Overview

Dataset statistics

Number of variables56
Number of observations112
Missing cells2727
Missing cells (%)43.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.3 KiB
Average record size in memory487.2 B

Variable types

Categorical23
Text3
DateTime3
Unsupported21
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17674/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
영업상태코드 is highly imbalanced (57.8%)Imbalance
영업상태명 is highly imbalanced (57.8%)Imbalance
건물용도명 is highly imbalanced (62.8%)Imbalance
통로너비 is highly imbalanced (82.2%)Imbalance
조명시설조도 is highly imbalanced (82.2%)Imbalance
노래방실수 is highly imbalanced (82.2%)Imbalance
청소년실수 is highly imbalanced (82.2%)Imbalance
총게임기수 is highly imbalanced (82.2%)Imbalance
지역구분명 is highly imbalanced (78.8%)Imbalance
인허가취소일자 has 112 (100.0%) missing valuesMissing
폐업일자 has 98 (87.5%) missing valuesMissing
휴업시작일자 has 112 (100.0%) missing valuesMissing
휴업종료일자 has 112 (100.0%) missing valuesMissing
재개업일자 has 112 (100.0%) missing valuesMissing
소재지면적 has 112 (100.0%) missing valuesMissing
소재지우편번호 has 58 (51.8%) missing valuesMissing
도로명우편번호 has 76 (67.9%) missing valuesMissing
업태구분명 has 112 (100.0%) missing valuesMissing
주변환경명 has 111 (99.1%) missing valuesMissing
제작취급품목내용 has 112 (100.0%) missing valuesMissing
비상계단여부 has 112 (100.0%) missing valuesMissing
비상구여부 has 112 (100.0%) missing valuesMissing
자동환기여부 has 112 (100.0%) missing valuesMissing
청소년실여부 has 112 (100.0%) missing valuesMissing
특수조명여부 has 112 (100.0%) missing valuesMissing
방음시설여부 has 112 (100.0%) missing valuesMissing
비디오재생기명 has 112 (100.0%) missing valuesMissing
조명시설유무 has 112 (100.0%) missing valuesMissing
음향시설여부 has 112 (100.0%) missing valuesMissing
편의시설여부 has 112 (100.0%) missing valuesMissing
소방시설여부 has 112 (100.0%) missing valuesMissing
기존게임업외업종명 has 112 (100.0%) missing valuesMissing
제공게임물명 has 112 (100.0%) missing valuesMissing
품목명 has 112 (100.0%) missing valuesMissing
최초등록시점 has 32 (28.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-05-11 07:13:40.779636
Analysis finished2024-05-11 07:13:41.750071
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3220000
112 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 112
100.0%

Length

2024-05-11T07:13:42.008124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:42.350161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 112
100.0%

관리번호
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T07:13:42.730624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2240
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

Unique112 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001983000001
2nd rowCDFF4220001994000001
3rd rowCDFF4220001994000002
4th rowCDFF4220001994000003
5th rowCDFF4220001994000004
ValueCountFrequency (%)
cdff4220001983000001 1
 
0.9%
cdff4220001994000001 1
 
0.9%
cdff4220002002000015 1
 
0.9%
cdff4220002002000014 1
 
0.9%
cdff4220002002000013 1
 
0.9%
cdff4220002002000012 1
 
0.9%
cdff4220002002000011 1
 
0.9%
cdff4220002002000010 1
 
0.9%
cdff4220002002000009 1
 
0.9%
cdff4220002002000008 1
 
0.9%
Other values (102) 102
91.1%
2024-05-11T07:13:43.624190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1052
47.0%
2 357
 
15.9%
F 224
 
10.0%
4 129
 
5.8%
C 112
 
5.0%
D 112
 
5.0%
9 82
 
3.7%
1 78
 
3.5%
3 24
 
1.1%
7 20
 
0.9%
Other values (3) 50
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1792
80.0%
Uppercase Letter 448
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1052
58.7%
2 357
 
19.9%
4 129
 
7.2%
9 82
 
4.6%
1 78
 
4.4%
3 24
 
1.3%
7 20
 
1.1%
8 18
 
1.0%
5 16
 
0.9%
6 16
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 224
50.0%
C 112
25.0%
D 112
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1792
80.0%
Latin 448
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1052
58.7%
2 357
 
19.9%
4 129
 
7.2%
9 82
 
4.6%
1 78
 
4.4%
3 24
 
1.3%
7 20
 
1.1%
8 18
 
1.0%
5 16
 
0.9%
6 16
 
0.9%
Latin
ValueCountFrequency (%)
F 224
50.0%
C 112
25.0%
D 112
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1052
47.0%
2 357
 
15.9%
F 224
 
10.0%
4 129
 
5.8%
C 112
 
5.0%
D 112
 
5.0%
9 82
 
3.7%
1 78
 
3.5%
3 24
 
1.1%
7 20
 
0.9%
Other values (3) 50
 
2.2%

인허가일자
Date

Distinct34
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1983-06-04 00:00:00
Maximum2022-12-22 00:00:00
2024-05-11T07:13:44.140820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:13:44.572986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
96 
3
14 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row1
4th row3
5th row4

Common Values

ValueCountFrequency (%)
1 96
85.7%
3 14
 
12.5%
4 2
 
1.8%

Length

2024-05-11T07:13:44.968768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:45.257211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 96
85.7%
3 14
 
12.5%
4 2
 
1.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
96 
폐업
14 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 96
85.7%
폐업 14
 
12.5%
취소/말소/만료/정지/중지 2
 
1.8%

Length

2024-05-11T07:13:45.673780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:46.020292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 96
85.7%
폐업 14
 
12.5%
취소/말소/만료/정지/중지 2
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
13
82 
03
14 
BBBB
14 
33
 
2

Length

Max length4
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row33
2nd row13
3rd row13
4th row03
5th row33

Common Values

ValueCountFrequency (%)
13 82
73.2%
03 14
 
12.5%
BBBB 14
 
12.5%
33 2
 
1.8%

Length

2024-05-11T07:13:46.446847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:46.855644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 82
73.2%
03 14
 
12.5%
bbbb 14
 
12.5%
33 2
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업중
82 
폐업
14 
<NA>
14 
지정취소
 
2

Length

Max length4
Median length3
Mean length3.0178571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 82
73.2%
폐업 14
 
12.5%
<NA> 14
 
12.5%
지정취소 2
 
1.8%

Length

2024-05-11T07:13:47.267193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:47.650164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 82
73.2%
폐업 14
 
12.5%
na 14
 
12.5%
지정취소 2
 
1.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing98
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean20044380
Minimum19991105
Maximum20170426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:13:48.002964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991105
5-th percentile19997164
Q120003402
median20025675
Q320080829
95-th percentile20118748
Maximum20170426
Range179321
Interquartile range (IQR)77426.5

Descriptive statistics

Standard deviation51124.452
Coefficient of variation (CV)0.0025505628
Kurtosis1.2655139
Mean20044380
Median Absolute Deviation (MAD)25139
Skewness1.1666742
Sum2.8062132 × 108
Variance2.6137096 × 109
MonotonicityNot monotonic
2024-05-11T07:13:48.437365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20011123 3
 
2.7%
20080829 3
 
2.7%
20000829 2
 
1.8%
20040227 1
 
0.9%
20000426 1
 
0.9%
19991105 1
 
0.9%
20170426 1
 
0.9%
20050704 1
 
0.9%
20090922 1
 
0.9%
(Missing) 98
87.5%
ValueCountFrequency (%)
19991105 1
 
0.9%
20000426 1
 
0.9%
20000829 2
1.8%
20011123 3
2.7%
20040227 1
 
0.9%
20050704 1
 
0.9%
20080829 3
2.7%
20090922 1
 
0.9%
20170426 1
 
0.9%
ValueCountFrequency (%)
20170426 1
 
0.9%
20090922 1
 
0.9%
20080829 3
2.7%
20050704 1
 
0.9%
20040227 1
 
0.9%
20011123 3
2.7%
20000829 2
1.8%
20000426 1
 
0.9%
19991105 1
 
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Categorical

Distinct14
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
74 
3446-0105
8 
070-7493-3203
 
7
539-9407
 
6
540-8150
 
5
Other values (9)
12 

Length

Max length13
Median length4
Mean length6
Min length4

Unique

Unique6 ?
Unique (%)5.4%

Sample

1st row<NA>
2nd row540-1637
3rd row540-1637
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
66.1%
3446-0105 8
 
7.1%
070-7493-3203 7
 
6.2%
539-9407 6
 
5.4%
540-8150 5
 
4.5%
540-1637 2
 
1.8%
3444-6640 2
 
1.8%
070-7017-6735 2
 
1.8%
3447-0650 1
 
0.9%
753-0391 1
 
0.9%
Other values (4) 4
 
3.6%

Length

2024-05-11T07:13:48.918504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 74
65.5%
3446-0105 8
 
7.1%
070-7493-3203 7
 
6.2%
539-9407 6
 
5.3%
540-8150 5
 
4.4%
540-1637 2
 
1.8%
3444-6640 2
 
1.8%
070-7017-6735 2
 
1.8%
3447-0650 1
 
0.9%
753-0391 1
 
0.9%
Other values (5) 5
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)20.4%
Missing58
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean135668.72
Minimum135090
Maximum135954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:13:49.287742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135090
5-th percentile135090
Q1135270.25
median135819
Q3135930.25
95-th percentile135931
Maximum135954
Range864
Interquartile range (IQR)660

Descriptive statistics

Standard deviation348.9595
Coefficient of variation (CV)0.0025721441
Kurtosis-0.79892255
Mean135668.72
Median Absolute Deviation (MAD)112
Skewness-1.0628595
Sum7326111
Variance121772.73
MonotonicityNot monotonic
2024-05-11T07:13:49.627847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
135090 14
 
12.5%
135931 12
 
10.7%
135811 8
 
7.1%
135819 6
 
5.4%
135825 4
 
3.6%
135897 4
 
3.6%
135954 2
 
1.8%
135928 1
 
0.9%
135815 1
 
0.9%
135822 1
 
0.9%
(Missing) 58
51.8%
ValueCountFrequency (%)
135090 14
12.5%
135811 8
7.1%
135815 1
 
0.9%
135819 6
5.4%
135822 1
 
0.9%
135825 4
 
3.6%
135897 4
 
3.6%
135916 1
 
0.9%
135928 1
 
0.9%
135931 12
10.7%
ValueCountFrequency (%)
135954 2
 
1.8%
135931 12
10.7%
135928 1
 
0.9%
135916 1
 
0.9%
135897 4
 
3.6%
135825 4
 
3.6%
135822 1
 
0.9%
135819 6
5.4%
135815 1
 
0.9%
135811 8
7.1%

지번주소
Categorical

Distinct35
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
서울특별시 강남구 삼성동 159
17 
서울특별시 강남구 삼성동 159-0번지
14 
서울특별시 강남구 역삼동 814-6번지
12 
서울특별시 강남구 도곡동 174-3
7 
서울특별시 강남구 신사동 602
 
5
Other values (30)
57 

Length

Max length33
Median length29
Mean length20.910714
Min length17

Unique

Unique15 ?
Unique (%)13.4%

Sample

1st row서울특별시 강남구 역삼동 814-6번지
2nd row서울특별시 강남구 역삼동 816
3rd row서울특별시 강남구 역삼동 816
4th row서울특별시 강남구 역삼동 772-0번지
5th row서울특별시 강남구 역삼동 814-6번지

Common Values

ValueCountFrequency (%)
서울특별시 강남구 삼성동 159 17
15.2%
서울특별시 강남구 삼성동 159-0번지 14
 
12.5%
서울특별시 강남구 역삼동 814-6번지 12
 
10.7%
서울특별시 강남구 도곡동 174-3 7
 
6.2%
서울특별시 강남구 신사동 602 5
 
4.5%
서울특별시 강남구 신사동 651-21 5
 
4.5%
서울특별시 강남구 역삼동 816 4
 
3.6%
서울특별시 강남구 논현동 91-6번지 4
 
3.6%
서울특별시 강남구 논현동 164-7번지 3
 
2.7%
서울특별시 강남구 신사동 651-21번지 3
 
2.7%
Other values (25) 38
33.9%

Length

2024-05-11T07:13:50.058612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 112
23.6%
강남구 112
23.6%
삼성동 34
 
7.2%
논현동 26
 
5.5%
역삼동 24
 
5.1%
159 20
 
4.2%
신사동 19
 
4.0%
159-0번지 14
 
3.0%
814-6번지 12
 
2.5%
174-3 7
 
1.5%
Other values (40) 94
19.8%

도로명주소
Categorical

Distinct40
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
서울특별시 강남구 영동대로 513 (삼성동, 코엑스)
17 
서울특별시 강남구 영동대로 511 (삼성동)
14 
서울특별시 강남구 강남대로 438 (역삼동)
10 
서울특별시 강남구 남부순환로 2753 (도곡동)
7 
서울특별시 강남구 압구정로30길 45 (신사동)
 
5
Other values (35)
59 

Length

Max length38
Median length34
Mean length26.660714
Min length23

Unique

Unique20 ?
Unique (%)17.9%

Sample

1st row서울특별시 강남구 강남대로 438 (역삼동)
2nd row서울특별시 강남구 강남대로 422 (역삼동)
3rd row서울특별시 강남구 강남대로 422 (역삼동)
4th row서울특별시 강남구 언주로 337 (역삼동)
5th row서울특별시 강남구 강남대로 438 (역삼동)

Common Values

ValueCountFrequency (%)
서울특별시 강남구 영동대로 513 (삼성동, 코엑스) 17
15.2%
서울특별시 강남구 영동대로 511 (삼성동) 14
 
12.5%
서울특별시 강남구 강남대로 438 (역삼동) 10
 
8.9%
서울특별시 강남구 남부순환로 2753 (도곡동) 7
 
6.2%
서울특별시 강남구 압구정로30길 45 (신사동) 5
 
4.5%
서울특별시 강남구 도산대로 323 (신사동) 5
 
4.5%
서울특별시 강남구 도산대로 310 (논현동) 4
 
3.6%
서울특별시 강남구 도산대로 128 (논현동) 3
 
2.7%
서울특별시 강남구 도산대로 323 (신사동) 3
 
2.7%
서울특별시 강남구 논현로 848 (신사동) 3
 
2.7%
Other values (30) 41
36.6%

Length

2024-05-11T07:13:50.517061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 112
18.8%
강남구 112
18.8%
영동대로 34
 
5.7%
삼성동 34
 
5.7%
강남대로 26
 
4.4%
논현동 21
 
3.5%
513 20
 
3.4%
코엑스 20
 
3.4%
도산대로 20
 
3.4%
역삼동 19
 
3.2%
Other values (53) 178
29.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)22.2%
Missing76
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean6165.1667
Minimum6021
Maximum6274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:13:50.897096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6021
5-th percentile6026.5
Q16155.25
median6164
Q36164
95-th percentile6274
Maximum6274
Range253
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation68.913403
Coefficient of variation (CV)0.011177865
Kurtosis0.42379114
Mean6165.1667
Median Absolute Deviation (MAD)0
Skewness-0.16717775
Sum221946
Variance4749.0571
MonotonicityNot monotonic
2024-05-11T07:13:51.286878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6164 20
 
17.9%
6274 7
 
6.2%
6129 4
 
3.6%
6022 1
 
0.9%
6038 1
 
0.9%
6021 1
 
0.9%
6123 1
 
0.9%
6028 1
 
0.9%
(Missing) 76
67.9%
ValueCountFrequency (%)
6021 1
 
0.9%
6022 1
 
0.9%
6028 1
 
0.9%
6038 1
 
0.9%
6123 1
 
0.9%
6129 4
 
3.6%
6164 20
17.9%
6274 7
 
6.2%
ValueCountFrequency (%)
6274 7
 
6.2%
6164 20
17.9%
6129 4
 
3.6%
6123 1
 
0.9%
6038 1
 
0.9%
6028 1
 
0.9%
6022 1
 
0.9%
6021 1
 
0.9%

사업장명
Text

Distinct99
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T07:13:51.905569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length17
Mean length10.169643
Min length4

Characters and Unicode

Total characters1139
Distinct characters130
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)86.6%

Sample

1st row동아극장 1관
2nd row메가박스 씨티(강남대로)1관
3rd row메가박스 씨티(강남대로)2관
4th row동영아트홀
5th row동아극장 3관
ValueCountFrequency (%)
코엑스 19
 
8.4%
메가박스씨네플렉스(주 13
 
5.8%
cgv 11
 
4.9%
2관 10
 
4.4%
1관 9
 
4.0%
브로드웨이 9
 
4.0%
메가박스 8
 
3.5%
컴포트 7
 
3.1%
3관 7
 
3.1%
cgv압구정 6
 
2.7%
Other values (87) 127
56.2%
2024-05-11T07:13:53.370334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
10.0%
관 78
 
6.8%
스 69
 
6.1%
씨 37
 
3.2%
네 37
 
3.2%
1 27
 
2.4%
주 26
 
2.3%
) 23
 
2.0%
( 23
 
2.0%
이 23
 
2.0%
Other values (120) 682
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
64.0%
Uppercase Letter 140
 
12.3%
Space Separator 114
 
10.0%
Decimal Number 93
 
8.2%
Close Punctuation 23
 
2.0%
Open Punctuation 23
 
2.0%
Lowercase Letter 15
 
1.3%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 78
 
10.7%
스 69
 
9.5%
씨 37
 
5.1%
네 37
 
5.1%
주 26
 
3.6%
이 23
 
3.2%
가 22
 
3.0%
박 22
 
3.0%
메 22
 
3.0%
코 19
 
2.6%
Other values (73) 374
51.3%
Uppercase Letter
ValueCountFrequency (%)
C 20
14.3%
G 19
13.6%
V 17
12.1%
E 12
 
8.6%
A 9
 
6.4%
M 9
 
6.4%
O 6
 
4.3%
T 6
 
4.3%
D 5
 
3.6%
R 5
 
3.6%
Other values (11) 32
22.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
a 2
13.3%
h 1
 
6.7%
t 1
 
6.7%
r 1
 
6.7%
b 1
 
6.7%
m 1
 
6.7%
n 1
 
6.7%
i 1
 
6.7%
y 1
 
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
1 27
29.0%
2 21
22.6%
3 14
15.1%
4 12
12.9%
0 7
 
7.5%
5 5
 
5.4%
6 4
 
4.3%
7 2
 
2.2%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
｜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
64.0%
Common 255
 
22.4%
Latin 155
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 78
 
10.7%
스 69
 
9.5%
씨 37
 
5.1%
네 37
 
5.1%
주 26
 
3.6%
이 23
 
3.2%
가 22
 
3.0%
박 22
 
3.0%
메 22
 
3.0%
코 19
 
2.6%
Other values (73) 374
51.3%
Latin
ValueCountFrequency (%)
C 20
12.9%
G 19
12.3%
V 17
 
11.0%
E 12
 
7.7%
A 9
 
5.8%
M 9
 
5.8%
O 6
 
3.9%
T 6
 
3.9%
D 5
 
3.2%
R 5
 
3.2%
Other values (23) 47
30.3%
Common
ValueCountFrequency (%)
114
44.7%
1 27
 
10.6%
) 23
 
9.0%
( 23
 
9.0%
2 21
 
8.2%
3 14
 
5.5%
4 12
 
4.7%
0 7
 
2.7%
5 5
 
2.0%
6 4
 
1.6%
Other values (4) 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
64.0%
ASCII 409
35.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
27.9%
1 27
 
6.6%
) 23
 
5.6%
( 23
 
5.6%
2 21
 
5.1%
C 20
 
4.9%
G 19
 
4.6%
V 17
 
4.2%
3 14
 
3.4%
E 12
 
2.9%
Other values (36) 119
29.1%
Hangul
ValueCountFrequency (%)
관 78
 
10.7%
스 69
 
9.5%
씨 37
 
5.1%
네 37
 
5.1%
주 26
 
3.6%
이 23
 
3.2%
가 22
 
3.0%
박 22
 
3.0%
메 22
 
3.0%
코 19
 
2.6%
Other values (73) 374
51.3%
None
ValueCountFrequency (%)
｜ 1
100.0%

최종수정일자
Date

Distinct63
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2003-02-08 13:54:58
Maximum2024-04-02 18:43:14
2024-05-11T07:13:54.101106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:13:54.620771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
57 
I
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 57
50.9%
I 55
49.1%

Length

2024-05-11T07:13:55.255598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:13:55.766211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 57
50.9%
i 55
49.1%

데이터갱신일자
Date

Distinct15
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T07:13:56.280318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:13:56.620324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203324.22
Minimum201753.19
Maximum205130.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:13:57.420650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201753.19
5-th percentile201869.78
Q1202262.46
median203064.64
Q3205130.59
95-th percentile205130.59
Maximum205130.59
Range3377.4032
Interquartile range (IQR)2868.1338

Descriptive statistics

Standard deviation1285.1612
Coefficient of variation (CV)0.0063207481
Kurtosis-1.4704836
Mean203324.22
Median Absolute Deviation (MAD)1033.9559
Skewness0.4299938
Sum22772313
Variance1651639.2
MonotonicityNot monotonic
2024-05-11T07:13:58.211941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
205130.591678902 32
28.6%
202262.457856142 18
16.1%
203205.416988211 8
 
7.1%
204098.596031345 7
 
6.2%
201869.777642622 6
 
5.4%
202530.184769156 5
 
4.5%
202310.311355859 4
 
3.6%
203064.64017084 4
 
3.6%
201996.425 3
 
2.7%
202478.599525252 3
 
2.7%
Other values (16) 22
19.6%
ValueCountFrequency (%)
201753.188497176 2
 
1.8%
201836.25759237 1
 
0.9%
201851.18 2
 
1.8%
201869.777642622 6
5.4%
201876.763775315 1
 
0.9%
201924.485183724 3
2.7%
201962.838798283 1
 
0.9%
201996.425 3
2.7%
202039.740381753 1
 
0.9%
202160.331920404 1
 
0.9%
ValueCountFrequency (%)
205130.591678902 32
28.6%
204098.596031345 7
 
6.2%
203829.432878247 1
 
0.9%
203432.518476036 2
 
1.8%
203330.191484783 1
 
0.9%
203316.424512517 1
 
0.9%
203228.130613149 1
 
0.9%
203205.416988211 8
 
7.1%
203069.212130947 2
 
1.8%
203064.64017084 4
 
3.6%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445484.76
Minimum442807.32
Maximum446927.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:13:58.898343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442807.32
5-th percentile442807.32
Q1444382.54
median445590.1
Q3446212.4
95-th percentile446900.96
Maximum446927.62
Range4120.3071
Interquartile range (IQR)1829.8573

Descriptive statistics

Standard deviation1097.1927
Coefficient of variation (CV)0.0024629185
Kurtosis0.094545387
Mean445484.76
Median Absolute Deviation (MAD)973.01479
Skewness-0.75071961
Sum49894294
Variance1203831.8
MonotonicityNot monotonic
2024-05-11T07:13:59.546529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
445590.096837802 32
28.6%
444382.542260289 18
16.1%
446740.552934563 8
 
7.1%
442807.317224836 7
 
6.2%
446024.410215048 6
 
5.4%
446900.961207356 5
 
4.5%
444240.798282863 4
 
3.6%
446594.319138687 4
 
3.6%
445069.98 3
 
2.7%
446927.624278174 3
 
2.7%
Other values (16) 22
19.6%
ValueCountFrequency (%)
442807.317224836 7
 
6.2%
443954.517765895 1
 
0.9%
444240.798282863 4
 
3.6%
444382.542260289 18
16.1%
444416.137100893 1
 
0.9%
445069.98 3
 
2.7%
445158.311972517 1
 
0.9%
445481.884402405 1
 
0.9%
445590.096837802 32
28.6%
445767.512366594 1
 
0.9%
ValueCountFrequency (%)
446927.624278174 3
 
2.7%
446927.115857968 1
 
0.9%
446919.448789639 1
 
0.9%
446900.961207356 5
4.5%
446848.284081545 2
 
1.8%
446752.450886565 1
 
0.9%
446740.552934563 8
7.1%
446594.319138687 4
3.6%
446531.904120139 2
 
1.8%
446215.935571418 1
 
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영화상영관
80 
<NA>
32 

Length

Max length5
Median length5
Mean length4.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 80
71.4%
<NA> 32
 
28.6%

Length

2024-05-11T07:14:00.173137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:00.538984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 80
71.4%
na 32
 
28.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영화상영관
73 
<NA>
39 

Length

Max length5
Median length5
Mean length4.6517857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 73
65.2%
<NA> 39
34.8%

Length

2024-05-11T07:14:01.022822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:01.411353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 73
65.2%
na 39
34.8%

총층수
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
69 
0
34 
19
8 
9
 
1

Length

Max length4
Median length4
Mean length2.9196429
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
61.6%
0 34
30.4%
19 8
 
7.1%
9 1
 
0.9%

Length

2024-05-11T07:14:01.904647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:02.336675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
61.6%
0 34
30.4%
19 8
 
7.1%
9 1
 
0.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing111
Missing (%)99.1%
Memory size1.0 KiB
2024-05-11T07:14:02.591073image/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%
2024-05-11T07:14:03.304699image/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 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
63 
0
49 

Length

Max length4
Median length4
Mean length2.6875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
56.2%
0 49
43.8%

Length

2024-05-11T07:14:03.755087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:04.151737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
56.2%
0 49
43.8%

지상층수
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
62 
0
34 
15
14 
6
 
2

Length

Max length4
Median length4
Mean length2.7857143
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> 62
55.4%
0 34
30.4%
15 14
 
12.5%
6 2
 
1.8%

Length

2024-05-11T07:14:04.540049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:05.194866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
55.4%
0 34
30.4%
15 14
 
12.5%
6 2
 
1.8%

지하층수
Categorical

Distinct6
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
62 
0
33 
4
8 
5
 
6
3
 
2

Length

Max length4
Median length4
Mean length2.6607143
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
55.4%
0 33
29.5%
4 8
 
7.1%
5 6
 
5.4%
3 2
 
1.8%
2 1
 
0.9%

Length

2024-05-11T07:14:05.667317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:06.116174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
55.4%
0 33
29.5%
4 8
 
7.1%
5 6
 
5.4%
3 2
 
1.8%
2 1
 
0.9%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
98 
문화시설
13 
근린생활시설
 
1

Length

Max length6
Median length4
Mean length4.0178571
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
87.5%
문화시설 13
 
11.6%
근린생활시설 1
 
0.9%

Length

2024-05-11T07:14:06.563713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:06.914922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
87.5%
문화시설 13
 
11.6%
근린생활시설 1
 
0.9%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
3

Length

Max length4
Median length4
Mean length3.9196429
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> 109
97.3%
0 3
 
2.7%

Length

2024-05-11T07:14:07.295686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:07.658919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
97.3%
0 3
 
2.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
3

Length

Max length4
Median length4
Mean length3.9196429
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> 109
97.3%
0 3
 
2.7%

Length

2024-05-11T07:14:08.100685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:08.469144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
97.3%
0 3
 
2.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
3

Length

Max length4
Median length4
Mean length3.9196429
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> 109
97.3%
0 3
 
2.7%

Length

2024-05-11T07:14:08.830557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:09.233717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
97.3%
0 3
 
2.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
3

Length

Max length4
Median length4
Mean length3.9196429
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> 109
97.3%
0 3
 
2.7%

Length

2024-05-11T07:14:09.619385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:09.978201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
97.3%
0 3
 
2.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
3

Length

Max length4
Median length4
Mean length3.9196429
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> 109
97.3%
0 3
 
2.7%

Length

2024-05-11T07:14:10.432240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:10.867769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
97.3%
0 3
 
2.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
75 
영화관
37 

Length

Max length4
Median length4
Mean length3.6696429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
67.0%
영화관 37
33.0%

Length

2024-05-11T07:14:11.229647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:11.590700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
67.0%
영화관 37
33.0%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)32.5%
Missing32
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean20021175
Minimum19830604
Maximum20200608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:14:11.900782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19830604
5-th percentile19950417
Q119990713
median20000504
Q320030548
95-th percentile20200608
Maximum20200608
Range370004
Interquartile range (IQR)39834.75

Descriptive statistics

Standard deviation67396.154
Coefficient of variation (CV)0.0033662437
Kurtosis2.749808
Mean20021175
Median Absolute Deviation (MAD)19921
Skewness1.3108033
Sum1.601694 × 109
Variance4.5422416 × 109
MonotonicityNot monotonic
2024-05-11T07:14:12.379272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20000504 14
12.5%
19980309 8
 
7.1%
20200608 7
 
6.2%
20020123 7
 
6.2%
20070208 6
 
5.4%
20020425 5
 
4.5%
19991011 4
 
3.6%
20000727 4
 
3.6%
20060704 3
 
2.7%
19990816 3
 
2.7%
Other values (16) 19
17.0%
(Missing) 32
28.6%
ValueCountFrequency (%)
19830604 1
 
0.9%
19941107 1
 
0.9%
19941223 1
 
0.9%
19950215 1
 
0.9%
19950428 1
 
0.9%
19950708 1
 
0.9%
19960726 2
 
1.8%
19971216 2
 
1.8%
19980309 8
7.1%
19980616 1
 
0.9%
ValueCountFrequency (%)
20200608 7
6.2%
20070504 2
 
1.8%
20070208 6
5.4%
20060704 3
2.7%
20060501 1
 
0.9%
20031230 1
 
0.9%
20030320 1
 
0.9%
20020425 5
4.5%
20020123 7
6.2%
20001020 1
 
0.9%

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
106 
일반상업지역
 
5
일반주거지역
 
1

Length

Max length6
Median length4
Mean length4.1071429
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
94.6%
일반상업지역 5
 
4.5%
일반주거지역 1
 
0.9%

Length

2024-05-11T07:14:12.927980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:14:13.380939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
94.6%
일반상업지역 5
 
4.5%
일반주거지역 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF422000198300000119830604<NA>4취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>135931서울특별시 강남구 역삼동 814-6번지서울특별시 강남구 강남대로 438 (역삼동)<NA>동아극장 1관2015-05-13 13:20:11I2018-08-31 23:59:59.0<NA>202262.457856444382.54226영화상영관영화상영관<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19830604<NA>
13220000CDFF42200019940000011994-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>540-1637<NA><NA>서울특별시 강남구 역삼동 816서울특별시 강남구 강남대로 422 (역삼동)6129메가박스 씨티(강남대로)1관2023-06-28 10:27:32U2022-12-05 21:00:00.0<NA>202310.311356444240.798283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF42200019940000021994-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>540-1637<NA><NA>서울특별시 강남구 역삼동 816서울특별시 강남구 강남대로 422 (역삼동)6129메가박스 씨티(강남대로)2관2023-06-28 10:38:03U2022-12-05 21:00:00.0<NA>202310.311356444240.798283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF422000199400000319941107<NA>3폐업03폐업20040227<NA><NA><NA><NA><NA>135928서울특별시 강남구 역삼동 772-0번지서울특별시 강남구 언주로 337 (역삼동)<NA>동영아트홀2004-02-27 13:17:49I2018-08-31 23:59:59.0<NA>203829.432878443954.517766영화상영관영화상영관<NA><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>19941107<NA>
43220000CDFF422000199400000419941223<NA>4취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>135931서울특별시 강남구 역삼동 814-6번지서울특별시 강남구 강남대로 438 (역삼동)<NA>동아극장 3관2015-05-13 13:22:19I2018-08-31 23:59:59.0<NA>202262.457856444382.54226영화상영관영화상영관<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19941223<NA>
53220000CDFF422000199500000119950215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135811서울특별시 강남구 논현동 4-15번지서울특별시 강남구 도산대로 128 (논현동)<NA>씨네마강남 대관2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>201924.485184446086.69291영화상영관영화상영관<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19950215<NA>
63220000CDFF422000199500000219950428<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135815서울특별시 강남구 논현동 58-3번지서울특별시 강남구 학동로 171 (논현동)<NA>(주)케이엠티브이2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>202510.175627445767.512367영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19950428<NA>
73220000CDFF422000199500000319950708<NA>3폐업03폐업20011123<NA><NA><NA><NA><NA>135811서울특별시 강남구 논현동 3-5번지서울특별시 강남구 도산대로8길 8 (논현동)<NA>브로드웨이2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>201869.777643446024.410215영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19950708<NA>
83220000CDFF422000199600000219960726<NA>3폐업03폐업20000829<NA><NA><NA><NA><NA>135954서울특별시 강남구 청담동 86-0번지서울특별시 강남구 선릉로 806 (청담동)<NA>케네마2관2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>203432.518476446848.284082영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19960726<NA>
93220000CDFF422000199600000319960726<NA>3폐업03폐업20000829<NA><NA><NA><NA><NA>135954서울특별시 강남구 청담동 86-0번지서울특별시 강남구 선릉로 806 (청담동)<NA>케네마1관2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>203432.518476446848.284082영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19960726<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1023220000CDFF42200020150000022015-10-30<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-6735<NA><NA>서울특별시 강남구 삼성동 159서울특별시 강남구 영동대로 513 (삼성동, 코엑스)6164코엑스 소상영관 A2024-02-16 10:10:50U2023-12-01 23:08:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1033220000CDFF42200020180000012018-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-6736<NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 지하1층 (삼성동)6164코엑스 부티크 프라이빗 12024-02-14 20:24:16U2023-12-01 23:07:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1043220000CDFF422000202000000120200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡7관2021-12-19 13:32:55U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1053220000CDFF422000202000000220200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡1관2021-12-19 13:32:55U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1063220000CDFF422000202000000320200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡6관2021-12-19 13:32:55U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1073220000CDFF422000202000000420200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡5관2021-12-19 13:32:55U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1083220000CDFF422000202000000520200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡4관2021-12-19 13:32:56U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1093220000CDFF422000202000000620200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡2관2021-12-19 13:32:56U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1103220000CDFF422000202000000720200608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7493-3203<NA><NA>서울특별시 강남구 도곡동 174-3서울특별시 강남구 남부순환로 2753 (도곡동)6274도곡3관2021-12-19 13:32:56U2021-12-21 02:40:00.0<NA>204098.596031442807.317225영화상영관<NA><NA><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>20200608<NA>
1113220000CDFF42200020220000012022-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3865<NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 2~1층 (삼성동)6164코엑스 부티크 프라이빗 2호2024-02-16 10:01:59U2023-12-01 23:08:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>