Overview

Dataset statistics

Number of variables60
Number of observations185
Missing cells4963
Missing cells (%)44.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.3 KiB
Average record size in memory521.7 B

Variable types

Categorical18
Text7
DateTime4
Unsupported21
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17452/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 185 (100.0%) missing valuesMissing
폐업일자 has 111 (60.0%) 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 159 (85.9%) missing valuesMissing
소재지면적 has 185 (100.0%) missing valuesMissing
소재지우편번호 has 164 (88.6%) missing valuesMissing
도로명우편번호 has 25 (13.5%) missing valuesMissing
업태구분명 has 185 (100.0%) missing valuesMissing
문화사업자구분명 has 185 (100.0%) missing valuesMissing
총층수 has 62 (33.5%) missing valuesMissing
제작취급품목내용 has 185 (100.0%) missing valuesMissing
보험기관명 has 185 (100.0%) missing valuesMissing
지상층수 has 53 (28.6%) missing valuesMissing
객실수 has 99 (53.5%) missing valuesMissing
건축연면적 has 142 (76.8%) missing valuesMissing
영문상호명 has 75 (40.5%) missing valuesMissing
선박제원 has 185 (100.0%) missing valuesMissing
기념품종류 has 185 (100.0%) missing valuesMissing
시설면적 has 30 (16.2%) 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 128 (69.2%) 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 30 (16.2%) 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 27 (14.6%) zerosZeros
지상층수 has 27 (14.6%) zerosZeros
객실수 has 19 (10.3%) zerosZeros
건축연면적 has 31 (16.8%) zerosZeros
자본금 has 33 (17.8%) zerosZeros

Reproduction

Analysis started2024-04-06 12:29:33.484995
Analysis finished2024-04-06 12:29:34.893039
Duration1.41 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
3000000
185 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3000000 185
100.0%

Length

2024-04-06T21:29:35.025086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:35.225896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 185
100.0%

관리번호
Text

UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-06T21:29:35.561916image/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 rowCDFI2262212023000018
2nd rowCDFI2262212023000017
3rd rowCDFI2262212023000014
4th rowCDFI2262212024000009
5th rowCDFI2262212023000015
ValueCountFrequency (%)
cdfi2262212023000018 1
 
0.5%
cdfi2262212013000005 1
 
0.5%
cdfi2262212017000008 1
 
0.5%
cdfi2262212019000016 1
 
0.5%
cdfi2262212019000015 1
 
0.5%
cdfi2262212019000018 1
 
0.5%
cdfi2262212020000002 1
 
0.5%
cdfi2262212021000003 1
 
0.5%
cdfi2262212021000001 1
 
0.5%
cdfi2262212017000027 1
 
0.5%
Other values (175) 175
94.6%
2024-04-06T21:29:36.160862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1049
28.4%
2 1037
28.0%
1 412
 
11.1%
6 222
 
6.0%
C 185
 
5.0%
D 185
 
5.0%
F 185
 
5.0%
I 185
 
5.0%
3 55
 
1.5%
4 49
 
1.3%
Other values (4) 136
 
3.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1049
35.4%
2 1037
35.0%
1 412
 
13.9%
6 222
 
7.5%
3 55
 
1.9%
4 49
 
1.7%
7 44
 
1.5%
9 32
 
1.1%
5 31
 
1.0%
8 29
 
1.0%
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 1049
35.4%
2 1037
35.0%
1 412
 
13.9%
6 222
 
7.5%
3 55
 
1.9%
4 49
 
1.7%
7 44
 
1.5%
9 32
 
1.1%
5 31
 
1.0%
8 29
 
1.0%
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 1049
28.4%
2 1037
28.0%
1 412
 
11.1%
6 222
 
6.0%
C 185
 
5.0%
D 185
 
5.0%
F 185
 
5.0%
I 185
 
5.0%
3 55
 
1.5%
4 49
 
1.3%
Other values (4) 136
 
3.7%
Distinct160
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2012-02-14 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T21:29:36.392012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:29:36.632308image/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
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
111 
3
74 

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 (%)
1 111
60.0%
3 74
40.0%

Length

2024-04-06T21:29:36.884436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:37.080584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 111
60.0%
3 74
40.0%

영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
111 
폐업
74 

Length

Max length5
Median length5
Mean length3.8
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 (%)
영업/정상 111
60.0%
폐업 74
40.0%

Length

2024-04-06T21:29:37.338344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:37.547955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 111
60.0%
폐업 74
40.0%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
13
111 
3
74 

Length

Max length2
Median length2
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 111
60.0%
3 74
40.0%

Length

2024-04-06T21:29:37.750858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:38.030120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 111
60.0%
3 74
40.0%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업중
111 
폐업
74 

Length

Max length3
Median length3
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 111
60.0%
폐업 74
40.0%

Length

2024-04-06T21:29:38.273582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:38.595820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 111
60.0%
폐업 74
40.0%

폐업일자
Date

MISSING 

Distinct73
Distinct (%)98.6%
Missing111
Missing (%)60.0%
Memory size1.6 KiB
Minimum2013-11-22 00:00:00
Maximum2023-12-31 00:00:00
2024-04-06T21:29:38.870996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:29:39.692140image/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 

Distinct24
Distinct (%)92.3%
Missing159
Missing (%)85.9%
Memory size1.6 KiB
2024-04-06T21:29:40.098593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.961538
Min length8

Characters and Unicode

Total characters285
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

Unique22 ?
Unique (%)84.6%

Sample

1st row070-7516-5565
2nd row02-722-5979
3rd row02-723-0230
4th row02-396-7425
5th row02-723-0847
ValueCountFrequency (%)
070-7516-5565 2
 
7.7%
02-745-3930 2
 
7.7%
02-722-0048 1
 
3.8%
02-762-2926 1
 
3.8%
02-333-5784 1
 
3.8%
02-720-4660 1
 
3.8%
070-5017-7661 1
 
3.8%
735-7071 1
 
3.8%
070-8801-8711 1
 
3.8%
02-764-0685 1
 
3.8%
Other values (14) 14
53.8%
2024-04-06T21:29:40.741808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47
16.5%
- 45
15.8%
2 41
14.4%
7 39
13.7%
5 24
8.4%
3 20
7.0%
6 19
6.7%
1 14
 
4.9%
8 14
 
4.9%
4 11
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
84.2%
Dash Punctuation 45
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
19.6%
2 41
17.1%
7 39
16.2%
5 24
10.0%
3 20
8.3%
6 19
7.9%
1 14
 
5.8%
8 14
 
5.8%
4 11
 
4.6%
9 11
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 285
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
16.5%
- 45
15.8%
2 41
14.4%
7 39
13.7%
5 24
8.4%
3 20
7.0%
6 19
6.7%
1 14
 
4.9%
8 14
 
4.9%
4 11
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47
16.5%
- 45
15.8%
2 41
14.4%
7 39
13.7%
5 24
8.4%
3 20
7.0%
6 19
6.7%
1 14
 
4.9%
8 14
 
4.9%
4 11
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)81.0%
Missing164
Missing (%)88.6%
Memory size1.6 KiB
2024-04-06T21:29:41.177561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters147
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

Unique13 ?
Unique (%)61.9%

Sample

1st row110-500
2nd row110-863
3rd row110-045
4th row110-460
5th row110-360
ValueCountFrequency (%)
110-522 2
 
9.5%
110-500 2
 
9.5%
110-043 2
 
9.5%
110-062 2
 
9.5%
110-877 1
 
4.8%
110-818 1
 
4.8%
110-827 1
 
4.8%
110-809 1
 
4.8%
110-803 1
 
4.8%
110-040 1
 
4.8%
Other values (7) 7
33.3%
2024-04-06T21:29:41.712293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
29.3%
0 39
26.5%
- 21
14.3%
8 9
 
6.1%
2 8
 
5.4%
5 6
 
4.1%
3 6
 
4.1%
6 5
 
3.4%
4 5
 
3.4%
7 3
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
85.7%
Dash Punctuation 21
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
34.1%
0 39
31.0%
8 9
 
7.1%
2 8
 
6.3%
5 6
 
4.8%
3 6
 
4.8%
6 5
 
4.0%
4 5
 
4.0%
7 3
 
2.4%
9 2
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 147
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43
29.3%
0 39
26.5%
- 21
14.3%
8 9
 
6.1%
2 8
 
5.4%
5 6
 
4.1%
3 6
 
4.1%
6 5
 
3.4%
4 5
 
3.4%
7 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
29.3%
0 39
26.5%
- 21
14.3%
8 9
 
6.1%
2 8
 
5.4%
5 6
 
4.1%
3 6
 
4.1%
6 5
 
3.4%
4 5
 
3.4%
7 3
 
2.0%
Distinct176
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-06T21:29:42.483563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length22.178378
Min length16

Characters and Unicode

Total characters4103
Distinct characters144
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)90.8%

Sample

1st row서울특별시 종로구 연건동 296-14
2nd row서울특별시 종로구 동숭동 129-199 자매빌딩 401호
3rd row서울특별시 종로구 창신동 630-1 창신동 아트브릿지 문화복합주택 401호
4th row서울특별시 종로구 이화동 9-324
5th row서울특별시 종로구 계동 14-1 121북촌
ValueCountFrequency (%)
서울특별시 185
21.9%
종로구 185
21.9%
창신동 20
 
2.4%
1층 10
 
1.2%
누하동 10
 
1.2%
2층 10
 
1.2%
누상동 9
 
1.1%
통인동 9
 
1.1%
필운동 9
 
1.1%
이화동 8
 
0.9%
Other values (260) 388
46.0%
2024-04-06T21:29:43.380224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
658
 
16.0%
1 195
 
4.8%
191
 
4.7%
189
 
4.6%
188
 
4.6%
186
 
4.5%
186
 
4.5%
185
 
4.5%
185
 
4.5%
185
 
4.5%
Other values (134) 1755
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2445
59.6%
Decimal Number 840
 
20.5%
Space Separator 658
 
16.0%
Dash Punctuation 139
 
3.4%
Other Punctuation 11
 
0.3%
Uppercase Letter 6
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
191
 
7.8%
189
 
7.7%
188
 
7.7%
186
 
7.6%
186
 
7.6%
185
 
7.6%
185
 
7.6%
185
 
7.6%
184
 
7.5%
98
 
4.0%
Other values (112) 668
27.3%
Decimal Number
ValueCountFrequency (%)
1 195
23.2%
2 121
14.4%
3 92
11.0%
6 74
 
8.8%
0 71
 
8.5%
5 63
 
7.5%
9 62
 
7.4%
4 61
 
7.3%
7 55
 
6.5%
8 46
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
16.7%
K 1
16.7%
R 1
16.7%
I 1
16.7%
P 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
. 2
 
18.2%
Space Separator
ValueCountFrequency (%)
658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2445
59.6%
Common 1652
40.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
191
 
7.8%
189
 
7.7%
188
 
7.7%
186
 
7.6%
186
 
7.6%
185
 
7.6%
185
 
7.6%
185
 
7.6%
184
 
7.5%
98
 
4.0%
Other values (112) 668
27.3%
Common
ValueCountFrequency (%)
658
39.8%
1 195
 
11.8%
- 139
 
8.4%
2 121
 
7.3%
3 92
 
5.6%
6 74
 
4.5%
0 71
 
4.3%
5 63
 
3.8%
9 62
 
3.8%
4 61
 
3.7%
Other values (6) 116
 
7.0%
Latin
ValueCountFrequency (%)
A 1
16.7%
K 1
16.7%
R 1
16.7%
I 1
16.7%
P 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2445
59.6%
ASCII 1658
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
658
39.7%
1 195
 
11.8%
- 139
 
8.4%
2 121
 
7.3%
3 92
 
5.5%
6 74
 
4.5%
0 71
 
4.3%
5 63
 
3.8%
9 62
 
3.7%
4 61
 
3.7%
Other values (12) 122
 
7.4%
Hangul
ValueCountFrequency (%)
191
 
7.8%
189
 
7.7%
188
 
7.7%
186
 
7.6%
186
 
7.6%
185
 
7.6%
185
 
7.6%
185
 
7.6%
184
 
7.5%
98
 
4.0%
Other values (112) 668
27.3%
Distinct179
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-06T21:29:43.979506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length30.091892
Min length22

Characters and Unicode

Total characters5567
Distinct characters168
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

Unique173 ?
Unique (%)93.5%

Sample

1st row서울특별시 종로구 율곡로13가길 20 (연건동)
2nd row서울특별시 종로구 낙산길 22-17, 자매빌딩 4층 401호 (동숭동)
3rd row서울특별시 종로구 창신길 119, 창신동 아트브릿지 문화복합주택 401호 (창신동)
4th row서울특별시 종로구 낙산성곽서길 107-17 (이화동)
5th row서울특별시 종로구 계동길 121, 121북촌 3~4층 (계동)
ValueCountFrequency (%)
서울특별시 185
 
17.2%
종로구 185
 
17.2%
창신동 20
 
1.9%
1층 14
 
1.3%
2층 13
 
1.2%
101호 12
 
1.1%
누하동 10
 
0.9%
누상동 9
 
0.8%
통인동 9
 
0.8%
필운동 9
 
0.8%
Other values (349) 610
56.7%
2024-04-06T21:29:44.989466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
891
 
16.0%
327
 
5.9%
1 228
 
4.1%
197
 
3.5%
195
 
3.5%
190
 
3.4%
188
 
3.4%
( 187
 
3.4%
) 187
 
3.4%
185
 
3.3%
Other values (158) 2792
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3148
56.5%
Decimal Number 919
 
16.5%
Space Separator 891
 
16.0%
Open Punctuation 187
 
3.4%
Close Punctuation 187
 
3.4%
Other Punctuation 134
 
2.4%
Dash Punctuation 93
 
1.7%
Uppercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
327
 
10.4%
197
 
6.3%
195
 
6.2%
190
 
6.0%
188
 
6.0%
185
 
5.9%
185
 
5.9%
185
 
5.9%
185
 
5.9%
154
 
4.9%
Other values (135) 1157
36.8%
Decimal Number
ValueCountFrequency (%)
1 228
24.8%
2 165
18.0%
3 132
14.4%
0 86
 
9.4%
4 82
 
8.9%
5 71
 
7.7%
7 47
 
5.1%
6 40
 
4.4%
8 35
 
3.8%
9 33
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
K 1
14.3%
R 1
14.3%
A 1
14.3%
I 1
14.3%
P 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 131
97.8%
. 3
 
2.2%
Space Separator
ValueCountFrequency (%)
891
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3148
56.5%
Common 2412
43.3%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
327
 
10.4%
197
 
6.3%
195
 
6.2%
190
 
6.0%
188
 
6.0%
185
 
5.9%
185
 
5.9%
185
 
5.9%
185
 
5.9%
154
 
4.9%
Other values (135) 1157
36.8%
Common
ValueCountFrequency (%)
891
36.9%
1 228
 
9.5%
( 187
 
7.8%
) 187
 
7.8%
2 165
 
6.8%
3 132
 
5.5%
, 131
 
5.4%
- 93
 
3.9%
0 86
 
3.6%
4 82
 
3.4%
Other values (7) 230
 
9.5%
Latin
ValueCountFrequency (%)
B 2
28.6%
K 1
14.3%
R 1
14.3%
A 1
14.3%
I 1
14.3%
P 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3148
56.5%
ASCII 2419
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
891
36.8%
1 228
 
9.4%
( 187
 
7.7%
) 187
 
7.7%
2 165
 
6.8%
3 132
 
5.5%
, 131
 
5.4%
- 93
 
3.8%
0 86
 
3.6%
4 82
 
3.4%
Other values (13) 237
 
9.8%
Hangul
ValueCountFrequency (%)
327
 
10.4%
197
 
6.3%
195
 
6.2%
190
 
6.0%
188
 
6.0%
185
 
5.9%
185
 
5.9%
185
 
5.9%
185
 
5.9%
154
 
4.9%
Other values (135) 1157
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)45.0%
Missing25
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean3067.2
Minimum3001
Maximum3191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:45.337568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001
5-th percentile3015
Q13036
median3055
Q33096
95-th percentile3136
Maximum3191
Range190
Interquartile range (IQR)60

Descriptive statistics

Standard deviation41.406984
Coefficient of variation (CV)0.01349993
Kurtosis0.064409914
Mean3067.2
Median Absolute Deviation (MAD)26
Skewness0.8090953
Sum490752
Variance1714.5384
MonotonicityNot monotonic
2024-04-06T21:29:45.648588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3038 7
 
3.8%
3027 7
 
3.8%
3036 6
 
3.2%
3041 6
 
3.2%
3040 5
 
2.7%
3098 5
 
2.7%
3039 5
 
2.7%
3044 4
 
2.2%
3136 4
 
2.2%
3119 4
 
2.2%
Other values (62) 107
57.8%
(Missing) 25
 
13.5%
ValueCountFrequency (%)
3001 1
 
0.5%
3004 1
 
0.5%
3007 1
 
0.5%
3008 1
 
0.5%
3009 1
 
0.5%
3014 2
1.1%
3015 2
1.1%
3020 4
2.2%
3021 1
 
0.5%
3022 3
1.6%
ValueCountFrequency (%)
3191 1
 
0.5%
3176 3
1.6%
3175 1
 
0.5%
3169 1
 
0.5%
3146 1
 
0.5%
3136 4
2.2%
3134 1
 
0.5%
3132 1
 
0.5%
3131 3
1.6%
3129 1
 
0.5%
Distinct182
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-06T21:29:46.188234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length11.951351
Min length2

Characters and Unicode

Total characters2211
Distinct characters294
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)96.8%

Sample

1st row퍼플레인 컴퍼니
2nd row이화 게스트룸
3rd row라로쥬
4th row이화스테이
5th row락이당
ValueCountFrequency (%)
house 25
 
6.4%
게스트하우스 13
 
3.3%
guesthouse 12
 
3.1%
서울 5
 
1.3%
하우스 5
 
1.3%
b&b 4
 
1.0%
guest 4
 
1.0%
아뜰리에 3
 
0.8%
3
 
0.8%
3
 
0.8%
Other values (283) 312
80.2%
2024-04-06T21:29:47.024754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
9.2%
145
 
6.6%
e 87
 
3.9%
83
 
3.8%
76
 
3.4%
s 67
 
3.0%
o 65
 
2.9%
( 63
 
2.8%
) 62
 
2.8%
u 58
 
2.6%
Other values (284) 1301
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 990
44.8%
Lowercase Letter 543
24.6%
Uppercase Letter 277
 
12.5%
Space Separator 204
 
9.2%
Open Punctuation 63
 
2.8%
Close Punctuation 62
 
2.8%
Decimal Number 52
 
2.4%
Other Punctuation 16
 
0.7%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
145
 
14.6%
83
 
8.4%
76
 
7.7%
49
 
4.9%
41
 
4.1%
37
 
3.7%
19
 
1.9%
16
 
1.6%
15
 
1.5%
15
 
1.5%
Other values (220) 494
49.9%
Uppercase Letter
ValueCountFrequency (%)
H 41
14.8%
S 25
 
9.0%
G 25
 
9.0%
B 21
 
7.6%
O 20
 
7.2%
U 18
 
6.5%
A 17
 
6.1%
E 14
 
5.1%
N 11
 
4.0%
L 10
 
3.6%
Other values (13) 75
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 87
16.0%
s 67
12.3%
o 65
12.0%
u 58
10.7%
a 40
7.4%
n 37
6.8%
t 37
6.8%
h 27
 
5.0%
i 24
 
4.4%
r 16
 
2.9%
Other values (12) 85
15.7%
Decimal Number
ValueCountFrequency (%)
1 10
19.2%
2 9
17.3%
7 8
15.4%
5 7
13.5%
0 5
9.6%
8 4
 
7.7%
4 3
 
5.8%
3 3
 
5.8%
6 2
 
3.8%
9 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 8
50.0%
' 5
31.2%
. 3
 
18.8%
Space Separator
ValueCountFrequency (%)
204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 990
44.8%
Latin 820
37.1%
Common 401
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
145
 
14.6%
83
 
8.4%
76
 
7.7%
49
 
4.9%
41
 
4.1%
37
 
3.7%
19
 
1.9%
16
 
1.6%
15
 
1.5%
15
 
1.5%
Other values (220) 494
49.9%
Latin
ValueCountFrequency (%)
e 87
 
10.6%
s 67
 
8.2%
o 65
 
7.9%
u 58
 
7.1%
H 41
 
5.0%
a 40
 
4.9%
n 37
 
4.5%
t 37
 
4.5%
h 27
 
3.3%
S 25
 
3.0%
Other values (35) 336
41.0%
Common
ValueCountFrequency (%)
204
50.9%
( 63
 
15.7%
) 62
 
15.5%
1 10
 
2.5%
2 9
 
2.2%
& 8
 
2.0%
7 8
 
2.0%
5 7
 
1.7%
0 5
 
1.2%
' 5
 
1.2%
Other values (9) 20
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
55.2%
Hangul 990
44.8%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
16.7%
e 87
 
7.1%
s 67
 
5.5%
o 65
 
5.3%
( 63
 
5.2%
) 62
 
5.1%
u 58
 
4.8%
H 41
 
3.4%
a 40
 
3.3%
n 37
 
3.0%
Other values (53) 496
40.7%
Hangul
ValueCountFrequency (%)
145
 
14.6%
83
 
8.4%
76
 
7.7%
49
 
4.9%
41
 
4.1%
37
 
3.7%
19
 
1.9%
16
 
1.6%
15
 
1.5%
15
 
1.5%
Other values (220) 494
49.9%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct153
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2013-11-25 00:00:00
Maximum2024-04-01 18:17:35
2024-04-06T21:29:47.346699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:29:47.628997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
97 
U
88 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 97
52.4%
U 88
47.6%

Length

2024-04-06T21:29:47.895909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:48.099252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 97
52.4%
u 88
47.6%
Distinct107
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:00
Maximum2023-12-04 00:03:00
2024-04-06T21:29:48.302206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:29:48.558383image/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)

Distinct166
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198577.02
Minimum196099.77
Maximum201883.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:48.838670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196099.77
5-th percentile196479.38
Q1197167.75
median198252.1
Q3199978.74
95-th percentile201159.85
Maximum201883.41
Range5783.6356
Interquartile range (IQR)2810.9868

Descriptive statistics

Standard deviation1651.4715
Coefficient of variation (CV)0.0083165286
Kurtosis-1.3250182
Mean198577.02
Median Absolute Deviation (MAD)1266.4565
Skewness0.35949055
Sum36736749
Variance2727358
MonotonicityNot monotonic
2024-04-06T21:29:49.157394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197007.9023 4
 
2.2%
199828.5302 3
 
1.6%
196871.2031 3
 
1.6%
197259.77541079 2
 
1.1%
197231.061 2
 
1.1%
197279.4797 2
 
1.1%
197053.3926 2
 
1.1%
200870.4665 2
 
1.1%
201710.2573 2
 
1.1%
197134.6035 2
 
1.1%
Other values (156) 161
87.0%
ValueCountFrequency (%)
196099.7702 1
0.5%
196171.3263 1
0.5%
196173.3938 1
0.5%
196179.3666 1
0.5%
196213.727 1
0.5%
196238.2922 1
0.5%
196331.6447 1
0.5%
196371.26 1
0.5%
196435.4586 1
0.5%
196454.2755 1
0.5%
ValueCountFrequency (%)
201883.4058 1
0.5%
201798.8349 1
0.5%
201753.8926 1
0.5%
201710.2573 2
1.1%
201607.1938 1
0.5%
201359.5335 1
0.5%
201358.4356 1
0.5%
201179.1888 1
0.5%
201166.6783 1
0.5%
201132.5396 2
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct166
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453206.46
Minimum451809.26
Maximum456736.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:49.467048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451809.26
5-th percentile452211.8
Q1452693.74
median452981.34
Q3453435.55
95-th percentile455312.74
Maximum456736.65
Range4927.3885
Interquartile range (IQR)741.8107

Descriptive statistics

Standard deviation899.77987
Coefficient of variation (CV)0.0019853642
Kurtosis3.6324844
Mean453206.46
Median Absolute Deviation (MAD)343.7872
Skewness1.7992848
Sum83843194
Variance809603.81
MonotonicityNot monotonic
2024-04-06T21:29:49.749726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452823.9952 4
 
2.2%
453468.5538 3
 
1.6%
453053.6075 3
 
1.6%
453564.162968827 2
 
1.1%
453781.1641 2
 
1.1%
453044.9732 2
 
1.1%
453081.7235 2
 
1.1%
451975.7591 2
 
1.1%
452567.2219 2
 
1.1%
452891.0206 2
 
1.1%
Other values (156) 161
87.0%
ValueCountFrequency (%)
451809.2646 1
0.5%
451975.7591 2
1.1%
451975.9833 1
0.5%
451979.506583808 1
0.5%
452097.7713 1
0.5%
452132.6483 1
0.5%
452173.8695 1
0.5%
452190.2916 1
0.5%
452211.803556528 1
0.5%
452211.8036 1
0.5%
ValueCountFrequency (%)
456736.6531 1
0.5%
456522.6362 1
0.5%
456274.6666 1
0.5%
456099.3949 1
0.5%
456078.939754064 1
0.5%
455871.962554119 1
0.5%
455817.111 1
0.5%
455775.002 1
0.5%
455410.8727 1
0.5%
455354.8353 1
0.5%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
외국인관광 도시민박업
159 
<NA>
26 

Length

Max length11
Median length11
Mean length10.016216
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 159
85.9%
<NA> 26
 
14.1%

Length

2024-04-06T21:29:50.017184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:50.238393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 159
46.2%
도시민박업 159
46.2%
na 26
 
7.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Categorical

Distinct9
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반주거지역
93 
<NA>
69 
일반상업지역
 
9
주거지역
 
5
상업지역
 
3
Other values (4)
 
6

Length

Max length6
Median length6
Mean length5.1459459
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반주거지역 93
50.3%
<NA> 69
37.3%
일반상업지역 9
 
4.9%
주거지역 5
 
2.7%
상업지역 3
 
1.6%
자연녹지지역 2
 
1.1%
준주거지역 2
 
1.1%
녹지지역 1
 
0.5%
전용주거지역 1
 
0.5%

Length

2024-04-06T21:29:50.479489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:50.725160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반주거지역 93
50.3%
na 69
37.3%
일반상업지역 9
 
4.9%
주거지역 5
 
2.7%
상업지역 3
 
1.6%
자연녹지지역 2
 
1.1%
준주거지역 2
 
1.1%
녹지지역 1
 
0.5%
전용주거지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)6.5%
Missing62
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean2.195122
Minimum0
Maximum7
Zeros27
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:50.944758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7725527
Coefficient of variation (CV)0.80749625
Kurtosis-0.53841042
Mean2.195122
Median Absolute Deviation (MAD)1
Skewness0.4977628
Sum270
Variance3.1419432
MonotonicityNot monotonic
2024-04-06T21:29:51.142679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 27
14.6%
3 24
 
13.0%
1 23
 
12.4%
2 21
 
11.4%
4 14
 
7.6%
5 8
 
4.3%
6 5
 
2.7%
7 1
 
0.5%
(Missing) 62
33.5%
ValueCountFrequency (%)
0 27
14.6%
1 23
12.4%
2 21
11.4%
3 24
13.0%
4 14
7.6%
5 8
 
4.3%
6 5
 
2.7%
7 1
 
0.5%
ValueCountFrequency (%)
7 1
 
0.5%
6 5
 
2.7%
5 8
 
4.3%
4 14
7.6%
3 24
13.0%
2 21
11.4%
1 23
12.4%
0 27
14.6%

주변환경명
Categorical

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
105 
주택가주변
45 
기타
18 
학교정화(상대)
14 
유흥업소밀집지역
 
3

Length

Max length8
Median length4
Mean length4.4162162
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> 105
56.8%
주택가주변 45
24.3%
기타 18
 
9.7%
학교정화(상대) 14
 
7.6%
유흥업소밀집지역 3
 
1.6%

Length

2024-04-06T21:29:51.396099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:51.625973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
56.8%
주택가주변 45
24.3%
기타 18
 
9.7%
학교정화(상대 14
 
7.6%
유흥업소밀집지역 3
 
1.6%

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

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
단독주택
94 
<NA>
34 
다가구용 주택(공동주택적용)
25 
다세대주택
22 
아파트
 
4
Other values (3)
 
6

Length

Max length15
Median length4
Mean length5.6324324
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 94
50.8%
<NA> 34
 
18.4%
다가구용 주택(공동주택적용) 25
 
13.5%
다세대주택 22
 
11.9%
아파트 4
 
2.2%
연립주택 4
 
2.2%
콘도미니엄 1
 
0.5%
다중주택(공동주택적용) 1
 
0.5%

Length

2024-04-06T21:29:51.918587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:52.229247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 94
44.8%
na 34
 
16.2%
다가구용 25
 
11.9%
주택(공동주택적용 25
 
11.9%
다세대주택 22
 
10.5%
아파트 4
 
1.9%
연립주택 4
 
1.9%
콘도미니엄 1
 
0.5%
다중주택(공동주택적용 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)7.6%
Missing53
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.1287879
Minimum0
Maximum23
Zeros27
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:52.473325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6940854
Coefficient of variation (CV)1.265549
Kurtosis31.869453
Mean2.1287879
Median Absolute Deviation (MAD)1
Skewness4.7723093
Sum281
Variance7.2580962
MonotonicityNot monotonic
2024-04-06T21:29:52.764070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 33
17.8%
2 31
16.8%
0 27
14.6%
3 21
 
11.4%
4 11
 
5.9%
5 5
 
2.7%
23 1
 
0.5%
16 1
 
0.5%
6 1
 
0.5%
9 1
 
0.5%
(Missing) 53
28.6%
ValueCountFrequency (%)
0 27
14.6%
1 33
17.8%
2 31
16.8%
3 21
11.4%
4 11
 
5.9%
5 5
 
2.7%
6 1
 
0.5%
9 1
 
0.5%
16 1
 
0.5%
23 1
 
0.5%
ValueCountFrequency (%)
23 1
 
0.5%
16 1
 
0.5%
9 1
 
0.5%
6 1
 
0.5%
5 5
 
2.7%
4 11
 
5.9%
3 21
11.4%
2 31
16.8%
1 33
17.8%
0 27
14.6%

지하층수
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
104 
0
40 
1
38 
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.6864865
Min length1

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
56.2%
0 40
 
21.6%
1 38
 
20.5%
2 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%

Length

2024-04-06T21:29:53.018475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:53.275536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
56.2%
0 40
 
21.6%
1 38
 
20.5%
2 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)10.5%
Missing99
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean1.9302326
Minimum0
Maximum11
Zeros19
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:53.482353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9928738
Coefficient of variation (CV)1.0324527
Kurtosis5.918515
Mean1.9302326
Median Absolute Deviation (MAD)1
Skewness2.0615764
Sum166
Variance3.9715458
MonotonicityNot monotonic
2024-04-06T21:29:53.693391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 24
 
13.0%
2 19
 
10.3%
0 19
 
10.3%
3 14
 
7.6%
5 4
 
2.2%
7 2
 
1.1%
4 2
 
1.1%
9 1
 
0.5%
11 1
 
0.5%
(Missing) 99
53.5%
ValueCountFrequency (%)
0 19
10.3%
1 24
13.0%
2 19
10.3%
3 14
7.6%
4 2
 
1.1%
5 4
 
2.2%
7 2
 
1.1%
9 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
11 1
 
0.5%
9 1
 
0.5%
7 2
 
1.1%
5 4
 
2.2%
4 2
 
1.1%
3 14
7.6%
2 19
10.3%
1 24
13.0%
0 19
10.3%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)27.9%
Missing142
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean197.86047
Minimum0
Maximum7071
Zeros31
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:53.880094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q346
95-th percentile217.4
Maximum7071
Range7071
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1075.1773
Coefficient of variation (CV)5.4340177
Kurtosis42.644142
Mean197.86047
Median Absolute Deviation (MAD)0
Skewness6.5181116
Sum8508
Variance1156006.2
MonotonicityNot monotonic
2024-04-06T21:29:54.087978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 31
 
16.8%
46 2
 
1.1%
83 1
 
0.5%
7071 1
 
0.5%
228 1
 
0.5%
180 1
 
0.5%
194 1
 
0.5%
220 1
 
0.5%
50 1
 
0.5%
159 1
 
0.5%
Other values (2) 2
 
1.1%
(Missing) 142
76.8%
ValueCountFrequency (%)
0 31
16.8%
46 2
 
1.1%
50 1
 
0.5%
83 1
 
0.5%
98 1
 
0.5%
133 1
 
0.5%
159 1
 
0.5%
180 1
 
0.5%
194 1
 
0.5%
220 1
 
0.5%
ValueCountFrequency (%)
7071 1
0.5%
228 1
0.5%
220 1
0.5%
194 1
0.5%
180 1
0.5%
159 1
0.5%
133 1
0.5%
98 1
0.5%
83 1
0.5%
50 1
0.5%

영문상호명
Text

MISSING 

Distinct108
Distinct (%)98.2%
Missing75
Missing (%)40.5%
Memory size1.6 KiB
2024-04-06T21:29:54.667365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length12.081818
Min length3

Characters and Unicode

Total characters1329
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)96.4%

Sample

1st rowYIAN Hounse
2nd rowSTUDIO6st
3rd rowEAST ATELIER
4th rowChebu House
5th rowChangspace
ValueCountFrequency (%)
house 24
 
11.0%
guesthouse 7
 
3.2%
stay 6
 
2.8%
seoul 5
 
2.3%
atelier 4
 
1.8%
the 4
 
1.8%
home 3
 
1.4%
seochon 3
 
1.4%
hanok 3
 
1.4%
guest 3
 
1.4%
Other values (147) 156
71.6%
2024-04-06T21:29:55.607982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
8.1%
e 79
 
5.9%
o 78
 
5.9%
S 67
 
5.0%
a 59
 
4.4%
H 59
 
4.4%
E 55
 
4.1%
s 48
 
3.6%
U 46
 
3.5%
u 45
 
3.4%
Other values (53) 685
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 593
44.6%
Uppercase Letter 574
43.2%
Space Separator 108
 
8.1%
Decimal Number 35
 
2.6%
Other Punctuation 12
 
0.9%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 67
11.7%
H 59
 
10.3%
E 55
 
9.6%
U 46
 
8.0%
O 43
 
7.5%
A 39
 
6.8%
N 36
 
6.3%
G 28
 
4.9%
I 24
 
4.2%
T 23
 
4.0%
Other values (15) 154
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 79
13.3%
o 78
13.2%
a 59
9.9%
s 48
 
8.1%
u 45
 
7.6%
n 41
 
6.9%
l 29
 
4.9%
h 29
 
4.9%
t 27
 
4.6%
i 25
 
4.2%
Other values (13) 133
22.4%
Decimal Number
ValueCountFrequency (%)
1 8
22.9%
5 7
20.0%
2 6
17.1%
7 4
11.4%
0 3
 
8.6%
3 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
' 7
58.3%
& 3
25.0%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1167
87.8%
Common 162
 
12.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 79
 
6.8%
o 78
 
6.7%
S 67
 
5.7%
a 59
 
5.1%
H 59
 
5.1%
E 55
 
4.7%
s 48
 
4.1%
U 46
 
3.9%
u 45
 
3.9%
O 43
 
3.7%
Other values (38) 588
50.4%
Common
ValueCountFrequency (%)
108
66.7%
1 8
 
4.9%
' 7
 
4.3%
- 7
 
4.3%
5 7
 
4.3%
2 6
 
3.7%
7 4
 
2.5%
& 3
 
1.9%
0 3
 
1.9%
3 2
 
1.2%
Other values (5) 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
 
8.1%
e 79
 
5.9%
o 78
 
5.9%
S 67
 
5.0%
a 59
 
4.4%
H 59
 
4.4%
E 55
 
4.1%
s 48
 
3.6%
U 46
 
3.5%
u 45
 
3.4%
Other values (53) 685
51.5%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Urban Tourist Home for Foreigner Only
106 
<NA>
77 
Traditional Korean housing experiencing business
 
2

Length

Max length48
Median length37
Mean length23.383784
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 (%)
Urban Tourist Home for Foreigner Only 106
57.3%
<NA> 77
41.6%
Traditional Korean housing experiencing business 2
 
1.1%

Length

2024-04-06T21:29:55.901146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:56.107727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
urban 106
14.7%
tourist 106
14.7%
home 106
14.7%
for 106
14.7%
foreigner 106
14.7%
only 106
14.7%
na 77
10.7%
traditional 2
 
0.3%
korean 2
 
0.3%
housing 2
 
0.3%
Other values (2) 4
 
0.6%

선박총톤수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:56.382808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:56.592005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

선박척수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:57.261464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:57.545400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

무대면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:57.856775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:58.077919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

좌석수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:58.317038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:58.522090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing185
Missing (%)100.0%
Memory size1.8 KiB
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:58.796729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:59.007258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

시설면적
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)92.3%
Missing30
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean94.485871
Minimum0
Maximum229.45
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:29:59.233715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.172
Q152.935
median74.45
Q3129.365
95-th percentile217.404
Maximum229.45
Range229.45
Interquartile range (IQR)76.43

Descriptive statistics

Standard deviation55.189779
Coefficient of variation (CV)0.58410615
Kurtosis-0.17979979
Mean94.485871
Median Absolute Deviation (MAD)29.45
Skewness0.84480742
Sum14645.31
Variance3045.9117
MonotonicityNot monotonic
2024-04-06T21:29:59.492182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.28 3
 
1.6%
35.1 3
 
1.6%
97.55 2
 
1.1%
84.85 2
 
1.1%
123.97 2
 
1.1%
49.66 2
 
1.1%
62.15 2
 
1.1%
47.73 2
 
1.1%
54.35 2
 
1.1%
42.98 2
 
1.1%
Other values (133) 133
71.9%
(Missing) 30
 
16.2%
ValueCountFrequency (%)
0.0 1
0.5%
18.18 1
0.5%
20.0 1
0.5%
25.79 1
0.5%
26.45 1
0.5%
27.1 1
0.5%
28.17 1
0.5%
28.8 1
0.5%
30.76 1
0.5%
32.37 1
0.5%
ValueCountFrequency (%)
229.45 1
0.5%
229.09 1
0.5%
227.8 1
0.5%
227.26 1
0.5%
223.86 1
0.5%
221.17 1
0.5%
219.94 1
0.5%
217.88 1
0.5%
217.2 1
0.5%
210.0 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

놀이시설수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
150 
0
35 

Length

Max length4
Median length4
Mean length3.4324324
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> 150
81.1%
0 35
 
18.9%

Length

2024-04-06T21:29:59.770676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:29:59.991224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
81.1%
0 35
 
18.9%

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 

Distinct13
Distinct (%)22.8%
Missing128
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean24140474
Minimum0
Maximum3 × 108
Zeros33
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:30:00.178051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340000000
95-th percentile1 × 108
Maximum3 × 108
Range3 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation51833962
Coefficient of variation (CV)2.1471808
Kurtosis15.679841
Mean24140474
Median Absolute Deviation (MAD)0
Skewness3.6164494
Sum1.376007 × 109
Variance2.6867596 × 1015
MonotonicityNot monotonic
2024-04-06T21:30:00.372999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 33
 
17.8%
50000000 8
 
4.3%
10000000 4
 
2.2%
15000000 2
 
1.1%
100000000 2
 
1.1%
60000000 1
 
0.5%
7000 1
 
0.5%
200000000 1
 
0.5%
300000000 1
 
0.5%
85000000 1
 
0.5%
Other values (3) 3
 
1.6%
(Missing) 128
69.2%
ValueCountFrequency (%)
0 33
17.8%
7000 1
 
0.5%
1000000 1
 
0.5%
10000000 4
 
2.2%
15000000 2
 
1.1%
20000000 1
 
0.5%
40000000 1
 
0.5%
50000000 8
 
4.3%
60000000 1
 
0.5%
85000000 1
 
0.5%
ValueCountFrequency (%)
300000000 1
 
0.5%
200000000 1
 
0.5%
100000000 2
 
1.1%
85000000 1
 
0.5%
60000000 1
 
0.5%
50000000 8
4.3%
40000000 1
 
0.5%
20000000 1
 
0.5%
15000000 2
 
1.1%
10000000 4
2.2%

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 

Distinct98
Distinct (%)63.2%
Missing30
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean94.516129
Minimum0
Maximum229
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T21:30:00.606943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.4
Q153
median74
Q3129.5
95-th percentile217.3
Maximum229
Range229
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation55.200621
Coefficient of variation (CV)0.58403387
Kurtosis-0.18422809
Mean94.516129
Median Absolute Deviation (MAD)29
Skewness0.84297042
Sum14650
Variance3047.1085
MonotonicityNot monotonic
2024-04-06T21:30:00.868051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 7
 
3.8%
148 5
 
2.7%
71 4
 
2.2%
74 4
 
2.2%
46 4
 
2.2%
98 4
 
2.2%
85 4
 
2.2%
62 3
 
1.6%
63 3
 
1.6%
53 3
 
1.6%
Other values (88) 114
61.6%
(Missing) 30
 
16.2%
ValueCountFrequency (%)
0 1
0.5%
18 1
0.5%
20 1
0.5%
26 2
1.1%
27 1
0.5%
28 1
0.5%
29 1
0.5%
31 1
0.5%
32 1
0.5%
33 1
0.5%
ValueCountFrequency (%)
229 2
1.1%
228 1
0.5%
227 1
0.5%
224 1
0.5%
221 1
0.5%
220 1
0.5%
218 1
0.5%
217 1
0.5%
210 1
0.5%
194 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFI22622120230000182023-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 연건동 296-14서울특별시 종로구 율곡로13가길 20 (연건동)3081퍼플레인 컴퍼니2023-10-23 21:06:52U2022-10-30 22:05:00.0<NA>199921.615559452693.010973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFI22622120230000172023-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 129-199 자매빌딩 401호서울특별시 종로구 낙산길 22-17, 자매빌딩 4층 401호 (동숭동)3088이화 게스트룸2023-10-23 21:05:58U2022-10-30 22:05:00.0<NA>200456.132704453106.435349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFI22622120230000142023-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 630-1 창신동 아트브릿지 문화복합주택 401호서울특별시 종로구 창신길 119, 창신동 아트브릿지 문화복합주택 401호 (창신동)3089라로쥬2023-10-23 21:00:56U2022-10-30 22:05:00.0<NA>200815.242722452710.839808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFI22622120240000092024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 이화동 9-324서울특별시 종로구 낙산성곽서길 107-17 (이화동)3098이화스테이2024-03-21 09:17:54I2023-12-02 22:03:00.0<NA>200642.290343452751.549223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFI22622120230000152023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 계동 14-1 121북촌서울특별시 종로구 계동길 121, 121북촌 3~4층 (계동)3056락이당2023-10-23 21:02:50U2022-10-30 22:05:00.0<NA>198758.522829453380.819259<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFI22622120230000162023-09-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 누상동 147 코디골드빌 101호서울특별시 종로구 필운대로5나길 25, 101호 (누상동, 코디골드빌)3038비바 라 비다_서촌소요2023-09-12 14:50:10I2022-12-08 23:04:00.0<NA>197021.128551453070.675624<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFI22622120240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 부암동 143-1서울특별시 종로구 자하문로 258, 3층 (부암동)3020랏토하우스2024-01-16 18:14:46I2023-11-30 23:08:00.0<NA>196712.96377454997.379607<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFI226221201900000120190116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 91-58번지서울특별시 종로구 자하문로10길 10-20 (통의동)3044이안하우스(YIAN House)2019-01-16I2019-01-18 02:20:00.0<NA>197450.1094452976.4186외국인관광 도시민박업<NA>일반주거지역1주택가주변<NA><NA>단독주택1<NA>1<NA>YIAN HounseUrban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>42.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43
83000000CDFI226221201900000220190225<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 98-41번지 스튜디오하우스 4층서울특별시 종로구 율곡로6길 22-9, 스튜디오하우스 4층 (운니동)3131STUDIO6st2019-02-25I2019-02-27 02:21:00.0<NA>198946.7468452677.046외국인관광 도시민박업<NA>일반상업지역4<NA><NA><NA>다가구용 주택(공동주택적용)4<NA>2<NA>STUDIO6stUrban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>60.25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60
93000000CDFI22622120230000132023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 평창동 153-6 화이트빌 301호서울특별시 종로구 평창문화로 85, 301호 (평창동, 화이트빌)3009메죵 드 폴2023-10-23 20:59:04U2022-10-30 22:05:00.0<NA>197314.517536456078.939754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
1753000000CDFI226221201300000220130321<NA>3폐업3폐업20170113<NA><NA><NA>02-333-5784<NA>110-809서울특별시 종로구 동숭동 130-59번지서울특별시 종로구 동숭2길 20 (동숭동)<NA>씨유비앤비 (C.U.BnB)2017-02-08I2018-08-31 23:59:00.0<NA>200388.8457453197.8784외국인관광 도시민박업<NA>일반주거지역2주택가주변<NA><NA>단독주택20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>125.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>126
1763000000CDFI226221201300000320130328<NA>3폐업3폐업20140507<NA><NA><NA>02-762-2926<NA>110-827서울특별시 종로구 숭인동 766번지 종로청계힐스테이트 106동 902호서울특별시 종로구 숭인동길 21, 106동 902호 (숭인동, 종로청계힐스테이트)<NA>종로 동대문 홈스테이(Jongno Dongdaemoon Homestay)2014-05-07I2018-08-31 23:59:00.0<NA>201798.8349452637.557외국인관광 도시민박업<NA>일반주거지역<NA>학교정화(상대)<NA><NA>아파트9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>114.72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>115
1773000000CDFI226221201700001020170414<NA>3폐업3폐업20220211<NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 32서울특별시 종로구 돈화문로11가길 77-8 (운니동)3131비원스테이2022-02-11U2022-02-13 02:40:00.0<NA>199024.1526452635.4081외국인관광 도시민박업<NA>녹지지역3기타<NA><NA>단독주택21<NA><NA>BEEWON STAYUrban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>86.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>86
1783000000CDFI226221201700002820171228<NA>3폐업3폐업20200120<NA><NA><NA><NA><NA><NA>서울특별시 종로구 청운동 60번지 공동주택 (채옥희) 301호서울특별시 종로구 자하문로 115-18, 301호 (청운동, 공동주택 (채옥희))3031HOUSE LOU2020-01-20U2020-01-22 02:40:00.0<NA>197231.061453781.1641외국인관광 도시민박업<NA>일반주거지역4기타<NA><NA>다가구용 주택(공동주택적용)401<NA>HOUSE LOUUrban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>148.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>148
1793000000CDFI226221201400000520140323<NA>3폐업3폐업20150121<NA><NA><NA><NA><NA>110-818서울특별시 종로구 부암동 306-23번지서울특별시 종로구 창의문로9길 18 (부암동)<NA>부암 뜨락(Buam Garden)2015-01-27I2018-08-31 23:59:00.0<NA>196579.7777454485.4135외국인관광 도시민박업<NA>전용주거지역2주택가주변<NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>166.84<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>167
1803000000CDFI226221201400000620140324<NA>3폐업3폐업20170630<NA><NA><NA><NA><NA>110-035서울특별시 종로구 옥인동 157-2번지 2층서울특별시 종로구 옥인길 32-2, 2층 (옥인동)<NA>서촌비앤비(Seochon B&B SRAN)2017-07-13I2018-08-31 23:59:00.0<NA>197018.7757453205.6246외국인관광 도시민박업<NA>일반주거지역3주택가주변<NA><NA>다가구용 주택(공동주택적용)3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>125.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>125
1813000000CDFI226221201800000520180420<NA>3폐업3폐업20230630<NA><NA><NA><NA><NA><NA>서울특별시 종로구 계동 14-1 3,4층서울특별시 종로구 계동길 121, 3,4층 (계동)3056121북촌2023-06-30U2023-07-02 02:40:00.0<NA>198758.5228453380.8193외국인관광 도시민박업<NA>일반주거지역5기타<NA><NA>단독주택413<NA>121BUCKCHONUrban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>110.94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>111
1823000000CDFI226221201400000820140526<NA>3폐업3폐업20191213<NA><NA><NA>02-735-8200<NA><NA>서울특별시 종로구 팔판동 21-1번지 2층, 3층서울특별시 종로구 팔판길 32, 2층, 3층 (팔판동)3054에이 하우스(A☆House)2019-12-16U2019-12-18 02:40:00.0<NA>198280.3969453435.5499외국인관광 도시민박업<NA>일반주거지역4주택가주변<NA><NA>다가구용 주택(공동주택적용)31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165.3<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>165
1833000000CDFI226221201400001020140529<NA>3폐업3폐업20150921<NA><NA><NA><NA><NA>110-500서울특별시 종로구 이화동 9-477번지서울특별시 종로구 이화장1나길 29-1 (이화동)<NA>로즈 앤 캔디(Rose and Candy)2015-09-21I2018-08-31 23:59:00.0<NA>200583.1883452824.5071외국인관광 도시민박업<NA>일반주거지역2주택가주변<NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>39.67<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40
1843000000CDFI226221201800001220181220<NA>3폐업3폐업20210719<NA><NA><NA><NA><NA><NA>서울특별시 종로구 누하동 93서울특별시 종로구 필운대로5나길 20 (누하동)3037누하70하우스(NUHA70)2021-07-19U2021-07-21 02:40:00.0<NA>197053.3926453081.7235외국인관광 도시민박업<NA>일반주거지역3<NA><NA><NA>단독주택21298NUHA70Urban Tourist Home for Foreigner Only<NA><NA><NA><NA><NA><NA><NA>97.55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>98