Overview

Dataset statistics

Number of variables60
Number of observations320
Missing cells8399
Missing cells (%)43.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory162.6 KiB
Average record size in memory520.4 B

Variable types

Categorical22
Text6
DateTime5
Unsupported20
Numeric7

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17502/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (66.2%)Imbalance
지역구분명 is highly imbalanced (58.4%)Imbalance
주변환경명 is highly imbalanced (62.5%)Imbalance
지하층수 is highly imbalanced (65.1%)Imbalance
객실수 is highly imbalanced (80.2%)Imbalance
영문상호주소 is highly imbalanced (53.1%)Imbalance
선박총톤수 is highly imbalanced (68.8%)Imbalance
선박척수 is highly imbalanced (68.8%)Imbalance
무대면적 is highly imbalanced (68.8%)Imbalance
좌석수 is highly imbalanced (68.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (68.8%)Imbalance
놀이시설수 is highly imbalanced (68.8%)Imbalance
인허가취소일자 has 320 (100.0%) missing valuesMissing
폐업일자 has 217 (67.8%) missing valuesMissing
휴업시작일자 has 320 (100.0%) missing valuesMissing
휴업종료일자 has 217 (67.8%) missing valuesMissing
재개업일자 has 320 (100.0%) missing valuesMissing
전화번호 has 251 (78.4%) missing valuesMissing
소재지면적 has 320 (100.0%) missing valuesMissing
도로명주소 has 30 (9.4%) missing valuesMissing
도로명우편번호 has 56 (17.5%) missing valuesMissing
업태구분명 has 320 (100.0%) missing valuesMissing
문화사업자구분명 has 320 (100.0%) missing valuesMissing
제작취급품목내용 has 320 (100.0%) missing valuesMissing
보험기관명 has 320 (100.0%) missing valuesMissing
건축연면적 has 298 (93.1%) missing valuesMissing
영문상호명 has 261 (81.6%) missing valuesMissing
선박제원 has 320 (100.0%) missing valuesMissing
기념품종류 has 320 (100.0%) missing valuesMissing
시설면적 has 192 (60.0%) missing valuesMissing
놀이기구수내역 has 320 (100.0%) missing valuesMissing
방송시설유무 has 320 (100.0%) missing valuesMissing
발전시설유무 has 320 (100.0%) missing valuesMissing
의무실유무 has 320 (100.0%) missing valuesMissing
안내소유무 has 320 (100.0%) missing valuesMissing
기획여행보험시작일자 has 320 (100.0%) missing valuesMissing
기획여행보험종료일자 has 320 (100.0%) missing valuesMissing
자본금 has 283 (88.4%) missing valuesMissing
보험시작일자 has 320 (100.0%) missing valuesMissing
보험종료일자 has 320 (100.0%) missing valuesMissing
부대시설내역 has 320 (100.0%) missing valuesMissing
시설규모 has 192 (60.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
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
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 17 (5.3%) zerosZeros
자본금 has 13 (4.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:56:33.792958
Analysis finished2024-05-11 05:56:35.074082
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3000000
320 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 320
100.0%

Length

2024-05-11T14:56:35.176884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:35.321234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 320
100.0%

관리번호
Text

UNIQUE 

Distinct320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T14:56:35.600572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6400
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique320 ?
Unique (%)100.0%

Sample

1st rowCDFI2262222023000016
2nd rowCDFI2262222023000008
3rd rowCDFI2262222015000013
4th rowCDFI2262222023000009
5th rowCDFI2262222023000013
ValueCountFrequency (%)
cdfi2262222023000016 1
 
0.3%
cdfi2262222023000008 1
 
0.3%
cdfi3261132012000014 1
 
0.3%
cdfi3261132012000013 1
 
0.3%
cdfi3261132016000020 1
 
0.3%
cdfi3261132012000006 1
 
0.3%
cdfi3261132014000011 1
 
0.3%
cdfi3261132014000015 1
 
0.3%
cdfi3261132015000023 1
 
0.3%
cdfi3261132012000003 1
 
0.3%
Other values (310) 310
96.9%
2024-05-11T14:56:36.506134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1898
29.7%
0 1826
28.5%
1 526
 
8.2%
6 374
 
5.8%
C 320
 
5.0%
D 320
 
5.0%
F 320
 
5.0%
I 320
 
5.0%
3 246
 
3.8%
4 65
 
1.0%
Other values (4) 185
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5120
80.0%
Uppercase Letter 1280
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1898
37.1%
0 1826
35.7%
1 526
 
10.3%
6 374
 
7.3%
3 246
 
4.8%
4 65
 
1.3%
5 59
 
1.2%
8 46
 
0.9%
9 41
 
0.8%
7 39
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 320
25.0%
D 320
25.0%
F 320
25.0%
I 320
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5120
80.0%
Latin 1280
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1898
37.1%
0 1826
35.7%
1 526
 
10.3%
6 374
 
7.3%
3 246
 
4.8%
4 65
 
1.3%
5 59
 
1.2%
8 46
 
0.9%
9 41
 
0.8%
7 39
 
0.8%
Latin
ValueCountFrequency (%)
C 320
25.0%
D 320
25.0%
F 320
25.0%
I 320
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1898
29.7%
0 1826
28.5%
1 526
 
8.2%
6 374
 
5.8%
C 320
 
5.0%
D 320
 
5.0%
F 320
 
5.0%
I 320
 
5.0%
3 246
 
3.8%
4 65
 
1.0%
Other values (4) 185
 
2.9%

인허가일자
Date

Distinct277
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2009-12-24 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T14:56:36.848751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:37.074188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
217 
3
103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 217
67.8%
3 103
32.2%

Length

2024-05-11T14:56:37.273598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:37.447301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 217
67.8%
3 103
32.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
217 
폐업
103 

Length

Max length5
Median length5
Mean length4.034375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 217
67.8%
폐업 103
32.2%

Length

2024-05-11T14:56:37.635879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:37.821343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 217
67.8%
폐업 103
32.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
217 
3
103 

Length

Max length2
Median length2
Mean length1.678125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row3
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 217
67.8%
3 103
32.2%

Length

2024-05-11T14:56:38.108760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:38.276291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 217
67.8%
3 103
32.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
217 
폐업
103 

Length

Max length3
Median length3
Mean length2.678125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 217
67.8%
폐업 103
32.2%

Length

2024-05-11T14:56:38.460919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:38.640718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 217
67.8%
폐업 103
32.2%

폐업일자
Date

MISSING 

Distinct103
Distinct (%)100.0%
Missing217
Missing (%)67.8%
Memory size2.6 KiB
Minimum2011-02-22 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T14:56:38.884872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:39.112482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Date

MISSING 

Distinct103
Distinct (%)100.0%
Missing217
Missing (%)67.8%
Memory size2.6 KiB
Minimum2011-02-22 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T14:56:39.335687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:39.553187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct58
Distinct (%)84.1%
Missing251
Missing (%)78.4%
Memory size2.6 KiB
2024-05-11T14:56:39.922494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.768116
Min length8

Characters and Unicode

Total characters743
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)79.7%

Sample

1st row02-722-8254
2nd row02-6264-0440
3rd row02-1544-5931
4th row02-1670-4123
5th row070-8153-4040
ValueCountFrequency (%)
1544-5931 8
 
11.6%
02-1670-4123 4
 
5.8%
02-3673-3400 2
 
2.9%
02-546-0088 1
 
1.4%
02-2277-0808 1
 
1.4%
02-725-5053 1
 
1.4%
02-763-1491 1
 
1.4%
02-742-5654 1
 
1.4%
02-766-6649 1
 
1.4%
02-743-8530 1
 
1.4%
Other values (48) 48
69.6%
2024-05-11T14:56:40.644784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
15.9%
0 101
13.6%
2 91
12.2%
3 82
11.0%
4 73
9.8%
7 71
9.6%
6 57
7.7%
1 51
6.9%
5 48
6.5%
9 26
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 625
84.1%
Dash Punctuation 118
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
16.2%
2 91
14.6%
3 82
13.1%
4 73
11.7%
7 71
11.4%
6 57
9.1%
1 51
8.2%
5 48
7.7%
9 26
 
4.2%
8 25
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 743
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
15.9%
0 101
13.6%
2 91
12.2%
3 82
11.0%
4 73
9.8%
7 71
9.6%
6 57
7.7%
1 51
6.9%
5 48
6.5%
9 26
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 743
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
15.9%
0 101
13.6%
2 91
12.2%
3 82
11.0%
4 73
9.8%
7 71
9.6%
6 57
7.7%
1 51
6.9%
5 48
6.5%
9 26
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct25
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
253 
110800
 
13
110801
 
9
110260
 
8
110380
 
5
Other values (20)
32 

Length

Max length7
Median length4
Mean length4.421875
Min length4

Unique

Unique13 ?
Unique (%)4.1%

Sample

1st row<NA>
2nd row<NA>
3rd row110-043
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 253
79.1%
110800 13
 
4.1%
110801 9
 
2.8%
110260 8
 
2.5%
110380 5
 
1.6%
110190 4
 
1.2%
110360 3
 
0.9%
110230 3
 
0.9%
110340 3
 
0.9%
110521 2
 
0.6%
Other values (15) 17
 
5.3%

Length

2024-05-11T14:56:40.863183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 253
79.1%
110800 13
 
4.1%
110801 9
 
2.8%
110260 8
 
2.5%
110380 5
 
1.6%
110190 4
 
1.2%
110360 3
 
0.9%
110230 3
 
0.9%
110340 3
 
0.9%
110220 2
 
0.6%
Other values (15) 17
 
5.3%

지번주소
Text

Distinct302
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T14:56:41.323738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.85625
Min length15

Characters and Unicode

Total characters6034
Distinct characters93
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

Unique288 ?
Unique (%)90.0%

Sample

1st row서울특별시 종로구 구기동 132-8 힐탑빌라
2nd row서울특별시 종로구 누하동 103
3rd row서울특별시 종로구 통인동 101번지
4th row서울특별시 종로구 통의동 7-14
5th row서울특별시 종로구 체부동 118-3
ValueCountFrequency (%)
서울특별시 320
24.5%
종로구 320
24.5%
계동 69
 
5.3%
가회동 51
 
3.9%
체부동 28
 
2.1%
누하동 26
 
2.0%
삼청동 15
 
1.1%
통인동 15
 
1.1%
권농동 12
 
0.9%
사간동 9
 
0.7%
Other values (340) 441
33.8%
2024-05-11T14:56:41.989761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
987
16.4%
서 330
 
5.5%
울 322
 
5.3%
종 321
 
5.3%
로 321
 
5.3%
구 321
 
5.3%
특 320
 
5.3%
별 320
 
5.3%
시 320
 
5.3%
1 316
 
5.2%
Other values (83) 2156
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3707
61.4%
Decimal Number 1114
 
18.5%
Space Separator 987
 
16.4%
Dash Punctuation 226
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 330
8.9%
울 322
8.7%
종 321
8.7%
로 321
8.7%
구 321
8.7%
특 320
8.6%
별 320
8.6%
시 320
8.6%
동 312
8.4%
지 105
 
2.8%
Other values (71) 715
19.3%
Decimal Number
ValueCountFrequency (%)
1 316
28.4%
2 152
13.6%
3 143
12.8%
5 99
 
8.9%
6 83
 
7.5%
4 73
 
6.6%
7 72
 
6.5%
0 66
 
5.9%
9 56
 
5.0%
8 54
 
4.8%
Space Separator
ValueCountFrequency (%)
987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3707
61.4%
Common 2327
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 330
8.9%
울 322
8.7%
종 321
8.7%
로 321
8.7%
구 321
8.7%
특 320
8.6%
별 320
8.6%
시 320
8.6%
동 312
8.4%
지 105
 
2.8%
Other values (71) 715
19.3%
Common
ValueCountFrequency (%)
987
42.4%
1 316
 
13.6%
- 226
 
9.7%
2 152
 
6.5%
3 143
 
6.1%
5 99
 
4.3%
6 83
 
3.6%
4 73
 
3.1%
7 72
 
3.1%
0 66
 
2.8%
Other values (2) 110
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3707
61.4%
ASCII 2327
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
987
42.4%
1 316
 
13.6%
- 226
 
9.7%
2 152
 
6.5%
3 143
 
6.1%
5 99
 
4.3%
6 83
 
3.6%
4 73
 
3.1%
7 72
 
3.1%
0 66
 
2.8%
Other values (2) 110
 
4.7%
Hangul
ValueCountFrequency (%)
서 330
8.9%
울 322
8.7%
종 321
8.7%
로 321
8.7%
구 321
8.7%
특 320
8.6%
별 320
8.6%
시 320
8.6%
동 312
8.4%
지 105
 
2.8%
Other values (71) 715
19.3%

도로명주소
Text

MISSING 

Distinct256
Distinct (%)88.3%
Missing30
Missing (%)9.4%
Memory size2.6 KiB
2024-05-11T14:56:42.403451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.796552
Min length21

Characters and Unicode

Total characters7481
Distinct characters116
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

Unique231 ?
Unique (%)79.7%

Sample

1st row서울특별시 종로구 진흥로21길 13, 지층 101호 (구기동, 힐탑빌라)
2nd row서울특별시 종로구 필운대로5가길 11-4 (누하동)
3rd row서울특별시 종로구 효자로7길 7-3 (통의동)
4th row서울특별시 종로구 자하문로5가길 17-7 (체부동)
5th row서울특별시 종로구 북촌로11다길 3 (삼청동)
ValueCountFrequency (%)
서울특별시 290
19.8%
종로구 290
19.8%
계동 65
 
4.4%
가회동 47
 
3.2%
계동길 35
 
2.4%
체부동 26
 
1.8%
누하동 24
 
1.6%
통인동 13
 
0.9%
삼청동 13
 
0.9%
창덕궁길 12
 
0.8%
Other values (336) 653
44.5%
2024-05-11T14:56:43.063147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1179
 
15.8%
로 503
 
6.7%
1 339
 
4.5%
동 337
 
4.5%
서 301
 
4.0%
종 293
 
3.9%
울 292
 
3.9%
구 291
 
3.9%
시 290
 
3.9%
별 290
 
3.9%
Other values (106) 3366
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4375
58.5%
Space Separator 1179
 
15.8%
Decimal Number 1125
 
15.0%
Open Punctuation 290
 
3.9%
Close Punctuation 290
 
3.9%
Dash Punctuation 205
 
2.7%
Other Punctuation 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 503
11.5%
동 337
 
7.7%
서 301
 
6.9%
종 293
 
6.7%
울 292
 
6.7%
구 291
 
6.7%
시 290
 
6.6%
별 290
 
6.6%
특 290
 
6.6%
길 251
 
5.7%
Other values (91) 1237
28.3%
Decimal Number
ValueCountFrequency (%)
1 339
30.1%
2 136
12.1%
5 105
 
9.3%
3 105
 
9.3%
4 93
 
8.3%
6 91
 
8.1%
7 78
 
6.9%
9 67
 
6.0%
0 58
 
5.2%
8 53
 
4.7%
Space Separator
ValueCountFrequency (%)
1179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4375
58.5%
Common 3106
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 503
11.5%
동 337
 
7.7%
서 301
 
6.9%
종 293
 
6.7%
울 292
 
6.7%
구 291
 
6.7%
시 290
 
6.6%
별 290
 
6.6%
특 290
 
6.6%
길 251
 
5.7%
Other values (91) 1237
28.3%
Common
ValueCountFrequency (%)
1179
38.0%
1 339
 
10.9%
( 290
 
9.3%
) 290
 
9.3%
- 205
 
6.6%
2 136
 
4.4%
5 105
 
3.4%
3 105
 
3.4%
4 93
 
3.0%
6 91
 
2.9%
Other values (5) 273
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4375
58.5%
ASCII 3106
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1179
38.0%
1 339
 
10.9%
( 290
 
9.3%
) 290
 
9.3%
- 205
 
6.6%
2 136
 
4.4%
5 105
 
3.4%
3 105
 
3.4%
4 93
 
3.0%
6 91
 
2.9%
Other values (5) 273
 
8.8%
Hangul
ValueCountFrequency (%)
로 503
11.5%
동 337
 
7.7%
서 301
 
6.9%
종 293
 
6.7%
울 292
 
6.7%
구 291
 
6.7%
시 290
 
6.6%
별 290
 
6.6%
특 290
 
6.6%
길 251
 
5.7%
Other values (91) 1237
28.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)20.1%
Missing56
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean9574.4318
Minimum3007
Maximum110806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:43.279285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile3036
Q13041
median3054.5
Q33057
95-th percentile110215.5
Maximum110806
Range107799
Interquartile range (IQR)16

Descriptive statistics

Standard deviation25705.471
Coefficient of variation (CV)2.6848038
Kurtosis11.810021
Mean9574.4318
Median Absolute Deviation (MAD)10.5
Skewness3.7041162
Sum2527650
Variance6.6077125 × 108
MonotonicityNot monotonic
2024-05-11T14:56:43.519504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3057 31
 
9.7%
3056 29
 
9.1%
3052 23
 
7.2%
3040 19
 
5.9%
3041 16
 
5.0%
3134 11
 
3.4%
3039 10
 
3.1%
3051 9
 
2.8%
3036 9
 
2.8%
3053 9
 
2.8%
Other values (43) 98
30.6%
(Missing) 56
17.5%
ValueCountFrequency (%)
3007 1
 
0.3%
3015 1
 
0.3%
3022 1
 
0.3%
3027 3
 
0.9%
3028 1
 
0.3%
3034 2
 
0.6%
3035 2
 
0.6%
3036 9
2.8%
3037 7
2.2%
3038 3
 
0.9%
ValueCountFrequency (%)
110806 1
 
0.3%
110805 1
 
0.3%
110801 3
0.9%
110800 4
1.2%
110521 1
 
0.3%
110380 2
0.6%
110360 1
 
0.3%
110220 1
 
0.3%
110190 1
 
0.3%
110091 1
 
0.3%

사업장명
Text

Distinct311
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T14:56:43.891684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length6.609375
Min length2

Characters and Unicode

Total characters2115
Distinct characters326
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)94.7%

Sample

1st row건교의 숲
2nd row클래식 고택
3rd row서림재
4th row영추 스테이
5th row여은가 바이 버틀러리
ValueCountFrequency (%)
게스트하우스 34
 
6.6%
바이 32
 
6.2%
버틀러리 31
 
6.0%
한옥 19
 
3.7%
북촌 10
 
1.9%
하우스 6
 
1.2%
이화한옥 5
 
1.0%
궁 4
 
0.8%
노스텔지어 4
 
0.8%
락고재 4
 
0.8%
Other values (342) 367
71.1%
2024-05-11T14:56:44.540534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
9.3%
스 158
 
7.5%
하 91
 
4.3%
우 89
 
4.2%
이 67
 
3.2%
트 62
 
2.9%
게 56
 
2.6%
옥 53
 
2.5%
한 53
 
2.5%
리 47
 
2.2%
Other values (316) 1243
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
83.7%
Space Separator 196
 
9.3%
Decimal Number 53
 
2.5%
Lowercase Letter 39
 
1.8%
Uppercase Letter 28
 
1.3%
Close Punctuation 12
 
0.6%
Open Punctuation 12
 
0.6%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 158
 
8.9%
하 91
 
5.1%
우 89
 
5.0%
이 67
 
3.8%
트 62
 
3.5%
게 56
 
3.2%
옥 53
 
3.0%
한 53
 
3.0%
리 47
 
2.7%
재 46
 
2.6%
Other values (270) 1048
59.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
n 4
10.3%
a 4
10.3%
i 4
10.3%
o 4
10.3%
l 3
7.7%
k 2
 
5.1%
r 2
 
5.1%
m 2
 
5.1%
t 1
 
2.6%
Other values (6) 6
15.4%
Uppercase Letter
ValueCountFrequency (%)
H 3
10.7%
A 3
10.7%
K 3
10.7%
J 2
 
7.1%
N 2
 
7.1%
F 2
 
7.1%
M 2
 
7.1%
B 2
 
7.1%
I 2
 
7.1%
E 2
 
7.1%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
2 16
30.2%
1 11
20.8%
3 7
13.2%
9 6
 
11.3%
0 5
 
9.4%
4 5
 
9.4%
6 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1752
82.8%
Common 278
 
13.1%
Latin 67
 
3.2%
Han 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 158
 
9.0%
하 91
 
5.2%
우 89
 
5.1%
이 67
 
3.8%
트 62
 
3.5%
게 56
 
3.2%
옥 53
 
3.0%
한 53
 
3.0%
리 47
 
2.7%
재 46
 
2.6%
Other values (253) 1030
58.8%
Latin
ValueCountFrequency (%)
e 7
 
10.4%
n 4
 
6.0%
a 4
 
6.0%
i 4
 
6.0%
o 4
 
6.0%
H 3
 
4.5%
A 3
 
4.5%
K 3
 
4.5%
l 3
 
4.5%
k 2
 
3.0%
Other values (21) 30
44.8%
Han
ValueCountFrequency (%)
一 2
 
11.1%
處 1
 
5.6%
靜 1
 
5.6%
居 1
 
5.6%
閑 1
 
5.6%
韓 1
 
5.6%
緣 1
 
5.6%
堂 1
 
5.6%
霞 1
 
5.6%
紫 1
 
5.6%
Other values (7) 7
38.9%
Common
ValueCountFrequency (%)
196
70.5%
2 16
 
5.8%
) 12
 
4.3%
( 12
 
4.3%
1 11
 
4.0%
3 7
 
2.5%
9 6
 
2.2%
0 5
 
1.8%
4 5
 
1.8%
: 3
 
1.1%
Other values (5) 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1752
82.8%
ASCII 345
 
16.3%
CJK 18
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
56.8%
2 16
 
4.6%
) 12
 
3.5%
( 12
 
3.5%
1 11
 
3.2%
e 7
 
2.0%
3 7
 
2.0%
9 6
 
1.7%
0 5
 
1.4%
4 5
 
1.4%
Other values (36) 68
 
19.7%
Hangul
ValueCountFrequency (%)
스 158
 
9.0%
하 91
 
5.2%
우 89
 
5.1%
이 67
 
3.8%
트 62
 
3.5%
게 56
 
3.2%
옥 53
 
3.0%
한 53
 
3.0%
리 47
 
2.7%
재 46
 
2.6%
Other values (253) 1030
58.8%
CJK
ValueCountFrequency (%)
一 2
 
11.1%
處 1
 
5.6%
靜 1
 
5.6%
居 1
 
5.6%
閑 1
 
5.6%
韓 1
 
5.6%
緣 1
 
5.6%
堂 1
 
5.6%
霞 1
 
5.6%
紫 1
 
5.6%
Other values (7) 7
38.9%

최종수정일자
Date

UNIQUE 

Distinct320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2011-02-23 09:49:54
Maximum2024-05-07 12:27:12
2024-05-11T14:56:44.773359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:45.004003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
U
170 
I
150 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 170
53.1%
I 150
46.9%

Length

2024-05-11T14:56:45.197424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:45.375874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 170
53.1%
i 150
46.9%

데이터갱신일자
Date

Distinct141
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:56:45.550786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:45.821824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct271
Distinct (%)85.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean198289.15
Minimum196048.08
Maximum201463.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:46.059092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196048.08
5-th percentile197103.62
Q1197370
median198532.54
Q3198788.7
95-th percentile199197.67
Maximum201463.09
Range5415.0153
Interquartile range (IQR)1418.699

Descriptive statistics

Standard deviation830.16928
Coefficient of variation (CV)0.0041866602
Kurtosis0.43656901
Mean198289.15
Median Absolute Deviation (MAD)298.97389
Skewness0.079087289
Sum63254238
Variance689181.04
MonotonicityNot monotonic
2024-05-11T14:56:46.314357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198783.79724797 5
 
1.6%
198837.478273211 4
 
1.2%
199171.680375348 4
 
1.2%
199172.261259753 4
 
1.2%
198259.098350522 3
 
0.9%
197103.617179992 3
 
0.9%
199159.22991115 3
 
0.9%
198936.639596841 3
 
0.9%
198562.704313617 3
 
0.9%
198827.874900274 2
 
0.6%
Other values (261) 285
89.1%
ValueCountFrequency (%)
196048.079358067 1
0.3%
196238.292185598 1
0.3%
196419.887383316 1
0.3%
196689.815014399 1
0.3%
196822.659315635 1
0.3%
196842.940354518 1
0.3%
196921.261619525 1
0.3%
197065.893284522 2
0.6%
197078.881672675 2
0.6%
197080.707246013 1
0.3%
ValueCountFrequency (%)
201463.094704074 1
0.3%
201063.421665224 1
0.3%
200962.202725769 1
0.3%
200681.827310853 1
0.3%
200167.562620675 1
0.3%
199978.73552356 1
0.3%
199950.776923499 1
0.3%
199903.722532063 1
0.3%
199897.873410763 1
0.3%
199842.185399771 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct271
Distinct (%)85.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean453127.83
Minimum452236.73
Maximum456274.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:46.570333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452236.73
5-th percentile452452.32
Q1452884.02
median453125.48
Q3453351.89
95-th percentile453623.48
Maximum456274.67
Range4037.9355
Interquartile range (IQR)467.86449

Descriptive statistics

Standard deviation419.68727
Coefficient of variation (CV)0.00092620059
Kurtosis11.76351
Mean453127.83
Median Absolute Deviation (MAD)236.69141
Skewness1.8924647
Sum1.4454778 × 108
Variance176137.4
MonotonicityNot monotonic
2024-05-11T14:56:46.811327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453232.209335162 5
 
1.6%
453434.800935486 4
 
1.2%
452452.323673795 4
 
1.2%
452698.071877083 4
 
1.2%
452860.189907163 3
 
0.9%
453073.627903687 3
 
0.9%
452698.562949121 3
 
0.9%
452666.752884073 3
 
0.9%
453088.711928192 3
 
0.9%
453368.531810187 2
 
0.6%
Other values (261) 285
89.1%
ValueCountFrequency (%)
452236.731053085 1
0.3%
452286.426630292 1
0.3%
452291.324287912 1
0.3%
452296.538794274 1
0.3%
452314.732543766 1
0.3%
452324.773511861 1
0.3%
452325.070841778 1
0.3%
452336.91679215 1
0.3%
452369.560132882 1
0.3%
452380.744839855 1
0.3%
ValueCountFrequency (%)
456274.666602914 1
0.3%
455326.820153064 1
0.3%
454378.389428767 1
0.3%
454289.006703775 1
0.3%
454268.534349687 1
0.3%
454228.74670798 1
0.3%
454147.045717578 2
0.6%
454130.889502182 1
0.3%
454058.734138338 1
0.3%
453964.218128414 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
183 
한옥체험업
137 

Length

Max length5
Median length4
Mean length4.428125
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> 183
57.2%
한옥체험업 137
42.8%

Length

2024-05-11T14:56:47.059800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:47.631755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
57.2%
한옥체험업 137
42.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
248 
일반주거지역
47 
주거지역
 
17
일반상업지역
 
6
상업지역
 
1

Length

Max length6
Median length4
Mean length4.3375
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
77.5%
일반주거지역 47
 
14.7%
주거지역 17
 
5.3%
일반상업지역 6
 
1.9%
상업지역 1
 
0.3%
전용주거지역 1
 
0.3%

Length

2024-05-11T14:56:47.869468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:48.104220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
77.5%
일반주거지역 47
 
14.7%
주거지역 17
 
5.3%
일반상업지역 6
 
1.9%
상업지역 1
 
0.3%
전용주거지역 1
 
0.3%

총층수
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
238 
1
64 
0
 
16
2
 
2

Length

Max length4
Median length4
Mean length3.23125
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> 238
74.4%
1 64
 
20.0%
0 16
 
5.0%
2 2
 
0.6%

Length

2024-05-11T14:56:48.287965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:48.460253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
74.4%
1 64
 
20.0%
0 16
 
5.0%
2 2
 
0.6%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
259 
학교정화(상대)
42 
기타
 
9
학교정화(절대)
 
7
주택가주변
 
2

Length

Max length8
Median length4
Mean length4.575
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
80.9%
학교정화(상대) 42
 
13.1%
기타 9
 
2.8%
학교정화(절대) 7
 
2.2%
주택가주변 2
 
0.6%
유흥업소밀집지역 1
 
0.3%

Length

2024-05-11T14:56:48.599550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:48.754418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
80.9%
학교정화(상대 42
 
13.1%
기타 9
 
2.8%
학교정화(절대 7
 
2.2%
주택가주변 2
 
0.6%
유흥업소밀집지역 1
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

건물용도명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
227 
단독주택
83 
근린생활시설
 
10

Length

Max length6
Median length4
Mean length4.0625
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> 227
70.9%
단독주택 83
 
25.9%
근린생활시설 10
 
3.1%

Length

2024-05-11T14:56:48.927531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:49.074344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 227
70.9%
단독주택 83
 
25.9%
근린생활시설 10
 
3.1%

지상층수
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
218 
1
87 
0
 
15

Length

Max length4
Median length4
Mean length3.04375
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> 218
68.1%
1 87
 
27.2%
0 15
 
4.7%

Length

2024-05-11T14:56:49.246254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:49.413613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 218
68.1%
1 87
 
27.2%
0 15
 
4.7%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
286 
0
29 
1
 
5

Length

Max length4
Median length4
Mean length3.68125
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> 286
89.4%
0 29
 
9.1%
1 5
 
1.6%

Length

2024-05-11T14:56:49.578985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:49.800375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
89.4%
0 29
 
9.1%
1 5
 
1.6%

객실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
296 
0
 
14
1
 
4
3
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.775
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 296
92.5%
0 14
 
4.4%
1 4
 
1.2%
3 4
 
1.2%
2 1
 
0.3%
4 1
 
0.3%

Length

2024-05-11T14:56:50.033012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:50.176297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
92.5%
0 14
 
4.4%
1 4
 
1.2%
3 4
 
1.2%
2 1
 
0.3%
4 1
 
0.3%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)27.3%
Missing298
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean10.909091
Minimum0
Maximum75
Zeros17
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:50.325040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile62
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.456114
Coefficient of variation (CV)2.0584771
Kurtosis2.9583694
Mean10.909091
Median Absolute Deviation (MAD)0
Skewness1.9881089
Sum240
Variance504.27706
MonotonicityNot monotonic
2024-05-11T14:56:50.509625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 17
 
5.3%
43 1
 
0.3%
75 1
 
0.3%
33 1
 
0.3%
63 1
 
0.3%
26 1
 
0.3%
(Missing) 298
93.1%
ValueCountFrequency (%)
0 17
5.3%
26 1
 
0.3%
33 1
 
0.3%
43 1
 
0.3%
63 1
 
0.3%
75 1
 
0.3%
ValueCountFrequency (%)
75 1
 
0.3%
63 1
 
0.3%
43 1
 
0.3%
33 1
 
0.3%
26 1
 
0.3%
0 17
5.3%

영문상호명
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing261
Missing (%)81.6%
Memory size2.6 KiB
2024-05-11T14:56:50.817904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length15.067797
Min length3

Characters and Unicode

Total characters889
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st rowFlower garden
2nd rowSeochonyoungrakjae
3rd rowNUILE STAY
4th rowa usual day
5th rowAnalog Hanok
ValueCountFrequency (%)
guesthouse 9
 
7.2%
by 9
 
7.2%
hanok 8
 
6.4%
butler:lee 6
 
4.8%
house 4
 
3.2%
bukchon 4
 
3.2%
hue 2
 
1.6%
dang 2
 
1.6%
seouluiharu 2
 
1.6%
seochon 2
 
1.6%
Other values (73) 77
61.6%
2024-05-11T14:56:51.413367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 77
 
8.7%
66
 
7.4%
e 62
 
7.0%
n 59
 
6.6%
a 57
 
6.4%
u 48
 
5.4%
g 31
 
3.5%
s 30
 
3.4%
h 29
 
3.3%
l 25
 
2.8%
Other values (41) 405
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 570
64.1%
Uppercase Letter 243
27.3%
Space Separator 66
 
7.4%
Other Punctuation 6
 
0.7%
Decimal Number 4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 77
13.5%
e 62
10.9%
n 59
10.4%
a 57
10.0%
u 48
 
8.4%
g 31
 
5.4%
s 30
 
5.3%
h 29
 
5.1%
l 25
 
4.4%
i 22
 
3.9%
Other values (13) 130
22.8%
Uppercase Letter
ValueCountFrequency (%)
E 24
 
9.9%
H 23
 
9.5%
U 19
 
7.8%
S 19
 
7.8%
G 18
 
7.4%
O 15
 
6.2%
N 15
 
6.2%
B 15
 
6.2%
A 11
 
4.5%
M 10
 
4.1%
Other values (13) 74
30.5%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
1 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Other Punctuation
ValueCountFrequency (%)
: 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 813
91.5%
Common 76
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 77
 
9.5%
e 62
 
7.6%
n 59
 
7.3%
a 57
 
7.0%
u 48
 
5.9%
g 31
 
3.8%
s 30
 
3.7%
h 29
 
3.6%
l 25
 
3.1%
E 24
 
3.0%
Other values (36) 371
45.6%
Common
ValueCountFrequency (%)
66
86.8%
: 6
 
7.9%
9 2
 
2.6%
1 1
 
1.3%
3 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 77
 
8.7%
66
 
7.4%
e 62
 
7.0%
n 59
 
6.6%
a 57
 
6.4%
u 48
 
5.4%
g 31
 
3.5%
s 30
 
3.4%
h 29
 
3.3%
l 25
 
2.8%
Other values (41) 405
45.6%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
261 
Traditional Korean housing experiencing business
56 
Korean Traditional housing experiencing business
 
3

Length

Max length48
Median length4
Mean length12.1125
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> 261
81.6%
Traditional Korean housing experiencing business 56
 
17.5%
Korean Traditional housing experiencing business 3
 
0.9%

Length

2024-05-11T14:56:51.665063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:51.844247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
46.9%
traditional 59
 
10.6%
korean 59
 
10.6%
housing 59
 
10.6%
experiencing 59
 
10.6%
business 59
 
10.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:52.071527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:52.260058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:52.437380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:52.614703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:52.798333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:52.954989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:53.104055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:53.255413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:53.450170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:53.619510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

시설면적
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)73.4%
Missing192
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean87.174609
Minimum16.53
Maximum509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:53.811961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.53
5-th percentile21.8875
Q144.33
median66.11
Q3103.39
95-th percentile203.558
Maximum509
Range492.47
Interquartile range (IQR)59.06

Descriptive statistics

Standard deviation72.870224
Coefficient of variation (CV)0.8359111
Kurtosis11.433845
Mean87.174609
Median Absolute Deviation (MAD)26.44
Skewness2.9135647
Sum11158.35
Variance5310.0695
MonotonicityNot monotonic
2024-05-11T14:56:54.086216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.67 6
 
1.9%
42.98 5
 
1.6%
33.06 4
 
1.2%
59.51 3
 
0.9%
64.93 3
 
0.9%
49.59 3
 
0.9%
46.28 3
 
0.9%
45.55 3
 
0.9%
103.39 3
 
0.9%
19.83 2
 
0.6%
Other values (84) 93
29.1%
(Missing) 192
60.0%
ValueCountFrequency (%)
16.53 2
0.6%
17.79 1
 
0.3%
19.83 2
0.6%
21.87 2
0.6%
21.92 1
 
0.3%
23.14 1
 
0.3%
25.49 1
 
0.3%
26.0 1
 
0.3%
29.75 1
 
0.3%
33.06 4
1.2%
ValueCountFrequency (%)
509.0 1
0.3%
374.5 1
0.3%
345.41 2
0.6%
254.5 1
0.3%
214.9 1
0.3%
212.42 1
0.3%
187.1 1
0.3%
185.1 1
0.3%
180.61 1
0.3%
175.2 1
0.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
18

Length

Max length4
Median length4
Mean length3.83125
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> 302
94.4%
0 18
 
5.6%

Length

2024-05-11T14:56:54.342640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:54.518208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.4%
0 18
 
5.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)35.1%
Missing283
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean1.1081081 × 108
Minimum0
Maximum1 × 109
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:54.675225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20000000
Q31 × 108
95-th percentile5.2 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation2.1128086 × 108
Coefficient of variation (CV)1.9066809
Kurtosis8.7798648
Mean1.1081081 × 108
Median Absolute Deviation (MAD)20000000
Skewness2.8518091
Sum4.1 × 109
Variance4.4639602 × 1016
MonotonicityNot monotonic
2024-05-11T14:56:54.852368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 13
 
4.1%
100000000 6
 
1.9%
20000000 4
 
1.2%
50000000 2
 
0.6%
500000000 2
 
0.6%
10000000 2
 
0.6%
5000000 2
 
0.6%
160000000 1
 
0.3%
250000000 1
 
0.3%
600000000 1
 
0.3%
Other values (3) 3
 
0.9%
(Missing) 283
88.4%
ValueCountFrequency (%)
0 13
4.1%
5000000 2
 
0.6%
10000000 2
 
0.6%
20000000 4
 
1.2%
50000000 2
 
0.6%
80000000 1
 
0.3%
100000000 6
1.9%
160000000 1
 
0.3%
200000000 1
 
0.3%
250000000 1
 
0.3%
ValueCountFrequency (%)
1000000000 1
 
0.3%
600000000 1
 
0.3%
500000000 2
 
0.6%
250000000 1
 
0.3%
200000000 1
 
0.3%
160000000 1
 
0.3%
100000000 6
1.9%
80000000 1
 
0.3%
50000000 2
 
0.6%
20000000 4
1.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing320
Missing (%)100.0%
Memory size2.9 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)57.8%
Missing192
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean87.203125
Minimum17
Maximum509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:56:55.099969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile22
Q144.5
median66
Q3103
95-th percentile203.25
Maximum509
Range492
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation72.842226
Coefficient of variation (CV)0.83531669
Kurtosis11.450349
Mean87.203125
Median Absolute Deviation (MAD)26
Skewness2.9163677
Sum11162
Variance5305.9899
MonotonicityNot monotonic
2024-05-11T14:56:55.360434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 7
 
2.2%
40 7
 
2.2%
43 5
 
1.6%
33 4
 
1.2%
73 3
 
0.9%
103 3
 
0.9%
60 3
 
0.9%
22 3
 
0.9%
129 3
 
0.9%
57 3
 
0.9%
Other values (64) 87
27.2%
(Missing) 192
60.0%
ValueCountFrequency (%)
17 2
0.6%
18 1
 
0.3%
20 2
0.6%
22 3
0.9%
23 1
 
0.3%
25 1
 
0.3%
26 1
 
0.3%
30 1
 
0.3%
33 4
1.2%
35 1
 
0.3%
ValueCountFrequency (%)
509 1
0.3%
375 1
0.3%
345 2
0.6%
255 1
0.3%
215 1
0.3%
212 1
0.3%
187 1
0.3%
185 1
0.3%
181 1
0.3%
175 1
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFI22622220230000162023-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 구기동 132-8 힐탑빌라서울특별시 종로구 진흥로21길 13, 지층 101호 (구기동, 힐탑빌라)3007건교의 숲2023-06-07 13:43:54I2022-12-06 00:09:00.0<NA>196238.292186456274.666603<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFI22622220230000082023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 누하동 103서울특별시 종로구 필운대로5가길 11-4 (누하동)3037클래식 고택2023-03-28 08:20:31I2022-12-02 21:00:00.0<NA>197114.760899453058.797701<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFI22622220150000132015-07-16<NA>3폐업3폐업2023-03-27<NA>2023-03-27<NA>02-722-8254<NA>110-043서울특별시 종로구 통인동 101번지<NA><NA>서림재2023-03-28 10:08:47U2022-12-02 21:00:00.0<NA>197346.924827453133.298882<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFI22622220230000092023-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 7-14서울특별시 종로구 효자로7길 7-3 (통의동)3044영추 스테이2023-04-10 13:30:25I2022-12-03 23:02:00.0<NA>197586.56342452945.821636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFI22622220230000132023-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 체부동 118-3서울특별시 종로구 자하문로5가길 17-7 (체부동)3040여은가 바이 버틀러리2023-05-26 17:54:09I2022-12-04 22:08:00.0<NA>197342.119937452867.343354<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFI22622220230000122023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 35-15서울특별시 종로구 북촌로11다길 3 (삼청동)3052고우헌 바이 버틀러리2023-05-26 09:05:42I2022-12-04 22:08:00.0<NA>198376.731244453323.924788<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFI22622220230000102023-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 계동 119-1서울특별시 종로구 계동길 53 (계동)3056서은재2023-05-01 08:59:56I2022-12-05 00:03:00.0<NA>198747.191514453041.843956<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFI22622220230000112023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6264-0440<NA><NA>서울특별시 종로구 가회동 11-28서울특별시 종로구 북촌로12길 20-4 (가회동)3056모자이크 A2023-05-09 11:31:22I2022-12-04 23:01:00.0<NA>198683.101378453314.408913<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFI22622220230000182023-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 35-191서울특별시 종로구 북촌로11길 83-2 (삼청동)3052어반옥2023-06-14 13:14:30I2022-12-05 23:06:00.0<NA>198440.272005453572.734336<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFI22622220230000142023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 체부동 118-22서울특별시 종로구 자하문로5가길 17-29 (체부동)3040단물2023-05-30 10:22:31I2022-12-06 00:01:00.0<NA>197309.414758452860.434444<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
3103000000CDFI226222202100000120210104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통인동 147-5서울특별시 종로구 자하문로 33-7 (통인동)3040통인 19392021-02-23 11:12:26U2021-02-25 02:40:00.0<NA>197365.66224452964.449801한옥체험업<NA><NA>1<NA><NA><NA><NA><NA><NA>326TONGIN 1939Traditional Korean housing experiencing business<NA><NA><NA><NA><NA><NA><NA>26.0<NA><NA><NA><NA><NA><NA><NA><NA>5000000<NA><NA><NA>26
3113000000CDFI226222202300000120230103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 계동 2-54 서진재서울특별시 종로구 계동6길 8-2, 서진재 (계동)3057소회루 바이 버틀러리2023-01-03 09:34:33I2022-12-01 00:05:00.0<NA>198810.824711453354.493726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3123000000CDFI226222202300000220230105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 가회동 87서울특별시 종로구 북촌로9길 16-1 (가회동)3055노스텔지어 히든재2023-01-09 13:18:27U2022-11-30 23:01:00.0<NA>198532.541386453219.18438<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3133000000CDFI226222202300000320230109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3673-3666<NA><NA>서울특별시 종로구 가회동 31-38서울특별시 종로구 북촌로11라길 12 (가회동)3052노스텔지어 힐로재2023-01-09 17:10:06I2022-11-30 23:01:00.0<NA>198442.398964453442.375632<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3143000000CDFI226222202200001020220502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-18 (운니동)3131비규헌 바이 버틀러리2022-05-02 11:19:52I2021-12-05 00:04:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3153000000CDFI226222202300000420230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 체부동 165-2서울특별시 종로구 자하문로1다길 7 (체부동)3041더채 유휘2023-01-30 17:37:46I2022-12-02 00:01:00.0<NA>197369.788555452762.118619<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3163000000CDFI226222202200001120220502<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-5931<NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-18 (운니동)3131햇비재 바이 버틀러리2022-05-02 11:21:27I2021-12-05 00:04:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3173000000CDFI226222202200001220220603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통인동 23서울특별시 종로구 필운대로6길 17-17 (통인동)3036진서재 바이 버틀러리2022-06-03 14:23:38I2021-12-06 00:08:00.0<NA>197278.534784453138.966233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3183000000CDFI22622220140000032014-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-744-9200<NA><NA>서울특별시 종로구 가회동 192 청연재서울특별시 종로구 북촌로6길 13-2, 청연재 (가회동)3056클래식 고택 북촌2023-11-14 21:54:42U2022-10-31 23:06:00.0<NA>198663.87981453118.07116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3193000000CDFI22622220110000082011-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-16 (운니동)3131환의당 바이 버틀러리2023-11-14 21:40:10U2022-10-31 23:06:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>