Overview

Dataset statistics

Number of variables60
Number of observations279
Missing cells7710
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.3 KiB
Average record size in memory518.5 B

Variable types

Categorical20
Text8
DateTime6
Unsupported16
Numeric10

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17619/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
영업상태코드 is highly imbalanced (53.3%)Imbalance
영업상태명 is highly imbalanced (53.3%)Imbalance
상세영업상태코드 is highly imbalanced (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)Imbalance
지역구분명 is highly imbalanced (84.3%)Imbalance
보험기관명 is highly imbalanced (63.6%)Imbalance
건물용도명 is highly imbalanced (83.3%)Imbalance
지하층수 is highly imbalanced (76.7%)Imbalance
객실수 is highly imbalanced (60.2%)Imbalance
건축연면적 is highly imbalanced (60.2%)Imbalance
영문상호주소 is highly imbalanced (88.8%)Imbalance
선박총톤수 is highly imbalanced (60.2%)Imbalance
선박척수 is highly imbalanced (60.2%)Imbalance
무대면적 is highly imbalanced (60.2%)Imbalance
좌석수 is highly imbalanced (60.2%)Imbalance
회의실별동시수용인원 is highly imbalanced (60.2%)Imbalance
놀이시설수 is highly imbalanced (60.2%)Imbalance
인허가취소일자 has 279 (100.0%) missing valuesMissing
폐업일자 has 221 (79.2%) missing valuesMissing
휴업시작일자 has 276 (98.9%) missing valuesMissing
휴업종료일자 has 276 (98.9%) missing valuesMissing
재개업일자 has 279 (100.0%) missing valuesMissing
전화번호 has 168 (60.2%) missing valuesMissing
소재지면적 has 279 (100.0%) missing valuesMissing
소재지우편번호 has 246 (88.2%) missing valuesMissing
도로명우편번호 has 11 (3.9%) missing valuesMissing
업태구분명 has 279 (100.0%) missing valuesMissing
문화사업자구분명 has 279 (100.0%) missing valuesMissing
총층수 has 241 (86.4%) missing valuesMissing
주변환경명 has 278 (99.6%) missing valuesMissing
제작취급품목내용 has 279 (100.0%) missing valuesMissing
지상층수 has 236 (84.6%) missing valuesMissing
영문상호명 has 269 (96.4%) missing valuesMissing
선박제원 has 279 (100.0%) missing valuesMissing
기념품종류 has 279 (100.0%) missing valuesMissing
시설면적 has 217 (77.8%) missing valuesMissing
놀이기구수내역 has 279 (100.0%) missing valuesMissing
방송시설유무 has 279 (100.0%) missing valuesMissing
발전시설유무 has 279 (100.0%) missing valuesMissing
의무실유무 has 279 (100.0%) missing valuesMissing
안내소유무 has 279 (100.0%) missing valuesMissing
기획여행보험시작일자 has 279 (100.0%) missing valuesMissing
기획여행보험종료일자 has 279 (100.0%) missing valuesMissing
자본금 has 174 (62.4%) missing valuesMissing
보험시작일자 has 208 (74.6%) missing valuesMissing
보험종료일자 has 208 (74.6%) missing valuesMissing
부대시설내역 has 279 (100.0%) missing valuesMissing
시설규모 has 217 (77.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 22 (7.9%) zerosZeros
지상층수 has 21 (7.5%) zerosZeros
시설면적 has 15 (5.4%) zerosZeros
시설규모 has 15 (5.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:51:52.174147
Analysis finished2024-05-11 05:51:54.799274
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
3170000
279 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 279
100.0%

Length

2024-05-11T05:51:55.072054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:51:55.544472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 279
100.0%

관리번호
Text

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T05:51:56.361124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5580
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

Unique279 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042005000001
2nd rowCDFI2260042006000001
3rd rowCDFI2260042008000001
4th rowCDFI2260042010000001
5th rowCDFI2260042010000002
ValueCountFrequency (%)
cdfi2260042005000001 1
 
0.4%
cdfi2260042022000007 1
 
0.4%
cdfi2260042022000021 1
 
0.4%
cdfi2260042022000020 1
 
0.4%
cdfi2260042022000019 1
 
0.4%
cdfi2260042022000018 1
 
0.4%
cdfi2260042022000017 1
 
0.4%
cdfi2260042022000016 1
 
0.4%
cdfi2260042022000014 1
 
0.4%
cdfi2260042022000041 1
 
0.4%
Other values (269) 269
96.4%
2024-05-11T05:51:57.917063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2095
37.5%
2 1130
20.3%
4 346
 
6.2%
6 333
 
6.0%
1 282
 
5.1%
C 279
 
5.0%
D 279
 
5.0%
F 279
 
5.0%
I 279
 
5.0%
3 106
 
1.9%
Other values (4) 172
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4464
80.0%
Uppercase Letter 1116
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2095
46.9%
2 1130
25.3%
4 346
 
7.8%
6 333
 
7.5%
1 282
 
6.3%
3 106
 
2.4%
8 46
 
1.0%
9 44
 
1.0%
7 43
 
1.0%
5 39
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 279
25.0%
D 279
25.0%
F 279
25.0%
I 279
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4464
80.0%
Latin 1116
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2095
46.9%
2 1130
25.3%
4 346
 
7.8%
6 333
 
7.5%
1 282
 
6.3%
3 106
 
2.4%
8 46
 
1.0%
9 44
 
1.0%
7 43
 
1.0%
5 39
 
0.9%
Latin
ValueCountFrequency (%)
C 279
25.0%
D 279
25.0%
F 279
25.0%
I 279
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2095
37.5%
2 1130
20.3%
4 346
 
6.2%
6 333
 
6.0%
1 282
 
5.1%
C 279
 
5.0%
D 279
 
5.0%
F 279
 
5.0%
I 279
 
5.0%
3 106
 
1.9%
Other values (4) 172
 
3.1%
Distinct264
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1995-09-27 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T05:51:58.779613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:51:59.488027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
218 
3
31 
5
23 
4
 
4
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 218
78.1%
3 31
 
11.1%
5 23
 
8.2%
4 4
 
1.4%
2 3
 
1.1%

Length

2024-05-11T05:52:00.035910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:00.362588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 218
78.1%
3 31
 
11.1%
5 23
 
8.2%
4 4
 
1.4%
2 3
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
218 
폐업
31 
제외/삭제/전출
23 
취소/말소/만료/정지/중지
 
4
휴업
 
3

Length

Max length14
Median length5
Mean length5.0107527
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 218
78.1%
폐업 31
 
11.1%
제외/삭제/전출 23
 
8.2%
취소/말소/만료/정지/중지 4
 
1.4%
휴업 3
 
1.1%

Length

2024-05-11T05:52:00.817440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:01.165216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 218
78.1%
폐업 31
 
11.1%
제외/삭제/전출 23
 
8.2%
취소/말소/만료/정지/중지 4
 
1.4%
휴업 3
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
13
218 
3
31 
15
23 
35
 
4
2
 
3

Length

Max length2
Median length2
Mean length1.8781362
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 218
78.1%
3 31
 
11.1%
15 23
 
8.2%
35 4
 
1.4%
2 3
 
1.1%

Length

2024-05-11T05:52:01.550345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:01.884901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 218
78.1%
3 31
 
11.1%
15 23
 
8.2%
35 4
 
1.4%
2 3
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
218 
폐업
31 
전출
23 
직권말소
 
4
휴업
 
3

Length

Max length4
Median length3
Mean length2.8100358
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 218
78.1%
폐업 31
 
11.1%
전출 23
 
8.2%
직권말소 4
 
1.4%
휴업 3
 
1.1%

Length

2024-05-11T05:52:02.294315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:02.667351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 218
78.1%
폐업 31
 
11.1%
전출 23
 
8.2%
직권말소 4
 
1.4%
휴업 3
 
1.1%

폐업일자
Date

MISSING 

Distinct58
Distinct (%)100.0%
Missing221
Missing (%)79.2%
Memory size2.3 KiB
Minimum2009-12-21 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T05:52:03.035320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:03.470640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing276
Missing (%)98.9%
Memory size2.3 KiB
Minimum2017-09-14 00:00:00
Maximum2023-11-07 00:00:00
2024-05-11T05:52:03.742673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:04.074051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing276
Missing (%)98.9%
Memory size2.3 KiB
Minimum2018-09-14 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T05:52:04.442142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:04.816405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

전화번호
Text

MISSING 

Distinct106
Distinct (%)95.5%
Missing168
Missing (%)60.2%
Memory size2.3 KiB
2024-05-11T05:52:05.385433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.900901
Min length8

Characters and Unicode

Total characters1210
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

Unique102 ?
Unique (%)91.9%

Sample

1st row866-6200
2nd row02-866-1718
3rd row2626-9321
4th row2082-5500
5th row02-2626-8417
ValueCountFrequency (%)
02-6322-8800 3
 
2.7%
866-6200 2
 
1.8%
02-2224-0977 2
 
1.8%
02-811-3702 2
 
1.8%
02-6398-3908 1
 
0.9%
02-797-2255 1
 
0.9%
02-858-8965 1
 
0.9%
070-4760-6023 1
 
0.9%
02-561-2133 1
 
0.9%
070-8244-6338 1
 
0.9%
Other values (96) 96
86.5%
2024-05-11T05:52:06.475305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 198
16.4%
- 178
14.7%
2 173
14.3%
8 122
10.1%
6 104
8.6%
1 96
7.9%
7 80
6.6%
3 72
 
6.0%
5 71
 
5.9%
4 60
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1032
85.3%
Dash Punctuation 178
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 198
19.2%
2 173
16.8%
8 122
11.8%
6 104
10.1%
1 96
9.3%
7 80
7.8%
3 72
 
7.0%
5 71
 
6.9%
4 60
 
5.8%
9 56
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 198
16.4%
- 178
14.7%
2 173
14.3%
8 122
10.1%
6 104
8.6%
1 96
7.9%
7 80
6.6%
3 72
 
6.0%
5 71
 
5.9%
4 60
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 198
16.4%
- 178
14.7%
2 173
14.3%
8 122
10.1%
6 104
8.6%
1 96
7.9%
7 80
6.6%
3 72
 
6.0%
5 71
 
5.9%
4 60
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)66.7%
Missing246
Missing (%)88.2%
Memory size2.3 KiB
2024-05-11T05:52:06.927596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.030303
Min length6

Characters and Unicode

Total characters199
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)51.5%

Sample

1st row153781
2nd row153781
3rd row153779
4th row153788
5th row153023
ValueCountFrequency (%)
153781 6
18.2%
153803 3
 
9.1%
153801 3
 
9.1%
153779 2
 
6.1%
153023 2
 
6.1%
153013 1
 
3.0%
153782 1
 
3.0%
153786 1
 
3.0%
153794 1
 
3.0%
153759 1
 
3.0%
Other values (12) 12
36.4%
2024-05-11T05:52:08.172427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 49
24.6%
3 42
21.1%
5 36
18.1%
7 23
11.6%
8 18
 
9.0%
0 13
 
6.5%
9 7
 
3.5%
2 5
 
2.5%
4 3
 
1.5%
6 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
24.7%
3 42
21.2%
5 36
18.2%
7 23
11.6%
8 18
 
9.1%
0 13
 
6.6%
9 7
 
3.5%
2 5
 
2.5%
4 3
 
1.5%
6 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 49
24.6%
3 42
21.1%
5 36
18.1%
7 23
11.6%
8 18
 
9.0%
0 13
 
6.5%
9 7
 
3.5%
2 5
 
2.5%
4 3
 
1.5%
6 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 49
24.6%
3 42
21.1%
5 36
18.1%
7 23
11.6%
8 18
 
9.0%
0 13
 
6.5%
9 7
 
3.5%
2 5
 
2.5%
4 3
 
1.5%
6 2
 
1.0%
Distinct212
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T05:52:08.941820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length30.34767
Min length17

Characters and Unicode

Total characters8467
Distinct characters173
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

Unique176 ?
Unique (%)63.1%

Sample

1st row서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 204호
2nd row서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 205호
3rd row서울특별시 금천구 가산동 429-1번지 뉴티캐슬 310호
4th row서울특별시 금천구 가산동 60-73번지 벽산디지털밸리5차 B123호
5th row서울특별시 금천구 가산동 429-1번지 뉴티캐슬 203호
ValueCountFrequency (%)
서울특별시 279
17.8%
금천구 279
17.8%
가산동 244
 
15.5%
가산 24
 
1.5%
독산동 24
 
1.5%
543-1 13
 
0.8%
371-41 13
 
0.8%
에스케이 13
 
0.8%
브이원 13
 
0.8%
센터 13
 
0.8%
Other values (352) 656
41.8%
2024-05-11T05:52:10.404727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1340
 
15.8%
1 372
 
4.4%
321
 
3.8%
297
 
3.5%
293
 
3.5%
282
 
3.3%
282
 
3.3%
281
 
3.3%
281
 
3.3%
279
 
3.3%
Other values (163) 4439
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4983
58.9%
Decimal Number 1773
 
20.9%
Space Separator 1340
 
15.8%
Dash Punctuation 260
 
3.1%
Uppercase Letter 96
 
1.1%
Lowercase Letter 10
 
0.1%
Other Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
321
 
6.4%
297
 
6.0%
293
 
5.9%
282
 
5.7%
282
 
5.7%
281
 
5.6%
281
 
5.6%
279
 
5.6%
279
 
5.6%
279
 
5.6%
Other values (125) 2109
42.3%
Uppercase Letter
ValueCountFrequency (%)
T 33
34.4%
I 30
31.2%
C 5
 
5.2%
B 5
 
5.2%
A 3
 
3.1%
R 3
 
3.1%
E 3
 
3.1%
W 3
 
3.1%
O 3
 
3.1%
Y 2
 
2.1%
Other values (5) 6
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 372
21.0%
0 229
12.9%
2 221
12.5%
4 178
10.0%
3 177
10.0%
5 176
9.9%
6 138
 
7.8%
7 114
 
6.4%
9 106
 
6.0%
8 62
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
t 1
 
10.0%
n 1
 
10.0%
u 1
 
10.0%
o 1
 
10.0%
w 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
1340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4983
58.9%
Common 3378
39.9%
Latin 106
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
321
 
6.4%
297
 
6.0%
293
 
5.9%
282
 
5.7%
282
 
5.7%
281
 
5.6%
281
 
5.6%
279
 
5.6%
279
 
5.6%
279
 
5.6%
Other values (125) 2109
42.3%
Latin
ValueCountFrequency (%)
T 33
31.1%
I 30
28.3%
C 5
 
4.7%
B 5
 
4.7%
A 3
 
2.8%
R 3
 
2.8%
E 3
 
2.8%
W 3
 
2.8%
e 3
 
2.8%
O 3
 
2.8%
Other values (12) 15
14.2%
Common
ValueCountFrequency (%)
1340
39.7%
1 372
 
11.0%
- 260
 
7.7%
0 229
 
6.8%
2 221
 
6.5%
4 178
 
5.3%
3 177
 
5.2%
5 176
 
5.2%
6 138
 
4.1%
7 114
 
3.4%
Other values (6) 173
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4983
58.9%
ASCII 3484
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1340
38.5%
1 372
 
10.7%
- 260
 
7.5%
0 229
 
6.6%
2 221
 
6.3%
4 178
 
5.1%
3 177
 
5.1%
5 176
 
5.1%
6 138
 
4.0%
7 114
 
3.3%
Other values (28) 279
 
8.0%
Hangul
ValueCountFrequency (%)
321
 
6.4%
297
 
6.0%
293
 
5.9%
282
 
5.7%
282
 
5.7%
281
 
5.6%
281
 
5.6%
279
 
5.6%
279
 
5.6%
279
 
5.6%
Other values (125) 2109
42.3%
Distinct266
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T05:52:11.514489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length49
Mean length42.55914
Min length24

Characters and Unicode

Total characters11874
Distinct characters190
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)91.0%

Sample

1st row서울특별시 금천구 벚꽃로 254, 204호 (가산동,월드메르디앙1차)
2nd row서울특별시 금천구 벚꽃로 254, 205호 (가산동,월드메르디앙1차)
3rd row서울특별시 금천구 가산디지털2로 108, 310호 (가산동,뉴티캐슬)
4th row서울특별시 금천구 벚꽃로 244, B123호 (가산동,벽산디지털밸리5차)
5th row서울특별시 금천구 가산디지털2로 108 (가산동,뉴티캐슬 203호)
ValueCountFrequency (%)
서울특별시 279
 
13.5%
금천구 279
 
13.5%
가산동 233
 
11.3%
가산디지털1로 109
 
5.3%
가산디지털2로 57
 
2.8%
가산 24
 
1.2%
독산동 24
 
1.2%
디지털로9길 22
 
1.1%
서부샛길 18
 
0.9%
월드메르디앙2차 17
 
0.8%
Other values (462) 1005
48.6%
2024-05-11T05:52:13.530980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1797
 
15.1%
1 623
 
5.2%
507
 
4.3%
451
 
3.8%
2 379
 
3.2%
, 336
 
2.8%
0 330
 
2.8%
316
 
2.7%
306
 
2.6%
299
 
2.5%
Other values (180) 6530
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6698
56.4%
Decimal Number 2261
 
19.0%
Space Separator 1797
 
15.1%
Other Punctuation 337
 
2.8%
Close Punctuation 282
 
2.4%
Open Punctuation 282
 
2.4%
Uppercase Letter 114
 
1.0%
Dash Punctuation 92
 
0.8%
Lowercase Letter 10
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
507
 
7.6%
451
 
6.7%
316
 
4.7%
306
 
4.6%
299
 
4.5%
284
 
4.2%
282
 
4.2%
281
 
4.2%
279
 
4.2%
279
 
4.2%
Other values (139) 3414
51.0%
Uppercase Letter
ValueCountFrequency (%)
T 36
31.6%
I 32
28.1%
A 9
 
7.9%
B 8
 
7.0%
C 5
 
4.4%
R 4
 
3.5%
O 3
 
2.6%
W 3
 
2.6%
E 3
 
2.6%
S 2
 
1.8%
Other values (7) 9
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 623
27.6%
2 379
16.8%
0 330
14.6%
3 230
 
10.2%
6 132
 
5.8%
5 121
 
5.4%
4 121
 
5.4%
9 114
 
5.0%
8 110
 
4.9%
7 101
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
u 1
 
10.0%
o 1
 
10.0%
w 1
 
10.0%
t 1
 
10.0%
n 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 336
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1797
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6698
56.4%
Common 5052
42.5%
Latin 124
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
507
 
7.6%
451
 
6.7%
316
 
4.7%
306
 
4.6%
299
 
4.5%
284
 
4.2%
282
 
4.2%
281
 
4.2%
279
 
4.2%
279
 
4.2%
Other values (139) 3414
51.0%
Latin
ValueCountFrequency (%)
T 36
29.0%
I 32
25.8%
A 9
 
7.3%
B 8
 
6.5%
C 5
 
4.0%
R 4
 
3.2%
O 3
 
2.4%
W 3
 
2.4%
E 3
 
2.4%
e 3
 
2.4%
Other values (14) 18
14.5%
Common
ValueCountFrequency (%)
1797
35.6%
1 623
 
12.3%
2 379
 
7.5%
, 336
 
6.7%
0 330
 
6.5%
) 282
 
5.6%
( 282
 
5.6%
3 230
 
4.6%
6 132
 
2.6%
5 121
 
2.4%
Other values (7) 540
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6698
56.4%
ASCII 5176
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1797
34.7%
1 623
 
12.0%
2 379
 
7.3%
, 336
 
6.5%
0 330
 
6.4%
) 282
 
5.4%
( 282
 
5.4%
3 230
 
4.4%
6 132
 
2.6%
5 121
 
2.3%
Other values (31) 664
 
12.8%
Hangul
ValueCountFrequency (%)
507
 
7.6%
451
 
6.7%
316
 
4.7%
306
 
4.6%
299
 
4.5%
284
 
4.2%
282
 
4.2%
281
 
4.2%
279
 
4.2%
279
 
4.2%
Other values (139) 3414
51.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)20.5%
Missing11
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean13952.582
Minimum8500
Maximum153803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:14.116907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501.35
Q18505
median8511
Q38590
95-th percentile8637.6
Maximum153803
Range145303
Interquartile range (IQR)85

Descriptive statistics

Standard deviation27549.184
Coefficient of variation (CV)1.9744865
Kurtosis22.274823
Mean13952.582
Median Absolute Deviation (MAD)9
Skewness4.9100362
Sum3739292
Variance7.5895757 × 108
MonotonicityNot monotonic
2024-05-11T05:52:14.705184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8506 25
 
9.0%
8511 24
 
8.6%
8505 21
 
7.5%
8503 19
 
6.8%
8504 17
 
6.1%
8591 14
 
5.0%
8589 13
 
4.7%
8594 12
 
4.3%
8507 10
 
3.6%
8501 10
 
3.6%
Other values (45) 103
36.9%
(Missing) 11
 
3.9%
ValueCountFrequency (%)
8500 4
 
1.4%
8501 10
 
3.6%
8502 8
 
2.9%
8503 19
6.8%
8504 17
6.1%
8505 21
7.5%
8506 25
9.0%
8507 10
 
3.6%
8510 3
 
1.1%
8511 24
8.6%
ValueCountFrequency (%)
153803 1
0.4%
153801 1
0.4%
153795 1
0.4%
153786 1
0.4%
153781 2
0.7%
153719 1
0.4%
153713 1
0.4%
153031 1
0.4%
153023 1
0.4%
8656 2
0.7%
Distinct274
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T05:52:15.500664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length9.3297491
Min length2

Characters and Unicode

Total characters2603
Distinct characters313
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)96.4%

Sample

1st row(주)아시아나에어텔
2nd row(주)글로벌투어에이젼시
3rd row(주)케이에프넷
4th row(주)비즈브릿지
5th row(주)지쓰리코리아
ValueCountFrequency (%)
주식회사 129
29.4%
tour 3
 
0.7%
주)코리아브릿지 2
 
0.5%
트래블 2
 
0.5%
코리아 2
 
0.5%
투어 2
 
0.5%
케이월드 2
 
0.5%
여행사 2
 
0.5%
디엠씨 2
 
0.5%
몬스터글로벌 2
 
0.5%
Other values (289) 291
66.3%
2024-05-11T05:52:16.782020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
 
8.8%
162
 
6.2%
160
 
6.1%
131
 
5.0%
130
 
5.0%
( 107
 
4.1%
) 107
 
4.1%
76
 
2.9%
64
 
2.5%
59
 
2.3%
Other values (303) 1377
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2126
81.7%
Space Separator 160
 
6.1%
Open Punctuation 107
 
4.1%
Close Punctuation 107
 
4.1%
Uppercase Letter 47
 
1.8%
Lowercase Letter 45
 
1.7%
Decimal Number 7
 
0.3%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
230
 
10.8%
162
 
7.6%
131
 
6.2%
130
 
6.1%
76
 
3.6%
64
 
3.0%
59
 
2.8%
46
 
2.2%
42
 
2.0%
41
 
1.9%
Other values (254) 1145
53.9%
Uppercase Letter
ValueCountFrequency (%)
J 4
 
8.5%
S 4
 
8.5%
T 4
 
8.5%
E 4
 
8.5%
N 3
 
6.4%
M 3
 
6.4%
C 3
 
6.4%
A 3
 
6.4%
H 3
 
6.4%
P 2
 
4.3%
Other values (10) 14
29.8%
Lowercase Letter
ValueCountFrequency (%)
o 7
15.6%
u 6
13.3%
r 4
8.9%
n 4
8.9%
t 4
8.9%
a 3
6.7%
e 3
6.7%
m 3
6.7%
s 2
 
4.4%
g 2
 
4.4%
Other values (7) 7
15.6%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
5 1
14.3%
1 1
14.3%
3 1
14.3%
4 1
14.3%
2 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2127
81.7%
Common 384
 
14.8%
Latin 92
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
230
 
10.8%
162
 
7.6%
131
 
6.2%
130
 
6.1%
76
 
3.6%
64
 
3.0%
59
 
2.8%
46
 
2.2%
42
 
2.0%
41
 
1.9%
Other values (255) 1146
53.9%
Latin
ValueCountFrequency (%)
o 7
 
7.6%
u 6
 
6.5%
J 4
 
4.3%
r 4
 
4.3%
S 4
 
4.3%
n 4
 
4.3%
T 4
 
4.3%
t 4
 
4.3%
E 4
 
4.3%
a 3
 
3.3%
Other values (27) 48
52.2%
Common
ValueCountFrequency (%)
160
41.7%
( 107
27.9%
) 107
27.9%
8 2
 
0.5%
, 2
 
0.5%
5 1
 
0.3%
1 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2126
81.7%
ASCII 476
 
18.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
230
 
10.8%
162
 
7.6%
131
 
6.2%
130
 
6.1%
76
 
3.6%
64
 
3.0%
59
 
2.8%
46
 
2.2%
42
 
2.0%
41
 
1.9%
Other values (254) 1145
53.9%
ASCII
ValueCountFrequency (%)
160
33.6%
( 107
22.5%
) 107
22.5%
o 7
 
1.5%
u 6
 
1.3%
J 4
 
0.8%
r 4
 
0.8%
S 4
 
0.8%
n 4
 
0.8%
T 4
 
0.8%
Other values (38) 69
14.5%
None
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2009-12-23 07:13:09
Maximum2024-05-09 11:05:30
2024-05-11T05:52:17.551238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:18.142187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
U
174 
I
105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 174
62.4%
I 105
37.6%

Length

2024-05-11T05:52:18.768082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:19.229934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 174
62.4%
i 105
37.6%
Distinct177
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T05:52:19.755747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:20.205710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct107
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189752.2
Minimum188974.8
Maximum192368.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:20.636994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188974.8
5-th percentile189055.14
Q1189369.54
median189622.33
Q3189920.53
95-th percentile191091.09
Maximum192368.44
Range3393.6371
Interquartile range (IQR)550.98899

Descriptive statistics

Standard deviation606.81458
Coefficient of variation (CV)0.0031979317
Kurtosis2.5365587
Mean189752.2
Median Absolute Deviation (MAD)269.28175
Skewness1.5131679
Sum52940865
Variance368223.94
MonotonicityNot monotonic
2024-05-11T05:52:21.276073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189202.600232089 17
 
6.1%
189055.138252216 14
 
5.0%
189378.332493727 13
 
4.7%
189497.04098479 11
 
3.9%
189920.528610917 10
 
3.6%
189788.849463856 8
 
2.9%
189538.020935968 8
 
2.9%
189790.323886715 7
 
2.5%
189700.026948955 6
 
2.2%
189369.53962474 6
 
2.2%
Other values (97) 179
64.2%
ValueCountFrequency (%)
188974.800556597 1
 
0.4%
188979.225789508 1
 
0.4%
189016.465808265 3
 
1.1%
189055.138252216 14
5.0%
189065.818334596 1
 
0.4%
189089.927764903 1
 
0.4%
189092.729912585 3
 
1.1%
189127.981104583 2
 
0.7%
189174.558570016 3
 
1.1%
189182.776746982 1
 
0.4%
ValueCountFrequency (%)
192368.43764933 2
0.7%
191436.657592504 1
0.4%
191398.215543042 1
0.4%
191387.70835979 1
0.4%
191351.141109721 1
0.4%
191346.519330876 1
0.4%
191303.023494993 1
0.4%
191226.287379467 1
0.4%
191203.852060397 1
0.4%
191174.269289232 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct107
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441492.47
Minimum437914.06
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:21.843435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437914.06
5-th percentile440398.07
Q1441142.65
median441728.27
Q3441982.43
95-th percentile442390.47
Maximum442636.32
Range4722.2571
Interquartile range (IQR)839.78287

Descriptive statistics

Standard deviation771.68758
Coefficient of variation (CV)0.0017479065
Kurtosis3.4199439
Mean441492.47
Median Absolute Deviation (MAD)338.72807
Skewness-1.5713262
Sum1.231764 × 108
Variance595501.73
MonotonicityNot monotonic
2024-05-11T05:52:22.493195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441848.24299943 17
 
6.1%
441958.334400683 14
 
5.0%
442066.99866487 13
 
4.7%
441728.27059771 11
 
3.9%
440521.85524888 10
 
3.6%
441731.610478567 8
 
2.9%
441982.427934953 8
 
2.9%
442017.86745811 7
 
2.5%
441229.110998601 6
 
2.2%
441629.361414684 6
 
2.2%
Other values (97) 179
64.2%
ValueCountFrequency (%)
437914.06299827 1
0.4%
438492.594496018 1
0.4%
438690.814038292 2
0.7%
438765.406099377 1
0.4%
439210.504324556 1
0.4%
439270.8583318 1
0.4%
439289.688788079 1
0.4%
439322.42742435 1
0.4%
439463.874506165 1
0.4%
439586.961413742 1
0.4%
ValueCountFrequency (%)
442636.320100968 3
1.1%
442569.300676147 1
 
0.4%
442562.722742062 3
1.1%
442493.020182986 4
1.4%
442478.356256941 1
 
0.4%
442460.505542105 2
0.7%
442382.690694868 1
 
0.4%
442338.144130222 1
 
0.4%
442321.96611795 1
 
0.4%
442320.784167212 3
1.1%
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
156 
종합여행업
123 

Length

Max length5
Median length4
Mean length4.4408602
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
55.9%
종합여행업 123
44.1%

Length

2024-05-11T05:52:22.905149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:23.275836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
55.9%
종합여행업 123
44.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
264 
근린상업지역
 
7
일반상업지역
 
4
공업지역
 
2
준공업지역
 
1

Length

Max length6
Median length4
Mean length4.0896057
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 264
94.6%
근린상업지역 7
 
2.5%
일반상업지역 4
 
1.4%
공업지역 2
 
0.7%
준공업지역 1
 
0.4%
전용공업지역 1
 
0.4%

Length

2024-05-11T05:52:23.803217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:24.463717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
94.6%
근린상업지역 7
 
2.5%
일반상업지역 4
 
1.4%
공업지역 2
 
0.7%
준공업지역 1
 
0.4%
전용공업지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)28.9%
Missing241
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean3.1315789
Minimum0
Maximum20
Zeros22
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:24.849262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile11.9
Maximum20
Range20
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.1474006
Coefficient of variation (CV)1.6437077
Kurtosis2.769969
Mean3.1315789
Median Absolute Deviation (MAD)0
Skewness1.8077007
Sum119
Variance26.495733
MonotonicityNot monotonic
2024-05-11T05:52:25.358984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 22
 
7.9%
10 4
 
1.4%
3 3
 
1.1%
1 2
 
0.7%
17 1
 
0.4%
20 1
 
0.4%
11 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%
2 1
 
0.4%
(Missing) 241
86.4%
ValueCountFrequency (%)
0 22
7.9%
1 2
 
0.7%
2 1
 
0.4%
3 3
 
1.1%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
10 4
 
1.4%
11 1
 
0.4%
17 1
 
0.4%
ValueCountFrequency (%)
20 1
 
0.4%
17 1
 
0.4%
11 1
 
0.4%
10 4
1.4%
7 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
3 3
1.1%
2 1
 
0.4%
1 2
0.7%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing278
Missing (%)99.6%
Memory size2.3 KiB
2024-05-11T05:52:25.763728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T05:52:26.329630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

보험기관명
Categorical

IMBALANCE 

Distinct16
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
215 
서울보증보험
23 
서울보증보험주식회사
 
12
한국관광협회중앙회 여행공제회
 
7
한국여행업협회
 
5
Other values (11)
 
17

Length

Max length16
Median length4
Mean length5.1433692
Min length4

Unique

Unique9 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 215
77.1%
서울보증보험 23
 
8.2%
서울보증보험주식회사 12
 
4.3%
한국관광협회중앙회 여행공제회 7
 
2.5%
한국여행업협회 5
 
1.8%
한국관광협회중앙회 4
 
1.4%
서울보증보험(5천만원) 4
 
1.4%
보증보험 1
 
0.4%
한국관광협회 중앙회 여행공제회 1
 
0.4%
한국관광협회 1
 
0.4%
Other values (6) 6
 
2.2%

Length

2024-05-11T05:52:26.838340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 215
74.1%
서울보증보험 23
 
7.9%
서울보증보험주식회사 12
 
4.1%
한국관광협회중앙회 11
 
3.8%
여행공제회 8
 
2.8%
한국여행업협회 5
 
1.7%
서울보증보험(5천만원 4
 
1.4%
한국관광협회 3
 
1.0%
보증보험 1
 
0.3%
중앙회 1
 
0.3%
Other values (7) 7
 
2.4%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
265 
근린생활시설
 
11
사무실
 
2
위험물저장시설
 
1

Length

Max length7
Median length4
Mean length4.0824373
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 265
95.0%
근린생활시설 11
 
3.9%
사무실 2
 
0.7%
위험물저장시설 1
 
0.4%

Length

2024-05-11T05:52:27.420166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:27.987058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
95.0%
근린생활시설 11
 
3.9%
사무실 2
 
0.7%
위험물저장시설 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)25.6%
Missing236
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean3.744186
Minimum0
Maximum15
Zeros21
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:28.677224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38.5
95-th percentile10
Maximum15
Range15
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation4.7863547
Coefficient of variation (CV)1.2783432
Kurtosis-0.6093144
Mean3.744186
Median Absolute Deviation (MAD)1
Skewness0.89683387
Sum161
Variance22.909192
MonotonicityNot monotonic
2024-05-11T05:52:29.158057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 21
 
7.5%
10 8
 
2.9%
1 3
 
1.1%
15 2
 
0.7%
7 2
 
0.7%
2 2
 
0.7%
8 1
 
0.4%
9 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
(Missing) 236
84.6%
ValueCountFrequency (%)
0 21
7.5%
1 3
 
1.1%
2 2
 
0.7%
3 1
 
0.4%
4 1
 
0.4%
6 1
 
0.4%
7 2
 
0.7%
8 1
 
0.4%
9 1
 
0.4%
10 8
 
2.9%
ValueCountFrequency (%)
15 2
 
0.7%
10 8
2.9%
9 1
 
0.4%
8 1
 
0.4%
7 2
 
0.7%
6 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
2 2
 
0.7%
1 3
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
255 
0
 
22
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7419355
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 255
91.4%
0 22
 
7.9%
2 1
 
0.4%
1 1
 
0.4%

Length

2024-05-11T05:52:29.765315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:30.246163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 255
91.4%
0 22
 
7.9%
2 1
 
0.4%
1 1
 
0.4%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:30.874625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:31.274278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:31.985370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:32.311045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

영문상호명
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing269
Missing (%)96.4%
Memory size2.3 KiB
2024-05-11T05:52:32.769961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length18.2
Min length7

Characters and Unicode

Total characters182
Distinct characters37
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

Unique10 ?
Unique (%)100.0%

Sample

1st rowPurple Co., Ltd.
2nd rowKENT TRAVEL Co., Ltd.
3rd rowMalab Global Co.,LtD.
4th rowIM,TRIP
5th rowJ.JUNE TRAVEL LNC
ValueCountFrequency (%)
ltd 5
17.2%
co 5
17.2%
travel 2
 
6.9%
global 2
 
6.9%
co.,ltd 2
 
6.9%
purple 1
 
3.4%
international 1
 
3.4%
riu 1
 
3.4%
maipharm 1
 
3.4%
bank 1
 
3.4%
Other values (8) 8
27.6%
2024-05-11T05:52:33.639395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
10.4%
. 16
 
8.8%
L 12
 
6.6%
o 11
 
6.0%
t 10
 
5.5%
C 10
 
5.5%
, 9
 
4.9%
a 9
 
4.9%
d 7
 
3.8%
l 7
 
3.8%
Other values (27) 72
39.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 71
39.0%
Lowercase Letter 67
36.8%
Other Punctuation 25
 
13.7%
Space Separator 19
 
10.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 12
16.9%
C 10
14.1%
R 6
 
8.5%
T 5
 
7.0%
I 4
 
5.6%
E 4
 
5.6%
N 4
 
5.6%
A 4
 
5.6%
M 3
 
4.2%
P 3
 
4.2%
Other values (9) 16
22.5%
Lowercase Letter
ValueCountFrequency (%)
o 11
16.4%
t 10
14.9%
a 9
13.4%
d 7
10.4%
l 7
10.4%
n 4
 
6.0%
b 3
 
4.5%
i 3
 
4.5%
e 3
 
4.5%
r 3
 
4.5%
Other values (5) 7
10.4%
Other Punctuation
ValueCountFrequency (%)
. 16
64.0%
, 9
36.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 138
75.8%
Common 44
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 12
 
8.7%
o 11
 
8.0%
t 10
 
7.2%
C 10
 
7.2%
a 9
 
6.5%
d 7
 
5.1%
l 7
 
5.1%
R 6
 
4.3%
T 5
 
3.6%
I 4
 
2.9%
Other values (24) 57
41.3%
Common
ValueCountFrequency (%)
19
43.2%
. 16
36.4%
, 9
20.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
 
10.4%
. 16
 
8.8%
L 12
 
6.6%
o 11
 
6.0%
t 10
 
5.5%
C 10
 
5.5%
, 9
 
4.9%
a 9
 
4.9%
d 7
 
3.8%
l 7
 
3.8%
Other values (27) 72
39.6%

영문상호주소
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
270 
GENERAL TRAVEL BUSINESS
 
5
General Travel Agency
 
2
General travel business
 
1
General Travel Business
 
1

Length

Max length23
Median length4
Mean length4.5985663
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 270
96.8%
GENERAL TRAVEL BUSINESS 5
 
1.8%
General Travel Agency 2
 
0.7%
General travel business 1
 
0.4%
General Travel Business 1
 
0.4%

Length

2024-05-11T05:52:34.304987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:34.752840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 270
90.9%
general 9
 
3.0%
travel 9
 
3.0%
business 7
 
2.4%
agency 2
 
0.7%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:35.287315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:35.682341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:36.118068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:36.451754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:36.836457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:37.204376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:37.751899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:38.164035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:38.755503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:39.220858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)66.1%
Missing217
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean47.231452
Minimum0
Maximum1081
Zeros15
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:39.703491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4725
median19.09
Q348.455
95-th percentile115.792
Maximum1081
Range1081
Interquartile range (IQR)46.9825

Descriptive statistics

Standard deviation138.07461
Coefficient of variation (CV)2.9233616
Kurtosis53.69853
Mean47.231452
Median Absolute Deviation (MAD)19.09
Skewness7.1052033
Sum2928.35
Variance19064.598
MonotonicityNot monotonic
2024-05-11T05:52:40.709079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 15
 
5.4%
4.0 7
 
2.5%
24.0 2
 
0.7%
58.53 1
 
0.4%
21.16 1
 
0.4%
44.11 1
 
0.4%
20.0 1
 
0.4%
80.28 1
 
0.4%
69.93 1
 
0.4%
62.48 1
 
0.4%
Other values (31) 31
 
11.1%
(Missing) 217
77.8%
ValueCountFrequency (%)
0.0 15
5.4%
1.3 1
 
0.4%
1.99 1
 
0.4%
3.0 1
 
0.4%
4.0 7
2.5%
6.0 1
 
0.4%
9.9 1
 
0.4%
15.0 1
 
0.4%
15.33 1
 
0.4%
17.96 1
 
0.4%
ValueCountFrequency (%)
1081.0 1
0.4%
138.0 1
0.4%
132.2 1
0.4%
116.29 1
0.4%
106.33 1
0.4%
86.52 1
0.4%
84.0 1
0.4%
80.28 1
0.4%
74.0 1
0.4%
73.0 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
257 
0
 
22

Length

Max length4
Median length4
Mean length3.7634409
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> 257
92.1%
0 22
 
7.9%

Length

2024-05-11T05:52:41.255268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:41.826822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
92.1%
0 22
 
7.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

자본금
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)26.7%
Missing174
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean6.9031283 × 108
Minimum0
Maximum2.0782383 × 1010
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:42.315075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1 × 108
Q11 × 108
median2 × 108
Q32.1 × 108
95-th percentile9.887659 × 108
Maximum2.0782383 × 1010
Range2.0782383 × 1010
Interquartile range (IQR)1.1 × 108

Descriptive statistics

Standard deviation2.6656431 × 109
Coefficient of variation (CV)3.8615001
Kurtosis39.092825
Mean6.9031283 × 108
Median Absolute Deviation (MAD)99891322
Skewness6.1083821
Sum7.2482847 × 1010
Variance7.1056529 × 1018
MonotonicityNot monotonic
2024-05-11T05:52:42.796732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
200000000 38
 
13.6%
100000000 29
 
10.4%
300000000 6
 
2.2%
350000000 4
 
1.4%
210000000 3
 
1.1%
50000000 2
 
0.7%
250000000 2
 
0.7%
1000000000 1
 
0.4%
260000000 1
 
0.4%
0 1
 
0.4%
Other values (18) 18
 
6.5%
(Missing) 174
62.4%
ValueCountFrequency (%)
0 1
 
0.4%
50000000 2
 
0.7%
100000000 29
10.4%
100108678 1
 
0.4%
100110000 1
 
0.4%
100699135 1
 
0.4%
100785269 1
 
0.4%
102492000 1
 
0.4%
102549100 1
 
0.4%
107800000 1
 
0.4%
ValueCountFrequency (%)
20782383017 1
0.4%
14173100000 1
0.4%
11347374969 1
0.4%
4221161564 1
0.4%
1761606000 1
0.4%
1000000000 1
0.4%
943829500 1
0.4%
890102017 1
0.4%
530000000 1
0.4%
509821545 1
0.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)95.8%
Missing208
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean20179509
Minimum20100927
Maximum20220322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:43.324920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100927
5-th percentile20135762
Q120151122
median20180822
Q320210116
95-th percentile20215606
Maximum20220322
Range119395
Interquartile range (IQR)58994

Descriptive statistics

Standard deviation28710.764
Coefficient of variation (CV)0.0014227682
Kurtosis-0.41043275
Mean20179509
Median Absolute Deviation (MAD)29488
Skewness-0.50981636
Sum1.4327452 × 109
Variance8.24308 × 108
MonotonicityNot monotonic
2024-05-11T05:52:43.853028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211109 2
 
0.7%
20151215 2
 
0.7%
20151028 2
 
0.7%
20180607 1
 
0.4%
20191104 1
 
0.4%
20180814 1
 
0.4%
20190320 1
 
0.4%
20190321 1
 
0.4%
20210318 1
 
0.4%
20190415 1
 
0.4%
Other values (58) 58
 
20.8%
(Missing) 208
74.6%
ValueCountFrequency (%)
20100927 1
0.4%
20110721 1
0.4%
20120924 1
0.4%
20131004 1
0.4%
20140521 1
0.4%
20140701 1
0.4%
20150107 1
0.4%
20150128 1
0.4%
20150206 1
0.4%
20150212 1
0.4%
ValueCountFrequency (%)
20220322 1
0.4%
20220110 1
0.4%
20220105 1
0.4%
20220102 1
0.4%
20211109 2
0.7%
20211020 1
0.4%
20211015 1
0.4%
20210930 1
0.4%
20210926 1
0.4%
20210726 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)98.6%
Missing208
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean20189538
Minimum20110927
Maximum20230321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:44.513155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110927
5-th percentile20150555
Q120161121
median20190821
Q320220114
95-th percentile20221170
Maximum20230321
Range119394
Interquartile range (IQR)58993.5

Descriptive statistics

Standard deviation28137.238
Coefficient of variation (CV)0.0013936544
Kurtosis-0.30469229
Mean20189538
Median Absolute Deviation (MAD)29488
Skewness-0.52703379
Sum1.4334572 × 109
Variance7.9170419 × 108
MonotonicityNot monotonic
2024-05-11T05:52:45.172842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221108 2
 
0.7%
20200321 1
 
0.4%
20220203 1
 
0.4%
20210819 1
 
0.4%
20220126 1
 
0.4%
20221019 1
 
0.4%
20210506 1
 
0.4%
20200414 1
 
0.4%
20200320 1
 
0.4%
20220309 1
 
0.4%
Other values (60) 60
 
21.5%
(Missing) 208
74.6%
ValueCountFrequency (%)
20110927 1
0.4%
20120720 1
0.4%
20130924 1
0.4%
20141004 1
0.4%
20160106 1
0.4%
20160127 1
0.4%
20160206 1
0.4%
20160211 1
0.4%
20160401 1
0.4%
20160520 1
0.4%
ValueCountFrequency (%)
20230321 1
0.4%
20230109 1
0.4%
20230104 1
0.4%
20221231 1
0.4%
20221108 2
0.7%
20221019 1
0.4%
20221014 1
0.4%
20220929 1
0.4%
20220926 1
0.4%
20220725 1
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing279
Missing (%)100.0%
Memory size2.6 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)58.1%
Missing217
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean47.209677
Minimum0
Maximum1081
Zeros15
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T05:52:45.849044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median19
Q348.5
95-th percentile115.5
Maximum1081
Range1081
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation138.07294
Coefficient of variation (CV)2.9246744
Kurtosis53.706031
Mean47.209677
Median Absolute Deviation (MAD)19
Skewness7.1058604
Sum2927
Variance19064.136
MonotonicityNot monotonic
2024-05-11T05:52:46.401436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 15
 
5.4%
4 7
 
2.5%
24 3
 
1.1%
46 2
 
0.7%
21 2
 
0.7%
18 2
 
0.7%
15 2
 
0.7%
31 1
 
0.4%
44 1
 
0.4%
20 1
 
0.4%
Other values (26) 26
 
9.3%
(Missing) 217
77.8%
ValueCountFrequency (%)
0 15
5.4%
1 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%
4 7
2.5%
6 1
 
0.4%
10 1
 
0.4%
15 2
 
0.7%
18 2
 
0.7%
20 1
 
0.4%
ValueCountFrequency (%)
1081 1
0.4%
138 1
0.4%
132 1
0.4%
116 1
0.4%
106 1
0.4%
87 1
0.4%
84 1
0.4%
80 1
0.4%
74 1
0.4%
73 1
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03170000CDFI226004200500000120051122<NA>3폐업3폐업20091221<NA><NA><NA>866-6200<NA>153781서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 204호서울특별시 금천구 벚꽃로 254, 204호 (가산동,월드메르디앙1차)<NA>(주)아시아나에어텔2009-12-23 07:13:09I2018-08-31 23:59:59.0<NA>189788.849464441731.610479종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFI226004200600000120060411<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-1718<NA>153781서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 205호서울특별시 금천구 벚꽃로 254, 205호 (가산동,월드메르디앙1차)<NA>(주)글로벌투어에이젼시2015-08-12 10:45:38I2018-08-31 23:59:59.0<NA>189788.849464441731.610479종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFI226004200800000120080729<NA>3폐업3폐업20110930<NA><NA><NA>2626-9321<NA>153779서울특별시 금천구 가산동 429-1번지 뉴티캐슬 310호서울특별시 금천구 가산디지털2로 108, 310호 (가산동,뉴티캐슬)<NA>(주)케이에프넷2011-10-20 09:34:14I2018-08-31 23:59:59.0<NA>189364.09597441746.98153종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33170000CDFI226004201000000120100126<NA>3폐업3폐업20121212<NA><NA><NA>2082-5500<NA>153788서울특별시 금천구 가산동 60-73번지 벽산디지털밸리5차 B123호서울특별시 금천구 벚꽃로 244, B123호 (가산동,벽산디지털밸리5차)<NA>(주)비즈브릿지2012-12-13 07:52:22I2018-08-31 23:59:59.0<NA>189829.504143441618.071647종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
43170000CDFI226004201000000220100205<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2626-8417<NA>153023서울특별시 금천구 가산동 429-1번지 뉴티캐슬 203호서울특별시 금천구 가산디지털2로 108 (가산동,뉴티캐슬 203호)<NA>(주)지쓰리코리아2010-02-05 10:45:50I2018-08-31 23:59:59.0<NA>189364.09597441746.98153종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA><NA>
53170000CDFI226004201000000420100322<NA>3폐업3폐업20120329<NA><NA><NA>2104-4857<NA>153782서울특별시 금천구 가산동 345-30번지 남성프라자(에이스9차) 2층, 11층서울특별시 금천구 디지털로 130 (가산동,남성프라자(에이스9차) 2층, 11층)<NA>지에스넥스테이션 주식회사2012-03-30 09:04:55I2018-08-31 23:59:59.0<NA>189472.091899441483.675018종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14173100000<NA><NA><NA><NA>
63170000CDFI226004201000000520100806<NA>1영업/정상13영업중<NA><NA><NA><NA>866-6200<NA>153781서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 204호서울특별시 금천구 벚꽃로 254, 204호 (가산동,월드메르디앙1차)<NA>주식회사 티엠지마케팅솔루션2010-08-06 09:38:50I2018-08-31 23:59:59.0<NA>189788.849464441731.610479종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
73170000CDFI226004201000000620101214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 345-13 파트너스타워 204C호서울특별시 금천구 가산디지털1로 83, 파트너스타워 204C호 (가산동)8589미래투어스쿨(주)2022-05-17 16:22:32U2021-12-04 23:09:00.0<NA>189700.026949441229.110999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFI226004201100000120110119<NA>3폐업3폐업20110831<NA><NA><NA>02-899-9721<NA>153801서울특별시 금천구 가산동 87-225번지 3층서울특별시 금천구 벚꽃로38길 43 (가산동,3층)<NA>(주)신정관광2011-09-02 13:47:56I2018-08-31 23:59:59.0<NA>189735.905543442321.966118종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>106.33<NA><NA><NA><NA><NA><NA><NA><NA>530000000<NA><NA><NA>106
93170000CDFI226004201100000220110208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153781서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 1532호서울특별시 금천구 벚꽃로 254, 1532호 (가산동, 월드메르디앙1차)153781(주)지티에이에스2015-08-25 17:37:14I2018-08-31 23:59:59.0<NA>189788.849464441731.610479종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>29.65<NA><NA><NA><NA><NA><NA><NA><NA>2000000002013100420141004<NA>30
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2693170000CDFI22600420240000112024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 345-50 IT프리미어타워서울특별시 금천구 가산디지털1로 88, IT프리미어타워 2003호 (가산동)8590(주)다은블루2024-03-21 19:36:48U2023-12-02 22:03:00.0<NA>189778.774505441302.111937<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2703170000CDFI22600420240000122024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 680 우림라이온스밸리2차서울특별시 금천구 가산디지털1로 2, 우림라이온스밸리2차 1306호 (가산동)8591에이투씨 코리아2024-03-18 10:17:29I2023-12-02 22:00:00.0<NA>190050.903573440523.497478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2713170000CDFI22600420240000132018-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-41 가산 에스케이 브이원 센터서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 305-322호 (가산동)8503(주)굿코션2024-03-21 13:38:04I2023-12-02 22:03:00.0<NA>189378.332494442066.998665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2723170000CDFI22600420240000142019-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-14서울특별시 금천구 벚꽃로36길 30, 1607호 (가산동)8511주식회사 비긴트립2024-03-26 16:01:23I2023-12-02 22:08:00.0<NA>189767.41675442063.859932<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2733170000CDFI22600420240000152012-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-18 한신IT 타워2차서울특별시 금천구 디지털로9길 47, 한신IT 타워2차 205호 (가산동)8511주식회사 이창투어2024-04-16 15:34:47I2023-12-03 23:08:00.0<NA>189834.383376441938.326057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2743170000CDFI22600420240000162024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-14서울특별시 금천구 벚꽃로36길 30, 1508호 (가산동)8511AZ트래블2024-04-25 15:58:03U2023-12-03 22:07:00.0<NA>189767.41675442063.859932<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2753170000CDFI22600420240000172024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-18 한신IT 타워2차서울특별시 금천구 디지털로9길 47, 한신IT 타워2차 2층 205-A23호 (가산동)8511어스에버(US EVER)2024-05-07 10:22:47U2023-12-05 00:09:00.0<NA>189834.383376441938.326057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2763170000CDFI22600420240000182016-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 1013-7 벽산중심상가서울특별시 금천구 금하로 763, 벽산중심상가 205-P4호 (시흥동)8656코리얼트립2024-04-30 16:51:10I2023-12-05 00:02:00.0<NA>192368.437649438690.814038<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2773170000CDFI22600420240000192024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 143-7서울특별시 금천구 가산로 137, 1208호 (가산동)8515콜라국제 주식회사2024-05-09 11:05:30U2023-12-04 23:01:00.0<NA>190309.542318441703.937676<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2783170000CDFI22600420240000202024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-18 한신IT 타워2차서울특별시 금천구 디지털로9길 47, 한신IT 타워2차 804-13호 (가산동)8511주식회사 그린데이투어2024-05-07 10:26:56U2023-12-05 00:09:00.0<NA>189834.383376441938.326057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>