

청소년실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:12.844721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:13.050579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
0
22 

Length

Max length4
Median length4
Mean length2.7777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
0 22
40.7%

Length

2024-05-11T15:08:13.248744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:13.456451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
0 22
40.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

공연장형태구분명
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영화관
41 
<NA>
11 
자동차극장
 
2

Length

Max length5
Median length3
Mean length3.2777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영화관
2nd row자동차극장
3rd row영화관
4th row영화관
5th row영화관

Common Values

ValueCountFrequency (%)
영화관 41
75.9%
<NA> 11
 
20.4%
자동차극장 2
 
3.7%

Length

2024-05-11T15:08:13.683405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:13.885663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 41
75.9%
na 11
 
20.4%
자동차극장 2
 
3.7%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)20.9%
Missing11
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean20084963
Minimum19890706
Maximum20141014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T15:08:14.052368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890706
5-th percentile19990923
Q120020530
median20090428
Q320141014
95-th percentile20141014
Maximum20141014
Range250308
Interquartile range (IQR)120484

Descriptive statistics

Standard deviation64291.829
Coefficient of variation (CV)0.0032009931
Kurtosis0.13238316
Mean20084963
Median Absolute Deviation (MAD)50586
Skewness-0.8968988
Sum8.6365341 × 108
Variance4.1334392 × 109
MonotonicityNot monotonic
2024-05-11T15:08:14.264163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20141014 20
37.0%
20090428 7
 
13.0%
20020530 6
 
11.1%
19990911 2
 
3.7%
19991029 2
 
3.7%
20020307 2
 
3.7%
20080723 2
 
3.7%
19890706 1
 
1.9%
20020309 1
 
1.9%
(Missing) 11
20.4%
ValueCountFrequency (%)
19890706 1
 
1.9%
19990911 2
 
3.7%
19991029 2
 
3.7%
20020307 2
 
3.7%
20020309 1
 
1.9%
20020530 6
 
11.1%
20080723 2
 
3.7%
20090428 7
 
13.0%
20141014 20
37.0%
ValueCountFrequency (%)
20141014 20
37.0%
20090428 7
 
13.0%
20080723 2
 
3.7%
20020530 6
 
11.1%
20020309 1
 
1.9%
20020307 2
 
3.7%
19991029 2
 
3.7%
19990911 2
 
3.7%
19890706 1
 
1.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF422000198900000719890706<NA>3폐업3폐업20020306<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마1관2006-06-07 10:03:01I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19890706<NA>
13230000CDFF422000199900000119990911<NA>3폐업3폐업20201231<NA><NA><NA>02-3431-0450<NA><NA>서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25 (잠실동)5500잠실자동차극장(1관)2021-07-16 16:30:11U2021-07-18 02:40:00.0<NA>206383.829438446030.128073영화상영관영화상영관0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>자동차극장<NA>19990911<NA>
23230000CDFF422000199900000219991029<NA>3폐업3폐업20080429<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마3관2008-05-14 14:39:58I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19991029<NA>
33230000CDFF422000199900000319991029<NA>3폐업3폐업20080429<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마4관2008-05-14 14:40:32I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19991029<NA>
43230000CDFF422000200200000120020307<NA>3폐업3폐업20050713<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마5관2006-04-19 18:38:29I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020307<NA>
53230000CDFF422000200200000220020307<NA>3폐업3폐업20080429<NA><NA><NA>416-0661<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마1관2008-05-14 14:38:14I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020307<NA>
63230000CDFF422000200200000320020309<NA>3폐업3폐업20080429<NA><NA><NA>416-0661<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)<NA>롯데월드시네마2관2008-05-14 14:39:29I2018-08-31 23:59:59.0<NA>208589.363343445455.904053영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020309<NA>
73230000CDFF422000200200000420020530<NA>3폐업3폐업20080313<NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 175-9번지서울특별시 송파구 올림픽로 82 (잠실동)<NA>키노1관2008-04-02 09:28:26I2018-08-31 23:59:59.0<NA>206978.093333445479.071667영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020530<NA>
83230000CDFF422000200200000520020530<NA>3폐업3폐업20080313<NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 175-9번지서울특별시 송파구 올림픽로 82 (잠실동)<NA>키노2관2008-04-02 09:28:59I2018-08-31 23:59:59.0<NA>206978.093333445479.071667영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020530<NA>
93230000CDFF422000200200000620020530<NA>3폐업3폐업20080313<NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 175-9번지서울특별시 송파구 올림픽로 82 (잠실동)<NA>키노3관2008-04-02 09:29:30I2018-08-31 23:59:59.0<NA>206978.093333445479.071667영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020530<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
443230000CDFF422000201600000120160126<NA>3폐업3폐업20230102<NA><NA><NA>02-2157-1105<NA><NA>서울특별시 송파구 문정동 634 가든파이브라이프 영관 10층서울특별시 송파구 충민로 66, 10층 (문정동, 가든파이브라이프)5838CGV 송파 8관2023-01-12 08:47:37U2022-11-30 23:04:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453230000CDFF42200020160000022016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(9관)2023-07-18 18:00:37U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463230000CDFF42200020160000032016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(8관)2023-07-18 18:00:30U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473230000CDFF42200020160000042016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(7관)2023-07-18 18:00:21U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483230000CDFF42200020160000052016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(6관)2023-07-18 18:00:10U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493230000CDFF42200020160000062016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(5관)2023-07-18 18:00:03U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503230000CDFF42200020160000072016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(4관)2023-07-18 17:59:42U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513230000CDFF42200020160000082016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(3관)2023-07-18 17:59:34U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523230000CDFF42200020160000092016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(2관)2023-07-18 17:58:54U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533230000CDFF42200020160000102016-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8974-9454<NA><NA>서울특별시 송파구 문정동 618 204동 비162호서울특별시 송파구 송파대로 111, 204동 비162호 (문정동, 파크하비오)5837메가박스 송파파크하비오점(1관)2023-07-18 17:58:42U2022-12-06 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>