Overview

Dataset statistics

Number of variables60
Number of observations130
Missing cells3283
Missing cells (%)42.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.1 KiB
Average record size in memory521.0 B

Variable types

Categorical23
Text8
DateTime4
Unsupported19
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17188/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.5%)Imbalance
영업상태코드 is highly imbalanced (59.5%)Imbalance
영업상태명 is highly imbalanced (59.5%)Imbalance
상세영업상태코드 is highly imbalanced (62.4%)Imbalance
상세영업상태명 is highly imbalanced (62.4%)Imbalance
지역구분명 is highly imbalanced (81.2%)Imbalance
총층수 is highly imbalanced (81.1%)Imbalance
건물용도명 is highly imbalanced (75.2%)Imbalance
지상층수 is highly imbalanced (81.5%)Imbalance
지하층수 is highly imbalanced (81.1%)Imbalance
객실수 is highly imbalanced (76.5%)Imbalance
건축연면적 is highly imbalanced (76.5%)Imbalance
영문상호주소 is highly imbalanced (68.6%)Imbalance
선박총톤수 is highly imbalanced (76.5%)Imbalance
선박척수 is highly imbalanced (76.5%)Imbalance
무대면적 is highly imbalanced (76.5%)Imbalance
좌석수 is highly imbalanced (76.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (76.5%)Imbalance
놀이시설수 is highly imbalanced (76.5%)Imbalance
폐업일자 has 111 (85.4%) missing valuesMissing
휴업시작일자 has 130 (100.0%) missing valuesMissing
휴업종료일자 has 130 (100.0%) missing valuesMissing
재개업일자 has 130 (100.0%) missing valuesMissing
전화번호 has 32 (24.6%) missing valuesMissing
소재지면적 has 130 (100.0%) missing valuesMissing
소재지우편번호 has 88 (67.7%) missing valuesMissing
도로명주소 has 4 (3.1%) missing valuesMissing
도로명우편번호 has 32 (24.6%) missing valuesMissing
업태구분명 has 130 (100.0%) missing valuesMissing
주변환경명 has 128 (98.5%) missing valuesMissing
제작취급품목내용 has 130 (100.0%) missing valuesMissing
보험기관명 has 130 (100.0%) missing valuesMissing
영문상호명 has 110 (84.6%) missing valuesMissing
선박제원 has 130 (100.0%) missing valuesMissing
기념품종류 has 130 (100.0%) missing valuesMissing
시설면적 has 118 (90.8%) missing valuesMissing
놀이기구수내역 has 130 (100.0%) missing valuesMissing
방송시설유무 has 130 (100.0%) missing valuesMissing
발전시설유무 has 130 (100.0%) missing valuesMissing
의무실유무 has 130 (100.0%) missing valuesMissing
안내소유무 has 130 (100.0%) missing valuesMissing
기획여행보험시작일자 has 130 (100.0%) missing valuesMissing
기획여행보험종료일자 has 130 (100.0%) missing valuesMissing
자본금 has 70 (53.8%) missing valuesMissing
보험시작일자 has 130 (100.0%) missing valuesMissing
보험종료일자 has 130 (100.0%) missing valuesMissing
부대시설내역 has 130 (100.0%) missing valuesMissing
시설규모 has 118 (90.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 5 (3.8%) zerosZeros
시설규모 has 5 (3.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:47:26.111629
Analysis finished2024-05-11 05:47:27.261140
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3210000
130 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 130
100.0%

Length

2024-05-11T14:47:27.367344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:27.524709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 130
100.0%

관리번호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:47:27.822633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2600
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

Unique130 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101989000001
2nd rowCDFI2263101999000003
3rd rowCDFI2263101999000004
4th rowCDFI2263101999000005
5th rowCDFI2263102000000001
ValueCountFrequency (%)
cdfi2263101989000001 1
 
0.8%
cdfi2263102021000007 1
 
0.8%
cdfi2263102021000005 1
 
0.8%
cdfi2263102021000004 1
 
0.8%
cdfi2263102021000003 1
 
0.8%
cdfi2263102021000001 1
 
0.8%
cdfi2263102020000011 1
 
0.8%
cdfi2263102020000010 1
 
0.8%
cdfi2263102020000009 1
 
0.8%
cdfi2263102020000008 1
 
0.8%
Other values (120) 120
92.3%
2024-05-11T14:47:28.386384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 938
36.1%
2 465
17.9%
1 231
 
8.9%
3 174
 
6.7%
6 151
 
5.8%
C 130
 
5.0%
D 130
 
5.0%
F 130
 
5.0%
I 130
 
5.0%
4 32
 
1.2%
Other values (4) 89
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2080
80.0%
Uppercase Letter 520
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 938
45.1%
2 465
22.4%
1 231
 
11.1%
3 174
 
8.4%
6 151
 
7.3%
4 32
 
1.5%
9 29
 
1.4%
5 24
 
1.2%
7 23
 
1.1%
8 13
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 130
25.0%
D 130
25.0%
F 130
25.0%
I 130
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2080
80.0%
Latin 520
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 938
45.1%
2 465
22.4%
1 231
 
11.1%
3 174
 
8.4%
6 151
 
7.3%
4 32
 
1.5%
9 29
 
1.4%
5 24
 
1.2%
7 23
 
1.1%
8 13
 
0.6%
Latin
ValueCountFrequency (%)
C 130
25.0%
D 130
25.0%
F 130
25.0%
I 130
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 938
36.1%
2 465
17.9%
1 231
 
8.9%
3 174
 
6.7%
6 151
 
5.8%
C 130
 
5.0%
D 130
 
5.0%
F 130
 
5.0%
I 130
 
5.0%
4 32
 
1.2%
Other values (4) 89
 
3.4%

인허가일자
Date

Distinct125
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1989-07-05 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:47:28.606036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:28.836038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
129 
20191016
 
1

Length

Max length8
Median length4
Mean length4.0307692
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
99.2%
20191016 1
 
0.8%

Length

2024-05-11T14:47:29.067752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:29.264557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
99.2%
20191016 1
 
0.8%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
110 
3
 
10
5
 
9
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 110
84.6%
3 10
 
7.7%
5 9
 
6.9%
4 1
 
0.8%

Length

2024-05-11T14:47:29.448305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:29.631733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 110
84.6%
3 10
 
7.7%
5 9
 
6.9%
4 1
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
110 
폐업
 
10
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.0461538
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 110
84.6%
폐업 10
 
7.7%
제외/삭제/전출 9
 
6.9%
취소/말소/만료/정지/중지 1
 
0.8%

Length

2024-05-11T14:47:29.822578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:30.062184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 110
84.6%
폐업 10
 
7.7%
제외/삭제/전출 9
 
6.9%
취소/말소/만료/정지/중지 1
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
109 
3
 
10
15
 
9
14
 
1
31
 
1

Length

Max length2
Median length2
Mean length1.9230769
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 109
83.8%
3 10
 
7.7%
15 9
 
6.9%
14 1
 
0.8%
31 1
 
0.8%

Length

2024-05-11T14:47:30.332362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:30.529479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 109
83.8%
3 10
 
7.7%
15 9
 
6.9%
14 1
 
0.8%
31 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
109 
폐업
 
10
전출
 
9
전입
 
1
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8538462
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 109
83.8%
폐업 10
 
7.7%
전출 9
 
6.9%
전입 1
 
0.8%
등록취소 1
 
0.8%

Length

2024-05-11T14:47:30.730571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:30.920913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 109
83.8%
폐업 10
 
7.7%
전출 9
 
6.9%
전입 1
 
0.8%
등록취소 1
 
0.8%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing111
Missing (%)85.4%
Memory size1.1 KiB
Minimum2007-10-15 00:00:00
Maximum2024-02-01 00:00:00
2024-05-11T14:47:31.077167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:31.255574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct95
Distinct (%)96.9%
Missing32
Missing (%)24.6%
Memory size1.1 KiB
2024-05-11T14:47:31.642061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.744898
Min length8

Characters and Unicode

Total characters1053
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

Unique92 ?
Unique (%)93.9%

Sample

1st row02-3476-7700
2nd row589-1584
3rd row598-8056
4th row577-4063
5th row02-793-0465
ValueCountFrequency (%)
02 9
 
7.7%
3462-1750 2
 
1.7%
02-550-2500 2
 
1.7%
070 2
 
1.7%
02-587-8327 2
 
1.7%
62142848 1
 
0.9%
521-3925~6 1
 
0.9%
6965-0016 1
 
0.9%
02-554-0807 1
 
0.9%
02-2629-0090 1
 
0.9%
Other values (95) 95
81.2%
2024-05-11T14:47:32.276101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 177
16.8%
- 144
13.7%
2 134
12.7%
5 114
10.8%
7 81
7.7%
6 76
7.2%
3 74
7.0%
8 66
 
6.3%
4 62
 
5.9%
1 55
 
5.2%
Other values (3) 70
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 883
83.9%
Dash Punctuation 144
 
13.7%
Space Separator 25
 
2.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
20.0%
2 134
15.2%
5 114
12.9%
7 81
9.2%
6 76
8.6%
3 74
8.4%
8 66
 
7.5%
4 62
 
7.0%
1 55
 
6.2%
9 44
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1053
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 177
16.8%
- 144
13.7%
2 134
12.7%
5 114
10.8%
7 81
7.7%
6 76
7.2%
3 74
7.0%
8 66
 
6.3%
4 62
 
5.9%
1 55
 
5.2%
Other values (3) 70
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1053
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 177
16.8%
- 144
13.7%
2 134
12.7%
5 114
10.8%
7 81
7.7%
6 76
7.2%
3 74
7.0%
8 66
 
6.3%
4 62
 
5.9%
1 55
 
5.2%
Other values (3) 70
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Text

MISSING 

Distinct34
Distinct (%)81.0%
Missing88
Missing (%)67.7%
Memory size1.1 KiB
2024-05-11T14:47:32.608626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0238095
Min length6

Characters and Unicode

Total characters253
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 (%)64.3%

Sample

1st row137869
2nd row137130
3rd row137868
4th row137889
5th row140133
ValueCountFrequency (%)
137862 3
 
7.1%
137895 2
 
4.8%
137842 2
 
4.8%
137953 2
 
4.8%
137073 2
 
4.8%
137868 2
 
4.8%
137896 2
 
4.8%
137887 1
 
2.4%
137841 1
 
2.4%
137879 1
 
2.4%
Other values (24) 24
57.1%
2024-05-11T14:47:33.105556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 53
20.9%
1 51
20.2%
7 49
19.4%
8 35
13.8%
9 16
 
6.3%
0 15
 
5.9%
6 10
 
4.0%
2 8
 
3.2%
4 8
 
3.2%
5 7
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 53
21.0%
1 51
20.2%
7 49
19.4%
8 35
13.9%
9 16
 
6.3%
0 15
 
6.0%
6 10
 
4.0%
2 8
 
3.2%
4 8
 
3.2%
5 7
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 53
20.9%
1 51
20.2%
7 49
19.4%
8 35
13.8%
9 16
 
6.3%
0 15
 
5.9%
6 10
 
4.0%
2 8
 
3.2%
4 8
 
3.2%
5 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 53
20.9%
1 51
20.2%
7 49
19.4%
8 35
13.8%
9 16
 
6.3%
0 15
 
5.9%
6 10
 
4.0%
2 8
 
3.2%
4 8
 
3.2%
5 7
 
2.8%

지번주소
Text

Distinct126
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:47:33.553185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32.5
Mean length24.976923
Min length14

Characters and Unicode

Total characters3247
Distinct characters170
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

Unique122 ?
Unique (%)93.8%

Sample

1st row서울특별시 서초구 서초동 1337 강남미래타워
2nd row서울특별시 서초구 서초동 1485-8
3rd row서울특별시 서초구 양재동 275-1 삼호물산빌딩 A동 818호
4th row서울특별시 서초구 서초동 1472-16 우일빌딩3층
5th row서울특별시 서초구 양재동 67-5
ValueCountFrequency (%)
서울특별시 130
20.3%
서초구 129
20.2%
서초동 53
 
8.3%
방배동 28
 
4.4%
양재동 26
 
4.1%
잠원동 16
 
2.5%
3층 6
 
0.9%
1356-7 4
 
0.6%
반포동 4
 
0.6%
1층 3
 
0.5%
Other values (222) 240
37.6%
2024-05-11T14:47:34.233263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
18.0%
서 324
 
10.0%
초 190
 
5.9%
1 151
 
4.7%
동 140
 
4.3%
울 132
 
4.1%
시 131
 
4.0%
별 130
 
4.0%
특 130
 
4.0%
구 130
 
4.0%
Other values (160) 1205
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1870
57.6%
Decimal Number 648
 
20.0%
Space Separator 584
 
18.0%
Dash Punctuation 117
 
3.6%
Uppercase Letter 14
 
0.4%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 324
17.3%
초 190
10.2%
동 140
 
7.5%
울 132
 
7.1%
시 131
 
7.0%
별 130
 
7.0%
특 130
 
7.0%
구 130
 
7.0%
빌 59
 
3.2%
딩 56
 
3.0%
Other values (133) 448
24.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
14.3%
J 2
14.3%
V 1
7.1%
M 1
7.1%
K 1
7.1%
R 1
7.1%
E 1
7.1%
W 1
7.1%
O 1
7.1%
T 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
1 151
23.3%
3 87
13.4%
2 70
10.8%
6 61
9.4%
5 60
 
9.3%
4 51
 
7.9%
8 49
 
7.6%
7 45
 
6.9%
0 42
 
6.5%
9 32
 
4.9%
Space Separator
ValueCountFrequency (%)
584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1870
57.6%
Common 1363
42.0%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 324
17.3%
초 190
10.2%
동 140
 
7.5%
울 132
 
7.1%
시 131
 
7.0%
별 130
 
7.0%
특 130
 
7.0%
구 130
 
7.0%
빌 59
 
3.2%
딩 56
 
3.0%
Other values (133) 448
24.0%
Common
ValueCountFrequency (%)
584
42.8%
1 151
 
11.1%
- 117
 
8.6%
3 87
 
6.4%
2 70
 
5.1%
6 61
 
4.5%
5 60
 
4.4%
4 51
 
3.7%
8 49
 
3.6%
7 45
 
3.3%
Other values (5) 88
 
6.5%
Latin
ValueCountFrequency (%)
C 2
14.3%
J 2
14.3%
V 1
7.1%
M 1
7.1%
K 1
7.1%
R 1
7.1%
E 1
7.1%
W 1
7.1%
O 1
7.1%
T 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1870
57.6%
ASCII 1377
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
42.4%
1 151
 
11.0%
- 117
 
8.5%
3 87
 
6.3%
2 70
 
5.1%
6 61
 
4.4%
5 60
 
4.4%
4 51
 
3.7%
8 49
 
3.6%
7 45
 
3.3%
Other values (17) 102
 
7.4%
Hangul
ValueCountFrequency (%)
서 324
17.3%
초 190
10.2%
동 140
 
7.5%
울 132
 
7.1%
시 131
 
7.0%
별 130
 
7.0%
특 130
 
7.0%
구 130
 
7.0%
빌 59
 
3.2%
딩 56
 
3.0%
Other values (133) 448
24.0%

도로명주소
Text

MISSING 

Distinct126
Distinct (%)100.0%
Missing4
Missing (%)3.1%
Memory size1.1 KiB
2024-05-11T14:47:34.711707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length34.277778
Min length24

Characters and Unicode

Total characters4319
Distinct characters204
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

Unique126 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 사임당로 174, 강남미래타워 1103호 (서초동)
2nd row서울특별시 서초구 효령로 238 (서초동)
3rd row서울특별시 서초구 논현로 83, A동 818호 (양재동,삼호물산빌딩)
4th row서울특별시 서초구 반포대로5길 25 (서초동,우일빌딩3층)
5th row서울특별시 서초구 강남대로27길 7-15 (양재동)
ValueCountFrequency (%)
서울특별시 126
 
15.2%
서초구 125
 
15.1%
서초동 43
 
5.2%
방배동 25
 
3.0%
양재동 20
 
2.4%
4층 16
 
1.9%
3층 15
 
1.8%
잠원동 13
 
1.6%
2층 13
 
1.6%
서운로 9
 
1.1%
Other values (329) 422
51.0%
2024-05-11T14:47:35.443146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
 
16.8%
서 338
 
7.8%
초 198
 
4.6%
, 152
 
3.5%
동 140
 
3.2%
로 129
 
3.0%
울 128
 
3.0%
) 127
 
2.9%
시 127
 
2.9%
1 127
 
2.9%
Other values (194) 2126
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2505
58.0%
Space Separator 727
 
16.8%
Decimal Number 646
 
15.0%
Other Punctuation 152
 
3.5%
Close Punctuation 127
 
2.9%
Open Punctuation 127
 
2.9%
Dash Punctuation 19
 
0.4%
Uppercase Letter 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 338
 
13.5%
초 198
 
7.9%
동 140
 
5.6%
로 129
 
5.1%
울 128
 
5.1%
시 127
 
5.1%
특 126
 
5.0%
별 126
 
5.0%
구 126
 
5.0%
층 90
 
3.6%
Other values (166) 977
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
K 1
 
6.2%
M 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%
W 1
 
6.2%
O 1
 
6.2%
T 1
 
6.2%
V 1
 
6.2%
A 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
1 127
19.7%
3 99
15.3%
2 92
14.2%
4 71
11.0%
5 67
10.4%
0 50
 
7.7%
6 38
 
5.9%
7 38
 
5.9%
8 33
 
5.1%
9 31
 
4.8%
Space Separator
ValueCountFrequency (%)
727
100.0%
Other Punctuation
ValueCountFrequency (%)
, 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2505
58.0%
Common 1798
41.6%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 338
 
13.5%
초 198
 
7.9%
동 140
 
5.6%
로 129
 
5.1%
울 128
 
5.1%
시 127
 
5.1%
특 126
 
5.0%
별 126
 
5.0%
구 126
 
5.0%
층 90
 
3.6%
Other values (166) 977
39.0%
Common
ValueCountFrequency (%)
727
40.4%
, 152
 
8.5%
) 127
 
7.1%
1 127
 
7.1%
( 127
 
7.1%
3 99
 
5.5%
2 92
 
5.1%
4 71
 
3.9%
5 67
 
3.7%
0 50
 
2.8%
Other values (5) 159
 
8.8%
Latin
ValueCountFrequency (%)
B 4
25.0%
K 1
 
6.2%
M 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%
W 1
 
6.2%
O 1
 
6.2%
T 1
 
6.2%
V 1
 
6.2%
A 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2505
58.0%
ASCII 1814
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
40.1%
, 152
 
8.4%
) 127
 
7.0%
1 127
 
7.0%
( 127
 
7.0%
3 99
 
5.5%
2 92
 
5.1%
4 71
 
3.9%
5 67
 
3.7%
0 50
 
2.8%
Other values (18) 175
 
9.6%
Hangul
ValueCountFrequency (%)
서 338
 
13.5%
초 198
 
7.9%
동 140
 
5.6%
로 129
 
5.1%
울 128
 
5.1%
시 127
 
5.1%
특 126
 
5.0%
별 126
 
5.0%
구 126
 
5.0%
층 90
 
3.6%
Other values (166) 977
39.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)77.6%
Missing32
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean9326.5408
Minimum6512
Maximum137842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:35.680801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6512
5-th percentile6527
Q16585.75
median6655
Q36733.5
95-th percentile6782.15
Maximum137842
Range131330
Interquartile range (IQR)147.75

Descriptive statistics

Standard deviation18586.355
Coefficient of variation (CV)1.9928455
Kurtosis46.416044
Mean9326.5408
Median Absolute Deviation (MAD)78
Skewness6.8896632
Sum914001
Variance3.454526 × 108
MonotonicityNot monotonic
2024-05-11T14:47:36.177099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6732 4
 
3.1%
6728 3
 
2.3%
6532 3
 
2.3%
6527 2
 
1.5%
6525 2
 
1.5%
6631 2
 
1.5%
6628 2
 
1.5%
6588 2
 
1.5%
6562 2
 
1.5%
6619 2
 
1.5%
Other values (66) 74
56.9%
(Missing) 32
24.6%
ValueCountFrequency (%)
6512 1
 
0.8%
6524 1
 
0.8%
6525 2
1.5%
6527 2
1.5%
6530 2
1.5%
6531 1
 
0.8%
6532 3
2.3%
6536 1
 
0.8%
6540 1
 
0.8%
6554 1
 
0.8%
ValueCountFrequency (%)
137842 1
0.8%
137030 1
0.8%
6792 1
0.8%
6789 1
0.8%
6783 1
0.8%
6782 1
0.8%
6781 1
0.8%
6779 1
0.8%
6777 1
0.8%
6776 1
0.8%

사업장명
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:47:36.571654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length10.076923
Min length3

Characters and Unicode

Total characters1310
Distinct characters195
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

Unique128 ?
Unique (%)98.5%

Sample

1st row(주)코리아컨벤션서비스
2nd row(주)라스트커뮤니케이션
3rd row메디알(주)
4th row(주)메인커뮤니케이션
5th row(주)디웁스
ValueCountFrequency (%)
주식회사 49
 
26.5%
주)아임커뮤니케이션즈 2
 
1.1%
주)아이버스컴 1
 
0.5%
강남스터디 1
 
0.5%
하이브마케팅컴퍼니 1
 
0.5%
맥앤윕 1
 
0.5%
에이벡스 1
 
0.5%
주)좋은날지디기획 1
 
0.5%
더베어컴퍼니 1
 
0.5%
에프앤마이스(주 1
 
0.5%
Other values (126) 126
68.1%
2024-05-11T14:47:37.120370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 119
 
9.1%
) 75
 
5.7%
( 75
 
5.7%
이 66
 
5.0%
55
 
4.2%
사 51
 
3.9%
회 50
 
3.8%
식 50
 
3.8%
스 40
 
3.1%
니 34
 
2.6%
Other values (185) 695
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
82.4%
Close Punctuation 75
 
5.7%
Open Punctuation 75
 
5.7%
Space Separator 55
 
4.2%
Lowercase Letter 15
 
1.1%
Uppercase Letter 8
 
0.6%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 119
 
11.0%
이 66
 
6.1%
사 51
 
4.7%
회 50
 
4.6%
식 50
 
4.6%
스 40
 
3.7%
니 34
 
3.1%
케 30
 
2.8%
커 24
 
2.2%
션 24
 
2.2%
Other values (165) 592
54.8%
Lowercase Letter
ValueCountFrequency (%)
r 3
20.0%
i 2
13.3%
p 2
13.3%
e 2
13.3%
m 2
13.3%
o 1
 
6.7%
s 1
 
6.7%
n 1
 
6.7%
h 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
I 2
25.0%
T 1
12.5%
G 1
12.5%
M 1
12.5%
E 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
82.4%
Common 207
 
15.8%
Latin 23
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 119
 
11.0%
이 66
 
6.1%
사 51
 
4.7%
회 50
 
4.6%
식 50
 
4.6%
스 40
 
3.7%
니 34
 
3.1%
케 30
 
2.8%
커 24
 
2.2%
션 24
 
2.2%
Other values (165) 592
54.8%
Latin
ValueCountFrequency (%)
r 3
13.0%
i 2
 
8.7%
C 2
 
8.7%
I 2
 
8.7%
p 2
 
8.7%
e 2
 
8.7%
m 2
 
8.7%
T 1
 
4.3%
o 1
 
4.3%
s 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
) 75
36.2%
( 75
36.2%
55
26.6%
. 1
 
0.5%
+ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
82.4%
ASCII 230
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 119
 
11.0%
이 66
 
6.1%
사 51
 
4.7%
회 50
 
4.6%
식 50
 
4.6%
스 40
 
3.7%
니 34
 
3.1%
케 30
 
2.8%
커 24
 
2.2%
션 24
 
2.2%
Other values (165) 592
54.8%
ASCII
ValueCountFrequency (%)
) 75
32.6%
( 75
32.6%
55
23.9%
r 3
 
1.3%
i 2
 
0.9%
C 2
 
0.9%
I 2
 
0.9%
p 2
 
0.9%
e 2
 
0.9%
m 2
 
0.9%
Other values (10) 10
 
4.3%

최종수정일자
Date

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2006-03-27 17:43:51
Maximum2024-05-01 11:08:49
2024-05-11T14:47:37.374636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:37.582638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
82 
U
48 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
63.1%
U 48
36.9%

Length

2024-05-11T14:47:37.765610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:37.932618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
63.1%
u 48
36.9%

데이터갱신일자
Date

Distinct73
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:47:38.103963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:38.307560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct120
Distinct (%)93.0%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean201473.78
Minimum197246.43
Maximum204272.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:38.528982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197246.43
5-th percentile198744.55
Q1200611.4
median201541.78
Q3202538.68
95-th percentile203929.72
Maximum204272.22
Range7025.7885
Interquartile range (IQR)1927.2792

Descriptive statistics

Standard deviation1600.0421
Coefficient of variation (CV)0.0079416889
Kurtosis-0.61788404
Mean201473.78
Median Absolute Deviation (MAD)994.73461
Skewness-0.28298107
Sum25990118
Variance2560134.7
MonotonicityNot monotonic
2024-05-11T14:47:38.764540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202481.100650586 4
 
3.1%
202508.646065919 3
 
2.3%
200642.013992918 2
 
1.5%
199122.603827315 2
 
1.5%
199643.692624093 2
 
1.5%
200887.271929994 2
 
1.5%
201475.234465042 1
 
0.8%
203974.015074827 1
 
0.8%
198644.66834098 1
 
0.8%
203204.755637424 1
 
0.8%
Other values (110) 110
84.6%
ValueCountFrequency (%)
197246.42669319 1
0.8%
198374.818173024 1
0.8%
198391.007333333 1
0.8%
198527.865526023 1
0.8%
198594.840917197 1
0.8%
198644.66834098 1
0.8%
198705.823156313 1
0.8%
198802.645602586 1
0.8%
198836.324746887 1
0.8%
198883.848614292 1
0.8%
ValueCountFrequency (%)
204272.215162298 1
0.8%
204265.41 1
0.8%
204160.25625842 1
0.8%
204072.005641837 1
0.8%
204051.241272766 1
0.8%
203974.015074827 1
0.8%
203972.386020373 1
0.8%
203865.709970943 1
0.8%
203815.158120415 1
0.8%
203738.426967221 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct120
Distinct (%)93.0%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean442964.27
Minimum440136.78
Maximum449070.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:39.005564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440136.78
5-th percentile440933.93
Q1442157.72
median442790.94
Q3443479.89
95-th percentile445778.48
Maximum449070.43
Range8933.6443
Interquartile range (IQR)1322.1779

Descriptive statistics

Standard deviation1469.3896
Coefficient of variation (CV)0.0033171742
Kurtosis1.7136431
Mean442964.27
Median Absolute Deviation (MAD)655.18294
Skewness0.97090884
Sum57142391
Variance2159105.9
MonotonicityNot monotonic
2024-05-11T14:47:39.259499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442840.611735386 4
 
3.1%
442625.413940559 3
 
2.3%
441879.687320882 2
 
1.5%
443262.763642773 2
 
1.5%
442231.961059155 2
 
1.5%
443044.729511996 2
 
1.5%
445825.729356398 1
 
0.8%
440314.956281442 1
 
0.8%
441999.15109031 1
 
0.8%
440136.781183797 1
 
0.8%
Other values (110) 110
84.6%
ValueCountFrequency (%)
440136.781183797 1
0.8%
440303.490253141 1
0.8%
440314.956281442 1
0.8%
440696.885767062 1
0.8%
440753.993971457 1
0.8%
440854.11294993 1
0.8%
440914.042638404 1
0.8%
440963.759050916 1
0.8%
441005.314835108 1
0.8%
441019.955686197 1
0.8%
ValueCountFrequency (%)
449070.425442892 1
0.8%
446150.216745339 1
0.8%
446041.940329826 1
0.8%
445960.835289042 1
0.8%
445947.240636026 1
0.8%
445946.899831444 1
0.8%
445825.729356398 1
0.8%
445707.597252833 1
0.8%
445663.52632151 1
0.8%
445589.15064668 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
국제회의기획업
79 
<NA>
51 

Length

Max length7
Median length7
Mean length5.8230769
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 79
60.8%
<NA> 51
39.2%

Length

2024-05-11T14:47:39.552951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:39.811986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 79
60.8%
na 51
39.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
관광사업
26 

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> 104
80.0%
관광사업 26
 
20.0%

Length

2024-05-11T14:47:39.976049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.118439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
80.0%
관광사업 26
 
20.0%

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
일반주거지역
 
4
일반상업지역
 
2
준공업지역
 
1

Length

Max length6
Median length4
Mean length4.1
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 123
94.6%
일반주거지역 4
 
3.1%
일반상업지역 2
 
1.5%
준공업지역 1
 
0.8%

Length

2024-05-11T14:47:40.291069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.493572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
94.6%
일반주거지역 4
 
3.1%
일반상업지역 2
 
1.5%
준공업지역 1
 
0.8%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
124 
0
 
5
23
 
1

Length

Max length4
Median length4
Mean length3.8692308
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
95.4%
0 5
 
3.8%
23 1
 
0.8%

Length

2024-05-11T14:47:40.706033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.868220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
95.4%
0 5
 
3.8%
23 1
 
0.8%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing128
Missing (%)98.5%
Memory size1.1 KiB
2024-05-11T14:47:41.037721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters6
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 row주택가주변
2nd row기타
ValueCountFrequency (%)
주택가주변 1
50.0%
기타 1
50.0%
2024-05-11T14:47:41.445863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
120 
근린생활시설
 
5
사무실
 
4
기타
 
1

Length

Max length6
Median length4
Mean length4.0307692
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 120
92.3%
근린생활시설 5
 
3.8%
사무실 4
 
3.1%
기타 1
 
0.8%

Length

2024-05-11T14:47:41.688721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:41.945492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
92.3%
근린생활시설 5
 
3.8%
사무실 4
 
3.1%
기타 1
 
0.8%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
5
20
 
1
5
 
1
18
 
1

Length

Max length4
Median length4
Mean length3.8307692
Min length1

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
93.8%
0 5
 
3.8%
20 1
 
0.8%
5 1
 
0.8%
18 1
 
0.8%

Length

2024-05-11T14:47:42.161441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:42.330474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
93.8%
0 5
 
3.8%
20 1
 
0.8%
5 1
 
0.8%
18 1
 
0.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
124 
0
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.8615385
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
95.4%
0 5
 
3.8%
3 1
 
0.8%

Length

2024-05-11T14:47:42.500219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:42.647470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
95.4%
0 5
 
3.8%
3 1
 
0.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:42.819571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:42.951103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:43.085282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:43.269505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

영문상호명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing110
Missing (%)84.6%
Memory size1.1 KiB
2024-05-11T14:47:43.495525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length23
Mean length19.15
Min length5

Characters and Unicode

Total characters383
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st rowFM COMMUNICATIONS. INC
2nd rowEz pmp Co., Ltd.
3rd rowThe Plan Co
4th rowInternational Exchange Promotion Association
5th rowArirang TV Media
ValueCountFrequency (%)
co 10
 
15.9%
ltd 9
 
14.3%
co.,ltd 3
 
4.8%
company 2
 
3.2%
the 2
 
3.2%
com 1
 
1.6%
seoul 1
 
1.6%
speakers 1
 
1.6%
bureau 1
 
1.6%
anytour 1
 
1.6%
Other values (32) 32
50.8%
2024-05-11T14:47:43.991901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
11.2%
. 27
 
7.0%
o 26
 
6.8%
C 22
 
5.7%
t 17
 
4.4%
L 15
 
3.9%
d 15
 
3.9%
n 13
 
3.4%
, 13
 
3.4%
O 13
 
3.4%
Other values (39) 179
46.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 149
38.9%
Uppercase Letter 149
38.9%
Space Separator 43
 
11.2%
Other Punctuation 42
 
11.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 26
17.4%
t 17
11.4%
d 15
10.1%
n 13
8.7%
e 12
8.1%
a 10
 
6.7%
i 9
 
6.0%
r 8
 
5.4%
l 7
 
4.7%
u 5
 
3.4%
Other values (13) 27
18.1%
Uppercase Letter
ValueCountFrequency (%)
C 22
14.8%
L 15
10.1%
O 13
 
8.7%
A 12
 
8.1%
M 12
 
8.1%
N 9
 
6.0%
E 9
 
6.0%
D 7
 
4.7%
T 7
 
4.7%
I 6
 
4.0%
Other values (12) 37
24.8%
Other Punctuation
ValueCountFrequency (%)
. 27
64.3%
, 13
31.0%
& 2
 
4.8%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 298
77.8%
Common 85
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 26
 
8.7%
C 22
 
7.4%
t 17
 
5.7%
L 15
 
5.0%
d 15
 
5.0%
n 13
 
4.4%
O 13
 
4.4%
A 12
 
4.0%
M 12
 
4.0%
e 12
 
4.0%
Other values (35) 141
47.3%
Common
ValueCountFrequency (%)
43
50.6%
. 27
31.8%
, 13
 
15.3%
& 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
 
11.2%
. 27
 
7.0%
o 26
 
6.8%
C 22
 
5.7%
t 17
 
4.4%
L 15
 
3.9%
d 15
 
3.9%
n 13
 
3.4%
, 13
 
3.4%
O 13
 
3.4%
Other values (39) 179
46.7%

영문상호주소
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
111 
PROFESSIONAL CONGRESS ORGANIZER
16 
PROFESSIONAL CONGRESS ORGANIZER
 
1
PROFESSIONNAL CONGRESS ORGANIZER
 
1
Prefessional Congress Organizer
 
1

Length

Max length33
Median length4
Mean length7.9692308
Min length4

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 111
85.4%
PROFESSIONAL CONGRESS ORGANIZER 16
 
12.3%
PROFESSIONAL CONGRESS ORGANIZER 1
 
0.8%
PROFESSIONNAL CONGRESS ORGANIZER 1
 
0.8%
Prefessional Congress Organizer 1
 
0.8%

Length

2024-05-11T14:47:44.183529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:44.412071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
66.1%
congress 19
 
11.3%
organizer 19
 
11.3%
professional 17
 
10.1%
professionnal 1
 
0.6%
prefessional 1
 
0.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:44.575125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:44.696497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:44.829150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:44.943197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:45.091168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:45.235915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:45.363404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:45.481285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:45.630117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:45.764930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing118
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean102.62667
Minimum0
Maximum390
Zeros5
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:45.875465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3207.7125
95-th percentile328.796
Maximum390
Range390
Interquartile range (IQR)207.7125

Descriptive statistics

Standard deviation137.47091
Coefficient of variation (CV)1.3395243
Kurtosis-0.16854591
Mean102.62667
Median Absolute Deviation (MAD)7
Skewness1.0252933
Sum1231.52
Variance18898.252
MonotonicityNot monotonic
2024-05-11T14:47:46.016327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 5
 
3.8%
131.85 1
 
0.8%
278.72 1
 
0.8%
1.0 1
 
0.8%
390.0 1
 
0.8%
206.95 1
 
0.8%
210.0 1
 
0.8%
13.0 1
 
0.8%
(Missing) 118
90.8%
ValueCountFrequency (%)
0.0 5
3.8%
1.0 1
 
0.8%
13.0 1
 
0.8%
131.85 1
 
0.8%
206.95 1
 
0.8%
210.0 1
 
0.8%
278.72 1
 
0.8%
390.0 1
 
0.8%
ValueCountFrequency (%)
390.0 1
 
0.8%
278.72 1
 
0.8%
210.0 1
 
0.8%
206.95 1
 
0.8%
131.85 1
 
0.8%
13.0 1
 
0.8%
1.0 1
 
0.8%
0.0 5
3.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
5

Length

Max length4
Median length4
Mean length3.8846154
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> 125
96.2%
0 5
 
3.8%

Length

2024-05-11T14:47:46.174283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:46.291010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 5
 
3.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

자본금
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)55.0%
Missing70
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean2.1380187 × 109
Minimum50000000
Maximum1.0907273 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:46.809761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile50000000
Q157000000
median1.111947 × 108
Q33.0582729 × 108
95-th percentile2.0134564 × 109
Maximum1.0907273 × 1011
Range1.0902273 × 1011
Interquartile range (IQR)2.4882729 × 108

Descriptive statistics

Standard deviation1.4049495 × 1010
Coefficient of variation (CV)6.5712687
Kurtosis59.815154
Mean2.1380187 × 109
Median Absolute Deviation (MAD)61194698
Skewness7.7285344
Sum1.2828112 × 1011
Variance1.9738832 × 1020
MonotonicityNot monotonic
2024-05-11T14:47:47.076613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
50000000 14
 
10.8%
100000000 9
 
6.9%
150000000 3
 
2.3%
200000000 3
 
2.3%
60000000 2
 
1.5%
400000000 2
 
1.5%
141000000 1
 
0.8%
69366113 1
 
0.8%
99647299 1
 
0.8%
2303641771 1
 
0.8%
Other values (23) 23
 
17.7%
(Missing) 70
53.8%
ValueCountFrequency (%)
50000000 14
10.8%
54000000 1
 
0.8%
58000000 1
 
0.8%
60000000 2
 
1.5%
69366113 1
 
0.8%
73000000 1
 
0.8%
99647299 1
 
0.8%
100000000 9
6.9%
122389396 1
 
0.8%
141000000 1
 
0.8%
ValueCountFrequency (%)
109072734745 1
0.8%
2682000000 1
0.8%
2303641771 1
0.8%
1998183525 1
0.8%
1495066062 1
0.8%
1018722787 1
0.8%
841708462 1
0.8%
819860021 1
0.8%
600000000 1
0.8%
527757401 1
0.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing118
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean102.66667
Minimum0
Maximum390
Zeros5
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:47:47.233043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3207.75
95-th percentile328.95
Maximum390
Range390
Interquartile range (IQR)207.75

Descriptive statistics

Standard deviation137.50989
Coefficient of variation (CV)1.339382
Kurtosis-0.17184021
Mean102.66667
Median Absolute Deviation (MAD)7
Skewness1.0245538
Sum1232
Variance18908.97
MonotonicityNot monotonic
2024-05-11T14:47:47.436611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 5
 
3.8%
132 1
 
0.8%
279 1
 
0.8%
1 1
 
0.8%
390 1
 
0.8%
207 1
 
0.8%
210 1
 
0.8%
13 1
 
0.8%
(Missing) 118
90.8%
ValueCountFrequency (%)
0 5
3.8%
1 1
 
0.8%
13 1
 
0.8%
132 1
 
0.8%
207 1
 
0.8%
210 1
 
0.8%
279 1
 
0.8%
390 1
 
0.8%
ValueCountFrequency (%)
390 1
 
0.8%
279 1
 
0.8%
210 1
 
0.8%
207 1
 
0.8%
132 1
 
0.8%
13 1
 
0.8%
1 1
 
0.8%
0 5
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03210000CDFI226310198900000119890705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3476-7700<NA><NA>서울특별시 서초구 서초동 1337 강남미래타워서울특별시 서초구 사임당로 174, 강남미래타워 1103호 (서초동)6627(주)코리아컨벤션서비스2022-02-25 15:55:54U2022-02-27 02:40:00.0<NA>202463.85951443356.365859국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
13210000CDFI226310199900000319990120<NA>3폐업3폐업20080617<NA><NA><NA><NA><NA>137869서울특별시 서초구 서초동 1485-8서울특별시 서초구 효령로 238 (서초동)<NA>(주)라스트커뮤니케이션2008-06-17 14:38:09I2018-08-31 23:59:59.0<NA>200836.363398442374.547147국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>250000000<NA><NA><NA><NA>
23210000CDFI226310199900000419991129<NA>1영업/정상13영업중<NA><NA><NA><NA>589-1584<NA>137130서울특별시 서초구 양재동 275-1 삼호물산빌딩 A동 818호서울특별시 서초구 논현로 83, A동 818호 (양재동,삼호물산빌딩)<NA>메디알(주)2007-12-11 15:33:13I2018-08-31 23:59:59.0<NA>203865.709971441674.893878국제회의기획업관광사업<NA><NA><NA><NA><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>
33210000CDFI226310199900000519991222<NA>1영업/정상13영업중<NA><NA><NA><NA>598-8056<NA>137868서울특별시 서초구 서초동 1472-16 우일빌딩3층서울특별시 서초구 반포대로5길 25 (서초동,우일빌딩3층)<NA>(주)메인커뮤니케이션2007-12-11 15:35:08I2018-08-31 23:59:59.0<NA>200843.048671442157.71699국제회의기획업관광사업<NA><NA><NA><NA><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>
43210000CDFI226310200000000120000811<NA>1영업/정상13영업중<NA><NA><NA><NA>577-4063<NA>137889서울특별시 서초구 양재동 67-5서울특별시 서초구 강남대로27길 7-15 (양재동)<NA>(주)디웁스2007-12-11 15:36:13I2018-08-31 23:59:59.0<NA>203291.098836441824.477174국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA>
53210000CDFI226310200200000120021128<NA>1영업/정상14전입<NA><NA><NA><NA>02-793-0465<NA>140133서울특별시 용산구 청파동3가 34 1층서울특별시 용산구 청파로43가길 4 (청파동3가,1층)<NA>(주)아임커뮤니케이션즈2009-10-06 16:17:47I2018-08-31 23:59:59.0<NA>197246.426693449070.425443국제회의기획업<NA>일반상업지역<NA><NA><NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
63210000CDFI226310200300000120030818<NA>1영업/정상13영업중<NA><NA><NA><NA>598-9898<NA>137875서울특별시 서초구 서초동 1579-4 코랜드빌딩 3층서울특별시 서초구 서초대로50길 104 (서초동,코랜드빌딩 3층)<NA>네오다임(주)2006-03-27 17:43:51I2018-08-31 23:59:59.0<NA>201143.501025442930.332161국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA>
73210000CDFI226310200300000420031031<NA>1영업/정상13영업중<NA><NA><NA><NA>566-5300<NA>137896서울특별시 서초구 양재동 318-3서울특별시 서초구 강남대로12길 31 (양재동)<NA>(주)피피더블유코리아2007-12-11 15:37:54I2018-08-31 23:59:59.0<NA>203517.947242440914.042638국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA><NA>
83210000CDFI226310200300000520030304<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3498-0800<NA>137873서울특별시 서초구 서초동 1560-1서울특별시 서초구 반포대로22길 34 (서초동)<NA>(주)에프엠커뮤니케이션즈2015-04-16 11:35:52I2018-08-31 23:59:59.0<NA>200887.27193443044.729512국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>FM COMMUNICATIONS. INCPROFESSIONAL CONGRESS ORGANIZER<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
93210000CDFI226310200400000120040802<NA>3폐업3폐업20071015<NA><NA><NA>586-6886<NA>137953서울특별시 서초구 서초동 1601-1 서초브이샤르망빌딩 305호서울특별시 서초구 효령로55길 28, 305호 (서초동,서초브이샤르망빌딩)<NA>(주)리더스메이트2007-10-15 11:19:24I2018-08-31 23:59:59.0<NA>201213.927033442658.693997국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1203210000CDFI22631020230000142019-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 14-16 금산빌딩서울특별시 서초구 나루터로 75, 금산빌딩 207호 (잠원동)6525이스타일엘엠씨코리아 주식회사2023-11-14 15:36:07I2022-10-31 23:06:00.0<NA>201520.254586445960.835289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213210000CDFI22631020230000152023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1429-8서울특별시 서초구 남부순환로333길 10, 원일빌딩 304호 (서초동)6725주식회사 더쏠2023-11-24 09:22:15I2022-10-31 22:06:00.0<NA>201736.623099442334.157183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223210000CDFI22631020230000162015-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6401-9711<NA><NA>서울특별시 서초구 방배동 873-29 대한전광사옥서울특별시 서초구 방배로25길 17, 대한전광사옥 501호 (방배동)6573엠일레븐커뮤니케이션2023-11-24 10:59:15I2022-10-31 22:06:00.0<NA>199209.57307442899.038455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233210000CDFI22631020240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8983-5876<NA><NA>서울특별시 서초구 서초동 1365-7 애서니움빌딩 420호서울특별시 서초구 강남대로37길 49, 애서니움빌딩 4층 420호 (서초동)6734주식회사 레아스타2024-01-17 11:36:02I2023-11-30 23:09:00.0<NA>202663.207573442495.141677<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243210000CDFI22631020240000022024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3453-5131<NA><NA>서울특별시 서초구 잠원동 41-7 은빌딩서울특별시 서초구 신반포로45길 9-13, 은빌딩 (잠원동)6532넥스브레인 주식회사2024-04-26 11:03:07U2023-12-03 22:08:00.0<NA>201544.747399445385.737705<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253210000CDFI22631020240000032024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1308-7 MK빌딩 901호서울특별시 서초구 서초대로77길 39, MK빌딩 901호 (서초동)6612주식회사 레브커뮤니케이션즈2024-02-13 16:33:02U2023-12-01 23:05:00.0<NA>202143.464865444322.921686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263210000CDFI22631020240000042024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3472-0052<NA><NA>서울특별시 서초구 잠원동 14-17 라전빌딩서울특별시 서초구 나루터로 73, 라전빌딩 5층 (잠원동)6525주식회사 리브라이즈2024-02-19 11:20:56I2023-12-01 22:01:00.0<NA>201503.690567445947.240636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273210000CDFI22631020240000052024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1506-60 101호서울특별시 서초구 명달로28길 13, 101호 (서초동)6658엘에이치 컨설팅2024-02-19 12:06:44I2023-12-01 22:01:00.0<NA>200393.712402442856.157451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283210000CDFI22631020240000062024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1638-3 한국자동차산업협동조합 403호서울특별시 서초구 서초대로62길 9-22, 한국자동차산업협동조합 403층 (서초동)6631주식회사 오름씨앤엔2024-03-15 10:34:21I2023-12-02 23:07:00.0<NA>201740.905199443633.733781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293210000CDFI22631020240000072024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-4041<NA><NA>서울특별시 서초구 서초동 1451-78서울특별시 서초구 반포대로 10, 4층 (서초동)6719주식회사 아리수코리아디엠씨2024-04-26 11:04:54I2023-12-03 22:08:00.0<NA>201079.001012442162.901969<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>