Overview

Dataset statistics

Number of variables48
Number of observations84
Missing cells2129
Missing cells (%)52.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.3 KiB
Average record size in memory417.6 B

Variable types

Categorical14
Text10
DateTime2
Unsupported15
Numeric7

Alerts

문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
보험기관명 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 has 84 (100.0%) missing valuesMissing
폐업일자 has 70 (83.3%) missing valuesMissing
소재지시설전화번호 has 80 (95.2%) missing valuesMissing
소재지면적정보 has 84 (100.0%) missing valuesMissing
도로명우편번호 has 62 (73.8%) missing valuesMissing
업태구분명정보 has 84 (100.0%) missing valuesMissing
X좌표값 has 61 (72.6%) missing valuesMissing
Y좌표값 has 61 (72.6%) missing valuesMissing
지역구분명 has 81 (96.4%) missing valuesMissing
주변환경명 has 83 (98.8%) missing valuesMissing
제작취급품목내용 has 84 (100.0%) missing valuesMissing
보험기관명 has 83 (98.8%) missing valuesMissing
영문상호명 has 83 (98.8%) missing valuesMissing
영문상호주소 has 83 (98.8%) missing valuesMissing
선박제원내용 has 84 (100.0%) missing valuesMissing
기념품종류명 has 84 (100.0%) missing valuesMissing
시설면적 has 61 (72.6%) missing valuesMissing
놀이기구수내역 has 84 (100.0%) missing valuesMissing
발전시설유무 has 84 (100.0%) missing valuesMissing
의무실유무 has 84 (100.0%) missing valuesMissing
안내소유무 has 84 (100.0%) missing valuesMissing
기획여행보험시작일자 has 84 (100.0%) missing valuesMissing
기획여행보험종료일자 has 84 (100.0%) missing valuesMissing
보험시작일자 has 84 (100.0%) missing valuesMissing
보험종료일자 has 84 (100.0%) missing valuesMissing
부대시설내역 has 84 (100.0%) missing valuesMissing
시설규모 has 61 (72.6%) missing valuesMissing
소재지지번주소 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
제작취급품목내용 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
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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
시설면적 has 8 (9.5%) zerosZeros
시설규모 has 8 (9.5%) zerosZeros

Reproduction

Analysis started2023-12-10 22:51:08.234757
Analysis finished2023-12-10 22:51:08.916227
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct13
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
가평군
30 
화성시
17 
양평군
12 
포천시
6 
여주시
4 
Other values (8)
15 

Length

Max length4
Median length3
Mean length3.0357143
Min length3

Unique

Unique4 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 30
35.7%
화성시 17
20.2%
양평군 12
 
14.3%
포천시 6
 
7.1%
여주시 4
 
4.8%
남양주시 3
 
3.6%
양주시 3
 
3.6%
용인시 3
 
3.6%
파주시 2
 
2.4%
광주시 1
 
1.2%
Other values (3) 3
 
3.6%

Length

2023-12-11T07:51:08.971453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 30
35.7%
화성시 17
20.2%
양평군 12
 
14.3%
포천시 6
 
7.1%
여주시 4
 
4.8%
남양주시 3
 
3.6%
양주시 3
 
3.6%
용인시 3
 
3.6%
파주시 2
 
2.4%
광주시 1
 
1.2%
Other values (3) 3
 
3.6%

사업장명
Text

Distinct82
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T07:51:09.182008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.8690476
Min length2

Characters and Unicode

Total characters493
Distinct characters202
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)95.2%

Sample

1st row벨르앙쥬펜션
2nd row휴우일
3rd row보쏭
4th row가둘기정원 꽃넘이
5th row두메산골
ValueCountFrequency (%)
펜션 4
 
3.8%
하늘짚펜션 2
 
1.9%
예터 2
 
1.9%
관광펜션 2
 
1.9%
양평밸리 1
 
1.0%
초호쉼터 1
 
1.0%
십일월오일 1
 
1.0%
에버오렌지펜션 1
 
1.0%
동구박펜션 1
 
1.0%
캐리비안펜션 1
 
1.0%
Other values (89) 89
84.8%
2023-12-11T07:51:09.601286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
펜 43
 
8.7%
션 43
 
8.7%
21
 
4.3%
리 12
 
2.4%
가 9
 
1.8%
이 9
 
1.8%
스 7
 
1.4%
관 7
 
1.4%
아 7
 
1.4%
광 7
 
1.4%
Other values (192) 328
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
91.9%
Space Separator 21
 
4.3%
Lowercase Letter 7
 
1.4%
Decimal Number 5
 
1.0%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펜 43
 
9.5%
션 43
 
9.5%
리 12
 
2.6%
가 9
 
2.0%
이 9
 
2.0%
스 7
 
1.5%
관 7
 
1.5%
아 7
 
1.5%
광 7
 
1.5%
기 6
 
1.3%
Other values (177) 303
66.9%
Lowercase Letter
ValueCountFrequency (%)
t 2
28.6%
o 2
28.6%
i 1
14.3%
w 1
14.3%
l 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
0 1
20.0%
4 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
91.9%
Common 31
 
6.3%
Latin 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펜 43
 
9.5%
션 43
 
9.5%
리 12
 
2.6%
가 9
 
2.0%
이 9
 
2.0%
스 7
 
1.5%
관 7
 
1.5%
아 7
 
1.5%
광 7
 
1.5%
기 6
 
1.3%
Other values (177) 303
66.9%
Common
ValueCountFrequency (%)
21
67.7%
) 2
 
6.5%
( 2
 
6.5%
1 2
 
6.5%
2 1
 
3.2%
& 1
 
3.2%
0 1
 
3.2%
4 1
 
3.2%
Latin
ValueCountFrequency (%)
t 2
22.2%
o 2
22.2%
i 1
11.1%
w 1
11.1%
l 1
11.1%
A 1
11.1%
K 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
91.9%
ASCII 40
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
펜 43
 
9.5%
션 43
 
9.5%
리 12
 
2.6%
가 9
 
2.0%
이 9
 
2.0%
스 7
 
1.5%
관 7
 
1.5%
아 7
 
1.5%
광 7
 
1.5%
기 6
 
1.3%
Other values (177) 303
66.9%
ASCII
ValueCountFrequency (%)
21
52.5%
) 2
 
5.0%
( 2
 
5.0%
t 2
 
5.0%
1 2
 
5.0%
o 2
 
5.0%
i 1
 
2.5%
w 1
 
2.5%
l 1
 
2.5%
2 1
 
2.5%
Other values (5) 5
 
12.5%

인허가일자
Date

Distinct76
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2004-10-29 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:51:09.777959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:09.909223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
61 
13
22 
3
 
1

Length

Max length4
Median length4
Mean length3.4404762
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
<NA> 61
72.6%
13 22
 
26.2%
3 1
 
1.2%

Length

2023-12-11T07:51:10.042844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:10.154347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
72.6%
13 22
 
26.2%
3 1
 
1.2%

영업상태명
Categorical

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
운영중
46 
영업중
22 
폐업 등
14 
휴업 등
 
1
폐업
 
1

Length

Max length4
Median length3
Mean length3.1666667
Min length2

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 46
54.8%
영업중 22
26.2%
폐업 등 14
 
16.7%
휴업 등 1
 
1.2%
폐업 1
 
1.2%

Length

2023-12-11T07:51:10.294552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:10.404569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 46
46.5%
영업중 22
22.2%
폐업 15
 
15.2%
등 15
 
15.2%
휴업 1
 
1.0%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)92.9%
Missing70
Missing (%)83.3%
Memory size804.0 B
Minimum2015-07-15 00:00:00
Maximum2023-08-28 00:00:00
2023-12-11T07:51:10.497066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:10.597107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

소재지시설전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing80
Missing (%)95.2%
Memory size804.0 B
2023-12-11T07:51:10.717770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters48
Distinct characters10
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

Unique4 ?
Unique (%)100.0%

Sample

1st row031-585-7027
2nd row031-774-4264
3rd row031-534-7474
4th row031-355-0271
ValueCountFrequency (%)
031-585-7027 1
25.0%
031-774-4264 1
25.0%
031-534-7474 1
25.0%
031-355-0271 1
25.0%
2023-12-11T07:51:10.975810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8
16.7%
7 7
14.6%
0 6
12.5%
3 6
12.5%
4 6
12.5%
1 5
10.4%
5 5
10.4%
2 3
 
6.2%
8 1
 
2.1%
6 1
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
83.3%
Dash Punctuation 8
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 7
17.5%
0 6
15.0%
3 6
15.0%
4 6
15.0%
1 5
12.5%
5 5
12.5%
2 3
7.5%
8 1
 
2.5%
6 1
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8
16.7%
7 7
14.6%
0 6
12.5%
3 6
12.5%
4 6
12.5%
1 5
10.4%
5 5
10.4%
2 3
 
6.2%
8 1
 
2.1%
6 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8
16.7%
7 7
14.6%
0 6
12.5%
3 6
12.5%
4 6
12.5%
1 5
10.4%
5 5
10.4%
2 3
 
6.2%
8 1
 
2.1%
6 1
 
2.1%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing62
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean13089.409
Minimum11119
Maximum18553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:11.094966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11119
5-th percentile12036.3
Q112405
median12446.5
Q312522.25
95-th percentile17388.75
Maximum18553
Range7434
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation1899.7483
Coefficient of variation (CV)0.1451363
Kurtosis3.808617
Mean13089.409
Median Absolute Deviation (MAD)41.5
Skewness2.2252186
Sum287967
Variance3609043.8
MonotonicityNot monotonic
2023-12-11T07:51:11.236760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
12405 4
 
4.8%
12448 2
 
2.4%
12526 1
 
1.2%
18553 1
 
1.2%
11119 1
 
1.2%
17408 1
 
1.2%
17023 1
 
1.2%
12668 1
 
1.2%
12577 1
 
1.2%
12447 1
 
1.2%
Other values (8) 8
 
9.5%
(Missing) 62
73.8%
ValueCountFrequency (%)
11119 1
 
1.2%
12017 1
 
1.2%
12403 1
 
1.2%
12405 4
4.8%
12422 1
 
1.2%
12431 1
 
1.2%
12443 1
 
1.2%
12446 1
 
1.2%
12447 1
 
1.2%
12448 2
2.4%
ValueCountFrequency (%)
18553 1
1.2%
17408 1
1.2%
17023 1
1.2%
12668 1
1.2%
12577 1
1.2%
12526 1
1.2%
12511 1
1.2%
12457 1
1.2%
12448 2
2.4%
12447 1
1.2%

소재지도로명주소
Text

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T07:51:11.516156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length22.72619
Min length18

Characters and Unicode

Total characters1909
Distinct characters153
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)88.1%

Sample

1st row경기도 가평군 상면 임초밤안골로 269-16
2nd row경기도 가평군 상면 돌아우길 110-22
3rd row경기도 가평군 북면 꽃넘이길 115-80
4th row경기도 가평군 북면 꽃넘이길 115-78
5th row경기도 가평군 상면 수목원로 417-32
ValueCountFrequency (%)
경기도 84
 
19.4%
가평군 30
 
6.9%
화성시 17
 
3.9%
서신면 17
 
3.9%
해안길 12
 
2.8%
양평군 12
 
2.8%
청평면 9
 
2.1%
북면 8
 
1.8%
포천시 6
 
1.4%
단월면 5
 
1.2%
Other values (178) 234
53.9%
2023-12-11T07:51:11.934604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
18.3%
경 85
 
4.5%
도 85
 
4.5%
기 85
 
4.5%
1 82
 
4.3%
면 72
 
3.8%
길 70
 
3.7%
평 58
 
3.0%
2 52
 
2.7%
- 48
 
2.5%
Other values (143) 922
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1116
58.5%
Decimal Number 384
 
20.1%
Space Separator 350
 
18.3%
Dash Punctuation 48
 
2.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 85
 
7.6%
도 85
 
7.6%
기 85
 
7.6%
면 72
 
6.5%
길 70
 
6.3%
평 58
 
5.2%
군 45
 
4.0%
시 41
 
3.7%
로 40
 
3.6%
가 36
 
3.2%
Other values (127) 499
44.7%
Decimal Number
ValueCountFrequency (%)
1 82
21.4%
2 52
13.5%
7 35
9.1%
8 34
8.9%
5 33
8.6%
4 33
8.6%
3 30
 
7.8%
0 29
 
7.6%
9 28
 
7.3%
6 28
 
7.3%
Space Separator
ValueCountFrequency (%)
350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1116
58.5%
Common 792
41.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 85
 
7.6%
도 85
 
7.6%
기 85
 
7.6%
면 72
 
6.5%
길 70
 
6.3%
평 58
 
5.2%
군 45
 
4.0%
시 41
 
3.7%
로 40
 
3.6%
가 36
 
3.2%
Other values (127) 499
44.7%
Common
ValueCountFrequency (%)
350
44.2%
1 82
 
10.4%
2 52
 
6.6%
- 48
 
6.1%
7 35
 
4.4%
8 34
 
4.3%
5 33
 
4.2%
4 33
 
4.2%
3 30
 
3.8%
0 29
 
3.7%
Other values (5) 66
 
8.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1116
58.5%
ASCII 793
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
44.1%
1 82
 
10.3%
2 52
 
6.6%
- 48
 
6.1%
7 35
 
4.4%
8 34
 
4.3%
5 33
 
4.2%
4 33
 
4.2%
3 30
 
3.8%
0 29
 
3.7%
Other values (6) 67
 
8.4%
Hangul
ValueCountFrequency (%)
경 85
 
7.6%
도 85
 
7.6%
기 85
 
7.6%
면 72
 
6.5%
길 70
 
6.3%
평 58
 
5.2%
군 45
 
4.0%
시 41
 
3.7%
로 40
 
3.6%
가 36
 
3.2%
Other values (127) 499
44.7%

소재지지번주소
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T07:51:12.170300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length22.690476
Min length15

Characters and Unicode

Total characters1906
Distinct characters120
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 상면 임초리 621-4
2nd row경기도 가평군 상면 상동리 54-3
3rd row경기도 가평군 북면 제령리 611-2
4th row경기도 가평군 북면 제령리 611-6
5th row경기도 가평군 상면 행현리 614-1
ValueCountFrequency (%)
경기도 84
 
19.5%
가평군 30
 
7.0%
제부리 18
 
4.2%
화성시 17
 
3.9%
서신면 17
 
3.9%
양평군 12
 
2.8%
청평면 9
 
2.1%
북면 8
 
1.9%
포천시 6
 
1.4%
상면 5
 
1.2%
Other values (175) 225
52.2%
2023-12-11T07:51:12.558313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
370
19.4%
기 87
 
4.6%
리 85
 
4.5%
도 85
 
4.5%
경 84
 
4.4%
1 75
 
3.9%
면 72
 
3.8%
- 70
 
3.7%
평 60
 
3.1%
지 60
 
3.1%
Other values (110) 858
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
59.5%
Space Separator 370
 
19.4%
Decimal Number 330
 
17.3%
Dash Punctuation 70
 
3.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 87
 
7.7%
리 85
 
7.5%
도 85
 
7.5%
경 84
 
7.4%
면 72
 
6.3%
평 60
 
5.3%
지 60
 
5.3%
번 58
 
5.1%
군 44
 
3.9%
시 41
 
3.6%
Other values (96) 458
40.4%
Decimal Number
ValueCountFrequency (%)
1 75
22.7%
2 45
13.6%
3 38
11.5%
4 29
 
8.8%
7 28
 
8.5%
0 26
 
7.9%
9 23
 
7.0%
5 22
 
6.7%
8 22
 
6.7%
6 22
 
6.7%
Space Separator
ValueCountFrequency (%)
370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
59.5%
Common 772
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 87
 
7.7%
리 85
 
7.5%
도 85
 
7.5%
경 84
 
7.4%
면 72
 
6.3%
평 60
 
5.3%
지 60
 
5.3%
번 58
 
5.1%
군 44
 
3.9%
시 41
 
3.6%
Other values (96) 458
40.4%
Common
ValueCountFrequency (%)
370
47.9%
1 75
 
9.7%
- 70
 
9.1%
2 45
 
5.8%
3 38
 
4.9%
4 29
 
3.8%
7 28
 
3.6%
0 26
 
3.4%
9 23
 
3.0%
5 22
 
2.8%
Other values (4) 46
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
59.5%
ASCII 772
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
370
47.9%
1 75
 
9.7%
- 70
 
9.1%
2 45
 
5.8%
3 38
 
4.9%
4 29
 
3.8%
7 28
 
3.6%
0 26
 
3.4%
9 23
 
3.0%
5 22
 
2.8%
Other values (4) 46
 
6.0%
Hangul
ValueCountFrequency (%)
기 87
 
7.7%
리 85
 
7.5%
도 85
 
7.5%
경 84
 
7.4%
면 72
 
6.3%
평 60
 
5.3%
지 60
 
5.3%
번 58
 
5.1%
군 44
 
3.9%
시 41
 
3.6%
Other values (96) 458
40.4%

소재지우편번호
Text

Distinct50
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-11T07:51:12.758084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4166667
Min length5

Characters and Unicode

Total characters455
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

Unique37 ?
Unique (%)44.0%

Sample

1st row12447
2nd row12443
3rd row12405
4th row12405
5th row12448
ValueCountFrequency (%)
18553 17
 
20.2%
12405 4
 
4.8%
477812 4
 
4.8%
482812 3
 
3.6%
477842 3
 
3.6%
476851 2
 
2.4%
477811 2
 
2.4%
12668 2
 
2.4%
17023 2
 
2.4%
487851 2
 
2.4%
Other values (40) 43
51.2%
2023-12-11T07:51:13.136521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 85
18.7%
8 66
14.5%
4 62
13.6%
5 57
12.5%
7 55
12.1%
2 52
11.4%
3 31
 
6.8%
0 22
 
4.8%
6 18
 
4.0%
9 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 453
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 85
18.8%
8 66
14.6%
4 62
13.7%
5 57
12.6%
7 55
12.1%
2 52
11.5%
3 31
 
6.8%
0 22
 
4.9%
6 18
 
4.0%
9 5
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 85
18.7%
8 66
14.5%
4 62
13.6%
5 57
12.5%
7 55
12.1%
2 52
11.4%
3 31
 
6.8%
0 22
 
4.8%
6 18
 
4.0%
9 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 85
18.7%
8 66
14.5%
4 62
13.6%
5 57
12.5%
7 55
12.1%
2 52
11.4%
3 31
 
6.8%
0 22
 
4.8%
6 18
 
4.0%
9 5
 
1.1%

WGS84위도
Real number (ℝ)

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.579324
Minimum37.146958
Maximum38.087355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:13.575449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.146958
5-th percentile37.164597
Q137.258567
median37.687102
Q337.79402
95-th percentile37.934692
Maximum38.087355
Range0.94039715
Interquartile range (IQR)0.53545367

Descriptive statistics

Standard deviation0.28634108
Coefficient of variation (CV)0.0076196443
Kurtosis-1.3186407
Mean37.579324
Median Absolute Deviation (MAD)0.20678492
Skewness-0.35173492
Sum3156.6632
Variance0.081991215
MonotonicityNot monotonic
2023-12-11T07:51:13.710900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9406535827 2
 
2.4%
37.5908224952 2
 
2.4%
37.164597155 2
 
2.4%
37.9086108437 2
 
2.4%
37.9022315708 2
 
2.4%
37.7490582312 1
 
1.2%
37.1469579016 1
 
1.2%
37.9659224212 1
 
1.2%
37.8823137117 1
 
1.2%
37.8570932486 1
 
1.2%
Other values (69) 69
82.1%
ValueCountFrequency (%)
37.1469579016 1
1.2%
37.1629011583 1
1.2%
37.1640276612 1
1.2%
37.164368646 1
1.2%
37.164597155 2
2.4%
37.1652936505 1
1.2%
37.1654647019 1
1.2%
37.1660075268 1
1.2%
37.1660326418 1
1.2%
37.1665385382 1
1.2%
ValueCountFrequency (%)
38.0873550489 1
1.2%
37.9659224212 1
1.2%
37.9406535827 2
2.4%
37.9378902993 1
1.2%
37.9165683834 1
1.2%
37.9086108437 2
2.4%
37.9022315708 2
2.4%
37.9003693486 1
1.2%
37.9003423444 1
1.2%
37.9001079459 1
1.2%

WGS84경도
Real number (ℝ)

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22525
Minimum126.53297
Maximum127.6995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:13.843050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53297
5-th percentile126.61909
Q1126.95105
median127.36614
Q3127.49519
95-th percentile127.67954
Maximum127.6995
Range1.1665318
Interquartile range (IQR)0.5441419

Descriptive statistics

Standard deviation0.36441972
Coefficient of variation (CV)0.0028643663
Kurtosis-0.89592459
Mean127.22525
Median Absolute Deviation (MAD)0.15161411
Skewness-0.7569692
Sum10686.921
Variance0.13280173
MonotonicityNot monotonic
2023-12-11T07:51:14.021840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3069492573 2
 
2.4%
127.5864040662 2
 
2.4%
127.6911043808 2
 
2.4%
127.3804748841 2
 
2.4%
127.4669221615 2
 
2.4%
127.3623996407 1
 
1.2%
127.3403686038 1
 
1.2%
127.1317087763 1
 
1.2%
126.8207711853 1
 
1.2%
126.8964726177 1
 
1.2%
Other values (69) 69
82.1%
ValueCountFrequency (%)
126.5329698727 1
1.2%
126.6183419418 1
1.2%
126.6185801138 1
1.2%
126.6190700062 1
1.2%
126.6190766929 1
1.2%
126.6191642714 1
1.2%
126.6195630278 1
1.2%
126.6195828635 1
1.2%
126.6198223715 1
1.2%
126.6200441097 1
1.2%
ValueCountFrequency (%)
127.6995016616 1
1.2%
127.6911043808 2
2.4%
127.6814485093 1
1.2%
127.6805460328 1
1.2%
127.6738171423 1
1.2%
127.609042988 1
1.2%
127.5864040662 2
2.4%
127.5776366125 1
1.2%
127.5356813426 1
1.2%
127.5277897722 1
1.2%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

X좌표값
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing61
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean236530.15
Minimum166133.4
Maximum261404.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:14.158451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166133.4
5-th percentile219062.85
Q1231280.87
median236063.09
Q3245674.27
95-th percentile259401.25
Maximum261404.94
Range95271.538
Interquartile range (IQR)14393.401

Descriptive statistics

Standard deviation19222.614
Coefficient of variation (CV)0.081269194
Kurtosis7.7598052
Mean236530.15
Median Absolute Deviation (MAD)9280.4539
Skewness-2.2184357
Sum5440193.4
Variance3.695089 × 108
MonotonicityNot monotonic
2023-12-11T07:51:14.283918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
227994.450865819 1
 
1.2%
166133.398427111 1
 
1.2%
226914.514082173 1
 
1.2%
243910.735375496 1
 
1.2%
218864.213420774 1
 
1.2%
261404.936649171 1
 
1.2%
234416.522349245 1
 
1.2%
260028.519963864 1
 
1.2%
251726.120989786 1
 
1.2%
253755.787018143 1
 
1.2%
Other values (13) 13
 
15.5%
(Missing) 61
72.6%
ValueCountFrequency (%)
166133.398427111 1
1.2%
218864.213420774 1
1.2%
220850.626287365 1
1.2%
226914.514082173 1
1.2%
227994.450865819 1
1.2%
231118.158689702 1
1.2%
231443.580895352 1
1.2%
231896.549095364 1
1.2%
232758.934725904 1
1.2%
233403.335334228 1
1.2%
ValueCountFrequency (%)
261404.936649171 1
1.2%
260028.519963864 1
1.2%
253755.787018143 1
1.2%
251726.120989786 1
1.2%
250727.994740457 1
1.2%
245976.37055351 1
1.2%
245372.171849362 1
1.2%
245371.103277968 1
1.2%
245343.539796113 1
1.2%
244718.744732127 1
1.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing61
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean462950.09
Minimum407246.5
Maximum493151.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:14.422066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum407246.5
5-th percentile407713.03
Q1450413.1
median472261.12
Q3488565.79
95-th percentile490498.65
Maximum493151.33
Range85904.825
Interquartile range (IQR)38152.687

Descriptive statistics

Standard deviation28445.349
Coefficient of variation (CV)0.061443662
Kurtosis-0.21057416
Mean462950.09
Median Absolute Deviation (MAD)16497.833
Skewness-0.99060855
Sum10647852
Variance8.0913787 × 108
MonotonicityNot monotonic
2023-12-11T07:51:14.526771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
475755.122248596 1
 
1.2%
407705.74054242 1
 
1.2%
493151.32946783 1
 
1.2%
407778.598203741 1
 
1.2%
420647.851682655 1
 
1.2%
407246.504035534 1
 
1.2%
439622.571147368 1
 
1.2%
455595.328162474 1
 
1.2%
454455.235475758 1
 
1.2%
446370.960738431 1
 
1.2%
Other values (13) 13
 
15.5%
(Missing) 61
72.6%
ValueCountFrequency (%)
407246.504035534 1
1.2%
407705.74054242 1
1.2%
407778.598203741 1
1.2%
420647.851682655 1
1.2%
439622.571147368 1
1.2%
446370.960738431 1
1.2%
454455.235475758 1
1.2%
455595.328162474 1
1.2%
465150.867213061 1
1.2%
471311.818723111 1
1.2%
ValueCountFrequency (%)
493151.32946783 1
1.2%
490591.069337268 1
1.2%
489666.826738727 1
1.2%
488758.951335119 1
1.2%
488749.008481397 1
1.2%
488732.779980156 1
1.2%
488398.790238086 1
1.2%
477950.35128973 1
1.2%
475755.122248596 1
1.2%
473106.510909498 1
1.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
관광펜션업
84 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광펜션업 84
100.0%

Length

2023-12-11T07:51:14.651621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:14.755680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광펜션업 84
100.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing81
Missing (%)96.4%
Memory size804.0 B
2023-12-11T07:51:14.853513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.6666667
Min length4

Characters and Unicode

Total characters14
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row관리지역
2nd row전용주거지역
3rd row관리지역
ValueCountFrequency (%)
관리지역 2
66.7%
전용주거지역 1
33.3%
2023-12-11T07:51:15.197793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
관 2
14.3%
리 2
14.3%
전 1
 
7.1%
용 1
 
7.1%
주 1
 
7.1%
거 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
관 2
14.3%
리 2
14.3%
전 1
 
7.1%
용 1
 
7.1%
주 1
 
7.1%
거 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
관 2
14.3%
리 2
14.3%
전 1
 
7.1%
용 1
 
7.1%
주 1
 
7.1%
거 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
관 2
14.3%
리 2
14.3%
전 1
 
7.1%
용 1
 
7.1%
주 1
 
7.1%
거 1
 
7.1%

총층수
Categorical

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
61 
0
9 
2
7 
1
 
4
3
 
2

Length

Max length4
Median length4
Mean length3.1785714
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row2
2nd row1
3rd row2
4th row3
5th row0

Common Values

ValueCountFrequency (%)
<NA> 61
72.6%
0 9
 
10.7%
2 7
 
8.3%
1 4
 
4.8%
3 2
 
2.4%
4 1
 
1.2%

Length

2023-12-11T07:51:15.325359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:15.473103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
72.6%
0 9
 
10.7%
2 7
 
8.3%
1 4
 
4.8%
3 2
 
2.4%
4 1
 
1.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing83
Missing (%)98.8%
Memory size804.0 B
2023-12-11T07:51:15.603393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2023-12-11T07:51:15.860137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing83
Missing (%)98.8%
Memory size804.0 B
2023-12-11T07:51:16.028942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row현대해상화재보험
ValueCountFrequency (%)
현대해상화재보험 1
100.0%
2023-12-11T07:51:16.371905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
현 1
12.5%
대 1
12.5%
해 1
12.5%
상 1
12.5%
화 1
12.5%
재 1
12.5%
보 1
12.5%
험 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 1
12.5%
대 1
12.5%
해 1
12.5%
상 1
12.5%
화 1
12.5%
재 1
12.5%
보 1
12.5%
험 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 1
12.5%
대 1
12.5%
해 1
12.5%
상 1
12.5%
화 1
12.5%
재 1
12.5%
보 1
12.5%
험 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
현 1
12.5%
대 1
12.5%
해 1
12.5%
상 1
12.5%
화 1
12.5%
재 1
12.5%
보 1
12.5%
험 1
12.5%

건물용도명
Categorical

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
46 
숙박시설
20 
단독주택
11 
다가구용 주택(공동주택적용)
 
4
호텔
 
1
Other values (2)
 
2

Length

Max length15
Median length4
Mean length4.5
Min length2

Unique

Unique3 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
54.8%
숙박시설 20
23.8%
단독주택 11
 
13.1%
다가구용 주택(공동주택적용) 4
 
4.8%
호텔 1
 
1.2%
기타 1
 
1.2%
근린생활시설 1
 
1.2%

Length

2023-12-11T07:51:16.538985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:16.661487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
52.3%
숙박시설 20
22.7%
단독주택 11
 
12.5%
다가구용 4
 
4.5%
주택(공동주택적용 4
 
4.5%
호텔 1
 
1.1%
기타 1
 
1.1%
근린생활시설 1
 
1.1%

지상층수
Categorical

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
61 
0
11 
2
7 
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.1785714
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row0
2nd row1
3rd row2
4th row3
5th row0

Common Values

ValueCountFrequency (%)
<NA> 61
72.6%
0 11
 
13.1%
2 7
 
8.3%
1 3
 
3.6%
3 1
 
1.2%
4 1
 
1.2%

Length

2023-12-11T07:51:16.811652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:16.949002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
72.6%
0 11
 
13.1%
2 7
 
8.3%
1 3
 
3.6%
3 1
 
1.2%
4 1
 
1.2%

지하층수
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
19 
1
 
1

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 19
 
22.6%
1 1
 
1.2%

Length

2023-12-11T07:51:17.126717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:17.257857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 19
 
22.6%
1 1
 
1.2%

객실수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:17.408997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:17.545648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing83
Missing (%)98.8%
Memory size804.0 B
2023-12-11T07:51:17.712229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters16
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTHE GARDEN HOUSE
ValueCountFrequency (%)
the 1
33.3%
garden 1
33.3%
house 1
33.3%
2023-12-11T07:51:17.997501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 3
18.8%
H 2
12.5%
2
12.5%
T 1
 
6.2%
G 1
 
6.2%
A 1
 
6.2%
R 1
 
6.2%
D 1
 
6.2%
N 1
 
6.2%
O 1
 
6.2%
Other values (2) 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 14
87.5%
Space Separator 2
 
12.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 3
21.4%
H 2
14.3%
T 1
 
7.1%
G 1
 
7.1%
A 1
 
7.1%
R 1
 
7.1%
D 1
 
7.1%
N 1
 
7.1%
O 1
 
7.1%
U 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
87.5%
Common 2
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 3
21.4%
H 2
14.3%
T 1
 
7.1%
G 1
 
7.1%
A 1
 
7.1%
R 1
 
7.1%
D 1
 
7.1%
N 1
 
7.1%
O 1
 
7.1%
U 1
 
7.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 3
18.8%
H 2
12.5%
2
12.5%
T 1
 
6.2%
G 1
 
6.2%
A 1
 
6.2%
R 1
 
6.2%
D 1
 
6.2%
N 1
 
6.2%
O 1
 
6.2%
Other values (2) 2
12.5%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing83
Missing (%)98.8%
Memory size804.0 B
2023-12-11T07:51:18.145906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTOURISM PENSION
ValueCountFrequency (%)
tourism 1
50.0%
pension 1
50.0%
2023-12-11T07:51:18.455673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 2
13.3%
I 2
13.3%
S 2
13.3%
N 2
13.3%
T 1
6.7%
U 1
6.7%
R 1
6.7%
M 1
6.7%
1
6.7%
P 1
6.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 14
93.3%
Space Separator 1
 
6.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 2
14.3%
I 2
14.3%
S 2
14.3%
N 2
14.3%
T 1
7.1%
U 1
7.1%
R 1
7.1%
M 1
7.1%
P 1
7.1%
E 1
7.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
93.3%
Common 1
 
6.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 2
14.3%
I 2
14.3%
S 2
14.3%
N 2
14.3%
T 1
7.1%
U 1
7.1%
R 1
7.1%
M 1
7.1%
P 1
7.1%
E 1
7.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 2
13.3%
I 2
13.3%
S 2
13.3%
N 2
13.3%
T 1
6.7%
U 1
6.7%
R 1
6.7%
M 1
6.7%
1
6.7%
P 1
6.7%

선박총톤수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:18.609113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:18.708873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

선박수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:18.843945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:18.982214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:19.117022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:19.215733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:19.305413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:19.429505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)69.6%
Missing61
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean197.27174
Minimum0
Maximum652.83
Zeros8
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:19.537961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median185.25
Q3288.9
95-th percentile632.171
Maximum652.83
Range652.83
Interquartile range (IQR)288.9

Descriptive statistics

Standard deviation202.04365
Coefficient of variation (CV)1.0241895
Kurtosis0.35678029
Mean197.27174
Median Absolute Deviation (MAD)185.25
Skewness0.97417957
Sum4537.25
Variance40821.637
MonotonicityNot monotonic
2023-12-11T07:51:19.631760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 8
 
9.5%
446.96 1
 
1.2%
444.76 1
 
1.2%
309.18 1
 
1.2%
125.35 1
 
1.2%
118.5 1
 
1.2%
652.75 1
 
1.2%
196.83 1
 
1.2%
169.53 1
 
1.2%
268.62 1
 
1.2%
Other values (6) 6
 
7.1%
(Missing) 61
72.6%
ValueCountFrequency (%)
0.0 8
9.5%
118.5 1
 
1.2%
125.35 1
 
1.2%
169.53 1
 
1.2%
185.25 1
 
1.2%
188.68 1
 
1.2%
196.83 1
 
1.2%
223.48 1
 
1.2%
228.82 1
 
1.2%
268.62 1
 
1.2%
ValueCountFrequency (%)
652.83 1
1.2%
652.75 1
1.2%
446.96 1
1.2%
444.76 1
1.2%
325.71 1
1.2%
309.18 1
1.2%
268.62 1
1.2%
228.82 1
1.2%
223.48 1
1.2%
196.83 1
1.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
64 
0
20 

Length

Max length4
Median length4
Mean length3.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 64
76.2%
0 20
 
23.8%

Length

2023-12-11T07:51:19.766710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:19.872301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
76.2%
0 20
 
23.8%

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)65.2%
Missing61
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean197.34783
Minimum0
Maximum653
Zeros8
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-11T07:51:19.952399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median185
Q3289
95-th percentile632.4
Maximum653
Range653
Interquartile range (IQR)289

Descriptive statistics

Standard deviation202.10475
Coefficient of variation (CV)1.0241042
Kurtosis0.35676447
Mean197.34783
Median Absolute Deviation (MAD)185
Skewness0.97405573
Sum4539
Variance40846.328
MonotonicityNot monotonic
2023-12-11T07:51:20.049931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 8
 
9.5%
653 2
 
2.4%
197 1
 
1.2%
447 1
 
1.2%
445 1
 
1.2%
309 1
 
1.2%
125 1
 
1.2%
119 1
 
1.2%
326 1
 
1.2%
170 1
 
1.2%
Other values (5) 5
 
6.0%
(Missing) 61
72.6%
ValueCountFrequency (%)
0 8
9.5%
119 1
 
1.2%
125 1
 
1.2%
170 1
 
1.2%
185 1
 
1.2%
189 1
 
1.2%
197 1
 
1.2%
223 1
 
1.2%
229 1
 
1.2%
269 1
 
1.2%
ValueCountFrequency (%)
653 2
2.4%
447 1
1.2%
445 1
1.2%
326 1
1.2%
309 1
1.2%
269 1
1.2%
229 1
1.2%
223 1
1.2%
197 1
1.2%
189 1
1.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
0가평군벨르앙쥬펜션2023-04-12<NA>13영업중<NA><NA><NA>12447경기도 가평군 상면 임초밤안골로 269-16경기도 가평군 상면 임초리 621-41244737.749058127.3624<NA>231896.549095471914.406608관광펜션업<NA>2<NA><NA><NA><NA>000<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0
1가평군휴우일2023-04-21<NA>13영업중<NA><NA><NA>12443경기도 가평군 상면 돌아우길 110-22경기도 가평군 상면 상동리 54-31244337.783853127.318612<NA>227994.450866475755.122249관광펜션업관리지역1<NA><NA><NA><NA>100<NA><NA>00<NA>0<NA>0196.83<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>197
2가평군보쏭2023-09-20<NA>13영업중<NA><NA><NA>12405경기도 가평군 북면 꽃넘이길 115-80경기도 가평군 북면 제령리 611-21240537.900369127.516584<NA>245372.171849488758.951335관광펜션업<NA>2<NA><NA><NA><NA>200<NA><NA>00<NA>0<NA>0446.96<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>447
3가평군가둘기정원 꽃넘이2023-09-20<NA>13영업중<NA><NA><NA>12405경기도 가평군 북면 꽃넘이길 115-78경기도 가평군 북면 제령리 611-61240537.900108127.516755<NA>245371.103278488732.77998관광펜션업<NA>3<NA><NA><NA><NA>300<NA><NA>00<NA>0<NA>0444.76<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>445
4가평군두메산골2023-10-20<NA>13영업중<NA><NA><NA>12448경기도 가평군 상면 수목원로 417-32경기도 가평군 상면 행현리 614-11244837.743874127.353885<NA>231118.15869471311.818723관광펜션업<NA>0<NA><NA><NA><NA>000<NA><NA>00<NA>0<NA>0309.18<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>309
5가평군레브2023-08-31<NA>13영업중<NA><NA><NA>12448경기도 가평군 상면 수목원로 238-99경기도 가평군 상면 행현리 481-251244837.758093127.357762<NA>231443.580895472930.248237관광펜션업<NA>2<NA><NA><NA>단독주택200<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0
6가평군지니키즈독채풀빌라2023-03-17<NA>13영업중<NA><NA><NA>12457경기도 가평군 청평면 남이터길 28-31경기도 가평군 청평면 대성리 406-31245737.68822127.372255<NA>232758.934726465150.867213관광펜션업<NA>2<NA><NA><NA><NA>200<NA><NA>00<NA>0<NA>0125.35<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>125
7가평군용당스테이2023-06-29<NA>13영업중<NA><NA><NA>12403경기도 가평군 북면 멱골로 311경기도 가평군 북면 목동리 3241240337.916568127.577637<NA>250727.99474490591.069337관광펜션업<NA>1<NA><NA><NA>단독주택100<NA><NA>00<NA>0<NA>0118.5<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>119
8가평군가평펜션 타샤의정원2010-08-05<NA>13영업중<NA>031-585-7027<NA>12431경기도 가평군 조종면 명지산로 337-251경기도 가평군 조종면 상판리 1471243137.908611127.380475<NA>233403.335334489666.826739관광펜션업<NA>2<NA><NA><NA>숙박시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>652.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>653
9가평군미가쉴가족펜션2023-09-21<NA>13영업중<NA><NA><NA>12422경기도 가평군 가평읍 북한강변로 1007-50경기도 가평군 가평읍 달전리 170-71242237.802945127.522844<NA>245976.370554477950.35129관광펜션업<NA>4<NA><NA><NA><NA>400<NA><NA>00<NA>0<NA>0325.71<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>326
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자부대시설내역시설규모
74화성시해송펜션20170921<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길 116-7경기도 화성시 서신면 제부리 41-1번지1855337.166539126.624581<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
75화성시초원펜션20170814<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길 96-1경기도 화성시 서신면 제부리 40-51855337.167354126.626418<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
76화성시동미산펜션20171018<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 제부말길 165경기도 화성시 서신면 제부리 76번지1855337.164369126.620044<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77화성시수에뇨펜션20170810<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길 377경기도 화성시 서신면 제부리 270-81855337.174187126.619164<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78화성시미고펜션20170810<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길178번길 48-7경기도 화성시 서신면 제부리 103번지1855337.166008126.619822<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
79화성시연리지펜션20180316<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길 150경기도 화성시 서신면 제부리 42-15번지1855337.164028126.622684<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
80화성시휴콘도20180614<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길 272경기도 화성시 서신면 제부리 190-191번지1855337.165465126.618342<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
81화성시리베펜션20170907<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길178번길 72 (및 해안길 178번길 74)경기도 화성시 서신면 제부리 187번지 (및 187-2번지)1855337.168147126.619077<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82화성시다소니펜션20170714<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 해안길442번길 62-6경기도 화성시 서신면 제부리 10-201855337.172852126.627594<NA><NA><NA>관광펜션업<NA><NA><NA><NA><NA>숙박시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83화성시섬마을콘도민박2018-09-18<NA>3폐업2023-08-28031-355-0271<NA>18553경기도 화성시 서신면 해안길178번길 96경기도 화성시 서신면 제부리 198-61855337.170172126.61858<NA>166133.398427407705.740542관광펜션업<NA>1<NA><NA>현대해상화재보험<NA>000<NA><NA>00<NA>0<NA>0185.25<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>185