Overview

Dataset statistics

Number of variables63
Number of observations809
Missing cells19273
Missing cells (%)37.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory426.7 KiB
Average record size in memory540.2 B

Variable types

Numeric12
Categorical39
Unsupported12

Dataset

Description23년06월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098698&dataSetDetailId=DDI_0000098767&provdMethod=FILE

Alerts

개방서비스명 has constant value "국내외여행업"Constant
개방서비스아이디 has constant value "03_12_02_P"Constant
문화체육업종명 has constant value "국내외여행업"Constant
문화사업자구분명 has constant value "관광사업"Constant
관리번호 has a high cardinality: 413 distinct valuesHigh cardinality
인허가일자 has a high cardinality: 731 distinct valuesHigh cardinality
폐업일자 has a high cardinality: 278 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 556 distinct valuesHigh cardinality
소재지우편번호 has a high cardinality: 184 distinct valuesHigh cardinality
소재지전체주소 has a high cardinality: 720 distinct valuesHigh cardinality
도로명전체주소 has a high cardinality: 719 distinct valuesHigh cardinality
도로명우편번호 has a high cardinality: 346 distinct valuesHigh cardinality
사업장명 has a high cardinality: 797 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 809 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 268 distinct valuesHigh cardinality
보험기관명 has a high cardinality: 247 distinct valuesHigh cardinality
영문상호명 has a high cardinality: 345 distinct valuesHigh cardinality
건물용도명 is highly imbalanced (51.8%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 759 (93.8%) missing valuesMissing
폐업일자 has 515 (63.7%) missing valuesMissing
휴업시작일자 has 800 (98.9%) missing valuesMissing
휴업종료일자 has 800 (98.9%) missing valuesMissing
재개업일자 has 809 (100.0%) missing valuesMissing
소재지전화 has 242 (29.9%) missing valuesMissing
소재지면적 has 809 (100.0%) missing valuesMissing
소재지우편번호 has 420 (51.9%) missing valuesMissing
도로명전체주소 has 19 (2.3%) missing valuesMissing
도로명우편번호 has 173 (21.4%) missing valuesMissing
업태구분명 has 809 (100.0%) missing valuesMissing
좌표정보(X) has 11 (1.4%) missing valuesMissing
좌표정보(Y) has 11 (1.4%) missing valuesMissing
문화사업자구분명 has 445 (55.0%) missing valuesMissing
지역구분명 has 754 (93.2%) missing valuesMissing
총층수 has 399 (49.3%) missing valuesMissing
주변환경명 has 784 (96.9%) missing valuesMissing
제작취급품목내용 has 809 (100.0%) missing valuesMissing
보험기관명 has 204 (25.2%) missing valuesMissing
건물용도명 has 742 (91.7%) missing valuesMissing
지상층수 has 388 (48.0%) missing valuesMissing
영문상호명 has 464 (57.4%) missing valuesMissing
영문상호주소 has 467 (57.7%) missing valuesMissing
선박제원 has 809 (100.0%) missing valuesMissing
기념품종류 has 809 (100.0%) missing valuesMissing
시설면적 has 392 (48.5%) missing valuesMissing
놀이기구수내역 has 809 (100.0%) missing valuesMissing
방송시설유무 has 809 (100.0%) missing valuesMissing
발전시설유무 has 809 (100.0%) missing valuesMissing
의무실유무 has 809 (100.0%) missing valuesMissing
안내소유무 has 809 (100.0%) missing valuesMissing
자본금 has 130 (16.1%) missing valuesMissing
보험시작일자 has 127 (15.7%) missing valuesMissing
보험종료일자 has 127 (15.7%) missing valuesMissing
부대시설내역 has 809 (100.0%) missing valuesMissing
시설규모 has 392 (48.5%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 349 (43.1%) zerosZeros
지상층수 has 349 (43.1%) zerosZeros
시설면적 has 333 (41.2%) zerosZeros
자본금 has 109 (13.5%) zerosZeros
시설규모 has 333 (41.2%) zerosZeros

Reproduction

Analysis started2023-07-15 13:22:02.964301
Analysis finished2023-07-15 13:22:04.728255
Duration1.76 second
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct809
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405
Minimum1
Maximum809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:05.038080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.4
Q1203
median405
Q3607
95-th percentile768.6
Maximum809
Range808
Interquartile range (IQR)404

Descriptive statistics

Standard deviation233.68248
Coefficient of variation (CV)0.57699377
Kurtosis-1.2
Mean405
Median Absolute Deviation (MAD)202
Skewness0
Sum327645
Variance54607.5
MonotonicityStrictly increasing
2023-07-15T22:22:05.336404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
11 1
 
0.1%
25 1
 
0.1%
24 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
Other values (799) 799
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
809 1
0.1%
808 1
0.1%
807 1
0.1%
806 1
0.1%
805 1
0.1%
804 1
0.1%
803 1
0.1%
802 1
0.1%
801 1
0.1%
800 1
0.1%

개방서비스명
Categorical

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
국내외여행업
809 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 809
100.0%

Length

2023-07-15T22:22:05.599664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:05.821716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 809
100.0%

개방서비스아이디
Categorical

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
03_12_02_P
809 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_12_02_P
2nd row03_12_02_P
3rd row03_12_02_P
4th row03_12_02_P
5th row03_12_02_P

Common Values

ValueCountFrequency (%)
03_12_02_P 809
100.0%

Length

2023-07-15T22:22:05.996740image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:06.199493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 809
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432348.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:06.353538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation24462.987
Coefficient of variation (CV)0.0071271862
Kurtosis-1.4251904
Mean3432348.6
Median Absolute Deviation (MAD)10000
Skewness0.48820923
Sum2.77677 × 109
Variance5.9843775 × 108
MonotonicityIncreasing
2023-07-15T22:22:06.538819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 364
45.0%
3470000 107
 
13.2%
3460000 99
 
12.2%
3420000 78
 
9.6%
3450000 76
 
9.4%
3440000 39
 
4.8%
3430000 30
 
3.7%
3480000 16
 
2.0%
ValueCountFrequency (%)
3410000 364
45.0%
3420000 78
 
9.6%
3430000 30
 
3.7%
3440000 39
 
4.8%
3450000 76
 
9.4%
3460000 99
 
12.2%
3470000 107
 
13.2%
3480000 16
 
2.0%
ValueCountFrequency (%)
3480000 16
 
2.0%
3470000 107
 
13.2%
3460000 99
 
12.2%
3450000 76
 
9.4%
3440000 39
 
4.8%
3430000 30
 
3.7%
3420000 78
 
9.6%
3410000 364
45.0%

관리번호
Categorical

Distinct413
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
CDFI2260022023000003
 
8
CDFI2260022023000002
 
7
CDFI2260022023000004
 
7
CDFI2260022015000001
 
7
CDFI2260022022000001
 
7
Other values (408)
773 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique254 ?
Unique (%)31.4%

Sample

1st rowCDFI2260022015000014
2nd rowCDFI2260022015000015
3rd rowCDFI2260022013000011
4th rowCDFI2260021993000002
5th rowCDFI2260022014000016

Common Values

ValueCountFrequency (%)
CDFI2260022023000003 8
 
1.0%
CDFI2260022023000002 7
 
0.9%
CDFI2260022023000004 7
 
0.9%
CDFI2260022015000001 7
 
0.9%
CDFI2260022022000001 7
 
0.9%
CDFI2260022023000001 7
 
0.9%
CDFI2260022018000003 6
 
0.7%
CDFI2260022021000002 6
 
0.7%
CDFI2260022016000002 6
 
0.7%
CDFI2260022017000001 6
 
0.7%
Other values (403) 742
91.7%

Length

2023-07-15T22:22:06.732076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi2260022023000003 8
 
1.0%
cdfi2260022023000004 7
 
0.9%
cdfi2260022015000001 7
 
0.9%
cdfi2260022022000001 7
 
0.9%
cdfi2260022023000001 7
 
0.9%
cdfi2260022023000002 7
 
0.9%
cdfi2260022018000002 6
 
0.7%
cdfi2260022007000001 6
 
0.7%
cdfi2260022018000001 6
 
0.7%
cdfi2260022010000001 6
 
0.7%
Other values (403) 742
91.7%

인허가일자
Categorical

Distinct731
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2003-03-10
 
10
2005-05-03
 
4
2018-05-10
 
3
2013-04-18
 
3
2015-06-11
 
3
Other values (726)
786 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique671 ?
Unique (%)82.9%

Sample

1st row2015-08-27
2nd row2015-09-02
3rd row2013-07-30
4th row1993-12-06
5th row2014-08-22

Common Values

ValueCountFrequency (%)
2003-03-10 10
 
1.2%
2005-05-03 4
 
0.5%
2018-05-10 3
 
0.4%
2013-04-18 3
 
0.4%
2015-06-11 3
 
0.4%
2006-11-27 3
 
0.4%
2023-05-15 3
 
0.4%
2012-03-06 3
 
0.4%
2018-07-03 3
 
0.4%
2015-09-25 3
 
0.4%
Other values (721) 771
95.3%

Length

2023-07-15T22:22:06.915720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-03-10 10
 
1.2%
2005-05-03 4
 
0.5%
2018-05-10 3
 
0.4%
2015-06-11 3
 
0.4%
2006-11-27 3
 
0.4%
2023-05-15 3
 
0.4%
2012-03-06 3
 
0.4%
2018-07-03 3
 
0.4%
2015-09-25 3
 
0.4%
2013-04-18 3
 
0.4%
Other values (721) 771
95.3%

인허가취소일자
Categorical

Distinct33
Distinct (%)66.0%
Missing759
Missing (%)93.8%
Memory size6.4 KiB
2019-12-03
7 
2019-11-20
 
3
2011-12-08
 
3
2018-10-04
 
3
2012-02-01
 
2
Other values (28)
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique24 ?
Unique (%)48.0%

Sample

1st row2019-02-11
2nd row2018-10-04
3rd row2018-10-04
4th row2012-08-24
5th row2019-02-11

Common Values

ValueCountFrequency (%)
2019-12-03 7
 
0.9%
2019-11-20 3
 
0.4%
2011-12-08 3
 
0.4%
2018-10-04 3
 
0.4%
2012-02-01 2
 
0.2%
2015-12-11 2
 
0.2%
2019-02-11 2
 
0.2%
2020-12-24 2
 
0.2%
2015-09-25 2
 
0.2%
2015-07-31 1
 
0.1%
Other values (23) 23
 
2.8%
(Missing) 759
93.8%

Length

2023-07-15T22:22:07.106119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-03 7
 
14.0%
2011-12-08 3
 
6.0%
2018-10-04 3
 
6.0%
2019-11-20 3
 
6.0%
2012-02-01 2
 
4.0%
2015-12-11 2
 
4.0%
2019-02-11 2
 
4.0%
2020-12-24 2
 
4.0%
2015-09-25 2
 
4.0%
2013-07-22 1
 
2.0%
Other values (23) 23
46.0%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
1
427 
3
295 
4
78 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 427
52.8%
3 295
36.5%
4 78
 
9.6%
2 9
 
1.1%

Length

2023-07-15T22:22:07.255188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:07.425397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 427
52.8%
3 295
36.5%
4 78
 
9.6%
2 9
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
영업/정상
427 
폐업
295 
취소/말소/만료/정지/중지
78 
휴업
 
9

Length

Max length14
Median length5
Mean length4.7404203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 427
52.8%
폐업 295
36.5%
취소/말소/만료/정지/중지 78
 
9.6%
휴업 9
 
1.1%

Length

2023-07-15T22:22:07.598151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:07.809715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 427
52.8%
폐업 295
36.5%
취소/말소/만료/정지/중지 78
 
9.6%
휴업 9
 
1.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.034611
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:07.960296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.1137512
Coefficient of variation (CV)0.73530018
Kurtosis1.0406051
Mean11.034611
Median Absolute Deviation (MAD)0
Skewness1.1216989
Sum8927
Variance65.832959
MonotonicityNot monotonic
2023-07-15T22:22:08.073852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 427
52.8%
3 293
36.2%
31 66
 
8.2%
30 11
 
1.4%
2 9
 
1.1%
34 2
 
0.2%
35 1
 
0.1%
ValueCountFrequency (%)
2 9
 
1.1%
3 293
36.2%
13 427
52.8%
30 11
 
1.4%
31 66
 
8.2%
34 2
 
0.2%
35 1
 
0.1%
ValueCountFrequency (%)
35 1
 
0.1%
34 2
 
0.2%
31 66
 
8.2%
30 11
 
1.4%
13 427
52.8%
3 293
36.2%
2 9
 
1.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
영업중
427 
폐업
293 
등록취소
66 
허가취소
 
11
휴업
 
9
Other values (2)
 
3

Length

Max length5
Median length3
Mean length2.7280593
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 427
52.8%
폐업 293
36.2%
등록취소 66
 
8.2%
허가취소 11
 
1.4%
휴업 9
 
1.1%
영업장폐쇄 2
 
0.2%
직권말소 1
 
0.1%

Length

2023-07-15T22:22:08.204469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:08.393125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업중 427
52.8%
폐업 293
36.2%
등록취소 66
 
8.2%
허가취소 11
 
1.4%
휴업 9
 
1.1%
영업장폐쇄 2
 
0.2%
직권말소 1
 
0.1%

폐업일자
Categorical

HIGH CARDINALITY  MISSING 

Distinct278
Distinct (%)94.6%
Missing515
Missing (%)63.7%
Memory size6.4 KiB
2016-12-15
 
2
2011-08-29
 
2
2011-02-01
 
2
2017-08-25
 
2
2010-04-07
 
2
Other values (273)
284 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique262 ?
Unique (%)89.1%

Sample

1st row2009-08-04
2nd row2015-07-08
3rd row2007-01-17
4th row2005-11-29
5th row2011-02-22

Common Values

ValueCountFrequency (%)
2016-12-15 2
 
0.2%
2011-08-29 2
 
0.2%
2011-02-01 2
 
0.2%
2017-08-25 2
 
0.2%
2010-04-07 2
 
0.2%
2009-08-04 2
 
0.2%
2022-12-20 2
 
0.2%
2016-08-04 2
 
0.2%
2020-11-02 2
 
0.2%
2010-08-26 2
 
0.2%
Other values (268) 274
33.9%
(Missing) 515
63.7%

Length

2023-07-15T22:22:08.564965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016-12-15 2
 
0.7%
2010-08-26 2
 
0.7%
2011-08-29 2
 
0.7%
2019-01-31 2
 
0.7%
2009-06-02 2
 
0.7%
2012-12-03 2
 
0.7%
2003-02-12 2
 
0.7%
2016-06-17 2
 
0.7%
2008-03-14 2
 
0.7%
2020-11-02 2
 
0.7%
Other values (268) 274
93.2%

휴업시작일자
Categorical

Distinct9
Distinct (%)100.0%
Missing800
Missing (%)98.9%
Memory size6.4 KiB
2015-04-30
1 
2016-03-25
1 
2023-05-01
1 
2023-03-02
1 
2023-02-16
1 
Other values (4)
4 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row2015-04-30
2nd row2016-03-25
3rd row2023-05-01
4th row2023-03-02
5th row2023-02-16

Common Values

ValueCountFrequency (%)
2015-04-30 1
 
0.1%
2016-03-25 1
 
0.1%
2023-05-01 1
 
0.1%
2023-03-02 1
 
0.1%
2023-02-16 1
 
0.1%
2007-02-10 1
 
0.1%
2003-08-14 1
 
0.1%
2002-09-13 1
 
0.1%
2023-03-09 1
 
0.1%
(Missing) 800
98.9%

Length

2023-07-15T22:22:08.713368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:08.925643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2015-04-30 1
11.1%
2016-03-25 1
11.1%
2023-05-01 1
11.1%
2023-03-02 1
11.1%
2023-02-16 1
11.1%
2007-02-10 1
11.1%
2003-08-14 1
11.1%
2002-09-13 1
11.1%
2023-03-09 1
11.1%

휴업종료일자
Categorical

Distinct9
Distinct (%)100.0%
Missing800
Missing (%)98.9%
Memory size6.4 KiB
2015-10-31
1 
2016-09-25
1 
2023-10-31
1 
2025-03-01
1 
2023-09-15
1 
Other values (4)
4 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row2015-10-31
2nd row2016-09-25
3rd row2023-10-31
4th row2025-03-01
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2015-10-31 1
 
0.1%
2016-09-25 1
 
0.1%
2023-10-31 1
 
0.1%
2025-03-01 1
 
0.1%
2023-09-15 1
 
0.1%
2007-12-31 1
 
0.1%
2004-08-13 1
 
0.1%
2004-09-13 1
 
0.1%
2024-03-08 1
 
0.1%
(Missing) 800
98.9%

Length

2023-07-15T22:22:09.111056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:09.460501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2015-10-31 1
11.1%
2016-09-25 1
11.1%
2023-10-31 1
11.1%
2025-03-01 1
11.1%
2023-09-15 1
11.1%
2007-12-31 1
11.1%
2004-08-13 1
11.1%
2004-09-13 1
11.1%
2024-03-08 1
11.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct556
Distinct (%)98.1%
Missing242
Missing (%)29.9%
Memory size6.4 KiB
053-741-9090
 
2
053-421-1323
 
2
053-254-6885
 
2
053-964-9911
 
2
053-422-9925
 
2
Other values (551)
557 

Length

Max length17
Median length12
Mean length10.971781
Min length7

Unique

Unique545 ?
Unique (%)96.1%

Sample

1st row053-261-0055
2nd row053-421-7470
3rd row424-2525
4th row053-252-5454
5th row053-254-6885

Common Values

ValueCountFrequency (%)
053-741-9090 2
 
0.2%
053-421-1323 2
 
0.2%
053-254-6885 2
 
0.2%
053-964-9911 2
 
0.2%
053-422-9925 2
 
0.2%
053-215-1515 2
 
0.2%
053-421-5581 2
 
0.2%
053-428-5350 2
 
0.2%
053-639-7878 2
 
0.2%
1600-3031 2
 
0.2%
Other values (546) 547
67.6%
(Missing) 242
29.9%

Length

2023-07-15T22:22:10.114169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053 15
 
2.5%
053-741-9090 2
 
0.3%
053-428-5350 2
 
0.3%
053-965-2884 2
 
0.3%
1600-3031 2
 
0.3%
053-639-7878 2
 
0.3%
053-421-1323 2
 
0.3%
053-421-5581 2
 
0.3%
053-422-9925 2
 
0.3%
053-964-9911 2
 
0.3%
Other values (560) 562
94.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

소재지우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct184
Distinct (%)47.3%
Missing420
Missing (%)51.9%
Memory size6.4 KiB
700-421
29 
700-422
 
26
700-412
 
23
700-150
 
18
700-180
 
11
Other values (179)
282 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique118 ?
Unique (%)30.3%

Sample

1st row700-431
2nd row700-310
3rd row700-411
4th row700-150
5th row700-422

Common Values

ValueCountFrequency (%)
700-421 29
 
3.6%
700-422 26
 
3.2%
700-412 23
 
2.8%
700-150 18
 
2.2%
700-180 11
 
1.4%
700-809 7
 
0.9%
700-160 7
 
0.9%
700-200 5
 
0.6%
700-082 5
 
0.6%
700-811 5
 
0.6%
Other values (174) 253
31.3%
(Missing) 420
51.9%

Length

2023-07-15T22:22:10.488608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
700-421 29
 
7.5%
700-422 26
 
6.7%
700-412 23
 
5.9%
700-150 18
 
4.6%
700-180 11
 
2.8%
700-809 7
 
1.8%
700-160 7
 
1.8%
700-811 5
 
1.3%
700-220 5
 
1.3%
700-082 5
 
1.3%
Other values (174) 253
65.0%

소재지전체주소
Categorical

Distinct720
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
대구광역시 중구 동인동1가 238-1
 
9
대구광역시 중구 공평동 81-15 우원빌딩, 2층
 
5
대구광역시 중구 동인동1가 238-1번지
 
4
대구광역시 달서구 두류동 588 대구관광정보센터
 
4
대구광역시 중구 태평로1가 1-187번지
 
3
Other values (715)
784 

Length

Max length48
Median length41
Mean length23.516687
Min length13

Unique

Unique656 ?
Unique (%)81.1%

Sample

1st row대구광역시 중구 동인동2가 19번지 태명빌딩 4층
2nd row대구광역시 중구 삼덕동2가 210-1번지 진석타워즈 1207호
3rd row대구광역시 중구 대봉동 20-50번지 대봉빌딩 6층
4th row대구광역시 중구 동산동 788-5번지 407호
5th row대구광역시 중구 삼덕동1가 61-1번지 3층

Common Values

ValueCountFrequency (%)
대구광역시 중구 동인동1가 238-1 9
 
1.1%
대구광역시 중구 공평동 81-15 우원빌딩, 2층 5
 
0.6%
대구광역시 중구 동인동1가 238-1번지 4
 
0.5%
대구광역시 달서구 두류동 588 대구관광정보센터 4
 
0.5%
대구광역시 중구 태평로1가 1-187번지 3
 
0.4%
대구광역시 중구 동인동4가 439-1 3
 
0.4%
대구광역시 중구 남산동 2106-8 3
 
0.4%
대구광역시 중구 공평동 10-5 3
 
0.4%
대구광역시 중구 동인동1가 285-2 3
 
0.4%
대구광역시 중구 공평동 100-3번지 3
 
0.4%
Other values (710) 769
95.1%

Length

2023-07-15T22:22:10.883637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 808
 
21.6%
중구 364
 
9.7%
달서구 106
 
2.8%
수성구 98
 
2.6%
동구 79
 
2.1%
북구 75
 
2.0%
동인동2가 58
 
1.5%
동인동1가 53
 
1.4%
2층 41
 
1.1%
남구 40
 
1.1%
Other values (1049) 2024
54.0%

도로명전체주소
Categorical

HIGH CARDINALITY  MISSING 

Distinct719
Distinct (%)91.0%
Missing19
Missing (%)2.3%
Memory size6.4 KiB
대구광역시 중구 공평로 59, 우원빌딩 2층 (공평동)
 
5
대구광역시 달서구 공원순환로 46, 대구관광정보센터 (두류동)
 
4
대구광역시 중구 경상감영길 275 (동인동1가)
 
4
대구광역시 중구 명덕로 207, 2층 (남산동)
 
3
대구광역시 중구 국채보상로 738-1 (동인동4가)
 
3
Other values (714)
771 

Length

Max length55
Median length47
Mean length30.107595
Min length20

Unique

Unique663 ?
Unique (%)83.9%

Sample

1st row대구광역시 중구 국채보상로 643, 4층 (동인동2가, 태명빌딩)
2nd row대구광역시 중구 동덕로 115, 1207호 (삼덕동2가, 진석타워)
3rd row대구광역시 중구 달구벌대로 2202, 6층 (대봉동, 대봉빌딩)
4th row대구광역시 중구 달구벌대로 2019, 407호 (동산동)
5th row대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)

Common Values

ValueCountFrequency (%)
대구광역시 중구 공평로 59, 우원빌딩 2층 (공평동) 5
 
0.6%
대구광역시 달서구 공원순환로 46, 대구관광정보센터 (두류동) 4
 
0.5%
대구광역시 중구 경상감영길 275 (동인동1가) 4
 
0.5%
대구광역시 중구 명덕로 207, 2층 (남산동) 3
 
0.4%
대구광역시 중구 국채보상로 738-1 (동인동4가) 3
 
0.4%
대구광역시 중구 경상감영길 275 (동인동1가) 3
 
0.4%
대구광역시 중구 동덕로 115, 1309호 (삼덕동2가,진석타워) 3
 
0.4%
대구광역시 중구 국채보상로 643, 5층 (동인동2가) 3
 
0.4%
대구광역시 중구 경상감영길 274 (동인동2가) 3
 
0.4%
대구광역시 동구 안심로49길 17-5 (서호동) 3
 
0.4%
Other values (709) 756
93.4%
(Missing) 19
 
2.3%

Length

2023-07-15T22:22:11.622977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 789
 
16.6%
중구 361
 
7.6%
달서구 105
 
2.2%
수성구 98
 
2.1%
2층 93
 
2.0%
동구 79
 
1.7%
국채보상로 74
 
1.6%
경상감영길 66
 
1.4%
북구 60
 
1.3%
3층 58
 
1.2%
Other values (1135) 2961
62.4%

도로명우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct346
Distinct (%)54.4%
Missing173
Missing (%)21.4%
Memory size6.4 KiB
41911
 
34
41914
 
29
41913
 
18
41940
 
13
41953
 
9
Other values (341)
533 

Length

Max length7
Median length5
Mean length5.2075472
Min length5

Unique

Unique238 ?
Unique (%)37.4%

Sample

1st row41914
2nd row41940
3rd row41951
4th row700-821
5th row41941

Common Values

ValueCountFrequency (%)
41911 34
 
4.2%
41914 29
 
3.6%
41913 18
 
2.2%
41940 13
 
1.6%
41953 9
 
1.1%
41938 9
 
1.1%
41959 7
 
0.9%
41934 7
 
0.9%
41912 7
 
0.9%
41908 7
 
0.9%
Other values (336) 496
61.3%
(Missing) 173
 
21.4%

Length

2023-07-15T22:22:11.983766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
41911 34
 
5.3%
41914 29
 
4.6%
41913 18
 
2.8%
41940 13
 
2.0%
41953 9
 
1.4%
41938 9
 
1.4%
41908 7
 
1.1%
41912 7
 
1.1%
41934 7
 
1.1%
41959 7
 
1.1%
Other values (336) 496
78.0%

사업장명
Categorical

Distinct797
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
로즈아이(주)
 
2
와이티이
 
2
(주)투어하비항공여행사
 
2
(주)에스엠투어
 
2
(주)효성관광여행사
 
2
Other values (792)
799 

Length

Max length23
Median length19
Mean length8.3930779
Min length2

Unique

Unique785 ?
Unique (%)97.0%

Sample

1st row(주)토마스투어인터내셔날
2nd row(주)오늘의여행
3rd row(주)하나고속관광
4th row(주)대구대한여행사
5th row(주)토마토투어

Common Values

ValueCountFrequency (%)
로즈아이(주) 2
 
0.2%
와이티이 2
 
0.2%
(주)투어하비항공여행사 2
 
0.2%
(주)에스엠투어 2
 
0.2%
(주)효성관광여행사 2
 
0.2%
이글투어 2
 
0.2%
주식회사 체험학교 2
 
0.2%
가람여행사 2
 
0.2%
(주)지성항공여행사 2
 
0.2%
(주)대신모투어 2
 
0.2%
Other values (787) 789
97.5%

Length

2023-07-15T22:22:12.346847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주식회사 55
 
5.7%
투어 15
 
1.6%
여행사 12
 
1.2%
주 9
 
0.9%
tour 4
 
0.4%
길 3
 
0.3%
여행 3
 
0.3%
로즈아이(주 2
 
0.2%
모두투어 2
 
0.2%
트래블 2
 
0.2%
Other values (840) 857
88.9%

최종수정시점
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct809
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2019-02-11 09:49:09
 
1
2004-10-12 18:22:18
 
1
2011-04-19 18:10:45
 
1
2012-01-27 17:23:54
 
1
2018-10-04 16:28:19
 
1
Other values (804)
804 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique809 ?
Unique (%)100.0%

Sample

1st row2019-02-11 09:49:09
2nd row2018-10-04 16:25:21
3rd row2018-10-04 16:28:19
4th row2012-10-11 20:13:29
5th row2019-02-11 09:46:16

Common Values

ValueCountFrequency (%)
2019-02-11 09:49:09 1
 
0.1%
2004-10-12 18:22:18 1
 
0.1%
2011-04-19 18:10:45 1
 
0.1%
2012-01-27 17:23:54 1
 
0.1%
2018-10-04 16:28:19 1
 
0.1%
2012-10-11 20:13:29 1
 
0.1%
2019-02-11 09:46:16 1
 
0.1%
2019-12-03 13:41:40 1
 
0.1%
2020-12-24 17:50:53 1
 
0.1%
2011-06-20 12:17:14 1
 
0.1%
Other values (799) 799
98.8%

Length

2023-07-15T22:22:12.663707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-03-03 47
 
2.9%
2023-03-08 31
 
1.9%
2023-03-06 29
 
1.8%
2023-03-07 15
 
0.9%
2011-12-09 9
 
0.6%
2007-12-11 9
 
0.6%
2023-02-17 9
 
0.6%
2023-03-02 8
 
0.5%
2022-12-15 8
 
0.5%
2005-07-06 7
 
0.4%
Other values (1290) 1446
89.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
U
480 
I
329 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 480
59.3%
I 329
40.7%

Length

2023-07-15T22:22:12.947778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:13.194880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
u 480
59.3%
i 329
40.7%

데이터갱신일자
Categorical

Distinct268
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2018-08-31 23:59:59
294 
2023-03-05 02:40:00
46 
2023-03-10 02:40:00
 
28
2023-03-08 02:40:00
 
26
2023-03-09 02:40:00
 
13
Other values (263)
402 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique197 ?
Unique (%)24.4%

Sample

1st row2019-02-13 02:40:00
2nd row2018-10-06 02:36:26
3rd row2018-10-06 02:36:26
4th row2018-08-31 23:59:59
5th row2019-02-13 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 294
36.3%
2023-03-05 02:40:00 46
 
5.7%
2023-03-10 02:40:00 28
 
3.5%
2023-03-08 02:40:00 26
 
3.2%
2023-03-09 02:40:00 13
 
1.6%
2023-02-19 02:40:00 9
 
1.1%
2023-05-26 08:48:36 8
 
1.0%
2022-12-17 02:40:00 8
 
1.0%
2023-03-04 02:40:00 8
 
1.0%
2019-12-06 02:40:00 7
 
0.9%
Other values (258) 362
44.7%

Length

2023-07-15T22:22:13.390437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 463
28.6%
2018-08-31 294
18.2%
23:59:59 294
18.2%
2023-03-05 46
 
2.8%
2023-03-10 28
 
1.7%
2023-03-08 26
 
1.6%
2023-03-09 13
 
0.8%
2023-05-26 10
 
0.6%
2023-02-19 9
 
0.6%
2023-03-04 9
 
0.6%
Other values (285) 426
26.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct584
Distinct (%)73.2%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean343939.44
Minimum313471.66
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:13.649015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum313471.66
5-th percentile337006.22
Q1342706.56
median344455.47
Q3345211.36
95-th percentile351967.08
Maximum357888.72
Range44417.066
Interquartile range (IQR)2504.7969

Descriptive statistics

Standard deviation4162.1895
Coefficient of variation (CV)0.012101519
Kurtosis5.1369626
Mean343939.44
Median Absolute Deviation (MAD)1152.5745
Skewness-0.49315643
Sum2.7446367 × 108
Variance17323821
MonotonicityNot monotonic
2023-07-15T22:22:13.928296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136453669 22
 
2.7%
344686.25933796 18
 
2.2%
344605.61967358 11
 
1.4%
344633.379801027 8
 
1.0%
344204.5224695 6
 
0.7%
344417.802132034 6
 
0.7%
344513.064659626 6
 
0.7%
344635.219417754 5
 
0.6%
343824.014318863 5
 
0.6%
344532.26916045 5
 
0.6%
Other values (574) 706
87.3%
(Missing) 11
 
1.4%
ValueCountFrequency (%)
313471.658332689 1
0.1%
328158.162334234 1
0.1%
328166.58940738 1
0.1%
329632.740897502 1
0.1%
330718.4465195 1
0.1%
331836.336853773 1
0.1%
332281.444099015 1
0.1%
332426.05670019 1
0.1%
332873.58844066 1
0.1%
333231.030913403 1
0.1%
ValueCountFrequency (%)
357888.724162031 1
0.1%
356698.367083593 1
0.1%
356411.615244907 1
0.1%
356362.215227859 1
0.1%
356326.911676749 1
0.1%
355939.362329351 1
0.1%
355857.357218327 1
0.1%
355648.433221326 2
0.2%
355488.681041708 1
0.1%
354938.181776941 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct584
Distinct (%)73.2%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263769.25
Minimum241414.9
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:14.212871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum241414.9
5-th percentile258868.22
Q1262879.83
median264312.92
Q3264667.26
95-th percentile267886.38
Maximum272714.08
Range31299.182
Interquartile range (IQR)1787.4256

Descriptive statistics

Standard deviation2835.9135
Coefficient of variation (CV)0.010751494
Kurtosis11.86247
Mean263769.25
Median Absolute Deviation (MAD)859.93152
Skewness-1.5138982
Sum2.1048786 × 108
Variance8042405.3
MonotonicityNot monotonic
2023-07-15T22:22:14.541612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.83887629 22
 
2.7%
263958.880864104 18
 
2.2%
264770.297910586 11
 
1.4%
264504.72759203 8
 
1.0%
265028.313376104 6
 
0.7%
264430.537921817 6
 
0.7%
264505.891390331 6
 
0.7%
264588.810389705 5
 
0.6%
263050.618530479 5
 
0.6%
264500.858933293 5
 
0.6%
Other values (574) 706
87.3%
(Missing) 11
 
1.4%
ValueCountFrequency (%)
241414.901954418 1
0.1%
244686.529495474 1
0.1%
244734.409662869 1
0.1%
247280.408451515 1
0.1%
252113.071996862 1
0.1%
256670.659941703 2
0.2%
256949.478871798 1
0.1%
256958.875427807 1
0.1%
257104.831161472 1
0.1%
257144.903990655 2
0.2%
ValueCountFrequency (%)
272714.084452226 1
0.1%
272684.961900213 1
0.1%
272600.06388059 1
0.1%
272504.525242214 1
0.1%
272458.214110038 1
0.1%
272441.576799004 1
0.1%
272431.249957117 1
0.1%
272288.787577805 1
0.1%
272277.564167233 1
0.1%
271301.184345932 1
0.1%

문화체육업종명
Categorical

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
국내외여행업
809 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 809
100.0%

Length

2023-07-15T22:22:14.776770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:15.003170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 809
100.0%

문화사업자구분명
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing445
Missing (%)55.0%
Memory size6.4 KiB
관광사업
364 

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 364
45.0%
(Missing) 445
55.0%

Length

2023-07-15T22:22:15.199170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:15.416361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 364
100.0%

지역구분명
Categorical

Distinct8
Distinct (%)14.5%
Missing754
Missing (%)93.2%
Memory size6.4 KiB
일반주거지역
19 
근린상업지역
14 
상업지역
8 
일반상업지역
6 
중심상업지역
4 
Other values (3)
4 

Length

Max length6
Median length6
Mean length5.6363636
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row일반주거지역
2nd row근린상업지역
3rd row근린상업지역
4th row일반상업지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
일반주거지역 19
 
2.3%
근린상업지역 14
 
1.7%
상업지역 8
 
1.0%
일반상업지역 6
 
0.7%
중심상업지역 4
 
0.5%
준주거지역 2
 
0.2%
주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%
(Missing) 754
93.2%

Length

2023-07-15T22:22:15.621615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:15.896892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
일반주거지역 19
34.5%
근린상업지역 14
25.5%
상업지역 8
14.5%
일반상업지역 6
 
10.9%
중심상업지역 4
 
7.3%
준주거지역 2
 
3.6%
주거지역 1
 
1.8%
자연녹지지역 1
 
1.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.7%
Missing399
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean1.6219512
Minimum0
Maximum402
Zeros349
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:16.177394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum402
Range402
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.922859
Coefficient of variation (CV)12.283266
Kurtosis401.66953
Mean1.6219512
Median Absolute Deviation (MAD)0
Skewness19.944233
Sum665
Variance396.9203
MonotonicityNot monotonic
2023-07-15T22:22:16.383220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 349
43.1%
3 13
 
1.6%
5 10
 
1.2%
2 10
 
1.2%
1 8
 
1.0%
4 7
 
0.9%
6 3
 
0.4%
10 2
 
0.2%
12 2
 
0.2%
13 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 399
49.3%
ValueCountFrequency (%)
0 349
43.1%
1 8
 
1.0%
2 10
 
1.2%
3 13
 
1.6%
4 7
 
0.9%
5 10
 
1.2%
6 3
 
0.4%
7 1
 
0.1%
8 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
402 1
 
0.1%
17 1
 
0.1%
13 1
 
0.1%
12 2
 
0.2%
11 1
 
0.1%
10 2
 
0.2%
8 1
 
0.1%
7 1
 
0.1%
6 3
 
0.4%
5 10
1.2%

주변환경명
Categorical

Distinct4
Distinct (%)16.0%
Missing784
Missing (%)96.9%
Memory size6.4 KiB
기타
13 
아파트지역
6 
주택가주변
4 
결혼예식장주변
2 

Length

Max length7
Median length2
Mean length3.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row결혼예식장주변
2nd row기타
3rd row아파트지역
4th row기타
5th row아파트지역

Common Values

ValueCountFrequency (%)
기타 13
 
1.6%
아파트지역 6
 
0.7%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.2%
(Missing) 784
96.9%

Length

2023-07-15T22:22:16.626411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:16.862005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
기타 13
52.0%
아파트지역 6
24.0%
주택가주변 4
 
16.0%
결혼예식장주변 2
 
8.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

보험기관명
Categorical

HIGH CARDINALITY  MISSING 

Distinct247
Distinct (%)40.8%
Missing204
Missing (%)25.2%
Memory size6.4 KiB
서울보증보험
178 
한국관광협회중앙회 여행공제회
51 
서울보증보험주식회사
38 
관광협회
 
25
관광공제회
 
22
Other values (242)
291 

Length

Max length22
Median length20
Mean length11.904132
Min length4

Unique

Unique230 ?
Unique (%)38.0%

Sample

1st row서울보증보험 661-61-00314
2nd row서울보증보험 553-86-00226
3rd row서울보증보험 504-86-07931
4th row서울보증보험 504-85-15620
5th row서울보증보험 504-86-11037

Common Values

ValueCountFrequency (%)
서울보증보험 178
22.0%
한국관광협회중앙회 여행공제회 51
 
6.3%
서울보증보험주식회사 38
 
4.7%
관광협회 25
 
3.1%
관광공제회 22
 
2.7%
한국관광협회 13
 
1.6%
한국관광협회중앙회 12
 
1.5%
한국관광협회중앙회 관광공제회 8
 
1.0%
대구광역시관광협회 5
 
0.6%
서울보증 4
 
0.5%
Other values (237) 249
30.8%
(Missing) 204
25.2%

Length

2023-07-15T22:22:17.098325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험 333
37.4%
관광협회 79
 
8.9%
한국관광협회중앙회 71
 
8.0%
여행공제회 54
 
6.1%
서울보증보험주식회사 38
 
4.3%
관광공제회 31
 
3.5%
한국관광협회 17
 
1.9%
대구광역시관광협회 5
 
0.6%
서울보증 4
 
0.4%
서울보증보험(주 4
 
0.4%
Other values (240) 254
28.5%

건물용도명
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)9.0%
Missing742
Missing (%)91.7%
Memory size6.4 KiB
근린생활시설
49 
사무실
12 
유통시설
 
3
위험물저장시설
 
1
단독주택
 
1

Length

Max length7
Median length6
Mean length5.358209
Min length3

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row사무실
4th row근린생활시설
5th row사무실

Common Values

ValueCountFrequency (%)
근린생활시설 49
 
6.1%
사무실 12
 
1.5%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
(Missing) 742
91.7%

Length

2023-07-15T22:22:17.403791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:17.701214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 49
73.1%
사무실 12
 
17.9%
유통시설 3
 
4.5%
위험물저장시설 1
 
1.5%
단독주택 1
 
1.5%
교육연구시설 1
 
1.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.6%
Missing388
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean0.65558195
Minimum0
Maximum21
Zeros349
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:17.888951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1464585
Coefficient of variation (CV)3.274127
Kurtosis40.735457
Mean0.65558195
Median Absolute Deviation (MAD)0
Skewness5.6257313
Sum276
Variance4.6072842
MonotonicityNot monotonic
2023-07-15T22:22:18.106325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 349
43.1%
2 19
 
2.3%
1 16
 
2.0%
4 10
 
1.2%
3 10
 
1.2%
5 6
 
0.7%
10 2
 
0.2%
6 2
 
0.2%
20 1
 
0.1%
21 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 388
48.0%
ValueCountFrequency (%)
0 349
43.1%
1 16
 
2.0%
2 19
 
2.3%
3 10
 
1.2%
4 10
 
1.2%
5 6
 
0.7%
6 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
21 1
 
0.1%
20 1
 
0.1%
14 1
 
0.1%
11 1
 
0.1%
10 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 2
 
0.2%
5 6
0.7%

지하층수
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
421 
0
368 
1
 
14
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length2.5611867
Min length1

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> 421
52.0%
0 368
45.5%
1 14
 
1.7%
2 5
 
0.6%
6 1
 
0.1%

Length

2023-07-15T22:22:18.351304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:19.009971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 421
52.0%
0 368
45.5%
1 14
 
1.7%
2 5
 
0.6%
6 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:19.343384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:19.757398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:20.018037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:20.273824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

영문상호명
Categorical

HIGH CARDINALITY  MISSING 

Distinct345
Distinct (%)100.0%
Missing464
Missing (%)57.4%
Memory size6.4 KiB
WEDDING COMPANY CO.,LTD
 
1
SMILE TOUR CO.,LTD
 
1
DAEGU NETIZENTOUR CO.,LTD
 
1
HESSED TOUR CO.,LTD
 
1
TRAVEL & PEOPLE CO.,LTD
 
1
Other values (340)
340 

Length

Max length49
Median length31
Mean length19.727536
Min length3

Unique

Unique345 ?
Unique (%)100.0%

Sample

1st rowTHOMAS TOUR INTERNATIONAL CO.,LTD
2nd rowTODAY'S TOUR CO.,LTD
3rd rowHANA EXPRESS TRAVEL CO.,LTD
4th rowTOMATO TOUR CO.,LTD
5th rowSMILE TOUR CO.,LTD

Common Values

ValueCountFrequency (%)
WEDDING COMPANY CO.,LTD 1
 
0.1%
SMILE TOUR CO.,LTD 1
 
0.1%
DAEGU NETIZENTOUR CO.,LTD 1
 
0.1%
HESSED TOUR CO.,LTD 1
 
0.1%
TRAVEL & PEOPLE CO.,LTD 1
 
0.1%
JUNE-K CO.,LTD 1
 
0.1%
EXPRESS TRAVEL YEUNGNAM CO., LTD 1
 
0.1%
TOUR WORLD 1
 
0.1%
SHINSUNHAN TRAVEL AGENCY CO., LTD 1
 
0.1%
S travel center 1
 
0.1%
Other values (335) 335
41.4%
(Missing) 464
57.4%

Length

2023-07-15T22:22:20.583080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tour 168
 
14.4%
co.,ltd 136
 
11.7%
ltd 92
 
7.9%
co 91
 
7.8%
travel 90
 
7.7%
world 16
 
1.4%
co.ltd 16
 
1.4%
daegu 15
 
1.3%
air 13
 
1.1%
agency 12
 
1.0%
Other values (393) 518
44.4%

영문상호주소
Categorical

Distinct19
Distinct (%)5.6%
Missing467
Missing (%)57.7%
Memory size6.4 KiB
Overseas travel business
173 
Overseas Travel Agency
64 
Overseas Travel business
38 
Domestic and Overseas travel business
24 
OVERSEAS TRAVEL AGENCY
 
13
Other values (14)
30 

Length

Max length43
Median length24
Mean length24.865497
Min length21

Unique

Unique10 ?
Unique (%)2.9%

Sample

1st rowOverseas travel business
2nd rowOverseas travel business
3rd rowOverseas Travel business
4th rowOverseas travel business
5th rowOverseas travel business

Common Values

ValueCountFrequency (%)
Overseas travel business 173
 
21.4%
Overseas Travel Agency 64
 
7.9%
Overseas Travel business 38
 
4.7%
Domestic and Overseas travel business 24
 
3.0%
OVERSEAS TRAVEL AGENCY 13
 
1.6%
Domestic & Overseas Travel Business 9
 
1.1%
Overseas Travel Business 7
 
0.9%
Overseas Travel agency 2
 
0.2%
overseas travel agency 2
 
0.2%
Overseas Travel Ageny 1
 
0.1%
Other values (9) 9
 
1.1%
(Missing) 467
57.7%

Length

2023-07-15T22:22:20.822891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
travel 341
31.1%
overseas 336
30.6%
business 254
23.2%
agency 86
 
7.8%
domestic 36
 
3.3%
and 25
 
2.3%
10
 
0.9%
domestic&overseas 2
 
0.2%
ageny 1
 
0.1%
275 1
 
0.1%
Other values (5) 5
 
0.5%

선박총톤수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:21.052619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:21.345320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:21.624977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:21.904271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:22.184965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:22.502103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:22.729876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:22.960688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:23.141075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:23.396838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)18.0%
Missing392
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean33.205588
Minimum0
Maximum5980.8
Zeros333
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:23.673154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99.336
Maximum5980.8
Range5980.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation300.41392
Coefficient of variation (CV)9.0470894
Kurtosis371.8767
Mean33.205588
Median Absolute Deviation (MAD)0
Skewness18.837568
Sum13846.73
Variance90248.522
MonotonicityNot monotonic
2023-07-15T22:22:23.963922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 333
41.2%
66.0 4
 
0.5%
19.8 2
 
0.2%
49.5 2
 
0.2%
10.0 2
 
0.2%
99.17 2
 
0.2%
36.57 2
 
0.2%
99.0 2
 
0.2%
33.0 2
 
0.2%
74.97 1
 
0.1%
Other values (65) 65
 
8.0%
(Missing) 392
48.5%
ValueCountFrequency (%)
0.0 333
41.2%
1.0 1
 
0.1%
3.3 1
 
0.1%
8.26 1
 
0.1%
9.9 1
 
0.1%
10.0 2
 
0.2%
13.0 1
 
0.1%
15.0 1
 
0.1%
16.53 1
 
0.1%
17.96 1
 
0.1%
ValueCountFrequency (%)
5980.8 1
0.1%
827.53 1
0.1%
764.26 1
0.1%
470.0 1
0.1%
363.0 1
0.1%
305.6 1
0.1%
269.74 1
0.1%
191.85 1
0.1%
185.75 1
0.1%
166.0 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
434 
0
375 

Length

Max length4
Median length4
Mean length2.6093943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 434
53.6%
0 375
46.4%

Length

2023-07-15T22:22:24.723951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:25.162475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 434
53.6%
0 375
46.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

기획여행보험시작일자
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
808 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0049444
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> 808
99.9%
20150101 1
 
0.1%

Length

2023-07-15T22:22:25.503834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:25.874283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 808
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
808 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0049444
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> 808
99.9%
20151231 1
 
0.1%

Length

2023-07-15T22:22:26.108604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:26.431301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 808
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)9.3%
Missing130
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean82944837
Minimum0
Maximum1.8854 × 109
Zeros109
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:26.717007image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133070000
median90000000
Q31 × 108
95-th percentile1.5 × 108
Maximum1.8854 × 109
Range1.8854 × 109
Interquartile range (IQR)66930000

Descriptive statistics

Standard deviation1.1754071 × 108
Coefficient of variation (CV)1.4170949
Kurtosis124.35687
Mean82944837
Median Absolute Deviation (MAD)30000000
Skewness9.7032318
Sum5.6319545 × 1010
Variance1.3815818 × 1016
MonotonicityNot monotonic
2023-07-15T22:22:27.359856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 211
26.1%
0 109
13.5%
60000000 100
12.4%
150000000 50
 
6.2%
30000000 49
 
6.1%
90000000 45
 
5.6%
50000000 18
 
2.2%
70000000 13
 
1.6%
45000000 12
 
1.5%
200000000 6
 
0.7%
Other values (53) 66
 
8.2%
(Missing) 130
16.1%
ValueCountFrequency (%)
0 109
13.5%
100 1
 
0.1%
6000 1
 
0.1%
600000 1
 
0.1%
10000000 4
 
0.5%
30000000 49
6.1%
30078376 1
 
0.1%
30089984 1
 
0.1%
31449792 1
 
0.1%
31494736 1
 
0.1%
ValueCountFrequency (%)
1885400000 1
 
0.1%
1500000000 1
 
0.1%
1065880050 1
 
0.1%
1000000000 1
 
0.1%
546800000 1
 
0.1%
500000000 1
 
0.1%
389110329 1
 
0.1%
346000000 1
 
0.1%
300000000 4
0.5%
250000000 4
0.5%

보험시작일자
Real number (ℝ)

Distinct576
Distinct (%)84.5%
Missing127
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20183513
Minimum20020313
Maximum20230614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:27.690790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080337
Q120160309
median20201110
Q320220728
95-th percentile20230310
Maximum20230614
Range210301
Interquartile range (IQR)60418.75

Descriptive statistics

Standard deviation50356.055
Coefficient of variation (CV)0.0024949103
Kurtosis0.71774656
Mean20183513
Median Absolute Deviation (MAD)20108.5
Skewness-1.2415126
Sum1.3765156 × 1010
Variance2.5357323 × 109
MonotonicityNot monotonic
2023-07-15T22:22:28.019473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220601 10
 
1.2%
20230301 6
 
0.7%
20220610 5
 
0.6%
20220611 4
 
0.5%
20230307 4
 
0.5%
20210601 4
 
0.5%
20220701 4
 
0.5%
20220608 4
 
0.5%
20220609 4
 
0.5%
20220714 4
 
0.5%
Other values (566) 633
78.2%
(Missing) 127
 
15.7%
ValueCountFrequency (%)
20020313 1
0.1%
20020612 1
0.1%
20020921 1
0.1%
20021014 1
0.1%
20021206 1
0.1%
20030217 1
0.1%
20030322 1
0.1%
20030411 1
0.1%
20030521 1
0.1%
20030722 1
0.1%
ValueCountFrequency (%)
20230614 1
0.1%
20230612 1
0.1%
20230610 1
0.1%
20230608 1
0.1%
20230602 1
0.1%
20230528 1
0.1%
20230524 1
0.1%
20230517 1
0.1%
20230515 2
0.2%
20230513 1
0.1%

보험종료일자
Real number (ℝ)

Distinct578
Distinct (%)84.8%
Missing127
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20194022
Minimum20030313
Maximum20260501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:28.345137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090509
Q120170308
median20211170
Q320230808
95-th percentile20240324
Maximum20260501
Range230188
Interquartile range (IQR)60499.75

Descriptive statistics

Standard deviation50569.502
Coefficient of variation (CV)0.0025041818
Kurtosis0.70896544
Mean20194022
Median Absolute Deviation (MAD)20147.5
Skewness-1.2390831
Sum1.3772323 × 1010
Variance2.5572746 × 109
MonotonicityNot monotonic
2023-07-15T22:22:28.717438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230531 9
 
1.1%
20230609 6
 
0.7%
20240306 5
 
0.6%
20230713 4
 
0.5%
20230611 4
 
0.5%
20230610 4
 
0.5%
20240229 4
 
0.5%
20220531 4
 
0.5%
20230909 3
 
0.4%
20230503 3
 
0.4%
Other values (568) 636
78.6%
(Missing) 127
 
15.7%
ValueCountFrequency (%)
20030313 1
0.1%
20030612 1
0.1%
20030921 1
0.1%
20031014 1
0.1%
20031206 1
0.1%
20040217 1
0.1%
20040322 1
0.1%
20040411 1
0.1%
20040521 1
0.1%
20040722 1
0.1%
ValueCountFrequency (%)
20260501 1
0.1%
20251116 1
0.1%
20250506 1
0.1%
20250202 1
0.1%
20241119 1
0.1%
20240825 1
0.1%
20240630 1
0.1%
20240614 1
0.1%
20240611 1
0.1%
20240610 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)14.4%
Missing392
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean33.218225
Minimum0
Maximum5981
Zeros333
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-07-15T22:22:28.987738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99.2
Maximum5981
Range5981
Interquartile range (IQR)0

Descriptive statistics

Standard deviation300.42683
Coefficient of variation (CV)9.0440362
Kurtosis371.85961
Mean33.218225
Median Absolute Deviation (MAD)0
Skewness18.836958
Sum13852
Variance90256.282
MonotonicityNot monotonic
2023-07-15T22:22:29.243376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 333
41.2%
99 4
 
0.5%
66 4
 
0.5%
10 3
 
0.4%
20 3
 
0.4%
50 3
 
0.4%
34 2
 
0.2%
26 2
 
0.2%
37 2
 
0.2%
86 2
 
0.2%
Other values (50) 59
 
7.3%
(Missing) 392
48.5%
ValueCountFrequency (%)
0 333
41.2%
1 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
10 3
 
0.4%
13 1
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
18 2
 
0.2%
20 3
 
0.4%
ValueCountFrequency (%)
5981 1
0.1%
828 1
0.1%
764 1
0.1%
470 1
0.1%
363 1
0.1%
306 1
0.1%
270 1
0.1%
192 1
0.1%
186 1
0.1%
166 1
0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국내외여행업03_12_02_P3410000CDFI22600220150000142015-08-272019-02-114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 19번지 태명빌딩 4층대구광역시 중구 국채보상로 643, 4층 (동인동2가, 태명빌딩)41914(주)토마스투어인터내셔날2019-02-11 09:49:09U2019-02-13 02:40:00<NA>344532.26916264500.858933국내외여행업<NA><NA><NA><NA><NA>서울보증보험 661-61-00314<NA><NA><NA><NA><NA>THOMAS TOUR INTERNATIONAL CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002015122320161222<NA><NA>
12국내외여행업03_12_02_P3410000CDFI22600220150000152015-09-022018-10-044취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 210-1번지 진석타워즈 1207호대구광역시 중구 동덕로 115, 1207호 (삼덕동2가, 진석타워)41940(주)오늘의여행2018-10-04 16:25:21U2018-10-06 02:36:26<NA>344686.259338263958.880864국내외여행업<NA><NA><NA><NA><NA>서울보증보험 553-86-00226<NA><NA><NA><NA><NA>TODAY'S TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002015090220160901<NA><NA>
23국내외여행업03_12_02_P3410000CDFI22600220130000112013-07-302018-10-044취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-261-0055<NA>700-431대구광역시 중구 대봉동 20-50번지 대봉빌딩 6층대구광역시 중구 달구벌대로 2202, 6층 (대봉동, 대봉빌딩)41951(주)하나고속관광2018-10-04 16:28:19U2018-10-06 02:36:26<NA>344806.795948263678.645026국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-07931<NA><NA><NA><NA><NA>HANA EXPRESS TRAVEL CO.,LTDOverseas Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002015090120160831<NA><NA>
34국내외여행업03_12_02_P3410000CDFI22600219930000021993-12-062012-08-244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-421-7470<NA>700-310대구광역시 중구 동산동 788-5번지 407호대구광역시 중구 달구벌대로 2019, 407호 (동산동)700-821(주)대구대한여행사2012-10-11 20:13:29I2018-08-31 23:59:59<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010091720110917<NA><NA>
45국내외여행업03_12_02_P3410000CDFI22600220140000162014-08-222019-02-114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>424-2525<NA>700-411대구광역시 중구 삼덕동1가 61-1번지 3층대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)41941(주)토마토투어2019-02-11 09:46:16U2019-02-13 02:40:00<NA>344368.157903264201.865777국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-85-15620<NA><NA><NA><NA><NA>TOMATO TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002015092520160924<NA><NA>
56국내외여행업03_12_02_P3410000CDFI22600220140000012014-01-032019-12-034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-252-5454<NA><NA>대구광역시 중구 공평동 10-5대구광역시 중구 국채보상로125길 12, 3층 (공평동)41913(주)스마일투어2019-12-03 13:41:40U2019-12-06 02:40:00<NA>344326.500069264598.47234국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-11037<NA><NA><NA><NA><NA>SMILE TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002018050420190503<NA><NA>
67국내외여행업03_12_02_P3410000CDFI22600220140000042014-02-272020-12-244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-254-6885<NA>700-150대구광역시 중구 공평동 98-3대구광역시 중구 공평로 73-1 (공평동)41913대구네티즌투어(주)2020-12-24 17:50:53U2020-12-26 02:40:00<NA>344447.930536264572.932178국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-12263<NA><NA><NA><NA><NA>DAEGU NETIZENTOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002019030120200229<NA><NA>
78국내외여행업03_12_02_P3410000CDFI22600220050000062005-05-03<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-753-9400<NA>700-422대구광역시 중구 동인동2가 55-5번지<NA><NA>(주)라이프여행사2011-06-20 12:17:14I2018-08-31 23:59:59<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002008090320090902<NA><NA>
89국내외여행업03_12_02_P3410000CDFI22600220060000012006-01-24<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>700-180대구광역시 중구 동문동 13-11번지대구광역시 중구 경상감영길 226 (동문동)<NA>(주)나비여행사2008-03-18 14:44:53I2018-08-31 23:59:59<NA>344388.717202264646.125439국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002007021020080209<NA><NA>
910국내외여행업03_12_02_P3410000CDFI22600220180000132018-06-262019-12-034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 88-25번지대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 A45호 (동성로2가)41937(주)헤세드투어2019-12-03 13:54:12U2019-12-06 02:40:00<NA>343959.823762264529.39356국내외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>HESSED TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45000000<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
799800국내외여행업03_12_02_P3480000CDFI22600220150000012015-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>053-553-0033<NA><NA>대구광역시 달성군 구지면 창리 12-1번지대구광역시 달성군 구지면 국가산단북로 24743006(주)신세계여행사2020-02-05 13:44:31U2020-02-07 02:40:00<NA>328158.162334241414.901954국내외여행업<NA><NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA>Shinsegae Tour Co.,LtdOversea Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017012220180122<NA><NA>
800801국내외여행업03_12_02_P3480000CDFI22600220170000012013-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>0535917799<NA><NA>대구광역시 달성군 다사읍 매곡리 1539번지 죽곡휴먼시아1단지 상가동 203호대구광역시 달성군 다사읍 대실역북로1길 6, 상가동 2층 203호 (죽곡휴먼시아1단지)42914(주)여행코리아2017-10-17 11:06:39I2018-08-31 23:59:59<NA>332426.0567263147.567587국내외여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA>TOURS-KOREACO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002017032620180326<NA><NA>
801802국내외여행업03_12_02_P3480000CDFI22600220180000012018-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>0536146677<NA><NA>대구광역시 달성군 논공읍 노이리 1080번지대구광역시 달성군 논공읍 노이길 20242975더나은투어(주)2018-04-13 10:05:11I2018-08-31 23:59:59<NA>329632.740898252113.071997국내외여행업<NA>자연녹지지역<NA>기타<NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51.7<NA><NA><NA><NA><NA><NA><NA><NA>1000000002018041220190412<NA>52
802803국내외여행업03_12_02_P3480000CDFI22600220180000032018-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1521-15 501호대구광역시 달성군 다사읍 대실역북로5길 37, 501호42911여행 매니아2023-02-06 16:03:18U2023-02-08 02:40:00<NA>332281.444099263638.096261국내외여행업<NA>일반주거지역0<NA><NA><NA><NA>0000TRAVEL MANIAOverseas Travel Business00<NA>00<NA>026.0<NA>0<NA><NA><NA><NA><NA><NA>30089984<NA><NA><NA>26
803804국내외여행업03_12_02_P3480000CDFI22600220190000012019-02-11<NA>1영업/정상13영업중<NA><NA><NA><NA>0536324200<NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 16, 4층42946옴니버스 주식회사2019-02-11 17:51:16I2019-02-13 02:21:19<NA>334703.341974256670.659942국내외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>119.63<NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>120
804805국내외여행업03_12_02_P3480000CDFI22600220230000022023-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 용리 887대구광역시 달성군 유가읍 테크노순환로12길 4, 2층42994세부스타2023-05-24 10:29:09U2023-05-26 02:40:00<NA>332873.588441244686.529495국내외여행업<NA><NA>0<NA><NA><NA><NA>0000CEBU STAROverseas Travel Business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
805806국내외여행업03_12_02_P3480000CDFI22600220230000031999-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA>0536510040<NA><NA>대구광역시 달성군 화원읍 천내리 460-4대구광역시 달성군 화원읍 비슬로 2616, 1층42962(주)제일여행사2023-05-25 16:38:01I2023-05-27 00:19:40<NA>335754.988719257104.831161국내외여행업관광사업<NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000JE IL TOURIST CO.,LTDOverseas Travel Business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1000000002022090920230909<NA>0
806807국내외여행업03_12_02_P3480000CDFI22600220230000012023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA>0535882786<NA><NA>대구광역시 달성군 다사읍 세천리 1590-4대구광역시 달성군 다사읍 세천로 144, 3층42930MNK교육투어2023-05-24 10:33:32U2023-05-26 02:40:00<NA>333347.537584264773.829267국내외여행업<NA><NA>0<NA><NA><NA><NA>0000MNK EDUCATIONAL TOUROverseas Travel Business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>30000000<NA><NA><NA>0
807808국내외여행업03_12_02_P3480000CDFI22600220210000012019-02-25<NA>1영업/정상13영업중<NA><NA><NA><NA>053-524-1144<NA><NA>대구광역시 달성군 다사읍 죽곡리 876 협성휴포레·죽곡대구광역시 달성군 다사읍 달구벌대로174길 50, 301동 304호 (협성휴포레·죽곡)42915(주)여행신화2021-02-15 11:01:46U2021-02-17 02:40:00<NA>331836.336854263114.004828국내외여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002020030320210303<NA><NA>
808809국내외여행업03_12_02_P3480000CDFI22600220130000022013-04-19<NA>3폐업3폐업2016-03-09<NA><NA><NA>053-655-2000<NA>711-835대구광역시 달성군 화원읍 천내리 255-3번지대구광역시 달성군 화원읍 비슬로 256342947오성고속관광(주)2016-03-09 13:31:55I2018-08-31 23:59:59<NA>335251.932679256958.875428국내외여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA>OSUNG EXPRESS TOURSOverseas Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18854000002014042320150423<NA><NA>