Overview

Dataset statistics

Number of variables60
Number of observations36
Missing cells984
Missing cells (%)45.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory527.7 B

Variable types

Numeric7
Categorical21
DateTime3
Unsupported23
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16048/S/1/datasetView.do

Alerts

건물용도명 has constant value ""Constant
지역구분명 is highly imbalanced (54.8%)Imbalance
총층수 is highly imbalanced (52.2%)Imbalance
지상층수 is highly imbalanced (52.2%)Imbalance
건축연면적 is highly imbalanced (52.2%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 15 (41.7%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
전화번호 has 10 (27.8%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
소재지우편번호 has 24 (66.7%) missing valuesMissing
도로명주소 has 9 (25.0%) missing valuesMissing
도로명우편번호 has 9 (25.0%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
좌표정보(X) has 3 (8.3%) missing valuesMissing
좌표정보(Y) has 3 (8.3%) missing valuesMissing
문화사업자구분명 has 36 (100.0%) missing valuesMissing
제작취급품목내용 has 36 (100.0%) missing valuesMissing
보험기관명 has 36 (100.0%) missing valuesMissing
건물용도명 has 35 (97.2%) missing valuesMissing
영문상호명 has 36 (100.0%) missing valuesMissing
영문상호주소 has 36 (100.0%) missing valuesMissing
선박제원 has 36 (100.0%) missing valuesMissing
기념품종류 has 36 (100.0%) missing valuesMissing
시설면적 has 24 (66.7%) missing valuesMissing
놀이기구수내역 has 36 (100.0%) missing valuesMissing
방송시설유무 has 36 (100.0%) missing valuesMissing
발전시설유무 has 36 (100.0%) missing valuesMissing
의무실유무 has 36 (100.0%) missing valuesMissing
안내소유무 has 36 (100.0%) missing valuesMissing
기획여행보험시작일자 has 36 (100.0%) missing valuesMissing
기획여행보험종료일자 has 36 (100.0%) missing valuesMissing
보험시작일자 has 36 (100.0%) missing valuesMissing
보험종료일자 has 36 (100.0%) missing valuesMissing
부대시설내역 has 36 (100.0%) missing valuesMissing
시설규모 has 24 (66.7%) missing valuesMissing
최종수정일자 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
문화사업자구분명 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
시설면적 has 4 (11.1%) zerosZeros
시설규모 has 4 (11.1%) zerosZeros

Reproduction

Analysis started2024-05-11 02:46:21.772315
Analysis finished2024-05-11 02:46:22.974255
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3145277.8
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:23.139350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3037500
Q13087500
median3170000
Q33210000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)122500

Descriptive statistics

Standard deviation72525.31
Coefficient of variation (CV)0.023058475
Kurtosis-1.1927796
Mean3145277.8
Median Absolute Deviation (MAD)50000
Skewness-0.4708319
Sum1.1323 × 108
Variance5.2599206 × 109
MonotonicityNot monotonic
2024-05-11T02:46:23.598586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3210000 9
25.0%
3040000 5
13.9%
3180000 4
11.1%
3110000 3
 
8.3%
3230000 3
 
8.3%
3130000 2
 
5.6%
3080000 2
 
5.6%
3160000 2
 
5.6%
3030000 1
 
2.8%
3090000 1
 
2.8%
Other values (4) 4
11.1%
ValueCountFrequency (%)
3000000 1
 
2.8%
3030000 1
 
2.8%
3040000 5
13.9%
3080000 2
 
5.6%
3090000 1
 
2.8%
3100000 1
 
2.8%
3110000 3
8.3%
3130000 2
 
5.6%
3160000 2
 
5.6%
3180000 4
11.1%
ValueCountFrequency (%)
3240000 1
 
2.8%
3230000 3
 
8.3%
3210000 9
25.0%
3200000 1
 
2.8%
3180000 4
11.1%
3160000 2
 
5.6%
3130000 2
 
5.6%
3110000 3
 
8.3%
3100000 1
 
2.8%
3090000 1
 
2.8%

관리번호
Categorical

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
CDFI2262132015000001
10 
CDFI2262132016000001
5 
CDFI2262132015000002
3 
CDFI2262132017000001
3 
CDFI2262132023000001
2 
Other values (9)
13 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique5 ?
Unique (%)13.9%

Sample

1st rowCDFI2262132015000001
2nd rowCDFI2262132016000001
3rd rowCDFI2262132023000002
4th rowCDFI2262132024000001
5th rowCDFI2262132023000001

Common Values

ValueCountFrequency (%)
CDFI2262132015000001 10
27.8%
CDFI2262132016000001 5
13.9%
CDFI2262132015000002 3
 
8.3%
CDFI2262132017000001 3
 
8.3%
CDFI2262132023000001 2
 
5.6%
CDFI2262132018000001 2
 
5.6%
CDFI2262132021000001 2
 
5.6%
CDFI2262132020000001 2
 
5.6%
CDFI2262132022000001 2
 
5.6%
CDFI2262132023000002 1
 
2.8%
Other values (4) 4
 
11.1%

Length

2024-05-11T02:46:24.117383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi2262132015000001 10
27.8%
cdfi2262132016000001 5
13.9%
cdfi2262132015000002 3
 
8.3%
cdfi2262132017000001 3
 
8.3%
cdfi2262132023000001 2
 
5.6%
cdfi2262132018000001 2
 
5.6%
cdfi2262132021000001 2
 
5.6%
cdfi2262132020000001 2
 
5.6%
cdfi2262132022000001 2
 
5.6%
cdfi2262132023000002 1
 
2.8%
Other values (4) 4
 
11.1%

인허가일자
Date

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2015-05-04 00:00:00
Maximum2024-01-09 00:00:00
2024-05-11T02:46:24.518518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:46:24.993074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
21 
1
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 21
58.3%
1 15
41.7%

Length

2024-05-11T02:46:25.501194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:26.117807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
58.3%
1 15
41.7%

영업상태명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
21 
영업/정상
15 

Length

Max length5
Median length2
Mean length3.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 21
58.3%
영업/정상 15
41.7%

Length

2024-05-11T02:46:26.770373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:27.133083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
58.3%
영업/정상 15
41.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
21 
13
15 

Length

Max length2
Median length1
Mean length1.4166667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
58.3%
13 15
41.7%

Length

2024-05-11T02:46:27.561318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:27.962553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
58.3%
13 15
41.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
21 
영업중
15 

Length

Max length3
Median length2
Mean length2.4166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
58.3%
영업중 15
41.7%

Length

2024-05-11T02:46:28.602431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:29.098250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
58.3%
영업중 15
41.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)85.7%
Missing15
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean20165639
Minimum20150823
Maximum20220728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:29.638802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150823
5-th percentile20150930
Q120151007
median20160928
Q320171130
95-th percentile20180903
Maximum20220728
Range69905
Interquartile range (IQR)20123

Descriptive statistics

Standard deviation16819.696
Coefficient of variation (CV)0.00083407702
Kurtosis4.7113435
Mean20165639
Median Absolute Deviation (MAD)9927
Skewness1.8396569
Sum4.2347842 × 108
Variance2.8290218 × 108
MonotonicityNot monotonic
2024-05-11T02:46:30.239846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20160928 3
 
8.3%
20151001 2
 
5.6%
20180827 1
 
2.8%
20151006 1
 
2.8%
20170820 1
 
2.8%
20160829 1
 
2.8%
20151106 1
 
2.8%
20220728 1
 
2.8%
20150930 1
 
2.8%
20151007 1
 
2.8%
Other values (8) 8
22.2%
(Missing) 15
41.7%
ValueCountFrequency (%)
20150823 1
 
2.8%
20150930 1
 
2.8%
20151001 2
5.6%
20151006 1
 
2.8%
20151007 1
 
2.8%
20151106 1
 
2.8%
20160601 1
 
2.8%
20160829 1
 
2.8%
20160928 3
8.3%
20161103 1
 
2.8%
ValueCountFrequency (%)
20220728 1
 
2.8%
20180903 1
 
2.8%
20180827 1
 
2.8%
20180502 1
 
2.8%
20180208 1
 
2.8%
20171130 1
 
2.8%
20171108 1
 
2.8%
20170820 1
 
2.8%
20161103 1
 
2.8%
20160928 3
8.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)80.8%
Missing10
Missing (%)27.8%
Memory size420.0 B
2024-05-11T02:46:30.710448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.230769
Min length8

Characters and Unicode

Total characters292
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)69.2%

Sample

1st row02-350-5233
2nd row02-3780-0871
3rd row070 40665975
4th row024509327
5th row070 40665975
ValueCountFrequency (%)
02 7
17.5%
69598455 4
 
10.0%
070 3
 
7.5%
40665975 3
 
7.5%
578 2
 
5.0%
7089 2
 
5.0%
0002 1
 
2.5%
02-879-6524 1
 
2.5%
02-478-4079 1
 
2.5%
02)2066-7004 1
 
2.5%
Other values (15) 15
37.5%
2024-05-11T02:46:31.738033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
18.5%
5 35
12.0%
2 30
10.3%
9 28
9.6%
6 26
8.9%
7 24
8.2%
22
7.5%
4 22
7.5%
8 16
 
5.5%
- 15
 
5.1%
Other values (3) 20
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
87.0%
Space Separator 22
 
7.5%
Dash Punctuation 15
 
5.1%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
21.3%
5 35
13.8%
2 30
11.8%
9 28
11.0%
6 26
10.2%
7 24
9.4%
4 22
8.7%
8 16
 
6.3%
3 11
 
4.3%
1 8
 
3.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
18.5%
5 35
12.0%
2 30
10.3%
9 28
9.6%
6 26
8.9%
7 24
8.2%
22
7.5%
4 22
7.5%
8 16
 
5.5%
- 15
 
5.1%
Other values (3) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
18.5%
5 35
12.0%
2 30
10.3%
9 28
9.6%
6 26
8.9%
7 24
8.2%
22
7.5%
4 22
7.5%
8 16
 
5.5%
- 15
 
5.1%
Other values (3) 20
 
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing24
Missing (%)66.7%
Memory size420.0 B
2024-05-11T02:46:32.160869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters76
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

Unique8 ?
Unique (%)66.7%

Sample

1st row133-825
2nd row121-270
3rd row143193
4th row137030
5th row139052
ValueCountFrequency (%)
121-270 2
16.7%
137132 2
16.7%
133-825 1
8.3%
143193 1
8.3%
137030 1
8.3%
139052 1
8.3%
150010 1
8.3%
152130 1
8.3%
138889 1
8.3%
134-882 1
8.3%
2024-05-11T02:46:33.052036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 19
25.0%
3 14
18.4%
2 10
13.2%
0 9
11.8%
8 6
 
7.9%
7 5
 
6.6%
- 4
 
5.3%
5 4
 
5.3%
9 3
 
3.9%
4 2
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
94.7%
Dash Punctuation 4
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
26.4%
3 14
19.4%
2 10
13.9%
0 9
12.5%
8 6
 
8.3%
7 5
 
6.9%
5 4
 
5.6%
9 3
 
4.2%
4 2
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 19
25.0%
3 14
18.4%
2 10
13.2%
0 9
11.8%
8 6
 
7.9%
7 5
 
6.6%
- 4
 
5.3%
5 4
 
5.3%
9 3
 
3.9%
4 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 19
25.0%
3 14
18.4%
2 10
13.2%
0 9
11.8%
8 6
 
7.9%
7 5
 
6.6%
- 4
 
5.3%
5 4
 
5.3%
9 3
 
3.9%
4 2
 
2.6%

지번주소
Text

Distinct30
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T02:46:33.578001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27.5
Mean length21.722222
Min length17

Characters and Unicode

Total characters782
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)72.2%

Sample

1st row서울특별시 성동구 성수동1가 643
2nd row서울특별시 은평구 진관동 330-14 북한산글램핑장
3rd row서울특별시 은평구 진관동 83-6 은평환경플랜트
4th row서울특별시 송파구 가락동 189
5th row서울특별시 서초구 신원동 168
ValueCountFrequency (%)
서울특별시 36
23.1%
서초구 9
 
5.8%
광진구 5
 
3.2%
여의도동 4
 
2.6%
잠원동 4
 
2.6%
자양동 4
 
2.6%
영등포구 4
 
2.6%
83-6번지 3
 
1.9%
121번지 3
 
1.9%
송파구 3
 
1.9%
Other values (67) 81
51.9%
2024-05-11T02:46:34.879238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
18.2%
서 45
 
5.8%
동 38
 
4.9%
구 38
 
4.9%
시 36
 
4.6%
별 36
 
4.6%
울 36
 
4.6%
특 36
 
4.6%
1 32
 
4.1%
지 22
 
2.8%
Other values (84) 321
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
62.8%
Space Separator 142
 
18.2%
Decimal Number 127
 
16.2%
Dash Punctuation 22
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
 
9.2%
동 38
 
7.7%
구 38
 
7.7%
시 36
 
7.3%
별 36
 
7.3%
울 36
 
7.3%
특 36
 
7.3%
지 22
 
4.5%
번 21
 
4.3%
초 9
 
1.8%
Other values (72) 174
35.4%
Decimal Number
ValueCountFrequency (%)
1 32
25.2%
3 17
13.4%
2 15
11.8%
4 13
10.2%
8 13
10.2%
6 10
 
7.9%
0 7
 
5.5%
9 7
 
5.5%
5 7
 
5.5%
7 6
 
4.7%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
62.8%
Common 291
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
 
9.2%
동 38
 
7.7%
구 38
 
7.7%
시 36
 
7.3%
별 36
 
7.3%
울 36
 
7.3%
특 36
 
7.3%
지 22
 
4.5%
번 21
 
4.3%
초 9
 
1.8%
Other values (72) 174
35.4%
Common
ValueCountFrequency (%)
142
48.8%
1 32
 
11.0%
- 22
 
7.6%
3 17
 
5.8%
2 15
 
5.2%
4 13
 
4.5%
8 13
 
4.5%
6 10
 
3.4%
0 7
 
2.4%
9 7
 
2.4%
Other values (2) 13
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
62.8%
ASCII 291
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
48.8%
1 32
 
11.0%
- 22
 
7.6%
3 17
 
5.8%
2 15
 
5.2%
4 13
 
4.5%
8 13
 
4.5%
6 10
 
3.4%
0 7
 
2.4%
9 7
 
2.4%
Other values (2) 13
 
4.5%
Hangul
ValueCountFrequency (%)
서 45
 
9.2%
동 38
 
7.7%
구 38
 
7.7%
시 36
 
7.3%
별 36
 
7.3%
울 36
 
7.3%
특 36
 
7.3%
지 22
 
4.5%
번 21
 
4.3%
초 9
 
1.8%
Other values (72) 174
35.4%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)88.9%
Missing9
Missing (%)25.0%
Memory size420.0 B
2024-05-11T02:46:35.526253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length29.481481
Min length22

Characters and Unicode

Total characters796
Distinct characters113
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row서울특별시 성동구 뚝섬로 273 (성수동1가)
2nd row서울특별시 은평구 북한산로 232-1, 북한산글램핑장 (진관동)
3rd row서울특별시 은평구 통일로 1053 (진관동)
4th row서울특별시 송파구 오금로46길 41, 2176호 (가락동)
5th row서울특별시 서초구 청계산로15길 4 (신원동)
ValueCountFrequency (%)
서울특별시 27
 
17.8%
서초구 9
 
5.9%
잠원로 4
 
2.6%
221-124 4
 
2.6%
잠원동 4
 
2.6%
여의서로 3
 
2.0%
62 3
 
2.0%
여의도동 3
 
2.0%
양재동 3
 
2.0%
은평구 3
 
2.0%
Other values (76) 89
58.6%
2024-05-11T02:46:36.788443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
15.7%
서 40
 
5.0%
동 31
 
3.9%
구 30
 
3.8%
2 30
 
3.8%
로 29
 
3.6%
시 28
 
3.5%
울 27
 
3.4%
( 27
 
3.4%
) 27
 
3.4%
Other values (103) 402
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 482
60.6%
Space Separator 125
 
15.7%
Decimal Number 114
 
14.3%
Open Punctuation 27
 
3.4%
Close Punctuation 27
 
3.4%
Other Punctuation 12
 
1.5%
Dash Punctuation 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
 
8.3%
동 31
 
6.4%
구 30
 
6.2%
로 29
 
6.0%
시 28
 
5.8%
울 27
 
5.6%
특 27
 
5.6%
별 27
 
5.6%
원 21
 
4.4%
잠 13
 
2.7%
Other values (88) 209
43.4%
Decimal Number
ValueCountFrequency (%)
2 30
26.3%
1 26
22.8%
4 13
11.4%
6 12
 
10.5%
9 9
 
7.9%
0 7
 
6.1%
8 6
 
5.3%
7 4
 
3.5%
5 4
 
3.5%
3 3
 
2.6%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
60.6%
Common 314
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
 
8.3%
동 31
 
6.4%
구 30
 
6.2%
로 29
 
6.0%
시 28
 
5.8%
울 27
 
5.6%
특 27
 
5.6%
별 27
 
5.6%
원 21
 
4.4%
잠 13
 
2.7%
Other values (88) 209
43.4%
Common
ValueCountFrequency (%)
125
39.8%
2 30
 
9.6%
( 27
 
8.6%
) 27
 
8.6%
1 26
 
8.3%
4 13
 
4.1%
6 12
 
3.8%
, 12
 
3.8%
- 9
 
2.9%
9 9
 
2.9%
Other values (5) 24
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
60.6%
ASCII 314
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
39.8%
2 30
 
9.6%
( 27
 
8.6%
) 27
 
8.6%
1 26
 
8.3%
4 13
 
4.1%
6 12
 
3.8%
, 12
 
3.8%
- 9
 
2.9%
9 9
 
2.9%
Other values (5) 24
 
7.6%
Hangul
ValueCountFrequency (%)
서 40
 
8.3%
동 31
 
6.4%
구 30
 
6.2%
로 29
 
6.0%
시 28
 
5.8%
울 27
 
5.6%
특 27
 
5.6%
별 27
 
5.6%
원 21
 
4.4%
잠 13
 
2.7%
Other values (88) 209
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)70.4%
Missing9
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean5238.6667
Minimum1000
Maximum8368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:37.180292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1478.9
Q13606
median5782
Q36773
95-th percentile7240
Maximum8368
Range7368
Interquartile range (IQR)3167

Descriptive statistics

Standard deviation2010.5956
Coefficient of variation (CV)0.38379911
Kurtosis-0.58371784
Mean5238.6667
Median Absolute Deviation (MAD)1023
Skewness-0.66443731
Sum141444
Variance4042494.8
MonotonicityNot monotonic
2024-05-11T02:46:37.649889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6513 4
11.1%
7240 3
 
8.3%
6773 2
 
5.6%
3900 2
 
5.6%
3308 2
 
5.6%
3073 1
 
2.8%
5357 1
 
2.8%
8368 1
 
2.8%
6805 1
 
2.8%
5502 1
 
2.8%
Other values (9) 9
25.0%
(Missing) 9
25.0%
ValueCountFrequency (%)
1000 1
2.8%
1313 1
2.8%
1866 1
2.8%
3073 1
2.8%
3308 2
5.6%
3312 1
2.8%
3900 2
5.6%
4770 1
2.8%
4991 1
2.8%
5357 1
2.8%
ValueCountFrequency (%)
8368 1
 
2.8%
7240 3
8.3%
6805 1
 
2.8%
6802 1
 
2.8%
6773 2
5.6%
6769 1
 
2.8%
6513 4
11.1%
5782 1
 
2.8%
5502 1
 
2.8%
5357 1
 
2.8%

사업장명
Text

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T02:46:38.140361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length10.25
Min length5

Characters and Unicode

Total characters369
Distinct characters103
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

Unique28 ?
Unique (%)77.8%

Sample

1st row성동 서울숲 여름캠핑장
2nd row북한산 캠핑장
3rd row앵봉산 가족캠핑장
4th row행복여행사
5th row서초바글(바베큐글램핑)
ValueCountFrequency (%)
가족캠핑장 5
 
8.1%
주)한캠프 4
 
6.5%
임시캠핑장 4
 
6.5%
캠핑장 4
 
6.5%
주)엘아이커뮤니케이션즈 2
 
3.2%
시민의숲 2
 
3.2%
북한산 2
 
3.2%
청계산장 1
 
1.6%
잠원캠핑장 1
 
1.6%
2017년 1
 
1.6%
Other values (36) 36
58.1%
2024-05-11T02:46:39.381265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
캠 28
 
7.6%
26
 
7.0%
장 25
 
6.8%
핑 25
 
6.8%
( 14
 
3.8%
) 14
 
3.8%
한 13
 
3.5%
원 9
 
2.4%
여 9
 
2.4%
주 8
 
2.2%
Other values (93) 198
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
81.8%
Space Separator 26
 
7.0%
Open Punctuation 14
 
3.8%
Close Punctuation 14
 
3.8%
Decimal Number 12
 
3.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캠 28
 
9.3%
장 25
 
8.3%
핑 25
 
8.3%
한 13
 
4.3%
원 9
 
3.0%
여 9
 
3.0%
주 8
 
2.6%
산 7
 
2.3%
강 7
 
2.3%
시 7
 
2.3%
Other values (83) 164
54.3%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
1 3
25.0%
0 3
25.0%
7 1
 
8.3%
6 1
 
8.3%
5 1
 
8.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
81.8%
Common 67
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캠 28
 
9.3%
장 25
 
8.3%
핑 25
 
8.3%
한 13
 
4.3%
원 9
 
3.0%
여 9
 
3.0%
주 8
 
2.6%
산 7
 
2.3%
강 7
 
2.3%
시 7
 
2.3%
Other values (83) 164
54.3%
Common
ValueCountFrequency (%)
26
38.8%
( 14
20.9%
) 14
20.9%
2 3
 
4.5%
1 3
 
4.5%
0 3
 
4.5%
7 1
 
1.5%
6 1
 
1.5%
, 1
 
1.5%
5 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
81.8%
ASCII 67
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
캠 28
 
9.3%
장 25
 
8.3%
핑 25
 
8.3%
한 13
 
4.3%
원 9
 
3.0%
여 9
 
3.0%
주 8
 
2.6%
산 7
 
2.3%
강 7
 
2.3%
시 7
 
2.3%
Other values (83) 164
54.3%
ASCII
ValueCountFrequency (%)
26
38.8%
( 14
20.9%
) 14
20.9%
2 3
 
4.5%
1 3
 
4.5%
0 3
 
4.5%
7 1
 
1.5%
6 1
 
1.5%
, 1
 
1.5%
5 1
 
1.5%

최종수정일자
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2015-09-30 16:28:19
Maximum2024-01-12 14:04:37
2024-05-11T02:46:39.815088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:46:40.273582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
23 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowI
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 23
63.9%
U 13
36.1%

Length

2024-05-11T02:46:40.683635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:41.034314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
63.9%
u 13
36.1%

데이터갱신일자
Date

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-11-26 13:44:42
Maximum2023-11-30 23:04:00
2024-05-11T02:46:41.239402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:46:41.625393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing3
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean200908.46
Minimum185004.52
Maximum213480.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:42.004662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185004.52
5-th percentile188771.61
Q1194522.09
median202682.15
Q3206230.83
95-th percentile211776.46
Maximum213480.12
Range28475.605
Interquartile range (IQR)11708.744

Descriptive statistics

Standard deviation6956.1002
Coefficient of variation (CV)0.034623232
Kurtosis-0.31716436
Mean200908.46
Median Absolute Deviation (MAD)3619.7241
Skewness-0.40861402
Sum6629979.1
Variance48387330
MonotonicityNot monotonic
2024-05-11T02:46:42.366753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
193249.499819026 3
 
8.3%
200753.815592237 3
 
8.3%
203093.373057701 2
 
5.6%
206301.875888322 2
 
5.6%
205229.00565449 1
 
2.8%
188821.616239791 1
 
2.8%
195344.276742664 1
 
2.8%
199743.857385642 1
 
2.8%
213480.124886733 1
 
2.8%
185004.520207159 1
 
2.8%
Other values (17) 17
47.2%
(Missing) 3
 
8.3%
ValueCountFrequency (%)
185004.520207159 1
 
2.8%
188696.594570334 1
 
2.8%
188821.616239791 1
 
2.8%
193249.499819026 3
8.3%
193626.951304553 1
 
2.8%
194453.569951258 1
 
2.8%
194522.089236978 1
 
2.8%
195344.276742664 1
 
2.8%
199743.857385642 1
 
2.8%
200753.815592237 3
8.3%
ValueCountFrequency (%)
213480.124886733 1
2.8%
211840.144507023 1
2.8%
211734.001815154 1
2.8%
207326.867876383 1
2.8%
207280.548175724 1
2.8%
206301.875888322 2
5.6%
206297.741262124 1
2.8%
206230.832828856 1
2.8%
205229.00565449 1
2.8%
204326.575706642 1
2.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing3
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean448073.76
Minimum437873.21
Maximum462561.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:42.740860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437873.21
5-th percentile439382.34
Q1443555.31
median447413.75
Q3449304.55
95-th percentile460703.29
Maximum462561.26
Range24688.05
Interquartile range (IQR)5749.2415

Descriptive statistics

Standard deviation6556.3542
Coefficient of variation (CV)0.01463231
Kurtosis0.06156285
Mean448073.76
Median Absolute Deviation (MAD)3858.4368
Skewness0.73561471
Sum14786434
Variance42985781
MonotonicityNot monotonic
2024-05-11T02:46:43.138467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
447795.437111319 3
 
8.3%
446314.687402426 3
 
8.3%
440988.316143937 2
 
5.6%
447369.114975005 2
 
5.6%
437873.21212835 1
 
2.8%
452533.037920955 1
 
2.8%
439988.694489247 1
 
2.8%
453359.613800074 1
 
2.8%
448217.191043243 1
 
2.8%
441962.871693858 1
 
2.8%
Other values (17) 17
47.2%
(Missing) 3
 
8.3%
ValueCountFrequency (%)
437873.21212835 1
 
2.8%
438472.816944022 1
 
2.8%
439988.694489247 1
 
2.8%
440677.067208734 1
 
2.8%
440988.316143937 2
5.6%
441962.871693858 1
 
2.8%
442558.701396125 1
 
2.8%
443555.311647511 1
 
2.8%
446256.122690837 1
 
2.8%
446314.687402426 3
8.3%
ValueCountFrequency (%)
462561.261924929 1
2.8%
460859.542618718 1
2.8%
460599.129167862 1
2.8%
459998.193364129 1
2.8%
458850.655391668 1
2.8%
453359.613800074 1
2.8%
452533.037920955 1
2.8%
451925.885396731 1
2.8%
449304.553193013 1
2.8%
448820.845852735 1
2.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
일반야영장업
22 
<NA>
14 

Length

Max length6
Median length6
Mean length5.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반야영장업 22
61.1%
<NA> 14
38.9%

Length

2024-05-11T02:46:43.565062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:43.989328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반야영장업 22
61.1%
na 14
38.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
31 
녹지지역
 
3
자연녹지지역
 
2

Length

Max length6
Median length4
Mean length4.1111111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
86.1%
녹지지역 3
 
8.3%
자연녹지지역 2
 
5.6%

Length

2024-05-11T02:46:44.368920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:44.746762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
86.1%
녹지지역 3
 
8.3%
자연녹지지역 2
 
5.6%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
5 
1
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 5
 
13.9%
1 1
 
2.8%

Length

2024-05-11T02:46:45.304660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:45.633152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 5
 
13.9%
1 1
 
2.8%

주변환경명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
32 
기타
4 

Length

Max length4
Median length4
Mean length3.7777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
88.9%
기타 4
 
11.1%

Length

2024-05-11T02:46:46.073874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:46.553261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
88.9%
기타 4
 
11.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing35
Missing (%)97.2%
Memory size420.0 B
2024-05-11T02:46:46.781601image/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%
2024-05-11T02:46:47.355639image/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%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
5 
1
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 5
 
13.9%
1 1
 
2.8%

Length

2024-05-11T02:46:47.739105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:48.122470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 5
 
13.9%
1 1
 
2.8%

지하층수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:48.827170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:49.354142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

객실수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:49.832460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:50.242375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

건축연면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
5 
24954
 
1

Length

Max length5
Median length4
Mean length3.6111111
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 5
 
13.9%
24954 1
 
2.8%

Length

2024-05-11T02:46:50.669487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:51.170257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 5
 
13.9%
24954 1
 
2.8%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:51.685485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:52.170546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

선박척수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:52.558590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:53.052315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

무대면적
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:53.635588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:54.015398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

좌석수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:54.443939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:55.157033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:55.651027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:56.059002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing24
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean6456.9117
Minimum0
Maximum23670
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:56.382807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2828.5
Q314147
95-th percentile18901.5
Maximum23670
Range23670
Interquartile range (IQR)14147

Descriptive statistics

Standard deviation8129.0192
Coefficient of variation (CV)1.258964
Kurtosis-0.090107166
Mean6456.9117
Median Absolute Deviation (MAD)2828.5
Skewness1.0494321
Sum77482.94
Variance66080954
MonotonicityNot monotonic
2024-05-11T02:46:56.768454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 4
 
11.1%
14147.0 2
 
5.6%
15000.0 1
 
2.8%
161.94 1
 
2.8%
4700.0 1
 
2.8%
23670.0 1
 
2.8%
1500.0 1
 
2.8%
4157.0 1
 
2.8%
(Missing) 24
66.7%
ValueCountFrequency (%)
0.0 4
11.1%
161.94 1
 
2.8%
1500.0 1
 
2.8%
4157.0 1
 
2.8%
4700.0 1
 
2.8%
14147.0 2
5.6%
15000.0 1
 
2.8%
23670.0 1
 
2.8%
ValueCountFrequency (%)
23670.0 1
 
2.8%
15000.0 1
 
2.8%
14147.0 2
5.6%
4700.0 1
 
2.8%
4157.0 1
 
2.8%
1500.0 1
 
2.8%
161.94 1
 
2.8%
0.0 4
11.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
0
6 

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
0 6
 
16.7%

Length

2024-05-11T02:46:57.273730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:57.628524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
0 6
 
16.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

자본금
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
28 
0
4 
100000000
3 
10000000
 
1

Length

Max length9
Median length4
Mean length4.1944444
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
77.8%
0 4
 
11.1%
100000000 3
 
8.3%
10000000 1
 
2.8%

Length

2024-05-11T02:46:58.124126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:58.670089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
77.8%
0 4
 
11.1%
100000000 3
 
8.3%
10000000 1
 
2.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing24
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean6456.9167
Minimum0
Maximum23670
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T02:46:58.996910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2828.5
Q314147
95-th percentile18901.5
Maximum23670
Range23670
Interquartile range (IQR)14147

Descriptive statistics

Standard deviation8129.015
Coefficient of variation (CV)1.2589624
Kurtosis-0.09010486
Mean6456.9167
Median Absolute Deviation (MAD)2828.5
Skewness1.049433
Sum77483
Variance66080885
MonotonicityNot monotonic
2024-05-11T02:46:59.454640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4
 
11.1%
14147 2
 
5.6%
15000 1
 
2.8%
162 1
 
2.8%
4700 1
 
2.8%
23670 1
 
2.8%
1500 1
 
2.8%
4157 1
 
2.8%
(Missing) 24
66.7%
ValueCountFrequency (%)
0 4
11.1%
162 1
 
2.8%
1500 1
 
2.8%
4157 1
 
2.8%
4700 1
 
2.8%
14147 2
5.6%
15000 1
 
2.8%
23670 1
 
2.8%
ValueCountFrequency (%)
23670 1
 
2.8%
15000 1
 
2.8%
14147 2
5.6%
4700 1
 
2.8%
4157 1
 
2.8%
1500 1
 
2.8%
162 1
 
2.8%
0 4
11.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03030000CDFI22621320150000012015-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133-825서울특별시 성동구 성수동1가 643서울특별시 성동구 뚝섬로 273 (성수동1가)4770성동 서울숲 여름캠핑장2023-07-25 14:51:35U2022-12-06 22:07:00.0<NA>203672.179137448820.845853<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><NA>
13110000CDFI22621320160000012016-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 330-14 북한산글램핑장서울특별시 은평구 북한산로 232-1, 북한산글램핑장 (진관동)3308북한산 캠핑장2023-08-01 08:04:54U2022-12-08 00:03:00.0<NA>194453.569951460859.542619<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><NA>
23110000CDFI22621320230000022023-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-350-5233<NA><NA>서울특별시 은평구 진관동 83-6 은평환경플랜트서울특별시 은평구 통일로 1053 (진관동)3312앵봉산 가족캠핑장2023-10-19 15:17:40I2022-10-30 22:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFI22621320240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 189서울특별시 송파구 오금로46길 41, 2176호 (가락동)5782행복여행사2024-01-10 14:27:11I2023-11-30 23:02:00.0<NA>211734.001815443555.311648<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><NA>
43210000CDFI22621320230000012023-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 신원동 168서울특별시 서초구 청계산로15길 4 (신원동)6802서초바글(바베큐글램핑)2023-08-29 09:27:38U2022-12-07 21:01:00.0<NA>205229.005654437873.212128<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><NA>
53130000CDFI22621320150000022015-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3780-0871<NA>121-270서울특별시 마포구 상암동 495-81서울특별시 마포구 한강난지로 28 (상암동)3900한강공원 난지캠핑장2023-02-02 11:09:26U2022-12-02 00:04:00.0<NA>188696.59457451925.885397<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><NA>
63040000CDFI226213201500000120150721<NA>3폐업3폐업20151007<NA><NA><NA>070 40665975<NA>143193서울특별시 광진구 자양동 427-13번지<NA><NA>(주)엘아이커뮤니케이션즈2015-10-07 17:26:00I2018-11-26 13:44:42.0<NA>206297.741262447413.748435일반야영장업<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>
73040000CDFI226213201500000220150908<NA>3폐업3폐업20160601<NA><NA><NA>024509327<NA><NA>서울특별시 광진구 능동 18-14번지서울특별시 광진구 능동로 216 (능동, 어린이대공원)4991어린이대공원(캠핑체험장)2016-06-01 15:46:33I2018-11-26 13:44:42.0<NA>207326.867876449304.553193일반야영장업<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>
83040000CDFI226213201600000120160713<NA>3폐업3폐업20160928<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 435번지<NA><NA>(주)난지한강여름캠핑장2016-09-28 18:05:41I2018-11-26 13:44:42.0<NA>206301.875888447369.114975일반야영장업<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>
93210000CDFI226213201500000320150720<NA>3폐업3폐업20151001<NA><NA><NA>070 40665975<NA>137030서울특별시 서초구 잠원동 121번지서울특별시 서초구 잠원로 221-124 (잠원동, 잠원한강공원 일대)6513한강여름캠핑장2015-10-01 18:15:13I2018-11-26 13:44:42.0<NA>200753.815592446314.687402일반야영장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14147.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14147
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
263210000CDFI226213201600000120160701<NA>3폐업3폐업20160829<NA><NA><NA>02 578 7089<NA><NA>서울특별시 서초구 양재동 236번지서울특별시 서초구 매헌로 99 (양재동, 양재시민의숲)6773시민의숲 임시캠핑장2016-09-07 15:57:31I2018-11-26 13:44:42.0<NA>203093.373058440988.316144일반야영장업<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>
273210000CDFI226213201600000220160715<NA>3폐업3폐업20160928<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 121번지서울특별시 서초구 잠원로 221-124 (잠원동, 한강공원 잠원지구)6513잠원캠핑장2016-09-28 10:51:05I2018-11-26 13:44:42.0<NA>200753.815592446314.687402일반야영장업<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>
283210000CDFI226213201700000120170711<NA>3폐업3폐업20170820<NA><NA><NA>000269598455<NA><NA>서울특별시 서초구 잠원동 121번지서울특별시 서초구 잠원로 221-124 (잠원동, 한강공원 잠원지구)65132017년 한강여름캠핑장(잠원)2018-04-02 13:30:55I2018-11-26 13:44:42.0<NA>200753.815592446314.687402일반야영장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14147.0<NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>14147
293230000CDFI226213201500000120150723<NA>3폐업3폐업20151006<NA><NA><NA>07040665975<NA>138889서울특별시 송파구 잠실동 1-1번지서울특별시 송파구 한가람로 65 (잠실동)5502(주)엘아이커뮤니케이션즈2015-10-06 18:36:02I2018-11-26 13:44:42.0<NA>207280.548176446256.122691일반야영장업<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>100000000<NA><NA><NA><NA>
303210000CDFI226213202000000120200407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 원지동 207-1서울특별시 서초구 청계산로 140-94 (원지동)6805서울 서초 글램핑 청계산장2022-11-24 17:09:04U2021-10-31 22:06:00.0<NA>204037.305842438472.816944<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><NA>
313160000CDFI22621320200000012020-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02)2066-7004<NA><NA>서울특별시 구로구 항동 149-1서울특별시 구로구 연동로12길 149 (항동)8368천왕산 가족캠핑장2023-12-07 11:01:38U2022-11-02 00:09:00.0<NA>185004.520207441962.871694<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><NA>
323240000CDFI22621320150000012015-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-478-4079<NA>134-882서울특별시 강동구 둔촌동 562-9서울특별시 강동구 천호대로206길 87 (둔촌동)5357강동그린웨이 가족캠핑장2024-01-12 14:04:37U2023-11-30 23:04:00.0<NA>213480.124887448217.191043<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><NA>
333000000CDFI226213202200000120220923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜4가 198-2 한성빌딩서울특별시 종로구 창경궁로 229, 한성빌딩 2층 (명륜4가)3073(주)더술컴퍼니아카데미2022-09-23 09:28:32I2021-12-08 22:05:00.0<NA>199743.857386453359.6138<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><NA>
343200000CDFI226213202200000120220728<NA>1영업/정상13영업중<NA><NA><NA><NA>02-879-6524<NA><NA>서울특별시 관악구 신림동 205-1 관악산공원 내<NA><NA>관악산 계곡 캠핑장2022-12-12 09:28:03U2021-11-01 23:04:00.0<NA>195344.276743439988.694489<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><NA>
353130000CDFI22621320150000012015-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-300-5576<NA>121-270서울특별시 마포구 상암동 478-1서울특별시 마포구 하늘공원로 108-1 (상암동)3900노을공원 가족캠핑장2024-01-08 16:49:43U2023-11-30 23:00:00.0<NA>188821.61624452533.037921<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><NA>