Overview

Dataset statistics

Number of variables60
Number of observations503
Missing cells10494
Missing cells (%)34.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory254.6 KiB
Average record size in memory518.3 B

Variable types

Categorical22
Text10
DateTime4
Numeric10
Unsupported14

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-17553/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
총층수 is highly imbalanced (75.2%)Imbalance
건물용도명 is highly imbalanced (77.1%)Imbalance
지하층수 is highly imbalanced (64.4%)Imbalance
영문상호주소 is highly imbalanced (92.2%)Imbalance
기획여행보험시작일자 is highly imbalanced (97.4%)Imbalance
기획여행보험종료일자 is highly imbalanced (97.4%)Imbalance
인허가취소일자 has 472 (93.8%) missing valuesMissing
폐업일자 has 136 (27.0%) missing valuesMissing
휴업시작일자 has 503 (100.0%) missing valuesMissing
휴업종료일자 has 503 (100.0%) missing valuesMissing
재개업일자 has 503 (100.0%) missing valuesMissing
전화번호 has 131 (26.0%) missing valuesMissing
소재지면적 has 503 (100.0%) missing valuesMissing
소재지우편번호 has 133 (26.4%) missing valuesMissing
도로명주소 has 25 (5.0%) missing valuesMissing
도로명우편번호 has 309 (61.4%) missing valuesMissing
업태구분명 has 503 (100.0%) missing valuesMissing
좌표정보(X) has 17 (3.4%) missing valuesMissing
좌표정보(Y) has 17 (3.4%) missing valuesMissing
지역구분명 has 499 (99.2%) missing valuesMissing
주변환경명 has 502 (99.8%) missing valuesMissing
제작취급품목내용 has 503 (100.0%) missing valuesMissing
지상층수 has 63 (12.5%) missing valuesMissing
영문상호명 has 492 (97.8%) missing valuesMissing
선박제원 has 503 (100.0%) missing valuesMissing
기념품종류 has 503 (100.0%) missing valuesMissing
시설면적 has 63 (12.5%) missing valuesMissing
놀이기구수내역 has 503 (100.0%) missing valuesMissing
방송시설유무 has 503 (100.0%) missing valuesMissing
발전시설유무 has 503 (100.0%) missing valuesMissing
의무실유무 has 503 (100.0%) missing valuesMissing
안내소유무 has 503 (100.0%) missing valuesMissing
자본금 has 63 (12.5%) missing valuesMissing
보험시작일자 has 233 (46.3%) missing valuesMissing
보험종료일자 has 234 (46.5%) missing valuesMissing
부대시설내역 has 503 (100.0%) missing valuesMissing
시설규모 has 63 (12.5%) 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
지상층수 has 434 (86.3%) zerosZeros
시설면적 has 403 (80.1%) zerosZeros
자본금 has 160 (31.8%) zerosZeros
시설규모 has 403 (80.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:57:24.847475
Analysis finished2024-05-11 05:57:26.503270
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3010000
503 

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 503
100.0%

Length

2024-05-11T14:57:26.614406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:26.789042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 503
100.0%

관리번호
Text

UNIQUE 

Distinct503
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T14:57:27.100335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10060
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

Unique503 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011985000001
2nd rowCDFI2260011985000002
3rd rowCDFI2260011989000001
4th rowCDFI2260011989000002
5th rowCDFI2260011989000003
ValueCountFrequency (%)
cdfi2260011985000001 1
 
0.2%
cdfi2260012010000006 1
 
0.2%
cdfi2260012012000012 1
 
0.2%
cdfi2260012012000011 1
 
0.2%
cdfi2260012012000008 1
 
0.2%
cdfi2260012012000005 1
 
0.2%
cdfi2260012012000004 1
 
0.2%
cdfi2260012012000002 1
 
0.2%
cdfi2260012011000014 1
 
0.2%
cdfi2260012011000013 1
 
0.2%
Other values (493) 493
98.0%
2024-05-11T14:57:27.645103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3918
38.9%
2 1665
16.6%
1 1031
 
10.2%
6 603
 
6.0%
C 503
 
5.0%
D 503
 
5.0%
F 503
 
5.0%
I 503
 
5.0%
9 298
 
3.0%
3 119
 
1.2%
Other values (4) 414
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8048
80.0%
Uppercase Letter 2012
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3918
48.7%
2 1665
20.7%
1 1031
 
12.8%
6 603
 
7.5%
9 298
 
3.7%
3 119
 
1.5%
4 115
 
1.4%
5 109
 
1.4%
8 104
 
1.3%
7 86
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 503
25.0%
D 503
25.0%
F 503
25.0%
I 503
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8048
80.0%
Latin 2012
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3918
48.7%
2 1665
20.7%
1 1031
 
12.8%
6 603
 
7.5%
9 298
 
3.7%
3 119
 
1.5%
4 115
 
1.4%
5 109
 
1.4%
8 104
 
1.3%
7 86
 
1.1%
Latin
ValueCountFrequency (%)
C 503
25.0%
D 503
25.0%
F 503
25.0%
I 503
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3918
38.9%
2 1665
16.6%
1 1031
 
10.2%
6 603
 
6.0%
C 503
 
5.0%
D 503
 
5.0%
F 503
 
5.0%
I 503
 
5.0%
9 298
 
3.0%
3 119
 
1.2%
Other values (4) 414
 
4.1%
Distinct469
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum1985-07-03 00:00:00
Maximum2023-05-09 00:00:00
2024-05-11T14:57:27.903177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:28.165638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)35.5%
Missing472
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean20107248
Minimum20091013
Maximum20210106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:28.413723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091013
5-th percentile20091013
Q120091013
median20091013
Q320110824
95-th percentile20155522
Maximum20210106
Range119093
Interquartile range (IQR)19811.5

Descriptive statistics

Standard deviation28153.966
Coefficient of variation (CV)0.0014001899
Kurtosis5.0030815
Mean20107248
Median Absolute Deviation (MAD)0
Skewness2.1652152
Sum6.2332469 × 108
Variance7.9264579 × 108
MonotonicityNot monotonic
2024-05-11T14:57:28.618649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20091013 18
 
3.6%
20100120 3
 
0.6%
20140421 2
 
0.4%
20110719 1
 
0.2%
20100730 1
 
0.2%
20120622 1
 
0.2%
20110930 1
 
0.2%
20160418 1
 
0.2%
20141106 1
 
0.2%
20210106 1
 
0.2%
(Missing) 472
93.8%
ValueCountFrequency (%)
20091013 18
3.6%
20100120 3
 
0.6%
20100730 1
 
0.2%
20110719 1
 
0.2%
20110930 1
 
0.2%
20120622 1
 
0.2%
20140421 2
 
0.4%
20141106 1
 
0.2%
20150625 1
 
0.2%
20160418 1
 
0.2%
ValueCountFrequency (%)
20210106 1
 
0.2%
20160418 1
 
0.2%
20150625 1
 
0.2%
20141106 1
 
0.2%
20140421 2
0.4%
20120622 1
 
0.2%
20110930 1
 
0.2%
20110719 1
 
0.2%
20100730 1
 
0.2%
20100120 3
0.6%
Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
344 
4
126 
1
 
25
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 344
68.4%
4 126
 
25.0%
1 25
 
5.0%
5 8
 
1.6%

Length

2024-05-11T14:57:29.155814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:29.330282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 344
68.4%
4 126
 
25.0%
1 25
 
5.0%
5 8
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
344 
취소/말소/만료/정지/중지
126 
영업/정상
 
25
제외/삭제/전출
 
8

Length

Max length14
Median length2
Mean length5.250497
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 344
68.4%
취소/말소/만료/정지/중지 126
 
25.0%
영업/정상 25
 
5.0%
제외/삭제/전출 8
 
1.6%

Length

2024-05-11T14:57:29.531006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:29.799860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 344
68.4%
취소/말소/만료/정지/중지 126
 
25.0%
영업/정상 25
 
5.0%
제외/삭제/전출 8
 
1.6%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.77336
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:29.938136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q322.5
95-th percentile31
Maximum35
Range32
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation12.169468
Coefficient of variation (CV)1.1295889
Kurtosis-0.78192133
Mean10.77336
Median Absolute Deviation (MAD)0
Skewness1.04812
Sum5419
Variance148.09594
MonotonicityNot monotonic
2024-05-11T14:57:30.132910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 344
68.4%
31 80
 
15.9%
30 29
 
5.8%
13 25
 
5.0%
35 16
 
3.2%
15 8
 
1.6%
32 1
 
0.2%
ValueCountFrequency (%)
3 344
68.4%
13 25
 
5.0%
15 8
 
1.6%
30 29
 
5.8%
31 80
 
15.9%
32 1
 
0.2%
35 16
 
3.2%
ValueCountFrequency (%)
35 16
 
3.2%
32 1
 
0.2%
31 80
 
15.9%
30 29
 
5.8%
15 8
 
1.6%
13 25
 
5.0%
3 344
68.4%
Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
344 
등록취소
80 
허가취소
 
29
영업중
 
25
직권말소
 
16
Other values (2)
 
9

Length

Max length4
Median length2
Mean length2.5506958
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 344
68.4%
등록취소 80
 
15.9%
허가취소 29
 
5.8%
영업중 25
 
5.0%
직권말소 16
 
3.2%
전출 8
 
1.6%
신고취소 1
 
0.2%

Length

2024-05-11T14:57:30.387152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:30.613536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 344
68.4%
등록취소 80
 
15.9%
허가취소 29
 
5.8%
영업중 25
 
5.0%
직권말소 16
 
3.2%
전출 8
 
1.6%
신고취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct328
Distinct (%)89.4%
Missing136
Missing (%)27.0%
Memory size4.1 KiB
Minimum1996-01-31 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:57:30.842259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:31.077137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

전화번호
Text

MISSING 

Distinct362
Distinct (%)97.3%
Missing131
Missing (%)26.0%
Memory size4.1 KiB
2024-05-11T14:57:31.486155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.2284946
Min length7

Characters and Unicode

Total characters3433
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)95.7%

Sample

1st row757-5121
2nd row779-5000
3rd row318-0056
4th row777-8434
5th row777-6681
ValueCountFrequency (%)
02-6049-4051 5
 
1.3%
1588-7726 3
 
0.8%
318-0056 2
 
0.5%
776-7788 2
 
0.5%
07043361824 2
 
0.5%
779-0166 2
 
0.5%
779-0303 1
 
0.3%
02-723-5425 1
 
0.3%
756-0453 1
 
0.3%
027541003 1
 
0.3%
Other values (354) 354
94.7%
2024-05-11T14:57:32.165786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 572
16.7%
0 471
13.7%
2 424
12.4%
- 402
11.7%
3 297
8.7%
5 291
8.5%
1 246
7.2%
8 226
 
6.6%
6 208
 
6.1%
4 157
 
4.6%
Other values (2) 139
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3028
88.2%
Dash Punctuation 402
 
11.7%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 572
18.9%
0 471
15.6%
2 424
14.0%
3 297
9.8%
5 291
9.6%
1 246
8.1%
8 226
 
7.5%
6 208
 
6.9%
4 157
 
5.2%
9 136
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 572
16.7%
0 471
13.7%
2 424
12.4%
- 402
11.7%
3 297
8.7%
5 291
8.5%
1 246
7.2%
8 226
 
6.6%
6 208
 
6.1%
4 157
 
4.6%
Other values (2) 139
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 572
16.7%
0 471
13.7%
2 424
12.4%
- 402
11.7%
3 297
8.7%
5 291
8.5%
1 246
7.2%
8 226
 
6.6%
6 208
 
6.1%
4 157
 
4.6%
Other values (2) 139
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

소재지우편번호
Text

MISSING 

Distinct109
Distinct (%)29.5%
Missing133
Missing (%)26.4%
Memory size4.1 KiB
2024-05-11T14:57:32.635124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.027027
Min length6

Characters and Unicode

Total characters2230
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

Unique58 ?
Unique (%)15.7%

Sample

1st row100013
2nd row100810
3rd row100826
4th row100180
5th row100170
ValueCountFrequency (%)
100170 63
 
17.0%
100180 26
 
7.0%
100814 24
 
6.5%
100101 18
 
4.9%
100813 13
 
3.5%
100080 9
 
2.4%
100130 7
 
1.9%
100736 7
 
1.9%
100191 7
 
1.9%
100011 7
 
1.9%
Other values (99) 189
51.1%
2024-05-11T14:57:33.303337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 970
43.5%
1 641
28.7%
8 174
 
7.8%
7 108
 
4.8%
4 71
 
3.2%
2 64
 
2.9%
3 62
 
2.8%
6 55
 
2.5%
5 43
 
1.9%
9 32
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2220
99.6%
Dash Punctuation 10
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 970
43.7%
1 641
28.9%
8 174
 
7.8%
7 108
 
4.9%
4 71
 
3.2%
2 64
 
2.9%
3 62
 
2.8%
6 55
 
2.5%
5 43
 
1.9%
9 32
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 970
43.5%
1 641
28.7%
8 174
 
7.8%
7 108
 
4.8%
4 71
 
3.2%
2 64
 
2.9%
3 62
 
2.8%
6 55
 
2.5%
5 43
 
1.9%
9 32
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 970
43.5%
1 641
28.7%
8 174
 
7.8%
7 108
 
4.8%
4 71
 
3.2%
2 64
 
2.9%
3 62
 
2.8%
6 55
 
2.5%
5 43
 
1.9%
9 32
 
1.4%
Distinct467
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T14:57:33.886471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length27.510934
Min length15

Characters and Unicode

Total characters13838
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)88.9%

Sample

1st row서울특별시 중구 충무로3가 60-14번지
2nd row서울특별시 중구 명동2가 83-5번지
3rd row서울특별시 중구 신당동 340-77번지
4th row서울특별시 중구 다동 88-0번지
5th row서울특별시 중구 무교동 1번지 효령빌딩 806호
ValueCountFrequency (%)
서울특별시 503
 
18.4%
중구 502
 
18.4%
무교동 79
 
2.9%
서소문동 67
 
2.5%
다동 56
 
2.0%
태평로1가 30
 
1.1%
태평로2가 22
 
0.8%
신당동 21
 
0.8%
순화동 17
 
0.6%
광일빌딩 16
 
0.6%
Other values (745) 1421
52.0%
2024-05-11T14:57:34.694369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2585
 
18.7%
1 691
 
5.0%
588
 
4.2%
517
 
3.7%
511
 
3.7%
509
 
3.7%
507
 
3.7%
507
 
3.7%
503
 
3.6%
2 425
 
3.1%
Other values (232) 6495
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7995
57.8%
Decimal Number 2741
 
19.8%
Space Separator 2585
 
18.7%
Dash Punctuation 363
 
2.6%
Lowercase Letter 99
 
0.7%
Uppercase Letter 30
 
0.2%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
588
 
7.4%
517
 
6.5%
511
 
6.4%
509
 
6.4%
507
 
6.3%
507
 
6.3%
503
 
6.3%
415
 
5.2%
413
 
5.2%
367
 
4.6%
Other values (194) 3158
39.5%
Lowercase Letter
ValueCountFrequency (%)
e 30
30.3%
n 13
13.1%
a 11
 
11.1%
r 10
 
10.1%
t 10
 
10.1%
c 10
 
10.1%
l 9
 
9.1%
i 3
 
3.0%
s 1
 
1.0%
h 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 691
25.2%
2 425
15.5%
0 402
14.7%
3 284
10.4%
5 249
 
9.1%
7 169
 
6.2%
6 133
 
4.9%
9 131
 
4.8%
4 129
 
4.7%
8 128
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
33.3%
P 9
30.0%
B 2
 
6.7%
S 2
 
6.7%
D 2
 
6.7%
F 1
 
3.3%
K 1
 
3.3%
N 1
 
3.3%
T 1
 
3.3%
Y 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
2585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7995
57.8%
Common 5714
41.3%
Latin 129
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
588
 
7.4%
517
 
6.5%
511
 
6.4%
509
 
6.4%
507
 
6.3%
507
 
6.3%
503
 
6.3%
415
 
5.2%
413
 
5.2%
367
 
4.6%
Other values (194) 3158
39.5%
Latin
ValueCountFrequency (%)
e 30
23.3%
n 13
10.1%
a 11
 
8.5%
r 10
 
7.8%
t 10
 
7.8%
C 10
 
7.8%
c 10
 
7.8%
P 9
 
7.0%
l 9
 
7.0%
i 3
 
2.3%
Other values (11) 14
10.9%
Common
ValueCountFrequency (%)
2585
45.2%
1 691
 
12.1%
2 425
 
7.4%
0 402
 
7.0%
- 363
 
6.4%
3 284
 
5.0%
5 249
 
4.4%
7 169
 
3.0%
6 133
 
2.3%
9 131
 
2.3%
Other values (7) 282
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7995
57.8%
ASCII 5843
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2585
44.2%
1 691
 
11.8%
2 425
 
7.3%
0 402
 
6.9%
- 363
 
6.2%
3 284
 
4.9%
5 249
 
4.3%
7 169
 
2.9%
6 133
 
2.3%
9 131
 
2.2%
Other values (28) 411
 
7.0%
Hangul
ValueCountFrequency (%)
588
 
7.4%
517
 
6.5%
511
 
6.4%
509
 
6.4%
507
 
6.3%
507
 
6.3%
503
 
6.3%
415
 
5.2%
413
 
5.2%
367
 
4.6%
Other values (194) 3158
39.5%

도로명주소
Text

MISSING 

Distinct466
Distinct (%)97.5%
Missing25
Missing (%)5.0%
Memory size4.1 KiB
2024-05-11T14:57:35.012008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length34.186192
Min length22

Characters and Unicode

Total characters16341
Distinct characters254
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)95.0%

Sample

1st row서울특별시 중구 명동길 14 (명동2가)
2nd row서울특별시 중구 다산로 156 (신당동)
3rd row서울특별시 중구 남대문로 117 (다동)
4th row서울특별시 중구 무교로 32, 806호 (무교동,효령빌딩)
5th row서울특별시 중구 삼일대로 363, 1층 1호 (장교동, 장교빌딩)
ValueCountFrequency (%)
서울특별시 478
 
15.8%
중구 477
 
15.8%
서소문로 69
 
2.3%
무교로 57
 
1.9%
다동 37
 
1.2%
15 34
 
1.1%
다동길 34
 
1.1%
퇴계로 32
 
1.1%
서소문동 30
 
1.0%
무교동 26
 
0.9%
Other values (768) 1744
57.8%
2024-05-11T14:57:35.584790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2795
 
17.1%
1 673
 
4.1%
637
 
3.9%
, 554
 
3.4%
548
 
3.4%
493
 
3.0%
489
 
3.0%
488
 
3.0%
487
 
3.0%
( 486
 
3.0%
Other values (244) 8691
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9136
55.9%
Space Separator 2795
 
17.1%
Decimal Number 2733
 
16.7%
Other Punctuation 555
 
3.4%
Open Punctuation 486
 
3.0%
Close Punctuation 486
 
3.0%
Lowercase Letter 72
 
0.4%
Dash Punctuation 51
 
0.3%
Uppercase Letter 26
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
637
 
7.0%
548
 
6.0%
493
 
5.4%
489
 
5.4%
488
 
5.3%
487
 
5.3%
481
 
5.3%
478
 
5.2%
478
 
5.2%
337
 
3.7%
Other values (205) 4220
46.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
29.2%
n 10
13.9%
a 8
 
11.1%
t 7
 
9.7%
r 7
 
9.7%
c 7
 
9.7%
l 6
 
8.3%
i 3
 
4.2%
s 1
 
1.4%
h 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
26.9%
P 6
23.1%
B 2
 
7.7%
S 2
 
7.7%
D 2
 
7.7%
K 2
 
7.7%
F 1
 
3.8%
O 1
 
3.8%
Y 1
 
3.8%
T 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 673
24.6%
0 434
15.9%
2 353
12.9%
3 278
10.2%
5 216
 
7.9%
4 178
 
6.5%
6 172
 
6.3%
8 145
 
5.3%
9 144
 
5.3%
7 140
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 554
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 486
100.0%
Close Punctuation
ValueCountFrequency (%)
) 486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9136
55.9%
Common 7107
43.5%
Latin 98
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
637
 
7.0%
548
 
6.0%
493
 
5.4%
489
 
5.4%
488
 
5.3%
487
 
5.3%
481
 
5.3%
478
 
5.2%
478
 
5.2%
337
 
3.7%
Other values (205) 4220
46.2%
Latin
ValueCountFrequency (%)
e 21
21.4%
n 10
10.2%
a 8
 
8.2%
t 7
 
7.1%
C 7
 
7.1%
r 7
 
7.1%
c 7
 
7.1%
l 6
 
6.1%
P 6
 
6.1%
i 3
 
3.1%
Other values (12) 16
16.3%
Common
ValueCountFrequency (%)
2795
39.3%
1 673
 
9.5%
, 554
 
7.8%
( 486
 
6.8%
) 486
 
6.8%
0 434
 
6.1%
2 353
 
5.0%
3 278
 
3.9%
5 216
 
3.0%
4 178
 
2.5%
Other values (7) 654
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9136
55.9%
ASCII 7205
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2795
38.8%
1 673
 
9.3%
, 554
 
7.7%
( 486
 
6.7%
) 486
 
6.7%
0 434
 
6.0%
2 353
 
4.9%
3 278
 
3.9%
5 216
 
3.0%
4 178
 
2.5%
Other values (29) 752
 
10.4%
Hangul
ValueCountFrequency (%)
637
 
7.0%
548
 
6.0%
493
 
5.4%
489
 
5.4%
488
 
5.3%
487
 
5.3%
481
 
5.3%
478
 
5.2%
478
 
5.2%
337
 
3.7%
Other values (205) 4220
46.2%

도로명우편번호
Text

MISSING 

Distinct73
Distinct (%)37.6%
Missing309
Missing (%)61.4%
Memory size4.1 KiB
2024-05-11T14:57:35.951615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1237113
Min length5

Characters and Unicode

Total characters994
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

Unique42 ?
Unique (%)21.6%

Sample

1st row100-760
2nd row04523
3rd row04527
4th row04631
5th row04538
ValueCountFrequency (%)
04521 21
 
10.8%
04522 21
 
10.8%
04520 14
 
7.2%
04516 13
 
6.7%
04513 12
 
6.2%
04519 6
 
3.1%
04537 5
 
2.6%
04615 4
 
2.1%
04526 4
 
2.1%
04561 3
 
1.5%
Other values (63) 91
46.9%
2024-05-11T14:57:36.630183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 256
25.8%
4 189
19.0%
5 182
18.3%
1 115
11.6%
2 99
 
10.0%
3 50
 
5.0%
6 47
 
4.7%
7 25
 
2.5%
9 16
 
1.6%
8 14
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 993
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 256
25.8%
4 189
19.0%
5 182
18.3%
1 115
11.6%
2 99
 
10.0%
3 50
 
5.0%
6 47
 
4.7%
7 25
 
2.5%
9 16
 
1.6%
8 14
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 994
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 256
25.8%
4 189
19.0%
5 182
18.3%
1 115
11.6%
2 99
 
10.0%
3 50
 
5.0%
6 47
 
4.7%
7 25
 
2.5%
9 16
 
1.6%
8 14
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 256
25.8%
4 189
19.0%
5 182
18.3%
1 115
11.6%
2 99
 
10.0%
3 50
 
5.0%
6 47
 
4.7%
7 25
 
2.5%
9 16
 
1.6%
8 14
 
1.4%
Distinct497
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T14:57:36.991138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.55666
Min length3

Characters and Unicode

Total characters4304
Distinct characters386
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

Unique491 ?
Unique (%)97.6%

Sample

1st row(주)서울태양관광
2nd row(주)코스모스여행사 (국내)
3rd row로마관광여행사
4th row금융여행사 (국내)
5th row(주)청아여행사
ValueCountFrequency (%)
국내 28
 
5.0%
주식회사 22
 
3.9%
주)여행파워 2
 
0.4%
주)동산항공여행사 2
 
0.4%
투어 2
 
0.4%
주)신우리 2
 
0.4%
여행사 2
 
0.4%
주)더존세계여행 2
 
0.4%
주)교원나라여행사 2
 
0.4%
캠핑톡 2
 
0.4%
Other values (499) 499
88.3%
2024-05-11T14:57:37.496864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 435
 
10.1%
( 434
 
10.1%
434
 
10.1%
175
 
4.1%
174
 
4.0%
150
 
3.5%
131
 
3.0%
118
 
2.7%
103
 
2.4%
101
 
2.3%
Other values (376) 2049
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3328
77.3%
Close Punctuation 435
 
10.1%
Open Punctuation 434
 
10.1%
Space Separator 62
 
1.4%
Uppercase Letter 32
 
0.7%
Other Punctuation 7
 
0.2%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
434
 
13.0%
175
 
5.3%
174
 
5.2%
150
 
4.5%
131
 
3.9%
118
 
3.5%
103
 
3.1%
101
 
3.0%
57
 
1.7%
56
 
1.7%
Other values (348) 1829
55.0%
Uppercase Letter
ValueCountFrequency (%)
O 4
12.5%
T 4
12.5%
L 3
9.4%
H 2
 
6.2%
E 2
 
6.2%
N 2
 
6.2%
Y 2
 
6.2%
R 2
 
6.2%
P 2
 
6.2%
C 2
 
6.2%
Other values (7) 7
21.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
t 1
16.7%
d 1
16.7%
r 1
16.7%
u 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 2
28.6%
, 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 434
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3328
77.3%
Common 938
 
21.8%
Latin 38
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
434
 
13.0%
175
 
5.3%
174
 
5.2%
150
 
4.5%
131
 
3.9%
118
 
3.5%
103
 
3.1%
101
 
3.0%
57
 
1.7%
56
 
1.7%
Other values (348) 1829
55.0%
Latin
ValueCountFrequency (%)
O 4
 
10.5%
T 4
 
10.5%
L 3
 
7.9%
H 2
 
5.3%
E 2
 
5.3%
N 2
 
5.3%
Y 2
 
5.3%
R 2
 
5.3%
P 2
 
5.3%
C 2
 
5.3%
Other values (12) 13
34.2%
Common
ValueCountFrequency (%)
) 435
46.4%
( 434
46.3%
62
 
6.6%
. 4
 
0.4%
& 2
 
0.2%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
77.3%
ASCII 976
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 435
44.6%
( 434
44.5%
62
 
6.4%
. 4
 
0.4%
O 4
 
0.4%
T 4
 
0.4%
L 3
 
0.3%
H 2
 
0.2%
E 2
 
0.2%
N 2
 
0.2%
Other values (18) 24
 
2.5%
Hangul
ValueCountFrequency (%)
434
 
13.0%
175
 
5.3%
174
 
5.2%
150
 
4.5%
131
 
3.9%
118
 
3.5%
103
 
3.1%
101
 
3.0%
57
 
1.7%
56
 
1.7%
Other values (348) 1829
55.0%
Distinct461
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2003-02-11 18:21:03
Maximum2024-04-26 15:35:38
2024-05-11T14:57:37.698068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:37.869187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
I
345 
U
158 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 345
68.6%
U 158
31.4%

Length

2024-05-11T14:57:38.040239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:38.173183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 345
68.6%
u 158
31.4%
Distinct118
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:08:00
2024-05-11T14:57:38.344917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:38.548301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)48.6%
Missing17
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean198459.41
Minimum196948.93
Maximum202545.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:38.773557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196948.93
5-th percentile197346.66
Q1197836.4
median198127.73
Q3198740.41
95-th percentile200749.84
Maximum202545.47
Range5596.5406
Interquartile range (IQR)904.00334

Descriptive statistics

Standard deviation1028.065
Coefficient of variation (CV)0.0051802282
Kurtosis1.7769333
Mean198459.41
Median Absolute Deviation (MAD)358.62752
Skewness1.491733
Sum96451273
Variance1056917.7
MonotonicityNot monotonic
2024-05-11T14:57:39.037312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198068.059896866 23
 
4.6%
198137.354306134 19
 
3.8%
198306.905839189 15
 
3.0%
198126.501924718 12
 
2.4%
198193.534402364 9
 
1.8%
198345.02215434 9
 
1.8%
197346.664858178 9
 
1.8%
197579.6119606 9
 
1.8%
197547.543646515 8
 
1.6%
198022.867186292 8
 
1.6%
Other values (226) 365
72.6%
(Missing) 17
 
3.4%
ValueCountFrequency (%)
196948.933328771 3
 
0.6%
197070.624369936 1
 
0.2%
197133.181826761 3
 
0.6%
197134.048708388 1
 
0.2%
197174.591536243 1
 
0.2%
197181.850707674 1
 
0.2%
197190.49516568 1
 
0.2%
197223.229968607 2
 
0.4%
197249.357745588 4
0.8%
197346.664858178 9
1.8%
ValueCountFrequency (%)
202545.473910742 1
0.2%
201947.084297972 1
0.2%
201823.908977364 1
0.2%
201775.682523178 1
0.2%
201726.806519228 1
0.2%
201601.786168123 1
0.2%
201519.03893724 2
0.4%
201442.039019479 1
0.2%
201390.623455546 2
0.4%
201374.79637073 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)48.6%
Missing17
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean451354.34
Minimum446358.23
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:39.220296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446358.23
5-th percentile450603.62
Q1451145.23
median451395.15
Q3451677.07
95-th percentile451812.79
Maximum452076.82
Range5718.5931
Interquartile range (IQR)531.83086

Descriptive statistics

Standard deviation444.81608
Coefficient of variation (CV)0.00098551414
Kurtosis32.291381
Mean451354.34
Median Absolute Deviation (MAD)272.61469
Skewness-3.4604052
Sum2.1935821 × 108
Variance197861.35
MonotonicityNot monotonic
2024-05-11T14:57:39.412715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451666.732613608 23
 
4.6%
451759.123871901 19
 
3.8%
451808.098341971 15
 
3.0%
451827.973207366 12
 
2.4%
451650.955791238 9
 
1.8%
451737.693394501 9
 
1.8%
451164.44975357 9
 
1.8%
451207.320313674 9
 
1.8%
451134.996404518 8
 
1.6%
451667.760091673 8
 
1.6%
Other values (226) 365
72.6%
(Missing) 17
 
3.4%
ValueCountFrequency (%)
446358.22557289 1
0.2%
449638.824308081 1
0.2%
449902.521645762 1
0.2%
450055.576353969 1
0.2%
450194.738675235 1
0.2%
450276.693544934 1
0.2%
450297.447516002 1
0.2%
450309.162582147 1
0.2%
450359.729461238 1
0.2%
450361.506112161 1
0.2%
ValueCountFrequency (%)
452076.818664092 1
 
0.2%
451908.357632586 2
 
0.4%
451847.338754039 1
 
0.2%
451842.045761983 7
1.4%
451827.973207366 12
2.4%
451817.515366883 1
 
0.2%
451814.35044652 1
 
0.2%
451808.098341971 15
3.0%
451800.726494393 5
 
1.0%
451793.472953086 1
 
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
국내여행업
440 
<NA>
63 

Length

Max length5
Median length5
Mean length4.8747515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:39.620532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:39.771801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 440
87.5%
na 63
 
12.5%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
관광사업
308 
<NA>
195 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 308
61.2%
<NA> 195
38.8%

Length

2024-05-11T14:57:39.964787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:40.133907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 308
61.2%
na 195
38.8%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing499
Missing (%)99.2%
Memory size4.1 KiB
2024-05-11T14:57:40.286633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5
Min length4

Characters and Unicode

Total characters18
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row상업지역
2nd row일반상업지역
3rd row상업지역
4th row상업지역
ValueCountFrequency (%)
상업지역 3
75.0%
일반상업지역 1
 
25.0%
2024-05-11T14:57:40.746773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
22.2%
4
22.2%
4
22.2%
4
22.2%
1
 
5.6%
1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
22.2%
4
22.2%
4
22.2%
4
22.2%
1
 
5.6%
1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
22.2%
4
22.2%
4
22.2%
4
22.2%
1
 
5.6%
1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
22.2%
4
22.2%
4
22.2%
4
22.2%
1
 
5.6%
1
 
5.6%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
435 
<NA>
63 
13
 
2
7
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.3797217
Min length1

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 435
86.5%
<NA> 63
 
12.5%
13 2
 
0.4%
7 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%

Length

2024-05-11T14:57:40.948263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:41.147154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 435
86.5%
na 63
 
12.5%
13 2
 
0.4%
7 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing502
Missing (%)99.8%
Memory size4.1 KiB
2024-05-11T14:57:41.296461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T14:57:41.796464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

보험기관명
Categorical

Distinct39
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
239 
여행공제회
67 
서울보증보험
52 
서울보증보험(2천만원)
49 
여행공제회(2천만원)
 
16
Other values (34)
80 

Length

Max length19
Median length18
Mean length6.554672
Min length4

Unique

Unique20 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 239
47.5%
여행공제회 67
 
13.3%
서울보증보험 52
 
10.3%
서울보증보험(2천만원) 49
 
9.7%
여행공제회(2천만원) 16
 
3.2%
서울보증보험(2천만) 14
 
2.8%
한국관광협회 7
 
1.4%
서울보증보험(3천만원) 7
 
1.4%
관광공제회(2천만원) 5
 
1.0%
서울보증보험주식회사 4
 
0.8%
Other values (29) 43
 
8.5%

Length

2024-05-11T14:57:42.135026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 239
47.2%
여행공제회 70
 
13.8%
서울보증보험 52
 
10.3%
서울보증보험(2천만원 49
 
9.7%
여행공제회(2천만원 16
 
3.2%
서울보증보험(2천만 14
 
2.8%
한국관광협회 7
 
1.4%
서울보증보험(3천만원 7
 
1.4%
관광공제회(2천만원 5
 
1.0%
서울보증보험주식회사 4
 
0.8%
Other values (29) 43
 
8.5%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
464 
사무실
 
31
근린생활시설
 
7
유통시설
 
1

Length

Max length6
Median length4
Mean length3.9662028
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 464
92.2%
사무실 31
 
6.2%
근린생활시설 7
 
1.4%
유통시설 1
 
0.2%

Length

2024-05-11T14:57:42.514928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:42.741718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 464
92.2%
사무실 31
 
6.2%
근린생활시설 7
 
1.4%
유통시설 1
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.6%
Missing63
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean0.072727273
Minimum0
Maximum12
Zeros434
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:42.899010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74196183
Coefficient of variation (CV)10.201975
Kurtosis175.60412
Mean0.072727273
Median Absolute Deviation (MAD)0
Skewness12.521799
Sum32
Variance0.55050735
MonotonicityNot monotonic
2024-05-11T14:57:43.506314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 434
86.3%
7 1
 
0.2%
5 1
 
0.2%
12 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%
(Missing) 63
 
12.5%
ValueCountFrequency (%)
0 434
86.3%
1 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
7 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
12 1
 
0.2%
7 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
1 1
 
0.2%
0 434
86.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
439 
<NA>
63 
1
 
1

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 439
87.3%
<NA> 63
 
12.5%
1 1
 
0.2%

Length

2024-05-11T14:57:43.739089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:43.920542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 439
87.3%
na 63
 
12.5%
1 1
 
0.2%

객실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:44.138205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:44.331091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

건축연면적
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:44.519949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:44.686831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

영문상호명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing492
Missing (%)97.8%
Memory size4.1 KiB
2024-05-11T14:57:44.924209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length17.636364
Min length1

Characters and Unicode

Total characters194
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st row4
2nd rowES TOUR Co,. Ltd
3rd row2
4th rowNONI Tour Co., Ltd.
5th rowEversky Co., Ltd.
ValueCountFrequency (%)
co 7
18.4%
ltd 7
18.4%
travel 4
 
10.5%
tour 3
 
7.9%
4 1
 
2.6%
wise 1
 
2.6%
coop 1
 
2.6%
agencies 1
 
2.6%
of 1
 
2.6%
federation 1
 
2.6%
Other values (11) 11
28.9%
2024-05-11T14:57:45.490366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
13.9%
. 14
 
7.2%
o 11
 
5.7%
C 10
 
5.2%
T 10
 
5.2%
L 10
 
5.2%
E 9
 
4.6%
O 8
 
4.1%
, 8
 
4.1%
d 7
 
3.6%
Other values (29) 80
41.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 82
42.3%
Lowercase Letter 61
31.4%
Space Separator 27
 
13.9%
Other Punctuation 22
 
11.3%
Decimal Number 2
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 10
12.2%
T 10
12.2%
L 10
12.2%
E 9
11.0%
O 8
9.8%
R 5
 
6.1%
A 5
 
6.1%
D 4
 
4.9%
N 4
 
4.9%
I 3
 
3.7%
Other values (10) 14
17.1%
Lowercase Letter
ValueCountFrequency (%)
o 11
18.0%
d 7
11.5%
t 7
11.5%
r 7
11.5%
a 5
8.2%
e 5
8.2%
u 3
 
4.9%
v 3
 
4.9%
s 3
 
4.9%
l 3
 
4.9%
Other values (4) 7
11.5%
Other Punctuation
ValueCountFrequency (%)
. 14
63.6%
, 8
36.4%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 143
73.7%
Common 51
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 11
 
7.7%
C 10
 
7.0%
T 10
 
7.0%
L 10
 
7.0%
E 9
 
6.3%
O 8
 
5.6%
d 7
 
4.9%
t 7
 
4.9%
r 7
 
4.9%
R 5
 
3.5%
Other values (24) 59
41.3%
Common
ValueCountFrequency (%)
27
52.9%
. 14
27.5%
, 8
 
15.7%
4 1
 
2.0%
2 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
 
13.9%
. 14
 
7.2%
o 11
 
5.7%
C 10
 
5.2%
T 10
 
5.2%
L 10
 
5.2%
E 9
 
4.6%
O 8
 
4.1%
, 8
 
4.1%
d 7
 
3.6%
Other values (29) 80
41.2%

영문상호주소
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
494 
Domestic travel business
 
4
Domestic Travel Business
 
3
DOMESTIC TRAVEL BUSINESS
 
2

Length

Max length24
Median length4
Mean length4.3578529
Min length4

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> 494
98.2%
Domestic travel business 4
 
0.8%
Domestic Travel Business 3
 
0.6%
DOMESTIC TRAVEL BUSINESS 2
 
0.4%

Length

2024-05-11T14:57:45.818315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:46.052067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 494
94.8%
domestic 9
 
1.7%
travel 9
 
1.7%
business 9
 
1.7%

선박총톤수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:46.256486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:46.435028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

선박척수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:46.629684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:46.795928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:46.963975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:47.140661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

좌석수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:47.428967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:47.603898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:47.790613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:48.087912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)8.6%
Missing63
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean5.2639773
Minimum0
Maximum943.92
Zeros403
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:48.269483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25.0595
Maximum943.92
Range943.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.939464
Coefficient of variation (CV)8.91711
Kurtosis366.64244
Mean5.2639773
Median Absolute Deviation (MAD)0
Skewness18.449129
Sum2316.15
Variance2203.3133
MonotonicityNot monotonic
2024-05-11T14:57:48.509899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 403
80.1%
17.0 1
 
0.2%
13.2 1
 
0.2%
43.74 1
 
0.2%
6.6 1
 
0.2%
11.9 1
 
0.2%
42.78 1
 
0.2%
9.97 1
 
0.2%
46.09 1
 
0.2%
15.0 1
 
0.2%
Other values (28) 28
 
5.6%
(Missing) 63
 
12.5%
ValueCountFrequency (%)
0.0 403
80.1%
1.3 1
 
0.2%
2.64 1
 
0.2%
3.3 1
 
0.2%
6.0 1
 
0.2%
6.6 1
 
0.2%
7.0 1
 
0.2%
9.97 1
 
0.2%
11.9 1
 
0.2%
13.2 1
 
0.2%
ValueCountFrequency (%)
943.92 1
0.2%
165.29 1
0.2%
88.0 1
0.2%
75.9 1
0.2%
68.0 1
0.2%
67.87 1
0.2%
66.0 1
0.2%
65.37 1
0.2%
62.51 1
0.2%
59.5 1
0.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
440 
<NA>
63 

Length

Max length4
Median length1
Mean length1.3757455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 440
87.5%
<NA> 63
 
12.5%

Length

2024-05-11T14:57:48.726777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:48.923212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
87.5%
na 63
 
12.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
501 
20131119
 
1
20140807
 
1

Length

Max length8
Median length4
Mean length4.0159046
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 501
99.6%
20131119 1
 
0.2%
20140807 1
 
0.2%

Length

2024-05-11T14:57:49.137863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:49.320986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 501
99.6%
20131119 1
 
0.2%
20140807 1
 
0.2%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
501 
20141118
 
1
20150806
 
1

Length

Max length8
Median length4
Mean length4.0159046
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 501
99.6%
20141118 1
 
0.2%
20150806 1
 
0.2%

Length

2024-05-11T14:57:49.511181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:49.794052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 501
99.6%
20141118 1
 
0.2%
20150806 1
 
0.2%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct53
Distinct (%)12.0%
Missing63
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean76188222
Minimum0
Maximum1.92385 × 109
Zeros160
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:50.013288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q31.5 × 108
95-th percentile1.5 × 108
Maximum1.92385 × 109
Range1.92385 × 109
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation1.4170759 × 108
Coefficient of variation (CV)1.8599671
Kurtosis92.053074
Mean76188222
Median Absolute Deviation (MAD)50000000
Skewness8.2242728
Sum3.3522818 × 1010
Variance2.008104 × 1016
MonotonicityNot monotonic
2024-05-11T14:57:50.289568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
31.8%
150000000 96
19.1%
50000000 57
 
11.3%
100000000 27
 
5.4%
30000000 24
 
4.8%
90000000 11
 
2.2%
200000000 10
 
2.0%
15000000 7
 
1.4%
60000000 3
 
0.6%
500000000 2
 
0.4%
Other values (43) 43
 
8.5%
(Missing) 63
 
12.5%
ValueCountFrequency (%)
0 160
31.8%
5000000 1
 
0.2%
15000000 7
 
1.4%
16000000 1
 
0.2%
19766953 1
 
0.2%
22000000 1
 
0.2%
23774803 1
 
0.2%
30000000 24
 
4.8%
30013361 1
 
0.2%
36216961 1
 
0.2%
ValueCountFrequency (%)
1923850000 1
 
0.2%
1500000000 1
 
0.2%
1000000000 1
 
0.2%
500000000 2
 
0.4%
430000000 1
 
0.2%
390000000 1
 
0.2%
350000000 1
 
0.2%
300000000 1
 
0.2%
232979686 1
 
0.2%
200000000 10
2.0%

보험시작일자
Real number (ℝ)

MISSING 

Distinct257
Distinct (%)95.2%
Missing233
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean20131968
Minimum20030326
Maximum20210904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:50.623091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030326
5-th percentile20045168
Q120080796
median20140156
Q320187871
95-th percentile20210602
Maximum20210904
Range180578
Interquartile range (IQR)107075.75

Descriptive statistics

Standard deviation55107.376
Coefficient of variation (CV)0.002737307
Kurtosis-1.2805111
Mean20131968
Median Absolute Deviation (MAD)50247
Skewness-0.061207413
Sum5.4356313 × 109
Variance3.0368229 × 109
MonotonicityNot monotonic
2024-05-11T14:57:50.933887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090904 2
 
0.4%
20210601 2
 
0.4%
20210706 2
 
0.4%
20190823 2
 
0.4%
20150407 2
 
0.4%
20150310 2
 
0.4%
20140701 2
 
0.4%
20090728 2
 
0.4%
20100210 2
 
0.4%
20050531 2
 
0.4%
Other values (247) 250
49.7%
(Missing) 233
46.3%
ValueCountFrequency (%)
20030326 1
0.2%
20031007 1
0.2%
20031009 1
0.2%
20040130 1
0.2%
20040407 1
0.2%
20040424 1
0.2%
20040430 1
0.2%
20040712 1
0.2%
20040802 1
0.2%
20040824 1
0.2%
ValueCountFrequency (%)
20210904 1
0.2%
20210826 1
0.2%
20210813 1
0.2%
20210728 1
0.2%
20210716 1
0.2%
20210706 2
0.4%
20210628 1
0.2%
20210627 1
0.2%
20210626 1
0.2%
20210624 1
0.2%

보험종료일자
Real number (ℝ)

MISSING 

Distinct258
Distinct (%)95.9%
Missing234
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean20142605
Minimum20040326
Maximum20220903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:51.208531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040326
5-th percentile20060111
Q120091007
median20150211
Q320200314
95-th percentile20220573
Maximum20220903
Range180577
Interquartile range (IQR)109307

Descriptive statistics

Standard deviation55048.376
Coefficient of variation (CV)0.0027329323
Kurtosis-1.2928009
Mean20142605
Median Absolute Deviation (MAD)50197
Skewness-0.059157877
Sum5.4183607 × 109
Variance3.0303237 × 109
MonotonicityNot monotonic
2024-05-11T14:57:51.467836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060531 2
 
0.4%
20220627 2
 
0.4%
20220326 2
 
0.4%
20220531 2
 
0.4%
20100904 2
 
0.4%
20120719 2
 
0.4%
20200822 2
 
0.4%
20120211 2
 
0.4%
20100727 2
 
0.4%
20160406 2
 
0.4%
Other values (248) 249
49.5%
(Missing) 234
46.5%
ValueCountFrequency (%)
20040326 1
0.2%
20041007 1
0.2%
20050130 1
0.2%
20050406 1
0.2%
20050424 1
0.2%
20050430 1
0.2%
20050711 1
0.2%
20050802 1
0.2%
20050824 1
0.2%
20050901 1
0.2%
ValueCountFrequency (%)
20220903 1
0.2%
20220825 1
0.2%
20220812 1
0.2%
20220727 1
0.2%
20220716 1
0.2%
20220705 2
0.4%
20220627 2
0.4%
20220625 1
0.2%
20220624 1
0.2%
20220607 1
0.2%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing503
Missing (%)100.0%
Memory size4.5 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)7.5%
Missing63
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean5.2659091
Minimum0
Maximum944
Zeros403
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T14:57:51.659482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25.25
Maximum944
Range944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.942506
Coefficient of variation (CV)8.9144163
Kurtosis366.66743
Mean5.2659091
Median Absolute Deviation (MAD)0
Skewness18.449732
Sum2317
Variance2203.5988
MonotonicityNot monotonic
2024-05-11T14:57:51.850619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 403
80.1%
17 2
 
0.4%
46 2
 
0.4%
7 2
 
0.4%
3 2
 
0.4%
68 2
 
0.4%
44 1
 
0.2%
12 1
 
0.2%
43 1
 
0.2%
10 1
 
0.2%
Other values (23) 23
 
4.6%
(Missing) 63
 
12.5%
ValueCountFrequency (%)
0 403
80.1%
1 1
 
0.2%
3 2
 
0.4%
6 1
 
0.2%
7 2
 
0.4%
10 1
 
0.2%
12 1
 
0.2%
13 1
 
0.2%
15 1
 
0.2%
17 2
 
0.4%
ValueCountFrequency (%)
944 1
0.2%
165 1
0.2%
88 1
0.2%
76 1
0.2%
68 2
0.4%
66 1
0.2%
65 1
0.2%
63 1
0.2%
60 1
0.2%
47 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03010000CDFI226001198500000119850703<NA>3폐업3폐업19980711<NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 60-14번지<NA><NA>(주)서울태양관광2003-02-11 18:49:28I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
13010000CDFI226001198500000219850712<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>757-5121<NA>100810서울특별시 중구 명동2가 83-5번지서울특별시 중구 명동길 14 (명동2가)<NA>(주)코스모스여행사 (국내)2004-06-01 13:40:34I2018-08-31 23:59:59.0<NA>198418.741656451237.168596국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>0
23010000CDFI226001198900000119890116<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>100826서울특별시 중구 신당동 340-77번지서울특별시 중구 다산로 156 (신당동)<NA>로마관광여행사2008-11-10 15:22:40I2018-08-31 23:59:59.0<NA>201032.743203450590.363474국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
33010000CDFI226001198900000219890216<NA>3폐업3폐업19990713<NA><NA><NA><NA><NA>100180서울특별시 중구 다동 88-0번지서울특별시 중구 남대문로 117 (다동)<NA>금융여행사 (국내)2003-03-25 09:43:30I2018-08-31 23:59:59.0<NA>198367.639005451720.217971국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
43010000CDFI226001198900000319890508<NA>3폐업3폐업19960531<NA><NA><NA><NA><NA>100170서울특별시 중구 무교동 1번지 효령빌딩 806호서울특별시 중구 무교로 32, 806호 (무교동,효령빌딩)<NA>(주)청아여행사2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>198126.501925451827.973207국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
53010000CDFI22600119890000051989-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA>779-5000<NA>100-760서울특별시 중구 장교동 1 장교빌딩1층 1호서울특별시 중구 삼일대로 363, 1층 1호 (장교동, 장교빌딩)100-760(주)광도관광여행사2023-08-30 15:45:38U2022-12-09 00:01:00.0<NA>198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000CDFI226001198900000619890805<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>100866서울특별시 중구 필동1가 43-1번지서울특별시 중구 퇴계로 189 (필동1가)<NA>한라관광2003-02-11 18:49:28I2018-08-31 23:59:59.0<NA>199297.87659451025.516575국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
73010000CDFI226001199000000119901031<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>318-0056<NA>100864서울특별시 중구 태평로2가 69-5번지서울특별시 중구 세종대로 74 (태평로2가)<NA>(주)오륙관광여행사 (국내)2005-10-25 15:00:48I2018-08-31 23:59:59.0<NA>197884.488522451155.804669국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA>0
83010000CDFI226001199000000219901122<NA>3폐업3폐업19990615<NA><NA><NA><NA><NA>100804서울특별시 중구 남창동 1-2번지 새로나1층서울특별시 중구 남대문로 30 (남창동,새로나1층)<NA>(주)동신항공여행사 (국내)2003-03-25 09:49:44I2018-08-31 23:59:59.0<NA>198079.694295450952.174489국내여행업관광사업<NA>0<NA><NA><NA>근린생활시설0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
93010000CDFI226001199100000119910207<NA>3폐업3폐업19980723<NA><NA><NA><NA><NA>100120서울특별시 중구 정동 23-8번지서울특별시 중구 정동길 2-1 (정동)<NA>(주)서울세기관광2003-02-11 18:49:28I2018-08-31 23:59:59.0<NA>197223.229969451744.20001국내여행업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
4933010000CDFI22600120210000212021-09-30<NA>5제외/삭제/전출15전출2024-01-23<NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터 712호서울특별시 중구 청계천로 40, 한국관광공사 서울센터 712호 (다동)04521(주)프랜딧2024-01-23 09:44:01U2023-11-30 22:05:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4943010000CDFI226001202200000120210430<NA>3폐업3폐업20220504<NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로2가 198 을지 한국빌딩 20층 2013-05호서울특별시 중구 을지로 50, 을지 한국빌딩 20층 2013-05호 (을지로2가)04534로컬콘텐츠랩2022-05-04 17:00:10U2021-12-05 00:07:00.0<NA>198459.656305451484.997004<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4953010000CDFI226001202200000220211224<NA>3폐업3폐업20220901<NA><NA><NA>0264100116<NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터 814호서울특별시 중구 청계천로 40, 한국관광공사 서울센터 814호 (다동)04521주식회사 두러더2022-09-07 16:46:34U2021-12-09 00:09:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4963010000CDFI22600120220000032013-07-12<NA>5제외/삭제/전출15전출2023-03-16<NA><NA><NA>07080641344<NA><NA>서울특별시 중구 초동 158-5 진영빌딩 5층서울특별시 중구 퇴계로27길 50, 진영빌딩 5층 (초동)04555(주)나라안여행2023-03-16 17:12:34U2022-12-02 23:08:00.0<NA>199166.232435451237.737732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4973010000CDFI22600120220000042018-07-30<NA>5제외/삭제/전출15전출2024-01-23<NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터 12층 1207호서울특별시 중구 청계천로 40, 한국관광공사 서울센터 12층 1207호 (다동)04521(주)필더필2024-01-23 09:44:45U2023-11-30 22:05:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4983010000CDFI22600120220000052022-02-15<NA>5제외/삭제/전출15전출2024-04-22<NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 821호 (다동)04521(주)와이리2024-04-22 14:51:09U2023-12-03 22:04:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4993010000CDFI22600120230000012023-02-08<NA>3폐업3폐업2023-06-28<NA><NA><NA>02-2272-6880<NA><NA>서울특별시 중구 광희동1가 187-9서울특별시 중구 을지로44길 21, 501호 (광희동1가)04561서울여행사2023-07-05 11:30:55U2022-12-07 00:07:00.0<NA>200512.00528451422.357337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5003010000CDFI22600120230000022023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>07080984033<NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 7층 8-에이호 (다동)04521주식회사 올어바웃2023-05-31 13:16:22U2022-12-06 00:02:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5013010000CDFI22600120230000032023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2038-3701<NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 1010호 (다동)04521주식회사 반려생활2024-01-22 15:07:04U2023-11-30 22:04:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5023010000CDFI22600120240000012018-06-14<NA>4취소/말소/만료/정지/중지35직권말소2024-04-22<NA><NA><NA>07043361824<NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 902호 (다동)04521캠핑톡 주식회사2024-04-22 10:48:32I2023-12-03 22:04:00.0<NA>198306.905839451808.098342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>