Overview

Dataset statistics

Number of variables60
Number of observations177
Missing cells4746
Missing cells (%)44.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.8 KiB
Average record size in memory519.7 B

Variable types

Categorical20
Text9
DateTime4
Unsupported17
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-17594/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (79.3%)Imbalance
보험기관명 is highly imbalanced (50.9%)Imbalance
건물용도명 is highly imbalanced (68.6%)Imbalance
지하층수 is highly imbalanced (79.8%)Imbalance
객실수 is highly imbalanced (76.0%)Imbalance
건축연면적 is highly imbalanced (76.0%)Imbalance
선박총톤수 is highly imbalanced (76.0%)Imbalance
선박척수 is highly imbalanced (76.0%)Imbalance
무대면적 is highly imbalanced (76.0%)Imbalance
좌석수 is highly imbalanced (76.0%)Imbalance
회의실별동시수용인원 is highly imbalanced (76.0%)Imbalance
놀이시설수 is highly imbalanced (76.0%)Imbalance
인허가취소일자 has 177 (100.0%) missing valuesMissing
폐업일자 has 104 (58.8%) missing valuesMissing
휴업시작일자 has 177 (100.0%) missing valuesMissing
휴업종료일자 has 177 (100.0%) missing valuesMissing
재개업일자 has 177 (100.0%) missing valuesMissing
전화번호 has 90 (50.8%) missing valuesMissing
소재지면적 has 177 (100.0%) missing valuesMissing
소재지우편번호 has 108 (61.0%) missing valuesMissing
도로명우편번호 has 40 (22.6%) missing valuesMissing
업태구분명 has 177 (100.0%) missing valuesMissing
지역구분명 has 163 (92.1%) missing valuesMissing
총층수 has 156 (88.1%) missing valuesMissing
제작취급품목내용 has 177 (100.0%) missing valuesMissing
지상층수 has 155 (87.6%) missing valuesMissing
영문상호명 has 175 (98.9%) missing valuesMissing
영문상호주소 has 175 (98.9%) missing valuesMissing
선박제원 has 177 (100.0%) missing valuesMissing
기념품종류 has 177 (100.0%) missing valuesMissing
시설면적 has 131 (74.0%) missing valuesMissing
놀이기구수내역 has 177 (100.0%) missing valuesMissing
방송시설유무 has 177 (100.0%) missing valuesMissing
발전시설유무 has 177 (100.0%) missing valuesMissing
의무실유무 has 177 (100.0%) missing valuesMissing
안내소유무 has 177 (100.0%) missing valuesMissing
기획여행보험시작일자 has 177 (100.0%) missing valuesMissing
기획여행보험종료일자 has 177 (100.0%) missing valuesMissing
자본금 has 91 (51.4%) missing valuesMissing
보험시작일자 has 108 (61.0%) missing valuesMissing
보험종료일자 has 108 (61.0%) missing valuesMissing
부대시설내역 has 177 (100.0%) missing valuesMissing
시설규모 has 131 (74.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 8 (4.5%) zerosZeros
지상층수 has 8 (4.5%) zerosZeros
시설면적 has 7 (4.0%) zerosZeros
자본금 has 2 (1.1%) zerosZeros
시설규모 has 7 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:59.646876
Analysis finished2024-05-11 06:08:00.824687
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3170000
177 

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 177
100.0%

Length

2024-05-11T15:08:00.982181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:01.172583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 177
100.0%

관리번호
Text

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:08:01.439224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3540
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

Unique177 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021991000001
2nd rowCDFI2260021992000001
3rd rowCDFI2260021997000001
4th rowCDFI2260021997000002
5th rowCDFI2260022000000001
ValueCountFrequency (%)
cdfi2260021991000001 1
 
0.6%
cdfi2260022017000001 1
 
0.6%
cdfi2260022019000015 1
 
0.6%
cdfi2260022019000006 1
 
0.6%
cdfi2260022019000007 1
 
0.6%
cdfi2260022019000008 1
 
0.6%
cdfi2260022019000009 1
 
0.6%
cdfi2260022019000011 1
 
0.6%
cdfi2260022019000012 1
 
0.6%
cdfi2260022019000013 1
 
0.6%
Other values (167) 167
94.4%
2024-05-11T15:08:01.970425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1411
39.9%
2 798
22.5%
1 212
 
6.0%
6 203
 
5.7%
C 177
 
5.0%
D 177
 
5.0%
F 177
 
5.0%
I 177
 
5.0%
9 48
 
1.4%
3 47
 
1.3%
Other values (4) 113
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2832
80.0%
Uppercase Letter 708
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1411
49.8%
2 798
28.2%
1 212
 
7.5%
6 203
 
7.2%
9 48
 
1.7%
3 47
 
1.7%
4 33
 
1.2%
8 29
 
1.0%
5 29
 
1.0%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 177
25.0%
D 177
25.0%
F 177
25.0%
I 177
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2832
80.0%
Latin 708
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1411
49.8%
2 798
28.2%
1 212
 
7.5%
6 203
 
7.2%
9 48
 
1.7%
3 47
 
1.7%
4 33
 
1.2%
8 29
 
1.0%
5 29
 
1.0%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
C 177
25.0%
D 177
25.0%
F 177
25.0%
I 177
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1411
39.9%
2 798
22.5%
1 212
 
6.0%
6 203
 
5.7%
C 177
 
5.0%
D 177
 
5.0%
F 177
 
5.0%
I 177
 
5.0%
9 48
 
1.4%
3 47
 
1.3%
Other values (4) 113
 
3.2%
Distinct172
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-09-13 00:00:00
Maximum2024-02-22 00:00:00
2024-05-11T15:08:02.234631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:02.454495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB
Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
101 
3
62 
5
 
10
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 101
57.1%
3 62
35.0%
5 10
 
5.6%
4 4
 
2.3%

Length

2024-05-11T15:08:02.657887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:02.849699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 101
57.1%
3 62
35.0%
5 10
 
5.6%
4 4
 
2.3%

영업상태명
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업/정상
101 
폐업
62 
제외/삭제/전출
 
10
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length4.3220339
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 101
57.1%
폐업 62
35.0%
제외/삭제/전출 10
 
5.6%
취소/말소/만료/정지/중지 4
 
2.3%

Length

2024-05-11T15:08:03.037954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:03.254115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 101
57.1%
폐업 62
35.0%
제외/삭제/전출 10
 
5.6%
취소/말소/만료/정지/중지 4
 
2.3%
Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
13
101 
3
62 
15
 
10
30
 
3
35
 
1

Length

Max length2
Median length2
Mean length1.6497175
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 101
57.1%
3 62
35.0%
15 10
 
5.6%
30 3
 
1.7%
35 1
 
0.6%

Length

2024-05-11T15:08:03.458080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:03.664037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 101
57.1%
3 62
35.0%
15 10
 
5.6%
30 3
 
1.7%
35 1
 
0.6%
Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업중
101 
폐업
62 
전출
 
10
허가취소
 
3
직권말소
 
1

Length

Max length4
Median length3
Mean length2.6158192
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 101
57.1%
폐업 62
35.0%
전출 10
 
5.6%
허가취소 3
 
1.7%
직권말소 1
 
0.6%

Length

2024-05-11T15:08:03.891004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:04.090167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 101
57.1%
폐업 62
35.0%
전출 10
 
5.6%
허가취소 3
 
1.7%
직권말소 1
 
0.6%

폐업일자
Date

MISSING 

Distinct70
Distinct (%)95.9%
Missing104
Missing (%)58.8%
Memory size1.5 KiB
Minimum1999-03-25 00:00:00
Maximum2024-03-27 00:00:00
2024-05-11T15:08:04.284302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:04.549706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct85
Distinct (%)97.7%
Missing90
Missing (%)50.8%
Memory size1.5 KiB
2024-05-11T15:08:05.032415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.54023
Min length8

Characters and Unicode

Total characters917
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

Unique83 ?
Unique (%)95.4%

Sample

1st row867-5599
2nd row02-803-8282
3rd row2606-9059
4th row808-8300
5th row2026-0606
ValueCountFrequency (%)
02-802-0083 2
 
2.3%
02-2671-8818 2
 
2.3%
02-2677-5091 1
 
1.1%
02-777-3033 1
 
1.1%
027931102 1
 
1.1%
02-892-8200 1
 
1.1%
070-4671-1455 1
 
1.1%
02-6429-6086 1
 
1.1%
070-4829-1888 1
 
1.1%
02-853-0110 1
 
1.1%
Other values (75) 75
86.2%
2024-05-11T15:08:05.797504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156
17.0%
- 139
15.2%
2 114
12.4%
8 92
10.0%
5 72
7.9%
6 71
7.7%
1 63
6.9%
7 62
 
6.8%
4 55
 
6.0%
9 49
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 778
84.8%
Dash Punctuation 139
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
20.1%
2 114
14.7%
8 92
11.8%
5 72
9.3%
6 71
9.1%
1 63
8.1%
7 62
 
8.0%
4 55
 
7.1%
9 49
 
6.3%
3 44
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 917
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 156
17.0%
- 139
15.2%
2 114
12.4%
8 92
10.0%
5 72
7.9%
6 71
7.7%
1 63
6.9%
7 62
 
6.8%
4 55
 
6.0%
9 49
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 156
17.0%
- 139
15.2%
2 114
12.4%
8 92
10.0%
5 72
7.9%
6 71
7.7%
1 63
6.9%
7 62
 
6.8%
4 55
 
6.0%
9 49
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Text

MISSING 

Distinct40
Distinct (%)58.0%
Missing108
Missing (%)61.0%
Memory size1.5 KiB
2024-05-11T15:08:06.119079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0869565
Min length6

Characters and Unicode

Total characters420
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

Unique25 ?
Unique (%)36.2%

Sample

1st row153-811
2nd row153864
3rd row153830
4th row153861
5th row153814
ValueCountFrequency (%)
153803 6
 
8.7%
153759 5
 
7.2%
153013 4
 
5.8%
153023 4
 
5.8%
153011 3
 
4.3%
153801 3
 
4.3%
153823 3
 
4.3%
153825 2
 
2.9%
153786 2
 
2.9%
153864 2
 
2.9%
Other values (30) 35
50.7%
2024-05-11T15:08:06.615834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 95
22.6%
1 94
22.4%
5 84
20.0%
8 44
10.5%
0 33
 
7.9%
7 26
 
6.2%
6 13
 
3.1%
2 12
 
2.9%
9 9
 
2.1%
- 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
98.6%
Dash Punctuation 6
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 95
22.9%
1 94
22.7%
5 84
20.3%
8 44
10.6%
0 33
 
8.0%
7 26
 
6.3%
6 13
 
3.1%
2 12
 
2.9%
9 9
 
2.2%
4 4
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 95
22.6%
1 94
22.4%
5 84
20.0%
8 44
10.5%
0 33
 
7.9%
7 26
 
6.2%
6 13
 
3.1%
2 12
 
2.9%
9 9
 
2.1%
- 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 95
22.6%
1 94
22.4%
5 84
20.0%
8 44
10.5%
0 33
 
7.9%
7 26
 
6.2%
6 13
 
3.1%
2 12
 
2.9%
9 9
 
2.1%
- 6
 
1.4%
Distinct164
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:08:07.061574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length29.80791
Min length18

Characters and Unicode

Total characters5276
Distinct characters162
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

Unique157 ?
Unique (%)88.7%

Sample

1st row서울특별시 금천구 독산동 286-13
2nd row서울특별시 금천구 시흥동 999-42번지
3rd row서울특별시 금천구 독산동 1031-18번지
4th row서울특별시 금천구 시흥동 954-13번지
5th row서울특별시 금천구 시흥동 999
ValueCountFrequency (%)
서울특별시 177
18.2%
금천구 177
18.2%
가산동 111
 
11.4%
독산동 41
 
4.2%
시흥동 25
 
2.6%
대성디폴리스지식산업센터 9
 
0.9%
b동 7
 
0.7%
543-1 7
 
0.7%
가산 7
 
0.7%
it캐슬 7
 
0.7%
Other values (280) 406
41.7%
2024-05-11T15:08:07.813545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
849
 
16.1%
1 236
 
4.5%
208
 
3.9%
202
 
3.8%
183
 
3.5%
182
 
3.4%
178
 
3.4%
177
 
3.4%
177
 
3.4%
177
 
3.4%
Other values (152) 2707
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
58.4%
Decimal Number 1131
 
21.4%
Space Separator 849
 
16.1%
Dash Punctuation 162
 
3.1%
Uppercase Letter 50
 
0.9%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
208
 
6.8%
202
 
6.6%
183
 
5.9%
182
 
5.9%
178
 
5.8%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
Other values (127) 1241
40.3%
Decimal Number
ValueCountFrequency (%)
1 236
20.9%
0 153
13.5%
2 119
10.5%
5 117
10.3%
3 112
9.9%
4 109
9.6%
6 86
 
7.6%
9 75
 
6.6%
7 71
 
6.3%
8 53
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
26.0%
I 12
24.0%
T 11
22.0%
C 4
 
8.0%
A 3
 
6.0%
Y 2
 
4.0%
H 2
 
4.0%
G 1
 
2.0%
S 1
 
2.0%
J 1
 
2.0%
Space Separator
ValueCountFrequency (%)
849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3079
58.4%
Common 2147
40.7%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
208
 
6.8%
202
 
6.6%
183
 
5.9%
182
 
5.9%
178
 
5.8%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
Other values (127) 1241
40.3%
Common
ValueCountFrequency (%)
849
39.5%
1 236
 
11.0%
- 162
 
7.5%
0 153
 
7.1%
2 119
 
5.5%
5 117
 
5.4%
3 112
 
5.2%
4 109
 
5.1%
6 86
 
4.0%
9 75
 
3.5%
Other values (5) 129
 
6.0%
Latin
ValueCountFrequency (%)
B 13
26.0%
I 12
24.0%
T 11
22.0%
C 4
 
8.0%
A 3
 
6.0%
Y 2
 
4.0%
H 2
 
4.0%
G 1
 
2.0%
S 1
 
2.0%
J 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3079
58.4%
ASCII 2197
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
849
38.6%
1 236
 
10.7%
- 162
 
7.4%
0 153
 
7.0%
2 119
 
5.4%
5 117
 
5.3%
3 112
 
5.1%
4 109
 
5.0%
6 86
 
3.9%
9 75
 
3.4%
Other values (15) 179
 
8.1%
Hangul
ValueCountFrequency (%)
208
 
6.8%
202
 
6.6%
183
 
5.9%
182
 
5.9%
178
 
5.8%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
177
 
5.7%
Other values (127) 1241
40.3%
Distinct171
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:08:08.263368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length40.146893
Min length23

Characters and Unicode

Total characters7106
Distinct characters188
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

Unique166 ?
Unique (%)93.8%

Sample

1st row서울특별시 금천구 시흥대로 406 (독산동)
2nd row서울특별시 금천구 시흥대로 237 (시흥동)
3rd row서울특별시 금천구 시흥대로 356 (독산동)
4th row서울특별시 금천구 시흥대로26길 3 (시흥동)
5th row서울특별시 금천구 시흥대로 257, 2층 (시흥동)
ValueCountFrequency (%)
서울특별시 177
 
14.1%
금천구 177
 
14.1%
가산동 98
 
7.8%
가산디지털1로 41
 
3.3%
독산동 37
 
3.0%
가산디지털2로 25
 
2.0%
시흥대로 24
 
1.9%
시흥동 19
 
1.5%
벚꽃로 15
 
1.2%
디지털로9길 13
 
1.0%
Other values (355) 625
50.0%
2024-05-11T15:08:08.987031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1102
 
15.5%
1 341
 
4.8%
254
 
3.6%
254
 
3.6%
210
 
3.0%
, 210
 
3.0%
200
 
2.8%
189
 
2.7%
187
 
2.6%
2 186
 
2.6%
Other values (178) 3973
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4013
56.5%
Decimal Number 1306
 
18.4%
Space Separator 1102
 
15.5%
Other Punctuation 210
 
3.0%
Close Punctuation 180
 
2.5%
Open Punctuation 180
 
2.5%
Uppercase Letter 67
 
0.9%
Dash Punctuation 45
 
0.6%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
254
 
6.3%
254
 
6.3%
210
 
5.2%
200
 
5.0%
189
 
4.7%
187
 
4.7%
183
 
4.6%
177
 
4.4%
177
 
4.4%
177
 
4.4%
Other values (147) 2005
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 14
20.9%
I 13
19.4%
T 13
19.4%
A 6
9.0%
C 4
 
6.0%
S 3
 
4.5%
G 2
 
3.0%
R 2
 
3.0%
H 2
 
3.0%
Y 2
 
3.0%
Other values (5) 6
9.0%
Decimal Number
ValueCountFrequency (%)
1 341
26.1%
2 186
14.2%
0 176
13.5%
3 137
10.5%
6 91
 
7.0%
5 80
 
6.1%
8 79
 
6.0%
9 79
 
6.0%
4 77
 
5.9%
7 60
 
4.6%
Space Separator
ValueCountFrequency (%)
1102
100.0%
Other Punctuation
ValueCountFrequency (%)
, 210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4013
56.5%
Common 3026
42.6%
Latin 67
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
254
 
6.3%
254
 
6.3%
210
 
5.2%
200
 
5.0%
189
 
4.7%
187
 
4.7%
183
 
4.6%
177
 
4.4%
177
 
4.4%
177
 
4.4%
Other values (147) 2005
50.0%
Common
ValueCountFrequency (%)
1102
36.4%
1 341
 
11.3%
, 210
 
6.9%
2 186
 
6.1%
) 180
 
5.9%
( 180
 
5.9%
0 176
 
5.8%
3 137
 
4.5%
6 91
 
3.0%
5 80
 
2.6%
Other values (6) 343
 
11.3%
Latin
ValueCountFrequency (%)
B 14
20.9%
I 13
19.4%
T 13
19.4%
A 6
9.0%
C 4
 
6.0%
S 3
 
4.5%
G 2
 
3.0%
R 2
 
3.0%
H 2
 
3.0%
Y 2
 
3.0%
Other values (5) 6
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4013
56.5%
ASCII 3093
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1102
35.6%
1 341
 
11.0%
, 210
 
6.8%
2 186
 
6.0%
) 180
 
5.8%
( 180
 
5.8%
0 176
 
5.7%
3 137
 
4.4%
6 91
 
2.9%
5 80
 
2.6%
Other values (21) 410
 
13.3%
Hangul
ValueCountFrequency (%)
254
 
6.3%
254
 
6.3%
210
 
5.2%
200
 
5.0%
189
 
4.7%
187
 
4.7%
183
 
4.6%
177
 
4.4%
177
 
4.4%
177
 
4.4%
Other values (147) 2005
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)37.2%
Missing40
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean22304.453
Minimum8500
Maximum153813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:09.218243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8503
Q18505
median8512
Q38594
95-th percentile153764.4
Maximum153813
Range145313
Interquartile range (IQR)89

Descriptive statistics

Standard deviation42668.929
Coefficient of variation (CV)1.9130229
Kurtosis5.9001221
Mean22304.453
Median Absolute Deviation (MAD)9
Skewness2.7953741
Sum3055710
Variance1.8206375 × 109
MonotonicityNot monotonic
2024-05-11T15:08:09.491350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8506 14
 
7.9%
8505 14
 
7.9%
8504 12
 
6.8%
8511 9
 
5.1%
8503 7
 
4.0%
8510 6
 
3.4%
8589 4
 
2.3%
8531 4
 
2.3%
8639 4
 
2.3%
8594 4
 
2.3%
Other values (41) 59
33.3%
(Missing) 40
22.6%
ValueCountFrequency (%)
8500 1
 
0.6%
8501 1
 
0.6%
8502 2
 
1.1%
8503 7
4.0%
8504 12
6.8%
8505 14
7.9%
8506 14
7.9%
8507 2
 
1.1%
8510 6
3.4%
8511 9
5.1%
ValueCountFrequency (%)
153813 1
0.6%
153807 1
0.6%
153803 2
1.1%
153802 1
0.6%
153786 2
1.1%
153759 1
0.6%
153715 1
0.6%
153713 1
0.6%
153023 1
0.6%
153013 1
0.6%
Distinct175
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:08:09.921134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length16
Mean length8.4011299
Min length2

Characters and Unicode

Total characters1487
Distinct characters276
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)97.7%

Sample

1st row(주)소양여행사
2nd row(주)보라여행사
3rd row(주)와룡공사
4th row(주)마음과마음여행사
5th row에스엠여행사
ValueCountFrequency (%)
주식회사 33
 
14.4%
tour 6
 
2.6%
트래포트(주 2
 
0.9%
고려여행사 2
 
0.9%
공정여행신나는동행 1
 
0.4%
주)코리아에프앤티 1
 
0.4%
mc투어 1
 
0.4%
주)소양여행사 1
 
0.4%
팔레트립 1
 
0.4%
다물코퍼레이션 1
 
0.4%
Other values (180) 180
78.6%
2024-05-11T15:08:10.642413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
7.0%
( 80
 
5.4%
) 80
 
5.4%
76
 
5.1%
52
 
3.5%
51
 
3.4%
49
 
3.3%
46
 
3.1%
46
 
3.1%
37
 
2.5%
Other values (266) 866
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1156
77.7%
Uppercase Letter 84
 
5.6%
Open Punctuation 81
 
5.4%
Close Punctuation 81
 
5.4%
Space Separator 52
 
3.5%
Lowercase Letter 25
 
1.7%
Decimal Number 4
 
0.3%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
 
9.0%
76
 
6.6%
51
 
4.4%
49
 
4.2%
46
 
4.0%
46
 
4.0%
37
 
3.2%
36
 
3.1%
35
 
3.0%
29
 
2.5%
Other values (226) 647
56.0%
Uppercase Letter
ValueCountFrequency (%)
T 15
17.9%
R 8
9.5%
A 7
 
8.3%
S 6
 
7.1%
O 6
 
7.1%
N 6
 
7.1%
I 5
 
6.0%
U 4
 
4.8%
M 4
 
4.8%
L 4
 
4.8%
Other values (10) 19
22.6%
Lowercase Letter
ValueCountFrequency (%)
o 8
32.0%
r 4
16.0%
a 3
 
12.0%
u 3
 
12.0%
d 2
 
8.0%
m 2
 
8.0%
n 1
 
4.0%
l 1
 
4.0%
c 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 80
98.8%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 80
98.8%
] 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
9 3
75.0%
2 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1157
77.8%
Common 221
 
14.9%
Latin 109
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
 
9.0%
76
 
6.6%
51
 
4.4%
49
 
4.2%
46
 
4.0%
46
 
4.0%
37
 
3.2%
36
 
3.1%
35
 
3.0%
29
 
2.5%
Other values (227) 648
56.0%
Latin
ValueCountFrequency (%)
T 15
 
13.8%
o 8
 
7.3%
R 8
 
7.3%
A 7
 
6.4%
S 6
 
5.5%
O 6
 
5.5%
N 6
 
5.5%
I 5
 
4.6%
r 4
 
3.7%
U 4
 
3.7%
Other values (19) 40
36.7%
Common
ValueCountFrequency (%)
( 80
36.2%
) 80
36.2%
52
23.5%
9 3
 
1.4%
[ 1
 
0.5%
] 1
 
0.5%
2 1
 
0.5%
- 1
 
0.5%
. 1
 
0.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1156
77.7%
ASCII 330
 
22.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
104
 
9.0%
76
 
6.6%
51
 
4.4%
49
 
4.2%
46
 
4.0%
46
 
4.0%
37
 
3.2%
36
 
3.1%
35
 
3.0%
29
 
2.5%
Other values (226) 647
56.0%
ASCII
ValueCountFrequency (%)
( 80
24.2%
) 80
24.2%
52
15.8%
T 15
 
4.5%
o 8
 
2.4%
R 8
 
2.4%
A 7
 
2.1%
S 6
 
1.8%
O 6
 
1.8%
N 6
 
1.8%
Other values (29) 62
18.8%
None
ValueCountFrequency (%)
1
100.0%
Distinct176
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2003-02-06 14:38:21
Maximum2024-03-28 16:22:33
2024-05-11T15:08:10.877012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:11.139653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
U
100 
I
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 100
56.5%
I 77
43.5%

Length

2024-05-11T15:08:11.378635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:11.562830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 100
56.5%
i 77
43.5%
Distinct100
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:00:00
2024-05-11T15:08:11.776442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:12.384408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct92
Distinct (%)52.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean190102.09
Minimum189016.47
Maximum192385.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:12.679375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189016.47
5-th percentile189055.14
Q1189378.33
median189789.59
Q3190918.69
95-th percentile191388.3
Maximum192385.23
Range3368.7601
Interquartile range (IQR)1540.3607

Descriptive statistics

Standard deviation841.12022
Coefficient of variation (CV)0.0044245712
Kurtosis-0.8898279
Mean190102.09
Median Absolute Deviation (MAD)586.98644
Skewness0.58689396
Sum33457968
Variance707483.22
MonotonicityNot monotonic
2024-05-11T15:08:12.970082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189202.600232089 11
 
6.2%
189055.138252216 10
 
5.6%
191226.287379467 8
 
4.5%
189369.53962474 8
 
4.5%
189748.024164036 6
 
3.4%
189378.332493727 6
 
3.4%
189538.020935968 6
 
3.4%
189700.026948955 4
 
2.3%
189459.065518928 4
 
2.3%
189788.849463856 4
 
2.3%
Other values (82) 109
61.6%
ValueCountFrequency (%)
189016.465808265 1
 
0.6%
189055.138252216 10
5.6%
189092.729912585 2
 
1.1%
189120.986846924 1
 
0.6%
189174.558570016 1
 
0.6%
189188.74756733 1
 
0.6%
189202.600232089 11
6.2%
189282.557380259 2
 
1.1%
189325.86426015 2
 
1.1%
189350.592434703 1
 
0.6%
ValueCountFrequency (%)
192385.225875306 1
0.6%
192368.43764933 1
0.6%
191911.448935236 1
0.6%
191907.282736278 1
0.6%
191794.387105728 1
0.6%
191622.156646446 1
0.6%
191455.783624599 1
0.6%
191439.728683583 1
0.6%
191391.967280466 1
0.6%
191387.071870962 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct92
Distinct (%)52.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean441162.68
Minimum437752.77
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:13.265158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437752.77
5-th percentile438322.09
Q1440813.7
median441629.36
Q3441958.33
95-th percentile442174.42
Maximum442636.32
Range4883.5518
Interquartile range (IQR)1144.6354

Descriptive statistics

Standard deviation1184.8683
Coefficient of variation (CV)0.0026857854
Kurtosis1.3304548
Mean441162.68
Median Absolute Deviation (MAD)388.50604
Skewness-1.5136438
Sum77644632
Variance1403912.9
MonotonicityNot monotonic
2024-05-11T15:08:13.536271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441848.24299943 11
 
6.2%
441958.334400683 10
 
5.6%
437914.06299827 8
 
4.5%
441629.361414684 8
 
4.5%
442174.424111843 6
 
3.4%
442066.99866487 6
 
3.4%
441982.427934953 6
 
3.4%
441229.110998601 4
 
2.3%
441844.960857588 4
 
2.3%
441731.610478567 4
 
2.3%
Other values (82) 109
61.6%
ValueCountFrequency (%)
437752.768322431 1
 
0.6%
437914.06299827 8
4.5%
438458.097193512 1
 
0.6%
438690.814038292 1
 
0.6%
438756.598068106 1
 
0.6%
438765.406099377 1
 
0.6%
438835.716467349 1
 
0.6%
438865.160717275 3
 
1.7%
439019.034334962 1
 
0.6%
439079.04005683 1
 
0.6%
ValueCountFrequency (%)
442636.320100968 1
 
0.6%
442493.020182986 1
 
0.6%
442417.955057116 2
 
1.1%
442320.784167212 1
 
0.6%
442309.174987731 1
 
0.6%
442262.659278232 2
 
1.1%
442174.424111843 6
3.4%
442143.206055455 1
 
0.6%
442139.514492212 3
1.7%
442093.648596802 2
 
1.1%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
국내외여행업
110 
<NA>
67 

Length

Max length6
Median length6
Mean length5.2429379
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 110
62.1%
<NA> 67
37.9%

Length

2024-05-11T15:08:13.810300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:13.995657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 110
62.1%
na 67
37.9%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
144 
관광사업
33 

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> 144
81.4%
관광사업 33
 
18.6%

Length

2024-05-11T15:08:14.199451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:14.379469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
81.4%
관광사업 33
 
18.6%

지역구분명
Text

MISSING 

Distinct7
Distinct (%)50.0%
Missing163
Missing (%)92.1%
Memory size1.5 KiB
2024-05-11T15:08:14.583957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.3571429
Min length4

Characters and Unicode

Total characters75
Distinct characters12
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

Unique4 ?
Unique (%)28.6%

Sample

1st row준공업지역
2nd row근린상업지역
3rd row일반주거지역
4th row일반주거지역
5th row준공업지역
ValueCountFrequency (%)
준공업지역 4
28.6%
근린상업지역 4
28.6%
일반주거지역 2
14.3%
공업지역 1
 
7.1%
준주거지역 1
 
7.1%
주거지역 1
 
7.1%
일반상업지역 1
 
7.1%
2024-05-11T15:08:15.114866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
18.7%
14
18.7%
10
13.3%
5
 
6.7%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (2) 6
8.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
18.7%
14
18.7%
10
13.3%
5
 
6.7%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (2) 6
8.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
18.7%
14
18.7%
10
13.3%
5
 
6.7%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (2) 6
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
18.7%
14
18.7%
10
13.3%
5
 
6.7%
5
 
6.7%
5
 
6.7%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (2) 6
8.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)33.3%
Missing156
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.2380952
Minimum0
Maximum10
Zeros8
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:15.315605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5279391
Coefficient of variation (CV)1.1295047
Kurtosis3.0718706
Mean2.2380952
Median Absolute Deviation (MAD)2
Skewness1.4895266
Sum47
Variance6.3904762
MonotonicityNot monotonic
2024-05-11T15:08:15.485943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
 
4.5%
2 4
 
2.3%
4 3
 
1.7%
3 2
 
1.1%
5 2
 
1.1%
1 1
 
0.6%
10 1
 
0.6%
(Missing) 156
88.1%
ValueCountFrequency (%)
0 8
4.5%
1 1
 
0.6%
2 4
2.3%
3 2
 
1.1%
4 3
 
1.7%
5 2
 
1.1%
10 1
 
0.6%
ValueCountFrequency (%)
10 1
 
0.6%
5 2
 
1.1%
4 3
 
1.7%
3 2
 
1.1%
2 4
2.3%
1 1
 
0.6%
0 8
4.5%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
165 
기타
 
10
주택가주변
 
1
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.8983051
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
93.2%
기타 10
 
5.6%
주택가주변 1
 
0.6%
아파트지역 1
 
0.6%

Length

2024-05-11T15:08:15.704523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:15.882327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
93.2%
기타 10
 
5.6%
주택가주변 1
 
0.6%
아파트지역 1
 
0.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

보험기관명
Categorical

IMBALANCE 

Distinct17
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
113 
서울보증보험주식회사
21 
서울보증보험
17 
한국관광협회중앙회
 
6
한국관광협회중앙회 여행공제회
 
5
Other values (12)
15 

Length

Max length19
Median length4
Mean length5.9265537
Min length4

Unique

Unique10 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
63.8%
서울보증보험주식회사 21
 
11.9%
서울보증보험 17
 
9.6%
한국관광협회중앙회 6
 
3.4%
한국관광협회중앙회 여행공제회 5
 
2.8%
여행공제회 3
 
1.7%
한국관광협회 2
 
1.1%
한국보증보험주식회사 1
 
0.6%
관광공제회(30,000,000) 1
 
0.6%
관광협회중앙회(30,000,000) 1
 
0.6%
Other values (7) 7
 
4.0%

Length

2024-05-11T15:08:16.065113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 113
62.1%
서울보증보험주식회사 21
 
11.5%
서울보증보험 17
 
9.3%
한국관광협회중앙회 11
 
6.0%
여행공제회 8
 
4.4%
한국관광협회 2
 
1.1%
한국보증보험주식회사 1
 
0.5%
관광공제회(30,000,000 1
 
0.5%
관광협회중앙회(30,000,000 1
 
0.5%
서울보증보험(3천만원 1
 
0.5%
Other values (6) 6
 
3.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
156 
근린생활시설
17 
사무실
 
3
기타
 
1

Length

Max length6
Median length4
Mean length4.1638418
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
88.1%
근린생활시설 17
 
9.6%
사무실 3
 
1.7%
기타 1
 
0.6%

Length

2024-05-11T15:08:16.284656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:16.470912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
88.1%
근린생활시설 17
 
9.6%
사무실 3
 
1.7%
기타 1
 
0.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)27.3%
Missing155
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean1.5454545
Minimum0
Maximum5
Zeros8
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:16.593940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5345939
Coefficient of variation (CV)0.99297251
Kurtosis-0.39314646
Mean1.5454545
Median Absolute Deviation (MAD)1.5
Skewness0.68853243
Sum34
Variance2.3549784
MonotonicityNot monotonic
2024-05-11T15:08:16.730130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8
 
4.5%
2 6
 
3.4%
1 3
 
1.7%
3 2
 
1.1%
4 2
 
1.1%
5 1
 
0.6%
(Missing) 155
87.6%
ValueCountFrequency (%)
0 8
4.5%
1 3
 
1.7%
2 6
3.4%
3 2
 
1.1%
4 2
 
1.1%
5 1
 
0.6%
ValueCountFrequency (%)
5 1
 
0.6%
4 2
 
1.1%
3 2
 
1.1%
2 6
3.4%
1 3
 
1.7%
0 8
4.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
166 
0
 
8
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.8135593
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 166
93.8%
0 8
 
4.5%
1 2
 
1.1%
2 1
 
0.6%

Length

2024-05-11T15:08:16.887019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.030863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
93.8%
0 8
 
4.5%
1 2
 
1.1%
2 1
 
0.6%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:17.253200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.461101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:17.650924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.810189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing175
Missing (%)98.9%
Memory size1.5 KiB
2024-05-11T15:08:17.964507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length14
Min length12

Characters and Unicode

Total characters28
Distinct characters22
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowD.K.H Travel
2nd rowBisnau Co., Ltd.
ValueCountFrequency (%)
d.k.h 1
20.0%
travel 1
20.0%
bisnau 1
20.0%
co 1
20.0%
ltd 1
20.0%
2024-05-11T15:08:18.328784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4
 
14.3%
3
 
10.7%
a 2
 
7.1%
D 1
 
3.6%
s 1
 
3.6%
t 1
 
3.6%
L 1
 
3.6%
, 1
 
3.6%
o 1
 
3.6%
C 1
 
3.6%
Other values (12) 12
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13
46.4%
Uppercase Letter 7
25.0%
Other Punctuation 5
 
17.9%
Space Separator 3
 
10.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2
15.4%
s 1
7.7%
t 1
7.7%
o 1
7.7%
u 1
7.7%
n 1
7.7%
i 1
7.7%
l 1
7.7%
e 1
7.7%
v 1
7.7%
Other values (2) 2
15.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
14.3%
L 1
14.3%
C 1
14.3%
B 1
14.3%
T 1
14.3%
H 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20
71.4%
Common 8
 
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
 
10.0%
D 1
 
5.0%
s 1
 
5.0%
t 1
 
5.0%
L 1
 
5.0%
o 1
 
5.0%
C 1
 
5.0%
u 1
 
5.0%
n 1
 
5.0%
B 1
 
5.0%
Other values (9) 9
45.0%
Common
ValueCountFrequency (%)
. 4
50.0%
3
37.5%
, 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4
 
14.3%
3
 
10.7%
a 2
 
7.1%
D 1
 
3.6%
s 1
 
3.6%
t 1
 
3.6%
L 1
 
3.6%
, 1
 
3.6%
o 1
 
3.6%
C 1
 
3.6%
Other values (12) 12
42.9%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing175
Missing (%)98.9%
Memory size1.5 KiB
2024-05-11T15:08:18.503204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters48
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowOverseas Travel Business
2nd rowOVERSEAS TRAVEL BUSINESS
ValueCountFrequency (%)
overseas 2
33.3%
travel 2
33.3%
business 2
33.3%
2024-05-11T15:08:18.899932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 5
 
10.4%
s 5
 
10.4%
e 4
 
8.3%
E 4
 
8.3%
4
 
8.3%
B 2
 
4.2%
R 2
 
4.2%
V 2
 
4.2%
v 2
 
4.2%
O 2
 
4.2%
Other values (12) 16
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 25
52.1%
Lowercase Letter 19
39.6%
Space Separator 4
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 5
20.0%
E 4
16.0%
B 2
 
8.0%
R 2
 
8.0%
V 2
 
8.0%
O 2
 
8.0%
A 2
 
8.0%
T 2
 
8.0%
U 1
 
4.0%
L 1
 
4.0%
Other values (2) 2
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
s 5
26.3%
e 4
21.1%
v 2
 
10.5%
a 2
 
10.5%
r 2
 
10.5%
i 1
 
5.3%
n 1
 
5.3%
u 1
 
5.3%
l 1
 
5.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44
91.7%
Common 4
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 5
 
11.4%
s 5
 
11.4%
e 4
 
9.1%
E 4
 
9.1%
B 2
 
4.5%
R 2
 
4.5%
V 2
 
4.5%
v 2
 
4.5%
O 2
 
4.5%
A 2
 
4.5%
Other values (11) 14
31.8%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 5
 
10.4%
s 5
 
10.4%
e 4
 
8.3%
E 4
 
8.3%
4
 
8.3%
B 2
 
4.2%
R 2
 
4.2%
V 2
 
4.2%
v 2
 
4.2%
O 2
 
4.2%
Other values (12) 16
33.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:19.165318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:19.362028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:19.574045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:19.815367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:20.013864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:20.227190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:20.420191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:20.606432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:20.797516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:20.980819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)67.4%
Missing131
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean280.64304
Minimum0
Maximum11088
Zeros7
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:21.190287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18.295
Q352.8
95-th percentile186.905
Maximum11088
Range11088
Interquartile range (IQR)48.8

Descriptive statistics

Standard deviation1629.8243
Coefficient of variation (CV)5.8074638
Kurtosis45.884733
Mean280.64304
Median Absolute Deviation (MAD)14.85
Skewness6.7699517
Sum12909.58
Variance2656327.3
MonotonicityNot monotonic
2024-05-11T15:08:21.431060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 7
 
4.0%
4.0 6
 
3.4%
15.0 3
 
1.7%
52.8 2
 
1.1%
30.0 2
 
1.1%
46.84 1
 
0.6%
69.42 1
 
0.6%
16.5 1
 
0.6%
110.88 1
 
0.6%
11088.0 1
 
0.6%
Other values (21) 21
 
11.9%
(Missing) 131
74.0%
ValueCountFrequency (%)
0.0 7
4.0%
3.3 1
 
0.6%
4.0 6
3.4%
8.0 1
 
0.6%
10.0 1
 
0.6%
13.2 1
 
0.6%
15.0 3
1.7%
15.4 1
 
0.6%
15.43 1
 
0.6%
16.5 1
 
0.6%
ValueCountFrequency (%)
11088.0 1
0.6%
269.68 1
0.6%
205.16 1
0.6%
132.14 1
0.6%
116.0 1
0.6%
112.79 1
0.6%
110.88 1
0.6%
99.89 1
0.6%
82.13 1
0.6%
69.42 1
0.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
170 
0
 
7

Length

Max length4
Median length4
Mean length3.8813559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 170
96.0%
0 7
 
4.0%

Length

2024-05-11T15:08:21.666462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:21.887107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
96.0%
0 7
 
4.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)33.7%
Missing91
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean4.1029549 × 108
Minimum0
Maximum2.85 × 1010
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:22.194484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median60341011
Q31 × 108
95-th percentile1.7284727 × 108
Maximum2.85 × 1010
Range2.85 × 1010
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation3.0650003 × 109
Coefficient of variation (CV)7.4702267
Kurtosis85.956486
Mean4.1029549 × 108
Median Absolute Deviation (MAD)30341011
Skewness9.2701459
Sum3.5285412 × 1010
Variance9.3942269 × 1018
MonotonicityNot monotonic
2024-05-11T15:08:22.386049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
60000000 24
 
13.6%
100000000 17
 
9.6%
30000000 11
 
6.2%
150000000 6
 
3.4%
90000000 2
 
1.1%
0 2
 
1.1%
110000000 2
 
1.1%
61045016 1
 
0.6%
132999434 1
 
0.6%
91227997 1
 
0.6%
Other values (19) 19
 
10.7%
(Missing) 91
51.4%
ValueCountFrequency (%)
0 2
 
1.1%
30000000 11
6.2%
30630916 1
 
0.6%
31000000 1
 
0.6%
33025756 1
 
0.6%
42000000 1
 
0.6%
46463572 1
 
0.6%
50000000 1
 
0.6%
60000000 24
13.6%
60682022 1
 
0.6%
ValueCountFrequency (%)
28500000000 1
 
0.6%
290000000 1
 
0.6%
230000000 1
 
0.6%
200000000 1
 
0.6%
180463024 1
 
0.6%
150000000 6
 
3.4%
132999434 1
 
0.6%
110000000 2
 
1.1%
100420000 1
 
0.6%
100000000 17
9.6%

보험시작일자
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)100.0%
Missing108
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean20152301
Minimum20021202
Maximum20220303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:22.609993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021202
5-th percentile20042763
Q120141015
median20160719
Q320190319
95-th percentile20210779
Maximum20220303
Range199101
Interquartile range (IQR)49304

Descriptive statistics

Standard deviation50575.802
Coefficient of variation (CV)0.0025096788
Kurtosis0.37344043
Mean20152301
Median Absolute Deviation (MAD)20495
Skewness-1.0225211
Sum1.3905087 × 109
Variance2.5579118 × 109
MonotonicityNot monotonic
2024-05-11T15:08:23.221239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161015 1
 
0.6%
20170612 1
 
0.6%
20180427 1
 
0.6%
20170821 1
 
0.6%
20220207 1
 
0.6%
20191212 1
 
0.6%
20140722 1
 
0.6%
20180119 1
 
0.6%
20190320 1
 
0.6%
20180101 1
 
0.6%
Other values (59) 59
33.3%
(Missing) 108
61.0%
ValueCountFrequency (%)
20021202 1
0.6%
20030410 1
0.6%
20030731 1
0.6%
20030918 1
0.6%
20060530 1
0.6%
20060710 1
0.6%
20070625 1
0.6%
20070914 1
0.6%
20080926 1
0.6%
20081007 1
0.6%
ValueCountFrequency (%)
20220303 1
0.6%
20220207 1
0.6%
20211110 1
0.6%
20210819 1
0.6%
20210720 1
0.6%
20210622 1
0.6%
20210617 1
0.6%
20210607 1
0.6%
20210305 1
0.6%
20200428 1
0.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)100.0%
Missing108
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean20162460
Minimum20031202
Maximum20230302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:23.511871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031202
5-th percentile20052763
Q120151014
median20170718
Q320200318
95-th percentile20220778
Maximum20230302
Range199100
Interquartile range (IQR)49304

Descriptive statistics

Standard deviation50267.322
Coefficient of variation (CV)0.0024931146
Kurtosis0.40553773
Mean20162460
Median Absolute Deviation (MAD)20495
Skewness-1.0256029
Sum1.3912097 × 109
Variance2.5268037 × 109
MonotonicityNot monotonic
2024-05-11T15:08:23.804356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171014 1
 
0.6%
20180611 1
 
0.6%
20190426 1
 
0.6%
20180820 1
 
0.6%
20230206 1
 
0.6%
20201212 1
 
0.6%
20150721 1
 
0.6%
20190118 1
 
0.6%
20200319 1
 
0.6%
20181231 1
 
0.6%
Other values (59) 59
33.3%
(Missing) 108
61.0%
ValueCountFrequency (%)
20031202 1
0.6%
20040410 1
0.6%
20040831 1
0.6%
20040918 1
0.6%
20070530 1
0.6%
20080625 1
0.6%
20080710 1
0.6%
20080913 1
0.6%
20090926 1
0.6%
20091008 1
0.6%
ValueCountFrequency (%)
20230302 1
0.6%
20230206 1
0.6%
20221109 1
0.6%
20220818 1
0.6%
20220719 1
0.6%
20220621 1
0.6%
20220616 1
0.6%
20220607 1
0.6%
20220305 1
0.6%
20210428 1
0.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing177
Missing (%)100.0%
Memory size1.7 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)63.0%
Missing131
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean280.63043
Minimum0
Maximum11088
Zeros7
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:08:24.072197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18.5
Q353
95-th percentile186.75
Maximum11088
Range11088
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1629.8273
Coefficient of variation (CV)5.8077355
Kurtosis45.884597
Mean280.63043
Median Absolute Deviation (MAD)15
Skewness6.7699373
Sum12909
Variance2656337.1
MonotonicityNot monotonic
2024-05-11T15:08:24.341171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 7
 
4.0%
4 6
 
3.4%
15 5
 
2.8%
53 2
 
1.1%
30 2
 
1.1%
23 1
 
0.6%
3 1
 
0.6%
20 1
 
0.6%
82 1
 
0.6%
8 1
 
0.6%
Other values (19) 19
 
10.7%
(Missing) 131
74.0%
ValueCountFrequency (%)
0 7
4.0%
3 1
 
0.6%
4 6
3.4%
8 1
 
0.6%
10 1
 
0.6%
13 1
 
0.6%
15 5
2.8%
17 1
 
0.6%
20 1
 
0.6%
22 1
 
0.6%
ValueCountFrequency (%)
11088 1
0.6%
270 1
0.6%
205 1
0.6%
132 1
0.6%
116 1
0.6%
113 1
0.6%
111 1
0.6%
100 1
0.6%
82 1
0.6%
69 1
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03170000CDFI22600219910000011991-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA>867-5599<NA>153-811서울특별시 금천구 독산동 286-13서울특별시 금천구 시흥대로 406 (독산동)<NA>(주)소양여행사2023-06-27 10:23:34U2022-12-05 22:09:00.0<NA>190957.773712440837.971496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFI226002199200000119921123<NA>3폐업3폐업20000303<NA><NA><NA><NA><NA>153864서울특별시 금천구 시흥동 999-42번지서울특별시 금천구 시흥대로 237 (시흥동)<NA>(주)보라여행사2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>191090.156646439210.504325국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23170000CDFI226002199700000119970312<NA>3폐업3폐업20000111<NA><NA><NA><NA><NA>153830서울특별시 금천구 독산동 1031-18번지서울특별시 금천구 시흥대로 356 (독산동)<NA>(주)와룡공사2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>190905.66632440347.635712국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33170000CDFI226002199700000219970906<NA>3폐업3폐업19990325<NA><NA><NA><NA><NA>153861서울특별시 금천구 시흥동 954-13번지서울특별시 금천구 시흥대로26길 3 (시흥동)<NA>(주)마음과마음여행사2003-02-06 15:08:16I2018-08-31 23:59:59.0<NA>191439.728684437752.768322국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43170000CDFI226002200000000120000229<NA>1영업/정상13영업중<NA><NA><NA><NA>02-803-8282<NA><NA>서울특별시 금천구 시흥동 999서울특별시 금천구 시흥대로 257, 2층 (시흥동)8614에스엠여행사2021-12-22 17:49:49U2021-12-24 02:40:00.0<NA>191034.246327439391.009326국내외여행업관광사업<NA>0<NA><NA>서울시관광협회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02021061720220616<NA>0
53170000CDFI226002200100000220010123<NA>1영업/정상13영업중<NA><NA><NA><NA>2606-9059<NA>153814서울특별시 금천구 독산동 333-2번지 삼양솔리브오피스텔 822호서울특별시 금천구 두산로 28, 822호 (독산동,삼양솔리브오피스텔)<NA>(주)한인투어2007-12-11 16:37:48I2018-08-31 23:59:59.0<NA>190279.864467440880.176751국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFI226002200200000120020402<NA>3폐업3폐업20180419<NA><NA><NA>808-8300<NA>153863서울특별시 금천구 시흥동 984번지 유통상가A지원동 214호서울특별시 금천구 시흥대로 97, 214호 (시흥동,유통상가A지원동)<NA>싱싱투어(주)2018-04-19 10:48:49I2018-08-31 23:59:59.0<NA>191226.287379437914.062998국내외여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2008100720091008<NA><NA>
73170000CDFI226002200200000220021202<NA>3폐업3폐업20060915<NA><NA><NA><NA><NA>153755서울특별시 금천구 시흥동 984번지 유통상가 31동 345호서울특별시 금천구 시흥대로 97, 31동 345호 (시흥동,유통상가)<NA>알고가자프랑스2006-09-18 10:32:48I2018-08-31 23:59:59.0<NA>191226.287379437914.062998국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2002120220031202<NA><NA>
83170000CDFI226002200300000120030707<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>153809서울특별시 금천구 독산동 200-10번지 건설빌딩301서울특별시 금천구 가산로 33 (독산동,건설빌딩301)<NA>대국항공투어합자회사2007-11-01 15:22:44I2018-08-31 23:59:59.0<NA>191013.682027441003.614308국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2003073120040831<NA><NA>
93170000CDFI226002200300000220030410<NA>3폐업3폐업20061027<NA><NA><NA><NA><NA>153809서울특별시 금천구 독산동 200-10번지 건설빌딩 301호서울특별시 금천구 가산로 33, 301호 (독산동,건설빌딩)<NA>(주)대보블루투어2006-10-27 11:42:54I2018-08-31 23:59:59.0<NA>191013.682027441003.614308국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2003041020040410<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1673170000CDFI22600220230000102023-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 984 시흥유통상가서울특별시 금천구 시흥대로 97, 시흥유통상가 30동 345호 (시흥동)8639㈜올레디2023-09-14 18:05:15U2022-12-08 23:06:00.0<NA>191226.287379437914.062998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1683170000CDFI22600220230000112023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-59 신한이노플렉스서울특별시 금천구 가산디지털1로 149, 신한이노플렉스 305A-12호 (가산동)8506파리콜밴(파리준)2023-09-14 14:33:45U2022-12-08 23:06:00.0<NA>189459.065519441844.960858<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1693170000CDFI22600220230000122023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 670 대륭테크노타운17차서울특별시 금천구 가산디지털1로 25, 대륭테크노타운17차 1806~1809호 (가산동)8594리퓨어헬스케어 주식회사2023-09-08 13:11:39I2022-12-08 23:00:00.0<NA>189863.599517440684.494001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1703170000CDFI22600220230000132023-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 266-2875 사회적경제 허브센터서울특별시 금천구 탑골로8길 23, 사회적경제 허브센터 4층 402호 (시흥동)8656사회적협동조합 공정여행신나는동행2023-11-06 10:33:44U2022-11-01 00:08:00.0<NA>192385.225875438756.598068<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1713170000CDFI22600220230000142013-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-14서울특별시 금천구 벚꽃로36길 30, 가산 KS TOWER 1510호 (가산동)8511(주)페후여행사2023-12-14 13:07:22I2022-11-01 23:06:00.0<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>
1723170000CDFI22600220240000012015-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 869-26서울특별시 금천구 시흥대로76길 11, 1층 (시흥동)8624고려여행사2024-01-09 12:06:03I2023-11-30 23:01:00.0<NA>191101.813004439569.84338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1733170000CDFI22600220240000022024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 691 대륭테크노타운 20차서울특별시 금천구 가산디지털1로 5, 대륭테크노타운 20차 20층 2026-4호 (가산동)8594에어라인카페2024-01-31 08:55:49U2023-12-02 00:02:00.0<NA>189920.528611440521.855249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1743170000CDFI22600220240000032024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1150 금천 롯데캐슬 골드파크 2차서울특별시 금천구 벚꽃로 30, 205동 142호 (독산동, 금천 롯데캐슬 골드파크 2차)8608본 투어(Born Tour)2024-02-27 13:36:31U2023-12-01 22:09:00.0<NA>190567.418316439569.401459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1753170000CDFI22600220240000042017-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-59 신한이노플렉스서울특별시 금천구 가산디지털1로 149, 신한이노플렉스 3층 303-10호 (가산동)8506데이다2024-03-28 16:22:33U2023-12-02 21:00:00.0<NA>189459.065519441844.960858<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763170000CDFI22600220240000052010-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 291-7 홈플러스 금천점서울특별시 금천구 시흥대로 391, 홈플러스 금천점 (독산동)8584(주)빛나투어2024-03-21 17:28:19I2023-12-02 22:03:00.0<NA>190809.50784440728.382273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>