Overview

Dataset statistics

Number of variables60
Number of observations1127
Missing cells27427
Missing cells (%)40.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory571.3 KiB
Average record size in memory519.1 B

Variable types

Categorical22
Text9
DateTime4
Numeric10
Unsupported15

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17603/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (96.2%)Imbalance
주변환경명 is highly imbalanced (96.8%)Imbalance
건물용도명 is highly imbalanced (68.8%)Imbalance
지하층수 is highly imbalanced (63.8%)Imbalance
영문상호주소 is highly imbalanced (71.2%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.0%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 1093 (97.0%) missing valuesMissing
폐업일자 has 655 (58.1%) missing valuesMissing
휴업시작일자 has 1127 (100.0%) missing valuesMissing
휴업종료일자 has 1127 (100.0%) missing valuesMissing
재개업일자 has 1127 (100.0%) missing valuesMissing
전화번호 has 426 (37.8%) missing valuesMissing
소재지면적 has 1127 (100.0%) missing valuesMissing
소재지우편번호 has 945 (83.9%) missing valuesMissing
도로명우편번호 has 69 (6.1%) missing valuesMissing
업태구분명 has 1127 (100.0%) missing valuesMissing
문화사업자구분명 has 1127 (100.0%) missing valuesMissing
총층수 has 782 (69.4%) missing valuesMissing
제작취급품목내용 has 1127 (100.0%) missing valuesMissing
보험기관명 has 823 (73.0%) missing valuesMissing
지상층수 has 782 (69.4%) missing valuesMissing
영문상호명 has 985 (87.4%) missing valuesMissing
선박제원 has 1127 (100.0%) missing valuesMissing
기념품종류 has 1127 (100.0%) missing valuesMissing
시설면적 has 781 (69.3%) missing valuesMissing
놀이기구수내역 has 1127 (100.0%) missing valuesMissing
방송시설유무 has 1127 (100.0%) missing valuesMissing
발전시설유무 has 1127 (100.0%) missing valuesMissing
의무실유무 has 1127 (100.0%) missing valuesMissing
안내소유무 has 1127 (100.0%) missing valuesMissing
자본금 has 782 (69.4%) missing valuesMissing
보험시작일자 has 806 (71.5%) missing valuesMissing
보험종료일자 has 806 (71.5%) missing valuesMissing
부대시설내역 has 1127 (100.0%) missing valuesMissing
시설규모 has 781 (69.3%) 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 338 (30.0%) zerosZeros
지상층수 has 336 (29.8%) zerosZeros
시설면적 has 197 (17.5%) zerosZeros
자본금 has 106 (9.4%) zerosZeros
시설규모 has 197 (17.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:01:21.076301
Analysis finished2024-05-11 07:01:22.988420
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
3010000
1127 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 1127
100.0%

Length

2024-05-11T16:01:23.094912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:23.249645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 1127
100.0%

관리번호
Text

UNIQUE 

Distinct1127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T16:01:23.537808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22540
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

Unique1127 ?
Unique (%)100.0%

Sample

1st rowCDFI2260041982000001
2nd rowCDFI2260041983000001
3rd rowCDFI2260041983000002
4th rowCDFI2260041983000003
5th rowCDFI2260041987000001
ValueCountFrequency (%)
cdfi2260041982000001 1
 
0.1%
cdfi2260042021000039 1
 
0.1%
cdfi2260042021000045 1
 
0.1%
cdfi2260042021000044 1
 
0.1%
cdfi2260042021000043 1
 
0.1%
cdfi2260042021000042 1
 
0.1%
cdfi2260042021000041 1
 
0.1%
cdfi2260042021000051 1
 
0.1%
cdfi2260042021000038 1
 
0.1%
cdfi2260042021000047 1
 
0.1%
Other values (1117) 1117
99.1%
2024-05-11T16:01:24.099985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8176
36.3%
2 4235
18.8%
4 1428
 
6.3%
6 1411
 
6.3%
1 1207
 
5.4%
C 1127
 
5.0%
D 1127
 
5.0%
F 1127
 
5.0%
I 1127
 
5.0%
3 386
 
1.7%
Other values (4) 1189
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18032
80.0%
Uppercase Letter 4508
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8176
45.3%
2 4235
23.5%
4 1428
 
7.9%
6 1411
 
7.8%
1 1207
 
6.7%
3 386
 
2.1%
9 335
 
1.9%
7 298
 
1.7%
8 293
 
1.6%
5 263
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 1127
25.0%
D 1127
25.0%
F 1127
25.0%
I 1127
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18032
80.0%
Latin 4508
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8176
45.3%
2 4235
23.5%
4 1428
 
7.9%
6 1411
 
7.8%
1 1207
 
6.7%
3 386
 
2.1%
9 335
 
1.9%
7 298
 
1.7%
8 293
 
1.6%
5 263
 
1.5%
Latin
ValueCountFrequency (%)
C 1127
25.0%
D 1127
25.0%
F 1127
25.0%
I 1127
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8176
36.3%
2 4235
18.8%
4 1428
 
6.3%
6 1411
 
6.3%
1 1207
 
5.4%
C 1127
 
5.0%
D 1127
 
5.0%
F 1127
 
5.0%
I 1127
 
5.0%
3 386
 
1.7%
Other values (4) 1189
 
5.3%
Distinct916
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum1982-09-18 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T16:01:24.400473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:24.678394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)55.9%
Missing1093
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20132968
Minimum20090529
Maximum20200217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:24.965341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090529
5-th percentile20097160
Q120100823
median20135422
Q320141080
95-th percentile20200217
Maximum20200217
Range109688
Interquartile range (IQR)40257

Descriptive statistics

Standard deviation31519.638
Coefficient of variation (CV)0.0015655733
Kurtosis0.012094254
Mean20132968
Median Absolute Deviation (MAD)24491.5
Skewness0.74095735
Sum6.8452093 × 108
Variance9.9348757 × 108
MonotonicityNot monotonic
2024-05-11T16:01:25.432279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20100730 7
 
0.6%
20200217 3
 
0.3%
20110930 2
 
0.2%
20140515 2
 
0.2%
20160418 2
 
0.2%
20130419 2
 
0.2%
20140325 2
 
0.2%
20090529 2
 
0.2%
20140421 2
 
0.2%
20101101 1
 
0.1%
Other values (9) 9
 
0.8%
(Missing) 1093
97.0%
ValueCountFrequency (%)
20090529 2
 
0.2%
20100730 7
0.6%
20101101 1
 
0.1%
20110930 2
 
0.2%
20120514 1
 
0.1%
20121023 1
 
0.1%
20130419 2
 
0.2%
20130531 1
 
0.1%
20140312 1
 
0.1%
20140325 2
 
0.2%
ValueCountFrequency (%)
20200217 3
0.3%
20191115 1
 
0.1%
20160418 2
0.2%
20150921 1
 
0.1%
20150625 1
 
0.1%
20141204 1
 
0.1%
20140707 1
 
0.1%
20140515 2
0.2%
20140421 2
0.2%
20140325 2
0.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
1
620 
4
211 
3
176 
5
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 620
55.0%
4 211
 
18.7%
3 176
 
15.6%
5 120
 
10.6%

Length

2024-05-11T16:01:25.621046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:25.786070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 620
55.0%
4 211
 
18.7%
3 176
 
15.6%
5 120
 
10.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
영업/정상
620 
취소/말소/만료/정지/중지
211 
폐업
176 
제외/삭제/전출
120 

Length

Max length14
Median length5
Mean length6.5359361
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 620
55.0%
취소/말소/만료/정지/중지 211
 
18.7%
폐업 176
 
15.6%
제외/삭제/전출 120
 
10.6%

Length

2024-05-11T16:01:25.999748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:26.190135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 620
55.0%
취소/말소/만료/정지/중지 211
 
18.7%
폐업 176
 
15.6%
제외/삭제/전출 120
 
10.6%
Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
13
620 
35
177 
3
176 
15
120 
31
 
34

Length

Max length2
Median length2
Mean length1.8438332
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row31
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 620
55.0%
35 177
 
15.7%
3 176
 
15.6%
15 120
 
10.6%
31 34
 
3.0%

Length

2024-05-11T16:01:26.405761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:26.590384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 620
55.0%
35 177
 
15.7%
3 176
 
15.6%
15 120
 
10.6%
31 34
 
3.0%
Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
영업중
620 
직권말소
177 
폐업
176 
전출
120 
등록취소
 
34

Length

Max length4
Median length3
Mean length2.9245785
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 620
55.0%
직권말소 177
 
15.7%
폐업 176
 
15.6%
전출 120
 
10.6%
등록취소 34
 
3.0%

Length

2024-05-11T16:01:26.812752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:27.008859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 620
55.0%
직권말소 177
 
15.7%
폐업 176
 
15.6%
전출 120
 
10.6%
등록취소 34
 
3.0%

폐업일자
Date

MISSING 

Distinct264
Distinct (%)55.9%
Missing655
Missing (%)58.1%
Memory size8.9 KiB
Minimum2010-01-05 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T16:01:27.276831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:27.509796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

전화번호
Text

MISSING 

Distinct684
Distinct (%)97.6%
Missing426
Missing (%)37.8%
Memory size8.9 KiB
2024-05-11T16:01:27.893401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length10.587732
Min length7

Characters and Unicode

Total characters7422
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

Unique669 ?
Unique (%)95.4%

Sample

1st row753-8585
2nd row726-5632
3rd row771-3100
4th row2078-6600
5th row02-757-2141
ValueCountFrequency (%)
0261019444 4
 
0.6%
02 4
 
0.6%
02-2088-6699 2
 
0.3%
02-2279-5959 2
 
0.3%
023687048 2
 
0.3%
0222751272 2
 
0.3%
027775300 2
 
0.3%
02-855-5557 2
 
0.3%
07049165151 2
 
0.3%
02-2268-2916 2
 
0.3%
Other values (677) 683
96.6%
2024-05-11T16:01:28.521516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1206
16.2%
2 1142
15.4%
- 858
11.6%
7 837
11.3%
8 603
8.1%
3 562
7.6%
5 528
7.1%
1 489
6.6%
6 478
 
6.4%
9 371
 
5.0%
Other values (5) 348
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6546
88.2%
Dash Punctuation 858
 
11.6%
Space Separator 9
 
0.1%
Other Punctuation 6
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1206
18.4%
2 1142
17.4%
7 837
12.8%
8 603
9.2%
3 562
8.6%
5 528
8.1%
1 489
7.5%
6 478
 
7.3%
9 371
 
5.7%
4 330
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
, 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 858
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7422
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1206
16.2%
2 1142
15.4%
- 858
11.6%
7 837
11.3%
8 603
8.1%
3 562
7.6%
5 528
7.1%
1 489
6.6%
6 478
 
6.4%
9 371
 
5.0%
Other values (5) 348
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1206
16.2%
2 1142
15.4%
- 858
11.6%
7 837
11.3%
8 603
8.1%
3 562
7.6%
5 528
7.1%
1 489
6.6%
6 478
 
6.4%
9 371
 
5.0%
Other values (5) 348
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

소재지우편번호
Text

MISSING 

Distinct86
Distinct (%)47.3%
Missing945
Missing (%)83.9%
Memory size8.9 KiB
2024-05-11T16:01:28.893883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3516484
Min length6

Characters and Unicode

Total characters1156
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

Unique50 ?
Unique (%)27.5%

Sample

1st row100170
2nd row100736
3rd row100012
4th row100-180
5th row100861
ValueCountFrequency (%)
100170 14
 
7.7%
100-170 10
 
5.5%
100110 9
 
4.9%
100-180 6
 
3.3%
100-101 5
 
2.7%
100102 5
 
2.7%
100180 5
 
2.7%
100101 5
 
2.7%
100041 5
 
2.7%
100191 4
 
2.2%
Other values (76) 114
62.6%
2024-05-11T16:01:29.510566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 493
42.6%
1 348
30.1%
- 64
 
5.5%
7 47
 
4.1%
2 45
 
3.9%
8 41
 
3.5%
4 38
 
3.3%
3 27
 
2.3%
9 22
 
1.9%
5 16
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
94.5%
Dash Punctuation 64
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 493
45.1%
1 348
31.9%
7 47
 
4.3%
2 45
 
4.1%
8 41
 
3.8%
4 38
 
3.5%
3 27
 
2.5%
9 22
 
2.0%
5 16
 
1.5%
6 15
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 493
42.6%
1 348
30.1%
- 64
 
5.5%
7 47
 
4.1%
2 45
 
3.9%
8 41
 
3.5%
4 38
 
3.3%
3 27
 
2.3%
9 22
 
1.9%
5 16
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 493
42.6%
1 348
30.1%
- 64
 
5.5%
7 47
 
4.1%
2 45
 
3.9%
8 41
 
3.5%
4 38
 
3.3%
3 27
 
2.3%
9 22
 
1.9%
5 16
 
1.4%
Distinct816
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T16:01:29.930441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length25.191659
Min length14

Characters and Unicode

Total characters28391
Distinct characters287
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

Unique721 ?
Unique (%)64.0%

Sample

1st row서울특별시 중구 무교동 32-2
2nd row서울특별시 중구 소공동 51 한진빌딩
3rd row서울특별시 중구 서소문동 57-7번지 동화빌딩 5층
4th row서울특별시 중구 수표동 27-1
5th row서울특별시 중구 충무로2가 50-6번지
ValueCountFrequency (%)
서울특별시 1127
 
18.9%
중구 1127
 
18.9%
다동 127
 
2.1%
소공동 86
 
1.4%
무교동 84
 
1.4%
서소문동 63
 
1.1%
을지로2가 49
 
0.8%
태평로1가 47
 
0.8%
신당동 39
 
0.7%
충무로1가 38
 
0.6%
Other values (1020) 3187
53.3%
2024-05-11T16:01:30.622103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5036
 
17.7%
1 1420
 
5.0%
1247
 
4.4%
1173
 
4.1%
1164
 
4.1%
1158
 
4.1%
1133
 
4.0%
1131
 
4.0%
1127
 
4.0%
2 883
 
3.1%
Other values (277) 12919
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16777
59.1%
Decimal Number 5440
 
19.2%
Space Separator 5036
 
17.7%
Dash Punctuation 680
 
2.4%
Lowercase Letter 274
 
1.0%
Uppercase Letter 112
 
0.4%
Open Punctuation 32
 
0.1%
Close Punctuation 32
 
0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1247
 
7.4%
1173
 
7.0%
1164
 
6.9%
1158
 
6.9%
1133
 
6.8%
1131
 
6.7%
1127
 
6.7%
863
 
5.1%
547
 
3.3%
490
 
2.9%
Other values (236) 6744
40.2%
Uppercase Letter
ValueCountFrequency (%)
C 35
31.2%
P 31
27.7%
B 7
 
6.2%
R 6
 
5.4%
T 5
 
4.5%
A 5
 
4.5%
E 5
 
4.5%
N 4
 
3.6%
L 4
 
3.6%
F 2
 
1.8%
Other values (8) 8
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1420
26.1%
2 883
16.2%
0 580
10.7%
3 555
 
10.2%
5 514
 
9.4%
8 359
 
6.6%
9 308
 
5.7%
6 291
 
5.3%
7 274
 
5.0%
4 256
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 90
32.8%
n 31
 
11.3%
c 31
 
11.3%
a 30
 
10.9%
l 30
 
10.9%
r 30
 
10.9%
t 30
 
10.9%
i 2
 
0.7%
Space Separator
ValueCountFrequency (%)
5036
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 680
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16777
59.1%
Common 11228
39.5%
Latin 386
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1247
 
7.4%
1173
 
7.0%
1164
 
6.9%
1158
 
6.9%
1133
 
6.8%
1131
 
6.7%
1127
 
6.7%
863
 
5.1%
547
 
3.3%
490
 
2.9%
Other values (236) 6744
40.2%
Latin
ValueCountFrequency (%)
e 90
23.3%
C 35
 
9.1%
P 31
 
8.0%
n 31
 
8.0%
c 31
 
8.0%
a 30
 
7.8%
l 30
 
7.8%
r 30
 
7.8%
t 30
 
7.8%
B 7
 
1.8%
Other values (16) 41
10.6%
Common
ValueCountFrequency (%)
5036
44.9%
1 1420
 
12.6%
2 883
 
7.9%
- 680
 
6.1%
0 580
 
5.2%
3 555
 
4.9%
5 514
 
4.6%
8 359
 
3.2%
9 308
 
2.7%
6 291
 
2.6%
Other values (5) 602
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16777
59.1%
ASCII 11614
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5036
43.4%
1 1420
 
12.2%
2 883
 
7.6%
- 680
 
5.9%
0 580
 
5.0%
3 555
 
4.8%
5 514
 
4.4%
8 359
 
3.1%
9 308
 
2.7%
6 291
 
2.5%
Other values (31) 988
 
8.5%
Hangul
ValueCountFrequency (%)
1247
 
7.4%
1173
 
7.0%
1164
 
6.9%
1158
 
6.9%
1133
 
6.8%
1131
 
6.7%
1127
 
6.7%
863
 
5.1%
547
 
3.3%
490
 
2.9%
Other values (236) 6744
40.2%
Distinct1052
Distinct (%)93.5%
Missing2
Missing (%)0.2%
Memory size8.9 KiB
2024-05-11T16:01:31.044679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length56
Mean length36.352889
Min length22

Characters and Unicode

Total characters40897
Distinct characters308
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)88.4%

Sample

1st row서울특별시 중구 무교로 15, 7층 (무교동, 남강빌딩)
2nd row서울특별시 중구 소공로 88, 한진빌딩 (소공동)
3rd row서울특별시 중구 서소문로 101 (서소문동,동화빌딩 5층)
4th row서울특별시 중구 을지로11길 15 (수표동)
5th row서울특별시 중구 삼일대로4길 9, 1107호 (충무로2가, 라이온스빌딩)
ValueCountFrequency (%)
서울특별시 1125
 
14.0%
중구 1125
 
14.0%
다동 121
 
1.5%
퇴계로 103
 
1.3%
소공동 86
 
1.1%
남대문로7길 77
 
1.0%
서소문로 76
 
0.9%
을지로 75
 
0.9%
무교동 72
 
0.9%
40 65
 
0.8%
Other values (1245) 5083
63.5%
2024-05-11T16:01:31.706912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6913
 
16.9%
1 1716
 
4.2%
1391
 
3.4%
, 1365
 
3.3%
1351
 
3.3%
1173
 
2.9%
1171
 
2.9%
1168
 
2.9%
) 1152
 
2.8%
( 1152
 
2.8%
Other values (298) 22345
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22424
54.8%
Decimal Number 7375
 
18.0%
Space Separator 6913
 
16.9%
Other Punctuation 1365
 
3.3%
Close Punctuation 1152
 
2.8%
Open Punctuation 1152
 
2.8%
Lowercase Letter 211
 
0.5%
Dash Punctuation 167
 
0.4%
Uppercase Letter 137
 
0.3%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1391
 
6.2%
1351
 
6.0%
1173
 
5.2%
1171
 
5.2%
1168
 
5.2%
1134
 
5.1%
1133
 
5.1%
1125
 
5.0%
1021
 
4.6%
937
 
4.2%
Other values (255) 10820
48.3%
Uppercase Letter
ValueCountFrequency (%)
C 33
24.1%
P 24
17.5%
B 14
10.2%
R 12
 
8.8%
T 8
 
5.8%
S 8
 
5.8%
A 8
 
5.8%
E 6
 
4.4%
L 5
 
3.6%
N 4
 
2.9%
Other values (9) 15
10.9%
Decimal Number
ValueCountFrequency (%)
1 1716
23.3%
0 1091
14.8%
2 1069
14.5%
3 805
10.9%
4 506
 
6.9%
5 499
 
6.8%
6 488
 
6.6%
7 436
 
5.9%
9 389
 
5.3%
8 376
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 69
32.7%
c 24
 
11.4%
n 24
 
11.4%
a 23
 
10.9%
t 23
 
10.9%
r 23
 
10.9%
l 23
 
10.9%
i 2
 
0.9%
Space Separator
ValueCountFrequency (%)
6913
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22424
54.8%
Common 18124
44.3%
Latin 349
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1391
 
6.2%
1351
 
6.0%
1173
 
5.2%
1171
 
5.2%
1168
 
5.2%
1134
 
5.1%
1133
 
5.1%
1125
 
5.0%
1021
 
4.6%
937
 
4.2%
Other values (255) 10820
48.3%
Latin
ValueCountFrequency (%)
e 69
19.8%
C 33
9.5%
P 24
 
6.9%
c 24
 
6.9%
n 24
 
6.9%
a 23
 
6.6%
t 23
 
6.6%
r 23
 
6.6%
l 23
 
6.6%
B 14
 
4.0%
Other values (18) 69
19.8%
Common
ValueCountFrequency (%)
6913
38.1%
1 1716
 
9.5%
, 1365
 
7.5%
) 1152
 
6.4%
( 1152
 
6.4%
0 1091
 
6.0%
2 1069
 
5.9%
3 805
 
4.4%
4 506
 
2.8%
5 499
 
2.8%
Other values (5) 1856
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22424
54.8%
ASCII 18472
45.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6913
37.4%
1 1716
 
9.3%
, 1365
 
7.4%
) 1152
 
6.2%
( 1152
 
6.2%
0 1091
 
5.9%
2 1069
 
5.8%
3 805
 
4.4%
4 506
 
2.7%
5 499
 
2.7%
Other values (32) 2204
 
11.9%
Hangul
ValueCountFrequency (%)
1391
 
6.2%
1351
 
6.0%
1173
 
5.2%
1171
 
5.2%
1168
 
5.2%
1134
 
5.1%
1133
 
5.1%
1125
 
5.0%
1021
 
4.6%
937
 
4.2%
Other values (255) 10820
48.3%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct122
Distinct (%)11.5%
Missing69
Missing (%)6.1%
Memory size8.9 KiB
2024-05-11T16:01:32.132420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0274102
Min length5

Characters and Unicode

Total characters5319
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

Unique37 ?
Unique (%)3.5%

Sample

1st row04520
2nd row04532
3rd row04543
4th row04553
5th row04551
ValueCountFrequency (%)
04522 102
 
9.6%
04532 60
 
5.7%
04521 60
 
5.7%
04534 49
 
4.6%
04631 46
 
4.3%
04520 45
 
4.3%
04533 39
 
3.7%
04516 36
 
3.4%
04535 34
 
3.2%
04519 26
 
2.5%
Other values (112) 561
53.0%
2024-05-11T16:01:32.743437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1227
23.1%
4 1220
22.9%
5 1048
19.7%
2 477
 
9.0%
3 416
 
7.8%
1 393
 
7.4%
6 319
 
6.0%
9 90
 
1.7%
7 88
 
1.7%
8 40
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5318
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1227
23.1%
4 1220
22.9%
5 1048
19.7%
2 477
 
9.0%
3 416
 
7.8%
1 393
 
7.4%
6 319
 
6.0%
9 90
 
1.7%
7 88
 
1.7%
8 40
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1227
23.1%
4 1220
22.9%
5 1048
19.7%
2 477
 
9.0%
3 416
 
7.8%
1 393
 
7.4%
6 319
 
6.0%
9 90
 
1.7%
7 88
 
1.7%
8 40
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1227
23.1%
4 1220
22.9%
5 1048
19.7%
2 477
 
9.0%
3 416
 
7.8%
1 393
 
7.4%
6 319
 
6.0%
9 90
 
1.7%
7 88
 
1.7%
8 40
 
0.8%
Distinct1117
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T16:01:33.119807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length8.9228039
Min length2

Characters and Unicode

Total characters10056
Distinct characters514
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1107 ?
Unique (%)98.2%

Sample

1st row서울항공여행사(주)
2nd row(주)한진관광
3rd row고려여행사(주)
4th row롯데관광(주)
5th row(주)제이티시서울해외여행사
ValueCountFrequency (%)
주식회사 208
 
14.9%
유한회사 7
 
0.5%
co.,ltd 3
 
0.2%
코리아 3
 
0.2%
inc 3
 
0.2%
주)천주국제여행사 2
 
0.1%
주)비욘드코리아 2
 
0.1%
여행사 2
 
0.1%
korea 2
 
0.1%
2
 
0.1%
Other values (1147) 1158
83.2%
2024-05-11T16:01:33.763205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
984
 
9.8%
( 776
 
7.7%
) 776
 
7.7%
402
 
4.0%
319
 
3.2%
295
 
2.9%
292
 
2.9%
265
 
2.6%
228
 
2.3%
221
 
2.2%
Other values (504) 5498
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8048
80.0%
Open Punctuation 776
 
7.7%
Close Punctuation 776
 
7.7%
Space Separator 265
 
2.6%
Uppercase Letter 115
 
1.1%
Lowercase Letter 59
 
0.6%
Other Punctuation 11
 
0.1%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
984
 
12.2%
402
 
5.0%
319
 
4.0%
295
 
3.7%
292
 
3.6%
228
 
2.8%
221
 
2.7%
217
 
2.7%
213
 
2.6%
211
 
2.6%
Other values (456) 4666
58.0%
Uppercase Letter
ValueCountFrequency (%)
O 13
 
11.3%
A 9
 
7.8%
R 8
 
7.0%
L 8
 
7.0%
E 8
 
7.0%
C 8
 
7.0%
I 7
 
6.1%
N 6
 
5.2%
M 6
 
5.2%
G 5
 
4.3%
Other values (13) 37
32.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
16.9%
n 9
15.3%
t 6
10.2%
i 5
8.5%
a 4
 
6.8%
e 4
 
6.8%
d 3
 
5.1%
s 3
 
5.1%
u 3
 
5.1%
w 2
 
3.4%
Other values (6) 10
16.9%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
7 1
 
16.7%
2 1
 
16.7%
0 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
, 3
 
27.3%
Open Punctuation
ValueCountFrequency (%)
( 776
100.0%
Close Punctuation
ValueCountFrequency (%)
) 776
100.0%
Space Separator
ValueCountFrequency (%)
265
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8041
80.0%
Common 1834
 
18.2%
Latin 174
 
1.7%
Han 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
984
 
12.2%
402
 
5.0%
319
 
4.0%
295
 
3.7%
292
 
3.6%
228
 
2.8%
221
 
2.7%
217
 
2.7%
213
 
2.6%
211
 
2.6%
Other values (449) 4659
57.9%
Latin
ValueCountFrequency (%)
O 13
 
7.5%
o 10
 
5.7%
n 9
 
5.2%
A 9
 
5.2%
R 8
 
4.6%
L 8
 
4.6%
E 8
 
4.6%
C 8
 
4.6%
I 7
 
4.0%
N 6
 
3.4%
Other values (29) 88
50.6%
Common
ValueCountFrequency (%)
( 776
42.3%
) 776
42.3%
265
 
14.4%
. 8
 
0.4%
, 3
 
0.2%
1 3
 
0.2%
7 1
 
0.1%
2 1
 
0.1%
0 1
 
0.1%
Han
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8041
80.0%
ASCII 2008
 
20.0%
CJK 6
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
984
 
12.2%
402
 
5.0%
319
 
4.0%
295
 
3.7%
292
 
3.6%
228
 
2.8%
221
 
2.7%
217
 
2.7%
213
 
2.6%
211
 
2.6%
Other values (449) 4659
57.9%
ASCII
ValueCountFrequency (%)
( 776
38.6%
) 776
38.6%
265
 
13.2%
O 13
 
0.6%
o 10
 
0.5%
n 9
 
0.4%
A 9
 
0.4%
R 8
 
0.4%
L 8
 
0.4%
E 8
 
0.4%
Other values (38) 126
 
6.3%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct1120
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2009-11-09 09:21:07
Maximum2024-05-09 13:59:40
2024-05-11T16:01:34.027115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:34.324382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
U
957 
I
170 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 957
84.9%
I 170
 
15.1%

Length

2024-05-11T16:01:34.525722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:34.654794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 957
84.9%
i 170
 
15.1%
Distinct356
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T16:01:34.822311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:01:35.035576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct399
Distinct (%)35.5%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean198676.84
Minimum196757.2
Maximum201866.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:35.237223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196757.2
5-th percentile197346.66
Q1198099.98
median198357.31
Q3199096.87
95-th percentile200750.46
Maximum201866.04
Range5108.843
Interquartile range (IQR)996.89298

Descriptive statistics

Standard deviation1022.5799
Coefficient of variation (CV)0.0051469504
Kurtosis0.59338715
Mean198676.84
Median Absolute Deviation (MAD)387.12423
Skewness1.0897882
Sum2.2351145 × 108
Variance1045669.6
MonotonicityNot monotonic
2024-05-11T16:01:35.444926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198193.534402364 33
 
2.9%
198306.905839189 32
 
2.8%
198181.065719655 28
 
2.5%
198068.059896866 22
 
2.0%
198388.365585519 22
 
2.0%
198367.639004526 22
 
2.0%
197346.664858178 21
 
1.9%
198137.354306134 21
 
1.9%
198459.656304955 20
 
1.8%
198300.022318698 20
 
1.8%
Other values (389) 884
78.4%
ValueCountFrequency (%)
196757.196489998 1
 
0.1%
196757.683195655 1
 
0.1%
196772.112495741 4
0.4%
196792.629308816 1
 
0.1%
196948.933328771 1
 
0.1%
197016.045805141 1
 
0.1%
197036.542728288 1
 
0.1%
197037.368787577 1
 
0.1%
197064.379337615 1
 
0.1%
197133.181826761 6
0.5%
ValueCountFrequency (%)
201866.039519433 1
 
0.1%
201823.908977364 4
0.4%
201775.682523178 1
 
0.1%
201742.110298471 1
 
0.1%
201646.708676195 1
 
0.1%
201583.791373362 1
 
0.1%
201512.77005359 1
 
0.1%
201442.039019479 5
0.4%
201432.508538399 1
 
0.1%
201398.73515439 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct399
Distinct (%)35.5%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean451324.02
Minimum449638.82
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:35.677192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450665.05
Q1451105.47
median451325.01
Q3451650.96
95-th percentile451808.1
Maximum452076.82
Range2437.9944
Interquartile range (IQR)545.48123

Descriptive statistics

Standard deviation365.99833
Coefficient of variation (CV)0.00081094361
Kurtosis0.3197121
Mean451324.02
Median Absolute Deviation (MAD)296.03039
Skewness-0.68215078
Sum5.0773952 × 108
Variance133954.78
MonotonicityNot monotonic
2024-05-11T16:01:35.915471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451650.955791238 33
 
2.9%
451808.098341971 32
 
2.8%
451278.604208341 28
 
2.5%
451666.732613608 22
 
2.0%
450963.241815173 22
 
2.0%
451720.217970577 22
 
2.0%
451164.44975357 21
 
1.9%
451759.123871901 21
 
1.9%
451484.997004171 20
 
1.8%
451702.546231816 20
 
1.8%
Other values (389) 884
78.4%
ValueCountFrequency (%)
449638.824308081 2
0.2%
450122.648712336 1
0.1%
450138.913387478 1
0.1%
450183.509346463 1
0.1%
450220.266556941 1
0.1%
450220.341620653 1
0.1%
450289.83533661 1
0.1%
450291.287150482 1
0.1%
450297.873617696 1
0.1%
450309.162582147 1
0.1%
ValueCountFrequency (%)
452076.818664092 4
 
0.4%
451895.394068981 1
 
0.1%
451856.887220499 1
 
0.1%
451842.045761983 12
 
1.1%
451836.458256618 4
 
0.4%
451834.304529441 1
 
0.1%
451827.973207366 2
 
0.2%
451827.081005774 1
 
0.1%
451808.098341971 32
2.8%
451800.726494393 10
 
0.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
781 
종합여행업
345 
일반여행업
 
1

Length

Max length5
Median length4
Mean length4.3070098
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 781
69.3%
종합여행업 345
30.6%
일반여행업 1
 
0.1%

Length

2024-05-11T16:01:36.115179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:36.251973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
69.3%
종합여행업 345
30.6%
일반여행업 1
 
0.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1116 
일반상업지역
 
5
일반주거지역
 
2
준주거지역
 
2
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.0159716
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1116
99.0%
일반상업지역 5
 
0.4%
일반주거지역 2
 
0.2%
준주거지역 2
 
0.2%
근린상업지역 1
 
0.1%
상업지역 1
 
0.1%

Length

2024-05-11T16:01:36.467759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:36.667823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1116
99.0%
일반상업지역 5
 
0.4%
일반주거지역 2
 
0.2%
준주거지역 2
 
0.2%
근린상업지역 1
 
0.1%
상업지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.0%
Missing782
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.16811594
Minimum0
Maximum23
Zeros338
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:36.824832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5572871
Coefficient of variation (CV)9.2631735
Kurtosis155.30458
Mean0.16811594
Median Absolute Deviation (MAD)0
Skewness11.879221
Sum58
Variance2.4251432
MonotonicityNot monotonic
2024-05-11T16:01:36.992625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 338
30.0%
3 2
 
0.2%
4 1
 
0.1%
23 1
 
0.1%
14 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%
(Missing) 782
69.4%
ValueCountFrequency (%)
0 338
30.0%
2 1
 
0.1%
3 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%
14 1
 
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
14 1
 
0.1%
9 1
 
0.1%
4 1
 
0.1%
3 2
 
0.2%
2 1
 
0.1%
0 338
30.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1121 
기타
 
5
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9946761
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1121
99.5%
기타 5
 
0.4%
학교정화(상대) 1
 
0.1%

Length

2024-05-11T16:01:37.151423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:37.272545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1121
99.5%
기타 5
 
0.4%
학교정화(상대 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

보험기관명
Text

MISSING 

Distinct58
Distinct (%)19.1%
Missing823
Missing (%)73.0%
Memory size8.9 KiB
2024-05-11T16:01:37.539454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length10.667763
Min length3

Characters and Unicode

Total characters3243
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)10.5%

Sample

1st row서울보증보험(5천만원)
2nd row여행공제회(5천만원)
3rd row여행공제회
4th row여행공제회
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험(5천만원 94
30.9%
서울보증보험 33
 
10.9%
서울보증보험(5천만 25
 
8.2%
여행공제회(5천만원 20
 
6.6%
여행공제회 20
 
6.6%
관광공제회(5천만원 14
 
4.6%
서울보증보험(6천5백만원 7
 
2.3%
서울보증보험주식회사 6
 
2.0%
서울보증보험(오천만원 6
 
2.0%
서울보증(5천만원 5
 
1.6%
Other values (48) 74
24.3%
2024-05-11T16:01:38.081069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
442
13.6%
( 240
 
7.4%
) 240
 
7.4%
5 228
 
7.0%
224
 
6.9%
223
 
6.9%
219
 
6.8%
218
 
6.7%
216
 
6.7%
216
 
6.7%
Other values (31) 777
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2433
75.0%
Decimal Number 319
 
9.8%
Open Punctuation 240
 
7.4%
Close Punctuation 240
 
7.4%
Other Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
442
18.2%
224
9.2%
223
9.2%
219
9.0%
218
9.0%
216
8.9%
216
8.9%
184
7.6%
89
 
3.7%
67
 
2.8%
Other values (21) 335
13.8%
Decimal Number
ValueCountFrequency (%)
5 228
71.5%
0 45
 
14.1%
6 22
 
6.9%
8 12
 
3.8%
1 11
 
3.4%
2 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
. 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2433
75.0%
Common 810
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
442
18.2%
224
9.2%
223
9.2%
219
9.0%
218
9.0%
216
8.9%
216
8.9%
184
7.6%
89
 
3.7%
67
 
2.8%
Other values (21) 335
13.8%
Common
ValueCountFrequency (%)
( 240
29.6%
) 240
29.6%
5 228
28.1%
0 45
 
5.6%
6 22
 
2.7%
8 12
 
1.5%
1 11
 
1.4%
, 10
 
1.2%
. 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2433
75.0%
ASCII 810
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
442
18.2%
224
9.2%
223
9.2%
219
9.0%
218
9.0%
216
8.9%
216
8.9%
184
7.6%
89
 
3.7%
67
 
2.8%
Other values (21) 335
13.8%
ASCII
ValueCountFrequency (%)
( 240
29.6%
) 240
29.6%
5 228
28.1%
0 45
 
5.6%
6 22
 
2.7%
8 12
 
1.5%
1 11
 
1.4%
, 10
 
1.2%
. 1
 
0.1%
2 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
993 
사무실
104 
근린생활시설
 
29
기타
 
1

Length

Max length6
Median length4
Mean length3.9574091
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 993
88.1%
사무실 104
 
9.2%
근린생활시설 29
 
2.6%
기타 1
 
0.1%

Length

2024-05-11T16:01:38.698227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:38.903112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 993
88.1%
사무실 104
 
9.2%
근린생활시설 29
 
2.6%
기타 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)2.6%
Missing782
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.22898551
Minimum0
Maximum17
Zeros336
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:39.044675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.634396
Coefficient of variation (CV)7.1375523
Kurtosis69.749368
Mean0.22898551
Median Absolute Deviation (MAD)0
Skewness8.1582909
Sum79
Variance2.6712504
MonotonicityNot monotonic
2024-05-11T16:01:39.206622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 336
29.8%
4 2
 
0.2%
2 1
 
0.1%
17 1
 
0.1%
12 1
 
0.1%
5 1
 
0.1%
15 1
 
0.1%
13 1
 
0.1%
7 1
 
0.1%
(Missing) 782
69.4%
ValueCountFrequency (%)
0 336
29.8%
2 1
 
0.1%
4 2
 
0.2%
5 1
 
0.1%
7 1
 
0.1%
12 1
 
0.1%
13 1
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
15 1
 
0.1%
13 1
 
0.1%
12 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
4 2
 
0.2%
2 1
 
0.1%
0 336
29.8%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
339 
1
 
3
6
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 339
30.1%
1 3
 
0.3%
6 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Length

2024-05-11T16:01:39.405887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:39.602988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 339
30.1%
1 3
 
0.3%
6 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:39.805055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:39.979302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:40.158976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:40.333877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

영문상호명
Text

MISSING 

Distinct142
Distinct (%)100.0%
Missing985
Missing (%)87.4%
Memory size8.9 KiB
2024-05-11T16:01:40.917259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length22.309859
Min length1

Characters and Unicode

Total characters3168
Distinct characters63
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)100.0%

Sample

1st rowOTS ILHUNG Co., Ltd.
2nd rowHANWHA HOTEL & RESORT
3rd row3
4th rowMYTH TOUR
5th rowAIR & TOURS Co., Ltd.
ValueCountFrequency (%)
co 85
 
16.3%
ltd 85
 
16.3%
tour 46
 
8.8%
international 24
 
4.6%
co.,ltd 18
 
3.5%
travel 18
 
3.5%
korea 15
 
2.9%
inc 6
 
1.2%
4
 
0.8%
service 4
 
0.8%
Other values (200) 216
41.5%
2024-05-11T16:01:41.853202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
12.1%
. 198
 
6.2%
o 191
 
6.0%
L 158
 
5.0%
t 150
 
4.7%
T 143
 
4.5%
C 133
 
4.2%
O 125
 
3.9%
I 107
 
3.4%
d 103
 
3.3%
Other values (53) 1476
46.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1440
45.5%
Lowercase Letter 1023
32.3%
Space Separator 384
 
12.1%
Other Punctuation 308
 
9.7%
Dash Punctuation 5
 
0.2%
Other Letter 5
 
0.2%
Close Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 158
11.0%
T 143
9.9%
C 133
9.2%
O 125
 
8.7%
I 107
 
7.4%
A 99
 
6.9%
R 98
 
6.8%
N 98
 
6.8%
E 90
 
6.2%
U 67
 
4.7%
Other values (16) 322
22.4%
Lowercase Letter
ValueCountFrequency (%)
o 191
18.7%
t 150
14.7%
d 103
10.1%
n 90
8.8%
r 88
8.6%
a 83
8.1%
e 74
 
7.2%
u 46
 
4.5%
l 41
 
4.0%
i 40
 
3.9%
Other values (14) 117
11.4%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 198
64.3%
, 102
33.1%
& 8
 
2.6%
Space Separator
ValueCountFrequency (%)
384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2463
77.7%
Common 700
 
22.1%
Han 5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 191
 
7.8%
L 158
 
6.4%
t 150
 
6.1%
T 143
 
5.8%
C 133
 
5.4%
O 125
 
5.1%
I 107
 
4.3%
d 103
 
4.2%
A 99
 
4.0%
R 98
 
4.0%
Other values (40) 1156
46.9%
Common
ValueCountFrequency (%)
384
54.9%
. 198
28.3%
, 102
 
14.6%
& 8
 
1.1%
- 5
 
0.7%
) 1
 
0.1%
3 1
 
0.1%
( 1
 
0.1%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3163
99.8%
CJK 4
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
 
12.1%
. 198
 
6.3%
o 191
 
6.0%
L 158
 
5.0%
t 150
 
4.7%
T 143
 
4.5%
C 133
 
4.2%
O 125
 
4.0%
I 107
 
3.4%
d 103
 
3.3%
Other values (48) 1471
46.5%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
984 
General travel business
 
69
GENERAL TRAVEL BUSINESS
 
52
General Travel Business
 
20
GENERAL TRAVEL BUSINE
 
1

Length

Max length23
Median length4
Mean length6.4090506
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 984
87.3%
General travel business 69
 
6.1%
GENERAL TRAVEL BUSINESS 52
 
4.6%
General Travel Business 20
 
1.8%
GENERAL TRAVEL BUSINE 1
 
0.1%
Genaral Travel Business 1
 
0.1%

Length

2024-05-11T16:01:42.107427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:42.305287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 984
69.6%
travel 143
 
10.1%
general 142
 
10.0%
business 142
 
10.0%
busine 1
 
0.1%
genaral 1
 
0.1%

선박총톤수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:42.492764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:42.657235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:42.834264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:43.004415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:43.164469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:43.388664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:43.615991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:43.789091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:43.965941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:44.128145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)34.1%
Missing781
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean49.088468
Minimum0
Maximum3596.57
Zeros197
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:44.338971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344.3225
95-th percentile165.2975
Maximum3596.57
Range3596.57
Interquartile range (IQR)44.3225

Descriptive statistics

Standard deviation224.351
Coefficient of variation (CV)4.5703402
Kurtosis190.33644
Mean49.088468
Median Absolute Deviation (MAD)0
Skewness12.855871
Sum16984.61
Variance50333.372
MonotonicityNot monotonic
2024-05-11T16:01:44.575981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 197
 
17.5%
33.0 5
 
0.4%
66.0 5
 
0.4%
85.95 4
 
0.4%
10.0 4
 
0.4%
1.3 3
 
0.3%
79.34 2
 
0.2%
44.3 2
 
0.2%
6.6 2
 
0.2%
98.54 2
 
0.2%
Other values (108) 120
 
10.6%
(Missing) 781
69.3%
ValueCountFrequency (%)
0.0 197
17.5%
1.3 3
 
0.3%
1.65 1
 
0.1%
3.0 2
 
0.2%
3.3 2
 
0.2%
4.67 1
 
0.1%
5.0 1
 
0.1%
5.7 1
 
0.1%
6.6 2
 
0.2%
6.61 1
 
0.1%
ValueCountFrequency (%)
3596.57 1
0.1%
1690.22 1
0.1%
753.15 1
0.1%
707.44 1
0.1%
406.6 1
0.1%
340.5 1
0.1%
262.26 1
0.1%
249.72 1
0.1%
191.74 1
0.1%
190.0 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
782 
0
345 

Length

Max length4
Median length4
Mean length3.0816327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
69.4%
0 345
30.6%

Length

2024-05-11T16:01:44.789571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:44.956510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
69.4%
0 345
30.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1126 
20200101
 
1

Length

Max length8
Median length4
Mean length4.0035492
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1126
99.9%
20200101 1
 
0.1%

Length

2024-05-11T16:01:45.140897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:45.322156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1126
99.9%
20200101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1126 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0035492
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1126
99.9%
20201231 1
 
0.1%

Length

2024-05-11T16:01:45.500303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:01:45.697269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1126
99.9%
20201231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)15.9%
Missing782
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean4.1859606 × 108
Minimum0
Maximum7.5446962 × 1010
Zeros106
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:45.895761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1 × 108
Q32 × 108
95-th percentile3.5 × 108
Maximum7.5446962 × 1010
Range7.5446962 × 1010
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation4.2424993 × 109
Coefficient of variation (CV)10.135067
Kurtosis288.81434
Mean4.1859606 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness16.628663
Sum1.4441564 × 1011
Variance1.79988 × 1019
MonotonicityNot monotonic
2024-05-11T16:01:46.491047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
9.4%
100000000 93
 
8.3%
200000000 78
 
6.9%
350000000 9
 
0.8%
300000000 5
 
0.4%
360000000 2
 
0.2%
500000000 2
 
0.2%
120000000 2
 
0.2%
50000000 2
 
0.2%
10000000 1
 
0.1%
Other values (45) 45
 
4.0%
(Missing) 782
69.4%
ValueCountFrequency (%)
0 106
9.4%
10000000 1
 
0.1%
15000000 1
 
0.1%
20000000 1
 
0.1%
50000000 2
 
0.2%
100000000 93
8.3%
101000000 1
 
0.1%
102883531 1
 
0.1%
103453446 1
 
0.1%
108856357 1
 
0.1%
ValueCountFrequency (%)
75446962297 1
0.1%
23259350000 1
0.1%
2283130000 1
0.1%
1688072136 1
0.1%
1000000000 1
0.1%
900000000 1
0.1%
800000000 1
0.1%
640000000 1
0.1%
500000000 2
0.2%
450000000 1
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct294
Distinct (%)91.6%
Missing806
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean20166519
Minimum20060901
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:46.764053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060901
5-th percentile20091229
Q120150327
median20170811
Q320191011
95-th percentile20210629
Maximum20211207
Range150306
Interquartile range (IQR)40684

Descriptive statistics

Standard deviation35582.299
Coefficient of variation (CV)0.0017644244
Kurtosis0.10243299
Mean20166519
Median Absolute Deviation (MAD)20210
Skewness-0.85895689
Sum6.4734526 × 109
Variance1.2661 × 109
MonotonicityNot monotonic
2024-05-11T16:01:47.025471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180909 3
 
0.3%
20120101 3
 
0.3%
20160701 3
 
0.3%
20190918 2
 
0.2%
20210609 2
 
0.2%
20201126 2
 
0.2%
20190614 2
 
0.2%
20210406 2
 
0.2%
20200903 2
 
0.2%
20080110 2
 
0.2%
Other values (284) 298
 
26.4%
(Missing) 806
71.5%
ValueCountFrequency (%)
20060901 1
0.1%
20070111 1
0.1%
20070302 1
0.1%
20070612 1
0.1%
20070930 1
0.1%
20071001 1
0.1%
20080110 2
0.2%
20080425 1
0.1%
20080617 1
0.1%
20081223 1
0.1%
ValueCountFrequency (%)
20211207 1
0.1%
20211206 1
0.1%
20211116 1
0.1%
20211102 1
0.1%
20211101 1
0.1%
20211001 1
0.1%
20210914 1
0.1%
20210830 1
0.1%
20210809 1
0.1%
20210803 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)92.5%
Missing806
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean20176612
Minimum20070831
Maximum20241031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:47.289379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070831
5-th percentile20101222
Q120160327
median20180810
Q320201011
95-th percentile20220709
Maximum20241031
Range170200
Interquartile range (IQR)40684

Descriptive statistics

Standard deviation35850.036
Coefficient of variation (CV)0.0017768115
Kurtosis0.07492899
Mean20176612
Median Absolute Deviation (MAD)20210
Skewness-0.83714046
Sum6.4766926 × 109
Variance1.2852251 × 109
MonotonicityNot monotonic
2024-05-11T16:01:47.536326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170630 4
 
0.4%
20190908 3
 
0.3%
20200901 2
 
0.2%
20200531 2
 
0.2%
20220119 2
 
0.2%
20090110 2
 
0.2%
20130903 2
 
0.2%
20200613 2
 
0.2%
20120111 2
 
0.2%
20200918 2
 
0.2%
Other values (287) 298
 
26.4%
(Missing) 806
71.5%
ValueCountFrequency (%)
20070831 1
0.1%
20080111 1
0.1%
20080302 1
0.1%
20080612 1
0.1%
20080930 1
0.1%
20081001 1
0.1%
20090110 2
0.2%
20090424 1
0.1%
20090616 1
0.1%
20091223 1
0.1%
ValueCountFrequency (%)
20241031 1
0.1%
20221206 1
0.1%
20221205 1
0.1%
20221125 1
0.1%
20221115 1
0.1%
20221101 1
0.1%
20221031 1
0.1%
20220930 1
0.1%
20220914 1
0.1%
20220829 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1127
Missing (%)100.0%
Memory size10.0 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)23.1%
Missing781
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean49.095376
Minimum0
Maximum3597
Zeros197
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T16:01:47.791341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344
95-th percentile165
Maximum3597
Range3597
Interquartile range (IQR)44

Descriptive statistics

Standard deviation224.36339
Coefficient of variation (CV)4.5699496
Kurtosis190.37629
Mean49.095376
Median Absolute Deviation (MAD)0
Skewness12.857235
Sum16987
Variance50338.933
MonotonicityNot monotonic
2024-05-11T16:01:48.148529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 197
 
17.5%
50 7
 
0.6%
33 6
 
0.5%
44 6
 
0.5%
7 5
 
0.4%
66 5
 
0.4%
86 4
 
0.4%
3 4
 
0.4%
10 4
 
0.4%
99 4
 
0.4%
Other values (70) 104
 
9.2%
(Missing) 781
69.3%
ValueCountFrequency (%)
0 197
17.5%
1 3
 
0.3%
2 1
 
0.1%
3 4
 
0.4%
5 2
 
0.2%
6 1
 
0.1%
7 5
 
0.4%
8 3
 
0.3%
9 1
 
0.1%
10 4
 
0.4%
ValueCountFrequency (%)
3597 1
0.1%
1690 1
0.1%
753 1
0.1%
707 1
0.1%
407 1
0.1%
341 1
0.1%
262 1
0.1%
250 1
0.1%
192 1
0.1%
190 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03010000CDFI226004198200000119820918<NA>1영업/정상13영업중<NA><NA><NA><NA>753-8585<NA>100170서울특별시 중구 무교동 32-2서울특별시 중구 무교로 15, 7층 (무교동, 남강빌딩)04520서울항공여행사(주)2021-12-24 13:19:56U2021-12-26 02:40:00.0<NA>198068.059897451666.732614종합여행업<NA><NA>0<NA><NA>서울보증보험(5천만원)<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02021120620221205<NA>0
13010000CDFI22600419830000011983-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA>726-5632<NA><NA>서울특별시 중구 소공동 51 한진빌딩서울특별시 중구 소공로 88, 한진빌딩 (소공동)04532(주)한진관광2024-01-16 19:37:48U2023-11-30 23:08:00.0<NA>198243.861002451204.224895<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFI226004198300000219830725201007304취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>771-3100<NA>100736서울특별시 중구 서소문동 57-7번지 동화빌딩 5층서울특별시 중구 서소문로 101 (서소문동,동화빌딩 5층)<NA>고려여행사(주)2010-07-30 16:20:49I2018-08-31 23:59:59.0<NA>197492.659473451177.629382종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02007100120081001<NA>0
33010000CDFI22600419830000031983-07-30<NA>1영업/정상13영업중<NA><NA><NA><NA>2078-6600<NA><NA>서울특별시 중구 수표동 27-1서울특별시 중구 을지로11길 15 (수표동)04543롯데관광(주)2024-01-15 17:21:42U2023-11-30 23:08:00.0<NA>199097.276819451645.274277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43010000CDFI226004198700000119871203<NA>3폐업3폐업20151231<NA><NA><NA>02-757-2141<NA>100012서울특별시 중구 충무로2가 50-6번지서울특별시 중구 삼일대로4길 9, 1107호 (충무로2가, 라이온스빌딩)04553(주)제이티시서울해외여행사2015-12-29 16:53:53I2018-08-31 23:59:59.0<NA>199023.967504451105.474558종합여행업<NA><NA>0<NA><NA>여행공제회(5천만원)<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02015011420160114<NA>0
53010000CDFI22600419880000011988-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>756-0155<NA>100-180서울특별시 중구 다동 117 나전빌딩 305,306호서울특별시 중구 남대문로9길 12 (다동,나전빌딩 305,306호)<NA>한비여행사(주)2023-03-15 15:47:53U2022-12-02 23:07:00.0<NA>198319.00719451622.506327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000CDFI226004198800000219880504201305314취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>2272-1191<NA>100861서울특별시 중구 충무로2가 60-3번지 성창빌딩 309호서울특별시 중구 삼일대로 299, 309호 (충무로2가,성창빌딩)<NA>아세아관광개발2013-05-31 15:23:29I2018-08-31 23:59:59.0<NA>198911.806394451032.316115종합여행업<NA><NA>0<NA><NA>여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02010102920111029<NA>0
73010000CDFI22600419890000021989-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-7000<NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴 19층서울특별시 중구 을지로 100, 에이동 19층 (을지로2가)04551신한카드(주)2023-09-13 17:52:23U2022-12-08 23:05:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83010000CDFI22600419890000031989-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA>754-0035<NA><NA>서울특별시 중구 무교동 32-2 1001호서울특별시 중구 무교로 15 (무교동, 남강건설회관빌딩)04520동국관광(주)2023-06-12 11:01:48U2022-12-05 23:04:00.0<NA>198068.059897451666.732614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93010000CDFI22600419890000041989-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-728-8015<NA>100-191서울특별시 중구 을지로1가 188-3 백남빌딩 501호서울특별시 중구 을지로 16, 501호 (을지로1가,백남빌딩)<NA>(주)모두투어네트워크2023-09-22 16:55:36U2022-12-08 22:04:00.0<NA>198113.370664451483.299977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
11173010000CDFI22600420240000342024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로1가 18 그레이츠 청계서울특별시 중구 남대문로 120, 그레이츠 청계 10층 (남대문로1가)04540미키트래블홍콩 유한회사2024-04-16 17:37:27I2023-12-03 23:08:00.0<NA>198432.295442451739.340203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11183010000CDFI22600420240000352024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 155 센터플레이스(Center Place)서울특별시 중구 남대문로9길 40, 센터플레이스(Center Place) 23층 2302호 (다동)04522주식회사 피플랜2024-04-23 16:49:41I2023-12-03 22:05:00.0<NA>198193.534402451650.955791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11193010000CDFI22600420240000362023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 수표동 99 시그니쳐타워서울특별시 중구 청계천로 100, 시그니쳐타워 서관 1027호 (수표동)04542주식회사 언폴드2024-04-26 09:58:00I2023-12-03 22:08:00.0<NA>198916.65348451694.842894<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11203010000CDFI22600420240000372024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동1가 15-11서울특별시 중구 을지로20길 20, 301호 (인현동1가)04549유에시트래블서비스 유한회사2024-04-30 09:09:37I2023-12-05 00:02:00.0<NA>199516.11403451473.70525<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11213010000CDFI22600420240000382018-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-718-5500<NA><NA>서울특별시 중구 장충동2가 187-3서울특별시 중구 동호로24길 27-5, 412호 (장충동2가)04617주식회사 케이비젼투어2024-04-30 10:43:23I2023-12-05 00:02:00.0<NA>200382.183303450908.382396<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11223010000CDFI22600420240000392024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 삼각동 115 경기빌딩서울특별시 중구 남대문로10길 9, 경기빌딩 502호 (삼각동)04540주식회사 투어나이스2024-05-01 09:16:03I2023-12-05 00:03:00.0<NA>198448.848429451658.304455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11233010000CDFI22600420240000402024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 2545 롯데캐슬베네치아서울특별시 중구 청계천로 400, 지하2층 (황학동, 롯데캐슬베네치아)04572주식회사 하나트립2024-05-07 16:00:54I2023-12-05 00:09:00.0<NA>201823.908977452076.818664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11243010000CDFI22600420240000412024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 무교동 7 시그너스빌딩서울특별시 중구 무교로 28, 시그너스빌딩 604호 (무교동)04521더키트래블 주식회사2024-05-08 09:09:53I2023-12-04 23:00:00.0<NA>198127.728015451800.726494<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11253010000CDFI22600420240000422024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-318-5128,<NA><NA>서울특별시 중구 소공동 28 태양빌딩서울특별시 중구 남대문로7길 11, 태양빌딩 601호 (소공동)04532주식회사 성찬여행사2024-05-09 12:10:10I2023-12-04 23:01:00.0<NA>198274.209368451268.055532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11263010000CDFI22600420240000432023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 회현동2가 87 쌍용남산플래티넘서울특별시 중구 소공로 46, 211호 (회현동2가, 쌍용남산플래티넘)04631주식회사 스카이여행사2024-05-09 13:59:40I2023-12-04 23:01:00.0<NA>198447.629369450791.988371<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>