Overview

Dataset statistics

Number of variables56
Number of observations238
Missing cells6410
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.9 KiB
Average record size in memory485.6 B

Variable types

Categorical16
Text6
DateTime4
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16832/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (54.2%)Imbalance
문화사업자구분명 is highly imbalanced (54.2%)Imbalance
건물용도명 is highly imbalanced (56.3%)Imbalance
통로너비 is highly imbalanced (90.2%)Imbalance
조명시설조도 is highly imbalanced (90.2%)Imbalance
노래방실수 is highly imbalanced (90.2%)Imbalance
청소년실수 is highly imbalanced (90.2%)Imbalance
제공게임물명 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 198 (83.2%) missing valuesMissing
폐업일자 has 98 (41.2%) missing valuesMissing
휴업시작일자 has 238 (100.0%) missing valuesMissing
휴업종료일자 has 238 (100.0%) missing valuesMissing
재개업일자 has 238 (100.0%) missing valuesMissing
전화번호 has 234 (98.3%) missing valuesMissing
소재지면적 has 238 (100.0%) missing valuesMissing
소재지우편번호 has 218 (91.6%) missing valuesMissing
도로명우편번호 has 93 (39.1%) missing valuesMissing
업태구분명 has 238 (100.0%) missing valuesMissing
총층수 has 159 (66.8%) missing valuesMissing
제작취급품목내용 has 135 (56.7%) missing valuesMissing
시설면적 has 23 (9.7%) missing valuesMissing
지상층수 has 160 (67.2%) missing valuesMissing
지하층수 has 168 (70.6%) missing valuesMissing
비상계단여부 has 238 (100.0%) missing valuesMissing
비상구여부 has 238 (100.0%) missing valuesMissing
자동환기여부 has 238 (100.0%) missing valuesMissing
청소년실여부 has 238 (100.0%) missing valuesMissing
특수조명여부 has 238 (100.0%) missing valuesMissing
방음시설여부 has 238 (100.0%) missing valuesMissing
비디오재생기명 has 238 (100.0%) missing valuesMissing
조명시설유무 has 238 (100.0%) missing valuesMissing
음향시설여부 has 238 (100.0%) missing valuesMissing
편의시설여부 has 238 (100.0%) missing valuesMissing
소방시설여부 has 238 (100.0%) missing valuesMissing
총게임기수 has 160 (67.2%) missing valuesMissing
기존게임업외업종명 has 238 (100.0%) missing valuesMissing
공연장형태구분명 has 238 (100.0%) missing valuesMissing
품목명 has 238 (100.0%) missing valuesMissing
최초등록시점 has 238 (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 (1.3%) zerosZeros
지상층수 has 3 (1.3%) zerosZeros
지하층수 has 4 (1.7%) zerosZeros
총게임기수 has 3 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-18 00:11:28.605741
Analysis finished2024-05-18 00:11:30.605228
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3150000
238 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 238
100.0%

Length

2024-05-18T09:11:30.789156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:31.040395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 238
100.0%

관리번호
Text

UNIQUE 

Distinct238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-18T09:11:31.555013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4760
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

Unique238 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142007000004
5th rowCDFF2241142007000005
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.4%
cdff2241142017000037 1
 
0.4%
cdff2241142017000039 1
 
0.4%
cdff2241142017000026 1
 
0.4%
cdff2241142017000027 1
 
0.4%
cdff2241142017000028 1
 
0.4%
cdff2241142017000029 1
 
0.4%
cdff2241142017000030 1
 
0.4%
cdff2241142017000031 1
 
0.4%
cdff2241142017000032 1
 
0.4%
Other values (228) 228
95.8%
2024-05-18T09:11:32.569235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1422
29.9%
2 794
16.7%
1 712
15.0%
4 526
 
11.1%
F 476
 
10.0%
C 238
 
5.0%
D 238
 
5.0%
7 84
 
1.8%
9 80
 
1.7%
8 62
 
1.3%
Other values (3) 128
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3808
80.0%
Uppercase Letter 952
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1422
37.3%
2 794
20.9%
1 712
18.7%
4 526
 
13.8%
7 84
 
2.2%
9 80
 
2.1%
8 62
 
1.6%
3 58
 
1.5%
5 39
 
1.0%
6 31
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 476
50.0%
C 238
25.0%
D 238
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3808
80.0%
Latin 952
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1422
37.3%
2 794
20.9%
1 712
18.7%
4 526
 
13.8%
7 84
 
2.2%
9 80
 
2.1%
8 62
 
1.6%
3 58
 
1.5%
5 39
 
1.0%
6 31
 
0.8%
Latin
ValueCountFrequency (%)
F 476
50.0%
C 238
25.0%
D 238
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1422
29.9%
2 794
16.7%
1 712
15.0%
4 526
 
11.1%
F 476
 
10.0%
C 238
 
5.0%
D 238
 
5.0%
7 84
 
1.8%
9 80
 
1.7%
8 62
 
1.3%
Other values (3) 128
 
2.7%

인허가일자
Date

Distinct212
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2007-08-01 00:00:00
Maximum2024-04-09 00:00:00
2024-05-18T09:11:33.224966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:11:33.926305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)95.0%
Missing198
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean20110148
Minimum20090109
Maximum20200128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:34.503495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090109
5-th percentile20090294
Q120097904
median20100611
Q320115804
95-th percentile20142492
Maximum20200128
Range110019
Interquartile range (IQR)17900.5

Descriptive statistics

Standard deviation24370.217
Coefficient of variation (CV)0.0012118368
Kurtosis4.0094084
Mean20110148
Median Absolute Deviation (MAD)9696.5
Skewness1.9232905
Sum8.0440591 × 108
Variance5.939075 × 108
MonotonicityNot monotonic
2024-05-18T09:11:35.112326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20100611 3
 
1.3%
20100604 1
 
0.4%
20110310 1
 
0.4%
20100809 1
 
0.4%
20100702 1
 
0.4%
20101104 1
 
0.4%
20101119 1
 
0.4%
20111001 1
 
0.4%
20130215 1
 
0.4%
20130805 1
 
0.4%
Other values (28) 28
 
11.8%
(Missing) 198
83.2%
ValueCountFrequency (%)
20090109 1
0.4%
20090120 1
0.4%
20090303 1
0.4%
20090727 1
0.4%
20090805 1
0.4%
20090813 1
0.4%
20090817 1
0.4%
20090914 1
0.4%
20090915 1
0.4%
20091229 1
0.4%
ValueCountFrequency (%)
20200128 1
0.4%
20170706 1
0.4%
20141007 1
0.4%
20141006 1
0.4%
20140804 1
0.4%
20140730 1
0.4%
20140714 1
0.4%
20130805 1
0.4%
20130710 1
0.4%
20130215 1
0.4%

영업상태코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
116 
4
65 
1
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 116
48.7%
4 65
27.3%
1 57
23.9%

Length

2024-05-18T09:11:35.768824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:36.148583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 116
48.7%
4 65
27.3%
1 57
23.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
116 
취소/말소/만료/정지/중지
65 
영업/정상
57 

Length

Max length14
Median length5
Mean length5.9957983
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 116
48.7%
취소/말소/만료/정지/중지 65
27.3%
영업/정상 57
23.9%

Length

2024-05-18T09:11:36.602652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:37.009907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 116
48.7%
취소/말소/만료/정지/중지 65
27.3%
영업/정상 57
23.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
116 
13
57 
31
41 
35
24 

Length

Max length2
Median length2
Mean length1.512605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 116
48.7%
13 57
23.9%
31 41
 
17.2%
35 24
 
10.1%

Length

2024-05-18T09:11:37.384475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:37.721753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 116
48.7%
13 57
23.9%
31 41
 
17.2%
35 24
 
10.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
116 
영업중
57 
등록취소
41 
직권말소
24 

Length

Max length4
Median length3
Mean length2.7857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 116
48.7%
영업중 57
23.9%
등록취소 41
 
17.2%
직권말소 24
 
10.1%

Length

2024-05-18T09:11:38.200742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:38.524907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 116
48.7%
영업중 57
23.9%
등록취소 41
 
17.2%
직권말소 24
 
10.1%

폐업일자
Date

MISSING 

Distinct117
Distinct (%)83.6%
Missing98
Missing (%)41.2%
Memory size2.0 KiB
Minimum2008-05-08 00:00:00
Maximum2024-04-03 00:00:00
2024-05-18T09:11:38.880126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:11:39.302415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing234
Missing (%)98.3%
Memory size2.0 KiB
2024-05-18T09:11:39.667048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length7
Min length1

Characters and Unicode

Total characters28
Distinct characters9
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

Unique4 ?
Unique (%)100.0%

Sample

1st row2063-2222
2nd row3662-8032
3rd row2662-9718
4th row-
ValueCountFrequency (%)
2063-2222 1
25.0%
3662-8032 1
25.0%
2662-9718 1
25.0%
1
25.0%
2024-05-18T09:11:40.430891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
32.1%
6 5
17.9%
- 4
14.3%
3 3
 
10.7%
0 2
 
7.1%
8 2
 
7.1%
9 1
 
3.6%
7 1
 
3.6%
1 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 (%)
2 9
37.5%
6 5
20.8%
3 3
 
12.5%
0 2
 
8.3%
8 2
 
8.3%
9 1
 
4.2%
7 1
 
4.2%
1 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
32.1%
6 5
17.9%
- 4
14.3%
3 3
 
10.7%
0 2
 
7.1%
8 2
 
7.1%
9 1
 
3.6%
7 1
 
3.6%
1 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
32.1%
6 5
17.9%
- 4
14.3%
3 3
 
10.7%
0 2
 
7.1%
8 2
 
7.1%
9 1
 
3.6%
7 1
 
3.6%
1 1
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing218
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean157815.1
Minimum157010
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:40.817341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157266.5
Q1157848.25
median157910
Q3157910
95-th percentile157924.2
Maximum157928
Range918
Interquartile range (IQR)61.75

Descriptive statistics

Standard deviation235.99931
Coefficient of variation (CV)0.0014954165
Kurtosis8.1815273
Mean157815.1
Median Absolute Deviation (MAD)13.5
Skewness-2.9506484
Sum3156302
Variance55695.674
MonotonicityNot monotonic
2024-05-18T09:11:41.185354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
157910 7
 
2.9%
157918 2
 
0.8%
157280 1
 
0.4%
157823 1
 
0.4%
157849 1
 
0.4%
157883 1
 
0.4%
157928 1
 
0.4%
157846 1
 
0.4%
157897 1
 
0.4%
157805 1
 
0.4%
Other values (3) 3
 
1.3%
(Missing) 218
91.6%
ValueCountFrequency (%)
157010 1
 
0.4%
157280 1
 
0.4%
157805 1
 
0.4%
157823 1
 
0.4%
157846 1
 
0.4%
157849 1
 
0.4%
157851 1
 
0.4%
157883 1
 
0.4%
157897 1
 
0.4%
157910 7
2.9%
ValueCountFrequency (%)
157928 1
 
0.4%
157924 1
 
0.4%
157918 2
 
0.8%
157910 7
2.9%
157897 1
 
0.4%
157883 1
 
0.4%
157851 1
 
0.4%
157849 1
 
0.4%
157846 1
 
0.4%
157823 1
 
0.4%

지번주소
Text

Distinct233
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-18T09:11:41.664984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length27.903361
Min length18

Characters and Unicode

Total characters6641
Distinct characters145
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)95.8%

Sample

1st row서울특별시 강서구 화곡동 359-54번지 동성빌딩 지1층(월정안길104)
2nd row서울특별시 강서구 내발산동 653번지 솔레드림상가2층 206호
3rd row서울특별시 강서구 화곡동 1006-13번지 3층
4th row서울특별시 강서구 과해동 676번지 3층(김포공항 이마트 내)
5th row서울특별시 강서구 방화동 450-15번지 101~102호
ValueCountFrequency (%)
서울특별시 238
19.8%
강서구 238
19.8%
화곡동 150
 
12.5%
2층 37
 
3.1%
방화동 29
 
2.4%
마곡동 29
 
2.4%
1층 25
 
2.1%
지층 20
 
1.7%
등촌동 10
 
0.8%
3층 10
 
0.8%
Other values (324) 418
34.7%
2024-05-18T09:11:43.016407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1168
 
17.6%
서 490
 
7.4%
1 311
 
4.7%
동 249
 
3.7%
강 243
 
3.7%
울 241
 
3.6%
시 241
 
3.6%
구 239
 
3.6%
별 238
 
3.6%
특 238
 
3.6%
Other values (135) 2983
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3689
55.5%
Decimal Number 1413
 
21.3%
Space Separator 1168
 
17.6%
Dash Punctuation 232
 
3.5%
Close Punctuation 61
 
0.9%
Open Punctuation 61
 
0.9%
Math Symbol 9
 
0.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 490
13.3%
동 249
 
6.7%
강 243
 
6.6%
울 241
 
6.5%
시 241
 
6.5%
구 239
 
6.5%
별 238
 
6.5%
특 238
 
6.5%
지 217
 
5.9%
곡 195
 
5.3%
Other values (114) 1098
29.8%
Decimal Number
ValueCountFrequency (%)
1 311
22.0%
2 198
14.0%
3 152
10.8%
7 145
10.3%
9 130
9.2%
0 117
 
8.3%
6 111
 
7.9%
5 106
 
7.5%
4 81
 
5.7%
8 62
 
4.4%
Math Symbol
ValueCountFrequency (%)
> 4
44.4%
< 4
44.4%
~ 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
1168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3689
55.5%
Common 2948
44.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 490
13.3%
동 249
 
6.7%
강 243
 
6.6%
울 241
 
6.5%
시 241
 
6.5%
구 239
 
6.5%
별 238
 
6.5%
특 238
 
6.5%
지 217
 
5.9%
곡 195
 
5.3%
Other values (114) 1098
29.8%
Common
ValueCountFrequency (%)
1168
39.6%
1 311
 
10.5%
- 232
 
7.9%
2 198
 
6.7%
3 152
 
5.2%
7 145
 
4.9%
9 130
 
4.4%
0 117
 
4.0%
6 111
 
3.8%
5 106
 
3.6%
Other values (8) 278
 
9.4%
Latin
ValueCountFrequency (%)
B 2
50.0%
Ⅰ 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3689
55.5%
ASCII 2951
44.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1168
39.6%
1 311
 
10.5%
- 232
 
7.9%
2 198
 
6.7%
3 152
 
5.2%
7 145
 
4.9%
9 130
 
4.4%
0 117
 
4.0%
6 111
 
3.8%
5 106
 
3.6%
Other values (10) 281
 
9.5%
Hangul
ValueCountFrequency (%)
서 490
13.3%
동 249
 
6.7%
강 243
 
6.6%
울 241
 
6.5%
시 241
 
6.5%
구 239
 
6.5%
별 238
 
6.5%
특 238
 
6.5%
지 217
 
5.9%
곡 195
 
5.3%
Other values (114) 1098
29.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

Distinct231
Distinct (%)97.9%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2024-05-18T09:11:43.569513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length33.165254
Min length22

Characters and Unicode

Total characters7827
Distinct characters155
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)95.8%

Sample

1st row서울특별시 강서구 가로공원로76길 100 (화곡동,동성빌딩 지1층(월정안길104))
2nd row서울특별시 강서구 강서로 360 (내발산동,솔레드림상가2층 206호)
3rd row서울특별시 강서구 강서로45가길 19 (화곡동,3층)
4th row서울특별시 강서구 양천로 73 (방화동,101~102호)
5th row서울특별시 강서구 월정로 136 (화곡동,1층)
ValueCountFrequency (%)
서울특별시 236
 
16.4%
강서구 236
 
16.4%
화곡동 95
 
6.6%
1층 53
 
3.7%
강서로5나길 26
 
1.8%
마곡동 25
 
1.7%
강서로 24
 
1.7%
곰달래로 22
 
1.5%
2층 22
 
1.5%
방화동 18
 
1.3%
Other values (352) 678
47.2%
2024-05-18T09:11:44.594027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1279
 
16.3%
서 558
 
7.1%
1 369
 
4.7%
강 311
 
4.0%
) 295
 
3.8%
( 295
 
3.8%
로 267
 
3.4%
동 267
 
3.4%
, 245
 
3.1%
울 241
 
3.1%
Other values (145) 3700
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4419
56.5%
Space Separator 1279
 
16.3%
Decimal Number 1245
 
15.9%
Close Punctuation 295
 
3.8%
Open Punctuation 295
 
3.8%
Other Punctuation 245
 
3.1%
Dash Punctuation 30
 
0.4%
Math Symbol 9
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 558
 
12.6%
강 311
 
7.0%
로 267
 
6.0%
동 267
 
6.0%
울 241
 
5.5%
시 238
 
5.4%
화 237
 
5.4%
구 237
 
5.4%
별 236
 
5.3%
특 236
 
5.3%
Other values (123) 1591
36.0%
Decimal Number
ValueCountFrequency (%)
1 369
29.6%
2 179
14.4%
3 121
 
9.7%
5 104
 
8.4%
6 99
 
8.0%
0 97
 
7.8%
4 86
 
6.9%
7 82
 
6.6%
9 59
 
4.7%
8 49
 
3.9%
Math Symbol
ValueCountFrequency (%)
> 4
44.4%
< 4
44.4%
~ 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
62.5%
A 3
37.5%
Space Separator
ValueCountFrequency (%)
1279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Other Punctuation
ValueCountFrequency (%)
, 245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4419
56.5%
Common 3398
43.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 558
 
12.6%
강 311
 
7.0%
로 267
 
6.0%
동 267
 
6.0%
울 241
 
5.5%
시 238
 
5.4%
화 237
 
5.4%
구 237
 
5.4%
별 236
 
5.3%
특 236
 
5.3%
Other values (123) 1591
36.0%
Common
ValueCountFrequency (%)
1279
37.6%
1 369
 
10.9%
) 295
 
8.7%
( 295
 
8.7%
, 245
 
7.2%
2 179
 
5.3%
3 121
 
3.6%
5 104
 
3.1%
6 99
 
2.9%
0 97
 
2.9%
Other values (8) 315
 
9.3%
Latin
ValueCountFrequency (%)
B 5
50.0%
A 3
30.0%
b 1
 
10.0%
Ⅰ 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4419
56.5%
ASCII 3407
43.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1279
37.5%
1 369
 
10.8%
) 295
 
8.7%
( 295
 
8.7%
, 245
 
7.2%
2 179
 
5.3%
3 121
 
3.6%
5 104
 
3.1%
6 99
 
2.9%
0 97
 
2.8%
Other values (11) 324
 
9.5%
Hangul
ValueCountFrequency (%)
서 558
 
12.6%
강 311
 
7.0%
로 267
 
6.0%
동 267
 
6.0%
울 241
 
5.5%
시 238
 
5.4%
화 237
 
5.4%
구 237
 
5.4%
별 236
 
5.3%
특 236
 
5.3%
Other values (123) 1591
36.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)50.3%
Missing93
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean23255.207
Minimum7547
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:45.037817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7547
5-th percentile7603
Q17657
median7760
Q37788
95-th percentile157910
Maximum157928
Range150381
Interquartile range (IQR)131

Descriptive statistics

Standard deviation45895.536
Coefficient of variation (CV)1.9735596
Kurtosis4.9936536
Mean23255.207
Median Absolute Deviation (MAD)43
Skewness2.6315269
Sum3372005
Variance2.1064003 × 109
MonotonicityNot monotonic
2024-05-18T09:11:45.567931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7803 15
 
6.3%
7788 7
 
2.9%
7780 6
 
2.5%
7604 6
 
2.5%
157910 5
 
2.1%
7775 4
 
1.7%
7654 4
 
1.7%
7738 4
 
1.7%
7756 4
 
1.7%
7776 3
 
1.3%
Other values (63) 87
36.6%
(Missing) 93
39.1%
ValueCountFrequency (%)
7547 1
 
0.4%
7556 1
 
0.4%
7567 1
 
0.4%
7571 1
 
0.4%
7591 1
 
0.4%
7595 1
 
0.4%
7602 1
 
0.4%
7603 2
 
0.8%
7604 6
2.5%
7606 3
1.3%
ValueCountFrequency (%)
157928 1
 
0.4%
157918 2
 
0.8%
157914 1
 
0.4%
157910 5
2.1%
157909 1
 
0.4%
157902 1
 
0.4%
157900 1
 
0.4%
157884 1
 
0.4%
157882 1
 
0.4%
157812 1
 
0.4%

사업장명
Text

Distinct198
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-18T09:11:46.128373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length17
Mean length6.0546218
Min length2

Characters and Unicode

Total characters1441
Distinct characters242
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

Unique172 ?
Unique (%)72.3%

Sample

1st row플레이존
2nd row플레이존 플스방
3rd row메가플스 우장산점
4th row(주) 시뮬라인JoyBox1호점
5th row오리날다
ValueCountFrequency (%)
게임랜드 12
 
4.3%
뽀끼뽀끼 4
 
1.4%
종합게임랜드 4
 
1.4%
스카이게임랜드 4
 
1.4%
스마일뽑기샵 3
 
1.1%
오락실 3
 
1.1%
뽑고또뽑고 3
 
1.1%
노라존 3
 
1.1%
인형뽑기방 3
 
1.1%
팡팡게임랜드 3
 
1.1%
Other values (202) 240
85.1%
2024-05-18T09:11:46.991600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 120
 
8.3%
임 120
 
8.3%
드 85
 
5.9%
랜 76
 
5.3%
뽑 55
 
3.8%
44
 
3.1%
장 43
 
3.0%
기 39
 
2.7%
스 30
 
2.1%
방 29
 
2.0%
Other values (232) 800
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1234
85.6%
Uppercase Letter 106
 
7.4%
Space Separator 44
 
3.1%
Lowercase Letter 32
 
2.2%
Decimal Number 10
 
0.7%
Other Punctuation 6
 
0.4%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 120
 
9.7%
임 120
 
9.7%
드 85
 
6.9%
랜 76
 
6.2%
뽑 55
 
4.5%
장 43
 
3.5%
기 39
 
3.2%
스 30
 
2.4%
방 29
 
2.4%
이 20
 
1.6%
Other values (185) 617
50.0%
Uppercase Letter
ValueCountFrequency (%)
O 15
14.2%
N 11
 
10.4%
F 6
 
5.7%
B 6
 
5.7%
Y 6
 
5.7%
S 6
 
5.7%
E 6
 
5.7%
P 5
 
4.7%
M 5
 
4.7%
A 5
 
4.7%
Other values (14) 35
33.0%
Lowercase Letter
ValueCountFrequency (%)
n 8
25.0%
o 5
15.6%
u 4
12.5%
y 4
12.5%
e 3
 
9.4%
h 2
 
6.2%
z 1
 
3.1%
f 1
 
3.1%
a 1
 
3.1%
p 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
8 2
20.0%
6 2
20.0%
5 2
20.0%
1 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1234
85.6%
Latin 138
 
9.6%
Common 69
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 120
 
9.7%
임 120
 
9.7%
드 85
 
6.9%
랜 76
 
6.2%
뽑 55
 
4.5%
장 43
 
3.5%
기 39
 
3.2%
스 30
 
2.4%
방 29
 
2.4%
이 20
 
1.6%
Other values (185) 617
50.0%
Latin
ValueCountFrequency (%)
O 15
 
10.9%
N 11
 
8.0%
n 8
 
5.8%
F 6
 
4.3%
B 6
 
4.3%
Y 6
 
4.3%
S 6
 
4.3%
E 6
 
4.3%
P 5
 
3.6%
o 5
 
3.6%
Other values (26) 64
46.4%
Common
ValueCountFrequency (%)
44
63.8%
. 4
 
5.8%
) 4
 
5.8%
( 4
 
5.8%
3 3
 
4.3%
& 2
 
2.9%
8 2
 
2.9%
6 2
 
2.9%
5 2
 
2.9%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1234
85.6%
ASCII 207
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 120
 
9.7%
임 120
 
9.7%
드 85
 
6.9%
랜 76
 
6.2%
뽑 55
 
4.5%
장 43
 
3.5%
기 39
 
3.2%
스 30
 
2.4%
방 29
 
2.4%
이 20
 
1.6%
Other values (185) 617
50.0%
ASCII
ValueCountFrequency (%)
44
21.3%
O 15
 
7.2%
N 11
 
5.3%
n 8
 
3.9%
F 6
 
2.9%
B 6
 
2.9%
Y 6
 
2.9%
S 6
 
2.9%
E 6
 
2.9%
P 5
 
2.4%
Other values (37) 94
45.4%

최종수정일자
Date

UNIQUE 

Distinct238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2008-08-26 13:24:28
Maximum2024-04-22 15:08:27
2024-05-18T09:11:47.416457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:11:48.118758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
156 
U
82 

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 156
65.5%
U 82
34.5%

Length

2024-05-18T09:11:48.654451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:48.983004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 156
65.5%
u 82
34.5%

데이터갱신일자
Date

Distinct78
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-18T09:11:49.310600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:11:49.743412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct179
Distinct (%)75.5%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean185773.25
Minimum182141.21
Maximum189098.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:50.355283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182141.21
5-th percentile183267.34
Q1185373.88
median185794.42
Q3186572.27
95-th percentile187854.93
Maximum189098.81
Range6957.6013
Interquartile range (IQR)1198.3946

Descriptive statistics

Standard deviation1368.9286
Coefficient of variation (CV)0.0073688147
Kurtosis-0.015389698
Mean185773.25
Median Absolute Deviation (MAD)567.28361
Skewness-0.38840275
Sum44028260
Variance1873965.6
MonotonicityNot monotonic
2024-05-18T09:11:50.916515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186060.38913617 6
 
2.5%
186029.723926037 5
 
2.1%
185478.109095782 4
 
1.7%
185997.249331005 4
 
1.7%
185300.543275716 3
 
1.3%
185553.0 3
 
1.3%
187868.192160081 3
 
1.3%
185365.0 3
 
1.3%
185598.520826489 3
 
1.3%
185985.724342556 3
 
1.3%
Other values (169) 200
84.0%
ValueCountFrequency (%)
182141.205465089 1
0.4%
182735.786874703 1
0.4%
183134.562493007 1
0.4%
183147.50519545 2
0.8%
183163.062623427 2
0.8%
183171.645168181 1
0.4%
183223.015390259 1
0.4%
183234.666586664 2
0.8%
183242.728127172 1
0.4%
183273.48922832 1
0.4%
ValueCountFrequency (%)
189098.806779959 1
 
0.4%
188951.80143117 1
 
0.4%
188890.131054488 1
 
0.4%
188870.663928731 1
 
0.4%
187999.32555627 1
 
0.4%
187952.560027898 1
 
0.4%
187888.376453234 2
0.8%
187868.192160081 3
1.3%
187855.254782404 1
 
0.4%
187854.849416436 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct179
Distinct (%)75.5%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean449324.78
Minimum447316.21
Maximum452402.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:51.540578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447316.21
5-th percentile447330.82
Q1447745.2
median449151.71
Q3450790.37
95-th percentile452093.21
Maximum452402.24
Range5086.0233
Interquartile range (IQR)3045.1663

Descriptive statistics

Standard deviation1669.66
Coefficient of variation (CV)0.0037159313
Kurtosis-1.3619488
Mean449324.78
Median Absolute Deviation (MAD)1517.4691
Skewness0.3019888
Sum1.0648997 × 108
Variance2787764.5
MonotonicityNot monotonic
2024-05-18T09:11:51.973366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447330.821264356 6
 
2.5%
447381.645907113 5
 
2.1%
449151.714759043 4
 
1.7%
447326.548615694 4
 
1.7%
448627.739755483 3
 
1.3%
450880.0 3
 
1.3%
447679.060113622 3
 
1.3%
450789.0 3
 
1.3%
447669.300046933 3
 
1.3%
447378.933088235 3
 
1.3%
Other values (169) 200
84.0%
ValueCountFrequency (%)
447316.214981355 2
 
0.8%
447323.008024977 1
 
0.4%
447326.548615694 4
1.7%
447328.54126812 2
 
0.8%
447330.821264356 6
2.5%
447332.601844375 1
 
0.4%
447360.483643506 1
 
0.4%
447363.072451625 1
 
0.4%
447363.383938393 1
 
0.4%
447378.933088235 3
1.3%
ValueCountFrequency (%)
452402.238297341 1
0.4%
452352.196018223 1
0.4%
452344.725727774 1
0.4%
452316.316553843 1
0.4%
452279.779157122 1
0.4%
452279.086331346 2
0.8%
452274.374669005 1
0.4%
452266.510498741 2
0.8%
452204.165533971 1
0.4%
452154.415274655 1
0.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
청소년게임제공업
215 
<NA>
23 

Length

Max length8
Median length8
Mean length7.6134454
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 215
90.3%
<NA> 23
 
9.7%

Length

2024-05-18T09:11:52.457385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:52.918296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 215
90.3%
na 23
 
9.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
유통관련업
215 
<NA>
23 

Length

Max length5
Median length5
Mean length4.9033613
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 215
90.3%
<NA> 23
 
9.7%

Length

2024-05-18T09:11:53.328651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:53.755933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 215
90.3%
na 23
 
9.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)17.7%
Missing159
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean5.835443
Minimum0
Maximum24
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:54.083690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q36
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.4848188
Coefficient of variation (CV)0.76854812
Kurtosis5.1714999
Mean5.835443
Median Absolute Deviation (MAD)1
Skewness2.1417333
Sum461
Variance20.113599
MonotonicityNot monotonic
2024-05-18T09:11:54.479970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 22
 
9.2%
5 18
 
7.6%
6 6
 
2.5%
8 5
 
2.1%
19 4
 
1.7%
1 4
 
1.7%
3 4
 
1.7%
9 3
 
1.3%
2 3
 
1.3%
7 3
 
1.3%
Other values (4) 7
 
2.9%
(Missing) 159
66.8%
ValueCountFrequency (%)
0 3
 
1.3%
1 4
 
1.7%
2 3
 
1.3%
3 4
 
1.7%
4 22
9.2%
5 18
7.6%
6 6
 
2.5%
7 3
 
1.3%
8 5
 
2.1%
9 3
 
1.3%
ValueCountFrequency (%)
24 1
 
0.4%
19 4
 
1.7%
13 2
 
0.8%
11 1
 
0.4%
9 3
 
1.3%
8 5
 
2.1%
7 3
 
1.3%
6 6
 
2.5%
5 18
7.6%
4 22
9.2%

주변환경명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
172 
기타
56 
유흥업소밀집지역
 
9
주택가주변
 
1

Length

Max length8
Median length4
Mean length3.6848739
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
72.3%
기타 56
 
23.5%
유흥업소밀집지역 9
 
3.8%
주택가주변 1
 
0.4%

Length

2024-05-18T09:11:54.961820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:11:55.496879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
72.3%
기타 56
 
23.5%
유흥업소밀집지역 9
 
3.8%
주택가주변 1
 
0.4%

제작취급품목내용
Text

MISSING 

Distinct98
Distinct (%)95.1%
Missing135
Missing (%)56.7%
Memory size2.0 KiB
2024-05-18T09:11:56.017517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length28
Mean length15.446602
Min length2

Characters and Unicode

Total characters1591
Distinct characters235
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)90.3%

Sample

1st row씨어택(제AR-090722-003호)
2nd row씨랜드
3rd row블루(CC-NA-091028-001)
4th row배틀오션
5th row몰리일대기 (AR-090128-001)
ValueCountFrequency (%)
코코짱 8
 
3.4%
스마일토이 5
 
2.2%
스마일스토리2 5
 
2.2%
레인보우 4
 
1.7%
토이즈팝 4
 
1.7%
곰탱이 3
 
1.3%
sea 3
 
1.3%
뽀끼뽀끼2 3
 
1.3%
마트크레인 3
 
1.3%
플러스크레인 3
 
1.3%
Other values (169) 191
82.3%
2024-05-18T09:11:57.349524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
8.1%
0 72
 
4.5%
, 69
 
4.3%
스 59
 
3.7%
이 48
 
3.0%
- 43
 
2.7%
( 38
 
2.4%
) 38
 
2.4%
2 35
 
2.2%
1 32
 
2.0%
Other values (225) 1028
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 841
52.9%
Decimal Number 214
 
13.5%
Space Separator 129
 
8.1%
Uppercase Letter 123
 
7.7%
Lowercase Letter 95
 
6.0%
Other Punctuation 69
 
4.3%
Dash Punctuation 43
 
2.7%
Open Punctuation 38
 
2.4%
Close Punctuation 38
 
2.4%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 59
 
7.0%
이 48
 
5.7%
마 26
 
3.1%
토 25
 
3.0%
레 24
 
2.9%
일 23
 
2.7%
인 21
 
2.5%
코 18
 
2.1%
트 18
 
2.1%
크 17
 
2.0%
Other values (167) 562
66.8%
Uppercase Letter
ValueCountFrequency (%)
A 23
18.7%
C 20
16.3%
R 13
10.6%
N 8
 
6.5%
S 8
 
6.5%
E 6
 
4.9%
T 5
 
4.1%
B 4
 
3.3%
L 4
 
3.3%
K 4
 
3.3%
Other values (12) 28
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 13
13.7%
a 11
11.6%
n 9
 
9.5%
o 7
 
7.4%
h 7
 
7.4%
s 6
 
6.3%
r 5
 
5.3%
l 4
 
4.2%
p 4
 
4.2%
i 4
 
4.2%
Other values (10) 25
26.3%
Decimal Number
ValueCountFrequency (%)
0 72
33.6%
2 35
16.4%
1 32
15.0%
9 20
 
9.3%
4 16
 
7.5%
5 10
 
4.7%
7 9
 
4.2%
8 8
 
3.7%
6 7
 
3.3%
3 5
 
2.3%
Space Separator
ValueCountFrequency (%)
129
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 841
52.9%
Common 531
33.4%
Latin 219
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 59
 
7.0%
이 48
 
5.7%
마 26
 
3.1%
토 25
 
3.0%
레 24
 
2.9%
일 23
 
2.7%
인 21
 
2.5%
코 18
 
2.1%
트 18
 
2.1%
크 17
 
2.0%
Other values (167) 562
66.8%
Latin
ValueCountFrequency (%)
A 23
 
10.5%
C 20
 
9.1%
R 13
 
5.9%
e 13
 
5.9%
a 11
 
5.0%
n 9
 
4.1%
N 8
 
3.7%
S 8
 
3.7%
o 7
 
3.2%
h 7
 
3.2%
Other values (33) 100
45.7%
Common
ValueCountFrequency (%)
129
24.3%
0 72
13.6%
, 69
13.0%
- 43
 
8.1%
( 38
 
7.2%
) 38
 
7.2%
2 35
 
6.6%
1 32
 
6.0%
9 20
 
3.8%
4 16
 
3.0%
Other values (5) 39
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 841
52.9%
ASCII 749
47.1%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
17.2%
0 72
 
9.6%
, 69
 
9.2%
- 43
 
5.7%
( 38
 
5.1%
) 38
 
5.1%
2 35
 
4.7%
1 32
 
4.3%
A 23
 
3.1%
9 20
 
2.7%
Other values (47) 250
33.4%
Hangul
ValueCountFrequency (%)
스 59
 
7.0%
이 48
 
5.7%
마 26
 
3.1%
토 25
 
3.0%
레 24
 
2.9%
일 23
 
2.7%
인 21
 
2.5%
코 18
 
2.1%
트 18
 
2.1%
크 17
 
2.0%
Other values (167) 562
66.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct177
Distinct (%)82.3%
Missing23
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean432.24363
Minimum9
Maximum70965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:57.906838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19.8
Q142.81
median99.16
Q3142.09
95-th percentile215.877
Maximum70965
Range70956
Interquartile range (IQR)99.28

Descriptive statistics

Standard deviation4833.3943
Coefficient of variation (CV)11.182107
Kurtosis214.88774
Mean432.24363
Median Absolute Deviation (MAD)49.32
Skewness14.657175
Sum92932.38
Variance23361701
MonotonicityNot monotonic
2024-05-18T09:11:58.468828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
2.1%
130.0 4
 
1.7%
142.09 4
 
1.7%
192.78 3
 
1.3%
45.0 3
 
1.3%
30.0 3
 
1.3%
105.0 3
 
1.3%
40.0 2
 
0.8%
19.8 2
 
0.8%
23.0 2
 
0.8%
Other values (167) 184
77.3%
(Missing) 23
 
9.7%
ValueCountFrequency (%)
9.0 1
0.4%
12.81 1
0.4%
16.5 1
0.4%
16.83 1
0.4%
17.0 1
0.4%
18.0 1
0.4%
18.7 1
0.4%
19.33 1
0.4%
19.5 1
0.4%
19.64 1
0.4%
ValueCountFrequency (%)
70965.0 1
0.4%
752.37 1
0.4%
347.0 1
0.4%
297.64 1
0.4%
270.99 1
0.4%
258.31 1
0.4%
254.53 1
0.4%
248.2 1
0.4%
245.7 1
0.4%
239.39 1
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)16.7%
Missing160
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean4.8076923
Minimum0
Maximum24
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:58.864084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile15
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.98066
Coefficient of variation (CV)0.82797729
Kurtosis7.3941197
Mean4.8076923
Median Absolute Deviation (MAD)1
Skewness2.4063133
Sum375
Variance15.845654
MonotonicityNot monotonic
2024-05-18T09:11:59.333315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 22
 
9.2%
4 18
 
7.6%
5 6
 
2.5%
1 5
 
2.1%
2 5
 
2.1%
7 5
 
2.1%
15 4
 
1.7%
6 4
 
1.7%
0 3
 
1.3%
12 2
 
0.8%
Other values (3) 4
 
1.7%
(Missing) 160
67.2%
ValueCountFrequency (%)
0 3
 
1.3%
1 5
 
2.1%
2 5
 
2.1%
3 22
9.2%
4 18
7.6%
5 6
 
2.5%
6 4
 
1.7%
7 5
 
2.1%
8 2
 
0.8%
9 1
 
0.4%
ValueCountFrequency (%)
24 1
 
0.4%
15 4
 
1.7%
12 2
 
0.8%
9 1
 
0.4%
8 2
 
0.8%
7 5
 
2.1%
6 4
 
1.7%
5 6
 
2.5%
4 18
7.6%
3 22
9.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.6%
Missing168
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean1.2142857
Minimum0
Maximum5
Zeros4
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:11:59.710073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q11
median1
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.91513612
Coefficient of variation (CV)0.75364151
Kurtosis7.3613925
Mean1.2142857
Median Absolute Deviation (MAD)0
Skewness2.708991
Sum85
Variance0.83747412
MonotonicityNot monotonic
2024-05-18T09:12:00.212738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 59
 
24.8%
4 4
 
1.7%
0 4
 
1.7%
5 1
 
0.4%
3 1
 
0.4%
2 1
 
0.4%
(Missing) 168
70.6%
ValueCountFrequency (%)
0 4
 
1.7%
1 59
24.8%
2 1
 
0.4%
3 1
 
0.4%
4 4
 
1.7%
5 1
 
0.4%
ValueCountFrequency (%)
5 1
 
0.4%
4 4
 
1.7%
3 1
 
0.4%
2 1
 
0.4%
1 59
24.8%
0 4
 
1.7%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
164 
근린생활시설
70 
유통시설
 
2
호텔
 
1
아파트
 
1

Length

Max length6
Median length4
Mean length4.5756303
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
68.9%
근린생활시설 70
29.4%
유통시설 2
 
0.8%
호텔 1
 
0.4%
아파트 1
 
0.4%

Length

2024-05-18T09:12:00.694503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:01.063376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
68.9%
근린생활시설 70
29.4%
유통시설 2
 
0.8%
호텔 1
 
0.4%
아파트 1
 
0.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
235 
0
 
3

Length

Max length4
Median length4
Mean length3.9621849
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> 235
98.7%
0 3
 
1.3%

Length

2024-05-18T09:12:01.446268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:01.746514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
98.7%
0 3
 
1.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
235 
0
 
3

Length

Max length4
Median length4
Mean length3.9621849
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> 235
98.7%
0 3
 
1.3%

Length

2024-05-18T09:12:02.168418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:02.485346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
98.7%
0 3
 
1.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
235 
0
 
3

Length

Max length4
Median length4
Mean length3.9621849
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> 235
98.7%
0 3
 
1.3%

Length

2024-05-18T09:12:02.855771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:03.262248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
98.7%
0 3
 
1.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
235 
0
 
3

Length

Max length4
Median length4
Mean length3.9621849
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> 235
98.7%
0 3
 
1.3%

Length

2024-05-18T09:12:03.750106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:04.057633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
98.7%
0 3
 
1.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)28.2%
Missing160
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean21.653846
Minimum0
Maximum80
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-18T09:12:04.644317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.85
Q19
median11.5
Q340
95-th percentile60
Maximum80
Range80
Interquartile range (IQR)31

Descriptive statistics

Standard deviation19.05619
Coefficient of variation (CV)0.88003717
Kurtosis0.19172253
Mean21.653846
Median Absolute Deviation (MAD)5.5
Skewness1.1313945
Sum1689
Variance363.13836
MonotonicityNot monotonic
2024-05-18T09:12:05.058119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 12
 
5.0%
40 10
 
4.2%
6 6
 
2.5%
9 6
 
2.5%
7 4
 
1.7%
8 4
 
1.7%
50 4
 
1.7%
17 3
 
1.3%
11 3
 
1.3%
18 3
 
1.3%
Other values (12) 23
 
9.7%
(Missing) 160
67.2%
ValueCountFrequency (%)
0 3
 
1.3%
5 1
 
0.4%
6 6
2.5%
7 4
 
1.7%
8 4
 
1.7%
9 6
2.5%
10 12
5.0%
11 3
 
1.3%
12 2
 
0.8%
13 3
 
1.3%
ValueCountFrequency (%)
80 1
 
0.4%
70 1
 
0.4%
60 3
 
1.3%
50 4
 
1.7%
49 3
 
1.3%
45 1
 
0.4%
40 10
4.2%
30 1
 
0.4%
18 3
 
1.3%
17 3
 
1.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전체이용가
190 
<NA>
47 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.8109244
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 190
79.8%
<NA> 47
 
19.7%
청소년이용불가 1
 
0.4%

Length

2024-05-18T09:12:05.760935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:06.069306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 190
79.8%
na 47
 
19.7%
청소년이용불가 1
 
0.4%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing238
Missing (%)100.0%
Memory size2.2 KiB

지역구분명
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
165 
일반주거지역
45 
일반상업지역
 
13
준주거지역
 
9
준공업지역
 
5

Length

Max length6
Median length4
Mean length4.5546218
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
69.3%
일반주거지역 45
 
18.9%
일반상업지역 13
 
5.5%
준주거지역 9
 
3.8%
준공업지역 5
 
2.1%
근린상업지역 1
 
0.4%

Length

2024-05-18T09:12:06.449030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:12:06.856131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
69.3%
일반주거지역 45
 
18.9%
일반상업지역 13
 
5.5%
준주거지역 9
 
3.8%
준공업지역 5
 
2.1%
근린상업지역 1
 
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF224114200700000120070801<NA>3폐업3폐업20091106<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 359-54번지 동성빌딩 지1층(월정안길104)서울특별시 강서구 가로공원로76길 100 (화곡동,동성빌딩 지1층(월정안길104))<NA>플레이존2009-11-06 10:09:00I2018-08-31 23:59:59.0<NA>185684.370684447853.18391청소년게임제공업유통관련업5기타<NA>126.7241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역
13150000CDFF224114200700000220071115<NA>3폐업3폐업20101230<NA><NA><NA><NA><NA>157280서울특별시 강서구 내발산동 653번지 솔레드림상가2층 206호서울특별시 강서구 강서로 360 (내발산동,솔레드림상가2층 206호)<NA>플레이존 플스방2010-12-30 10:10:00I2018-08-31 23:59:59.0<NA>185643.544687450612.383813청소년게임제공업유통관련업<NA>기타<NA>69.75<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역
23150000CDFF224114200700000320071115<NA>3폐업3폐업20151007<NA><NA><NA><NA><NA>157918서울특별시 강서구 화곡동 1006-13번지 3층서울특별시 강서구 강서로45가길 19 (화곡동,3층)<NA>메가플스 우장산점2015-10-07 09:09:25I2018-08-31 23:59:59.0<NA>185410.679548449443.817067청소년게임제공업유통관련업6기타<NA>130.015근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
33150000CDFF224114200700000420071121<NA>3폐업3폐업20090312<NA><NA><NA><NA><NA>157823서울특별시 강서구 과해동 676번지 3층(김포공항 이마트 내)<NA><NA>(주) 시뮬라인JoyBox1호점2009-03-12 18:07:38I2018-08-31 23:59:59.0<NA>182141.205465451078.47991청소년게임제공업유통관련업<NA><NA><NA>752.37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF224114200700000520071121<NA>3폐업3폐업20080922<NA><NA><NA><NA><NA>157849서울특별시 강서구 방화동 450-15번지 101~102호서울특별시 강서구 양천로 73 (방화동,101~102호)<NA>오리날다2008-11-21 17:50:06I2018-08-31 23:59:59.0<NA>183306.538535452402.238297청소년게임제공업유통관련업<NA><NA><NA>140.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFF224114200800000120080104<NA>3폐업3폐업20080508<NA><NA><NA><NA><NA>157883서울특별시 강서구 화곡동 357-32번지 1층서울특별시 강서구 월정로 136 (화곡동,1층)<NA>월드프라자2008-11-21 17:50:30I2018-08-31 23:59:59.0<NA>185598.520826447669.300047청소년게임제공업유통관련업5기타<NA>130.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63150000CDFF224114200800000220080115200903034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>157910서울특별시 강서구 화곡동 927-1번지 102호서울특별시 강서구 강서로5나길 104 (화곡동,102호)<NA>종합게임랜드2009-03-06 11:41:38I2018-08-31 23:59:59.0<NA>186029.723926447381.645907청소년게임제공업유통관련업<NA>기타<NA>103.27<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
73150000CDFF224114200800000320080131<NA>3폐업3폐업20180411<NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 712-1번지 스카이시티 3층<NA><NA>조이박스2018-04-11 16:51:58I2018-08-31 23:59:59.0<NA>182735.786875451591.610814청소년게임제공업유통관련업<NA><NA><NA>347.0<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>
83150000CDFF224114200800000420080515<NA>3폐업3폐업20090120<NA><NA><NA><NA><NA>157910서울특별시 강서구 화곡동 927-1번지 111호서울특별시 강서구 강서로5나길 104 (화곡동,111호)<NA>몽키블럭 게임랜드2009-01-20 16:06:40I2018-08-31 23:59:59.0<NA>186029.723926447381.645907청소년게임제공업유통관련업19기타<NA>192.78154근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
93150000CDFF224114200800000520080522<NA>3폐업3폐업20081029<NA><NA><NA><NA><NA>157910서울특별시 강서구 화곡동 929-1번지 1층서울특별시 강서구 강서로5나길 109 (화곡동,1층)<NA>아쿠아마린종합랜드2008-10-29 08:55:57I2018-08-31 23:59:59.0<NA>185997.249331447326.548616청소년게임제공업유통관련업4기타<NA>150.031유통시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2283150000CDFF224114202000001220201229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 354-62 백림상가서울특별시 강서구 가로공원로76길 107, 백림상가 1층 (화곡동)7768드레곤게임장2021-09-16 16:23:02U2021-09-18 02:40:00.0<NA>185734.447656447829.918725청소년게임제공업유통관련업0<NA><NA>46.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
2293150000CDFF224114202100000120210114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 795-6 뉴골든타워서울특별시 강서구 마곡중앙6로 89, 뉴골든타워 202호 (마곡동)7803요요파크노라존2021-01-14 17:06:25I2021-01-16 00:23:15.0<NA>185553.0450880.0청소년게임제공업유통관련업<NA><NA><NA>148.19<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>
2303150000CDFF224114202100000220210125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 929-1서울특별시 강서구 강서로5나길 109, B-12호 (화곡동)7780SS ZONE2021-01-25 12:51:29I2021-01-27 00:23:03.0<NA>185997.249331447326.548616청소년게임제공업유통관련업<NA><NA>철권 1조, 1945 1대, 블루라벨 1대12.81<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>
2313150000CDFF22411420210000032021-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 760-1 힐스테이트에코마곡나루역라마다앙코르서울서울특별시 강서구 마곡중앙로 161-11, 힐스테이트에코마곡나루역라마다앙코르서울 1동 137호 (마곡동)7788행운의 로또2023-06-13 13:56:31U2022-12-05 23:05:00.0<NA>184622.975679451753.272698<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2323150000CDFF224114202200000120220204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 799-2 푸리마타워서울특별시 강서구 공항대로 190, 푸리마타워 112호 (마곡동)7631뽑아쥬2022-02-04 14:34:24I2022-02-06 00:22:38.0<NA><NA><NA>청소년게임제공업유통관련업0<NA><NA>36.1900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
2333150000CDFF22411420230000012023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 797-10 엠팰리체 114호서울특별시 강서구 마곡동로4길 15, 엠팰리체 114호 (마곡동)7803찌꼬뽀꼬2023-09-08 12:54:11I2022-12-08 23:00:00.0<NA>185373.875552450852.521846<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2343150000CDFF22411420230000022023-10-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 896-1서울특별시 강서구 곰달래로 156-1, 1층 3호 (화곡동)7781뽀끼뽀꼬2023-10-20 09:12:08I2022-10-30 22:02:00.0<NA>186700.849079447609.060489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2353150000CDFF22411420240000012024-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 580-11서울특별시 강서구 방화동로 109, 1층 (방화동)7607뽀끼BOMB2024-01-31 07:49:22I2023-12-02 00:02:00.0<NA>183376.81836451995.336973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2363150000CDFF22411420240000022024-02-28<NA>3폐업3폐업2024-03-05<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 938-17서울특별시 강서구 월정로 118, 2층 (화곡동)7775스타게임랜드2024-03-05 15:41:01U2023-12-03 00:07:00.0<NA>185668.26839447512.372781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2373150000CDFF22411420240000032024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 775-8서울특별시 강서구 등촌로5길 2, 106호 (화곡동)7741블링팝2024-04-09 12:53:50I2023-12-03 23:01:00.0<NA>187855.254782447925.171433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>