Overview

Dataset statistics

Number of variables61
Number of observations33
Missing cells844
Missing cells (%)41.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory532.0 B

Variable types

Categorical19
Text9
DateTime3
Unsupported19
Numeric11

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,관광숙박업상세명
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17415/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
선박총톤수 is highly imbalanced (67.0%)Imbalance
선박척수 is highly imbalanced (67.0%)Imbalance
무대면적 is highly imbalanced (67.0%)Imbalance
좌석수 is highly imbalanced (67.0%)Imbalance
회의실별동시수용인원 is highly imbalanced (67.0%)Imbalance
놀이시설수 is highly imbalanced (67.0%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 23 (69.7%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 3 (9.1%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 26 (78.8%) missing valuesMissing
도로명주소 has 1 (3.0%) missing valuesMissing
도로명우편번호 has 2 (6.1%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.0%) missing valuesMissing
좌표정보(Y) has 1 (3.0%) missing valuesMissing
총층수 has 13 (39.4%) missing valuesMissing
주변환경명 has 28 (84.8%) missing valuesMissing
제작취급품목내용 has 33 (100.0%) missing valuesMissing
보험기관명 has 16 (48.5%) missing valuesMissing
지상층수 has 13 (39.4%) missing valuesMissing
객실수 has 12 (36.4%) missing valuesMissing
건축연면적 has 14 (42.4%) missing valuesMissing
영문상호명 has 15 (45.5%) missing valuesMissing
선박제원 has 33 (100.0%) missing valuesMissing
기념품종류 has 33 (100.0%) missing valuesMissing
시설면적 has 13 (39.4%) missing valuesMissing
놀이기구수내역 has 33 (100.0%) missing valuesMissing
방송시설유무 has 33 (100.0%) missing valuesMissing
발전시설유무 has 33 (100.0%) missing valuesMissing
의무실유무 has 33 (100.0%) missing valuesMissing
안내소유무 has 33 (100.0%) missing valuesMissing
기획여행보험시작일자 has 33 (100.0%) missing valuesMissing
기획여행보험종료일자 has 33 (100.0%) missing valuesMissing
자본금 has 23 (69.7%) missing valuesMissing
보험시작일자 has 33 (100.0%) missing valuesMissing
보험종료일자 has 33 (100.0%) missing valuesMissing
부대시설내역 has 33 (100.0%) missing valuesMissing
시설규모 has 13 (39.4%) 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
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
자본금 has 1 (3.0%) zerosZeros

Reproduction

Analysis started2024-05-11 01:06:04.780728
Analysis finished2024-05-11 01:06:06.012753
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3130000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 33
100.0%

Length

2024-05-11T01:06:06.206221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:06.507636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 33
100.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T01:06:06.876570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters660
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031979000001
2nd rowCDFI2260031999000001
3rd rowCDFI2260032001000001
4th rowCDFI2260032004000001
5th rowCDFI2260032005000001
ValueCountFrequency (%)
cdfi2260031979000001 1
 
3.0%
cdfi2260032016000004 1
 
3.0%
cdfi2260032022000001 1
 
3.0%
cdfi2260032021000003 1
 
3.0%
cdfi2260032021000002 1
 
3.0%
cdfi2260032021000001 1
 
3.0%
cdfi2260032020000001 1
 
3.0%
cdfi2260032019000001 1
 
3.0%
cdfi2260032018000004 1
 
3.0%
cdfi2260032018000003 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T01:06:07.742818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 267
40.5%
2 113
17.1%
1 47
 
7.1%
3 40
 
6.1%
6 38
 
5.8%
C 33
 
5.0%
D 33
 
5.0%
F 33
 
5.0%
I 33
 
5.0%
9 7
 
1.1%
Other values (4) 16
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
80.0%
Uppercase Letter 132
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 267
50.6%
2 113
21.4%
1 47
 
8.9%
3 40
 
7.6%
6 38
 
7.2%
9 7
 
1.3%
4 5
 
0.9%
7 4
 
0.8%
8 4
 
0.8%
5 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 33
25.0%
D 33
25.0%
F 33
25.0%
I 33
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
80.0%
Latin 132
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 267
50.6%
2 113
21.4%
1 47
 
8.9%
3 40
 
7.6%
6 38
 
7.2%
9 7
 
1.3%
4 5
 
0.9%
7 4
 
0.8%
8 4
 
0.8%
5 3
 
0.6%
Latin
ValueCountFrequency (%)
C 33
25.0%
D 33
25.0%
F 33
25.0%
I 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 267
40.5%
2 113
17.1%
1 47
 
7.1%
3 40
 
6.1%
6 38
 
5.8%
C 33
 
5.0%
D 33
 
5.0%
F 33
 
5.0%
I 33
 
5.0%
9 7
 
1.1%
Other values (4) 16
 
2.4%

인허가일자
Date

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1979-08-02 00:00:00
Maximum2023-06-30 00:00:00
2024-05-11T01:06:08.077039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:06:08.531695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
23 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
69.7%
3 10
30.3%

Length

2024-05-11T01:06:08.920160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:09.221848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
69.7%
3 10
30.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
23 
폐업
10 

Length

Max length5
Median length5
Mean length4.0909091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 23
69.7%
폐업 10
30.3%

Length

2024-05-11T01:06:09.432244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:09.651902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 23
69.7%
폐업 10
30.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
13
23 
3
10 

Length

Max length2
Median length2
Mean length1.6969697
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 23
69.7%
3 10
30.3%

Length

2024-05-11T01:06:09.980211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:10.328052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 23
69.7%
3 10
30.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
23 
폐업
10 

Length

Max length3
Median length3
Mean length2.6969697
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 23
69.7%
폐업 10
30.3%

Length

2024-05-11T01:06:10.672866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:10.958686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 23
69.7%
폐업 10
30.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing23
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean20189521
Minimum20040422
Maximum20220706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:11.194887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040422
5-th percentile20099241
Q120185402
median20210627
Q320220188
95-th percentile20220482
Maximum20220706
Range180284
Interquartile range (IQR)34786

Descriptive statistics

Standard deviation55427.012
Coefficient of variation (CV)0.0027453357
Kurtosis7.1959717
Mean20189521
Median Absolute Deviation (MAD)9640
Skewness-2.5881069
Sum2.0189521 × 108
Variance3.0721537 × 109
MonotonicityNot monotonic
2024-05-11T01:06:11.570972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20220127 2
 
6.1%
20040422 1
 
3.0%
20201127 1
 
3.0%
20171130 1
 
3.0%
20180226 1
 
3.0%
20220208 1
 
3.0%
20220706 1
 
3.0%
20200929 1
 
3.0%
20220209 1
 
3.0%
(Missing) 23
69.7%
ValueCountFrequency (%)
20040422 1
3.0%
20171130 1
3.0%
20180226 1
3.0%
20200929 1
3.0%
20201127 1
3.0%
20220127 2
6.1%
20220208 1
3.0%
20220209 1
3.0%
20220706 1
3.0%
ValueCountFrequency (%)
20220706 1
3.0%
20220209 1
3.0%
20220208 1
3.0%
20220127 2
6.1%
20201127 1
3.0%
20200929 1
3.0%
20180226 1
3.0%
20171130 1
3.0%
20040422 1
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing3
Missing (%)9.1%
Memory size396.0 B
2024-05-11T01:06:11.988098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.266667
Min length8

Characters and Unicode

Total characters308
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row02-717-9441
2nd row332-1122
3rd row3143-4595
4th row330-7777
5th row338-0018
ValueCountFrequency (%)
02 3
 
8.1%
023238811 1
 
2.7%
02-3141-8800 1
 
2.7%
0505-068-7207 1
 
2.7%
3704-8465 1
 
2.7%
2289-1000 1
 
2.7%
330-7872 1
 
2.7%
3307570 1
 
2.7%
027682661 1
 
2.7%
3941 1
 
2.7%
Other values (25) 25
67.6%
2024-05-11T01:06:12.776106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 71
23.1%
3 41
13.3%
2 38
12.3%
- 35
11.4%
1 27
 
8.8%
7 22
 
7.1%
6 19
 
6.2%
4 12
 
3.9%
8 12
 
3.9%
10
 
3.2%
Other values (3) 21
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
85.1%
Dash Punctuation 35
 
11.4%
Space Separator 10
 
3.2%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
27.1%
3 41
15.6%
2 38
14.5%
1 27
 
10.3%
7 22
 
8.4%
6 19
 
7.3%
4 12
 
4.6%
8 12
 
4.6%
9 10
 
3.8%
5 10
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 71
23.1%
3 41
13.3%
2 38
12.3%
- 35
11.4%
1 27
 
8.8%
7 22
 
7.1%
6 19
 
6.2%
4 12
 
3.9%
8 12
 
3.9%
10
 
3.2%
Other values (3) 21
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 71
23.1%
3 41
13.3%
2 38
12.3%
- 35
11.4%
1 27
 
8.8%
7 22
 
7.1%
6 19
 
6.2%
4 12
 
3.9%
8 12
 
3.9%
10
 
3.2%
Other values (3) 21
 
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing26
Missing (%)78.8%
Memory size396.0 B
2024-05-11T01:06:13.148408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters43
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row121885
2nd row121838
3rd row121807
4th row121843
5th row121893
ValueCountFrequency (%)
121885 1
14.3%
121838 1
14.3%
121807 1
14.3%
121843 1
14.3%
121893 1
14.3%
121-893 1
14.3%
121210 1
14.3%
2024-05-11T01:06:13.896746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15
34.9%
2 8
18.6%
8 8
18.6%
3 4
 
9.3%
0 2
 
4.7%
9 2
 
4.7%
5 1
 
2.3%
7 1
 
2.3%
4 1
 
2.3%
- 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
97.7%
Dash Punctuation 1
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
35.7%
2 8
19.0%
8 8
19.0%
3 4
 
9.5%
0 2
 
4.8%
9 2
 
4.8%
5 1
 
2.4%
7 1
 
2.4%
4 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
34.9%
2 8
18.6%
8 8
18.6%
3 4
 
9.3%
0 2
 
4.7%
9 2
 
4.7%
5 1
 
2.3%
7 1
 
2.3%
4 1
 
2.3%
- 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15
34.9%
2 8
18.6%
8 8
18.6%
3 4
 
9.3%
0 2
 
4.7%
9 2
 
4.7%
5 1
 
2.3%
7 1
 
2.3%
4 1
 
2.3%
- 1
 
2.3%

지번주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T01:06:14.350836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length22.727273
Min length17

Characters and Unicode

Total characters750
Distinct characters86
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 도화동 169-1
2nd row서울특별시 마포구 합정동 381-17번지
3rd row서울특별시 마포구 서교동 377-1
4th row서울특별시 마포구 서교동 354-5번지
5th row서울특별시 마포구 합정동 382-17번지
ValueCountFrequency (%)
서울특별시 33
22.6%
마포구 33
22.6%
서교동 11
 
7.5%
동교동 6
 
4.1%
도화동 4
 
2.7%
합정동 3
 
2.1%
노고산동 2
 
1.4%
망원동 2
 
1.4%
354-5 1
 
0.7%
190-1번지 1
 
0.7%
Other values (50) 50
34.2%
2024-05-11T01:06:15.327248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
18.0%
서 45
 
6.0%
동 39
 
5.2%
마 34
 
4.5%
포 34
 
4.5%
구 33
 
4.4%
울 33
 
4.4%
시 33
 
4.4%
별 33
 
4.4%
특 33
 
4.4%
Other values (76) 298
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
58.0%
Decimal Number 137
 
18.3%
Space Separator 135
 
18.0%
Dash Punctuation 28
 
3.7%
Uppercase Letter 15
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
10.3%
동 39
 
9.0%
마 34
 
7.8%
포 34
 
7.8%
구 33
 
7.6%
울 33
 
7.6%
시 33
 
7.6%
별 33
 
7.6%
특 33
 
7.6%
교 17
 
3.9%
Other values (54) 101
23.2%
Decimal Number
ValueCountFrequency (%)
1 26
19.0%
3 20
14.6%
5 19
13.9%
7 18
13.1%
4 12
8.8%
2 10
 
7.3%
0 10
 
7.3%
9 9
 
6.6%
6 8
 
5.8%
8 5
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
L 3
20.0%
R 2
13.3%
T 1
 
6.7%
O 1
 
6.7%
H 1
 
6.7%
M 1
 
6.7%
U 1
 
6.7%
C 1
 
6.7%
J 1
 
6.7%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
58.0%
Common 300
40.0%
Latin 15
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
10.3%
동 39
 
9.0%
마 34
 
7.8%
포 34
 
7.8%
구 33
 
7.6%
울 33
 
7.6%
시 33
 
7.6%
별 33
 
7.6%
특 33
 
7.6%
교 17
 
3.9%
Other values (54) 101
23.2%
Common
ValueCountFrequency (%)
135
45.0%
- 28
 
9.3%
1 26
 
8.7%
3 20
 
6.7%
5 19
 
6.3%
7 18
 
6.0%
4 12
 
4.0%
2 10
 
3.3%
0 10
 
3.3%
9 9
 
3.0%
Other values (2) 13
 
4.3%
Latin
ValueCountFrequency (%)
E 3
20.0%
L 3
20.0%
R 2
13.3%
T 1
 
6.7%
O 1
 
6.7%
H 1
 
6.7%
M 1
 
6.7%
U 1
 
6.7%
C 1
 
6.7%
J 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
58.0%
ASCII 315
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
42.9%
- 28
 
8.9%
1 26
 
8.3%
3 20
 
6.3%
5 19
 
6.0%
7 18
 
5.7%
4 12
 
3.8%
2 10
 
3.2%
0 10
 
3.2%
9 9
 
2.9%
Other values (12) 28
 
8.9%
Hangul
ValueCountFrequency (%)
서 45
10.3%
동 39
 
9.0%
마 34
 
7.8%
포 34
 
7.8%
구 33
 
7.6%
울 33
 
7.6%
시 33
 
7.6%
별 33
 
7.6%
특 33
 
7.6%
교 17
 
3.9%
Other values (54) 101
23.2%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-05-11T01:06:15.782792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34.5
Mean length27.75
Min length22

Characters and Unicode

Total characters888
Distinct characters117
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 마포구 마포대로 58 (도화동, 가든호텔)
2nd row서울특별시 마포구 잔다리로 67 (서교동, 유양관광호텔)
3rd row서울특별시 마포구 양화로 130 (서교동)
4th row서울특별시 마포구 양화로 15 (합정동, 호텔써클)
5th row서울특별시 마포구 마포대로 109 (공덕동, 롯데캐슬프레지던트)
ValueCountFrequency (%)
서울특별시 32
17.8%
마포구 32
17.8%
서교동 11
 
6.1%
양화로 10
 
5.6%
마포대로 6
 
3.3%
동교동 6
 
3.3%
도화동 4
 
2.2%
동교로 3
 
1.7%
31 3
 
1.7%
130 2
 
1.1%
Other values (64) 71
39.4%
2024-05-11T01:06:16.664092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
16.7%
서 46
 
5.2%
동 41
 
4.6%
포 40
 
4.5%
마 39
 
4.4%
울 32
 
3.6%
특 32
 
3.6%
별 32
 
3.6%
시 32
 
3.6%
구 32
 
3.6%
Other values (107) 414
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
62.3%
Space Separator 148
 
16.7%
Decimal Number 91
 
10.2%
Close Punctuation 32
 
3.6%
Open Punctuation 32
 
3.6%
Uppercase Letter 15
 
1.7%
Other Punctuation 13
 
1.5%
Dash Punctuation 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 46
 
8.3%
동 41
 
7.4%
포 40
 
7.2%
마 39
 
7.1%
울 32
 
5.8%
특 32
 
5.8%
별 32
 
5.8%
시 32
 
5.8%
구 32
 
5.8%
로 32
 
5.8%
Other values (81) 195
35.3%
Decimal Number
ValueCountFrequency (%)
1 26
28.6%
2 11
12.1%
3 9
 
9.9%
7 9
 
9.9%
4 7
 
7.7%
5 7
 
7.7%
8 7
 
7.7%
0 5
 
5.5%
6 5
 
5.5%
9 5
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
L 3
20.0%
R 2
13.3%
O 1
 
6.7%
H 1
 
6.7%
U 1
 
6.7%
C 1
 
6.7%
M 1
 
6.7%
J 1
 
6.7%
T 1
 
6.7%
Space Separator
ValueCountFrequency (%)
148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
62.3%
Common 320
36.0%
Latin 15
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 46
 
8.3%
동 41
 
7.4%
포 40
 
7.2%
마 39
 
7.1%
울 32
 
5.8%
특 32
 
5.8%
별 32
 
5.8%
시 32
 
5.8%
구 32
 
5.8%
로 32
 
5.8%
Other values (81) 195
35.3%
Common
ValueCountFrequency (%)
148
46.2%
) 32
 
10.0%
( 32
 
10.0%
1 26
 
8.1%
, 13
 
4.1%
2 11
 
3.4%
3 9
 
2.8%
7 9
 
2.8%
4 7
 
2.2%
5 7
 
2.2%
Other values (6) 26
 
8.1%
Latin
ValueCountFrequency (%)
E 3
20.0%
L 3
20.0%
R 2
13.3%
O 1
 
6.7%
H 1
 
6.7%
U 1
 
6.7%
C 1
 
6.7%
M 1
 
6.7%
J 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
62.3%
ASCII 335
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
44.2%
) 32
 
9.6%
( 32
 
9.6%
1 26
 
7.8%
, 13
 
3.9%
2 11
 
3.3%
3 9
 
2.7%
7 9
 
2.7%
4 7
 
2.1%
5 7
 
2.1%
Other values (16) 41
 
12.2%
Hangul
ValueCountFrequency (%)
서 46
 
8.3%
동 41
 
7.4%
포 40
 
7.2%
마 39
 
7.1%
울 32
 
5.8%
특 32
 
5.8%
별 32
 
5.8%
시 32
 
5.8%
구 32
 
5.8%
로 32
 
5.8%
Other values (81) 195
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)87.1%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean4051.8387
Minimum3922
Maximum4176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:17.036546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3922
5-th percentile3978.5
Q14005
median4038
Q34082
95-th percentile4168
Maximum4176
Range254
Interquartile range (IQR)77

Descriptive statistics

Standard deviation64.917947
Coefficient of variation (CV)0.016021849
Kurtosis-0.28175715
Mean4051.8387
Median Absolute Deviation (MAD)37
Skewness0.56761802
Sum125607
Variance4214.3398
MonotonicityNot monotonic
2024-05-11T01:06:17.355749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4038 3
 
9.1%
4168 2
 
6.1%
4043 2
 
6.1%
3922 1
 
3.0%
4058 1
 
3.0%
4002 1
 
3.0%
4176 1
 
3.0%
4050 1
 
3.0%
4157 1
 
3.0%
4084 1
 
3.0%
Other values (17) 17
51.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
3922 1
3.0%
3972 1
3.0%
3985 1
3.0%
3993 1
3.0%
3994 1
3.0%
3995 1
3.0%
4001 1
3.0%
4002 1
3.0%
4008 1
3.0%
4015 1
3.0%
ValueCountFrequency (%)
4176 1
3.0%
4168 2
6.1%
4157 1
3.0%
4156 1
3.0%
4146 1
3.0%
4104 1
3.0%
4084 1
3.0%
4080 1
3.0%
4058 1
3.0%
4051 1
3.0%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T01:06:17.797036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.8484848
Min length3

Characters and Unicode

Total characters292
Distinct characters108
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

Unique33 ?
Unique (%)100.0%

Sample

1st row(주)서울가든
2nd row서서울관광호텔
3rd row호텔야자
4th row(주)아주호텔서교
5th row써클호텔
ValueCountFrequency (%)
호텔 5
 
7.7%
서울 4
 
6.2%
마포 3
 
4.6%
홍대 3
 
4.6%
주)호텔롯데 2
 
3.1%
더 2
 
3.1%
주)서울가든 1
 
1.5%
인 1
 
1.5%
나인브릭 1
 
1.5%
에이치에비뉴 1
 
1.5%
Other values (42) 42
64.6%
2024-05-11T01:06:18.662063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
11.0%
호 21
 
7.2%
텔 21
 
7.2%
이 11
 
3.8%
서 11
 
3.8%
스 10
 
3.4%
울 7
 
2.4%
주 7
 
2.4%
대 6
 
2.1%
포 6
 
2.1%
Other values (98) 160
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
78.8%
Space Separator 32
 
11.0%
Uppercase Letter 10
 
3.4%
Lowercase Letter 7
 
2.4%
Close Punctuation 6
 
2.1%
Open Punctuation 6
 
2.1%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 21
 
9.1%
텔 21
 
9.1%
이 11
 
4.8%
서 11
 
4.8%
스 10
 
4.3%
울 7
 
3.0%
주 7
 
3.0%
대 6
 
2.6%
포 6
 
2.6%
홍 5
 
2.2%
Other values (81) 125
54.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
20.0%
O 2
20.0%
L 2
20.0%
U 1
10.0%
S 1
10.0%
A 1
10.0%
N 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
v 1
14.3%
e 1
14.3%
o 1
14.3%
u 1
14.3%
s 1
14.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
78.8%
Common 45
 
15.4%
Latin 17
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 21
 
9.1%
텔 21
 
9.1%
이 11
 
4.8%
서 11
 
4.8%
스 10
 
4.3%
울 7
 
3.0%
주 7
 
3.0%
대 6
 
2.6%
포 6
 
2.6%
홍 5
 
2.2%
Other values (81) 125
54.3%
Latin
ValueCountFrequency (%)
E 2
11.8%
O 2
11.8%
L 2
11.8%
l 2
11.8%
U 1
 
5.9%
S 1
 
5.9%
A 1
 
5.9%
v 1
 
5.9%
e 1
 
5.9%
o 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
32
71.1%
) 6
 
13.3%
( 6
 
13.3%
7 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
78.8%
ASCII 62
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
51.6%
) 6
 
9.7%
( 6
 
9.7%
E 2
 
3.2%
O 2
 
3.2%
L 2
 
3.2%
l 2
 
3.2%
7 1
 
1.6%
U 1
 
1.6%
S 1
 
1.6%
Other values (7) 7
 
11.3%
Hangul
ValueCountFrequency (%)
호 21
 
9.1%
텔 21
 
9.1%
이 11
 
4.8%
서 11
 
4.8%
스 10
 
4.3%
울 7
 
3.0%
주 7
 
3.0%
대 6
 
2.6%
포 6
 
2.6%
홍 5
 
2.2%
Other values (81) 125
54.3%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2004-04-23 16:23:24
Maximum2023-12-04 09:16:15
2024-05-11T01:06:18.991705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:06:19.566387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
U
25 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 25
75.8%
I 8
 
24.2%

Length

2024-05-11T01:06:19.914543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:20.181708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 25
75.8%
i 8
 
24.2%

데이터갱신일자
Date

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-09 00:03:00
2024-05-11T01:06:20.410514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:06:20.809482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean193261.89
Minimum189919.55
Maximum195616.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:21.260294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189919.55
5-th percentile191387.04
Q1192631.48
median192971.95
Q3193863.82
95-th percentile195520.68
Maximum195616.58
Range5697.0307
Interquartile range (IQR)1232.3415

Descriptive statistics

Standard deviation1351.2028
Coefficient of variation (CV)0.0069915637
Kurtosis0.15236698
Mean193261.89
Median Absolute Deviation (MAD)535.99496
Skewness0.11918117
Sum6184380.6
Variance1825749.1
MonotonicityNot monotonic
2024-05-11T01:06:21.634809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
192971.947727746 2
 
6.1%
195366.504486477 1
 
3.0%
193279.38663668 1
 
3.0%
192579.727675563 1
 
3.0%
195002.716187445 1
 
3.0%
193073.64466155 1
 
3.0%
195366.525965188 1
 
3.0%
192043.507297118 1
 
3.0%
192702.357899428 1
 
3.0%
191352.451615868 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
189919.550051873 1
3.0%
191352.451615868 1
3.0%
191415.339342271 1
3.0%
192043.507297118 1
3.0%
192044.052062349 1
3.0%
192282.955607289 1
3.0%
192579.727675563 1
3.0%
192584.698023412 1
3.0%
192647.075671686 1
3.0%
192701.409567082 1
3.0%
ValueCountFrequency (%)
195616.580723896 1
3.0%
195564.375757848 1
3.0%
195484.919869451 1
3.0%
195366.525965188 1
3.0%
195366.504486477 1
3.0%
195002.716187445 1
3.0%
194856.148175113 1
3.0%
194237.345664459 1
3.0%
193739.315165771 1
3.0%
193565.900355472 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean450107.7
Minimum448331.07
Maximum453342.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:21.962309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448331.07
5-th percentile448788.69
Q1449599.98
median450243.23
Q3450443.54
95-th percentile451145.51
Maximum453342.22
Range5011.1551
Interquartile range (IQR)843.55842

Descriptive statistics

Standard deviation915.01174
Coefficient of variation (CV)0.0020328729
Kurtosis4.1577616
Mean450107.7
Median Absolute Deviation (MAD)291.40863
Skewness0.98965379
Sum14403446
Variance837246.49
MonotonicityNot monotonic
2024-05-11T01:06:22.305016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
450243.232547428 2
 
6.1%
448716.823596557 1
 
3.0%
450637.276776739 1
 
3.0%
450446.890829184 1
 
3.0%
448331.067134872 1
 
3.0%
450341.82321403 1
 
3.0%
448847.482572649 1
 
3.0%
449524.361048163 1
 
3.0%
450008.91757619 1
 
3.0%
450172.007939868 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
448331.067134872 1
3.0%
448716.823596557 1
3.0%
448847.482572649 1
3.0%
448958.582313523 1
3.0%
448973.867131637 1
3.0%
449186.933273231 1
3.0%
449217.82970806 1
3.0%
449524.361048163 1
3.0%
449625.190175398 1
3.0%
449962.851191072 1
3.0%
ValueCountFrequency (%)
453342.222208599 1
3.0%
451304.996932629 1
3.0%
451015.020894903 1
3.0%
450805.577656258 1
3.0%
450637.276776739 1
3.0%
450550.232656274 1
3.0%
450545.668460987 1
3.0%
450446.890829184 1
3.0%
450442.424814188 1
3.0%
450387.023230304 1
3.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
관광숙박업
22 
<NA>
11 

Length

Max length5
Median length5
Mean length4.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 22
66.7%
<NA> 11
33.3%

Length

2024-05-11T01:06:22.531423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:22.812716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 22
66.7%
na 11
33.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
관광사업
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
84.8%
관광사업 5
 
15.2%

Length

2024-05-11T01:06:23.157685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:23.421597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
관광사업 5
 
15.2%

지역구분명
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
18 
일반주거지역
9 
일반상업지역
2 
근린상업지역
2 
상업지역
 
1

Length

Max length6
Median length4
Mean length4.8181818
Min length4

Unique

Unique2 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
54.5%
일반주거지역 9
27.3%
일반상업지역 2
 
6.1%
근린상업지역 2
 
6.1%
상업지역 1
 
3.0%
준주거지역 1
 
3.0%

Length

2024-05-11T01:06:23.804823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:24.132889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
54.5%
일반주거지역 9
27.3%
일반상업지역 2
 
6.1%
근린상업지역 2
 
6.1%
상업지역 1
 
3.0%
준주거지역 1
 
3.0%

총층수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing13
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean13.75
Minimum2
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:24.470648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q18
median13
Q318.25
95-th percentile26.1
Maximum28
Range26
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.3404073
Coefficient of variation (CV)0.5338478
Kurtosis-0.54659651
Mean13.75
Median Absolute Deviation (MAD)5
Skewness0.40115594
Sum275
Variance53.881579
MonotonicityNot monotonic
2024-05-11T01:06:24.815621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 2
 
6.1%
8 2
 
6.1%
14 2
 
6.1%
12 2
 
6.1%
28 1
 
3.0%
2 1
 
3.0%
19 1
 
3.0%
4 1
 
3.0%
20 1
 
3.0%
11 1
 
3.0%
Other values (6) 6
18.2%
(Missing) 13
39.4%
ValueCountFrequency (%)
2 1
3.0%
4 1
3.0%
6 2
6.1%
8 2
6.1%
10 1
3.0%
11 1
3.0%
12 2
6.1%
14 2
6.1%
15 1
3.0%
17 1
3.0%
ValueCountFrequency (%)
28 1
3.0%
26 1
3.0%
25 1
3.0%
20 1
3.0%
19 1
3.0%
18 1
3.0%
17 1
3.0%
15 1
3.0%
14 2
6.1%
12 2
6.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing28
Missing (%)84.8%
Memory size396.0 B
2024-05-11T01:06:25.137731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters25
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row기타
2nd row주택가주변
3rd row학교정화(상대)
4th row기타
5th row학교정화(상대)
ValueCountFrequency (%)
기타 2
40.0%
학교정화(상대 2
40.0%
주택가주변 1
20.0%
2024-05-11T01:06:25.746096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
 
8.0%
타 2
 
8.0%
학 2
 
8.0%
교 2
 
8.0%
정 2
 
8.0%
화 2
 
8.0%
( 2
 
8.0%
상 2
 
8.0%
대 2
 
8.0%
) 2
 
8.0%
Other values (4) 5
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
84.0%
Open Punctuation 2
 
8.0%
Close Punctuation 2
 
8.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
9.5%
타 2
9.5%
학 2
9.5%
교 2
9.5%
정 2
9.5%
화 2
9.5%
상 2
9.5%
대 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
84.0%
Common 4
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
9.5%
타 2
9.5%
학 2
9.5%
교 2
9.5%
정 2
9.5%
화 2
9.5%
상 2
9.5%
대 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
84.0%
ASCII 4
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
9.5%
타 2
9.5%
학 2
9.5%
교 2
9.5%
정 2
9.5%
화 2
9.5%
상 2
9.5%
대 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

보험기관명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing16
Missing (%)48.5%
Memory size396.0 B
2024-05-11T01:06:26.102291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.1764706
Min length2

Characters and Unicode

Total characters88
Distinct characters32
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

Unique17 ?
Unique (%)100.0%

Sample

1st row372실
2nd row42실,동부화재손해보험
3rd row40실
4th row3층~14층영업중,183실
5th row56실
ValueCountFrequency (%)
372실 1
 
5.6%
42실,동부화재손해보험 1
 
5.6%
24실 1
 
5.6%
274 1
 
5.6%
378 1
 
5.6%
94실 1
 
5.6%
94실(200명 1
 
5.6%
27실 1
 
5.6%
화재보험,27실 1
 
5.6%
현대해상 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T01:06:26.905635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 13
14.8%
2 8
 
9.1%
4 8
 
9.1%
3 6
 
6.8%
1 5
 
5.7%
7 5
 
5.7%
8 4
 
4.5%
0 4
 
4.5%
, 3
 
3.4%
9 3
 
3.4%
Other values (22) 29
33.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46
52.3%
Other Letter 35
39.8%
Other Punctuation 3
 
3.4%
Open Punctuation 1
 
1.1%
Space Separator 1
 
1.1%
Math Symbol 1
 
1.1%
Close Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 13
37.1%
험 2
 
5.7%
층 2
 
5.7%
해 2
 
5.7%
보 2
 
5.7%
재 2
 
5.7%
화 2
 
5.7%
현 1
 
2.9%
상 1
 
2.9%
대 1
 
2.9%
Other values (7) 7
20.0%
Decimal Number
ValueCountFrequency (%)
2 8
17.4%
4 8
17.4%
3 6
13.0%
1 5
10.9%
7 5
10.9%
8 4
8.7%
0 4
8.7%
9 3
 
6.5%
5 2
 
4.3%
6 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53
60.2%
Hangul 35
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 13
37.1%
험 2
 
5.7%
층 2
 
5.7%
해 2
 
5.7%
보 2
 
5.7%
재 2
 
5.7%
화 2
 
5.7%
현 1
 
2.9%
상 1
 
2.9%
대 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
2 8
15.1%
4 8
15.1%
3 6
11.3%
1 5
9.4%
7 5
9.4%
8 4
7.5%
0 4
7.5%
, 3
 
5.7%
9 3
 
5.7%
5 2
 
3.8%
Other values (5) 5
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
60.2%
Hangul 35
39.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 13
37.1%
험 2
 
5.7%
층 2
 
5.7%
해 2
 
5.7%
보 2
 
5.7%
재 2
 
5.7%
화 2
 
5.7%
현 1
 
2.9%
상 1
 
2.9%
대 1
 
2.9%
Other values (7) 7
20.0%
ASCII
ValueCountFrequency (%)
2 8
15.1%
4 8
15.1%
3 6
11.3%
1 5
9.4%
7 5
9.4%
8 4
7.5%
0 4
7.5%
, 3
 
5.7%
9 3
 
5.7%
5 2
 
3.8%
Other values (5) 5
9.4%

건물용도명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
19 
호텔
7 
숙박시설
6 
기타
 
1

Length

Max length4
Median length4
Mean length3.5151515
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
57.6%
호텔 7
 
21.2%
숙박시설 6
 
18.2%
기타 1
 
3.0%

Length

2024-05-11T01:06:27.204781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:27.553441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
57.6%
호텔 7
 
21.2%
숙박시설 6
 
18.2%
기타 1
 
3.0%

지상층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)70.0%
Missing13
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean46.55
Minimum1
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:27.865128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q17
median12
Q315.25
95-th percentile58.3
Maximum710
Range709
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation156.28633
Coefficient of variation (CV)3.3573864
Kurtosis19.924578
Mean46.55
Median Absolute Deviation (MAD)4.5
Skewness4.4601175
Sum931
Variance24425.418
MonotonicityNot monotonic
2024-05-11T01:06:28.250162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 2
 
6.1%
14 2
 
6.1%
10 2
 
6.1%
24 2
 
6.1%
12 2
 
6.1%
7 2
 
6.1%
15 1
 
3.0%
9 1
 
3.0%
1 1
 
3.0%
3 1
 
3.0%
Other values (4) 4
 
12.1%
(Missing) 13
39.4%
ValueCountFrequency (%)
1 1
3.0%
3 1
3.0%
5 2
6.1%
7 2
6.1%
9 1
3.0%
10 2
6.1%
12 2
6.1%
13 1
3.0%
14 2
6.1%
15 1
3.0%
ValueCountFrequency (%)
710 1
3.0%
24 2
6.1%
20 1
3.0%
16 1
3.0%
15 1
3.0%
14 2
6.1%
13 1
3.0%
12 2
6.1%
10 2
6.1%
9 1
3.0%

지하층수
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
15 
2
7 
1
7 
5
2 
3
 
1

Length

Max length4
Median length1
Mean length2.3636364
Min length1

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row2
2nd row<NA>
3rd row1
4th row<NA>
5th row3

Common Values

ValueCountFrequency (%)
<NA> 15
45.5%
2 7
21.2%
1 7
21.2%
5 2
 
6.1%
3 1
 
3.0%
4 1
 
3.0%

Length

2024-05-11T01:06:28.718612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:29.089399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
45.5%
2 7
21.2%
1 7
21.2%
5 2
 
6.1%
3 1
 
3.0%
4 1
 
3.0%

객실수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean132.57143
Minimum1
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:29.435466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q140
median69
Q3183
95-th percentile378
Maximum383
Range382
Interquartile range (IQR)143

Descriptive statistics

Standard deviation129.14046
Coefficient of variation (CV)0.97411981
Kurtosis-0.34148359
Mean132.57143
Median Absolute Deviation (MAD)45
Skewness1.0488588
Sum2784
Variance16677.257
MonotonicityNot monotonic
2024-05-11T01:06:29.831505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
94 2
 
6.1%
27 2
 
6.1%
40 1
 
3.0%
378 1
 
3.0%
68 1
 
3.0%
55 1
 
3.0%
69 1
 
3.0%
294 1
 
3.0%
24 1
 
3.0%
274 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
1 1
3.0%
18 1
3.0%
24 1
3.0%
27 2
6.1%
40 1
3.0%
42 1
3.0%
55 1
3.0%
56 1
3.0%
68 1
3.0%
69 1
3.0%
ValueCountFrequency (%)
383 1
3.0%
378 1
3.0%
372 1
3.0%
294 1
3.0%
274 1
3.0%
183 1
3.0%
150 1
3.0%
135 1
3.0%
94 2
6.1%
69 1
3.0%

건축연면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing14
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean8935.3684
Minimum62
Maximum29332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:30.197785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile547.1
Q11233
median3052
Q316011
95-th percentile26786.8
Maximum29332
Range29270
Interquartile range (IQR)14778

Descriptive statistics

Standard deviation10141.652
Coefficient of variation (CV)1.135001
Kurtosis-0.55058865
Mean8935.3684
Median Absolute Deviation (MAD)2451
Skewness0.97897001
Sum169772
Variance1.028531 × 108
MonotonicityNot monotonic
2024-05-11T01:06:30.533857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2017 2
 
6.1%
3784 1
 
3.0%
6174 1
 
3.0%
651 1
 
3.0%
13611 1
 
3.0%
601 1
 
3.0%
29332 1
 
3.0%
26504 1
 
3.0%
2773 1
 
3.0%
26310 1
 
3.0%
Other values (8) 8
24.2%
(Missing) 14
42.4%
ValueCountFrequency (%)
62 1
3.0%
601 1
3.0%
651 1
3.0%
654 1
3.0%
993 1
3.0%
1473 1
3.0%
2017 2
6.1%
2773 1
3.0%
3052 1
3.0%
3784 1
3.0%
ValueCountFrequency (%)
29332 1
3.0%
26504 1
3.0%
26310 1
3.0%
18470 1
3.0%
18411 1
3.0%
13611 1
3.0%
12883 1
3.0%
6174 1
3.0%
3784 1
3.0%
3052 1
3.0%

영문상호명
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing15
Missing (%)45.5%
Memory size396.0 B
2024-05-11T01:06:30.917235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length14.555556
Min length6

Characters and Unicode

Total characters262
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st rowSEOUL GARDEN Corp.
2nd rowHOTEL YAJA
3rd rowAju Hotel Seokyo Co., LTD.
4th rowCIRCLE HOTEL
5th rowCasaVille Shinchon Seoul
ValueCountFrequency (%)
hotel 7
 
15.2%
seoul 4
 
8.7%
mapo 2
 
4.3%
hostel 2
 
4.3%
one&only 1
 
2.2%
corp 1
 
2.2%
nabi 1
 
2.2%
9brick 1
 
2.2%
h-avenue 1
 
2.2%
glad 1
 
2.2%
Other values (25) 25
54.3%
2024-05-11T01:06:31.974095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
10.7%
o 16
 
6.1%
E 16
 
6.1%
H 15
 
5.7%
l 13
 
5.0%
O 12
 
4.6%
e 12
 
4.6%
L 11
 
4.2%
S 11
 
4.2%
a 9
 
3.4%
Other values (37) 119
45.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 127
48.5%
Lowercase Letter 100
38.2%
Space Separator 28
 
10.7%
Other Punctuation 5
 
1.9%
Dash Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 16
16.0%
l 13
13.0%
e 12
12.0%
a 9
9.0%
n 7
 
7.0%
i 6
 
6.0%
s 6
 
6.0%
t 5
 
5.0%
p 4
 
4.0%
u 4
 
4.0%
Other values (11) 18
18.0%
Uppercase Letter
ValueCountFrequency (%)
E 16
12.6%
H 15
11.8%
O 12
9.4%
L 11
 
8.7%
S 11
 
8.7%
A 8
 
6.3%
C 7
 
5.5%
T 7
 
5.5%
N 6
 
4.7%
I 5
 
3.9%
Other values (10) 29
22.8%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 227
86.6%
Common 35
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 16
 
7.0%
E 16
 
7.0%
H 15
 
6.6%
l 13
 
5.7%
O 12
 
5.3%
e 12
 
5.3%
L 11
 
4.8%
S 11
 
4.8%
a 9
 
4.0%
A 8
 
3.5%
Other values (31) 104
45.8%
Common
ValueCountFrequency (%)
28
80.0%
. 3
 
8.6%
- 1
 
2.9%
9 1
 
2.9%
, 1
 
2.9%
& 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
 
10.7%
o 16
 
6.1%
E 16
 
6.1%
H 15
 
5.7%
l 13
 
5.0%
O 12
 
4.6%
e 12
 
4.6%
L 11
 
4.2%
S 11
 
4.2%
a 9
 
3.4%
Other values (37) 119
45.4%

영문상호주소
Categorical

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
15 
TOURIST ACCOMMODATION(TOURIST HOTEL)
6 
Tourist Hotel
3 
TOURIST HOTEL
3 
Hostel
3 
Other values (3)
3 

Length

Max length36
Median length13
Mean length13.606061
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st rowTourist Hotel
2nd row<NA>
3rd rowTOURIST HOTEL
4th rowTOURIST HOTEL
5th rowTOURIST HOTEL

Common Values

ValueCountFrequency (%)
<NA> 15
45.5%
TOURIST ACCOMMODATION(TOURIST HOTEL) 6
 
18.2%
Tourist Hotel 3
 
9.1%
TOURIST HOTEL 3
 
9.1%
Hostel 3
 
9.1%
TOURIST ACCOMMODATION (FAMILY HOTEL) 1
 
3.0%
Tourists Accommodation(Family Hotel) 1
 
3.0%
Hotel 1
 
3.0%

Length

2024-05-11T01:06:32.438159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:32.847576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
26.8%
hotel 15
26.8%
tourist 13
23.2%
accommodation(tourist 6
 
10.7%
hostel 3
 
5.4%
accommodation 1
 
1.8%
family 1
 
1.8%
tourists 1
 
1.8%
accommodation(family 1
 
1.8%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:33.374331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:33.772792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:34.276771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:34.677643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:35.008293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:35.347692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:35.947224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:36.562450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:36.961219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:37.381741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

시설면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing13
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean8264.671
Minimum72.56
Maximum29331.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:37.768741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.56
5-th percentile574.2835
Q11376.5675
median3413.675
Q314810.562
95-th percentile26645.569
Maximum29331.57
Range29259.01
Interquartile range (IQR)13433.995

Descriptive statistics

Standard deviation9919.3515
Coefficient of variation (CV)1.2002113
Kurtosis-0.1007014
Mean8264.671
Median Absolute Deviation (MAD)2598.375
Skewness1.197091
Sum165293.42
Variance98393535
MonotonicityNot monotonic
2024-05-11T01:06:38.280690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1504.56 2
 
6.1%
6173.93 1
 
3.0%
2625.0 1
 
3.0%
3828.39 1
 
3.0%
13610.51 1
 
3.0%
600.69 1
 
3.0%
29331.57 1
 
3.0%
26504.2 1
 
3.0%
2772.94 1
 
3.0%
26310.01 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 13
39.4%
ValueCountFrequency (%)
72.56 1
3.0%
600.69 1
3.0%
654.2 1
3.0%
976.4 1
3.0%
992.59 1
3.0%
1504.56 2
6.1%
2625.0 1
3.0%
2772.94 1
3.0%
3043.28 1
3.0%
3784.07 1
3.0%
ValueCountFrequency (%)
29331.57 1
3.0%
26504.2 1
3.0%
26310.01 1
3.0%
18470.19 1
3.0%
18410.72 1
3.0%
13610.51 1
3.0%
6173.93 1
3.0%
4123.05 1
3.0%
3828.39 1
3.0%
3784.07 1
3.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T01:06:39.001389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:39.395957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing23
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean1.02408 × 1011
Minimum0
Maximum9.89 × 1011
Zeros1
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:39.836750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13500000
Q12.875 × 108
median2.5 × 109
Q36.75 × 109
95-th percentile5.5205 × 1011
Maximum9.89 × 1011
Range9.89 × 1011
Interquartile range (IQR)6.4625 × 109

Descriptive statistics

Standard deviation3.1156558 × 1011
Coefficient of variation (CV)3.042395
Kurtosis9.9913448
Mean1.02408 × 1011
Median Absolute Deviation (MAD)2.46 × 109
Skewness3.1604287
Sum1.02408 × 1012
Variance9.7073113 × 1022
MonotonicityNot monotonic
2024-05-11T01:06:40.262661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3000000000 2
 
6.1%
2000000000 1
 
3.0%
989000000000 1
 
3.0%
30000000 1
 
3.0%
50000000 1
 
3.0%
8000000000 1
 
3.0%
18000000000 1
 
3.0%
1000000000 1
 
3.0%
0 1
 
3.0%
(Missing) 23
69.7%
ValueCountFrequency (%)
0 1
3.0%
30000000 1
3.0%
50000000 1
3.0%
1000000000 1
3.0%
2000000000 1
3.0%
3000000000 2
6.1%
8000000000 1
3.0%
18000000000 1
3.0%
989000000000 1
3.0%
ValueCountFrequency (%)
989000000000 1
3.0%
18000000000 1
3.0%
8000000000 1
3.0%
3000000000 2
6.1%
2000000000 1
3.0%
1000000000 1
3.0%
50000000 1
3.0%
30000000 1
3.0%
0 1
3.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing13
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean8264.75
Minimum73
Maximum29332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T01:06:40.649454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile574.6
Q11377
median3413.5
Q314811
95-th percentile26645.4
Maximum29332
Range29259
Interquartile range (IQR)13434

Descriptive statistics

Standard deviation9919.3596
Coefficient of variation (CV)1.2002008
Kurtosis-0.10068747
Mean8264.75
Median Absolute Deviation (MAD)2598.5
Skewness1.1970984
Sum165295
Variance98393695
MonotonicityNot monotonic
2024-05-11T01:06:41.053720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1505 2
 
6.1%
6174 1
 
3.0%
2625 1
 
3.0%
3828 1
 
3.0%
13611 1
 
3.0%
601 1
 
3.0%
29332 1
 
3.0%
26504 1
 
3.0%
2773 1
 
3.0%
26310 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 13
39.4%
ValueCountFrequency (%)
73 1
3.0%
601 1
3.0%
654 1
3.0%
976 1
3.0%
993 1
3.0%
1505 2
6.1%
2625 1
3.0%
2773 1
3.0%
3043 1
3.0%
3784 1
3.0%
ValueCountFrequency (%)
29332 1
3.0%
26504 1
3.0%
26310 1
3.0%
18470 1
3.0%
18411 1
3.0%
13611 1
3.0%
6174 1
3.0%
4123 1
3.0%
3828 1
3.0%
3784 1
3.0%

관광숙박업상세명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
관광호텔업
14 
<NA>
12 
호스텔업
5 
가족호텔업
2 

Length

Max length5
Median length4
Mean length4.4848485
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 14
42.4%
<NA> 12
36.4%
호스텔업 5
 
15.2%
가족호텔업 2
 
6.1%

Length

2024-05-11T01:06:41.732552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:42.071361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 14
42.4%
na 12
36.4%
호스텔업 5
 
15.2%
가족호텔업 2
 
6.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03130000CDFI226003197900000119790802<NA>1영업/정상13영업중<NA><NA><NA><NA>02-717-9441<NA><NA>서울특별시 마포구 도화동 169-1서울특별시 마포구 마포대로 58 (도화동, 가든호텔)4168(주)서울가든2021-02-24 10:32:27U2021-02-26 02:40:00.0<NA>195366.504486448716.823597관광숙박업관광사업<NA>17<NA><NA>372실<NA>15237226310SEOUL GARDEN Corp.Tourist Hotel<NA><NA><NA><NA><NA><NA><NA>26310.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26310관광호텔업
13130000CDFI226003199900000119990726<NA>3폐업3폐업20040422<NA><NA><NA>332-1122<NA>121885서울특별시 마포구 합정동 381-17번지<NA><NA>서서울관광호텔2004-04-23 16:23:24I2018-08-31 23:59:59.0<NA><NA><NA>관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFI226003200100000120010511<NA>3폐업3폐업20201127<NA><NA><NA>3143-4595<NA><NA>서울특별시 마포구 서교동 377-1서울특별시 마포구 잔다리로 67 (서교동, 유양관광호텔)4034호텔야자2020-11-27 10:05:47U2020-11-29 02:40:00.0<NA>192584.698023450151.420027관광숙박업관광사업일반주거지역6<NA><NA>42실,동부화재손해보험호텔51422017HOTEL YAJATOURIST HOTEL<NA><NA><NA><NA><NA><NA><NA>1504.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1505관광호텔업
33130000CDFI226003200400000120040413<NA>3폐업3폐업20171130<NA><NA><NA>330-7777<NA>121838서울특별시 마포구 서교동 354-5번지서울특별시 마포구 양화로 130 (서교동)<NA>(주)아주호텔서교2017-12-01 09:12:27I2018-08-31 23:59:59.0<NA>192971.947728450243.232547관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA>135<NA>Aju Hotel Seokyo Co., LTD.TOURIST HOTEL<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
43130000CDFI226003200500000120050714<NA>1영업/정상13영업중<NA><NA><NA><NA>338-0018<NA><NA>서울특별시 마포구 합정동 382-17번지서울특별시 마포구 양화로 15 (합정동, 호텔써클)4027써클호텔2018-02-21 10:20:32I2018-08-31 23:59:59.0<NA>192044.052062449625.190175관광숙박업관광사업일반상업지역12<NA><NA>40실호텔93402017CIRCLE HOTELTOURIST HOTEL<NA><NA><NA><NA><NA><NA><NA>1504.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1505관광호텔업
53130000CDFI22600320090000012009-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6009-1000<NA><NA>서울특별시 마포구 공덕동 467 롯데캐슬프레지던트서울특별시 마포구 마포대로 109 (공덕동, 롯데캐슬프레지던트)4146(주)호텔롯데 롯데시티 호텔마포2023-09-13 17:12:48U2022-12-08 23:05:00.0<NA>195564.375758449186.933273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63130000CDFI226003201100000120111011<NA>1영업/정상13영업중<NA><NA><NA><NA>6016-0001<NA><NA>서울특별시 마포구 상암동 1587서울특별시 마포구 월드컵북로58길 15 (상암동, 스탠포드호텔코리아)3922스탠포드호텔코리아(주) 스탠포드호텔서울2022-06-23 16:54:58U2021-12-05 22:05:00.0<NA>189919.550052453342.222209<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000CDFI226003201200000120120308<NA>3폐업3폐업20180226<NA><NA><NA>6220-4000<NA>121807서울특별시 마포구 노고산동 57-26번지서울특별시 마포구 서강로 137 (노고산동)4058까사빌 신촌 서울2018-02-26 15:17:05I2018-08-31 23:59:59.0<NA>194237.345664450263.507661관광숙박업<NA>상업지역20<NA><NA>3층~14층영업중,183실숙박시설14<NA>18312883CasaVille Shinchon SeoulTOURIST ACCOMMODATION (FAMILY HOTEL)<NA><NA><NA><NA><NA><NA><NA>4123.05<NA><NA><NA><NA><NA><NA><NA><NA>2000000000<NA><NA><NA>4123가족호텔업
83130000CDFI226003201200000220121018<NA>3폐업3폐업20220208<NA><NA><NA>336-0001<NA>121843서울특별시 마포구 성산동 52-12서울특별시 마포구 월드컵북로 120 (성산동)3972더 엠 호텔2022-02-08 16:58:56U2022-02-10 02:40:00.0<NA>192282.955607451304.996933관광숙박업<NA>일반주거지역12기타<NA>56실호텔102563052THE M HOTELTourists Accommodation(Family Hotel)<NA><NA><NA><NA><NA><NA><NA>3043.28<NA><NA><NA><NA><NA><NA><NA><NA>3000000000<NA><NA><NA>3043가족호텔업
93130000CDFI226003201300000120130205<NA>3폐업3폐업20220706<NA><NA><NA>332-5656<NA>121893서울특별시 마포구 서교동 371-10서울특별시 마포구 양화로 112 (서교동)4038메리골드호텔2022-07-06 11:31:14U2021-12-06 23:02:00.0<NA>192839.116937450119.061832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
233130000CDFI226003201800000220180420<NA>1영업/정상13영업중<NA><NA><NA><NA>330-7872, 3307570<NA><NA>서울특별시 마포구 서교동 354-5서울특별시 마포구 양화로 130 (서교동)4038라이즈호텔2020-08-24 17:27:50U2020-08-26 02:40:00.0<NA>192971.947728450243.232547관광숙박업<NA><NA>25<NA><NA>274<NA>20527429332RYSE HOTELTOURIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>29331.57<NA><NA><NA><NA><NA><NA><NA><NA>1000000000<NA><NA><NA>29332관광호텔업
243130000CDFI226003201800000320180828<NA>1영업/정상13영업중<NA><NA><NA><NA>023238811<NA><NA>서울특별시 마포구 동교동 113-96번지서울특별시 마포구 연희로 27 (동교동)3985클레오2018-09-03 18:00:02I2018-10-09 15:19:31.0<NA>193449.985027451015.020895관광숙박업<NA><NA>8<NA><NA>24실<NA>7124601<NA><NA><NA><NA><NA><NA><NA><NA><NA>600.69<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>601호스텔업
253130000CDFI226003201800000420180831<NA>1영업/정상13영업중<NA><NA><NA><NA>027682661<NA><NA>서울특별시 마포구 동교동 190-1번지서울특별시 마포구 양화로 188 (동교동)4051홀리데이 인 익스프레스 서울 홍대2018-10-12 10:02:25U2018-10-12 23:59:59.0<NA>193565.900355450545.668461관광숙박업<NA><NA>10<NA><NA>294실<NA>710<NA>29413611Holiday Inn Express Seoul HongdaeTOURIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>13610.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13611관광호텔업
263130000CDFI226003201900000120191230<NA>3폐업3폐업20220127<NA><NA><NA>02-336-9000<NA><NA>서울특별시 마포구 망원동 397-2 샤이닝글로리하우스서울특별시 마포구 희우정로 90, 샤이닝글로리하우스 (망원동)4015샤이닝 글로리 하우스2022-01-27 18:56:51U2022-01-29 02:40:00.0<NA>191352.451616450172.00794관광숙박업<NA>일반주거지역8기타<NA><NA>호텔7169651SHINING GLORY HOUSETOURIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>3828.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3828관광호텔업
273130000CDFI226003202000000120201211<NA>1영업/정상13영업중<NA><NA><NA><NA>02-324-0021<NA><NA>서울특별시 마포구 서교동 373-1서울특별시 마포구 양화로 94, 보보호텔 (서교동)4043보보호텔2021-01-14 13:26:00U2021-01-16 02:40:00.0<NA>192702.357899450008.917576관광숙박업<NA>준주거지역6학교정화(상대)<NA><NA>호텔5155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2625.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2625관광호텔업
283130000CDFI226003202100000120211123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-7771<NA><NA>서울특별시 마포구 합정동 379-4 주니비노 호텔서울특별시 마포구 양화진2길 31, 주니비노 호텔 (합정동)4084주니비노호텔2022-01-09 14:53:49U2022-01-11 02:40:00.0<NA>192043.507297449524.361048관광숙박업<NA>일반주거지역14<NA><NA><NA>숙박시설122686174<NA><NA>00<NA>00<NA>06173.93<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>6174관광호텔업
293130000CDFI226003202100000220211222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3702-0300<NA><NA>서울특별시 마포구 도화동 573서울특별시 마포구 마포대로 67 (도화동)4157로이넷 호텔 서울 마포2022-11-03 15:09:19U2021-11-01 00:05:00.0<NA>195366.525965448847.482573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303130000CDFI22600320210000032021-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3774-1101<NA><NA>서울특별시 마포구 동교동 162-5 MERCURE 앰배서더 HOTEL 홍대서울특별시 마포구 양화로 144, MERCURE 앰배서더 HOTEL 홍대 (동교동)4050머큐어 앰배서더 서울 홍대2023-12-04 09:16:15U2022-11-02 00:06:00.0<NA>193073.644662450341.823214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313130000CDFI22600320220000012022-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6410-1000<NA><NA>서울특별시 마포구 마포동 450 나루서울특별시 마포구 마포대로 8 (마포동)4176호텔 나루2023-03-30 15:17:35U2022-12-04 22:06:00.0<NA>195002.716187448331.067135<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323130000CDFI22600320230000012023-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 460-25서울특별시 마포구 월드컵북로5길 41 (서교동)4002크리에이터타운 서교2023-07-12 16:18:35U2022-12-06 23:04:00.0<NA>192579.727676450446.890829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>