Overview

Dataset statistics

Number of variables63
Number of observations780
Missing cells16116
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory417.6 KiB
Average record size in memory548.2 B

Variable types

Numeric20
Categorical23
Text7
Unsupported12
DateTime1

Dataset

Description22년08월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094443&dataSetDetailId=DDI_0000094457&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (83.4%)Imbalance
주변환경명 is highly imbalanced (89.2%)Imbalance
건물용도명 is highly imbalanced (82.0%)Imbalance
지하층수 is highly imbalanced (56.3%)Imbalance
영문상호주소 is highly imbalanced (55.6%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 730 (93.6%) missing valuesMissing
폐업일자 has 498 (63.8%) missing valuesMissing
휴업시작일자 has 774 (99.2%) missing valuesMissing
휴업종료일자 has 774 (99.2%) missing valuesMissing
재개업일자 has 780 (100.0%) missing valuesMissing
소재지전화 has 225 (28.8%) missing valuesMissing
소재지면적 has 780 (100.0%) missing valuesMissing
소재지우편번호 has 382 (49.0%) missing valuesMissing
도로명전체주소 has 19 (2.4%) missing valuesMissing
도로명우편번호 has 175 (22.4%) missing valuesMissing
업태구분명 has 780 (100.0%) missing valuesMissing
총층수 has 530 (67.9%) missing valuesMissing
제작취급품목내용 has 780 (100.0%) missing valuesMissing
보험기관명 has 195 (25.0%) missing valuesMissing
지상층수 has 519 (66.5%) missing valuesMissing
영문상호명 has 447 (57.3%) missing valuesMissing
선박제원 has 780 (100.0%) missing valuesMissing
기념품종류 has 780 (100.0%) missing valuesMissing
시설면적 has 521 (66.8%) missing valuesMissing
놀이기구수내역 has 780 (100.0%) missing valuesMissing
방송시설유무 has 780 (100.0%) missing valuesMissing
발전시설유무 has 780 (100.0%) missing valuesMissing
의무실유무 has 780 (100.0%) missing valuesMissing
안내소유무 has 780 (100.0%) missing valuesMissing
자본금 has 184 (23.6%) missing valuesMissing
보험시작일자 has 124 (15.9%) missing valuesMissing
보험종료일자 has 124 (15.9%) missing valuesMissing
부대시설내역 has 780 (100.0%) missing valuesMissing
시설규모 has 521 (66.8%) 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 190 (24.4%) zerosZeros
지상층수 has 190 (24.4%) zerosZeros
시설면적 has 176 (22.6%) zerosZeros
자본금 has 46 (5.9%) zerosZeros
시설규모 has 176 (22.6%) zerosZeros

Reproduction

Analysis started2023-12-10 18:41:22.947974
Analysis finished2023-12-10 18:41:24.893803
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct780
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.5
Minimum1
Maximum780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:25.010467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.95
Q1195.75
median390.5
Q3585.25
95-th percentile741.05
Maximum780
Range779
Interquartile range (IQR)389.5

Descriptive statistics

Standard deviation225.3109
Coefficient of variation (CV)0.57698053
Kurtosis-1.2
Mean390.5
Median Absolute Deviation (MAD)195
Skewness0
Sum304590
Variance50765
MonotonicityStrictly increasing
2023-12-11T03:41:25.282194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
538 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
Other values (770) 770
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 (%)
780 1
0.1%
779 1
0.1%
778 1
0.1%
777 1
0.1%
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
국내외여행업
780 

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 780
100.0%

Length

2023-12-11T03:41:25.528019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:25.693391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 780
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
03_12_02_P
780 

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 780
100.0%

Length

2023-12-11T03:41:25.856988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:26.028639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 780
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431884.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:26.178200image/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 deviation24503.533
Coefficient of variation (CV)0.0071399641
Kurtosis-1.419297
Mean3431884.6
Median Absolute Deviation (MAD)10000
Skewness0.51535101
Sum2.67687 × 109
Variance6.0042313 × 108
MonotonicityIncreasing
2023-12-11T03:41:26.400857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 363
46.5%
3470000 106
 
13.6%
3460000 92
 
11.8%
3420000 74
 
9.5%
3450000 74
 
9.5%
3440000 34
 
4.4%
3430000 24
 
3.1%
3480000 13
 
1.7%
ValueCountFrequency (%)
3410000 363
46.5%
3420000 74
 
9.5%
3430000 24
 
3.1%
3440000 34
 
4.4%
3450000 74
 
9.5%
3460000 92
 
11.8%
3470000 106
 
13.6%
3480000 13
 
1.7%
ValueCountFrequency (%)
3480000 13
 
1.7%
3470000 106
 
13.6%
3460000 92
 
11.8%
3450000 74
 
9.5%
3440000 34
 
4.4%
3430000 24
 
3.1%
3420000 74
 
9.5%
3410000 363
46.5%

관리번호
Text

Distinct409
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T03:41:26.731509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15600
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

Unique253 ?
Unique (%)32.4%

Sample

1st rowCDFI2260022015000015
2nd rowCDFI2260022013000011
3rd rowCDFI2260021993000002
4th rowCDFI2260022014000016
5th rowCDFI2260022014000001
ValueCountFrequency (%)
cdfi2260022015000001 7
 
0.9%
cdfi2260022021000002 7
 
0.9%
cdfi2260022022000001 7
 
0.9%
cdfi2260022021000001 6
 
0.8%
cdfi2260022018000003 6
 
0.8%
cdfi2260022016000005 6
 
0.8%
cdfi2260022017000001 6
 
0.8%
cdfi2260022016000002 6
 
0.8%
cdfi2260022018000002 6
 
0.8%
cdfi2260022018000001 6
 
0.8%
Other values (399) 717
91.9%
2023-12-11T03:41:27.277505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6311
40.5%
2 3387
21.7%
6 917
 
5.9%
1 851
 
5.5%
C 780
 
5.0%
D 780
 
5.0%
F 780
 
5.0%
I 780
 
5.0%
9 259
 
1.7%
4 164
 
1.1%
Other values (4) 591
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12480
80.0%
Uppercase Letter 3120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6311
50.6%
2 3387
27.1%
6 917
 
7.3%
1 851
 
6.8%
9 259
 
2.1%
4 164
 
1.3%
3 163
 
1.3%
5 153
 
1.2%
8 140
 
1.1%
7 135
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 780
25.0%
D 780
25.0%
F 780
25.0%
I 780
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12480
80.0%
Latin 3120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6311
50.6%
2 3387
27.1%
6 917
 
7.3%
1 851
 
6.8%
9 259
 
2.1%
4 164
 
1.3%
3 163
 
1.3%
5 153
 
1.2%
8 140
 
1.1%
7 135
 
1.1%
Latin
ValueCountFrequency (%)
C 780
25.0%
D 780
25.0%
F 780
25.0%
I 780
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6311
40.5%
2 3387
21.7%
6 917
 
5.9%
1 851
 
5.5%
C 780
 
5.0%
D 780
 
5.0%
F 780
 
5.0%
I 780
 
5.0%
9 259
 
1.7%
4 164
 
1.1%
Other values (4) 591
 
3.8%

인허가일자
Real number (ℝ)

Distinct706
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091190
Minimum19820922
Maximum20220829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:27.554801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820922
5-th percentile19941081
Q120040411
median20095618
Q320150925
95-th percentile20190713
Maximum20220829
Range399907
Interquartile range (IQR)110513.75

Descriptive statistics

Standard deviation75724.196
Coefficient of variation (CV)0.003769025
Kurtosis-0.1287614
Mean20091190
Median Absolute Deviation (MAD)55286.5
Skewness-0.58615095
Sum1.5671128 × 1010
Variance5.7341539 × 109
MonotonicityNot monotonic
2023-12-11T03:41:27.843591image/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%
20120306 3
 
0.4%
20180703 3
 
0.4%
20180510 3
 
0.4%
20150611 3
 
0.4%
20150925 3
 
0.4%
20130418 3
 
0.4%
20160705 2
 
0.3%
Other values (696) 743
95.3%
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 (%)
20220829 1
0.1%
20220819 1
0.1%
20220808 1
0.1%
20220805 1
0.1%
20220803 1
0.1%
20220721 1
0.1%
20220714 1
0.1%
20220712 1
0.1%
20220628 1
0.1%
20220622 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)66.0%
Missing730
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean20149664
Minimum20090325
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:28.127931image/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
2023-12-11T03:41:28.383275image/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%
20150925 2
 
0.3%
20190211 2
 
0.3%
20120201 2
 
0.3%
20151211 2
 
0.3%
20201224 2
 
0.3%
20090806 1
 
0.1%
Other values (23) 23
 
2.9%
(Missing) 730
93.6%
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%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
413 
3
284 
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 (%)
1 413
52.9%
3 284
36.4%
4 77
 
9.9%
2 6
 
0.8%

Length

2023-12-11T03:41:28.600013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:28.784400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 413
52.9%
3 284
36.4%
4 77
 
9.9%
2 6
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업/정상
413 
폐업
284 
취소/말소/만료/정지/중지
77 
휴업
 
6

Length

Max length14
Median length5
Mean length4.7730769
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 413
52.9%
폐업 284
36.4%
취소/말소/만료/정지/중지 77
 
9.9%
휴업 6
 
0.8%

Length

2023-12-11T03:41:28.981943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:29.211390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 413
52.9%
폐업 284
36.4%
취소/말소/만료/정지/중지 77
 
9.9%
휴업 6
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.116667
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:29.380511image/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 deviation8.1390659
Coefficient of variation (CV)0.73214986
Kurtosis0.97788743
Mean11.116667
Median Absolute Deviation (MAD)0
Skewness1.1082071
Sum8671
Variance66.244395
MonotonicityNot monotonic
2023-12-11T03:41:29.548141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 413
52.9%
3 282
36.2%
31 66
 
8.5%
30 11
 
1.4%
2 6
 
0.8%
34 2
 
0.3%
ValueCountFrequency (%)
2 6
 
0.8%
3 282
36.2%
13 413
52.9%
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%
13 413
52.9%
3 282
36.2%
2 6
 
0.8%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업중
413 
폐업
282 
등록취소
66 
허가취소
 
11
휴업
 
6

Length

Max length5
Median length3
Mean length2.7346154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 413
52.9%
폐업 282
36.2%
등록취소 66
 
8.5%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

Length

2023-12-11T03:41:29.763021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:29.949864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 413
52.9%
폐업 282
36.2%
등록취소 66
 
8.5%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)94.7%
Missing498
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean20135814
Minimum20030106
Maximum20220830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:30.214532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20041474
Q120091018
median20140921
Q320180115
95-th percentile20210405
Maximum20220830
Range190724
Interquartile range (IQR)89096.5

Descriptive statistics

Standard deviation51088.676
Coefficient of variation (CV)0.0025372044
Kurtosis-0.88585536
Mean20135814
Median Absolute Deviation (MAD)39840
Skewness-0.29297846
Sum5.6782996 × 109
Variance2.6100528 × 109
MonotonicityNot monotonic
2023-12-11T03:41:30.488637image/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 (257) 262
33.6%
(Missing) 498
63.8%
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 (%)
20220830 1
0.1%
20220805 1
0.1%
20220725 1
0.1%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing774
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20107302
Minimum20020913
Maximum20211122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:30.709107image/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
2023-12-11T03:41:30.902517image/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) 774
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%
Missing774
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20114239
Minimum20040813
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:31.121221image/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
2023-12-11T03:41:31.657179image/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) 774
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 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

소재지전화
Text

MISSING 

Distinct545
Distinct (%)98.2%
Missing225
Missing (%)28.8%
Memory size6.2 KiB
2023-12-11T03:41:32.075150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.816216
Min length7

Characters and Unicode

Total characters6003
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 (%)96.4%

Sample

1st row053-261-0055
2nd row053-421-7470
3rd row424-2525
4th row053-252-5454
5th row053-254-6885
ValueCountFrequency (%)
053 23
 
3.9%
1600-3031 2
 
0.3%
053-639-7878 2
 
0.3%
053-428-5350 2
 
0.3%
053-422-9925 2
 
0.3%
053-421-5581 2
 
0.3%
053-741-9090 2
 
0.3%
053-964-9911 2
 
0.3%
053-421-1323 2
 
0.3%
053-254-6885 2
 
0.3%
Other values (550) 551
93.1%
2023-12-11T03:41:32.714115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 912
15.2%
5 848
14.1%
- 805
13.4%
3 709
11.8%
2 599
10.0%
4 483
8.0%
1 372
6.2%
7 358
 
6.0%
6 340
 
5.7%
8 307
 
5.1%
Other values (6) 270
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5138
85.6%
Dash Punctuation 805
 
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 (%)
0 912
17.8%
5 848
16.5%
3 709
13.8%
2 599
11.7%
4 483
9.4%
1 372
7.2%
7 358
 
7.0%
6 340
 
6.6%
8 307
 
6.0%
9 210
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 805
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 6003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 912
15.2%
5 848
14.1%
- 805
13.4%
3 709
11.8%
2 599
10.0%
4 483
8.0%
1 372
6.2%
7 358
 
6.0%
6 340
 
5.7%
8 307
 
5.1%
Other values (6) 270
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 912
15.2%
5 848
14.1%
- 805
13.4%
3 709
11.8%
2 599
10.0%
4 483
8.0%
1 372
6.2%
7 358
 
6.0%
6 340
 
5.7%
8 307
 
5.1%
Other values (6) 270
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)47.5%
Missing382
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean702205.41
Minimum700010
Maximum711835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:32.967334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700150
Q1700412.25
median700821.5
Q3704626
95-th percentile706820.6
Maximum711835
Range11825
Interquartile range (IQR)4213.75

Descriptive statistics

Standard deviation2403.6582
Coefficient of variation (CV)0.0034230129
Kurtosis0.69714706
Mean702205.41
Median Absolute Deviation (MAD)671.5
Skewness1.1656427
Sum2.7947776 × 108
Variance5777572.8
MonotonicityNot monotonic
2023-12-11T03:41:33.267268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700421 29
 
3.7%
700422 26
 
3.3%
700412 23
 
2.9%
700150 19
 
2.4%
700180 11
 
1.4%
700160 7
 
0.9%
700809 7
 
0.9%
700811 5
 
0.6%
700082 5
 
0.6%
700200 5
 
0.6%
Other values (179) 261
33.5%
(Missing) 382
49.0%
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
2.4%
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%

소재지전체주소
Text

Distinct685
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T03:41:33.854768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41.5
Mean length23.564103
Min length13

Characters and Unicode

Total characters18380
Distinct characters268
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

Unique626 ?
Unique (%)80.3%

Sample

1st row대구광역시 중구 삼덕동2가 210-1번지 진석타워즈 1207호
2nd row대구광역시 중구 대봉동 20-50번지 대봉빌딩 6층
3rd row대구광역시 중구 동산동 788-5번지 407호
4th row대구광역시 중구 삼덕동1가 61-1번지 3층
5th row대구광역시 중구 공평동 10-5
ValueCountFrequency (%)
대구광역시 780
21.7%
중구 363
 
10.1%
달서구 106
 
2.9%
수성구 91
 
2.5%
동구 75
 
2.1%
북구 73
 
2.0%
동인동2가 57
 
1.6%
동인동1가 54
 
1.5%
2층 44
 
1.2%
공평동 37
 
1.0%
Other values (985) 1922
53.4%
2023-12-11T03:41:34.700167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3501
19.0%
구 1576
 
8.6%
동 1018
 
5.5%
1 985
 
5.4%
대 882
 
4.8%
시 804
 
4.4%
광 796
 
4.3%
역 783
 
4.3%
- 624
 
3.4%
2 614
 
3.3%
Other values (258) 6797
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10418
56.7%
Decimal Number 3796
 
20.7%
Space Separator 3501
 
19.0%
Dash Punctuation 624
 
3.4%
Uppercase Letter 22
 
0.1%
Other Punctuation 13
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1576
15.1%
동 1018
 
9.8%
대 882
 
8.5%
시 804
 
7.7%
광 796
 
7.6%
역 783
 
7.5%
지 397
 
3.8%
번 373
 
3.6%
중 367
 
3.5%
가 264
 
2.5%
Other values (231) 3158
30.3%
Decimal Number
ValueCountFrequency (%)
1 985
25.9%
2 614
16.2%
3 414
10.9%
0 326
 
8.6%
5 302
 
8.0%
4 273
 
7.2%
8 249
 
6.6%
7 238
 
6.3%
6 199
 
5.2%
9 196
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
18.2%
I 3
13.6%
C 3
13.6%
Y 3
13.6%
K 2
9.1%
S 2
9.1%
D 2
9.1%
B 1
 
4.5%
A 1
 
4.5%
H 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 2
 
15.4%
· 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 624
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10418
56.7%
Common 7940
43.2%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1576
15.1%
동 1018
 
9.8%
대 882
 
8.5%
시 804
 
7.7%
광 796
 
7.6%
역 783
 
7.5%
지 397
 
3.8%
번 373
 
3.6%
중 367
 
3.5%
가 264
 
2.5%
Other values (231) 3158
30.3%
Common
ValueCountFrequency (%)
3501
44.1%
1 985
 
12.4%
- 624
 
7.9%
2 614
 
7.7%
3 414
 
5.2%
0 326
 
4.1%
5 302
 
3.8%
4 273
 
3.4%
8 249
 
3.1%
7 238
 
3.0%
Other values (7) 414
 
5.2%
Latin
ValueCountFrequency (%)
T 4
18.2%
I 3
13.6%
C 3
13.6%
Y 3
13.6%
K 2
9.1%
S 2
9.1%
D 2
9.1%
B 1
 
4.5%
A 1
 
4.5%
H 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10418
56.7%
ASCII 7961
43.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3501
44.0%
1 985
 
12.4%
- 624
 
7.8%
2 614
 
7.7%
3 414
 
5.2%
0 326
 
4.1%
5 302
 
3.8%
4 273
 
3.4%
8 249
 
3.1%
7 238
 
3.0%
Other values (16) 435
 
5.5%
Hangul
ValueCountFrequency (%)
구 1576
15.1%
동 1018
 
9.8%
대 882
 
8.5%
시 804
 
7.7%
광 796
 
7.6%
역 783
 
7.5%
지 397
 
3.8%
번 373
 
3.6%
중 367
 
3.5%
가 264
 
2.5%
Other values (231) 3158
30.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct681
Distinct (%)89.5%
Missing19
Missing (%)2.4%
Memory size6.2 KiB
2023-12-11T03:41:35.320854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.92247
Min length19

Characters and Unicode

Total characters22771
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

Unique627 ?
Unique (%)82.4%

Sample

1st row대구광역시 중구 동덕로 115, 1207호 (삼덕동2가, 진석타워)
2nd row대구광역시 중구 달구벌대로 2202, 6층 (대봉동, 대봉빌딩)
3rd row대구광역시 중구 달구벌대로 2019, 407호 (동산동)
4th row대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)
5th row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
ValueCountFrequency (%)
대구광역시 761
 
16.8%
중구 360
 
7.9%
달서구 105
 
2.3%
수성구 91
 
2.0%
2층 90
 
2.0%
동구 75
 
1.7%
국채보상로 73
 
1.6%
경상감영길 65
 
1.4%
북구 58
 
1.3%
3층 55
 
1.2%
Other values (1065) 2803
61.8%
2023-12-11T03:41:36.186871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3899
 
17.1%
구 1629
 
7.2%
동 1137
 
5.0%
대 993
 
4.4%
1 831
 
3.6%
시 789
 
3.5%
광 780
 
3.4%
역 768
 
3.4%
( 753
 
3.3%
) 753
 
3.3%
Other values (295) 10439
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12998
57.1%
Space Separator 3899
 
17.1%
Decimal Number 3669
 
16.1%
Open Punctuation 753
 
3.3%
Close Punctuation 753
 
3.3%
Other Punctuation 574
 
2.5%
Dash Punctuation 99
 
0.4%
Uppercase Letter 25
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1629
 
12.5%
동 1137
 
8.7%
대 993
 
7.6%
시 789
 
6.1%
광 780
 
6.0%
역 768
 
5.9%
로 705
 
5.4%
중 390
 
3.0%
층 282
 
2.2%
가 250
 
1.9%
Other values (267) 5275
40.6%
Decimal Number
ValueCountFrequency (%)
1 831
22.6%
2 715
19.5%
3 395
10.8%
0 353
9.6%
5 341
9.3%
4 269
 
7.3%
6 236
 
6.4%
7 216
 
5.9%
8 158
 
4.3%
9 155
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
16.0%
A 3
12.0%
I 3
12.0%
C 3
12.0%
Y 3
12.0%
S 2
8.0%
K 2
8.0%
H 2
8.0%
D 2
8.0%
B 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 571
99.5%
/ 2
 
0.3%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3899
100.0%
Open Punctuation
ValueCountFrequency (%)
( 753
100.0%
Close Punctuation
ValueCountFrequency (%)
) 753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12998
57.1%
Common 9747
42.8%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1629
 
12.5%
동 1137
 
8.7%
대 993
 
7.6%
시 789
 
6.1%
광 780
 
6.0%
역 768
 
5.9%
로 705
 
5.4%
중 390
 
3.0%
층 282
 
2.2%
가 250
 
1.9%
Other values (267) 5275
40.6%
Common
ValueCountFrequency (%)
3899
40.0%
1 831
 
8.5%
( 753
 
7.7%
) 753
 
7.7%
2 715
 
7.3%
, 571
 
5.9%
3 395
 
4.1%
0 353
 
3.6%
5 341
 
3.5%
4 269
 
2.8%
Other values (7) 867
 
8.9%
Latin
ValueCountFrequency (%)
T 4
15.4%
A 3
11.5%
I 3
11.5%
C 3
11.5%
Y 3
11.5%
S 2
7.7%
K 2
7.7%
H 2
7.7%
D 2
7.7%
B 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12998
57.1%
ASCII 9772
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3899
39.9%
1 831
 
8.5%
( 753
 
7.7%
) 753
 
7.7%
2 715
 
7.3%
, 571
 
5.8%
3 395
 
4.0%
0 353
 
3.6%
5 341
 
3.5%
4 269
 
2.8%
Other values (17) 892
 
9.1%
Hangul
ValueCountFrequency (%)
구 1629
 
12.5%
동 1137
 
8.7%
대 993
 
7.6%
시 789
 
6.1%
광 780
 
6.0%
역 768
 
5.9%
로 705
 
5.4%
중 390
 
3.0%
층 282
 
2.2%
가 250
 
1.9%
Other values (267) 5275
40.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct323
Distinct (%)53.4%
Missing175
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean115045.31
Minimum41026
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:36.434598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41151
Q141911
median41946
Q342631
95-th percentile700835.2
Maximum711815
Range670789
Interquartile range (IQR)720

Descriptive statistics

Standard deviation207157.89
Coefficient of variation (CV)1.8006635
Kurtosis4.1992015
Mean115045.31
Median Absolute Deviation (MAD)315
Skewness2.4870022
Sum69602413
Variance4.2914393 × 1010
MonotonicityNot monotonic
2023-12-11T03:41:36.701136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 35
 
4.5%
41914 27
 
3.5%
41913 19
 
2.4%
41938 13
 
1.7%
41940 13
 
1.7%
42672 11
 
1.4%
41953 9
 
1.2%
41908 8
 
1.0%
41934 7
 
0.9%
700842 6
 
0.8%
Other values (313) 457
58.6%
(Missing) 175
 
22.4%
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%

사업장명
Text

Distinct771
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T03:41:37.108904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.425641
Min length2

Characters and Unicode

Total characters6572
Distinct characters413
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

Unique762 ?
Unique (%)97.7%

Sample

1st row(주)오늘의여행
2nd row(주)하나고속관광
3rd row(주)대구대한여행사
4th row(주)토마토투어
5th row(주)스마일투어
ValueCountFrequency (%)
주식회사 50
 
5.4%
투어 15
 
1.6%
여행사 11
 
1.2%
주 9
 
1.0%
tour 4
 
0.4%
여행 3
 
0.3%
모두투어 2
 
0.2%
주)여행하는 2
 
0.2%
길 2
 
0.2%
넘버원 2
 
0.2%
Other values (810) 823
89.2%
2023-12-11T03:41:37.749902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 616
 
9.4%
( 561
 
8.5%
) 561
 
8.5%
행 370
 
5.6%
여 365
 
5.6%
사 346
 
5.3%
어 259
 
3.9%
투 254
 
3.9%
143
 
2.2%
이 129
 
2.0%
Other values (403) 2968
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5203
79.2%
Open Punctuation 561
 
8.5%
Close Punctuation 561
 
8.5%
Space Separator 143
 
2.2%
Uppercase Letter 59
 
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 (%)
주 616
 
11.8%
행 370
 
7.1%
여 365
 
7.0%
사 346
 
6.7%
어 259
 
5.0%
투 254
 
4.9%
이 129
 
2.5%
스 97
 
1.9%
공 91
 
1.7%
항 87
 
1.7%
Other values (358) 2589
49.8%
Uppercase Letter
ValueCountFrequency (%)
T 7
11.9%
O 6
 
10.2%
U 6
 
10.2%
R 4
 
6.8%
A 4
 
6.8%
E 4
 
6.8%
D 3
 
5.1%
Y 3
 
5.1%
S 3
 
5.1%
L 2
 
3.4%
Other values (12) 17
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.3%
r 4
13.3%
t 3
10.0%
i 3
10.0%
a 3
10.0%
o 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 (%)
( 561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 561
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5203
79.2%
Common 1280
 
19.5%
Latin 89
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 616
 
11.8%
행 370
 
7.1%
여 365
 
7.0%
사 346
 
6.7%
어 259
 
5.0%
투 254
 
4.9%
이 129
 
2.5%
스 97
 
1.9%
공 91
 
1.7%
항 87
 
1.7%
Other values (358) 2589
49.8%
Latin
ValueCountFrequency (%)
T 7
 
7.9%
O 6
 
6.7%
U 6
 
6.7%
e 4
 
4.5%
R 4
 
4.5%
A 4
 
4.5%
E 4
 
4.5%
r 4
 
4.5%
t 3
 
3.4%
i 3
 
3.4%
Other values (25) 44
49.4%
Common
ValueCountFrequency (%)
( 561
43.8%
) 561
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 5203
79.2%
ASCII 1369
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 616
 
11.8%
행 370
 
7.1%
여 365
 
7.0%
사 346
 
6.7%
어 259
 
5.0%
투 254
 
4.9%
이 129
 
2.5%
스 97
 
1.9%
공 91
 
1.7%
항 87
 
1.7%
Other values (358) 2589
49.8%
ASCII
ValueCountFrequency (%)
( 561
41.0%
) 561
41.0%
143
 
10.4%
T 7
 
0.5%
O 6
 
0.4%
U 6
 
0.4%
1 4
 
0.3%
e 4
 
0.3%
R 4
 
0.3%
A 4
 
0.3%
Other values (35) 69
 
5.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct780
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174516 × 1013
Minimum2.0030217 × 1013
Maximum2.0220831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:38.002390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030217 × 1013
5-th percentile2.007061 × 1013
Q12.0140916 × 1013
median2.0200409 × 1013
Q32.0211009 × 1013
95-th percentile2.0220817 × 1013
Maximum2.0220831 × 1013
Range1.9061405 × 1011
Interquartile range (IQR)7.0092998 × 1010

Descriptive statistics

Standard deviation5.1441844 × 1010
Coefficient of variation (CV)0.0025498428
Kurtosis-0.021865425
Mean2.0174516 × 1013
Median Absolute Deviation (MAD)2.0113538 × 1010
Skewness-1.0882541
Sum1.5736122 × 1016
Variance2.6462633 × 1021
MonotonicityNot monotonic
2023-12-11T03:41:38.279433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181004162521 1
 
0.1%
20200918093906 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%
20220830110939 1
 
0.1%
Other values (770) 770
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 (%)
20220831162400 1
0.1%
20220830110939 1
0.1%
20220829134153 1
0.1%
20220826092000 1
0.1%
20220825174916 1
0.1%
20220825172336 1
0.1%
20220825091041 1
0.1%
20220825090957 1
0.1%
20220825090929 1
0.1%
20220823164803 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
U
438 
I
342 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 438
56.2%
I 342
43.8%

Length

2023-12-11T03:41:38.522633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:38.707072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 438
56.2%
i 342
43.8%

데이터갱신일자
Date

Distinct284
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-02 02:40:00
2023-12-11T03:41:38.912018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:41:39.177501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct559
Distinct (%)72.3%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean344067.88
Minimum328157.44
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:39.450649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328157.44
5-th percentile337593.68
Q1342919.2
median344449.16
Q3345032.24
95-th percentile352273.93
Maximum357888.72
Range29731.286
Interquartile range (IQR)2113.0352

Descriptive statistics

Standard deviation3889.3123
Coefficient of variation (CV)0.01130391
Kurtosis2.308628
Mean344067.88
Median Absolute Deviation (MAD)1099.9545
Skewness0.10795225
Sum2.6596447 × 108
Variance15126750
MonotonicityNot monotonic
2023-12-11T03:41:39.684109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136454 23
 
2.9%
344686.259338 19
 
2.4%
344605.619674 11
 
1.4%
340608.886881 10
 
1.3%
344417.802132 10
 
1.3%
344204.522469 6
 
0.8%
344513.06466 6
 
0.8%
344633.379801 5
 
0.6%
343824.014319 5
 
0.6%
344532.26916 5
 
0.6%
Other values (549) 673
86.3%
(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)

Distinct559
Distinct (%)72.3%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263849.61
Minimum241417.36
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:39.966920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241417.36
5-th percentile259106.61
Q1262910.64
median264334.82
Q3264652.64
95-th percentile267868.78
Maximum272714.08
Range31296.729
Interquartile range (IQR)1741.999

Descriptive statistics

Standard deviation2646.4634
Coefficient of variation (CV)0.010030196
Kurtosis11.604498
Mean263849.61
Median Absolute Deviation (MAD)806.47933
Skewness-1.1643107
Sum2.0395575 × 108
Variance7003768.6
MonotonicityNot monotonic
2023-12-11T03:41:40.240517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.838876 23
 
2.9%
263958.880864 19
 
2.4%
264770.297911 11
 
1.4%
262318.248215 10
 
1.3%
264430.537922 10
 
1.3%
265028.313376 6
 
0.8%
264505.89139 6
 
0.8%
264504.727592 5
 
0.6%
263050.61853 5
 
0.6%
264500.858933 5
 
0.6%
Other values (549) 673
86.3%
(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
780 

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 780
100.0%

Length

2023-12-11T03:41:40.559456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:40.744028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 780
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
417 
관광사업
363 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 417
53.5%
관광사업 363
46.5%

Length

2023-12-11T03:41:40.923003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:41.104519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 417
53.5%
관광사업 363
46.5%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
727 
일반주거지역
 
19
근린상업지역
 
12
상업지역
 
8
일반상업지역
 
6
Other values (4)
 
8

Length

Max length6
Median length4
Mean length4.1102564
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> 727
93.2%
일반주거지역 19
 
2.4%
근린상업지역 12
 
1.5%
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

2023-12-11T03:41:41.335179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:41.613655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 727
93.2%
일반주거지역 19
 
2.4%
근린상업지역 12
 
1.5%
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 (%)6.0%
Missing530
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean2.644
Minimum0
Maximum402
Zeros190
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:41.857596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.55
Maximum402
Range402
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.479759
Coefficient of variation (CV)9.6368227
Kurtosis245.23502
Mean2.644
Median Absolute Deviation (MAD)0
Skewness15.588745
Sum661
Variance649.21814
MonotonicityNot monotonic
2023-12-11T03:41:42.065821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 190
 
24.4%
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) 530
67.9%
ValueCountFrequency (%)
0 190
24.4%
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>
756 
기타
 
13
아파트지역
 
5
주택가주변
 
4
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9858974
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> 756
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

Length

2023-12-11T03:41:42.299143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:42.487762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 756
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

보험기관명
Text

MISSING 

Distinct245
Distinct (%)41.9%
Missing195
Missing (%)25.0%
Memory size6.2 KiB
2023-12-11T03:41:42.757759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.14359
Min length4

Characters and Unicode

Total characters7104
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

Unique229 ?
Unique (%)39.1%

Sample

1st row서울보증보험 553-86-00226
2nd row서울보증보험 504-86-07931
3rd row서울보증보험 504-85-15620
4th row서울보증보험 504-86-11037
5th row서울보증보험 504-86-12263
ValueCountFrequency (%)
서울보증보험 312
35.9%
관광협회 76
 
8.7%
한국관광협회중앙회 73
 
8.4%
여행공제회 57
 
6.6%
서울보증보험주식회사 41
 
4.7%
관광공제회 27
 
3.1%
한국관광협회 18
 
2.1%
대구광역시관광협회 6
 
0.7%
관광협회공제 5
 
0.6%
서울보증보험(주 4
 
0.5%
Other values (238) 250
28.8%
2023-12-11T03:41:43.307400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 737
 
10.4%
- 444
 
6.2%
0 408
 
5.7%
회 404
 
5.7%
서 371
 
5.2%
증 371
 
5.2%
울 371
 
5.2%
험 366
 
5.2%
1 330
 
4.6%
8 309
 
4.3%
Other values (37) 2993
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4105
57.8%
Decimal Number 2238
31.5%
Dash Punctuation 444
 
6.2%
Space Separator 284
 
4.0%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Uppercase Letter 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 737
18.0%
회 404
9.8%
서 371
9.0%
증 371
9.0%
울 371
9.0%
험 366
8.9%
광 230
 
5.6%
관 219
 
5.3%
협 193
 
4.7%
한 96
 
2.3%
Other values (19) 747
18.2%
Decimal Number
ValueCountFrequency (%)
0 408
18.2%
1 330
14.7%
8 309
13.8%
5 292
13.0%
4 229
10.2%
6 166
7.4%
2 149
 
6.7%
3 131
 
5.9%
7 118
 
5.3%
9 106
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
G 3
33.3%
I 3
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 444
100.0%
Space Separator
ValueCountFrequency (%)
284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4105
57.8%
Common 2990
42.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 737
18.0%
회 404
9.8%
서 371
9.0%
증 371
9.0%
울 371
9.0%
험 366
8.9%
광 230
 
5.6%
관 219
 
5.3%
협 193
 
4.7%
한 96
 
2.3%
Other values (19) 747
18.2%
Common
ValueCountFrequency (%)
- 444
14.8%
0 408
13.6%
1 330
11.0%
8 309
10.3%
5 292
9.8%
284
9.5%
4 229
7.7%
6 166
 
5.6%
2 149
 
5.0%
3 131
 
4.4%
Other values (5) 248
8.3%
Latin
ValueCountFrequency (%)
S 3
33.3%
G 3
33.3%
I 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4105
57.8%
ASCII 2999
42.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 737
18.0%
회 404
9.8%
서 371
9.0%
증 371
9.0%
울 371
9.0%
험 366
8.9%
광 230
 
5.6%
관 219
 
5.3%
협 193
 
4.7%
한 96
 
2.3%
Other values (19) 747
18.2%
ASCII
ValueCountFrequency (%)
- 444
14.8%
0 408
13.6%
1 330
11.0%
8 309
10.3%
5 292
9.7%
284
9.5%
4 229
7.6%
6 166
 
5.5%
2 149
 
5.0%
3 131
 
4.4%
Other values (8) 257
8.6%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
713 
근린생활시설
 
48
사무실
 
12
유통시설
 
3
위험물저장시설
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length4.1153846
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> 713
91.4%
근린생활시설 48
 
6.2%
사무실 12
 
1.5%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
농어가주택 1
 
0.1%

Length

2023-12-11T03:41:43.562316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:43.748763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 713
91.4%
근린생활시설 48
 
6.2%
사무실 12
 
1.5%
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 (%)5.7%
Missing519
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean1.0421456
Minimum0
Maximum21
Zeros190
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:43.934031image/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 deviation2.6432326
Coefficient of variation (CV)2.5363371
Kurtosis25.194142
Mean1.0421456
Median Absolute Deviation (MAD)0
Skewness4.4370367
Sum272
Variance6.9866785
MonotonicityNot monotonic
2023-12-11T03:41:44.066728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 190
 
24.4%
2 19
 
2.4%
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) 519
66.5%
ValueCountFrequency (%)
0 190
24.4%
1 16
 
2.1%
2 19
 
2.4%
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>
557 
0
203 
1
 
14
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.1423077
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> 557
71.4%
0 203
 
26.0%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

Length

2023-12-11T03:41:44.241874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:44.460149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 557
71.4%
0 203
 
26.0%
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>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:44.602591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:44.761537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:44.941500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:45.104105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

영문상호명
Text

MISSING 

Distinct333
Distinct (%)100.0%
Missing447
Missing (%)57.3%
Memory size6.2 KiB
2023-12-11T03:41:46.027954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length19.846847
Min length3

Characters and Unicode

Total characters6609
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

Unique333 ?
Unique (%)100.0%

Sample

1st rowTODAY'S TOUR CO.,LTD
2nd rowHANA EXPRESS TRAVEL CO.,LTD
3rd rowTOMATO TOUR CO.,LTD
4th rowSMILE TOUR CO.,LTD
5th rowDAEGU NETIZENTOUR CO.,LTD
ValueCountFrequency (%)
tour 166
 
14.6%
co.,ltd 135
 
11.9%
ltd 92
 
8.1%
co 91
 
8.0%
travel 86
 
7.6%
world 16
 
1.4%
daegu 15
 
1.3%
air 13
 
1.1%
co.ltd 13
 
1.1%
agency 11
 
1.0%
Other values (378) 496
43.7%
2023-12-11T03:41:46.840927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
803
 
12.2%
O 557
 
8.4%
T 550
 
8.3%
L 414
 
6.3%
R 372
 
5.6%
A 311
 
4.7%
C 308
 
4.7%
E 296
 
4.5%
. 288
 
4.4%
D 287
 
4.3%
Other values (50) 2423
36.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4526
68.5%
Space Separator 803
 
12.2%
Lowercase Letter 730
 
11.0%
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 557
12.3%
T 550
12.2%
L 414
9.1%
R 372
 
8.2%
A 311
 
6.9%
C 308
 
6.8%
E 296
 
6.5%
D 287
 
6.3%
U 269
 
5.9%
N 198
 
4.4%
Other values (15) 964
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 (%)
803
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 5256
79.5%
Common 1353
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 557
 
10.6%
T 550
 
10.5%
L 414
 
7.9%
R 372
 
7.1%
A 311
 
5.9%
C 308
 
5.9%
E 296
 
5.6%
D 287
 
5.5%
U 269
 
5.1%
N 198
 
3.8%
Other values (39) 1694
32.2%
Common
ValueCountFrequency (%)
803
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%
' 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
803
 
12.2%
O 557
 
8.4%
T 550
 
8.3%
L 414
 
6.3%
R 372
 
5.6%
A 311
 
4.7%
C 308
 
4.7%
E 296
 
4.5%
. 288
 
4.4%
D 287
 
4.3%
Other values (50) 2423
36.7%

영문상호주소
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
450 
Overseas travel business
174 
Overseas Travel Agency
65 
Overseas Travel business
 
38
Domestic and Overseas travel business
 
18
Other values (15)
 
35

Length

Max length43
Median length4
Mean length12.651282
Min length4

Unique

Unique10 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 450
57.7%
Overseas travel business 174
 
22.3%
Overseas Travel Agency 65
 
8.3%
Overseas Travel business 38
 
4.9%
Domestic and Overseas travel business 18
 
2.3%
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

2023-12-11T03:41:47.094598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 450
30.3%
travel 329
22.1%
overseas 324
21.8%
business 241
16.2%
agency 87
 
5.9%
domestic 24
 
1.6%
and 18
 
1.2%
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>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:47.299794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:47.459853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:47.625566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:47.809915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:47.974158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:48.119548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:48.298311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:48.460832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:48.631276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:48.808456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)28.2%
Missing521
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean52.908456
Minimum0
Maximum5980.8
Zeros176
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:48.964660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327.885
95-th percentile121.768
Maximum5980.8
Range5980.8
Interquartile range (IQR)27.885

Descriptive statistics

Standard deviation380.04182
Coefficient of variation (CV)7.1830072
Kurtosis231.92235
Mean52.908456
Median Absolute Deviation (MAD)0
Skewness14.890263
Sum13703.29
Variance144431.78
MonotonicityNot monotonic
2023-12-11T03:41:49.178589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 176
 
22.6%
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
 
8.1%
(Missing) 521
66.8%
ValueCountFrequency (%)
0.0 176
22.6%
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 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
571 
0
209 

Length

Max length4
Median length4
Mean length3.1961538
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> 571
73.2%
0 209
 
26.8%

Length

2023-12-11T03:41:49.411787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:49.551911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
73.2%
0 209
 
26.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
779 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0051282
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> 779
99.9%
20150101 1
 
0.1%

Length

2023-12-11T03:41:49.751769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:49.929732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 779
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
779 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0051282
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> 779
99.9%
20151231 1
 
0.1%

Length

2023-12-11T03:41:50.120580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:50.293036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 779
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)10.2%
Missing184
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean93131286
Minimum0
Maximum1.8854 × 109
Zeros46
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:50.488178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160000000
median90000000
Q31 × 108
95-th percentile1.5 × 108
Maximum1.8854 × 109
Range1.8854 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.2179077 × 108
Coefficient of variation (CV)1.3077321
Kurtosis119.71248
Mean93131286
Median Absolute Deviation (MAD)30000000
Skewness9.7267229
Sum5.5506247 × 1010
Variance1.4832992 × 1016
MonotonicityNot monotonic
2023-12-11T03:41:50.736182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 210
26.9%
60000000 100
12.8%
150000000 50
 
6.4%
0 46
 
5.9%
90000000 45
 
5.8%
30000000 34
 
4.4%
50000000 17
 
2.2%
70000000 13
 
1.7%
45000000 12
 
1.5%
200000000 6
 
0.8%
Other values (51) 63
 
8.1%
(Missing) 184
23.6%
ValueCountFrequency (%)
0 46
5.9%
100 1
 
0.1%
6000 1
 
0.1%
600000 1
 
0.1%
10000000 4
 
0.5%
30000000 34
4.4%
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 

Distinct583
Distinct (%)88.9%
Missing124
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean20175762
Minimum20020313
Maximum20220901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:50.967707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080289
Q120151116
median20191115
Q320210601
95-th percentile20220609
Maximum20220901
Range200588
Interquartile range (IQR)59484.75

Descriptive statistics

Standard deviation46647.491
Coefficient of variation (CV)0.0023120559
Kurtosis1.0158807
Mean20175762
Median Absolute Deviation (MAD)20005.5
Skewness-1.3169712
Sum1.32353 × 1010
Variance2.1759884 × 109
MonotonicityNot monotonic
2023-12-11T03:41:51.217911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210601 7
 
0.9%
20220601 4
 
0.5%
20200818 4
 
0.5%
20210608 4
 
0.5%
20210909 3
 
0.4%
20210607 3
 
0.4%
20210604 3
 
0.4%
20220610 3
 
0.4%
20220608 2
 
0.3%
20210308 2
 
0.3%
Other values (573) 621
79.6%
(Missing) 124
 
15.9%
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 (%)
20220901 2
0.3%
20220831 1
0.1%
20220829 1
0.1%
20220824 1
0.1%
20220819 1
0.1%
20220818 1
0.1%
20220811 1
0.1%
20220806 1
0.1%
20220730 1
0.1%
20220728 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct587
Distinct (%)89.5%
Missing124
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean20186218
Minimum20030313
Maximum20240630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:51.520636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090323
Q120161081
median20201216
Q320220604
95-th percentile20230611
Maximum20240630
Range210317
Interquartile range (IQR)59523.25

Descriptive statistics

Standard deviation46822.065
Coefficient of variation (CV)0.0023195066
Kurtosis1.0063942
Mean20186218
Median Absolute Deviation (MAD)20012.5
Skewness-1.3172797
Sum1.3242159 × 1010
Variance2.1923058 × 109
MonotonicityNot monotonic
2023-12-11T03:41:51.844914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 7
 
0.9%
20230531 4
 
0.5%
20230614 3
 
0.4%
20220604 3
 
0.4%
20230609 3
 
0.4%
20220909 3
 
0.4%
20220607 3
 
0.4%
20210817 3
 
0.4%
20220411 2
 
0.3%
20210303 2
 
0.3%
Other values (577) 623
79.9%
(Missing) 124
 
15.9%
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 (%)
20240630 1
0.1%
20231118 1
0.1%
20231114 1
0.1%
20230901 1
0.1%
20230831 2
0.3%
20230829 1
0.1%
20230824 1
0.1%
20230818 1
0.1%
20230817 1
0.1%
20230810 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing780
Missing (%)100.0%
Memory size7.0 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)22.4%
Missing521
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean52.930502
Minimum0
Maximum5981
Zeros176
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T03:41:52.093110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q328
95-th percentile121.5
Maximum5981
Range5981
Interquartile range (IQR)28

Descriptive statistics

Standard deviation380.05732
Coefficient of variation (CV)7.1803083
Kurtosis231.91229
Mean52.930502
Median Absolute Deviation (MAD)0
Skewness14.889807
Sum13709
Variance144443.57
MonotonicityNot monotonic
2023-12-11T03:41:52.340991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
22.6%
99 4
 
0.5%
66 4
 
0.5%
10 3
 
0.4%
20 3
 
0.4%
50 3
 
0.4%
33 3
 
0.4%
46 2
 
0.3%
48 2
 
0.3%
113 2
 
0.3%
Other values (48) 57
 
7.3%
(Missing) 521
66.8%
ValueCountFrequency (%)
0 176
22.6%
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_P3410000CDFI226002201500001520150902201810044취소/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)오늘의여행20181004162521U2018-10-06 02:36:26.0<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>
12국내외여행업03_12_02_P3410000CDFI226002201300001120130730201810044취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-261-0055<NA>700431대구광역시 중구 대봉동 20-50번지 대봉빌딩 6층대구광역시 중구 달구벌대로 2202, 6층 (대봉동, 대봉빌딩)41951(주)하나고속관광20181004162819U2018-10-06 02:36:26.0<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>
23국내외여행업03_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>
34국내외여행업03_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>
45국내외여행업03_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>
56국내외여행업03_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>
67국내외여행업03_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>
78국내외여행업03_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>
89국내외여행업03_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>
910국내외여행업03_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
770771국내외여행업03_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
771772국내외여행업03_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>
772773국내외여행업03_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
773774국내외여행업03_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
774775국내외여행업03_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>
775776국내외여행업03_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
776777국내외여행업03_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
777778국내외여행업03_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
778779국내외여행업03_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>
779780국내외여행업03_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>