Overview

Dataset statistics

Number of variables60
Number of observations198
Missing cells4905
Missing cells (%)41.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.1 KiB
Average record size in memory517.7 B

Variable types

Categorical21
Text8
DateTime6
Unsupported15
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17593/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (79.0%)Imbalance
주변환경명 is highly imbalanced (81.0%)Imbalance
건물용도명 is highly imbalanced (67.5%)Imbalance
지하층수 is highly imbalanced (84.7%)Imbalance
객실수 is highly imbalanced (88.7%)Imbalance
건축연면적 is highly imbalanced (88.7%)Imbalance
선박총톤수 is highly imbalanced (88.7%)Imbalance
선박척수 is highly imbalanced (88.7%)Imbalance
무대면적 is highly imbalanced (88.7%)Imbalance
좌석수 is highly imbalanced (88.7%)Imbalance
회의실별동시수용인원 is highly imbalanced (88.7%)Imbalance
놀이시설수 is highly imbalanced (88.7%)Imbalance
인허가취소일자 has 198 (100.0%) missing valuesMissing
폐업일자 has 51 (25.8%) missing valuesMissing
휴업시작일자 has 196 (99.0%) missing valuesMissing
휴업종료일자 has 196 (99.0%) missing valuesMissing
재개업일자 has 198 (100.0%) missing valuesMissing
전화번호 has 68 (34.3%) missing valuesMissing
소재지면적 has 198 (100.0%) missing valuesMissing
소재지우편번호 has 98 (49.5%) missing valuesMissing
도로명우편번호 has 33 (16.7%) missing valuesMissing
업태구분명 has 198 (100.0%) missing valuesMissing
총층수 has 183 (92.4%) missing valuesMissing
제작취급품목내용 has 198 (100.0%) missing valuesMissing
지상층수 has 175 (88.4%) missing valuesMissing
영문상호명 has 194 (98.0%) missing valuesMissing
영문상호주소 has 195 (98.5%) missing valuesMissing
선박제원 has 198 (100.0%) missing valuesMissing
기념품종류 has 198 (100.0%) missing valuesMissing
시설면적 has 132 (66.7%) missing valuesMissing
놀이기구수내역 has 198 (100.0%) missing valuesMissing
방송시설유무 has 198 (100.0%) missing valuesMissing
발전시설유무 has 198 (100.0%) missing valuesMissing
의무실유무 has 198 (100.0%) missing valuesMissing
안내소유무 has 198 (100.0%) missing valuesMissing
기획여행보험시작일자 has 198 (100.0%) missing valuesMissing
기획여행보험종료일자 has 198 (100.0%) missing valuesMissing
자본금 has 87 (43.9%) missing valuesMissing
보험시작일자 has 97 (49.0%) missing valuesMissing
보험종료일자 has 97 (49.0%) missing valuesMissing
부대시설내역 has 198 (100.0%) missing valuesMissing
시설규모 has 132 (66.7%) 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
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 2 (1.0%) zerosZeros
지상층수 has 2 (1.0%) zerosZeros

Reproduction

Analysis started2024-04-06 10:48:34.770125
Analysis finished2024-04-06 10:48:36.243528
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3160000
198 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 198
100.0%

Length

2024-04-06T19:48:36.364432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:36.548127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 198
100.0%

관리번호
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T19:48:36.845017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3960
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

Unique198 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021994000001
2nd rowCDFI2260021994000002
3rd rowCDFI2260021996000001
4th rowCDFI2260021998000001
5th rowCDFI2260021999000001
ValueCountFrequency (%)
cdfi2260021994000001 1
 
0.5%
cdfi2260022016000010 1
 
0.5%
cdfi2260022016000013 1
 
0.5%
cdfi2260022016000014 1
 
0.5%
cdfi2260022016000015 1
 
0.5%
cdfi2260022017000001 1
 
0.5%
cdfi2260022017000004 1
 
0.5%
cdfi2260022017000006 1
 
0.5%
cdfi2260022017000007 1
 
0.5%
cdfi2260022017000008 1
 
0.5%
Other values (188) 188
94.9%
2024-04-06T19:48:37.431663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1597
40.3%
2 869
21.9%
6 235
 
5.9%
1 220
 
5.6%
C 198
 
5.0%
D 198
 
5.0%
F 198
 
5.0%
I 198
 
5.0%
9 48
 
1.2%
4 45
 
1.1%
Other values (4) 154
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3168
80.0%
Uppercase Letter 792
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1597
50.4%
2 869
27.4%
6 235
 
7.4%
1 220
 
6.9%
9 48
 
1.5%
4 45
 
1.4%
8 45
 
1.4%
3 42
 
1.3%
7 39
 
1.2%
5 28
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 198
25.0%
D 198
25.0%
F 198
25.0%
I 198
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3168
80.0%
Latin 792
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1597
50.4%
2 869
27.4%
6 235
 
7.4%
1 220
 
6.9%
9 48
 
1.5%
4 45
 
1.4%
8 45
 
1.4%
3 42
 
1.3%
7 39
 
1.2%
5 28
 
0.9%
Latin
ValueCountFrequency (%)
C 198
25.0%
D 198
25.0%
F 198
25.0%
I 198
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1597
40.3%
2 869
21.9%
6 235
 
5.9%
1 220
 
5.6%
C 198
 
5.0%
D 198
 
5.0%
F 198
 
5.0%
I 198
 
5.0%
9 48
 
1.2%
4 45
 
1.1%
Other values (4) 154
 
3.9%
Distinct192
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1994-07-12 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T19:48:37.758348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:38.200017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB
Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
134 
1
49 
5
 
11
2
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 134
67.7%
1 49
 
24.7%
5 11
 
5.6%
2 2
 
1.0%
4 2
 
1.0%

Length

2024-04-06T19:48:38.470114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:38.635687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 134
67.7%
1 49
 
24.7%
5 11
 
5.6%
2 2
 
1.0%
4 2
 
1.0%

영업상태명
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
134 
영업/정상
49 
제외/삭제/전출
 
11
휴업
 
2
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.1969697
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 134
67.7%
영업/정상 49
 
24.7%
제외/삭제/전출 11
 
5.6%
휴업 2
 
1.0%
취소/말소/만료/정지/중지 2
 
1.0%

Length

2024-04-06T19:48:38.872572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:39.070093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 134
67.7%
영업/정상 49
 
24.7%
제외/삭제/전출 11
 
5.6%
휴업 2
 
1.0%
취소/말소/만료/정지/중지 2
 
1.0%
Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
134 
13
49 
15
 
11
2
 
2
35
 
2

Length

Max length2
Median length1
Mean length1.3131313
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 134
67.7%
13 49
 
24.7%
15 11
 
5.6%
2 2
 
1.0%
35 2
 
1.0%

Length

2024-04-06T19:48:39.343602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:39.588746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 134
67.7%
13 49
 
24.7%
15 11
 
5.6%
2 2
 
1.0%
35 2
 
1.0%
Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
134 
영업중
49 
전출
 
11
휴업
 
2
직권말소
 
2

Length

Max length4
Median length2
Mean length2.2676768
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 134
67.7%
영업중 49
 
24.7%
전출 11
 
5.6%
휴업 2
 
1.0%
직권말소 2
 
1.0%

Length

2024-04-06T19:48:39.847459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:40.078718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 134
67.7%
영업중 49
 
24.7%
전출 11
 
5.6%
휴업 2
 
1.0%
직권말소 2
 
1.0%

폐업일자
Date

MISSING 

Distinct144
Distinct (%)98.0%
Missing51
Missing (%)25.8%
Memory size1.7 KiB
Minimum2003-09-23 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T19:48:40.349852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:40.761873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing196
Missing (%)99.0%
Memory size1.7 KiB
Minimum2021-10-20 00:00:00
Maximum2023-06-29 00:00:00
2024-04-06T19:48:40.968421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:41.193644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing196
Missing (%)99.0%
Memory size1.7 KiB
Minimum2022-10-20 00:00:00
Maximum2024-06-28 00:00:00
2024-04-06T19:48:41.379784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:41.663747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct129
Distinct (%)99.2%
Missing68
Missing (%)34.3%
Memory size1.7 KiB
2024-04-06T19:48:42.088887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length11.030769
Min length8

Characters and Unicode

Total characters1434
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)98.5%

Sample

1st row868-6000
2nd row02-2636-9411
3rd row02-2625-1105
4th row02-6679-4000
5th row2677-3485
ValueCountFrequency (%)
02-722-3373 2
 
1.5%
070-4010-5281 1
 
0.7%
028585859 1
 
0.7%
070-4027-6050 1
 
0.7%
6100 1
 
0.7%
070-7668-6141 1
 
0.7%
8861 1
 
0.7%
853 1
 
0.7%
02 1
 
0.7%
02-2057-4443 1
 
0.7%
Other values (124) 124
91.9%
2024-04-06T19:48:42.812427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
15.8%
- 219
15.3%
2 180
12.6%
6 145
10.1%
8 129
9.0%
7 124
8.6%
5 112
7.8%
3 97
6.8%
1 83
 
5.8%
4 63
 
4.4%
Other values (4) 56
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1206
84.1%
Dash Punctuation 219
 
15.3%
Space Separator 5
 
0.3%
Math Symbol 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
18.7%
2 180
14.9%
6 145
12.0%
8 129
10.7%
7 124
10.3%
5 112
9.3%
3 97
8.0%
1 83
 
6.9%
4 63
 
5.2%
9 47
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1434
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
15.8%
- 219
15.3%
2 180
12.6%
6 145
10.1%
8 129
9.0%
7 124
8.6%
5 112
7.8%
3 97
6.8%
1 83
 
5.8%
4 63
 
4.4%
Other values (4) 56
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1434
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
15.8%
- 219
15.3%
2 180
12.6%
6 145
10.1%
8 129
9.0%
7 124
8.6%
5 112
7.8%
3 97
6.8%
1 83
 
5.8%
4 63
 
4.4%
Other values (4) 56
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)57.0%
Missing98
Missing (%)49.5%
Memory size1.7 KiB
2024-04-06T19:48:43.252139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.09
Min length6

Characters and Unicode

Total characters609
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

Unique35 ?
Unique (%)35.0%

Sample

1st row152845
2nd row152-863
3rd row152866
4th row152806
5th row152-766
ValueCountFrequency (%)
152800 6
 
6.0%
152842 5
 
5.0%
152858 5
 
5.0%
152848 4
 
4.0%
152775 4
 
4.0%
152838 4
 
4.0%
152770 3
 
3.0%
152845 3
 
3.0%
152864 3
 
3.0%
152748 3
 
3.0%
Other values (47) 60
60.0%
2024-04-06T19:48:43.951858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 130
21.3%
2 114
18.7%
1 112
18.4%
8 93
15.3%
7 44
 
7.2%
0 32
 
5.3%
4 29
 
4.8%
6 25
 
4.1%
9 15
 
2.5%
- 9
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
98.5%
Dash Punctuation 9
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 130
21.7%
2 114
19.0%
1 112
18.7%
8 93
15.5%
7 44
 
7.3%
0 32
 
5.3%
4 29
 
4.8%
6 25
 
4.2%
9 15
 
2.5%
3 6
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 130
21.3%
2 114
18.7%
1 112
18.4%
8 93
15.3%
7 44
 
7.2%
0 32
 
5.3%
4 29
 
4.8%
6 25
 
4.1%
9 15
 
2.5%
- 9
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 130
21.3%
2 114
18.7%
1 112
18.4%
8 93
15.3%
7 44
 
7.2%
0 32
 
5.3%
4 29
 
4.8%
6 25
 
4.1%
9 15
 
2.5%
- 9
 
1.5%
Distinct186
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T19:48:44.431704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length28.959596
Min length15

Characters and Unicode

Total characters5734
Distinct characters196
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

Unique177 ?
Unique (%)89.4%

Sample

1st row서울특별시 구로구 구로동 120번지 정현탑웨딩홀 1층
2nd row서울특별시 구로구 구로동 597-47 아성빌딩 2층
3rd row서울특별시 구로구 구로동 1258 중앙유통단지
4th row서울특별시 구로구 구로동 1258 중앙유통단지
5th row서울특별시 구로구 구로동 1262번지 월드프라자 1층 23호
ValueCountFrequency (%)
서울특별시 198
18.5%
구로구 198
18.5%
구로동 130
 
12.1%
신도림동 17
 
1.6%
1층 16
 
1.5%
오류동 15
 
1.4%
가리봉동 13
 
1.2%
고척동 12
 
1.1%
2층 10
 
0.9%
개봉동 8
 
0.7%
Other values (354) 455
42.4%
2024-04-06T19:48:45.499046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
930
 
16.2%
529
 
9.2%
333
 
5.8%
1 291
 
5.1%
214
 
3.7%
203
 
3.5%
201
 
3.5%
198
 
3.5%
198
 
3.5%
198
 
3.5%
Other values (186) 2439
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3432
59.9%
Decimal Number 1196
 
20.9%
Space Separator 930
 
16.2%
Dash Punctuation 168
 
2.9%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
529
15.4%
333
 
9.7%
214
 
6.2%
203
 
5.9%
201
 
5.9%
198
 
5.8%
198
 
5.8%
198
 
5.8%
138
 
4.0%
109
 
3.2%
Other values (167) 1111
32.4%
Decimal Number
ValueCountFrequency (%)
1 291
24.3%
2 168
14.0%
0 149
12.5%
3 114
 
9.5%
4 99
 
8.3%
6 92
 
7.7%
7 85
 
7.1%
5 73
 
6.1%
8 64
 
5.4%
9 61
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
w 2
50.0%
s 1
25.0%
t 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3432
59.9%
Common 2296
40.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
529
15.4%
333
 
9.7%
214
 
6.2%
203
 
5.9%
201
 
5.9%
198
 
5.8%
198
 
5.8%
198
 
5.8%
138
 
4.0%
109
 
3.2%
Other values (167) 1111
32.4%
Common
ValueCountFrequency (%)
930
40.5%
1 291
 
12.7%
2 168
 
7.3%
- 168
 
7.3%
0 149
 
6.5%
3 114
 
5.0%
4 99
 
4.3%
6 92
 
4.0%
7 85
 
3.7%
5 73
 
3.2%
Other values (4) 127
 
5.5%
Latin
ValueCountFrequency (%)
w 2
33.3%
E 1
16.7%
s 1
16.7%
t 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3432
59.9%
ASCII 2302
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
930
40.4%
1 291
 
12.6%
2 168
 
7.3%
- 168
 
7.3%
0 149
 
6.5%
3 114
 
5.0%
4 99
 
4.3%
6 92
 
4.0%
7 85
 
3.7%
5 73
 
3.2%
Other values (9) 133
 
5.8%
Hangul
ValueCountFrequency (%)
529
15.4%
333
 
9.7%
214
 
6.2%
203
 
5.9%
201
 
5.9%
198
 
5.8%
198
 
5.8%
198
 
5.8%
138
 
4.0%
109
 
3.2%
Other values (167) 1111
32.4%
Distinct193
Distinct (%)98.0%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-04-06T19:48:45.983855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length36.908629
Min length22

Characters and Unicode

Total characters7271
Distinct characters216
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)95.9%

Sample

1st row서울특별시 구로구 도림천로 344, 1층 (구로동, 정현탑웨딩홀)
2nd row서울특별시 구로구 경인로 544, 2층 (구로동, 아성빌딩)
3rd row서울특별시 구로구 경인로53길 15, 중앙유통단지 D동 지층 06-01호 (구로동)
4th row서울특별시 구로구 경인로53길 15, 중앙유통단지 바동 지층 69호 (구로동)
5th row서울특별시 구로구 구로중앙로 229 (구로동, 월드프라자 1층 23호)
ValueCountFrequency (%)
서울특별시 197
 
14.8%
구로구 197
 
14.8%
구로동 112
 
8.4%
경인로 29
 
2.2%
1층 24
 
1.8%
2층 19
 
1.4%
신도림동 15
 
1.1%
오류동 13
 
1.0%
가리봉동 13
 
1.0%
디지털로 11
 
0.8%
Other values (428) 704
52.8%
2024-04-06T19:48:46.751372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1166
 
16.0%
565
 
7.8%
564
 
7.8%
1 272
 
3.7%
, 255
 
3.5%
243
 
3.3%
2 224
 
3.1%
202
 
2.8%
200
 
2.8%
198
 
2.7%
Other values (206) 3382
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4185
57.6%
Decimal Number 1224
 
16.8%
Space Separator 1166
 
16.0%
Other Punctuation 255
 
3.5%
Open Punctuation 197
 
2.7%
Close Punctuation 197
 
2.7%
Dash Punctuation 35
 
0.5%
Uppercase Letter 6
 
0.1%
Lowercase Letter 4
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
565
 
13.5%
564
 
13.5%
243
 
5.8%
202
 
4.8%
200
 
4.8%
198
 
4.7%
197
 
4.7%
197
 
4.7%
124
 
3.0%
93
 
2.2%
Other values (181) 1602
38.3%
Decimal Number
ValueCountFrequency (%)
1 272
22.2%
2 224
18.3%
0 154
12.6%
3 127
10.4%
6 93
 
7.6%
4 86
 
7.0%
5 76
 
6.2%
9 70
 
5.7%
7 64
 
5.2%
8 58
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
P 1
16.7%
E 1
16.7%
D 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
w 2
50.0%
t 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
1166
100.0%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4185
57.6%
Common 3075
42.3%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
565
 
13.5%
564
 
13.5%
243
 
5.8%
202
 
4.8%
200
 
4.8%
198
 
4.7%
197
 
4.7%
197
 
4.7%
124
 
3.0%
93
 
2.2%
Other values (181) 1602
38.3%
Common
ValueCountFrequency (%)
1166
37.9%
1 272
 
8.8%
, 255
 
8.3%
2 224
 
7.3%
( 197
 
6.4%
) 197
 
6.4%
0 154
 
5.0%
3 127
 
4.1%
6 93
 
3.0%
4 86
 
2.8%
Other values (6) 304
 
9.9%
Latin
ValueCountFrequency (%)
w 2
18.2%
A 2
18.2%
B 1
9.1%
P 1
9.1%
1
9.1%
t 1
9.1%
s 1
9.1%
E 1
9.1%
D 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4185
57.6%
ASCII 3085
42.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1166
37.8%
1 272
 
8.8%
, 255
 
8.3%
2 224
 
7.3%
( 197
 
6.4%
) 197
 
6.4%
0 154
 
5.0%
3 127
 
4.1%
6 93
 
3.0%
4 86
 
2.8%
Other values (14) 314
 
10.2%
Hangul
ValueCountFrequency (%)
565
 
13.5%
564
 
13.5%
243
 
5.8%
202
 
4.8%
200
 
4.8%
198
 
4.7%
197
 
4.7%
197
 
4.7%
124
 
3.0%
93
 
2.2%
Other values (181) 1602
38.3%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)48.5%
Missing33
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean18815.6
Minimum8200
Maximum152880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:47.041491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8200
5-th percentile8208
Q18270
median8305
Q38381
95-th percentile152828.4
Maximum152880
Range144680
Interquartile range (IQR)111

Descriptive statistics

Standard deviation37647.996
Coefficient of variation (CV)2.0008926
Kurtosis9.1391188
Mean18815.6
Median Absolute Deviation (MAD)72
Skewness3.3209095
Sum3104574
Variance1.4173716 × 109
MonotonicityNot monotonic
2024-04-06T19:48:47.280926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8390 9
 
4.5%
8381 9
 
4.5%
8271 8
 
4.0%
8208 7
 
3.5%
8322 5
 
2.5%
8289 4
 
2.0%
8215 4
 
2.0%
8376 4
 
2.0%
8298 4
 
2.0%
8320 3
 
1.5%
Other values (70) 108
54.5%
(Missing) 33
 
16.7%
ValueCountFrequency (%)
8200 2
 
1.0%
8202 1
 
0.5%
8208 7
3.5%
8209 2
 
1.0%
8210 1
 
0.5%
8212 2
 
1.0%
8213 2
 
1.0%
8214 2
 
1.0%
8215 4
2.0%
8216 1
 
0.5%
ValueCountFrequency (%)
152880 1
0.5%
152858 2
1.0%
152850 1
0.5%
152847 1
0.5%
152846 1
0.5%
152845 1
0.5%
152838 1
0.5%
152829 1
0.5%
152826 1
0.5%
152800 1
0.5%
Distinct192
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T19:48:48.058016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length17
Mean length8.1111111
Min length2

Characters and Unicode

Total characters1606
Distinct characters297
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

Unique186 ?
Unique (%)93.9%

Sample

1st row(주)네스트투어
2nd row(주)신길여행
3rd row(주)임페리얼여행사
4th row(주)세종관광여행사
5th row(주)홍일항공여행사
ValueCountFrequency (%)
주식회사 5
 
2.3%
여행사 3
 
1.4%
승리사 2
 
0.9%
푸라하 2
 
0.9%
대지여행사 2
 
0.9%
한중국제여행사 2
 
0.9%
신원여행사 2
 
0.9%
스타투어 2
 
0.9%
주)투어블리스 1
 
0.5%
주)시사매거진스타멤버쉽 1
 
0.5%
Other values (199) 199
90.0%
2024-04-06T19:48:48.783690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 130
 
8.1%
( 130
 
8.1%
127
 
7.9%
64
 
4.0%
60
 
3.7%
60
 
3.7%
50
 
3.1%
48
 
3.0%
48
 
3.0%
34
 
2.1%
Other values (287) 855
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
77.2%
Close Punctuation 130
 
8.1%
Open Punctuation 130
 
8.1%
Lowercase Letter 37
 
2.3%
Uppercase Letter 35
 
2.2%
Space Separator 23
 
1.4%
Other Punctuation 7
 
0.4%
Decimal Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
127
 
10.2%
64
 
5.2%
60
 
4.8%
60
 
4.8%
50
 
4.0%
48
 
3.9%
48
 
3.9%
34
 
2.7%
27
 
2.2%
20
 
1.6%
Other values (246) 702
56.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
20.0%
I 3
8.6%
A 3
8.6%
L 3
8.6%
E 3
8.6%
N 2
 
5.7%
C 2
 
5.7%
R 2
 
5.7%
H 2
 
5.7%
W 1
 
2.9%
Other values (7) 7
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 8
21.6%
n 6
16.2%
e 4
10.8%
a 3
 
8.1%
t 3
 
8.1%
g 2
 
5.4%
d 2
 
5.4%
y 2
 
5.4%
r 2
 
5.4%
k 1
 
2.7%
Other values (4) 4
10.8%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
& 1
 
14.3%
, 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
5 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
77.2%
Common 294
 
18.3%
Latin 72
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
127
 
10.2%
64
 
5.2%
60
 
4.8%
60
 
4.8%
50
 
4.0%
48
 
3.9%
48
 
3.9%
34
 
2.7%
27
 
2.2%
20
 
1.6%
Other values (246) 702
56.6%
Latin
ValueCountFrequency (%)
o 8
 
11.1%
S 7
 
9.7%
n 6
 
8.3%
e 4
 
5.6%
a 3
 
4.2%
t 3
 
4.2%
I 3
 
4.2%
A 3
 
4.2%
L 3
 
4.2%
E 3
 
4.2%
Other values (21) 29
40.3%
Common
ValueCountFrequency (%)
) 130
44.2%
( 130
44.2%
23
 
7.8%
. 5
 
1.7%
& 1
 
0.3%
, 1
 
0.3%
2 1
 
0.3%
- 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
77.2%
ASCII 366
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 130
35.5%
( 130
35.5%
23
 
6.3%
o 8
 
2.2%
S 7
 
1.9%
n 6
 
1.6%
. 5
 
1.4%
e 4
 
1.1%
a 3
 
0.8%
t 3
 
0.8%
Other values (31) 47
 
12.8%
Hangul
ValueCountFrequency (%)
127
 
10.2%
64
 
5.2%
60
 
4.8%
60
 
4.8%
50
 
4.0%
48
 
3.9%
48
 
3.9%
34
 
2.7%
27
 
2.2%
20
 
1.6%
Other values (246) 702
56.6%

최종수정일자
Date

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2004-02-19 09:59:08
Maximum2024-04-04 10:42:48
2024-04-06T19:48:49.054794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:49.341960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
U
121 
I
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 121
61.1%
I 77
38.9%

Length

2024-04-06T19:48:49.556076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:49.753267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 121
61.1%
i 77
38.9%
Distinct97
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:48:49.972749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:50.236293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct138
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189470.52
Minimum183726.7
Maximum191156.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:50.529110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183726.7
5-th percentile185960.16
Q1189198.4
median190034.46
Q3190453.09
95-th percentile190822.85
Maximum191156.46
Range7429.7551
Interquartile range (IQR)1254.6922

Descriptive statistics

Standard deviation1504.1707
Coefficient of variation (CV)0.0079388111
Kurtosis1.6667697
Mean189470.52
Median Absolute Deviation (MAD)473.88163
Skewness-1.5842512
Sum37515163
Variance2262529.4
MonotonicityNot monotonic
2024-04-06T19:48:50.772185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190005.132500398 8
 
4.0%
190461.790473157 6
 
3.0%
190680.536850936 5
 
2.5%
190822.851419439 5
 
2.5%
190349.885855531 4
 
2.0%
190099.876807711 3
 
1.5%
190594.904645635 3
 
1.5%
186144.880821445 3
 
1.5%
185797.184093366 3
 
1.5%
188840.515865617 3
 
1.5%
Other values (128) 155
78.3%
ValueCountFrequency (%)
183726.703010057 1
 
0.5%
184459.312860748 1
 
0.5%
185797.184093366 3
1.5%
185867.982684839 1
 
0.5%
185875.875759586 1
 
0.5%
185934.050827759 2
1.0%
185960.164604807 2
1.0%
186015.738369848 1
 
0.5%
186079.559805793 1
 
0.5%
186144.880821445 3
1.5%
ValueCountFrequency (%)
191156.458136149 1
 
0.5%
190967.257864999 1
 
0.5%
190959.454833283 2
 
1.0%
190951.334281004 1
 
0.5%
190901.977946718 1
 
0.5%
190850.393432023 1
 
0.5%
190847.613859557 1
 
0.5%
190845.231594802 1
 
0.5%
190822.851419439 5
2.5%
190776.468544178 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct138
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443580.89
Minimum441862.85
Maximum445795.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:51.105078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441862.85
5-th percentile442253.13
Q1442647.7
median443636.81
Q3444306.77
95-th percentile445250.54
Maximum445795.07
Range3932.2107
Interquartile range (IQR)1659.0733

Descriptive statistics

Standard deviation965.80401
Coefficient of variation (CV)0.0021772895
Kurtosis-1.0362406
Mean443580.89
Median Absolute Deviation (MAD)885.39336
Skewness0.12098883
Sum87829017
Variance932777.38
MonotonicityNot monotonic
2024-04-06T19:48:51.391321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445250.538868558 8
 
4.0%
442368.090413171 6
 
3.0%
442392.645303533 5
 
2.5%
442253.132895893 5
 
2.5%
444836.673561831 4
 
2.0%
442822.787200988 3
 
1.5%
442261.654499191 3
 
1.5%
443706.570673762 3
 
1.5%
443629.410643222 3
 
1.5%
444306.771104527 3
 
1.5%
Other values (128) 155
78.3%
ValueCountFrequency (%)
441862.85496884 2
 
1.0%
442033.904122927 2
 
1.0%
442154.992807483 1
 
0.5%
442160.748706313 1
 
0.5%
442196.001535591 1
 
0.5%
442253.132895893 5
2.5%
442261.654499191 3
1.5%
442279.869179424 1
 
0.5%
442286.627799245 1
 
0.5%
442305.216740774 1
 
0.5%
ValueCountFrequency (%)
445795.065707973 2
 
1.0%
445430.97917589 1
 
0.5%
445250.538868558 8
4.0%
445157.626366229 2
 
1.0%
445045.801388601 1
 
0.5%
444978.682746138 2
 
1.0%
444921.078748984 2
 
1.0%
444854.82736913 1
 
0.5%
444836.673561831 4
2.0%
444822.310112893 2
 
1.0%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
국내외여행업
121 
<NA>
77 

Length

Max length6
Median length6
Mean length5.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 121
61.1%
<NA> 77
38.9%

Length

2024-04-06T19:48:51.688619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:51.910481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 121
61.1%
na 77
38.9%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
144 
관광사업
54 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
72.7%
관광사업 54
 
27.3%

Length

2024-04-06T19:48:52.107538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:52.341530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
72.7%
관광사업 54
 
27.3%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
183 
준공업지역
 
5
일반주거지역
 
5
근린상업지역
 
3
주거지역
 
1

Length

Max length6
Median length4
Mean length4.1161616
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 183
92.4%
준공업지역 5
 
2.5%
일반주거지역 5
 
2.5%
근린상업지역 3
 
1.5%
주거지역 1
 
0.5%
일반상업지역 1
 
0.5%

Length

2024-04-06T19:48:52.571708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:52.833580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
92.4%
준공업지역 5
 
2.5%
일반주거지역 5
 
2.5%
근린상업지역 3
 
1.5%
주거지역 1
 
0.5%
일반상업지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)80.0%
Missing183
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean8.6
Minimum0
Maximum30
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:53.043715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q312.5
95-th percentile27.2
Maximum30
Range30
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation9.2102427
Coefficient of variation (CV)1.0709585
Kurtosis1.1516155
Mean8.6
Median Absolute Deviation (MAD)4
Skewness1.3745284
Sum129
Variance84.828571
MonotonicityNot monotonic
2024-04-06T19:48:53.266029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3
 
1.5%
0 2
 
1.0%
6 1
 
0.5%
15 1
 
0.5%
14 1
 
0.5%
26 1
 
0.5%
9 1
 
0.5%
30 1
 
0.5%
11 1
 
0.5%
5 1
 
0.5%
Other values (2) 2
 
1.0%
(Missing) 183
92.4%
ValueCountFrequency (%)
0 2
1.0%
2 3
1.5%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
9 1
 
0.5%
11 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
ValueCountFrequency (%)
30 1
0.5%
26 1
0.5%
15 1
0.5%
14 1
0.5%
11 1
0.5%
9 1
0.5%
6 1
0.5%
5 1
0.5%
4 1
0.5%
3 1
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
189 
기타
 
7
주택가주변
 
2

Length

Max length5
Median length4
Mean length3.9393939
Min length2

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> 189
95.5%
기타 7
 
3.5%
주택가주변 2
 
1.0%

Length

2024-04-06T19:48:53.519616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:53.748676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
95.5%
기타 7
 
3.5%
주택가주변 2
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

보험기관명
Categorical

Distinct16
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
101 
서울보증보험주식회사
30 
한국관광협회중앙회
26 
서울보증보험(주)
 
10
한국관광협회중앙회 여행공제회
 
8
Other values (11)
23 

Length

Max length18
Median length4
Mean length6.8030303
Min length4

Unique

Unique9 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
51.0%
서울보증보험주식회사 30
 
15.2%
한국관광협회중앙회 26
 
13.1%
서울보증보험(주) 10
 
5.1%
한국관광협회중앙회 여행공제회 8
 
4.0%
서울시관광협회 8
 
4.0%
서울보증보험 6
 
3.0%
서울특별시관광협회 1
 
0.5%
관광협회중앙회 1
 
0.5%
서울관광협회 1
 
0.5%
Other values (6) 6
 
3.0%

Length

2024-04-06T19:48:53.981151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 101
48.8%
한국관광협회중앙회 34
 
16.4%
서울보증보험주식회사 30
 
14.5%
서울보증보험(주 10
 
4.8%
여행공제회 9
 
4.3%
서울시관광협회 8
 
3.9%
서울보증보험 6
 
2.9%
서울특별시관광협회 1
 
0.5%
관광협회중앙회 1
 
0.5%
서울관광협회 1
 
0.5%
Other values (6) 6
 
2.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
172 
근린생활시설
 
14
사무실
 
9
기타
 
2
아파트
 
1

Length

Max length6
Median length4
Mean length4.0707071
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
86.9%
근린생활시설 14
 
7.1%
사무실 9
 
4.5%
기타 2
 
1.0%
아파트 1
 
0.5%

Length

2024-04-06T19:48:54.259128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:54.488911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
86.9%
근린생활시설 14
 
7.1%
사무실 9
 
4.5%
기타 2
 
1.0%
아파트 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)56.5%
Missing175
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean6.3043478
Minimum0
Maximum25
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:54.668632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q12
median4
Q38
95-th percentile21.1
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5950035
Coefficient of variation (CV)1.046104
Kurtosis2.6363821
Mean6.3043478
Median Absolute Deviation (MAD)3
Skewness1.6916006
Sum145
Variance43.494071
MonotonicityNot monotonic
2024-04-06T19:48:54.871116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 4
 
2.0%
3 3
 
1.5%
4 2
 
1.0%
7 2
 
1.0%
8 2
 
1.0%
1 2
 
1.0%
0 2
 
1.0%
13 1
 
0.5%
12 1
 
0.5%
22 1
 
0.5%
Other values (3) 3
 
1.5%
(Missing) 175
88.4%
ValueCountFrequency (%)
0 2
1.0%
1 2
1.0%
2 4
2.0%
3 3
1.5%
4 2
1.0%
5 1
 
0.5%
7 2
1.0%
8 2
1.0%
11 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
25 1
 
0.5%
22 1
 
0.5%
13 1
 
0.5%
12 1
 
0.5%
11 1
 
0.5%
8 2
1.0%
7 2
1.0%
5 1
 
0.5%
4 2
1.0%
3 3
1.5%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
2
 
4
1
 
2
0
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.8484848
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
94.9%
2 4
 
2.0%
1 2
 
1.0%
0 2
 
1.0%
5 1
 
0.5%
3 1
 
0.5%

Length

2024-04-06T19:48:55.092016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:55.308604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
94.9%
2 4
 
2.0%
1 2
 
1.0%
0 2
 
1.0%
5 1
 
0.5%
3 1
 
0.5%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:55.520752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:55.695705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:55.909317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:56.093820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

영문상호명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing194
Missing (%)98.0%
Memory size1.7 KiB
2024-04-06T19:48:56.314129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18.5
Mean length17.5
Min length12

Characters and Unicode

Total characters70
Distinct characters33
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

Unique4 ?
Unique (%)100.0%

Sample

1st rowHuman pmc co., ltd.
2nd rowDong Gwang co.,ltd
3rd rowDaeji Travel Business
4th rowQINGRU GROUP
ValueCountFrequency (%)
human 1
8.3%
pmc 1
8.3%
co 1
8.3%
ltd 1
8.3%
dong 1
8.3%
gwang 1
8.3%
co.,ltd 1
8.3%
daeji 1
8.3%
travel 1
8.3%
business 1
8.3%
Other values (2) 2
16.7%
2024-04-06T19:48:56.841066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
11.4%
a 4
 
5.7%
n 4
 
5.7%
G 3
 
4.3%
c 3
 
4.3%
o 3
 
4.3%
. 3
 
4.3%
e 3
 
4.3%
l 3
 
4.3%
s 3
 
4.3%
Other values (23) 33
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40
57.1%
Uppercase Letter 17
24.3%
Space Separator 8
 
11.4%
Other Punctuation 5
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4
 
10.0%
n 4
 
10.0%
c 3
 
7.5%
o 3
 
7.5%
e 3
 
7.5%
l 3
 
7.5%
s 3
 
7.5%
g 2
 
5.0%
i 2
 
5.0%
u 2
 
5.0%
Other values (8) 11
27.5%
Uppercase Letter
ValueCountFrequency (%)
G 3
17.6%
R 2
11.8%
U 2
11.8%
D 2
11.8%
O 1
 
5.9%
N 1
 
5.9%
I 1
 
5.9%
Q 1
 
5.9%
H 1
 
5.9%
B 1
 
5.9%
Other values (2) 2
11.8%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57
81.4%
Common 13
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4
 
7.0%
n 4
 
7.0%
G 3
 
5.3%
c 3
 
5.3%
o 3
 
5.3%
e 3
 
5.3%
l 3
 
5.3%
s 3
 
5.3%
g 2
 
3.5%
i 2
 
3.5%
Other values (20) 27
47.4%
Common
ValueCountFrequency (%)
8
61.5%
. 3
 
23.1%
, 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
 
11.4%
a 4
 
5.7%
n 4
 
5.7%
G 3
 
4.3%
c 3
 
4.3%
o 3
 
4.3%
. 3
 
4.3%
e 3
 
4.3%
l 3
 
4.3%
s 3
 
4.3%
Other values (23) 33
47.1%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing195
Missing (%)98.5%
Memory size1.7 KiB
2024-04-06T19:48:57.076135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters72
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

Unique1 ?
Unique (%)33.3%

Sample

1st rowOverseas Travel Business
2nd rowOverseas Travel Business
3rd rowOVERSEAS TRAVEL BUSINESS
ValueCountFrequency (%)
overseas 3
33.3%
travel 3
33.3%
business 3
33.3%
2024-04-06T19:48:57.499710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 10
13.9%
e 8
 
11.1%
6
 
8.3%
S 5
 
6.9%
E 4
 
5.6%
r 4
 
5.6%
a 4
 
5.6%
v 4
 
5.6%
O 3
 
4.2%
T 3
 
4.2%
Other values (12) 21
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38
52.8%
Uppercase Letter 28
38.9%
Space Separator 6
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 5
17.9%
E 4
14.3%
O 3
10.7%
T 3
10.7%
B 3
10.7%
A 2
 
7.1%
R 2
 
7.1%
V 2
 
7.1%
L 1
 
3.6%
U 1
 
3.6%
Other values (2) 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 10
26.3%
e 8
21.1%
r 4
 
10.5%
a 4
 
10.5%
v 4
 
10.5%
i 2
 
5.3%
n 2
 
5.3%
u 2
 
5.3%
l 2
 
5.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 66
91.7%
Common 6
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 10
15.2%
e 8
12.1%
S 5
 
7.6%
E 4
 
6.1%
r 4
 
6.1%
a 4
 
6.1%
v 4
 
6.1%
O 3
 
4.5%
T 3
 
4.5%
B 3
 
4.5%
Other values (11) 18
27.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 10
13.9%
e 8
 
11.1%
6
 
8.3%
S 5
 
6.9%
E 4
 
5.6%
r 4
 
5.6%
a 4
 
5.6%
v 4
 
5.6%
O 3
 
4.2%
T 3
 
4.2%
Other values (12) 21
29.2%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:57.833286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:58.025480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:58.206563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:58.395636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:58.591690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:58.782722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:59.035963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:59.267368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:48:59.493751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:59.669659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

시설면적
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)81.8%
Missing132
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean186.89818
Minimum0
Maximum3480
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:48:59.857410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q123.6175
median37.2
Q369.435
95-th percentile476.4625
Maximum3480
Range3480
Interquartile range (IQR)45.8175

Descriptive statistics

Standard deviation614.95226
Coefficient of variation (CV)3.2903063
Kurtosis20.831454
Mean186.89818
Median Absolute Deviation (MAD)18.925
Skewness4.6125733
Sum12335.28
Variance378166.28
MonotonicityNot monotonic
2024-04-06T19:49:00.148160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.05 5
 
2.5%
33.0 3
 
1.5%
26.4 2
 
1.0%
30.0 2
 
1.0%
23.14 2
 
1.0%
132.0 2
 
1.0%
33.69 2
 
1.0%
10.0 2
 
1.0%
11.9 1
 
0.5%
39.6 1
 
0.5%
Other values (44) 44
 
22.2%
(Missing) 132
66.7%
ValueCountFrequency (%)
0.0 1
0.5%
6.6 1
0.5%
7.32 1
0.5%
10.0 2
1.0%
11.9 1
0.5%
13.12 1
0.5%
15.0 1
0.5%
16.53 1
0.5%
18.0 1
0.5%
18.4 1
0.5%
ValueCountFrequency (%)
3480.0 1
0.5%
3078.0 1
0.5%
2177.25 1
0.5%
541.45 1
0.5%
281.5 1
0.5%
134.82 1
0.5%
132.0 2
1.0%
113.57 1
0.5%
99.54 1
0.5%
92.56 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
0
 
3

Length

Max length4
Median length4
Mean length3.9545455
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> 195
98.5%
0 3
 
1.5%

Length

2024-04-06T19:49:00.871713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:49:01.108142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
98.5%
0 3
 
1.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

자본금
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)27.0%
Missing87
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean1.1597866 × 108
Minimum0
Maximum2 × 109
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:49:01.333394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile2 × 108
Maximum2 × 109
Range2 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.9501834 × 108
Coefficient of variation (CV)1.6815019
Kurtosis80.964027
Mean1.1597866 × 108
Median Absolute Deviation (MAD)39997983
Skewness8.5093399
Sum1.2873631 × 1010
Variance3.8032151 × 1016
MonotonicityNot monotonic
2024-04-06T19:49:01.623044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
100000000 36
18.2%
60000000 20
 
10.1%
150000000 13
 
6.6%
30000000 7
 
3.5%
90000000 4
 
2.0%
10000000 3
 
1.5%
350000000 2
 
1.0%
130000000 2
 
1.0%
200000000 2
 
1.0%
50000000 2
 
1.0%
Other values (20) 20
 
10.1%
(Missing) 87
43.9%
ValueCountFrequency (%)
0 1
 
0.5%
9000000 1
 
0.5%
10000000 3
 
1.5%
30000000 7
 
3.5%
36000000 1
 
0.5%
50000000 2
 
1.0%
60000000 20
10.1%
60002017 1
 
0.5%
60084530 1
 
0.5%
60189364 1
 
0.5%
ValueCountFrequency (%)
2000000000 1
 
0.5%
600000000 1
 
0.5%
350000000 2
 
1.0%
300000000 1
 
0.5%
200000000 2
 
1.0%
150000000 13
6.6%
135332808 1
 
0.5%
130000000 2
 
1.0%
123456178 1
 
0.5%
107528735 1
 
0.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)99.0%
Missing97
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean20134127
Minimum20040107
Maximum20211030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:49:02.029895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040107
5-th percentile20060703
Q120110406
median20131101
Q320180330
95-th percentile20200324
Maximum20211030
Range170923
Interquartile range (IQR)69924

Descriptive statistics

Standard deviation45573.912
Coefficient of variation (CV)0.0022635157
Kurtosis-0.94431475
Mean20134127
Median Absolute Deviation (MAD)39720
Skewness-0.20142217
Sum2.0335468 × 109
Variance2.0769815 × 109
MonotonicityNot monotonic
2024-04-06T19:49:02.313559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170821 2
 
1.0%
20130403 1
 
0.5%
20150130 1
 
0.5%
20150206 1
 
0.5%
20141119 1
 
0.5%
20180418 1
 
0.5%
20140319 1
 
0.5%
20140313 1
 
0.5%
20140203 1
 
0.5%
20140124 1
 
0.5%
Other values (90) 90
45.5%
(Missing) 97
49.0%
ValueCountFrequency (%)
20040107 1
0.5%
20040318 1
0.5%
20050513 1
0.5%
20060223 1
0.5%
20060630 1
0.5%
20060703 1
0.5%
20061021 1
0.5%
20061206 1
0.5%
20061228 1
0.5%
20070104 1
0.5%
ValueCountFrequency (%)
20211030 1
0.5%
20210621 1
0.5%
20210331 1
0.5%
20200710 1
0.5%
20200518 1
0.5%
20200324 1
0.5%
20200201 1
0.5%
20190917 1
0.5%
20190711 1
0.5%
20190629 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)99.0%
Missing97
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean20144328
Minimum20050107
Maximum20221029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:49:02.653246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050107
5-th percentile20070703
Q120120407
median20150124
Q320190417
95-th percentile20210324
Maximum20221029
Range170922
Interquartile range (IQR)70010

Descriptive statistics

Standard deviation45541.821
Coefficient of variation (CV)0.0022607764
Kurtosis-0.93462849
Mean20144328
Median Absolute Deviation (MAD)30991
Skewness-0.21399245
Sum2.0345771 × 109
Variance2.0740575 × 109
MonotonicityNot monotonic
2024-04-06T19:49:02.899080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190731 2
 
1.0%
20140403 1
 
0.5%
20160206 1
 
0.5%
20151119 1
 
0.5%
20190417 1
 
0.5%
20150318 1
 
0.5%
20150313 1
 
0.5%
20150202 1
 
0.5%
20150124 1
 
0.5%
20140606 1
 
0.5%
Other values (90) 90
45.5%
(Missing) 97
49.0%
ValueCountFrequency (%)
20050107 1
0.5%
20050317 1
0.5%
20060512 1
0.5%
20070223 1
0.5%
20070630 1
0.5%
20070703 1
0.5%
20071020 1
0.5%
20071206 1
0.5%
20071228 1
0.5%
20080104 1
0.5%
ValueCountFrequency (%)
20221029 1
0.5%
20220620 1
0.5%
20220330 1
0.5%
20210709 1
0.5%
20210518 1
0.5%
20210324 1
0.5%
20210131 1
0.5%
20200828 1
0.5%
20200717 1
0.5%
20200711 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)66.7%
Missing132
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean186.92424
Minimum0
Maximum3480
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T19:49:03.136917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median37
Q369.5
95-th percentile476.25
Maximum3480
Range3480
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation614.9324
Coefficient of variation (CV)3.2897413
Kurtosis20.832779
Mean186.92424
Median Absolute Deviation (MAD)19
Skewness4.6126799
Sum12337
Variance378141.86
MonotonicityNot monotonic
2024-04-06T19:49:03.406634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
55 5
 
2.5%
33 4
 
2.0%
23 3
 
1.5%
30 3
 
1.5%
26 3
 
1.5%
18 2
 
1.0%
132 2
 
1.0%
34 2
 
1.0%
10 2
 
1.0%
56 2
 
1.0%
Other values (34) 38
 
19.2%
(Missing) 132
66.7%
ValueCountFrequency (%)
0 1
0.5%
7 2
1.0%
10 2
1.0%
12 1
0.5%
13 1
0.5%
15 1
0.5%
17 1
0.5%
18 2
1.0%
19 1
0.5%
22 1
0.5%
ValueCountFrequency (%)
3480 1
0.5%
3078 1
0.5%
2177 1
0.5%
541 1
0.5%
282 1
0.5%
135 1
0.5%
132 2
1.0%
114 1
0.5%
100 1
0.5%
93 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03160000CDFI226002199400000119940926<NA>3폐업3폐업20150422<NA><NA><NA>868-6000<NA>152845서울특별시 구로구 구로동 120번지 정현탑웨딩홀 1층서울특별시 구로구 도림천로 344, 1층 (구로동, 정현탑웨딩홀)152845(주)네스트투어2015-04-23 09:01:52I2018-08-31 23:59:59.0<NA>190541.558272443547.821727국내외여행업관광사업<NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32.97<NA><NA><NA><NA><NA><NA><NA><NA>1500000002014052620150525<NA>33
13160000CDFI22600219940000021994-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2636-9411<NA>152-863서울특별시 구로구 구로동 597-47 아성빌딩 2층서울특별시 구로구 경인로 544, 2층 (구로동, 아성빌딩)8278(주)신길여행2024-04-03 10:26:08U2023-12-04 00:05:00.0<NA>189184.686363444397.01032<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFI22600219960000011996-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2625-1105<NA><NA>서울특별시 구로구 구로동 1258 중앙유통단지서울특별시 구로구 경인로53길 15, 중앙유통단지 D동 지층 06-01호 (구로동)8217(주)임페리얼여행사2023-10-23 09:24:32U2022-10-30 22:05:00.0<NA>188840.515866444306.771105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFI22600219980000011998-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6679-4000<NA><NA>서울특별시 구로구 구로동 1258 중앙유통단지서울특별시 구로구 경인로53길 15, 중앙유통단지 바동 지층 69호 (구로동)8217(주)세종관광여행사2024-03-28 15:17:59U2023-12-02 21:00:00.0<NA>188840.515866444306.771105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFI226002199900000119990223<NA>3폐업3폐업20120630<NA><NA><NA>2677-3485<NA>152866서울특별시 구로구 구로동 1262번지 월드프라자 1층 23호서울특별시 구로구 구로중앙로 229 (구로동, 월드프라자 1층 23호)8215(주)홍일항공여행사2017-10-24 13:44:01I2018-08-31 23:59:59.0<NA>188955.34128444822.310113국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>23.52<NA><NA><NA><NA><NA><NA><NA><NA>1000000002011011220120112<NA>24
53160000CDFI226002200100000120010411<NA>3폐업3폐업20060217<NA><NA><NA><NA><NA>152806서울특별시 구로구 개봉동 166-5번지 유원빌딩 2층서울특별시 구로구 경인로 318-7 (개봉동,유원빌딩 2층)<NA>(주)써핑투어2008-02-19 15:35:53I2018-08-31 23:59:59.0<NA>187167.569572443866.059798국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFI22600220010000022001-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2109-5550<NA>152-766서울특별시 구로구 구로동 197-17 에이스테크노타워 101호서울특별시 구로구 디지털로31길 38-9, 101호 (구로동, 에이스테크노타워)8376(주)에이스리조트여행사2023-06-27 09:45:02U2022-12-05 22:09:00.0<NA>190496.447847442645.330574<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFI226002200100000320010705<NA>3폐업3폐업20090309<NA><NA><NA><NA><NA>152848서울특별시 구로구 구로동 186-7번지 예성유토피아 102동 1306호서울특별시 구로구 도림천로 446, 102동 1306호 (구로동, 예성유토피아)8378(주)메씨투어2017-10-24 13:44:57I2018-08-31 23:59:59.0<NA>190959.454833442654.799667국내외여행업관광사업<NA><NA><NA><NA>서울보증보험(주)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56.25<NA><NA><NA><NA><NA><NA><NA><NA>1000000002007042820080427<NA>56
83160000CDFI22600220020000012002-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-0008<NA><NA>서울특별시 구로구 구로동 1125-10서울특별시 구로구 디지털로32길 97-6, 3층 (구로동)8391(주)와우투어2024-03-22 08:56:18U2023-12-02 22:04:00.0<NA>191156.458136442333.157454<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFI226002200300000120030626<NA>3폐업3폐업20030923<NA><NA><NA><NA><NA>152855서울특별시 구로구 구로동 437번지 동남빌딩 409호서울특별시 구로구 가마산로 225, 409호 (구로동,동남빌딩)<NA>일흥미래산업주식회사2004-08-16 18:13:47I2018-08-31 23:59:59.0<NA>189851.590964443550.958203국내외여행업관광사업근린상업지역<NA>주택가주변<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>33
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1883160000CDFI22600220220000092003-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 612-13 영삼빌딩서울특별시 구로구 구로중앙로 212, 영삼빌딩 402-2호 (구로동)8212(주)디엠지투어리스트2023-12-05 11:28:49U2022-11-02 00:07:00.0<NA>189122.059611444767.479686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1893160000CDFI22600220220000102020-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 803-2서울특별시 구로구 도림로 15, 1층 (구로동)8320우리한중국제여행사2023-07-26 11:01:49U2022-12-06 22:08:00.0<NA>189941.823057442660.297957<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903160000CDFI22600220230000012023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2060-3001<NA><NA>서울특별시 구로구 고척동 60-34 제니스스포츠클럽서울특별시 구로구 안양천로539길 11, 제니스스포츠클럽 비동 2층 (고척동)8220(주)제니스투어2024-03-04 17:48:49U2023-12-03 00:06:00.0<NA>188459.808425444722.121127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913160000CDFI22600220230000022019-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 103-4 고척산업용품종합상가서울특별시 구로구 경인로43길 42, 고척산업용품종합상가 나동 2층 사272호 (고척동)8227조이트립2024-03-12 11:40:41U2023-12-02 23:04:00.0<NA>187619.596959444186.92311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1923160000CDFI22600220230000032023-04-19<NA>3폐업3폐업2024-02-23<NA><NA><NA>070-8983-7804<NA><NA>서울특별시 구로구 구로동 1128-3 파트너스타워2차서울특별시 구로구 디지털로32가길 16, 파트너스타워2차 402-1호 (구로동)8393(주)송앤스타크코아퍼레이션(Song&Stark Cooperation Inc.)2024-02-23 16:58:38U2023-12-01 22:05:00.0<NA>190967.257865442305.216741<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1933160000CDFI22600220230000042023-07-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 222-3 제이앤케이디지털타워서울특별시 구로구 디지털로26길 111, 제이앤케이디지털타워 1707-6호 (구로동)8390(주)투어랩2024-02-22 16:05:39U2023-12-01 22:04:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1943160000CDFI22600220230000052023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7827-3251<NA><NA>서울특별시 구로구 오류동 54-5 하늘쉼빌딩서울특별시 구로구 경인로20가길 5, 하늘쉼빌딩 901-36호 (오류동)8271플러스투어2024-03-12 11:19:32U2023-12-02 23:04:00.0<NA>186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1953160000CDFI22600220230000062017-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 54-5 하늘쉼빌딩서울특별시 구로구 경인로20가길 5, 하늘쉼빌딩 (오류동)8271푸라하2024-03-11 16:04:44U2023-12-02 23:03:00.0<NA>186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1963160000CDFI22600220240000012017-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-756-4900<NA><NA>서울특별시 구로구 신도림동 337 신도림1차푸르지오서울특별시 구로구 경인로 661, 신도림1차푸르지오 101동 14층 1408호 (신도림동)8208(주)오아시스투어2024-03-04 09:23:10U2023-12-03 00:06:00.0<NA>190005.1325445250.538869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1973160000CDFI22600220240000022024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 천왕동 280-14 50플러스 남부캠퍼스서울특별시 구로구 오류로 36-25, 50플러스 남부캠퍼스 1층 (천왕동)8350스칼라로드디스커버리 협동조합2024-04-04 10:42:48U2023-12-04 00:06:00.0<NA>185934.050828442949.974574<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>