Overview

Dataset statistics

Number of variables43
Number of observations4502
Missing cells108671
Missing cells (%)56.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory372.0 B

Variable types

Categorical10
Text6
DateTime3
Numeric10
Unsupported14

Dataset

Description청소년게임 제공업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=U1Z4T9NU23XXMK5ISTQC438940&infSeq=1

Alerts

인허가취소일자 has constant value ""Constant
영업상태명 is highly imbalanced (57.8%)Imbalance
문화체육업종명 is highly imbalanced (99.4%)Imbalance
문화사업자구분명 is highly imbalanced (99.4%)Imbalance
주변환경명 is highly imbalanced (96.9%)Imbalance
통로너비 is highly imbalanced (74.4%)Imbalance
조명시설조도량 is highly imbalanced (88.6%)Imbalance
노래방실수 is highly imbalanced (74.4%)Imbalance
청소년실수 is highly imbalanced (74.4%)Imbalance
제공게임물명 is highly imbalanced (77.8%)Imbalance
인허가취소일자 has 4501 (> 99.9%) missing valuesMissing
영업상태구분코드 has 4214 (93.6%) missing valuesMissing
폐업일자 has 2459 (54.6%) missing valuesMissing
소재지시설전화번호 has 4488 (99.7%) missing valuesMissing
소재지면적정보 has 4502 (100.0%) missing valuesMissing
도로명우편번호 has 4216 (93.6%) missing valuesMissing
소재지도로명주소 has 59 (1.3%) missing valuesMissing
업태구분명정보 has 4502 (100.0%) missing valuesMissing
X좌표값 has 4220 (93.7%) missing valuesMissing
Y좌표값 has 4220 (93.7%) missing valuesMissing
총층수 has 4290 (95.3%) missing valuesMissing
제작취급품목내용 has 4316 (95.9%) missing valuesMissing
지상층수 has 4281 (95.1%) missing valuesMissing
지하층수 has 4296 (95.4%) missing valuesMissing
비상계단여부 has 4502 (100.0%) missing valuesMissing
비상구여부 has 4502 (100.0%) missing valuesMissing
자동환기여부 has 4502 (100.0%) missing valuesMissing
청소년실여부 has 4502 (100.0%) missing valuesMissing
특수조명여부 has 4502 (100.0%) missing valuesMissing
방음시설여부 has 4502 (100.0%) missing valuesMissing
비디오재생기명 has 4502 (100.0%) missing valuesMissing
조명시설유무 has 4502 (100.0%) missing valuesMissing
음향시설여부 has 4502 (100.0%) missing valuesMissing
편의시설여부 has 4502 (100.0%) missing valuesMissing
공연장형태구분명 has 4502 (100.0%) missing valuesMissing
품목명 has 4502 (100.0%) missing valuesMissing
시설면적(㎡) is highly skewed (γ1 = 31.3031034)Skewed
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 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
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
총층수 has 177 (3.9%) zerosZeros
지상층수 has 168 (3.7%) zerosZeros
지하층수 has 180 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 22:15:21.251067
Analysis finished2023-12-10 22:15:22.496049
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
부천시
470 
고양시
363 
평택시
313 
안산시
298 
수원시
285 
Other values (26)
2773 

Length

Max length4
Median length3
Mean length3.1028432
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 470
 
10.4%
고양시 363
 
8.1%
평택시 313
 
7.0%
안산시 298
 
6.6%
수원시 285
 
6.3%
의정부시 270
 
6.0%
시흥시 246
 
5.5%
성남시 238
 
5.3%
용인시 226
 
5.0%
화성시 197
 
4.4%
Other values (21) 1596
35.5%

Length

2023-12-11T07:15:22.547294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 470
 
10.4%
고양시 363
 
8.1%
평택시 313
 
7.0%
안산시 298
 
6.6%
수원시 285
 
6.3%
의정부시 270
 
6.0%
시흥시 246
 
5.5%
성남시 238
 
5.3%
용인시 226
 
5.0%
화성시 197
 
4.4%
Other values (21) 1596
35.5%

사업장명
Text

Distinct2919
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
2023-12-11T07:15:22.739483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length6.1297201
Min length1

Characters and Unicode

Total characters27596
Distinct characters711
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2304 ?
Unique (%)51.2%

Sample

1st rowGame Zone
2nd row픽미업 인형뽑기
3rd row이찌방
4th row뽑겟몬스터
5th row못된 강아지
ValueCountFrequency (%)
게임랜드 347
 
6.1%
게임장 166
 
2.9%
인형뽑기 56
 
1.0%
놀이터 47
 
0.8%
뽀끼뽀끼 46
 
0.8%
인형뽑기방 42
 
0.7%
뽑기방 40
 
0.7%
오락실 34
 
0.6%
대박게임랜드 33
 
0.6%
뽑기 32
 
0.6%
Other values (2904) 4890
85.3%
2023-12-11T07:15:23.056815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 2359
 
8.5%
임 2355
 
8.5%
드 1633
 
5.9%
랜 1446
 
5.2%
1239
 
4.5%
뽑 899
 
3.3%
장 791
 
2.9%
기 701
 
2.5%
스 515
 
1.9%
이 473
 
1.7%
Other values (701) 15185
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24030
87.1%
Space Separator 1239
 
4.5%
Uppercase Letter 1089
 
3.9%
Lowercase Letter 502
 
1.8%
Decimal Number 315
 
1.1%
Other Punctuation 149
 
0.5%
Close Punctuation 126
 
0.5%
Open Punctuation 125
 
0.5%
Dash Punctuation 16
 
0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 2359
 
9.8%
임 2355
 
9.8%
드 1633
 
6.8%
랜 1446
 
6.0%
뽑 899
 
3.7%
장 791
 
3.3%
기 701
 
2.9%
스 515
 
2.1%
이 473
 
2.0%
인 411
 
1.7%
Other values (622) 12447
51.8%
Uppercase Letter
ValueCountFrequency (%)
O 100
 
9.2%
E 86
 
7.9%
P 86
 
7.9%
C 79
 
7.3%
A 78
 
7.2%
N 74
 
6.8%
G 71
 
6.5%
T 57
 
5.2%
S 48
 
4.4%
M 47
 
4.3%
Other values (16) 363
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 65
12.9%
e 57
11.4%
n 55
11.0%
a 37
 
7.4%
t 33
 
6.6%
i 27
 
5.4%
s 24
 
4.8%
y 24
 
4.8%
u 23
 
4.6%
c 20
 
4.0%
Other values (14) 137
27.3%
Decimal Number
ValueCountFrequency (%)
2 89
28.3%
0 84
26.7%
1 41
13.0%
8 21
 
6.7%
7 21
 
6.7%
9 18
 
5.7%
5 14
 
4.4%
4 13
 
4.1%
3 10
 
3.2%
6 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 55
36.9%
# 32
21.5%
& 23
15.4%
: 11
 
7.4%
? 11
 
7.4%
, 7
 
4.7%
？ 5
 
3.4%
' 2
 
1.3%
* 2
 
1.3%
! 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
1239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24026
87.1%
Common 1973
 
7.1%
Latin 1593
 
5.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 2359
 
9.8%
임 2355
 
9.8%
드 1633
 
6.8%
랜 1446
 
6.0%
뽑 899
 
3.7%
장 791
 
3.3%
기 701
 
2.9%
스 515
 
2.1%
이 473
 
2.0%
인 411
 
1.7%
Other values (618) 12443
51.8%
Latin
ValueCountFrequency (%)
O 100
 
6.3%
E 86
 
5.4%
P 86
 
5.4%
C 79
 
5.0%
A 78
 
4.9%
N 74
 
4.6%
G 71
 
4.5%
o 65
 
4.1%
T 57
 
3.6%
e 57
 
3.6%
Other values (42) 840
52.7%
Common
ValueCountFrequency (%)
1239
62.8%
) 126
 
6.4%
( 125
 
6.3%
2 89
 
4.5%
0 84
 
4.3%
. 55
 
2.8%
1 41
 
2.1%
# 32
 
1.6%
& 23
 
1.2%
8 21
 
1.1%
Other values (17) 138
 
7.0%
Han
ValueCountFrequency (%)
愛 1
25.0%
游 1
25.0%
中 1
25.0%
樂 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24016
87.0%
ASCII 3559
 
12.9%
Compat Jamo 10
 
< 0.1%
None 5
 
< 0.1%
CJK 3
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 2359
 
9.8%
임 2355
 
9.8%
드 1633
 
6.8%
랜 1446
 
6.0%
뽑 899
 
3.7%
장 791
 
3.3%
기 701
 
2.9%
스 515
 
2.1%
이 473
 
2.0%
인 411
 
1.7%
Other values (616) 12433
51.8%
ASCII
ValueCountFrequency (%)
1239
34.8%
) 126
 
3.5%
( 125
 
3.5%
O 100
 
2.8%
2 89
 
2.5%
E 86
 
2.4%
P 86
 
2.4%
0 84
 
2.4%
C 79
 
2.2%
A 78
 
2.2%
Other values (66) 1467
41.2%
Compat Jamo
ValueCountFrequency (%)
ㅋ 9
90.0%
ㅐ 1
 
10.0%
None
ValueCountFrequency (%)
？ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
CJK
ValueCountFrequency (%)
愛 1
33.3%
游 1
33.3%
中 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

인허가일자
Date

Distinct1926
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
Minimum1985-04-10 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:15:23.191765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:23.528585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4501
Missing (%)> 99.9%
Memory size35.3 KiB
Minimum2023-04-18 00:00:00
Maximum2023-04-18 00:00:00
2023-12-11T07:15:23.608829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:23.680462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태구분코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)2.1%
Missing4214
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean10.236111
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:23.751608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median13
Q313
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.8788617
Coefficient of variation (CV)0.7697124
Kurtosis3.0468983
Mean10.236111
Median Absolute Deviation (MAD)0
Skewness1.5333494
Sum2948
Variance62.076461
MonotonicityNot monotonic
2023-12-11T07:15:23.830335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 151
 
3.4%
3 118
 
2.6%
35 16
 
0.4%
25 1
 
< 0.1%
31 1
 
< 0.1%
15 1
 
< 0.1%
(Missing) 4214
93.6%
ValueCountFrequency (%)
3 118
2.6%
13 151
3.4%
15 1
 
< 0.1%
25 1
 
< 0.1%
31 1
 
< 0.1%
35 16
 
0.4%
ValueCountFrequency (%)
35 16
 
0.4%
31 1
 
< 0.1%
25 1
 
< 0.1%
15 1
 
< 0.1%
13 151
3.4%
3 118
2.6%

영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
폐업 등
2577 
운영중
1634 
영업중
 
151
폐업
 
118
직권말소
 
16
Other values (4)
 
6

Length

Max length4
Median length4
Mean length3.5506442
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row영업중
2nd row영업중
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
폐업 등 2577
57.2%
운영중 1634
36.3%
영업중 151
 
3.4%
폐업 118
 
2.6%
직권말소 16
 
0.4%
휴업 등 3
 
0.1%
영업정지 1
 
< 0.1%
등록취소 1
 
< 0.1%
전출 1
 
< 0.1%

Length

2023-12-11T07:15:23.939294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:24.064109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2695
38.1%
등 2580
36.4%
운영중 1634
23.1%
영업중 151
 
2.1%
직권말소 16
 
0.2%
휴업 3
 
< 0.1%
영업정지 1
 
< 0.1%
등록취소 1
 
< 0.1%
전출 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1313
Distinct (%)64.3%
Missing2459
Missing (%)54.6%
Memory size35.3 KiB
Minimum2007-10-24 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:15:24.170986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:15:24.283212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing4488
Missing (%)99.7%
Memory size35.3 KiB
2023-12-11T07:15:24.422496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.071429
Min length7

Characters and Unicode

Total characters155
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

Unique14 ?
Unique (%)100.0%

Sample

1st row031-589-5691
2nd row031-921-2001
3rd row1577-7937
4th row031-575-5011
5th row032-325-1333
ValueCountFrequency (%)
031-589-5691 1
 
7.1%
031-921-2001 1
 
7.1%
1577-7937 1
 
7.1%
031-575-5011 1
 
7.1%
032-325-1333 1
 
7.1%
6653192 1
 
7.1%
031-282-4947 1
 
7.1%
031-475-0924 1
 
7.1%
031-341-7578 1
 
7.1%
031-770-7504 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T07:15:24.667265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 23
14.8%
1 22
14.2%
- 22
14.2%
0 19
12.3%
7 18
11.6%
2 13
8.4%
5 11
7.1%
9 9
 
5.8%
4 8
 
5.2%
8 6
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
85.8%
Dash Punctuation 22
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 23
17.3%
1 22
16.5%
0 19
14.3%
7 18
13.5%
2 13
9.8%
5 11
8.3%
9 9
 
6.8%
4 8
 
6.0%
8 6
 
4.5%
6 4
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 23
14.8%
1 22
14.2%
- 22
14.2%
0 19
12.3%
7 18
11.6%
2 13
8.4%
5 11
7.1%
9 9
 
5.8%
4 8
 
5.2%
8 6
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 23
14.8%
1 22
14.2%
- 22
14.2%
0 19
12.3%
7 18
11.6%
2 13
8.4%
5 11
7.1%
9 9
 
5.8%
4 8
 
5.2%
8 6
 
3.9%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

도로명우편번호
Text

MISSING 

Distinct220
Distinct (%)76.9%
Missing4216
Missing (%)93.6%
Memory size35.3 KiB
2023-12-11T07:15:24.969365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.006993
Min length5

Characters and Unicode

Total characters1432
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

Unique180 ?
Unique (%)62.9%

Sample

1st row12458
2nd row12452
3rd row10401
4th row10392
5th row10545
ValueCountFrequency (%)
10403 6
 
2.1%
10071 5
 
1.7%
10892 4
 
1.4%
12066 4
 
1.4%
17955 4
 
1.4%
15015 4
 
1.4%
17023 3
 
1.0%
11813 3
 
1.0%
12913 3
 
1.0%
10915 3
 
1.0%
Other values (210) 247
86.4%
2023-12-11T07:15:25.379003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 384
26.8%
0 166
11.6%
4 141
 
9.8%
5 141
 
9.8%
2 122
 
8.5%
7 106
 
7.4%
6 102
 
7.1%
9 96
 
6.7%
3 91
 
6.4%
8 82
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1431
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 384
26.8%
0 166
11.6%
4 141
 
9.9%
5 141
 
9.9%
2 122
 
8.5%
7 106
 
7.4%
6 102
 
7.1%
9 96
 
6.7%
3 91
 
6.4%
8 82
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 384
26.8%
0 166
11.6%
4 141
 
9.8%
5 141
 
9.8%
2 122
 
8.5%
7 106
 
7.4%
6 102
 
7.1%
9 96
 
6.7%
3 91
 
6.4%
8 82
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 384
26.8%
0 166
11.6%
4 141
 
9.8%
5 141
 
9.8%
2 122
 
8.5%
7 106
 
7.4%
6 102
 
7.1%
9 96
 
6.7%
3 91
 
6.4%
8 82
 
5.7%

소재지도로명주소
Text

MISSING 

Distinct4083
Distinct (%)91.9%
Missing59
Missing (%)1.3%
Memory size35.3 KiB
2023-12-11T07:15:25.635504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length51
Mean length31.005177
Min length13

Characters and Unicode

Total characters137756
Distinct characters532
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3781 ?
Unique (%)85.1%

Sample

1st row경기도 가평군 청평면 북한강로 2245 (주)대교마이다스호텔앤리조트
2nd row경기도 가평군 청평면 청평중앙로 15
3rd row경기도 가평군 조종면 현창로38번길 4
4th row경기도 가평군 가평읍 가화로 110
5th row경기도 가평군 가평읍 가화로 55-12
ValueCountFrequency (%)
경기도 4443
 
15.8%
1층 856
 
3.1%
부천시 470
 
1.7%
고양시 363
 
1.3%
평택시 310
 
1.1%
안산시 295
 
1.1%
수원시 284
 
1.0%
의정부시 270
 
1.0%
2층 264
 
0.9%
시흥시 246
 
0.9%
Other values (4828) 20231
72.2%
2023-12-11T07:15:26.025853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24836
 
18.0%
1 6942
 
5.0%
시 4812
 
3.5%
기 4580
 
3.3%
, 4575
 
3.3%
도 4571
 
3.3%
경 4550
 
3.3%
동 4279
 
3.1%
로 4157
 
3.0%
( 3833
 
2.8%
Other values (522) 70621
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75637
54.9%
Space Separator 24836
 
18.0%
Decimal Number 23791
 
17.3%
Other Punctuation 4593
 
3.3%
Open Punctuation 3833
 
2.8%
Close Punctuation 3832
 
2.8%
Dash Punctuation 889
 
0.6%
Uppercase Letter 267
 
0.2%
Math Symbol 57
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4812
 
6.4%
기 4580
 
6.1%
도 4571
 
6.0%
경 4550
 
6.0%
동 4279
 
5.7%
로 4157
 
5.5%
층 2135
 
2.8%
길 2040
 
2.7%
호 1883
 
2.5%
구 1715
 
2.3%
Other values (463) 40915
54.1%
Uppercase Letter
ValueCountFrequency (%)
B 65
24.3%
A 34
12.7%
C 17
 
6.4%
I 16
 
6.0%
K 15
 
5.6%
E 12
 
4.5%
M 11
 
4.1%
D 10
 
3.7%
G 10
 
3.7%
L 10
 
3.7%
Other values (16) 67
25.1%
Decimal Number
ValueCountFrequency (%)
1 6942
29.2%
2 3740
15.7%
0 2585
 
10.9%
3 2435
 
10.2%
4 1697
 
7.1%
5 1587
 
6.7%
6 1304
 
5.5%
7 1267
 
5.3%
8 1143
 
4.8%
9 1091
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
v 1
 
7.7%
y 1
 
7.7%
t 1
 
7.7%
i 1
 
7.7%
c 1
 
7.7%
r 1
 
7.7%
w 1
 
7.7%
o 1
 
7.7%
x 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 4575
99.6%
. 16
 
0.3%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 2
25.0%
Ⅵ 1
 
12.5%
Ⅲ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
24836
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3833
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3832
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 889
100.0%
Math Symbol
ValueCountFrequency (%)
~ 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75637
54.9%
Common 61831
44.9%
Latin 288
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4812
 
6.4%
기 4580
 
6.1%
도 4571
 
6.0%
경 4550
 
6.0%
동 4279
 
5.7%
로 4157
 
5.5%
층 2135
 
2.8%
길 2040
 
2.7%
호 1883
 
2.5%
구 1715
 
2.3%
Other values (463) 40915
54.1%
Latin
ValueCountFrequency (%)
B 65
22.6%
A 34
 
11.8%
C 17
 
5.9%
I 16
 
5.6%
K 15
 
5.2%
E 12
 
4.2%
M 11
 
3.8%
D 10
 
3.5%
G 10
 
3.5%
L 10
 
3.5%
Other values (30) 88
30.6%
Common
ValueCountFrequency (%)
24836
40.2%
1 6942
 
11.2%
, 4575
 
7.4%
( 3833
 
6.2%
) 3832
 
6.2%
2 3740
 
6.0%
0 2585
 
4.2%
3 2435
 
3.9%
4 1697
 
2.7%
5 1587
 
2.6%
Other values (9) 5769
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75628
54.9%
ASCII 62111
45.1%
Compat Jamo 9
 
< 0.1%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24836
40.0%
1 6942
 
11.2%
, 4575
 
7.4%
( 3833
 
6.2%
) 3832
 
6.2%
2 3740
 
6.0%
0 2585
 
4.2%
3 2435
 
3.9%
4 1697
 
2.7%
5 1587
 
2.6%
Other values (45) 6049
 
9.7%
Hangul
ValueCountFrequency (%)
시 4812
 
6.4%
기 4580
 
6.1%
도 4571
 
6.0%
경 4550
 
6.0%
동 4279
 
5.7%
로 4157
 
5.5%
층 2135
 
2.8%
길 2040
 
2.7%
호 1883
 
2.5%
구 1715
 
2.3%
Other values (462) 40906
54.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 2
25.0%
Ⅵ 1
 
12.5%
Ⅲ 1
 
12.5%

소재지지번주소
Text

Distinct4062
Distinct (%)90.3%
Missing5
Missing (%)0.1%
Memory size35.3 KiB
2023-12-11T07:15:26.296962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length25.264398
Min length11

Characters and Unicode

Total characters113614
Distinct characters459
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3725 ?
Unique (%)82.8%

Sample

1st row경기도 가평군 청평면 삼회리 74-1
2nd row경기도 가평군 청평면 청평리 451-1
3rd row경기도 가평군 조종면 현리 409-11번지
4th row경기도 가평군 가평읍 읍내리 474-18번지
5th row경기도 가평군 가평읍 대곡리 166-1번지
ValueCountFrequency (%)
경기도 4497
 
18.7%
1층 482
 
2.0%
부천시 470
 
2.0%
2층 374
 
1.6%
고양시 363
 
1.5%
평택시 312
 
1.3%
안산시 298
 
1.2%
수원시 285
 
1.2%
의정부시 270
 
1.1%
시흥시 246
 
1.0%
Other values (4908) 16396
68.3%
2023-12-11T07:15:26.668457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19735
 
17.4%
1 6220
 
5.5%
시 4708
 
4.1%
지 4702
 
4.1%
도 4618
 
4.1%
기 4606
 
4.1%
경 4520
 
4.0%
번 4164
 
3.7%
동 4117
 
3.6%
- 3755
 
3.3%
Other values (449) 52469
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64692
56.9%
Decimal Number 24624
 
21.7%
Space Separator 19735
 
17.4%
Dash Punctuation 3755
 
3.3%
Other Punctuation 273
 
0.2%
Close Punctuation 158
 
0.1%
Open Punctuation 158
 
0.1%
Uppercase Letter 158
 
0.1%
Math Symbol 42
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4708
 
7.3%
지 4702
 
7.3%
도 4618
 
7.1%
기 4606
 
7.1%
경 4520
 
7.0%
번 4164
 
6.4%
동 4117
 
6.4%
구 1685
 
2.6%
층 1389
 
2.1%
호 1333
 
2.1%
Other values (392) 28850
44.6%
Uppercase Letter
ValueCountFrequency (%)
B 47
29.7%
A 21
13.3%
C 11
 
7.0%
K 9
 
5.7%
I 8
 
5.1%
E 7
 
4.4%
J 6
 
3.8%
F 6
 
3.8%
M 6
 
3.8%
S 5
 
3.2%
Other values (14) 32
20.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
r 2
12.5%
i 2
12.5%
v 1
 
6.2%
d 1
 
6.2%
n 1
 
6.2%
f 1
 
6.2%
y 1
 
6.2%
t 1
 
6.2%
c 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 6220
25.3%
2 3223
13.1%
3 2426
 
9.9%
0 2357
 
9.6%
4 2144
 
8.7%
5 1895
 
7.7%
7 1861
 
7.6%
6 1669
 
6.8%
8 1602
 
6.5%
9 1227
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 269
98.5%
. 2
 
0.7%
/ 1
 
0.4%
& 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
19735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3755
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64692
56.9%
Common 48745
42.9%
Latin 177
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4708
 
7.3%
지 4702
 
7.3%
도 4618
 
7.1%
기 4606
 
7.1%
경 4520
 
7.0%
번 4164
 
6.4%
동 4117
 
6.4%
구 1685
 
2.6%
층 1389
 
2.1%
호 1333
 
2.1%
Other values (392) 28850
44.6%
Latin
ValueCountFrequency (%)
B 47
26.6%
A 21
11.9%
C 11
 
6.2%
K 9
 
5.1%
I 8
 
4.5%
E 7
 
4.0%
J 6
 
3.4%
F 6
 
3.4%
M 6
 
3.4%
S 5
 
2.8%
Other values (28) 51
28.8%
Common
ValueCountFrequency (%)
19735
40.5%
1 6220
 
12.8%
- 3755
 
7.7%
2 3223
 
6.6%
3 2426
 
5.0%
0 2357
 
4.8%
4 2144
 
4.4%
5 1895
 
3.9%
7 1861
 
3.8%
6 1669
 
3.4%
Other values (9) 3460
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64681
56.9%
ASCII 48919
43.1%
Compat Jamo 11
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19735
40.3%
1 6220
 
12.7%
- 3755
 
7.7%
2 3223
 
6.6%
3 2426
 
5.0%
0 2357
 
4.8%
4 2144
 
4.4%
5 1895
 
3.9%
7 1861
 
3.8%
6 1669
 
3.4%
Other values (45) 3634
 
7.4%
Hangul
ValueCountFrequency (%)
시 4708
 
7.3%
지 4702
 
7.3%
도 4618
 
7.1%
기 4606
 
7.1%
경 4520
 
7.0%
번 4164
 
6.4%
동 4117
 
6.4%
구 1685
 
2.6%
층 1389
 
2.1%
호 1333
 
2.1%
Other values (391) 28839
44.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

소재지우편번호
Real number (ℝ)

Distinct1306
Distinct (%)29.2%
Missing35
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean44592.223
Minimum10012
Maximum487892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:26.788573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10012
5-th percentile10364
Q111813
median14582
Q317027
95-th percentile425845.7
Maximum487892
Range477880
Interquartile range (IQR)5214

Descriptive statistics

Standard deviation110369.34
Coefficient of variation (CV)2.4750804
Kurtosis9.3897927
Mean44592.223
Median Absolute Deviation (MAD)2596
Skewness3.3655667
Sum1.9919346 × 108
Variance1.218139 × 1010
MonotonicityNot monotonic
2023-12-11T07:15:26.930000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14548 45
 
1.0%
11695 41
 
0.9%
13992 35
 
0.8%
17955 34
 
0.8%
15865 33
 
0.7%
14644 31
 
0.7%
10401 30
 
0.7%
17911 28
 
0.6%
11692 28
 
0.6%
11650 27
 
0.6%
Other values (1296) 4135
91.8%
(Missing) 35
 
0.8%
ValueCountFrequency (%)
10012 1
 
< 0.1%
10016 2
 
< 0.1%
10018 16
0.4%
10019 12
0.3%
10020 1
 
< 0.1%
10025 1
 
< 0.1%
10027 1
 
< 0.1%
10038 1
 
< 0.1%
10039 1
 
< 0.1%
10043 1
 
< 0.1%
ValueCountFrequency (%)
487892 2
< 0.1%
487883 1
 
< 0.1%
487851 1
 
< 0.1%
487831 1
 
< 0.1%
487823 2
< 0.1%
487804 1
 
< 0.1%
486903 1
 
< 0.1%
483801 3
0.1%
483030 2
< 0.1%
483020 1
 
< 0.1%

WGS84위도
Real number (ℝ)

Distinct3263
Distinct (%)72.8%
Missing18
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean37.451734
Minimum36.949745
Maximum38.185052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:27.069059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.949745
5-th percentile37.001071
Q137.289673
median37.440048
Q337.655912
95-th percentile37.838711
Maximum38.185052
Range1.2353075
Interquartile range (IQR)0.36623885

Descriptive statistics

Standard deviation0.24200264
Coefficient of variation (CV)0.0064617205
Kurtosis-0.54663031
Mean37.451734
Median Absolute Deviation (MAD)0.17465661
Skewness0.067978927
Sum167933.58
Variance0.058565277
MonotonicityNot monotonic
2023-12-11T07:15:27.184928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6558930852 10
 
0.2%
37.7433468993 10
 
0.2%
37.6645540055 10
 
0.2%
37.226053054 10
 
0.2%
36.9938757295 10
 
0.2%
37.6547704839 8
 
0.2%
37.5052029115 8
 
0.2%
37.686255246 8
 
0.2%
37.4849374464 7
 
0.2%
37.3021150741 7
 
0.2%
Other values (3253) 4396
97.6%
(Missing) 18
 
0.4%
ValueCountFrequency (%)
36.9497447658 1
< 0.1%
36.9497570908 1
< 0.1%
36.959438936 1
< 0.1%
36.9596346739 1
< 0.1%
36.9598955481 1
< 0.1%
36.9600567713 1
< 0.1%
36.9602386469 1
< 0.1%
36.9605461615 1
< 0.1%
36.9605653293 2
< 0.1%
36.9608438021 1
< 0.1%
ValueCountFrequency (%)
38.1850522805 2
< 0.1%
38.1023391518 1
< 0.1%
38.0918688915 1
< 0.1%
38.0914319891 1
< 0.1%
38.0912615187 1
< 0.1%
38.0911603946 1
< 0.1%
38.091123459 1
< 0.1%
38.091030667 1
< 0.1%
38.091004052 1
< 0.1%
38.0907657107 2
< 0.1%

WGS84경도
Real number (ℝ)

Distinct3263
Distinct (%)72.8%
Missing18
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean126.98047
Minimum126.54671
Maximum127.66547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:27.323650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54671
5-th percentile126.73616
Q1126.80082
median126.98724
Q3127.11235
95-th percentile127.30332
Maximum127.66547
Range1.1187616
Interquartile range (IQR)0.3115208

Descriptive statistics

Standard deviation0.19750496
Coefficient of variation (CV)0.0015553963
Kurtosis0.26392855
Mean126.98047
Median Absolute Deviation (MAD)0.15583651
Skewness0.61256412
Sum569380.43
Variance0.039008208
MonotonicityNot monotonic
2023-12-11T07:15:27.458453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7719705633 10
 
0.2%
127.0517388601 10
 
0.2%
126.7545272288 10
 
0.2%
126.9724069865 10
 
0.2%
127.0861476422 10
 
0.2%
126.772627716 8
 
0.2%
126.7524263231 8
 
0.2%
126.7714243596 8
 
0.2%
126.7839257733 7
 
0.2%
126.8630004458 7
 
0.2%
Other values (3253) 4396
97.6%
(Missing) 18
 
0.4%
ValueCountFrequency (%)
126.5467066959 1
< 0.1%
126.5601292842 1
< 0.1%
126.5683296453 1
< 0.1%
126.5790721342 1
< 0.1%
126.5804001488 1
< 0.1%
126.5811985082 1
< 0.1%
126.5846380379 1
< 0.1%
126.588306384 1
< 0.1%
126.590342308 1
< 0.1%
126.5978810854 2
< 0.1%
ValueCountFrequency (%)
127.6654682513 1
< 0.1%
127.6552913078 1
< 0.1%
127.6427177944 2
< 0.1%
127.6400470864 1
< 0.1%
127.6399066986 1
< 0.1%
127.6387334068 2
< 0.1%
127.6371426827 1
< 0.1%
127.6360977485 1
< 0.1%
127.6359934342 2
< 0.1%
127.6357438112 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct268
Distinct (%)95.0%
Missing4220
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean197297.49
Minimum164770.32
Maximum256561.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:27.565601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164770.32
5-th percentile173997.89
Q1180609.83
median195083.65
Q3210073.56
95-th percentile225994.34
Maximum256561.93
Range91791.615
Interquartile range (IQR)29463.728

Descriptive statistics

Standard deviation18453.435
Coefficient of variation (CV)0.093531021
Kurtosis-0.0283201
Mean197297.49
Median Absolute Deviation (MAD)14684.149
Skewness0.61712846
Sum55637891
Variance3.4052928 × 108
MonotonicityNot monotonic
2023-12-11T07:15:27.671973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179867.687196662 5
 
0.1%
166886.209371857 2
 
< 0.1%
201156.499974843 2
 
< 0.1%
178228.226922666 2
 
< 0.1%
219138.424611781 2
 
< 0.1%
180682.178867611 2
 
< 0.1%
180098.4255 2
 
< 0.1%
181031.89173056 2
 
< 0.1%
216400.288550951 2
 
< 0.1%
179474.771771384 2
 
< 0.1%
Other values (258) 259
 
5.8%
(Missing) 4220
93.7%
ValueCountFrequency (%)
164770.315408568 1
< 0.1%
166536.392911011 1
< 0.1%
166569.527869733 1
< 0.1%
166714.986493674 1
< 0.1%
166825.062109962 1
< 0.1%
166886.209371857 2
< 0.1%
171561.306849404 1
< 0.1%
171562.668018895 1
< 0.1%
172242.410497312 1
< 0.1%
172272.440150826 1
< 0.1%
ValueCountFrequency (%)
256561.930348466 1
< 0.1%
256050.901109432 1
< 0.1%
248407.808398542 1
< 0.1%
247062.604055608 1
< 0.1%
243384.66771126 1
< 0.1%
242552.503226909 1
< 0.1%
242313.774086864 1
< 0.1%
240309.055043118 1
< 0.1%
238883.673069919 1
< 0.1%
238765.365685679 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct268
Distinct (%)95.0%
Missing4220
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean439073.75
Minimum386280.63
Maximum520240.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:27.779444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386280.63
5-th percentile395231.61
Q1419960.92
median442069.46
Q3461402.02
95-th percentile472746.93
Maximum520240.75
Range133960.12
Interquartile range (IQR)41441.102

Descriptive statistics

Standard deviation25604.973
Coefficient of variation (CV)0.058315882
Kurtosis-0.71084154
Mean439073.75
Median Absolute Deviation (MAD)20685.388
Skewness-0.12138495
Sum1.238188 × 108
Variance6.5561465 × 108
MonotonicityNot monotonic
2023-12-11T07:15:27.897561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461402.023019802 5
 
0.1%
460375.302752138 2
 
< 0.1%
422194.673397424 2
 
< 0.1%
445034.876497824 2
 
< 0.1%
420903.964757574 2
 
< 0.1%
442929.432148975 2
 
< 0.1%
442280.6825 2
 
< 0.1%
446914.626405054 2
 
< 0.1%
467703.684139824 2
 
< 0.1%
472223.512713276 2
 
< 0.1%
Other values (258) 259
 
5.8%
(Missing) 4220
93.7%
ValueCountFrequency (%)
386280.626909789 1
< 0.1%
387207.254654129 1
< 0.1%
387351.797581837 1
< 0.1%
387405.460736014 1
< 0.1%
387476.234305149 1
< 0.1%
388086.62729739 1
< 0.1%
388116.431680671 1
< 0.1%
388818.554939113 1
< 0.1%
389219.40137499 1
< 0.1%
389588.01431276 1
< 0.1%
ValueCountFrequency (%)
520240.750772234 1
< 0.1%
490272.410138854 1
< 0.1%
484508.886324415 1
< 0.1%
483964.281179073 1
< 0.1%
479703.91 1
< 0.1%
479653.985926663 1
< 0.1%
478714.419201551 1
< 0.1%
477054.438272858 1
< 0.1%
476940.485316124 1
< 0.1%
473626.420795394 1
< 0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
청소년게임제공업
4500 
<NA>
 
2

Length

Max length8
Median length8
Mean length7.998223
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 4500
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-11T07:15:28.017605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:28.104160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 4500
> 99.9%
na 2
 
< 0.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
유통관련업
4500 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9995558
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 4500
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-11T07:15:28.195012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:28.271824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 4500
> 99.9%
na 2
 
< 0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.7%
Missing4290
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean0.73113208
Minimum0
Maximum15
Zeros177
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:28.342066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.45
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1569622
Coefficient of variation (CV)2.9501676
Kurtosis14.952618
Mean0.73113208
Median Absolute Deviation (MAD)0
Skewness3.6849077
Sum155
Variance4.6524859
MonotonicityNot monotonic
2023-12-11T07:15:28.439830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 177
 
3.9%
1 9
 
0.2%
4 5
 
0.1%
2 4
 
0.1%
3 4
 
0.1%
10 3
 
0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
5 2
 
< 0.1%
8 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 4290
95.3%
ValueCountFrequency (%)
0 177
3.9%
1 9
 
0.2%
2 4
 
0.1%
3 4
 
0.1%
4 5
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
10 3
0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 5
0.1%
3 4
0.1%
2 4
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
<NA>
4465 
기타
 
27
주택가주변
 
4
유흥업소밀집지역
 
3
아파트지역
 
2

Length

Max length8
Median length4
Mean length3.992892
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4465
99.2%
기타 27
 
0.6%
주택가주변 4
 
0.1%
유흥업소밀집지역 3
 
0.1%
아파트지역 2
 
< 0.1%
학교정화(상대) 1
 
< 0.1%

Length

2023-12-11T07:15:28.581460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:28.668540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4465
99.2%
기타 27
 
0.6%
주택가주변 4
 
0.1%
유흥업소밀집지역 3
 
0.1%
아파트지역 2
 
< 0.1%
학교정화(상대 1
 
< 0.1%

제작취급품목내용
Text

MISSING 

Distinct162
Distinct (%)87.1%
Missing4316
Missing (%)95.9%
Memory size35.3 KiB
2023-12-11T07:15:28.880794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length55
Mean length21.376344
Min length2

Characters and Unicode

Total characters3976
Distinct characters318
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)81.2%

Sample

1st row10종
2nd row인형뽑기
3rd row리틀팡팡2, 애니멀카이져, 키마스터, 스마일스토리, 유니온, 럭셔리
4th rowMINI T
5th row마트 크레인
ValueCountFrequency (%)
토이즈팝 33
 
5.3%
1대 20
 
3.2%
스마일토이 15
 
2.4%
러브푸시 15
 
2.4%
코코짱 14
 
2.3%
1 13
 
2.1%
러브푸쉬 9
 
1.4%
곰탱이 9
 
1.4%
2대 9
 
1.4%
크레인 9
 
1.4%
Other values (309) 476
76.5%
2023-12-11T07:15:29.502547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
11.0%
, 309
 
7.8%
이 160
 
4.0%
스 145
 
3.6%
1 105
 
2.6%
토 101
 
2.5%
2 83
 
2.1%
( 82
 
2.1%
) 82
 
2.1%
대 81
 
2.0%
Other values (308) 2392
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2456
61.8%
Space Separator 436
 
11.0%
Other Punctuation 317
 
8.0%
Decimal Number 300
 
7.5%
Uppercase Letter 173
 
4.4%
Lowercase Letter 122
 
3.1%
Open Punctuation 82
 
2.1%
Close Punctuation 82
 
2.1%
Dash Punctuation 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 160
 
6.5%
스 145
 
5.9%
토 101
 
4.1%
대 81
 
3.3%
트 70
 
2.9%
인 63
 
2.6%
즈 61
 
2.5%
팝 57
 
2.3%
러 56
 
2.3%
크 56
 
2.3%
Other values (244) 1606
65.4%
Uppercase Letter
ValueCountFrequency (%)
P 25
14.5%
T 21
12.1%
O 18
 
10.4%
S 16
 
9.2%
D 8
 
4.6%
E 8
 
4.6%
A 8
 
4.6%
C 8
 
4.6%
I 7
 
4.0%
M 7
 
4.0%
Other values (14) 47
27.2%
Lowercase Letter
ValueCountFrequency (%)
i 15
12.3%
o 14
11.5%
u 11
9.0%
e 11
9.0%
p 9
 
7.4%
n 9
 
7.4%
h 9
 
7.4%
s 8
 
6.6%
k 6
 
4.9%
v 5
 
4.1%
Other values (10) 25
20.5%
Decimal Number
ValueCountFrequency (%)
1 105
35.0%
2 83
27.7%
4 23
 
7.7%
3 19
 
6.3%
0 17
 
5.7%
6 14
 
4.7%
5 12
 
4.0%
9 9
 
3.0%
8 9
 
3.0%
7 9
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 309
97.5%
. 5
 
1.6%
/ 1
 
0.3%
' 1
 
0.3%
: 1
 
0.3%
Space Separator
ValueCountFrequency (%)
436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2456
61.8%
Common 1225
30.8%
Latin 295
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 160
 
6.5%
스 145
 
5.9%
토 101
 
4.1%
대 81
 
3.3%
트 70
 
2.9%
인 63
 
2.6%
즈 61
 
2.5%
팝 57
 
2.3%
러 56
 
2.3%
크 56
 
2.3%
Other values (244) 1606
65.4%
Latin
ValueCountFrequency (%)
P 25
 
8.5%
T 21
 
7.1%
O 18
 
6.1%
S 16
 
5.4%
i 15
 
5.1%
o 14
 
4.7%
u 11
 
3.7%
e 11
 
3.7%
p 9
 
3.1%
n 9
 
3.1%
Other values (34) 146
49.5%
Common
ValueCountFrequency (%)
436
35.6%
, 309
25.2%
1 105
 
8.6%
2 83
 
6.8%
( 82
 
6.7%
) 82
 
6.7%
4 23
 
1.9%
3 19
 
1.6%
0 17
 
1.4%
6 14
 
1.1%
Other values (10) 55
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2456
61.8%
ASCII 1520
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
28.7%
, 309
20.3%
1 105
 
6.9%
2 83
 
5.5%
( 82
 
5.4%
) 82
 
5.4%
P 25
 
1.6%
4 23
 
1.5%
T 21
 
1.4%
3 19
 
1.2%
Other values (54) 335
22.0%
Hangul
ValueCountFrequency (%)
이 160
 
6.5%
스 145
 
5.9%
토 101
 
4.1%
대 81
 
3.3%
트 70
 
2.9%
인 63
 
2.6%
즈 61
 
2.5%
팝 57
 
2.3%
러 56
 
2.3%
크 56
 
2.3%
Other values (244) 1606
65.4%

시설면적(㎡)
Real number (ℝ)

SKEWED 

Distinct2797
Distinct (%)62.2%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean148.30081
Minimum0
Maximum42345
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:29.626475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.127
Q145.565
median99.75
Q3145.5
95-th percentile235.144
Maximum42345
Range42345
Interquartile range (IQR)99.935

Descriptive statistics

Standard deviation1024.7692
Coefficient of variation (CV)6.9100713
Kurtosis1122.8701
Mean148.30081
Median Absolute Deviation (MAD)50.24
Skewness31.303103
Sum666612.13
Variance1050151.8
MonotonicityNot monotonic
2023-12-11T07:15:29.739690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 73
 
1.6%
30.0 51
 
1.1%
40.0 35
 
0.8%
50.0 25
 
0.6%
66.0 23
 
0.5%
120.0 22
 
0.5%
99.0 20
 
0.4%
132.0 20
 
0.4%
60.0 20
 
0.4%
100.0 19
 
0.4%
Other values (2787) 4187
93.0%
ValueCountFrequency (%)
0.0 8
0.2%
5.0 4
0.1%
5.1 1
 
< 0.1%
5.46 1
 
< 0.1%
5.86 1
 
< 0.1%
6.0 1
 
< 0.1%
6.6 1
 
< 0.1%
7.0 1
 
< 0.1%
7.5 6
0.1%
8.28 1
 
< 0.1%
ValueCountFrequency (%)
42345.0 1
< 0.1%
38158.0 1
< 0.1%
17155.0 1
< 0.1%
15943.0 1
< 0.1%
15048.0 1
< 0.1%
14042.0 1
< 0.1%
13223.0 1
< 0.1%
13191.0 1
< 0.1%
12601.0 1
< 0.1%
3611.46 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.5%
Missing4281
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean0.68778281
Minimum0
Maximum12
Zeros168
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:29.838874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7287108
Coefficient of variation (CV)2.5134545
Kurtosis13.444741
Mean0.68778281
Median Absolute Deviation (MAD)0
Skewness3.4321636
Sum152
Variance2.988441
MonotonicityNot monotonic
2023-12-11T07:15:29.953269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 168
 
3.7%
1 25
 
0.6%
3 8
 
0.2%
2 5
 
0.1%
4 4
 
0.1%
5 3
 
0.1%
8 3
 
0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
12 1
 
< 0.1%
(Missing) 4281
95.1%
ValueCountFrequency (%)
0 168
3.7%
1 25
 
0.6%
2 5
 
0.1%
3 8
 
0.2%
4 4
 
0.1%
5 3
 
0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 3
 
0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
8 3
 
0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 3
 
0.1%
4 4
 
0.1%
3 8
 
0.2%
2 5
 
0.1%
1 25
 
0.6%
0 168
3.7%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.9%
Missing4296
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean0.19902913
Minimum0
Maximum5
Zeros180
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-11T07:15:30.051977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63568594
Coefficient of variation (CV)3.1939342
Kurtosis23.776821
Mean0.19902913
Median Absolute Deviation (MAD)0
Skewness4.4087902
Sum41
Variance0.40409661
MonotonicityNot monotonic
2023-12-11T07:15:30.155634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 180
 
4.0%
1 17
 
0.4%
2 6
 
0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 4296
95.4%
ValueCountFrequency (%)
0 180
4.0%
1 17
 
0.4%
2 6
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 6
 
0.1%
1 17
 
0.4%
0 180
4.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
<NA>
4308 
0
 
194

Length

Max length4
Median length4
Mean length3.8707241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4308
95.7%
0 194
 
4.3%

Length

2023-12-11T07:15:30.269852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:30.352333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4308
95.7%
0 194
 
4.3%

조명시설조도량
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
<NA>
4306 
0
 
193
250
 
1
1360
 
1
172
 
1

Length

Max length4
Median length4
Mean length3.8709462
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4306
95.6%
0 193
 
4.3%
250 1
 
< 0.1%
1360 1
 
< 0.1%
172 1
 
< 0.1%

Length

2023-12-11T07:15:30.440726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:30.529624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4306
95.6%
0 193
 
4.3%
250 1
 
< 0.1%
1360 1
 
< 0.1%
172 1
 
< 0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
<NA>
4308 
0
 
194

Length

Max length4
Median length4
Mean length3.8707241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4308
95.7%
0 194
 
4.3%

Length

2023-12-11T07:15:30.640688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:30.722641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4308
95.7%
0 194
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
<NA>
4308 
0
 
194

Length

Max length4
Median length4
Mean length3.8707241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4308
95.7%
0 194
 
4.3%

Length

2023-12-11T07:15:30.806006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:30.892209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4308
95.7%
0 194
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.3 KiB
전체이용가
4124 
<NA>
 
357
청소년이용불가
 
19
전체이용가 및 청소년이용불가
 
2

Length

Max length15
Median length5
Mean length4.9335851
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 4124
91.6%
<NA> 357
 
7.9%
청소년이용불가 19
 
0.4%
전체이용가 및 청소년이용불가 2
 
< 0.1%

Length

2023-12-11T07:15:30.977182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:31.068148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 4126
91.6%
na 357
 
7.9%
청소년이용불가 21
 
0.5%
및 2
 
< 0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4502
Missing (%)100.0%
Memory size39.7 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부제공게임물명공연장형태구분명품목명
0가평군Game Zone2023-07-28<NA>13영업중<NA>031-589-5691<NA>12458경기도 가평군 청평면 북한강로 2245 (주)대교마이다스호텔앤리조트경기도 가평군 청평면 삼회리 74-11245837.714236127.403752<NA>235503.186578468012.915731청소년게임제공업유통관련업0<NA>10종96.02000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
1가평군픽미업 인형뽑기2019-09-26<NA>13영업중<NA><NA><NA>12452경기도 가평군 청평면 청평중앙로 15경기도 가평군 청평면 청평리 451-11245237.736346127.41665<NA>236653.376477470516.848095청소년게임제공업유통관련업1<NA>인형뽑기50.0100000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
2가평군이찌방20170929<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 현창로38번길 4경기도 가평군 조종면 현리 409-11번지1243737.818434127.348762<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>111.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
3가평군뽑겟몬스터20170202<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 110경기도 가평군 가평읍 읍내리 474-18번지1241937.829554127.514091<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>32.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4가평군못된 강아지20161215<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 55-12경기도 가평군 가평읍 대곡리 166-1번지1242037.82493127.51501<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>59.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
5가평군겜박스20161229<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 현창로44번길 2-1경기도 가평군 조종면 현리 265-8번지1243737.818822127.348477<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>40.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
6가평군멀티게임장20170613<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 55-10경기도 가평군 가평읍 대곡리 168-5번지1242037.824921127.51517<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>57.66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
7가평군인형뽑기 노리터20170721<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 청평중앙로 15경기도 가평군 청평면 청평리 451-1번지1245237.736346127.41665<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
8가평군친구야놀자20171114<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 석봉로 207경기도 가평군 가평읍 읍내리 615-9번지1241437.83343127.509262<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
9가평군가평게임장20111028<NA><NA>폐업 등20120220<NA><NA><NA>경기도 가평군 가평읍 보납로34번길 2경기도 가평군 가평읍 읍내리 408-1번지1241937.830779127.514318<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>88.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적(㎡)지상층수지하층수통로너비조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부제공게임물명공연장형태구분명품목명
4492화성시뽀끼뽀끼20170427<NA><NA>폐업 등20180510<NA><NA><NA>경기도 화성시 마도면 마도공단로 202, 106호경기도 화성시 마도면 쌍송리 187-4번지1854137.187189126.790307<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>70.89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4493화성시로또게임랜드20170621<NA><NA>폐업 등20170816<NA><NA><NA>경기도 화성시 봉담읍 와우로15번길 59, 1층경기도 화성시 봉담읍 와우리 79-5번지1832137.21634126.975326<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>88.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4494화성시골든드래곤게임랜드20150728<NA><NA>폐업 등20150905<NA><NA><NA>경기도 화성시 향남읍 3.1만세로 1109-9, 2층경기도 화성시 향남읍 평리 90-7번지 외 1필지, 2층1859337.132714126.907926<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>113.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4495화성시화성게임장20170929<NA><NA>폐업 등20171228<NA><NA><NA>경기도 화성시 효행로 241, 214호 (기안동, 남수원씨티프라자)경기도 화성시 기안동 338-3번지1833737.226053126.972407<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>120.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4496화성시캔포인트20110704<NA><NA>폐업 등20110711<NA><NA><NA>경기도 화성시 효행로 1052경기도 화성시 병점동 844-1번지 씨네샤르망 A동 5층 일부호1840537.213932127.042481<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>124.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4497화성시씨케논2게임장20120619<NA><NA>폐업 등20120820<NA><NA><NA>경기도 화성시 향남읍 발안공단로5길 81경기도 화성시 향남읍 구문천리 154-4번지1862337.080809126.905641<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>162.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4498화성시남양 게임랜드20121002<NA><NA>폐업 등20130813<NA><NA><NA>경기도 화성시 남양성지로 147 (남양동)경기도 화성시 남양읍 남양리 1268번지1826137.209839126.819058<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>223.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4499화성시조암게임장20130314<NA><NA>폐업 등20130627<NA><NA><NA>경기도 화성시 우정읍 조암남로 38-5경기도 화성시 우정읍 조암리 271-9번지1856737.083717126.819547<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>160.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4500화성시스타게임장20110713<NA><NA>폐업 등<NA><NA><NA><NA>경기도 화성시 노작로 143, 302호 (반송동,유정프라자)경기도 화성시 반송동 106-5번지 유정프라자 302호1845537.20068127.073539<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>109.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>
4501화성시유일게임랜드20110715<NA><NA>폐업 등20140424<NA><NA><NA>경기도 화성시 남여울3길 6-27 (능동,1층)경기도 화성시 능동 1160-11번지 1층1842837.197675127.052912<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>111.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA>