Overview

Dataset statistics

Number of variables60
Number of observations468
Missing cells12030
Missing cells (%)42.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory238.2 KiB
Average record size in memory521.3 B

Variable types

Categorical21
Text8
DateTime4
Unsupported18
Numeric9

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17454/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.8%)Imbalance
영업상태코드 is highly imbalanced (51.1%)Imbalance
영업상태명 is highly imbalanced (51.1%)Imbalance
상세영업상태코드 is highly imbalanced (51.1%)Imbalance
상세영업상태명 is highly imbalanced (51.1%)Imbalance
휴업시작일자 is highly imbalanced (97.8%)Imbalance
휴업종료일자 is highly imbalanced (97.8%)Imbalance
지역구분명 is highly imbalanced (56.8%)Imbalance
주변환경명 is highly imbalanced (80.3%)Imbalance
폐업일자 has 324 (69.2%) missing valuesMissing
재개업일자 has 468 (100.0%) missing valuesMissing
전화번호 has 441 (94.2%) missing valuesMissing
소재지면적 has 468 (100.0%) missing valuesMissing
소재지우편번호 has 452 (96.6%) missing valuesMissing
도로명우편번호 has 20 (4.3%) missing valuesMissing
업태구분명 has 468 (100.0%) missing valuesMissing
문화사업자구분명 has 468 (100.0%) missing valuesMissing
총층수 has 323 (69.0%) missing valuesMissing
제작취급품목내용 has 468 (100.0%) missing valuesMissing
보험기관명 has 468 (100.0%) missing valuesMissing
지상층수 has 326 (69.7%) missing valuesMissing
객실수 has 249 (53.2%) missing valuesMissing
영문상호명 has 459 (98.1%) missing valuesMissing
영문상호주소 has 461 (98.5%) missing valuesMissing
선박제원 has 468 (100.0%) missing valuesMissing
기념품종류 has 468 (100.0%) missing valuesMissing
시설면적 has 134 (28.6%) missing valuesMissing
놀이기구수내역 has 468 (100.0%) missing valuesMissing
방송시설유무 has 468 (100.0%) missing valuesMissing
발전시설유무 has 468 (100.0%) missing valuesMissing
의무실유무 has 468 (100.0%) missing valuesMissing
안내소유무 has 468 (100.0%) missing valuesMissing
기획여행보험시작일자 has 468 (100.0%) missing valuesMissing
기획여행보험종료일자 has 468 (100.0%) missing valuesMissing
자본금 has 277 (59.2%) missing valuesMissing
보험시작일자 has 468 (100.0%) missing valuesMissing
보험종료일자 has 468 (100.0%) missing valuesMissing
부대시설내역 has 468 (100.0%) missing valuesMissing
시설규모 has 134 (28.6%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 84 (17.9%) zerosZeros
지상층수 has 85 (18.2%) zerosZeros
객실수 has 74 (15.8%) zerosZeros
자본금 has 17 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:31:19.250791
Analysis finished2024-05-11 06:31:20.573008
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3020000
468 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 468
100.0%

Length

2024-05-11T15:31:20.683501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:20.844042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 468
100.0%

관리번호
Text

UNIQUE 

Distinct468
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:31:21.155401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters9360
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

Unique468 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000056
2nd rowCDFI2262212023000059
3rd rowCDFI2262212023000058
4th rowCDFI2262212023000057
5th rowCDFI2262212023000060
ValueCountFrequency (%)
cdfi2262212023000056 1
 
0.2%
cdfi2262212016000028 1
 
0.2%
cdfi2262212016000019 1
 
0.2%
cdfi2262212016000016 1
 
0.2%
cdfi2262212016000015 1
 
0.2%
cdfi2262212017000047 1
 
0.2%
cdfi2262212017000038 1
 
0.2%
cdfi2262212018000006 1
 
0.2%
cdfi2262212014000005 1
 
0.2%
cdfi2262212014000004 1
 
0.2%
Other values (458) 458
97.9%
2024-05-11T15:31:21.788334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2738
29.3%
0 2528
27.0%
1 916
 
9.8%
6 564
 
6.0%
C 468
 
5.0%
D 468
 
5.0%
F 468
 
5.0%
I 468
 
5.0%
3 197
 
2.1%
9 128
 
1.4%
Other values (4) 417
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7488
80.0%
Uppercase Letter 1872
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2738
36.6%
0 2528
33.8%
1 916
 
12.2%
6 564
 
7.5%
3 197
 
2.6%
9 128
 
1.7%
4 122
 
1.6%
7 110
 
1.5%
5 99
 
1.3%
8 86
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 468
25.0%
D 468
25.0%
F 468
25.0%
I 468
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7488
80.0%
Latin 1872
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2738
36.6%
0 2528
33.8%
1 916
 
12.2%
6 564
 
7.5%
3 197
 
2.6%
9 128
 
1.7%
4 122
 
1.6%
7 110
 
1.5%
5 99
 
1.3%
8 86
 
1.1%
Latin
ValueCountFrequency (%)
C 468
25.0%
D 468
25.0%
F 468
25.0%
I 468
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2738
29.3%
0 2528
27.0%
1 916
 
9.8%
6 564
 
6.0%
C 468
 
5.0%
D 468
 
5.0%
F 468
 
5.0%
I 468
 
5.0%
3 197
 
2.1%
9 128
 
1.4%
Other values (4) 417
 
4.5%
Distinct358
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2012-02-23 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T15:31:22.084331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:22.336766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
464 
20210628
 
2
20191210
 
1
20160219
 
1

Length

Max length8
Median length4
Mean length4.034188
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 464
99.1%
20210628 2
 
0.4%
20191210 1
 
0.2%
20160219 1
 
0.2%

Length

2024-05-11T15:31:22.631124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:22.866602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 464
99.1%
20210628 2
 
0.4%
20191210 1
 
0.2%
20160219 1
 
0.2%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
1
319 
3
144 
4
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 319
68.2%
3 144
30.8%
4 4
 
0.9%
2 1
 
0.2%

Length

2024-05-11T15:31:23.075576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:23.273795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 319
68.2%
3 144
30.8%
4 4
 
0.9%
2 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
영업/정상
319 
폐업
144 
취소/말소/만료/정지/중지
 
4
휴업
 
1

Length

Max length14
Median length5
Mean length4.1474359
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 319
68.2%
폐업 144
30.8%
취소/말소/만료/정지/중지 4
 
0.9%
휴업 1
 
0.2%

Length

2024-05-11T15:31:23.523064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:23.712308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 319
68.2%
폐업 144
30.8%
취소/말소/만료/정지/중지 4
 
0.9%
휴업 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
13
319 
3
144 
31
 
4
2
 
1

Length

Max length2
Median length2
Mean length1.6901709
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 319
68.2%
3 144
30.8%
31 4
 
0.9%
2 1
 
0.2%

Length

2024-05-11T15:31:23.933733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:24.140435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 319
68.2%
3 144
30.8%
31 4
 
0.9%
2 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
영업중
319 
폐업
144 
등록취소
 
4
휴업
 
1

Length

Max length4
Median length3
Mean length2.6987179
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 319
68.2%
폐업 144
30.8%
등록취소 4
 
0.9%
휴업 1
 
0.2%

Length

2024-05-11T15:31:24.372986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:24.595721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 319
68.2%
폐업 144
30.8%
등록취소 4
 
0.9%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct134
Distinct (%)93.1%
Missing324
Missing (%)69.2%
Memory size3.8 KiB
Minimum2014-06-16 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T15:31:24.826058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:25.122129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
467 
20160722
 
1

Length

Max length8
Median length4
Mean length4.008547
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 467
99.8%
20160722 1
 
0.2%

Length

2024-05-11T15:31:25.390405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:25.581340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 467
99.8%
20160722 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
467 
20170721
 
1

Length

Max length8
Median length4
Mean length4.008547
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 467
99.8%
20170721 1
 
0.2%

Length

2024-05-11T15:31:25.788706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:25.984892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 467
99.8%
20170721 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

전화번호
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing441
Missing (%)94.2%
Memory size3.8 KiB
2024-05-11T15:31:26.291210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.777778
Min length8

Characters and Unicode

Total characters291
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

Unique25 ?
Unique (%)92.6%

Sample

1st row02-797-2331
2nd row07074311565
3rd row070-4400-2125
4th row02-796-6990
5th row070-4645-4339
ValueCountFrequency (%)
02-774-0351 2
 
7.4%
02-797-2331 1
 
3.7%
070-8773-4104 1
 
3.7%
6084-9200 1
 
3.7%
02-6356-0016 1
 
3.7%
02-702-1550 1
 
3.7%
714-9462 1
 
3.7%
27907739 1
 
3.7%
070-8770-1223 1
 
3.7%
02-3477-4322 1
 
3.7%
Other values (16) 16
59.3%
2024-05-11T15:31:26.915348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
17.5%
- 44
15.1%
7 42
14.4%
2 38
13.1%
3 22
7.6%
9 21
7.2%
4 20
 
6.9%
1 18
 
6.2%
5 16
 
5.5%
6 13
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
84.9%
Dash Punctuation 44
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
20.6%
7 42
17.0%
2 38
15.4%
3 22
8.9%
9 21
8.5%
4 20
 
8.1%
1 18
 
7.3%
5 16
 
6.5%
6 13
 
5.3%
8 6
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
17.5%
- 44
15.1%
7 42
14.4%
2 38
13.1%
3 22
7.6%
9 21
7.2%
4 20
 
6.9%
1 18
 
6.2%
5 16
 
5.5%
6 13
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
17.5%
- 44
15.1%
7 42
14.4%
2 38
13.1%
3 22
7.6%
9 21
7.2%
4 20
 
6.9%
1 18
 
6.2%
5 16
 
5.5%
6 13
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

소재지우편번호
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing452
Missing (%)96.6%
Memory size3.8 KiB
2024-05-11T15:31:27.241206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters112
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

Unique12 ?
Unique (%)75.0%

Sample

1st row140-824
2nd row140-893
3rd row140-863
4th row140-909
5th row140-772
ValueCountFrequency (%)
140-863 2
12.5%
140-887 2
12.5%
140-824 1
 
6.2%
140-893 1
 
6.2%
140-909 1
 
6.2%
140-772 1
 
6.2%
140-729 1
 
6.2%
140-862 1
 
6.2%
140-857 1
 
6.2%
140-030 1
 
6.2%
Other values (4) 4
25.0%
2024-05-11T15:31:27.819180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 19
17.0%
0 19
17.0%
1 18
16.1%
- 16
14.3%
8 13
11.6%
7 8
7.1%
6 5
 
4.5%
3 5
 
4.5%
2 4
 
3.6%
9 4
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
85.7%
Dash Punctuation 16
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 19
19.8%
0 19
19.8%
1 18
18.8%
8 13
13.5%
7 8
8.3%
6 5
 
5.2%
3 5
 
5.2%
2 4
 
4.2%
9 4
 
4.2%
5 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 19
17.0%
0 19
17.0%
1 18
16.1%
- 16
14.3%
8 13
11.6%
7 8
7.1%
6 5
 
4.5%
3 5
 
4.5%
2 4
 
3.6%
9 4
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 19
17.0%
0 19
17.0%
1 18
16.1%
- 16
14.3%
8 13
11.6%
7 8
7.1%
6 5
 
4.5%
3 5
 
4.5%
2 4
 
3.6%
9 4
 
3.6%
Distinct383
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:31:28.455498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length21.202991
Min length16

Characters and Unicode

Total characters9923
Distinct characters134
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)71.2%

Sample

1st row서울특별시 용산구 동자동 21-13
2nd row서울특별시 용산구 동자동 19-47
3rd row서울특별시 용산구 이태원동 260-60 이태원맨션
4th row서울특별시 용산구 갈월동 45-8
5th row서울특별시 용산구 동빙고동 250-3
ValueCountFrequency (%)
서울특별시 468
24.1%
용산구 468
24.1%
이태원동 149
 
7.7%
서계동 98
 
5.0%
후암동 51
 
2.6%
한남동 30
 
1.5%
33-56 28
 
1.4%
용산동2가 19
 
1.0%
보광동 18
 
0.9%
갈월동 17
 
0.9%
Other values (453) 597
30.7%
2024-05-11T15:31:29.481820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1475
 
14.9%
567
 
5.7%
493
 
5.0%
491
 
4.9%
469
 
4.7%
468
 
4.7%
468
 
4.7%
468
 
4.7%
468
 
4.7%
460
 
4.6%
Other values (124) 4096
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5914
59.6%
Decimal Number 2086
 
21.0%
Space Separator 1475
 
14.9%
Dash Punctuation 439
 
4.4%
Uppercase Letter 5
 
0.1%
Letter Number 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
567
9.6%
493
 
8.3%
491
 
8.3%
469
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
460
 
7.8%
167
 
2.8%
Other values (103) 1395
23.6%
Decimal Number
ValueCountFrequency (%)
1 386
18.5%
2 332
15.9%
3 303
14.5%
6 211
10.1%
4 195
9.3%
5 192
9.2%
0 141
 
6.8%
9 118
 
5.7%
7 105
 
5.0%
8 103
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
S 1
20.0%
U 1
20.0%
N 1
20.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
1475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5914
59.6%
Common 4003
40.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
567
9.6%
493
 
8.3%
491
 
8.3%
469
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
460
 
7.8%
167
 
2.8%
Other values (103) 1395
23.6%
Common
ValueCountFrequency (%)
1475
36.8%
- 439
 
11.0%
1 386
 
9.6%
2 332
 
8.3%
3 303
 
7.6%
6 211
 
5.3%
4 195
 
4.9%
5 192
 
4.8%
0 141
 
3.5%
9 118
 
2.9%
Other values (5) 211
 
5.3%
Latin
ValueCountFrequency (%)
B 1
16.7%
1
16.7%
S 1
16.7%
U 1
16.7%
N 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5914
59.6%
ASCII 4008
40.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1475
36.8%
- 439
 
11.0%
1 386
 
9.6%
2 332
 
8.3%
3 303
 
7.6%
6 211
 
5.3%
4 195
 
4.9%
5 192
 
4.8%
0 141
 
3.5%
9 118
 
2.9%
Other values (10) 216
 
5.4%
Hangul
ValueCountFrequency (%)
567
9.6%
493
 
8.3%
491
 
8.3%
469
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
468
 
7.9%
460
 
7.8%
167
 
2.8%
Other values (103) 1395
23.6%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct461
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:31:29.944966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length33.82906
Min length24

Characters and Unicode

Total characters15832
Distinct characters164
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

Unique454 ?
Unique (%)97.0%

Sample

1st row서울특별시 용산구 한강대로104다길 28 (동자동)
2nd row서울특별시 용산구 한강대로104길 41-8, 2층 (동자동)
3rd row서울특별시 용산구 회나무로13나길 31, 2층 (이태원동, 이태원맨션)
4th row서울특별시 용산구 한강대로96길 52, 101호 (갈월동)
5th row서울특별시 용산구 서빙고로67길 48-10, 2층 (동빙고동)
ValueCountFrequency (%)
서울특별시 468
 
15.9%
용산구 468
 
15.9%
이태원동 149
 
5.1%
서계동 98
 
3.3%
2층 76
 
2.6%
1층 54
 
1.8%
후암동 51
 
1.7%
청파로85가길 37
 
1.3%
한남동 30
 
1.0%
객실 29
 
1.0%
Other values (582) 1486
50.4%
2024-05-11T15:31:30.755575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2478
 
15.7%
1 691
 
4.4%
579
 
3.7%
2 556
 
3.5%
( 502
 
3.2%
) 502
 
3.2%
501
 
3.2%
500
 
3.2%
494
 
3.1%
491
 
3.1%
Other values (154) 8538
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8674
54.8%
Decimal Number 2865
 
18.1%
Space Separator 2478
 
15.7%
Other Punctuation 529
 
3.3%
Open Punctuation 502
 
3.2%
Close Punctuation 502
 
3.2%
Dash Punctuation 230
 
1.5%
Uppercase Letter 40
 
0.3%
Math Symbol 11
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
579
 
6.7%
501
 
5.8%
500
 
5.8%
494
 
5.7%
491
 
5.7%
469
 
5.4%
469
 
5.4%
468
 
5.4%
468
 
5.4%
468
 
5.4%
Other values (130) 3767
43.4%
Decimal Number
ValueCountFrequency (%)
1 691
24.1%
2 556
19.4%
0 314
11.0%
3 309
10.8%
4 263
 
9.2%
6 189
 
6.6%
5 180
 
6.3%
8 150
 
5.2%
7 122
 
4.3%
9 91
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 21
52.5%
A 15
37.5%
S 1
 
2.5%
U 1
 
2.5%
N 1
 
2.5%
G 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 431
81.5%
: 98
 
18.5%
Space Separator
ValueCountFrequency (%)
2478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 502
100.0%
Close Punctuation
ValueCountFrequency (%)
) 502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8674
54.8%
Common 7117
45.0%
Latin 41
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
579
 
6.7%
501
 
5.8%
500
 
5.8%
494
 
5.7%
491
 
5.7%
469
 
5.4%
469
 
5.4%
468
 
5.4%
468
 
5.4%
468
 
5.4%
Other values (130) 3767
43.4%
Common
ValueCountFrequency (%)
2478
34.8%
1 691
 
9.7%
2 556
 
7.8%
( 502
 
7.1%
) 502
 
7.1%
, 431
 
6.1%
0 314
 
4.4%
3 309
 
4.3%
4 263
 
3.7%
- 230
 
3.2%
Other values (7) 841
 
11.8%
Latin
ValueCountFrequency (%)
B 21
51.2%
A 15
36.6%
S 1
 
2.4%
U 1
 
2.4%
N 1
 
2.4%
G 1
 
2.4%
1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8674
54.8%
ASCII 7157
45.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2478
34.6%
1 691
 
9.7%
2 556
 
7.8%
( 502
 
7.0%
) 502
 
7.0%
, 431
 
6.0%
0 314
 
4.4%
3 309
 
4.3%
4 263
 
3.7%
- 230
 
3.2%
Other values (13) 881
 
12.3%
Hangul
ValueCountFrequency (%)
579
 
6.7%
501
 
5.8%
500
 
5.8%
494
 
5.7%
491
 
5.7%
469
 
5.4%
469
 
5.4%
468
 
5.4%
468
 
5.4%
468
 
5.4%
Other values (130) 3767
43.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)18.8%
Missing20
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean4347.4554
Minimum4300
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:31.134420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4302
Q14315.5
median4342
Q34389.25
95-th percentile4407
Maximum4427
Range127
Interquartile range (IQR)73.75

Descriptive statistics

Standard deviation36.898467
Coefficient of variation (CV)0.0084873712
Kurtosis-1.1507712
Mean4347.4554
Median Absolute Deviation (MAD)38.5
Skewness0.36578776
Sum1947660
Variance1361.4969
MonotonicityNot monotonic
2024-05-11T15:31:31.427831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4303 58
 
12.4%
4391 44
 
9.4%
4351 26
 
5.6%
4300 19
 
4.1%
4345 17
 
3.6%
4302 17
 
3.6%
4334 16
 
3.4%
4326 13
 
2.8%
4382 11
 
2.4%
4333 11
 
2.4%
Other values (74) 216
46.2%
(Missing) 20
 
4.3%
ValueCountFrequency (%)
4300 19
 
4.1%
4302 17
 
3.6%
4303 58
12.4%
4304 5
 
1.1%
4305 2
 
0.4%
4306 4
 
0.9%
4308 1
 
0.2%
4309 2
 
0.4%
4312 1
 
0.2%
4313 1
 
0.2%
ValueCountFrequency (%)
4427 2
0.4%
4421 1
 
0.2%
4420 1
 
0.2%
4419 1
 
0.2%
4417 1
 
0.2%
4416 1
 
0.2%
4414 2
0.4%
4413 4
0.9%
4411 1
 
0.2%
4410 3
0.6%
Distinct463
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:31:32.042000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25.5
Mean length9.5128205
Min length1

Characters and Unicode

Total characters4452
Distinct characters357
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique458 ?
Unique (%)97.9%

Sample

1st row클라라 하우스(Clara House)
2nd row마르페게스트하우스
3rd rowK stay
4th row로지칙스
5th rowHouse Bong
ValueCountFrequency (%)
house 80
 
9.8%
하우스 25
 
3.1%
게스트하우스 21
 
2.6%
stay 15
 
1.8%
스테이 11
 
1.3%
이태원 10
 
1.2%
guest 9
 
1.1%
seoul 9
 
1.1%
itaewon 9
 
1.1%
guesthouse 7
 
0.9%
Other values (558) 622
76.0%
2024-05-11T15:31:33.429703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
7.9%
253
 
5.7%
o 206
 
4.6%
e 195
 
4.4%
s 169
 
3.8%
152
 
3.4%
149
 
3.3%
u 132
 
3.0%
a 114
 
2.6%
99
 
2.2%
Other values (347) 2633
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1730
38.9%
Lowercase Letter 1368
30.7%
Uppercase Letter 741
16.6%
Space Separator 350
 
7.9%
Decimal Number 77
 
1.7%
Close Punctuation 72
 
1.6%
Open Punctuation 72
 
1.6%
Other Punctuation 36
 
0.8%
Connector Punctuation 4
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
253
 
14.6%
152
 
8.8%
149
 
8.6%
99
 
5.7%
56
 
3.2%
40
 
2.3%
38
 
2.2%
31
 
1.8%
26
 
1.5%
24
 
1.4%
Other values (275) 862
49.8%
Lowercase Letter
ValueCountFrequency (%)
o 206
15.1%
e 195
14.3%
s 169
12.4%
u 132
9.6%
a 114
8.3%
t 86
 
6.3%
n 66
 
4.8%
h 60
 
4.4%
l 53
 
3.9%
i 49
 
3.6%
Other values (15) 238
17.4%
Uppercase Letter
ValueCountFrequency (%)
H 95
12.8%
S 84
 
11.3%
A 56
 
7.6%
O 52
 
7.0%
N 49
 
6.6%
E 45
 
6.1%
I 41
 
5.5%
T 36
 
4.9%
U 32
 
4.3%
J 28
 
3.8%
Other values (15) 223
30.1%
Decimal Number
ValueCountFrequency (%)
2 20
26.0%
1 13
16.9%
0 11
14.3%
4 8
 
10.4%
3 6
 
7.8%
5 6
 
7.8%
9 5
 
6.5%
6 3
 
3.9%
8 3
 
3.9%
7 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
' 19
52.8%
& 7
 
19.4%
. 6
 
16.7%
, 2
 
5.6%
; 1
 
2.8%
@ 1
 
2.8%
Space Separator
ValueCountFrequency (%)
350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2110
47.4%
Hangul 1727
38.8%
Common 612
 
13.7%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
253
 
14.6%
152
 
8.8%
149
 
8.6%
99
 
5.7%
56
 
3.2%
40
 
2.3%
38
 
2.2%
31
 
1.8%
26
 
1.5%
24
 
1.4%
Other values (272) 859
49.7%
Latin
ValueCountFrequency (%)
o 206
 
9.8%
e 195
 
9.2%
s 169
 
8.0%
u 132
 
6.3%
a 114
 
5.4%
H 95
 
4.5%
t 86
 
4.1%
S 84
 
4.0%
n 66
 
3.1%
h 60
 
2.8%
Other values (41) 903
42.8%
Common
ValueCountFrequency (%)
350
57.2%
) 72
 
11.8%
( 72
 
11.8%
2 20
 
3.3%
' 19
 
3.1%
1 13
 
2.1%
0 11
 
1.8%
4 8
 
1.3%
& 7
 
1.1%
3 6
 
1.0%
Other values (11) 34
 
5.6%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2721
61.1%
Hangul 1727
38.8%
CJK 3
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
 
12.9%
o 206
 
7.6%
e 195
 
7.2%
s 169
 
6.2%
u 132
 
4.9%
a 114
 
4.2%
H 95
 
3.5%
t 86
 
3.2%
S 84
 
3.1%
) 72
 
2.6%
Other values (61) 1218
44.8%
Hangul
ValueCountFrequency (%)
253
 
14.6%
152
 
8.8%
149
 
8.6%
99
 
5.7%
56
 
3.2%
40
 
2.3%
38
 
2.2%
31
 
1.8%
26
 
1.5%
24
 
1.4%
Other values (272) 859
49.7%
Number Forms
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct378
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2014-06-16 00:00:00
Maximum2024-05-08 18:31:38
2024-05-11T15:31:33.767936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:34.076967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
U
245 
I
223 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 245
52.4%
I 223
47.6%

Length

2024-05-11T15:31:34.342120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:34.509678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 245
52.4%
i 223
47.6%
Distinct283
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2018-08-31 23:59:00
Maximum2023-12-05 00:08:00
2024-05-11T15:31:34.699161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:35.074391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct370
Distinct (%)79.6%
Missing3
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean198238.08
Minimum195563.54
Maximum200999.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:35.418327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195563.54
5-th percentile196722.66
Q1197097.99
median198005.16
Q3199259.98
95-th percentile200027.23
Maximum200999.32
Range5435.7854
Interquartile range (IQR)2161.9929

Descriptive statistics

Standard deviation1169.273
Coefficient of variation (CV)0.0058983271
Kurtosis-1.1235715
Mean198238.08
Median Absolute Deviation (MAD)1001.3725
Skewness0.065889777
Sum92180705
Variance1367199.4
MonotonicityNot monotonic
2024-05-11T15:31:35.713585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197097.9903 23
 
4.9%
197097.990255997 5
 
1.1%
198839.9744 4
 
0.9%
198039.3581 4
 
0.9%
199654.566890874 3
 
0.6%
197765.487996268 3
 
0.6%
198966.7523 3
 
0.6%
197048.7998 3
 
0.6%
199773.1118 3
 
0.6%
199508.7591 2
 
0.4%
Other values (360) 412
88.0%
(Missing) 3
 
0.6%
ValueCountFrequency (%)
195563.5351 1
0.2%
195641.0267 1
0.2%
195801.05735366 1
0.2%
195846.0524 1
0.2%
195860.0326 1
0.2%
195946.156 1
0.2%
196005.8364 1
0.2%
196084.8793 1
0.2%
196107.452461645 1
0.2%
196116.2113 1
0.2%
ValueCountFrequency (%)
200999.3205 1
0.2%
200962.5526 1
0.2%
200851.7814 1
0.2%
200700.1878 1
0.2%
200672.8717 2
0.4%
200417.5609 1
0.2%
200385.1705 1
0.2%
200342.809856979 1
0.2%
200282.0259 1
0.2%
200281.848207826 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct370
Distinct (%)79.6%
Missing3
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean448808.65
Minimum446486.01
Maximum450283.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:36.067003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446486.01
5-th percentile447256.32
Q1447933.69
median448767.47
Q3449909.81
95-th percentile450129.7
Maximum450283.58
Range3797.5728
Interquartile range (IQR)1976.115

Descriptive statistics

Standard deviation1003.7673
Coefficient of variation (CV)0.0022365149
Kurtosis-1.2342861
Mean448808.65
Median Absolute Deviation (MAD)904.7854
Skewness-0.10045488
Sum2.0869602 × 108
Variance1007548.7
MonotonicityNot monotonic
2024-05-11T15:31:36.389606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450012.7962 23
 
4.9%
450012.796232665 5
 
1.1%
448323.2497 4
 
0.9%
449936.3668 4
 
0.9%
447920.761508879 3
 
0.6%
449816.084820493 3
 
0.6%
448115.875 3
 
0.6%
450012.3017 3
 
0.6%
448034.4731 3
 
0.6%
447738.9497 2
 
0.4%
Other values (360) 412
88.0%
(Missing) 3
 
0.6%
ValueCountFrequency (%)
446486.0063 1
0.2%
446487.3618 1
0.2%
446496.72306011 1
0.2%
446550.416112404 1
0.2%
446594.9934 1
0.2%
446702.511746364 1
0.2%
446738.259397783 1
0.2%
446813.086 1
0.2%
446816.617870695 1
0.2%
446834.2356 1
0.2%
ValueCountFrequency (%)
450283.579107551 1
0.2%
450263.5312 1
0.2%
450260.0569 1
0.2%
450260.056866073 1
0.2%
450244.1867 2
0.4%
450236.9689 2
0.4%
450236.968893189 2
0.4%
450230.7269 2
0.4%
450221.094117628 1
0.2%
450159.710771594 1
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
외국인관광 도시민박업
334 
<NA>
134 

Length

Max length11
Median length11
Mean length8.9957265
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 334
71.4%
<NA> 134
28.6%

Length

2024-05-11T15:31:36.668958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:36.906898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 334
41.6%
도시민박업 334
41.6%
na 134
16.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
384 
일반주거지역
64 
준주거지역
 
11
주거지역
 
9

Length

Max length6
Median length4
Mean length4.2970085
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> 384
82.1%
일반주거지역 64
 
13.7%
준주거지역 11
 
2.4%
주거지역 9
 
1.9%

Length

2024-05-11T15:31:37.127899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:37.344739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 384
82.1%
일반주거지역 64
 
13.7%
준주거지역 11
 
2.4%
주거지역 9
 
1.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)6.2%
Missing323
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.3655172
Minimum0
Maximum12
Zeros84
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:37.570620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9748903
Coefficient of variation (CV)1.446258
Kurtosis5.8353196
Mean1.3655172
Median Absolute Deviation (MAD)0
Skewness1.925362
Sum198
Variance3.9001916
MonotonicityNot monotonic
2024-05-11T15:31:37.837496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 84
 
17.9%
3 20
 
4.3%
2 17
 
3.6%
4 13
 
2.8%
1 4
 
0.9%
5 3
 
0.6%
6 2
 
0.4%
9 1
 
0.2%
12 1
 
0.2%
(Missing) 323
69.0%
ValueCountFrequency (%)
0 84
17.9%
1 4
 
0.9%
2 17
 
3.6%
3 20
 
4.3%
4 13
 
2.8%
5 3
 
0.6%
6 2
 
0.4%
9 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
12 1
 
0.2%
9 1
 
0.2%
6 2
 
0.4%
5 3
 
0.6%
4 13
 
2.8%
3 20
 
4.3%
2 17
 
3.6%
1 4
 
0.9%
0 84
17.9%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
434 
주택가주변
 
26
아파트지역
 
4
학교정화(상대)
 
2
기타
 
2

Length

Max length8
Median length4
Mean length4.0726496
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> 434
92.7%
주택가주변 26
 
5.6%
아파트지역 4
 
0.9%
학교정화(상대) 2
 
0.4%
기타 2
 
0.4%

Length

2024-05-11T15:31:38.048029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:38.264419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 434
92.7%
주택가주변 26
 
5.6%
아파트지역 4
 
0.9%
학교정화(상대 2
 
0.4%
기타 2
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

건물용도명
Categorical

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
292 
단독주택
80 
다가구용 주택(공동주택적용)
40 
다세대주택
39 
아파트
 
11
Other values (2)
 
6

Length

Max length15
Median length4
Mean length5.017094
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 292
62.4%
단독주택 80
 
17.1%
다가구용 주택(공동주택적용) 40
 
8.5%
다세대주택 39
 
8.3%
아파트 11
 
2.4%
연립주택 5
 
1.1%
다중주택(공동주택적용) 1
 
0.2%

Length

2024-05-11T15:31:38.485729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:38.654892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
57.5%
단독주택 80
 
15.7%
다가구용 40
 
7.9%
주택(공동주택적용 40
 
7.9%
다세대주택 39
 
7.7%
아파트 11
 
2.2%
연립주택 5
 
1.0%
다중주택(공동주택적용 1
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)6.3%
Missing326
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean1.1690141
Minimum0
Maximum11
Zeros85
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:38.838994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8754549
Coefficient of variation (CV)1.6043048
Kurtosis7.8092346
Mean1.1690141
Median Absolute Deviation (MAD)0
Skewness2.3749218
Sum166
Variance3.5173309
MonotonicityNot monotonic
2024-05-11T15:31:38.992320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 85
 
18.2%
2 25
 
5.3%
3 12
 
2.6%
1 7
 
1.5%
4 6
 
1.3%
6 3
 
0.6%
5 2
 
0.4%
10 1
 
0.2%
11 1
 
0.2%
(Missing) 326
69.7%
ValueCountFrequency (%)
0 85
18.2%
1 7
 
1.5%
2 25
 
5.3%
3 12
 
2.6%
4 6
 
1.3%
5 2
 
0.4%
6 3
 
0.6%
10 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
10 1
 
0.2%
6 3
 
0.6%
5 2
 
0.4%
4 6
 
1.3%
3 12
 
2.6%
2 25
 
5.3%
1 7
 
1.5%
0 85
18.2%

지하층수
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
349 
0
92 
1
 
27

Length

Max length4
Median length4
Mean length3.2371795
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> 349
74.6%
0 92
 
19.7%
1 27
 
5.8%

Length

2024-05-11T15:31:39.169922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:39.326307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
74.6%
0 92
 
19.7%
1 27
 
5.8%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.9%
Missing249
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean1.6849315
Minimum0
Maximum16
Zeros74
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:39.462513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1559181
Coefficient of variation (CV)1.2795286
Kurtosis12.008228
Mean1.6849315
Median Absolute Deviation (MAD)1
Skewness2.8086997
Sum369
Variance4.6479829
MonotonicityNot monotonic
2024-05-11T15:31:39.656472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 74
 
15.8%
2 53
 
11.3%
1 49
 
10.5%
3 14
 
3.0%
4 11
 
2.4%
5 9
 
1.9%
6 2
 
0.4%
9 2
 
0.4%
7 1
 
0.2%
8 1
 
0.2%
Other values (3) 3
 
0.6%
(Missing) 249
53.2%
ValueCountFrequency (%)
0 74
15.8%
1 49
10.5%
2 53
11.3%
3 14
 
3.0%
4 11
 
2.4%
5 9
 
1.9%
6 2
 
0.4%
7 1
 
0.2%
8 1
 
0.2%
9 2
 
0.4%
ValueCountFrequency (%)
16 1
 
0.2%
12 1
 
0.2%
10 1
 
0.2%
9 2
 
0.4%
8 1
 
0.2%
7 1
 
0.2%
6 2
 
0.4%
5 9
1.9%
4 11
2.4%
3 14
3.0%

건축연면적
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:39.896101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:40.085955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

영문상호명
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing459
Missing (%)98.1%
Memory size3.8 KiB
2024-05-11T15:31:40.282320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length14.111111
Min length10

Characters and Unicode

Total characters127
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowNoel's Guest House
2nd rowSeoulHouse
3rd rowSeoul Cube Itaewon
4th rowHan river View
5th rowzion guesthouse
ValueCountFrequency (%)
house 2
 
9.5%
itaewon 2
 
9.5%
noel's 1
 
4.8%
guesthouse 1
 
4.8%
robin's 1
 
4.8%
nomad 1
 
4.8%
yang 1
 
4.8%
audrey 1
 
4.8%
cielo 1
 
4.8%
casa 1
 
4.8%
Other values (9) 9
42.9%
2024-05-11T15:31:40.724095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 17
13.4%
o 13
 
10.2%
12
 
9.4%
s 10
 
7.9%
u 10
 
7.9%
a 7
 
5.5%
n 6
 
4.7%
i 5
 
3.9%
t 5
 
3.9%
l 4
 
3.1%
Other values (22) 38
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 96
75.6%
Uppercase Letter 17
 
13.4%
Space Separator 12
 
9.4%
Other Punctuation 2
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17
17.7%
o 13
13.5%
s 10
10.4%
u 10
10.4%
a 7
7.3%
n 6
 
6.2%
i 5
 
5.2%
t 5
 
5.2%
l 4
 
4.2%
r 3
 
3.1%
Other values (10) 16
16.7%
Uppercase Letter
ValueCountFrequency (%)
H 4
23.5%
N 3
17.6%
I 2
11.8%
S 2
11.8%
V 1
 
5.9%
G 1
 
5.9%
A 1
 
5.9%
C 1
 
5.9%
Y 1
 
5.9%
R 1
 
5.9%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113
89.0%
Common 14
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17
15.0%
o 13
11.5%
s 10
 
8.8%
u 10
 
8.8%
a 7
 
6.2%
n 6
 
5.3%
i 5
 
4.4%
t 5
 
4.4%
l 4
 
3.5%
H 4
 
3.5%
Other values (20) 32
28.3%
Common
ValueCountFrequency (%)
12
85.7%
' 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 17
13.4%
o 13
 
10.2%
12
 
9.4%
s 10
 
7.9%
u 10
 
7.9%
a 7
 
5.5%
n 6
 
4.7%
i 5
 
3.9%
t 5
 
3.9%
l 4
 
3.1%
Other values (22) 38
29.9%

영문상호주소
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing461
Missing (%)98.5%
Memory size3.8 KiB
2024-05-11T15:31:40.939720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.857143
Min length7

Characters and Unicode

Total characters181
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st rowSeoul Metro City B&B
2nd rowHome Stay for Foreign Tourists
3rd rowHome Stay for Foreign Tourists
4th rowBUSNESS
5th rowForeign Tourist Urban Home-stay Business
ValueCountFrequency (%)
foreign 4
13.8%
for 3
10.3%
seoul 2
 
6.9%
metro 2
 
6.9%
city 2
 
6.9%
b&b 2
 
6.9%
home 2
 
6.9%
stay 2
 
6.9%
tourists 2
 
6.9%
tourist 2
 
6.9%
Other values (5) 6
20.7%
2024-05-11T15:31:41.302932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
12.2%
o 15
 
8.3%
e 11
 
6.1%
r 11
 
6.1%
t 10
 
5.5%
S 9
 
5.0%
s 9
 
5.0%
i 9
 
5.0%
B 7
 
3.9%
u 6
 
3.3%
Other values (24) 72
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 96
53.0%
Uppercase Letter 60
33.1%
Space Separator 22
 
12.2%
Other Punctuation 2
 
1.1%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 9
15.0%
B 7
11.7%
T 6
10.0%
F 5
8.3%
U 4
 
6.7%
O 4
 
6.7%
R 4
 
6.7%
H 4
 
6.7%
N 3
 
5.0%
E 3
 
5.0%
Other values (6) 11
18.3%
Lowercase Letter
ValueCountFrequency (%)
o 15
15.6%
e 11
11.5%
r 11
11.5%
t 10
10.4%
s 9
9.4%
i 9
9.4%
u 6
 
6.2%
n 5
 
5.2%
y 5
 
5.2%
a 4
 
4.2%
Other values (5) 11
11.5%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 156
86.2%
Common 25
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15
 
9.6%
e 11
 
7.1%
r 11
 
7.1%
t 10
 
6.4%
S 9
 
5.8%
s 9
 
5.8%
i 9
 
5.8%
B 7
 
4.5%
u 6
 
3.8%
T 6
 
3.8%
Other values (21) 63
40.4%
Common
ValueCountFrequency (%)
22
88.0%
& 2
 
8.0%
- 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
 
12.2%
o 15
 
8.3%
e 11
 
6.1%
r 11
 
6.1%
t 10
 
5.5%
S 9
 
5.0%
s 9
 
5.0%
i 9
 
5.0%
B 7
 
3.9%
u 6
 
3.3%
Other values (24) 72
39.8%

선박총톤수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:41.498917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:41.647206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

선박척수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:41.813543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:41.988070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:42.164625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:42.393976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

좌석수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:42.559599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:42.699470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:42.911598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:43.086462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

시설면적
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)87.7%
Missing134
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean75.273563
Minimum12.5
Maximum229.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:43.261857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile28.4595
Q143.8675
median60.065
Q393.5075
95-th percentile184.473
Maximum229.2
Range216.7
Interquartile range (IQR)49.64

Descriptive statistics

Standard deviation45.625379
Coefficient of variation (CV)0.60612753
Kurtosis1.2093169
Mean75.273563
Median Absolute Deviation (MAD)21.83
Skewness1.3199843
Sum25141.37
Variance2081.6752
MonotonicityNot monotonic
2024-05-11T15:31:43.480715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.91 4
 
0.9%
29.14 4
 
0.9%
29.3 3
 
0.6%
40.0 3
 
0.6%
29.59 3
 
0.6%
29.84 2
 
0.4%
29.33 2
 
0.4%
48.53 2
 
0.4%
29.2 2
 
0.4%
32.35 2
 
0.4%
Other values (283) 307
65.6%
(Missing) 134
28.6%
ValueCountFrequency (%)
12.5 1
0.2%
18.84 2
0.4%
20.36 1
0.2%
23.47 1
0.2%
24.01 1
0.2%
25.0 1
0.2%
25.79 1
0.2%
26.0 2
0.4%
26.1 1
0.2%
26.45 1
0.2%
ValueCountFrequency (%)
229.2 1
0.2%
221.82 1
0.2%
216.75 1
0.2%
213.33 1
0.2%
209.53 1
0.2%
204.67 1
0.2%
200.55 1
0.2%
198.15 1
0.2%
197.34 1
0.2%
196.76 1
0.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
363 
0
105 

Length

Max length4
Median length4
Mean length3.3269231
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> 363
77.6%
0 105
 
22.4%

Length

2024-05-11T15:31:43.723560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:43.901384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
77.6%
0 105
 
22.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)18.3%
Missing277
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean34024351
Minimum0
Maximum5.5 × 108
Zeros17
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:44.447038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median20000000
Q335000000
95-th percentile1.1 × 108
Maximum5.5 × 108
Range5.5 × 108
Interquartile range (IQR)25000000

Descriptive statistics

Standard deviation61966382
Coefficient of variation (CV)1.8212363
Kurtosis42.527336
Mean34024351
Median Absolute Deviation (MAD)10000000
Skewness5.9275159
Sum6.498651 × 109
Variance3.8398325 × 1015
MonotonicityNot monotonic
2024-05-11T15:31:44.710359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10000000 34
 
7.3%
20000000 29
 
6.2%
30000000 26
 
5.6%
0 17
 
3.6%
50000000 16
 
3.4%
5000000 10
 
2.1%
40000000 8
 
1.7%
15000000 7
 
1.5%
35000000 4
 
0.9%
1000000 4
 
0.9%
Other values (25) 36
 
7.7%
(Missing) 277
59.2%
ValueCountFrequency (%)
0 17
3.6%
1000 1
 
0.2%
1000000 4
 
0.9%
2000000 1
 
0.2%
3000000 1
 
0.2%
5000000 10
 
2.1%
6800000 1
 
0.2%
7000000 1
 
0.2%
8000000 1
 
0.2%
10000000 34
7.3%
ValueCountFrequency (%)
550000000 1
 
0.2%
500000000 1
 
0.2%
290000000 1
 
0.2%
170000000 2
0.4%
150000000 2
0.4%
130000000 2
0.4%
120000000 1
 
0.2%
100000000 3
0.6%
70000000 3
0.6%
60000000 3
0.6%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing468
Missing (%)100.0%
Memory size4.2 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)38.3%
Missing134
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean75.254491
Minimum13
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:31:44.952047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile28.65
Q144
median60
Q393.75
95-th percentile184.35
Maximum229
Range216
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation45.635301
Coefficient of variation (CV)0.60641299
Kurtosis1.2119369
Mean75.254491
Median Absolute Deviation (MAD)22
Skewness1.3203483
Sum25135
Variance2082.5807
MonotonicityNot monotonic
2024-05-11T15:31:45.221449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 14
 
3.0%
50 9
 
1.9%
30 9
 
1.9%
63 8
 
1.7%
40 8
 
1.7%
46 8
 
1.7%
51 7
 
1.5%
60 7
 
1.5%
47 6
 
1.3%
57 6
 
1.3%
Other values (118) 252
53.8%
(Missing) 134
28.6%
ValueCountFrequency (%)
13 1
 
0.2%
19 2
 
0.4%
20 1
 
0.2%
23 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
26 5
 
1.1%
27 4
 
0.9%
28 1
 
0.2%
29 14
3.0%
ValueCountFrequency (%)
229 1
0.2%
222 1
0.2%
217 1
0.2%
213 1
0.2%
210 1
0.2%
205 1
0.2%
201 1
0.2%
198 1
0.2%
197 2
0.4%
194 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03020000CDFI22622120230000562023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 동자동 21-13서울특별시 용산구 한강대로104다길 28 (동자동)4333클라라 하우스(Clara House)2023-08-10 10:07:27I2022-12-07 23:02:00.0<NA>197674.455264449711.230699<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFI22622120230000592023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 동자동 19-47서울특별시 용산구 한강대로104길 41-8, 2층 (동자동)4324마르페게스트하우스2023-08-10 13:50:54I2022-12-07 23:02:00.0<NA>197686.443524449839.909005<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFI22622120230000582023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 260-60 이태원맨션서울특별시 용산구 회나무로13나길 31, 2층 (이태원동, 이태원맨션)4342K stay2023-08-10 13:50:05I2022-12-07 23:02:00.0<NA>199183.181099448808.035555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFI22622120230000572023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 45-8서울특별시 용산구 한강대로96길 52, 101호 (갈월동)4334로지칙스2023-08-10 10:12:43I2022-12-07 23:02:00.0<NA>197686.119327449385.562724<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFI22622120230000602023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 동빙고동 250-3서울특별시 용산구 서빙고로67길 48-10, 2층 (동빙고동)4398House Bong2023-08-10 16:02:01I2022-12-07 23:02:00.0<NA>199460.750601446738.259398<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFI22622120230000682023-09-18<NA>3폐업3폐업2024-02-19<NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 33-259서울특별시 용산구 청파로73길 82, 202호 (서계동)4303크루아상하우스2024-02-20 13:36:57U2023-12-01 22:02:00.0<NA>196989.880552449968.25148<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFI22622120230000692023-09-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 11-24서울특별시 용산구 두텁바위로5길 33, 지층 (갈월동)4334SI스테이2023-09-19 17:08:09I2022-12-08 22:01:00.0<NA>197532.708833449385.392171<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFI22622120230000532023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 65-148서울특별시 용산구 한강대로14가길 58-3 (한강로3가)4389모모하우스2023-08-08 10:28:34I2022-12-07 23:00:00.0<NA>196681.318582446702.511746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFI22622120190000352019-07-03<NA>3폐업3폐업2023-08-08<NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 238-52서울특별시 용산구 만리재로28길 5-30 (객실:2개) 1층 102호 (서계동)4302크리스탈하우스2023-08-08 13:01:08U2022-12-07 23:00:00.0<NA>196893.253804450091.132385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFI22622120230000552023-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 33-56서울특별시 용산구 청파로85가길 10-4, A동 401,402호 (서계동)4303라온하우스2023-08-09 13:11:02I2022-12-07 23:02:00.0<NA>197097.990256450012.796233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
4583020000CDFI226221201500000520150209<NA>3폐업3폐업20180330<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 732-159번지서울특별시 용산구 우사단로14길 36 (한남동)44059 Road2019-05-01U2019-05-03 02:40:00.0<NA>199711.9033448000.1142외국인관광 도시민박업<NA><NA>2<NA><NA><NA>단독주택<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33
4593020000CDFI226221201700004220171018<NA>3폐업3폐업20201119<NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 33-76서울특별시 용산구 청파로85가길 10-14, 2층 (서계동, 객실 : 1개)4303엘림하우스2020-11-19U2020-11-21 02:40:00.0<NA>197048.7998450012.3017외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>단독주택<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44.07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44
4603020000CDFI226221201700004420171113<NA>3폐업3폐업20180629<NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 23-18번지서울특별시 용산구 신흥로 66, 지층 1호 (용산동2가, 객실:1개)4339S house2018-07-30I2018-08-31 23:59:00.0<NA>198792.7023449098.9856외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>다세대주택<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47.14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47
4613020000CDFI226221201800002920181203<NA>3폐업3폐업20191227<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 736-39번지서울특별시 용산구 이태원로 216-6, 객실:2개 202호 (한남동)4404Robin's Nest 22019-12-27U2019-12-29 02:40:00.0<NA>199773.1118448034.4731외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44.66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45
4623020000CDFI226221201800003020181203<NA>3폐업3폐업20201007<NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 14-68서울특별시 용산구 한강대로92길 11-8, 객실:5개 (갈월동)4334더블랙웨일Ⅱ2020-10-07U2020-10-09 02:40:00.0<NA>197532.7559449334.0004외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>124.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>124
4633020000CDFI226221201800002620181119<NA>3폐업3폐업20201028<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 101-25서울특별시 용산구 보광로55길 1-11 (이태원동)4391이태원타임존게스트하우스2020-10-29U2020-10-31 02:40:00.0<NA>199413.1311447811.1011외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>단독주택<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>57.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>57
4643020000CDFI226221201800002720181120<NA>3폐업3폐업20190424<NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 30-30번지 정우빌라서울특별시 용산구 후암로34길 31, 202호 (후암동, 정우빌라)4327People2019-04-24U2019-04-26 02:40:00.0<NA>198039.3581449936.3668외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>209.53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>210
4653020000CDFI226221202000002720201120<NA>3폐업3폐업20220608<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 561서울특별시 용산구 녹사평대로 222-1, 3층 (이태원동)4345공간5612022-06-08U2022-06-10 02:40:00.0<NA>198779.931448366.7085외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27.32<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>27
4663020000CDFI226221201300000820130108<NA>2휴업2휴업<NA>2016072220170721<NA><NA><NA>140-731서울특별시 용산구 이태원동 22-2번지 청화아파트 4동 1101호서울특별시 용산구 장문로 27 (이태원동, 22-2 청화아파트 4동 1101호)<NA>Guest house Itawon hills2016-09-05I2018-08-31 23:59:00.0<NA>199471.3097447522.747외국인관광 도시민박업<NA>일반주거지역12아파트지역<NA><NA>아파트11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>142.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>143
4673020000CDFI226221201900006020191105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 53-11서울특별시 용산구 청파로 359-16 (서계동)4303읿스 네스트(Syun's Nest)2020-10-29U2020-10-31 02:40:00.0<NA>197164.924449963.323외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60.07<NA><NA><NA><NA><NA><NA><NA><NA>3000000<NA><NA><NA>60