Overview

Dataset statistics

Number of variables40
Number of observations274
Missing cells4026
Missing cells (%)36.7%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory91.6 KiB
Average record size in memory342.5 B

Variable types

Categorical7
Text7
DateTime3
Numeric11
Unsupported8
Boolean4

Dataset

Description일반 유원시설업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WQ2XYGVE84ET8385L7E41235495&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates
영업상태명 is highly imbalanced (52.5%)Imbalance
주변환경명 is highly imbalanced (58.6%)Imbalance
방송시설유무 is highly imbalanced (51.5%)Imbalance
안내소유무 is highly imbalanced (52.3%)Imbalance
인허가취소일자 has 272 (99.3%) missing valuesMissing
폐업일자 has 92 (33.6%) missing valuesMissing
소재지시설전화번호 has 123 (44.9%) missing valuesMissing
소재지면적정보 has 274 (100.0%) missing valuesMissing
도로명우편번호 has 59 (21.5%) missing valuesMissing
소재지도로명주소 has 24 (8.8%) missing valuesMissing
업태구분명정보 has 274 (100.0%) missing valuesMissing
X좌표값 has 18 (6.6%) missing valuesMissing
Y좌표값 has 18 (6.6%) missing valuesMissing
총층수 has 151 (55.1%) missing valuesMissing
지상층수 has 144 (52.6%) missing valuesMissing
지하층수 has 160 (58.4%) missing valuesMissing
영문상호주소 has 274 (100.0%) missing valuesMissing
선박제원내용 has 274 (100.0%) missing valuesMissing
기념품종류명 has 274 (100.0%) missing valuesMissing
시설면적(㎡) has 107 (39.1%) missing valuesMissing
놀이기구수내역 has 51 (18.6%) missing valuesMissing
놀이시설수 has 166 (60.6%) missing valuesMissing
방송시설유무 has 46 (16.8%) missing valuesMissing
발전시설유무 has 140 (51.1%) missing valuesMissing
의무실유무 has 103 (37.6%) missing valuesMissing
안내소유무 has 50 (18.2%) missing valuesMissing
기획여행보험시작일자 has 274 (100.0%) missing valuesMissing
기획여행보험종료일자 has 274 (100.0%) missing valuesMissing
부대시설내역 has 274 (100.0%) missing valuesMissing
시설규모(㎡) has 107 (39.1%) missing valuesMissing
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
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 69 (25.2%) zerosZeros
지상층수 has 74 (27.0%) zerosZeros
지하층수 has 80 (29.2%) zerosZeros
시설면적(㎡) has 53 (19.3%) zerosZeros
놀이시설수 has 80 (29.2%) zerosZeros
시설규모(㎡) has 53 (19.3%) zerosZeros

Reproduction

Analysis started2023-12-10 22:26:53.885115
Analysis finished2023-12-10 22:26:54.801725
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
고양시
73 
수원시
20 
부천시
16 
양평군
15 
파주시
14 
Other values (25)
136 

Length

Max length4
Median length3
Mean length3.0364964
Min length3

Unique

Unique4 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 73
26.6%
수원시 20
 
7.3%
부천시 16
 
5.8%
양평군 15
 
5.5%
파주시 14
 
5.1%
포천시 13
 
4.7%
양주시 11
 
4.0%
화성시 9
 
3.3%
이천시 9
 
3.3%
연천군 9
 
3.3%
Other values (20) 85
31.0%

Length

2023-12-11T07:26:54.878109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 73
26.6%
수원시 20
 
7.3%
부천시 16
 
5.8%
양평군 15
 
5.5%
파주시 14
 
5.1%
포천시 13
 
4.7%
양주시 11
 
4.0%
화성시 9
 
3.3%
이천시 9
 
3.3%
연천군 9
 
3.3%
Other values (20) 85
31.0%

사업장명
Text

Distinct230
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T07:26:55.093193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length9.379562
Min length2

Characters and Unicode

Total characters2570
Distinct characters327
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

Unique208 ?
Unique (%)75.9%

Sample

1st row가평레일파크
2nd row아이엠101펜션
3rd row꿈의동산
4th row별비치워터파크
5th row대성랜드
ValueCountFrequency (%)
키즈월드 12
 
2.7%
상상체험 10
 
2.2%
주식회사 8
 
1.8%
킨텍스 7
 
1.6%
mbc 7
 
1.6%
텔레몬스터 7
 
1.6%
대모험 7
 
1.6%
주)킨텍스 7
 
1.6%
청개구리 7
 
1.6%
물놀이장 7
 
1.6%
Other values (295) 372
82.5%
2023-12-11T07:26:55.693313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
6.9%
드 98
 
3.8%
이 75
 
2.9%
스 65
 
2.5%
( 59
 
2.3%
주 59
 
2.3%
) 59
 
2.3%
리 46
 
1.8%
팡 42
 
1.6%
랜 42
 
1.6%
Other values (317) 1848
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2108
82.0%
Space Separator 177
 
6.9%
Uppercase Letter 61
 
2.4%
Open Punctuation 59
 
2.3%
Close Punctuation 59
 
2.3%
Decimal Number 45
 
1.8%
Lowercase Letter 39
 
1.5%
Other Punctuation 21
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 98
 
4.6%
이 75
 
3.6%
스 65
 
3.1%
주 59
 
2.8%
리 46
 
2.2%
팡 42
 
2.0%
랜 42
 
2.0%
월 41
 
1.9%
즈 38
 
1.8%
코 38
 
1.8%
Other values (276) 1564
74.2%
Uppercase Letter
ValueCountFrequency (%)
M 11
18.0%
B 10
16.4%
C 9
14.8%
S 7
11.5%
L 6
9.8%
K 5
8.2%
I 3
 
4.9%
T 3
 
4.9%
O 2
 
3.3%
D 2
 
3.3%
Other values (3) 3
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
k 6
15.4%
a 5
12.8%
t 5
12.8%
e 5
12.8%
i 3
7.7%
s 3
7.7%
r 3
7.7%
z 2
 
5.1%
p 2
 
5.1%
w 2
 
5.1%
Other values (3) 3
7.7%
Decimal Number
ValueCountFrequency (%)
1 10
22.2%
2 9
20.0%
3 7
15.6%
0 6
13.3%
7 4
 
8.9%
6 3
 
6.7%
9 3
 
6.7%
4 2
 
4.4%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
' 12
57.1%
& 9
42.9%
Space Separator
ValueCountFrequency (%)
177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2108
82.0%
Common 362
 
14.1%
Latin 100
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 98
 
4.6%
이 75
 
3.6%
스 65
 
3.1%
주 59
 
2.8%
리 46
 
2.2%
팡 42
 
2.0%
랜 42
 
2.0%
월 41
 
1.9%
즈 38
 
1.8%
코 38
 
1.8%
Other values (276) 1564
74.2%
Latin
ValueCountFrequency (%)
M 11
 
11.0%
B 10
 
10.0%
C 9
 
9.0%
S 7
 
7.0%
k 6
 
6.0%
L 6
 
6.0%
K 5
 
5.0%
a 5
 
5.0%
t 5
 
5.0%
e 5
 
5.0%
Other values (16) 31
31.0%
Common
ValueCountFrequency (%)
177
48.9%
( 59
 
16.3%
) 59
 
16.3%
' 12
 
3.3%
1 10
 
2.8%
2 9
 
2.5%
& 9
 
2.5%
3 7
 
1.9%
0 6
 
1.7%
7 4
 
1.1%
Other values (5) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2108
82.0%
ASCII 462
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
38.3%
( 59
 
12.8%
) 59
 
12.8%
' 12
 
2.6%
M 11
 
2.4%
B 10
 
2.2%
1 10
 
2.2%
C 9
 
1.9%
2 9
 
1.9%
& 9
 
1.9%
Other values (31) 97
21.0%
Hangul
ValueCountFrequency (%)
드 98
 
4.6%
이 75
 
3.6%
스 65
 
3.1%
주 59
 
2.8%
리 46
 
2.2%
팡 42
 
2.0%
랜 42
 
2.0%
월 41
 
1.9%
즈 38
 
1.8%
코 38
 
1.8%
Other values (276) 1564
74.2%

인허가일자
Date

Distinct247
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1990-04-18 00:00:00
Maximum2023-11-28 00:00:00
2023-12-11T07:26:55.815143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:55.948554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing272
Missing (%)99.3%
Memory size2.3 KiB
Minimum2016-06-28 00:00:00
Maximum2023-02-27 00:00:00
2023-12-11T07:26:56.054463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:56.129668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

영업상태구분코드
Real number (ℝ)

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9635036
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:26:56.212920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q13
median3
Q313
95-th percentile13
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.6444193
Coefficient of variation (CV)0.94649381
Kurtosis6.8044354
Mean5.9635036
Median Absolute Deviation (MAD)0
Skewness2.2649608
Sum1634
Variance31.859469
MonotonicityNot monotonic
2023-12-11T07:26:56.302428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 187
68.2%
13 68
 
24.8%
2 14
 
5.1%
30 2
 
0.7%
35 2
 
0.7%
31 1
 
0.4%
ValueCountFrequency (%)
2 14
 
5.1%
3 187
68.2%
13 68
 
24.8%
30 2
 
0.7%
31 1
 
0.4%
35 2
 
0.7%
ValueCountFrequency (%)
35 2
 
0.7%
31 1
 
0.4%
30 2
 
0.7%
13 68
 
24.8%
3 187
68.2%
2 14
 
5.1%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
폐업
187 
영업중
68 
휴업
 
14
허가취소
 
2
직권말소
 
2

Length

Max length4
Median length2
Mean length2.2846715
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 187
68.2%
영업중 68
 
24.8%
휴업 14
 
5.1%
허가취소 2
 
0.7%
직권말소 2
 
0.7%
등록취소 1
 
0.4%

Length

2023-12-11T07:26:56.418429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:56.527391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 187
68.2%
영업중 68
 
24.8%
휴업 14
 
5.1%
허가취소 2
 
0.7%
직권말소 2
 
0.7%
등록취소 1
 
0.4%

폐업일자
Date

MISSING 

Distinct166
Distinct (%)91.2%
Missing92
Missing (%)33.6%
Memory size2.3 KiB
Minimum2003-10-31 00:00:00
Maximum2023-10-19 00:00:00
2023-12-11T07:26:56.638868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:56.762866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct119
Distinct (%)78.8%
Missing123
Missing (%)44.9%
Memory size2.3 KiB
2023-12-11T07:26:56.996315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.569536
Min length8

Characters and Unicode

Total characters1747
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)70.2%

Sample

1st row033-245-1010
2nd row584-2257
3rd row1661-6370
4th row031-904-9048
5th row070-4801-4184
ValueCountFrequency (%)
070-4801-4180 10
 
6.6%
070-4801-4184 6
 
4.0%
031-995-8179 5
 
3.3%
031-995-8177 4
 
2.6%
031)855-7788 3
 
2.0%
031-810-8173 3
 
2.0%
474-5555 2
 
1.3%
031-969-5519 2
 
1.3%
031-953-4448 2
 
1.3%
031-989-6733 2
 
1.3%
Other values (109) 112
74.2%
2023-12-11T07:26:57.375153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 297
17.0%
- 261
14.9%
1 222
12.7%
3 171
9.8%
8 138
7.9%
4 126
7.2%
5 117
 
6.7%
7 116
 
6.6%
9 110
 
6.3%
2 105
 
6.0%
Other values (3) 84
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1480
84.7%
Dash Punctuation 261
 
14.9%
Close Punctuation 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 297
20.1%
1 222
15.0%
3 171
11.6%
8 138
9.3%
4 126
8.5%
5 117
 
7.9%
7 116
 
7.8%
9 110
 
7.4%
2 105
 
7.1%
6 78
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1747
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 297
17.0%
- 261
14.9%
1 222
12.7%
3 171
9.8%
8 138
7.9%
4 126
7.2%
5 117
 
6.7%
7 116
 
6.6%
9 110
 
6.3%
2 105
 
6.0%
Other values (3) 84
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 297
17.0%
- 261
14.9%
1 222
12.7%
3 171
9.8%
8 138
7.9%
4 126
7.2%
5 117
 
6.7%
7 116
 
6.6%
9 110
 
6.3%
2 105
 
6.0%
Other values (3) 84
 
4.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

도로명우편번호
Text

MISSING 

Distinct123
Distinct (%)57.2%
Missing59
Missing (%)21.5%
Memory size2.3 KiB
2023-12-11T07:26:57.691697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1953488
Min length5

Characters and Unicode

Total characters1117
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

Unique92 ?
Unique (%)42.8%

Sample

1st row12419
2nd row12406
3rd row12449
4th row477-843
5th row12400
ValueCountFrequency (%)
10390 34
 
15.8%
411766 9
 
4.2%
10400 6
 
2.8%
11027 5
 
2.3%
14352 4
 
1.9%
16308 4
 
1.9%
18324 4
 
1.9%
10392 4
 
1.9%
12809 3
 
1.4%
410837 3
 
1.4%
Other values (113) 139
64.7%
2023-12-11T07:26:58.097959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 278
24.9%
0 194
17.4%
4 112
10.0%
3 102
 
9.1%
2 87
 
7.8%
9 74
 
6.6%
7 70
 
6.3%
8 69
 
6.2%
5 65
 
5.8%
6 61
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1112
99.6%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 278
25.0%
0 194
17.4%
4 112
10.1%
3 102
 
9.2%
2 87
 
7.8%
9 74
 
6.7%
7 70
 
6.3%
8 69
 
6.2%
5 65
 
5.8%
6 61
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 278
24.9%
0 194
17.4%
4 112
10.0%
3 102
 
9.1%
2 87
 
7.8%
9 74
 
6.6%
7 70
 
6.3%
8 69
 
6.2%
5 65
 
5.8%
6 61
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 278
24.9%
0 194
17.4%
4 112
10.0%
3 102
 
9.1%
2 87
 
7.8%
9 74
 
6.6%
7 70
 
6.3%
8 69
 
6.2%
5 65
 
5.8%
6 61
 
5.5%

소재지도로명주소
Text

MISSING 

Distinct208
Distinct (%)83.2%
Missing24
Missing (%)8.8%
Memory size2.3 KiB
2023-12-11T07:26:58.383316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39.5
Mean length31.152
Min length18

Characters and Unicode

Total characters7788
Distinct characters302
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

Unique181 ?
Unique (%)72.4%

Sample

1st row경기도 가평군 가평읍 장터길 14
2nd row경기도 가평군 북면 백둔로133번길 40
3rd row경기도 가평군 청평면 에덴벚꽃길 157-69
4th row경기도 가평군 북면 멱골로 334
5th row경기도 가평군 청평면 모꼬지로 76 (대성리)
ValueCountFrequency (%)
경기도 251
 
15.6%
고양시 71
 
4.4%
일산서구 56
 
3.5%
대화동 51
 
3.2%
킨텍스로 30
 
1.9%
한류월드로 26
 
1.6%
408 20
 
1.2%
수원시 17
 
1.1%
217-59 17
 
1.1%
킨텍스 16
 
1.0%
Other values (532) 1050
65.4%
2023-12-11T07:26:58.851391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1371
 
17.6%
도 272
 
3.5%
시 265
 
3.4%
경 264
 
3.4%
1 260
 
3.3%
기 260
 
3.3%
로 235
 
3.0%
동 205
 
2.6%
) 194
 
2.5%
( 194
 
2.5%
Other values (292) 4268
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4695
60.3%
Space Separator 1371
 
17.6%
Decimal Number 1091
 
14.0%
Close Punctuation 194
 
2.5%
Open Punctuation 194
 
2.5%
Other Punctuation 156
 
2.0%
Dash Punctuation 60
 
0.8%
Uppercase Letter 25
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 272
 
5.8%
시 265
 
5.6%
경 264
 
5.6%
기 260
 
5.5%
로 235
 
5.0%
동 205
 
4.4%
양 135
 
2.9%
구 123
 
2.6%
산 102
 
2.2%
고 92
 
2.0%
Other values (267) 2742
58.4%
Decimal Number
ValueCountFrequency (%)
1 260
23.8%
0 147
13.5%
2 130
11.9%
5 96
 
8.8%
8 88
 
8.1%
9 85
 
7.8%
7 82
 
7.5%
3 76
 
7.0%
4 75
 
6.9%
6 52
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 9
36.0%
A 7
28.0%
C 3
 
12.0%
S 2
 
8.0%
M 1
 
4.0%
N 1
 
4.0%
F 1
 
4.0%
G 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 155
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1371
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4695
60.3%
Common 3068
39.4%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 272
 
5.8%
시 265
 
5.6%
경 264
 
5.6%
기 260
 
5.5%
로 235
 
5.0%
동 205
 
4.4%
양 135
 
2.9%
구 123
 
2.6%
산 102
 
2.2%
고 92
 
2.0%
Other values (267) 2742
58.4%
Common
ValueCountFrequency (%)
1371
44.7%
1 260
 
8.5%
) 194
 
6.3%
( 194
 
6.3%
, 155
 
5.1%
0 147
 
4.8%
2 130
 
4.2%
5 96
 
3.1%
8 88
 
2.9%
9 85
 
2.8%
Other values (7) 348
 
11.3%
Latin
ValueCountFrequency (%)
B 9
36.0%
A 7
28.0%
C 3
 
12.0%
S 2
 
8.0%
M 1
 
4.0%
N 1
 
4.0%
F 1
 
4.0%
G 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4695
60.3%
ASCII 3093
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1371
44.3%
1 260
 
8.4%
) 194
 
6.3%
( 194
 
6.3%
, 155
 
5.0%
0 147
 
4.8%
2 130
 
4.2%
5 96
 
3.1%
8 88
 
2.8%
9 85
 
2.7%
Other values (15) 373
 
12.1%
Hangul
ValueCountFrequency (%)
도 272
 
5.8%
시 265
 
5.6%
경 264
 
5.6%
기 260
 
5.5%
로 235
 
5.0%
동 205
 
4.4%
양 135
 
2.9%
구 123
 
2.6%
산 102
 
2.2%
고 92
 
2.0%
Other values (267) 2742
58.4%

소재지지번주소
Text

Distinct213
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T07:26:59.095500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length25.036496
Min length11

Characters and Unicode

Total characters6860
Distinct characters259
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

Unique185 ?
Unique (%)67.5%

Sample

1st row경기도 가평군 가평읍 읍내리 395-1
2nd row경기도 가평군 북면 백둔리 88-1 모닝펜션
3rd row경기도 가평군 청평면 상천리 3
4th row경기도 가평군 북면 목동리 318-1
5th row경기도 가평군 청평면 대성리 576번지
ValueCountFrequency (%)
경기도 275
 
18.5%
고양시 73
 
4.9%
일산서구 58
 
3.9%
대화동 58
 
3.9%
2600번지 29
 
1.9%
수원시 20
 
1.3%
킨텍스 16
 
1.1%
부천시 16
 
1.1%
양평군 15
 
1.0%
파주시 14
 
0.9%
Other values (483) 915
61.5%
2023-12-11T07:26:59.513793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1360
 
19.8%
도 289
 
4.2%
기 281
 
4.1%
경 278
 
4.1%
시 270
 
3.9%
동 218
 
3.2%
1 202
 
2.9%
0 182
 
2.7%
2 176
 
2.6%
지 169
 
2.5%
Other values (249) 3435
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4181
60.9%
Space Separator 1360
 
19.8%
Decimal Number 1142
 
16.6%
Dash Punctuation 130
 
1.9%
Uppercase Letter 18
 
0.3%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Other Punctuation 8
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 289
 
6.9%
기 281
 
6.7%
경 278
 
6.6%
시 270
 
6.5%
동 218
 
5.2%
지 169
 
4.0%
번 148
 
3.5%
양 136
 
3.3%
구 126
 
3.0%
산 109
 
2.6%
Other values (222) 2157
51.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
22.2%
A 3
16.7%
M 2
11.1%
C 2
11.1%
F 1
 
5.6%
N 1
 
5.6%
V 1
 
5.6%
D 1
 
5.6%
G 1
 
5.6%
T 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 202
17.7%
0 182
15.9%
2 176
15.4%
6 107
9.4%
5 106
9.3%
7 88
7.7%
3 81
7.1%
8 73
 
6.4%
4 67
 
5.9%
9 60
 
5.3%
Space Separator
ValueCountFrequency (%)
1360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4181
60.9%
Common 2661
38.8%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 289
 
6.9%
기 281
 
6.7%
경 278
 
6.6%
시 270
 
6.5%
동 218
 
5.2%
지 169
 
4.0%
번 148
 
3.5%
양 136
 
3.3%
구 126
 
3.0%
산 109
 
2.6%
Other values (222) 2157
51.6%
Common
ValueCountFrequency (%)
1360
51.1%
1 202
 
7.6%
0 182
 
6.8%
2 176
 
6.6%
- 130
 
4.9%
6 107
 
4.0%
5 106
 
4.0%
7 88
 
3.3%
3 81
 
3.0%
8 73
 
2.7%
Other values (6) 156
 
5.9%
Latin
ValueCountFrequency (%)
B 4
22.2%
A 3
16.7%
M 2
11.1%
C 2
11.1%
F 1
 
5.6%
N 1
 
5.6%
V 1
 
5.6%
D 1
 
5.6%
G 1
 
5.6%
T 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4181
60.9%
ASCII 2679
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1360
50.8%
1 202
 
7.5%
0 182
 
6.8%
2 176
 
6.6%
- 130
 
4.9%
6 107
 
4.0%
5 106
 
4.0%
7 88
 
3.3%
3 81
 
3.0%
8 73
 
2.7%
Other values (17) 174
 
6.5%
Hangul
ValueCountFrequency (%)
도 289
 
6.9%
기 281
 
6.7%
경 278
 
6.6%
시 270
 
6.5%
동 218
 
5.2%
지 169
 
4.0%
번 148
 
3.5%
양 136
 
3.3%
구 126
 
3.0%
산 109
 
2.6%
Other values (222) 2157
51.6%

소재지우편번호
Text

Distinct172
Distinct (%)63.0%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
2023-12-11T07:26:59.847816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5531136
Min length5

Characters and Unicode

Total characters1516
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

Unique139 ?
Unique (%)50.9%

Sample

1st row12419
2nd row12406
3rd row12449
4th row477-843
5th row477812
ValueCountFrequency (%)
10390 33
 
12.1%
411766 14
 
5.1%
410837 5
 
1.8%
11027 5
 
1.8%
10400 5
 
1.8%
16308 4
 
1.5%
18324 4
 
1.5%
420860 4
 
1.5%
411410 4
 
1.5%
476831 3
 
1.1%
Other values (162) 192
70.3%
2023-12-11T07:27:00.301656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 320
21.1%
0 229
15.1%
4 219
14.4%
2 135
8.9%
8 134
8.8%
3 130
8.6%
7 100
 
6.6%
6 90
 
5.9%
9 83
 
5.5%
5 56
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1496
98.7%
Dash Punctuation 20
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 320
21.4%
0 229
15.3%
4 219
14.6%
2 135
9.0%
8 134
9.0%
3 130
8.7%
7 100
 
6.7%
6 90
 
6.0%
9 83
 
5.5%
5 56
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 320
21.1%
0 229
15.1%
4 219
14.4%
2 135
8.9%
8 134
8.8%
3 130
8.6%
7 100
 
6.6%
6 90
 
5.9%
9 83
 
5.5%
5 56
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 320
21.1%
0 229
15.1%
4 219
14.4%
2 135
8.9%
8 134
8.8%
3 130
8.6%
7 100
 
6.6%
6 90
 
5.9%
9 83
 
5.5%
5 56
 
3.7%

WGS84위도
Real number (ℝ)

Distinct184
Distinct (%)67.4%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean37.55682
Minimum36.98852
Maximum38.078557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:00.430819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.98852
5-th percentile37.198919
Q137.35028
median37.608902
Q337.668544
95-th percentile38.013026
Maximum38.078557
Range1.0900376
Interquartile range (IQR)0.31826373

Descriptive statistics

Standard deviation0.24306647
Coefficient of variation (CV)0.0064719662
Kurtosis-0.43282655
Mean37.55682
Median Absolute Deviation (MAD)0.16499297
Skewness0.0046056983
Sum10253.012
Variance0.059081308
MonotonicityNot monotonic
2023-12-11T07:27:00.569155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6685436 27
 
9.9%
37.6649345 7
 
2.6%
37.6577996 7
 
2.6%
37.6646740405 6
 
2.2%
37.5119498 6
 
2.2%
37.6645540055 5
 
1.8%
37.6649345727 4
 
1.5%
37.424077 4
 
1.5%
37.5667925 4
 
1.5%
37.2090423882 4
 
1.5%
Other values (174) 199
72.6%
ValueCountFrequency (%)
36.9885198249 1
0.4%
36.9919958 1
0.4%
36.9920854519 1
0.4%
36.9923870139 1
0.4%
37.0295173416 1
0.4%
37.030658541 1
0.4%
37.0981452395 1
0.4%
37.1058487387 1
0.4%
37.1374720666 1
0.4%
37.1460888 1
0.4%
ValueCountFrequency (%)
38.0785574467 1
0.4%
38.0688703068 1
0.4%
38.0687355935 1
0.4%
38.0667259 1
0.4%
38.0645002275 1
0.4%
38.0642572373 1
0.4%
38.0642571162 2
0.7%
38.0380248905 1
0.4%
38.018633821 1
0.4%
38.015648742 1
0.4%

WGS84경도
Real number (ℝ)

Distinct184
Distinct (%)67.4%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean126.97907
Minimum126.55221
Maximum127.66608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:00.709347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55221
5-th percentile126.7371
Q1126.74653
median126.94329
Q3127.11196
95-th percentile127.47237
Maximum127.66608
Range1.1138708
Interquartile range (IQR)0.3654304

Descriptive statistics

Standard deviation0.25866076
Coefficient of variation (CV)0.0020370346
Kurtosis-0.36394929
Mean126.97907
Median Absolute Deviation (MAD)0.19291078
Skewness0.79023466
Sum34665.287
Variance0.06690539
MonotonicityNot monotonic
2023-12-11T07:27:00.856361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7442442 27
 
9.9%
126.7418539 7
 
2.6%
126.7634563 7
 
2.6%
126.7422467741 6
 
2.2%
126.7465273 6
 
2.2%
126.7545272288 5
 
1.8%
126.7418539878 4
 
1.5%
126.8834009 4
 
1.5%
127.4569832 4
 
1.5%
126.9844037866 4
 
1.5%
Other values (174) 199
72.6%
ValueCountFrequency (%)
126.5522087631 1
0.4%
126.5556455 1
0.4%
126.5809997341 1
0.4%
126.6182099854 1
0.4%
126.6223412295 1
0.4%
126.6510722718 1
0.4%
126.6925239 1
0.4%
126.693716 1
0.4%
126.693779466 1
0.4%
126.6942604 1
0.4%
ValueCountFrequency (%)
127.6660796 1
0.4%
127.613724313 1
0.4%
127.6136549141 1
0.4%
127.5865474178 1
0.4%
127.5819634 1
0.4%
127.5804367 1
0.4%
127.5790832935 1
0.4%
127.5327269193 1
0.4%
127.5327269 1
0.4%
127.532614765 2
0.7%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)58.2%
Missing18
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean198615.12
Minimum161290.82
Maximum258995.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:01.004670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161290.82
5-th percentile177029.86
Q1177370.82
median195547.93
Q3210656.48
95-th percentile242668.72
Maximum258995.03
Range97704.213
Interquartile range (IQR)33285.658

Descriptive statistics

Standard deviation22952.983
Coefficient of variation (CV)0.11556513
Kurtosis-0.4123609
Mean198615.12
Median Absolute Deviation (MAD)17776.943
Skewness0.76641456
Sum50845471
Variance5.2683942 × 108
MonotonicityNot monotonic
2023-12-11T07:27:01.152100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177370.820174218 30
 
10.9%
177158.311187542 17
 
6.2%
179063.71074291 9
 
3.3%
200883.077128293 6
 
2.2%
203263.30229209 6
 
2.2%
177525.457142467 6
 
2.2%
240309.055043118 5
 
1.8%
205320.684903148 4
 
1.5%
178268.135568909 4
 
1.5%
189614.445275824 4
 
1.5%
Other values (139) 165
60.2%
(Missing) 18
 
6.6%
ValueCountFrequency (%)
161290.821 2
0.7%
166078.188516962 1
0.4%
166600.129951508 1
0.4%
168941.462418502 1
0.4%
172824.740074178 1
0.4%
172931.263281047 1
0.4%
172931.265518853 1
0.4%
173172.828879481 1
0.4%
173480.493512372 1
0.4%
173835.523422965 1
0.4%
ValueCountFrequency (%)
258995.033784931 1
 
0.4%
254263.945020146 2
0.7%
251773.181057619 1
 
0.4%
251365.698301112 1
 
0.4%
251229.825018466 1
 
0.4%
250832.554495231 1
 
0.4%
247062.604055608 4
1.5%
245333.979877939 1
 
0.4%
242698.666163636 1
 
0.4%
242658.738110842 1
 
0.4%

Y좌표값
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)58.2%
Missing18
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean451265.18
Minimum387446.92
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:01.315026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387446.92
5-th percentile410113.34
Q1428332.53
median460132.38
Q3463003.71
95-th percentile501301.06
Maximum560834.91
Range173387.99
Interquartile range (IQR)34671.184

Descriptive statistics

Standard deviation28006.456
Coefficient of variation (CV)0.06206208
Kurtosis0.2257611
Mean451265.18
Median Absolute Deviation (MAD)18116.901
Skewness0.16964016
Sum1.1552389 × 108
Variance7.8436155 × 108
MonotonicityNot monotonic
2023-12-11T07:27:01.481200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462947.515785368 30
 
10.9%
462546.660972252 17
 
6.2%
461749.680442956 9
 
3.3%
421767.29750738 6
 
2.2%
420600.574368075 6
 
2.2%
445566.116312854 6
 
2.2%
451717.810841809 5
 
1.8%
501301.057763832 4
 
1.5%
462480.734362689 4
 
1.5%
435789.263977272 4
 
1.5%
Other values (139) 165
60.2%
(Missing) 18
 
6.6%
ValueCountFrequency (%)
387446.917102432 1
0.4%
387788.017658236 1
0.4%
387830.462917531 1
0.4%
387863.705383338 1
0.4%
392070.728169319 1
0.4%
392120.834775286 1
0.4%
399599.029563384 1
0.4%
400551.29307512 1
0.4%
404282.30602 1
0.4%
404931.462029141 1
0.4%
ValueCountFrequency (%)
560834.907896845 1
 
0.4%
508553.304875848 1
 
0.4%
507417.513127373 1
 
0.4%
507375.801712143 1
 
0.4%
507161.313200826 1
 
0.4%
506949.283751477 1
 
0.4%
506881.690799368 3
1.1%
503902.19819567 1
 
0.4%
501752.027914604 1
 
0.4%
501301.057763832 4
1.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
허가유원시설업
274 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가유원시설업 274
100.0%

Length

2023-12-11T07:27:01.638388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:01.723565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 274
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)13.8%
Missing151
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean2.7154472
Minimum0
Maximum78
Zeros69
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:01.814657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile11.9
Maximum78
Range78
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation7.9481107
Coefficient of variation (CV)2.9269989
Kurtosis66.868936
Mean2.7154472
Median Absolute Deviation (MAD)0
Skewness7.3811858
Sum334
Variance63.172464
MonotonicityNot monotonic
2023-12-11T07:27:01.955554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 69
25.2%
1 16
 
5.8%
3 9
 
3.3%
2 7
 
2.6%
7 4
 
1.5%
4 3
 
1.1%
12 2
 
0.7%
8 2
 
0.7%
20 2
 
0.7%
5 2
 
0.7%
Other values (7) 7
 
2.6%
(Missing) 151
55.1%
ValueCountFrequency (%)
0 69
25.2%
1 16
 
5.8%
2 7
 
2.6%
3 9
 
3.3%
4 3
 
1.1%
5 2
 
0.7%
6 1
 
0.4%
7 4
 
1.5%
8 2
 
0.7%
9 1
 
0.4%
ValueCountFrequency (%)
78 1
 
0.4%
20 2
0.7%
19 1
 
0.4%
14 1
 
0.4%
12 2
0.7%
11 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
8 2
0.7%
7 4
1.5%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
199 
기타
64 
유흥업소밀집지역
 
7
주택가주변
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.6605839
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 199
72.6%
기타 64
 
23.4%
유흥업소밀집지역 7
 
2.6%
주택가주변 2
 
0.7%
아파트지역 1
 
0.4%
학교정화(상대) 1
 
0.4%

Length

2023-12-11T07:27:02.097179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:02.202309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
72.6%
기타 64
 
23.4%
유흥업소밀집지역 7
 
2.6%
주택가주변 2
 
0.7%
아파트지역 1
 
0.4%
학교정화(상대 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)8.5%
Missing144
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean1.5846154
Minimum0
Maximum13
Zeros74
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:02.304742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9591131
Coefficient of variation (CV)1.8674015
Kurtosis5.7836319
Mean1.5846154
Median Absolute Deviation (MAD)0
Skewness2.4851676
Sum206
Variance8.7563506
MonotonicityNot monotonic
2023-12-11T07:27:02.414797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 74
27.0%
1 19
 
6.9%
2 13
 
4.7%
3 7
 
2.6%
4 3
 
1.1%
9 3
 
1.1%
6 3
 
1.1%
12 3
 
1.1%
8 2
 
0.7%
13 2
 
0.7%
(Missing) 144
52.6%
ValueCountFrequency (%)
0 74
27.0%
1 19
 
6.9%
2 13
 
4.7%
3 7
 
2.6%
4 3
 
1.1%
5 1
 
0.4%
6 3
 
1.1%
8 2
 
0.7%
9 3
 
1.1%
12 3
 
1.1%
ValueCountFrequency (%)
13 2
 
0.7%
12 3
 
1.1%
9 3
 
1.1%
8 2
 
0.7%
6 3
 
1.1%
5 1
 
0.4%
4 3
 
1.1%
3 7
 
2.6%
2 13
4.7%
1 19
6.9%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)6.1%
Missing160
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean0.72807018
Minimum0
Maximum7
Zeros80
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:02.518069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5185291
Coefficient of variation (CV)2.0856906
Kurtosis7.4429502
Mean0.72807018
Median Absolute Deviation (MAD)0
Skewness2.6955251
Sum83
Variance2.3059308
MonotonicityNot monotonic
2023-12-11T07:27:02.617140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 80
29.2%
1 15
 
5.5%
2 8
 
2.9%
4 4
 
1.5%
3 3
 
1.1%
7 3
 
1.1%
6 1
 
0.4%
(Missing) 160
58.4%
ValueCountFrequency (%)
0 80
29.2%
1 15
 
5.5%
2 8
 
2.9%
3 3
 
1.1%
4 4
 
1.5%
6 1
 
0.4%
7 3
 
1.1%
ValueCountFrequency (%)
7 3
 
1.1%
6 1
 
0.4%
4 4
 
1.5%
3 3
 
1.1%
2 8
 
2.9%
1 15
 
5.5%
0 80
29.2%

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
186 
0
88 

Length

Max length4
Median length4
Mean length3.0364964
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
67.9%
0 88
32.1%

Length

2023-12-11T07:27:03.079937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:03.178887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
67.9%
0 88
32.1%

선박수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
186 
0
88 

Length

Max length4
Median length4
Mean length3.0364964
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
67.9%
0 88
32.1%

Length

2023-12-11T07:27:03.279083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:03.372306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
67.9%
0 88
32.1%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
186 
0
88 

Length

Max length4
Median length4
Mean length3.0364964
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
67.9%
0 88
32.1%

Length

2023-12-11T07:27:03.499954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:03.605338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
67.9%
0 88
32.1%

시설면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)60.5%
Missing107
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean3522.2236
Minimum0
Maximum102431
Zeros53
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:03.715889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median198
Q33882.995
95-th percentile13072
Maximum102431
Range102431
Interquartile range (IQR)3882.995

Descriptive statistics

Standard deviation9392.3545
Coefficient of variation (CV)2.666598
Kurtosis75.138385
Mean3522.2236
Median Absolute Deviation (MAD)198
Skewness7.5947955
Sum588211.34
Variance88216323
MonotonicityNot monotonic
2023-12-11T07:27:03.906966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
19.3%
13072.0 4
 
1.5%
10611.0 3
 
1.1%
124.37 2
 
0.7%
5016.0 2
 
0.7%
13000.0 2
 
0.7%
180.0 2
 
0.7%
3442.99 2
 
0.7%
10773.0 2
 
0.7%
79.52 2
 
0.7%
Other values (91) 93
33.9%
(Missing) 107
39.1%
ValueCountFrequency (%)
0.0 53
19.3%
21.0 1
 
0.4%
26.0 1
 
0.4%
28.27 1
 
0.4%
29.0 1
 
0.4%
38.65 1
 
0.4%
58.25 1
 
0.4%
60.0 1
 
0.4%
65.03 1
 
0.4%
66.0 1
 
0.4%
ValueCountFrequency (%)
102431.0 1
 
0.4%
36742.0 1
 
0.4%
23253.0 1
 
0.4%
22580.0 1
 
0.4%
20000.0 1
 
0.4%
18434.0 1
 
0.4%
13238.0 1
 
0.4%
13072.0 4
1.5%
13000.0 2
0.7%
10773.0 2
0.7%

놀이기구수내역
Text

MISSING 

Distinct203
Distinct (%)91.0%
Missing51
Missing (%)18.6%
Memory size2.3 KiB
2023-12-11T07:27:04.234128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length45
Mean length21.93722
Min length1

Characters and Unicode

Total characters4892
Distinct characters242
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

Unique193 ?
Unique (%)86.5%

Sample

1st row궤도자전거 4인용 30대, 2인용 20대
2nd row워터슬라이드 1개
3rd row22(11/11)
4th row8기(직선슬라이드 2, 회전형슬라이드 1, 튜브슬라이드 1,웨이브슬라이드1, 수중모험놀이 1, 파도풀, 유수풀)
5th row바디슬라이드(워터슬라이드) 1, 2호기
ValueCountFrequency (%)
1종 54
 
6.3%
1대 39
 
4.5%
대상 30
 
3.5%
1 29
 
3.4%
안전성검사 26
 
3.0%
안전성검사대상 22
 
2.6%
비대상 22
 
2.6%
유기기구 17
 
2.0%
안전검사 16
 
1.9%
2종 14
 
1.6%
Other values (346) 589
68.6%
2023-12-11T07:27:04.714270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
640
 
13.1%
대 275
 
5.6%
1 270
 
5.5%
, 211
 
4.3%
종 200
 
4.1%
사 149
 
3.0%
검 149
 
3.0%
상 144
 
2.9%
전 137
 
2.8%
안 117
 
2.4%
Other values (232) 2600
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3123
63.8%
Space Separator 640
 
13.1%
Decimal Number 592
 
12.1%
Other Punctuation 292
 
6.0%
Open Punctuation 115
 
2.4%
Close Punctuation 114
 
2.3%
Lowercase Letter 6
 
0.1%
Dash Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 275
 
8.8%
종 200
 
6.4%
사 149
 
4.8%
검 149
 
4.8%
상 144
 
4.6%
전 137
 
4.4%
안 117
 
3.7%
이 114
 
3.7%
기 103
 
3.3%
성 92
 
2.9%
Other values (204) 1643
52.6%
Decimal Number
ValueCountFrequency (%)
1 270
45.6%
2 95
 
16.0%
3 52
 
8.8%
4 37
 
6.2%
0 32
 
5.4%
5 31
 
5.2%
6 25
 
4.2%
8 19
 
3.2%
7 17
 
2.9%
9 14
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 211
72.3%
: 32
 
11.0%
* 20
 
6.8%
. 18
 
6.2%
/ 9
 
3.1%
& 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
L 1
25.0%
D 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 112
97.4%
[ 3
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 111
97.4%
] 3
 
2.6%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
640
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3123
63.8%
Common 1759
36.0%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 275
 
8.8%
종 200
 
6.4%
사 149
 
4.8%
검 149
 
4.8%
상 144
 
4.6%
전 137
 
4.4%
안 117
 
3.7%
이 114
 
3.7%
기 103
 
3.3%
성 92
 
2.9%
Other values (204) 1643
52.6%
Common
ValueCountFrequency (%)
640
36.4%
1 270
15.3%
, 211
 
12.0%
( 112
 
6.4%
) 111
 
6.3%
2 95
 
5.4%
3 52
 
3.0%
4 37
 
2.1%
0 32
 
1.8%
: 32
 
1.8%
Other values (14) 167
 
9.5%
Latin
ValueCountFrequency (%)
m 6
60.0%
G 2
 
20.0%
L 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3123
63.8%
ASCII 1769
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
640
36.2%
1 270
15.3%
, 211
 
11.9%
( 112
 
6.3%
) 111
 
6.3%
2 95
 
5.4%
3 52
 
2.9%
4 37
 
2.1%
0 32
 
1.8%
: 32
 
1.8%
Other values (18) 177
 
10.0%
Hangul
ValueCountFrequency (%)
대 275
 
8.8%
종 200
 
6.4%
사 149
 
4.8%
검 149
 
4.8%
상 144
 
4.6%
전 137
 
4.4%
안 117
 
3.7%
이 114
 
3.7%
기 103
 
3.3%
성 92
 
2.9%
Other values (204) 1643
52.6%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)8.3%
Missing166
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean0.61111111
Minimum0
Maximum9
Zeros80
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:04.858324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4840796
Coefficient of variation (CV)2.4284939
Kurtosis13.51441
Mean0.61111111
Median Absolute Deviation (MAD)0
Skewness3.4587698
Sum66
Variance2.2024922
MonotonicityNot monotonic
2023-12-11T07:27:04.956277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 80
29.2%
1 16
 
5.8%
3 5
 
1.8%
2 2
 
0.7%
9 1
 
0.4%
6 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
7 1
 
0.4%
(Missing) 166
60.6%
ValueCountFrequency (%)
0 80
29.2%
1 16
 
5.8%
2 2
 
0.7%
3 5
 
1.8%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
9 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
4 1
 
0.4%
3 5
 
1.8%
2 2
 
0.7%
1 16
 
5.8%
0 80
29.2%

방송시설유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.9%
Missing46
Missing (%)16.8%
Memory size680.0 B
True
204 
False
24 
(Missing)
46 
ValueCountFrequency (%)
True 204
74.5%
False 24
 
8.8%
(Missing) 46
 
16.8%
2023-12-11T07:27:05.042567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)1.5%
Missing140
Missing (%)51.1%
Memory size680.0 B
True
102 
False
32 
(Missing)
140 
ValueCountFrequency (%)
True 102
37.2%
False 32
 
11.7%
(Missing) 140
51.1%
2023-12-11T07:27:05.120259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)1.2%
Missing103
Missing (%)37.6%
Memory size680.0 B
True
142 
False
29 
(Missing)
103 
ValueCountFrequency (%)
True 142
51.8%
False 29
 
10.6%
(Missing) 103
37.6%
2023-12-11T07:27:05.209492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.9%
Missing50
Missing (%)18.2%
Memory size680.0 B
True
201 
False
23 
(Missing)
50 
ValueCountFrequency (%)
True 201
73.4%
False 23
 
8.4%
(Missing) 50
 
18.2%
2023-12-11T07:27:05.314674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing274
Missing (%)100.0%
Memory size2.5 KiB

시설규모(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)58.1%
Missing107
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean3522.2395
Minimum0
Maximum102431
Zeros53
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:27:05.464211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median198
Q33883
95-th percentile13072
Maximum102431
Range102431
Interquartile range (IQR)3883

Descriptive statistics

Standard deviation9392.3543
Coefficient of variation (CV)2.6665859
Kurtosis75.138341
Mean3522.2395
Median Absolute Deviation (MAD)198
Skewness7.5947913
Sum588214
Variance88216319
MonotonicityNot monotonic
2023-12-11T07:27:05.752328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
19.3%
13072 4
 
1.5%
80 3
 
1.1%
10611 3
 
1.1%
221 3
 
1.1%
10773 2
 
0.7%
3443 2
 
0.7%
13000 2
 
0.7%
180 2
 
0.7%
5016 2
 
0.7%
Other values (87) 91
33.2%
(Missing) 107
39.1%
ValueCountFrequency (%)
0 53
19.3%
21 1
 
0.4%
26 1
 
0.4%
28 1
 
0.4%
29 1
 
0.4%
39 1
 
0.4%
58 1
 
0.4%
60 1
 
0.4%
65 1
 
0.4%
66 1
 
0.4%
ValueCountFrequency (%)
102431 1
 
0.4%
36742 1
 
0.4%
23253 1
 
0.4%
22580 1
 
0.4%
20000 1
 
0.4%
18434 1
 
0.4%
13238 1
 
0.4%
13072 4
1.5%
13000 2
0.7%
10773 2
0.7%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수영문상호주소선박총톤수선박수선박제원내용기념품종류명회의실동시수용인원수시설면적(㎡)놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자부대시설내역시설규모(㎡)
0가평군가평레일파크2015-09-25<NA>13영업중<NA>033-245-1010<NA>12419경기도 가평군 가평읍 장터길 14경기도 가평군 가평읍 읍내리 395-11241937.828968127.515852<NA>245333.979878480821.639904허가유원시설업0<NA>00<NA>00<NA><NA>00.0궤도자전거 4인용 30대, 2인용 20대0Y<NA><NA>Y<NA><NA><NA>0
1가평군아이엠101펜션2023-05-26<NA>13영업중<NA><NA><NA>12406경기도 가평군 북면 백둔로133번길 40경기도 가평군 북면 백둔리 88-1 모닝펜션1240637.896386127.486204<NA>242698.666164488301.397669허가유원시설업0<NA>00<NA>00<NA><NA>00.0워터슬라이드 1개0YYYY<NA><NA><NA>0
2가평군꿈의동산2003-09-05<NA>13영업중<NA><NA><NA>12449경기도 가평군 청평면 에덴벚꽃길 157-69경기도 가평군 청평면 상천리 31244937.78465127.484214<NA>242658.738111475614.484005허가유원시설업0<NA>00<NA>00<NA><NA>00.022(11/11)0YYNY<NA><NA><NA>0
3가평군별비치워터파크2014-07-18<NA>13영업중<NA><NA><NA>477-843경기도 가평군 북면 멱골로 334경기도 가평군 북면 목동리 318-1477-84337.918253127.579083<NA>250832.554495490733.516721허가유원시설업2기타20<NA>00<NA><NA>0213.28기(직선슬라이드 2, 회전형슬라이드 1, 튜브슬라이드 1,웨이브슬라이드1, 수중모험놀이 1, 파도풀, 유수풀)0Y<NA>YY<NA><NA><NA>213
4가평군대성랜드20030203<NA>3폐업20090702584-2257<NA><NA>경기도 가평군 청평면 모꼬지로 76 (대성리)경기도 가평군 청평면 대성리 576번지47781237.684584127.372063<NA>232754.278394464759.985346허가유원시설업<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA>3418.0<NA><NA>YNNY<NA><NA><NA>3418
5가평군잠깨고키즈풀빌라2023-05-24<NA>2휴업<NA><NA><NA>12400경기도 가평군 북면 논남기길 14-1경기도 가평군 북면 적목리 1831240037.969195127.45709<NA>240104.337886496373.109206허가유원시설업0<NA>00<NA>00<NA><NA>00.0바디슬라이드(워터슬라이드) 1, 2호기0YYYY<NA><NA><NA>0
6가평군꿈의동산22003-08-28<NA>2휴업<NA><NA><NA>477-814경기도 가평군 청평면 경춘로 1436경기도 가평군 청평면 상천리 277477-81437.7773127.464468<NA>240824.221656475077.586596허가유원시설업0<NA>00<NA>00<NA><NA>00.010YYNY<NA><NA><NA>0
7고양시라페팡팡201405162016062831등록취소<NA><NA><NA>10401경기도 고양시 일산동구 무궁화로 20-11, 302호 (장항동, 라페스타 F동)경기도 고양시 일산동구 장항동 761-1번지 라페스타 F동 302호41083737.661817126.767546<NA>179418.01462191.855허가유원시설업<NA><NA>41<NA><NA><NA><NA><NA><NA>115.071(타가다디스코)<NA>Y<NA>YY<NA><NA><NA>115
8고양시라포르2014-07-02<NA>13영업중<NA><NA><NA>411-410경기도 고양시 일산서구 한류월드로 300 (대화동)경기도 고양시 일산서구 대화동 300411-41037.664554126.754527<NA><NA><NA>허가유원시설업0<NA>00<NA>00<NA><NA>021.0안전성 검사대상 1종(정기검사: 2018. 12. 28.)-원마운트 미니기차0Y<NA><NA>Y<NA><NA><NA>21
9고양시Let's7 디스코팡팡2023-08-17<NA>13영업중<NA><NA><NA>10403경기도 고양시 일산동구 정발산로 24, 웨스턴돔2 B동 149,150,151호 (장항동)경기도 고양시 일산동구 장항동 868 웨스턴돔21040337.65477126.772628<NA>179867.687197461402.02302허가유원시설업0기타00<NA>00<NA><NA>00.011Y<NA><NA>Y<NA><NA><NA>0
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수영문상호주소선박총톤수선박수선박제원내용기념품종류명회의실동시수용인원수시설면적(㎡)놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자부대시설내역시설규모(㎡)
264포천시호수랜드2000-10-29<NA>2휴업<NA><NA><NA>11103경기도 포천시 영북면 산정호수로411번길 83-64경기도 포천시 영북면 산정리 189487-89638.06887127.323839<NA>228349.853224507375.801712허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미니아스트로, 미니바이킹, 미니스윙거<NA><NA><NA><NA><NA><NA><NA><NA><NA>
265화성시호텔푸르미르 물놀이장20220712<NA>13영업중<NA><NA><NA>18324경기도 화성시 효행로 480 (안녕동)경기도 화성시 안녕동 188-21832437.209042126.984404<NA>198602.911323411881.067756허가유원시설업0<NA>00<NA>00<NA><NA>03096.0안전검사대상유기기구: 1대, 안전검사 대상이 아닌 유기기구:11대0Y<NA><NA>Y<NA><NA><NA>3096
266화성시호텔푸르미르 물놀이장2023-07-03<NA>13영업중<NA><NA><NA>18324경기도 화성시 효행로 480 (안녕동)경기도 화성시 안녕동 188-21832437.209042126.984404<NA>198602.911404411881.067755허가유원시설업0<NA>00<NA>00<NA><NA>03096.0안전검사 대상 유기기설 또는 유기기구 : 2종, 안전검사 대상이 아닌 유기시설 또는 유기기구 : 6종, 총 12대0YYYY<NA><NA><NA>3096
267화성시제부비치랜드2002-12-02<NA>13영업중<NA>031-357-5658<NA>18553경기도 화성시 서신면 해안길 260-2, 외 1필지(해안길 262)경기도 화성시 서신면 제부리 190-131 외 1필지(제부리 190-125)1855337.16422126.61821<NA>166078.188517407051.651065허가유원시설업0<NA>00<NA>00<NA><NA>00.0현장관리책임자: 박원주 ********************, 제부랜드는 관광진흥과 소관아님(4륜)0NNNN<NA><NA><NA>0
268화성시호텔푸르미르 물놀이장20200717<NA>13영업중<NA>031-223-9479<NA>18324경기도 화성시 효행로 480 (안녕동)경기도 화성시 안녕동 188-2 188-3, 188-721832437.209042126.984404<NA>198602.911323411881.067756허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상: 1종 2대, 비대상: 2종 11대<NA><NA><NA><NA><NA><NA><NA><NA><NA>
269화성시호텔푸르미르 물놀이장20210802<NA>13영업중<NA><NA><NA>18324경기도 화성시 효행로 480 (안녕동)경기도 화성시 안녕동 188-21832437.209042126.984404<NA>198602.911323411881.067756허가유원시설업0<NA>00<NA>00<NA><NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA>0
270화성시(주)아이캔컴퍼니20180525<NA>3폐업20180604031-225-0139<NA>18554경기도 화성시 서신면 전곡항로 5경기도 화성시 서신면 전곡리 10761855437.185615126.651072<NA>168941.462419409396.128585허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
271화성시(주)클린화성20150703<NA>3폐업2015090103180595266<NA>18588경기도 화성시 향남읍 향남로 470경기도 화성시 향남읍 도이리 산 31-644592937.137472126.924012<NA>193278.324442404282.30602허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상 1종 및 안전성검사 비대상 4종<NA>YYYY<NA><NA><NA><NA>
272화성시화성디스코팡팡2022-08-16<NA>3폐업2023-05-29<NA><NA>18455경기도 화성시 메타폴리스로 44, 거성프라자 104호 (반송동)경기도 화성시 반송동 103-5 거성프라자1845537.201712127.072271<NA>206341.365299411095.711246허가유원시설업0<NA>00<NA>00<NA><NA>070.0타가다디스코 1종 1대0Y<NA>YY<NA><NA><NA>70
273화성시하피랜드20090422<NA>2휴업<NA>1577-5752<NA>18529경기도 화성시 팔탄면 시청로 888경기도 화성시 팔탄면 율암리 483-2644591337.168573126.88852<NA>190068.210203407388.509143허가유원시설업4<NA>22<NA>00<NA><NA>02870.78안전성검사대상 3종(바디슬라이드,유수풀,아쿠아플레이) / 차기안전성검사(~2021.02.13.)0YYYY<NA><NA><NA>2871

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수선박총톤수선박수회의실동시수용인원수시설면적(㎡)놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무시설규모(㎡)# duplicates
0양주시(주)두리훼미리랜드19901229<NA>3폐업20060329031)855-7788<NA>경기도 양주시 장흥면 권율로 120경기도 양주시 장흥면 일영리 44-18번지48281237.724486126.95041195565.233263469125.128529허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNN<NA>2