Overview

Dataset statistics

Number of variables56
Number of observations166
Missing cells4582
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.8 KiB
Average record size in memory485.8 B

Variable types

Categorical17
Text6
DateTime3
Numeric10
Unsupported20

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16841/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (50.6%)Imbalance
주변환경명 is highly imbalanced (82.5%)Imbalance
지하층수 is highly imbalanced (71.2%)Imbalance
건물용도명 is highly imbalanced (73.9%)Imbalance
통로너비 is highly imbalanced (87.0%)Imbalance
노래방실수 is highly imbalanced (87.0%)Imbalance
청소년실수 is highly imbalanced (87.0%)Imbalance
지역구분명 is highly imbalanced (85.9%)Imbalance
인허가취소일자 has 137 (82.5%) missing valuesMissing
폐업일자 has 60 (36.1%) missing valuesMissing
휴업시작일자 has 166 (100.0%) missing valuesMissing
휴업종료일자 has 166 (100.0%) missing valuesMissing
재개업일자 has 166 (100.0%) missing valuesMissing
전화번호 has 163 (98.2%) missing valuesMissing
소재지면적 has 166 (100.0%) missing valuesMissing
소재지우편번호 has 147 (88.6%) missing valuesMissing
지번주소 has 2 (1.2%) missing valuesMissing
도로명주소 has 4 (2.4%) missing valuesMissing
도로명우편번호 has 66 (39.8%) missing valuesMissing
업태구분명 has 166 (100.0%) missing valuesMissing
총층수 has 147 (88.6%) missing valuesMissing
제작취급품목내용 has 91 (54.8%) missing valuesMissing
시설면적 has 27 (16.3%) missing valuesMissing
지상층수 has 148 (89.2%) missing valuesMissing
조명시설조도 has 144 (86.7%) missing valuesMissing
비상계단여부 has 166 (100.0%) missing valuesMissing
비상구여부 has 166 (100.0%) missing valuesMissing
자동환기여부 has 166 (100.0%) missing valuesMissing
청소년실여부 has 166 (100.0%) missing valuesMissing
특수조명여부 has 166 (100.0%) missing valuesMissing
방음시설여부 has 166 (100.0%) missing valuesMissing
비디오재생기명 has 166 (100.0%) missing valuesMissing
조명시설유무 has 166 (100.0%) missing valuesMissing
음향시설여부 has 166 (100.0%) missing valuesMissing
편의시설여부 has 166 (100.0%) missing valuesMissing
소방시설여부 has 166 (100.0%) missing valuesMissing
총게임기수 has 126 (75.9%) missing valuesMissing
기존게임업외업종명 has 166 (100.0%) missing valuesMissing
공연장형태구분명 has 166 (100.0%) missing valuesMissing
품목명 has 166 (100.0%) missing valuesMissing
최초등록시점 has 166 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 3 (1.8%) zerosZeros
지상층수 has 3 (1.8%) zerosZeros
조명시설조도 has 3 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:22:04.539905
Analysis finished2024-05-11 05:22:06.065600
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3240000
166 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 166
100.0%

Length

2024-05-11T14:22:06.192226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:06.304956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 166
100.0%

관리번호
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:22:06.506236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3320
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

Unique166 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142008000001
5th rowCDFF2241142008000002
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.6%
cdff2241142016000009 1
 
0.6%
cdff2241142016000011 1
 
0.6%
cdff2241142016000012 1
 
0.6%
cdff2241142016000013 1
 
0.6%
cdff2241142017000001 1
 
0.6%
cdff2241142017000002 1
 
0.6%
cdff2241142017000003 1
 
0.6%
cdff2241142017000004 1
 
0.6%
cdff2241142017000005 1
 
0.6%
Other values (156) 156
94.0%
2024-05-11T14:22:06.917420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1011
30.5%
2 563
17.0%
1 511
15.4%
4 352
 
10.6%
F 332
 
10.0%
C 166
 
5.0%
D 166
 
5.0%
8 53
 
1.6%
7 45
 
1.4%
9 45
 
1.4%
Other values (3) 76
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2656
80.0%
Uppercase Letter 664
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1011
38.1%
2 563
21.2%
1 511
19.2%
4 352
 
13.3%
8 53
 
2.0%
7 45
 
1.7%
9 45
 
1.7%
3 31
 
1.2%
6 28
 
1.1%
5 17
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 332
50.0%
C 166
25.0%
D 166
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2656
80.0%
Latin 664
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1011
38.1%
2 563
21.2%
1 511
19.2%
4 352
 
13.3%
8 53
 
2.0%
7 45
 
1.7%
9 45
 
1.7%
3 31
 
1.2%
6 28
 
1.1%
5 17
 
0.6%
Latin
ValueCountFrequency (%)
F 332
50.0%
C 166
25.0%
D 166
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1011
30.5%
2 563
17.0%
1 511
15.4%
4 352
 
10.6%
F 332
 
10.0%
C 166
 
5.0%
D 166
 
5.0%
8 53
 
1.6%
7 45
 
1.4%
9 45
 
1.4%
Other values (3) 76
 
2.3%

인허가일자
Date

Distinct152
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-08-13 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:22:07.095027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:07.249558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing137
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean20107213
Minimum20080708
Maximum20170529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:07.423305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080708
5-th percentile20081051
Q120091230
median20100721
Q320120402
95-th percentile20146732
Maximum20170529
Range89821
Interquartile range (IQR)29172

Descriptive statistics

Standard deviation21354.146
Coefficient of variation (CV)0.0010620142
Kurtosis1.6634676
Mean20107213
Median Absolute Deviation (MAD)10512
Skewness1.2011073
Sum5.8310918 × 108
Variance4.5599957 × 108
MonotonicityNot monotonic
2024-05-11T14:22:07.565436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20081218 1
 
0.6%
20170529 1
 
0.6%
20140911 1
 
0.6%
20121005 1
 
0.6%
20130204 1
 
0.6%
20120402 1
 
0.6%
20120308 1
 
0.6%
20111017 1
 
0.6%
20120622 1
 
0.6%
20111020 1
 
0.6%
Other values (19) 19
 
11.4%
(Missing) 137
82.5%
ValueCountFrequency (%)
20080708 1
0.6%
20081007 1
0.6%
20081117 1
0.6%
20081218 1
0.6%
20090112 1
0.6%
20090209 1
0.6%
20091116 1
0.6%
20091230 1
0.6%
20100115 1
0.6%
20100125 1
0.6%
ValueCountFrequency (%)
20170529 1
0.6%
20150612 1
0.6%
20140911 1
0.6%
20130204 1
0.6%
20121005 1
0.6%
20120622 1
0.6%
20120530 1
0.6%
20120402 1
0.6%
20120308 1
0.6%
20111020 1
0.6%

영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
96 
4
38 
1
31 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 96
57.8%
4 38
 
22.9%
1 31
 
18.7%
5 1
 
0.6%

Length

2024-05-11T14:22:07.707803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:07.850753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 96
57.8%
4 38
 
22.9%
1 31
 
18.7%
5 1
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
96 
취소/말소/만료/정지/중지
38 
영업/정상
31 
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length5.3433735
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 96
57.8%
취소/말소/만료/정지/중지 38
 
22.9%
영업/정상 31
 
18.7%
제외/삭제/전출 1
 
0.6%

Length

2024-05-11T14:22:08.013119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:08.169531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 96
57.8%
취소/말소/만료/정지/중지 38
 
22.9%
영업/정상 31
 
18.7%
제외/삭제/전출 1
 
0.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
96 
13
31 
31
29 
35
 
9
15
 
1

Length

Max length2
Median length1
Mean length1.4216867
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3
2nd row31
3rd row31
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 96
57.8%
13 31
 
18.7%
31 29
 
17.5%
35 9
 
5.4%
15 1
 
0.6%

Length

2024-05-11T14:22:08.355907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:08.510594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 96
57.8%
13 31
 
18.7%
31 29
 
17.5%
35 9
 
5.4%
15 1
 
0.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
96 
영업중
31 
등록취소
29 
직권말소
 
9
전출
 
1

Length

Max length4
Median length2
Mean length2.6445783
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 96
57.8%
영업중 31
 
18.7%
등록취소 29
 
17.5%
직권말소 9
 
5.4%
전출 1
 
0.6%

Length

2024-05-11T14:22:08.710085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:08.885186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 96
57.8%
영업중 31
 
18.7%
등록취소 29
 
17.5%
직권말소 9
 
5.4%
전출 1
 
0.6%

폐업일자
Date

MISSING 

Distinct94
Distinct (%)88.7%
Missing60
Missing (%)36.1%
Memory size1.4 KiB
Minimum2008-10-08 00:00:00
Maximum2023-10-10 00:00:00
2024-05-11T14:22:09.047781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:09.256144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing163
Missing (%)98.2%
Memory size1.4 KiB
2024-05-11T14:22:09.462326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.3333333
Min length8

Characters and Unicode

Total characters28
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row472-6560
2nd row475-7174
3rd row02-6285-4130
ValueCountFrequency (%)
472-6560 1
33.3%
475-7174 1
33.3%
02-6285-4130 1
33.3%
2024-05-11T14:22:09.877677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4
14.3%
7 4
14.3%
- 4
14.3%
2 3
10.7%
6 3
10.7%
5 3
10.7%
0 3
10.7%
1 2
7.1%
8 1
 
3.6%
3 1
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
85.7%
Dash Punctuation 4
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4
16.7%
7 4
16.7%
2 3
12.5%
6 3
12.5%
5 3
12.5%
0 3
12.5%
1 2
8.3%
8 1
 
4.2%
3 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4
14.3%
7 4
14.3%
- 4
14.3%
2 3
10.7%
6 3
10.7%
5 3
10.7%
0 3
10.7%
1 2
7.1%
8 1
 
3.6%
3 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4
14.3%
7 4
14.3%
- 4
14.3%
2 3
10.7%
6 3
10.7%
5 3
10.7%
0 3
10.7%
1 2
7.1%
8 1
 
3.6%
3 1
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)57.9%
Missing147
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean134812.53
Minimum134010
Maximum134873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:10.070241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134010
5-th percentile134733.6
Q1134844
median134861
Q3134871
95-th percentile134873
Maximum134873
Range863
Interquartile range (IQR)27

Descriptive statistics

Standard deviation195.14734
Coefficient of variation (CV)0.0014475461
Kurtosis18.63185
Mean134812.53
Median Absolute Deviation (MAD)10
Skewness-4.2996981
Sum2561438
Variance38082.485
MonotonicityNot monotonic
2024-05-11T14:22:10.235814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
134871 5
 
3.0%
134844 2
 
1.2%
134867 2
 
1.2%
134873 2
 
1.2%
134859 2
 
1.2%
134825 1
 
0.6%
134830 1
 
0.6%
134857 1
 
0.6%
134861 1
 
0.6%
134010 1
 
0.6%
(Missing) 147
88.6%
ValueCountFrequency (%)
134010 1
 
0.6%
134814 1
 
0.6%
134825 1
 
0.6%
134830 1
 
0.6%
134844 2
 
1.2%
134857 1
 
0.6%
134859 2
 
1.2%
134861 1
 
0.6%
134867 2
 
1.2%
134871 5
3.0%
ValueCountFrequency (%)
134873 2
 
1.2%
134871 5
3.0%
134867 2
 
1.2%
134861 1
 
0.6%
134859 2
 
1.2%
134857 1
 
0.6%
134844 2
 
1.2%
134830 1
 
0.6%
134825 1
 
0.6%
134814 1
 
0.6%

지번주소
Text

MISSING 

Distinct146
Distinct (%)89.0%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-05-11T14:22:10.813601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length24.213415
Min length16

Characters and Unicode

Total characters3971
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)81.1%

Sample

1st row서울특별시 강동구 천호동 550-10번지 1층
2nd row서울특별시 강동구 성내동 416-4번지 1층 10호,11호
3rd row서울특별시 강동구 천호동 288-29번지 상가건물 7호8호
4th row서울특별시 강동구 천호동 294-21번지
5th row서울특별시 강동구 길동 411-1번지 지하
ValueCountFrequency (%)
서울특별시 164
21.2%
강동구 164
21.2%
천호동 74
 
9.6%
성내동 34
 
4.4%
길동 28
 
3.6%
지층 22
 
2.8%
지하1층 16
 
2.1%
1층 14
 
1.8%
암사동 13
 
1.7%
3층 8
 
1.0%
Other values (178) 236
30.5%
2024-05-11T14:22:12.183288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
737
18.6%
동 330
 
8.3%
지 171
 
4.3%
강 168
 
4.2%
시 167
 
4.2%
1 167
 
4.2%
서 164
 
4.1%
울 164
 
4.1%
특 164
 
4.1%
별 164
 
4.1%
Other values (97) 1575
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2295
57.8%
Decimal Number 785
 
19.8%
Space Separator 737
 
18.6%
Dash Punctuation 147
 
3.7%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 330
14.4%
지 171
 
7.5%
강 168
 
7.3%
시 167
 
7.3%
서 164
 
7.1%
울 164
 
7.1%
특 164
 
7.1%
별 164
 
7.1%
구 164
 
7.1%
번 124
 
5.4%
Other values (79) 515
22.4%
Decimal Number
ValueCountFrequency (%)
1 167
21.3%
4 128
16.3%
3 87
11.1%
5 86
11.0%
2 85
10.8%
0 63
 
8.0%
9 50
 
6.4%
6 42
 
5.4%
7 39
 
5.0%
8 38
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
W 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
737
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2295
57.8%
Common 1673
42.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 330
14.4%
지 171
 
7.5%
강 168
 
7.3%
시 167
 
7.3%
서 164
 
7.1%
울 164
 
7.1%
특 164
 
7.1%
별 164
 
7.1%
구 164
 
7.1%
번 124
 
5.4%
Other values (79) 515
22.4%
Common
ValueCountFrequency (%)
737
44.1%
1 167
 
10.0%
- 147
 
8.8%
4 128
 
7.7%
3 87
 
5.2%
5 86
 
5.1%
2 85
 
5.1%
0 63
 
3.8%
9 50
 
3.0%
6 42
 
2.5%
Other values (5) 81
 
4.8%
Latin
ValueCountFrequency (%)
E 1
33.3%
W 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2295
57.8%
ASCII 1676
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
737
44.0%
1 167
 
10.0%
- 147
 
8.8%
4 128
 
7.6%
3 87
 
5.2%
5 86
 
5.1%
2 85
 
5.1%
0 63
 
3.8%
9 50
 
3.0%
6 42
 
2.5%
Other values (8) 84
 
5.0%
Hangul
ValueCountFrequency (%)
동 330
14.4%
지 171
 
7.5%
강 168
 
7.3%
시 167
 
7.3%
서 164
 
7.1%
울 164
 
7.1%
특 164
 
7.1%
별 164
 
7.1%
구 164
 
7.1%
번 124
 
5.4%
Other values (79) 515
22.4%

도로명주소
Text

MISSING 

Distinct146
Distinct (%)90.1%
Missing4
Missing (%)2.4%
Memory size1.4 KiB
2024-05-11T14:22:13.302097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length30.462963
Min length22

Characters and Unicode

Total characters4935
Distinct characters120
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)82.7%

Sample

1st row서울특별시 강동구 진황도로 7 (천호동,1층)
2nd row서울특별시 강동구 양재대로 1367 (성내동,1층 10호,11호)
3rd row서울특별시 강동구 구천면로 293 (천호동)
4th row서울특별시 강동구 양재대로 1466 (길동,지하)
5th row서울특별시 강동구 구천면로 201 (천호동,2층)
ValueCountFrequency (%)
서울특별시 162
 
17.1%
강동구 162
 
17.1%
천호동 52
 
5.5%
1층 44
 
4.7%
성내동 24
 
2.5%
진황도로 21
 
2.2%
구천면로 21
 
2.2%
양재대로 16
 
1.7%
올림픽로 12
 
1.3%
길동 12
 
1.3%
Other values (235) 419
44.3%
2024-05-11T14:22:14.171686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
844
 
17.1%
동 329
 
6.7%
1 244
 
4.9%
구 188
 
3.8%
강 170
 
3.4%
, 167
 
3.4%
시 165
 
3.3%
) 163
 
3.3%
( 163
 
3.3%
서 162
 
3.3%
Other values (110) 2340
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2811
57.0%
Space Separator 844
 
17.1%
Decimal Number 769
 
15.6%
Other Punctuation 167
 
3.4%
Close Punctuation 163
 
3.3%
Open Punctuation 163
 
3.3%
Dash Punctuation 15
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 329
 
11.7%
구 188
 
6.7%
강 170
 
6.0%
시 165
 
5.9%
서 162
 
5.8%
울 162
 
5.8%
별 162
 
5.8%
특 162
 
5.8%
로 154
 
5.5%
호 136
 
4.8%
Other values (92) 1021
36.3%
Decimal Number
ValueCountFrequency (%)
1 244
31.7%
2 97
 
12.6%
7 80
 
10.4%
3 64
 
8.3%
0 62
 
8.1%
4 58
 
7.5%
5 52
 
6.8%
8 41
 
5.3%
9 39
 
5.1%
6 32
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
E 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
844
100.0%
Other Punctuation
ValueCountFrequency (%)
, 167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2811
57.0%
Common 2121
43.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 329
 
11.7%
구 188
 
6.7%
강 170
 
6.0%
시 165
 
5.9%
서 162
 
5.8%
울 162
 
5.8%
별 162
 
5.8%
특 162
 
5.8%
로 154
 
5.5%
호 136
 
4.8%
Other values (92) 1021
36.3%
Common
ValueCountFrequency (%)
844
39.8%
1 244
 
11.5%
, 167
 
7.9%
) 163
 
7.7%
( 163
 
7.7%
2 97
 
4.6%
7 80
 
3.8%
3 64
 
3.0%
0 62
 
2.9%
4 58
 
2.7%
Other values (5) 179
 
8.4%
Latin
ValueCountFrequency (%)
W 1
33.3%
E 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2811
57.0%
ASCII 2124
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
844
39.7%
1 244
 
11.5%
, 167
 
7.9%
) 163
 
7.7%
( 163
 
7.7%
2 97
 
4.6%
7 80
 
3.8%
3 64
 
3.0%
0 62
 
2.9%
4 58
 
2.7%
Other values (8) 182
 
8.6%
Hangul
ValueCountFrequency (%)
동 329
 
11.7%
구 188
 
6.7%
강 170
 
6.0%
시 165
 
5.9%
서 162
 
5.8%
울 162
 
5.8%
별 162
 
5.8%
특 162
 
5.8%
로 154
 
5.5%
호 136
 
4.8%
Other values (92) 1021
36.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)52.0%
Missing66
Missing (%)39.8%
Infinite0
Infinite (%)0.0%
Mean35115.17
Minimum5211
Maximum134903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:14.397333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5247.95
Q15327.5
median5336.5
Q35405.5
95-th percentile134871
Maximum134903
Range129692
Interquartile range (IQR)78

Descriptive statistics

Standard deviation54769.146
Coefficient of variation (CV)1.5597004
Kurtosis-0.3092839
Mean35115.17
Median Absolute Deviation (MAD)42.5
Skewness1.302801
Sum3511517
Variance2.9996593 × 109
MonotonicityNot monotonic
2024-05-11T14:22:14.623634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5335 11
 
6.6%
5329 5
 
3.0%
5318 5
 
3.0%
5334 4
 
2.4%
134871 4
 
2.4%
134903 3
 
1.8%
5211 3
 
1.8%
5328 3
 
1.8%
5379 3
 
1.8%
5404 3
 
1.8%
Other values (42) 56
33.7%
(Missing) 66
39.8%
ValueCountFrequency (%)
5211 3
1.8%
5241 1
 
0.6%
5247 1
 
0.6%
5248 1
 
0.6%
5254 1
 
0.6%
5259 1
 
0.6%
5264 1
 
0.6%
5265 2
1.2%
5269 1
 
0.6%
5282 1
 
0.6%
ValueCountFrequency (%)
134903 3
1.8%
134880 1
 
0.6%
134871 4
2.4%
134870 2
1.2%
134867 1
 
0.6%
134864 1
 
0.6%
134859 2
1.2%
134849 1
 
0.6%
134846 3
1.8%
134844 1
 
0.6%

사업장명
Text

Distinct138
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:22:15.031685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.8554217
Min length2

Characters and Unicode

Total characters972
Distinct characters208
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)72.3%

Sample

1st row해피게임파크
2nd row해피게임장
3rd row스타게임랜드
4th row타워청소년게임장
5th row에어포스
ValueCountFrequency (%)
인형뽑기 12
 
5.9%
청소년게임장 10
 
4.9%
게임랜드 7
 
3.4%
뽑기1번가 4
 
2.0%
종합게임장 3
 
1.5%
천호게임랜드 3
 
1.5%
종합게임랜드 3
 
1.5%
뽑기방 3
 
1.5%
land 3
 
1.5%
우리게임랜드 2
 
1.0%
Other values (138) 153
75.4%
2024-05-11T14:22:15.900751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 78
 
8.0%
임 78
 
8.0%
드 53
 
5.5%
뽑 42
 
4.3%
랜 42
 
4.3%
37
 
3.8%
기 33
 
3.4%
장 31
 
3.2%
인 25
 
2.6%
형 21
 
2.2%
Other values (198) 532
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 859
88.4%
Uppercase Letter 62
 
6.4%
Space Separator 37
 
3.8%
Decimal Number 5
 
0.5%
Lowercase Letter 4
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 78
 
9.1%
임 78
 
9.1%
드 53
 
6.2%
뽑 42
 
4.9%
랜 42
 
4.9%
기 33
 
3.8%
장 31
 
3.6%
인 25
 
2.9%
형 21
 
2.4%
이 16
 
1.9%
Other values (171) 440
51.2%
Uppercase Letter
ValueCountFrequency (%)
N 11
17.7%
A 6
9.7%
E 5
8.1%
F 5
8.1%
D 5
8.1%
K 4
 
6.5%
Y 4
 
6.5%
S 4
 
6.5%
L 4
 
6.5%
R 3
 
4.8%
Other values (7) 11
17.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
g 1
25.0%
n 1
25.0%
i 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 859
88.4%
Latin 66
 
6.8%
Common 47
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 78
 
9.1%
임 78
 
9.1%
드 53
 
6.2%
뽑 42
 
4.9%
랜 42
 
4.9%
기 33
 
3.8%
장 31
 
3.6%
인 25
 
2.9%
형 21
 
2.4%
이 16
 
1.9%
Other values (171) 440
51.2%
Latin
ValueCountFrequency (%)
N 11
16.7%
A 6
 
9.1%
E 5
 
7.6%
F 5
 
7.6%
D 5
 
7.6%
K 4
 
6.1%
Y 4
 
6.1%
S 4
 
6.1%
L 4
 
6.1%
R 3
 
4.5%
Other values (11) 15
22.7%
Common
ValueCountFrequency (%)
37
78.7%
1 4
 
8.5%
) 2
 
4.3%
( 2
 
4.3%
# 1
 
2.1%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 859
88.4%
ASCII 113
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 78
 
9.1%
임 78
 
9.1%
드 53
 
6.2%
뽑 42
 
4.9%
랜 42
 
4.9%
기 33
 
3.8%
장 31
 
3.6%
인 25
 
2.9%
형 21
 
2.4%
이 16
 
1.9%
Other values (171) 440
51.2%
ASCII
ValueCountFrequency (%)
37
32.7%
N 11
 
9.7%
A 6
 
5.3%
E 5
 
4.4%
F 5
 
4.4%
D 5
 
4.4%
K 4
 
3.5%
Y 4
 
3.5%
S 4
 
3.5%
L 4
 
3.5%
Other values (17) 28
24.8%

최종수정일자
Date

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-10-31 16:33:56
Maximum2024-04-26 17:40:52
2024-05-11T14:22:16.142824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:16.385057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
113 
U
53 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 113
68.1%
U 53
31.9%

Length

2024-05-11T14:22:16.553671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:16.701923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 113
68.1%
u 53
31.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct46
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
108 
2022-12-05 00:03:00.0
 
8
2020-01-05 02:40:00.0
 
6
2020-04-22 02:40:00.0
 
2
2020-09-17 02:40:00.0
 
1
Other values (41)
41 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique42 ?
Unique (%)25.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 108
65.1%
2022-12-05 00:03:00.0 8
 
4.8%
2020-01-05 02:40:00.0 6
 
3.6%
2020-04-22 02:40:00.0 2
 
1.2%
2020-09-17 02:40:00.0 1
 
0.6%
2021-10-30 22:03:00.0 1
 
0.6%
2022-10-30 23:02:00.0 1
 
0.6%
2023-12-03 22:00:00.0 1
 
0.6%
2021-05-28 02:40:00.0 1
 
0.6%
2022-12-01 23:05:00.0 1
 
0.6%
Other values (36) 36
 
21.7%

Length

2024-05-11T14:22:16.869059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 108
32.5%
23:59:59.0 108
32.5%
02:40:00.0 28
 
8.4%
2022-12-05 8
 
2.4%
00:03:00.0 8
 
2.4%
2020-01-05 6
 
1.8%
22:00:00.0 3
 
0.9%
2021-12-06 3
 
0.9%
2021-12-07 2
 
0.6%
2022-12-07 2
 
0.6%
Other values (47) 56
16.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct133
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211784.83
Minimum210607.53
Maximum215383.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:17.061947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210607.53
5-th percentile211053.88
Q1211236.42
median211604.99
Q3212104.26
95-th percentile212758
Maximum215383.03
Range4775.5043
Interquartile range (IQR)867.84289

Descriptive statistics

Standard deviation816.76432
Coefficient of variation (CV)0.0038565761
Kurtosis7.4776017
Mean211784.83
Median Absolute Deviation (MAD)392.47454
Skewness2.3717503
Sum35156282
Variance667103.95
MonotonicityNot monotonic
2024-05-11T14:22:17.276298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211382.149783782 6
 
3.6%
212360.409161271 5
 
3.0%
212104.475455885 3
 
1.8%
211200.701570024 3
 
1.8%
212065.197936533 3
 
1.8%
211397.210589595 3
 
1.8%
211212.517685526 3
 
1.8%
211071.675990942 2
 
1.2%
212481.813207436 2
 
1.2%
211706.696367116 2
 
1.2%
Other values (123) 134
80.7%
ValueCountFrequency (%)
210607.529826692 1
0.6%
210804.329104051 1
0.6%
210852.481842063 1
0.6%
210858.052629348 1
0.6%
210918.821169453 2
1.2%
210970.75707265 1
0.6%
210984.019285072 1
0.6%
211047.953350591 1
0.6%
211071.675990942 2
1.2%
211071.972648257 1
0.6%
ValueCountFrequency (%)
215383.034106 1
0.6%
215289.815449411 1
0.6%
215289.0 1
0.6%
215193.397111566 1
0.6%
214859.432267306 1
0.6%
213640.278266791 1
0.6%
213584.864293281 1
0.6%
213545.011196457 1
0.6%
212762.355109242 1
0.6%
212744.953147096 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct133
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448671.36
Minimum446873.69
Maximum451774.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:17.506542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446873.69
5-th percentile447035.68
Q1448219.18
median448597.51
Q3449248.83
95-th percentile450019.07
Maximum451774.81
Range4901.12
Interquartile range (IQR)1029.6502

Descriptive statistics

Standard deviation903.30871
Coefficient of variation (CV)0.002013297
Kurtosis0.86037123
Mean448671.36
Median Absolute Deviation (MAD)405.01573
Skewness0.40625625
Sum74479445
Variance815966.62
MonotonicityNot monotonic
2024-05-11T14:22:17.743832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448597.508491214 6
 
3.6%
448413.728665464 5
 
3.0%
448133.185682445 3
 
1.8%
448517.825802699 3
 
1.8%
448156.65123895 3
 
1.8%
448776.396553236 3
 
1.8%
449732.261662885 3
 
1.8%
448346.890813727 2
 
1.2%
449096.195019948 2
 
1.2%
449389.45217767 2
 
1.2%
Other values (123) 134
80.7%
ValueCountFrequency (%)
446873.693882299 2
1.2%
446894.680049364 1
0.6%
446924.613699862 1
0.6%
446928.682055134 1
0.6%
446950.187809427 1
0.6%
446959.93759108 1
0.6%
446995.735069717 1
0.6%
447030.369343019 1
0.6%
447051.598623403 1
0.6%
447157.037194288 1
0.6%
ValueCountFrequency (%)
451774.813888 1
0.6%
451519.404046335 1
0.6%
451365.0 1
0.6%
450585.65142374 1
0.6%
450222.008091583 1
0.6%
450219.030003409 1
0.6%
450118.623756386 1
0.6%
450055.160999952 1
0.6%
450022.59777453 1
0.6%
450008.493836538 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
청소년게임제공업
139 
<NA>
27 

Length

Max length8
Median length8
Mean length7.3493976
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 139
83.7%
<NA> 27
 
16.3%

Length

2024-05-11T14:22:17.972014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:18.169944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 139
83.7%
na 27
 
16.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
139 
<NA>
27 

Length

Max length5
Median length5
Mean length4.8373494
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 139
83.7%
<NA> 27
 
16.3%

Length

2024-05-11T14:22:18.348001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:18.505960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 139
83.7%
na 27
 
16.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)47.4%
Missing147
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum17
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:18.638103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median4
Q36
95-th percentile17
Maximum17
Range17
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.9777282
Coefficient of variation (CV)0.99554563
Kurtosis2.0671002
Mean5
Median Absolute Deviation (MAD)3
Skewness1.5374736
Sum95
Variance24.777778
MonotonicityNot monotonic
2024-05-11T14:22:18.804660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 5
 
3.0%
0 3
 
1.8%
1 2
 
1.2%
5 2
 
1.2%
7 2
 
1.2%
17 2
 
1.2%
2 1
 
0.6%
3 1
 
0.6%
10 1
 
0.6%
(Missing) 147
88.6%
ValueCountFrequency (%)
0 3
1.8%
1 2
 
1.2%
2 1
 
0.6%
3 1
 
0.6%
4 5
3.0%
5 2
 
1.2%
7 2
 
1.2%
10 1
 
0.6%
17 2
 
1.2%
ValueCountFrequency (%)
17 2
 
1.2%
10 1
 
0.6%
7 2
 
1.2%
5 2
 
1.2%
4 5
3.0%
3 1
 
0.6%
2 1
 
0.6%
1 2
 
1.2%
0 3
1.8%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
유흥업소밀집지역
 
6
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length4.1686747
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
95.8%
유흥업소밀집지역 6
 
3.6%
학교정화(상대) 1
 
0.6%

Length

2024-05-11T14:22:19.015545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:19.215531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
95.8%
유흥업소밀집지역 6
 
3.6%
학교정화(상대 1
 
0.6%

제작취급품목내용
Text

MISSING 

Distinct73
Distinct (%)97.3%
Missing91
Missing (%)54.8%
Memory size1.4 KiB
2024-05-11T14:22:19.494528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length23
Mean length16.413333
Min length2

Characters and Unicode

Total characters1231
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)94.7%

Sample

1st row덩크슛외
2nd row물대포2
3rd row해저터널
4th row뉴케이브
5th row씨 원더스(Sea Wonders)
ValueCountFrequency (%)
1대 22
 
9.0%
토이즈팝 8
 
3.3%
2대 8
 
3.3%
플러스2 6
 
2.5%
크레인 6
 
2.5%
러브푸시 5
 
2.0%
스마일 5
 
2.0%
코코짱 4
 
1.6%
레인보우 4
 
1.6%
4대 4
 
1.6%
Other values (139) 172
70.5%
2024-05-11T14:22:20.077009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
13.7%
대 75
 
6.1%
, 61
 
5.0%
1 58
 
4.7%
스 44
 
3.6%
2 37
 
3.0%
이 35
 
2.8%
토 27
 
2.2%
러 26
 
2.1%
레 19
 
1.5%
Other values (197) 680
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
57.6%
Space Separator 169
 
13.7%
Decimal Number 156
 
12.7%
Lowercase Letter 69
 
5.6%
Other Punctuation 61
 
5.0%
Uppercase Letter 38
 
3.1%
Open Punctuation 14
 
1.1%
Close Punctuation 14
 
1.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 75
 
10.6%
스 44
 
6.2%
이 35
 
4.9%
토 27
 
3.8%
러 26
 
3.7%
레 19
 
2.7%
즈 19
 
2.7%
팝 18
 
2.5%
코 18
 
2.5%
플 17
 
2.4%
Other values (147) 411
58.0%
Lowercase Letter
ValueCountFrequency (%)
a 13
18.8%
e 12
17.4%
l 6
8.7%
n 6
8.7%
s 5
 
7.2%
t 5
 
7.2%
i 3
 
4.3%
r 3
 
4.3%
c 3
 
4.3%
h 2
 
2.9%
Other values (10) 11
15.9%
Uppercase Letter
ValueCountFrequency (%)
S 7
18.4%
I 5
13.2%
A 5
13.2%
E 3
7.9%
W 3
7.9%
C 3
7.9%
D 2
 
5.3%
F 2
 
5.3%
O 2
 
5.3%
L 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
1 58
37.2%
2 37
23.7%
4 16
 
10.3%
3 12
 
7.7%
0 11
 
7.1%
6 8
 
5.1%
5 7
 
4.5%
7 4
 
2.6%
8 2
 
1.3%
9 1
 
0.6%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
57.6%
Common 415
33.7%
Latin 107
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 75
 
10.6%
스 44
 
6.2%
이 35
 
4.9%
토 27
 
3.8%
러 26
 
3.7%
레 19
 
2.7%
즈 19
 
2.7%
팝 18
 
2.5%
코 18
 
2.5%
플 17
 
2.4%
Other values (147) 411
58.0%
Latin
ValueCountFrequency (%)
a 13
 
12.1%
e 12
 
11.2%
S 7
 
6.5%
l 6
 
5.6%
n 6
 
5.6%
I 5
 
4.7%
s 5
 
4.7%
A 5
 
4.7%
t 5
 
4.7%
i 3
 
2.8%
Other values (25) 40
37.4%
Common
ValueCountFrequency (%)
169
40.7%
, 61
 
14.7%
1 58
 
14.0%
2 37
 
8.9%
4 16
 
3.9%
( 14
 
3.4%
) 14
 
3.4%
3 12
 
2.9%
0 11
 
2.7%
6 8
 
1.9%
Other values (5) 15
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
57.6%
ASCII 522
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
32.4%
, 61
 
11.7%
1 58
 
11.1%
2 37
 
7.1%
4 16
 
3.1%
( 14
 
2.7%
) 14
 
2.7%
a 13
 
2.5%
3 12
 
2.3%
e 12
 
2.3%
Other values (40) 116
22.2%
Hangul
ValueCountFrequency (%)
대 75
 
10.6%
스 44
 
6.2%
이 35
 
4.9%
토 27
 
3.8%
러 26
 
3.7%
레 19
 
2.7%
즈 19
 
2.7%
팝 18
 
2.5%
코 18
 
2.5%
플 17
 
2.4%
Other values (147) 411
58.0%

시설면적
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)80.6%
Missing27
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean101.36007
Minimum17
Maximum304.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:20.273533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile23.91
Q137.47
median106.92
Q3136.945
95-th percentile218.25
Maximum304.76
Range287.76
Interquartile range (IQR)99.475

Descriptive statistics

Standard deviation62.74135
Coefficient of variation (CV)0.61899473
Kurtosis0.40759531
Mean101.36007
Median Absolute Deviation (MAD)48.99
Skewness0.72101064
Sum14089.05
Variance3936.477
MonotonicityNot monotonic
2024-05-11T14:22:20.481820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.92 5
 
3.0%
88.56 4
 
2.4%
132.0 3
 
1.8%
114.89 3
 
1.8%
40.0 2
 
1.2%
246.35 2
 
1.2%
123.3 2
 
1.2%
161.16 2
 
1.2%
114.4 2
 
1.2%
54.6 2
 
1.2%
Other values (102) 112
67.5%
(Missing) 27
 
16.3%
ValueCountFrequency (%)
17.0 1
0.6%
19.7 1
0.6%
21.81 1
0.6%
22.18 1
0.6%
22.53 1
0.6%
23.0 1
0.6%
23.1 1
0.6%
24.0 1
0.6%
25.0 2
1.2%
26.0 1
0.6%
ValueCountFrequency (%)
304.76 1
0.6%
293.14 1
0.6%
264.0 1
0.6%
246.35 2
1.2%
230.15 1
0.6%
224.73 1
0.6%
217.53 1
0.6%
208.13 1
0.6%
199.47 1
0.6%
189.75 1
0.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)44.4%
Missing148
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean4.0555556
Minimum0
Maximum13
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:20.648149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35.5
95-th percentile13
Maximum13
Range13
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.8267206
Coefficient of variation (CV)0.94357495
Kurtosis1.799578
Mean4.0555556
Median Absolute Deviation (MAD)1.5
Skewness1.4401487
Sum73
Variance14.643791
MonotonicityNot monotonic
2024-05-11T14:22:20.803168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 5
 
3.0%
0 3
 
1.8%
2 2
 
1.2%
4 2
 
1.2%
6 2
 
1.2%
13 2
 
1.2%
1 1
 
0.6%
7 1
 
0.6%
(Missing) 148
89.2%
ValueCountFrequency (%)
0 3
1.8%
1 1
 
0.6%
2 2
 
1.2%
3 5
3.0%
4 2
 
1.2%
6 2
 
1.2%
7 1
 
0.6%
13 2
 
1.2%
ValueCountFrequency (%)
13 2
 
1.2%
7 1
 
0.6%
6 2
 
1.2%
4 2
 
1.2%
3 5
3.0%
2 2
 
1.2%
1 1
 
0.6%
0 3
1.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
147 
1
 
13
0
 
3
4
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.6566265
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 147
88.6%
1 13
 
7.8%
0 3
 
1.8%
4 2
 
1.2%
3 1
 
0.6%

Length

2024-05-11T14:22:21.001039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:21.144457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
88.6%
1 13
 
7.8%
0 3
 
1.8%
4 2
 
1.2%
3 1
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
근린생활시설
 
14
숙박시설
 
1
판매시설
 
1

Length

Max length6
Median length4
Mean length4.1686747
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
90.4%
근린생활시설 14
 
8.4%
숙박시설 1
 
0.6%
판매시설 1
 
0.6%

Length

2024-05-11T14:22:21.317351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:21.550084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
90.4%
근린생활시설 14
 
8.4%
숙박시설 1
 
0.6%
판매시설 1
 
0.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
3

Length

Max length4
Median length4
Mean length3.9457831
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> 163
98.2%
0 3
 
1.8%

Length

2024-05-11T14:22:21.775567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:21.962837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.2%
0 3
 
1.8%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)68.2%
Missing144
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean89.090909
Minimum0
Maximum622
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:22.098627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143
median50
Q354.75
95-th percentile273.3
Maximum622
Range622
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation136.21024
Coefficient of variation (CV)1.5288904
Kurtosis11.735721
Mean89.090909
Median Absolute Deviation (MAD)7
Skewness3.2781532
Sum1960
Variance18553.229
MonotonicityNot monotonic
2024-05-11T14:22:22.274722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 3
 
1.8%
42 2
 
1.2%
51 2
 
1.2%
48 2
 
1.2%
43 2
 
1.2%
53 2
 
1.2%
45 1
 
0.6%
80 1
 
0.6%
49 1
 
0.6%
65 1
 
0.6%
Other values (5) 5
 
3.0%
(Missing) 144
86.7%
ValueCountFrequency (%)
0 3
1.8%
42 2
1.2%
43 2
1.2%
45 1
 
0.6%
48 2
1.2%
49 1
 
0.6%
51 2
1.2%
53 2
1.2%
54 1
 
0.6%
55 1
 
0.6%
ValueCountFrequency (%)
622 1
0.6%
275 1
0.6%
241 1
0.6%
80 1
0.6%
65 1
0.6%
55 1
0.6%
54 1
0.6%
53 2
1.2%
51 2
1.2%
49 1
0.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
3

Length

Max length4
Median length4
Mean length3.9457831
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> 163
98.2%
0 3
 
1.8%

Length

2024-05-11T14:22:22.542866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:22.771220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.2%
0 3
 
1.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
0
 
3

Length

Max length4
Median length4
Mean length3.9457831
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> 163
98.2%
0 3
 
1.8%

Length

2024-05-11T14:22:23.018739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:23.260901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
98.2%
0 3
 
1.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)32.5%
Missing126
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean31.225
Minimum0
Maximum60
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:22:23.486002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.95
Q110.75
median40
Q340
95-th percentile45.25
Maximum60
Range60
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation15.846196
Coefficient of variation (CV)0.50748425
Kurtosis-1.0493803
Mean31.225
Median Absolute Deviation (MAD)2.5
Skewness-0.63532922
Sum1249
Variance251.10192
MonotonicityNot monotonic
2024-05-11T14:22:23.790010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
40 20
 
12.0%
9 6
 
3.6%
45 4
 
2.4%
50 1
 
0.6%
30 1
 
0.6%
27 1
 
0.6%
10 1
 
0.6%
7 1
 
0.6%
60 1
 
0.6%
12 1
 
0.6%
Other values (3) 3
 
1.8%
(Missing) 126
75.9%
ValueCountFrequency (%)
0 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 6
 
3.6%
10 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
27 1
 
0.6%
30 1
 
0.6%
40 20
12.0%
ValueCountFrequency (%)
60 1
 
0.6%
50 1
 
0.6%
45 4
 
2.4%
40 20
12.0%
30 1
 
0.6%
27 1
 
0.6%
12 1
 
0.6%
11 1
 
0.6%
10 1
 
0.6%
9 6
 
3.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전체이용가
127 
<NA>
38 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.7831325
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 127
76.5%
<NA> 38
 
22.9%
청소년이용불가 1
 
0.6%

Length

2024-05-11T14:22:24.071969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:24.343212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 127
76.5%
na 38
 
22.9%
청소년이용불가 1
 
0.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
161 
일반상업지역
 
3
일반주거지역
 
2

Length

Max length6
Median length4
Mean length4.060241
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
97.0%
일반상업지역 3
 
1.8%
일반주거지역 2
 
1.2%

Length

2024-05-11T14:22:24.993716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:25.162681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
97.0%
일반상업지역 3
 
1.8%
일반주거지역 2
 
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF224114200700000120070813<NA>3폐업3폐업20110127<NA><NA><NA>472-6560<NA><NA>서울특별시 강동구 천호동 550-10번지 1층서울특별시 강동구 진황도로 7 (천호동,1층)<NA>해피게임파크2011-01-27 16:18:10I2018-08-31 23:59:59.0<NA>211300.588909448663.426393청소년게임제공업유통관련업4<NA><NA>224.7331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
13240000CDFF224114200700000220071031200807084취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>134844서울특별시 강동구 성내동 416-4번지 1층 10호,11호서울특별시 강동구 양재대로 1367 (성내동,1층 10호,11호)<NA>해피게임장2007-10-31 16:33:56I2018-08-31 23:59:59.0<NA>211945.337917447357.590085청소년게임제공업유통관련업<NA><NA><NA>144.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFF224114200700000320071106200812184취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>134867서울특별시 강동구 천호동 288-29번지 상가건물 7호8호<NA><NA>스타게임랜드2008-11-13 15:25:51I2018-08-31 23:59:59.0<NA>211334.386337449613.806079청소년게임제공업유통관련업<NA><NA><NA>148.35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
33240000CDFF224114200800000120080211<NA>3폐업3폐업20090915<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 294-21번지서울특별시 강동구 구천면로 293 (천호동)<NA>타워청소년게임장2009-09-15 11:50:58I2018-08-31 23:59:59.0<NA>211737.987223449321.582778청소년게임제공업유통관련업<NA><NA><NA>120.18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFF224114200800000220080222<NA>3폐업3폐업20101126<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 411-1번지 지하서울특별시 강동구 양재대로 1466 (길동,지하)<NA>에어포스2010-11-26 10:40:14I2018-08-31 23:59:59.0<NA>212299.011936448285.708629청소년게임제공업유통관련업<NA><NA><NA>142.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFF224114200800000320080226200810074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>134873서울특별시 강동구 천호동 420-1번지 2층서울특별시 강동구 구천면로 201 (천호동,2층)<NA>아쿠아마린 청소년게임장2008-04-28 09:27:43I2018-08-31 23:59:59.0<NA>211173.675642448741.632322청소년게임제공업유통관련업2유흥업소밀집지역<NA>138.02<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
63240000CDFF224114200800000420080408201003314취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 500-21번지 지층서울특별시 강동구 올림픽로98길 11 (암사동,지층)<NA>조이 스토리 청소년게임장2010-03-31 19:47:08I2018-08-31 23:59:59.0<NA>211311.154031449916.218363청소년게임제공업유통관련업<NA><NA><NA>148.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
73240000CDFF224114200800000520080423<NA>3폐업3폐업20091028<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 325-1번지 2층서울특별시 강동구 구천면로 414 (명일동,2층)<NA>얼짱싱통방통2009-10-28 15:06:42I2018-08-31 23:59:59.0<NA>212713.735641449824.379573청소년게임제공업유통관련업<NA><NA><NA>44.37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
83240000CDFF224114200800000620080424<NA>3폐업3폐업20090630<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 450번지 1층서울특별시 강동구 천호대로175길 21 (길동,1층)<NA>K2게임랜드2009-07-01 10:06:19I2018-08-31 23:59:59.0<NA>212011.067809448166.552514청소년게임제공업유통관련업<NA><NA><NA>132.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
93240000CDFF22411420080000072008-05-08<NA>3폐업3폐업2023-05-16<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 343-3 지하102호서울특별시 강동구 상암로 201 (명일동,지하102호)<NA>새우주2023-05-15 10:53:51U2022-12-04 23:07:00.0<NA>212744.953147449389.071827<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1563240000CDFF224114202000000220200325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 489번지 원천빌딩서울특별시 강동구 양재대로 1396, 원천빌딩 1층 (둔촌동)5372가족오락실2020-03-25 10:27:40I2020-03-27 00:23:21.0<NA>212114.433404447600.696371청소년게임제공업유통관련업<NA><NA><NA>39.67<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1573240000CDFF224114202000000320200406<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 166-20번지 나호서울특별시 강동구 진황도로 35, 1층 나호 (천호동)5333코코짱 뽑기방2020-04-06 09:23:49I2020-04-08 00:23:21.0<NA>211513.329546448506.440031청소년게임제공업유통관련업<NA><NA><NA>26.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1583240000CDFF22411420200000042020-04-29<NA>4취소/말소/만료/정지/중지35직권말소2023-05-01<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 412-4서울특별시 강동구 천호대로157길 43 (천호동)5329인형짱2023-05-01 09:57:22U2022-12-05 00:03:00.0<NA>211203.299889448615.694274<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593240000CDFF22411420200000052020-05-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 453-18 1,5호서울특별시 강동구 천호대로157길 6, 1,5호 (천호동)5335왕오락실2023-08-14 18:50:51U2022-12-07 23:07:00.0<NA>211156.236785448427.428815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603240000CDFF224114202000000620200514<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 490-56서울특별시 강동구 상암로 83, 1층 (암사동)5265또뽑아2022-02-07 15:00:14U2022-02-09 02:40:00.0<NA>211627.268273449555.304475청소년게임제공업유통관련업0<NA><NA>22.1800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
1613240000CDFF224114202100000120210423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 490-49서울특별시 강동구 상암로 87, 101호 (암사동)5265뽑신사2021-12-21 13:56:27U2021-12-23 02:40:00.0<NA>211650.620077449544.243329청소년게임제공업유통관련업0<NA>토이즈팝23.100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA><NA>
1623240000CDFF224114202300000120230116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 453-7서울특별시 강동구 천호대로159길 25, 1층 (천호동)5335헌터박스2023-01-16 16:12:43I2022-11-30 23:08:00.0<NA>211220.108222448503.534642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633240000CDFF22411420230000022023-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 453-8 원방빌딩서울특별시 강동구 천호대로157길 18, 원방빌딩 102호 (천호동)5335대빵오락실2023-11-06 17:54:19U2022-11-01 00:08:00.0<NA>211218.957284448493.145289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643240000CDFF22411420230000032023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 166-82서울특별시 강동구 진황도로27길 14, 1층 (천호동)5337FUNNY LAND2023-10-18 03:12:26U2022-10-30 22:00:00.0<NA>211582.716182448528.531599<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653240000CDFF22411420240000012024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 425-5 대우 한강 베네시티서울특별시 강동구 올림픽로 664, 지3층 301호 (천호동, 대우 한강 베네시티)5328로바 아케이드2024-04-26 17:40:52I2023-12-03 22:08:00.0<NA>210970.757073448713.316697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>