Overview

Dataset statistics

Number of variables60
Number of observations143
Missing cells3982
Missing cells (%)46.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.7 KiB
Average record size in memory520.9 B

Variable types

Categorical20
Text10
DateTime4
Unsupported20
Numeric6

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17180/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
영업상태코드 is highly imbalanced (53.9%)Imbalance
영업상태명 is highly imbalanced (53.9%)Imbalance
상세영업상태코드 is highly imbalanced (53.9%)Imbalance
상세영업상태명 is highly imbalanced (53.9%)Imbalance
문화사업자구분명 is highly imbalanced (56.1%)Imbalance
총층수 is highly imbalanced (63.4%)Imbalance
지상층수 is highly imbalanced (73.2%)Imbalance
지하층수 is highly imbalanced (63.4%)Imbalance
객실수 is highly imbalanced (63.4%)Imbalance
건축연면적 is highly imbalanced (63.4%)Imbalance
영문상호주소 is highly imbalanced (54.0%)Imbalance
선박총톤수 is highly imbalanced (63.4%)Imbalance
선박척수 is highly imbalanced (63.4%)Imbalance
무대면적 is highly imbalanced (63.4%)Imbalance
좌석수 is highly imbalanced (63.4%)Imbalance
회의실별동시수용인원 is highly imbalanced (63.4%)Imbalance
놀이시설수 is highly imbalanced (63.4%)Imbalance
인허가취소일자 has 143 (100.0%) missing valuesMissing
폐업일자 has 117 (81.8%) missing valuesMissing
휴업시작일자 has 143 (100.0%) missing valuesMissing
휴업종료일자 has 143 (100.0%) missing valuesMissing
재개업일자 has 143 (100.0%) missing valuesMissing
전화번호 has 33 (23.1%) missing valuesMissing
소재지면적 has 143 (100.0%) missing valuesMissing
소재지우편번호 has 113 (79.0%) missing valuesMissing
도로명우편번호 has 4 (2.8%) missing valuesMissing
업태구분명 has 143 (100.0%) missing valuesMissing
지역구분명 has 141 (98.6%) missing valuesMissing
주변환경명 has 141 (98.6%) missing valuesMissing
제작취급품목내용 has 143 (100.0%) missing valuesMissing
보험기관명 has 143 (100.0%) missing valuesMissing
건물용도명 has 137 (95.8%) missing valuesMissing
영문상호명 has 117 (81.8%) missing valuesMissing
선박제원 has 143 (100.0%) missing valuesMissing
기념품종류 has 143 (100.0%) missing valuesMissing
시설면적 has 119 (83.2%) missing valuesMissing
놀이기구수내역 has 143 (100.0%) missing valuesMissing
방송시설유무 has 143 (100.0%) missing valuesMissing
발전시설유무 has 143 (100.0%) missing valuesMissing
의무실유무 has 143 (100.0%) missing valuesMissing
안내소유무 has 143 (100.0%) missing valuesMissing
기획여행보험시작일자 has 143 (100.0%) missing valuesMissing
기획여행보험종료일자 has 143 (100.0%) missing valuesMissing
자본금 has 78 (54.5%) missing valuesMissing
보험시작일자 has 143 (100.0%) missing valuesMissing
보험종료일자 has 143 (100.0%) missing valuesMissing
부대시설내역 has 143 (100.0%) missing valuesMissing
시설규모 has 119 (83.2%) missing valuesMissing
관리번호 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
시설면적 has 10 (7.0%) zerosZeros
자본금 has 3 (2.1%) zerosZeros
시설규모 has 10 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-21 17:14:38.085362
Analysis finished2024-04-21 17:14:39.436224
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3130000
143 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 143
100.0%

Length

2024-04-22T02:14:39.631369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:39.940446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 143
100.0%

관리번호
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T02:14:40.611896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2860
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

Unique143 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101998000001
2nd rowCDFI2263102001000001
3rd rowCDFI2263102001000002
4th rowCDFI2263102001000003
5th rowCDFI2263102002000001
ValueCountFrequency (%)
cdfi2263101998000001 1
 
0.7%
cdfi2263102020000003 1
 
0.7%
cdfi2263102020000005 1
 
0.7%
cdfi2263102020000006 1
 
0.7%
cdfi2263102020000007 1
 
0.7%
cdfi2263102020000008 1
 
0.7%
cdfi2263102020000010 1
 
0.7%
cdfi2263102020000011 1
 
0.7%
cdfi2263102020000004 1
 
0.7%
cdfi2263102021000006 1
 
0.7%
Other values (133) 133
93.0%
2024-04-22T02:14:41.743448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1005
35.1%
2 523
18.3%
1 285
 
10.0%
3 188
 
6.6%
6 170
 
5.9%
C 143
 
5.0%
D 143
 
5.0%
F 143
 
5.0%
I 143
 
5.0%
9 31
 
1.1%
Other values (4) 86
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2288
80.0%
Uppercase Letter 572
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
43.9%
2 523
22.9%
1 285
 
12.5%
3 188
 
8.2%
6 170
 
7.4%
9 31
 
1.4%
8 23
 
1.0%
4 23
 
1.0%
7 21
 
0.9%
5 19
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 143
25.0%
D 143
25.0%
F 143
25.0%
I 143
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2288
80.0%
Latin 572
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1005
43.9%
2 523
22.9%
1 285
 
12.5%
3 188
 
8.2%
6 170
 
7.4%
9 31
 
1.4%
8 23
 
1.0%
4 23
 
1.0%
7 21
 
0.9%
5 19
 
0.8%
Latin
ValueCountFrequency (%)
C 143
25.0%
D 143
25.0%
F 143
25.0%
I 143
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1005
35.1%
2 523
18.3%
1 285
 
10.0%
3 188
 
6.6%
6 170
 
5.9%
C 143
 
5.0%
D 143
 
5.0%
F 143
 
5.0%
I 143
 
5.0%
9 31
 
1.1%
Other values (4) 86
 
3.0%

인허가일자
Date

Distinct141
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1998-11-16 00:00:00
Maximum2024-03-18 00:00:00
2024-04-22T02:14:42.144563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T02:14:42.587491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
117 
5
13 
3
 
11
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 117
81.8%
5 13
 
9.1%
3 11
 
7.7%
4 2
 
1.4%

Length

2024-04-22T02:14:43.019606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:43.342659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 117
81.8%
5 13
 
9.1%
3 11
 
7.7%
4 2
 
1.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
117 
제외/삭제/전출
13 
폐업
 
11
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length5.1678322
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 117
81.8%
제외/삭제/전출 13
 
9.1%
폐업 11
 
7.7%
취소/말소/만료/정지/중지 2
 
1.4%

Length

2024-04-22T02:14:43.720632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:44.056750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 117
81.8%
제외/삭제/전출 13
 
9.1%
폐업 11
 
7.7%
취소/말소/만료/정지/중지 2
 
1.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
117 
15
13 
3
 
11
35
 
2

Length

Max length2
Median length2
Mean length1.9230769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 117
81.8%
15 13
 
9.1%
3 11
 
7.7%
35 2
 
1.4%

Length

2024-04-22T02:14:44.432632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:44.762054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 117
81.8%
15 13
 
9.1%
3 11
 
7.7%
35 2
 
1.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
117 
전출
13 
폐업
 
11
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8461538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 117
81.8%
전출 13
 
9.1%
폐업 11
 
7.7%
직권말소 2
 
1.4%

Length

2024-04-22T02:14:45.156595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:45.510470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 117
81.8%
전출 13
 
9.1%
폐업 11
 
7.7%
직권말소 2
 
1.4%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)96.2%
Missing117
Missing (%)81.8%
Memory size1.2 KiB
Minimum2010-04-15 00:00:00
Maximum2024-04-04 00:00:00
2024-04-22T02:14:45.841369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T02:14:46.204500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct110
Distinct (%)100.0%
Missing33
Missing (%)23.1%
Memory size1.2 KiB
2024-04-22T02:14:47.175742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.4
Min length7

Characters and Unicode

Total characters1144
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row716-5553
2nd row707-1721
3rd row3142-1033
4th row332-5665
5th row711-2641
ValueCountFrequency (%)
02 3
 
2.6%
02-373-1005 1
 
0.9%
0231444957 1
 
0.9%
027014572 1
 
0.9%
02-2257-6388 1
 
0.9%
02-3143-5228 1
 
0.9%
07044165919 1
 
0.9%
02-735-3800 1
 
0.9%
0220386624 1
 
0.9%
027331399 1
 
0.9%
Other values (103) 103
89.6%
2024-04-22T02:14:48.312479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 185
16.2%
2 160
14.0%
- 145
12.7%
3 123
10.8%
7 95
8.3%
5 92
8.0%
1 80
7.0%
4 79
6.9%
6 64
 
5.6%
8 56
 
4.9%
Other values (3) 65
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 990
86.5%
Dash Punctuation 145
 
12.7%
Space Separator 8
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 185
18.7%
2 160
16.2%
3 123
12.4%
7 95
9.6%
5 92
9.3%
1 80
8.1%
4 79
8.0%
6 64
 
6.5%
8 56
 
5.7%
9 56
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 185
16.2%
2 160
14.0%
- 145
12.7%
3 123
10.8%
7 95
8.3%
5 92
8.0%
1 80
7.0%
4 79
6.9%
6 64
 
5.6%
8 56
 
4.9%
Other values (3) 65
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 185
16.2%
2 160
14.0%
- 145
12.7%
3 123
10.8%
7 95
8.3%
5 92
8.0%
1 80
7.0%
4 79
6.9%
6 64
 
5.6%
8 56
 
4.9%
Other values (3) 65
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Text

MISSING 

Distinct23
Distinct (%)76.7%
Missing113
Missing (%)79.0%
Memory size1.2 KiB
2024-04-22T02:14:48.877885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1
Min length6

Characters and Unicode

Total characters183
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

Unique17 ?
Unique (%)56.7%

Sample

1st row121736
2nd row121873
3rd row121817
4th row121899
5th row121050
ValueCountFrequency (%)
121904 3
 
10.0%
121817 2
 
6.7%
121846 2
 
6.7%
121893 2
 
6.7%
121718 2
 
6.7%
121736 2
 
6.7%
121912 1
 
3.3%
121-915 1
 
3.3%
121816 1
 
3.3%
121839 1
 
3.3%
Other values (13) 13
43.3%
2024-04-22T02:14:49.637014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 71
38.8%
2 33
18.0%
8 20
 
10.9%
9 13
 
7.1%
0 9
 
4.9%
4 9
 
4.9%
7 8
 
4.4%
6 8
 
4.4%
3 7
 
3.8%
- 3
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
98.4%
Dash Punctuation 3
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 71
39.4%
2 33
18.3%
8 20
 
11.1%
9 13
 
7.2%
0 9
 
5.0%
4 9
 
5.0%
7 8
 
4.4%
6 8
 
4.4%
3 7
 
3.9%
5 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 71
38.8%
2 33
18.0%
8 20
 
10.9%
9 13
 
7.1%
0 9
 
4.9%
4 9
 
4.9%
7 8
 
4.4%
6 8
 
4.4%
3 7
 
3.8%
- 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 71
38.8%
2 33
18.0%
8 20
 
10.9%
9 13
 
7.1%
0 9
 
4.9%
4 9
 
4.9%
7 8
 
4.4%
6 8
 
4.4%
3 7
 
3.8%
- 3
 
1.6%

지번주소
Text

Distinct136
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T02:14:50.577919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length25.916084
Min length17

Characters and Unicode

Total characters3706
Distinct characters200
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)90.9%

Sample

1st row서울특별시 마포구 마포동 136-1 한신빌딩 511호
2nd row서울특별시 마포구 염리동 155-13
3rd row서울특별시 마포구 동교동 165-8 1528호
4th row서울특별시 마포구 동교동 185-18 3층
5th row서울특별시 마포구 마포동 35-1 9층
ValueCountFrequency (%)
서울특별시 143
19.5%
마포구 143
19.5%
서교동 35
 
4.8%
상암동 25
 
3.4%
도화동 11
 
1.5%
성산동 9
 
1.2%
공덕동 9
 
1.2%
마포동 9
 
1.2%
동교동 9
 
1.2%
연남동 8
 
1.1%
Other values (256) 333
45.4%
2024-04-22T02:14:51.762465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
 
17.7%
서 183
 
4.9%
마 160
 
4.3%
포 159
 
4.3%
동 156
 
4.2%
1 151
 
4.1%
구 146
 
3.9%
시 145
 
3.9%
울 144
 
3.9%
별 143
 
3.9%
Other values (190) 1662
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2116
57.1%
Decimal Number 723
 
19.5%
Space Separator 657
 
17.7%
Dash Punctuation 106
 
2.9%
Uppercase Letter 84
 
2.3%
Other Punctuation 9
 
0.2%
Lowercase Letter 5
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 183
 
8.6%
마 160
 
7.6%
포 159
 
7.5%
동 156
 
7.4%
구 146
 
6.9%
시 145
 
6.9%
울 144
 
6.8%
별 143
 
6.8%
특 143
 
6.8%
교 45
 
2.1%
Other values (148) 692
32.7%
Uppercase Letter
ValueCountFrequency (%)
C 13
15.5%
S 10
11.9%
M 9
10.7%
D 9
10.7%
B 7
 
8.3%
E 5
 
6.0%
N 4
 
4.8%
R 3
 
3.6%
A 3
 
3.6%
P 3
 
3.6%
Other values (12) 18
21.4%
Decimal Number
ValueCountFrequency (%)
1 151
20.9%
3 99
13.7%
2 84
11.6%
5 80
11.1%
4 79
10.9%
0 58
 
8.0%
6 57
 
7.9%
7 43
 
5.9%
8 38
 
5.3%
9 34
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
t 2
40.0%
i 1
20.0%
y 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2114
57.0%
Common 1501
40.5%
Latin 89
 
2.4%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 183
 
8.7%
마 160
 
7.6%
포 159
 
7.5%
동 156
 
7.4%
구 146
 
6.9%
시 145
 
6.9%
울 144
 
6.8%
별 143
 
6.8%
특 143
 
6.8%
교 45
 
2.1%
Other values (146) 690
32.6%
Latin
ValueCountFrequency (%)
C 13
14.6%
S 10
11.2%
M 9
 
10.1%
D 9
 
10.1%
B 7
 
7.9%
E 5
 
5.6%
N 4
 
4.5%
R 3
 
3.4%
A 3
 
3.4%
P 3
 
3.4%
Other values (16) 23
25.8%
Common
ValueCountFrequency (%)
657
43.8%
1 151
 
10.1%
- 106
 
7.1%
3 99
 
6.6%
2 84
 
5.6%
5 80
 
5.3%
4 79
 
5.3%
0 58
 
3.9%
6 57
 
3.8%
7 43
 
2.9%
Other values (6) 87
 
5.8%
Han
ValueCountFrequency (%)
寶 1
50.0%
東 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2114
57.0%
ASCII 1590
42.9%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
41.3%
1 151
 
9.5%
- 106
 
6.7%
3 99
 
6.2%
2 84
 
5.3%
5 80
 
5.0%
4 79
 
5.0%
0 58
 
3.6%
6 57
 
3.6%
7 43
 
2.7%
Other values (32) 176
 
11.1%
Hangul
ValueCountFrequency (%)
서 183
 
8.7%
마 160
 
7.6%
포 159
 
7.5%
동 156
 
7.4%
구 146
 
6.9%
시 145
 
6.9%
울 144
 
6.8%
별 143
 
6.8%
특 143
 
6.8%
교 45
 
2.1%
Other values (146) 690
32.6%
CJK
ValueCountFrequency (%)
寶 1
50.0%
東 1
50.0%

도로명주소
Text

Distinct140
Distinct (%)98.6%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-04-22T02:14:52.664743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length34.816901
Min length23

Characters and Unicode

Total characters4944
Distinct characters224
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)97.2%

Sample

1st row서울특별시 마포구 마포대로 12, 511호 (마포동,한신빌딩)
2nd row서울특별시 마포구 백범로 124 (염리동)
3rd row서울특별시 마포구 양화로 156 (동교동,1528호)
4th row서울특별시 마포구 신촌로 60 (동교동,3층)
5th row서울특별시 마포구 마포대로 15 (마포동,9층)
ValueCountFrequency (%)
서울특별시 142
 
14.9%
마포구 142
 
14.9%
서교동 30
 
3.1%
상암동 23
 
2.4%
3층 16
 
1.7%
마포대로 16
 
1.7%
2층 11
 
1.2%
4층 11
 
1.2%
도화동 10
 
1.0%
성산동 9
 
0.9%
Other values (343) 546
57.1%
2024-04-22T02:14:53.837964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
830
 
16.8%
서 182
 
3.7%
마 182
 
3.7%
포 180
 
3.6%
1 171
 
3.5%
동 167
 
3.4%
, 165
 
3.3%
( 146
 
3.0%
) 146
 
3.0%
울 145
 
2.9%
Other values (214) 2630
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2824
57.1%
Space Separator 830
 
16.8%
Decimal Number 714
 
14.4%
Other Punctuation 166
 
3.4%
Open Punctuation 146
 
3.0%
Close Punctuation 146
 
3.0%
Uppercase Letter 85
 
1.7%
Dash Punctuation 27
 
0.5%
Lowercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 182
 
6.4%
마 182
 
6.4%
포 180
 
6.4%
동 167
 
5.9%
울 145
 
5.1%
구 145
 
5.1%
로 144
 
5.1%
시 144
 
5.1%
별 143
 
5.1%
특 142
 
5.0%
Other values (173) 1250
44.3%
Uppercase Letter
ValueCountFrequency (%)
C 13
15.3%
S 10
11.8%
D 9
10.6%
M 9
10.6%
B 8
9.4%
A 6
 
7.1%
E 5
 
5.9%
N 4
 
4.7%
G 3
 
3.5%
L 3
 
3.5%
Other values (10) 15
17.6%
Decimal Number
ValueCountFrequency (%)
1 171
23.9%
2 104
14.6%
3 91
12.7%
0 73
10.2%
5 58
 
8.1%
4 56
 
7.8%
6 47
 
6.6%
7 42
 
5.9%
8 36
 
5.0%
9 36
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
40.0%
y 1
20.0%
i 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 165
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
830
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2822
57.1%
Common 2030
41.1%
Latin 90
 
1.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 182
 
6.4%
마 182
 
6.4%
포 180
 
6.4%
동 167
 
5.9%
울 145
 
5.1%
구 145
 
5.1%
로 144
 
5.1%
시 144
 
5.1%
별 143
 
5.1%
특 142
 
5.0%
Other values (171) 1248
44.2%
Latin
ValueCountFrequency (%)
C 13
14.4%
S 10
11.1%
D 9
10.0%
M 9
10.0%
B 8
 
8.9%
A 6
 
6.7%
E 5
 
5.6%
N 4
 
4.4%
G 3
 
3.3%
L 3
 
3.3%
Other values (14) 20
22.2%
Common
ValueCountFrequency (%)
830
40.9%
1 171
 
8.4%
, 165
 
8.1%
( 146
 
7.2%
) 146
 
7.2%
2 104
 
5.1%
3 91
 
4.5%
0 73
 
3.6%
5 58
 
2.9%
4 56
 
2.8%
Other values (7) 190
 
9.4%
Han
ValueCountFrequency (%)
寶 1
50.0%
東 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2822
57.1%
ASCII 2120
42.9%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
830
39.2%
1 171
 
8.1%
, 165
 
7.8%
( 146
 
6.9%
) 146
 
6.9%
2 104
 
4.9%
3 91
 
4.3%
0 73
 
3.4%
5 58
 
2.7%
4 56
 
2.6%
Other values (31) 280
 
13.2%
Hangul
ValueCountFrequency (%)
서 182
 
6.4%
마 182
 
6.4%
포 180
 
6.4%
동 167
 
5.9%
울 145
 
5.1%
구 145
 
5.1%
로 144
 
5.1%
시 144
 
5.1%
별 143
 
5.1%
특 142
 
5.0%
Other values (171) 1248
44.2%
CJK
ValueCountFrequency (%)
寶 1
50.0%
東 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)56.8%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean4040.4964
Minimum3908
Maximum4209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:14:54.300199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3908
5-th percentile3910.8
Q13981.5
median4034
Q34091
95-th percentile4177
Maximum4209
Range301
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation85.938668
Coefficient of variation (CV)0.021269334
Kurtosis-0.88925754
Mean4040.4964
Median Absolute Deviation (MAD)55
Skewness0.25556789
Sum561629
Variance7385.4547
MonotonicityNot monotonic
2024-04-22T02:14:54.554767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3909 5
 
3.5%
4043 5
 
3.5%
4168 4
 
2.8%
4031 4
 
2.8%
4029 4
 
2.8%
3926 4
 
2.8%
4003 4
 
2.8%
4038 4
 
2.8%
3925 3
 
2.1%
3993 3
 
2.1%
Other values (69) 99
69.2%
(Missing) 4
 
2.8%
ValueCountFrequency (%)
3908 2
 
1.4%
3909 5
3.5%
3911 2
 
1.4%
3920 2
 
1.4%
3922 2
 
1.4%
3923 1
 
0.7%
3924 1
 
0.7%
3925 3
2.1%
3926 4
2.8%
3929 2
 
1.4%
ValueCountFrequency (%)
4209 2
1.4%
4208 1
 
0.7%
4195 1
 
0.7%
4186 1
 
0.7%
4185 1
 
0.7%
4177 2
1.4%
4176 2
1.4%
4175 3
2.1%
4173 2
1.4%
4168 4
2.8%

사업장명
Text

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T02:14:55.365329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length14
Mean length9.972028
Min length4

Characters and Unicode

Total characters1426
Distinct characters248
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

Unique141 ?
Unique (%)98.6%

Sample

1st row(주)씨이에스
2nd row(주)동서여행사
3rd row(주)쥬디앤커뮤니케이션즈
4th row(주)프리마코리아
5th row할리데이인터내셔날(주)
ValueCountFrequency (%)
주식회사 32
 
17.3%
주)더감동팩토리 2
 
1.1%
재)한국산업기술문화재단 1
 
0.5%
주)트래비스(travis 1
 
0.5%
주)미디어링스커뮤니케이션 1
 
0.5%
주)지에스디자인 1
 
0.5%
주)엔에이치알커뮤니케이션즈 1
 
0.5%
지속가능발전경영센터 1
 
0.5%
더홀릭스 1
 
0.5%
주)씨엔피트러스트 1
 
0.5%
Other values (143) 143
77.3%
2024-04-22T02:14:56.387823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 135
 
9.5%
( 106
 
7.4%
) 106
 
7.4%
이 77
 
5.4%
스 49
 
3.4%
42
 
2.9%
사 37
 
2.6%
회 34
 
2.4%
식 32
 
2.2%
아 29
 
2.0%
Other values (238) 779
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1137
79.7%
Open Punctuation 106
 
7.4%
Close Punctuation 106
 
7.4%
Space Separator 42
 
2.9%
Uppercase Letter 28
 
2.0%
Other Punctuation 5
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 135
 
11.9%
이 77
 
6.8%
스 49
 
4.3%
사 37
 
3.3%
회 34
 
3.0%
식 32
 
2.8%
아 29
 
2.6%
에 28
 
2.5%
케 26
 
2.3%
리 25
 
2.2%
Other values (215) 665
58.5%
Uppercase Letter
ValueCountFrequency (%)
R 4
14.3%
A 4
14.3%
E 3
10.7%
T 3
10.7%
S 3
10.7%
D 2
 
7.1%
I 1
 
3.6%
V 1
 
3.6%
M 1
 
3.6%
G 1
 
3.6%
Other values (5) 5
17.9%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1137
79.7%
Common 261
 
18.3%
Latin 28
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 135
 
11.9%
이 77
 
6.8%
스 49
 
4.3%
사 37
 
3.3%
회 34
 
3.0%
식 32
 
2.8%
아 29
 
2.6%
에 28
 
2.5%
케 26
 
2.3%
리 25
 
2.2%
Other values (215) 665
58.5%
Latin
ValueCountFrequency (%)
R 4
14.3%
A 4
14.3%
E 3
10.7%
T 3
10.7%
S 3
10.7%
D 2
 
7.1%
I 1
 
3.6%
V 1
 
3.6%
M 1
 
3.6%
G 1
 
3.6%
Other values (5) 5
17.9%
Common
ValueCountFrequency (%)
( 106
40.6%
) 106
40.6%
42
 
16.1%
. 3
 
1.1%
2 1
 
0.4%
1 1
 
0.4%
, 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1137
79.7%
ASCII 289
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 135
 
11.9%
이 77
 
6.8%
스 49
 
4.3%
사 37
 
3.3%
회 34
 
3.0%
식 32
 
2.8%
아 29
 
2.6%
에 28
 
2.5%
케 26
 
2.3%
리 25
 
2.2%
Other values (215) 665
58.5%
ASCII
ValueCountFrequency (%)
( 106
36.7%
) 106
36.7%
42
 
14.5%
R 4
 
1.4%
A 4
 
1.4%
E 3
 
1.0%
. 3
 
1.0%
T 3
 
1.0%
S 3
 
1.0%
D 2
 
0.7%
Other values (13) 13
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2006-09-08 17:50:07
Maximum2024-04-04 11:15:15
2024-04-22T02:14:56.619509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T02:14:56.918751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
73 
U
70 

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 (%)
I 73
51.0%
U 70
49.0%

Length

2024-04-22T02:14:57.332478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:14:57.649014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
51.0%
u 70
49.0%

데이터갱신일자
Date

Distinct97
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-22T02:14:57.976124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T02:14:58.400091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct119
Distinct (%)83.8%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean192997.43
Minimum189855.43
Maximum196337.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:14:58.808418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189855.43
5-th percentile190147.89
Q1192191.23
median192855.64
Q3194279.42
95-th percentile195761.87
Maximum196337.76
Range6482.3281
Interquartile range (IQR)2088.1933

Descriptive statistics

Standard deviation1773.3242
Coefficient of variation (CV)0.0091883307
Kurtosis-0.7563776
Mean192997.43
Median Absolute Deviation (MAD)1052.7569
Skewness0.019535373
Sum27405635
Variance3144678.6
MonotonicityNot monotonic
2024-04-22T02:14:59.252647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195703.425296812 4
 
2.8%
195019.399817378 3
 
2.1%
195616.580723896 3
 
2.1%
190459.967586857 3
 
2.1%
189855.433985731 3
 
2.1%
190293.979873354 2
 
1.4%
190204.923593825 2
 
1.4%
192771.317340685 2
 
1.4%
190909.280217808 2
 
1.4%
195254.758704781 2
 
1.4%
Other values (109) 116
81.1%
ValueCountFrequency (%)
189855.433985731 3
2.1%
189907.583184796 1
 
0.7%
189919.550051873 1
 
0.7%
190075.380363452 1
 
0.7%
190125.564768858 1
 
0.7%
190144.892942247 1
 
0.7%
190204.923593825 2
1.4%
190217.044298752 1
 
0.7%
190221.187884898 1
 
0.7%
190250.875091908 1
 
0.7%
ValueCountFrequency (%)
196337.762068147 1
 
0.7%
196293.231026739 1
 
0.7%
196286.512049256 1
 
0.7%
196062.240839646 1
 
0.7%
196032.486543817 1
 
0.7%
195900.709427813 1
 
0.7%
195829.154836156 1
 
0.7%
195764.944565229 1
 
0.7%
195703.425296812 4
2.8%
195616.580723896 3
2.1%

좌표정보(Y)
Real number (ℝ)

Distinct119
Distinct (%)83.8%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean450418.43
Minimum448229.06
Maximum453614.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:14:59.677875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448476.86
Q1449336.56
median450232.87
Q3450930.23
95-th percentile453207.05
Maximum453614.58
Range5385.5196
Interquartile range (IQR)1593.6752

Descriptive statistics

Standard deviation1424.9699
Coefficient of variation (CV)0.0031636582
Kurtosis-0.32897987
Mean450418.43
Median Absolute Deviation (MAD)834.85836
Skewness0.73346726
Sum63959416
Variance2030539.3
MonotonicityNot monotonic
2024-04-22T02:15:00.119783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449330.800717721 4
 
2.8%
448407.752664604 3
 
2.1%
448973.867131637 3
 
2.1%
453050.376274362 3
 
2.1%
453614.583448105 3
 
2.1%
452694.976414446 2
 
1.4%
452434.679034834 2
 
1.4%
450030.754909009 2
 
1.4%
452720.136638715 2
 
1.4%
448476.859046692 2
 
1.4%
Other values (109) 116
81.1%
ValueCountFrequency (%)
448229.063825491 2
1.4%
448288.891076098 1
 
0.7%
448345.713688045 1
 
0.7%
448407.752664604 3
2.1%
448476.859046692 2
1.4%
448487.374314355 2
1.4%
448780.26877488 1
 
0.7%
448799.641804029 2
1.4%
448885.430093289 1
 
0.7%
448915.134736478 1
 
0.7%
ValueCountFrequency (%)
453614.583448105 3
2.1%
453345.947683972 1
 
0.7%
453342.222208599 1
 
0.7%
453302.04990022 1
 
0.7%
453297.986643563 1
 
0.7%
453213.198487908 1
 
0.7%
453090.149821248 1
 
0.7%
453050.376274362 3
2.1%
453017.867202928 1
 
0.7%
452995.277230914 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
국제회의기획업
84 
<NA>
59 

Length

Max length7
Median length7
Mean length5.7622378
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 84
58.7%
<NA> 59
41.3%

Length

2024-04-22T02:15:00.538267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:00.863689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 84
58.7%
na 59
41.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
관광사업
 
13

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
90.9%
관광사업 13
 
9.1%

Length

2024-04-22T02:15:01.208314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:01.531349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
90.9%
관광사업 13
 
9.1%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing141
Missing (%)98.6%
Memory size1.2 KiB
2024-04-22T02:15:02.007452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
Distinct characters9
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

Unique2 ?
Unique (%)100.0%

Sample

1st row준주거지역
2nd row일반상업지역
ValueCountFrequency (%)
준주거지역 1
50.0%
일반상업지역 1
50.0%
2024-04-22T02:15:02.899775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:03.312732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:03.644223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing141
Missing (%)98.6%
Memory size1.2 KiB
2024-04-22T02:15:03.891889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-04-22T02:15:04.554626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

건물용도명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing137
Missing (%)95.8%
Memory size1.2 KiB
2024-04-22T02:15:05.047279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length3.8333333
Min length2

Characters and Unicode

Total characters23
Distinct characters11
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 (%)16.7%

Sample

1st row근린생활시설
2nd row사무실
3rd row사무실
4th row사무실
5th row근린생활시설
ValueCountFrequency (%)
사무실 3
50.0%
근린생활시설 2
33.3%
기타 1
 
16.7%
2024-04-22T02:15:05.966908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 3
13.0%
무 3
13.0%
실 3
13.0%
근 2
8.7%
린 2
8.7%
생 2
8.7%
활 2
8.7%
시 2
8.7%
설 2
8.7%
기 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3
13.0%
무 3
13.0%
실 3
13.0%
근 2
8.7%
린 2
8.7%
생 2
8.7%
활 2
8.7%
시 2
8.7%
설 2
8.7%
기 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3
13.0%
무 3
13.0%
실 3
13.0%
근 2
8.7%
린 2
8.7%
생 2
8.7%
활 2
8.7%
시 2
8.7%
설 2
8.7%
기 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 3
13.0%
무 3
13.0%
실 3
13.0%
근 2
8.7%
린 2
8.7%
생 2
8.7%
활 2
8.7%
시 2
8.7%
설 2
8.7%
기 1
 
4.3%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
10
6
 
1

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
92.3%
0 10
 
7.0%
6 1
 
0.7%

Length

2024-04-22T02:15:06.382540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:06.714329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
92.3%
0 10
 
7.0%
6 1
 
0.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:07.076680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:07.403952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:07.758521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:08.085662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:08.438884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:08.766452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

영문상호명
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing117
Missing (%)81.8%
Memory size1.2 KiB
2024-04-22T02:15:09.462966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length19.269231
Min length6

Characters and Unicode

Total characters501
Distinct characters48
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

Unique24 ?
Unique (%)92.3%

Sample

1st rowMega On Co., Ltd.
2nd rowWHYNOT Wennovation Co., Ltd.
3rd rowSBS Contents Hub Co., Ltd.
4th rowMICErang Co., Ltd.
5th rowFUN & EMOTION CO., LTD.
ValueCountFrequency (%)
co 20
22.0%
ltd 20
22.0%
from 2
 
2.2%
co.,ltd 2
 
2.2%
a 2
 
2.2%
marketing 2
 
2.2%
korea 2
 
2.2%
cane 1
 
1.1%
siren 1
 
1.1%
on 1
 
1.1%
Other values (38) 38
41.8%
2024-04-22T02:15:10.638556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
13.0%
. 43
 
8.6%
o 35
 
7.0%
C 34
 
6.8%
t 30
 
6.0%
L 24
 
4.8%
, 22
 
4.4%
d 21
 
4.2%
n 17
 
3.4%
M 14
 
2.8%
Other values (38) 196
39.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 192
38.3%
Lowercase Letter 176
35.1%
Other Punctuation 67
 
13.4%
Space Separator 65
 
13.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 34
17.7%
L 24
12.5%
M 14
 
7.3%
N 14
 
7.3%
E 13
 
6.8%
O 13
 
6.8%
I 11
 
5.7%
S 10
 
5.2%
T 8
 
4.2%
A 8
 
4.2%
Other values (13) 43
22.4%
Lowercase Letter
ValueCountFrequency (%)
o 35
19.9%
t 30
17.0%
d 21
11.9%
n 17
9.7%
a 13
 
7.4%
e 11
 
6.2%
m 10
 
5.7%
i 9
 
5.1%
u 5
 
2.8%
r 5
 
2.8%
Other values (10) 20
11.4%
Other Punctuation
ValueCountFrequency (%)
. 43
64.2%
, 22
32.8%
& 2
 
3.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 368
73.5%
Common 133
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 35
 
9.5%
C 34
 
9.2%
t 30
 
8.2%
L 24
 
6.5%
d 21
 
5.7%
n 17
 
4.6%
M 14
 
3.8%
N 14
 
3.8%
a 13
 
3.5%
E 13
 
3.5%
Other values (33) 153
41.6%
Common
ValueCountFrequency (%)
65
48.9%
. 43
32.3%
, 22
 
16.5%
& 2
 
1.5%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
 
13.0%
. 43
 
8.6%
o 35
 
7.0%
C 34
 
6.8%
t 30
 
6.0%
L 24
 
4.8%
, 22
 
4.4%
d 21
 
4.2%
n 17
 
3.4%
M 14
 
2.8%
Other values (38) 196
39.1%

영문상호주소
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
PROFESSIONAL CONGRESS ORGANIZER
14 
Professional Congress Organizer
 
10
Professional Convention Organizer
 
2

Length

Max length33
Median length4
Mean length8.9370629
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> 117
81.8%
PROFESSIONAL CONGRESS ORGANIZER 14
 
9.8%
Professional Congress Organizer 10
 
7.0%
Professional Convention Organizer 2
 
1.4%

Length

2024-04-22T02:15:11.052511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:11.381590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
60.0%
professional 26
 
13.3%
organizer 26
 
13.3%
congress 24
 
12.3%
convention 2
 
1.0%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:12.012614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:12.339265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:12.690106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:13.017583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:13.366184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:13.694505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:14.044340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:14.372358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:14.721431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:15.050269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)58.3%
Missing119
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean311.1475
Minimum0
Maximum5938.21
Zeros10
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:15:15.334532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44.635
Q3116.505
95-th percentile330.9425
Maximum5938.21
Range5938.21
Interquartile range (IQR)116.505

Descriptive statistics

Standard deviation1201.6394
Coefficient of variation (CV)3.8619607
Kurtosis23.720977
Mean311.1475
Median Absolute Deviation (MAD)44.635
Skewness4.858686
Sum7467.54
Variance1443937.3
MonotonicityNot monotonic
2024-04-22T02:15:15.686577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 10
 
7.0%
47.52 2
 
1.4%
142.42 1
 
0.7%
41.75 1
 
0.7%
41.66 1
 
0.7%
182.83 1
 
0.7%
66.12 1
 
0.7%
357.08 1
 
0.7%
132.0 1
 
0.7%
178.51 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 119
83.2%
ValueCountFrequency (%)
0.0 10
7.0%
41.66 1
 
0.7%
41.75 1
 
0.7%
47.52 2
 
1.4%
66.12 1
 
0.7%
81.58 1
 
0.7%
99.0 1
 
0.7%
111.34 1
 
0.7%
132.0 1
 
0.7%
142.42 1
 
0.7%
ValueCountFrequency (%)
5938.21 1
0.7%
357.08 1
0.7%
182.83 1
0.7%
178.51 1
0.7%
142.42 1
0.7%
132.0 1
0.7%
111.34 1
0.7%
99.0 1
0.7%
81.58 1
0.7%
66.12 1
0.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
10

Length

Max length4
Median length4
Mean length3.7902098
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> 133
93.0%
0 10
 
7.0%

Length

2024-04-22T02:15:16.092042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:15:16.334476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
93.0%
0 10
 
7.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)49.2%
Missing78
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean3.7223312 × 109
Minimum0
Maximum1.7315724 × 1011
Zeros3
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:15:16.511207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50000000
Q150000000
median70000000
Q32.5 × 108
95-th percentile5.029673 × 109
Maximum1.7315724 × 1011
Range1.7315724 × 1011
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation2.1995292 × 1010
Coefficient of variation (CV)5.9090099
Kurtosis57.440162
Mean3.7223312 × 109
Median Absolute Deviation (MAD)24838942
Skewness7.4500856
Sum2.4195153 × 1011
Variance4.8379285 × 1020
MonotonicityNot monotonic
2024-04-22T02:15:16.746722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
50000000 24
 
16.8%
200000000 5
 
3.5%
100000000 4
 
2.8%
0 3
 
2.1%
300000000 2
 
1.4%
173157237500 1
 
0.7%
52451268 1
 
0.7%
1168218469 1
 
0.7%
2348365060 1
 
0.7%
71973288 1
 
0.7%
Other values (22) 22
 
15.4%
(Missing) 78
54.5%
ValueCountFrequency (%)
0 3
 
2.1%
50000000 24
16.8%
52451268 1
 
0.7%
60000000 1
 
0.7%
62094525 1
 
0.7%
63459357 1
 
0.7%
67958762 1
 
0.7%
70000000 1
 
0.7%
71973288 1
 
0.7%
80194713 1
 
0.7%
ValueCountFrequency (%)
173157237500 1
0.7%
42000000000 1
0.7%
8552173062 1
0.7%
5700000000 1
0.7%
2348365060 1
0.7%
1168218469 1
0.7%
848507765 1
0.7%
834898079 1
0.7%
518817093 1
0.7%
508072824 1
0.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)54.2%
Missing119
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean311.20833
Minimum0
Maximum5938
Zeros10
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-22T02:15:16.957398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3116.25
95-th percentile330.9
Maximum5938
Range5938
Interquartile range (IQR)116.25

Descriptive statistics

Standard deviation1201.5811
Coefficient of variation (CV)3.8610184
Kurtosis23.721021
Mean311.20833
Median Absolute Deviation (MAD)45
Skewness4.8586915
Sum7469
Variance1443797.1
MonotonicityNot monotonic
2024-04-22T02:15:17.141922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 10
 
7.0%
42 2
 
1.4%
48 2
 
1.4%
142 1
 
0.7%
183 1
 
0.7%
66 1
 
0.7%
357 1
 
0.7%
132 1
 
0.7%
179 1
 
0.7%
111 1
 
0.7%
Other values (3) 3
 
2.1%
(Missing) 119
83.2%
ValueCountFrequency (%)
0 10
7.0%
42 2
 
1.4%
48 2
 
1.4%
66 1
 
0.7%
82 1
 
0.7%
99 1
 
0.7%
111 1
 
0.7%
132 1
 
0.7%
142 1
 
0.7%
179 1
 
0.7%
ValueCountFrequency (%)
5938 1
0.7%
357 1
0.7%
183 1
0.7%
179 1
0.7%
142 1
0.7%
132 1
0.7%
111 1
0.7%
99 1
0.7%
82 1
0.7%
66 1
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03130000CDFI226310199800000119981116<NA>1영업/정상13영업중<NA><NA><NA><NA>716-5553<NA>121736서울특별시 마포구 마포동 136-1 한신빌딩 511호서울특별시 마포구 마포대로 12, 511호 (마포동,한신빌딩)4175(주)씨이에스2006-09-08 17:50:07I2018-08-31 23:59:59.0<NA>195019.399817448407.752665국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFI226310200100000120010307<NA>1영업/정상13영업중<NA><NA><NA><NA>707-1721<NA>121873서울특별시 마포구 염리동 155-13서울특별시 마포구 백범로 124 (염리동)4149(주)동서여행사2007-04-19 14:52:56I2018-08-31 23:59:59.0<NA>195031.531623449353.830603국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFI226310200100000220010629<NA>1영업/정상13영업중<NA><NA><NA><NA>3142-1033<NA>121817서울특별시 마포구 동교동 165-8 1528호서울특별시 마포구 양화로 156 (동교동,1528호)4050(주)쥬디앤커뮤니케이션즈2007-04-19 14:55:05I2018-08-31 23:59:59.0<NA>193166.430145450425.852791국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFI226310200100000320011020<NA>1영업/정상13영업중<NA><NA><NA><NA>332-5665<NA>121899서울특별시 마포구 동교동 185-18 3층서울특별시 마포구 신촌로 60 (동교동,3층)4057(주)프리마코리아2007-04-19 14:58:34I2018-08-31 23:59:59.0<NA>193967.235006450459.019381국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFI226310200200000120021002<NA>1영업/정상13영업중<NA><NA><NA><NA>711-2641<NA>121050서울특별시 마포구 마포동 35-1 9층서울특별시 마포구 마포대로 15 (마포동,9층)4165할리데이인터내셔날(주)2007-04-19 15:00:16I2018-08-31 23:59:59.0<NA>194978.350113448487.374314국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53130000CDFI226310200200000220021029<NA>4취소/말소/만료/정지/중지35직권말소20220810<NA><NA><NA>6324-7300<NA>121846서울특별시 마포구 성산동 232-12 레이즈빌딩 7층서울특별시 마포구 월드컵북로 59, 7층 (성산동, 레이즈빌딩)3999(주)연.하나로기획2022-08-10 09:02:46U2021-12-07 23:02:00.0<NA>192577.355972450783.492332<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63130000CDFI226310200300000220030501<NA>1영업/정상13영업중<NA><NA><NA><NA>336-0447<NA>121836서울특별시 마포구 서교동 334-1 성암빌딩3층서울특별시 마포구 와우산로29길 45 (서교동,성암빌딩3층)4053(주)지니릴레이션2007-04-19 15:05:11I2018-08-31 23:59:59.0<NA>193523.679849450364.548821국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000CDFI226310200300000320031212<NA>3폐업3폐업20181231<NA><NA><NA>3220266<NA>121817서울특별시 마포구 동교동 164-3 4층<NA><NA>(주)지에스이엠코퍼레이션2018-12-31 10:10:23U2019-01-02 02:40:00.0<NA><NA><NA>국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83130000CDFI22631020040000032004-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA>705-2136<NA>121-721서울특별시 마포구 공덕동 275 LG마포빌딩 12층서울특별시 마포구 마포대로 155 (공덕동,LG마포빌딩 12층)4143(주)에이치에스애드2023-07-31 09:21:07U2022-12-08 00:02:00.0<NA>195829.154836449552.640223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93130000CDFI226310200400000420040802<NA>1영업/정상13영업중<NA><NA><NA><NA>324-2638<NA>121893서울특별시 마포구 서교동 370-12 3층서울특별시 마포구 양화로16길 14-16 (서교동,3층)4039(주)리베떼2007-04-13 09:54:05I2018-08-31 23:59:59.0<NA>192865.80229450058.593505국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1333130000CDFI22631020230000102023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 395-5 선진빌딩서울특별시 마포구 양화로12길 24, 선진빌딩 3층 (서교동)4043주식회사 유앤어스코리아2023-08-04 14:58:23I2022-12-08 00:06:00.0<NA>192725.215076449952.756553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1343130000CDFI22631020230000112023-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4340-4730<NA><NA>서울특별시 마포구 신수동 448-6 한국출판콘텐츠센터서울특별시 마포구 토정로 222, 한국출판콘텐츠센터 408호 (신수동)4091이비에스미디어 주식회사2023-08-30 10:27:48U2022-12-09 00:01:00.0<NA>194213.770531449124.928851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1353130000CDFI22631020230000122023-08-10<NA>5제외/삭제/전출15전출2024-04-04<NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 25-13 효성해링턴 스퀘어서울특별시 마포구 마포대로 92, 효성해링턴 스퀘어 A동 3층 (도화동)4168주식회사 제이엠커넥티드2024-04-04 11:15:15U2023-12-04 00:06:00.0<NA>195616.580724448973.867132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363130000CDFI22631020230000132023-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상수동 337-6서울특별시 마포구 와우산로3길 31, 2호 (상수동)4074주식회사 리딩컨버젼스2023-08-30 16:40:25I2022-12-09 00:01:00.0<NA>192971.372715449284.329267<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373130000CDFI22631020230000142023-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 1596 상암DMC푸르지오시티, S-City서울특별시 마포구 월드컵북로54길 25, 상암DMC푸르지오시티, S-City 1618호 (상암동)3924주식회사 케이컬쳐글로벌2023-11-13 10:53:01U2022-10-31 23:05:00.0<NA>190144.892942453302.0499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1383130000CDFI22631020230000152023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 204-3 국토빌서울특별시 마포구 토정로 38, 2층 (합정동, 국토빌)4085주식회사 디아이콘팩토리2023-12-20 13:21:24I2022-11-01 22:03:00.0<NA>192427.286251449242.675735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1393130000CDFI22631020230000162018-09-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-9010<NA><NA>서울특별시 마포구 서교동 403-21 서홍빌딩서울특별시 마포구 독막로9길 18, 서홍빌딩 5층 (서교동)4048(주)더감동팩토리2023-12-21 13:57:08I2022-11-01 22:03:00.0<NA>192869.397678449650.778251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403130000CDFI22631020240000012024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-504-4685<NA><NA>서울특별시 마포구 마포동 324-1서울특별시 마포구 마포대로4다길 4, 101호 (마포동)4176주시회사 브릿지앤파트너스2024-01-25 10:20:16I2023-11-30 22:07:00.0<NA>195027.862806448288.891076<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413130000CDFI22631020240000022024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 25-13 효성해링턴 스퀘어서울특별시 마포구 마포대로 92, 효성해링턴 스퀘어 에이동 3층 (도화동)4168주식회사 케이마이스2024-02-02 10:12:42I2023-12-02 00:04:00.0<NA>195616.580724448973.867132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423130000CDFI22631020240000032024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 566-43서울특별시 마포구 연남로1길 8-4, 4층 (연남동)3990주식회사 인천인터내셔널2024-03-18 10:50:59I2023-12-02 22:00:00.0<NA>193056.511317450974.441105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>