Overview

Dataset statistics

Number of variables60
Number of observations31
Missing cells908
Missing cells (%)48.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory525.3 B

Variable types

Categorical21
Text9
DateTime5
Unsupported21
Numeric4

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17513/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
전화번호 has constant value ""Constant
주변환경명 has constant value ""Constant
영문상호주소 has constant value ""Constant
영업상태코드 is highly imbalanced (79.4%)Imbalance
영업상태명 is highly imbalanced (79.4%)Imbalance
상세영업상태코드 is highly imbalanced (79.4%)Imbalance
상세영업상태명 is highly imbalanced (79.4%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 30 (96.8%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 30 (96.8%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 30 (96.8%) missing valuesMissing
소재지면적 has 31 (100.0%) missing valuesMissing
소재지우편번호 has 31 (100.0%) missing valuesMissing
도로명주소 has 8 (25.8%) missing valuesMissing
업태구분명 has 31 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.2%) missing valuesMissing
좌표정보(Y) has 1 (3.2%) missing valuesMissing
문화사업자구분명 has 31 (100.0%) missing valuesMissing
지역구분명 has 27 (87.1%) missing valuesMissing
주변환경명 has 30 (96.8%) missing valuesMissing
제작취급품목내용 has 31 (100.0%) missing valuesMissing
보험기관명 has 31 (100.0%) missing valuesMissing
영문상호명 has 29 (93.5%) missing valuesMissing
영문상호주소 has 29 (93.5%) missing valuesMissing
선박제원 has 31 (100.0%) missing valuesMissing
기념품종류 has 31 (100.0%) missing valuesMissing
시설면적 has 21 (67.7%) missing valuesMissing
놀이기구수내역 has 31 (100.0%) missing valuesMissing
방송시설유무 has 31 (100.0%) missing valuesMissing
발전시설유무 has 31 (100.0%) missing valuesMissing
의무실유무 has 31 (100.0%) missing valuesMissing
안내소유무 has 31 (100.0%) missing valuesMissing
기획여행보험시작일자 has 31 (100.0%) missing valuesMissing
기획여행보험종료일자 has 31 (100.0%) missing valuesMissing
보험시작일자 has 31 (100.0%) missing valuesMissing
보험종료일자 has 31 (100.0%) missing valuesMissing
부대시설내역 has 31 (100.0%) missing valuesMissing
시설규모 has 21 (67.7%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 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
소재지우편번호 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
시설면적 has 2 (6.5%) zerosZeros
시설규모 has 2 (6.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:00:56.512291
Analysis finished2024-05-11 07:00:57.907350
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3110000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 31
100.0%

Length

2024-05-11T07:00:58.278517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:00:58.608895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 31
100.0%

관리번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T07:00:59.134404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters620
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowCDFI2262222017000001
2nd rowCDFI2262222018000001
3rd rowCDFI2262222018000002
4th rowCDFI2262222019000001
5th rowCDFI2262222019000002
ValueCountFrequency (%)
cdfi2262222017000001 1
 
3.2%
cdfi2262222021000002 1
 
3.2%
cdfi2262222024000001 1
 
3.2%
cdfi2262222023000005 1
 
3.2%
cdfi2262222023000004 1
 
3.2%
cdfi2262222023000003 1
 
3.2%
cdfi2262222023000002 1
 
3.2%
cdfi2262222023000001 1
 
3.2%
cdfi2262222022000004 1
 
3.2%
cdfi2262222022000003 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T07:01:00.243358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 220
35.5%
0 193
31.1%
6 32
 
5.2%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
I 31
 
5.0%
1 21
 
3.4%
3 10
 
1.6%
4 7
 
1.1%
Other values (4) 13
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 496
80.0%
Uppercase Letter 124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 220
44.4%
0 193
38.9%
6 32
 
6.5%
1 21
 
4.2%
3 10
 
2.0%
4 7
 
1.4%
9 5
 
1.0%
5 4
 
0.8%
7 2
 
0.4%
8 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
I 31
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
80.0%
Latin 124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 220
44.4%
0 193
38.9%
6 32
 
6.5%
1 21
 
4.2%
3 10
 
2.0%
4 7
 
1.4%
9 5
 
1.0%
5 4
 
0.8%
7 2
 
0.4%
8 2
 
0.4%
Latin
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
I 31
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 220
35.5%
0 193
31.1%
6 32
 
5.2%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
I 31
 
5.0%
1 21
 
3.4%
3 10
 
1.6%
4 7
 
1.1%
Other values (4) 13
 
2.1%

인허가일자
Date

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2017-07-24 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T07:01:00.728590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:01.166197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
30 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
96.8%
3 1
 
3.2%

Length

2024-05-11T07:01:01.570393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:01.823951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
96.8%
3 1
 
3.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
30 
폐업
 
1

Length

Max length5
Median length5
Mean length4.9032258
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
96.8%
폐업 1
 
3.2%

Length

2024-05-11T07:01:02.078344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:02.471644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
96.8%
폐업 1
 
3.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
13
30 
3
 
1

Length

Max length2
Median length2
Mean length1.9677419
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 30
96.8%
3 1
 
3.2%

Length

2024-05-11T07:01:02.799482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:03.126322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
96.8%
3 1
 
3.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업중
30 
폐업
 
1

Length

Max length3
Median length3
Mean length2.9677419
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 30
96.8%
폐업 1
 
3.2%

Length

2024-05-11T07:01:03.483228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:03.807383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 30
96.8%
폐업 1
 
3.2%

폐업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
Minimum2023-12-05 00:00:00
Maximum2023-12-05 00:00:00
2024-05-11T07:01:04.162362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:04.488027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
Minimum2023-12-05 00:00:00
Maximum2023-12-05 00:00:00
2024-05-11T07:01:04.770951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:05.092202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
2024-05-11T07:01:05.388474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters8
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

Unique1 ?
Unique (%)100.0%

Sample

1st row02-862-7901
ValueCountFrequency (%)
02-862-7901 1
100.0%
2024-05-11T07:01:06.079286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2
18.2%
2 2
18.2%
- 2
18.2%
8 1
9.1%
6 1
9.1%
7 1
9.1%
9 1
9.1%
1 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9
81.8%
Dash Punctuation 2
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
22.2%
2 2
22.2%
8 1
11.1%
6 1
11.1%
7 1
11.1%
9 1
11.1%
1 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
18.2%
2 2
18.2%
- 2
18.2%
8 1
9.1%
6 1
9.1%
7 1
9.1%
9 1
9.1%
1 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
18.2%
2 2
18.2%
- 2
18.2%
8 1
9.1%
6 1
9.1%
7 1
9.1%
9 1
9.1%
1 1
9.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

지번주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T07:01:06.511758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.806452
Min length19

Characters and Unicode

Total characters645
Distinct characters36
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

Unique31 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 진관동 9993-504
2nd row서울특별시 은평구 진관동 9993-306
3rd row서울특별시 은평구 진관동 9993-404번지
4th row서울특별시 은평구 진관동 9991-815번지
5th row서울특별시 은평구 진관동 195-6번지
ValueCountFrequency (%)
서울특별시 31
24.0%
은평구 31
24.0%
진관동 30
23.3%
2층 2
 
1.6%
211-27 1
 
0.8%
191-3 1
 
0.8%
이리루 1
 
0.8%
193-5 1
 
0.8%
비자인 1
 
0.8%
한옥 1
 
0.8%
Other values (29) 29
22.5%
2024-05-11T07:01:07.425546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
15.2%
1 43
 
6.7%
9 33
 
5.1%
서 31
 
4.8%
구 31
 
4.8%
울 31
 
4.8%
- 31
 
4.8%
동 31
 
4.8%
평 31
 
4.8%
은 31
 
4.8%
Other values (26) 254
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
57.2%
Decimal Number 147
 
22.8%
Space Separator 98
 
15.2%
Dash Punctuation 31
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 31
8.4%
구 31
8.4%
울 31
8.4%
동 31
8.4%
평 31
8.4%
은 31
8.4%
시 31
8.4%
별 31
8.4%
특 31
8.4%
진 30
8.1%
Other values (14) 60
16.3%
Decimal Number
ValueCountFrequency (%)
1 43
29.3%
9 33
22.4%
2 16
 
10.9%
5 12
 
8.2%
3 10
 
6.8%
4 10
 
6.8%
0 8
 
5.4%
7 5
 
3.4%
6 5
 
3.4%
8 5
 
3.4%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
57.2%
Common 276
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 31
8.4%
구 31
8.4%
울 31
8.4%
동 31
8.4%
평 31
8.4%
은 31
8.4%
시 31
8.4%
별 31
8.4%
특 31
8.4%
진 30
8.1%
Other values (14) 60
16.3%
Common
ValueCountFrequency (%)
98
35.5%
1 43
15.6%
9 33
 
12.0%
- 31
 
11.2%
2 16
 
5.8%
5 12
 
4.3%
3 10
 
3.6%
4 10
 
3.6%
0 8
 
2.9%
7 5
 
1.8%
Other values (2) 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
57.2%
ASCII 276
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
35.5%
1 43
15.6%
9 33
 
12.0%
- 31
 
11.2%
2 16
 
5.8%
5 12
 
4.3%
3 10
 
3.6%
4 10
 
3.6%
0 8
 
2.9%
7 5
 
1.8%
Other values (2) 10
 
3.6%
Hangul
ValueCountFrequency (%)
서 31
8.4%
구 31
8.4%
울 31
8.4%
동 31
8.4%
평 31
8.4%
은 31
8.4%
시 31
8.4%
별 31
8.4%
특 31
8.4%
진 30
8.1%
Other values (14) 60
16.3%

도로명주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing8
Missing (%)25.8%
Memory size380.0 B
2024-05-11T07:01:07.869762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length27.434783
Min length22

Characters and Unicode

Total characters631
Distinct characters49
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 진관길 21-3 (진관동)
2nd row서울특별시 은평구 진관길 11-30 (진관동)
3rd row서울특별시 은평구 진관길 11-11 (진관동)
4th row서울특별시 은평구 연서로50길 7-12 (진관동)
5th row서울특별시 은평구 연서로50길 7 (진관동)
ValueCountFrequency (%)
서울특별시 23
18.4%
은평구 23
18.4%
진관동 22
17.6%
연서로50길 15
12.0%
진관길 7
 
5.6%
2층 3
 
2.4%
11-7 2
 
1.6%
17-5 1
 
0.8%
11 1
 
0.8%
예맥당 1
 
0.8%
Other values (27) 27
21.6%
2024-05-11T07:01:08.871250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
16.2%
서 38
 
6.0%
1 32
 
5.1%
관 29
 
4.6%
진 29
 
4.6%
시 23
 
3.6%
은 23
 
3.6%
평 23
 
3.6%
구 23
 
3.6%
) 23
 
3.6%
Other values (39) 286
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
56.9%
Space Separator 102
 
16.2%
Decimal Number 100
 
15.8%
Close Punctuation 23
 
3.6%
Open Punctuation 23
 
3.6%
Dash Punctuation 17
 
2.7%
Other Punctuation 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
 
10.6%
관 29
 
8.1%
진 29
 
8.1%
시 23
 
6.4%
은 23
 
6.4%
평 23
 
6.4%
구 23
 
6.4%
별 23
 
6.4%
길 23
 
6.4%
울 23
 
6.4%
Other values (24) 102
28.4%
Decimal Number
ValueCountFrequency (%)
1 32
32.0%
5 18
18.0%
0 17
17.0%
2 11
 
11.0%
7 8
 
8.0%
4 5
 
5.0%
3 4
 
4.0%
6 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
56.9%
Common 272
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
 
10.6%
관 29
 
8.1%
진 29
 
8.1%
시 23
 
6.4%
은 23
 
6.4%
평 23
 
6.4%
구 23
 
6.4%
별 23
 
6.4%
길 23
 
6.4%
울 23
 
6.4%
Other values (24) 102
28.4%
Common
ValueCountFrequency (%)
102
37.5%
1 32
 
11.8%
) 23
 
8.5%
( 23
 
8.5%
5 18
 
6.6%
0 17
 
6.2%
- 17
 
6.2%
2 11
 
4.0%
7 8
 
2.9%
, 7
 
2.6%
Other values (5) 14
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
56.9%
ASCII 272
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
37.5%
1 32
 
11.8%
) 23
 
8.5%
( 23
 
8.5%
5 18
 
6.6%
0 17
 
6.2%
- 17
 
6.2%
2 11
 
4.0%
7 8
 
2.9%
, 7
 
2.6%
Other values (5) 14
 
5.1%
Hangul
ValueCountFrequency (%)
서 38
 
10.6%
관 29
 
8.1%
진 29
 
8.1%
시 23
 
6.4%
은 23
 
6.4%
평 23
 
6.4%
구 23
 
6.4%
별 23
 
6.4%
길 23
 
6.4%
울 23
 
6.4%
Other values (24) 102
28.4%

도로명우편번호
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
3308
19 
<NA>
11 
3475
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
3308 19
61.3%
<NA> 11
35.5%
3475 1
 
3.2%

Length

2024-05-11T07:01:09.234209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:09.454550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3308 19
61.3%
na 11
35.5%
3475 1
 
3.2%

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T07:01:09.901035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.7096774
Min length3

Characters and Unicode

Total characters146
Distinct characters84
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row은평한옥'학산루'
2nd rowHealing Hanok 채효당
3rd row은화당
4th row응정헌
5th row일루와유 달보루
ValueCountFrequency (%)
한옥스테이 2
 
5.1%
한옥 2
 
5.1%
은평한옥'학산루 1
 
2.6%
생활서가 1
 
2.6%
상상헌 1
 
2.6%
시락당 1
 
2.6%
주)이리루 1
 
2.6%
비자인 1
 
2.6%
담서제 1
 
2.6%
무무헌 1
 
2.6%
Other values (27) 27
69.2%
2024-05-11T07:01:10.866468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.5%
한 7
 
4.8%
헌 5
 
3.4%
옥 5
 
3.4%
재 5
 
3.4%
루 5
 
3.4%
당 5
 
3.4%
인 3
 
2.1%
이 3
 
2.1%
채 3
 
2.1%
Other values (74) 97
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
83.6%
Lowercase Letter 10
 
6.8%
Space Separator 8
 
5.5%
Uppercase Letter 2
 
1.4%
Other Punctuation 2
 
1.4%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 7
 
5.7%
헌 5
 
4.1%
옥 5
 
4.1%
재 5
 
4.1%
루 5
 
4.1%
당 5
 
4.1%
인 3
 
2.5%
이 3
 
2.5%
채 3
 
2.5%
가 2
 
1.6%
Other values (61) 79
64.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
n 2
20.0%
e 1
10.0%
l 1
10.0%
k 1
10.0%
o 1
10.0%
g 1
10.0%
i 1
10.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
83.6%
Common 12
 
8.2%
Latin 12
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 7
 
5.7%
헌 5
 
4.1%
옥 5
 
4.1%
재 5
 
4.1%
루 5
 
4.1%
당 5
 
4.1%
인 3
 
2.5%
이 3
 
2.5%
채 3
 
2.5%
가 2
 
1.6%
Other values (61) 79
64.8%
Latin
ValueCountFrequency (%)
a 2
16.7%
H 2
16.7%
n 2
16.7%
e 1
8.3%
l 1
8.3%
k 1
8.3%
o 1
8.3%
g 1
8.3%
i 1
8.3%
Common
ValueCountFrequency (%)
8
66.7%
' 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
83.6%
ASCII 24
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
33.3%
a 2
 
8.3%
H 2
 
8.3%
n 2
 
8.3%
' 2
 
8.3%
( 1
 
4.2%
) 1
 
4.2%
e 1
 
4.2%
l 1
 
4.2%
k 1
 
4.2%
Other values (3) 3
 
12.5%
Hangul
ValueCountFrequency (%)
한 7
 
5.7%
헌 5
 
4.1%
옥 5
 
4.1%
재 5
 
4.1%
루 5
 
4.1%
당 5
 
4.1%
인 3
 
2.5%
이 3
 
2.5%
채 3
 
2.5%
가 2
 
1.6%
Other values (61) 79
64.8%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2019-09-30 10:10:18
Maximum2024-05-02 11:16:41
2024-05-11T07:01:11.316626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:11.768582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
I
16 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 16
51.6%
U 15
48.4%

Length

2024-05-11T07:01:12.205502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:12.620471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 16
51.6%
u 15
48.4%

데이터갱신일자
Date

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2020-06-17 00:23:27
Maximum2023-12-05 00:04:00
2024-05-11T07:01:13.039737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:13.534385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean194009.03
Minimum193262.7
Maximum194714.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T07:01:13.986512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193262.7
5-th percentile193374.21
Q1193506.38
median193854.89
Q3194570.53
95-th percentile194658.9
Maximum194714.1
Range1451.3985
Interquartile range (IQR)1064.1476

Descriptive statistics

Standard deviation541.75898
Coefficient of variation (CV)0.0027924421
Kurtosis-1.898202
Mean194009.03
Median Absolute Deviation (MAD)472.37502
Skewness0.12196133
Sum5820270.8
Variance293502.79
MonotonicityNot monotonic
2024-05-11T07:01:14.510298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
194714.102858475 1
 
3.2%
193563.690149 1
 
3.2%
194643.97516348 1
 
3.2%
194520.220404198 1
 
3.2%
194619.695145738 1
 
3.2%
193299.496761968 1
 
3.2%
194560.375145005 1
 
3.2%
194536.544599869 1
 
3.2%
194564.698225813 1
 
3.2%
194671.115351113 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
193262.704369 1
3.2%
193299.496761968 1
3.2%
193465.5273 1
3.2%
193465.960291 1
3.2%
193469.923256 1
3.2%
193474.455904 1
3.2%
193503.428527 1
3.2%
193504.587414512 1
3.2%
193511.773649 1
3.2%
193523.770547859 1
3.2%
ValueCountFrequency (%)
194714.102858475 1
3.2%
194671.115351113 1
3.2%
194643.97516348 1
3.2%
194622.0 1
3.2%
194619.695145738 1
3.2%
194606.699978011 1
3.2%
194575.162012027 1
3.2%
194570.6485808 1
3.2%
194570.180481585 1
3.2%
194564.698225813 1
3.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean459312.33
Minimum454755.8
Maximum460101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T07:01:15.027653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum454755.8
5-th percentile459017.48
Q1459047.69
median459260.82
Q3459869.3
95-th percentile460051.75
Maximum460101
Range5345.2007
Interquartile range (IQR)821.60876

Descriptive statistics

Standard deviation951.12811
Coefficient of variation (CV)0.0020707655
Kurtosis19.107379
Mean459312.33
Median Absolute Deviation (MAD)243.1972
Skewness-3.9438307
Sum13779370
Variance904644.69
MonotonicityNot monotonic
2024-05-11T07:01:15.578749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
459936.299713821 1
 
3.2%
459051.186917 1
 
3.2%
459869.207703595 1
 
3.2%
459829.563555852 1
 
3.2%
459869.331819802 1
 
3.2%
454755.799293247 1
 
3.2%
460000.790922267 1
 
3.2%
459817.428630075 1
 
3.2%
459885.629695619 1
 
3.2%
459907.49994843 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
454755.799293247 1
3.2%
459016.162204 1
3.2%
459019.084515081 1
3.2%
459037.507477315 1
3.2%
459043.6218863 1
3.2%
459043.719321781 1
3.2%
459043.796963 1
3.2%
459046.527073 1
3.2%
459051.186917 1
3.2%
459109.995568 1
3.2%
ValueCountFrequency (%)
460101.0 1
3.2%
460093.446861386 1
3.2%
460000.790922267 1
3.2%
459936.299713821 1
3.2%
459907.49994843 1
3.2%
459895.880394877 1
3.2%
459885.629695619 1
3.2%
459869.331819802 1
3.2%
459869.207703595 1
3.2%
459829.563555852 1
3.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
17 
한옥체험업
14 

Length

Max length5
Median length4
Mean length4.4516129
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
54.8%
한옥체험업 14
45.2%

Length

2024-05-11T07:01:16.104019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:16.552363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
54.8%
한옥체험업 14
45.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing27
Missing (%)87.1%
Memory size380.0 B
2024-05-11T07:01:16.871883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters24
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row전용주거지역
2nd row전용주거지역
3rd row일반주거지역
4th row전용주거지역
ValueCountFrequency (%)
전용주거지역 3
75.0%
일반주거지역 1
 
25.0%
2024-05-11T07:01:17.838115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
16.7%
거 4
16.7%
지 4
16.7%
역 4
16.7%
전 3
12.5%
용 3
12.5%
일 1
 
4.2%
반 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
16.7%
거 4
16.7%
지 4
16.7%
역 4
16.7%
전 3
12.5%
용 3
12.5%
일 1
 
4.2%
반 1
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
16.7%
거 4
16.7%
지 4
16.7%
역 4
16.7%
전 3
12.5%
용 3
12.5%
일 1
 
4.2%
반 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
16.7%
거 4
16.7%
지 4
16.7%
역 4
16.7%
전 3
12.5%
용 3
12.5%
일 1
 
4.2%
반 1
 
4.2%

총층수
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
24 
2
5 
0
 
2

Length

Max length4
Median length4
Mean length3.3225806
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
77.4%
2 5
 
16.1%
0 2
 
6.5%

Length

2024-05-11T07:01:18.310744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:18.826380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
2 5
 
16.1%
0 2
 
6.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
2024-05-11T07:01:19.123262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-05-11T07:01:20.075023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

건물용도명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
단독주택
4 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
단독주택 4
 
12.9%

Length

2024-05-11T07:01:20.677142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:21.079673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
단독주택 4
 
12.9%

지상층수
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
0
3 
1
3 
2
 
2

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
0 3
 
9.7%
1 3
 
9.7%
2 2
 
6.5%

Length

2024-05-11T07:01:21.567024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:22.063090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
0 3
 
9.7%
1 3
 
9.7%
2 2
 
6.5%

지하층수
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
3 
1
3 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 3
 
9.7%
1 3
 
9.7%

Length

2024-05-11T07:01:22.596482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:23.074044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 3
 
9.7%
1 3
 
9.7%

객실수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:23.580017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:24.059318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

건축연면적
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:24.644605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:25.036334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing29
Missing (%)93.5%
Memory size380.0 B
2024-05-11T07:01:25.423447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length32
Min length18

Characters and Unicode

Total characters64
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowBukhansan Dulle-gil Traditional Korean housing
2nd rowIlluwaayou Dalboro
ValueCountFrequency (%)
bukhansan 1
14.3%
dulle-gil 1
14.3%
traditional 1
14.3%
korean 1
14.3%
housing 1
14.3%
illuwaayou 1
14.3%
dalboro 1
14.3%
2024-05-11T07:01:26.606565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 8
12.5%
l 7
10.9%
o 6
 
9.4%
n 5
 
7.8%
u 5
 
7.8%
5
 
7.8%
i 4
 
6.2%
r 3
 
4.7%
g 2
 
3.1%
e 2
 
3.1%
Other values (14) 17
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52
81.2%
Uppercase Letter 6
 
9.4%
Space Separator 5
 
7.8%
Dash Punctuation 1
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
15.4%
l 7
13.5%
o 6
11.5%
n 5
9.6%
u 5
9.6%
i 4
7.7%
r 3
 
5.8%
g 2
 
3.8%
e 2
 
3.8%
s 2
 
3.8%
Other values (7) 8
15.4%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
I 1
16.7%
K 1
16.7%
B 1
16.7%
T 1
16.7%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58
90.6%
Common 6
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
13.8%
l 7
12.1%
o 6
10.3%
n 5
 
8.6%
u 5
 
8.6%
i 4
 
6.9%
r 3
 
5.2%
g 2
 
3.4%
e 2
 
3.4%
D 2
 
3.4%
Other values (12) 14
24.1%
Common
ValueCountFrequency (%)
5
83.3%
- 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 8
12.5%
l 7
10.9%
o 6
 
9.4%
n 5
 
7.8%
u 5
 
7.8%
5
 
7.8%
i 4
 
6.2%
r 3
 
4.7%
g 2
 
3.1%
e 2
 
3.1%
Other values (14) 17
26.6%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size380.0 B
2024-05-11T07:01:27.178006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length46
Mean length46
Min length46

Characters and Unicode

Total characters92
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTraditional Korean housing experience business
2nd rowTraditional Korean housing experience business
ValueCountFrequency (%)
traditional 2
20.0%
korean 2
20.0%
housing 2
20.0%
experience 2
20.0%
business 2
20.0%
2024-05-11T07:01:28.251624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 12
13.0%
i 10
10.9%
n 10
10.9%
s 8
 
8.7%
8
 
8.7%
a 6
 
6.5%
o 6
 
6.5%
r 6
 
6.5%
u 4
 
4.3%
T 2
 
2.2%
Other values (10) 20
21.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 80
87.0%
Space Separator 8
 
8.7%
Uppercase Letter 4
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 12
15.0%
i 10
12.5%
n 10
12.5%
s 8
10.0%
a 6
7.5%
o 6
7.5%
r 6
7.5%
u 4
 
5.0%
c 2
 
2.5%
p 2
 
2.5%
Other values (7) 14
17.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
K 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 84
91.3%
Common 8
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 12
14.3%
i 10
11.9%
n 10
11.9%
s 8
9.5%
a 6
 
7.1%
o 6
 
7.1%
r 6
 
7.1%
u 4
 
4.8%
T 2
 
2.4%
c 2
 
2.4%
Other values (9) 18
21.4%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 12
13.0%
i 10
10.9%
n 10
10.9%
s 8
 
8.7%
8
 
8.7%
a 6
 
6.5%
o 6
 
6.5%
r 6
 
6.5%
u 4
 
4.3%
T 2
 
2.2%
Other values (10) 20
21.7%

선박총톤수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:29.115479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:29.543151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

선박척수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:30.159235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:30.545393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

무대면적
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:30.991776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:31.573614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

좌석수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:32.062884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:32.615426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:33.378453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:33.832181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing21
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean112.999
Minimum0
Maximum188.5
Zeros2
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T07:01:34.211951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192.97
median135.575
Q3149.2425
95-th percentile177.9655
Maximum188.5
Range188.5
Interquartile range (IQR)56.2725

Descriptive statistics

Standard deviation65.574077
Coefficient of variation (CV)0.58030671
Kurtosis0.035901028
Mean112.999
Median Absolute Deviation (MAD)22.55
Skewness-1.1011503
Sum1129.99
Variance4299.9596
MonotonicityNot monotonic
2024-05-11T07:01:34.624403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 2
 
6.5%
143.49 1
 
3.2%
80.64 1
 
3.2%
188.5 1
 
3.2%
165.09 1
 
3.2%
133.56 1
 
3.2%
137.59 1
 
3.2%
129.96 1
 
3.2%
151.16 1
 
3.2%
(Missing) 21
67.7%
ValueCountFrequency (%)
0.0 2
6.5%
80.64 1
3.2%
129.96 1
3.2%
133.56 1
3.2%
137.59 1
3.2%
143.49 1
3.2%
151.16 1
3.2%
165.09 1
3.2%
188.5 1
3.2%
ValueCountFrequency (%)
188.5 1
3.2%
165.09 1
3.2%
151.16 1
3.2%
143.49 1
3.2%
137.59 1
3.2%
133.56 1
3.2%
129.96 1
3.2%
80.64 1
3.2%
0.0 2
6.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:35.073503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:35.397997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

자본금
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0
5 

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0 5
 
16.1%

Length

2024-05-11T07:01:35.777084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:36.138902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0 5
 
16.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing21
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean113.1
Minimum0
Maximum189
Zeros2
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T07:01:36.401417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193.25
median136
Q3149
95-th percentile178.2
Maximum189
Range189
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation65.609027
Coefficient of variation (CV)0.5800975
Kurtosis0.045724192
Mean113.1
Median Absolute Deviation (MAD)22
Skewness-1.1010755
Sum1131
Variance4304.5444
MonotonicityNot monotonic
2024-05-11T07:01:36.642409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
6.5%
143 1
 
3.2%
81 1
 
3.2%
189 1
 
3.2%
165 1
 
3.2%
134 1
 
3.2%
138 1
 
3.2%
130 1
 
3.2%
151 1
 
3.2%
(Missing) 21
67.7%
ValueCountFrequency (%)
0 2
6.5%
81 1
3.2%
130 1
3.2%
134 1
3.2%
138 1
3.2%
143 1
3.2%
151 1
3.2%
165 1
3.2%
189 1
3.2%
ValueCountFrequency (%)
189 1
3.2%
165 1
3.2%
151 1
3.2%
143 1
3.2%
138 1
3.2%
134 1
3.2%
130 1
3.2%
81 1
3.2%
0 2
6.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03110000CDFI22622220170000012017-07-24<NA>3폐업3폐업2023-12-05<NA>2023-12-05<NA><NA><NA><NA>서울특별시 은평구 진관동 9993-504서울특별시 은평구 진관길 21-3 (진관동)<NA>은평한옥'학산루'2023-12-04 13:27:45U2022-11-02 00:06:00.0<NA>194714.102858459936.299714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFI226222201800000120180512<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 9993-306서울특별시 은평구 진관길 11-30 (진관동)<NA>Healing Hanok 채효당2022-02-18 15:59:57U2022-02-20 02:40:00.0<NA>194622.0460101.0한옥체험업<NA>전용주거지역2주택가주변<NA><NA>단독주택0000<NA><NA>00<NA>00<NA>0143.49<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>143
23110000CDFI226222201800000220181120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 9993-404번지<NA><NA>은화당2020-06-26 17:47:03U2020-06-28 02:40:00.0<NA><NA><NA>한옥체험업<NA>전용주거지역<NA><NA><NA><NA>단독주택1<NA><NA><NA>Bukhansan Dulle-gil Traditional Korean housingTraditional Korean housing experience business<NA><NA><NA><NA><NA><NA><NA>80.64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81
33110000CDFI22622220190000012019-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 9991-815번지<NA><NA>응정헌2023-02-23 09:05:25U2022-12-04 22:06:00.0<NA>194606.699978459765.454612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFI226222201900000220190715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 195-6번지<NA><NA>일루와유 달보루2019-09-30 10:10:18I2020-06-17 00:23:27.0<NA>193557.932857459043.621886한옥체험업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Illuwaayou DalboroTraditional Korean housing experience business<NA><NA><NA><NA><NA><NA><NA>188.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>189
53110000CDFI226222201900000320190830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 198-13번지<NA><NA>청향재2023-01-18 09:18:04U2022-11-30 22:00:00.0<NA>193714.728741459043.719322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFI226222201900000420191104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 211-1번지<NA><NA>홍유가인2021-12-04 14:06:01U2021-12-07 02:40:00.0<NA>193819.871243459200.133335한옥체험업<NA>일반주거지역2<NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165
73110000CDFI226222201900000520191115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 190-1번지<NA><NA>덕선재2019-11-22 10:38:08I2020-06-17 00:23:27.0<NA>193474.455904459043.796963한옥체험업<NA>전용주거지역2<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>133.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>134
83110000CDFI226222202000000120200302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 182-1번지<NA><NA>예담헌2020-05-19 16:40:07I2020-06-17 00:23:27.0<NA>193262.704369459016.162204한옥체험업<NA><NA><NA><NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFI226222202000000220200302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 190-2번지<NA><NA>세연재2020-03-18 12:20:55I2020-06-17 00:23:27.0<NA>193504.587415459037.507477한옥체험업<NA><NA><NA><NA><NA><NA>단독주택<NA><NA><NA><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
213110000CDFI22622220220000022022-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 190-5서울특별시 은평구 연서로50길 15 (진관동)3308담서제2023-07-31 17:04:36U2022-12-08 00:02:00.0<NA>194570.180482459792.276421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223110000CDFI226222202200000320220506<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 211-27서울특별시 은평구 진관길 11-7 (진관동)3308생활서가2022-05-30 16:11:36U2021-12-06 00:04:00.0<NA>193898.194366459343.401072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233110000CDFI22622220220000042022-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 198-15서울특별시 은평구 진관길 22 (진관동)3308무무헌2023-07-19 10:00:24U2022-12-06 22:02:00.0<NA>194671.115351459907.499948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243110000CDFI22622220230000012023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-862-7901<NA><NA>서울특별시 은평구 진관동 193-14서울특별시 은평구 연서로50길 7-10, 인휴당 (진관동)3308인휴당2023-04-12 17:40:38I2022-12-03 23:04:00.0<NA>194564.698226459885.629696<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253110000CDFI22622220230000022023-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 194-8서울특별시 은평구 연서로50길 11, 예맥당 2층 (진관동)3308예맥당 한옥스테이2023-05-09 15:48:34U2022-12-04 23:01:00.0<NA>194536.5446459817.42863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263110000CDFI22622220230000032023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 205-6 2층서울특별시 은평구 진관길 5, 2층 (진관동)3308한옥 카키2023-09-21 17:16:01I2022-12-08 22:03:00.0<NA>194560.375145460000.790922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273110000CDFI22622220230000042023-11-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 227-65서울특별시 은평구 백련산로4길 17-5, 지층 2호 (응암동)3475백련산방2023-11-13 10:47:00I2022-10-31 23:05:00.0<NA>193299.496762454755.799293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283110000CDFI22622220230000052023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 192-4서울특별시 은평구 연서로50길 11-48 (진관동)3308다락재2023-11-24 17:22:12I2022-10-31 22:06:00.0<NA>194619.695146459869.33182<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293110000CDFI22622220240000012024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 194-6 2층서울특별시 은평구 연서로50길 9, 2층 (진관동)3308평안채2024-05-01 17:13:28I2023-12-05 00:04:00.0<NA>194520.220404459829.563556<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303110000CDFI22622220240000022024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 191-5서울특별시 은평구 연서로50길 11-26 (진관동)3308귀한그대 한옥스테이2024-05-02 11:16:41I2023-12-05 00:04:00.0<NA>194643.975163459869.207704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>