Overview

Dataset statistics

Number of variables61
Number of observations28
Missing cells760
Missing cells (%)44.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory533.7 B

Variable types

Categorical19
Text9
DateTime3
Unsupported20
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,관광숙박업상세명
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17425/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (57.8%)Imbalance
문화사업자구분명 is highly imbalanced (50.9%)Imbalance
선박총톤수 is highly imbalanced (62.9%)Imbalance
선박척수 is highly imbalanced (62.9%)Imbalance
무대면적 is highly imbalanced (62.9%)Imbalance
좌석수 is highly imbalanced (62.9%)Imbalance
회의실별동시수용인원 is highly imbalanced (62.9%)Imbalance
놀이시설수 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 28 (100.0%) missing valuesMissing
휴업시작일자 has 28 (100.0%) missing valuesMissing
휴업종료일자 has 28 (100.0%) missing valuesMissing
재개업일자 has 28 (100.0%) missing valuesMissing
전화번호 has 1 (3.6%) missing valuesMissing
소재지면적 has 28 (100.0%) missing valuesMissing
소재지우편번호 has 22 (78.6%) missing valuesMissing
도로명주소 has 1 (3.6%) missing valuesMissing
도로명우편번호 has 3 (10.7%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
총층수 has 12 (42.9%) missing valuesMissing
주변환경명 has 23 (82.1%) missing valuesMissing
제작취급품목내용 has 28 (100.0%) missing valuesMissing
보험기관명 has 28 (100.0%) missing valuesMissing
지상층수 has 12 (42.9%) missing valuesMissing
객실수 has 13 (46.4%) missing valuesMissing
건축연면적 has 17 (60.7%) missing valuesMissing
영문상호명 has 26 (92.9%) missing valuesMissing
영문상호주소 has 26 (92.9%) missing valuesMissing
선박제원 has 28 (100.0%) missing valuesMissing
기념품종류 has 28 (100.0%) missing valuesMissing
시설면적 has 12 (42.9%) missing valuesMissing
놀이기구수내역 has 28 (100.0%) missing valuesMissing
방송시설유무 has 28 (100.0%) missing valuesMissing
발전시설유무 has 28 (100.0%) missing valuesMissing
의무실유무 has 28 (100.0%) missing valuesMissing
안내소유무 has 28 (100.0%) missing valuesMissing
기획여행보험시작일자 has 28 (100.0%) missing valuesMissing
기획여행보험종료일자 has 28 (100.0%) missing valuesMissing
자본금 has 20 (71.4%) missing valuesMissing
보험시작일자 has 28 (100.0%) missing valuesMissing
보험종료일자 has 28 (100.0%) missing valuesMissing
부대시설내역 has 28 (100.0%) missing valuesMissing
시설규모 has 12 (42.9%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-05-11 02:53:57.395137
Analysis finished2024-05-11 02:53:58.951941
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
3230000
28 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 28
100.0%

Length

2024-05-11T02:53:59.126588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:59.495065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 28
100.0%

관리번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T02:53:59.926741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters560
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031986000001
2nd rowCDFI2260031995000001
3rd rowCDFI2260031997000001
4th rowCDFI2260032002000001
5th rowCDFI2260032003000001
ValueCountFrequency (%)
cdfi2260031986000001 1
 
3.6%
cdfi2260031995000001 1
 
3.6%
cdfi2260032021000003 1
 
3.6%
cdfi2260032021000002 1
 
3.6%
cdfi2260032021000001 1
 
3.6%
cdfi2260032020000001 1
 
3.6%
cdfi2260032019000002 1
 
3.6%
cdfi2260032019000001 1
 
3.6%
cdfi2260032018000001 1
 
3.6%
cdfi2260032017000003 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T02:54:00.861633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
40.5%
2 94
16.8%
1 38
 
6.8%
3 35
 
6.2%
6 34
 
6.1%
C 28
 
5.0%
D 28
 
5.0%
F 28
 
5.0%
I 28
 
5.0%
9 8
 
1.4%
Other values (4) 12
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 448
80.0%
Uppercase Letter 112
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
50.7%
2 94
21.0%
1 38
 
8.5%
3 35
 
7.8%
6 34
 
7.6%
9 8
 
1.8%
7 4
 
0.9%
5 3
 
0.7%
4 3
 
0.7%
8 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 28
25.0%
D 28
25.0%
F 28
25.0%
I 28
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 448
80.0%
Latin 112
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
50.7%
2 94
21.0%
1 38
 
8.5%
3 35
 
7.8%
6 34
 
7.6%
9 8
 
1.8%
7 4
 
0.9%
5 3
 
0.7%
4 3
 
0.7%
8 2
 
0.4%
Latin
ValueCountFrequency (%)
C 28
25.0%
D 28
25.0%
F 28
25.0%
I 28
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
40.5%
2 94
16.8%
1 38
 
6.8%
3 35
 
6.2%
6 34
 
6.1%
C 28
 
5.0%
D 28
 
5.0%
F 28
 
5.0%
I 28
 
5.0%
9 8
 
1.4%
Other values (4) 12
 
2.1%

인허가일자
Date

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1986-10-01 00:00:00
Maximum2023-08-08 00:00:00
2024-05-11T02:54:01.260903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:54:01.723546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
23 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
82.1%
3 5
 
17.9%

Length

2024-05-11T02:54:02.157498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:02.465483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
82.1%
3 5
 
17.9%

영업상태명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
23 
폐업
5 

Length

Max length5
Median length5
Mean length4.4642857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 23
82.1%
폐업 5
 
17.9%

Length

2024-05-11T02:54:02.828002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:03.165974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 23
82.1%
폐업 5
 
17.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
13
23 
3
5 

Length

Max length2
Median length2
Mean length1.8214286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 23
82.1%
3 5
 
17.9%

Length

2024-05-11T02:54:03.512511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:03.923215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 23
82.1%
3 5
 
17.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업중
23 
폐업
5 

Length

Max length3
Median length3
Mean length2.8214286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 23
82.1%
폐업 5
 
17.9%

Length

2024-05-11T02:54:04.470169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:04.858817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 23
82.1%
폐업 5
 
17.9%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
23 
20070921
 
1
20080701
 
1
20091231
 
1
20201124
 
1

Length

Max length8
Median length4
Mean length4.7142857
Min length4

Unique

Unique5 ?
Unique (%)17.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20070921
5th row20080701

Common Values

ValueCountFrequency (%)
<NA> 23
82.1%
20070921 1
 
3.6%
20080701 1
 
3.6%
20091231 1
 
3.6%
20201124 1
 
3.6%
20210630 1
 
3.6%

Length

2024-05-11T02:54:05.249431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:05.667300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
82.1%
20070921 1
 
3.6%
20080701 1
 
3.6%
20091231 1
 
3.6%
20201124 1
 
3.6%
20210630 1
 
3.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2024-05-11T02:54:06.190804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.148148
Min length8

Characters and Unicode

Total characters301
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

Unique27 ?
Unique (%)100.0%

Sample

1st row02-419-7000
2nd row02-421-2761
3rd row02-400-6641
4th row421-2131
5th row02-422-1001
ValueCountFrequency (%)
02-419-7000 1
 
3.7%
02-420-2211 1
 
3.7%
02-2092-6000 1
 
3.7%
02-2040-3188 1
 
3.7%
02-412-2220 1
 
3.7%
02-412-2601 1
 
3.7%
02-409-5919 1
 
3.7%
02-423-4300 1
 
3.7%
02-419-9990 1
 
3.7%
02-417-6660 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T02:54:07.261096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
22.9%
2 58
19.3%
- 53
17.6%
1 33
11.0%
4 30
10.0%
9 15
 
5.0%
3 15
 
5.0%
6 13
 
4.3%
7 7
 
2.3%
5 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 248
82.4%
Dash Punctuation 53
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
27.8%
2 58
23.4%
1 33
13.3%
4 30
12.1%
9 15
 
6.0%
3 15
 
6.0%
6 13
 
5.2%
7 7
 
2.8%
5 5
 
2.0%
8 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
22.9%
2 58
19.3%
- 53
17.6%
1 33
11.0%
4 30
10.0%
9 15
 
5.0%
3 15
 
5.0%
6 13
 
4.3%
7 7
 
2.3%
5 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
22.9%
2 58
19.3%
- 53
17.6%
1 33
11.0%
4 30
10.0%
9 15
 
5.0%
3 15
 
5.0%
6 13
 
4.3%
7 7
 
2.3%
5 5
 
1.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지우편번호
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing22
Missing (%)78.6%
Memory size356.0 B
2024-05-11T02:54:07.690928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1666667
Min length6

Characters and Unicode

Total characters37
Distinct characters8
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

Unique2 ?
Unique (%)33.3%

Sample

1st row138-220
2nd row138842
3rd row138827
4th row138827
5th row138828
ValueCountFrequency (%)
138842 2
33.3%
138827 2
33.3%
138-220 1
16.7%
138828 1
16.7%
2024-05-11T02:54:08.664221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 12
32.4%
2 7
18.9%
1 6
16.2%
3 6
16.2%
4 2
 
5.4%
7 2
 
5.4%
- 1
 
2.7%
0 1
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
97.3%
Dash Punctuation 1
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 12
33.3%
2 7
19.4%
1 6
16.7%
3 6
16.7%
4 2
 
5.6%
7 2
 
5.6%
0 1
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 12
32.4%
2 7
18.9%
1 6
16.2%
3 6
16.2%
4 2
 
5.4%
7 2
 
5.4%
- 1
 
2.7%
0 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 12
32.4%
2 7
18.9%
1 6
16.2%
3 6
16.2%
4 2
 
5.4%
7 2
 
5.4%
- 1
 
2.7%
0 1
 
2.7%

지번주소
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T02:54:09.368854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21.5
Mean length21.071429
Min length16

Characters and Unicode

Total characters590
Distinct characters55
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row서울특별시 송파구 잠실동 40-1
2nd row서울특별시 송파구 잠실동 250-9
3rd row서울특별시 송파구 가락동 98-5번지
4th row서울특별시 송파구 석촌동 24번지
5th row서울특별시 송파구 방이동 44-5번지
ValueCountFrequency (%)
서울특별시 28
23.1%
송파구 28
23.1%
방이동 8
 
6.6%
잠실동 6
 
5.0%
석촌동 4
 
3.3%
가락동 3
 
2.5%
신천동 3
 
2.5%
kt송파타워 2
 
1.7%
180-3번지 2
 
1.7%
44-5번지 2
 
1.7%
Other values (32) 35
28.9%
2024-05-11T02:54:10.340714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
18.8%
송 30
 
5.1%
파 30
 
5.1%
서 28
 
4.7%
동 28
 
4.7%
특 28
 
4.7%
별 28
 
4.7%
시 28
 
4.7%
구 28
 
4.7%
울 28
 
4.7%
Other values (45) 223
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
61.4%
Space Separator 111
 
18.8%
Decimal Number 91
 
15.4%
Dash Punctuation 22
 
3.7%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 30
 
8.3%
파 30
 
8.3%
서 28
 
7.7%
동 28
 
7.7%
특 28
 
7.7%
별 28
 
7.7%
시 28
 
7.7%
구 28
 
7.7%
울 28
 
7.7%
지 14
 
3.9%
Other values (31) 92
25.4%
Decimal Number
ValueCountFrequency (%)
1 17
18.7%
8 11
12.1%
6 10
11.0%
2 9
9.9%
0 9
9.9%
4 9
9.9%
9 8
8.8%
5 7
7.7%
3 7
7.7%
7 4
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
61.4%
Common 224
38.0%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 30
 
8.3%
파 30
 
8.3%
서 28
 
7.7%
동 28
 
7.7%
특 28
 
7.7%
별 28
 
7.7%
시 28
 
7.7%
구 28
 
7.7%
울 28
 
7.7%
지 14
 
3.9%
Other values (31) 92
25.4%
Common
ValueCountFrequency (%)
111
49.6%
- 22
 
9.8%
1 17
 
7.6%
8 11
 
4.9%
6 10
 
4.5%
2 9
 
4.0%
0 9
 
4.0%
4 9
 
4.0%
9 8
 
3.6%
5 7
 
3.1%
Other values (2) 11
 
4.9%
Latin
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
61.4%
ASCII 228
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
48.7%
- 22
 
9.6%
1 17
 
7.5%
8 11
 
4.8%
6 10
 
4.4%
2 9
 
3.9%
0 9
 
3.9%
4 9
 
3.9%
9 8
 
3.5%
5 7
 
3.1%
Other values (4) 15
 
6.6%
Hangul
ValueCountFrequency (%)
송 30
 
8.3%
파 30
 
8.3%
서 28
 
7.7%
동 28
 
7.7%
특 28
 
7.7%
별 28
 
7.7%
시 28
 
7.7%
구 28
 
7.7%
울 28
 
7.7%
지 14
 
3.9%
Other values (31) 92
25.4%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Memory size356.0 B
2024-05-11T02:54:11.065621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length30
Min length23

Characters and Unicode

Total characters810
Distinct characters92
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

Unique23 ?
Unique (%)85.2%

Sample

1st row서울특별시 송파구 올림픽로 240 (잠실동)
2nd row서울특별시 송파구 삼전로 67 (잠실동, 잠실관광호텔)
3rd row서울특별시 송파구 송파대로28길 5 (가락동, 가락관광호텔)
4th row서울특별시 송파구 위례성대로 10 (방이동)
5th row서울특별시 송파구 석촌호수로 216 (석촌동, 호텔 레이크)
ValueCountFrequency (%)
서울특별시 27
 
17.4%
송파구 27
 
17.4%
방이동 8
 
5.2%
잠실동 6
 
3.9%
석촌동 3
 
1.9%
가락동 3
 
1.9%
5 3
 
1.9%
오금로11길 3
 
1.9%
신천동 3
 
1.9%
10 2
 
1.3%
Other values (58) 70
45.2%
2024-05-11T02:54:12.207193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
16.0%
파 37
 
4.6%
송 35
 
4.3%
로 28
 
3.5%
서 27
 
3.3%
울 27
 
3.3%
특 27
 
3.3%
별 27
 
3.3%
시 27
 
3.3%
구 27
 
3.3%
Other values (82) 418
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
61.5%
Space Separator 130
 
16.0%
Decimal Number 94
 
11.6%
Close Punctuation 27
 
3.3%
Open Punctuation 27
 
3.3%
Other Punctuation 18
 
2.2%
Uppercase Letter 9
 
1.1%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 37
 
7.4%
송 35
 
7.0%
로 28
 
5.6%
서 27
 
5.4%
울 27
 
5.4%
특 27
 
5.4%
별 27
 
5.4%
시 27
 
5.4%
구 27
 
5.4%
동 27
 
5.4%
Other values (60) 209
42.0%
Decimal Number
ValueCountFrequency (%)
1 22
23.4%
2 20
21.3%
0 10
10.6%
5 9
9.6%
3 7
 
7.4%
6 6
 
6.4%
7 6
 
6.4%
8 5
 
5.3%
9 5
 
5.3%
4 4
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 3
33.3%
K 2
22.2%
O 1
 
11.1%
L 1
 
11.1%
E 1
 
11.1%
H 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
61.5%
Common 303
37.4%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 37
 
7.4%
송 35
 
7.0%
로 28
 
5.6%
서 27
 
5.4%
울 27
 
5.4%
특 27
 
5.4%
별 27
 
5.4%
시 27
 
5.4%
구 27
 
5.4%
동 27
 
5.4%
Other values (60) 209
42.0%
Common
ValueCountFrequency (%)
130
42.9%
) 27
 
8.9%
( 27
 
8.9%
1 22
 
7.3%
2 20
 
6.6%
, 17
 
5.6%
0 10
 
3.3%
5 9
 
3.0%
- 7
 
2.3%
3 7
 
2.3%
Other values (6) 27
 
8.9%
Latin
ValueCountFrequency (%)
T 3
33.3%
K 2
22.2%
O 1
 
11.1%
L 1
 
11.1%
E 1
 
11.1%
H 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
61.5%
ASCII 312
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
41.7%
) 27
 
8.7%
( 27
 
8.7%
1 22
 
7.1%
2 20
 
6.4%
, 17
 
5.4%
0 10
 
3.2%
5 9
 
2.9%
- 7
 
2.2%
3 7
 
2.2%
Other values (12) 36
 
11.5%
Hangul
ValueCountFrequency (%)
파 37
 
7.4%
송 35
 
7.0%
로 28
 
5.6%
서 27
 
5.4%
울 27
 
5.4%
특 27
 
5.4%
별 27
 
5.4%
시 27
 
5.4%
구 27
 
5.4%
동 27
 
5.4%
Other values (60) 209
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)68.0%
Missing3
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean5605.84
Minimum5543
Maximum5837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:12.566149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5543
5-th percentile5543
Q15551
median5557
Q35612
95-th percentile5789.4
Maximum5837
Range294
Interquartile range (IQR)61

Descriptive statistics

Standard deviation88.0874
Coefficient of variation (CV)0.015713506
Kurtosis1.1818784
Mean5605.84
Median Absolute Deviation (MAD)14
Skewness1.5081496
Sum140146
Variance7759.39
MonotonicityNot monotonic
2024-05-11T02:54:12.901757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5543 4
14.3%
5557 4
14.3%
5719 2
 
7.1%
5552 2
 
7.1%
5610 1
 
3.6%
5544 1
 
3.6%
5612 1
 
3.6%
5585 1
 
3.6%
5582 1
 
3.6%
5567 1
 
3.6%
Other values (7) 7
25.0%
(Missing) 3
10.7%
ValueCountFrequency (%)
5543 4
14.3%
5544 1
 
3.6%
5545 1
 
3.6%
5551 1
 
3.6%
5552 2
7.1%
5554 1
 
3.6%
5557 4
14.3%
5567 1
 
3.6%
5582 1
 
3.6%
5585 1
 
3.6%
ValueCountFrequency (%)
5837 1
3.6%
5807 1
3.6%
5719 2
7.1%
5713 1
3.6%
5697 1
3.6%
5612 1
3.6%
5610 1
3.6%
5585 1
3.6%
5582 1
3.6%
5567 1
3.6%

사업장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T02:54:13.441220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length12
Mean length11.214286
Min length4

Characters and Unicode

Total characters314
Distinct characters95
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row호텔롯데 롯데호텔월드
2nd row잠실스테이
3rd row가락관광호텔
4th rowHOTEL BELUGA
5th row올림피아나 관광호텔
ValueCountFrequency (%)
호텔 8
 
12.7%
hotel 4
 
6.3%
관광호텔 3
 
4.8%
더 3
 
4.8%
서비스드 2
 
3.2%
앤 2
 
3.2%
서울 2
 
3.2%
앰배서더 2
 
3.2%
소피텔 2
 
3.2%
호텔롯데 1
 
1.6%
Other values (34) 34
54.0%
2024-05-11T02:54:14.641795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
11.1%
텔 24
 
7.6%
호 23
 
7.3%
스 10
 
3.2%
E 8
 
2.5%
( 8
 
2.5%
) 8
 
2.5%
서 8
 
2.5%
L 7
 
2.2%
O 6
 
1.9%
Other values (85) 177
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
64.3%
Uppercase Letter 49
 
15.6%
Space Separator 35
 
11.1%
Decimal Number 10
 
3.2%
Open Punctuation 8
 
2.5%
Close Punctuation 8
 
2.5%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 24
 
11.9%
호 23
 
11.4%
스 10
 
5.0%
서 8
 
4.0%
관 6
 
3.0%
광 6
 
3.0%
더 5
 
2.5%
레 5
 
2.5%
이 5
 
2.5%
피 5
 
2.5%
Other values (59) 105
52.0%
Uppercase Letter
ValueCountFrequency (%)
E 8
16.3%
L 7
14.3%
O 6
12.2%
T 4
8.2%
H 4
8.2%
I 3
 
6.1%
M 2
 
4.1%
R 2
 
4.1%
N 2
 
4.1%
S 2
 
4.1%
Other values (7) 9
18.4%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
4 2
20.0%
1 2
20.0%
7 1
 
10.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
64.3%
Common 63
 
20.1%
Latin 49
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 24
 
11.9%
호 23
 
11.4%
스 10
 
5.0%
서 8
 
4.0%
관 6
 
3.0%
광 6
 
3.0%
더 5
 
2.5%
레 5
 
2.5%
이 5
 
2.5%
피 5
 
2.5%
Other values (59) 105
52.0%
Latin
ValueCountFrequency (%)
E 8
16.3%
L 7
14.3%
O 6
12.2%
T 4
8.2%
H 4
8.2%
I 3
 
6.1%
M 2
 
4.1%
R 2
 
4.1%
N 2
 
4.1%
S 2
 
4.1%
Other values (7) 9
18.4%
Common
ValueCountFrequency (%)
35
55.6%
( 8
 
12.7%
) 8
 
12.7%
2 4
 
6.3%
4 2
 
3.2%
1 2
 
3.2%
. 2
 
3.2%
7 1
 
1.6%
3 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
64.3%
ASCII 112
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
31.2%
E 8
 
7.1%
( 8
 
7.1%
) 8
 
7.1%
L 7
 
6.2%
O 6
 
5.4%
T 4
 
3.6%
H 4
 
3.6%
2 4
 
3.6%
I 3
 
2.7%
Other values (16) 25
22.3%
Hangul
ValueCountFrequency (%)
텔 24
 
11.9%
호 23
 
11.4%
스 10
 
5.0%
서 8
 
4.0%
관 6
 
3.0%
광 6
 
3.0%
더 5
 
2.5%
레 5
 
2.5%
이 5
 
2.5%
피 5
 
2.5%
Other values (59) 105
52.0%

최종수정일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2007-10-01 16:33:53
Maximum2024-05-02 17:28:40
2024-05-11T02:54:15.188373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:54:15.768749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
U
21 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 21
75.0%
I 7
 
25.0%

Length

2024-05-11T02:54:16.222695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:16.623720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
75.0%
i 7
 
25.0%

데이터갱신일자
Date

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T02:54:17.001348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:54:17.505355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209147.54
Minimum207106.03
Maximum210868.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:17.911307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207106.03
5-th percentile207133.71
Q1208522.64
median209455.68
Q3209966.12
95-th percentile210789.6
Maximum210868.4
Range3762.3653
Interquartile range (IQR)1443.4826

Descriptive statistics

Standard deviation1167.6281
Coefficient of variation (CV)0.0055827964
Kurtosis-0.78661796
Mean209147.54
Median Absolute Deviation (MAD)818.93587
Skewness-0.45146207
Sum5856131.1
Variance1363355.5
MonotonicityNot monotonic
2024-05-11T02:54:18.434449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
209338.128679752 2
 
7.1%
209966.124550614 2
 
7.1%
208589.363343145 1
 
3.6%
209681.364622247 1
 
3.6%
210857.025715606 1
 
3.6%
209577.225059646 1
 
3.6%
209573.227434185 1
 
3.6%
210664.369854452 1
 
3.6%
207163.343016332 1
 
3.6%
207125.820825269 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
207106.032236098 1
3.6%
207125.820825269 1
3.6%
207148.374688088 1
3.6%
207163.343016332 1
3.6%
207714.534207806 1
3.6%
207835.820419818 1
3.6%
208426.169119403 1
3.6%
208554.799609279 1
3.6%
208589.363343145 1
3.6%
208684.121024333 1
3.6%
ValueCountFrequency (%)
210868.397496689 1
3.6%
210857.025715606 1
3.6%
210664.369854452 1
3.6%
210463.282485743 1
3.6%
210429.157119053 1
3.6%
209996.0 1
3.6%
209966.124550614 2
7.1%
209906.809944076 1
3.6%
209681.364622247 1
3.6%
209635.621974575 1
3.6%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445019.99
Minimum442053.23
Maximum446059.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:18.935038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442053.23
5-th percentile442931.73
Q1444538.75
median445426.02
Q3445908.76
95-th percentile446050.95
Maximum446059.61
Range4006.386
Interquartile range (IQR)1370.0098

Descriptive statistics

Standard deviation1070.6203
Coefficient of variation (CV)0.0024057802
Kurtosis1.2295507
Mean445019.99
Median Absolute Deviation (MAD)526.39467
Skewness-1.3122866
Sum12460560
Variance1146227.8
MonotonicityNot monotonic
2024-05-11T02:54:19.604717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
445745.524217446 2
 
7.1%
446059.613892034 2
 
7.1%
445455.90405262 1
 
3.6%
445914.984531881 1
 
3.6%
442611.394350958 1
 
3.6%
445907.610176751 1
 
3.6%
445919.352243106 1
 
3.6%
443861.184407649 1
 
3.6%
445433.784924234 1
 
3.6%
445419.558960012 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
442053.227933005 1
3.6%
442611.394350958 1
3.6%
443526.648866499 1
3.6%
443549.893536475 1
3.6%
443861.184407649 1
3.6%
444386.042979275 1
3.6%
444447.682227261 1
3.6%
444569.108630582 1
3.6%
444749.931404748 1
3.6%
444868.79542744 1
3.6%
ValueCountFrequency (%)
446059.613892034 2
7.1%
446034.863019263 1
3.6%
445952.865 1
3.6%
445919.352243106 1
3.6%
445914.984531881 1
3.6%
445912.216884712 1
3.6%
445907.610176751 1
3.6%
445745.524217446 2
7.1%
445657.80932984 1
3.6%
445455.90405262 1
3.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
관광숙박업
18 
<NA>
10 

Length

Max length5
Median length5
Mean length4.6428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 18
64.3%
<NA> 10
35.7%

Length

2024-05-11T02:54:20.249626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:20.830271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 18
64.3%
na 10
35.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
25 
관광사업
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
89.3%
관광사업 3
 
10.7%

Length

2024-05-11T02:54:21.195474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:21.572128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
89.3%
관광사업 3
 
10.7%

지역구분명
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
18 
일반상업지역
6 
상업지역
2 
일반주거지역
2 

Length

Max length6
Median length4
Mean length4.5714286
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> 18
64.3%
일반상업지역 6
 
21.4%
상업지역 2
 
7.1%
일반주거지역 2
 
7.1%

Length

2024-05-11T02:54:22.032406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:22.560181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
64.3%
일반상업지역 6
 
21.4%
상업지역 2
 
7.1%
일반주거지역 2
 
7.1%

총층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing12
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean15.6875
Minimum6
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:22.914981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q19.75
median11.5
Q318.25
95-th percentile37
Maximum37
Range31
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.6658764
Coefficient of variation (CV)0.61615148
Kurtosis1.3414286
Mean15.6875
Median Absolute Deviation (MAD)4
Skewness1.4301477
Sum251
Variance93.429167
MonotonicityNot monotonic
2024-05-11T02:54:23.331276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11 2
 
7.1%
10 2
 
7.1%
18 2
 
7.1%
9 2
 
7.1%
6 2
 
7.1%
37 2
 
7.1%
19 1
 
3.6%
12 1
 
3.6%
24 1
 
3.6%
14 1
 
3.6%
(Missing) 12
42.9%
ValueCountFrequency (%)
6 2
7.1%
9 2
7.1%
10 2
7.1%
11 2
7.1%
12 1
3.6%
14 1
3.6%
18 2
7.1%
19 1
3.6%
24 1
3.6%
37 2
7.1%
ValueCountFrequency (%)
37 2
7.1%
24 1
3.6%
19 1
3.6%
18 2
7.1%
14 1
3.6%
12 1
3.6%
11 2
7.1%
10 2
7.1%
9 2
7.1%
6 2
7.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing23
Missing (%)82.1%
Memory size356.0 B
2024-05-11T02:54:23.747137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.2
Min length5

Characters and Unicode

Total characters31
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row아파트지역
2nd row주택가주변
3rd row유흥업소밀집지역
4th row주택가주변
5th row유흥업소밀집지역
ValueCountFrequency (%)
주택가주변 2
40.0%
유흥업소밀집지역 2
40.0%
아파트지역 1
20.0%
2024-05-11T02:54:24.878286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
12.9%
지 3
9.7%
역 3
9.7%
택 2
 
6.5%
가 2
 
6.5%
변 2
 
6.5%
유 2
 
6.5%
흥 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
Other values (5) 7
22.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
12.9%
지 3
9.7%
역 3
9.7%
택 2
 
6.5%
가 2
 
6.5%
변 2
 
6.5%
유 2
 
6.5%
흥 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
Other values (5) 7
22.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
12.9%
지 3
9.7%
역 3
9.7%
택 2
 
6.5%
가 2
 
6.5%
변 2
 
6.5%
유 2
 
6.5%
흥 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
Other values (5) 7
22.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
12.9%
지 3
9.7%
역 3
9.7%
택 2
 
6.5%
가 2
 
6.5%
변 2
 
6.5%
유 2
 
6.5%
흥 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
Other values (5) 7
22.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

건물용도명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
21 
숙박시설
5 
호텔
 
2

Length

Max length4
Median length4
Mean length3.8571429
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> 21
75.0%
숙박시설 5
 
17.9%
호텔 2
 
7.1%

Length

2024-05-11T02:54:25.368208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:25.817984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
75.0%
숙박시설 5
 
17.9%
호텔 2
 
7.1%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing12
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean12.875
Minimum5
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:26.152911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q17
median9.5
Q314.5
95-th percentile32
Maximum32
Range27
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation8.4842992
Coefficient of variation (CV)0.6589747
Kurtosis1.7090743
Mean12.875
Median Absolute Deviation (MAD)4
Skewness1.5413218
Sum206
Variance71.983333
MonotonicityNot monotonic
2024-05-11T02:54:26.537216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 3
 
10.7%
8 2
 
7.1%
14 2
 
7.1%
5 2
 
7.1%
32 2
 
7.1%
10 1
 
3.6%
9 1
 
3.6%
19 1
 
3.6%
13 1
 
3.6%
16 1
 
3.6%
(Missing) 12
42.9%
ValueCountFrequency (%)
5 2
7.1%
7 3
10.7%
8 2
7.1%
9 1
 
3.6%
10 1
 
3.6%
13 1
 
3.6%
14 2
7.1%
16 1
 
3.6%
19 1
 
3.6%
32 2
7.1%
ValueCountFrequency (%)
32 2
7.1%
19 1
 
3.6%
16 1
 
3.6%
14 2
7.1%
13 1
 
3.6%
10 1
 
3.6%
9 1
 
3.6%
8 2
7.1%
7 3
10.7%
5 2
7.1%

지하층수
Categorical

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
12 
1
6 
5
5 
3
2 
2
2 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
42.9%
1 6
21.4%
5 5
17.9%
3 2
 
7.1%
2 2
 
7.1%
4 1
 
3.6%

Length

2024-05-11T02:54:26.953982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:27.351015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
42.9%
1 6
21.4%
5 5
17.9%
3 2
 
7.1%
2 2
 
7.1%
4 1
 
3.6%

객실수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing13
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean112.53333
Minimum20
Maximum472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:28.022003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile26.3
Q145.5
median63
Q382
95-th percentile423.7
Maximum472
Range452
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation136.49012
Coefficient of variation (CV)1.2128861
Kurtosis3.8468075
Mean112.53333
Median Absolute Deviation (MAD)20
Skewness2.2014981
Sum1688
Variance18629.552
MonotonicityNot monotonic
2024-05-11T02:54:28.566046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
71 2
 
7.1%
52 1
 
3.6%
83 1
 
3.6%
81 1
 
3.6%
40 1
 
3.6%
51 1
 
3.6%
20 1
 
3.6%
39 1
 
3.6%
472 1
 
3.6%
53 1
 
3.6%
Other values (4) 4
 
14.3%
(Missing) 13
46.4%
ValueCountFrequency (%)
20 1
3.6%
29 1
3.6%
39 1
3.6%
40 1
3.6%
51 1
3.6%
52 1
3.6%
53 1
3.6%
63 1
3.6%
71 2
7.1%
81 1
3.6%
ValueCountFrequency (%)
472 1
3.6%
403 1
3.6%
160 1
3.6%
83 1
3.6%
81 1
3.6%
71 2
7.1%
63 1
3.6%
53 1
3.6%
52 1
3.6%
51 1
3.6%

건축연면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing17
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean22300.455
Minimum559
Maximum97496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:29.100634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile1011
Q12257.5
median4838
Q314605
95-th percentile97496
Maximum97496
Range96937
Interquartile range (IQR)12347.5

Descriptive statistics

Standard deviation37639.359
Coefficient of variation (CV)1.6878292
Kurtosis1.7716956
Mean22300.455
Median Absolute Deviation (MAD)2672
Skewness1.823087
Sum245305
Variance1.4167214 × 109
MonotonicityNot monotonic
2024-05-11T02:54:29.500566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
97496 2
 
7.1%
4838 1
 
3.6%
4486 1
 
3.6%
6976 1
 
3.6%
5242 1
 
3.6%
1463 1
 
3.6%
2349 1
 
3.6%
559 1
 
3.6%
2166 1
 
3.6%
22234 1
 
3.6%
(Missing) 17
60.7%
ValueCountFrequency (%)
559 1
3.6%
1463 1
3.6%
2166 1
3.6%
2349 1
3.6%
4486 1
3.6%
4838 1
3.6%
5242 1
3.6%
6976 1
3.6%
22234 1
3.6%
97496 2
7.1%
ValueCountFrequency (%)
97496 2
7.1%
22234 1
3.6%
6976 1
3.6%
5242 1
3.6%
4838 1
3.6%
4486 1
3.6%
2349 1
3.6%
2166 1
3.6%
1463 1
3.6%
559 1
3.6%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing26
Missing (%)92.9%
Memory size356.0 B
2024-05-11T02:54:29.834812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length75.5
Mean length75.5
Min length75

Characters and Unicode

Total characters151
Distinct characters35
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowSofitel Ambassador Seoul Hotel & Serviced Residences(FAMILY HOTEL BUSINESS)
2nd rowSofitel Ambassador Seoul Hotel & Serviced Residences(Tourist Hotel Business)
ValueCountFrequency (%)
hotel 4
22.2%
sofitel 2
11.1%
ambassador 2
11.1%
seoul 2
11.1%
2
11.1%
serviced 2
11.1%
business 2
11.1%
residences(family 1
 
5.6%
residences(tourist 1
 
5.6%
2024-05-11T02:54:30.672504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 18
 
11.9%
16
 
10.6%
s 12
 
7.9%
o 10
 
6.6%
S 9
 
6.0%
i 8
 
5.3%
l 7
 
4.6%
d 6
 
4.0%
t 6
 
4.0%
r 5
 
3.3%
Other values (25) 54
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 95
62.9%
Uppercase Letter 34
 
22.5%
Space Separator 16
 
10.6%
Open Punctuation 2
 
1.3%
Other Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 18
18.9%
s 12
12.6%
o 10
10.5%
i 8
8.4%
l 7
 
7.4%
d 6
 
6.3%
t 6
 
6.3%
r 5
 
5.3%
c 4
 
4.2%
u 4
 
4.2%
Other values (6) 15
15.8%
Uppercase Letter
ValueCountFrequency (%)
S 9
26.5%
H 4
11.8%
A 3
 
8.8%
T 2
 
5.9%
E 2
 
5.9%
L 2
 
5.9%
B 2
 
5.9%
I 2
 
5.9%
R 2
 
5.9%
F 1
 
2.9%
Other values (5) 5
14.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 129
85.4%
Common 22
 
14.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 18
14.0%
s 12
 
9.3%
o 10
 
7.8%
S 9
 
7.0%
i 8
 
6.2%
l 7
 
5.4%
d 6
 
4.7%
t 6
 
4.7%
r 5
 
3.9%
c 4
 
3.1%
Other values (21) 44
34.1%
Common
ValueCountFrequency (%)
16
72.7%
( 2
 
9.1%
& 2
 
9.1%
) 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 18
 
11.9%
16
 
10.6%
s 12
 
7.9%
o 10
 
6.6%
S 9
 
6.0%
i 8
 
5.3%
l 7
 
4.6%
d 6
 
4.0%
t 6
 
4.0%
r 5
 
3.3%
Other values (25) 54
35.8%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing26
Missing (%)92.9%
Memory size356.0 B
2024-05-11T02:54:31.063631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length21.5
Min length21

Characters and Unicode

Total characters43
Distinct characters16
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowFAMILY HOTEL BUSINESS
2nd rowTOURIST HOTEL BUSINESS
ValueCountFrequency (%)
hotel 2
33.3%
business 2
33.3%
family 1
16.7%
tourist 1
16.7%
2024-05-11T02:54:31.890887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 7
16.3%
I 4
9.3%
4
9.3%
T 4
9.3%
E 4
9.3%
L 3
7.0%
O 3
7.0%
U 3
7.0%
H 2
 
4.7%
B 2
 
4.7%
Other values (6) 7
16.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 39
90.7%
Space Separator 4
 
9.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 7
17.9%
I 4
10.3%
T 4
10.3%
E 4
10.3%
L 3
7.7%
O 3
7.7%
U 3
7.7%
H 2
 
5.1%
B 2
 
5.1%
N 2
 
5.1%
Other values (5) 5
12.8%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 39
90.7%
Common 4
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 7
17.9%
I 4
10.3%
T 4
10.3%
E 4
10.3%
L 3
7.7%
O 3
7.7%
U 3
7.7%
H 2
 
5.1%
B 2
 
5.1%
N 2
 
5.1%
Other values (5) 5
12.8%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 7
16.3%
I 4
9.3%
4
9.3%
T 4
9.3%
E 4
9.3%
L 3
7.0%
O 3
7.0%
U 3
7.0%
H 2
 
4.7%
B 2
 
4.7%
Other values (6) 7
16.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:32.339082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:32.680067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:33.132538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:33.576617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:34.066584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:34.437321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:34.846942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:35.175875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:35.514265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:35.944486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

시설면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing12
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean13394.263
Minimum559
Maximum74200.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:36.295552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile868
Q12122.9325
median3833.26
Q36725.095
95-th percentile74200.51
Maximum74200.51
Range73641.51
Interquartile range (IQR)4602.1625

Descriptive statistics

Standard deviation24268.83
Coefficient of variation (CV)1.8118824
Kurtosis4.1925128
Mean13394.263
Median Absolute Deviation (MAD)2104.725
Skewness2.3222441
Sum214308.21
Variance5.8897609 × 108
MonotonicityNot monotonic
2024-05-11T02:54:36.799655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
74200.51 2
 
7.1%
4838.25 1
 
3.6%
6641.46 1
 
3.6%
4485.52 1
 
3.6%
6976.0 1
 
3.6%
5242.13 1
 
3.6%
1463.34 1
 
3.6%
2349.0 1
 
3.6%
3181.0 1
 
3.6%
559.0 1
 
3.6%
Other values (5) 5
17.9%
(Missing) 12
42.9%
ValueCountFrequency (%)
559.0 1
3.6%
971.0 1
3.6%
1463.34 1
3.6%
1993.73 1
3.6%
2166.0 1
3.6%
2349.0 1
3.6%
2806.76 1
3.6%
3181.0 1
3.6%
4485.52 1
3.6%
4838.25 1
3.6%
ValueCountFrequency (%)
74200.51 2
7.1%
22234.0 1
3.6%
6976.0 1
3.6%
6641.46 1
3.6%
5242.13 1
3.6%
4838.25 1
3.6%
4485.52 1
3.6%
3181.0 1
3.6%
2806.76 1
3.6%
2349.0 1
3.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T02:54:37.298040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:37.610077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

자본금
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing20
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean3.3199 × 1010
Minimum1 × 109
Maximum7.92 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:37.898310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 109
5-th percentile3.695 × 109
Q11.5669 × 1010
median2.175 × 1010
Q34.68 × 1010
95-th percentile7.92 × 1010
Maximum7.92 × 1010
Range7.82 × 1010
Interquartile range (IQR)3.1131 × 1010

Descriptive statistics

Standard deviation3.0217174 × 1010
Coefficient of variation (CV)0.91018326
Kurtosis-0.58377472
Mean3.3199 × 1010
Median Absolute Deviation (MAD)1.365 × 1010
Skewness0.96220059
Sum2.65592 × 1011
Variance9.1307761 × 1020
MonotonicityNot monotonic
2024-05-11T02:54:38.367590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
79200000000 2
 
7.1%
17992000000 1
 
3.6%
8700000000 1
 
3.6%
18500000000 1
 
3.6%
1000000000 1
 
3.6%
25000000000 1
 
3.6%
36000000000 1
 
3.6%
(Missing) 20
71.4%
ValueCountFrequency (%)
1000000000 1
3.6%
8700000000 1
3.6%
17992000000 1
3.6%
18500000000 1
3.6%
25000000000 1
3.6%
36000000000 1
3.6%
79200000000 2
7.1%
ValueCountFrequency (%)
79200000000 2
7.1%
36000000000 1
3.6%
25000000000 1
3.6%
18500000000 1
3.6%
17992000000 1
3.6%
8700000000 1
3.6%
1000000000 1
3.6%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing12
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean13394.312
Minimum559
Maximum74201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T02:54:38.832756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile868
Q12123
median3833.5
Q36724.75
95-th percentile74201
Maximum74201
Range73642
Interquartile range (IQR)4601.75

Descriptive statistics

Standard deviation24268.994
Coefficient of variation (CV)1.811888
Kurtosis4.1925263
Mean13394.312
Median Absolute Deviation (MAD)2105
Skewness2.3222478
Sum214309
Variance5.8898409 × 108
MonotonicityNot monotonic
2024-05-11T02:54:39.244940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
74201 2
 
7.1%
4838 1
 
3.6%
6641 1
 
3.6%
4486 1
 
3.6%
6976 1
 
3.6%
5242 1
 
3.6%
1463 1
 
3.6%
2349 1
 
3.6%
3181 1
 
3.6%
559 1
 
3.6%
Other values (5) 5
17.9%
(Missing) 12
42.9%
ValueCountFrequency (%)
559 1
3.6%
971 1
3.6%
1463 1
3.6%
1994 1
3.6%
2166 1
3.6%
2349 1
3.6%
2807 1
3.6%
3181 1
3.6%
4486 1
3.6%
4838 1
3.6%
ValueCountFrequency (%)
74201 2
7.1%
22234 1
3.6%
6976 1
3.6%
6641 1
3.6%
5242 1
3.6%
4838 1
3.6%
4486 1
3.6%
3181 1
3.6%
2807 1
3.6%
2349 1
3.6%

관광숙박업상세명
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
13 
관광호텔업
12 
소형호텔업
2 
가족호텔업
 
1

Length

Max length5
Median length5
Mean length4.5357143
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
46.4%
관광호텔업 12
42.9%
소형호텔업 2
 
7.1%
가족호텔업 1
 
3.6%

Length

2024-05-11T02:54:39.744898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:54:40.196231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
46.4%
관광호텔업 12
42.9%
소형호텔업 2
 
7.1%
가족호텔업 1
 
3.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03230000CDFI22600319860000011986-10-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-419-7000<NA>138-220서울특별시 송파구 잠실동 40-1서울특별시 송파구 올림픽로 240 (잠실동)5554호텔롯데 롯데호텔월드2023-09-20 10:15:38U2022-12-08 22:02:00.0<NA>208589.363343445455.904053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFI22600319950000011995-10-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-421-2761<NA><NA>서울특별시 송파구 잠실동 250-9서울특별시 송파구 삼전로 67 (잠실동, 잠실관광호텔)5567잠실스테이2023-02-17 10:26:36U2022-12-01 23:09:00.0<NA>207714.534208444749.931405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFI226003199700000119971001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-6641<NA><NA>서울특별시 송파구 가락동 98-5번지서울특별시 송파구 송파대로28길 5 (가락동, 가락관광호텔)5719가락관광호텔2020-02-14 15:49:35U2020-02-16 02:40:00.0<NA>210429.157119443526.648866관광숙박업관광사업<NA>11<NA><NA><NA><NA>83714838<NA><NA><NA><NA><NA><NA><NA><NA><NA>4838.25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4838관광호텔업
33230000CDFI226003200200000120020816<NA>3폐업3폐업20070921<NA><NA><NA><NA><NA>138842서울특별시 송파구 석촌동 24번지<NA><NA>HOTEL BELUGA2007-10-01 16:33:53I2018-08-31 23:59:59.0<NA>208684.121024444900.075661관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFI226003200300000120030422<NA>3폐업3폐업20080701<NA><NA><NA>421-2131<NA>138827서울특별시 송파구 방이동 44-5번지서울특별시 송파구 위례성대로 10 (방이동)<NA>올림피아나 관광호텔2008-07-02 18:47:30I2018-08-31 23:59:59.0<NA>209966.124551446059.613892관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFI22600320040000012004-01-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-422-1001<NA><NA>서울특별시 송파구 석촌동 158서울특별시 송파구 석촌호수로 216 (석촌동, 호텔 레이크)5610레이크호텔2024-01-16 14:29:11U2023-11-30 23:08:00.0<NA>208851.639894444965.423277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFI22600320040000022004-01-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-401-4653<NA><NA>서울특별시 송파구 가락동 98-6서울특별시 송파구 송파대로28길 11 (가락동, 캘리포니아관광호텔)5719캘리포니아호텔2024-01-16 14:02:08U2023-11-30 23:08:00.0<NA>210463.282486443549.893536<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFI226003200900000120090903<NA>3폐업3폐업20091231<NA><NA><NA>02-421-2131<NA>138827서울특별시 송파구 방이동 44-5번지서울특별시 송파구 위례성대로 10 (방이동)<NA>올림피아나관광호텔2010-01-12 10:45:17I2018-08-31 23:59:59.0<NA>209966.124551446059.613892관광숙박업<NA>일반상업지역10<NA><NA><NA><NA>73<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6641.46<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6641<NA>
83230000CDFI226003201200000120121211<NA>1영업/정상13영업중<NA><NA><NA><NA>02-417-2700<NA><NA>서울특별시 송파구 잠실동 180번지서울특별시 송파구 올림픽로10길 5 (잠실동, 파로스관광호텔)5557(주)파로스 관광호텔2020-02-14 15:51:59U2020-02-16 02:40:00.0<NA>207106.032236445432.484078관광숙박업<NA>상업지역19아파트지역<NA><NA>숙박시설145524486<NA><NA><NA><NA><NA><NA><NA><NA><NA>4485.52<NA><NA><NA><NA><NA><NA><NA><NA>17992000000<NA><NA><NA>4486관광호텔업
93230000CDFI226003201300000120130422<NA>3폐업3폐업20201124<NA><NA><NA>02-3432-4671<NA>138828서울특별시 송파구 방이동 46-6서울특별시 송파구 백제고분로51길 23 (방이동)5544필름 37.22020-11-24 13:56:22U2020-11-26 02:40:00.0<NA>209906.809944446034.863019관광숙박업<NA>일반상업지역12<NA><NA><NA><NA>75836976<NA><NA><NA><NA><NA><NA><NA><NA><NA>6976.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6976관광호텔업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
183230000CDFI226003201700000220170523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-2900<NA><NA>서울특별시 송파구 문정동 618번지서울특별시 송파구 송파대로 111 (문정동, 파크하비오)5837호텔 파크하비오2018-07-10 11:32:05I2018-08-31 23:59:59.0<NA>210868.397497442053.227933관광숙박업<NA><NA>24<NA><NA><NA><NA>19547222234<NA><NA><NA><NA><NA><NA><NA><NA><NA>22234.0<NA><NA><NA><NA><NA><NA><NA><NA>36000000000<NA><NA><NA>22234관광호텔업
193230000CDFI226003201700000320171229<NA>1영업/정상13영업중<NA><NA><NA><NA>02-417-6660<NA><NA>서울특별시 송파구 잠실동 180-7서울특별시 송파구 백제고분로7길 23-6 (잠실동)5557호텔포레스타1호점2022-05-23 11:52:40U2021-12-04 22:05:00.0<NA>207148.374688445418.562121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203230000CDFI226003201800000120180813<NA>1영업/정상13영업중<NA><NA><NA><NA>02-419-9990<NA><NA>서울특별시 송파구 잠실동 180-3번지서울특별시 송파구 백제고분로7길 23-5 (잠실동)5557포레스타2020-02-14 17:22:28U2020-02-16 02:40:00.0<NA>207125.820825445419.55896관광숙박업<NA>일반상업지역14유흥업소밀집지역<NA><NA>숙박시설13153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1993.73<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1994관광호텔업
213230000CDFI22600320190000012019-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-423-4300<NA><NA>서울특별시 송파구 잠실동 180-10서울특별시 송파구 올림픽로12길 4-17 (잠실동)5557호텔 더 캐슬(신천)2024-05-02 17:28:40U2023-12-05 00:04:00.0<NA>207163.343016445433.784924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223230000CDFI226003201900000220191210<NA>1영업/정상13영업중<NA><NA><NA><NA>02-409-5919<NA><NA>서울특별시 송파구 가락동 73-1번지 관광호텔서울특별시 송파구 송이로 104, 관광호텔 (가락동)5713부티크 호텔 XYM2020-02-14 10:07:45U2020-02-16 02:40:00.0<NA>210664.369854443861.184408관광숙박업<NA>일반주거지역9주택가주변<NA><NA>호텔7229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>971.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>971소형호텔업
233230000CDFI226003202000000120200102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-412-2601<NA><NA>서울특별시 송파구 방이동 36-16번지 호텔 더 캐슬서울특별시 송파구 올림픽로32길 7, 호텔 더 캐슬 (방이동)5543호텔 더 캐슬(방이1)2020-02-14 17:28:41U2020-02-16 02:40:00.0<NA>209573.227434445919.352243관광숙박업<NA>일반상업지역18유흥업소밀집지역<NA><NA>숙박시설16263<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2806.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2807관광호텔업
243230000CDFI226003202100000120210622<NA>1영업/정상13영업중<NA><NA><NA><NA>02-412-2220<NA><NA>서울특별시 송파구 방이동 36-2서울특별시 송파구 올림픽로32길 7-1 (방이동)5543호텔 더 캐슬(방이2)2022-07-18 09:49:10U2021-12-06 22:00:00.0<NA>209577.22506445907.610177<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253230000CDFI226003202100000220210929<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2040-3188<NA><NA>서울특별시 송파구 신천동 29-1 KT송파타워서울특별시 송파구 잠실로 209, KT송파타워 (신천동)5552소피텔 앰배서더 서울 호텔 앤 서비스드 레지던스(가족호텔)2021-09-29 15:48:03I2021-10-01 00:22:48.0<NA>209338.12868445745.524217관광숙박업<NA>일반상업지역37<NA><NA><NA>숙박시설32516097496Sofitel Ambassador Seoul Hotel & Serviced Residences(FAMILY HOTEL BUSINESS)FAMILY HOTEL BUSINESS00<NA>00<NA>074200.51<NA>0<NA><NA><NA><NA><NA><NA>79200000000<NA><NA><NA>74201가족호텔업
263230000CDFI226003202100000320210929<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2092-6000<NA><NA>서울특별시 송파구 신천동 29-1 KT송파타워서울특별시 송파구 잠실로 209, KT송파타워 (신천동)5552소피텔 앰배서더 서울 호텔 앤 서비스드 레지던스(관광호텔)2021-09-29 15:30:51I2021-10-01 00:22:48.0<NA>209338.12868445745.524217관광숙박업<NA>일반상업지역37<NA><NA><NA>숙박시설32540397496Sofitel Ambassador Seoul Hotel & Serviced Residences(Tourist Hotel Business)TOURIST HOTEL BUSINESS00<NA>00<NA>074200.51<NA>0<NA><NA><NA><NA><NA><NA>79200000000<NA><NA><NA>74201관광호텔업
273230000CDFI22600320230000012023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-408-9230<NA><NA>서울특별시 송파구 문정동 61-15 메리제인호텔서울특별시 송파구 송파대로20길 6 (문정동, 메리제인호텔)5807메리제인호텔2024-02-23 11:26:29U2023-12-01 22:05:00.0<NA>210857.025716442611.394351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>