Overview

Dataset statistics

Number of variables56
Number of observations497
Missing cells12981
Missing cells (%)46.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory235.0 KiB
Average record size in memory484.3 B

Variable types

Categorical17
Text6
DateTime4
Numeric9
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-16784/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (60.3%)Imbalance
문화사업자구분명 is highly imbalanced (60.3%)Imbalance
주변환경명 is highly imbalanced (88.9%)Imbalance
건물용도명 is highly imbalanced (68.6%)Imbalance
통로너비 is highly imbalanced (85.8%)Imbalance
조명시설조도 is highly imbalanced (85.8%)Imbalance
노래방실수 is highly imbalanced (85.8%)Imbalance
청소년실수 is highly imbalanced (85.8%)Imbalance
지역구분명 is highly imbalanced (61.7%)Imbalance
인허가취소일자 has 436 (87.7%) missing valuesMissing
폐업일자 has 134 (27.0%) missing valuesMissing
휴업시작일자 has 497 (100.0%) missing valuesMissing
휴업종료일자 has 497 (100.0%) missing valuesMissing
재개업일자 has 497 (100.0%) missing valuesMissing
전화번호 has 417 (83.9%) missing valuesMissing
소재지면적 has 497 (100.0%) missing valuesMissing
소재지우편번호 has 417 (83.9%) missing valuesMissing
도로명주소 has 10 (2.0%) missing valuesMissing
도로명우편번호 has 323 (65.0%) missing valuesMissing
업태구분명 has 497 (100.0%) missing valuesMissing
총층수 has 267 (53.7%) missing valuesMissing
제작취급품목내용 has 454 (91.3%) missing valuesMissing
시설면적 has 70 (14.1%) missing valuesMissing
지상층수 has 254 (51.1%) missing valuesMissing
비상계단여부 has 497 (100.0%) missing valuesMissing
비상구여부 has 497 (100.0%) missing valuesMissing
자동환기여부 has 497 (100.0%) missing valuesMissing
청소년실여부 has 497 (100.0%) missing valuesMissing
특수조명여부 has 497 (100.0%) missing valuesMissing
방음시설여부 has 497 (100.0%) missing valuesMissing
비디오재생기명 has 497 (100.0%) missing valuesMissing
조명시설유무 has 497 (100.0%) missing valuesMissing
음향시설여부 has 497 (100.0%) missing valuesMissing
편의시설여부 has 497 (100.0%) missing valuesMissing
소방시설여부 has 497 (100.0%) missing valuesMissing
총게임기수 has 255 (51.3%) missing valuesMissing
기존게임업외업종명 has 497 (100.0%) missing valuesMissing
공연장형태구분명 has 497 (100.0%) missing valuesMissing
품목명 has 497 (100.0%) missing valuesMissing
최초등록시점 has 497 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 20.10000061)Skewed
관리번호 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 22 (4.4%) zerosZeros
시설면적 has 21 (4.2%) zerosZeros
지상층수 has 23 (4.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:58:40.333176
Analysis finished2024-05-11 05:58:41.353986
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3170000
497 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 497
100.0%

Length

2024-05-11T14:58:41.442989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:41.567991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 497
100.0%

관리번호
Text

UNIQUE 

Distinct497
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-11T14:58:41.828588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9940
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

Unique497 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021999000026
2nd rowCDFF2241021999000027
3rd rowCDFF2241021999000028
4th rowCDFF2241021999000029
5th rowCDFF2241021999000030
ValueCountFrequency (%)
cdff2241021999000026 1
 
0.2%
cdff2241022010000055 1
 
0.2%
cdff2241022011000014 1
 
0.2%
cdff2241022011000013 1
 
0.2%
cdff2241022011000012 1
 
0.2%
cdff2241022011000011 1
 
0.2%
cdff2241022011000010 1
 
0.2%
cdff2241022011000009 1
 
0.2%
cdff2241022011000008 1
 
0.2%
cdff2241022011000007 1
 
0.2%
Other values (487) 487
98.0%
2024-05-11T14:58:42.327660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3462
34.8%
2 2147
21.6%
F 994
 
10.0%
1 955
 
9.6%
4 612
 
6.2%
C 497
 
5.0%
D 497
 
5.0%
8 200
 
2.0%
9 162
 
1.6%
3 129
 
1.3%
Other values (3) 285
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7952
80.0%
Uppercase Letter 1988
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3462
43.5%
2 2147
27.0%
1 955
 
12.0%
4 612
 
7.7%
8 200
 
2.5%
9 162
 
2.0%
3 129
 
1.6%
7 126
 
1.6%
5 82
 
1.0%
6 77
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 994
50.0%
C 497
25.0%
D 497
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7952
80.0%
Latin 1988
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3462
43.5%
2 2147
27.0%
1 955
 
12.0%
4 612
 
7.7%
8 200
 
2.5%
9 162
 
2.0%
3 129
 
1.6%
7 126
 
1.6%
5 82
 
1.0%
6 77
 
1.0%
Latin
ValueCountFrequency (%)
F 994
50.0%
C 497
25.0%
D 497
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3462
34.8%
2 2147
21.6%
F 994
 
10.0%
1 955
 
9.6%
4 612
 
6.2%
C 497
 
5.0%
D 497
 
5.0%
8 200
 
2.0%
9 162
 
1.6%
3 129
 
1.3%
Other values (3) 285
 
2.9%

인허가일자
Date

Distinct380
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1999-11-18 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T14:58:42.579750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:42.802871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)83.6%
Missing436
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean20117401
Minimum20080213
Maximum20221007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:43.052496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080213
5-th percentile20090109
Q120100416
median20110531
Q320120720
95-th percentile20181130
Maximum20221007
Range140794
Interquartile range (IQR)20304

Descriptive statistics

Standard deviation31660.206
Coefficient of variation (CV)0.0015737722
Kurtosis2.5599963
Mean20117401
Median Absolute Deviation (MAD)10189
Skewness1.731197
Sum1.2271614 × 109
Variance1.0023687 × 109
MonotonicityNot monotonic
2024-05-11T14:58:43.326791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110504 4
 
0.8%
20090601 3
 
0.6%
20091231 2
 
0.4%
20100621 2
 
0.4%
20110602 2
 
0.4%
20121023 2
 
0.4%
20111027 2
 
0.4%
20150701 1
 
0.2%
20160920 1
 
0.2%
20221007 1
 
0.2%
Other values (41) 41
 
8.2%
(Missing) 436
87.7%
ValueCountFrequency (%)
20080213 1
 
0.2%
20080522 1
 
0.2%
20081118 1
 
0.2%
20090109 1
 
0.2%
20090601 3
0.6%
20090701 1
 
0.2%
20090820 1
 
0.2%
20090907 1
 
0.2%
20091231 2
0.4%
20100111 1
 
0.2%
ValueCountFrequency (%)
20221007 1
0.2%
20210806 1
0.2%
20200430 1
0.2%
20181130 1
0.2%
20180604 1
0.2%
20180321 1
0.2%
20170201 1
0.2%
20160920 1
0.2%
20150701 1
0.2%
20150415 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
297 
4
129 
1
71 

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 (%)
3 297
59.8%
4 129
26.0%
1 71
 
14.3%

Length

2024-05-11T14:58:43.570567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:43.725200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 297
59.8%
4 129
26.0%
1 71
 
14.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
297 
취소/말소/만료/정지/중지
129 
영업/정상
71 

Length

Max length14
Median length2
Mean length5.5432596
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 297
59.8%
취소/말소/만료/정지/중지 129
26.0%
영업/정상 71
 
14.3%

Length

2024-05-11T14:58:43.928446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:44.097781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 297
59.8%
취소/말소/만료/정지/중지 129
26.0%
영업/정상 71
 
14.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
03
297 
13
70 
35
68 
31
61 
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0040241
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
03 297
59.8%
13 70
 
14.1%
35 68
 
13.7%
31 61
 
12.3%
BBBB 1
 
0.2%

Length

2024-05-11T14:58:44.296352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:44.465936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 297
59.8%
13 70
 
14.1%
35 68
 
13.7%
31 61
 
12.3%
bbbb 1
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
297 
영업중
70 
직권말소
68 
등록취소
61 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.6639839
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 297
59.8%
영업중 70
 
14.1%
직권말소 68
 
13.7%
등록취소 61
 
12.3%
<NA> 1
 
0.2%

Length

2024-05-11T14:58:44.683786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:45.190638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 297
59.8%
영업중 70
 
14.1%
직권말소 68
 
13.7%
등록취소 61
 
12.3%
na 1
 
0.2%

폐업일자
Date

MISSING 

Distinct269
Distinct (%)74.1%
Missing134
Missing (%)27.0%
Memory size4.0 KiB
Minimum2000-06-03 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T14:58:45.371576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:45.588082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

전화번호
Text

MISSING 

Distinct78
Distinct (%)97.5%
Missing417
Missing (%)83.9%
Memory size4.0 KiB
2024-05-11T14:58:45.972280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.15
Min length7

Characters and Unicode

Total characters732
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)95.0%

Sample

1st row02-838-8354
2nd row02-854-9904
3rd row02-806-8877
4th row02-807-1135
5th row02-893-3572
ValueCountFrequency (%)
02-893-3572 2
 
2.5%
896-5554 2
 
2.5%
807-9684 1
 
1.2%
830-7876 1
 
1.2%
02-838-8354 1
 
1.2%
8055367 1
 
1.2%
807-8401 1
 
1.2%
802-0294 1
 
1.2%
891-3367 1
 
1.2%
805-1413 1
 
1.2%
Other values (68) 68
85.0%
2024-05-11T14:58:46.589740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 122
16.7%
0 108
14.8%
- 107
14.6%
2 81
11.1%
5 73
10.0%
9 54
7.4%
3 43
 
5.9%
6 40
 
5.5%
4 40
 
5.5%
7 38
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 625
85.4%
Dash Punctuation 107
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 122
19.5%
0 108
17.3%
2 81
13.0%
5 73
11.7%
9 54
8.6%
3 43
 
6.9%
6 40
 
6.4%
4 40
 
6.4%
7 38
 
6.1%
1 26
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 122
16.7%
0 108
14.8%
- 107
14.6%
2 81
11.1%
5 73
10.0%
9 54
7.4%
3 43
 
5.9%
6 40
 
5.5%
4 40
 
5.5%
7 38
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 122
16.7%
0 108
14.8%
- 107
14.6%
2 81
11.1%
5 73
10.0%
9 54
7.4%
3 43
 
5.9%
6 40
 
5.5%
4 40
 
5.5%
7 38
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)40.0%
Missing417
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean153795.36
Minimum153010
Maximum153868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:46.861767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153010
5-th percentile153761.45
Q1153810.25
median153839
Q3153858
95-th percentile153863.05
Maximum153868
Range858
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation182.70681
Coefficient of variation (CV)0.0011879865
Kurtosis15.54052
Mean153795.36
Median Absolute Deviation (MAD)20
Skewness-4.102999
Sum12303629
Variance33381.778
MonotonicityNot monotonic
2024-05-11T14:58:47.090533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
153858 7
 
1.4%
153801 6
 
1.2%
153859 6
 
1.2%
153857 6
 
1.2%
153823 5
 
1.0%
153807 5
 
1.0%
153010 4
 
0.8%
153856 4
 
0.8%
153812 3
 
0.6%
153808 3
 
0.6%
Other values (22) 31
 
6.2%
(Missing) 417
83.9%
ValueCountFrequency (%)
153010 4
0.8%
153801 6
1.2%
153806 2
 
0.4%
153807 5
1.0%
153808 3
0.6%
153811 1
 
0.2%
153812 3
0.6%
153813 2
 
0.4%
153818 1
 
0.2%
153821 2
 
0.4%
ValueCountFrequency (%)
153868 2
 
0.4%
153867 1
 
0.2%
153864 1
 
0.2%
153863 2
 
0.4%
153862 1
 
0.2%
153861 2
 
0.4%
153859 6
1.2%
153858 7
1.4%
153857 6
1.2%
153856 4
0.8%

지번주소
Text

Distinct458
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-11T14:58:47.492974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length26.211268
Min length19

Characters and Unicode

Total characters13027
Distinct characters131
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

Unique424 ?
Unique (%)85.3%

Sample

1st row서울특별시 금천구 독산동 178-27번지
2nd row서울특별시 금천구 독산동 193-41번지
3rd row서울특별시 금천구 시흥동 954-7번지
4th row서울특별시 금천구 시흥동 803-20번지
5th row서울특별시 금천구 시흥동 856-20번지
ValueCountFrequency (%)
서울특별시 497
20.6%
금천구 497
20.6%
독산동 231
 
9.6%
시흥동 208
 
8.6%
2층 99
 
4.1%
지하1층 59
 
2.4%
가산동 58
 
2.4%
1층 39
 
1.6%
지상1층 29
 
1.2%
3층 24
 
1.0%
Other values (464) 675
27.9%
2024-05-11T14:58:48.107272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2329
17.9%
시 711
 
5.5%
1 686
 
5.3%
금 553
 
4.2%
지 512
 
3.9%
동 507
 
3.9%
구 498
 
3.8%
서 497
 
3.8%
천 497
 
3.8%
별 497
 
3.8%
Other values (121) 5740
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7339
56.3%
Decimal Number 2752
 
21.1%
Space Separator 2329
 
17.9%
Dash Punctuation 473
 
3.6%
Open Punctuation 57
 
0.4%
Close Punctuation 55
 
0.4%
Other Punctuation 14
 
0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 711
 
9.7%
금 553
 
7.5%
지 512
 
7.0%
동 507
 
6.9%
구 498
 
6.8%
서 497
 
6.8%
천 497
 
6.8%
별 497
 
6.8%
특 497
 
6.8%
울 497
 
6.8%
Other values (102) 2073
28.2%
Decimal Number
ValueCountFrequency (%)
1 686
24.9%
2 409
14.9%
9 320
11.6%
8 290
10.5%
3 235
 
8.5%
0 208
 
7.6%
4 181
 
6.6%
5 156
 
5.7%
7 141
 
5.1%
6 126
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
. 2
 
14.3%
/ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7339
56.3%
Common 5680
43.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 711
 
9.7%
금 553
 
7.5%
지 512
 
7.0%
동 507
 
6.9%
구 498
 
6.8%
서 497
 
6.8%
천 497
 
6.8%
별 497
 
6.8%
특 497
 
6.8%
울 497
 
6.8%
Other values (102) 2073
28.2%
Common
ValueCountFrequency (%)
2329
41.0%
1 686
 
12.1%
- 473
 
8.3%
2 409
 
7.2%
9 320
 
5.6%
8 290
 
5.1%
3 235
 
4.1%
0 208
 
3.7%
4 181
 
3.2%
5 156
 
2.7%
Other values (7) 393
 
6.9%
Latin
ValueCountFrequency (%)
B 6
75.0%
b 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7339
56.3%
ASCII 5688
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2329
40.9%
1 686
 
12.1%
- 473
 
8.3%
2 409
 
7.2%
9 320
 
5.6%
8 290
 
5.1%
3 235
 
4.1%
0 208
 
3.7%
4 181
 
3.2%
5 156
 
2.7%
Other values (9) 401
 
7.0%
Hangul
ValueCountFrequency (%)
시 711
 
9.7%
금 553
 
7.5%
지 512
 
7.0%
동 507
 
6.9%
구 498
 
6.8%
서 497
 
6.8%
천 497
 
6.8%
별 497
 
6.8%
특 497
 
6.8%
울 497
 
6.8%
Other values (102) 2073
28.2%

도로명주소
Text

MISSING 

Distinct462
Distinct (%)94.9%
Missing10
Missing (%)2.0%
Memory size4.0 KiB
2024-05-11T14:58:48.439972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length29.628337
Min length22

Characters and Unicode

Total characters14429
Distinct characters145
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

Unique440 ?
Unique (%)90.3%

Sample

1st row서울특별시 금천구 독산로 281-2 (독산동)
2nd row서울특별시 금천구 독산로 268-1 (독산동)
3rd row서울특별시 금천구 시흥대로 90 (시흥동)
4th row서울특별시 금천구 독산로 134 (시흥동)
5th row서울특별시 금천구 독산로 141 (시흥동)
ValueCountFrequency (%)
서울특별시 487
18.1%
금천구 487
18.1%
독산로 134
 
5.0%
시흥동 122
 
4.5%
독산동 114
 
4.2%
시흥대로 55
 
2.0%
독산동,2층 50
 
1.9%
가산로 49
 
1.8%
1층 34
 
1.3%
가산동 31
 
1.2%
Other values (410) 1121
41.8%
2024-05-11T14:58:48.973606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2473
 
17.1%
시 817
 
5.7%
금 590
 
4.1%
1 563
 
3.9%
산 558
 
3.9%
( 541
 
3.7%
) 539
 
3.7%
동 498
 
3.5%
구 488
 
3.4%
서 487
 
3.4%
Other values (135) 6875
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8325
57.7%
Space Separator 2473
 
17.1%
Decimal Number 2067
 
14.3%
Open Punctuation 541
 
3.7%
Close Punctuation 539
 
3.7%
Other Punctuation 440
 
3.0%
Dash Punctuation 35
 
0.2%
Uppercase Letter 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 817
 
9.8%
금 590
 
7.1%
산 558
 
6.7%
동 498
 
6.0%
구 488
 
5.9%
서 487
 
5.8%
울 487
 
5.8%
천 487
 
5.8%
별 487
 
5.8%
특 487
 
5.8%
Other values (116) 2939
35.3%
Decimal Number
ValueCountFrequency (%)
1 563
27.2%
2 395
19.1%
3 275
13.3%
4 173
 
8.4%
5 132
 
6.4%
7 125
 
6.0%
6 119
 
5.8%
0 106
 
5.1%
8 99
 
4.8%
9 80
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 437
99.3%
. 2
 
0.5%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 541
100.0%
Close Punctuation
ValueCountFrequency (%)
) 539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8325
57.7%
Common 6095
42.2%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 817
 
9.8%
금 590
 
7.1%
산 558
 
6.7%
동 498
 
6.0%
구 488
 
5.9%
서 487
 
5.8%
울 487
 
5.8%
천 487
 
5.8%
별 487
 
5.8%
특 487
 
5.8%
Other values (116) 2939
35.3%
Common
ValueCountFrequency (%)
2473
40.6%
1 563
 
9.2%
( 541
 
8.9%
) 539
 
8.8%
, 437
 
7.2%
2 395
 
6.5%
3 275
 
4.5%
4 173
 
2.8%
5 132
 
2.2%
7 125
 
2.1%
Other values (7) 442
 
7.3%
Latin
ValueCountFrequency (%)
B 7
77.8%
b 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8325
57.7%
ASCII 6104
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2473
40.5%
1 563
 
9.2%
( 541
 
8.9%
) 539
 
8.8%
, 437
 
7.2%
2 395
 
6.5%
3 275
 
4.5%
4 173
 
2.8%
5 132
 
2.2%
7 125
 
2.0%
Other values (9) 451
 
7.4%
Hangul
ValueCountFrequency (%)
시 817
 
9.8%
금 590
 
7.1%
산 558
 
6.7%
동 498
 
6.0%
구 488
 
5.9%
서 487
 
5.8%
울 487
 
5.8%
천 487
 
5.8%
별 487
 
5.8%
특 487
 
5.8%
Other values (116) 2939
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)45.4%
Missing323
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean36923.626
Minimum8511
Maximum153868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:49.238011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8511
5-th percentile8523
Q18548
median8591.5
Q38642
95-th percentile153835.8
Maximum153868
Range145357
Interquartile range (IQR)94

Descriptive statistics

Standard deviation57683.464
Coefficient of variation (CV)1.5622372
Kurtosis0.40649955
Mean36923.626
Median Absolute Deviation (MAD)48.5
Skewness1.5498103
Sum6424711
Variance3.327382 × 109
MonotonicityNot monotonic
2024-05-11T14:58:49.427540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8642 8
 
1.6%
8630 8
 
1.6%
8576 6
 
1.2%
8554 5
 
1.0%
8632 5
 
1.0%
8523 5
 
1.0%
8573 4
 
0.8%
8574 4
 
0.8%
153809 4
 
0.8%
8644 4
 
0.8%
Other values (69) 121
 
24.3%
(Missing) 323
65.0%
ValueCountFrequency (%)
8511 1
 
0.2%
8512 2
 
0.4%
8515 2
 
0.4%
8517 1
 
0.2%
8521 2
 
0.4%
8523 5
1.0%
8524 1
 
0.2%
8525 2
 
0.4%
8526 2
 
0.4%
8527 4
0.8%
ValueCountFrequency (%)
153868 2
0.4%
153864 1
0.2%
153862 1
0.2%
153861 2
0.4%
153858 1
0.2%
153857 1
0.2%
153841 1
0.2%
153833 1
0.2%
153831 2
0.4%
153825 1
0.2%

사업장명
Text

Distinct439
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-11T14:58:49.779486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length5.9678068
Min length1

Characters and Unicode

Total characters2966
Distinct characters333
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

Unique394 ?
Unique (%)79.3%

Sample

1st rowY2K PC게임방
2nd row인터넷PC방
3rd row접속인터넷PC방
4th row클릭넷
5th row사이버매니아
ValueCountFrequency (%)
pc방 18
 
3.2%
pc 13
 
2.3%
놀토pc방 6
 
1.1%
뉴탑pc방 4
 
0.7%
럭키pc방 4
 
0.7%
메이드pc 4
 
0.7%
zone 4
 
0.7%
비타민pc방 3
 
0.5%
캐슬pc방 3
 
0.5%
밥풀pc방 3
 
0.5%
Other values (445) 500
89.0%
2024-05-11T14:58:50.383218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 350
 
11.8%
P 349
 
11.8%
방 268
 
9.0%
이 95
 
3.2%
스 73
 
2.5%
65
 
2.2%
c 49
 
1.7%
p 48
 
1.6%
아 48
 
1.6%
시 46
 
1.6%
Other values (323) 1575
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1909
64.4%
Uppercase Letter 793
26.7%
Lowercase Letter 142
 
4.8%
Space Separator 65
 
2.2%
Decimal Number 28
 
0.9%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 268
 
14.0%
이 95
 
5.0%
스 73
 
3.8%
아 48
 
2.5%
시 46
 
2.4%
드 42
 
2.2%
넷 41
 
2.1%
피 40
 
2.1%
리 33
 
1.7%
임 31
 
1.6%
Other values (271) 1192
62.4%
Uppercase Letter
ValueCountFrequency (%)
C 350
44.1%
P 349
44.0%
O 13
 
1.6%
E 12
 
1.5%
A 8
 
1.0%
N 8
 
1.0%
Z 7
 
0.9%
T 6
 
0.8%
K 6
 
0.8%
W 5
 
0.6%
Other values (13) 29
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
c 49
34.5%
p 48
33.8%
o 11
 
7.7%
e 9
 
6.3%
n 7
 
4.9%
a 5
 
3.5%
f 2
 
1.4%
s 2
 
1.4%
z 2
 
1.4%
u 1
 
0.7%
Other values (6) 6
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 8
28.6%
1 6
21.4%
8 6
21.4%
4 3
 
10.7%
3 3
 
10.7%
9 1
 
3.6%
0 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
! 1
 
20.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1909
64.4%
Latin 935
31.5%
Common 122
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 268
 
14.0%
이 95
 
5.0%
스 73
 
3.8%
아 48
 
2.5%
시 46
 
2.4%
드 42
 
2.2%
넷 41
 
2.1%
피 40
 
2.1%
리 33
 
1.7%
임 31
 
1.6%
Other values (271) 1192
62.4%
Latin
ValueCountFrequency (%)
C 350
37.4%
P 349
37.3%
c 49
 
5.2%
p 48
 
5.1%
O 13
 
1.4%
E 12
 
1.3%
o 11
 
1.2%
e 9
 
1.0%
A 8
 
0.9%
N 8
 
0.9%
Other values (29) 78
 
8.3%
Common
ValueCountFrequency (%)
65
53.3%
) 10
 
8.2%
( 10
 
8.2%
2 8
 
6.6%
1 6
 
4.9%
8 6
 
4.9%
- 4
 
3.3%
. 4
 
3.3%
4 3
 
2.5%
3 3
 
2.5%
Other values (3) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1909
64.4%
ASCII 1057
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 350
33.1%
P 349
33.0%
65
 
6.1%
c 49
 
4.6%
p 48
 
4.5%
O 13
 
1.2%
E 12
 
1.1%
o 11
 
1.0%
) 10
 
0.9%
( 10
 
0.9%
Other values (42) 140
 
13.2%
Hangul
ValueCountFrequency (%)
방 268
 
14.0%
이 95
 
5.0%
스 73
 
3.8%
아 48
 
2.5%
시 46
 
2.4%
드 42
 
2.2%
넷 41
 
2.1%
피 40
 
2.1%
리 33
 
1.7%
임 31
 
1.6%
Other values (271) 1192
62.4%

최종수정일자
Date

Distinct477
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2003-02-06 14:38:21
Maximum2024-04-12 18:00:55
2024-05-11T14:58:50.577648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:50.781927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
I
369 
U
128 

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 369
74.2%
U 128
 
25.8%

Length

2024-05-11T14:58:50.987461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:51.131849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 369
74.2%
u 128
 
25.8%

데이터갱신일자
Date

Distinct99
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T14:58:51.261456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:58:51.465284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct339
Distinct (%)68.5%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean191214.58
Minimum189583.1
Maximum192193.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:51.710489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189583.1
5-th percentile190262.63
Q1191013.06
median191336.71
Q3191471.53
95-th percentile191873.87
Maximum192193.03
Range2609.9233
Interquartile range (IQR)458.46645

Descriptive statistics

Standard deviation473.64879
Coefficient of variation (CV)0.0024770537
Kurtosis0.44078492
Mean191214.58
Median Absolute Deviation (MAD)228.34412
Skewness-0.79223885
Sum94651218
Variance224343.17
MonotonicityNot monotonic
2024-05-11T14:58:51.898169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191415.527853394 5
 
1.0%
191226.287379467 5
 
1.0%
191389.921682753 4
 
0.8%
190779.1714838 4
 
0.8%
190884.217439451 4
 
0.8%
191628.795381195 4
 
0.8%
191013.682027481 4
 
0.8%
191514.065065999 4
 
0.8%
191373.87073798 4
 
0.8%
190459.789766411 4
 
0.8%
Other values (329) 453
91.1%
ValueCountFrequency (%)
189583.102911049 1
0.2%
189616.142056546 1
0.2%
189685.516219475 1
0.2%
189707.807863003 1
0.2%
190057.736482527 1
0.2%
190117.09066704 2
0.4%
190138.28833666 2
0.4%
190139.453764351 1
0.2%
190152.655100819 1
0.2%
190163.620715053 1
0.2%
ValueCountFrequency (%)
192193.026208196 1
0.2%
192089.90276324 2
0.4%
192074.372702969 2
0.4%
192062.775782626 1
0.2%
192046.502446986 2
0.4%
192036.660784786 2
0.4%
192030.207914987 1
0.2%
192015.491677364 2
0.4%
191986.703337779 1
0.2%
191970.182049624 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct339
Distinct (%)68.5%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean440214.26
Minimum436897.47
Maximum442252.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:52.084649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436897.47
5-th percentile438575.72
Q1439005.3
median440467.77
Q3441189.34
95-th percentile441861.46
Maximum442252.56
Range5355.0908
Interquartile range (IQR)2184.0402

Descriptive statistics

Standard deviation1225.5258
Coefficient of variation (CV)0.0027839303
Kurtosis-1.1035055
Mean440214.26
Median Absolute Deviation (MAD)1101.4302
Skewness-0.28257463
Sum2.1790606 × 108
Variance1501913.5
MonotonicityNot monotonic
2024-05-11T14:58:52.316531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441527.916889844 5
 
1.0%
437914.06299827 5
 
1.0%
441196.560539251 4
 
0.8%
441043.729719034 4
 
0.8%
439217.962520273 4
 
0.8%
438829.197580857 4
 
0.8%
441003.614307903 4
 
0.8%
439659.399461442 4
 
0.8%
440333.277000272 4
 
0.8%
441569.197874331 4
 
0.8%
Other values (329) 453
91.1%
ValueCountFrequency (%)
436897.466167682 2
0.4%
436909.870493711 1
0.2%
437601.753603288 1
0.2%
437678.05486892 1
0.2%
437752.098773321 1
0.2%
437773.047519431 1
0.2%
437777.824339474 1
0.2%
437779.96705305 1
0.2%
437799.809089881 1
0.2%
437812.839136767 1
0.2%
ValueCountFrequency (%)
442252.556978068 1
 
0.2%
442234.917705195 1
 
0.2%
442201.740263751 1
 
0.2%
442055.183452739 1
 
0.2%
442043.878227727 1
 
0.2%
442026.468974479 1
 
0.2%
442021.668538685 1
 
0.2%
442020.847866148 2
0.4%
441967.460780947 1
 
0.2%
441916.081648538 4
0.8%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
인터넷컴퓨터게임시설제공업
458 
<NA>
 
39

Length

Max length13
Median length13
Mean length12.293763
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 458
92.2%
<NA> 39
 
7.8%

Length

2024-05-11T14:58:52.536287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:52.662585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 458
92.2%
na 39
 
7.8%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
유통관련업
458 
<NA>
 
39

Length

Max length5
Median length5
Mean length4.9215292
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 458
92.2%
<NA> 39
 
7.8%

Length

2024-05-11T14:58:52.813607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:52.962560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 458
92.2%
na 39
 
7.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)6.1%
Missing267
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean4.1913043
Minimum0
Maximum16
Zeros22
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:53.095906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile7.55
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2830136
Coefficient of variation (CV)0.54470242
Kurtosis3.9081994
Mean4.1913043
Median Absolute Deviation (MAD)1
Skewness0.80383564
Sum964
Variance5.2121511
MonotonicityNot monotonic
2024-05-11T14:58:53.266551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 74
 
14.9%
5 45
 
9.1%
3 30
 
6.0%
6 25
 
5.0%
0 22
 
4.4%
7 9
 
1.8%
1 7
 
1.4%
2 6
 
1.2%
10 4
 
0.8%
8 4
 
0.8%
Other values (4) 4
 
0.8%
(Missing) 267
53.7%
ValueCountFrequency (%)
0 22
 
4.4%
1 7
 
1.4%
2 6
 
1.2%
3 30
6.0%
4 74
14.9%
5 45
9.1%
6 25
 
5.0%
7 9
 
1.8%
8 4
 
0.8%
9 1
 
0.2%
ValueCountFrequency (%)
16 1
 
0.2%
13 1
 
0.2%
11 1
 
0.2%
10 4
 
0.8%
9 1
 
0.2%
8 4
 
0.8%
7 9
 
1.8%
6 25
 
5.0%
5 45
9.1%
4 74
14.9%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
477 
기타
 
13
주택가주변
 
3
유흥업소밀집지역
 
1
결혼예식장주변
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9839034
Min length2

Unique

Unique4 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 477
96.0%
기타 13
 
2.6%
주택가주변 3
 
0.6%
유흥업소밀집지역 1
 
0.2%
결혼예식장주변 1
 
0.2%
학교정화(절대) 1
 
0.2%
학교정화(상대) 1
 
0.2%

Length

2024-05-11T14:58:53.459728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:53.607122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 477
96.0%
기타 13
 
2.6%
주택가주변 3
 
0.6%
유흥업소밀집지역 1
 
0.2%
결혼예식장주변 1
 
0.2%
학교정화(절대 1
 
0.2%
학교정화(상대 1
 
0.2%

제작취급품목내용
Text

MISSING 

Distinct22
Distinct (%)51.2%
Missing454
Missing (%)91.3%
Memory size4.0 KiB
2024-05-11T14:58:53.871410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.4883721
Min length3

Characters and Unicode

Total characters322
Distinct characters37
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

Unique17 ?
Unique (%)39.5%

Sample

1st rowPC방
2nd row인터넷컴퓨터게임
3rd row인터넷컴퓨터게임제공업
4th row인터넷컴퓨터게임
5th row인터넷컴퓨터게임제공업
ValueCountFrequency (%)
pc게임 9
17.6%
인터넷pc게임 6
 
11.8%
인터넷컴퓨터게임제공업 5
 
9.8%
인터넷컴퓨터게임 4
 
7.8%
인터넷게임물 2
 
3.9%
인터넷게임 2
 
3.9%
pc 2
 
3.9%
보드게임 2
 
3.9%
pc게임물 1
 
2.0%
인터넷 1
 
2.0%
Other values (17) 17
33.3%
2024-05-11T14:58:54.342940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 45
14.0%
게 44
13.7%
터 36
11.2%
p 26
 
8.1%
인 26
 
8.1%
넷 26
 
8.1%
c 26
 
8.1%
컴 10
 
3.1%
퓨 10
 
3.1%
제 8
 
2.5%
Other values (27) 65
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
75.5%
Lowercase Letter 52
 
16.1%
Space Separator 8
 
2.5%
Close Punctuation 6
 
1.9%
Open Punctuation 6
 
1.9%
Decimal Number 4
 
1.2%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 45
18.5%
게 44
18.1%
터 36
14.8%
인 26
10.7%
넷 26
10.7%
컴 10
 
4.1%
퓨 10
 
4.1%
제 8
 
3.3%
공 7
 
2.9%
업 6
 
2.5%
Other values (16) 25
10.3%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
7 1
25.0%
1 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 26
50.0%
c 26
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
75.5%
Latin 54
 
16.8%
Common 25
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 45
18.5%
게 44
18.1%
터 36
14.8%
인 26
10.7%
넷 26
10.7%
컴 10
 
4.1%
퓨 10
 
4.1%
제 8
 
3.3%
공 7
 
2.9%
업 6
 
2.5%
Other values (16) 25
10.3%
Common
ValueCountFrequency (%)
8
32.0%
) 6
24.0%
( 6
24.0%
0 2
 
8.0%
7 1
 
4.0%
, 1
 
4.0%
1 1
 
4.0%
Latin
ValueCountFrequency (%)
p 26
48.1%
c 26
48.1%
C 1
 
1.9%
P 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
75.5%
ASCII 79
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 45
18.5%
게 44
18.1%
터 36
14.8%
인 26
10.7%
넷 26
10.7%
컴 10
 
4.1%
퓨 10
 
4.1%
제 8
 
3.3%
공 7
 
2.9%
업 6
 
2.5%
Other values (16) 25
10.3%
ASCII
ValueCountFrequency (%)
p 26
32.9%
c 26
32.9%
8
 
10.1%
) 6
 
7.6%
( 6
 
7.6%
0 2
 
2.5%
7 1
 
1.3%
, 1
 
1.3%
C 1
 
1.3%
P 1
 
1.3%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct314
Distinct (%)73.5%
Missing70
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean136.9577
Minimum0
Maximum12121
Zeros21
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:54.573989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q137.175
median108.32
Q3148.88
95-th percentile263.08
Maximum12121
Range12121
Interquartile range (IQR)111.705

Descriptive statistics

Standard deviation586.69351
Coefficient of variation (CV)4.2837569
Kurtosis411.43315
Mean136.9577
Median Absolute Deviation (MAD)59.24
Skewness20.100001
Sum58480.94
Variance344209.28
MonotonicityNot monotonic
2024-05-11T14:58:54.806520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
4.2%
33.0 8
 
1.6%
26.4 7
 
1.4%
30.0 5
 
1.0%
50.0 4
 
0.8%
109.44 4
 
0.8%
26.44 4
 
0.8%
105.79 3
 
0.6%
111.4 3
 
0.6%
178.51 3
 
0.6%
Other values (304) 365
73.4%
(Missing) 70
 
14.1%
ValueCountFrequency (%)
0.0 21
4.2%
1.0 3
 
0.6%
14.19 1
 
0.2%
15.0 2
 
0.4%
15.18 2
 
0.4%
15.87 1
 
0.2%
16.0 1
 
0.2%
18.0 1
 
0.2%
18.34 1
 
0.2%
19.04 1
 
0.2%
ValueCountFrequency (%)
12121.0 1
0.2%
461.0 1
0.2%
416.65 1
0.2%
379.23 1
0.2%
364.09 1
0.2%
353.98 1
0.2%
338.78 1
0.2%
299.47 1
0.2%
298.84 2
0.4%
298.68 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)4.9%
Missing254
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean3.1728395
Minimum0
Maximum13
Zeros23
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:54.963114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9314072
Coefficient of variation (CV)0.60873144
Kurtosis3.1986824
Mean3.1728395
Median Absolute Deviation (MAD)1
Skewness0.99505432
Sum771
Variance3.7303336
MonotonicityNot monotonic
2024-05-11T14:58:55.111339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 72
 
14.5%
2 48
 
9.7%
4 39
 
7.8%
0 23
 
4.6%
5 23
 
4.6%
6 14
 
2.8%
1 13
 
2.6%
7 6
 
1.2%
8 2
 
0.4%
13 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 254
51.1%
ValueCountFrequency (%)
0 23
 
4.6%
1 13
 
2.6%
2 48
9.7%
3 72
14.5%
4 39
7.8%
5 23
 
4.6%
6 14
 
2.8%
7 6
 
1.2%
8 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
13 1
 
0.2%
11 1
 
0.2%
9 1
 
0.2%
8 2
 
0.4%
7 6
 
1.2%
6 14
 
2.8%
5 23
 
4.6%
4 39
7.8%
3 72
14.5%
2 48
9.7%

지하층수
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
287 
1
174 
0
 
24
2
 
8
3
 
3

Length

Max length4
Median length4
Mean length2.7323944
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 287
57.7%
1 174
35.0%
0 24
 
4.8%
2 8
 
1.6%
3 3
 
0.6%
4 1
 
0.2%

Length

2024-05-11T14:58:55.279388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:55.483159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
57.7%
1 174
35.0%
0 24
 
4.8%
2 8
 
1.6%
3 3
 
0.6%
4 1
 
0.2%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
414 
근린생활시설
77 
판매시설
 
4
다중주택(공동주택적용)
 
1
문화시설
 
1

Length

Max length12
Median length4
Mean length4.3259557
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 414
83.3%
근린생활시설 77
 
15.5%
판매시설 4
 
0.8%
다중주택(공동주택적용) 1
 
0.2%
문화시설 1
 
0.2%

Length

2024-05-11T14:58:55.684127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:56.191071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 414
83.3%
근린생활시설 77
 
15.5%
판매시설 4
 
0.8%
다중주택(공동주택적용 1
 
0.2%
문화시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
487 
0
 
10

Length

Max length4
Median length4
Mean length3.9396378
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> 487
98.0%
0 10
 
2.0%

Length

2024-05-11T14:58:56.350868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:56.476417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 487
98.0%
0 10
 
2.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
487 
0
 
10

Length

Max length4
Median length4
Mean length3.9396378
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> 487
98.0%
0 10
 
2.0%

Length

2024-05-11T14:58:56.613741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:56.777520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 487
98.0%
0 10
 
2.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
487 
0
 
10

Length

Max length4
Median length4
Mean length3.9396378
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> 487
98.0%
0 10
 
2.0%

Length

2024-05-11T14:58:56.920267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:57.084658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 487
98.0%
0 10
 
2.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
487 
0
 
10

Length

Max length4
Median length4
Mean length3.9396378
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> 487
98.0%
0 10
 
2.0%

Length

2024-05-11T14:58:57.242069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:57.411810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 487
98.0%
0 10
 
2.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)28.9%
Missing255
Missing (%)51.3%
Infinite0
Infinite (%)0.0%
Mean41.181818
Minimum0
Maximum200
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:58:57.550555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median44.5
Q359
95-th percentile105.95
Maximum200
Range200
Interquartile range (IQR)51

Descriptive statistics

Standard deviation35.484319
Coefficient of variation (CV)0.86165014
Kurtosis2.8370257
Mean41.181818
Median Absolute Deviation (MAD)30
Skewness1.2834139
Sum9966
Variance1259.1369
MonotonicityNot monotonic
2024-05-11T14:58:57.752835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 24
 
4.8%
6 17
 
3.4%
8 16
 
3.2%
50 13
 
2.6%
5 12
 
2.4%
70 11
 
2.2%
54 10
 
2.0%
40 9
 
1.8%
49 7
 
1.4%
60 6
 
1.2%
Other values (60) 117
23.5%
(Missing) 255
51.3%
ValueCountFrequency (%)
0 1
 
0.2%
3 1
 
0.2%
4 4
 
0.8%
5 12
2.4%
6 17
3.4%
7 24
4.8%
8 16
3.2%
9 5
 
1.0%
10 6
 
1.2%
11 3
 
0.6%
ValueCountFrequency (%)
200 1
0.2%
195 1
0.2%
180 1
0.2%
131 1
0.2%
130 2
0.4%
121 1
0.2%
120 1
0.2%
117 1
0.2%
114 1
0.2%
113 1
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

제공게임물명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
259 
전체이용가
228 
청소년이용불가
 
9
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.5352113
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
52.1%
전체이용가 228
45.9%
청소년이용불가 9
 
1.8%
전체이용가 및 청소년이용불가 1
 
0.2%

Length

2024-05-11T14:58:58.005033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:58.139161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
51.9%
전체이용가 229
45.9%
청소년이용불가 10
 
2.0%
및 1
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing497
Missing (%)100.0%
Memory size4.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
389 
일반주거지역
63 
준공업지역
 
17
준주거지역
 
16
상업지역
 
5
Other values (3)
 
7

Length

Max length6
Median length4
Mean length4.3480885
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 389
78.3%
일반주거지역 63
 
12.7%
준공업지역 17
 
3.4%
준주거지역 16
 
3.2%
상업지역 5
 
1.0%
일반상업지역 5
 
1.0%
근린상업지역 1
 
0.2%
전용공업지역 1
 
0.2%

Length

2024-05-11T14:58:58.308458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:58:58.480269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 389
78.3%
일반주거지역 63
 
12.7%
준공업지역 17
 
3.4%
준주거지역 16
 
3.2%
상업지역 5
 
1.0%
일반상업지역 5
 
1.0%
근린상업지역 1
 
0.2%
전용공업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF224102199900002619991118<NA>3폐업03폐업20061014<NA><NA><NA>02-838-8354<NA>153807서울특별시 금천구 독산동 178-27번지서울특별시 금천구 독산로 281-2 (독산동)<NA>Y2K PC게임방2008-10-14 17:46:23I2018-08-31 23:59:59.0<NA>191344.32743441092.919783인터넷컴퓨터게임시설제공업유통관련업<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>
13170000CDFF224102199900002719991118<NA>3폐업03폐업20061014<NA><NA><NA>02-854-9904<NA>153808서울특별시 금천구 독산동 193-41번지서울특별시 금천구 독산로 268-1 (독산동)<NA>인터넷PC방2008-10-14 17:46:44I2018-08-31 23:59:59.0<NA>191360.4369440944.377986인터넷컴퓨터게임시설제공업유통관련업<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>
23170000CDFF224102199900002819991118<NA>3폐업03폐업20061014<NA><NA><NA>02-806-8877<NA>153861서울특별시 금천구 시흥동 954-7번지서울특별시 금천구 시흥대로 90 (시흥동)<NA>접속인터넷PC방2008-10-14 17:48:24I2018-08-31 23:59:59.0<NA>191432.25537437777.824339인터넷컴퓨터게임시설제공업유통관련업<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>
33170000CDFF224102199900002919991118<NA>3폐업03폐업20010213<NA><NA><NA><NA><NA>153854서울특별시 금천구 시흥동 803-20번지서울특별시 금천구 독산로 134 (시흥동)<NA>클릭넷2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>191552.033218439684.762719인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFF224102199900003019991118<NA>3폐업03폐업20061014<NA><NA><NA>02-807-1135<NA>153857서울특별시 금천구 시흥동 856-20번지서울특별시 금천구 독산로 141 (시흥동)<NA>사이버매니아2008-10-14 17:48:40I2018-08-31 23:59:59.0<NA>191497.781877439750.695291인터넷컴퓨터게임시설제공업유통관련업<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>
53170000CDFF224102199900003119991118<NA>3폐업03폐업20010216<NA><NA><NA><NA><NA>153861서울특별시 금천구 시흥동 940-1번지서울특별시 금천구 시흥대로 106-1 (시흥동)<NA>클릭2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>191448.064062437938.827513인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF224102199900003219991118<NA>3폐업03폐업20061014<NA><NA><NA>02-893-3572<NA>153010서울특별시 금천구 독산동 1041-38번지 ,39서울특별시 금천구 독산로64길 5 (독산동,,39)<NA>베를넷AND인터넷2008-10-14 17:48:57I2018-08-31 23:59:59.0<NA>191347.028715440311.702858인터넷컴퓨터게임시설제공업유통관련업<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>
73170000CDFF224102199900003319991118<NA>3폐업03폐업20061014<NA><NA><NA>02-893-3572<NA>153831서울특별시 금천구 독산동 1041-39번지서울특별시 금천구 독산로 200 (독산동)<NA>베틀넷AND인터넷2008-10-14 17:49:20I2018-08-31 23:59:59.0<NA>191336.707921440303.141196인터넷컴퓨터게임시설제공업유통관련업<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>
83170000CDFF224102199900003419991118<NA>3폐업03폐업20061014<NA><NA><NA>02-863-2226<NA>153807서울특별시 금천구 독산동 161-3번지서울특별시 금천구 시흥대로134길 23 (독산동)<NA>메딕PC방2008-10-14 17:49:42I2018-08-31 23:59:59.0<NA>191123.251523441077.732256인터넷컴퓨터게임시설제공업유통관련업<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>
93170000CDFF224102199900003519991118<NA>3폐업03폐업20061014<NA><NA><NA>02-852-5836<NA>153813서울특별시 금천구 독산동 295-2번지서울특별시 금천구 두산로13길 38 (독산동)<NA>컴퓨터공화국2008-10-14 17:50:03I2018-08-31 23:59:59.0<NA>190649.820354441074.978526인터넷컴퓨터게임시설제공업유통관련업<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
4873170000CDFF22410220220000052022-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 991-2서울특별시 금천구 독산로 302-1 (독산동)8554럭키피시2023-11-15 10:48:17U2022-10-31 23:07:00.0<NA>191401.580248441271.186756<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>
4883170000CDFF22410220230000012023-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 271-18서울특별시 금천구 금하로 730 (시흥동)8644대박PC2024-02-15 17:44:40U2023-12-01 23:07:00.0<NA>192030.207915438698.076776<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>
4893170000CDFF22410220230000022023-05-19<NA>3폐업03폐업2024-03-20<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 977-20서울특별시 금천구 독산로 312, 1층 (독산동)8553희PC2024-03-21 09:21:44U2023-12-02 22:03:00.0<NA>191402.266682441375.327552<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>
4903170000CDFF22410220230000032023-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 219-5 가산테라타워서울특별시 금천구 디지털로10길 78, 가산테라타워 217-222호 (가산동)8517레벨업 PC 카페2023-06-02 17:47:09I2022-12-06 00:04:00.0<NA>190185.054136441381.452927<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>
4913170000CDFF22410220230000042023-06-15<NA>3폐업03폐업2023-10-26<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 124-10서울특별시 금천구 시흥대로71길 44, 2층 (시흥동)8614짱PC2023-10-26 14:13:14U2022-10-30 22:08:00.0<NA>191031.986588439209.588199<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>
4923170000CDFF22410220230000052023-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 994-1서울특별시 금천구 시흥대로57길 46, 지하층 (시흥동)8632시흥PC2023-09-15 18:10:04I2022-12-08 23:07:00.0<NA>191092.662139439128.639026<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>
4933170000CDFF22410220230000062023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 909-26서울특별시 금천구 은행나무로 49, 3층 (시흥동)8642승리PC방2023-09-27 13:27:15I2022-12-08 22:09:00.0<NA>191769.743683438774.290457<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>
4943170000CDFF22410220230000072023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 178-33서울특별시 금천구 독산로 273-1 (독산동)8546초롱PC2023-10-13 09:32:16I2022-10-30 23:05:00.0<NA>191337.894201441016.521594<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>
4953170000CDFF22410220240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 251-3 관악농협협동조합서울특별시 금천구 탑골로 2, 관악농협협동조합 지하1층 (시흥동)8657레벨업PC카페2024-01-24 13:28:05U2023-11-30 22:06:00.0<NA>191986.703338438740.431992<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>
4963170000CDFF22410220240000032024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 114-2서울특별시 금천구 시흥대로63길 33, 지하1층 (시흥동)8615황금PC2024-04-12 18:00:55I2023-12-03 23:04:00.0<NA>190884.217439439217.96252<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>