Overview

Dataset statistics

Number of variables54
Number of observations21
Missing cells549
Missing cells (%)48.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory480.3 B

Variable types

Text8
Categorical14
DateTime1
Numeric9
Unsupported22

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
영업상태 is highly imbalanced (72.4%)Imbalance
폐업일자 is highly imbalanced (72.4%)Imbalance
시군명 has 1 (4.8%) missing valuesMissing
전화번호 has 6 (28.6%) missing valuesMissing
인허가취소일자 has 21 (100.0%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
문화사업자구분명 has 20 (95.2%) missing valuesMissing
지역구분명 has 17 (81.0%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
보험기관명 has 21 (100.0%) missing valuesMissing
건물용도명 has 16 (76.2%) missing valuesMissing
건축연면적 has 8 (38.1%) missing valuesMissing
영문상호명 has 21 (100.0%) missing valuesMissing
영문상호주소 has 21 (100.0%) missing valuesMissing
선박제원 has 21 (100.0%) missing valuesMissing
기념품종류 has 21 (100.0%) missing valuesMissing
시설면적 has 6 (28.6%) missing valuesMissing
놀이기구수내역 has 21 (100.0%) missing valuesMissing
방송시설유무 has 21 (100.0%) missing valuesMissing
발전시설유무 has 21 (100.0%) missing valuesMissing
의무실유무 has 21 (100.0%) missing valuesMissing
안내소유무 has 21 (100.0%) missing valuesMissing
기획여행보험시작일자 has 21 (100.0%) missing valuesMissing
기획여행보험종료일자 has 21 (100.0%) missing valuesMissing
자본금 has 7 (33.3%) missing valuesMissing
보험시작일자 has 21 (100.0%) missing valuesMissing
보험종료일자 has 21 (100.0%) missing valuesMissing
부대시설내역 has 21 (100.0%) missing valuesMissing
시설규모 has 6 (28.6%) missing valuesMissing
사업장명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
X좌표값 has unique valuesUnique
Y좌표값 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 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
방송시설유무 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
건축연면적 has 8 (38.1%) zerosZeros
시설면적 has 3 (14.3%) zerosZeros
자본금 has 8 (38.1%) zerosZeros
시설규모 has 3 (14.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:23:13.547318
Analysis finished2023-12-10 21:23:14.084627
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

MISSING 

Distinct13
Distinct (%)65.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-11T06:23:14.178236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60
Distinct characters20
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

Unique10 ?
Unique (%)50.0%

Sample

1st row가평군
2nd row과천시
3rd row구리시
4th row안산시
5th row안산시
ValueCountFrequency (%)
이천시 4
20.0%
포천시 4
20.0%
안산시 2
10.0%
가평군 1
 
5.0%
과천시 1
 
5.0%
구리시 1
 
5.0%
안성시 1
 
5.0%
양주시 1
 
5.0%
양평군 1
 
5.0%
여주시 1
 
5.0%
Other values (3) 3
15.0%
2023-12-11T06:23:14.439468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 18
30.0%
천 9
15.0%
이 4
 
6.7%
포 4
 
6.7%
안 3
 
5.0%
주 3
 
5.0%
산 2
 
3.3%
평 2
 
3.3%
군 2
 
3.3%
성 2
 
3.3%
Other values (10) 11
18.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 18
30.0%
천 9
15.0%
이 4
 
6.7%
포 4
 
6.7%
안 3
 
5.0%
주 3
 
5.0%
산 2
 
3.3%
평 2
 
3.3%
군 2
 
3.3%
성 2
 
3.3%
Other values (10) 11
18.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 18
30.0%
천 9
15.0%
이 4
 
6.7%
포 4
 
6.7%
안 3
 
5.0%
주 3
 
5.0%
산 2
 
3.3%
평 2
 
3.3%
군 2
 
3.3%
성 2
 
3.3%
Other values (10) 11
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 18
30.0%
천 9
15.0%
이 4
 
6.7%
포 4
 
6.7%
안 3
 
5.0%
주 3
 
5.0%
산 2
 
3.3%
평 2
 
3.3%
군 2
 
3.3%
성 2
 
3.3%
Other values (10) 11
18.3%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T06:23:14.622087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.7619048
Min length4

Characters and Unicode

Total characters163
Distinct characters83
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row국립유명산자연휴양림
2nd row(주) 서울랜드
3rd row빅팜컴퍼니
4th row(주)유리섬
5th row종이미술관
ValueCountFrequency (%)
주 2
 
8.0%
국립유명산자연휴양림 1
 
4.0%
율암온천 1
 
4.0%
허브아일랜드 1
 
4.0%
포레스트힐cc 1
 
4.0%
신북리조트 1
 
4.0%
주식회사 1
 
4.0%
국립운악산자연휴양림 1
 
4.0%
가든 1
 
4.0%
퍼스트 1
 
4.0%
Other values (14) 14
56.0%
2023-12-11T06:23:14.944469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 7
 
4.3%
주 7
 
4.3%
( 6
 
3.7%
) 6
 
3.7%
국 5
 
3.1%
자 5
 
3.1%
연 5
 
3.1%
휴 5
 
3.1%
양 5
 
3.1%
림 5
 
3.1%
Other values (73) 107
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
89.0%
Open Punctuation 6
 
3.7%
Close Punctuation 6
 
3.7%
Space Separator 4
 
2.5%
Lowercase Letter 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 7
 
4.8%
주 7
 
4.8%
국 5
 
3.4%
자 5
 
3.4%
연 5
 
3.4%
휴 5
 
3.4%
양 5
 
3.4%
림 5
 
3.4%
트 5
 
3.4%
립 5
 
3.4%
Other values (69) 91
62.8%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145
89.0%
Common 16
 
9.8%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 7
 
4.8%
주 7
 
4.8%
국 5
 
3.4%
자 5
 
3.4%
연 5
 
3.4%
휴 5
 
3.4%
양 5
 
3.4%
림 5
 
3.4%
트 5
 
3.4%
립 5
 
3.4%
Other values (69) 91
62.8%
Common
ValueCountFrequency (%)
( 6
37.5%
) 6
37.5%
4
25.0%
Latin
ValueCountFrequency (%)
c 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
89.0%
ASCII 18
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 7
 
4.8%
주 7
 
4.8%
국 5
 
3.4%
자 5
 
3.4%
연 5
 
3.4%
휴 5
 
3.4%
양 5
 
3.4%
림 5
 
3.4%
트 5
 
3.4%
립 5
 
3.4%
Other values (69) 91
62.8%
ASCII
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
4
22.2%
c 2
 
11.1%

영업상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
20 
폐업
 
1

Length

Max length3
Median length3
Mean length2.952381
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
95.2%
폐업 1
 
4.8%

Length

2023-12-11T06:23:15.063612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:15.153075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
95.2%
폐업 1
 
4.8%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2003-10-30 00:00:00
Maximum2023-05-08 00:00:00
2023-12-11T06:23:15.251546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:15.375247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T06:23:15.640044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length25.095238
Min length19

Characters and Unicode

Total characters527
Distinct characters115
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

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 설악면 유명산길 79-53, 유명산자연휴양림
2nd row경기도 과천시 광명로 181 (막계동)
3rd row경기도 구리시 아치울길 129 (아천동)
4th row경기도 안산시 단원구 부흥로 254 (대부남동)
5th row경기도 안산시 단원구 대남로 233 (대부남동)
ValueCountFrequency (%)
경기도 20
 
17.4%
포천시 4
 
3.5%
이천시 4
 
3.5%
안산시 2
 
1.7%
화현면 2
 
1.7%
신북면 2
 
1.7%
대부남동 2
 
1.7%
단원구 2
 
1.7%
모가면 2
 
1.7%
팔탄면 1
 
0.9%
Other values (74) 74
64.3%
2023-12-11T06:23:16.112486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
17.8%
기 23
 
4.4%
경 20
 
3.8%
도 20
 
3.8%
시 19
 
3.6%
로 16
 
3.0%
천 13
 
2.5%
1 11
 
2.1%
면 11
 
2.1%
2 10
 
1.9%
Other values (105) 290
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
62.4%
Space Separator 94
 
17.8%
Decimal Number 74
 
14.0%
Open Punctuation 9
 
1.7%
Close Punctuation 9
 
1.7%
Other Punctuation 6
 
1.1%
Dash Punctuation 4
 
0.8%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
7.0%
경 20
 
6.1%
도 20
 
6.1%
시 19
 
5.8%
로 16
 
4.9%
천 13
 
4.0%
면 11
 
3.3%
동 9
 
2.7%
길 8
 
2.4%
산 7
 
2.1%
Other values (88) 183
55.6%
Decimal Number
ValueCountFrequency (%)
1 11
14.9%
2 10
13.5%
3 10
13.5%
4 9
12.2%
7 7
9.5%
8 7
9.5%
5 7
9.5%
6 6
8.1%
9 6
8.1%
0 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
62.4%
Common 196
37.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
7.0%
경 20
 
6.1%
도 20
 
6.1%
시 19
 
5.8%
로 16
 
4.9%
천 13
 
4.0%
면 11
 
3.3%
동 9
 
2.7%
길 8
 
2.4%
산 7
 
2.1%
Other values (88) 183
55.6%
Common
ValueCountFrequency (%)
94
48.0%
1 11
 
5.6%
2 10
 
5.1%
3 10
 
5.1%
4 9
 
4.6%
( 9
 
4.6%
) 9
 
4.6%
7 7
 
3.6%
8 7
 
3.6%
5 7
 
3.6%
Other values (6) 23
 
11.7%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
62.4%
ASCII 198
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
47.5%
1 11
 
5.6%
2 10
 
5.1%
3 10
 
5.1%
4 9
 
4.5%
( 9
 
4.5%
) 9
 
4.5%
7 7
 
3.5%
8 7
 
3.5%
5 7
 
3.5%
Other values (7) 25
 
12.6%
Hangul
ValueCountFrequency (%)
기 23
 
7.0%
경 20
 
6.1%
도 20
 
6.1%
시 19
 
5.8%
로 16
 
4.9%
천 13
 
4.0%
면 11
 
3.3%
동 9
 
2.7%
길 8
 
2.4%
산 7
 
2.1%
Other values (88) 183
55.6%

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T06:23:16.372013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.095238
Min length11

Characters and Unicode

Total characters506
Distinct characters110
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

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 설악면 가일리 산 35 유명산자연휴양림
2nd row경기도 과천시 막계동
3rd row경기도 구리시 아천동 380-25번지
4th row경기도 안산시 단원구 대부남동 3-13
5th row경기도 안산시 단원구 대부남동 460-134
ValueCountFrequency (%)
경기도 20
 
17.7%
산 6
 
5.3%
이천시 4
 
3.5%
포천시 4
 
3.5%
안산시 2
 
1.8%
103 2
 
1.8%
화현면 2
 
1.8%
신북면 2
 
1.8%
대부남동 2
 
1.8%
단원구 2
 
1.8%
Other values (66) 67
59.3%
2023-12-11T06:23:16.747114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
21.5%
기 22
 
4.3%
경 20
 
4.0%
도 20
 
4.0%
시 19
 
3.8%
1 17
 
3.4%
리 16
 
3.2%
- 14
 
2.8%
산 14
 
2.8%
3 13
 
2.6%
Other values (100) 242
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
59.7%
Space Separator 109
 
21.5%
Decimal Number 76
 
15.0%
Dash Punctuation 14
 
2.8%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 22
 
7.3%
경 20
 
6.6%
도 20
 
6.6%
시 19
 
6.3%
리 16
 
5.3%
산 14
 
4.6%
천 12
 
4.0%
면 11
 
3.6%
동 8
 
2.6%
안 6
 
2.0%
Other values (84) 154
51.0%
Decimal Number
ValueCountFrequency (%)
1 17
22.4%
3 13
17.1%
2 11
14.5%
0 8
10.5%
5 6
 
7.9%
4 5
 
6.6%
8 5
 
6.6%
6 4
 
5.3%
7 4
 
5.3%
9 3
 
3.9%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
59.7%
Common 202
39.9%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 22
 
7.3%
경 20
 
6.6%
도 20
 
6.6%
시 19
 
6.3%
리 16
 
5.3%
산 14
 
4.6%
천 12
 
4.0%
면 11
 
3.6%
동 8
 
2.6%
안 6
 
2.0%
Other values (84) 154
51.0%
Common
ValueCountFrequency (%)
109
54.0%
1 17
 
8.4%
- 14
 
6.9%
3 13
 
6.4%
2 11
 
5.4%
0 8
 
4.0%
5 6
 
3.0%
4 5
 
2.5%
8 5
 
2.5%
6 4
 
2.0%
Other values (5) 10
 
5.0%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
59.7%
ASCII 204
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
53.4%
1 17
 
8.3%
- 14
 
6.9%
3 13
 
6.4%
2 11
 
5.4%
0 8
 
3.9%
5 6
 
2.9%
4 5
 
2.5%
8 5
 
2.5%
6 4
 
2.0%
Other values (6) 12
 
5.9%
Hangul
ValueCountFrequency (%)
기 22
 
7.3%
경 20
 
6.6%
도 20
 
6.6%
시 19
 
6.3%
리 16
 
5.3%
산 14
 
4.6%
천 12
 
4.0%
면 11
 
3.6%
동 8
 
2.6%
안 6
 
2.0%
Other values (84) 154
51.0%

우편번호
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15228.619
Minimum10911
Maximum35403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:16.886317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10911
5-th percentile11123
Q111518
median13829
Q317388
95-th percentile18530
Maximum35403
Range24492
Interquartile range (IQR)5870

Descriptive statistics

Standard deviation5382.6639
Coefficient of variation (CV)0.35345712
Kurtosis9.9960177
Mean15228.619
Median Absolute Deviation (MAD)2704
Skewness2.7653675
Sum319801
Variance28973071
MonotonicityNot monotonic
2023-12-11T06:23:16.998734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
17406 2
 
9.5%
11137 2
 
9.5%
13829 1
 
4.8%
35403 1
 
4.8%
18530 1
 
4.8%
11125 1
 
4.8%
11123 1
 
4.8%
10911 1
 
4.8%
17388 1
 
4.8%
17372 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
10911 1
4.8%
11123 1
4.8%
11125 1
4.8%
11137 2
9.5%
11518 1
4.8%
11956 1
4.8%
12473 1
4.8%
12527 1
4.8%
12656 1
4.8%
13829 1
4.8%
ValueCountFrequency (%)
35403 1
4.8%
18530 1
4.8%
17518 1
4.8%
17406 2
9.5%
17388 1
4.8%
17372 1
4.8%
17087 1
4.8%
15650 1
4.8%
15649 1
4.8%
13829 1
4.8%

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Memory size300.0 B
2023-12-11T06:23:17.168037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.6
Min length8

Characters and Unicode

Total characters174
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row031-589-5487
2nd row070-8821-5034
3rd row032-885-6262
4th row032 887 0606
5th row031-871-2796
ValueCountFrequency (%)
031-589-5487 1
 
5.3%
0316310554 1
 
5.3%
031-535-6495 1
 
5.3%
031-536-4410 1
 
5.3%
031-957-2278 1
 
5.3%
031-645-2000 1
 
5.3%
5029 1
 
5.3%
633 1
 
5.3%
031 1
 
5.3%
630-7636 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T06:23:17.470788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
14.9%
3 21
12.1%
- 21
12.1%
1 19
10.9%
5 15
8.6%
8 15
8.6%
6 15
8.6%
2 13
7.5%
7 11
6.3%
9 7
 
4.0%
Other values (2) 11
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 149
85.6%
Dash Punctuation 21
 
12.1%
Space Separator 4
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
17.4%
3 21
14.1%
1 19
12.8%
5 15
10.1%
8 15
10.1%
6 15
10.1%
2 13
8.7%
7 11
7.4%
9 7
 
4.7%
4 7
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
14.9%
3 21
12.1%
- 21
12.1%
1 19
10.9%
5 15
8.6%
8 15
8.6%
6 15
8.6%
2 13
7.5%
7 11
6.3%
9 7
 
4.0%
Other values (2) 11
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
14.9%
3 21
12.1%
- 21
12.1%
1 19
10.9%
5 15
8.6%
8 15
8.6%
6 15
8.6%
2 13
7.5%
7 11
6.3%
9 7
 
4.0%
Other values (2) 11
6.3%

WGS84위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.413752
Minimum36.308175
Maximum37.973511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:17.594687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.308175
5-th percentile37.093558
Q137.211608
median37.276832
Q337.732283
95-th percentile37.965922
Maximum37.973511
Range1.6653354
Interquartile range (IQR)0.52067495

Descriptive statistics

Standard deviation0.39280059
Coefficient of variation (CV)0.010498829
Kurtosis1.7045578
Mean37.413752
Median Absolute Deviation (MAD)0.18327345
Skewness-0.75625075
Sum785.68879
Variance0.1542923
MonotonicityNot monotonic
2023-12-11T06:23:17.736676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.5929359062 1
 
4.8%
37.4371369 1
 
4.8%
36.3081750557 1
 
4.8%
37.1520898953 1
 
4.8%
37.9659224212 1
 
4.8%
37.8731091624 1
 
4.8%
37.9735105 1
 
4.8%
37.8831137023 1
 
4.8%
37.732282669 1
 
4.8%
37.1947290075 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
36.3081750557 1
4.8%
37.093558097 1
4.8%
37.1520898953 1
4.8%
37.1542659198 1
4.8%
37.1947290075 1
4.8%
37.2116077205 1
4.8%
37.2177725 1
4.8%
37.2197885275 1
4.8%
37.2241432214 1
4.8%
37.2323174442 1
4.8%
ValueCountFrequency (%)
37.9735105 1
4.8%
37.9659224212 1
4.8%
37.8831137023 1
4.8%
37.8731091624 1
4.8%
37.7738304915 1
4.8%
37.732282669 1
4.8%
37.596139125 1
4.8%
37.5929359062 1
4.8%
37.5755321 1
4.8%
37.4371369 1
4.8%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.19215
Minimum126.57673
Maximum127.60222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:18.066584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57673
5-th percentile126.60239
Q1127.02463
median127.27598
Q3127.43695
95-th percentile127.57521
Maximum127.60222
Range1.02549
Interquartile range (IQR)0.41231761

Descriptive statistics

Standard deviation0.30162045
Coefficient of variation (CV)0.0023713764
Kurtosis-0.41709037
Mean127.19215
Median Absolute Deviation (MAD)0.17261734
Skewness-0.66122656
Sum2671.0351
Variance0.090974897
MonotonicityNot monotonic
2023-12-11T06:23:18.210696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
127.4910626007 1
 
4.8%
127.0246331 1
 
4.8%
127.3723151174 1
 
4.8%
126.8822453745 1
 
4.8%
127.1317087763 1
 
4.8%
127.2759824364 1
 
4.8%
127.1033651 1
 
4.8%
127.3064968525 1
 
4.8%
126.7931712695 1
 
4.8%
127.4459485076 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.5767315005 1
4.8%
126.6023925616 1
4.8%
126.7931712695 1
4.8%
126.8822453745 1
4.8%
126.9421724247 1
4.8%
127.0246331 1
4.8%
127.1033651 1
4.8%
127.1150425 1
4.8%
127.1317087763 1
4.8%
127.1373255 1
4.8%
ValueCountFrequency (%)
127.6022215098 1
4.8%
127.5752067975 1
4.8%
127.4910626007 1
4.8%
127.4514734603 1
4.8%
127.4459485076 1
4.8%
127.4369507105 1
4.8%
127.4314045964 1
4.8%
127.3723151174 1
4.8%
127.3372239311 1
4.8%
127.3064968525 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
20160310
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
20160310 1
 
4.8%

Length

2023-12-11T06:23:18.331070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:18.425262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
20160310 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

X좌표값
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216932
Minimum162331.25
Maximum252780.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:18.515321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162331.25
5-th percentile164602.61
Q1202115.87
median224247.04
Q3238752.71
95-th percentile251006.81
Maximum252780.82
Range90449.563
Interquartile range (IQR)36636.836

Descriptive statistics

Standard deviation26726.197
Coefficient of variation (CV)0.12320081
Kurtosis-0.41235394
Mean216932
Median Absolute Deviation (MAD)15306.224
Skewness-0.66369514
Sum4555571.9
Variance7.1428963 × 108
MonotonicityNot monotonic
2023-12-11T06:23:18.613643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
244313.698652221 1
 
4.8%
202115.873649386 1
 
4.8%
233412.13252985 1
 
4.8%
189471.679557493 1
 
4.8%
211501.230277291 1
 
4.8%
224247.03750095 1
 
4.8%
209094.044201368 1
 
4.8%
226944.386311581 1
 
4.8%
181727.511035026 1
 
4.8%
239553.261443143 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
162331.251675495 1
4.8%
164602.609308044 1
4.8%
181727.511035026 1
4.8%
189471.679557493 1
4.8%
194819.616299313 1
4.8%
202115.873649386 1
4.8%
209094.044201368 1
4.8%
210098.072819837 1
4.8%
211501.230277291 1
4.8%
212122.005439388 1
4.8%
ValueCountFrequency (%)
252780.815093238 1
4.8%
251006.805899228 1
4.8%
244313.698652221 1
4.8%
239991.447045696 1
4.8%
239553.261443143 1
4.8%
238752.709300856 1
4.8%
236802.906244874 1
4.8%
233412.13252985 1
4.8%
229882.840983991 1
4.8%
226944.386311581 1
4.8%

Y좌표값
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434653
Minimum311968.29
Maximum496849.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:18.712607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum311968.29
5-th percentile399109.9
Q1412615.75
median419516.98
Q3469875.94
95-th percentile495861.16
Maximum496849.36
Range184881.07
Interquartile range (IQR)57260.197

Descriptive statistics

Standard deviation43524.959
Coefficient of variation (CV)0.10013726
Kurtosis1.729354
Mean434653
Median Absolute Deviation (MAD)20407.08
Skewness-0.7617856
Sum9127713
Variance1.8944221 × 109
MonotonicityNot monotonic
2023-12-11T06:23:18.815378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
453790.678435376 1
 
4.8%
437231.71060133 1
 
4.8%
311968.292531098 1
 
4.8%
405584.56141029 1
 
4.8%
495861.162165225 1
 
4.8%
485608.85427102 1
 
4.8%
496849.358733571 1
 
4.8%
486666.478127814 1
 
4.8%
469875.943819363 1
 
4.8%
410352.407905357 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
311968.292531098 1
4.8%
399109.901042026 1
4.8%
405584.56141029 1
4.8%
406170.473566347 1
4.8%
410352.407905357 1
4.8%
412615.746328495 1
4.8%
412894.154254346 1
4.8%
413266.170063822 1
4.8%
413701.582834847 1
4.8%
414384.405711274 1
4.8%
ValueCountFrequency (%)
496849.358733571 1
4.8%
495861.162165225 1
4.8%
486666.478127814 1
4.8%
485608.85427102 1
4.8%
473707.085647216 1
4.8%
469875.943819363 1
4.8%
455960.263366314 1
4.8%
453790.678435376 1
4.8%
452596.767911287 1
4.8%
437231.71060133 1
4.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
전문휴양업
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전문휴양업 21
100.0%

Length

2023-12-11T06:23:18.927586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:19.009507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문휴양업 21
100.0%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2023-12-11T06:23:19.115080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 row관광사업
ValueCountFrequency (%)
관광사업 1
100.0%
2023-12-11T06:23:19.322319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing17
Missing (%)81.0%
Memory size300.0 B
2023-12-11T06:23:19.448942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters16
Distinct characters6
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 (%)25.0%

Sample

1st row주거지역
2nd row관리지역
3rd row관리지역
4th row관리지역
ValueCountFrequency (%)
관리지역 3
75.0%
주거지역 1
 
25.0%
2023-12-11T06:23:19.654610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
25.0%
역 4
25.0%
관 3
18.8%
리 3
18.8%
주 1
 
6.2%
거 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
25.0%
역 4
25.0%
관 3
18.8%
리 3
18.8%
주 1
 
6.2%
거 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
25.0%
역 4
25.0%
관 3
18.8%
리 3
18.8%
주 1
 
6.2%
거 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
25.0%
역 4
25.0%
관 3
18.8%
리 3
18.8%
주 1
 
6.2%
거 1
 
6.2%

총층수
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
9 
0
8 
1
2 
3
2 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row3

Common Values

ValueCountFrequency (%)
<NA> 9
42.9%
0 8
38.1%
1 2
 
9.5%
3 2
 
9.5%

Length

2023-12-11T06:23:19.782096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:19.882157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
42.9%
0 8
38.1%
1 2
 
9.5%
3 2
 
9.5%

주변환경명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
기타
5 
주택가주변
 
1

Length

Max length5
Median length4
Mean length3.5714286
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
71.4%
기타 5
 
23.8%
주택가주변 1
 
4.8%

Length

2023-12-11T06:23:19.993477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:20.119991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
기타 5
 
23.8%
주택가주변 1
 
4.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건물용도명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing16
Missing (%)76.2%
Memory size300.0 B
2023-12-11T06:23:20.253753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.2
Min length4

Characters and Unicode

Total characters26
Distinct characters10
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

Unique2 ?
Unique (%)40.0%

Sample

1st row문화시설
2nd row체육시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
60.0%
문화시설 1
 
20.0%
체육시설 1
 
20.0%
2023-12-11T06:23:20.523166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
19.2%
설 5
19.2%
근 3
11.5%
린 3
11.5%
생 3
11.5%
활 3
11.5%
문 1
 
3.8%
화 1
 
3.8%
체 1
 
3.8%
육 1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
19.2%
설 5
19.2%
근 3
11.5%
린 3
11.5%
생 3
11.5%
활 3
11.5%
문 1
 
3.8%
화 1
 
3.8%
체 1
 
3.8%
육 1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
19.2%
설 5
19.2%
근 3
11.5%
린 3
11.5%
생 3
11.5%
활 3
11.5%
문 1
 
3.8%
화 1
 
3.8%
체 1
 
3.8%
육 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
19.2%
설 5
19.2%
근 3
11.5%
린 3
11.5%
생 3
11.5%
활 3
11.5%
문 1
 
3.8%
화 1
 
3.8%
체 1
 
3.8%
육 1
 
3.8%

지상층수
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
9 
0
7 
1
2 
2
2 
3
1 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row3

Common Values

ValueCountFrequency (%)
<NA> 9
42.9%
0 7
33.3%
1 2
 
9.5%
2 2
 
9.5%
3 1
 
4.8%

Length

2023-12-11T06:23:20.645546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:20.775142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
42.9%
0 7
33.3%
1 2
 
9.5%
2 2
 
9.5%
3 1
 
4.8%

지하층수
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
10 
0
8 
1
2 
2
 
1

Length

Max length4
Median length1
Mean length2.4285714
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row1

Common Values

ValueCountFrequency (%)
<NA> 10
47.6%
0 8
38.1%
1 2
 
9.5%
2 1
 
4.8%

Length

2023-12-11T06:23:20.899372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:21.029612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
47.6%
0 8
38.1%
1 2
 
9.5%
2 1
 
4.8%

객실수
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
9 
0
8 
7
1 
24
1 
112
1 

Length

Max length4
Median length3
Mean length2.4761905
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row0
5th row7

Common Values

ValueCountFrequency (%)
<NA> 9
42.9%
0 8
38.1%
7 1
 
4.8%
24 1
 
4.8%
112 1
 
4.8%
32 1
 
4.8%

Length

2023-12-11T06:23:21.180678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:21.309114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
42.9%
0 8
38.1%
7 1
 
4.8%
24 1
 
4.8%
112 1
 
4.8%
32 1
 
4.8%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean3141.6923
Minimum0
Maximum15220
Zeros8
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:21.431712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35366
95-th percentile11317
Maximum15220
Range15220
Interquartile range (IQR)5366

Descriptive statistics

Standard deviation4804.661
Coefficient of variation (CV)1.5293226
Kurtosis2.0872926
Mean3141.6923
Median Absolute Deviation (MAD)0
Skewness1.5564434
Sum40842
Variance23084767
MonotonicityNot monotonic
2023-12-11T06:23:21.539572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8
38.1%
4689 1
 
4.8%
8715 1
 
4.8%
5366 1
 
4.8%
15220 1
 
4.8%
6852 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
0 8
38.1%
4689 1
 
4.8%
5366 1
 
4.8%
6852 1
 
4.8%
8715 1
 
4.8%
15220 1
 
4.8%
ValueCountFrequency (%)
15220 1
 
4.8%
8715 1
 
4.8%
6852 1
 
4.8%
5366 1
 
4.8%
4689 1
 
4.8%
0 8
38.1%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:21.686309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:21.803734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

선박척수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:21.905370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:22.018140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

무대면적
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:22.155717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:22.266606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

좌석수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:22.388738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:22.512486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

회의실동시수용인원
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:22.630326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:22.747214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)86.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean233647.54
Minimum0
Maximum1951328
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:22.844295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14047.585
median15220
Q365449.5
95-th percentile1445725
Maximum1951328
Range1951328
Interquartile range (IQR)61401.915

Descriptive statistics

Standard deviation568212.35
Coefficient of variation (CV)2.4319209
Kurtosis6.4714059
Mean233647.54
Median Absolute Deviation (MAD)15220
Skewness2.6633932
Sum3504713.2
Variance3.2286527 × 1011
MonotonicityNot monotonic
2023-12-11T06:23:22.964314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 3
14.3%
4450.17 1
 
4.8%
40974.0 1
 
4.8%
5196.0 1
 
4.8%
89925.0 1
 
4.8%
1229038.0 1
 
4.8%
24391.0 1
 
4.8%
1951328.0 1
 
4.8%
3645.0 1
 
4.8%
92572.0 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 6
28.6%
ValueCountFrequency (%)
0.0 3
14.3%
3645.0 1
 
4.8%
4450.17 1
 
4.8%
5196.0 1
 
4.8%
9957.0 1
 
4.8%
15220.0 1
 
4.8%
24391.0 1
 
4.8%
38017.0 1
 
4.8%
40974.0 1
 
4.8%
89925.0 1
 
4.8%
ValueCountFrequency (%)
1951328.0 1
4.8%
1229038.0 1
4.8%
92572.0 1
4.8%
89925.0 1
4.8%
40974.0 1
4.8%
38017.0 1
4.8%
24391.0 1
4.8%
15220.0 1
4.8%
9957.0 1
4.8%
5196.0 1
4.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
0
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
0 10
47.6%

Length

2023-12-11T06:23:23.084186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:23.192787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
0 10
47.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)50.0%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3.0790594 × 109
Minimum0
Maximum2.5620001 × 1010
Zeros8
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:23.298724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.9649024 × 108
95-th percentile1.8977 × 1010
Maximum2.5620001 × 1010
Range2.5620001 × 1010
Interquartile range (IQR)3.9649024 × 108

Descriptive statistics

Standard deviation7.6621277 × 109
Coefficient of variation (CV)2.4884638
Kurtosis6.1768208
Mean3.0790594 × 109
Median Absolute Deviation (MAD)0
Skewness2.5962708
Sum4.3106831 × 1010
Variance5.8708201 × 1019
MonotonicityNot monotonic
2023-12-11T06:23:23.411547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
38.1%
25620000800 1
 
4.8%
85960978 1
 
4.8%
40869560 1
 
4.8%
15400000000 1
 
4.8%
1460000000 1
 
4.8%
500000000 1
 
4.8%
(Missing) 7
33.3%
ValueCountFrequency (%)
0 8
38.1%
40869560 1
 
4.8%
85960978 1
 
4.8%
500000000 1
 
4.8%
1460000000 1
 
4.8%
15400000000 1
 
4.8%
25620000800 1
 
4.8%
ValueCountFrequency (%)
25620000800 1
 
4.8%
15400000000 1
 
4.8%
1460000000 1
 
4.8%
500000000 1
 
4.8%
85960978 1
 
4.8%
40869560 1
 
4.8%
0 8
38.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)86.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean233647.53
Minimum0
Maximum1951328
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T06:23:23.520046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14047.5
median15220
Q365449.5
95-th percentile1445725
Maximum1951328
Range1951328
Interquartile range (IQR)61402

Descriptive statistics

Standard deviation568212.35
Coefficient of variation (CV)2.431921
Kurtosis6.4714059
Mean233647.53
Median Absolute Deviation (MAD)15220
Skewness2.6633932
Sum3504713
Variance3.2286528 × 1011
MonotonicityNot monotonic
2023-12-11T06:23:23.667033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 3
14.3%
4450 1
 
4.8%
40974 1
 
4.8%
5196 1
 
4.8%
89925 1
 
4.8%
1229038 1
 
4.8%
24391 1
 
4.8%
1951328 1
 
4.8%
3645 1
 
4.8%
92572 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 6
28.6%
ValueCountFrequency (%)
0 3
14.3%
3645 1
 
4.8%
4450 1
 
4.8%
5196 1
 
4.8%
9957 1
 
4.8%
15220 1
 
4.8%
24391 1
 
4.8%
38017 1
 
4.8%
40974 1
 
4.8%
89925 1
 
4.8%
ValueCountFrequency (%)
1951328 1
4.8%
1229038 1
4.8%
92572 1
4.8%
89925 1
4.8%
40974 1
4.8%
38017 1
4.8%
24391 1
4.8%
15220 1
4.8%
9957 1
4.8%
5196 1
4.8%

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
0가평군국립유명산자연휴양림영업중2023-05-08경기도 가평군 설악면 유명산길 79-53, 유명산자연휴양림경기도 가평군 설악면 가일리 산 35 유명산자연휴양림12473031-589-548737.592936127.491063<NA><NA><NA><NA><NA><NA><NA>244313.698652453790.678435전문휴양업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>04450.17<NA>0<NA><NA><NA><NA><NA><NA>25620000800<NA><NA><NA>4450
1과천시(주) 서울랜드영업중20031030경기도 과천시 광명로 181 (막계동)경기도 과천시 막계동13829<NA>37.437137127.024633<NA><NA><NA><NA><NA><NA><NA>202115.873649437231.710601전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2구리시빅팜컴퍼니영업중20120312경기도 구리시 아치울길 129 (아천동)경기도 구리시 아천동 380-25번지11956070-8821-503437.575532127.115043<NA><NA><NA><NA><NA><NA><NA>210098.07282452596.767911전문휴양업<NA>주거지역1주택가주변<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85960978<NA><NA><NA><NA>
3안산시(주)유리섬영업중2013-12-11경기도 안산시 단원구 부흥로 254 (대부남동)경기도 안산시 단원구 대부남동 3-1315650032-885-626237.219789126.602393<NA><NA><NA><NA><NA><NA><NA>164602.609308413266.170064전문휴양업<NA><NA>0<NA><NA><NA><NA>0004689<NA><NA>00<NA>00<NA>040974.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>40974
4안산시종이미술관영업중20151224경기도 안산시 단원구 대남로 233 (대부남동)경기도 안산시 단원구 대부남동 460-13415649032 887 060637.224143126.576732<NA><NA><NA><NA><NA><NA><NA>162331.251675413701.582835전문휴양업<NA><NA>3<NA><NA><NA>문화시설3170<NA><NA>00<NA>00<NA>05196.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>5196
5안성시(주) 안성내츄럴리조트영업중20200826경기도 안성시 죽산면 죽양대로 136-16, 안성내츄럴리조트경기도 안성시 죽산면 매산리 253-1 안성내츄럴리조트17518<NA>37.093558127.436951<NA><NA><NA><NA><NA><NA><NA>238752.709301399109.901042전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6양주시국립아세안자연휴양림영업중2022-12-06경기도 양주시 백석읍 기산로 472경기도 양주시 백석읍 기산리 산 103-111518031-871-279637.77383126.942172<NA><NA><NA><NA><NA><NA><NA>194819.616299473707.085647전문휴양업<NA><NA>0<NA><NA><NA><NA>20240<NA><NA>00<NA>00<NA>089925.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>89925
7양평군국립산음자연휴양림영업중2023-03-23경기도 양평군 단월면 고북길 347, 국립산음자연휴양림경기도 양평군 단월면 산음리 산 124 국립산음자연휴양림12527<NA>37.596139127.575207<NA><NA><NA><NA><NA><NA><NA>251006.805899455960.263366전문휴양업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
8여주시(주)아리지영업중20111101경기도 여주시 가남읍 아리지그린길 68경기도 여주시 가남읍 안금리 산 10312656031-887-561237.211608127.602222<NA><NA><NA><NA><NA><NA><NA>252780.815093412615.746328전문휴양업<NA><NA><NA>기타<NA><NA>체육시설<NA><NA><NA>8715<NA><NA><NA><NA><NA><NA><NA><NA><NA>1229038.0<NA><NA><NA><NA><NA><NA><NA><NA>40869560<NA><NA><NA>1229038
9용인시코리아골프빌리지폐업20151223경기도 용인시 기흥구 기흥단지로 398 (고매동)경기도 용인시 기흥구 고매동 5-48번지17087031-286-811137.217773127.137326<NA>20160310<NA><NA><NA><NA><NA>212122.005439412894.154254전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA>112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24391.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24391
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
11이천시(주)이천설봉온천영업중2019-12-30경기도 이천시 애련정로 67-16 (주)이천설봉온천 (안흥동)경기도 이천시 안흥동 317-2 (주)이천설봉온천17372031631055437.276832127.451473<NA><NA><NA><NA><NA><NA><NA>239991.447046419516.980944전문휴양업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>03645.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>3645
12이천시덕평공룡수목원영업중2016-05-30경기도 이천시 마장면 작촌로 282경기도 이천시 마장면 작촌리 10317388031 633 502937.232317127.337224<NA><NA><NA><NA><NA><NA><NA>229882.840984414384.405711전문휴양업<NA><NA>0<NA><NA><NA><NA>0005366<NA><NA>00<NA>00<NA>092572.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>92572
13이천시테르메덴영업중2006-02-17경기도 이천시 모가면 사실로 984경기도 이천시 모가면 신갈리 36017406031-645-200037.194729127.445949<NA><NA><NA><NA><NA><NA><NA>239553.261443410352.407905전문휴양업관광사업관리지역3기타<NA><NA>근린생활시설2100<NA><NA>00<NA>00<NA>09957.0<NA>0<NA><NA><NA><NA><NA><NA>1460000000<NA><NA><NA>9957
14파주시퍼스트 가든영업중20170224경기도 파주시 탑삭골길 260 (상지석동)경기도 파주시 상지석동 1021-210911031-957-227837.732283126.793171<NA><NA><NA><NA><NA><NA><NA>181727.511035469875.943819전문휴양업<NA>관리지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38017.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38017
15포천시국립운악산자연휴양림영업중2022-12-20경기도 포천시 화현면 화동로184번길 39경기도 포천시 화현면 화현리 산 190-19111123<NA>37.883114127.306497<NA><NA><NA><NA><NA><NA><NA>226944.386312486666.478128전문휴양업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
16포천시주식회사 신북리조트영업중20131224경기도 포천시 신북면 청신로 571경기도 포천시 신북면 덕둔리 635-3번지11137031-536-441037.973511127.103365<NA><NA><NA><NA><NA><NA><NA>209094.044201496849.358734전문휴양업<NA>관리지역1기타<NA><NA>근린생활시설123215220<NA><NA><NA><NA><NA><NA><NA><NA><NA>15220.0<NA><NA><NA><NA><NA><NA><NA><NA>500000000<NA><NA><NA>15220
17포천시포레스트힐cc영업중20201222경기도 포천시 화현면 봉화로 253, 포레스트힐 C.C경기도 포천시 화현면 명덕리 178-1 포레스트힐 C.C11125<NA>37.873109127.275982<NA><NA><NA><NA><NA><NA><NA>224247.037501485608.854271전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18포천시허브아일랜드영업중20210506경기도 포천시 신북면 청신로947번길 35경기도 포천시 신북면 삼정리 517-211137031-535-649537.965922127.131709<NA><NA><NA><NA><NA><NA><NA>211501.230277495861.162165전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19화성시율암온천영업중20180226경기도 화성시 팔탄면 온천로 434-14경기도 화성시 팔탄면 율암리 842-8 일원185300318059279737.15209126.882245<NA><NA><NA><NA><NA><NA><NA>189471.679557405584.56141전문휴양업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20<NA>국립중미산자연휴양림영업중2023-03-23대전광역시 서구 복수북로 21, 국립자연휴양림관리소 (복수동)대전광역시 서구 복수동 292-2 국립자연휴양림관리소35403<NA>36.308175127.372315<NA><NA><NA><NA><NA><NA><NA>233412.13253311968.292531전문휴양업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0