Overview

Dataset statistics

Number of variables63
Number of observations772
Missing cells16056
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory413.3 KiB
Average record size in memory548.2 B

Variable types

Numeric20
Categorical23
Text7
Unsupported12
DateTime1

Dataset

Description22년06월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093913&dataSetDetailId=DDI_0000093909&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (83.3%)Imbalance
주변환경명 is highly imbalanced (89.1%)Imbalance
건물용도명 is highly imbalanced (81.9%)Imbalance
지하층수 is highly imbalanced (59.3%)Imbalance
영문상호주소 is highly imbalanced (55.6%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 722 (93.5%) missing valuesMissing
폐업일자 has 493 (63.9%) missing valuesMissing
휴업시작일자 has 766 (99.2%) missing valuesMissing
휴업종료일자 has 766 (99.2%) missing valuesMissing
재개업일자 has 772 (100.0%) missing valuesMissing
소재지전화 has 219 (28.4%) missing valuesMissing
소재지면적 has 772 (100.0%) missing valuesMissing
소재지우편번호 has 372 (48.2%) missing valuesMissing
도로명전체주소 has 19 (2.5%) missing valuesMissing
도로명우편번호 has 175 (22.7%) missing valuesMissing
업태구분명 has 772 (100.0%) missing valuesMissing
총층수 has 555 (71.9%) missing valuesMissing
제작취급품목내용 has 772 (100.0%) missing valuesMissing
보험기관명 has 189 (24.5%) missing valuesMissing
지상층수 has 545 (70.6%) missing valuesMissing
영문상호명 has 441 (57.1%) missing valuesMissing
선박제원 has 772 (100.0%) missing valuesMissing
기념품종류 has 772 (100.0%) missing valuesMissing
시설면적 has 544 (70.5%) missing valuesMissing
놀이기구수내역 has 772 (100.0%) missing valuesMissing
방송시설유무 has 772 (100.0%) missing valuesMissing
발전시설유무 has 772 (100.0%) missing valuesMissing
의무실유무 has 772 (100.0%) missing valuesMissing
안내소유무 has 772 (100.0%) missing valuesMissing
자본금 has 192 (24.9%) missing valuesMissing
보험시작일자 has 118 (15.3%) missing valuesMissing
보험종료일자 has 118 (15.3%) missing valuesMissing
부대시설내역 has 772 (100.0%) missing valuesMissing
시설규모 has 544 (70.5%) 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 157 (20.3%) zerosZeros
지상층수 has 156 (20.2%) zerosZeros
시설면적 has 145 (18.8%) zerosZeros
자본금 has 35 (4.5%) zerosZeros
시설규모 has 145 (18.8%) zerosZeros

Reproduction

Analysis started2024-04-17 19:20:43.136572
Analysis finished2024-04-17 19:20:44.035939
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386.5
Minimum1
Maximum772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:44.090631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.55
Q1193.75
median386.5
Q3579.25
95-th percentile733.45
Maximum772
Range771
Interquartile range (IQR)385.5

Descriptive statistics

Standard deviation223.00149
Coefficient of variation (CV)0.5769767
Kurtosis-1.2
Mean386.5
Median Absolute Deviation (MAD)193
Skewness0
Sum298378
Variance49729.667
MonotonicityStrictly increasing
2024-04-18T04:20:44.210561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
485 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
Other values (762) 762
98.7%
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 (%)
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
국내외여행업
772 

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 772
100.0%

Length

2024-04-18T04:20:44.312258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:44.379889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 772
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
03_12_02_P
772 

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 772
100.0%

Length

2024-04-18T04:20:44.448543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:44.520820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 772
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431709.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:44.604520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation24435.07
Coefficient of variation (CV)0.0071203776
Kurtosis-1.403203
Mean3431709.8
Median Absolute Deviation (MAD)10000
Skewness0.5277297
Sum2.64928 × 109
Variance5.9707264 × 108
MonotonicityIncreasing
2024-04-18T04:20:44.714669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 361
46.8%
3470000 102
 
13.2%
3460000 92
 
11.9%
3420000 74
 
9.6%
3450000 72
 
9.3%
3440000 35
 
4.5%
3430000 23
 
3.0%
3480000 13
 
1.7%
ValueCountFrequency (%)
3410000 361
46.8%
3420000 74
 
9.6%
3430000 23
 
3.0%
3440000 35
 
4.5%
3450000 72
 
9.3%
3460000 92
 
11.9%
3470000 102
 
13.2%
3480000 13
 
1.7%
ValueCountFrequency (%)
3480000 13
 
1.7%
3470000 102
 
13.2%
3460000 92
 
11.9%
3450000 72
 
9.3%
3440000 35
 
4.5%
3430000 23
 
3.0%
3420000 74
 
9.6%
3410000 361
46.8%
Distinct406
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-18T04:20:44.865366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15440
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

Unique252 ?
Unique (%)32.6%

Sample

1st rowCDFI2260021993000002
2nd rowCDFI2260022014000016
3rd rowCDFI2260022014000001
4th rowCDFI2260022014000004
5th rowCDFI2260022005000006
ValueCountFrequency (%)
cdfi2260022021000002 7
 
0.9%
cdfi2260022021000001 7
 
0.9%
cdfi2260022015000001 7
 
0.9%
cdfi2260022016000002 6
 
0.8%
cdfi2260022007000001 6
 
0.8%
cdfi2260022016000005 6
 
0.8%
cdfi2260022017000001 6
 
0.8%
cdfi2260022010000001 6
 
0.8%
cdfi2260022018000001 6
 
0.8%
cdfi2260022018000003 6
 
0.8%
Other values (396) 709
91.8%
2024-04-18T04:20:45.114090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6249
40.5%
2 3336
21.6%
6 910
 
5.9%
1 849
 
5.5%
C 772
 
5.0%
D 772
 
5.0%
F 772
 
5.0%
I 772
 
5.0%
9 258
 
1.7%
3 163
 
1.1%
Other values (4) 587
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12352
80.0%
Uppercase Letter 3088
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6249
50.6%
2 3336
27.0%
6 910
 
7.4%
1 849
 
6.9%
9 258
 
2.1%
3 163
 
1.3%
4 163
 
1.3%
5 151
 
1.2%
8 139
 
1.1%
7 134
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 772
25.0%
D 772
25.0%
F 772
25.0%
I 772
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12352
80.0%
Latin 3088
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6249
50.6%
2 3336
27.0%
6 910
 
7.4%
1 849
 
6.9%
9 258
 
2.1%
3 163
 
1.3%
4 163
 
1.3%
5 151
 
1.2%
8 139
 
1.1%
7 134
 
1.1%
Latin
ValueCountFrequency (%)
C 772
25.0%
D 772
25.0%
F 772
25.0%
I 772
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6249
40.5%
2 3336
21.6%
6 910
 
5.9%
1 849
 
5.5%
C 772
 
5.0%
D 772
 
5.0%
F 772
 
5.0%
I 772
 
5.0%
9 258
 
1.7%
3 163
 
1.1%
Other values (4) 587
 
3.8%

인허가일자
Real number (ℝ)

Distinct698
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20089847
Minimum19820922
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:45.231084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820922
5-th percentile19940923
Q120040401
median20091016
Q320150820
95-th percentile20190215
Maximum20220628
Range399706
Interquartile range (IQR)110418.5

Descriptive statistics

Standard deviation74950.668
Coefficient of variation (CV)0.0037307735
Kurtosis-0.11598626
Mean20089847
Median Absolute Deviation (MAD)59599.5
Skewness-0.61064737
Sum1.5509362 × 1010
Variance5.6176027 × 109
MonotonicityNot monotonic
2024-04-18T04:20:45.341787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030310 10
 
1.3%
20050503 4
 
0.5%
20061127 3
 
0.4%
20180703 3
 
0.4%
20130418 3
 
0.4%
20150925 3
 
0.4%
20180510 3
 
0.4%
20120306 3
 
0.4%
20150611 3
 
0.4%
20150902 2
 
0.3%
Other values (688) 735
95.2%
ValueCountFrequency (%)
19820922 1
0.1%
19870907 1
0.1%
19871221 1
0.1%
19880209 1
0.1%
19880401 1
0.1%
19890220 1
0.1%
19890302 1
0.1%
19890308 2
0.3%
19890609 1
0.1%
19890804 1
0.1%
ValueCountFrequency (%)
20220628 1
0.1%
20220622 1
0.1%
20220523 1
0.1%
20220407 1
0.1%
20220107 1
0.1%
20211111 1
0.1%
20210924 1
0.1%
20210628 1
0.1%
20210622 1
0.1%
20210614 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)66.0%
Missing722
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean20149664
Minimum20090325
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:45.445691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090325
5-th percentile20095229
Q120111208
median20150818
Q320191120
95-th percentile20191226
Maximum20201224
Range110899
Interquartile range (IQR)79912

Descriptive statistics

Standard deviation37408.576
Coefficient of variation (CV)0.001856536
Kurtosis-1.5821128
Mean20149664
Median Absolute Deviation (MAD)39989.5
Skewness-0.057509308
Sum1.0074832 × 109
Variance1.3994016 × 109
MonotonicityNot monotonic
2024-04-18T04:20:45.542252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20191203 7
 
0.9%
20111208 3
 
0.4%
20191120 3
 
0.4%
20181004 3
 
0.4%
20201224 2
 
0.3%
20150925 2
 
0.3%
20190211 2
 
0.3%
20120201 2
 
0.3%
20151211 2
 
0.3%
20140529 1
 
0.1%
Other values (23) 23
 
3.0%
(Missing) 722
93.5%
ValueCountFrequency (%)
20090325 1
0.1%
20090806 1
0.1%
20091229 1
0.1%
20100118 1
0.1%
20100416 1
0.1%
20101112 1
0.1%
20110105 1
0.1%
20110207 1
0.1%
20110209 1
0.1%
20110628 1
0.1%
ValueCountFrequency (%)
20201224 2
 
0.3%
20191230 1
 
0.1%
20191220 1
 
0.1%
20191219 1
 
0.1%
20191203 7
0.9%
20191120 3
0.4%
20190211 2
 
0.3%
20181004 3
0.4%
20151211 2
 
0.3%
20150925 2
 
0.3%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
408 
3
281 
4
77 
2
 
6

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 (%)
1 408
52.8%
3 281
36.4%
4 77
 
10.0%
2 6
 
0.8%

Length

2024-04-18T04:20:45.633472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:45.708461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 408
52.8%
3 281
36.4%
4 77
 
10.0%
2 6
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업/정상
408 
폐업
281 
취소/말소/만료/정지/중지
77 
휴업
 
6

Length

Max length14
Median length5
Mean length4.7823834
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 408
52.8%
폐업 281
36.4%
취소/말소/만료/정지/중지 77
 
10.0%
휴업 6
 
0.8%

Length

2024-04-18T04:20:45.794653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:45.889949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 408
52.8%
폐업 281
36.4%
취소/말소/만료/정지/중지 77
 
10.0%
휴업 6
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.13601
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:45.970109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum34
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.1640698
Coefficient of variation (CV)0.7331234
Kurtosis0.95590473
Mean11.13601
Median Absolute Deviation (MAD)0
Skewness1.1061064
Sum8597
Variance66.652035
MonotonicityNot monotonic
2024-04-18T04:20:46.045996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 408
52.8%
3 279
36.1%
31 66
 
8.5%
30 11
 
1.4%
2 6
 
0.8%
34 2
 
0.3%
ValueCountFrequency (%)
2 6
 
0.8%
3 279
36.1%
13 408
52.8%
30 11
 
1.4%
31 66
 
8.5%
34 2
 
0.3%
ValueCountFrequency (%)
34 2
 
0.3%
31 66
 
8.5%
30 11
 
1.4%
13 408
52.8%
3 279
36.1%
2 6
 
0.8%
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업중
408 
폐업
279 
등록취소
66 
허가취소
 
11
휴업
 
6

Length

Max length5
Median length3
Mean length2.7357513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 408
52.8%
폐업 279
36.1%
등록취소 66
 
8.5%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

Length

2024-04-18T04:20:46.137624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:46.224843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 408
52.8%
폐업 279
36.1%
등록취소 66
 
8.5%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)94.6%
Missing493
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean20134901
Minimum20030106
Maximum20220627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:46.325035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20041012
Q120090972
median20140822
Q320171226
95-th percentile20210118
Maximum20220627
Range190521
Interquartile range (IQR)80254

Descriptive statistics

Standard deviation50591.144
Coefficient of variation (CV)0.0025126096
Kurtosis-0.88778958
Mean20134901
Median Absolute Deviation (MAD)39888
Skewness-0.30190983
Sum5.6176372 × 109
Variance2.5594639 × 109
MonotonicityNot monotonic
2024-04-18T04:20:46.435091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090602 2
 
0.3%
20161215 2
 
0.3%
20100407 2
 
0.3%
20030212 2
 
0.3%
20201102 2
 
0.3%
20080314 2
 
0.3%
20121203 2
 
0.3%
20160617 2
 
0.3%
20190131 2
 
0.3%
20110829 2
 
0.3%
Other values (254) 259
33.5%
(Missing) 493
63.9%
ValueCountFrequency (%)
20030106 1
0.1%
20030212 2
0.3%
20030227 1
0.1%
20030404 1
0.1%
20030429 1
0.1%
20030611 1
0.1%
20030614 1
0.1%
20030701 1
0.1%
20031231 1
0.1%
20040318 1
0.1%
ValueCountFrequency (%)
20220627 1
0.1%
20220615 1
0.1%
20220531 1
0.1%
20220126 1
0.1%
20211231 1
0.1%
20211015 1
0.1%
20211008 1
0.1%
20210928 1
0.1%
20210927 1
0.1%
20210924 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing766
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20107302
Minimum20020913
Maximum20211122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:46.528919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020913
5-th percentile20023388
Q120040663
median20110320
Q320157851
95-th percentile20198423
Maximum20211122
Range190209
Interquartile range (IQR)117188.25

Descriptive statistics

Standard deviation77639.352
Coefficient of variation (CV)0.0038612516
Kurtosis-2.0240327
Mean20107302
Median Absolute Deviation (MAD)64755.5
Skewness0.13144162
Sum1.2064381 × 108
Variance6.027869 × 109
MonotonicityNot monotonic
2024-04-18T04:20:46.610579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20150430 1
 
0.1%
20160325 1
 
0.1%
20211122 1
 
0.1%
20070210 1
 
0.1%
20030814 1
 
0.1%
20020913 1
 
0.1%
(Missing) 766
99.2%
ValueCountFrequency (%)
20020913 1
0.1%
20030814 1
0.1%
20070210 1
0.1%
20150430 1
0.1%
20160325 1
0.1%
20211122 1
0.1%
ValueCountFrequency (%)
20211122 1
0.1%
20160325 1
0.1%
20150430 1
0.1%
20070210 1
0.1%
20030814 1
0.1%
20020913 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing766
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20114239
Minimum20040813
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:46.702624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20040838
Q120048492
median20111131
Q320158452
95-th percentile20205621
Maximum20220520
Range179707
Interquartile range (IQR)109959

Descriptive statistics

Standard deviation74090.016
Coefficient of variation (CV)0.0036834611
Kurtosis-1.7067518
Mean20114239
Median Absolute Deviation (MAD)60006
Skewness0.35584717
Sum1.2068543 × 108
Variance5.4893305 × 109
MonotonicityNot monotonic
2024-04-18T04:20:46.802922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20151031 1
 
0.1%
20160925 1
 
0.1%
20220520 1
 
0.1%
20071231 1
 
0.1%
20040813 1
 
0.1%
20040913 1
 
0.1%
(Missing) 766
99.2%
ValueCountFrequency (%)
20040813 1
0.1%
20040913 1
0.1%
20071231 1
0.1%
20151031 1
0.1%
20160925 1
0.1%
20220520 1
0.1%
ValueCountFrequency (%)
20220520 1
0.1%
20160925 1
0.1%
20151031 1
0.1%
20071231 1
0.1%
20040913 1
0.1%
20040813 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Text

MISSING 

Distinct544
Distinct (%)98.4%
Missing219
Missing (%)28.4%
Memory size6.2 KiB
2024-04-18T04:20:46.996990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.797468
Min length7

Characters and Unicode

Total characters5971
Distinct characters16
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique535 ?
Unique (%)96.7%

Sample

1st row053-421-7470
2nd row424-2525
3rd row053-252-5454
4th row053-254-6885
5th row053-753-9400
ValueCountFrequency (%)
053 23
 
3.9%
053-421-5581 2
 
0.3%
053-421-1323 2
 
0.3%
053-639-7878 2
 
0.3%
053-254-6885 2
 
0.3%
053-422-9925 2
 
0.3%
1600-3031 2
 
0.3%
053-964-9911 2
 
0.3%
053-965-2884 2
 
0.3%
053-428-5350 2
 
0.3%
Other values (549) 549
93.1%
2024-04-18T04:20:47.292926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 906
15.2%
5 848
14.2%
- 799
13.4%
3 703
11.8%
2 595
10.0%
4 482
8.1%
1 371
6.2%
7 352
 
5.9%
6 339
 
5.7%
8 307
 
5.1%
Other values (6) 269
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5112
85.6%
Dash Punctuation 799
 
13.4%
Space Separator 37
 
0.6%
Close Punctuation 10
 
0.2%
Open Punctuation 7
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 906
17.7%
5 848
16.6%
3 703
13.8%
2 595
11.6%
4 482
9.4%
1 371
7.3%
7 352
 
6.9%
6 339
 
6.6%
8 307
 
6.0%
9 209
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 799
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5971
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 906
15.2%
5 848
14.2%
- 799
13.4%
3 703
11.8%
2 595
10.0%
4 482
8.1%
1 371
6.2%
7 352
 
5.9%
6 339
 
5.7%
8 307
 
5.1%
Other values (6) 269
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 906
15.2%
5 848
14.2%
- 799
13.4%
3 703
11.8%
2 595
10.0%
4 482
8.1%
1 371
6.2%
7 352
 
5.9%
6 339
 
5.7%
8 307
 
5.1%
Other values (6) 269
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)47.2%
Missing372
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean702196.64
Minimum700010
Maximum711835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:47.403951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700150
Q1700412
median700821
Q3704476
95-th percentile706820.2
Maximum711835
Range11825
Interquartile range (IQR)4064

Descriptive statistics

Standard deviation2400.9069
Coefficient of variation (CV)0.0034191376
Kurtosis0.71423552
Mean702196.64
Median Absolute Deviation (MAD)671
Skewness1.1726778
Sum2.8087865 × 108
Variance5764354.1
MonotonicityNot monotonic
2024-04-18T04:20:47.512668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700421 29
 
3.8%
700422 26
 
3.4%
700412 23
 
3.0%
700150 19
 
2.5%
700180 12
 
1.6%
700160 7
 
0.9%
700809 7
 
0.9%
700082 5
 
0.6%
700200 5
 
0.6%
700220 5
 
0.6%
Other values (179) 262
33.9%
(Missing) 372
48.2%
ValueCountFrequency (%)
700010 2
 
0.3%
700030 1
 
0.1%
700040 1
 
0.1%
700060 3
 
0.4%
700081 1
 
0.1%
700082 5
 
0.6%
700093 1
 
0.1%
700111 3
 
0.4%
700140 1
 
0.1%
700150 19
2.5%
ValueCountFrequency (%)
711835 1
 
0.1%
711834 1
 
0.1%
711815 1
 
0.1%
706962 1
 
0.1%
706852 1
 
0.1%
706844 2
0.3%
706839 1
 
0.1%
706836 2
0.3%
706834 1
 
0.1%
706833 3
0.4%
Distinct678
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-18T04:20:47.766585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length23.528497
Min length13

Characters and Unicode

Total characters18164
Distinct characters267
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)80.1%

Sample

1st row대구광역시 중구 동산동 788-5번지 407호
2nd row대구광역시 중구 삼덕동1가 61-1번지 3층
3rd row대구광역시 중구 공평동 10-5
4th row대구광역시 중구 공평동 98-3
5th row대구광역시 중구 동인동2가 55-5번지
ValueCountFrequency (%)
대구광역시 772
21.7%
중구 361
 
10.1%
달서구 102
 
2.9%
수성구 91
 
2.6%
동구 75
 
2.1%
북구 71
 
2.0%
동인동2가 57
 
1.6%
동인동1가 52
 
1.5%
2층 43
 
1.2%
공평동 37
 
1.0%
Other values (975) 1897
53.3%
2024-04-18T04:20:48.148400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3460
19.0%
1557
 
8.6%
1008
 
5.5%
1 971
 
5.3%
869
 
4.8%
795
 
4.4%
786
 
4.3%
775
 
4.3%
- 619
 
3.4%
2 612
 
3.4%
Other values (257) 6712
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10295
56.7%
Decimal Number 3751
 
20.7%
Space Separator 3460
 
19.0%
Dash Punctuation 619
 
3.4%
Uppercase Letter 20
 
0.1%
Other Punctuation 13
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1557
15.1%
1008
 
9.8%
869
 
8.4%
795
 
7.7%
786
 
7.6%
775
 
7.5%
400
 
3.9%
376
 
3.7%
364
 
3.5%
262
 
2.5%
Other values (230) 3103
30.1%
Decimal Number
ValueCountFrequency (%)
1 971
25.9%
2 612
16.3%
3 410
10.9%
0 324
 
8.6%
5 299
 
8.0%
4 271
 
7.2%
8 244
 
6.5%
7 235
 
6.3%
6 193
 
5.1%
9 192
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.0%
Y 3
15.0%
T 3
15.0%
I 3
15.0%
S 2
10.0%
D 2
10.0%
K 1
 
5.0%
B 1
 
5.0%
H 1
 
5.0%
A 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 2
 
15.4%
· 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 619
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10295
56.7%
Common 7849
43.2%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1557
15.1%
1008
 
9.8%
869
 
8.4%
795
 
7.7%
786
 
7.6%
775
 
7.5%
400
 
3.9%
376
 
3.7%
364
 
3.5%
262
 
2.5%
Other values (230) 3103
30.1%
Common
ValueCountFrequency (%)
3460
44.1%
1 971
 
12.4%
- 619
 
7.9%
2 612
 
7.8%
3 410
 
5.2%
0 324
 
4.1%
5 299
 
3.8%
4 271
 
3.5%
8 244
 
3.1%
7 235
 
3.0%
Other values (7) 404
 
5.1%
Latin
ValueCountFrequency (%)
C 3
15.0%
Y 3
15.0%
T 3
15.0%
I 3
15.0%
S 2
10.0%
D 2
10.0%
K 1
 
5.0%
B 1
 
5.0%
H 1
 
5.0%
A 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10295
56.7%
ASCII 7868
43.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3460
44.0%
1 971
 
12.3%
- 619
 
7.9%
2 612
 
7.8%
3 410
 
5.2%
0 324
 
4.1%
5 299
 
3.8%
4 271
 
3.4%
8 244
 
3.1%
7 235
 
3.0%
Other values (16) 423
 
5.4%
Hangul
ValueCountFrequency (%)
1557
15.1%
1008
 
9.8%
869
 
8.4%
795
 
7.7%
786
 
7.6%
775
 
7.5%
400
 
3.9%
376
 
3.7%
364
 
3.5%
262
 
2.5%
Other values (230) 3103
30.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct675
Distinct (%)89.6%
Missing19
Missing (%)2.5%
Memory size6.2 KiB
2024-04-18T04:20:48.425403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.839309
Min length19

Characters and Unicode

Total characters22469
Distinct characters305
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)82.5%

Sample

1st row대구광역시 중구 달구벌대로 2019, 407호 (동산동)
2nd row대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)
3rd row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
4th row대구광역시 중구 공평로 73-1 (공평동)
5th row대구광역시 중구 경상감영길 226 (동문동)
ValueCountFrequency (%)
대구광역시 753
 
16.8%
중구 358
 
8.0%
달서구 101
 
2.3%
수성구 91
 
2.0%
2층 89
 
2.0%
동구 75
 
1.7%
국채보상로 73
 
1.6%
경상감영길 64
 
1.4%
북구 56
 
1.3%
동인동2가 55
 
1.2%
Other values (1055) 2763
61.7%
2024-04-18T04:20:48.817320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3849
 
17.1%
1609
 
7.2%
1126
 
5.0%
980
 
4.4%
1 818
 
3.6%
780
 
3.5%
770
 
3.4%
760
 
3.4%
) 745
 
3.3%
( 745
 
3.3%
Other values (295) 10287
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12821
57.1%
Space Separator 3849
 
17.1%
Decimal Number 3621
 
16.1%
Close Punctuation 745
 
3.3%
Open Punctuation 745
 
3.3%
Other Punctuation 565
 
2.5%
Dash Punctuation 99
 
0.4%
Uppercase Letter 23
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1609
 
12.5%
1126
 
8.8%
980
 
7.6%
780
 
6.1%
770
 
6.0%
760
 
5.9%
698
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5186
40.4%
Decimal Number
ValueCountFrequency (%)
1 818
22.6%
2 713
19.7%
3 388
10.7%
0 348
9.6%
5 338
9.3%
4 264
 
7.3%
6 229
 
6.3%
7 210
 
5.8%
8 160
 
4.4%
9 153
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
13.0%
C 3
13.0%
Y 3
13.0%
T 3
13.0%
I 3
13.0%
S 2
8.7%
H 2
8.7%
D 2
8.7%
K 1
 
4.3%
B 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 562
99.5%
/ 2
 
0.4%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3849
100.0%
Close Punctuation
ValueCountFrequency (%)
) 745
100.0%
Open Punctuation
ValueCountFrequency (%)
( 745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12821
57.1%
Common 9624
42.8%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1609
 
12.5%
1126
 
8.8%
980
 
7.6%
780
 
6.1%
770
 
6.0%
760
 
5.9%
698
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5186
40.4%
Common
ValueCountFrequency (%)
3849
40.0%
1 818
 
8.5%
) 745
 
7.7%
( 745
 
7.7%
2 713
 
7.4%
, 562
 
5.8%
3 388
 
4.0%
0 348
 
3.6%
5 338
 
3.5%
4 264
 
2.7%
Other values (7) 854
 
8.9%
Latin
ValueCountFrequency (%)
A 3
12.5%
C 3
12.5%
Y 3
12.5%
T 3
12.5%
I 3
12.5%
S 2
8.3%
H 2
8.3%
D 2
8.3%
K 1
 
4.2%
B 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12821
57.1%
ASCII 9647
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3849
39.9%
1 818
 
8.5%
) 745
 
7.7%
( 745
 
7.7%
2 713
 
7.4%
, 562
 
5.8%
3 388
 
4.0%
0 348
 
3.6%
5 338
 
3.5%
4 264
 
2.7%
Other values (17) 877
 
9.1%
Hangul
ValueCountFrequency (%)
1609
 
12.5%
1126
 
8.8%
980
 
7.6%
780
 
6.1%
770
 
6.0%
760
 
5.9%
698
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5186
40.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct322
Distinct (%)53.9%
Missing175
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean116022.69
Minimum41026
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:48.926885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41149.8
Q141911
median41946
Q342620
95-th percentile700837.2
Maximum711815
Range670789
Interquartile range (IQR)709

Descriptive statistics

Standard deviation208370
Coefficient of variation (CV)1.7959418
Kurtosis4.0812862
Mean116022.69
Median Absolute Deviation (MAD)310
Skewness2.4632248
Sum69265546
Variance4.3418057 × 1010
MonotonicityNot monotonic
2024-04-18T04:20:49.238731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 33
 
4.3%
41914 27
 
3.5%
41913 19
 
2.5%
41940 14
 
1.8%
41938 13
 
1.7%
42672 9
 
1.2%
41908 8
 
1.0%
41934 7
 
0.9%
41953 7
 
0.9%
41912 7
 
0.9%
Other values (312) 453
58.7%
(Missing) 175
 
22.7%
ValueCountFrequency (%)
41026 1
0.1%
41029 1
0.1%
41052 1
0.1%
41065 2
0.3%
41066 1
0.1%
41067 1
0.1%
41069 2
0.3%
41072 1
0.1%
41083 1
0.1%
41084 1
0.1%
ValueCountFrequency (%)
711815 1
0.1%
706140 1
0.1%
705837 1
0.1%
704920 1
0.1%
704863 1
0.1%
704830 1
0.1%
704825 1
0.1%
704817 1
0.1%
704200 1
0.1%
703845 1
0.1%
Distinct764
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-18T04:20:49.443049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.4443005
Min length2

Characters and Unicode

Total characters6519
Distinct characters412
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique756 ?
Unique (%)97.9%

Sample

1st row(주)대구대한여행사
2nd row(주)토마토투어
3rd row(주)스마일투어
4th row대구네티즌투어(주)
5th row(주)라이프여행사
ValueCountFrequency (%)
주식회사 50
 
5.5%
투어 15
 
1.6%
여행사 11
 
1.2%
9
 
1.0%
tour 4
 
0.4%
여행 3
 
0.3%
주)대구여행사 2
 
0.2%
오로라 2
 
0.2%
넘버원 2
 
0.2%
주)여행하는 2
 
0.2%
Other values (803) 815
89.1%
2024-04-18T04:20:49.748537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
9.4%
( 557
 
8.5%
) 557
 
8.5%
366
 
5.6%
362
 
5.6%
344
 
5.3%
257
 
3.9%
252
 
3.9%
143
 
2.2%
129
 
2.0%
Other values (402) 2940
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5159
79.1%
Open Punctuation 557
 
8.5%
Close Punctuation 557
 
8.5%
Space Separator 143
 
2.2%
Uppercase Letter 58
 
0.9%
Lowercase Letter 30
 
0.5%
Decimal Number 9
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
612
 
11.9%
366
 
7.1%
362
 
7.0%
344
 
6.7%
257
 
5.0%
252
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2563
49.7%
Uppercase Letter
ValueCountFrequency (%)
T 7
12.1%
U 6
 
10.3%
O 6
 
10.3%
A 4
 
6.9%
R 4
 
6.9%
E 4
 
6.9%
Y 3
 
5.2%
D 3
 
5.2%
S 3
 
5.2%
B 2
 
3.4%
Other values (12) 16
27.6%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.3%
e 4
13.3%
o 3
10.0%
a 3
10.0%
i 3
10.0%
t 3
10.0%
u 2
6.7%
l 2
6.7%
n 2
6.7%
g 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 2
22.2%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
" 2
40.0%
& 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 557
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5159
79.1%
Common 1272
 
19.5%
Latin 88
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
612
 
11.9%
366
 
7.1%
362
 
7.0%
344
 
6.7%
257
 
5.0%
252
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2563
49.7%
Latin
ValueCountFrequency (%)
T 7
 
8.0%
U 6
 
6.8%
O 6
 
6.8%
A 4
 
4.5%
R 4
 
4.5%
E 4
 
4.5%
r 4
 
4.5%
e 4
 
4.5%
Y 3
 
3.4%
D 3
 
3.4%
Other values (25) 43
48.9%
Common
ValueCountFrequency (%)
( 557
43.8%
) 557
43.8%
143
 
11.2%
1 4
 
0.3%
2 3
 
0.2%
8 2
 
0.2%
. 2
 
0.2%
" 2
 
0.2%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5159
79.1%
ASCII 1360
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
612
 
11.9%
366
 
7.1%
362
 
7.0%
344
 
6.7%
257
 
5.0%
252
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2563
49.7%
ASCII
ValueCountFrequency (%)
( 557
41.0%
) 557
41.0%
143
 
10.5%
T 7
 
0.5%
U 6
 
0.4%
O 6
 
0.4%
A 4
 
0.3%
R 4
 
0.3%
E 4
 
0.3%
r 4
 
0.3%
Other values (35) 68
 
5.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.017319 × 1013
Minimum2.0030217 × 1013
Maximum2.0220628 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:49.858258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030217 × 1013
5-th percentile2.0070533 × 1013
Q12.0140901 × 1013
median2.0200313 × 1013
Q32.0210722 × 1013
95-th percentile2.0220418 × 1013
Maximum2.0220628 × 1013
Range1.9041098 × 1011
Interquartile range (IQR)6.9821217 × 1010

Descriptive statistics

Standard deviation5.0841861 × 1010
Coefficient of variation (CV)0.0025202688
Kurtosis-0.0031662896
Mean2.017319 × 1013
Median Absolute Deviation (MAD)1.981303 × 1010
Skewness-1.0977371
Sum1.5573703 × 1016
Variance2.5848949 × 1021
MonotonicityNot monotonic
2024-04-18T04:20:49.967975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121011201329 1
 
0.1%
20190628094134 1
 
0.1%
20180413155924 1
 
0.1%
20161202102317 1
 
0.1%
20160411143229 1
 
0.1%
20150522173315 1
 
0.1%
20170426175233 1
 
0.1%
20171010132817 1
 
0.1%
20180205144641 1
 
0.1%
20170216102017 1
 
0.1%
Other values (762) 762
98.7%
ValueCountFrequency (%)
20030217115530 1
0.1%
20030217115711 1
0.1%
20030228101549 1
0.1%
20030702172455 1
0.1%
20030806142454 1
0.1%
20030819092258 1
0.1%
20040423160323 1
0.1%
20040819141623 1
0.1%
20041012182218 1
0.1%
20041013151356 1
0.1%
ValueCountFrequency (%)
20220628100348 1
0.1%
20220627152624 1
0.1%
20220627135431 1
0.1%
20220623092154 1
0.1%
20220622135054 1
0.1%
20220622103031 1
0.1%
20220617164900 1
0.1%
20220617151651 1
0.1%
20220617145050 1
0.1%
20220617104127 1
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
U
432 
I
340 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 432
56.0%
I 340
44.0%

Length

2024-04-18T04:20:50.074481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:50.160988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 432
56.0%
i 340
44.0%
Distinct277
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-30 00:22:30
2024-04-18T04:20:50.243740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:20:50.350663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct556
Distinct (%)72.7%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean344101.97
Minimum328157.44
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:50.453224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328157.44
5-th percentile337578.93
Q1343053.94
median344455.12
Q3345114.92
95-th percentile352273.93
Maximum357888.72
Range29731.286
Interquartile range (IQR)2060.9807

Descriptive statistics

Standard deviation3887.0394
Coefficient of variation (CV)0.011296185
Kurtosis2.3548729
Mean344101.97
Median Absolute Deviation (MAD)1084.7427
Skewness0.09716727
Sum2.6323801 × 108
Variance15109076
MonotonicityNot monotonic
2024-04-18T04:20:50.550386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136454 22
 
2.8%
344686.259338 19
 
2.5%
344605.619674 10
 
1.3%
344417.802132 10
 
1.3%
340608.886881 8
 
1.0%
344204.522469 6
 
0.8%
344513.06466 6
 
0.8%
344532.26916 5
 
0.6%
344633.379801 5
 
0.6%
343313.168269 5
 
0.6%
Other values (546) 669
86.7%
(Missing) 7
 
0.9%
ValueCountFrequency (%)
328157.437875 1
0.1%
329632.740897 1
0.1%
330718.446519 1
0.1%
332021.019234 1
0.1%
332391.154209 1
0.1%
332426.0567 1
0.1%
334458.087365 1
0.1%
334461.497981 1
0.1%
334671.998718 1
0.1%
334703.341974 2
0.3%
ValueCountFrequency (%)
357888.724162 1
0.1%
356411.615245 1
0.1%
356362.215228 1
0.1%
356326.911677 1
0.1%
355939.362329 1
0.1%
355857.357218 1
0.1%
355648.433221 2
0.3%
355488.681042 1
0.1%
355214.965365 1
0.1%
354938.181777 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct556
Distinct (%)72.7%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263842.26
Minimum241417.36
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:50.667473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241417.36
5-th percentile259112.69
Q1262915.71
median264334.82
Q3264652.64
95-th percentile267857.57
Maximum272714.08
Range31296.729
Interquartile range (IQR)1736.9292

Descriptive statistics

Standard deviation2627.2585
Coefficient of variation (CV)0.0099576864
Kurtosis12.014894
Mean263842.26
Median Absolute Deviation (MAD)785.33479
Skewness-1.2388482
Sum2.0183933 × 108
Variance6902487.2
MonotonicityNot monotonic
2024-04-18T04:20:50.772480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.838876 22
 
2.8%
263958.880864 19
 
2.5%
264770.297911 10
 
1.3%
264430.537922 10
 
1.3%
262318.248215 8
 
1.0%
265028.313376 6
 
0.8%
264505.89139 6
 
0.8%
264500.858933 5
 
0.6%
264504.727592 5
 
0.6%
264265.370229 5
 
0.6%
Other values (546) 669
86.7%
(Missing) 7
 
0.9%
ValueCountFrequency (%)
241417.355358 1
0.1%
244734.409663 1
0.1%
252113.071997 1
0.1%
256670.659942 2
0.3%
256876.0 1
0.1%
256958.875428 1
0.1%
257144.903991 2
0.3%
257571.312586 1
0.1%
257667.946453 2
0.3%
257798.90222 1
0.1%
ValueCountFrequency (%)
272714.084452 1
0.1%
272684.9619 1
0.1%
272600.063881 1
0.1%
272504.525242 1
0.1%
272458.21411 1
0.1%
272441.576799 1
0.1%
272431.249957 1
0.1%
272288.787578 1
0.1%
272277.564167 1
0.1%
271301.184346 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
국내외여행업
772 

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 772
100.0%

Length

2024-04-18T04:20:50.865921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:50.934368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 772
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
409 
관광사업
363 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 409
53.0%
관광사업 363
47.0%

Length

2024-04-18T04:20:51.003537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:51.074997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 409
53.0%
관광사업 363
47.0%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
719 
일반주거지역
 
19
근린상업지역
 
12
상업지역
 
8
일반상업지역
 
6
Other values (4)
 
8

Length

Max length6
Median length4
Mean length4.111399
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 719
93.1%
일반주거지역 19
 
2.5%
근린상업지역 12
 
1.6%
상업지역 8
 
1.0%
일반상업지역 6
 
0.8%
중심상업지역 4
 
0.5%
준주거지역 2
 
0.3%
주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

Length

2024-04-18T04:20:51.164258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:51.262614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 719
93.1%
일반주거지역 19
 
2.5%
근린상업지역 12
 
1.6%
상업지역 8
 
1.0%
일반상업지역 6
 
0.8%
중심상업지역 4
 
0.5%
준주거지역 2
 
0.3%
주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)6.9%
Missing555
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean3.0460829
Minimum0
Maximum402
Zeros157
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:51.350618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum402
Range402
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.33448
Coefficient of variation (CV)8.9736492
Kurtosis212.96067
Mean3.0460829
Median Absolute Deviation (MAD)0
Skewness14.528404
Sum661
Variance747.17379
MonotonicityNot monotonic
2024-04-18T04:20:51.435395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 157
 
20.3%
3 13
 
1.7%
5 10
 
1.3%
2 10
 
1.3%
1 8
 
1.0%
4 6
 
0.8%
6 3
 
0.4%
10 2
 
0.3%
12 2
 
0.3%
13 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 555
71.9%
ValueCountFrequency (%)
0 157
20.3%
1 8
 
1.0%
2 10
 
1.3%
3 13
 
1.7%
4 6
 
0.8%
5 10
 
1.3%
6 3
 
0.4%
7 1
 
0.1%
8 1
 
0.1%
10 2
 
0.3%
ValueCountFrequency (%)
402 1
 
0.1%
17 1
 
0.1%
13 1
 
0.1%
12 2
 
0.3%
11 1
 
0.1%
10 2
 
0.3%
8 1
 
0.1%
7 1
 
0.1%
6 3
 
0.4%
5 10
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
748 
기타
 
13
아파트지역
 
5
주택가주변
 
4
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9857513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 748
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

Length

2024-04-18T04:20:51.533911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:51.618647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 748
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

보험기관명
Text

MISSING 

Distinct246
Distinct (%)42.2%
Missing189
Missing (%)24.5%
Memory size6.2 KiB
2024-04-18T04:20:51.869314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.240137
Min length4

Characters and Unicode

Total characters7136
Distinct characters47
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)39.5%

Sample

1st row서울보증보험 504-85-15620
2nd row서울보증보험 504-86-11037
3rd row서울보증보험 504-86-12263
4th row서울보증보험 504-81-69311
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 310
35.6%
관광협회 78
 
9.0%
한국관광협회중앙회 74
 
8.5%
여행공제회 58
 
6.7%
서울보증보험주식회사 40
 
4.6%
한국관광협회 21
 
2.4%
관광공제회 20
 
2.3%
대구광역시관광협회 7
 
0.8%
관광협회공제 6
 
0.7%
서울보증보험(주 4
 
0.5%
Other values (240) 252
29.0%
2024-04-18T04:20:52.250513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
 
10.2%
- 448
 
6.3%
0 410
 
5.7%
409
 
5.7%
367
 
5.1%
367
 
5.1%
367
 
5.1%
363
 
5.1%
1 333
 
4.7%
8 315
 
4.4%
Other values (37) 3027
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4113
57.6%
Decimal Number 2258
31.6%
Dash Punctuation 448
 
6.3%
Space Separator 287
 
4.0%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Uppercase Letter 6
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
730
17.7%
409
9.9%
367
8.9%
367
8.9%
367
8.9%
363
8.8%
233
 
5.7%
221
 
5.4%
202
 
4.9%
101
 
2.5%
Other values (19) 753
18.3%
Decimal Number
ValueCountFrequency (%)
0 410
18.2%
1 333
14.7%
8 315
14.0%
5 296
13.1%
4 230
10.2%
6 166
7.4%
2 150
 
6.6%
3 133
 
5.9%
7 118
 
5.2%
9 107
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4113
57.6%
Common 3017
42.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
730
17.7%
409
9.9%
367
8.9%
367
8.9%
367
8.9%
363
8.8%
233
 
5.7%
221
 
5.4%
202
 
4.9%
101
 
2.5%
Other values (19) 753
18.3%
Common
ValueCountFrequency (%)
- 448
14.8%
0 410
13.6%
1 333
11.0%
8 315
10.4%
5 296
9.8%
287
9.5%
4 230
7.6%
6 166
 
5.5%
2 150
 
5.0%
3 133
 
4.4%
Other values (5) 249
8.3%
Latin
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4113
57.6%
ASCII 3023
42.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
730
17.7%
409
9.9%
367
8.9%
367
8.9%
367
8.9%
363
8.8%
233
 
5.7%
221
 
5.4%
202
 
4.9%
101
 
2.5%
Other values (19) 753
18.3%
ASCII
ValueCountFrequency (%)
- 448
14.8%
0 410
13.6%
1 333
11.0%
8 315
10.4%
5 296
9.8%
287
9.5%
4 230
7.6%
6 166
 
5.5%
2 150
 
5.0%
3 133
 
4.4%
Other values (8) 255
8.4%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
705 
근린생활시설
 
48
사무실
 
12
유통시설
 
3
위험물저장시설
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length4.1165803
Min length3

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 705
91.3%
근린생활시설 48
 
6.2%
사무실 12
 
1.6%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
농어가주택 1
 
0.1%

Length

2024-04-18T04:20:52.369985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:52.468180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 705
91.3%
근린생활시설 48
 
6.2%
사무실 12
 
1.6%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
농어가주택 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)6.6%
Missing545
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean1.1982379
Minimum0
Maximum21
Zeros156
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:52.556570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8017688
Coefficient of variation (CV)2.3382409
Kurtosis21.816411
Mean1.1982379
Median Absolute Deviation (MAD)0
Skewness4.1301252
Sum272
Variance7.8499084
MonotonicityNot monotonic
2024-04-18T04:20:52.640987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 156
 
20.2%
2 19
 
2.5%
1 16
 
2.1%
3 10
 
1.3%
4 9
 
1.2%
5 6
 
0.8%
10 2
 
0.3%
6 2
 
0.3%
20 1
 
0.1%
21 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 545
70.6%
ValueCountFrequency (%)
0 156
20.2%
1 16
 
2.1%
2 19
 
2.5%
3 10
 
1.3%
4 9
 
1.2%
5 6
 
0.8%
6 2
 
0.3%
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
 
0.3%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 2
 
0.3%
5 6
0.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
585 
0
167 
1
 
14
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.2733161
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> 585
75.8%
0 167
 
21.6%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

Length

2024-04-18T04:20:52.736277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:52.819871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 585
75.8%
0 167
 
21.6%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:52.911906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:52.991842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:53.074207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:53.154373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

영문상호명
Text

MISSING 

Distinct331
Distinct (%)100.0%
Missing441
Missing (%)57.1%
Memory size6.2 KiB
2024-04-18T04:20:53.408377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length19.909366
Min length3

Characters and Unicode

Total characters6590
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique331 ?
Unique (%)100.0%

Sample

1st rowTOMATO TOUR CO.,LTD
2nd rowSMILE TOUR CO.,LTD
3rd rowDAEGU NETIZENTOUR CO.,LTD
4th rowHESSED TOUR CO.,LTD
5th rowTRAVEL & PEOPLE CO.,LTD
ValueCountFrequency (%)
tour 164
 
14.5%
co.,ltd 135
 
11.9%
ltd 92
 
8.1%
co 91
 
8.1%
travel 86
 
7.6%
world 16
 
1.4%
daegu 15
 
1.3%
co.ltd 13
 
1.2%
air 13
 
1.2%
agency 11
 
1.0%
Other values (376) 494
43.7%
2024-04-18T04:20:53.791310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
801
 
12.2%
O 554
 
8.4%
T 548
 
8.3%
L 414
 
6.3%
R 370
 
5.6%
A 308
 
4.7%
C 308
 
4.7%
E 296
 
4.5%
. 288
 
4.4%
D 287
 
4.4%
Other values (50) 2416
36.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4509
68.4%
Space Separator 801
 
12.2%
Lowercase Letter 730
 
11.1%
Other Punctuation 516
 
7.8%
Dash Punctuation 16
 
0.2%
Decimal Number 10
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 554
12.3%
T 548
12.2%
L 414
9.2%
R 370
 
8.2%
A 308
 
6.8%
C 308
 
6.8%
E 296
 
6.6%
D 287
 
6.4%
U 267
 
5.9%
N 196
 
4.3%
Other values (15) 961
21.3%
Lowercase Letter
ValueCountFrequency (%)
o 113
15.5%
t 79
10.8%
e 64
8.8%
r 64
8.8%
a 59
8.1%
d 55
7.5%
n 49
 
6.7%
u 45
 
6.2%
l 34
 
4.7%
i 33
 
4.5%
Other values (14) 135
18.5%
Other Punctuation
ValueCountFrequency (%)
. 288
55.8%
, 218
42.2%
& 9
 
1.7%
' 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
2 2
 
20.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
801
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5239
79.5%
Common 1351
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 554
 
10.6%
T 548
 
10.5%
L 414
 
7.9%
R 370
 
7.1%
A 308
 
5.9%
C 308
 
5.9%
E 296
 
5.6%
D 287
 
5.5%
U 267
 
5.1%
N 196
 
3.7%
Other values (39) 1691
32.3%
Common
ValueCountFrequency (%)
801
59.3%
. 288
 
21.3%
, 218
 
16.1%
- 16
 
1.2%
& 9
 
0.7%
1 7
 
0.5%
( 4
 
0.3%
) 4
 
0.3%
2 2
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
801
 
12.2%
O 554
 
8.4%
T 548
 
8.3%
L 414
 
6.3%
R 370
 
5.6%
A 308
 
4.7%
C 308
 
4.7%
E 296
 
4.5%
. 288
 
4.4%
D 287
 
4.4%
Other values (50) 2416
36.7%

영문상호주소
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
444 
Overseas travel business
174 
Overseas Travel Agency
65 
Overseas Travel business
 
38
Domestic and Overseas travel business
 
16
Other values (15)
 
35

Length

Max length43
Median length4
Mean length12.65544
Min length4

Unique

Unique10 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 444
57.5%
Overseas travel business 174
 
22.5%
Overseas Travel Agency 65
 
8.4%
Overseas Travel business 38
 
4.9%
Domestic and Overseas travel business 16
 
2.1%
OVERSEAS TRAVEL AGENCY 13
 
1.7%
Domestic & Overseas Travel Business 4
 
0.5%
Overseas Travel Business 4
 
0.5%
Overseas Travel agency 2
 
0.3%
overseas travel agency 2
 
0.3%
Other values (10) 10
 
1.3%

Length

2024-04-18T04:20:53.900613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 444
30.2%
travel 327
22.2%
overseas 322
21.9%
business 239
16.2%
agency 87
 
5.9%
domestic 22
 
1.5%
and 16
 
1.1%
5
 
0.3%
domestic&overseas 2
 
0.1%
ageny 1
 
0.1%
Other values (6) 6
 
0.4%

선박총톤수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:53.995810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:54.072548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:54.153094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:54.230332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:54.317564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:54.392508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:54.477305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:54.792085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:54.871124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:54.955016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)32.0%
Missing544
Missing (%)70.5%
Infinite0
Infinite (%)0.0%
Mean60.102149
Minimum0
Maximum5980.8
Zeros145
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:55.039238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336.93
95-th percentile136.3
Maximum5980.8
Range5980.8
Interquartile range (IQR)36.93

Descriptive statistics

Standard deviation404.62536
Coefficient of variation (CV)6.7322944
Kurtosis204.43124
Mean60.102149
Median Absolute Deviation (MAD)0
Skewness13.984029
Sum13703.29
Variance163721.69
MonotonicityNot monotonic
2024-04-18T04:20:55.139312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 145
 
18.8%
66.0 4
 
0.5%
33.0 3
 
0.4%
19.8 2
 
0.3%
49.5 2
 
0.3%
99.0 2
 
0.3%
99.17 2
 
0.3%
10.0 2
 
0.3%
36.57 2
 
0.3%
121.28 1
 
0.1%
Other values (63) 63
 
8.2%
(Missing) 544
70.5%
ValueCountFrequency (%)
0.0 145
18.8%
1.0 1
 
0.1%
3.3 1
 
0.1%
8.26 1
 
0.1%
9.9 1
 
0.1%
10.0 2
 
0.3%
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 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
599 
0
173 

Length

Max length4
Median length4
Mean length3.3277202
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> 599
77.6%
0 173
 
22.4%

Length

2024-04-18T04:20:55.241024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:55.318916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 599
77.6%
0 173
 
22.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
771 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0051813
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> 771
99.9%
20150101 1
 
0.1%

Length

2024-04-18T04:20:55.403218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:55.481474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 771
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
771 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0051813
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> 771
99.9%
20151231 1
 
0.1%

Length

2024-04-18T04:20:55.565649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:20:55.647681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 771
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)10.3%
Missing192
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean95402568
Minimum0
Maximum1.8854 × 109
Zeros35
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:55.732976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.5 × 108
Maximum1.8854 × 109
Range1.8854 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.2264986 × 108
Coefficient of variation (CV)1.2856034
Kurtosis118.90553
Mean95402568
Median Absolute Deviation (MAD)40000000
Skewness9.7414138
Sum5.533349 × 1010
Variance1.5042989 × 1016
MonotonicityNot monotonic
2024-04-18T04:20:55.842206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 210
27.2%
60000000 100
13.0%
150000000 50
 
6.5%
90000000 45
 
5.8%
0 35
 
4.5%
30000000 31
 
4.0%
50000000 17
 
2.2%
70000000 13
 
1.7%
45000000 11
 
1.4%
200000000 6
 
0.8%
Other values (50) 62
 
8.0%
(Missing) 192
24.9%
ValueCountFrequency (%)
0 35
4.5%
100 1
 
0.1%
6000 1
 
0.1%
600000 1
 
0.1%
10000000 4
 
0.5%
30000000 31
4.0%
30089983 1
 
0.1%
30275046 1
 
0.1%
31449793 1
 
0.1%
32140000 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)

MISSING 

Distinct574
Distinct (%)87.8%
Missing118
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean20174353
Minimum20020313
Maximum20220622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:55.968475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080279
Q120151107
median20191102
Q320210321
95-th percentile20220210
Maximum20220622
Range200309
Interquartile range (IQR)59214.25

Descriptive statistics

Standard deviation45709.536
Coefficient of variation (CV)0.002265725
Kurtosis1.1387154
Mean20174353
Median Absolute Deviation (MAD)19525
Skewness-1.3631156
Sum1.3194027 × 1010
Variance2.0893616 × 109
MonotonicityNot monotonic
2024-04-18T04:20:56.081114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210601 9
 
1.2%
20210608 6
 
0.8%
20200401 4
 
0.5%
20210607 3
 
0.4%
20200701 3
 
0.4%
20210604 3
 
0.4%
20200818 3
 
0.4%
20210311 3
 
0.4%
20210909 3
 
0.4%
20210501 3
 
0.4%
Other values (564) 614
79.5%
(Missing) 118
 
15.3%
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 (%)
20220622 1
0.1%
20220616 1
0.1%
20220611 1
0.1%
20220610 2
0.3%
20220609 2
0.3%
20220608 1
0.1%
20220607 1
0.1%
20220602 1
0.1%
20220528 1
0.1%
20220524 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct580
Distinct (%)88.7%
Missing118
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean20184764
Minimum20030313
Maximum20231118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:56.193158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090322
Q120161040
median20201114
Q320220404
95-th percentile20230225
Maximum20231118
Range200805
Interquartile range (IQR)59364.25

Descriptive statistics

Standard deviation45858.218
Coefficient of variation (CV)0.0022719224
Kurtosis1.1311197
Mean20184764
Median Absolute Deviation (MAD)19552.5
Skewness-1.363756
Sum1.3200836 × 1010
Variance2.1029762 × 109
MonotonicityNot monotonic
2024-04-18T04:20:56.308917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 9
 
1.2%
20220607 4
 
0.5%
20220430 3
 
0.4%
20220608 3
 
0.4%
20210331 3
 
0.4%
20220909 3
 
0.4%
20220310 3
 
0.4%
20220604 3
 
0.4%
20220127 3
 
0.4%
20190630 2
 
0.3%
Other values (570) 618
80.1%
(Missing) 118
 
15.3%
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 (%)
20231118 1
0.1%
20230706 1
0.1%
20230622 1
0.1%
20230616 1
0.1%
20230611 1
0.1%
20230610 2
0.3%
20230609 2
0.3%
20230608 1
0.1%
20230607 1
0.1%
20230602 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing772
Missing (%)100.0%
Memory size6.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)25.4%
Missing544
Missing (%)70.5%
Infinite0
Infinite (%)0.0%
Mean60.127193
Minimum0
Maximum5981
Zeros145
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T04:20:56.427882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q337.25
95-th percentile136.4
Maximum5981
Range5981
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation404.64147
Coefficient of variation (CV)6.7297582
Kurtosis204.4228
Mean60.127193
Median Absolute Deviation (MAD)0
Skewness13.983621
Sum13709
Variance163734.72
MonotonicityNot monotonic
2024-04-18T04:20:56.534069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
18.8%
99 4
 
0.5%
66 4
 
0.5%
50 3
 
0.4%
33 3
 
0.4%
10 3
 
0.4%
20 3
 
0.4%
34 2
 
0.3%
62 2
 
0.3%
46 2
 
0.3%
Other values (48) 57
 
7.4%
(Missing) 544
70.5%
ValueCountFrequency (%)
0 145
18.8%
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
 
0.3%
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_P3410000CDFI226002199300000219931206201208244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-421-7470<NA>700310대구광역시 중구 동산동 788-5번지 407호대구광역시 중구 달구벌대로 2019, 407호 (동산동)700821(주)대구대한여행사20121011201329I2018-08-31 23:59:59.0<NA>343056.050284264019.896911국내외여행업관광사업<NA><NA><NA><NA><NA><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>
12국내외여행업03_12_02_P3410000CDFI226002201400001620140822201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>424-2525<NA>700411대구광역시 중구 삼덕동1가 61-1번지 3층대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)41941(주)토마토투어20190211094616U2019-02-13 02:40:00.0<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>
23국내외여행업03_12_02_P3410000CDFI226002201400000120140103201912034취소/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)스마일투어20191203134140U2019-12-06 02:40:00.0<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>
34국내외여행업03_12_02_P3410000CDFI226002201400000420140227202012244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-254-6885<NA>700150대구광역시 중구 공평동 98-3대구광역시 중구 공평로 73-1 (공평동)41913대구네티즌투어(주)20201224175053U2020-12-26 02:40:00.0<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>
45국내외여행업03_12_02_P3410000CDFI226002200500000620050503<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-753-9400<NA>700422대구광역시 중구 동인동2가 55-5번지<NA><NA>(주)라이프여행사20110620121714I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002008090320090902<NA><NA>
56국내외여행업03_12_02_P3410000CDFI226002200600000120060124<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>700180대구광역시 중구 동문동 13-11번지대구광역시 중구 경상감영길 226 (동문동)<NA>(주)나비여행사20080318144453I2018-08-31 23:59:59.0<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>
67국내외여행업03_12_02_P3410000CDFI226002201800001320180626201912034취소/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)헤세드투어20191203135412U2019-12-06 02:40:00.0<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>
78국내외여행업03_12_02_P3410000CDFI226002200400002120041012<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>700160대구광역시 중구 문화동 11-4번지대구광역시 중구 국채보상로 607 (문화동)<NA>(주)위즈투어20041012182218I2018-08-31 23:59:59.0<NA>344172.855741264578.929395국내외여행업관광사업<NA>5<NA><NA><NA>근린생활시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
89국내외여행업03_12_02_P3410000CDFI226002200600002320061129201509254취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>1544-3647<NA><NA>대구광역시 중구 동문동 13-11번지대구광역시 중구 경상감영길 226 (동문동)41913(주)대구여행사 하나로투어스 닷컴20151007140200I2018-08-31 23:59:59.0<NA>344388.717202264646.125439국내외여행업관광사업<NA><NA><NA><NA>서울보증보험 504-81-69311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002015012020160119<NA><NA>
910국내외여행업03_12_02_P3410000CDFI226002200600002520061226201507314취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>256-2298<NA>700081대구광역시 중구 계산동1가 46번지대구광역시 중구 국채보상로 512 (계산동1가)41932(주)원월드투어20150811112337I2018-08-31 23:59:59.0<NA>343218.606648264466.441082국내외여행업관광사업<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>1000000002013030720140306<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
762763국내외여행업03_12_02_P3480000CDFI226002200000000120000629<NA>1영업/정상13영업중<NA><NA><NA><NA>0536329998<NA><NA>대구광역시 달성군 화원읍 천내리 918번지 화원이진캐스빌 110동 203호대구광역시 달성군 화원읍 비슬로 2545, 110동 203호 (화원이진캐스빌)42947오성항공여행사(주)20190620172238U2019-06-22 02:40:00.0<NA>335089.0256876.0국내외여행업관광사업<NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>142.15<NA><NA><NA><NA><NA><NA><NA><NA>1500000002019062820200628<NA>142
763764국내외여행업03_12_02_P3480000CDFI226002201000000120101109<NA>1영업/정상13영업중<NA><NA><NA><NA>616-7788<NA><NA>대구광역시 달성군 현풍면 하리 242-6번지대구광역시 달성군 현풍면 현풍중앙로10길 1243005(주)코리아항공여행사20171214092243I2018-08-31 23:59:59.0<NA>330718.446519244734.409663국내외여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002016111920171118<NA><NA>
764765국내외여행업03_12_02_P3480000CDFI226002201100000120111226<NA>1영업/정상13영업중<NA><NA><NA><NA>593-7711<NA>711815대구광역시 달성군 다사읍 죽곡리 6-3번지대구광역시 달성군 다사읍 다사로 2711815(주)아리랑투어20170512133920I2018-08-31 23:59:59.0<NA>332021.019234263376.885825국내외여행업<NA><NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.0<NA><NA><NA><NA><NA><NA><NA><NA>1000000002017041320180413<NA>99
765766국내외여행업03_12_02_P3480000CDFI226002202200000120220628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 45-8대구광역시 달성군 화원읍 비슬로 2605-1, 2층42953삼진투어20220628100348I2022-06-30 00:22:30.0<NA>335647.825312257144.903991국내외여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>30000000<NA><NA><NA>0
766767국내외여행업03_12_02_P3480000CDFI226002201700000120130315<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)여행코리아20171017110639I2018-08-31 23:59:59.0<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>
767768국내외여행업03_12_02_P3480000CDFI226002201800000120180411<NA>1영업/정상13영업중<NA><NA><NA><NA>0536146677<NA><NA>대구광역시 달성군 논공읍 노이리 1080번지대구광역시 달성군 논공읍 노이길 20242975더나은투어(주)20180413100511I2018-08-31 23:59:59.0<NA>329632.740897252113.071997국내외여행업<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
768769국내외여행업03_12_02_P3480000CDFI226002201800000320180703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1527-5번지 102호대구광역시 달성군 다사읍 대실역북로4길 6, 102호42911여행 매니아20180703173148I2018-08-31 23:59:59.0<NA>332391.154209263678.985881국내외여행업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26.0<NA><NA><NA><NA><NA><NA><NA><NA>30089983<NA><NA><NA>26
769770국내외여행업03_12_02_P3480000CDFI226002201900000120190211<NA>1영업/정상13영업중<NA><NA><NA><NA>0536324200<NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 16, 4층42946옴니버스 주식회사20190211175116I2019-02-13 02:21:19.0<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
770771국내외여행업03_12_02_P3480000CDFI226002202100000120190225<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)여행신화20210215110146U2021-02-17 02:40:00.0<NA><NA><NA>국내외여행업<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>
771772국내외여행업03_12_02_P3480000CDFI226002201500000120150123<NA>1영업/정상13영업중<NA><NA><NA><NA>053-553-0033<NA><NA>대구광역시 달성군 구지면 창리 12-1번지대구광역시 달성군 구지면 국가산단북로 24743006(주)신세계여행사20200205134431U2020-02-07 02:40:00.0<NA>328157.437875241417.355358국내외여행업<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>