Overview

Dataset statistics

Number of variables60
Number of observations230
Missing cells5185
Missing cells (%)37.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.3 KiB
Average record size in memory517.6 B

Variable types

Categorical24
Text8
DateTime4
Unsupported14
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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17589/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (92.2%)Imbalance
지역구분명 is highly imbalanced (79.1%)Imbalance
주변환경명 is highly imbalanced (77.4%)Imbalance
건물용도명 is highly imbalanced (67.8%)Imbalance
기획여행보험시작일자 is highly imbalanced (96.0%)Imbalance
기획여행보험종료일자 is highly imbalanced (96.0%)Imbalance
폐업일자 has 92 (40.0%) missing valuesMissing
휴업시작일자 has 230 (100.0%) missing valuesMissing
휴업종료일자 has 230 (100.0%) missing valuesMissing
재개업일자 has 230 (100.0%) missing valuesMissing
전화번호 has 99 (43.0%) missing valuesMissing
소재지면적 has 230 (100.0%) missing valuesMissing
도로명주소 has 5 (2.2%) missing valuesMissing
도로명우편번호 has 71 (30.9%) missing valuesMissing
업태구분명 has 230 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.7%) missing valuesMissing
좌표정보(Y) has 4 (1.7%) missing valuesMissing
총층수 has 177 (77.0%) missing valuesMissing
제작취급품목내용 has 230 (100.0%) missing valuesMissing
지상층수 has 176 (76.5%) missing valuesMissing
지하층수 has 179 (77.8%) missing valuesMissing
영문상호명 has 227 (98.7%) missing valuesMissing
영문상호주소 has 227 (98.7%) missing valuesMissing
선박제원 has 230 (100.0%) missing valuesMissing
기념품종류 has 230 (100.0%) missing valuesMissing
시설면적 has 168 (73.0%) missing valuesMissing
놀이기구수내역 has 230 (100.0%) missing valuesMissing
방송시설유무 has 230 (100.0%) missing valuesMissing
발전시설유무 has 230 (100.0%) missing valuesMissing
의무실유무 has 230 (100.0%) missing valuesMissing
안내소유무 has 230 (100.0%) missing valuesMissing
자본금 has 122 (53.0%) missing valuesMissing
보험시작일자 has 123 (53.5%) missing valuesMissing
보험종료일자 has 123 (53.5%) missing valuesMissing
부대시설내역 has 230 (100.0%) missing valuesMissing
시설규모 has 168 (73.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 33 (14.3%) zerosZeros
지상층수 has 33 (14.3%) zerosZeros
지하층수 has 33 (14.3%) zerosZeros
시설면적 has 30 (13.0%) zerosZeros
자본금 has 7 (3.0%) zerosZeros
시설규모 has 30 (13.0%) zerosZeros

Reproduction

Analysis started2024-04-06 11:12:36.388826
Analysis finished2024-04-06 11:12:37.626337
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3120000
230 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 230
100.0%

Length

2024-04-06T20:12:37.733955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:37.918273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 230
100.0%

관리번호
Text

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-06T20:12:38.178698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4600
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

Unique230 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021996000001
2nd rowCDFI2260021996000003
3rd rowCDFI2260021997000001
4th rowCDFI2260021998000001
5th rowCDFI2260021999000002
ValueCountFrequency (%)
cdfi2260021996000001 1
 
0.4%
cdfi2260022017000007 1
 
0.4%
cdfi2260022017000011 1
 
0.4%
cdfi2260022017000013 1
 
0.4%
cdfi2260022017000015 1
 
0.4%
cdfi2260022017000016 1
 
0.4%
cdfi2260022017000017 1
 
0.4%
cdfi2260022018000001 1
 
0.4%
cdfi2260022018000003 1
 
0.4%
cdfi2260022018000004 1
 
0.4%
Other values (220) 220
95.7%
2024-04-06T20:12:38.760676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1832
39.8%
2 1052
22.9%
6 268
 
5.8%
1 248
 
5.4%
C 230
 
5.0%
D 230
 
5.0%
F 230
 
5.0%
I 230
 
5.0%
3 70
 
1.5%
9 54
 
1.2%
Other values (4) 156
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3680
80.0%
Uppercase Letter 920
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1832
49.8%
2 1052
28.6%
6 268
 
7.3%
1 248
 
6.7%
3 70
 
1.9%
9 54
 
1.5%
4 46
 
1.2%
8 40
 
1.1%
7 37
 
1.0%
5 33
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 230
25.0%
D 230
25.0%
F 230
25.0%
I 230
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3680
80.0%
Latin 920
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1832
49.8%
2 1052
28.6%
6 268
 
7.3%
1 248
 
6.7%
3 70
 
1.9%
9 54
 
1.5%
4 46
 
1.2%
8 40
 
1.1%
7 37
 
1.0%
5 33
 
0.9%
Latin
ValueCountFrequency (%)
C 230
25.0%
D 230
25.0%
F 230
25.0%
I 230
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1832
39.8%
2 1052
22.9%
6 268
 
5.8%
1 248
 
5.4%
C 230
 
5.0%
D 230
 
5.0%
F 230
 
5.0%
I 230
 
5.0%
3 70
 
1.5%
9 54
 
1.2%
Other values (4) 156
 
3.4%
Distinct226
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1995-09-12 00:00:00
Maximum2024-02-26 00:00:00
2024-04-06T20:12:38.996521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:12:39.228813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
225 
20100426
 
1
20091111
 
1
20100705
 
1
20111128
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique5 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row20100426
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 225
97.8%
20100426 1
 
0.4%
20091111 1
 
0.4%
20100705 1
 
0.4%
20111128 1
 
0.4%
20140811 1
 
0.4%

Length

2024-04-06T20:12:39.445377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:39.670113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
97.8%
20100426 1
 
0.4%
20091111 1
 
0.4%
20100705 1
 
0.4%
20111128 1
 
0.4%
20140811 1
 
0.4%
Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3
91 
1
86 
4
40 
5
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 91
39.6%
1 86
37.4%
4 40
17.4%
5 13
 
5.7%

Length

2024-04-06T20:12:39.881139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:40.055852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 91
39.6%
1 86
37.4%
4 40
17.4%
5 13
 
5.7%

영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
91 
영업/정상
86 
취소/말소/만료/정지/중지
40 
제외/삭제/전출
13 

Length

Max length14
Median length8
Mean length5.5478261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 91
39.6%
영업/정상 86
37.4%
취소/말소/만료/정지/중지 40
17.4%
제외/삭제/전출 13
 
5.7%

Length

2024-04-06T20:12:40.236611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:40.434536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 91
39.6%
영업/정상 86
37.4%
취소/말소/만료/정지/중지 40
17.4%
제외/삭제/전출 13
 
5.7%
Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
03
91 
13
85 
35
35 
15
13 
31
 
5

Length

Max length4
Median length2
Mean length2.0086957
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row03
2nd row31
3rd row13
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 91
39.6%
13 85
37.0%
35 35
 
15.2%
15 13
 
5.7%
31 5
 
2.2%
BBBB 1
 
0.4%

Length

2024-04-06T20:12:40.618836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:40.810236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 91
39.6%
13 85
37.0%
35 35
 
15.2%
15 13
 
5.7%
31 5
 
2.2%
bbbb 1
 
0.4%
Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
91 
영업중
85 
직권말소
35 
전출
13 
등록취소
 
5

Length

Max length4
Median length3
Mean length2.726087
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 91
39.6%
영업중 85
37.0%
직권말소 35
 
15.2%
전출 13
 
5.7%
등록취소 5
 
2.2%
<NA> 1
 
0.4%

Length

2024-04-06T20:12:41.049735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:41.227031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 91
39.6%
영업중 85
37.0%
직권말소 35
 
15.2%
전출 13
 
5.7%
등록취소 5
 
2.2%
na 1
 
0.4%

폐업일자
Date

MISSING 

Distinct101
Distinct (%)73.2%
Missing92
Missing (%)40.0%
Memory size1.9 KiB
Minimum1999-02-25 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T20:12:41.826621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:12:42.092517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct131
Distinct (%)100.0%
Missing99
Missing (%)43.0%
Memory size1.9 KiB
2024-04-06T20:12:42.645552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.6946565
Min length7

Characters and Unicode

Total characters1270
Distinct characters15
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

Unique131 ?
Unique (%)100.0%

Sample

1st row392-1984
2nd row313-3103
3rd row3147-0584
4th row313-7226
5th row393-0071
ValueCountFrequency (%)
363-4323 1
 
0.8%
023138820 1
 
0.8%
7360712 1
 
0.8%
02-452-9595 1
 
0.8%
02-730-9355 1
 
0.8%
02-304-1232 1
 
0.8%
4327800 1
 
0.8%
02-546-3316 1
 
0.8%
3640903 1
 
0.8%
02 1
 
0.8%
Other values (122) 122
92.4%
2024-04-06T20:12:43.380158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 184
14.5%
3 160
12.6%
2 157
12.4%
7 141
11.1%
- 139
10.9%
1 116
9.1%
5 87
6.9%
6 75
5.9%
4 74
5.8%
8 73
 
5.7%
Other values (5) 64
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1125
88.6%
Dash Punctuation 139
 
10.9%
Other Punctuation 3
 
0.2%
Math Symbol 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 184
16.4%
3 160
14.2%
2 157
14.0%
7 141
12.5%
1 116
10.3%
5 87
7.7%
6 75
6.7%
4 74
6.6%
8 73
 
6.5%
9 58
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 184
14.5%
3 160
12.6%
2 157
12.4%
7 141
11.1%
- 139
10.9%
1 116
9.1%
5 87
6.9%
6 75
5.9%
4 74
5.8%
8 73
 
5.7%
Other values (5) 64
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 184
14.5%
3 160
12.6%
2 157
12.4%
7 141
11.1%
- 139
10.9%
1 116
9.1%
5 87
6.9%
6 75
5.9%
4 74
5.8%
8 73
 
5.7%
Other values (5) 64
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB
Distinct50
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
112 
120030
17 
120012
13 
120013
 
6
120833
 
5
Other values (45)
77 

Length

Max length7
Median length6
Mean length5.0956522
Min length4

Unique

Unique29 ?
Unique (%)12.6%

Sample

1st row120070
2nd row120012
3rd row120-722
4th row120834
5th row120822

Common Values

ValueCountFrequency (%)
<NA> 112
48.7%
120030 17
 
7.4%
120012 13
 
5.7%
120013 6
 
2.6%
120833 5
 
2.2%
120809 5
 
2.2%
120-012 5
 
2.2%
120722 4
 
1.7%
120-013 4
 
1.7%
120110 4
 
1.7%
Other values (40) 55
23.9%

Length

2024-04-06T20:12:43.636589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 112
48.7%
120030 17
 
7.4%
120012 13
 
5.7%
120013 6
 
2.6%
120833 5
 
2.2%
120809 5
 
2.2%
120-012 5
 
2.2%
120110 4
 
1.7%
120-013 4
 
1.7%
120722 4
 
1.7%
Other values (40) 55
23.9%
Distinct201
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-06T20:12:43.975855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length27.913043
Min length17

Characters and Unicode

Total characters6420
Distinct characters177
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

Unique184 ?
Unique (%)80.0%

Sample

1st row서울특별시 서대문구 영천동 277-1번지
2nd row서울특별시 서대문구 충정로2가 191번지 골든타워 1405호
3rd row서울특별시 서대문구 충정로2가 191 골든타워빌딩 1203호
4th row서울특별시 서대문구 창천동 33-18번지
5th row서울특별시 서대문구 북아현동 251-39번지 3층
ValueCountFrequency (%)
서울특별시 230
18.9%
서대문구 229
18.8%
충정로2가 41
 
3.4%
합동 36
 
3.0%
창천동 35
 
2.9%
충정로3가 23
 
1.9%
연희동 20
 
1.6%
191 16
 
1.3%
홍은동 15
 
1.2%
홍제동 15
 
1.2%
Other values (309) 556
45.7%
2024-04-06T20:12:44.595468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1066
 
16.6%
461
 
7.2%
1 332
 
5.2%
267
 
4.2%
243
 
3.8%
231
 
3.6%
231
 
3.6%
230
 
3.6%
230
 
3.6%
230
 
3.6%
Other values (167) 2899
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3906
60.8%
Decimal Number 1275
 
19.9%
Space Separator 1066
 
16.6%
Dash Punctuation 136
 
2.1%
Uppercase Letter 28
 
0.4%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
461
 
11.8%
267
 
6.8%
243
 
6.2%
231
 
5.9%
231
 
5.9%
230
 
5.9%
230
 
5.9%
230
 
5.9%
175
 
4.5%
92
 
2.4%
Other values (142) 1516
38.8%
Decimal Number
ValueCountFrequency (%)
1 332
26.0%
2 205
16.1%
3 146
11.5%
4 112
 
8.8%
0 110
 
8.6%
5 88
 
6.9%
6 80
 
6.3%
7 79
 
6.2%
9 67
 
5.3%
8 56
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
28.6%
S 7
25.0%
K 7
25.0%
A 3
 
10.7%
D 2
 
7.1%
M 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
k 1
33.3%
b 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3906
60.8%
Common 2483
38.7%
Latin 31
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
461
 
11.8%
267
 
6.8%
243
 
6.2%
231
 
5.9%
231
 
5.9%
230
 
5.9%
230
 
5.9%
230
 
5.9%
175
 
4.5%
92
 
2.4%
Other values (142) 1516
38.8%
Common
ValueCountFrequency (%)
1066
42.9%
1 332
 
13.4%
2 205
 
8.3%
3 146
 
5.9%
- 136
 
5.5%
4 112
 
4.5%
0 110
 
4.4%
5 88
 
3.5%
6 80
 
3.2%
7 79
 
3.2%
Other values (6) 129
 
5.2%
Latin
ValueCountFrequency (%)
B 8
25.8%
S 7
22.6%
K 7
22.6%
A 3
 
9.7%
D 2
 
6.5%
M 1
 
3.2%
s 1
 
3.2%
k 1
 
3.2%
b 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3906
60.8%
ASCII 2514
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1066
42.4%
1 332
 
13.2%
2 205
 
8.2%
3 146
 
5.8%
- 136
 
5.4%
4 112
 
4.5%
0 110
 
4.4%
5 88
 
3.5%
6 80
 
3.2%
7 79
 
3.1%
Other values (15) 160
 
6.4%
Hangul
ValueCountFrequency (%)
461
 
11.8%
267
 
6.8%
243
 
6.2%
231
 
5.9%
231
 
5.9%
230
 
5.9%
230
 
5.9%
230
 
5.9%
175
 
4.5%
92
 
2.4%
Other values (142) 1516
38.8%

도로명주소
Text

MISSING 

Distinct211
Distinct (%)93.8%
Missing5
Missing (%)2.2%
Memory size1.9 KiB
2024-04-06T20:12:45.005884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length35.408889
Min length23

Characters and Unicode

Total characters7967
Distinct characters197
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

Unique200 ?
Unique (%)88.9%

Sample

1st row서울특별시 서대문구 충정로 53, 1405호 (충정로2가,골든타워)
2nd row서울특별시 서대문구 충정로 53, 1203호 (충정로2가)
3rd row서울특별시 서대문구 연세로7안길 10-4 (창천동)
4th row서울특별시 서대문구 신촌로 205 (북아현동,3층)
5th row서울특별시 서대문구 충정로 53 (충정로2가,골든타워1601)
ValueCountFrequency (%)
서울특별시 225
 
15.2%
서대문구 224
 
15.2%
서소문로 52
 
3.5%
2층 38
 
2.6%
충정로 36
 
2.4%
신촌로 34
 
2.3%
53 29
 
2.0%
합동 29
 
2.0%
창천동 29
 
2.0%
충정로2가 25
 
1.7%
Other values (369) 756
51.2%
2024-04-06T20:12:45.727904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1299
 
16.3%
505
 
6.3%
286
 
3.6%
280
 
3.5%
274
 
3.4%
, 271
 
3.4%
2 248
 
3.1%
1 239
 
3.0%
239
 
3.0%
) 226
 
2.8%
Other values (187) 4100
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4642
58.3%
Space Separator 1299
 
16.3%
Decimal Number 1242
 
15.6%
Other Punctuation 272
 
3.4%
Close Punctuation 226
 
2.8%
Open Punctuation 226
 
2.8%
Dash Punctuation 31
 
0.4%
Uppercase Letter 26
 
0.3%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
505
 
10.9%
286
 
6.2%
280
 
6.0%
274
 
5.9%
239
 
5.1%
226
 
4.9%
226
 
4.9%
225
 
4.8%
225
 
4.8%
170
 
3.7%
Other values (163) 1986
42.8%
Decimal Number
ValueCountFrequency (%)
2 248
20.0%
1 239
19.2%
3 195
15.7%
0 118
9.5%
5 111
8.9%
4 102
8.2%
7 94
 
7.6%
9 55
 
4.4%
6 42
 
3.4%
8 38
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
30.8%
S 7
26.9%
K 7
26.9%
D 2
 
7.7%
A 1
 
3.8%
M 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 271
99.6%
/ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
1299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4642
58.3%
Common 3296
41.4%
Latin 29
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
505
 
10.9%
286
 
6.2%
280
 
6.0%
274
 
5.9%
239
 
5.1%
226
 
4.9%
226
 
4.9%
225
 
4.8%
225
 
4.8%
170
 
3.7%
Other values (163) 1986
42.8%
Common
ValueCountFrequency (%)
1299
39.4%
, 271
 
8.2%
2 248
 
7.5%
1 239
 
7.3%
) 226
 
6.9%
( 226
 
6.9%
3 195
 
5.9%
0 118
 
3.6%
5 111
 
3.4%
4 102
 
3.1%
Other values (6) 261
 
7.9%
Latin
ValueCountFrequency (%)
B 8
27.6%
S 7
24.1%
K 7
24.1%
D 2
 
6.9%
e 2
 
6.9%
b 1
 
3.4%
A 1
 
3.4%
M 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4642
58.3%
ASCII 3325
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1299
39.1%
, 271
 
8.2%
2 248
 
7.5%
1 239
 
7.2%
) 226
 
6.8%
( 226
 
6.8%
3 195
 
5.9%
0 118
 
3.5%
5 111
 
3.3%
4 102
 
3.1%
Other values (14) 290
 
8.7%
Hangul
ValueCountFrequency (%)
505
 
10.9%
286
 
6.2%
280
 
6.0%
274
 
5.9%
239
 
5.1%
226
 
4.9%
226
 
4.9%
225
 
4.8%
225
 
4.8%
170
 
3.7%
Other values (163) 1986
42.8%

도로명우편번호
Text

MISSING 

Distinct59
Distinct (%)37.1%
Missing71
Missing (%)30.9%
Memory size1.9 KiB
2024-04-06T20:12:46.144936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1257862
Min length5

Characters and Unicode

Total characters815
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

Unique34 ?
Unique (%)21.4%

Sample

1st row03736
2nd row03735
3rd row03640
4th row03741
5th row03737
ValueCountFrequency (%)
03741 32
20.1%
03736 21
 
13.2%
03785 16
 
10.1%
120030 6
 
3.8%
03735 4
 
2.5%
03663 4
 
2.5%
03737 4
 
2.5%
03730 3
 
1.9%
03789 3
 
1.9%
03611 2
 
1.3%
Other values (49) 64
40.3%
2024-04-06T20:12:46.762608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 195
23.9%
3 195
23.9%
7 128
15.7%
6 72
 
8.8%
1 70
 
8.6%
4 45
 
5.5%
8 37
 
4.5%
2 34
 
4.2%
5 31
 
3.8%
9 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 814
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 195
24.0%
3 195
24.0%
7 128
15.7%
6 72
 
8.8%
1 70
 
8.6%
4 45
 
5.5%
8 37
 
4.5%
2 34
 
4.2%
5 31
 
3.8%
9 7
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 815
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 195
23.9%
3 195
23.9%
7 128
15.7%
6 72
 
8.8%
1 70
 
8.6%
4 45
 
5.5%
8 37
 
4.5%
2 34
 
4.2%
5 31
 
3.8%
9 7
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 195
23.9%
3 195
23.9%
7 128
15.7%
6 72
 
8.8%
1 70
 
8.6%
4 45
 
5.5%
8 37
 
4.5%
2 34
 
4.2%
5 31
 
3.8%
9 7
 
0.9%
Distinct227
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-06T20:12:47.155908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length8.5
Min length3

Characters and Unicode

Total characters1955
Distinct characters310
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)97.4%

Sample

1st row(주)거산세계여행
2nd row(주)알펜투어
3rd row(주)한사랑여행
4th row월즈오브런던
5th row(주)여행천하
ValueCountFrequency (%)
주식회사 32
 
10.8%
여행사 3
 
1.0%
global 2
 
0.7%
트래블 2
 
0.7%
ltd 2
 
0.7%
co 2
 
0.7%
글로벌 2
 
0.7%
투어 2
 
0.7%
tour 2
 
0.7%
주)씨앤비다보여행 2
 
0.7%
Other values (242) 244
82.7%
2024-04-06T20:12:47.849166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
8.3%
( 133
 
6.8%
) 133
 
6.8%
81
 
4.1%
76
 
3.9%
65
 
3.3%
62
 
3.2%
53
 
2.7%
52
 
2.7%
52
 
2.7%
Other values (300) 1086
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
76.8%
Open Punctuation 133
 
6.8%
Close Punctuation 133
 
6.8%
Lowercase Letter 66
 
3.4%
Space Separator 65
 
3.3%
Uppercase Letter 49
 
2.5%
Other Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
162
 
10.8%
81
 
5.4%
76
 
5.1%
62
 
4.1%
53
 
3.5%
52
 
3.5%
52
 
3.5%
46
 
3.1%
33
 
2.2%
32
 
2.1%
Other values (259) 853
56.8%
Lowercase Letter
ValueCountFrequency (%)
o 10
15.2%
l 7
10.6%
i 7
10.6%
a 6
9.1%
r 6
9.1%
d 5
7.6%
e 5
7.6%
c 4
 
6.1%
t 3
 
4.5%
n 3
 
4.5%
Other values (8) 10
15.2%
Uppercase Letter
ValueCountFrequency (%)
T 8
16.3%
A 6
12.2%
O 5
10.2%
E 4
8.2%
R 4
8.2%
U 3
 
6.1%
L 3
 
6.1%
C 3
 
6.1%
G 3
 
6.1%
S 2
 
4.1%
Other values (7) 8
16.3%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
, 2
28.6%
& 2
28.6%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
76.8%
Common 338
 
17.3%
Latin 115
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
162
 
10.8%
81
 
5.4%
76
 
5.1%
62
 
4.1%
53
 
3.5%
52
 
3.5%
52
 
3.5%
46
 
3.1%
33
 
2.2%
32
 
2.1%
Other values (259) 853
56.8%
Latin
ValueCountFrequency (%)
o 10
 
8.7%
T 8
 
7.0%
l 7
 
6.1%
i 7
 
6.1%
a 6
 
5.2%
A 6
 
5.2%
r 6
 
5.2%
d 5
 
4.3%
e 5
 
4.3%
O 5
 
4.3%
Other values (25) 50
43.5%
Common
ValueCountFrequency (%)
( 133
39.3%
) 133
39.3%
65
19.2%
. 3
 
0.9%
, 2
 
0.6%
& 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
76.8%
ASCII 453
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
162
 
10.8%
81
 
5.4%
76
 
5.1%
62
 
4.1%
53
 
3.5%
52
 
3.5%
52
 
3.5%
46
 
3.1%
33
 
2.2%
32
 
2.1%
Other values (259) 853
56.8%
ASCII
ValueCountFrequency (%)
( 133
29.4%
) 133
29.4%
65
14.3%
o 10
 
2.2%
T 8
 
1.8%
l 7
 
1.5%
i 7
 
1.5%
a 6
 
1.3%
A 6
 
1.3%
r 6
 
1.3%
Other values (31) 72
15.9%
Distinct229
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2003-02-07 11:05:59
Maximum2024-04-04 17:10:23
2024-04-06T20:12:48.109057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:12:48.385714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
U
151 
I
78 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
U 151
65.7%
I 78
33.9%
D 1
 
0.4%

Length

2024-04-06T20:12:48.627919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:48.779024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 151
65.7%
i 78
33.9%
d 1
 
0.4%
Distinct90
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:12:48.950061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:12:49.174429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)50.9%
Missing4
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean195440.5
Minimum191543.28
Maximum197567.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:49.404270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191543.28
5-th percentile193130.28
Q1194055.62
median195618
Q3196824.07
95-th percentile196942.74
Maximum197567.94
Range6024.658
Interquartile range (IQR)2768.4496

Descriptive statistics

Standard deviation1489.8237
Coefficient of variation (CV)0.0076229016
Kurtosis-1.0856795
Mean195440.5
Median Absolute Deviation (MAD)1228.7471
Skewness-0.48155296
Sum44169553
Variance2219574.7
MonotonicityNot monotonic
2024-04-06T20:12:49.665799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196801.661639204 27
 
11.7%
196892.09236853 20
 
8.7%
196824.072701729 16
 
7.0%
193712.476983727 14
 
6.1%
196945.454641052 8
 
3.5%
196829.272845892 6
 
2.6%
193582.818617191 4
 
1.7%
196862.481903369 4
 
1.7%
196850.221876572 3
 
1.3%
194770.272306267 3
 
1.3%
Other values (105) 121
52.6%
(Missing) 4
 
1.7%
ValueCountFrequency (%)
191543.28 1
0.4%
191778.716247587 1
0.4%
192150.038113118 1
0.4%
192219.454539817 1
0.4%
192285.636936533 1
0.4%
192415.907205 1
0.4%
192456.366937727 1
0.4%
192552.192063652 1
0.4%
192616.804543873 2
0.9%
192934.20130876 1
0.4%
ValueCountFrequency (%)
197567.93800572 1
 
0.4%
197053.685372291 1
 
0.4%
197028.132153511 2
 
0.9%
196945.454641052 8
 
3.5%
196934.602353655 2
 
0.9%
196921.265890833 1
 
0.4%
196920.634153795 1
 
0.4%
196892.09236853 20
8.7%
196876.322759587 1
 
0.4%
196863.328815216 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)50.9%
Missing4
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean451566.09
Minimum450378.21
Maximum455939.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:49.892141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450378.21
5-th percentile450525.83
Q1450890.66
median451216.97
Q3451851.55
95-th percentile454277.76
Maximum455939.17
Range5560.9589
Interquartile range (IQR)960.88658

Descriptive statistics

Standard deviation1163.4997
Coefficient of variation (CV)0.0025765878
Kurtosis1.7351233
Mean451566.09
Median Absolute Deviation (MAD)480.05924
Skewness1.5596674
Sum1.0205394 × 108
Variance1353731.5
MonotonicityNot monotonic
2024-04-06T20:12:50.106766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451267.809661546 27
 
11.7%
450948.915518467 20
 
8.7%
450890.664072337 16
 
7.0%
450637.010875398 14
 
6.1%
451003.162676008 8
 
3.5%
451317.18963079 6
 
2.6%
453077.774347174 4
 
1.7%
450971.304599585 4
 
1.7%
451623.734611949 3
 
1.3%
450529.307302535 3
 
1.3%
Other values (105) 121
52.6%
(Missing) 4
 
1.7%
ValueCountFrequency (%)
450378.207939919 1
0.4%
450400.49762862 1
0.4%
450415.649392505 1
0.4%
450422.374151297 1
0.4%
450433.691021245 1
0.4%
450443.357241716 2
0.9%
450469.610782261 2
0.9%
450484.124763157 1
0.4%
450503.286604315 1
0.4%
450525.834024158 2
0.9%
ValueCountFrequency (%)
455939.166820505 1
0.4%
455477.476234474 1
0.4%
454979.71556714 1
0.4%
454863.906333334 1
0.4%
454786.019433577 1
0.4%
454683.237327927 2
0.9%
454564.34581261 1
0.4%
454560.084990316 1
0.4%
454495.012463392 1
0.4%
454485.120954321 1
0.4%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
국내외여행업
130 
<NA>
100 

Length

Max length6
Median length6
Mean length5.1304348
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 130
56.5%
<NA> 100
43.5%

Length

2024-04-06T20:12:50.352841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:50.599606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 130
56.5%
na 100
43.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
159 
관광사업
71 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
69.1%
관광사업 71
30.9%

Length

2024-04-06T20:12:50.820971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:51.022120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
69.1%
관광사업 71
30.9%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
212 
준주거지역
 
9
일반주거지역
 
5
상업지역
 
2
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.0913043
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 212
92.2%
준주거지역 9
 
3.9%
일반주거지역 5
 
2.2%
상업지역 2
 
0.9%
근린상업지역 1
 
0.4%
주거지역 1
 
0.4%

Length

2024-04-06T20:12:51.323325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:51.582471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
92.2%
준주거지역 9
 
3.9%
일반주거지역 5
 
2.2%
상업지역 2
 
0.9%
근린상업지역 1
 
0.4%
주거지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)24.5%
Missing177
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean5.1320755
Minimum0
Maximum27
Zeros33
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:51.930563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile25.8
Maximum27
Range27
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.9098859
Coefficient of variation (CV)1.7361175
Kurtosis1.119655
Mean5.1320755
Median Absolute Deviation (MAD)0
Skewness1.6387327
Sum272
Variance79.386067
MonotonicityNot monotonic
2024-04-06T20:12:52.336537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 33
 
14.3%
6 4
 
1.7%
27 3
 
1.3%
22 2
 
0.9%
5 2
 
0.9%
21 2
 
0.9%
7 1
 
0.4%
3 1
 
0.4%
23 1
 
0.4%
4 1
 
0.4%
Other values (3) 3
 
1.3%
(Missing) 177
77.0%
ValueCountFrequency (%)
0 33
14.3%
1 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
5 2
 
0.9%
6 4
 
1.7%
7 1
 
0.4%
8 1
 
0.4%
21 2
 
0.9%
22 2
 
0.9%
ValueCountFrequency (%)
27 3
1.3%
25 1
 
0.4%
23 1
 
0.4%
22 2
0.9%
21 2
0.9%
8 1
 
0.4%
7 1
 
0.4%
6 4
1.7%
5 2
0.9%
4 1
 
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
213 
기타
 
13
주택가주변
 
3
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9173913
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 213
92.6%
기타 13
 
5.7%
주택가주변 3
 
1.3%
학교정화(상대) 1
 
0.4%

Length

2024-04-06T20:12:52.730020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:52.929208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 213
92.6%
기타 13
 
5.7%
주택가주변 3
 
1.3%
학교정화(상대 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

보험기관명
Categorical

Distinct23
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
129 
서울보증보험주식회사
20 
서울보증보험
19 
한국관광협회중앙회 여행공제회
16 
서울특별시관광협회
 
10
Other values (18)
36 

Length

Max length19
Median length4
Mean length7.1869565
Min length4

Unique

Unique10 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
56.1%
서울보증보험주식회사 20
 
8.7%
서울보증보험 19
 
8.3%
한국관광협회중앙회 여행공제회 16
 
7.0%
서울특별시관광협회 10
 
4.3%
서울보증보험주식회사(삼천만원) 7
 
3.0%
서울보증보험주식회사(3천만원) 6
 
2.6%
서울시관광협회 3
 
1.3%
서울보증보험주식회사(삼천만) 2
 
0.9%
서울보증보험(30,000,000) 2
 
0.9%
Other values (13) 16
 
7.0%

Length

2024-04-06T20:12:53.133950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 129
52.4%
서울보증보험주식회사 20
 
8.1%
서울보증보험 19
 
7.7%
여행공제회 18
 
7.3%
한국관광협회중앙회 17
 
6.9%
서울특별시관광협회 10
 
4.1%
서울보증보험주식회사(삼천만원 7
 
2.8%
서울보증보험주식회사(3천만원 6
 
2.4%
서울시관광협회 3
 
1.2%
서울보증보험(30,000,000원 2
 
0.8%
Other values (12) 15
 
6.1%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
근린생활시설
27 
사무실
 
5
다중주택(공동주택적용)
 
1
아파트
 
1

Length

Max length12
Median length4
Mean length4.2434783
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 196
85.2%
근린생활시설 27
 
11.7%
사무실 5
 
2.2%
다중주택(공동주택적용) 1
 
0.4%
아파트 1
 
0.4%

Length

2024-04-06T20:12:53.344117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:53.544446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
근린생활시설 27
 
11.7%
사무실 5
 
2.2%
다중주택(공동주택적용 1
 
0.4%
아파트 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)20.4%
Missing176
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean3.7592593
Minimum0
Maximum21
Zeros33
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:53.730744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile19.7
Maximum21
Range21
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.4513716
Coefficient of variation (CV)1.7161284
Kurtosis1.8824707
Mean3.7592593
Median Absolute Deviation (MAD)0
Skewness1.7778169
Sum203
Variance41.620196
MonotonicityNot monotonic
2024-04-06T20:12:53.889940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 33
 
14.3%
5 4
 
1.7%
15 3
 
1.3%
21 3
 
1.3%
4 3
 
1.3%
2 2
 
0.9%
6 2
 
0.9%
3 1
 
0.4%
7 1
 
0.4%
18 1
 
0.4%
(Missing) 176
76.5%
ValueCountFrequency (%)
0 33
14.3%
2 2
 
0.9%
3 1
 
0.4%
4 3
 
1.3%
5 4
 
1.7%
6 2
 
0.9%
7 1
 
0.4%
15 3
 
1.3%
18 1
 
0.4%
19 1
 
0.4%
ValueCountFrequency (%)
21 3
1.3%
19 1
 
0.4%
18 1
 
0.4%
15 3
1.3%
7 1
 
0.4%
6 2
0.9%
5 4
1.7%
4 3
1.3%
3 1
 
0.4%
2 2
0.9%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)13.7%
Missing179
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean1.4509804
Minimum0
Maximum17
Zeros33
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:54.044658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.5
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.1004111
Coefficient of variation (CV)2.1367698
Kurtosis12.099738
Mean1.4509804
Median Absolute Deviation (MAD)0
Skewness3.1249868
Sum74
Variance9.612549
MonotonicityNot monotonic
2024-04-06T20:12:54.346998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 33
 
14.3%
1 8
 
3.5%
6 5
 
2.2%
7 2
 
0.9%
2 1
 
0.4%
17 1
 
0.4%
3 1
 
0.4%
(Missing) 179
77.8%
ValueCountFrequency (%)
0 33
14.3%
1 8
 
3.5%
2 1
 
0.4%
3 1
 
0.4%
6 5
 
2.2%
7 2
 
0.9%
17 1
 
0.4%
ValueCountFrequency (%)
17 1
 
0.4%
7 2
 
0.9%
6 5
 
2.2%
3 1
 
0.4%
2 1
 
0.4%
1 8
 
3.5%
0 33
14.3%

객실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:54.686625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:54.859422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

건축연면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:55.052051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:55.237323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing227
Missing (%)98.7%
Memory size1.9 KiB
2024-04-06T20:12:55.598154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length21
Min length17

Characters and Unicode

Total characters63
Distinct characters31
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowDo as I like Tour
2nd rowHONEWNARA Co.,Ltd.
3rd rowGood Feeling Korea Co., Ltd.
ValueCountFrequency (%)
do 1
8.3%
as 1
8.3%
i 1
8.3%
like 1
8.3%
tour 1
8.3%
honewnara 1
8.3%
co.,ltd 1
8.3%
good 1
8.3%
feeling 1
8.3%
korea 1
8.3%
Other values (2) 2
16.7%
2024-04-06T20:12:56.207860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
14.3%
o 7
 
11.1%
e 4
 
6.3%
. 4
 
6.3%
d 3
 
4.8%
, 2
 
3.2%
L 2
 
3.2%
t 2
 
3.2%
r 2
 
3.2%
N 2
 
3.2%
Other values (21) 26
41.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29
46.0%
Uppercase Letter 19
30.2%
Space Separator 9
 
14.3%
Other Punctuation 6
 
9.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 2
 
10.5%
N 2
 
10.5%
C 2
 
10.5%
A 2
 
10.5%
G 1
 
5.3%
F 1
 
5.3%
D 1
 
5.3%
R 1
 
5.3%
W 1
 
5.3%
E 1
 
5.3%
Other values (5) 5
26.3%
Lowercase Letter
ValueCountFrequency (%)
o 7
24.1%
e 4
13.8%
d 3
10.3%
t 2
 
6.9%
r 2
 
6.9%
i 2
 
6.9%
l 2
 
6.9%
a 2
 
6.9%
n 1
 
3.4%
g 1
 
3.4%
Other values (3) 3
10.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 48
76.2%
Common 15
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7
 
14.6%
e 4
 
8.3%
d 3
 
6.2%
L 2
 
4.2%
t 2
 
4.2%
r 2
 
4.2%
N 2
 
4.2%
C 2
 
4.2%
i 2
 
4.2%
l 2
 
4.2%
Other values (18) 20
41.7%
Common
ValueCountFrequency (%)
9
60.0%
. 4
26.7%
, 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
 
14.3%
o 7
 
11.1%
e 4
 
6.3%
. 4
 
6.3%
d 3
 
4.8%
, 2
 
3.2%
L 2
 
3.2%
t 2
 
3.2%
r 2
 
3.2%
N 2
 
3.2%
Other values (21) 26
41.3%

영문상호주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing227
Missing (%)98.7%
Memory size1.9 KiB
2024-04-06T20:12:56.468247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length23.333333
Min length23

Characters and Unicode

Total characters70
Distinct characters26
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowFOREIGN TRAVEL BUSINESS
2nd rowOVERSAS TRAVEL BUSINESS
3rd rowOverseas travel business
ValueCountFrequency (%)
travel 3
33.3%
business 3
33.3%
foreign 1
 
11.1%
oversas 1
 
11.1%
overseas 1
 
11.1%
2024-04-06T20:12:56.887263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 8
 
11.4%
E 6
 
8.6%
6
 
8.6%
s 5
 
7.1%
R 4
 
5.7%
e 4
 
5.7%
V 3
 
4.3%
I 3
 
4.3%
N 3
 
4.3%
A 3
 
4.3%
Other values (16) 25
35.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 43
61.4%
Lowercase Letter 21
30.0%
Space Separator 6
 
8.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 8
18.6%
E 6
14.0%
R 4
9.3%
V 3
 
7.0%
I 3
 
7.0%
N 3
 
7.0%
A 3
 
7.0%
O 3
 
7.0%
U 2
 
4.7%
B 2
 
4.7%
Other values (4) 6
14.0%
Lowercase Letter
ValueCountFrequency (%)
s 5
23.8%
e 4
19.0%
a 2
 
9.5%
r 2
 
9.5%
v 2
 
9.5%
b 1
 
4.8%
i 1
 
4.8%
u 1
 
4.8%
l 1
 
4.8%
t 1
 
4.8%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64
91.4%
Common 6
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 8
 
12.5%
E 6
 
9.4%
s 5
 
7.8%
R 4
 
6.2%
e 4
 
6.2%
V 3
 
4.7%
I 3
 
4.7%
N 3
 
4.7%
A 3
 
4.7%
O 3
 
4.7%
Other values (15) 22
34.4%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 8
 
11.4%
E 6
 
8.6%
6
 
8.6%
s 5
 
7.1%
R 4
 
5.7%
e 4
 
5.7%
V 3
 
4.3%
I 3
 
4.3%
N 3
 
4.3%
A 3
 
4.3%
Other values (16) 25
35.7%

선박총톤수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:57.159860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:57.796393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

선박척수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:58.001111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:58.174517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:58.385248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:58.596544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

좌석수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:58.795314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:58.980227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:12:59.195124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:59.395417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)50.0%
Missing168
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean31.081935
Minimum0
Maximum178.15
Zeros30
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:12:59.584825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.555
Q351.83
95-th percentile113.29
Maximum178.15
Range178.15
Interquartile range (IQR)51.83

Descriptive statistics

Standard deviation41.013022
Coefficient of variation (CV)1.3195131
Kurtosis2.8153059
Mean31.081935
Median Absolute Deviation (MAD)22.555
Skewness1.6262068
Sum1927.08
Variance1682.0679
MonotonicityNot monotonic
2024-04-06T20:12:59.837053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 30
 
13.0%
38.33 2
 
0.9%
25.35 2
 
0.9%
55.05 1
 
0.4%
58.93 1
 
0.4%
29.56 1
 
0.4%
25.0 1
 
0.4%
63.2 1
 
0.4%
70.0 1
 
0.4%
52.74 1
 
0.4%
Other values (21) 21
 
9.1%
(Missing) 168
73.0%
ValueCountFrequency (%)
0.0 30
13.0%
21.97 1
 
0.4%
23.14 1
 
0.4%
24.75 1
 
0.4%
25.0 1
 
0.4%
25.35 2
 
0.9%
27.0 1
 
0.4%
29.56 1
 
0.4%
32.0 1
 
0.4%
34.56 1
 
0.4%
ValueCountFrequency (%)
178.15 1
0.4%
162.0 1
0.4%
115.53 1
0.4%
114.45 1
0.4%
91.25 1
0.4%
85.0 1
0.4%
82.64 1
0.4%
81.25 1
0.4%
76.0 1
0.4%
70.0 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
196 
0
34 

Length

Max length4
Median length4
Mean length3.5565217
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> 196
85.2%
0 34
 
14.8%

Length

2024-04-06T20:13:00.070953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:00.235829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 196
85.2%
0 34
 
14.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
229 
20140702
 
1

Length

Max length8
Median length4
Mean length4.0173913
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
99.6%
20140702 1
 
0.4%

Length

2024-04-06T20:13:00.394830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:00.510806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
99.6%
20140702 1
 
0.4%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
229 
20150702
 
1

Length

Max length8
Median length4
Mean length4.0173913
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
99.6%
20150702 1
 
0.4%

Length

2024-04-06T20:13:00.665156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:00.844686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
99.6%
20150702 1
 
0.4%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)13.0%
Missing122
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean90600081
Minimum0
Maximum6.7 × 108
Zeros7
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:13:01.058728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.5 × 108
Maximum6.7 × 108
Range6.7 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation69407883
Coefficient of variation (CV)0.76609074
Kurtosis45.546397
Mean90600081
Median Absolute Deviation (MAD)4000000
Skewness5.5256423
Sum9.7848088 × 109
Variance4.8174542 × 1015
MonotonicityNot monotonic
2024-04-06T20:13:01.381880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100000000 54
23.5%
60000000 21
 
9.1%
150000000 8
 
3.5%
0 7
 
3.0%
30000000 7
 
3.0%
50000000 3
 
1.3%
120000000 1
 
0.4%
670000000 1
 
0.4%
90200000 1
 
0.4%
70000000 1
 
0.4%
Other values (4) 4
 
1.7%
(Missing) 122
53.0%
ValueCountFrequency (%)
0 7
 
3.0%
30000000 7
 
3.0%
50000000 3
 
1.3%
60000000 21
 
9.1%
70000000 1
 
0.4%
72608798 1
 
0.4%
90200000 1
 
0.4%
92000000 1
 
0.4%
100000000 54
23.5%
120000000 1
 
0.4%
ValueCountFrequency (%)
670000000 1
 
0.4%
250000000 1
 
0.4%
200000000 1
 
0.4%
150000000 8
 
3.5%
120000000 1
 
0.4%
100000000 54
23.5%
92000000 1
 
0.4%
90200000 1
 
0.4%
72608798 1
 
0.4%
70000000 1
 
0.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)99.1%
Missing123
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean20126305
Minimum20040419
Maximum20210811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:13:01.642122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040419
5-th percentile20060639
Q120095662
median20120920
Q320155720
95-th percentile20200910
Maximum20210811
Range170392
Interquartile range (IQR)60058

Descriptive statistics

Standard deviation44988.779
Coefficient of variation (CV)0.0022353223
Kurtosis-0.78664141
Mean20126305
Median Absolute Deviation (MAD)29997
Skewness0.16892203
Sum2.1535146 × 109
Variance2.0239903 × 109
MonotonicityNot monotonic
2024-04-06T20:13:01.955846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111209 2
 
0.9%
20140325 1
 
0.4%
20141207 1
 
0.4%
20140507 1
 
0.4%
20140911 1
 
0.4%
20180110 1
 
0.4%
20131222 1
 
0.4%
20130103 1
 
0.4%
20200912 1
 
0.4%
20130617 1
 
0.4%
Other values (96) 96
41.7%
(Missing) 123
53.5%
ValueCountFrequency (%)
20040419 1
0.4%
20041029 1
0.4%
20050907 1
0.4%
20060203 1
0.4%
20060328 1
0.4%
20060610 1
0.4%
20060706 1
0.4%
20060801 1
0.4%
20060812 1
0.4%
20060901 1
0.4%
ValueCountFrequency (%)
20210811 1
0.4%
20210529 1
0.4%
20210419 1
0.4%
20210215 1
0.4%
20210104 1
0.4%
20200912 1
0.4%
20200906 1
0.4%
20200413 1
0.4%
20190820 1
0.4%
20190704 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)99.1%
Missing123
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean20137228
Minimum20050418
Maximum20220811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:13:02.226241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050418
5-th percentile20070639
Q120105627
median20130919
Q320170667
95-th percentile20210909
Maximum20220811
Range170393
Interquartile range (IQR)65040

Descriptive statistics

Standard deviation45366.713
Coefficient of variation (CV)0.0022528777
Kurtosis-0.86389255
Mean20137228
Median Absolute Deviation (MAD)39505
Skewness0.11544612
Sum2.1546834 × 109
Variance2.0581387 × 109
MonotonicityNot monotonic
2024-04-06T20:13:02.503377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090422 2
 
0.9%
20191017 1
 
0.4%
20220214 1
 
0.4%
20151206 1
 
0.4%
20150506 1
 
0.4%
20150910 1
 
0.4%
20190109 1
 
0.4%
20141221 1
 
0.4%
20140103 1
 
0.4%
20210911 1
 
0.4%
Other values (96) 96
41.7%
(Missing) 123
53.5%
ValueCountFrequency (%)
20050418 1
0.4%
20051029 1
0.4%
20060907 1
0.4%
20070203 1
0.4%
20070327 1
0.4%
20070610 1
0.4%
20070706 1
0.4%
20070731 1
0.4%
20070811 1
0.4%
20070831 1
0.4%
ValueCountFrequency (%)
20220811 1
0.4%
20220529 1
0.4%
20220419 1
0.4%
20220214 1
0.4%
20220103 1
0.4%
20210911 1
0.4%
20210905 1
0.4%
20210412 1
0.4%
20200819 1
0.4%
20200703 1
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing230
Missing (%)100.0%
Memory size2.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)45.2%
Missing168
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean31.080645
Minimum0
Maximum178
Zeros30
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T20:13:02.744306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.5
Q351.5
95-th percentile112.85
Maximum178
Range178
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation41.004317
Coefficient of variation (CV)1.3192878
Kurtosis2.8082665
Mean31.080645
Median Absolute Deviation (MAD)22.5
Skewness1.6247933
Sum1927
Variance1681.354
MonotonicityNot monotonic
2024-04-06T20:13:02.954710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 30
 
13.0%
25 4
 
1.7%
38 2
 
0.9%
46 2
 
0.9%
83 1
 
0.4%
85 1
 
0.4%
59 1
 
0.4%
30 1
 
0.4%
63 1
 
0.4%
70 1
 
0.4%
Other values (18) 18
 
7.8%
(Missing) 168
73.0%
ValueCountFrequency (%)
0 30
13.0%
22 1
 
0.4%
23 1
 
0.4%
25 4
 
1.7%
27 1
 
0.4%
30 1
 
0.4%
32 1
 
0.4%
35 1
 
0.4%
38 2
 
0.9%
40 1
 
0.4%
ValueCountFrequency (%)
178 1
0.4%
162 1
0.4%
116 1
0.4%
114 1
0.4%
91 1
0.4%
85 1
0.4%
83 1
0.4%
81 1
0.4%
76 1
0.4%
70 1
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03120000CDFI226002199600000119961112<NA>3폐업03폐업20030605<NA><NA><NA><NA><NA>120070서울특별시 서대문구 영천동 277-1번지<NA><NA>(주)거산세계여행2003-06-05 10:35:19I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<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
13120000CDFI226002199600000319961118201004264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>120012서울특별시 서대문구 충정로2가 191번지 골든타워 1405호서울특별시 서대문구 충정로 53, 1405호 (충정로2가,골든타워)<NA>(주)알펜투어2010-04-20 14:47:54I2018-08-31 23:59:59.0<NA>196801.661639451267.809662국내외여행업관광사업<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>1000000002006111620071115<NA><NA>
23120000CDFI22600219970000011997-09-12<NA>1영업/정상13영업중<NA><NA><NA><NA>392-1984<NA>120-722서울특별시 서대문구 충정로2가 191 골든타워빌딩 1203호서울특별시 서대문구 충정로 53, 1203호 (충정로2가)03736(주)한사랑여행2024-02-21 10:24:44U2023-12-01 22:03:00.0<NA>196801.661639451267.809662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFI226002199800000119980417<NA>3폐업03폐업19990225<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 33-18번지서울특별시 서대문구 연세로7안길 10-4 (창천동)<NA>월즈오브런던2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194316.218242450673.635639국내외여행업관광사업<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
43120000CDFI226002199900000219990303<NA>3폐업03폐업20020119<NA><NA><NA><NA><NA>120822서울특별시 서대문구 북아현동 251-39번지 3층서울특별시 서대문구 신촌로 205 (북아현동,3층)<NA>(주)여행천하2003-02-07 11:06:58I2018-08-31 23:59:59.0<NA>195421.69856450551.570075국내외여행업관광사업<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
53120000CDFI226002199900000519990630<NA>3폐업03폐업20050303<NA><NA><NA><NA><NA>120012서울특별시 서대문구 충정로2가 191-0번지 골든타워1601서울특별시 서대문구 충정로 53 (충정로2가,골든타워1601)<NA>서울컨벤션서비스(주)2005-03-03 17:10:55I2018-08-31 23:59:59.0<NA>196801.661639451267.809662국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFI226002199900000719990809<NA>3폐업03폐업20051117<NA><NA><NA><NA><NA>120822서울특별시 서대문구 북아현동 221-14번지 3층서울특별시 서대문구 신촌로 229 (북아현동,3층)<NA>POSH KOREA2005-11-17 10:11:10I2018-08-31 23:59:59.0<NA>195626.483507450565.120109국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFI226002200000000320000630<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>120805서울특별시 서대문구 남가좌동 293-77번지<NA><NA>김민수2003-02-07 11:06:58I2018-08-31 23:59:59.0<NA>192415.907205451856.120833국내외여행업관광사업<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
83120000CDFI22600220000000092000-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>313-3103<NA>120-050서울특별시 서대문구 냉천동 169-1 충현빌딩 601호서울특별시 서대문구 통일로9안길 9-6, 601호 (냉천동,충현빌딩)<NA>ETC 네트워크(주)2024-02-23 16:02:56U2023-12-01 22:05:00.0<NA>196850.221877451623.734612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFI226002200100000320010615<NA>3폐업03폐업20090609<NA><NA><NA>3147-0584<NA>120170서울특별시 서대문구 대현동 40-17번지 제원빌딩 4층서울특별시 서대문구 이화여대1길 9 (대현동,제원빌딩 4층)<NA>Good Africa2009-06-11 16:42:14I2018-08-31 23:59:59.0<NA>195098.205922450549.583847국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2008100220091002<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2203120000CDFI22600220230000152006-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로2가 191 골든타워빌딩 1412호서울특별시 서대문구 충정로 53, 골든타워빌딩 1412호 (충정로2가)03736(주)에스에프투어2024-04-04 10:46:57U2023-12-04 00:06:00.0<NA>196801.661639451267.809662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2213120000CDFI22600220230000162022-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 316-1 가동 202호서울특별시 서대문구 통일로37길 42-4, 가동 2층 202호 (홍제동)03645주식회사 언더골프투어2024-03-12 16:02:22U2023-12-02 23:04:00.0<NA>194965.186276453794.473075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2223120000CDFI22600220230000172023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 351-2 202호서울특별시 서대문구 응암로 146, 2층 202호 (북가좌동)03667주식회사 노리여행2024-03-27 15:02:38U2023-12-02 22:09:00.0<NA>192456.366938453652.460124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2233120000CDFI22600220230000182023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로3가 465 충정리시온 303호서울특별시 서대문구 서소문로 27, 3층 303호 (충정로3가, 충정리시온)03741주식회사 나라트래블2023-11-15 10:52:50U2022-10-31 23:07:00.0<NA>196824.072702450890.664072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2243120000CDFI22600220230000192023-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 503-8 2층 2481호서울특별시 서대문구 신촌로 25, 상록빌딩 2층 2481호 (창천동)03785주식회사 스윙플러스2023-11-15 11:18:28U2022-10-31 23:07:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2253120000CDFI22600220230000202014-07-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-745-8162<NA><NA>서울특별시 서대문구 충정로3가 465 충정리시온서울특별시 서대문구 서소문로 27, 3층 302호 (충정로3가, 충정리시온)03741제이오투어2023-11-02 15:23:33I2022-11-01 00:04:00.0<NA>196824.072702450890.664072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2263120000CDFI22600220230000212023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 8-834서울특별시 서대문구 홍은중앙로 172-33 (홍은동)03600주식회사 와일드홀릭(Wildholic Co., Ltd.)2023-11-15 13:51:41U2022-10-31 23:07:00.0<NA>195609.52218455939.166821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2273120000CDFI22600220240000012024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 503-8 2층 289호서울특별시 서대문구 신촌로 25, 2층 289호 (창천동)03785트래블 빌더2024-01-25 13:50:02U2023-11-30 22:07:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2283120000CDFI22600220240000022024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 506-10 산성빌딩, 3층서울특별시 서대문구 신촌로3길 15, 산성빌딩 3층 (창천동)03785(주)플랫폼구사삼2024-03-05 11:01:32U2023-12-03 00:07:00.0<NA>193664.950751450744.320812<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2293120000CDFI22600220240000032024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-356-3579<NA><NA>서울특별시 서대문구 충정로2가 191 골든타워빌딩 1609호서울특별시 서대문구 충정로 53, 골든타워빌딩 1609호 (충정로2가)03736찬누리 여행사2024-03-14 16:44:41I2023-12-02 23:06:00.0<NA>196801.661639451267.809662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>