Overview

Dataset statistics

Number of variables56
Number of observations352
Missing cells9873
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory166.5 KiB
Average record size in memory484.4 B

Variable types

Categorical15
Text6
DateTime3
Numeric9
Unsupported23

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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16808/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.9%)Imbalance
상세영업상태명 is highly imbalanced (53.9%)Imbalance
데이터갱신구분 is highly imbalanced (67.4%)Imbalance
데이터갱신일자 is highly imbalanced (86.3%)Imbalance
문화체육업종명 is highly imbalanced (68.9%)Imbalance
문화사업자구분명 is highly imbalanced (75.9%)Imbalance
건물용도명 is highly imbalanced (54.5%)Imbalance
조명시설조도 is highly imbalanced (67.7%)Imbalance
제공게임물명 is highly imbalanced (79.9%)Imbalance
인허가취소일자 has 327 (92.9%) missing valuesMissing
폐업일자 has 71 (20.2%) missing valuesMissing
휴업시작일자 has 352 (100.0%) missing valuesMissing
휴업종료일자 has 352 (100.0%) missing valuesMissing
재개업일자 has 352 (100.0%) missing valuesMissing
전화번호 has 106 (30.1%) missing valuesMissing
소재지면적 has 352 (100.0%) missing valuesMissing
소재지우편번호 has 29 (8.2%) missing valuesMissing
도로명주소 has 20 (5.7%) missing valuesMissing
도로명우편번호 has 290 (82.4%) missing valuesMissing
업태구분명 has 352 (100.0%) missing valuesMissing
좌표정보(X) has 7 (2.0%) missing valuesMissing
좌표정보(Y) has 7 (2.0%) missing valuesMissing
총층수 has 130 (36.9%) missing valuesMissing
제작취급품목내용 has 340 (96.6%) missing valuesMissing
시설면적 has 24 (6.8%) missing valuesMissing
지상층수 has 146 (41.5%) missing valuesMissing
통로너비 has 352 (100.0%) missing valuesMissing
노래방실수 has 352 (100.0%) missing valuesMissing
청소년실수 has 352 (100.0%) missing valuesMissing
비상계단여부 has 352 (100.0%) missing valuesMissing
비상구여부 has 352 (100.0%) missing valuesMissing
자동환기여부 has 352 (100.0%) missing valuesMissing
청소년실여부 has 352 (100.0%) missing valuesMissing
특수조명여부 has 352 (100.0%) missing valuesMissing
방음시설여부 has 352 (100.0%) missing valuesMissing
비디오재생기명 has 352 (100.0%) missing valuesMissing
조명시설유무 has 352 (100.0%) missing valuesMissing
음향시설여부 has 352 (100.0%) missing valuesMissing
편의시설여부 has 352 (100.0%) missing valuesMissing
소방시설여부 has 352 (100.0%) missing valuesMissing
총게임기수 has 280 (79.5%) missing valuesMissing
기존게임업외업종명 has 352 (100.0%) missing valuesMissing
공연장형태구분명 has 352 (100.0%) missing valuesMissing
품목명 has 352 (100.0%) missing valuesMissing
최초등록시점 has 352 (100.0%) missing valuesMissing
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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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 25 (7.1%) zerosZeros
시설면적 has 69 (19.6%) zerosZeros
지상층수 has 36 (10.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:51:54.090615
Analysis finished2024-05-11 06:51:55.916939
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3160000
352 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 352
100.0%

Length

2024-05-11T06:51:56.253995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:51:56.699316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 352
100.0%

관리번호
Text

UNIQUE 

Distinct352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T06:51:57.350663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7040
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

Unique352 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000003
3rd rowCDFF2241011985000004
4th rowCDFF2241011985000005
5th rowCDFF2241011985000008
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.3%
cdff2241011985000003 1
 
0.3%
cdff2241012004000023 1
 
0.3%
cdff2241012004000022 1
 
0.3%
cdff2241012004000021 1
 
0.3%
cdff2241012004000020 1
 
0.3%
cdff2241012004000019 1
 
0.3%
cdff2241012004000018 1
 
0.3%
cdff2241012004000017 1
 
0.3%
cdff2241012004000016 1
 
0.3%
Other values (342) 342
97.2%
2024-05-11T06:51:58.459003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2445
34.7%
2 1074
15.3%
1 993
14.1%
F 704
 
10.0%
4 437
 
6.2%
C 352
 
5.0%
D 352
 
5.0%
9 215
 
3.1%
3 123
 
1.7%
5 104
 
1.5%
Other values (3) 241
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5632
80.0%
Uppercase Letter 1408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2445
43.4%
2 1074
19.1%
1 993
17.6%
4 437
 
7.8%
9 215
 
3.8%
3 123
 
2.2%
5 104
 
1.8%
8 90
 
1.6%
6 89
 
1.6%
7 62
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 704
50.0%
C 352
25.0%
D 352
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5632
80.0%
Latin 1408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2445
43.4%
2 1074
19.1%
1 993
17.6%
4 437
 
7.8%
9 215
 
3.8%
3 123
 
2.2%
5 104
 
1.8%
8 90
 
1.6%
6 89
 
1.6%
7 62
 
1.1%
Latin
ValueCountFrequency (%)
F 704
50.0%
C 352
25.0%
D 352
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2445
34.7%
2 1074
15.3%
1 993
14.1%
F 704
 
10.0%
4 437
 
6.2%
C 352
 
5.0%
D 352
 
5.0%
9 215
 
3.1%
3 123
 
1.7%
5 104
 
1.5%
Other values (3) 241
 
3.4%

인허가일자
Date

Distinct315
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1985-05-17 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T06:51:59.051297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:51:59.768718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)28.0%
Missing327
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean20081352
Minimum19991011
Maximum20111206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:00.509999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991011
5-th percentile20014353
Q120090427
median20090427
Q320090427
95-th percentile20090427
Maximum20111206
Range120195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27016.643
Coefficient of variation (CV)0.0013453597
Kurtosis7.7282269
Mean20081352
Median Absolute Deviation (MAD)0
Skewness-2.8340936
Sum5.020338 × 108
Variance7.2989898 × 108
MonotonicityNot monotonic
2024-05-11T06:52:01.025879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20090427 19
 
5.4%
19991011 1
 
0.3%
20071226 1
 
0.3%
20000211 1
 
0.3%
20070921 1
 
0.3%
20071112 1
 
0.3%
20111206 1
 
0.3%
(Missing) 327
92.9%
ValueCountFrequency (%)
19991011 1
 
0.3%
20000211 1
 
0.3%
20070921 1
 
0.3%
20071112 1
 
0.3%
20071226 1
 
0.3%
20090427 19
5.4%
20111206 1
 
0.3%
ValueCountFrequency (%)
20111206 1
 
0.3%
20090427 19
5.4%
20071226 1
 
0.3%
20071112 1
 
0.3%
20070921 1
 
0.3%
20000211 1
 
0.3%
19991011 1
 
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3
266 
1
46 
4
40 

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 (%)
3 266
75.6%
1 46
 
13.1%
4 40
 
11.4%

Length

2024-05-11T06:52:01.678566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:02.166544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 266
75.6%
1 46
 
13.1%
4 40
 
11.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
266 
영업/정상
46 
취소/말소/만료/정지/중지
40 

Length

Max length14
Median length2
Mean length3.7556818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
75.6%
영업/정상 46
 
13.1%
취소/말소/만료/정지/중지 40
 
11.4%

Length

2024-05-11T06:52:02.641010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:02.987324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
75.6%
영업/정상 46
 
13.1%
취소/말소/만료/정지/중지 40
 
11.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
03
266 
13
45 
31
 
24
35
 
15
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0056818
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
03 266
75.6%
13 45
 
12.8%
31 24
 
6.8%
35 15
 
4.3%
BBBB 1
 
0.3%
30 1
 
0.3%

Length

2024-05-11T06:52:03.390374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:03.771570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 266
75.6%
13 45
 
12.8%
31 24
 
6.8%
35 15
 
4.3%
bbbb 1
 
0.3%
30 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
266 
영업중
45 
등록취소
 
24
직권말소
 
15
<NA>
 
1

Length

Max length4
Median length2
Mean length2.3607955
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
75.6%
영업중 45
 
12.8%
등록취소 24
 
6.8%
직권말소 15
 
4.3%
<NA> 1
 
0.3%
허가취소 1
 
0.3%

Length

2024-05-11T06:52:04.146933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:04.542150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
75.6%
영업중 45
 
12.8%
등록취소 24
 
6.8%
직권말소 15
 
4.3%
na 1
 
0.3%
허가취소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct221
Distinct (%)78.6%
Missing71
Missing (%)20.2%
Memory size2.9 KiB
Minimum1996-06-21 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T06:52:04.889248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:52:05.348354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

전화번호
Text

MISSING 

Distinct235
Distinct (%)95.5%
Missing106
Missing (%)30.1%
Memory size2.9 KiB
2024-05-11T06:52:06.002226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.3170732
Min length2

Characters and Unicode

Total characters2046
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

Unique226 ?
Unique (%)91.9%

Sample

1st row619-5484
2nd row625-9207
3rd row0685-9399
4th row859-3228
5th row681-6239
ValueCountFrequency (%)
863-7434 3
 
1.2%
863-9851 3
 
1.2%
2060-4748 2
 
0.8%
859-7040 2
 
0.8%
853-3422 2
 
0.8%
867-7797 2
 
0.8%
0-0000 2
 
0.8%
830-1131 2
 
0.8%
0000-0000 2
 
0.8%
866-5146 1
 
0.4%
Other values (225) 225
91.5%
2024-05-11T06:52:07.283993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 304
14.9%
- 249
12.2%
6 245
12.0%
5 186
9.1%
2 183
8.9%
0 181
8.8%
3 156
7.6%
1 151
7.4%
4 144
7.0%
7 132
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1797
87.8%
Dash Punctuation 249
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 304
16.9%
6 245
13.6%
5 186
10.4%
2 183
10.2%
0 181
10.1%
3 156
8.7%
1 151
8.4%
4 144
8.0%
7 132
7.3%
9 115
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2046
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 304
14.9%
- 249
12.2%
6 245
12.0%
5 186
9.1%
2 183
8.9%
0 181
8.8%
3 156
7.6%
1 151
7.4%
4 144
7.0%
7 132
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 304
14.9%
- 249
12.2%
6 245
12.0%
5 186
9.1%
2 183
8.9%
0 181
8.8%
3 156
7.6%
1 151
7.4%
4 144
7.0%
7 132
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)20.4%
Missing29
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean152830.58
Minimum152020
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:08.210607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152020
5-th percentile152800
Q1152815
median152854
Q3152874.5
95-th percentile152894
Maximum152906
Range886
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation120.02788
Coefficient of variation (CV)0.0007853656
Kurtosis34.317628
Mean152830.58
Median Absolute Deviation (MAD)29
Skewness-5.7230328
Sum49364277
Variance14406.692
MonotonicityNot monotonic
2024-05-11T06:52:08.716157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152801 26
 
7.4%
152800 23
 
6.5%
152872 21
 
6.0%
152880 17
 
4.8%
152871 17
 
4.8%
152854 11
 
3.1%
152862 10
 
2.8%
152896 10
 
2.8%
152883 10
 
2.8%
152873 10
 
2.8%
Other values (56) 168
47.7%
(Missing) 29
 
8.2%
ValueCountFrequency (%)
152020 1
 
0.3%
152050 3
 
0.9%
152090 3
 
0.9%
152710 1
 
0.3%
152715 1
 
0.3%
152721 2
 
0.6%
152723 1
 
0.3%
152800 23
6.5%
152801 26
7.4%
152802 1
 
0.3%
ValueCountFrequency (%)
152906 2
 
0.6%
152897 2
 
0.6%
152896 10
2.8%
152894 8
2.3%
152893 4
 
1.1%
152892 8
2.3%
152889 4
 
1.1%
152888 2
 
0.6%
152887 1
 
0.3%
152886 2
 
0.6%

지번주소
Text

Distinct319
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T06:52:09.407175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length24.28125
Min length19

Characters and Unicode

Total characters8547
Distinct characters106
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

Unique291 ?
Unique (%)82.7%

Sample

1st row서울특별시 구로구 오류동 30-4번지
2nd row서울특별시 구로구 오류동 137-53번지
3rd row서울특별시 구로구 고척동 46-64번지
4th row서울특별시 구로구 구로동 113-6번지
5th row서울특별시 구로구 고척동 268-8번지
ValueCountFrequency (%)
서울특별시 352
23.1%
구로구 352
23.1%
구로동 161
 
10.6%
가리봉동 63
 
4.1%
오류동 46
 
3.0%
개봉동 39
 
2.6%
고척동 25
 
1.6%
1층 23
 
1.5%
2층 14
 
0.9%
궁동 11
 
0.7%
Other values (347) 437
28.7%
2024-05-11T06:52:10.782337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1497
17.5%
구 867
 
10.1%
로 514
 
6.0%
1 450
 
5.3%
동 358
 
4.2%
지 357
 
4.2%
서 353
 
4.1%
시 353
 
4.1%
울 352
 
4.1%
별 352
 
4.1%
Other values (96) 3094
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4843
56.7%
Decimal Number 1760
 
20.6%
Space Separator 1497
 
17.5%
Dash Punctuation 347
 
4.1%
Open Punctuation 35
 
0.4%
Close Punctuation 35
 
0.4%
Other Punctuation 14
 
0.2%
Uppercase Letter 11
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 867
17.9%
로 514
10.6%
동 358
7.4%
지 357
7.4%
서 353
7.3%
시 353
7.3%
울 352
7.3%
별 352
7.3%
특 352
7.3%
번 336
 
6.9%
Other values (74) 649
13.4%
Decimal Number
ValueCountFrequency (%)
1 450
25.6%
2 267
15.2%
3 208
11.8%
4 159
 
9.0%
7 156
 
8.9%
5 149
 
8.5%
0 116
 
6.6%
6 100
 
5.7%
8 81
 
4.6%
9 74
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
C 3
27.3%
J 1
 
9.1%
S 1
 
9.1%
A 1
 
9.1%
D 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4843
56.7%
Common 3693
43.2%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 867
17.9%
로 514
10.6%
동 358
7.4%
지 357
7.4%
서 353
7.3%
시 353
7.3%
울 352
7.3%
별 352
7.3%
특 352
7.3%
번 336
 
6.9%
Other values (74) 649
13.4%
Common
ValueCountFrequency (%)
1497
40.5%
1 450
 
12.2%
- 347
 
9.4%
2 267
 
7.2%
3 208
 
5.6%
4 159
 
4.3%
7 156
 
4.2%
5 149
 
4.0%
0 116
 
3.1%
6 100
 
2.7%
Other values (6) 244
 
6.6%
Latin
ValueCountFrequency (%)
B 4
36.4%
C 3
27.3%
J 1
 
9.1%
S 1
 
9.1%
A 1
 
9.1%
D 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4843
56.7%
ASCII 3704
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1497
40.4%
1 450
 
12.1%
- 347
 
9.4%
2 267
 
7.2%
3 208
 
5.6%
4 159
 
4.3%
7 156
 
4.2%
5 149
 
4.0%
0 116
 
3.1%
6 100
 
2.7%
Other values (12) 255
 
6.9%
Hangul
ValueCountFrequency (%)
구 867
17.9%
로 514
10.6%
동 358
7.4%
지 357
7.4%
서 353
7.3%
시 353
7.3%
울 352
7.3%
별 352
7.3%
특 352
7.3%
번 336
 
6.9%
Other values (74) 649
13.4%

도로명주소
Text

MISSING 

Distinct303
Distinct (%)91.3%
Missing20
Missing (%)5.7%
Memory size2.9 KiB
2024-05-11T06:52:11.592350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length27.906627
Min length23

Characters and Unicode

Total characters9265
Distinct characters123
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

Unique279 ?
Unique (%)84.0%

Sample

1st row서울특별시 구로구 경인로25길 28 (오류동)
2nd row서울특별시 구로구 오류로8길 75 (오류동)
3rd row서울특별시 구로구 구로중앙로28길 35-5 (구로동)
4th row서울특별시 구로구 고척로40길 13-2 (고척동)
5th row서울특별시 구로구 고척로33길 43 (고척동)
ValueCountFrequency (%)
서울특별시 332
19.3%
구로구 332
19.3%
구로동 121
 
7.0%
구로동로 47
 
2.7%
가리봉동 47
 
2.7%
오류동 42
 
2.4%
개봉동 31
 
1.8%
경인로 26
 
1.5%
고척동 18
 
1.0%
남부순환로105길 14
 
0.8%
Other values (346) 709
41.2%
2024-05-11T06:52:13.185701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1688
18.2%
구 917
 
9.9%
로 908
 
9.8%
동 419
 
4.5%
( 367
 
4.0%
) 367
 
4.0%
시 344
 
3.7%
서 334
 
3.6%
특 332
 
3.6%
별 332
 
3.6%
Other values (113) 3257
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5385
58.1%
Space Separator 1688
 
18.2%
Decimal Number 1293
 
14.0%
Open Punctuation 367
 
4.0%
Close Punctuation 367
 
4.0%
Other Punctuation 108
 
1.2%
Dash Punctuation 42
 
0.5%
Uppercase Letter 10
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 917
17.0%
로 908
16.9%
동 419
 
7.8%
시 344
 
6.4%
서 334
 
6.2%
특 332
 
6.2%
별 332
 
6.2%
울 332
 
6.2%
길 188
 
3.5%
봉 114
 
2.1%
Other values (91) 1165
21.6%
Decimal Number
ValueCountFrequency (%)
1 292
22.6%
2 220
17.0%
3 133
10.3%
5 125
9.7%
7 116
 
9.0%
0 104
 
8.0%
4 78
 
6.0%
6 76
 
5.9%
8 75
 
5.8%
9 74
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
B 3
30.0%
A 1
 
10.0%
J 1
 
10.0%
S 1
 
10.0%
D 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1688
100.0%
Open Punctuation
ValueCountFrequency (%)
( 367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 367
100.0%
Other Punctuation
ValueCountFrequency (%)
, 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5385
58.1%
Common 3870
41.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 917
17.0%
로 908
16.9%
동 419
 
7.8%
시 344
 
6.4%
서 334
 
6.2%
특 332
 
6.2%
별 332
 
6.2%
울 332
 
6.2%
길 188
 
3.5%
봉 114
 
2.1%
Other values (91) 1165
21.6%
Common
ValueCountFrequency (%)
1688
43.6%
( 367
 
9.5%
) 367
 
9.5%
1 292
 
7.5%
2 220
 
5.7%
3 133
 
3.4%
5 125
 
3.2%
7 116
 
3.0%
, 108
 
2.8%
0 104
 
2.7%
Other values (6) 350
 
9.0%
Latin
ValueCountFrequency (%)
C 3
30.0%
B 3
30.0%
A 1
 
10.0%
J 1
 
10.0%
S 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5385
58.1%
ASCII 3880
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1688
43.5%
( 367
 
9.5%
) 367
 
9.5%
1 292
 
7.5%
2 220
 
5.7%
3 133
 
3.4%
5 125
 
3.2%
7 116
 
3.0%
, 108
 
2.8%
0 104
 
2.7%
Other values (12) 360
 
9.3%
Hangul
ValueCountFrequency (%)
구 917
17.0%
로 908
16.9%
동 419
 
7.8%
시 344
 
6.4%
서 334
 
6.2%
특 332
 
6.2%
별 332
 
6.2%
울 332
 
6.2%
길 188
 
3.5%
봉 114
 
2.1%
Other values (91) 1165
21.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)48.4%
Missing290
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean19992.548
Minimum8228
Maximum152894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:13.660698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8228
5-th percentile8269.1
Q18305
median8319.5
Q38388
95-th percentile152891.4
Maximum152894
Range144666
Interquartile range (IQR)83

Descriptive statistics

Standard deviation39682.355
Coefficient of variation (CV)1.9848573
Kurtosis8.2319747
Mean19992.548
Median Absolute Deviation (MAD)58.5
Skewness3.1571069
Sum1239538
Variance1.5746893 × 109
MonotonicityNot monotonic
2024-05-11T06:52:14.294130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8387 8
 
2.3%
8395 5
 
1.4%
8391 5
 
1.4%
8271 4
 
1.1%
8305 4
 
1.1%
8388 3
 
0.9%
8292 2
 
0.6%
8315 2
 
0.6%
8311 2
 
0.6%
8282 2
 
0.6%
Other values (20) 25
 
7.1%
(Missing) 290
82.4%
ValueCountFrequency (%)
8228 1
 
0.3%
8247 1
 
0.3%
8267 1
 
0.3%
8269 1
 
0.3%
8271 4
1.1%
8282 2
0.6%
8285 1
 
0.3%
8286 1
 
0.3%
8292 2
0.6%
8294 1
 
0.3%
ValueCountFrequency (%)
152894 2
 
0.6%
152893 1
 
0.3%
152892 1
 
0.3%
152880 1
 
0.3%
8395 5
1.4%
8391 5
1.4%
8388 3
 
0.9%
8387 8
2.3%
8385 1
 
0.3%
8384 2
 
0.6%

사업장명
Text

Distinct293
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T06:52:15.220771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length5.3806818
Min length1

Characters and Unicode

Total characters1894
Distinct characters288
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)71.0%

Sample

1st row할머니
2nd row억조
3rd row동광
4th row샛별
5th row쿵후
ValueCountFrequency (%)
게임랜드 11
 
3.0%
스타게임랜드 6
 
1.7%
인형나라 4
 
1.1%
구로게임랜드 4
 
1.1%
제일오락실 3
 
0.8%
대박게임랜드 3
 
0.8%
현대게임랜드 3
 
0.8%
인형천국 3
 
0.8%
대박 2
 
0.6%
황금성 2
 
0.6%
Other values (285) 320
88.6%
2024-05-11T06:52:16.605814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 191
 
10.1%
게 190
 
10.0%
드 143
 
7.6%
랜 117
 
6.2%
장 58
 
3.1%
오 52
 
2.7%
스 51
 
2.7%
실 40
 
2.1%
락 39
 
2.1%
이 30
 
1.6%
Other values (278) 983
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1839
97.1%
Uppercase Letter 27
 
1.4%
Decimal Number 13
 
0.7%
Space Separator 9
 
0.5%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 191
 
10.4%
게 190
 
10.3%
드 143
 
7.8%
랜 117
 
6.4%
장 58
 
3.2%
오 52
 
2.8%
스 51
 
2.8%
실 40
 
2.2%
락 39
 
2.1%
이 30
 
1.6%
Other values (254) 928
50.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
11.1%
N 3
11.1%
P 3
11.1%
U 2
 
7.4%
O 2
 
7.4%
D 2
 
7.4%
M 2
 
7.4%
R 2
 
7.4%
G 1
 
3.7%
S 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
0 4
30.8%
1 3
23.1%
5 1
 
7.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1839
97.1%
Common 28
 
1.5%
Latin 27
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 191
 
10.4%
게 190
 
10.3%
드 143
 
7.8%
랜 117
 
6.4%
장 58
 
3.2%
오 52
 
2.8%
스 51
 
2.8%
실 40
 
2.2%
락 39
 
2.1%
이 30
 
1.6%
Other values (254) 928
50.5%
Latin
ValueCountFrequency (%)
T 3
11.1%
N 3
11.1%
P 3
11.1%
U 2
 
7.4%
O 2
 
7.4%
D 2
 
7.4%
M 2
 
7.4%
R 2
 
7.4%
G 1
 
3.7%
S 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
9
32.1%
2 5
17.9%
0 4
14.3%
1 3
 
10.7%
( 2
 
7.1%
. 2
 
7.1%
) 2
 
7.1%
5 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1839
97.1%
ASCII 55
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 191
 
10.4%
게 190
 
10.3%
드 143
 
7.8%
랜 117
 
6.4%
장 58
 
3.2%
오 52
 
2.8%
스 51
 
2.8%
실 40
 
2.2%
락 39
 
2.1%
이 30
 
1.6%
Other values (254) 928
50.5%
ASCII
ValueCountFrequency (%)
9
16.4%
2 5
 
9.1%
0 4
 
7.3%
T 3
 
5.5%
N 3
 
5.5%
P 3
 
5.5%
1 3
 
5.5%
U 2
 
3.6%
O 2
 
3.6%
D 2
 
3.6%
Other values (14) 19
34.5%

최종수정일자
Date

Distinct168
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2003-04-18 15:20:26
Maximum2024-04-18 13:26:56
2024-05-11T06:52:17.121658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:52:17.583289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
I
331 
U
 
21

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 331
94.0%
U 21
 
6.0%

Length

2024-05-11T06:52:17.942754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:18.249690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 331
94.0%
u 21
 
6.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct22
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2018-08-31 23:59:59.0
330 
2022-12-09 00:02:00.0
 
2
2020-03-14 02:40:00.0
 
1
2023-12-03 23:09:00.0
 
1
2022-10-30 23:05:00.0
 
1
Other values (17)
 
17

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 330
93.8%
2022-12-09 00:02:00.0 2
 
0.6%
2020-03-14 02:40:00.0 1
 
0.3%
2023-12-03 23:09:00.0 1
 
0.3%
2022-10-30 23:05:00.0 1
 
0.3%
2021-05-12 02:40:00.0 1
 
0.3%
2021-04-18 02:40:00.0 1
 
0.3%
2019-07-17 02:40:00.0 1
 
0.3%
2020-05-20 02:40:00.0 1
 
0.3%
2019-07-18 02:40:00.0 1
 
0.3%
Other values (12) 12
 
3.4%

Length

2024-05-11T06:52:18.680747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 330
46.9%
23:59:59.0 330
46.9%
02:40:00.0 8
 
1.1%
23:09:00.0 2
 
0.3%
22:09:00.0 2
 
0.3%
22:06:00.0 2
 
0.3%
2022-12-02 2
 
0.3%
2023-12-03 2
 
0.3%
00:02:00.0 2
 
0.3%
2022-12-09 2
 
0.3%
Other values (22) 22
 
3.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct276
Distinct (%)80.0%
Missing7
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean188830.09
Minimum183995.14
Maximum191280.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:19.177958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183995.14
5-th percentile185853.24
Q1187166.34
median189700.33
Q3190137.17
95-th percentile191141.85
Maximum191280.66
Range7285.5128
Interquartile range (IQR)2970.8329

Descriptive statistics

Standard deviation1786.3942
Coefficient of variation (CV)0.0094603259
Kurtosis-0.87952608
Mean188830.09
Median Absolute Deviation (MAD)584.36586
Skewness-0.72612184
Sum65146382
Variance3191204.3
MonotonicityNot monotonic
2024-05-11T06:52:19.746830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188840.515865617 5
 
1.4%
189580.814678046 4
 
1.1%
190223.799550663 4
 
1.1%
190215.36622834 4
 
1.1%
190112.507705467 3
 
0.9%
187434.769427132 3
 
0.9%
185875.875759586 3
 
0.9%
189967.513003627 3
 
0.9%
190283.539327613 3
 
0.9%
191187.50683561 3
 
0.9%
Other values (266) 310
88.1%
(Missing) 7
 
2.0%
ValueCountFrequency (%)
183995.144929261 1
0.3%
184200.661623067 1
0.3%
184912.346864951 1
0.3%
185127.346612343 1
0.3%
185161.639337097 1
0.3%
185191.586660863 1
0.3%
185195.429628723 1
0.3%
185211.569542743 1
0.3%
185235.150129399 2
0.6%
185247.604519759 1
0.3%
ValueCountFrequency (%)
191280.657696914 2
0.6%
191268.482434255 1
 
0.3%
191239.693382941 2
0.6%
191229.896362573 1
 
0.3%
191225.591920564 1
 
0.3%
191205.791543965 2
0.6%
191191.131566069 1
 
0.3%
191187.50683561 3
0.9%
191186.615758839 2
0.6%
191173.834097241 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct276
Distinct (%)80.0%
Missing7
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean443255.37
Minimum441922.71
Maximum445263.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:20.274326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441922.71
5-th percentile441992.69
Q1442509.48
median443253.61
Q3443782.56
95-th percentile444575.85
Maximum445263.7
Range3340.9893
Interquartile range (IQR)1273.0746

Descriptive statistics

Standard deviation819.99133
Coefficient of variation (CV)0.0018499298
Kurtosis-0.86482593
Mean443255.37
Median Absolute Deviation (MAD)611.34555
Skewness0.12380834
Sum1.529231 × 108
Variance672385.79
MonotonicityNot monotonic
2024-05-11T06:52:20.881560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444306.771104527 5
 
1.4%
443487.143997934 4
 
1.1%
441992.692586009 4
 
1.1%
443118.449828623 4
 
1.1%
442012.171190477 3
 
0.9%
443559.941447823 3
 
0.9%
443592.138806549 3
 
0.9%
442304.502550047 3
 
0.9%
442039.744990308 3
 
0.9%
442350.225867324 3
 
0.9%
Other values (266) 310
88.1%
(Missing) 7
 
2.0%
ValueCountFrequency (%)
441922.711345248 1
 
0.3%
441923.986884714 1
 
0.3%
441929.798809285 1
 
0.3%
441950.139212722 2
0.6%
441950.431750327 1
 
0.3%
441959.448402286 1
 
0.3%
441961.372806 3
0.9%
441966.763645681 1
 
0.3%
441968.468347335 2
0.6%
441970.427503288 1
 
0.3%
ValueCountFrequency (%)
445263.700689907 1
0.3%
445221.889843094 1
0.3%
445075.738139015 1
0.3%
444921.078748984 2
0.6%
444836.673561831 1
0.3%
444771.761464325 1
0.3%
444726.859947358 1
0.3%
444715.218537294 1
0.3%
444700.419715713 1
0.3%
444696.164541254 1
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
게임제공업
323 
일반게임제공업
 
15
<NA>
 
14

Length

Max length7
Median length5
Mean length5.0454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 323
91.8%
일반게임제공업 15
 
4.3%
<NA> 14
 
4.0%

Length

2024-05-11T06:52:21.461070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:21.856271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 323
91.8%
일반게임제공업 15
 
4.3%
na 14
 
4.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
유통관련업
338 
<NA>
 
14

Length

Max length5
Median length5
Mean length4.9602273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 338
96.0%
<NA> 14
 
4.0%

Length

2024-05-11T06:52:22.318234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:22.777054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 338
96.0%
na 14
 
4.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)7.7%
Missing130
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean3.7747748
Minimum0
Maximum25
Zeros25
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:23.379177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0713526
Coefficient of variation (CV)0.81365189
Kurtosis12.563401
Mean3.7747748
Median Absolute Deviation (MAD)1
Skewness2.5888747
Sum838
Variance9.433207
MonotonicityNot monotonic
2024-05-11T06:52:24.032702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 58
16.5%
4 45
 
12.8%
0 25
 
7.1%
2 22
 
6.2%
5 18
 
5.1%
1 15
 
4.3%
6 14
 
4.0%
7 8
 
2.3%
9 5
 
1.4%
8 3
 
0.9%
Other values (7) 9
 
2.6%
(Missing) 130
36.9%
ValueCountFrequency (%)
0 25
7.1%
1 15
 
4.3%
2 22
 
6.2%
3 58
16.5%
4 45
12.8%
5 18
 
5.1%
6 14
 
4.0%
7 8
 
2.3%
8 3
 
0.9%
9 5
 
1.4%
ValueCountFrequency (%)
25 1
 
0.3%
18 1
 
0.3%
16 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
11 2
 
0.6%
10 2
 
0.6%
9 5
1.4%
8 3
 
0.9%
7 8
2.3%

주변환경명
Categorical

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
기타
122 
주택가주변
96 
<NA>
95 
유흥업소밀집지역
27 
학교정화(상대)
 
7
Other values (3)
 
5

Length

Max length8
Median length7
Mean length3.9943182
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row학교정화(상대)
2nd row기타
3rd row<NA>
4th row학교정화(상대)
5th row주택가주변

Common Values

ValueCountFrequency (%)
기타 122
34.7%
주택가주변 96
27.3%
<NA> 95
27.0%
유흥업소밀집지역 27
 
7.7%
학교정화(상대) 7
 
2.0%
아파트지역 3
 
0.9%
학교정화(절대) 1
 
0.3%
결혼예식장주변 1
 
0.3%

Length

2024-05-11T06:52:24.744921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:25.241091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 122
34.7%
주택가주변 96
27.3%
na 95
27.0%
유흥업소밀집지역 27
 
7.7%
학교정화(상대 7
 
2.0%
아파트지역 3
 
0.9%
학교정화(절대 1
 
0.3%
결혼예식장주변 1
 
0.3%

제작취급품목내용
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing340
Missing (%)96.6%
Memory size2.9 KiB
2024-05-11T06:52:25.854258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length26.5
Mean length27.916667
Min length4

Characters and Unicode

Total characters335
Distinct characters102
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

Unique12 ?
Unique (%)100.0%

Sample

1st row블루스카이스타, 마린후레쉬
2nd row사신도(CC-NA-091204-003gh)
3rd rowENJOY7(CC-NA-110119-005
4th row매직포커(제CC-NA-091023-007호)
5th row대왕성(40),대왕바다(20)
ValueCountFrequency (%)
블루스카이스타 1
 
6.7%
마린후레쉬 1
 
6.7%
사신도(cc-na-091204-003gh 1
 
6.7%
enjoy7(cc-na-110119-005 1
 
6.7%
매직포커(제cc-na-091023-007호 1
 
6.7%
대왕성(40),대왕바다(20 1
 
6.7%
골드러쉬 1
 
6.7%
포커 1
 
6.7%
디(제cc-na-110810-001호 1
 
6.7%
불타는불새(40),황금노다지(30),몽키킹포커(25),스콜피온킹(25 1
 
6.7%
Other values (5) 5
33.3%
2024-05-11T06:52:27.313327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
 
9.9%
( 28
 
8.4%
) 27
 
8.1%
, 19
 
5.7%
1 14
 
4.2%
2 13
 
3.9%
- 12
 
3.6%
3 9
 
2.7%
포 8
 
2.4%
C 8
 
2.4%
Other values (92) 164
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
41.2%
Decimal Number 85
25.4%
Open Punctuation 28
 
8.4%
Close Punctuation 27
 
8.1%
Uppercase Letter 21
 
6.3%
Other Punctuation 19
 
5.7%
Dash Punctuation 12
 
3.6%
Space Separator 3
 
0.9%
Lowercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 8
 
5.8%
커 7
 
5.1%
스 5
 
3.6%
불 4
 
2.9%
이 3
 
2.2%
킹 3
 
2.2%
다 3
 
2.2%
타 3
 
2.2%
신 3
 
2.2%
로 3
 
2.2%
Other values (69) 96
69.6%
Decimal Number
ValueCountFrequency (%)
0 33
38.8%
1 14
16.5%
2 13
 
15.3%
3 9
 
10.6%
4 5
 
5.9%
5 4
 
4.7%
9 3
 
3.5%
7 3
 
3.5%
8 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 8
38.1%
N 5
23.8%
A 4
19.0%
E 1
 
4.8%
J 1
 
4.8%
O 1
 
4.8%
Y 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
h 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
51.9%
Hangul 138
41.2%
Latin 23
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 8
 
5.8%
커 7
 
5.1%
스 5
 
3.6%
불 4
 
2.9%
이 3
 
2.2%
킹 3
 
2.2%
다 3
 
2.2%
타 3
 
2.2%
신 3
 
2.2%
로 3
 
2.2%
Other values (69) 96
69.6%
Common
ValueCountFrequency (%)
0 33
19.0%
( 28
16.1%
) 27
15.5%
, 19
10.9%
1 14
8.0%
2 13
 
7.5%
- 12
 
6.9%
3 9
 
5.2%
4 5
 
2.9%
5 4
 
2.3%
Other values (4) 10
 
5.7%
Latin
ValueCountFrequency (%)
C 8
34.8%
N 5
21.7%
A 4
17.4%
g 1
 
4.3%
h 1
 
4.3%
E 1
 
4.3%
J 1
 
4.3%
O 1
 
4.3%
Y 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197
58.8%
Hangul 138
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
16.8%
( 28
14.2%
) 27
13.7%
, 19
9.6%
1 14
7.1%
2 13
 
6.6%
- 12
 
6.1%
3 9
 
4.6%
C 8
 
4.1%
4 5
 
2.5%
Other values (13) 29
14.7%
Hangul
ValueCountFrequency (%)
포 8
 
5.8%
커 7
 
5.1%
스 5
 
3.6%
불 4
 
2.9%
이 3
 
2.2%
킹 3
 
2.2%
다 3
 
2.2%
타 3
 
2.2%
신 3
 
2.2%
로 3
 
2.2%
Other values (69) 96
69.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct249
Distinct (%)75.9%
Missing24
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean88.493963
Minimum0
Maximum468.6
Zeros69
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:27.827270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.725
median68.89
Q3131.97
95-th percentile265.2045
Maximum468.6
Range468.6
Interquartile range (IQR)107.245

Descriptive statistics

Standard deviation89.830375
Coefficient of variation (CV)1.0151017
Kurtosis3.1036229
Mean88.493963
Median Absolute Deviation (MAD)54.57
Skewness1.5893922
Sum29026.02
Variance8069.4962
MonotonicityNot monotonic
2024-05-11T06:52:28.322040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
19.6%
26.4 2
 
0.6%
351.51 2
 
0.6%
90.65 2
 
0.6%
102.68 2
 
0.6%
147.94 2
 
0.6%
79.2 2
 
0.6%
129.54 2
 
0.6%
80.0 2
 
0.6%
131.97 2
 
0.6%
Other values (239) 241
68.5%
(Missing) 24
 
6.8%
ValueCountFrequency (%)
0.0 69
19.6%
12.68 1
 
0.3%
13.13 1
 
0.3%
14.61 1
 
0.3%
15.42 1
 
0.3%
16.63 1
 
0.3%
18.47 1
 
0.3%
18.48 1
 
0.3%
19.04 1
 
0.3%
20.76 1
 
0.3%
ValueCountFrequency (%)
468.6 1
0.3%
450.33 1
0.3%
448.62 1
0.3%
430.08 1
0.3%
418.5 1
0.3%
386.14 1
0.3%
351.51 2
0.6%
337.3 1
0.3%
311.38 1
0.3%
308.58 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)5.3%
Missing146
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean2.0291262
Minimum0
Maximum123
Zeros36
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:28.793698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.75
Maximum123
Range123
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.6226659
Coefficient of variation (CV)4.2494478
Kurtosis191.56662
Mean2.0291262
Median Absolute Deviation (MAD)0
Skewness13.61891
Sum418
Variance74.350367
MonotonicityNot monotonic
2024-05-11T06:52:29.303508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 111
31.5%
0 36
 
10.2%
2 34
 
9.7%
3 10
 
2.8%
5 4
 
1.1%
4 4
 
1.1%
7 3
 
0.9%
6 1
 
0.3%
123 1
 
0.3%
9 1
 
0.3%
(Missing) 146
41.5%
ValueCountFrequency (%)
0 36
 
10.2%
1 111
31.5%
2 34
 
9.7%
3 10
 
2.8%
4 4
 
1.1%
5 4
 
1.1%
6 1
 
0.3%
7 3
 
0.9%
9 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
123 1
 
0.3%
14 1
 
0.3%
9 1
 
0.3%
7 3
 
0.9%
6 1
 
0.3%
5 4
 
1.1%
4 4
 
1.1%
3 10
 
2.8%
2 34
 
9.7%
1 111
31.5%

지하층수
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
210 
0
73 
1
65 
2
 
2
3
 
2

Length

Max length4
Median length4
Mean length2.7897727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
59.7%
0 73
 
20.7%
1 65
 
18.5%
2 2
 
0.6%
3 2
 
0.6%

Length

2024-05-11T06:52:29.773602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:30.272609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
59.7%
0 73
 
20.7%
1 65
 
18.5%
2 2
 
0.6%
3 2
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
근린생활시설
193 
<NA>
139 
판매시설
 
9
위험물저장시설
 
3
기타
 
3
Other values (3)
 
5

Length

Max length7
Median length6
Mean length5.1107955
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 193
54.8%
<NA> 139
39.5%
판매시설 9
 
2.6%
위험물저장시설 3
 
0.9%
기타 3
 
0.9%
단독주택 2
 
0.6%
콘도미니엄 2
 
0.6%
유통시설 1
 
0.3%

Length

2024-05-11T06:52:30.717118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:31.472078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 193
54.8%
na 139
39.5%
판매시설 9
 
2.6%
위험물저장시설 3
 
0.9%
기타 3
 
0.9%
단독주택 2
 
0.6%
콘도미니엄 2
 
0.6%
유통시설 1
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

조명시설조도
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
286 
40
58 
45
 
4
50
 
2
80
 
1

Length

Max length4
Median length4
Mean length3.625
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 286
81.2%
40 58
 
16.5%
45 4
 
1.1%
50 2
 
0.6%
80 1
 
0.3%
30 1
 
0.3%

Length

2024-05-11T06:52:32.090879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:32.566335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
81.2%
40 58
 
16.5%
45 4
 
1.1%
50 2
 
0.6%
80 1
 
0.3%
30 1
 
0.3%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)56.9%
Missing280
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum14
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T06:52:33.040746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30.85
Q150
median59.5
Q386.25
95-th percentile135.75
Maximum193
Range179
Interquartile range (IQR)36.25

Descriptive statistics

Standard deviation35.221632
Coefficient of variation (CV)0.49959762
Kurtosis2.8546686
Mean70.5
Median Absolute Deviation (MAD)17
Skewness1.4983848
Sum5076
Variance1240.5634
MonotonicityNot monotonic
2024-05-11T06:52:33.596557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
51 12
 
3.4%
50 5
 
1.4%
86 4
 
1.1%
102 3
 
0.9%
70 3
 
0.9%
60 3
 
0.9%
42 2
 
0.6%
47 2
 
0.6%
40 2
 
0.6%
59 2
 
0.6%
Other values (31) 34
 
9.7%
(Missing) 280
79.5%
ValueCountFrequency (%)
14 1
0.3%
19 1
0.3%
21 1
0.3%
27 1
0.3%
34 2
0.6%
40 2
0.6%
41 1
0.3%
42 2
0.6%
45 1
0.3%
47 2
0.6%
ValueCountFrequency (%)
193 1
 
0.3%
182 1
 
0.3%
173 1
 
0.3%
155 1
 
0.3%
120 1
 
0.3%
118 1
 
0.3%
114 1
 
0.3%
105 1
 
0.3%
102 3
0.9%
100 2
0.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
330 
청소년이용불가
 
16
전체이용가 및 청소년이용불가
 
5
전체이용가
 
1

Length

Max length15
Median length4
Mean length4.2954545
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 330
93.8%
청소년이용불가 16
 
4.5%
전체이용가 및 청소년이용불가 5
 
1.4%
전체이용가 1
 
0.3%

Length

2024-05-11T06:52:34.056920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:34.397415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
91.2%
청소년이용불가 21
 
5.8%
전체이용가 6
 
1.7%
및 5
 
1.4%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

지역구분명
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
191 
일반주거지역
52 
근린상업지역
36 
준주거지역
21 
준공업지역
 
17
Other values (5)
35 

Length

Max length6
Median length4
Mean length4.7102273
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 191
54.3%
일반주거지역 52
 
14.8%
근린상업지역 36
 
10.2%
준주거지역 21
 
6.0%
준공업지역 17
 
4.8%
일반상업지역 17
 
4.8%
주거지역 10
 
2.8%
상업지역 6
 
1.7%
일반공업지역 1
 
0.3%
공업지역 1
 
0.3%

Length

2024-05-11T06:52:34.878295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:52:35.251106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
54.3%
일반주거지역 52
 
14.8%
근린상업지역 36
 
10.2%
준주거지역 21
 
6.0%
준공업지역 17
 
4.8%
일반상업지역 17
 
4.8%
주거지역 10
 
2.8%
상업지역 6
 
1.7%
일반공업지역 1
 
0.3%
공업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF224101198500000119850517<NA>3폐업03폐업20010326<NA><NA><NA>619-5484<NA>152892서울특별시 구로구 오류동 30-4번지서울특별시 구로구 경인로25길 28 (오류동)<NA>할머니2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186102.18929443925.561423게임제공업유통관련업<NA>학교정화(상대)<NA>0.0<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
13160000CDFF224101198500000319850521<NA>3폐업03폐업19960621<NA><NA><NA>625-9207<NA>152896서울특별시 구로구 오류동 137-53번지서울특별시 구로구 오류로8길 75 (오류동)<NA>억조2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186156.085053443421.066446게임제공업유통관련업<NA>기타<NA>0.0<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>
23160000CDFF224101198500000419850525<NA>3폐업03폐업20040110<NA><NA><NA>0685-9399<NA>152823서울특별시 구로구 고척동 46-64번지<NA><NA>동광2004-01-28 11:04:51I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF224101198500000519850530<NA>3폐업03폐업20020208<NA><NA><NA>859-3228<NA>152844서울특별시 구로구 구로동 113-6번지서울특별시 구로구 구로중앙로28길 35-5 (구로동)<NA>샛별2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189975.256962444184.331505게임제공업유통관련업<NA>학교정화(상대)<NA>0.0<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>
43160000CDFF224101198500000819850531<NA>3폐업03폐업20010209<NA><NA><NA>681-6239<NA>152836서울특별시 구로구 고척동 268-8번지서울특별시 구로구 고척로40길 13-2 (고척동)<NA>쿵후2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186772.015674444486.693463게임제공업유통관련업0주택가주변<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>
53160000CDFF224101198500000919850601<NA>3폐업03폐업19990915<NA><NA><NA>0685-4077<NA>152803서울특별시 구로구 개봉동 73-5번지<NA><NA>중앙2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186418.180742444043.673463게임제공업유통관련업<NA>주택가주변<NA>0.0<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>
63160000CDFF224101198500001219850612<NA>3폐업03폐업20030701<NA><NA><NA>0614-6675<NA>152833서울특별시 구로구 고척동 249-106번지서울특별시 구로구 고척로33길 43 (고척동)<NA>우주2004-06-11 09:25:44I2018-08-31 23:59:59.0<NA>186508.399466444700.419716게임제공업유통관련업<NA>학교정화(상대)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF224101198500001419850705<NA>3폐업03폐업20001229<NA><NA><NA>863-9730<NA>152871서울특별시 구로구 구로동 730-4번지서울특별시 구로구 구로동로26길 65 (구로동)<NA>황금2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>190010.43309443100.54514게임제공업유통관련업0주택가주변<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>
83160000CDFF224101198500001619850830<NA>3폐업03폐업20010328<NA><NA><NA>681-0657<NA>152883서울특별시 구로구 궁동 189-69번지서울특별시 구로구 부일로 969 (궁동)<NA>무궁화2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>185330.269264443485.481054게임제공업유통관련업0주택가주변<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>
93160000CDFF224101198500001719850930<NA>3폐업03폐업19991202<NA><NA><NA>0-0000<NA>152814서울특별시 구로구 개봉동 323-39번지서울특별시 구로구 개봉로17길 42 (개봉동)<NA>미키2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>186978.456453443265.203569게임제공업유통관련업<NA><NA><NA>0.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3423160000CDFF22411320180000012018-09-20<NA>3폐업03폐업2023-03-24<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 1125-6서울특별시 구로구 디지털로32길 97-12, 지층 (구로동)8391드림성인게임장2023-03-24 17:20:45U2022-12-02 22:06:00.0<NA>191187.506836442350.225867<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3433160000CDFF22411320190000012019-08-09<NA>3폐업03폐업2023-03-30<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 135-58 인성의원서울특별시 구로구 남부순환로105길 26, 인성의원 1층 (가리봉동)8395나이스게임랜드2023-03-30 16:01:07U2022-12-04 00:01:00.0<NA>190316.892084441922.711345<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3443160000CDFF224113201900000220191010<NA>3폐업03폐업20221027<NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 47-1 삼익쇼핑서울특별시 구로구 경인로 192, 삼익쇼핑 4층 (오류동)8271오류게임랜드2022-10-27 16:34:45U2021-10-30 22:09:00.0<NA>186015.73837443657.614265<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3453160000CDFF22411320210000012021-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 1125-3 모나미빌딩 4층서울특별시 구로구 시흥대로 565, 모나미빌딩 4층층 (구로동)8391뉴스타게임랜드2023-06-05 10:37:50U2022-12-06 00:08:00.0<NA>191205.791544442398.056828<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3463160000CDFF22411320210000022021-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 131-14서울특별시 구로구 디지털로 227, 지층 (가리봉동)8388골드게임랜드2023-08-31 10:55:32U2022-12-09 00:02:00.0<NA>190283.539328442039.74499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3473160000CDFF224113202100000320211020<NA>3폐업03폐업20220808<NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 135-25 JS호스텔서울특별시 구로구 남부순환로105길 32, JS호스텔 2층 (가리봉동)8395스타게임랜드2022-08-08 13:17:10U2021-12-07 23:00:00.0<NA>190289.173315441929.798809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3483160000CDFF22411320220000012022-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 44-10서울특별시 구로구 경인로 176, 지하1층 102호,123호 (오류동, 시티월드)8271오류게임랜드2023-03-21 09:00:35U2022-12-02 22:03:00.0<NA>185875.87576443592.138807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3493160000CDFF22411320220000022022-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 1124-42 서림빌딩, 지하1층서울특별시 구로구 디지털로32나길 38, 서림빌딩 지하1층 (구로동)8391제일게임랜드2023-08-31 10:55:01U2022-12-09 00:02:00.0<NA>191191.131566442491.818234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3503160000CDFF22411320230000012023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 135-9 1층서울특별시 구로구 디지털로 220, 1층 (가리봉동)8395로얄바카라2023-11-24 11:23:33U2022-10-31 22:06:00.0<NA>190270.260953441970.427503<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3513160000CDFF22411320240000012024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 127-14서울특별시 구로구 남부순환로105길 58, 지층 (가리봉동)8387뉴스타 게임랜드2024-04-18 13:26:56I2023-12-03 22:00:00.0<NA>190160.068723441961.372806<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>