Overview

Dataset statistics

Number of variables60
Number of observations88
Missing cells2324
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory523.5 B

Variable types

Categorical22
Text8
DateTime4
Unsupported22
Numeric4

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17185/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
문화사업자구분명 is highly imbalanced (59.9%)Imbalance
영문상호주소 is highly imbalanced (76.7%)Imbalance
인허가취소일자 has 88 (100.0%) missing valuesMissing
폐업일자 has 73 (83.0%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
전화번호 has 16 (18.2%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 69 (78.4%) missing valuesMissing
도로명주소 has 2 (2.3%) missing valuesMissing
도로명우편번호 has 10 (11.4%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.3%) missing valuesMissing
좌표정보(Y) has 2 (2.3%) missing valuesMissing
지역구분명 has 88 (100.0%) missing valuesMissing
주변환경명 has 88 (100.0%) missing valuesMissing
제작취급품목내용 has 88 (100.0%) missing valuesMissing
보험기관명 has 88 (100.0%) missing valuesMissing
건물용도명 has 87 (98.9%) missing valuesMissing
영문상호명 has 83 (94.3%) missing valuesMissing
선박제원 has 88 (100.0%) missing valuesMissing
기념품종류 has 88 (100.0%) missing valuesMissing
놀이기구수내역 has 88 (100.0%) missing valuesMissing
방송시설유무 has 88 (100.0%) missing valuesMissing
발전시설유무 has 88 (100.0%) missing valuesMissing
의무실유무 has 88 (100.0%) missing valuesMissing
안내소유무 has 88 (100.0%) missing valuesMissing
기획여행보험시작일자 has 88 (100.0%) missing valuesMissing
기획여행보험종료일자 has 88 (100.0%) missing valuesMissing
자본금 has 44 (50.0%) missing valuesMissing
보험시작일자 has 88 (100.0%) missing valuesMissing
보험종료일자 has 88 (100.0%) missing valuesMissing
부대시설내역 has 88 (100.0%) 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
자본금 has 13 (14.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:31:53.144430
Analysis finished2024-05-11 05:31:54.675032
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
3180000
88 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 88
100.0%

Length

2024-05-11T14:31:54.903832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:55.202356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 88
100.0%

관리번호
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T14:31:55.703660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1760
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

Unique88 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101989000001
2nd rowCDFI2263102006000002
3rd rowCDFI2263102008000001
4th rowCDFI2263102008000002
5th rowCDFI2263102008000003
ValueCountFrequency (%)
cdfi2263101989000001 1
 
1.1%
cdfi2263102006000002 1
 
1.1%
cdfi2263102022000005 1
 
1.1%
cdfi2263102022000004 1
 
1.1%
cdfi2263102022000003 1
 
1.1%
cdfi2263102022000002 1
 
1.1%
cdfi2263102022000001 1
 
1.1%
cdfi2263102021000005 1
 
1.1%
cdfi2263102021000004 1
 
1.1%
cdfi2263102021000003 1
 
1.1%
Other values (78) 78
88.6%
2024-05-11T14:31:56.633456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 631
35.9%
2 336
19.1%
1 155
 
8.8%
3 122
 
6.9%
6 97
 
5.5%
C 88
 
5.0%
D 88
 
5.0%
F 88
 
5.0%
I 88
 
5.0%
4 18
 
1.0%
Other values (4) 49
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1408
80.0%
Uppercase Letter 352
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 631
44.8%
2 336
23.9%
1 155
 
11.0%
3 122
 
8.7%
6 97
 
6.9%
4 18
 
1.3%
8 14
 
1.0%
9 13
 
0.9%
5 13
 
0.9%
7 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 88
25.0%
D 88
25.0%
F 88
25.0%
I 88
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1408
80.0%
Latin 352
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 631
44.8%
2 336
23.9%
1 155
 
11.0%
3 122
 
8.7%
6 97
 
6.9%
4 18
 
1.3%
8 14
 
1.0%
9 13
 
0.9%
5 13
 
0.9%
7 9
 
0.6%
Latin
ValueCountFrequency (%)
C 88
25.0%
D 88
25.0%
F 88
25.0%
I 88
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 631
35.9%
2 336
19.1%
1 155
 
8.8%
3 122
 
6.9%
6 97
 
5.5%
C 88
 
5.0%
D 88
 
5.0%
F 88
 
5.0%
I 88
 
5.0%
4 18
 
1.0%
Other values (4) 49
 
2.8%

인허가일자
Date

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1989-08-07 00:00:00
Maximum2024-03-21 00:00:00
2024-05-11T14:31:56.915604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:57.280344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
1
72 
3
8 
5
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 72
81.8%
3 8
 
9.1%
5 8
 
9.1%

Length

2024-05-11T14:31:57.632690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:57.861740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
81.8%
3 8
 
9.1%
5 8
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업/정상
72 
폐업
8 
제외/삭제/전출
8 

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 72
81.8%
폐업 8
 
9.1%
제외/삭제/전출 8
 
9.1%

Length

2024-05-11T14:31:58.121529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:58.352163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 72
81.8%
폐업 8
 
9.1%
제외/삭제/전출 8
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
13
72 
3
8 
15
8 

Length

Max length2
Median length2
Mean length1.9090909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 72
81.8%
3 8
 
9.1%
15 8
 
9.1%

Length

2024-05-11T14:31:58.573634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:58.750408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 72
81.8%
3 8
 
9.1%
15 8
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업중
72 
폐업
8 
전출
8 

Length

Max length3
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 72
81.8%
폐업 8
 
9.1%
전출 8
 
9.1%

Length

2024-05-11T14:31:58.928640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:59.090711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 72
81.8%
폐업 8
 
9.1%
전출 8
 
9.1%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing73
Missing (%)83.0%
Memory size836.0 B
Minimum2014-12-17 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:31:59.238843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:59.403875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전화번호
Text

MISSING 

Distinct70
Distinct (%)97.2%
Missing16
Missing (%)18.2%
Memory size836.0 B
2024-05-11T14:31:59.853508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.055556
Min length8

Characters and Unicode

Total characters796
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

Unique68 ?
Unique (%)94.4%

Sample

1st row6337-6338
2nd row3439-0500
3rd row784-2542
4th row761-2512
5th row02-515-5276
ValueCountFrequency (%)
02-578-0223 2
 
2.7%
02-780-8821 2
 
2.7%
02-2068-1170 1
 
1.4%
02-2262-7373 1
 
1.4%
02-6953-5090 1
 
1.4%
070-8884-6000 1
 
1.4%
02-6953-9010 1
 
1.4%
02-515-0060 1
 
1.4%
070-8098-0526 1
 
1.4%
027691102 1
 
1.4%
Other values (62) 62
83.8%
2024-05-11T14:32:00.617793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 132
16.6%
- 122
15.3%
2 114
14.3%
7 73
9.2%
3 63
7.9%
8 59
7.4%
6 57
7.2%
1 55
6.9%
5 54
6.8%
9 34
 
4.3%
Other values (3) 33
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
84.2%
Dash Punctuation 122
 
15.3%
Space Separator 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
19.7%
2 114
17.0%
7 73
10.9%
3 63
9.4%
8 59
8.8%
6 57
8.5%
1 55
8.2%
5 54
8.1%
9 34
 
5.1%
4 29
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 132
16.6%
- 122
15.3%
2 114
14.3%
7 73
9.2%
3 63
7.9%
8 59
7.4%
6 57
7.2%
1 55
6.9%
5 54
6.8%
9 34
 
4.3%
Other values (3) 33
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 132
16.6%
- 122
15.3%
2 114
14.3%
7 73
9.2%
3 63
7.9%
8 59
7.4%
6 57
7.2%
1 55
6.9%
5 54
6.8%
9 34
 
4.3%
Other values (3) 33
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Text

MISSING 

Distinct14
Distinct (%)73.7%
Missing69
Missing (%)78.4%
Memory size836.0 B
2024-05-11T14:32:00.878551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1052632
Min length6

Characters and Unicode

Total characters116
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)63.2%

Sample

1st row150732
2nd row150972
3rd row150886
4th row150730
5th row150010
ValueCountFrequency (%)
150010 5
26.3%
150890 2
 
10.5%
150732 1
 
5.3%
150972 1
 
5.3%
150886 1
 
5.3%
150730 1
 
5.3%
150095 1
 
5.3%
150-803 1
 
5.3%
150733 1
 
5.3%
150968 1
 
5.3%
Other values (4) 4
21.1%
2024-05-11T14:32:01.343172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
31.9%
1 24
20.7%
5 21
18.1%
8 7
 
6.0%
3 6
 
5.2%
9 5
 
4.3%
7 4
 
3.4%
6 4
 
3.4%
4 4
 
3.4%
2 2
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
98.3%
Dash Punctuation 2
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
32.5%
1 24
21.1%
5 21
18.4%
8 7
 
6.1%
3 6
 
5.3%
9 5
 
4.4%
7 4
 
3.5%
6 4
 
3.5%
4 4
 
3.5%
2 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
31.9%
1 24
20.7%
5 21
18.1%
8 7
 
6.0%
3 6
 
5.2%
9 5
 
4.3%
7 4
 
3.4%
6 4
 
3.4%
4 4
 
3.4%
2 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
31.9%
1 24
20.7%
5 21
18.1%
8 7
 
6.0%
3 6
 
5.2%
9 5
 
4.3%
7 4
 
3.4%
6 4
 
3.4%
4 4
 
3.4%
2 2
 
1.7%

지번주소
Text

Distinct77
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T14:32:01.821037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length29.840909
Min length16

Characters and Unicode

Total characters2626
Distinct characters165
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

Unique70 ?
Unique (%)79.5%

Sample

1st row서울특별시 영등포구 대림동 685-1
2nd row서울특별시 영등포구 여의도동 61-4 라이프콤비빌딩 1118호
3rd row서울특별시 영등포구 문래동3가 54-66 에이스하이테크시티 1동 1009호
4th row서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티 1동 1105호
5th row서울특별시 영등포구 여의도동 36-2 맨하탄빌딩 1116호
ValueCountFrequency (%)
서울특별시 88
 
17.4%
영등포구 88
 
17.4%
여의도동 39
 
7.7%
80 9
 
1.8%
당산동4가 8
 
1.6%
sk 6
 
1.2%
v1 6
 
1.2%
center 6
 
1.2%
양평동4가 6
 
1.2%
양평동5가 5
 
1.0%
Other values (182) 244
48.3%
2024-05-11T14:32:02.589771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
16.9%
영 99
 
3.8%
동 97
 
3.7%
포 96
 
3.7%
등 95
 
3.6%
시 94
 
3.6%
서 92
 
3.5%
1 91
 
3.5%
별 89
 
3.4%
울 89
 
3.4%
Other values (155) 1339
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1628
62.0%
Space Separator 445
 
16.9%
Decimal Number 428
 
16.3%
Dash Punctuation 56
 
2.1%
Lowercase Letter 36
 
1.4%
Uppercase Letter 31
 
1.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 99
 
6.1%
동 97
 
6.0%
포 96
 
5.9%
등 95
 
5.8%
시 94
 
5.8%
서 92
 
5.7%
별 89
 
5.5%
울 89
 
5.5%
특 88
 
5.4%
구 88
 
5.4%
Other values (129) 701
43.1%
Decimal Number
ValueCountFrequency (%)
1 91
21.3%
4 59
13.8%
2 49
11.4%
5 48
11.2%
0 47
11.0%
3 38
8.9%
6 33
 
7.7%
8 26
 
6.1%
9 22
 
5.1%
7 15
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
K 7
22.6%
S 7
22.6%
V 6
19.4%
B 4
12.9%
M 3
9.7%
C 3
9.7%
A 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
33.3%
t 6
16.7%
c 6
16.7%
r 6
16.7%
n 6
16.7%
Space Separator
ValueCountFrequency (%)
445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1628
62.0%
Common 931
35.5%
Latin 67
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 99
 
6.1%
동 97
 
6.0%
포 96
 
5.9%
등 95
 
5.8%
시 94
 
5.8%
서 92
 
5.7%
별 89
 
5.5%
울 89
 
5.5%
특 88
 
5.4%
구 88
 
5.4%
Other values (129) 701
43.1%
Common
ValueCountFrequency (%)
445
47.8%
1 91
 
9.8%
4 59
 
6.3%
- 56
 
6.0%
2 49
 
5.3%
5 48
 
5.2%
0 47
 
5.0%
3 38
 
4.1%
6 33
 
3.5%
8 26
 
2.8%
Other values (4) 39
 
4.2%
Latin
ValueCountFrequency (%)
e 12
17.9%
K 7
10.4%
S 7
10.4%
t 6
9.0%
c 6
9.0%
V 6
9.0%
r 6
9.0%
n 6
9.0%
B 4
 
6.0%
M 3
 
4.5%
Other values (2) 4
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1628
62.0%
ASCII 998
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
44.6%
1 91
 
9.1%
4 59
 
5.9%
- 56
 
5.6%
2 49
 
4.9%
5 48
 
4.8%
0 47
 
4.7%
3 38
 
3.8%
6 33
 
3.3%
8 26
 
2.6%
Other values (16) 106
 
10.6%
Hangul
ValueCountFrequency (%)
영 99
 
6.1%
동 97
 
6.0%
포 96
 
5.9%
등 95
 
5.8%
시 94
 
5.8%
서 92
 
5.7%
별 89
 
5.5%
울 89
 
5.5%
특 88
 
5.4%
구 88
 
5.4%
Other values (129) 701
43.1%

도로명주소
Text

MISSING 

Distinct86
Distinct (%)100.0%
Missing2
Missing (%)2.3%
Memory size836.0 B
2024-05-11T14:32:03.126538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length42.616279
Min length26

Characters and Unicode

Total characters3665
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 대림로34마길 11 (대림동)
2nd row서울특별시 영등포구 63로 32 (여의도동,라이프콤비빌딩 1118호)
3rd row서울특별시 영등포구 경인로 775, 1동 1105호 (문래동3가,에이스하이테크시티)
4th row서울특별시 영등포구 국제금융로6길 33 (여의도동,맨하탄빌딩 1116호)
5th row서울특별시 영등포구 국회대로 661 (영등포동7가,성림빌딩)
ValueCountFrequency (%)
서울특별시 86
 
13.0%
영등포구 86
 
13.0%
여의도동 34
 
5.1%
sk 7
 
1.1%
v1 7
 
1.1%
center 7
 
1.1%
당산동4가 7
 
1.1%
11 7
 
1.1%
4층 6
 
0.9%
23 6
 
0.9%
Other values (272) 408
61.7%
2024-05-11T14:32:03.941002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
 
15.9%
1 146
 
4.0%
, 105
 
2.9%
영 104
 
2.8%
동 100
 
2.7%
포 98
 
2.7%
등 97
 
2.6%
서 92
 
2.5%
시 91
 
2.5%
0 91
 
2.5%
Other values (166) 2160
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2095
57.2%
Decimal Number 625
 
17.1%
Space Separator 581
 
15.9%
Other Punctuation 105
 
2.9%
Open Punctuation 86
 
2.3%
Close Punctuation 86
 
2.3%
Lowercase Letter 42
 
1.1%
Uppercase Letter 40
 
1.1%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 104
 
5.0%
동 100
 
4.8%
포 98
 
4.7%
등 97
 
4.6%
서 92
 
4.4%
시 91
 
4.3%
울 87
 
4.2%
구 86
 
4.1%
로 86
 
4.1%
별 86
 
4.1%
Other values (137) 1168
55.8%
Decimal Number
ValueCountFrequency (%)
1 146
23.4%
0 91
14.6%
2 68
10.9%
3 63
10.1%
4 61
9.8%
6 47
 
7.5%
7 45
 
7.2%
5 43
 
6.9%
8 34
 
5.4%
9 27
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 8
20.0%
V 8
20.0%
K 8
20.0%
B 5
12.5%
C 4
10.0%
M 3
 
7.5%
A 2
 
5.0%
E 1
 
2.5%
W 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 14
33.3%
r 7
16.7%
t 7
16.7%
n 7
16.7%
c 7
16.7%
Space Separator
ValueCountFrequency (%)
581
100.0%
Other Punctuation
ValueCountFrequency (%)
, 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2095
57.2%
Common 1488
40.6%
Latin 82
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 104
 
5.0%
동 100
 
4.8%
포 98
 
4.7%
등 97
 
4.6%
서 92
 
4.4%
시 91
 
4.3%
울 87
 
4.2%
구 86
 
4.1%
로 86
 
4.1%
별 86
 
4.1%
Other values (137) 1168
55.8%
Common
ValueCountFrequency (%)
581
39.0%
1 146
 
9.8%
, 105
 
7.1%
0 91
 
6.1%
( 86
 
5.8%
) 86
 
5.8%
2 68
 
4.6%
3 63
 
4.2%
4 61
 
4.1%
6 47
 
3.2%
Other values (5) 154
 
10.3%
Latin
ValueCountFrequency (%)
e 14
17.1%
S 8
9.8%
V 8
9.8%
K 8
9.8%
r 7
8.5%
t 7
8.5%
n 7
8.5%
c 7
8.5%
B 5
 
6.1%
C 4
 
4.9%
Other values (4) 7
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2095
57.2%
ASCII 1570
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
37.0%
1 146
 
9.3%
, 105
 
6.7%
0 91
 
5.8%
( 86
 
5.5%
) 86
 
5.5%
2 68
 
4.3%
3 63
 
4.0%
4 61
 
3.9%
6 47
 
3.0%
Other values (19) 236
15.0%
Hangul
ValueCountFrequency (%)
영 104
 
5.0%
동 100
 
4.8%
포 98
 
4.7%
등 97
 
4.6%
서 92
 
4.4%
시 91
 
4.3%
울 87
 
4.2%
구 86
 
4.1%
로 86
 
4.1%
별 86
 
4.1%
Other values (137) 1168
55.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)59.0%
Missing10
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean14612.962
Minimum7205
Maximum150890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T14:32:04.179129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7205
5-th percentile7207
Q17230.75
median7264
Q37327
95-th percentile28796.1
Maximum150890
Range143685
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation31788.111
Coefficient of variation (CV)2.1753366
Kurtosis15.613684
Mean14612.962
Median Absolute Deviation (MAD)47
Skewness4.1489303
Sum1139811
Variance1.010484 × 109
MonotonicityNot monotonic
2024-05-11T14:32:04.390583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7238 5
 
5.7%
7333 4
 
4.5%
7217 4
 
4.5%
7208 4
 
4.5%
7237 4
 
4.5%
7205 3
 
3.4%
7286 3
 
3.4%
7281 3
 
3.4%
7299 3
 
3.4%
7345 3
 
3.4%
Other values (36) 42
47.7%
(Missing) 10
 
11.4%
ValueCountFrequency (%)
7205 3
3.4%
7207 2
2.3%
7208 4
4.5%
7209 1
 
1.1%
7217 4
4.5%
7220 1
 
1.1%
7221 1
 
1.1%
7223 1
 
1.1%
7225 1
 
1.1%
7226 1
 
1.1%
ValueCountFrequency (%)
150890 1
 
1.1%
150866 1
 
1.1%
150044 1
 
1.1%
150035 1
 
1.1%
7401 1
 
1.1%
7345 3
3.4%
7335 2
2.3%
7334 1
 
1.1%
7333 4
4.5%
7332 2
2.3%

사업장명
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T14:32:04.776769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length15
Mean length10.227273
Min length3

Characters and Unicode

Total characters900
Distinct characters180
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row인터내셔널컨벤션서비스㈜
2nd row(주)제이더블유마컴
3rd row드림워커스 유한회사
4th row(주)위너지
5th row(주)한국국제전시
ValueCountFrequency (%)
주식회사 35
 
26.3%
주)아이폴플러스 2
 
1.5%
커넥터즈 1
 
0.8%
주)오션커뮤니케이션 1
 
0.8%
스윙커뮤니케이션 1
 
0.8%
pmd 1
 
0.8%
더피엠디(the 1
 
0.8%
허니컴씨엔티 1
 
0.8%
주)디노마드 1
 
0.8%
주)더감동팩토리 1
 
0.8%
Other values (88) 88
66.2%
2024-05-11T14:32:05.221312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
8.7%
( 47
 
5.2%
) 47
 
5.2%
45
 
5.0%
이 43
 
4.8%
회 39
 
4.3%
사 39
 
4.3%
식 35
 
3.9%
스 32
 
3.6%
니 17
 
1.9%
Other values (170) 478
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
81.0%
Open Punctuation 47
 
5.2%
Close Punctuation 47
 
5.2%
Space Separator 45
 
5.0%
Uppercase Letter 16
 
1.8%
Lowercase Letter 10
 
1.1%
Other Symbol 3
 
0.3%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
10.7%
이 43
 
5.9%
회 39
 
5.3%
사 39
 
5.3%
식 35
 
4.8%
스 32
 
4.4%
니 17
 
2.3%
아 17
 
2.3%
리 15
 
2.1%
션 14
 
1.9%
Other values (145) 400
54.9%
Uppercase Letter
ValueCountFrequency (%)
T 3
18.8%
D 2
12.5%
N 2
12.5%
E 2
12.5%
W 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
P 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
d 2
20.0%
h 1
10.0%
r 1
10.0%
i 1
10.0%
g 1
10.0%
t 1
10.0%
o 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
81.3%
Common 142
 
15.8%
Latin 26
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
10.7%
이 43
 
5.9%
회 39
 
5.3%
사 39
 
5.3%
식 35
 
4.8%
스 32
 
4.4%
니 17
 
2.3%
아 17
 
2.3%
리 15
 
2.0%
션 14
 
1.9%
Other values (146) 403
55.1%
Latin
ValueCountFrequency (%)
T 3
 
11.5%
e 2
 
7.7%
d 2
 
7.7%
D 2
 
7.7%
N 2
 
7.7%
E 2
 
7.7%
W 1
 
3.8%
I 1
 
3.8%
M 1
 
3.8%
P 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
( 47
33.1%
) 47
33.1%
45
31.7%
. 2
 
1.4%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
81.0%
ASCII 168
 
18.7%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
10.7%
이 43
 
5.9%
회 39
 
5.3%
사 39
 
5.3%
식 35
 
4.8%
스 32
 
4.4%
니 17
 
2.3%
아 17
 
2.3%
리 15
 
2.1%
션 14
 
1.9%
Other values (145) 400
54.9%
ASCII
ValueCountFrequency (%)
( 47
28.0%
) 47
28.0%
45
26.8%
T 3
 
1.8%
e 2
 
1.2%
d 2
 
1.2%
. 2
 
1.2%
D 2
 
1.2%
N 2
 
1.2%
E 2
 
1.2%
Other values (14) 14
 
8.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2006-09-18 10:01:29
Maximum2024-05-09 10:38:56
2024-05-11T14:32:05.874830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:06.172177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
57 
U
30 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 57
64.8%
U 30
34.1%
D 1
 
1.1%

Length

2024-05-11T14:32:06.339446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:06.480893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 57
64.8%
u 30
34.1%
d 1
 
1.1%

데이터갱신일자
Date

Distinct59
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:32:06.646167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:06.874591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)70.9%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean191995.82
Minimum189700.36
Maximum194530.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T14:32:07.109733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189700.36
5-th percentile189884.06
Q1190667.68
median191785.03
Q3193320.67
95-th percentile193815.88
Maximum194530.54
Range4830.1796
Interquartile range (IQR)2652.9971

Descriptive statistics

Standard deviation1432.956
Coefficient of variation (CV)0.0074634749
Kurtosis-1.4102865
Mean191995.82
Median Absolute Deviation (MAD)1191.1265
Skewness0.086391104
Sum16511641
Variance2053362.9
MonotonicityNot monotonic
2024-05-11T14:32:07.295777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190941.054351896 5
 
5.7%
190996.357288859 4
 
4.5%
190649.039032094 4
 
4.5%
194530.535390096 4
 
4.5%
193808.969259588 3
 
3.4%
189859.071768836 3
 
3.4%
189959.044020878 3
 
3.4%
193469.554731741 3
 
3.4%
190587.567878858 2
 
2.3%
192739.314354154 2
 
2.3%
Other values (51) 53
60.2%
ValueCountFrequency (%)
189700.355755718 1
 
1.1%
189841.054006955 1
 
1.1%
189859.071768836 3
3.4%
189959.044020878 3
3.4%
190237.437423451 1
 
1.1%
190280.387551989 1
 
1.1%
190341.520905826 1
 
1.1%
190364.652010662 1
 
1.1%
190586.062540107 2
2.3%
190587.567878858 2
2.3%
ValueCountFrequency (%)
194530.535390096 4
4.5%
193818.18014 1
 
1.1%
193808.969259588 3
3.4%
193798.948251805 1
 
1.1%
193698.921356445 1
 
1.1%
193693.568149679 1
 
1.1%
193678.506061166 1
 
1.1%
193664.997474895 1
 
1.1%
193658.473981035 1
 
1.1%
193592.000380036 2
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)70.9%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean446987.34
Minimum444219.12
Maximum448642.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T14:32:07.508050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444219.12
5-th percentile445850.01
Q1446429.98
median446915.92
Q3447498.53
95-th percentile448403.78
Maximum448642.11
Range4422.9914
Interquartile range (IQR)1068.5429

Descriptive statistics

Standard deviation799.36968
Coefficient of variation (CV)0.0017883497
Kurtosis0.63922225
Mean446987.34
Median Absolute Deviation (MAD)529.97899
Skewness-0.072434023
Sum38440911
Variance638991.89
MonotonicityNot monotonic
2024-05-11T14:32:07.735877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447628.862085473 5
 
5.7%
445841.377603245 4
 
4.5%
448224.111919951 4
 
4.5%
446306.787198089 4
 
4.5%
446429.98392891 3
 
3.4%
445875.89672273 3
 
3.4%
446192.884313355 3
 
3.4%
446508.068667777 3
 
3.4%
448642.112414847 2
 
2.3%
446552.469845648 2
 
2.3%
Other values (51) 53
60.2%
ValueCountFrequency (%)
444219.121055948 1
 
1.1%
445841.377603245 4
4.5%
445875.89672273 3
3.4%
446136.389996304 1
 
1.1%
446192.884313355 3
3.4%
446251.705251451 1
 
1.1%
446306.787198089 4
4.5%
446332.089777304 1
 
1.1%
446387.889640425 1
 
1.1%
446413.91770955 1
 
1.1%
ValueCountFrequency (%)
448642.112414847 2
2.3%
448554.360195644 1
 
1.1%
448527.841857699 1
 
1.1%
448436.126322646 1
 
1.1%
448306.736102179 1
 
1.1%
448224.111919951 4
4.5%
447973.845008722 1
 
1.1%
447891.794625907 1
 
1.1%
447649.476828035 1
 
1.1%
447637.656082358 1
 
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
국제회의기획업
44 
<NA>
44 

Length

Max length7
Median length5.5
Mean length5.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:07.980487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:08.149054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 44
50.0%
na 44
50.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
81 
관광사업
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
92.0%
관광사업 7
 
8.0%

Length

2024-05-11T14:32:08.299106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:08.507201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
92.0%
관광사업 7
 
8.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

총층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:08.694602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:08.863531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing87
Missing (%)98.9%
Memory size836.0 B
2024-05-11T14:32:09.029093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T14:32:09.490961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

지상층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:09.741049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:09.942276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

지하층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:10.153422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:10.353012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

객실수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:10.539783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:10.703063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

건축연면적
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:10.895936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:11.065122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing83
Missing (%)94.3%
Memory size836.0 B
2024-05-11T14:32:11.304596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length18.6
Min length12

Characters and Unicode

Total characters93
Distinct characters30
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowP.O.D Communications Inc.
2nd rowKdot Co.,Ltd
3rd rowplan DNA CO.,LTD
4th rowTEAM BOLD Inc.
5th rowall that company Co,. Ltd.
ValueCountFrequency (%)
inc 2
12.5%
co.,ltd 2
12.5%
p.o.d 1
 
6.2%
communications 1
 
6.2%
kdot 1
 
6.2%
plan 1
 
6.2%
dna 1
 
6.2%
team 1
 
6.2%
bold 1
 
6.2%
all 1
 
6.2%
Other values (4) 4
25.0%
2024-05-11T14:32:11.859121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
11.8%
. 8
 
8.6%
o 6
 
6.5%
n 6
 
6.5%
t 6
 
6.5%
a 5
 
5.4%
D 4
 
4.3%
C 4
 
4.3%
c 4
 
4.3%
L 4
 
4.3%
Other values (20) 35
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44
47.3%
Uppercase Letter 27
29.0%
Space Separator 11
 
11.8%
Other Punctuation 11
 
11.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6
13.6%
n 6
13.6%
t 6
13.6%
a 5
11.4%
c 4
9.1%
d 3
6.8%
m 3
6.8%
l 3
6.8%
p 2
 
4.5%
i 2
 
4.5%
Other values (4) 4
9.1%
Uppercase Letter
ValueCountFrequency (%)
D 4
14.8%
C 4
14.8%
L 4
14.8%
O 3
11.1%
I 2
7.4%
T 2
7.4%
A 2
7.4%
M 1
 
3.7%
B 1
 
3.7%
E 1
 
3.7%
Other values (3) 3
11.1%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
, 3
 
27.3%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 71
76.3%
Common 22
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6
 
8.5%
n 6
 
8.5%
t 6
 
8.5%
a 5
 
7.0%
D 4
 
5.6%
C 4
 
5.6%
c 4
 
5.6%
L 4
 
5.6%
d 3
 
4.2%
O 3
 
4.2%
Other values (17) 26
36.6%
Common
ValueCountFrequency (%)
11
50.0%
. 8
36.4%
, 3
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
 
11.8%
. 8
 
8.6%
o 6
 
6.5%
n 6
 
6.5%
t 6
 
6.5%
a 5
 
5.4%
D 4
 
4.3%
C 4
 
4.3%
c 4
 
4.3%
L 4
 
4.3%
Other values (20) 35
37.6%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
83 
PROFESSIONAL CONGRESS ORGANIZER
 
3
Professional Congress Organizer
 
2

Length

Max length31
Median length4
Mean length5.5340909
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> 83
94.3%
PROFESSIONAL CONGRESS ORGANIZER 3
 
3.4%
Professional Congress Organizer 2
 
2.3%

Length

2024-05-11T14:32:12.091156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:12.288975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
84.7%
professional 5
 
5.1%
congress 5
 
5.1%
organizer 5
 
5.1%

선박총톤수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:12.502214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:12.687636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

선박척수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:12.839537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:13.009424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:13.159786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:13.321120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

좌석수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:13.514849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:13.689419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:13.871731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:14.077690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

시설면적
Categorical

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
44 
0.0
41 
33.41
 
1
33.0
 
1
148.83
 
1

Length

Max length6
Median length4
Mean length3.5681818
Min length3

Unique

Unique3 ?
Unique (%)3.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 44
50.0%
0.0 41
46.6%
33.41 1
 
1.1%
33.0 1
 
1.1%
148.83 1
 
1.1%

Length

2024-05-11T14:32:14.315133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:14.564813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
50.0%
0.0 41
46.6%
33.41 1
 
1.1%
33.0 1
 
1.1%
148.83 1
 
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
0
44 
<NA>
44 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44
50.0%
<NA> 44
50.0%

Length

2024-05-11T14:32:14.758192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:14.982543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
50.0%
na 44
50.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)27.3%
Missing44
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean5.0587614 × 108
Minimum0
Maximum1.650856 × 1010
Zeros13
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T14:32:15.160423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q31 × 108
95-th percentile3.6443362 × 108
Maximum1.650856 × 1010
Range1.650856 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation2.5079197 × 109
Coefficient of variation (CV)4.9575765
Kurtosis41.132332
Mean5.0587614 × 108
Median Absolute Deviation (MAD)50000000
Skewness6.3460864
Sum2.225855 × 1010
Variance6.2896611 × 1018
MonotonicityNot monotonic
2024-05-11T14:32:15.386888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
50000000 16
 
18.2%
0 13
 
14.8%
100000000 4
 
4.5%
150000000 2
 
2.3%
60000000 2
 
2.3%
2950000000 1
 
1.1%
366980733 1
 
1.1%
350000000 1
 
1.1%
250000000 1
 
1.1%
52288622 1
 
1.1%
Other values (2) 2
 
2.3%
(Missing) 44
50.0%
ValueCountFrequency (%)
0 13
14.8%
50000000 16
18.2%
52288622 1
 
1.1%
60000000 2
 
2.3%
100000000 4
 
4.5%
150000000 2
 
2.3%
160720749 1
 
1.1%
250000000 1
 
1.1%
350000000 1
 
1.1%
366980733 1
 
1.1%
ValueCountFrequency (%)
16508560061 1
 
1.1%
2950000000 1
 
1.1%
366980733 1
 
1.1%
350000000 1
 
1.1%
250000000 1
 
1.1%
160720749 1
 
1.1%
150000000 2
2.3%
100000000 4
4.5%
60000000 2
2.3%
52288622 1
 
1.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

시설규모
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
44 
0
41 
33
 
2
149
 
1

Length

Max length4
Median length3.5
Mean length2.5454545
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 44
50.0%
0 41
46.6%
33 2
 
2.3%
149 1
 
1.1%

Length

2024-05-11T14:32:15.612161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:15.836631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
50.0%
0 41
46.6%
33 2
 
2.3%
149 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03180000CDFI226310198900000119890807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 685-1서울특별시 영등포구 대림로34마길 11 (대림동)7401인터내셔널컨벤션서비스㈜2018-08-23 13:51:48I2018-08-31 23:59:59.0<NA>191070.720645444219.121056국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
13180000CDFI226310200600000220060918<NA>1영업/정상13영업중<NA><NA><NA><NA>6337-6338<NA>150732서울특별시 영등포구 여의도동 61-4 라이프콤비빌딩 1118호서울특별시 영등포구 63로 32 (여의도동,라이프콤비빌딩 1118호)<NA>(주)제이더블유마컴2006-09-18 10:01:29I2018-08-31 23:59:59.0<NA>194530.53539446306.787198국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
23180000CDFI226310200800000120080116<NA>3폐업3폐업20160122<NA><NA><NA>3439-0500<NA>150972서울특별시 영등포구 문래동3가 54-66 에이스하이테크시티 1동 1009호<NA><NA>드림워커스 유한회사2016-01-25 14:22:17I2018-08-31 23:59:59.0<NA><NA><NA>국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
33180000CDFI226310200800000220080519<NA>1영업/정상13영업중<NA><NA><NA><NA>784-2542<NA><NA>서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티 1동 1105호서울특별시 영등포구 경인로 775, 1동 1105호 (문래동3가,에이스하이테크시티)<NA>(주)위너지2009-06-22 10:35:38I2018-08-31 23:59:59.0<NA>190996.357289445841.377603국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
43180000CDFI226310200800000320081022<NA>1영업/정상13영업중<NA><NA><NA><NA>761-2512<NA>150886서울특별시 영등포구 여의도동 36-2 맨하탄빌딩 1116호서울특별시 영등포구 국제금융로6길 33 (여의도동,맨하탄빌딩 1116호)<NA>(주)한국국제전시2008-10-22 17:26:51I2018-08-31 23:59:59.0<NA>193469.554732446508.068668국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
53180000CDFI226310200900000220090511<NA>1영업/정상13영업중<NA><NA><NA><NA>02-515-5276<NA><NA>서울특별시 영등포구 영등포동7가 29-22 성림빌딩서울특별시 영등포구 국회대로 661 (영등포동7가,성림빌딩)<NA>(주)블리스컨설팅2009-05-11 18:15:55I2018-08-31 23:59:59.0<NA>191750.794534447036.793055국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
63180000CDFI226310200900000320090602<NA>1영업/정상13영업중<NA><NA><NA><NA>786-4321<NA><NA>서울특별시 영등포구 여의도동 28-3 여의도파크센터 B동 1905호서울특별시 영등포구 여의대로 8, B동 1905호 (여의도동,여의도파크센터)<NA>(주)이에프이엑스코리아2009-06-02 18:34:32I2018-08-31 23:59:59.0<NA>192739.314354446552.469846국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
73180000CDFI226310200900000520061201<NA>1영업/정상13영업중<NA><NA><NA><NA>3153-5511<NA>150730서울특별시 영등포구 여의도동 34-1 MBC경영센터 지하1층서울특별시 영등포구 국제금융로 52 (여의도동,MBC경영센터 지하1층)<NA>(주)엠비씨미디어텍2015-07-23 13:43:28I2018-08-31 23:59:59.0<NA>193693.56815446719.352783국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>2950000000<NA><NA><NA>0
83180000CDFI226310201000000120100210<NA>1영업/정상13영업중<NA><NA><NA><NA>783-8211<NA>150010서울특별시 영등포구 여의도동 36-2 맨하탄빌딩 1317호서울특별시 영등포구 국제금융로6길 33 (여의도동,맨하탄빌딩 1317호)<NA>주식회사 씨엘컴퍼니2010-02-10 11:48:01I2018-08-31 23:59:59.0<NA>193469.554732446508.068668국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
93180000CDFI226310201000000220100413<NA>1영업/정상13영업중<NA><NA><NA><NA>2088-3888<NA>150095서울특별시 영등포구 문래동5가 9 벽산디지털밸리 604호서울특별시 영등포구 경인로71길 70, 604호 (문래동5가, 벽산디지털밸리)7286넥스페어2011-10-31 10:32:29I2018-08-31 23:59:59.0<NA>189859.071769445875.896723국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>366980733<NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
783180000CDFI22631020230000052013-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6309-7654<NA><NA>서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티서울특별시 영등포구 경인로 775, 에이스하이테크시티 2동 909호 (문래동3가)7299(주)유비더스시스템2023-06-20 15:14:00I2022-12-05 22:02:00.0<NA>190996.357289445841.377603<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793180000CDFI22631020230000062023-08-29<NA>5제외/삭제/전출15전출2023-12-13<NA><NA><NA>02-3775-4015<NA><NA>서울특별시 영등포구 여의도동 44-11 인영빌딩서울특별시 영등포구 의사당대로1길 34, 인영빌딩 1201호 (여의도동)7333피앤더블유에이티 주식회사2023-12-13 15:37:34U2022-11-01 23:05:00.0<NA>193808.96926446429.983929<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803180000CDFI22631020230000072023-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6278-0316<NA><NA>서울특별시 영등포구 문래동5가 9 벽산디지털밸리서울특별시 영등포구 경인로71길 70, 벽산디지털밸리 1306호 (문래동5가)7286(주)정커뮤니케이션즈2023-09-06 14:48:39I2022-12-09 00:08:00.0<NA>189859.071769445875.896723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813180000CDFI22631020230000082023-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 14-11 대하빌딩서울특별시 영등포구 국회대로70길 19, 대하빌딩 1007호 (여의도동)7238주식회사 패니지먼트2023-11-09 16:20:03I2022-10-31 23:01:00.0<NA>192931.4468447446.454692<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823180000CDFI22631020230000092023-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-5707<NA><NA>서울특별시 영등포구 영등포동7가 94-49 인따르시아빌딩서울특별시 영등포구 버드나루로 88, 인따르시아빌딩 3층 (영등포동7가)7230케이피커뮤니케이션 주식회사2023-11-23 16:46:17I2022-10-31 22:05:00.0<NA>191907.870669447090.531278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833180000CDFI22631020240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2671-9551<NA><NA>서울특별시 영등포구 양평동5가 106-1 선유도 코오롱디지털타워서울특별시 영등포구 양평로22길 21, 선유도 코오롱디지털타워 B106호 (양평동5가)7205주식회사 캐스트피아2024-01-11 13:22:27I2023-11-30 23:03:00.0<NA>190587.567879448642.112415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843180000CDFI22631020240000022021-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-569-6333<NA><NA>서울특별시 영등포구 당산동1가 459 생각공장 당산서울특별시 영등포구 영등포로 150, 생각공장 당산 C동 306호 (당산동1가)7292(주)팀즈코리아2024-02-05 16:41:12I2023-12-02 00:07:00.0<NA>190940.034564446461.996<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853180000CDFI22631020240000032024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-3125<NA><NA>서울특별시 영등포구 문래동6가 19 문래 SK V1 center서울특별시 영등포구 선유로9길 10, 문래 SK V1 center 1609호 (문래동6가)7281주식회사 유닛디자인2024-02-13 17:11:45I2023-12-01 23:05:00.0<NA>189959.044021446192.884313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863180000CDFI22631020240000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동5가 42 선유도 투웨니퍼스트밸리서울특별시 영등포구 양평로 157, 선유도 투웨니퍼스트밸리 1211호 (양평동5가)7207주식회사 더하이션2024-02-23 16:13:33I2023-12-01 22:05:00.0<NA>190237.437423448554.360196<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873180000CDFI22631020240000052024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-574-8891<NA><NA>서울특별시 영등포구 양평동4가 80 선유도역2차 아이에스비즈타워서울특별시 영등포구 선유로49길 23, 선유도역2차 아이에스비즈타워 2층 201호,202호 (양평동4가)7208주식회사 마이디어스2024-03-21 17:21:08I2023-12-02 22:03:00.0<NA>190649.039032448224.11192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>