Overview

Dataset statistics

Number of variables56
Number of observations484
Missing cells12429
Missing cells (%)45.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory228.4 KiB
Average record size in memory483.3 B

Variable types

Categorical16
Text6
DateTime5
Unsupported20
Numeric9

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16803/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.3%)Imbalance
영업상태명 is highly imbalanced (51.3%)Imbalance
상세영업상태코드 is highly imbalanced (64.0%)Imbalance
상세영업상태명 is highly imbalanced (64.0%)Imbalance
문화사업자구분명 is highly imbalanced (64.1%)Imbalance
통로너비 is highly imbalanced (96.1%)Imbalance
조명시설조도 is highly imbalanced (73.9%)Imbalance
노래방실수 is highly imbalanced (96.1%)Imbalance
청소년실수 is highly imbalanced (96.1%)Imbalance
제공게임물명 is highly imbalanced (64.7%)Imbalance
지역구분명 is highly imbalanced (51.8%)Imbalance
인허가취소일자 has 437 (90.3%) missing valuesMissing
폐업일자 has 65 (13.4%) missing valuesMissing
휴업시작일자 has 484 (100.0%) missing valuesMissing
휴업종료일자 has 484 (100.0%) missing valuesMissing
재개업일자 has 484 (100.0%) missing valuesMissing
전화번호 has 219 (45.2%) missing valuesMissing
소재지면적 has 484 (100.0%) missing valuesMissing
소재지우편번호 has 112 (23.1%) missing valuesMissing
도로명주소 has 34 (7.0%) missing valuesMissing
도로명우편번호 has 374 (77.3%) missing valuesMissing
업태구분명 has 484 (100.0%) missing valuesMissing
좌표정보(X) has 27 (5.6%) missing valuesMissing
좌표정보(Y) has 27 (5.6%) missing valuesMissing
총층수 has 202 (41.7%) missing valuesMissing
제작취급품목내용 has 413 (85.3%) missing valuesMissing
시설면적 has 37 (7.6%) missing valuesMissing
지상층수 has 183 (37.8%) missing valuesMissing
지하층수 has 227 (46.9%) missing valuesMissing
비상계단여부 has 484 (100.0%) missing valuesMissing
비상구여부 has 484 (100.0%) missing valuesMissing
자동환기여부 has 484 (100.0%) missing valuesMissing
청소년실여부 has 484 (100.0%) missing valuesMissing
특수조명여부 has 484 (100.0%) missing valuesMissing
방음시설여부 has 484 (100.0%) missing valuesMissing
비디오재생기명 has 484 (100.0%) missing valuesMissing
조명시설유무 has 484 (100.0%) missing valuesMissing
음향시설여부 has 484 (100.0%) missing valuesMissing
편의시설여부 has 484 (100.0%) missing valuesMissing
소방시설여부 has 484 (100.0%) missing valuesMissing
총게임기수 has 390 (80.6%) missing valuesMissing
기존게임업외업종명 has 484 (100.0%) missing valuesMissing
공연장형태구분명 has 484 (100.0%) missing valuesMissing
품목명 has 484 (100.0%) missing valuesMissing
최초등록시점 has 484 (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
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 50 (10.3%) zerosZeros
시설면적 has 40 (8.3%) zerosZeros
지상층수 has 43 (8.9%) zerosZeros
지하층수 has 94 (19.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:03:24.816762
Analysis finished2024-05-11 07:03:26.406926
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3110000
484 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 484
100.0%

Length

2024-05-11T16:03:26.508357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:26.649851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 484
100.0%

관리번호
Text

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:03:26.970984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9680
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

Unique484 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011984000001
2nd rowCDFF2241011984000002
3rd rowCDFF2241011985000001
4th rowCDFF2241011985000002
5th rowCDFF2241011985000003
ValueCountFrequency (%)
cdff2241011984000001 1
 
0.2%
cdff2241012005000006 1
 
0.2%
cdff2241012005000035 1
 
0.2%
cdff2241012005000034 1
 
0.2%
cdff2241012005000033 1
 
0.2%
cdff2241012005000032 1
 
0.2%
cdff2241012005000031 1
 
0.2%
cdff2241012005000030 1
 
0.2%
cdff2241012005000029 1
 
0.2%
cdff2241012005000028 1
 
0.2%
Other values (474) 474
97.9%
2024-05-11T16:03:27.590845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3232
33.4%
2 1504
15.5%
1 1423
14.7%
F 968
 
10.0%
4 599
 
6.2%
C 484
 
5.0%
D 484
 
5.0%
9 272
 
2.8%
3 239
 
2.5%
8 152
 
1.6%
Other values (3) 323
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7744
80.0%
Uppercase Letter 1936
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3232
41.7%
2 1504
19.4%
1 1423
18.4%
4 599
 
7.7%
9 272
 
3.5%
3 239
 
3.1%
8 152
 
2.0%
5 148
 
1.9%
6 105
 
1.4%
7 70
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 968
50.0%
C 484
25.0%
D 484
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7744
80.0%
Latin 1936
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3232
41.7%
2 1504
19.4%
1 1423
18.4%
4 599
 
7.7%
9 272
 
3.5%
3 239
 
3.1%
8 152
 
2.0%
5 148
 
1.9%
6 105
 
1.4%
7 70
 
0.9%
Latin
ValueCountFrequency (%)
F 968
50.0%
C 484
25.0%
D 484
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3232
33.4%
2 1504
15.5%
1 1423
14.7%
F 968
 
10.0%
4 599
 
6.2%
C 484
 
5.0%
D 484
 
5.0%
9 272
 
2.8%
3 239
 
2.5%
8 152
 
1.6%
Other values (3) 323
 
3.3%

인허가일자
Date

Distinct443
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum1984-12-24 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T16:03:27.858523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:28.108987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct26
Distinct (%)55.3%
Missing437
Missing (%)90.3%
Memory size3.9 KiB
Minimum2005-10-18 00:00:00
Maximum2024-02-26 00:00:00
2024-05-11T16:03:28.284683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:28.466290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3
403 
4
65 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 403
83.3%
4 65
 
13.4%
1 16
 
3.3%

Length

2024-05-11T16:03:28.650337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:28.800219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 403
83.3%
4 65
 
13.4%
1 16
 
3.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
403 
취소/말소/만료/정지/중지
65 
영업/정상
 
16

Length

Max length14
Median length2
Mean length3.7107438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 403
83.3%
취소/말소/만료/정지/중지 65
 
13.4%
영업/정상 16
 
3.3%

Length

2024-05-11T16:03:28.970978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:29.178683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 403
83.3%
취소/말소/만료/정지/중지 65
 
13.4%
영업/정상 16
 
3.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
03
403 
30
44 
35
 
18
13
 
15
31
 
3

Length

Max length4
Median length2
Mean length2.0041322
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row30
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 403
83.3%
30 44
 
9.1%
35 18
 
3.7%
13 15
 
3.1%
31 3
 
0.6%
BBBB 1
 
0.2%

Length

2024-05-11T16:03:29.400512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:29.581818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 403
83.3%
30 44
 
9.1%
35 18
 
3.7%
13 15
 
3.1%
31 3
 
0.6%
bbbb 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
403 
허가취소
44 
직권말소
 
18
영업중
 
15
등록취소
 
3

Length

Max length4
Median length2
Mean length2.303719
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 403
83.3%
허가취소 44
 
9.1%
직권말소 18
 
3.7%
영업중 15
 
3.1%
등록취소 3
 
0.6%
<NA> 1
 
0.2%

Length

2024-05-11T16:03:29.779308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:29.951911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 403
83.3%
허가취소 44
 
9.1%
직권말소 18
 
3.7%
영업중 15
 
3.1%
등록취소 3
 
0.6%
na 1
 
0.2%

폐업일자
Date

MISSING 

Distinct342
Distinct (%)81.6%
Missing65
Missing (%)13.4%
Memory size3.9 KiB
Minimum1997-01-04 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T16:03:30.113734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:30.299671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

전화번호
Text

MISSING 

Distinct256
Distinct (%)96.6%
Missing219
Missing (%)45.2%
Memory size3.9 KiB
2024-05-11T16:03:30.700836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.3245283
Min length1

Characters and Unicode

Total characters2206
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)93.2%

Sample

1st row373-6452
2nd row359-6315
3rd row0358-7712
4th row353-8414
5th row0353-2514
ValueCountFrequency (%)
373-6042 2
 
0.8%
354-6979 2
 
0.8%
305-5159 2
 
0.8%
353-8414 2
 
0.8%
304-0891 2
 
0.8%
358-7938 2
 
0.8%
358-5372 2
 
0.8%
354-3301 2
 
0.8%
386-9478 2
 
0.8%
354-7436 1
 
0.4%
Other values (246) 246
92.8%
2024-05-11T16:03:31.317687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 441
20.0%
- 272
12.3%
5 266
12.1%
0 236
10.7%
8 198
9.0%
7 149
 
6.8%
4 141
 
6.4%
2 128
 
5.8%
9 127
 
5.8%
1 124
 
5.6%
Other values (2) 124
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1933
87.6%
Dash Punctuation 272
 
12.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 441
22.8%
5 266
13.8%
0 236
12.2%
8 198
10.2%
7 149
 
7.7%
4 141
 
7.3%
2 128
 
6.6%
9 127
 
6.6%
1 124
 
6.4%
6 123
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 441
20.0%
- 272
12.3%
5 266
12.1%
0 236
10.7%
8 198
9.0%
7 149
 
6.8%
4 141
 
6.4%
2 128
 
5.8%
9 127
 
5.8%
1 124
 
5.6%
Other values (2) 124
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 441
20.0%
- 272
12.3%
5 266
12.1%
0 236
10.7%
8 198
9.0%
7 149
 
6.8%
4 141
 
6.4%
2 128
 
5.8%
9 127
 
5.8%
1 124
 
5.6%
Other values (2) 124
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)23.7%
Missing112
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean122839.04
Minimum122010
Maximum122960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:31.589532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122010
5-th percentile122806.1
Q1122834.5
median122874
Q3122907
95-th percentile122951
Maximum122960
Range950
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation173.10742
Coefficient of variation (CV)0.0014092215
Kurtosis17.302057
Mean122839.04
Median Absolute Deviation (MAD)37
Skewness-4.2090634
Sum45696123
Variance29966.179
MonotonicityNot monotonic
2024-05-11T16:03:31.812370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122837 21
 
4.3%
122842 20
 
4.1%
122924 18
 
3.7%
122959 16
 
3.3%
122808 14
 
2.9%
122810 12
 
2.5%
122813 11
 
2.3%
122882 10
 
2.1%
122895 10
 
2.1%
122923 9
 
1.9%
Other values (78) 231
47.7%
(Missing) 112
23.1%
ValueCountFrequency (%)
122010 7
1.4%
122020 2
 
0.4%
122030 2
 
0.4%
122040 2
 
0.4%
122050 2
 
0.4%
122800 1
 
0.2%
122802 2
 
0.4%
122805 1
 
0.2%
122807 1
 
0.2%
122808 14
2.9%
ValueCountFrequency (%)
122960 1
 
0.2%
122959 16
3.3%
122951 6
 
1.2%
122947 1
 
0.2%
122941 4
 
0.8%
122940 1
 
0.2%
122935 7
 
1.4%
122932 1
 
0.2%
122926 2
 
0.4%
122924 18
3.7%

지번주소
Text

Distinct427
Distinct (%)88.6%
Missing2
Missing (%)0.4%
Memory size3.9 KiB
2024-05-11T16:03:32.189791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length25.109959
Min length19

Characters and Unicode

Total characters12103
Distinct characters73
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

Unique385 ?
Unique (%)79.9%

Sample

1st row서울특별시 은평구 증산동 168-1번지 지층
2nd row서울특별시 은평구 구산동 202-3번지 (2층)
3rd row서울특별시 은평구 불광동 327-10번지 (1층)
4th row서울특별시 은평구 갈현동 412-5번지 지층
5th row서울특별시 은평구 대조동 33-1번지
ValueCountFrequency (%)
서울특별시 482
21.0%
은평구 482
21.0%
1층 123
 
5.3%
갈현동 108
 
4.7%
응암동 94
 
4.1%
대조동 90
 
3.9%
2층 61
 
2.7%
지층 53
 
2.3%
불광동 43
 
1.9%
신사동 38
 
1.7%
Other values (406) 726
31.6%
2024-05-11T16:03:32.743761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2263
18.7%
1 641
 
5.3%
지 534
 
4.4%
동 490
 
4.0%
구 484
 
4.0%
서 482
 
4.0%
특 482
 
4.0%
별 482
 
4.0%
시 482
 
4.0%
은 482
 
4.0%
Other values (63) 5281
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6738
55.7%
Decimal Number 2447
 
20.2%
Space Separator 2263
 
18.7%
Dash Punctuation 479
 
4.0%
Close Punctuation 71
 
0.6%
Open Punctuation 71
 
0.6%
Other Punctuation 30
 
0.2%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 534
 
7.9%
동 490
 
7.3%
구 484
 
7.2%
서 482
 
7.2%
특 482
 
7.2%
별 482
 
7.2%
시 482
 
7.2%
은 482
 
7.2%
평 482
 
7.2%
울 482
 
7.2%
Other values (44) 1856
27.5%
Decimal Number
ValueCountFrequency (%)
1 641
26.2%
2 348
14.2%
3 273
11.2%
4 215
 
8.8%
5 214
 
8.7%
9 201
 
8.2%
0 147
 
6.0%
6 142
 
5.8%
8 142
 
5.8%
7 124
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
m 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
2263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6738
55.7%
Common 5362
44.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 534
 
7.9%
동 490
 
7.3%
구 484
 
7.2%
서 482
 
7.2%
특 482
 
7.2%
별 482
 
7.2%
시 482
 
7.2%
은 482
 
7.2%
평 482
 
7.2%
울 482
 
7.2%
Other values (44) 1856
27.5%
Common
ValueCountFrequency (%)
2263
42.2%
1 641
 
12.0%
- 479
 
8.9%
2 348
 
6.5%
3 273
 
5.1%
4 215
 
4.0%
5 214
 
4.0%
9 201
 
3.7%
0 147
 
2.7%
6 142
 
2.6%
Other values (6) 439
 
8.2%
Latin
ValueCountFrequency (%)
d 1
33.3%
m 1
33.3%
c 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6738
55.7%
ASCII 5365
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2263
42.2%
1 641
 
11.9%
- 479
 
8.9%
2 348
 
6.5%
3 273
 
5.1%
4 215
 
4.0%
5 214
 
4.0%
9 201
 
3.7%
0 147
 
2.7%
6 142
 
2.6%
Other values (9) 442
 
8.2%
Hangul
ValueCountFrequency (%)
지 534
 
7.9%
동 490
 
7.3%
구 484
 
7.2%
서 482
 
7.2%
특 482
 
7.2%
별 482
 
7.2%
시 482
 
7.2%
은 482
 
7.2%
평 482
 
7.2%
울 482
 
7.2%
Other values (44) 1856
27.5%

도로명주소
Text

MISSING 

Distinct369
Distinct (%)82.0%
Missing34
Missing (%)7.0%
Memory size3.9 KiB
2024-05-11T16:03:33.281796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length28.328889
Min length22

Characters and Unicode

Total characters12748
Distinct characters87
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

Unique329 ?
Unique (%)73.1%

Sample

1st row서울특별시 은평구 증산로 307 (증산동,지층)
2nd row서울특별시 은평구 서오릉로 201 (구산동,(2층))
3rd row서울특별시 은평구 연서로32길 18 (불광동,(1층))
4th row서울특별시 은평구 통일로87길 8-1 (갈현동,지층)
5th row서울특별시 은평구 진흥로13길 13 (대조동)
ValueCountFrequency (%)
서울특별시 450
 
18.7%
은평구 450
 
18.7%
통일로 98
 
4.1%
대조동 56
 
2.3%
갈현동 50
 
2.1%
연서로 31
 
1.3%
은평로 31
 
1.3%
응암동 29
 
1.2%
2층 27
 
1.1%
3층 26
 
1.1%
Other values (386) 1155
48.1%
2024-05-11T16:03:34.057746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2285
 
17.9%
서 554
 
4.3%
( 512
 
4.0%
) 512
 
4.0%
은 494
 
3.9%
평 494
 
3.9%
1 478
 
3.7%
동 457
 
3.6%
구 452
 
3.5%
울 450
 
3.5%
Other values (77) 6060
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7135
56.0%
Space Separator 2285
 
17.9%
Decimal Number 1809
 
14.2%
Open Punctuation 512
 
4.0%
Close Punctuation 512
 
4.0%
Other Punctuation 396
 
3.1%
Dash Punctuation 96
 
0.8%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 554
 
7.8%
은 494
 
6.9%
평 494
 
6.9%
동 457
 
6.4%
구 452
 
6.3%
울 450
 
6.3%
시 450
 
6.3%
특 450
 
6.3%
별 450
 
6.3%
로 445
 
6.2%
Other values (59) 2439
34.2%
Decimal Number
ValueCountFrequency (%)
1 478
26.4%
2 311
17.2%
3 178
 
9.8%
8 159
 
8.8%
7 153
 
8.5%
5 132
 
7.3%
6 114
 
6.3%
9 104
 
5.7%
0 98
 
5.4%
4 82
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
d 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
2285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 512
100.0%
Close Punctuation
ValueCountFrequency (%)
) 512
100.0%
Other Punctuation
ValueCountFrequency (%)
, 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7135
56.0%
Common 5610
44.0%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 554
 
7.8%
은 494
 
6.9%
평 494
 
6.9%
동 457
 
6.4%
구 452
 
6.3%
울 450
 
6.3%
시 450
 
6.3%
특 450
 
6.3%
별 450
 
6.3%
로 445
 
6.2%
Other values (59) 2439
34.2%
Common
ValueCountFrequency (%)
2285
40.7%
( 512
 
9.1%
) 512
 
9.1%
1 478
 
8.5%
, 396
 
7.1%
2 311
 
5.5%
3 178
 
3.2%
8 159
 
2.8%
7 153
 
2.7%
5 132
 
2.4%
Other values (5) 494
 
8.8%
Latin
ValueCountFrequency (%)
m 1
33.3%
d 1
33.3%
c 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7135
56.0%
ASCII 5613
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2285
40.7%
( 512
 
9.1%
) 512
 
9.1%
1 478
 
8.5%
, 396
 
7.1%
2 311
 
5.5%
3 178
 
3.2%
8 159
 
2.8%
7 153
 
2.7%
5 132
 
2.4%
Other values (8) 497
 
8.9%
Hangul
ValueCountFrequency (%)
서 554
 
7.8%
은 494
 
6.9%
평 494
 
6.9%
동 457
 
6.4%
구 452
 
6.3%
울 450
 
6.3%
시 450
 
6.3%
특 450
 
6.3%
별 450
 
6.3%
로 445
 
6.2%
Other values (59) 2439
34.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)18.2%
Missing374
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean38149.445
Minimum3330
Maximum122959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:34.240762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3330
5-th percentile3330
Q13354.5
median3397
Q3122809
95-th percentile122923
Maximum122959
Range119629
Interquartile range (IQR)119454.5

Descriptive statistics

Standard deviation54505.023
Coefficient of variation (CV)1.4287239
Kurtosis-1.149791
Mean38149.445
Median Absolute Deviation (MAD)67
Skewness0.93351269
Sum4196439
Variance2.9707976 × 109
MonotonicityNot monotonic
2024-05-11T16:03:34.427854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3397 21
 
4.3%
3330 21
 
4.3%
122837 8
 
1.7%
3485 7
 
1.4%
122809 7
 
1.4%
3385 7
 
1.4%
3502 6
 
1.2%
122842 5
 
1.0%
122924 4
 
0.8%
3489 4
 
0.8%
Other values (10) 20
 
4.1%
(Missing) 374
77.3%
ValueCountFrequency (%)
3330 21
4.3%
3331 2
 
0.4%
3345 4
 
0.8%
3350 1
 
0.2%
3368 1
 
0.2%
3385 7
 
1.4%
3397 21
4.3%
3457 1
 
0.2%
3484 3
 
0.6%
3485 7
 
1.4%
ValueCountFrequency (%)
122959 1
 
0.2%
122924 4
0.8%
122923 2
 
0.4%
122878 2
 
0.4%
122873 3
 
0.6%
122842 5
1.0%
122837 8
1.7%
122809 7
1.4%
3502 6
1.2%
3489 4
0.8%

사업장명
Text

Distinct399
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:03:34.755969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length5.7706612
Min length1

Characters and Unicode

Total characters2793
Distinct characters305
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

Unique342 ?
Unique (%)70.7%

Sample

1st row증산게임랜드
2nd row에스터오락실
3rd row연신오락실
4th row소영오락실
5th row훈민오락실
ValueCountFrequency (%)
게임랜드 22
 
4.2%
연신내 6
 
1.1%
현대오락실 5
 
1.0%
로얄게임장 5
 
1.0%
불광오락실 4
 
0.8%
연신내게임랜드 4
 
0.8%
게임월드 4
 
0.8%
게임매니아 4
 
0.8%
게임프라자 4
 
0.8%
연성인게임장 3
 
0.6%
Other values (396) 465
88.4%
2024-05-11T16:03:35.392051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 257
 
9.2%
게 257
 
9.2%
드 186
 
6.7%
랜 147
 
5.3%
오 120
 
4.3%
실 112
 
4.0%
락 111
 
4.0%
장 82
 
2.9%
스 56
 
2.0%
42
 
1.5%
Other values (295) 1423
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2688
96.2%
Space Separator 42
 
1.5%
Decimal Number 30
 
1.1%
Uppercase Letter 11
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Lowercase Letter 5
 
0.2%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 257
 
9.6%
게 257
 
9.6%
드 186
 
6.9%
랜 147
 
5.5%
오 120
 
4.5%
실 112
 
4.2%
락 111
 
4.1%
장 82
 
3.1%
스 56
 
2.1%
이 40
 
1.5%
Other values (270) 1320
49.1%
Uppercase Letter
ValueCountFrequency (%)
P 2
18.2%
T 2
18.2%
U 1
9.1%
C 1
9.1%
E 1
9.1%
X 1
9.1%
O 1
9.1%
A 1
9.1%
L 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 7
23.3%
0 4
13.3%
8 2
 
6.7%
7 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
l 1
20.0%
p 1
20.0%
i 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2688
96.2%
Common 89
 
3.2%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 257
 
9.6%
게 257
 
9.6%
드 186
 
6.9%
랜 147
 
5.5%
오 120
 
4.5%
실 112
 
4.2%
락 111
 
4.1%
장 82
 
3.1%
스 56
 
2.1%
이 40
 
1.5%
Other values (270) 1320
49.1%
Latin
ValueCountFrequency (%)
P 2
12.5%
T 2
12.5%
e 1
 
6.2%
l 1
 
6.2%
p 1
 
6.2%
i 1
 
6.2%
r 1
 
6.2%
U 1
 
6.2%
C 1
 
6.2%
E 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
42
47.2%
1 8
 
9.0%
2 8
 
9.0%
3 7
 
7.9%
) 7
 
7.9%
( 7
 
7.9%
0 4
 
4.5%
8 2
 
2.2%
- 2
 
2.2%
, 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2688
96.2%
ASCII 105
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 257
 
9.6%
게 257
 
9.6%
드 186
 
6.9%
랜 147
 
5.5%
오 120
 
4.5%
실 112
 
4.2%
락 111
 
4.1%
장 82
 
3.1%
스 56
 
2.1%
이 40
 
1.5%
Other values (270) 1320
49.1%
ASCII
ValueCountFrequency (%)
42
40.0%
1 8
 
7.6%
2 8
 
7.6%
3 7
 
6.7%
) 7
 
6.7%
( 7
 
6.7%
0 4
 
3.8%
8 2
 
1.9%
- 2
 
1.9%
P 2
 
1.9%
Other values (15) 16
 
15.2%

최종수정일자
Date

Distinct297
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2003-04-17 19:25:54
Maximum2024-05-03 10:00:48
2024-05-11T16:03:35.613138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:35.836287image/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 size3.9 KiB
I
430 
U
54 

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 430
88.8%
U 54
 
11.2%

Length

2024-05-11T16:03:36.046019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:36.257914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 430
88.8%
u 54
 
11.2%

데이터갱신일자
Date

Distinct48
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T16:03:36.426888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:36.627076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct299
Distinct (%)65.4%
Missing27
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean192750.37
Minimum190528.02
Maximum194250.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:36.860324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190528.02
5-th percentile190741.82
Q1192480.45
median192831.94
Q3193141.63
95-th percentile193826.38
Maximum194250.64
Range3722.6138
Interquartile range (IQR)661.18592

Descriptive statistics

Standard deviation789.27173
Coefficient of variation (CV)0.0040947872
Kurtosis1.0099702
Mean192750.37
Median Absolute Deviation (MAD)342.33342
Skewness-0.86607186
Sum88086917
Variance622949.86
MonotonicityNot monotonic
2024-05-11T16:03:37.080415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193826.37983336 18
 
3.7%
192845.044379709 14
 
2.9%
190741.823964705 12
 
2.5%
192859.357586305 9
 
1.9%
192496.713102085 8
 
1.7%
192985.784429928 7
 
1.4%
193818.798979242 6
 
1.2%
192831.93935169 6
 
1.2%
192888.942502003 6
 
1.2%
193735.91191965 6
 
1.2%
Other values (289) 365
75.4%
(Missing) 27
 
5.6%
ValueCountFrequency (%)
190528.021915993 1
 
0.2%
190531.332179709 1
 
0.2%
190554.41258737 1
 
0.2%
190627.328299901 1
 
0.2%
190648.995217639 2
 
0.4%
190661.668310498 5
1.0%
190700.087159743 1
 
0.2%
190705.326283408 1
 
0.2%
190716.976630467 1
 
0.2%
190727.419366884 1
 
0.2%
ValueCountFrequency (%)
194250.635721591 1
0.2%
194091.161007871 1
0.2%
194046.732973033 1
0.2%
194037.48886727 1
0.2%
194023.15094564 1
0.2%
194013.656820032 1
0.2%
194008.848378787 1
0.2%
193999.968667817 1
0.2%
193996.891120035 1
0.2%
193988.340663932 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct299
Distinct (%)65.4%
Missing27
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean455979.93
Minimum453004.34
Maximum458291.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:37.653906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453004.34
5-th percentile453383.91
Q1454822.55
median456291.78
Q3457310.97
95-th percentile457721.71
Maximum458291.03
Range5286.6913
Interquartile range (IQR)2488.418

Descriptive statistics

Standard deviation1409.3907
Coefficient of variation (CV)0.003090905
Kurtosis-1.0149152
Mean455979.93
Median Absolute Deviation (MAD)1074.9249
Skewness-0.44555687
Sum2.0838283 × 108
Variance1986382
MonotonicityNot monotonic
2024-05-11T16:03:37.860045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456291.782984711 18
 
3.7%
457412.609904875 14
 
2.9%
453328.114670148 12
 
2.5%
457401.253093059 9
 
1.9%
454034.633334964 8
 
1.7%
457270.732166456 7
 
1.4%
456308.321186721 6
 
1.2%
457310.965291155 6
 
1.2%
457417.384961226 6
 
1.2%
456421.405234256 6
 
1.2%
Other values (289) 365
75.4%
(Missing) 27
 
5.6%
ValueCountFrequency (%)
453004.338574203 1
 
0.2%
453033.213863307 1
 
0.2%
453033.23092639 1
 
0.2%
453092.849107913 1
 
0.2%
453328.114670148 12
2.5%
453357.692278244 1
 
0.2%
453371.660420006 1
 
0.2%
453379.921770515 5
1.0%
453384.910806693 1
 
0.2%
453385.382719846 2
 
0.4%
ValueCountFrequency (%)
458291.029836776 1
0.2%
458173.797484836 1
0.2%
458156.648489935 1
0.2%
458145.447305797 1
0.2%
458143.076070791 1
0.2%
458091.971582165 1
0.2%
458084.277066933 1
0.2%
458060.542994577 1
0.2%
458045.720760714 1
0.2%
457969.219257978 2
0.4%

문화체육업종명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
게임제공업
373 
일반게임제공업
78 
<NA>
 
33

Length

Max length7
Median length5
Mean length5.2541322
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 373
77.1%
일반게임제공업 78
 
16.1%
<NA> 33
 
6.8%

Length

2024-05-11T16:03:38.067411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:38.200222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 373
77.1%
일반게임제공업 78
 
16.1%
na 33
 
6.8%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
유통관련업
451 
<NA>
 
33

Length

Max length5
Median length5
Mean length4.9318182
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 451
93.2%
<NA> 33
 
6.8%

Length

2024-05-11T16:03:38.380674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:38.557346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 451
93.2%
na 33
 
6.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)5.7%
Missing202
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean3.8687943
Minimum0
Maximum30
Zeros50
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:38.697780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile8
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6832531
Coefficient of variation (CV)0.9520416
Kurtosis21.467617
Mean3.8687943
Median Absolute Deviation (MAD)1
Skewness3.6710619
Sum1091
Variance13.566354
MonotonicityNot monotonic
2024-05-11T16:03:38.892152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 65
 
13.4%
3 56
 
11.6%
0 50
 
10.3%
5 37
 
7.6%
2 25
 
5.2%
6 16
 
3.3%
7 13
 
2.7%
10 5
 
1.0%
8 4
 
0.8%
1 3
 
0.6%
Other values (6) 8
 
1.7%
(Missing) 202
41.7%
ValueCountFrequency (%)
0 50
10.3%
1 3
 
0.6%
2 25
 
5.2%
3 56
11.6%
4 65
13.4%
5 37
7.6%
6 16
 
3.3%
7 13
 
2.7%
8 4
 
0.8%
9 1
 
0.2%
ValueCountFrequency (%)
30 2
 
0.4%
24 1
 
0.2%
21 1
 
0.2%
15 2
 
0.4%
12 1
 
0.2%
10 5
 
1.0%
9 1
 
0.2%
8 4
 
0.8%
7 13
2.7%
6 16
3.3%

주변환경명
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
187 
기타
120 
주택가주변
87 
유흥업소밀집지역
42 
학교정화(절대)
32 
Other values (3)
 
16

Length

Max length8
Median length7
Mean length4.4132231
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row기타
2nd row학교정화(절대)
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 187
38.6%
기타 120
24.8%
주택가주변 87
18.0%
유흥업소밀집지역 42
 
8.7%
학교정화(절대) 32
 
6.6%
학교정화(상대) 13
 
2.7%
아파트지역 2
 
0.4%
결혼예식장주변 1
 
0.2%

Length

2024-05-11T16:03:39.125320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:39.341920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
38.6%
기타 120
24.8%
주택가주변 87
18.0%
유흥업소밀집지역 42
 
8.7%
학교정화(절대 32
 
6.6%
학교정화(상대 13
 
2.7%
아파트지역 2
 
0.4%
결혼예식장주변 1
 
0.2%

제작취급품목내용
Text

MISSING 

Distinct65
Distinct (%)91.5%
Missing413
Missing (%)85.3%
Memory size3.9 KiB
2024-05-11T16:03:39.654121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length34
Mean length18.901408
Min length3

Characters and Unicode

Total characters1342
Distinct characters160
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)83.1%

Sample

1st row블루스카이스타,마린후레쉬
2nd row씨로켓
3rd row마린후레쉬,블루스카이스타
4th row물노리
5th row트로트포커
ValueCountFrequency (%)
불타는불새 13
 
5.7%
1대 11
 
4.8%
흑룡성 10
 
4.4%
30대 8
 
3.5%
20대 7
 
3.1%
40대 6
 
2.6%
황금포커성 6
 
2.6%
뉴미스터손 6
 
2.6%
2대 5
 
2.2%
대왕황금용 4
 
1.8%
Other values (122) 151
66.5%
2024-05-11T16:03:40.206136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
11.7%
, 102
 
7.6%
대 72
 
5.4%
0 55
 
4.1%
불 44
 
3.3%
포 39
 
2.9%
2 32
 
2.4%
커 29
 
2.2%
3 27
 
2.0%
1 27
 
2.0%
Other values (150) 758
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 843
62.8%
Decimal Number 180
 
13.4%
Space Separator 157
 
11.7%
Other Punctuation 104
 
7.7%
Open Punctuation 21
 
1.6%
Close Punctuation 21
 
1.6%
Lowercase Letter 14
 
1.0%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 72
 
8.5%
불 44
 
5.2%
포 39
 
4.6%
커 29
 
3.4%
타 25
 
3.0%
성 23
 
2.7%
새 22
 
2.6%
는 22
 
2.6%
리 22
 
2.6%
로 21
 
2.5%
Other values (125) 524
62.2%
Decimal Number
ValueCountFrequency (%)
0 55
30.6%
2 32
17.8%
3 27
15.0%
1 27
15.0%
4 13
 
7.2%
5 12
 
6.7%
6 5
 
2.8%
8 3
 
1.7%
7 3
 
1.7%
9 3
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
r 3
21.4%
e 3
21.4%
t 2
14.3%
a 1
 
7.1%
s 1
 
7.1%
v 1
 
7.1%
i 1
 
7.1%
o 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 102
98.1%
. 2
 
1.9%
Space Separator
ValueCountFrequency (%)
157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 840
62.6%
Common 483
36.0%
Latin 16
 
1.2%
Han 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 72
 
8.6%
불 44
 
5.2%
포 39
 
4.6%
커 29
 
3.5%
타 25
 
3.0%
성 23
 
2.7%
새 22
 
2.6%
는 22
 
2.6%
리 22
 
2.6%
로 21
 
2.5%
Other values (122) 521
62.0%
Common
ValueCountFrequency (%)
157
32.5%
, 102
21.1%
0 55
 
11.4%
2 32
 
6.6%
3 27
 
5.6%
1 27
 
5.6%
( 21
 
4.3%
) 21
 
4.3%
4 13
 
2.7%
5 12
 
2.5%
Other values (5) 16
 
3.3%
Latin
ValueCountFrequency (%)
r 3
18.8%
e 3
18.8%
P 2
12.5%
t 2
12.5%
a 1
 
6.2%
s 1
 
6.2%
v 1
 
6.2%
i 1
 
6.2%
o 1
 
6.2%
k 1
 
6.2%
Han
ValueCountFrequency (%)
城 1
33.3%
金 1
33.3%
黃 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 840
62.6%
ASCII 499
37.2%
CJK 2
 
0.1%
CJK Compat Ideographs 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
31.5%
, 102
20.4%
0 55
 
11.0%
2 32
 
6.4%
3 27
 
5.4%
1 27
 
5.4%
( 21
 
4.2%
) 21
 
4.2%
4 13
 
2.6%
5 12
 
2.4%
Other values (15) 32
 
6.4%
Hangul
ValueCountFrequency (%)
대 72
 
8.6%
불 44
 
5.2%
포 39
 
4.6%
커 29
 
3.5%
타 25
 
3.0%
성 23
 
2.7%
새 22
 
2.6%
는 22
 
2.6%
리 22
 
2.6%
로 21
 
2.5%
Other values (122) 521
62.0%
CJK
ValueCountFrequency (%)
城 1
50.0%
黃 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct347
Distinct (%)77.6%
Missing37
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean107.78966
Minimum0
Maximum702.81
Zeros40
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:40.449117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141.875
median91.3
Q3142.08
95-th percentile268.711
Maximum702.81
Range702.81
Interquartile range (IQR)100.205

Descriptive statistics

Standard deviation93.932787
Coefficient of variation (CV)0.87144522
Kurtosis7.9644875
Mean107.78966
Median Absolute Deviation (MAD)50.78
Skewness2.1621276
Sum48181.98
Variance8823.3685
MonotonicityNot monotonic
2024-05-11T16:03:40.832023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
 
8.3%
155.61 7
 
1.4%
189.98 7
 
1.4%
228.43 5
 
1.0%
162.78 5
 
1.0%
142.08 5
 
1.0%
385.85 4
 
0.8%
120.0 3
 
0.6%
50.0 3
 
0.6%
137.19 3
 
0.6%
Other values (337) 365
75.4%
(Missing) 37
 
7.6%
ValueCountFrequency (%)
0.0 40
8.3%
14.43 1
 
0.2%
15.0 1
 
0.2%
16.6 1
 
0.2%
18.24 1
 
0.2%
18.3 1
 
0.2%
18.81 1
 
0.2%
20.16 1
 
0.2%
20.46 1
 
0.2%
21.33 1
 
0.2%
ValueCountFrequency (%)
702.81 1
 
0.2%
618.96 2
0.4%
483.09 1
 
0.2%
443.57 1
 
0.2%
418.84 1
 
0.2%
385.85 4
0.8%
375.2 1
 
0.2%
374.0 1
 
0.2%
351.27 1
 
0.2%
339.07 1
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)4.7%
Missing183
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean2.6677741
Minimum0
Maximum24
Zeros43
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:41.061776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.019259
Coefficient of variation (CV)1.1317521
Kurtosis21.437484
Mean2.6677741
Median Absolute Deviation (MAD)1
Skewness3.8144605
Sum803
Variance9.1159247
MonotonicityNot monotonic
2024-05-11T16:03:41.282017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 82
16.9%
3 51
 
10.5%
2 46
 
9.5%
0 43
 
8.9%
4 35
 
7.2%
5 20
 
4.1%
6 9
 
1.9%
7 5
 
1.0%
8 3
 
0.6%
13 2
 
0.4%
Other values (4) 5
 
1.0%
(Missing) 183
37.8%
ValueCountFrequency (%)
0 43
8.9%
1 82
16.9%
2 46
9.5%
3 51
10.5%
4 35
7.2%
5 20
 
4.1%
6 9
 
1.9%
7 5
 
1.0%
8 3
 
0.6%
12 1
 
0.2%
ValueCountFrequency (%)
24 2
 
0.4%
21 1
 
0.2%
16 1
 
0.2%
13 2
 
0.4%
12 1
 
0.2%
8 3
 
0.6%
7 5
 
1.0%
6 9
 
1.9%
5 20
4.1%
4 35
7.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.3%
Missing227
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.78988327
Minimum0
Maximum8
Zeros94
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:41.480244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95331186
Coefficient of variation (CV)1.2069022
Kurtosis21.496908
Mean0.78988327
Median Absolute Deviation (MAD)0
Skewness3.7036122
Sum203
Variance0.9088035
MonotonicityNot monotonic
2024-05-11T16:03:41.680801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 145
30.0%
0 94
19.4%
2 10
 
2.1%
3 4
 
0.8%
6 3
 
0.6%
8 1
 
0.2%
(Missing) 227
46.9%
ValueCountFrequency (%)
0 94
19.4%
1 145
30.0%
2 10
 
2.1%
3 4
 
0.8%
6 3
 
0.6%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
6 3
 
0.6%
3 4
 
0.8%
2 10
 
2.1%
1 145
30.0%
0 94
19.4%

건물용도명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
248 
근린생활시설
212 
판매시설
 
22
유통시설
 
1
숙박시설
 
1

Length

Max length6
Median length4
Mean length4.8760331
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> 248
51.2%
근린생활시설 212
43.8%
판매시설 22
 
4.5%
유통시설 1
 
0.2%
숙박시설 1
 
0.2%

Length

2024-05-11T16:03:41.911842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:42.077037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
51.2%
근린생활시설 212
43.8%
판매시설 22
 
4.5%
유통시설 1
 
0.2%
숙박시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
482 
0
 
2

Length

Max length4
Median length4
Mean length3.9876033
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> 482
99.6%
0 2
 
0.4%

Length

2024-05-11T16:03:42.252027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:42.401521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 482
99.6%
0 2
 
0.4%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
435 
40
45 
50
 
2
0
 
2

Length

Max length4
Median length4
Mean length3.7933884
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> 435
89.9%
40 45
 
9.3%
50 2
 
0.4%
0 2
 
0.4%

Length

2024-05-11T16:03:42.572365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:42.731797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 435
89.9%
40 45
 
9.3%
50 2
 
0.4%
0 2
 
0.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
482 
0
 
2

Length

Max length4
Median length4
Mean length3.9876033
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> 482
99.6%
0 2
 
0.4%

Length

2024-05-11T16:03:42.938624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:43.172701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 482
99.6%
0 2
 
0.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
482 
0
 
2

Length

Max length4
Median length4
Mean length3.9876033
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> 482
99.6%
0 2
 
0.4%

Length

2024-05-11T16:03:43.368580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:43.547415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 482
99.6%
0 2
 
0.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)56.4%
Missing390
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean94.297872
Minimum12
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-11T16:03:43.743148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile36.75
Q170
median86
Q3101.5
95-th percentile203.45
Maximum227
Range215
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation45.101517
Coefficient of variation (CV)0.47828775
Kurtosis1.9122456
Mean94.297872
Median Absolute Deviation (MAD)16
Skewness1.2898969
Sum8864
Variance2034.1469
MonotonicityNot monotonic
2024-05-11T16:03:43.966373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 7
 
1.4%
80 5
 
1.0%
90 5
 
1.0%
70 4
 
0.8%
100 4
 
0.8%
60 4
 
0.8%
67 4
 
0.8%
91 3
 
0.6%
75 3
 
0.6%
50 2
 
0.4%
Other values (43) 53
 
11.0%
(Missing) 390
80.6%
ValueCountFrequency (%)
12 1
0.2%
16 1
0.2%
22 1
0.2%
25 1
0.2%
27 1
0.2%
42 1
0.2%
50 2
0.4%
51 2
0.4%
52 1
0.2%
55 1
0.2%
ValueCountFrequency (%)
227 2
0.4%
220 1
0.2%
218 1
0.2%
208 1
0.2%
201 1
0.2%
200 1
0.2%
165 1
0.2%
152 2
0.4%
150 2
0.4%
144 2
0.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
403 
청소년이용불가
77 
전체이용가
 
3
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.5061983
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> 403
83.3%
청소년이용불가 77
 
15.9%
전체이용가 3
 
0.6%
전체이용가 및 청소년이용불가 1
 
0.2%

Length

2024-05-11T16:03:44.180640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:44.335749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 403
82.9%
청소년이용불가 78
 
16.0%
전체이용가 4
 
0.8%
및 1
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size4.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
347 
일반주거지역
39 
상업지역
 
23
일반상업지역
 
23
주거지역
 
22
Other values (5)
 
30

Length

Max length6
Median length4
Mean length4.3491736
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> 347
71.7%
일반주거지역 39
 
8.1%
상업지역 23
 
4.8%
일반상업지역 23
 
4.8%
주거지역 22
 
4.5%
근린상업지역 20
 
4.1%
공업지역 3
 
0.6%
녹지지역 3
 
0.6%
준주거지역 3
 
0.6%
전용주거지역 1
 
0.2%

Length

2024-05-11T16:03:44.526229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:44.703204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 347
71.7%
일반주거지역 39
 
8.1%
상업지역 23
 
4.8%
일반상업지역 23
 
4.8%
주거지역 22
 
4.5%
근린상업지역 20
 
4.1%
공업지역 3
 
0.6%
녹지지역 3
 
0.6%
준주거지역 3
 
0.6%
전용주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF224101198400000119841224200705084취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>373-6452<NA>122935서울특별시 은평구 증산동 168-1번지 지층서울특별시 은평구 증산로 307 (증산동,지층)<NA>증산게임랜드2007-10-08 11:37:50I2018-08-31 23:59:59.0<NA>191980.585308453585.73179게임제공업유통관련업<NA>기타<NA>141.1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFF224101198400000219841228<NA>3폐업03폐업20050412<NA><NA><NA>359-6315<NA>122823서울특별시 은평구 구산동 202-3번지 (2층)서울특별시 은평구 서오릉로 201 (구산동,(2층))<NA>에스터오락실2005-04-13 09:16:24I2018-08-31 23:59:59.0<NA>192087.613821456819.511145게임제공업유통관련업<NA>학교정화(절대)<NA>180.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF224101198500000119850208<NA>3폐업03폐업20060730<NA><NA><NA>0358-7712<NA>122861서울특별시 은평구 불광동 327-10번지 (1층)서울특별시 은평구 연서로32길 18 (불광동,(1층))<NA>연신오락실2006-08-07 17:38:40I2018-08-31 23:59:59.0<NA>193241.515713457414.688406게임제공업유통관련업<NA>기타<NA>28.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFF224101198500000219850316<NA>3폐업03폐업20010625<NA><NA><NA>353-8414<NA>122810서울특별시 은평구 갈현동 412-5번지 지층서울특별시 은평구 통일로87길 8-1 (갈현동,지층)<NA>소영오락실2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192759.56696457908.624021게임제공업유통관련업<NA>기타<NA>27.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFF224101198500000319850401<NA>3폐업03폐업20020117<NA><NA><NA>0353-2514<NA>122837서울특별시 은평구 대조동 33-1번지서울특별시 은평구 진흥로13길 13 (대조동)<NA>훈민오락실2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193309.066059456354.894677게임제공업유통관련업<NA>기타<NA>34.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFF224101198500000419850404<NA>3폐업03폐업20000318<NA><NA><NA>354-6979<NA>122959서울특별시 은평구 갈현동 456-32번지 1층서울특별시 은평구 연서로29길 5 (갈현동,1층)<NA>어 뮤즈 월드2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192824.491212457366.707837게임제공업유통관련업<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>
63110000CDFF224101198500000519850404<NA>3폐업03폐업19990323<NA><NA><NA>303-2811<NA>122882서울특별시 은평구 신사동 34-2번지 38서울특별시 은평구 증산로21길 7 (신사동,38)<NA>무지게2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192341.044566454833.052122게임제공업유통관련업<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>
73110000CDFF224101198500000619850409<NA>3폐업03폐업20010320<NA><NA><NA>0373-9679<NA>122891서울특별시 은평구 신사동 340-10번지서울특별시 은평구 증산로15길 16 (신사동)<NA>파워컴퓨터게임장2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192089.05009454099.698501게임제공업유통관련업<NA>기타<NA>27.0<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>
83110000CDFF224101198500000719850415<NA>3폐업03폐업20060504<NA><NA><NA>0387-1579<NA>122859서울특별시 은평구 불광동 309-0번지 (1층)서울특별시 은평구 연서로 252 (불광동,(1층))<NA>세종오락실2006-05-04 13:16:58I2018-08-31 23:59:59.0<NA>193119.718313457463.914507게임제공업유통관련업<NA>기타<NA>33.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFF224101198500000819850422<NA>3폐업03폐업20001006<NA><NA><NA>0304-3003<NA>122919서울특별시 은평구 응암동 349-18번지서울특별시 은평구 응암로16가길 12-6 (응암동)<NA>꿈나무오락실2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192905.069119454242.543131게임제공업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4743110000CDFF22411320220000072022-08-18<NA>3폐업03폐업2023-11-29<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-120 2~3층서울특별시 은평구 통일로 707, 2,3층 (대조동)3397대신게임장2023-11-29 16:47:11U2022-11-02 00:01:00.0<NA>193826.379833456291.782985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4753110000CDFF22411320220000082022-09-21<NA>3폐업03폐업2023-06-13<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-34 지하1층서울특별시 은평구 통일로 709, 지하1층 (대조동)33971번가 게임랜드2023-06-14 09:28:23U2022-12-05 23:06:00.0<NA>193818.798979456308.321187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4763110000CDFF22411320230000012023-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 398-4 인락빌딩 5층서울특별시 은평구 연서로29길 8-8, 인락빌딩 5층 (갈현동)3330로얄 연신내 게임랜드2023-03-22 17:56:12U2022-12-02 22:04:00.0<NA>192845.04438457412.609905<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4773110000CDFF22411320230000022023-03-13<NA>3폐업03폐업2023-09-13<NA><NA><NA>02-351-4214<NA><NA>서울특별시 은평구 갈현동 398-6 4층서울특별시 은평구 통일로 855-9, 4층 (갈현동)3330애플게임장2023-09-13 16:25:17U2022-12-08 23:05:00.0<NA>192859.357586457401.253093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4783110000CDFF22411320230000032023-04-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 14-19 3층서울특별시 은평구 통일로 727-3, 3층 (대조동)3397황금게임랜드2024-02-01 11:17:24U2023-12-02 00:03:00.0<NA>193697.548096456437.101099<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4793110000CDFF22411320230000042023-06-19<NA>3폐업03폐업2024-04-29<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-34 지하1층서울특별시 은평구 통일로 709, 지하1층 (대조동)3397불광게임랜드2024-04-29 11:32:45U2023-12-05 00:01:00.0<NA>193818.798979456308.321187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4803110000CDFF22411320230000052023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 398-6서울특별시 은평구 통일로 855-9, 4층 (갈현동)3330팡팡게임랜드2024-01-09 17:46:06U2023-11-30 23:01:00.0<NA>192859.357586457401.253093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4813110000CDFF22411320230000062023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-120서울특별시 은평구 통일로 707, 2,3층 (대조동)3397우주 게임장2024-01-09 17:49:10U2023-11-30 23:01:00.0<NA>193826.379833456291.782985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4823110000CDFF22411320240000012024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 197-2 102호서울특별시 은평구 연서로28길 10, 1층 102호 (대조동)3385연신내 불새 게임랜드2024-04-26 13:32:06I2023-12-03 22:08:00.0<NA>192953.690583457274.490435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4833110000CDFF22411320240000022024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-34서울특별시 은평구 통일로 709, 지하1층 (대조동)3397대조게임랜드2024-05-03 10:00:48I2023-12-05 00:05:00.0<NA>193818.798979456308.321187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>