Overview

Dataset statistics

Number of variables60
Number of observations185
Missing cells5569
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.3 KiB
Average record size in memory521.7 B

Variable types

Categorical17
Text7
DateTime4
Unsupported21
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17474/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호주소 is highly imbalanced (73.8%)Imbalance
선박총톤수 is highly imbalanced (67.5%)Imbalance
선박척수 is highly imbalanced (67.5%)Imbalance
무대면적 is highly imbalanced (67.5%)Imbalance
좌석수 is highly imbalanced (67.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (67.5%)Imbalance
놀이시설수 is highly imbalanced (67.5%)Imbalance
인허가취소일자 has 185 (100.0%) missing valuesMissing
폐업일자 has 80 (43.2%) missing valuesMissing
휴업시작일자 has 185 (100.0%) missing valuesMissing
휴업종료일자 has 185 (100.0%) missing valuesMissing
재개업일자 has 185 (100.0%) missing valuesMissing
전화번호 has 144 (77.8%) missing valuesMissing
소재지면적 has 185 (100.0%) missing valuesMissing
소재지우편번호 has 132 (71.4%) missing valuesMissing
도로명우편번호 has 66 (35.7%) missing valuesMissing
업태구분명 has 185 (100.0%) missing valuesMissing
문화사업자구분명 has 185 (100.0%) missing valuesMissing
총층수 has 119 (64.3%) missing valuesMissing
제작취급품목내용 has 185 (100.0%) missing valuesMissing
보험기관명 has 185 (100.0%) missing valuesMissing
지상층수 has 116 (62.7%) missing valuesMissing
지하층수 has 123 (66.5%) missing valuesMissing
객실수 has 164 (88.6%) missing valuesMissing
건축연면적 has 167 (90.3%) missing valuesMissing
영문상호명 has 171 (92.4%) missing valuesMissing
선박제원 has 185 (100.0%) missing valuesMissing
기념품종류 has 185 (100.0%) missing valuesMissing
시설면적 has 115 (62.2%) missing valuesMissing
놀이기구수내역 has 185 (100.0%) missing valuesMissing
방송시설유무 has 185 (100.0%) missing valuesMissing
발전시설유무 has 185 (100.0%) missing valuesMissing
의무실유무 has 185 (100.0%) missing valuesMissing
안내소유무 has 185 (100.0%) missing valuesMissing
기획여행보험시작일자 has 185 (100.0%) missing valuesMissing
기획여행보험종료일자 has 185 (100.0%) missing valuesMissing
자본금 has 172 (93.0%) missing valuesMissing
보험시작일자 has 185 (100.0%) missing valuesMissing
보험종료일자 has 185 (100.0%) missing valuesMissing
부대시설내역 has 185 (100.0%) missing valuesMissing
시설규모 has 115 (62.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 7 (3.8%) zerosZeros
지상층수 has 6 (3.2%) zerosZeros
지하층수 has 10 (5.4%) zerosZeros
객실수 has 2 (1.1%) zerosZeros
건축연면적 has 11 (5.9%) zerosZeros
자본금 has 5 (2.7%) zerosZeros

Reproduction

Analysis started2024-05-10 22:39:42.810895
Analysis finished2024-05-10 22:39:44.608885
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3220000
185 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 185
100.0%

Length

2024-05-10T22:39:44.818310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:39:45.154267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 185
100.0%

관리번호
Text

UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T22:39:45.565054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3700
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

Unique185 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000009
2nd rowCDFI2262212020000001
3rd rowCDFI2262212019000014
4th rowCDFI2262212019000016
5th rowCDFI2262212019000013
ValueCountFrequency (%)
cdfi2262212023000009 1
 
0.5%
cdfi2262212016000011 1
 
0.5%
cdfi2262212013000007 1
 
0.5%
cdfi2262212014000019 1
 
0.5%
cdfi2262212014000021 1
 
0.5%
cdfi2262212014000022 1
 
0.5%
cdfi2262212012000006 1
 
0.5%
cdfi2262212012000008 1
 
0.5%
cdfi2262212012000004 1
 
0.5%
cdfi2262212013000011 1
 
0.5%
Other values (175) 175
94.6%
2024-05-10T22:39:46.478395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1032
27.9%
2 1020
27.6%
1 435
11.8%
6 225
 
6.1%
C 185
 
5.0%
D 185
 
5.0%
F 185
 
5.0%
I 185
 
5.0%
3 53
 
1.4%
5 50
 
1.4%
Other values (4) 145
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2960
80.0%
Uppercase Letter 740
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1032
34.9%
2 1020
34.5%
1 435
14.7%
6 225
 
7.6%
3 53
 
1.8%
5 50
 
1.7%
4 47
 
1.6%
9 40
 
1.4%
8 33
 
1.1%
7 25
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 185
25.0%
D 185
25.0%
F 185
25.0%
I 185
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2960
80.0%
Latin 740
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1032
34.9%
2 1020
34.5%
1 435
14.7%
6 225
 
7.6%
3 53
 
1.8%
5 50
 
1.7%
4 47
 
1.6%
9 40
 
1.4%
8 33
 
1.1%
7 25
 
0.8%
Latin
ValueCountFrequency (%)
C 185
25.0%
D 185
25.0%
F 185
25.0%
I 185
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1032
27.9%
2 1020
27.6%
1 435
11.8%
6 225
 
6.1%
C 185
 
5.0%
D 185
 
5.0%
F 185
 
5.0%
I 185
 
5.0%
3 53
 
1.4%
5 50
 
1.4%
Other values (4) 145
 
3.9%

인허가일자
Date

Distinct160
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2012-02-15 00:00:00
Maximum2024-05-08 00:00:00
2024-05-10T22:39:46.919241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:39:47.394409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
105 
1
80 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 105
56.8%
1 80
43.2%

Length

2024-05-10T22:39:47.830708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:39:48.157712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 105
56.8%
1 80
43.2%

영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
105 
영업/정상
80 

Length

Max length5
Median length2
Mean length3.2972973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
56.8%
영업/정상 80
43.2%

Length

2024-05-10T22:39:48.526896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:39:48.860218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
56.8%
영업/정상 80
43.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
105 
13
80 

Length

Max length2
Median length1
Mean length1.4324324
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 105
56.8%
13 80
43.2%

Length

2024-05-10T22:39:49.225405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:39:49.556683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 105
56.8%
13 80
43.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
105 
영업중
80 

Length

Max length3
Median length2
Mean length2.4324324
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
56.8%
영업중 80
43.2%

Length

2024-05-10T22:39:49.907173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:39:50.252577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
56.8%
영업중 80
43.2%

폐업일자
Date

MISSING 

Distinct100
Distinct (%)95.2%
Missing80
Missing (%)43.2%
Memory size1.6 KiB
Minimum2012-06-18 00:00:00
Maximum2023-05-18 00:00:00
2024-05-10T22:39:50.580831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:39:51.135488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing144
Missing (%)77.8%
Memory size1.6 KiB
2024-05-10T22:39:51.618990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.365854
Min length7

Characters and Unicode

Total characters425
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)90.2%

Sample

1st row02-445-6443
2nd row5650601
3rd row02-511-7422
4th row070-8118-3587
5th row02-566-1143
ValueCountFrequency (%)
566-2840 2
 
4.9%
02-563-7941 2
 
4.9%
02-6497-4916 1
 
2.4%
512-0189 1
 
2.4%
563-7879 1
 
2.4%
070-4112-0904 1
 
2.4%
6092-6254 1
 
2.4%
02-514-2356 1
 
2.4%
545-3352 1
 
2.4%
070-8156-1593 1
 
2.4%
Other values (29) 29
70.7%
2024-05-10T22:39:52.561685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 65
15.3%
0 53
12.5%
5 50
11.8%
2 42
9.9%
4 40
9.4%
1 36
8.5%
7 33
7.8%
6 32
7.5%
8 26
 
6.1%
3 25
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
84.7%
Dash Punctuation 65
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
14.7%
5 50
13.9%
2 42
11.7%
4 40
11.1%
1 36
10.0%
7 33
9.2%
6 32
8.9%
8 26
7.2%
3 25
6.9%
9 23
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 65
15.3%
0 53
12.5%
5 50
11.8%
2 42
9.9%
4 40
9.4%
1 36
8.5%
7 33
7.8%
6 32
7.5%
8 26
 
6.1%
3 25
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 65
15.3%
0 53
12.5%
5 50
11.8%
2 42
9.9%
4 40
9.4%
1 36
8.5%
7 33
7.8%
6 32
7.5%
8 26
 
6.1%
3 25
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Text

MISSING 

Distinct40
Distinct (%)75.5%
Missing132
Missing (%)71.4%
Memory size1.6 KiB
2024-05-10T22:39:53.005075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters371
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)58.5%

Sample

1st row135-811
2nd row135-795
3rd row135-890
4th row135-509
5th row135-955
ValueCountFrequency (%)
135-890 5
 
9.4%
135-949 3
 
5.7%
135-200 2
 
3.8%
135-811 2
 
3.8%
135-908 2
 
3.8%
135-847 2
 
3.8%
135-858 2
 
3.8%
135-815 2
 
3.8%
135-955 2
 
3.8%
135-011 1
 
1.9%
Other values (30) 30
56.6%
2024-05-10T22:39:53.990077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 73
19.7%
1 68
18.3%
3 56
15.1%
- 53
14.3%
9 35
9.4%
8 33
8.9%
0 19
 
5.1%
7 14
 
3.8%
4 9
 
2.4%
2 7
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 318
85.7%
Dash Punctuation 53
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 73
23.0%
1 68
21.4%
3 56
17.6%
9 35
11.0%
8 33
10.4%
0 19
 
6.0%
7 14
 
4.4%
4 9
 
2.8%
2 7
 
2.2%
6 4
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 73
19.7%
1 68
18.3%
3 56
15.1%
- 53
14.3%
9 35
9.4%
8 33
8.9%
0 19
 
5.1%
7 14
 
3.8%
4 9
 
2.4%
2 7
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 73
19.7%
1 68
18.3%
3 56
15.1%
- 53
14.3%
9 35
9.4%
8 33
8.9%
0 19
 
5.1%
7 14
 
3.8%
4 9
 
2.4%
2 7
 
1.9%

지번주소
Text

Distinct177
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T22:39:54.662266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.178378
Min length13

Characters and Unicode

Total characters4843
Distinct characters135
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

Unique171 ?
Unique (%)92.4%

Sample

1st row서울특별시 강남구 일원동 680 다세대주댁(6세대) 지층101호
2nd row서울특별시 강남구 역삼동 793-9 501호
3rd row서울특별시 강남구 삼성동 41-24 202호
4th row서울특별시 강남구 삼성동 41-24 302호
5th row서울특별시 강남구 삼성동 41-24
ValueCountFrequency (%)
서울특별시 185
18.7%
강남구 185
18.7%
역삼동 44
 
4.4%
신사동 36
 
3.6%
논현동 34
 
3.4%
삼성동 33
 
3.3%
청담동 20
 
2.0%
107 16
 
1.6%
401호 12
 
1.2%
대치동 10
 
1.0%
Other values (286) 414
41.9%
2024-05-10T22:39:55.649488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
804
 
16.6%
1 282
 
5.8%
동 225
 
4.6%
남 189
 
3.9%
강 188
 
3.9%
구 188
 
3.9%
서 186
 
3.8%
울 186
 
3.8%
특 185
 
3.8%
별 185
 
3.8%
Other values (125) 2225
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2660
54.9%
Decimal Number 1204
24.9%
Space Separator 804
 
16.6%
Dash Punctuation 147
 
3.0%
Uppercase Letter 14
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 3
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 225
 
8.5%
남 189
 
7.1%
강 188
 
7.1%
구 188
 
7.1%
서 186
 
7.0%
울 186
 
7.0%
특 185
 
7.0%
별 185
 
7.0%
시 185
 
7.0%
호 105
 
3.9%
Other values (102) 838
31.5%
Decimal Number
ValueCountFrequency (%)
1 282
23.4%
0 183
15.2%
2 153
12.7%
3 112
 
9.3%
5 106
 
8.8%
7 89
 
7.4%
6 87
 
7.2%
4 81
 
6.7%
8 58
 
4.8%
9 53
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
42.9%
I 2
 
14.3%
L 2
 
14.3%
R 1
 
7.1%
C 1
 
7.1%
H 1
 
7.1%
V 1
 
7.1%
Space Separator
ValueCountFrequency (%)
804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2660
54.9%
Common 2169
44.8%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 225
 
8.5%
남 189
 
7.1%
강 188
 
7.1%
구 188
 
7.1%
서 186
 
7.0%
울 186
 
7.0%
특 185
 
7.0%
별 185
 
7.0%
시 185
 
7.0%
호 105
 
3.9%
Other values (102) 838
31.5%
Common
ValueCountFrequency (%)
804
37.1%
1 282
 
13.0%
0 183
 
8.4%
2 153
 
7.1%
- 147
 
6.8%
3 112
 
5.2%
5 106
 
4.9%
7 89
 
4.1%
6 87
 
4.0%
4 81
 
3.7%
Other values (6) 125
 
5.8%
Latin
ValueCountFrequency (%)
B 6
42.9%
I 2
 
14.3%
L 2
 
14.3%
R 1
 
7.1%
C 1
 
7.1%
H 1
 
7.1%
V 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2660
54.9%
ASCII 2183
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
804
36.8%
1 282
 
12.9%
0 183
 
8.4%
2 153
 
7.0%
- 147
 
6.7%
3 112
 
5.1%
5 106
 
4.9%
7 89
 
4.1%
6 87
 
4.0%
4 81
 
3.7%
Other values (13) 139
 
6.4%
Hangul
ValueCountFrequency (%)
동 225
 
8.5%
남 189
 
7.1%
강 188
 
7.1%
구 188
 
7.1%
서 186
 
7.0%
울 186
 
7.0%
특 185
 
7.0%
별 185
 
7.0%
시 185
 
7.0%
호 105
 
3.9%
Other values (102) 838
31.5%

도로명주소
Text

Distinct180
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T22:39:56.351476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length35.421622
Min length23

Characters and Unicode

Total characters6553
Distinct characters161
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

Unique176 ?
Unique (%)95.1%

Sample

1st row서울특별시 강남구 양재대로33길 12, 지층 101호 (일원동, 다세대주댁(6세대))
2nd row서울특별시 강남구 논현로67길 41-1, 501호 (역삼동)
3rd row서울특별시 강남구 봉은사로63길 29, 202호 (삼성동)
4th row서울특별시 강남구 봉은사로63길 29, 302호 (삼성동)
5th row서울특별시 강남구 봉은사로63길 29, 402호 (삼성동)
ValueCountFrequency (%)
서울특별시 185
 
15.0%
강남구 185
 
15.0%
역삼동 45
 
3.7%
신사동 36
 
2.9%
논현동 34
 
2.8%
삼성동 33
 
2.7%
청담동 20
 
1.6%
401호 13
 
1.1%
301호 12
 
1.0%
대치동 10
 
0.8%
Other values (381) 659
53.5%
2024-05-10T22:39:57.364337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
 
16.0%
1 327
 
5.0%
동 250
 
3.8%
, 235
 
3.6%
0 209
 
3.2%
남 209
 
3.2%
강 207
 
3.2%
구 201
 
3.1%
2 189
 
2.9%
) 188
 
2.9%
Other values (151) 3491
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3474
53.0%
Decimal Number 1345
 
20.5%
Space Separator 1047
 
16.0%
Other Punctuation 235
 
3.6%
Close Punctuation 188
 
2.9%
Open Punctuation 188
 
2.9%
Dash Punctuation 56
 
0.9%
Uppercase Letter 16
 
0.2%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 250
 
7.2%
남 209
 
6.0%
강 207
 
6.0%
구 201
 
5.8%
로 187
 
5.4%
서 186
 
5.4%
울 186
 
5.4%
별 185
 
5.3%
시 185
 
5.3%
특 185
 
5.3%
Other values (126) 1493
43.0%
Decimal Number
ValueCountFrequency (%)
1 327
24.3%
0 209
15.5%
2 189
14.1%
3 155
11.5%
4 115
 
8.6%
5 91
 
6.8%
6 91
 
6.8%
8 63
 
4.7%
7 57
 
4.2%
9 48
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
43.8%
I 2
 
12.5%
L 2
 
12.5%
R 1
 
6.2%
A 1
 
6.2%
V 1
 
6.2%
H 1
 
6.2%
C 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1047
100.0%
Other Punctuation
ValueCountFrequency (%)
, 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3474
53.0%
Common 3062
46.7%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 250
 
7.2%
남 209
 
6.0%
강 207
 
6.0%
구 201
 
5.8%
로 187
 
5.4%
서 186
 
5.4%
울 186
 
5.4%
별 185
 
5.3%
시 185
 
5.3%
특 185
 
5.3%
Other values (126) 1493
43.0%
Common
ValueCountFrequency (%)
1047
34.2%
1 327
 
10.7%
, 235
 
7.7%
0 209
 
6.8%
2 189
 
6.2%
) 188
 
6.1%
( 188
 
6.1%
3 155
 
5.1%
4 115
 
3.8%
5 91
 
3.0%
Other values (6) 318
 
10.4%
Latin
ValueCountFrequency (%)
B 7
41.2%
I 2
 
11.8%
L 2
 
11.8%
R 1
 
5.9%
b 1
 
5.9%
A 1
 
5.9%
V 1
 
5.9%
H 1
 
5.9%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3474
53.0%
ASCII 3079
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
34.0%
1 327
 
10.6%
, 235
 
7.6%
0 209
 
6.8%
2 189
 
6.1%
) 188
 
6.1%
( 188
 
6.1%
3 155
 
5.0%
4 115
 
3.7%
5 91
 
3.0%
Other values (15) 335
 
10.9%
Hangul
ValueCountFrequency (%)
동 250
 
7.2%
남 209
 
6.0%
강 207
 
6.0%
구 201
 
5.8%
로 187
 
5.4%
서 186
 
5.4%
울 186
 
5.4%
별 185
 
5.3%
시 185
 
5.3%
특 185
 
5.3%
Other values (126) 1493
43.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)58.0%
Missing66
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean6119.3193
Minimum6012
Maximum6374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:39:57.785429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6012
5-th percentile6022.1
Q16039
median6112
Q36147
95-th percentile6261.6
Maximum6374
Range362
Interquartile range (IQR)108

Descriptive statistics

Standard deviation85.008667
Coefficient of variation (CV)0.01389185
Kurtosis0.53795623
Mean6119.3193
Median Absolute Deviation (MAD)54
Skewness0.99255324
Sum728199
Variance7226.4734
MonotonicityNot monotonic
2024-05-10T22:39:58.244535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6083 9
 
4.9%
6034 7
 
3.8%
6097 5
 
2.7%
6012 5
 
2.7%
6131 3
 
1.6%
6256 3
 
1.6%
6128 3
 
1.6%
6033 3
 
1.6%
6058 3
 
1.6%
6112 3
 
1.6%
Other values (59) 75
40.5%
(Missing) 66
35.7%
ValueCountFrequency (%)
6012 5
2.7%
6014 1
 
0.5%
6023 1
 
0.5%
6025 1
 
0.5%
6027 1
 
0.5%
6029 2
 
1.1%
6030 1
 
0.5%
6031 3
1.6%
6033 3
1.6%
6034 7
3.8%
ValueCountFrequency (%)
6374 1
 
0.5%
6343 1
 
0.5%
6342 1
 
0.5%
6339 2
1.1%
6312 1
 
0.5%
6256 3
1.6%
6255 1
 
0.5%
6254 1
 
0.5%
6245 2
1.1%
6244 1
 
0.5%

사업장명
Text

Distinct182
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-10T22:39:58.828811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length10.389189
Min length2

Characters and Unicode

Total characters1922
Distinct characters273
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)97.3%

Sample

1st row신비하우스
2nd row강남스테이
3rd row어퍼하우스(Upper house)#202
4th row어퍼하우스(Upper house)#302
5th row어퍼하우스
ValueCountFrequency (%)
게스트하우스 19
 
5.6%
house 13
 
3.8%
하우스 13
 
3.8%
강남 5
 
1.5%
guesthouse 5
 
1.5%
guest 4
 
1.2%
4
 
1.2%
가로수 3
 
0.9%
hill 3
 
0.9%
집 3
 
0.9%
Other values (248) 268
78.8%
2024-05-10T22:39:59.858242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 197
 
10.2%
161
 
8.4%
하 117
 
6.1%
우 116
 
6.0%
트 55
 
2.9%
e 55
 
2.9%
게 46
 
2.4%
) 43
 
2.2%
( 43
 
2.2%
s 39
 
2.0%
Other values (263) 1050
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
58.5%
Lowercase Letter 343
 
17.8%
Uppercase Letter 167
 
8.7%
Space Separator 161
 
8.4%
Close Punctuation 44
 
2.3%
Open Punctuation 44
 
2.3%
Decimal Number 22
 
1.1%
Other Punctuation 15
 
0.8%
Letter Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 197
 
17.5%
하 117
 
10.4%
우 116
 
10.3%
트 55
 
4.9%
게 46
 
4.1%
이 30
 
2.7%
강 22
 
2.0%
남 21
 
1.9%
로 13
 
1.2%
리 11
 
1.0%
Other values (199) 496
44.1%
Uppercase Letter
ValueCountFrequency (%)
H 23
13.8%
G 20
12.0%
A 14
 
8.4%
E 11
 
6.6%
S 10
 
6.0%
U 10
 
6.0%
O 9
 
5.4%
N 8
 
4.8%
C 7
 
4.2%
T 7
 
4.2%
Other values (13) 48
28.7%
Lowercase Letter
ValueCountFrequency (%)
e 55
16.0%
s 39
11.4%
u 35
10.2%
o 34
9.9%
a 29
8.5%
n 24
 
7.0%
t 21
 
6.1%
r 16
 
4.7%
l 14
 
4.1%
i 14
 
4.1%
Other values (12) 62
18.1%
Decimal Number
ValueCountFrequency (%)
2 6
27.3%
0 6
27.3%
1 4
18.2%
4 3
13.6%
3 2
 
9.1%
6 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 4
26.7%
. 3
20.0%
' 3
20.0%
# 3
20.0%
: 1
 
6.7%
; 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 43
97.7%
] 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 43
97.7%
[ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
161
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
58.5%
Latin 511
26.6%
Common 287
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 197
 
17.5%
하 117
 
10.4%
우 116
 
10.3%
트 55
 
4.9%
게 46
 
4.1%
이 30
 
2.7%
강 22
 
2.0%
남 21
 
1.9%
로 13
 
1.2%
리 11
 
1.0%
Other values (199) 496
44.1%
Latin
ValueCountFrequency (%)
e 55
 
10.8%
s 39
 
7.6%
u 35
 
6.8%
o 34
 
6.7%
a 29
 
5.7%
n 24
 
4.7%
H 23
 
4.5%
t 21
 
4.1%
G 20
 
3.9%
r 16
 
3.1%
Other values (36) 215
42.1%
Common
ValueCountFrequency (%)
161
56.1%
) 43
 
15.0%
( 43
 
15.0%
2 6
 
2.1%
0 6
 
2.1%
1 4
 
1.4%
& 4
 
1.4%
4 3
 
1.0%
. 3
 
1.0%
' 3
 
1.0%
Other values (8) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
58.5%
ASCII 797
41.5%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 197
 
17.5%
하 117
 
10.4%
우 116
 
10.3%
트 55
 
4.9%
게 46
 
4.1%
이 30
 
2.7%
강 22
 
2.0%
남 21
 
1.9%
로 13
 
1.2%
리 11
 
1.0%
Other values (199) 496
44.1%
ASCII
ValueCountFrequency (%)
161
20.2%
e 55
 
6.9%
) 43
 
5.4%
( 43
 
5.4%
s 39
 
4.9%
u 35
 
4.4%
o 34
 
4.3%
a 29
 
3.6%
n 24
 
3.0%
H 23
 
2.9%
Other values (53) 311
39.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct172
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2012-07-05 00:00:00
Maximum2024-05-08 15:48:35
2024-05-10T22:40:00.278723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:40:00.742084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
113 
I
72 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 113
61.1%
I 72
38.9%

Length

2024-05-10T22:40:01.179789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:01.570987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 113
61.1%
i 72
38.9%

데이터갱신일자
Date

Distinct67
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:00
Maximum2023-12-05 00:09:00
2024-05-10T22:40:01.914619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:40:02.394928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct152
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203505.95
Minimum201646.06
Maximum208252.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:02.770101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201646.06
5-th percentile201807.62
Q1202331.58
median203191.15
Q3204332.06
95-th percentile206158.99
Maximum208252.81
Range6606.7532
Interquartile range (IQR)2000.4817

Descriptive statistics

Standard deviation1460.8158
Coefficient of variation (CV)0.0071782458
Kurtosis1.3063319
Mean203505.95
Median Absolute Deviation (MAD)941.00628
Skewness1.1739068
Sum37648602
Variance2133982.7
MonotonicityNot monotonic
2024-05-10T22:40:03.228986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205271.2753 7
 
3.8%
204033.410363911 4
 
2.2%
201843.879 3
 
1.6%
202481.2093 3
 
1.6%
203817.8292 3
 
1.6%
203038.914313046 2
 
1.1%
201931.209 2
 
1.1%
203956.0122 2
 
1.1%
205436.7678 2
 
1.1%
201800.650930908 2
 
1.1%
Other values (142) 155
83.8%
ValueCountFrequency (%)
201646.0559 1
0.5%
201683.414501672 1
0.5%
201757.494098748 1
0.5%
201757.4941 1
0.5%
201770.31316288 1
0.5%
201770.3132 1
0.5%
201782.412262316 1
0.5%
201793.1074 1
0.5%
201800.650930908 2
1.1%
201835.506 2
1.1%
ValueCountFrequency (%)
208252.8091 1
0.5%
208252.809070544 1
0.5%
207979.2184 1
0.5%
207950.1375 1
0.5%
207640.158091067 1
0.5%
207429.65889291 1
0.5%
207409.945 1
0.5%
207276.354147766 1
0.5%
207236.905 1
0.5%
206268.4921 1
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct152
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445377.21
Minimum441162.83
Maximum447864.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:03.670476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441162.83
5-th percentile443162.66
Q1444488.15
median445516.88
Q3446453.82
95-th percentile447165.64
Maximum447864.76
Range6701.9301
Interquartile range (IQR)1965.6713

Descriptive statistics

Standard deviation1322.9199
Coefficient of variation (CV)0.0029703357
Kurtosis0.37943683
Mean445377.21
Median Absolute Deviation (MAD)992.3791
Skewness-0.72181526
Sum82394785
Variance1750116.9
MonotonicityNot monotonic
2024-05-10T22:40:04.129729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445852.6388 7
 
3.8%
445662.790414156 4
 
2.2%
446343.9343 3
 
1.6%
445516.8768 3
 
1.6%
446703.7005 3
 
1.6%
443722.645598177 2
 
1.1%
446453.8209 2
 
1.1%
444381.2132 2
 
1.1%
444964.5607 2
 
1.1%
445926.960244994 2
 
1.1%
Other values (142) 155
83.8%
ValueCountFrequency (%)
441162.8336 1
0.5%
441331.60995168 1
0.5%
441331.61 1
0.5%
441463.9651 1
0.5%
442456.7113 1
0.5%
442526.2536 1
0.5%
442966.5736 1
0.5%
443103.7942 1
0.5%
443127.171629449 1
0.5%
443139.6617 1
0.5%
ValueCountFrequency (%)
447864.7637 1
0.5%
447411.4644 1
0.5%
447248.0645 1
0.5%
447247.212 1
0.5%
447247.211960019 1
0.5%
447209.6881 1
0.5%
447209.688090738 2
1.1%
447203.84 1
0.5%
447179.9095 1
0.5%
447108.564 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
외국인관광 도시민박업
113 
<NA>
72 

Length

Max length11
Median length11
Mean length8.2756757
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 (%)
외국인관광 도시민박업 113
61.1%
<NA> 72
38.9%

Length

2024-05-10T22:40:04.528693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:04.879738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 113
37.9%
도시민박업 113
37.9%
na 72
24.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Categorical

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
113 
일반주거지역
44 
주거지역
18 
전용주거지역
 
8
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.5837838
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> 113
61.1%
일반주거지역 44
 
23.8%
주거지역 18
 
9.7%
전용주거지역 8
 
4.3%
일반상업지역 2
 
1.1%

Length

2024-05-10T22:40:05.277652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:05.872489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
61.1%
일반주거지역 44
 
23.8%
주거지역 18
 
9.7%
전용주거지역 8
 
4.3%
일반상업지역 2
 
1.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)24.2%
Missing119
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean6.4393939
Minimum0
Maximum29
Zeros7
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:06.228574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q38.5
95-th percentile17.75
Maximum29
Range29
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.1045476
Coefficient of variation (CV)0.94800033
Kurtosis3.1527461
Mean6.4393939
Median Absolute Deviation (MAD)1
Skewness1.7544423
Sum425
Variance37.265501
MonotonicityNot monotonic
2024-05-10T22:40:06.609940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 16
 
8.6%
3 16
 
8.6%
0 7
 
3.8%
6 4
 
2.2%
13 4
 
2.2%
16 3
 
1.6%
9 3
 
1.6%
7 3
 
1.6%
10 2
 
1.1%
5 2
 
1.1%
Other values (6) 6
 
3.2%
(Missing) 119
64.3%
ValueCountFrequency (%)
0 7
3.8%
1 1
 
0.5%
3 16
8.6%
4 16
8.6%
5 2
 
1.1%
6 4
 
2.2%
7 3
 
1.6%
9 3
 
1.6%
10 2
 
1.1%
13 4
 
2.2%
ValueCountFrequency (%)
29 1
 
0.5%
26 1
 
0.5%
20 1
 
0.5%
18 1
 
0.5%
17 1
 
0.5%
16 3
1.6%
13 4
2.2%
10 2
1.1%
9 3
1.6%
7 3
1.6%

주변환경명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
131 
주택가주변
39 
아파트지역
14 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length4.3081081
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
70.8%
주택가주변 39
 
21.1%
아파트지역 14
 
7.6%
학교정화(상대) 1
 
0.5%

Length

2024-05-10T22:40:07.064113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:07.394963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
70.8%
주택가주변 39
 
21.1%
아파트지역 14
 
7.6%
학교정화(상대 1
 
0.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

건물용도명
Categorical

Distinct7
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
116 
다가구용 주택(공동주택적용)
23 
아파트
23 
단독주택
 
11
다세대주택
 
6
Other values (2)
 
6

Length

Max length15
Median length4
Mean length5.2864865
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 116
62.7%
다가구용 주택(공동주택적용) 23
 
12.4%
아파트 23
 
12.4%
단독주택 11
 
5.9%
다세대주택 6
 
3.2%
연립주택 5
 
2.7%
근린생활시설 1
 
0.5%

Length

2024-05-10T22:40:07.755606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:08.113124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
55.8%
다가구용 23
 
11.1%
주택(공동주택적용 23
 
11.1%
아파트 23
 
11.1%
단독주택 11
 
5.3%
다세대주택 6
 
2.9%
연립주택 5
 
2.4%
근린생활시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)24.6%
Missing116
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean5.4202899
Minimum0
Maximum23
Zeros6
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:08.500439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.4107893
Coefficient of variation (CV)0.99824723
Kurtosis2.0913912
Mean5.4202899
Median Absolute Deviation (MAD)2
Skewness1.6415224
Sum374
Variance29.276641
MonotonicityNot monotonic
2024-05-10T22:40:08.798694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 16
 
8.6%
3 15
 
8.1%
0 6
 
3.2%
6 5
 
2.7%
5 5
 
2.7%
4 3
 
1.6%
12 3
 
1.6%
7 3
 
1.6%
13 2
 
1.1%
15 2
 
1.1%
Other values (7) 9
 
4.9%
(Missing) 116
62.7%
ValueCountFrequency (%)
0 6
 
3.2%
1 2
 
1.1%
2 16
8.6%
3 15
8.1%
4 3
 
1.6%
5 5
 
2.7%
6 5
 
2.7%
7 3
 
1.6%
8 1
 
0.5%
9 1
 
0.5%
ValueCountFrequency (%)
23 1
 
0.5%
22 1
 
0.5%
19 1
 
0.5%
17 2
1.1%
15 2
1.1%
13 2
1.1%
12 3
1.6%
9 1
 
0.5%
8 1
 
0.5%
7 3
1.6%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)12.9%
Missing123
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean1.5645161
Minimum0
Maximum24
Zeros10
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:09.057594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.95
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0921422
Coefficient of variation (CV)1.9764208
Kurtosis47.102718
Mean1.5645161
Median Absolute Deviation (MAD)0
Skewness6.5296276
Sum97
Variance9.5613432
MonotonicityNot monotonic
2024-05-10T22:40:09.324997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 40
 
21.6%
0 10
 
5.4%
2 6
 
3.2%
3 2
 
1.1%
5 1
 
0.5%
4 1
 
0.5%
24 1
 
0.5%
6 1
 
0.5%
(Missing) 123
66.5%
ValueCountFrequency (%)
0 10
 
5.4%
1 40
21.6%
2 6
 
3.2%
3 2
 
1.1%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
24 1
 
0.5%
ValueCountFrequency (%)
24 1
 
0.5%
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 2
 
1.1%
2 6
 
3.2%
1 40
21.6%
0 10
 
5.4%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)38.1%
Missing164
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean2.4285714
Minimum0
Maximum7
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:09.643126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0632845
Coefficient of variation (CV)0.84958773
Kurtosis-0.097743345
Mean2.4285714
Median Absolute Deviation (MAD)1
Skewness0.98071301
Sum51
Variance4.2571429
MonotonicityNot monotonic
2024-05-10T22:40:09.996762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8
 
4.3%
2 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%
0 2
 
1.1%
5 1
 
0.5%
7 1
 
0.5%
4 1
 
0.5%
(Missing) 164
88.6%
ValueCountFrequency (%)
0 2
 
1.1%
1 8
4.3%
2 3
 
1.6%
3 3
 
1.6%
4 1
 
0.5%
5 1
 
0.5%
6 2
 
1.1%
7 1
 
0.5%
ValueCountFrequency (%)
7 1
 
0.5%
6 2
 
1.1%
5 1
 
0.5%
4 1
 
0.5%
3 3
 
1.6%
2 3
 
1.6%
1 8
4.3%
0 2
 
1.1%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)44.4%
Missing167
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean39.055556
Minimum0
Maximum188
Zeros11
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:10.340884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372.75
95-th percentile150.6
Maximum188
Range188
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation59.249693
Coefficient of variation (CV)1.5170618
Kurtosis0.99387378
Mean39.055556
Median Absolute Deviation (MAD)0
Skewness1.3956367
Sum703
Variance3510.5261
MonotonicityNot monotonic
2024-05-10T22:40:10.699652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 11
 
5.9%
144 1
 
0.5%
33 1
 
0.5%
63 1
 
0.5%
76 1
 
0.5%
188 1
 
0.5%
114 1
 
0.5%
85 1
 
0.5%
(Missing) 167
90.3%
ValueCountFrequency (%)
0 11
5.9%
33 1
 
0.5%
63 1
 
0.5%
76 1
 
0.5%
85 1
 
0.5%
114 1
 
0.5%
144 1
 
0.5%
188 1
 
0.5%
ValueCountFrequency (%)
188 1
 
0.5%
144 1
 
0.5%
114 1
 
0.5%
85 1
 
0.5%
76 1
 
0.5%
63 1
 
0.5%
33 1
 
0.5%
0 11
5.9%

영문상호명
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing171
Missing (%)92.4%
Memory size1.6 KiB
2024-05-10T22:40:11.095016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length15.071429
Min length4

Characters and Unicode

Total characters211
Distinct characters41
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

Unique14 ?
Unique (%)100.0%

Sample

1st rowJinny Home
2nd rowGAEPO-HOUSE
3rd rowSeolleung guest house Haenal
4th rowCasa D’Oro
5th rowRICH HOUSE
ValueCountFrequency (%)
house 6
 
16.7%
in 3
 
8.3%
seoul 3
 
8.3%
guest 2
 
5.6%
guesthouse 2
 
5.6%
jinny 1
 
2.8%
denis's 1
 
2.8%
garosu 1
 
2.8%
onl 1
 
2.8%
fred 1
 
2.8%
Other values (15) 15
41.7%
2024-05-10T22:40:11.933286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
10.4%
s 15
 
7.1%
e 15
 
7.1%
H 11
 
5.2%
o 11
 
5.2%
u 11
 
5.2%
O 10
 
4.7%
n 10
 
4.7%
S 10
 
4.7%
E 10
 
4.7%
Other values (31) 86
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 98
46.4%
Uppercase Letter 85
40.3%
Space Separator 22
 
10.4%
Other Punctuation 3
 
1.4%
Decimal Number 1
 
0.5%
Final Punctuation 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 11
12.9%
O 10
11.8%
S 10
11.8%
E 10
11.8%
U 8
9.4%
G 5
 
5.9%
A 4
 
4.7%
C 3
 
3.5%
T 3
 
3.5%
I 3
 
3.5%
Other values (11) 18
21.2%
Lowercase Letter
ValueCountFrequency (%)
s 15
15.3%
e 15
15.3%
o 11
11.2%
u 11
11.2%
n 10
10.2%
a 7
7.1%
i 6
 
6.1%
l 5
 
5.1%
t 4
 
4.1%
g 3
 
3.1%
Other values (5) 11
11.2%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 183
86.7%
Common 28
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 15
 
8.2%
e 15
 
8.2%
H 11
 
6.0%
o 11
 
6.0%
u 11
 
6.0%
O 10
 
5.5%
n 10
 
5.5%
S 10
 
5.5%
E 10
 
5.5%
U 8
 
4.4%
Other values (26) 72
39.3%
Common
ValueCountFrequency (%)
22
78.6%
' 3
 
10.7%
2 1
 
3.6%
’ 1
 
3.6%
- 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
99.5%
Punctuation 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
 
10.5%
s 15
 
7.1%
e 15
 
7.1%
H 11
 
5.2%
o 11
 
5.2%
u 11
 
5.2%
O 10
 
4.8%
n 10
 
4.8%
S 10
 
4.8%
E 10
 
4.8%
Other values (30) 85
40.5%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
171 
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST
 
13
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST
 
1

Length

Max length44
Median length4
Mean length6.9567568
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
92.4%
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST 13
 
7.0%
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST 1
 
0.5%

Length

2024-05-10T22:40:12.472152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:12.841906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
63.6%
urban 14
 
5.2%
home 14
 
5.2%
visit 14
 
5.2%
system 14
 
5.2%
for 14
 
5.2%
foreign 14
 
5.2%
tourist 14
 
5.2%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:13.234026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:13.579768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:13.967329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:14.243928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:14.528107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:14.823956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:15.234539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:15.572454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:15.938147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:16.280665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

시설면적
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)94.3%
Missing115
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean107.83614
Minimum9.45
Maximum250.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:16.642698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.45
5-th percentile28.6085
Q162.6475
median98.72
Q3152.51
95-th percentile200.7415
Maximum250.1
Range240.65
Interquartile range (IQR)89.8625

Descriptive statistics

Standard deviation58.200028
Coefficient of variation (CV)0.53970799
Kurtosis-0.60503937
Mean107.83614
Median Absolute Deviation (MAD)44.105
Skewness0.39736264
Sum7548.53
Variance3387.2432
MonotonicityNot monotonic
2024-05-10T22:40:17.261144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.97 2
 
1.1%
149.27 2
 
1.1%
83.0 2
 
1.1%
83.6 2
 
1.1%
153.59 1
 
0.5%
79.75 1
 
0.5%
198.25 1
 
0.5%
61.67 1
 
0.5%
113.31 1
 
0.5%
183.84 1
 
0.5%
Other values (56) 56
30.3%
(Missing) 115
62.2%
ValueCountFrequency (%)
9.45 1
0.5%
11.09 1
0.5%
11.1 1
0.5%
27.47 1
0.5%
30.0 1
0.5%
35.51 1
0.5%
36.93 1
0.5%
38.1 1
0.5%
40.62 1
0.5%
41.82 1
0.5%
ValueCountFrequency (%)
250.1 1
0.5%
228.12 1
0.5%
225.5 1
0.5%
202.78 1
0.5%
198.25 1
0.5%
198.02 1
0.5%
188.54 1
0.5%
183.84 1
0.5%
181.92 1
0.5%
180.02 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
11

Length

Max length4
Median length4
Mean length3.8216216
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> 174
94.1%
0 11
 
5.9%

Length

2024-05-10T22:40:17.689723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:40:18.079787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
94.1%
0 11
 
5.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing172
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean33076923
Minimum0
Maximum1 × 108
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:18.444084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20000000
Q350000000
95-th percentile1 × 108
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation40903263
Coefficient of variation (CV)1.2366103
Kurtosis-0.64748834
Mean33076923
Median Absolute Deviation (MAD)20000000
Skewness1.0164411
Sum4.3 × 108
Variance1.6730769 × 1015
MonotonicityNot monotonic
2024-05-10T22:40:18.825662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
2.7%
100000000 3
 
1.6%
20000000 2
 
1.1%
30000000 1
 
0.5%
10000000 1
 
0.5%
50000000 1
 
0.5%
(Missing) 172
93.0%
ValueCountFrequency (%)
0 5
2.7%
10000000 1
 
0.5%
20000000 2
 
1.1%
30000000 1
 
0.5%
50000000 1
 
0.5%
100000000 3
1.6%
ValueCountFrequency (%)
100000000 3
1.6%
50000000 1
 
0.5%
30000000 1
 
0.5%
20000000 2
 
1.1%
10000000 1
 
0.5%
0 5
2.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)80.0%
Missing115
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean107.94286
Minimum9
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-10T22:40:19.255323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile28.35
Q163
median99
Q3152.75
95-th percentile200.75
Maximum250
Range241
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation58.217953
Coefficient of variation (CV)0.53934048
Kurtosis-0.60492315
Mean107.94286
Median Absolute Deviation (MAD)44
Skewness0.39387178
Sum7556
Variance3389.33
MonotonicityNot monotonic
2024-05-10T22:40:19.759170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 4
 
2.2%
83 2
 
1.1%
110 2
 
1.1%
11 2
 
1.1%
198 2
 
1.1%
84 2
 
1.1%
111 2
 
1.1%
149 2
 
1.1%
180 2
 
1.1%
128 2
 
1.1%
Other values (46) 48
25.9%
(Missing) 115
62.2%
ValueCountFrequency (%)
9 1
0.5%
11 2
1.1%
27 1
0.5%
30 1
0.5%
36 1
0.5%
37 1
0.5%
38 1
0.5%
41 1
0.5%
42 1
0.5%
44 1
0.5%
ValueCountFrequency (%)
250 1
0.5%
228 1
0.5%
226 1
0.5%
203 1
0.5%
198 2
1.1%
189 1
0.5%
184 1
0.5%
182 1
0.5%
180 2
1.1%
179 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03220000CDFI22622120230000092023-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 680 다세대주댁(6세대) 지층101호서울특별시 강남구 양재대로33길 12, 지층 101호 (일원동, 다세대주댁(6세대))6343신비하우스2023-08-09 14:02:37I2022-12-07 23:02:00.0<NA>207276.354148443127.171629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFI22622120200000012020-01-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 793-9 501호서울특별시 강남구 논현로67길 41-1, 501호 (역삼동)6256강남스테이2023-08-23 11:43:21U2022-12-07 22:05:00.0<NA>203167.009823443432.30214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFI22622120190000142019-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 41-24 202호서울특별시 강남구 봉은사로63길 29, 202호 (삼성동)6097어퍼하우스(Upper house)#2022023-08-23 11:35:57U2022-12-07 22:05:00.0<NA>204033.410364445662.790414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFI22622120190000162019-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 41-24 302호서울특별시 강남구 봉은사로63길 29, 302호 (삼성동)6097어퍼하우스(Upper house)#3022023-08-23 11:36:53U2022-12-07 22:05:00.0<NA>204033.410364445662.790414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFI22622120190000132019-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 41-24서울특별시 강남구 봉은사로63길 29, 402호 (삼성동)6097어퍼하우스2023-08-23 11:35:15U2022-12-07 22:05:00.0<NA>204033.410364445662.790414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFI22622120190000072019-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 107 삼성동 미켈란 107 1001호서울특별시 강남구 영동대로 602, 1001호 (삼성동, 삼성동 미켈란 107)6083광택하우스2023-08-23 11:31:55U2022-12-07 22:05:00.0<NA>205271.275273445852.638814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI22622120190000052019-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 125-10 RICH VILL 401호서울특별시 강남구 강남대로128길 65, 401호 (논현동, RICH VILL)6111준형하우스2023-08-23 11:30:01U2022-12-07 22:05:00.0<NA>202283.898502445552.374557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFI22622120190000032019-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 559-3 301호서울특별시 강남구 도산대로23길 25, 301호 (신사동)6037문석하우스2023-08-23 11:28:59U2022-12-07 22:05:00.0<NA>202199.862156446481.146091<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFI22622120190000022019-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 136-28서울특별시 강남구 강남대로128길 64-2, 201호 (논현동)6113정호하우스2023-08-23 11:26:57U2022-12-07 22:05:00.0<NA>202283.723543445512.432876<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFI22622120160000162016-09-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-445-6443<NA><NA>서울특별시 강남구 일원동 646-2서울특별시 강남구 양재대로53길 11 (일원동)6342로즈하우스2023-08-23 10:53:53U2022-12-07 22:05:00.0<NA>207640.158091443254.674652<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1753220000CDFI226221201700000820171124<NA>3폐업3폐업20201029<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 77-9서울특별시 강남구 언주로135길 32-3 (논현동)6051낭만적인 강남2020-10-29U2020-10-31 02:40:00.0<NA>202800.1928446062.7707외국인관광 도시민박업<NA>일반주거지역3<NA><NA><NA>단독주택21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>225.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>226
1763220000CDFI226221201800000120180222<NA>3폐업3폐업20180604<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 830-46번지 파크앤스위트서울특별시 강남구 역삼로7길 13, 402호 (역삼동, 파크앤스위트)6243리본 게스트하우스2018-06-04I2018-08-31 23:59:00.0<NA>202820.283443630.0761외국인관광 도시민박업<NA>일반주거지역9학교정화(상대)<NA><NA>아파트72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76.61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>77
1773220000CDFI226221201800000220180228<NA>3폐업3폐업20181231<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 555-15번지서울특별시 강남구 논현로155길 39 (신사동)6033조니하우스2018-12-31U2019-01-02 02:40:00.0<NA>202155.2352446519.2468외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>다세대주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37
1783220000CDFI226221201400002320141226<NA>3폐업3폐업20150730<NA><NA><NA>070-4193-5945<NA>135-890서울특별시 강남구 신사동 556-12번지서울특별시 강남구 논현로157길 33, 4층 (신사동)<NA>멜팅 팟 하우스(Melting Pot House)2015-07-30I2018-08-31 23:59:00.0<NA>202186.9801446620.4111외국인관광 도시민박업<NA>일반주거지역6주택가주변<NA><NA>다가구용 주택(공동주택적용)51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>181.92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>182
1793220000CDFI226221201500000120150119<NA>3폐업3폐업20201229<NA><NA><NA><NA><NA>135-950서울특별시 강남구 청담동 34-1 영동골든빌라 나동 303호서울특별시 강남구 학동로67길 20, 나동 303호 (청담동, 영동골들빌라)<NA>케이걸 하우스(K-Girl House)2020-12-29U2020-12-31 02:40:00.0<NA>204107.9255446383.4142외국인관광 도시민박업<NA>주거지역4주택가주변<NA><NA>연립주택31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>110.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>111
1803220000CDFI226221201500000220150127<NA>3폐업3폐업20150630<NA><NA><NA><NA><NA>135-917서울특별시 강남구 역삼동 697-40번지 세일빌라 101호서울특별시 강남구 테헤란로51길 28, 101호 (역삼동, 세일빌라)<NA>세일게스트하우스2015-11-11I2018-08-31 23:59:00.0<NA>203969.0762444815.8152외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1813220000CDFI226221201500000320150127<NA>3폐업3폐업20180117<NA><NA><NA>566-2840<NA>135-919서울특별시 강남구 역삼동 713-7번지 래미안펜타빌(아) 103동 1002호서울특별시 강남구 역삼로 309, 103동 1002호 (역삼동, 래미안펜타빌(아))<NA>지니스(Jinny's)2018-01-17I2018-08-31 23:59:00.0<NA>204133.3639444277.4637외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1823220000CDFI226221201700000120170118<NA>3폐업3폐업20181019<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 123-12번지 가동 301호서울특별시 강남구 학동로8길 16, 가동 301호 (논현동, 현대빌라)6111스위트 하우스(Sweet House)2018-10-19U2018-10-21 02:36:00.0<NA>202117.1889445402.7179외국인관광 도시민박업<NA>일반주거지역5주택가주변<NA><NA>연립주택41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1833220000CDFI226221201800001620181116<NA>3폐업3폐업20220728<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 107 삼성동 미켈란 107서울특별시 강남구 영동대로 602, 1403호 (삼성동, 삼성동 미켈란 107)6083민혁하우스2022-07-29U2022-07-31 02:40:00.0<NA>205271.2753445852.6388외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1843220000CDFI226221201800001720181116<NA>3폐업3폐업20210902<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 107 삼성동 미켈란 107서울특별시 강남구 영동대로 602, 1003호 (삼성동, 삼성동 미켈란 107)6083현희하우스2023-03-20U2023-03-22 02:40:00.0<NA>205271.2753445852.6388외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>