Overview

Dataset statistics

Number of variables60
Number of observations298
Missing cells6777
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.9 KiB
Average record size in memory518.4 B

Variable types

Categorical21
Text6
DateTime6
Unsupported17
Numeric10

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17453/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
인허가취소일자 is highly imbalanced (96.8%)Imbalance
영업상태코드 is highly imbalanced (50.3%)Imbalance
영업상태명 is highly imbalanced (50.3%)Imbalance
상세영업상태코드 is highly imbalanced (50.3%)Imbalance
상세영업상태명 is highly imbalanced (50.3%)Imbalance
소재지우편번호 is highly imbalanced (60.5%)Imbalance
주변환경명 is highly imbalanced (72.3%)Imbalance
건물용도명 is highly imbalanced (51.1%)Imbalance
지하층수 is highly imbalanced (51.5%)Imbalance
폐업일자 has 194 (65.1%) missing valuesMissing
휴업시작일자 has 297 (99.7%) missing valuesMissing
휴업종료일자 has 297 (99.7%) missing valuesMissing
재개업일자 has 298 (100.0%) missing valuesMissing
전화번호 has 256 (85.9%) missing valuesMissing
소재지면적 has 298 (100.0%) missing valuesMissing
도로명우편번호 has 113 (37.9%) missing valuesMissing
업태구분명 has 298 (100.0%) missing valuesMissing
문화사업자구분명 has 298 (100.0%) missing valuesMissing
총층수 has 63 (21.1%) missing valuesMissing
제작취급품목내용 has 298 (100.0%) missing valuesMissing
지상층수 has 63 (21.1%) missing valuesMissing
객실수 has 63 (21.1%) missing valuesMissing
건축연면적 has 63 (21.1%) missing valuesMissing
영문상호명 has 113 (37.9%) missing valuesMissing
선박제원 has 298 (100.0%) missing valuesMissing
기념품종류 has 298 (100.0%) missing valuesMissing
시설면적 has 63 (21.1%) missing valuesMissing
놀이기구수내역 has 298 (100.0%) missing valuesMissing
방송시설유무 has 298 (100.0%) missing valuesMissing
발전시설유무 has 298 (100.0%) missing valuesMissing
의무실유무 has 298 (100.0%) missing valuesMissing
안내소유무 has 298 (100.0%) missing valuesMissing
기획여행보험시작일자 has 298 (100.0%) missing valuesMissing
기획여행보험종료일자 has 298 (100.0%) missing valuesMissing
자본금 has 63 (21.1%) missing valuesMissing
보험시작일자 has 298 (100.0%) missing valuesMissing
보험종료일자 has 298 (100.0%) missing valuesMissing
부대시설내역 has 298 (100.0%) missing valuesMissing
시설규모 has 63 (21.1%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 has 170 (57.0%) zerosZeros
지상층수 has 190 (63.8%) zerosZeros
객실수 has 51 (17.1%) zerosZeros
건축연면적 has 230 (77.2%) zerosZeros
시설면적 has 5 (1.7%) zerosZeros
자본금 has 230 (77.2%) zerosZeros
시설규모 has 5 (1.7%) zerosZeros

Reproduction

Analysis started2024-05-17 22:48:13.518415
Analysis finished2024-05-17 22:48:15.745428
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3010000
298 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 298
100.0%

Length

2024-05-18T07:48:16.355843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:17.102713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 298
100.0%

관리번호
Text

UNIQUE 

Distinct298
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T07:48:17.762420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5960
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

Unique298 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000021
2nd rowCDFI2262212023000030
3rd rowCDFI2262212013000016
4th rowCDFI2262212013000019
5th rowCDFI2262212023000022
ValueCountFrequency (%)
cdfi2262212023000021 1
 
0.3%
cdfi2262212013000013 1
 
0.3%
cdfi2262212013000020 1
 
0.3%
cdfi2262212022000007 1
 
0.3%
cdfi2262212022000005 1
 
0.3%
cdfi2262212020000011 1
 
0.3%
cdfi2262212018000014 1
 
0.3%
cdfi2262212014000011 1
 
0.3%
cdfi2262212014000010 1
 
0.3%
cdfi2262212014000009 1
 
0.3%
Other values (288) 288
96.6%
2024-05-18T07:48:19.186666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1718
28.8%
0 1642
27.6%
1 642
 
10.8%
6 346
 
5.8%
C 298
 
5.0%
D 298
 
5.0%
F 298
 
5.0%
I 298
 
5.0%
3 114
 
1.9%
4 92
 
1.5%
Other values (4) 214
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4768
80.0%
Uppercase Letter 1192
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1718
36.0%
0 1642
34.4%
1 642
 
13.5%
6 346
 
7.3%
3 114
 
2.4%
4 92
 
1.9%
9 60
 
1.3%
5 59
 
1.2%
7 53
 
1.1%
8 42
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 298
25.0%
D 298
25.0%
F 298
25.0%
I 298
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4768
80.0%
Latin 1192
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1718
36.0%
0 1642
34.4%
1 642
 
13.5%
6 346
 
7.3%
3 114
 
2.4%
4 92
 
1.9%
9 60
 
1.3%
5 59
 
1.2%
7 53
 
1.1%
8 42
 
0.9%
Latin
ValueCountFrequency (%)
C 298
25.0%
D 298
25.0%
F 298
25.0%
I 298
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1718
28.8%
0 1642
27.6%
1 642
 
10.8%
6 346
 
5.8%
C 298
 
5.0%
D 298
 
5.0%
F 298
 
5.0%
I 298
 
5.0%
3 114
 
1.9%
4 92
 
1.5%
Other values (4) 214
 
3.6%

인허가일자
Date

Distinct245
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2012-02-03 00:00:00
Maximum2024-05-14 00:00:00
2024-05-18T07:48:20.146571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:20.767925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
297 
20220127
 
1

Length

Max length8
Median length4
Mean length4.0134228
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 297
99.7%
20220127 1
 
0.3%

Length

2024-05-18T07:48:21.285860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:21.719167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
99.7%
20220127 1
 
0.3%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
192 
3
104 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 192
64.4%
3 104
34.9%
4 1
 
0.3%
2 1
 
0.3%

Length

2024-05-18T07:48:22.021749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:22.318248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 192
64.4%
3 104
34.9%
4 1
 
0.3%
2 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
192 
폐업
104 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length3.9731544
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 192
64.4%
폐업 104
34.9%
취소/말소/만료/정지/중지 1
 
0.3%
휴업 1
 
0.3%

Length

2024-05-18T07:48:22.718848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:23.042802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 192
64.4%
폐업 104
34.9%
취소/말소/만료/정지/중지 1
 
0.3%
휴업 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
192 
3
104 
31
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.647651
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 192
64.4%
3 104
34.9%
31 1
 
0.3%
2 1
 
0.3%

Length

2024-05-18T07:48:23.384027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:23.763616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 192
64.4%
3 104
34.9%
31 1
 
0.3%
2 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
192 
폐업
104 
등록취소
 
1
휴업
 
1

Length

Max length4
Median length3
Mean length2.6510067
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 192
64.4%
폐업 104
34.9%
등록취소 1
 
0.3%
휴업 1
 
0.3%

Length

2024-05-18T07:48:24.262978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:24.732543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 192
64.4%
폐업 104
34.9%
등록취소 1
 
0.3%
휴업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct99
Distinct (%)95.2%
Missing194
Missing (%)65.1%
Memory size2.5 KiB
Minimum2012-11-14 00:00:00
Maximum2024-02-27 00:00:00
2024-05-18T07:48:25.258173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:25.883782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing297
Missing (%)99.7%
Memory size2.5 KiB
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2024-05-18T07:48:26.486488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:26.843717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing297
Missing (%)99.7%
Memory size2.5 KiB
Minimum2024-01-31 00:00:00
Maximum2024-01-31 00:00:00
2024-05-18T07:48:27.235616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:27.524089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing256
Missing (%)85.9%
Memory size2.5 KiB
2024-05-18T07:48:28.178280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length10.404762
Min length8

Characters and Unicode

Total characters437
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row070-7792-2121
2nd row02-778-3514
3rd row757-8883
4th row02-318-2323
5th row02-318-2323
ValueCountFrequency (%)
02-318-2323 2
 
4.7%
070-8879-0317 2
 
4.7%
02-318-9800 1
 
2.3%
2234-2904 1
 
2.3%
3789-0317 1
 
2.3%
2277-8989 1
 
2.3%
777-5070 1
 
2.3%
02-392-1897 1
 
2.3%
755-4020 1
 
2.3%
02-2238-2807 1
 
2.3%
Other values (31) 31
72.1%
2024-05-18T07:48:29.449137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 68
15.6%
- 62
14.2%
7 62
14.2%
2 54
12.4%
8 47
10.8%
9 38
8.7%
3 27
 
6.2%
1 25
 
5.7%
5 22
 
5.0%
4 17
 
3.9%
Other values (2) 15
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
85.6%
Dash Punctuation 62
 
14.2%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
18.2%
7 62
16.6%
2 54
14.4%
8 47
12.6%
9 38
10.2%
3 27
 
7.2%
1 25
 
6.7%
5 22
 
5.9%
4 17
 
4.5%
6 14
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
15.6%
- 62
14.2%
7 62
14.2%
2 54
12.4%
8 47
10.8%
9 38
8.7%
3 27
 
6.2%
1 25
 
5.7%
5 22
 
5.0%
4 17
 
3.9%
Other values (2) 15
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
15.6%
- 62
14.2%
7 62
14.2%
2 54
12.4%
8 47
10.8%
9 38
8.7%
3 27
 
6.2%
1 25
 
5.7%
5 22
 
5.0%
4 17
 
3.9%
Other values (2) 15
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct39
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
219 
100-042
 
13
100-876
 
7
100-250
 
5
100-873
 
5
Other values (34)
49 

Length

Max length7
Median length4
Mean length4.795302
Min length4

Unique

Unique23 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row100-876
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 219
73.5%
100-042 13
 
4.4%
100-876 7
 
2.3%
100-250 5
 
1.7%
100-873 5
 
1.7%
100-272 4
 
1.3%
100-043 3
 
1.0%
100-806 3
 
1.0%
100-041 2
 
0.7%
100-452 2
 
0.7%
Other values (29) 35
 
11.7%

Length

2024-05-18T07:48:30.113353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 219
73.5%
100-042 13
 
4.4%
100-876 7
 
2.3%
100-250 5
 
1.7%
100-873 5
 
1.7%
100-272 4
 
1.3%
100-043 3
 
1.0%
100-806 3
 
1.0%
100-835 2
 
0.7%
100-052 2
 
0.7%
Other values (29) 35
 
11.7%

지번주소
Text

Distinct257
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T07:48:30.735435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length22.439597
Min length15

Characters and Unicode

Total characters6687
Distinct characters125
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)77.2%

Sample

1st row서울특별시 중구 남산동2가 43-9
2nd row서울특별시 중구 회현동1가 83
3rd row서울특별시 중구 남산동2가 18-12
4th row서울특별시 중구 회현동2가 42-1 1층
5th row서울특별시 중구 남산동2가 45-8
ValueCountFrequency (%)
서울특별시 298
21.7%
중구 298
21.7%
남산동2가 78
 
5.7%
신당동 28
 
2.0%
회현동2가 27
 
2.0%
남산동1가 25
 
1.8%
광희동2가 19
 
1.4%
회현동1가 17
 
1.2%
1층 15
 
1.1%
예장동 13
 
0.9%
Other values (320) 554
40.4%
2024-05-18T07:48:31.923233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1074
 
16.1%
2 379
 
5.7%
1 368
 
5.5%
중 307
 
4.6%
서 301
 
4.5%
울 300
 
4.5%
시 298
 
4.5%
별 298
 
4.5%
구 298
 
4.5%
특 298
 
4.5%
Other values (115) 2766
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3717
55.6%
Decimal Number 1603
24.0%
Space Separator 1074
 
16.1%
Dash Punctuation 263
 
3.9%
Math Symbol 14
 
0.2%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 307
 
8.3%
서 301
 
8.1%
울 300
 
8.1%
시 298
 
8.0%
별 298
 
8.0%
구 298
 
8.0%
특 298
 
8.0%
동 296
 
8.0%
가 229
 
6.2%
지 125
 
3.4%
Other values (91) 967
26.0%
Decimal Number
ValueCountFrequency (%)
2 379
23.6%
1 368
23.0%
3 190
11.9%
4 148
 
9.2%
0 147
 
9.2%
8 97
 
6.1%
5 76
 
4.7%
6 69
 
4.3%
9 65
 
4.1%
7 64
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
L 1
20.0%
I 1
20.0%
G 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
i 1
33.3%
g 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
1074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 263
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3717
55.6%
Common 2962
44.3%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 307
 
8.3%
서 301
 
8.1%
울 300
 
8.1%
시 298
 
8.0%
별 298
 
8.0%
구 298
 
8.0%
특 298
 
8.0%
동 296
 
8.0%
가 229
 
6.2%
지 125
 
3.4%
Other values (91) 967
26.0%
Common
ValueCountFrequency (%)
1074
36.3%
2 379
 
12.8%
1 368
 
12.4%
- 263
 
8.9%
3 190
 
6.4%
4 148
 
5.0%
0 147
 
5.0%
8 97
 
3.3%
5 76
 
2.6%
6 69
 
2.3%
Other values (7) 151
 
5.1%
Latin
ValueCountFrequency (%)
B 2
25.0%
l 1
12.5%
i 1
12.5%
g 1
12.5%
L 1
12.5%
I 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3717
55.6%
ASCII 2970
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1074
36.2%
2 379
 
12.8%
1 368
 
12.4%
- 263
 
8.9%
3 190
 
6.4%
4 148
 
5.0%
0 147
 
4.9%
8 97
 
3.3%
5 76
 
2.6%
6 69
 
2.3%
Other values (14) 159
 
5.4%
Hangul
ValueCountFrequency (%)
중 307
 
8.3%
서 301
 
8.1%
울 300
 
8.1%
시 298
 
8.0%
별 298
 
8.0%
구 298
 
8.0%
특 298
 
8.0%
동 296
 
8.0%
가 229
 
6.2%
지 125
 
3.4%
Other values (91) 967
26.0%

도로명주소
Text

Distinct280
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T07:48:32.722960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length31.630872
Min length21

Characters and Unicode

Total characters9426
Distinct characters159
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)87.9%

Sample

1st row서울특별시 중구 소공로6길 32-3 (남산동2가)
2nd row서울특별시 중구 퇴계로10길 20-34, 1,2층 (회현동1가)
3rd row서울특별시 중구 퇴계로20길 25-30 (남산동2가)
4th row서울특별시 중구 소공로6나길 1, 1층 (회현동2가)
5th row서울특별시 중구 퇴계로18길 67-11, 1층 (남산동2가)
ValueCountFrequency (%)
서울특별시 298
 
16.6%
중구 298
 
16.6%
남산동2가 78
 
4.3%
1층 41
 
2.3%
2층 35
 
1.9%
퇴계로20나길 32
 
1.8%
신당동 28
 
1.6%
퇴계로20길 28
 
1.6%
회현동2가 27
 
1.5%
남산동1가 25
 
1.4%
Other values (361) 909
50.5%
2024-05-18T07:48:34.251814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1501
 
15.9%
2 518
 
5.5%
1 434
 
4.6%
동 323
 
3.4%
중 314
 
3.3%
로 310
 
3.3%
서 302
 
3.2%
구 302
 
3.2%
울 301
 
3.2%
( 299
 
3.2%
Other values (149) 4822
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4923
52.2%
Decimal Number 1935
 
20.5%
Space Separator 1501
 
15.9%
Open Punctuation 299
 
3.2%
Close Punctuation 299
 
3.2%
Other Punctuation 284
 
3.0%
Dash Punctuation 153
 
1.6%
Math Symbol 17
 
0.2%
Uppercase Letter 9
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 323
 
6.6%
중 314
 
6.4%
로 310
 
6.3%
서 302
 
6.1%
구 302
 
6.1%
울 301
 
6.1%
특 298
 
6.1%
별 298
 
6.1%
시 298
 
6.1%
길 264
 
5.4%
Other values (121) 1913
38.9%
Decimal Number
ValueCountFrequency (%)
2 518
26.8%
1 434
22.4%
0 221
11.4%
3 213
11.0%
4 145
 
7.5%
6 131
 
6.8%
8 78
 
4.0%
5 73
 
3.8%
7 71
 
3.7%
9 51
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
l 1
16.7%
g 1
16.7%
t 1
16.7%
h 1
16.7%
e 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
G 2
22.2%
I 2
22.2%
L 2
22.2%
Other Punctuation
ValueCountFrequency (%)
, 281
98.9%
. 2
 
0.7%
# 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4923
52.2%
Common 4488
47.6%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 323
 
6.6%
중 314
 
6.4%
로 310
 
6.3%
서 302
 
6.1%
구 302
 
6.1%
울 301
 
6.1%
특 298
 
6.1%
별 298
 
6.1%
시 298
 
6.1%
길 264
 
5.4%
Other values (121) 1913
38.9%
Common
ValueCountFrequency (%)
1501
33.4%
2 518
 
11.5%
1 434
 
9.7%
( 299
 
6.7%
) 299
 
6.7%
, 281
 
6.3%
0 221
 
4.9%
3 213
 
4.7%
- 153
 
3.4%
4 145
 
3.2%
Other values (8) 424
 
9.4%
Latin
ValueCountFrequency (%)
B 3
20.0%
G 2
13.3%
I 2
13.3%
L 2
13.3%
i 1
 
6.7%
l 1
 
6.7%
g 1
 
6.7%
t 1
 
6.7%
h 1
 
6.7%
e 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4923
52.2%
ASCII 4503
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1501
33.3%
2 518
 
11.5%
1 434
 
9.6%
( 299
 
6.6%
) 299
 
6.6%
, 281
 
6.2%
0 221
 
4.9%
3 213
 
4.7%
- 153
 
3.4%
4 145
 
3.2%
Other values (18) 439
 
9.7%
Hangul
ValueCountFrequency (%)
동 323
 
6.6%
중 314
 
6.4%
로 310
 
6.3%
서 302
 
6.1%
구 302
 
6.1%
울 301
 
6.1%
특 298
 
6.1%
별 298
 
6.1%
시 298
 
6.1%
길 264
 
5.4%
Other values (121) 1913
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)17.8%
Missing113
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean4615.7351
Minimum4501
Maximum4635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:34.668749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4501
5-th percentile4559.4
Q14614
median4629
Q34630
95-th percentile4633
Maximum4635
Range134
Interquartile range (IQR)16

Descriptive statistics

Standard deviation30.19754
Coefficient of variation (CV)0.0065423035
Kurtosis7.2747492
Mean4615.7351
Median Absolute Deviation (MAD)2
Skewness-2.758089
Sum853911
Variance911.89142
MonotonicityNot monotonic
2024-05-18T07:48:35.229819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4630 57
19.1%
4629 23
 
7.7%
4631 20
 
6.7%
4614 18
 
6.0%
4633 9
 
3.0%
4565 5
 
1.7%
4606 4
 
1.3%
4626 3
 
1.0%
4635 3
 
1.0%
4607 3
 
1.0%
Other values (23) 40
 
13.4%
(Missing) 113
37.9%
ValueCountFrequency (%)
4501 3
1.0%
4502 3
1.0%
4503 1
 
0.3%
4506 1
 
0.3%
4508 1
 
0.3%
4558 1
 
0.3%
4565 5
1.7%
4571 1
 
0.3%
4573 1
 
0.3%
4575 1
 
0.3%
ValueCountFrequency (%)
4635 3
 
1.0%
4634 2
 
0.7%
4633 9
 
3.0%
4631 20
 
6.7%
4630 57
19.1%
4629 23
7.7%
4627 2
 
0.7%
4626 3
 
1.0%
4623 2
 
0.7%
4622 2
 
0.7%

사업장명
Text

Distinct294
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T07:48:35.922075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.5268456
Min length1

Characters and Unicode

Total characters2243
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)97.3%

Sample

1st row남산포레힐
2nd row남산스튜디오
3rd row제이가든
4th row올리브호스텔 더블유
5th row존
ValueCountFrequency (%)
게스트하우스 33
 
6.9%
스테이 16
 
3.4%
하우스 12
 
2.5%
명동 11
 
2.3%
남산 8
 
1.7%
제이오너 6
 
1.3%
서울 6
 
1.3%
house 6
 
1.3%
2 5
 
1.1%
홈스테이 4
 
0.8%
Other values (326) 369
77.5%
2024-05-18T07:48:37.104622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 303
 
13.5%
178
 
7.9%
우 145
 
6.5%
하 144
 
6.4%
트 95
 
4.2%
게 82
 
3.7%
이 74
 
3.3%
테 34
 
1.5%
동 28
 
1.2%
e 27
 
1.2%
Other values (278) 1133
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1698
75.7%
Space Separator 178
 
7.9%
Lowercase Letter 160
 
7.1%
Uppercase Letter 113
 
5.0%
Decimal Number 69
 
3.1%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 6
 
0.3%
Letter Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 303
17.8%
우 145
 
8.5%
하 144
 
8.5%
트 95
 
5.6%
게 82
 
4.8%
이 74
 
4.4%
테 34
 
2.0%
동 28
 
1.6%
리 26
 
1.5%
남 25
 
1.5%
Other values (215) 742
43.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
16.9%
o 18
11.2%
n 15
9.4%
s 15
9.4%
u 12
 
7.5%
g 10
 
6.2%
y 9
 
5.6%
a 9
 
5.6%
h 7
 
4.4%
d 6
 
3.8%
Other values (11) 32
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
 
9.7%
H 10
 
8.8%
S 8
 
7.1%
O 7
 
6.2%
Y 7
 
6.2%
A 7
 
6.2%
T 6
 
5.3%
U 6
 
5.3%
N 6
 
5.3%
E 5
 
4.4%
Other values (11) 40
35.4%
Decimal Number
ValueCountFrequency (%)
2 23
33.3%
1 12
17.4%
3 8
 
11.6%
5 5
 
7.2%
8 5
 
7.2%
9 4
 
5.8%
0 4
 
5.8%
4 4
 
5.8%
7 3
 
4.3%
6 1
 
1.4%
Letter Number
ValueCountFrequency (%)
Ⅴ 1
20.0%
Ⅰ 1
20.0%
Ⅱ 1
20.0%
Ⅳ 1
20.0%
Ⅲ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
' 4
66.7%
% 1
 
16.7%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1698
75.7%
Latin 278
 
12.4%
Common 267
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 303
17.8%
우 145
 
8.5%
하 144
 
8.5%
트 95
 
5.6%
게 82
 
4.8%
이 74
 
4.4%
테 34
 
2.0%
동 28
 
1.6%
리 26
 
1.5%
남 25
 
1.5%
Other values (215) 742
43.7%
Latin
ValueCountFrequency (%)
e 27
 
9.7%
o 18
 
6.5%
n 15
 
5.4%
s 15
 
5.4%
u 12
 
4.3%
B 11
 
4.0%
H 10
 
3.6%
g 10
 
3.6%
y 9
 
3.2%
a 9
 
3.2%
Other values (37) 142
51.1%
Common
ValueCountFrequency (%)
178
66.7%
2 23
 
8.6%
1 12
 
4.5%
3 8
 
3.0%
( 7
 
2.6%
) 7
 
2.6%
5 5
 
1.9%
8 5
 
1.9%
' 4
 
1.5%
9 4
 
1.5%
Other values (6) 14
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1698
75.7%
ASCII 540
 
24.1%
Number Forms 5
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 303
17.8%
우 145
 
8.5%
하 144
 
8.5%
트 95
 
5.6%
게 82
 
4.8%
이 74
 
4.4%
테 34
 
2.0%
동 28
 
1.6%
리 26
 
1.5%
남 25
 
1.5%
Other values (215) 742
43.7%
ASCII
ValueCountFrequency (%)
178
33.0%
e 27
 
5.0%
2 23
 
4.3%
o 18
 
3.3%
n 15
 
2.8%
s 15
 
2.8%
1 12
 
2.2%
u 12
 
2.2%
B 11
 
2.0%
H 10
 
1.9%
Other values (48) 219
40.6%
Number Forms
ValueCountFrequency (%)
Ⅴ 1
20.0%
Ⅰ 1
20.0%
Ⅱ 1
20.0%
Ⅳ 1
20.0%
Ⅲ 1
20.0%

최종수정일자
Date

Distinct211
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2013-01-23 00:00:00
Maximum2024-05-14 17:54:57
2024-05-18T07:48:37.565777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:37.998492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
U
225 
I
73 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 225
75.5%
I 73
 
24.5%

Length

2024-05-18T07:48:38.436870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:38.840986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 225
75.5%
i 73
 
24.5%

데이터갱신일자
Date

Distinct144
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:00
Maximum2023-12-05 00:09:00
2024-05-18T07:48:39.167650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:48:39.608756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct205
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199153.27
Minimum196720.44
Maximum201948.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:40.088123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196720.44
5-th percentile197094.48
Q1198526.69
median198696.19
Q3200215.85
95-th percentile200896.87
Maximum201948.4
Range5227.9645
Interquartile range (IQR)1689.1591

Descriptive statistics

Standard deviation1133.8503
Coefficient of variation (CV)0.005693355
Kurtosis-0.34360543
Mean199153.27
Median Absolute Deviation (MAD)294.89625
Skewness0.49448077
Sum59347676
Variance1285616.5
MonotonicityNot monotonic
2024-05-18T07:48:40.523219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198535.3649 11
 
3.7%
198483.8116 6
 
2.0%
198515.5717 5
 
1.7%
198667.614874083 5
 
1.7%
198648.7689 4
 
1.3%
198762.3632 4
 
1.3%
199477.9143 3
 
1.0%
198025.6376 3
 
1.0%
199526.4161 3
 
1.0%
198622.331 3
 
1.0%
Other values (195) 251
84.2%
ValueCountFrequency (%)
196720.4358 2
0.7%
196864.9428 2
0.7%
196990.190044103 1
0.3%
196994.5356 1
0.3%
197010.426880715 1
0.3%
197010.4269 2
0.7%
197019.2637 1
0.3%
197031.8798 1
0.3%
197046.110438451 1
0.3%
197065.349 1
0.3%
ValueCountFrequency (%)
201948.4003 1
0.3%
201937.8144 1
0.3%
201935.514452632 1
0.3%
201858.913516378 1
0.3%
201823.909 1
0.3%
201756.851000901 1
0.3%
201682.32589292 1
0.3%
201558.871905885 1
0.3%
201558.8719 1
0.3%
201144.9615 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct205
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450776.77
Minimum449638.82
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:40.992301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450390.93
Q1450596.87
median450690.95
Q3450896.17
95-th percentile451423.47
Maximum452076.82
Range2437.9944
Interquartile range (IQR)299.3055

Descriptive statistics

Standard deviation358.79139
Coefficient of variation (CV)0.00079594027
Kurtosis2.2619648
Mean450776.77
Median Absolute Deviation (MAD)117.34817
Skewness0.58391379
Sum1.3433148 × 108
Variance128731.26
MonotonicityNot monotonic
2024-05-18T07:48:41.551384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450672.3915 11
 
3.7%
450642.3149 6
 
2.0%
450769.7575 5
 
1.7%
450587.099454702 5
 
1.7%
450752.8189 4
 
1.3%
450698.616 4
 
1.3%
450453.3938 3
 
1.0%
450546.0129 3
 
1.0%
451693.2113 3
 
1.0%
450564.3203 3
 
1.0%
Other values (195) 251
84.2%
ValueCountFrequency (%)
449638.8243 1
0.3%
449668.3347 1
0.3%
449671.9737 1
0.3%
449742.6266 1
0.3%
449766.2088 1
0.3%
449941.00084882 1
0.3%
449985.9552 1
0.3%
450100.3046 1
0.3%
450118.5577 1
0.3%
450128.3091 1
0.3%
ValueCountFrequency (%)
452076.8187 1
 
0.3%
451979.752939172 1
 
0.3%
451979.7529 1
 
0.3%
451951.055951154 1
 
0.3%
451731.273340663 1
 
0.3%
451693.2113 3
1.0%
451663.072193699 1
 
0.3%
451560.771017053 1
 
0.3%
451556.2456 1
 
0.3%
451434.4894 2
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
외국인관광 도시민박업
235 
<NA>
63 

Length

Max length11
Median length11
Mean length9.5201342
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:41.965299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:42.284654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 235
44.1%
도시민박업 235
44.1%
na 63
 
11.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

지역구분명
Categorical

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
213 
일반주거지역
47 
주거지역
26 
일반상업지역
 
5
준주거지역
 
4

Length

Max length6
Median length4
Mean length4.3624161
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 213
71.5%
일반주거지역 47
 
15.8%
주거지역 26
 
8.7%
일반상업지역 5
 
1.7%
준주거지역 4
 
1.3%
상업지역 3
 
1.0%

Length

2024-05-18T07:48:42.653701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:43.015510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 213
71.5%
일반주거지역 47
 
15.8%
주거지역 26
 
8.7%
일반상업지역 5
 
1.7%
준주거지역 4
 
1.3%
상업지역 3
 
1.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.0%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean0.71914894
Minimum0
Maximum6
Zeros170
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:43.302664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3420609
Coefficient of variation (CV)1.8661794
Kurtosis2.526171
Mean0.71914894
Median Absolute Deviation (MAD)0
Skewness1.8514292
Sum169
Variance1.8011275
MonotonicityNot monotonic
2024-05-18T07:48:43.648308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 170
57.0%
2 26
 
8.7%
1 12
 
4.0%
4 11
 
3.7%
3 10
 
3.4%
5 5
 
1.7%
6 1
 
0.3%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0 170
57.0%
1 12
 
4.0%
2 26
 
8.7%
3 10
 
3.4%
4 11
 
3.7%
5 5
 
1.7%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 5
 
1.7%
4 11
 
3.7%
3 10
 
3.4%
2 26
 
8.7%
1 12
 
4.0%
0 170
57.0%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
267 
주택가주변
 
19
학교정화(상대)
 
6
기타
 
3
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length4.1644295
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 267
89.6%
주택가주변 19
 
6.4%
학교정화(상대) 6
 
2.0%
기타 3
 
1.0%
학교정화(절대) 3
 
1.0%

Length

2024-05-18T07:48:44.061779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:44.396860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 267
89.6%
주택가주변 19
 
6.4%
학교정화(상대 6
 
2.0%
기타 3
 
1.0%
학교정화(절대 3
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

보험기관명
Categorical

Distinct13
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
155 
명동
76 
필동
 
15
광희동
 
13
회현동
 
12
Other values (8)
27 

Length

Max length4
Median length4
Mean length3.2214765
Min length2

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
52.0%
명동 76
25.5%
필동 15
 
5.0%
광희동 13
 
4.4%
회현동 12
 
4.0%
장충동 8
 
2.7%
중림동 7
 
2.3%
신당동 4
 
1.3%
다산동 3
 
1.0%
을지로동 2
 
0.7%
Other values (3) 3
 
1.0%

Length

2024-05-18T07:48:44.798483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 155
52.0%
명동 76
25.5%
필동 15
 
5.0%
광희동 13
 
4.4%
회현동 12
 
4.0%
장충동 8
 
2.7%
중림동 7
 
2.3%
신당동 4
 
1.3%
다산동 3
 
1.0%
을지로동 2
 
0.7%
Other values (3) 3
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
221 
단독주택
44 
다가구용 주택(공동주택적용)
 
18
아파트
 
7
다세대주택
 
5

Length

Max length15
Median length4
Mean length4.6577181
Min length3

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> 221
74.2%
단독주택 44
 
14.8%
다가구용 주택(공동주택적용) 18
 
6.0%
아파트 7
 
2.3%
다세대주택 5
 
1.7%
연립주택 3
 
1.0%

Length

2024-05-18T07:48:45.213126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:45.546680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
69.9%
단독주택 44
 
13.9%
다가구용 18
 
5.7%
주택(공동주택적용 18
 
5.7%
아파트 7
 
2.2%
다세대주택 5
 
1.6%
연립주택 3
 
0.9%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.0%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean0.48085106
Minimum0
Maximum6
Zeros190
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:45.869518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1068239
Coefficient of variation (CV)2.3018019
Kurtosis5.6399924
Mean0.48085106
Median Absolute Deviation (MAD)0
Skewness2.4328623
Sum113
Variance1.2250591
MonotonicityNot monotonic
2024-05-18T07:48:46.084579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 190
63.8%
2 19
 
6.4%
3 12
 
4.0%
1 7
 
2.3%
4 4
 
1.3%
5 2
 
0.7%
6 1
 
0.3%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0 190
63.8%
1 7
 
2.3%
2 19
 
6.4%
3 12
 
4.0%
4 4
 
1.3%
5 2
 
0.7%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 2
 
0.7%
4 4
 
1.3%
3 12
 
4.0%
2 19
 
6.4%
1 7
 
2.3%
0 190
63.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
214 
<NA>
63 
1
 
19
2
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 214
71.8%
<NA> 63
 
21.1%
1 19
 
6.4%
2 1
 
0.3%
3 1
 
0.3%

Length

2024-05-18T07:48:46.494029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:46.823459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 214
71.8%
na 63
 
21.1%
1 19
 
6.4%
2 1
 
0.3%
3 1
 
0.3%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)6.0%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean2.893617
Minimum0
Maximum17
Zeros51
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:47.147473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile8
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9931121
Coefficient of variation (CV)1.0343843
Kurtosis2.2796772
Mean2.893617
Median Absolute Deviation (MAD)2
Skewness1.3959291
Sum680
Variance8.9587198
MonotonicityNot monotonic
2024-05-18T07:48:47.617822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 52
17.4%
0 51
17.1%
2 36
12.1%
3 24
 
8.1%
7 16
 
5.4%
5 15
 
5.0%
6 14
 
4.7%
4 9
 
3.0%
8 7
 
2.3%
10 5
 
1.7%
Other values (4) 6
 
2.0%
(Missing) 63
21.1%
ValueCountFrequency (%)
0 51
17.1%
1 52
17.4%
2 36
12.1%
3 24
8.1%
4 9
 
3.0%
5 15
 
5.0%
6 14
 
4.7%
7 16
 
5.4%
8 7
 
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
17 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
10 5
 
1.7%
9 3
 
1.0%
8 7
2.3%
7 16
5.4%
6 14
4.7%
5 15
5.0%
4 9
3.0%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.6%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean1.387234
Minimum0
Maximum95
Zeros230
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:47.964142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum95
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.9145412
Coefficient of variation (CV)7.1469852
Kurtosis61.828379
Mean1.387234
Median Absolute Deviation (MAD)0
Skewness7.6926899
Sum326
Variance98.298127
MonotonicityNot monotonic
2024-05-18T07:48:48.292807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 230
77.2%
48 1
 
0.3%
86 1
 
0.3%
45 1
 
0.3%
95 1
 
0.3%
52 1
 
0.3%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0 230
77.2%
45 1
 
0.3%
48 1
 
0.3%
52 1
 
0.3%
86 1
 
0.3%
95 1
 
0.3%
ValueCountFrequency (%)
95 1
 
0.3%
86 1
 
0.3%
52 1
 
0.3%
48 1
 
0.3%
45 1
 
0.3%
0 230
77.2%

영문상호명
Text

MISSING 

Distinct179
Distinct (%)96.8%
Missing113
Missing (%)37.9%
Memory size2.5 KiB
2024-05-18T07:48:48.947667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length13.875676
Min length3

Characters and Unicode

Total characters2567
Distinct characters69
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

Unique173 ?
Unique (%)93.5%

Sample

1st rowJ.Garden
2nd rowOlive Hostel W
3rd rowPlan A Hostel
4th rowMujigae GuestHouse
5th rowFirst House
ValueCountFrequency (%)
house 55
 
12.9%
guesthouse 31
 
7.3%
guest 21
 
4.9%
stay 11
 
2.6%
the 10
 
2.4%
namsan 9
 
2.1%
seoul 9
 
2.1%
myeongdong 8
 
1.9%
hostel 7
 
1.6%
j-honor 6
 
1.4%
Other values (206) 258
60.7%
2024-05-18T07:48:50.061788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
9.4%
e 220
 
8.6%
o 167
 
6.5%
s 158
 
6.2%
u 145
 
5.6%
a 112
 
4.4%
H 105
 
4.1%
O 95
 
3.7%
S 94
 
3.7%
n 92
 
3.6%
Other values (59) 1138
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1382
53.8%
Uppercase Letter 863
33.6%
Space Separator 241
 
9.4%
Decimal Number 55
 
2.1%
Other Punctuation 11
 
0.4%
Dash Punctuation 10
 
0.4%
Letter Number 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 220
15.9%
o 167
12.1%
s 158
11.4%
u 145
10.5%
a 112
8.1%
n 92
 
6.7%
t 85
 
6.2%
h 48
 
3.5%
r 48
 
3.5%
g 47
 
3.4%
Other values (15) 260
18.8%
Uppercase Letter
ValueCountFrequency (%)
H 105
12.2%
O 95
11.0%
S 94
10.9%
E 74
8.6%
G 71
 
8.2%
U 69
 
8.0%
A 52
 
6.0%
N 47
 
5.4%
M 39
 
4.5%
T 37
 
4.3%
Other values (14) 180
20.9%
Decimal Number
ValueCountFrequency (%)
2 18
32.7%
1 10
18.2%
4 5
 
9.1%
3 4
 
7.3%
9 4
 
7.3%
5 4
 
7.3%
0 4
 
7.3%
7 3
 
5.5%
8 2
 
3.6%
6 1
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
20.0%
Ⅲ 1
20.0%
Ⅰ 1
20.0%
Ⅱ 1
20.0%
Ⅴ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
' 7
63.6%
. 3
27.3%
% 1
 
9.1%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2250
87.7%
Common 317
 
12.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 220
 
9.8%
o 167
 
7.4%
s 158
 
7.0%
u 145
 
6.4%
a 112
 
5.0%
H 105
 
4.7%
O 95
 
4.2%
S 94
 
4.2%
n 92
 
4.1%
t 85
 
3.8%
Other values (44) 977
43.4%
Common
ValueCountFrequency (%)
241
76.0%
2 18
 
5.7%
- 10
 
3.2%
1 10
 
3.2%
' 7
 
2.2%
4 5
 
1.6%
3 4
 
1.3%
9 4
 
1.3%
5 4
 
1.3%
0 4
 
1.3%
Other values (5) 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2562
99.8%
Number Forms 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
 
9.4%
e 220
 
8.6%
o 167
 
6.5%
s 158
 
6.2%
u 145
 
5.7%
a 112
 
4.4%
H 105
 
4.1%
O 95
 
3.7%
S 94
 
3.7%
n 92
 
3.6%
Other values (54) 1133
44.2%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
20.0%
Ⅲ 1
20.0%
Ⅰ 1
20.0%
Ⅱ 1
20.0%
Ⅴ 1
20.0%

영문상호주소
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Urban private room rental business for foreign tourists
142 
<NA>
113 
Tourist Service Facility
42 
#953,157, Eulji-ro, Jung-gu, Seoul
 
1

Length

Max length55
Median length34
Mean length31.221477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd rowUrban private room rental business for foreign tourists
4th rowUrban private room rental business for foreign tourists
5th row<NA>

Common Values

ValueCountFrequency (%)
Urban private room rental business for foreign tourists 142
47.7%
<NA> 113
37.9%
Tourist Service Facility 42
 
14.1%
#953,157, Eulji-ro, Jung-gu, Seoul 1
 
0.3%

Length

2024-05-18T07:48:50.578529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:51.012871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
urban 142
10.3%
private 142
10.3%
room 142
10.3%
rental 142
10.3%
business 142
10.3%
for 142
10.3%
foreign 142
10.3%
tourists 142
10.3%
na 113
8.2%
tourist 42
 
3.0%
Other values (6) 88
6.4%

선박총톤수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:51.667721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:52.054665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

선박척수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:52.542299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:52.914472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:53.284607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:53.613182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

좌석수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:53.930209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:54.245212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:54.617752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:54.938900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct203
Distinct (%)86.4%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean96.954383
Minimum0
Maximum228.88
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:55.276199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.032
Q156.05
median84.95
Q3132.155
95-th percentile204.215
Maximum228.88
Range228.88
Interquartile range (IQR)76.105

Descriptive statistics

Standard deviation54.62548
Coefficient of variation (CV)0.56341424
Kurtosis-0.45500641
Mean96.954383
Median Absolute Deviation (MAD)35.09
Skewness0.60276232
Sum22784.28
Variance2983.943
MonotonicityNot monotonic
2024-05-18T07:48:55.581658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
1.7%
69.46 3
 
1.0%
70.54 3
 
1.0%
63.0 3
 
1.0%
138.48 3
 
1.0%
126.02 2
 
0.7%
56.2 2
 
0.7%
39.18 2
 
0.7%
118.75 2
 
0.7%
43.29 2
 
0.7%
Other values (193) 208
69.8%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0.0 5
1.7%
18.9 2
 
0.7%
21.7 1
 
0.3%
23.08 1
 
0.3%
25.0 1
 
0.3%
25.47 1
 
0.3%
26.45 1
 
0.3%
28.71 1
 
0.3%
29.88 1
 
0.3%
31.94 1
 
0.3%
ValueCountFrequency (%)
228.88 1
0.3%
227.47 1
0.3%
225.8 1
0.3%
217.8 1
0.3%
216.0 1
0.3%
215.99 1
0.3%
215.6 1
0.3%
213.13 1
0.3%
209.95 1
0.3%
208.78 1
0.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
235 
<NA>
63 

Length

Max length4
Median length1
Mean length1.6342282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 235
78.9%
<NA> 63
 
21.1%

Length

2024-05-18T07:48:55.828157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:48:56.010360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 235
78.9%
na 63
 
21.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.6%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean3063829.8
Minimum0
Maximum3 × 108
Zeros230
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:56.218999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3 × 108
Range3 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23929566
Coefficient of variation (CV)7.8103444
Kurtosis108.33435
Mean3063829.8
Median Absolute Deviation (MAD)0
Skewness9.7604159
Sum7.2 × 108
Variance5.7262411 × 1014
MonotonicityNot monotonic
2024-05-18T07:48:56.421096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 230
77.2%
120000000 1
 
0.3%
130000000 1
 
0.3%
100000000 1
 
0.3%
70000000 1
 
0.3%
300000000 1
 
0.3%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0 230
77.2%
70000000 1
 
0.3%
100000000 1
 
0.3%
120000000 1
 
0.3%
130000000 1
 
0.3%
300000000 1
 
0.3%
ValueCountFrequency (%)
300000000 1
 
0.3%
130000000 1
 
0.3%
120000000 1
 
0.3%
100000000 1
 
0.3%
70000000 1
 
0.3%
0 230
77.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)100.0%
Memory size2.7 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)51.9%
Missing63
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean96.970213
Minimum0
Maximum229
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:48:56.695733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.1
Q156
median85
Q3132.5
95-th percentile204.2
Maximum229
Range229
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation54.661147
Coefficient of variation (CV)0.56369008
Kurtosis-0.45513605
Mean96.970213
Median Absolute Deviation (MAD)35
Skewness0.60283541
Sum22788
Variance2987.841
MonotonicityNot monotonic
2024-05-18T07:48:56.957988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 7
 
2.3%
43 6
 
2.0%
85 6
 
2.0%
0 5
 
1.7%
56 5
 
1.7%
76 5
 
1.7%
60 5
 
1.7%
68 5
 
1.7%
119 5
 
1.7%
71 5
 
1.7%
Other values (112) 181
60.7%
(Missing) 63
 
21.1%
ValueCountFrequency (%)
0 5
1.7%
19 2
 
0.7%
22 1
 
0.3%
23 1
 
0.3%
25 2
 
0.7%
26 1
 
0.3%
29 1
 
0.3%
30 1
 
0.3%
32 2
 
0.7%
33 1
 
0.3%
ValueCountFrequency (%)
229 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
218 1
 
0.3%
216 3
1.0%
213 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03010000CDFI22622120230000212023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동2가 43-9서울특별시 중구 소공로6길 32-3 (남산동2가)4630남산포레힐2023-09-11 14:04:48U2022-12-08 23:03:00.0<NA>198603.91603450671.759096<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13010000CDFI22622120230000302023-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 회현동1가 83서울특별시 중구 퇴계로10길 20-34, 1,2층 (회현동1가)4634남산스튜디오2023-12-12 16:25:03U2022-11-01 23:04:00.0<NA>198173.83919450626.329143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFI226221201300001620130830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동2가 18-12서울특별시 중구 퇴계로20길 25-30 (남산동2가)<NA>제이가든2022-08-03U2022-08-05 02:40:00.0<NA>198742.6925450754.9243외국인관광 도시민박업<NA><NA>0<NA><NA>명동<NA>0070J.GardenUrban private room rental business for foreign tourists00<NA>00<NA>0109.09<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>109
33010000CDFI226221201300001920131025<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7792-2121<NA>100-876서울특별시 중구 회현동2가 42-1 1층서울특별시 중구 소공로6나길 1, 1층 (회현동2가)<NA>올리브호스텔 더블유2022-11-04U2022-11-06 02:40:00.0<NA>198503.4479450660.8473외국인관광 도시민박업<NA><NA>0<NA><NA>명동<NA>0040Olive Hostel WUrban private room rental business for foreign tourists00<NA>00<NA>0100.67<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>101
43010000CDFI22622120230000222023-08-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동2가 45-8서울특별시 중구 퇴계로18길 67-11, 1층 (남산동2가)4630존2023-09-11 14:06:34U2022-12-08 23:03:00.0<NA>198583.998579450634.09181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53010000CDFI22622120230000242023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 예장동 8-88 302호서울특별시 중구 퇴계로20나길 15-22, 302호 (예장동)4630킴스 하우스2023-11-13 18:15:49U2022-10-31 23:05:00.0<NA>198667.614874450587.099455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000CDFI22622120230000352023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동2가 103-4서울특별시 중구 퇴계로36가길 36-10 (필동2가)4626아늑하우스2023-12-12 16:27:30U2022-11-01 23:04:00.0<NA>199502.075324450693.201452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000CDFI226221201400002620141022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100-888서울특별시 중구 신당동 236-293번지서울특별시 중구 청구로 138 (신당동)<NA>플랜에이호스텔2020-05-18U2020-05-20 02:40:00.0<NA>200852.7596451306.0603외국인관광 도시민박업<NA>주거지역2주택가주변<NA>신당동단독주택2070Plan A HostelTourist Service Facility00<NA>00<NA>0115.7<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>116
83010000CDFI226221201400002720141022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100-013서울특별시 중구 충무로3가 57-3번지 옥탑층서울특별시 중구 퇴계로31길 29 (충무로3가, 옥탑층)<NA>무지개 게스트하우스2020-05-18U2020-05-20 02:40:00.0<NA>199237.8591451136.4603외국인관광 도시민박업<NA>상업지역6기타<NA>필동단독주택0020Mujigae GuestHouseTourist Service Facility00<NA>00<NA>051.24<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>51
93010000CDFI226221201500000620150203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100-713서울특별시 중구 충무로4가 120-3번지 진양아파트 1동 1159호서울특별시 중구 퇴계로 217, 1동 1159호 (충무로4가)<NA>퍼스트하우스2020-05-18U2020-05-20 02:40:00.0<NA>199571.5995451124.8514외국인관광 도시민박업<NA>일반상업지역0<NA><NA>광희동아파트0030First HouseTourist Service Facility00<NA>00<NA>0107.9<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>108
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2883010000CDFI226221201300001820131004<NA>3폐업3폐업20191205<NA><NA><NA><NA><NA>100-859서울특별시 중구 중림동 324-4번지 용궁빌라 201호서울특별시 중구 중림로8길 10, 201호 (중림동, 용궁빌라)<NA>씨티하우스2019-12-05U2019-12-07 02:40:00.0<NA>197019.2637450600.6561외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0020<NA><NA>00<NA>00<NA>075.84<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>76
2893010000CDFI226221201400000620140220<NA>3폐업3폐업20150602<NA><NA><NA><NA><NA>100-452서울특별시 중구 신당동 432-1695번지 402호서울특별시 중구 동호로17길 261, 402호 (신당동)<NA>리배2015-06-03I2018-08-31 23:59:00.0<NA>200445.0573449671.9737외국인관광 도시민박업<NA>주거지역4주택가주변<NA><NA>연립주택4000<NA><NA>00<NA>00<NA>0167.47<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>167
2903010000CDFI226221201400003120141224<NA>3폐업3폐업20161010<NA><NA><NA>2256-7888<NA>100-870서울특별시 중구 황학동 836번지 아미인 10층서울특별시 중구 난계로11길 16, 10층 (황학동, 아미인 )<NA>아미하우스2016-10-19I2018-08-31 23:59:00.0<NA>201948.4003451556.2456외국인관광 도시민박업<NA>일반상업지역0<NA><NA><NA><NA>0000AmiehouseTourist Service Facility00<NA>00<NA>0186.36<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>186
2913010000CDFI226221201400002820141110<NA>3폐업3폐업20210119<NA><NA><NA>02-318-9800<NA>100-042서울특별시 중구 남산동2가 14-6 1~2층서울특별시 중구 퇴계로20가길 8-1, 1~2층 (남산동2가)<NA>더 다다하우스2021-01-19U2021-01-21 02:40:00.0<NA>198713.2431450808.1785외국인관광 도시민박업<NA>일반주거지역2<NA><NA>명동단독주택2080THE DADA HOUSETourist Service Facility00<NA>00<NA>0164.92<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>165
2923010000CDFI226221201200001820121004<NA>3폐업3폐업20141007<NA><NA><NA>2048-6400<NA>100-440서울특별시 중구 황학동 2545번지 롯데캐슬 베네치아 102동 1712호서울특별시 중구 청계천로 400, 102동 1712호 (황학동, 롯데캐슬 베네치아)<NA>청계천의 집2014-10-07I2018-08-31 23:59:00.0<NA>201823.909452076.8187외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0114.9<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>115
2933010000CDFI226221201200001920121024<NA>3폐업3폐업20200803<NA><NA><NA>070-2079-7842<NA>100-272서울특별시 중구 필동2가 91서울특별시 중구 필동로 24-3 (필동2가)<NA>컴온 게스트하우스2020-09-01U2020-09-03 02:40:00.0<NA>199571.985450794.2125외국인관광 도시민박업<NA><NA>3<NA><NA>필동<NA>2160Come on GuesthouseUrban private room rental business for foreign tourists00<NA>00<NA>092.72<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>93
2943010000CDFI226221201300000120130110<NA>3폐업3폐업20130620<NA><NA><NA><NA><NA>100-042서울특별시 중구 남산동2가 39-5번지서울특별시 중구 퇴계로20나길 2-15 (남산동2가)<NA>제이오너2013-06-21I2018-08-31 23:59:00.0<NA>198634.4827450726.0533외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
2953010000CDFI226221201800001220181128<NA>3폐업3폐업20210527<NA><NA><NA><NA><NA><NA>서울특별시 중구 필동2가 90-1서울특별시 중구 필동로 24-7, 2층 (필동2가)4626곰 게스트하우스2021-05-27U2021-05-29 02:40:00.0<NA>199570.3673450806.3129외국인관광 도시민박업<NA><NA>0<NA><NA>필동<NA>0020Gom guesthouseUrban private room rental business for foreign tourists00<NA>00<NA>039.67<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>40
2963010000CDFI226221201800001520181217<NA>3폐업3폐업20190327<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 419-4번지서울특별시 중구 동호로14길 35, 1층 (신당동)4607프레시하우스2019-04-04U2019-04-06 02:40:00.0<NA>200833.8696450515.7807외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>1000Fresh HouseUrban private room rental business for foreign tourists00<NA>00<NA>050.48<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>50
2973010000CDFI226221201800001320181211<NA>3폐업3폐업20220811<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 390-38서울특별시 중구 청구로16길 26, 1층 (신당동)4613동대문ddp 게스트하우스2022-08-12U2022-08-14 02:40:00.0<NA>200885.9137451052.6316외국인관광 도시민박업<NA><NA>1<NA><NA>신당동<NA>10252dongdaemun ddp guesthouseUrban private room rental business for foreign tourists00<NA>00<NA>052.17<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>52