Overview

Dataset statistics

Number of variables63
Number of observations787
Missing cells16183
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory421.3 KiB
Average record size in memory548.2 B

Variable types

Numeric20
Categorical23
Text7
Unsupported12
DateTime1

Dataset

Description22년12월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097470&dataSetDetailId=DDI_0000097468&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (83.1%)Imbalance
주변환경명 is highly imbalanced (88.9%)Imbalance
건물용도명 is highly imbalanced (81.3%)Imbalance
지하층수 is highly imbalanced (54.6%)Imbalance
영문상호주소 is highly imbalanced (54.5%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 737 (93.6%) missing valuesMissing
폐업일자 has 502 (63.8%) missing valuesMissing
휴업시작일자 has 781 (99.2%) missing valuesMissing
휴업종료일자 has 781 (99.2%) missing valuesMissing
재개업일자 has 787 (100.0%) missing valuesMissing
소재지전화 has 233 (29.6%) missing valuesMissing
소재지면적 has 787 (100.0%) missing valuesMissing
소재지우편번호 has 393 (49.9%) missing valuesMissing
도로명전체주소 has 19 (2.4%) missing valuesMissing
도로명우편번호 has 174 (22.1%) missing valuesMissing
업태구분명 has 787 (100.0%) missing valuesMissing
좌표정보(X) has 11 (1.4%) missing valuesMissing
좌표정보(Y) has 11 (1.4%) missing valuesMissing
총층수 has 513 (65.2%) missing valuesMissing
제작취급품목내용 has 787 (100.0%) missing valuesMissing
보험기관명 has 195 (24.8%) missing valuesMissing
지상층수 has 502 (63.8%) missing valuesMissing
영문상호명 has 449 (57.1%) missing valuesMissing
선박제원 has 787 (100.0%) missing valuesMissing
기념품종류 has 787 (100.0%) missing valuesMissing
시설면적 has 506 (64.3%) missing valuesMissing
놀이기구수내역 has 787 (100.0%) missing valuesMissing
방송시설유무 has 787 (100.0%) missing valuesMissing
발전시설유무 has 787 (100.0%) missing valuesMissing
의무실유무 has 787 (100.0%) missing valuesMissing
안내소유무 has 787 (100.0%) missing valuesMissing
자본금 has 182 (23.1%) missing valuesMissing
보험시작일자 has 122 (15.5%) missing valuesMissing
보험종료일자 has 122 (15.5%) missing valuesMissing
부대시설내역 has 787 (100.0%) missing valuesMissing
시설규모 has 506 (64.3%) 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 213 (27.1%) zerosZeros
지상층수 has 213 (27.1%) zerosZeros
시설면적 has 197 (25.0%) zerosZeros
자본금 has 50 (6.4%) zerosZeros
시설규모 has 197 (25.0%) zerosZeros

Reproduction

Analysis started2023-12-10 17:48:08.471645
Analysis finished2023-12-10 17:48:11.021261
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct787
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394
Minimum1
Maximum787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:11.176418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.3
Q1197.5
median394
Q3590.5
95-th percentile747.7
Maximum787
Range786
Interquartile range (IQR)393

Descriptive statistics

Standard deviation227.33162
Coefficient of variation (CV)0.57698381
Kurtosis-1.2
Mean394
Median Absolute Deviation (MAD)197
Skewness0
Sum310078
Variance51679.667
MonotonicityStrictly increasing
2023-12-11T02:48:11.502717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
519 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
525 1
 
0.1%
526 1
 
0.1%
527 1
 
0.1%
528 1
 
0.1%
Other values (777) 777
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 (%)
787 1
0.1%
786 1
0.1%
785 1
0.1%
784 1
0.1%
783 1
0.1%
782 1
0.1%
781 1
0.1%
780 1
0.1%
779 1
0.1%
778 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
국내외여행업
787 

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 787
100.0%

Length

2023-12-11T02:48:11.841636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:12.069786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 787
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
03_12_02_P
787 

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 787
100.0%

Length

2023-12-11T02:48:12.463521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:12.831128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 787
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431893.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:13.138794image/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 deviation24450.163
Coefficient of variation (CV)0.007124395
Kurtosis-1.4161017
Mean3431893.3
Median Absolute Deviation (MAD)10000
Skewness0.51371188
Sum2.7009 × 109
Variance5.9781048 × 108
MonotonicityIncreasing
2023-12-11T02:48:13.714679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 365
46.4%
3470000 106
 
13.5%
3460000 93
 
11.8%
3450000 75
 
9.5%
3420000 74
 
9.4%
3440000 35
 
4.4%
3430000 26
 
3.3%
3480000 13
 
1.7%
ValueCountFrequency (%)
3410000 365
46.4%
3420000 74
 
9.4%
3430000 26
 
3.3%
3440000 35
 
4.4%
3450000 75
 
9.5%
3460000 93
 
11.8%
3470000 106
 
13.5%
3480000 13
 
1.7%
ValueCountFrequency (%)
3480000 13
 
1.7%
3470000 106
 
13.5%
3460000 93
 
11.8%
3450000 75
 
9.5%
3440000 35
 
4.4%
3430000 26
 
3.3%
3420000 74
 
9.4%
3410000 365
46.4%

관리번호
Text

Distinct409
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T02:48:14.291442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15740
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

Unique251 ?
Unique (%)31.9%

Sample

1st rowCDFI2260021997000002
2nd rowCDFI2260022015000014
3rd rowCDFI2260022015000015
4th rowCDFI2260022013000011
5th rowCDFI2260021993000002
ValueCountFrequency (%)
cdfi2260022022000002 7
 
0.9%
cdfi2260022021000002 7
 
0.9%
cdfi2260022022000001 7
 
0.9%
cdfi2260022015000001 7
 
0.9%
cdfi2260022016000002 6
 
0.8%
cdfi2260022016000005 6
 
0.8%
cdfi2260022007000001 6
 
0.8%
cdfi2260022018000001 6
 
0.8%
cdfi2260022010000001 6
 
0.8%
cdfi2260022018000003 6
 
0.8%
Other values (399) 723
91.9%
2023-12-11T02:48:15.522868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6367
40.5%
2 3439
21.8%
6 923
 
5.9%
1 849
 
5.4%
C 787
 
5.0%
D 787
 
5.0%
F 787
 
5.0%
I 787
 
5.0%
9 257
 
1.6%
3 166
 
1.1%
Other values (4) 591
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12592
80.0%
Uppercase Letter 3148
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6367
50.6%
2 3439
27.3%
6 923
 
7.3%
1 849
 
6.7%
9 257
 
2.0%
3 166
 
1.3%
4 161
 
1.3%
5 154
 
1.2%
8 140
 
1.1%
7 136
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 787
25.0%
D 787
25.0%
F 787
25.0%
I 787
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12592
80.0%
Latin 3148
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6367
50.6%
2 3439
27.3%
6 923
 
7.3%
1 849
 
6.7%
9 257
 
2.0%
3 166
 
1.3%
4 161
 
1.3%
5 154
 
1.2%
8 140
 
1.1%
7 136
 
1.1%
Latin
ValueCountFrequency (%)
C 787
25.0%
D 787
25.0%
F 787
25.0%
I 787
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6367
40.5%
2 3439
21.8%
6 923
 
5.9%
1 849
 
5.4%
C 787
 
5.0%
D 787
 
5.0%
F 787
 
5.0%
I 787
 
5.0%
9 257
 
1.6%
3 166
 
1.1%
Other values (4) 591
 
3.8%

인허가일자
Real number (ℝ)

Distinct713
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091998
Minimum19820922
Maximum20221202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:15.919260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820922
5-th percentile19943984
Q120040510
median20100225
Q320151026
95-th percentile20190883
Maximum20221202
Range400280
Interquartile range (IQR)110516.5

Descriptive statistics

Standard deviation76066.968
Coefficient of variation (CV)0.0037859335
Kurtosis-0.13512954
Mean20091998
Median Absolute Deviation (MAD)59497
Skewness-0.57705435
Sum1.5812402 × 1010
Variance5.7861836 × 109
MonotonicityNot monotonic
2023-12-11T02:48:16.349973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030310 10
 
1.3%
20050503 4
 
0.5%
20150925 3
 
0.4%
20120306 3
 
0.4%
20061127 3
 
0.4%
20180703 3
 
0.4%
20130418 3
 
0.4%
20150611 3
 
0.4%
20180510 3
 
0.4%
19970128 2
 
0.3%
Other values (703) 750
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 (%)
20221202 1
0.1%
20221108 1
0.1%
20220905 1
0.1%
20220831 1
0.1%
20220829 1
0.1%
20220819 1
0.1%
20220808 1
0.1%
20220805 1
0.1%
20220803 1
0.1%
20220721 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)66.0%
Missing737
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean20149664
Minimum20090325
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:16.785988image/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
2023-12-11T02:48:17.204770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20191203 7
 
0.9%
20181004 3
 
0.4%
20191120 3
 
0.4%
20111208 3
 
0.4%
20201224 2
 
0.3%
20150925 2
 
0.3%
20120201 2
 
0.3%
20190211 2
 
0.3%
20151211 2
 
0.3%
20140529 1
 
0.1%
Other values (23) 23
 
2.9%
(Missing) 737
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 size6.3 KiB
1
417 
3
287 
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 (%)
1 417
53.0%
3 287
36.5%
4 77
 
9.8%
2 6
 
0.8%

Length

2023-12-11T02:48:17.628810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:17.892630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 417
53.0%
3 287
36.5%
4 77
 
9.8%
2 6
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
417 
폐업
287 
취소/말소/만료/정지/중지
77 
휴업
 
6

Length

Max length14
Median length5
Mean length4.7636595
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 417
53.0%
폐업 287
36.5%
취소/말소/만료/정지/중지 77
 
9.8%
휴업 6
 
0.8%

Length

2023-12-11T02:48:18.174100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:18.459846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 417
53.0%
폐업 287
36.5%
취소/말소/만료/정지/중지 77
 
9.8%
휴업 6
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.095299
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:18.823514image/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 deviation8.1193273
Coefficient of variation (CV)0.73178088
Kurtosis0.99634086
Mean11.095299
Median Absolute Deviation (MAD)0
Skewness1.1104985
Sum8732
Variance65.923477
MonotonicityNot monotonic
2023-12-11T02:48:19.118358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 417
53.0%
3 285
36.2%
31 66
 
8.4%
30 11
 
1.4%
2 6
 
0.8%
34 2
 
0.3%
ValueCountFrequency (%)
2 6
 
0.8%
3 285
36.2%
13 417
53.0%
30 11
 
1.4%
31 66
 
8.4%
34 2
 
0.3%
ValueCountFrequency (%)
34 2
 
0.3%
31 66
 
8.4%
30 11
 
1.4%
13 417
53.0%
3 285
36.2%
2 6
 
0.8%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업중
417 
폐업
285 
등록취소
66 
허가취소
 
11
휴업
 
6

Length

Max length5
Median length3
Mean length2.7331639
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 417
53.0%
폐업 285
36.2%
등록취소 66
 
8.4%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

Length

2023-12-11T02:48:19.431076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:20.229689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 417
53.0%
폐업 285
36.2%
등록취소 66
 
8.4%
허가취소 11
 
1.4%
휴업 6
 
0.8%
영업장폐쇄 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)94.4%
Missing502
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean20136713
Minimum20030106
Maximum20221220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:20.551052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20042855
Q120091028
median20141222
Q320180202
95-th percentile20210926
Maximum20221220
Range191114
Interquartile range (IQR)89174

Descriptive statistics

Standard deviation51561.68
Coefficient of variation (CV)0.0025605808
Kurtosis-0.88616352
Mean20136713
Median Absolute Deviation (MAD)39894
Skewness-0.28636474
Sum5.7389631 × 109
Variance2.6586069 × 109
MonotonicityNot monotonic
2023-12-11T02:48:20.896489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080314 2
 
0.3%
20170825 2
 
0.3%
20160617 2
 
0.3%
20100407 2
 
0.3%
20190131 2
 
0.3%
20030212 2
 
0.3%
20090804 2
 
0.3%
20221220 2
 
0.3%
20121203 2
 
0.3%
20090602 2
 
0.3%
Other values (259) 265
33.7%
(Missing) 502
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 (%)
20221220 2
0.3%
20221027 1
0.1%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing781
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20108966
Minimum20020913
Maximum20221101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:21.190839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020913
5-th percentile20023388
Q120040663
median20110320
Q320157851
95-th percentile20205907
Maximum20221101
Range200188
Interquartile range (IQR)117188.25

Descriptive statistics

Standard deviation80367.11
Coefficient of variation (CV)0.003996581
Kurtosis-1.758053
Mean20108966
Median Absolute Deviation (MAD)64755.5
Skewness0.23035376
Sum1.2065379 × 108
Variance6.4588724 × 109
MonotonicityNot monotonic
2023-12-11T02:48:21.450773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20150430 1
 
0.1%
20160325 1
 
0.1%
20221101 1
 
0.1%
20070210 1
 
0.1%
20030814 1
 
0.1%
20020913 1
 
0.1%
(Missing) 781
99.2%
ValueCountFrequency (%)
20020913 1
0.1%
20030814 1
0.1%
20070210 1
0.1%
20150430 1
0.1%
20160325 1
0.1%
20221101 1
0.1%
ValueCountFrequency (%)
20221101 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%
Missing781
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20117557
Minimum20040813
Maximum20240430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:21.757461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20040838
Q120048492
median20111131
Q320158452
95-th percentile20220554
Maximum20240430
Range199617
Interquartile range (IQR)109959

Descriptive statistics

Standard deviation80011.385
Coefficient of variation (CV)0.0039771919
Kurtosis-1.0143276
Mean20117557
Median Absolute Deviation (MAD)60006
Skewness0.56959369
Sum1.2070534 × 108
Variance6.4018218 × 109
MonotonicityNot monotonic
2023-12-11T02:48:22.128992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20151031 1
 
0.1%
20160925 1
 
0.1%
20240430 1
 
0.1%
20071231 1
 
0.1%
20040813 1
 
0.1%
20040913 1
 
0.1%
(Missing) 781
99.2%
ValueCountFrequency (%)
20040813 1
0.1%
20040913 1
0.1%
20071231 1
0.1%
20151031 1
0.1%
20160925 1
0.1%
20240430 1
0.1%
ValueCountFrequency (%)
20240430 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 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

소재지전화
Text

MISSING 

Distinct544
Distinct (%)98.2%
Missing233
Missing (%)29.6%
Memory size6.3 KiB
2023-12-11T02:48:22.741054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.841155
Min length7

Characters and Unicode

Total characters6006
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

Unique534 ?
Unique (%)96.4%

Sample

1st row(053)423-0033
2nd row053-261-0055
3rd row053-421-7470
4th row424-2525
5th row053-252-5454
ValueCountFrequency (%)
053 22
 
3.7%
053-639-7878 2
 
0.3%
053-254-6885 2
 
0.3%
053-965-2884 2
 
0.3%
053-421-1323 2
 
0.3%
1600-3031 2
 
0.3%
053-741-9090 2
 
0.3%
053-428-5350 2
 
0.3%
053-964-9911 2
 
0.3%
053-421-5581 2
 
0.3%
Other values (549) 550
93.2%
2023-12-11T02:48:23.663660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 909
15.1%
5 852
14.2%
- 810
13.5%
3 706
11.8%
2 605
10.1%
4 483
8.0%
1 370
6.2%
7 355
 
5.9%
6 342
 
5.7%
8 305
 
5.1%
Other values (6) 269
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5137
85.5%
Dash Punctuation 810
 
13.5%
Space Separator 36
 
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 (%)
0 909
17.7%
5 852
16.6%
3 706
13.7%
2 605
11.8%
4 483
9.4%
1 370
7.2%
7 355
 
6.9%
6 342
 
6.7%
8 305
 
5.9%
9 210
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 810
100.0%
Space Separator
ValueCountFrequency (%)
36
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 6006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 909
15.1%
5 852
14.2%
- 810
13.5%
3 706
11.8%
2 605
10.1%
4 483
8.0%
1 370
6.2%
7 355
 
5.9%
6 342
 
5.7%
8 305
 
5.1%
Other values (6) 269
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 909
15.1%
5 852
14.2%
- 810
13.5%
3 706
11.8%
2 605
10.1%
4 483
8.0%
1 370
6.2%
7 355
 
5.9%
6 342
 
5.7%
8 305
 
5.1%
Other values (6) 269
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)47.5%
Missing393
Missing (%)49.9%
Infinite0
Infinite (%)0.0%
Mean702168.05
Minimum700010
Maximum711835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:23.987981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700150
Q1700412.25
median700821
Q3704200
95-th percentile706816.1
Maximum711835
Range11825
Interquartile range (IQR)3787.75

Descriptive statistics

Standard deviation2345.8338
Coefficient of variation (CV)0.0033408439
Kurtosis0.40800973
Mean702168.05
Median Absolute Deviation (MAD)671
Skewness1.1121879
Sum2.7665421 × 108
Variance5502936.4
MonotonicityNot monotonic
2023-12-11T02:48:24.298954image/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 18
 
2.3%
700180 11
 
1.4%
700809 7
 
0.9%
700160 7
 
0.9%
700082 5
 
0.6%
700811 5
 
0.6%
700200 5
 
0.6%
Other values (177) 258
32.8%
(Missing) 393
49.9%
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 18
2.3%
ValueCountFrequency (%)
711835 1
 
0.1%
711834 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%
706832 1
 
0.1%

소재지전체주소
Text

Distinct693
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T02:48:25.015648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length23.566709
Min length13

Characters and Unicode

Total characters18547
Distinct characters273
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

Unique633 ?
Unique (%)80.4%

Sample

1st row대구광역시 중구 문화동 11-1번지
2nd row대구광역시 중구 동인동2가 19번지 태명빌딩 4층
3rd row대구광역시 중구 삼덕동2가 210-1번지 진석타워즈 1207호
4th row대구광역시 중구 대봉동 20-50번지 대봉빌딩 6층
5th row대구광역시 중구 동산동 788-5번지 407호
ValueCountFrequency (%)
대구광역시 786
21.6%
중구 365
 
10.0%
달서구 105
 
2.9%
수성구 92
 
2.5%
동구 75
 
2.1%
북구 74
 
2.0%
동인동2가 57
 
1.6%
동인동1가 54
 
1.5%
2층 44
 
1.2%
남구 36
 
1.0%
Other values (1003) 1951
53.6%
2023-12-11T02:48:26.374661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3537
19.1%
구 1586
 
8.6%
동 1027
 
5.5%
1 996
 
5.4%
대 889
 
4.8%
시 813
 
4.4%
광 800
 
4.3%
역 789
 
4.3%
- 631
 
3.4%
2 618
 
3.3%
Other values (263) 6861
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10500
56.6%
Decimal Number 3838
 
20.7%
Space Separator 3537
 
19.1%
Dash Punctuation 631
 
3.4%
Uppercase Letter 23
 
0.1%
Other Punctuation 14
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1586
15.1%
동 1027
 
9.8%
대 889
 
8.5%
시 813
 
7.7%
광 800
 
7.6%
역 789
 
7.5%
지 395
 
3.8%
중 370
 
3.5%
번 369
 
3.5%
가 263
 
2.5%
Other values (236) 3199
30.5%
Decimal Number
ValueCountFrequency (%)
1 996
26.0%
2 618
16.1%
3 418
10.9%
0 329
 
8.6%
5 308
 
8.0%
4 281
 
7.3%
8 246
 
6.4%
7 244
 
6.4%
6 201
 
5.2%
9 197
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
17.4%
Y 3
13.0%
I 3
13.0%
C 3
13.0%
K 2
8.7%
B 2
8.7%
S 2
8.7%
D 2
8.7%
A 1
 
4.3%
H 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
/ 2
 
14.3%
· 1
 
7.1%
Space Separator
ValueCountFrequency (%)
3537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10500
56.6%
Common 8024
43.3%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1586
15.1%
동 1027
 
9.8%
대 889
 
8.5%
시 813
 
7.7%
광 800
 
7.6%
역 789
 
7.5%
지 395
 
3.8%
중 370
 
3.5%
번 369
 
3.5%
가 263
 
2.5%
Other values (236) 3199
30.5%
Common
ValueCountFrequency (%)
3537
44.1%
1 996
 
12.4%
- 631
 
7.9%
2 618
 
7.7%
3 418
 
5.2%
0 329
 
4.1%
5 308
 
3.8%
4 281
 
3.5%
8 246
 
3.1%
7 244
 
3.0%
Other values (7) 416
 
5.2%
Latin
ValueCountFrequency (%)
T 4
17.4%
Y 3
13.0%
I 3
13.0%
C 3
13.0%
K 2
8.7%
B 2
8.7%
S 2
8.7%
D 2
8.7%
A 1
 
4.3%
H 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10500
56.6%
ASCII 8046
43.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3537
44.0%
1 996
 
12.4%
- 631
 
7.8%
2 618
 
7.7%
3 418
 
5.2%
0 329
 
4.1%
5 308
 
3.8%
4 281
 
3.5%
8 246
 
3.1%
7 244
 
3.0%
Other values (16) 438
 
5.4%
Hangul
ValueCountFrequency (%)
구 1586
15.1%
동 1027
 
9.8%
대 889
 
8.5%
시 813
 
7.7%
광 800
 
7.6%
역 789
 
7.5%
지 395
 
3.8%
중 370
 
3.5%
번 369
 
3.5%
가 263
 
2.5%
Other values (236) 3199
30.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct690
Distinct (%)89.8%
Missing19
Missing (%)2.4%
Memory size6.3 KiB
2023-12-11T02:48:27.279887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length29.958333
Min length20

Characters and Unicode

Total characters23008
Distinct characters310
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

Unique636 ?
Unique (%)82.8%

Sample

1st row대구광역시 중구 국채보상로 611 (문화동)
2nd row대구광역시 중구 국채보상로 643, 4층 (동인동2가, 태명빌딩)
3rd row대구광역시 중구 동덕로 115, 1207호 (삼덕동2가, 진석타워)
4th row대구광역시 중구 달구벌대로 2202, 6층 (대봉동, 대봉빌딩)
5th row대구광역시 중구 달구벌대로 2019, 407호 (동산동)
ValueCountFrequency (%)
대구광역시 767
 
16.7%
중구 362
 
7.9%
달서구 104
 
2.3%
수성구 92
 
2.0%
2층 91
 
2.0%
동구 75
 
1.6%
국채보상로 71
 
1.5%
경상감영길 67
 
1.5%
북구 59
 
1.3%
3층 55
 
1.2%
Other values (1084) 2842
62.0%
2023-12-11T02:48:28.616628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3941
 
17.1%
구 1642
 
7.1%
동 1147
 
5.0%
대 1004
 
4.4%
1 833
 
3.6%
시 798
 
3.5%
광 784
 
3.4%
역 774
 
3.4%
) 758
 
3.3%
( 758
 
3.3%
Other values (300) 10569
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13122
57.0%
Space Separator 3941
 
17.1%
Decimal Number 3722
 
16.2%
Close Punctuation 758
 
3.3%
Open Punctuation 758
 
3.3%
Other Punctuation 578
 
2.5%
Dash Punctuation 102
 
0.4%
Uppercase Letter 26
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1642
 
12.5%
동 1147
 
8.7%
대 1004
 
7.7%
시 798
 
6.1%
광 784
 
6.0%
역 774
 
5.9%
로 709
 
5.4%
중 394
 
3.0%
층 286
 
2.2%
길 254
 
1.9%
Other values (272) 5330
40.6%
Decimal Number
ValueCountFrequency (%)
1 833
22.4%
2 720
19.3%
3 407
10.9%
0 363
9.8%
5 341
9.2%
4 275
 
7.4%
6 236
 
6.3%
7 219
 
5.9%
8 166
 
4.5%
9 162
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
T 4
15.4%
A 3
11.5%
C 3
11.5%
I 3
11.5%
Y 3
11.5%
B 2
7.7%
S 2
7.7%
K 2
7.7%
H 2
7.7%
D 2
7.7%
Other Punctuation
ValueCountFrequency (%)
, 575
99.5%
/ 2
 
0.3%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3941
100.0%
Close Punctuation
ValueCountFrequency (%)
) 758
100.0%
Open Punctuation
ValueCountFrequency (%)
( 758
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13122
57.0%
Common 9859
42.9%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1642
 
12.5%
동 1147
 
8.7%
대 1004
 
7.7%
시 798
 
6.1%
광 784
 
6.0%
역 774
 
5.9%
로 709
 
5.4%
중 394
 
3.0%
층 286
 
2.2%
길 254
 
1.9%
Other values (272) 5330
40.6%
Common
ValueCountFrequency (%)
3941
40.0%
1 833
 
8.4%
) 758
 
7.7%
( 758
 
7.7%
2 720
 
7.3%
, 575
 
5.8%
3 407
 
4.1%
0 363
 
3.7%
5 341
 
3.5%
4 275
 
2.8%
Other values (7) 888
 
9.0%
Latin
ValueCountFrequency (%)
T 4
14.8%
A 3
11.1%
C 3
11.1%
I 3
11.1%
Y 3
11.1%
B 2
7.4%
S 2
7.4%
K 2
7.4%
H 2
7.4%
D 2
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13122
57.0%
ASCII 9885
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3941
39.9%
1 833
 
8.4%
) 758
 
7.7%
( 758
 
7.7%
2 720
 
7.3%
, 575
 
5.8%
3 407
 
4.1%
0 363
 
3.7%
5 341
 
3.4%
4 275
 
2.8%
Other values (17) 914
 
9.2%
Hangul
ValueCountFrequency (%)
구 1642
 
12.5%
동 1147
 
8.7%
대 1004
 
7.7%
시 798
 
6.1%
광 784
 
6.0%
역 774
 
5.9%
로 709
 
5.4%
중 394
 
3.0%
층 286
 
2.2%
길 254
 
1.9%
Other values (272) 5330
40.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct330
Distinct (%)53.8%
Missing174
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean112995.86
Minimum40139
Maximum706140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:28.990491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40139
5-th percentile41144.6
Q141911
median41946
Q342620
95-th percentile700832
Maximum706140
Range666001
Interquartile range (IQR)709

Descriptive statistics

Standard deviation204563.63
Coefficient of variation (CV)1.810364
Kurtosis4.4547141
Mean112995.86
Median Absolute Deviation (MAD)306
Skewness2.5377306
Sum69266460
Variance4.1846278 × 1010
MonotonicityNot monotonic
2023-12-11T02:48:29.390249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 35
 
4.4%
41914 28
 
3.6%
41913 18
 
2.3%
41940 13
 
1.7%
41938 12
 
1.5%
41953 9
 
1.1%
42672 9
 
1.1%
41934 7
 
0.9%
41912 7
 
0.9%
41908 7
 
0.9%
Other values (320) 468
59.5%
(Missing) 174
 
22.1%
ValueCountFrequency (%)
40139 1
0.1%
41017 1
0.1%
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%
ValueCountFrequency (%)
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%
702853 1
0.1%

사업장명
Text

Distinct777
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T02:48:30.038495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.429479
Min length2

Characters and Unicode

Total characters6634
Distinct characters415
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

Unique767 ?
Unique (%)97.5%

Sample

1st row(주)윈항공여행사
2nd row(주)토마스투어인터내셔날
3rd row(주)오늘의여행
4th row(주)하나고속관광
5th row(주)대구대한여행사
ValueCountFrequency (%)
주식회사 55
 
5.9%
투어 14
 
1.5%
여행사 12
 
1.3%
주 9
 
1.0%
tour 4
 
0.4%
여행 3
 
0.3%
길 3
 
0.3%
주)투어하비항공여행사 2
 
0.2%
와이티이 2
 
0.2%
코리아 2
 
0.2%
Other values (815) 830
88.7%
2023-12-11T02:48:30.942394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 623
 
9.4%
( 563
 
8.5%
) 563
 
8.5%
행 369
 
5.6%
여 364
 
5.5%
사 350
 
5.3%
어 260
 
3.9%
투 255
 
3.8%
149
 
2.2%
이 129
 
1.9%
Other values (405) 3009
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5257
79.2%
Open Punctuation 563
 
8.5%
Close Punctuation 563
 
8.5%
Space Separator 149
 
2.2%
Uppercase Letter 57
 
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 623
 
11.9%
행 369
 
7.0%
여 364
 
6.9%
사 350
 
6.7%
어 260
 
4.9%
투 255
 
4.9%
이 129
 
2.5%
스 97
 
1.8%
공 91
 
1.7%
항 87
 
1.7%
Other values (360) 2632
50.1%
Uppercase Letter
ValueCountFrequency (%)
T 7
12.3%
O 6
 
10.5%
U 6
 
10.5%
E 4
 
7.0%
R 4
 
7.0%
A 4
 
7.0%
D 3
 
5.3%
S 3
 
5.3%
N 2
 
3.5%
B 2
 
3.5%
Other values (12) 16
28.1%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.3%
e 4
13.3%
i 3
10.0%
a 3
10.0%
o 3
10.0%
t 3
10.0%
u 2
6.7%
n 2
6.7%
l 2
6.7%
v 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 (%)
( 563
100.0%
Close Punctuation
ValueCountFrequency (%)
) 563
100.0%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5257
79.2%
Common 1290
 
19.4%
Latin 87
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 623
 
11.9%
행 369
 
7.0%
여 364
 
6.9%
사 350
 
6.7%
어 260
 
4.9%
투 255
 
4.9%
이 129
 
2.5%
스 97
 
1.8%
공 91
 
1.7%
항 87
 
1.7%
Other values (360) 2632
50.1%
Latin
ValueCountFrequency (%)
T 7
 
8.0%
O 6
 
6.9%
U 6
 
6.9%
E 4
 
4.6%
R 4
 
4.6%
A 4
 
4.6%
r 4
 
4.6%
e 4
 
4.6%
i 3
 
3.4%
a 3
 
3.4%
Other values (25) 42
48.3%
Common
ValueCountFrequency (%)
( 563
43.6%
) 563
43.6%
149
 
11.6%
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 5257
79.2%
ASCII 1377
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 623
 
11.9%
행 369
 
7.0%
여 364
 
6.9%
사 350
 
6.7%
어 260
 
4.9%
투 255
 
4.9%
이 129
 
2.5%
스 97
 
1.8%
공 91
 
1.7%
항 87
 
1.7%
Other values (360) 2632
50.1%
ASCII
ValueCountFrequency (%)
( 563
40.9%
) 563
40.9%
149
 
10.8%
T 7
 
0.5%
O 6
 
0.4%
U 6
 
0.4%
E 4
 
0.3%
R 4
 
0.3%
A 4
 
0.3%
r 4
 
0.3%
Other values (35) 67
 
4.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct787
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175656 × 1013
Minimum2.0030217 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:31.285526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030217 × 1013
5-th percentile2.0070645 × 1013
Q12.0141074 × 1013
median2.0200717 × 1013
Q32.0220127 × 1013
95-th percentile2.0221104 × 1013
Maximum2.022123 × 1013
Range1.91013 × 1011
Interquartile range (IQR)7.905347 × 1010

Descriptive statistics

Standard deviation5.1870911 × 1010
Coefficient of variation (CV)0.0025709653
Kurtosis-0.024138909
Mean2.0175656 × 1013
Median Absolute Deviation (MAD)2.0094978 × 1010
Skewness-1.0905036
Sum1.5878241 × 1016
Variance2.6905914 × 1021
MonotonicityNot monotonic
2023-12-11T02:48:31.648038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110420094544 1
 
0.1%
20171201093458 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%
20221221162913 1
 
0.1%
20180205144641 1
 
0.1%
Other values (777) 777
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 (%)
20221230114944 1
0.1%
20221227165734 1
0.1%
20221227153632 1
0.1%
20221227111750 1
0.1%
20221227111630 1
0.1%
20221227100959 1
0.1%
20221226153311 1
0.1%
20221222140127 1
0.1%
20221221162913 1
0.1%
20221221143334 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
U
446 
I
341 

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 446
56.7%
I 341
43.3%

Length

2023-12-11T02:48:31.945247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:32.172362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 446
56.7%
i 341
43.3%

데이터갱신일자
Date

Distinct298
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 00:40:54
2023-12-11T02:48:32.435625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:48:32.798797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct564
Distinct (%)72.7%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean343978.21
Minimum313471.66
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:33.167900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum313471.66
5-th percentile337394.83
Q1342824.85
median344447.93
Q3345119.94
95-th percentile351824.49
Maximum357888.72
Range44417.066
Interquartile range (IQR)2295.0873

Descriptive statistics

Standard deviation4082.3077
Coefficient of variation (CV)0.011867925
Kurtosis5.6666353
Mean343978.21
Median Absolute Deviation (MAD)1114.8478
Skewness-0.5187961
Sum2.6692709 × 108
Variance16665237
MonotonicityNot monotonic
2023-12-11T02:48:33.519231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136453669 23
 
2.9%
344686.25933796 18
 
2.3%
344605.61967358 11
 
1.4%
340608.886881304 9
 
1.1%
344417.802132034 9
 
1.1%
344513.064659626 6
 
0.8%
344204.5224695 6
 
0.8%
344633.379801027 6
 
0.8%
343824.014318863 5
 
0.6%
344532.26916045 5
 
0.6%
Other values (554) 678
86.1%
(Missing) 11
 
1.4%
ValueCountFrequency (%)
313471.658332689 1
0.1%
328158.162334234 1
0.1%
328166.58940738 1
0.1%
329632.740897502 1
0.1%
330718.4465195 1
0.1%
331836.336853773 1
0.1%
332391.154208888 1
0.1%
332426.05670019 1
0.1%
334458.087365177 1
0.1%
334461.497981241 1
0.1%
ValueCountFrequency (%)
357888.724162031 1
0.1%
356411.615244907 1
0.1%
356362.215227859 1
0.1%
356326.911676749 1
0.1%
355939.362329351 1
0.1%
355857.357218327 1
0.1%
355648.433221326 2
0.3%
355488.681041708 1
0.1%
354938.181776941 1
0.1%
354803.195849746 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct564
Distinct (%)72.7%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263829.56
Minimum241414.9
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:33.849968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241414.9
5-th percentile259075.62
Q1262916.95
median264330.44
Q3264664.42
95-th percentile267888.14
Maximum272714.08
Range31299.182
Interquartile range (IQR)1747.4685

Descriptive statistics

Standard deviation2735.1719
Coefficient of variation (CV)0.010367193
Kurtosis11.551283
Mean263829.56
Median Absolute Deviation (MAD)846.77154
Skewness-1.3100841
Sum2.0473174 × 108
Variance7481165.2
MonotonicityNot monotonic
2023-12-11T02:48:34.295233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.83887629 23
 
2.9%
263958.880864104 18
 
2.3%
264770.297910586 11
 
1.4%
262318.248215466 9
 
1.1%
264430.537921817 9
 
1.1%
264505.891390331 6
 
0.8%
265028.313376104 6
 
0.8%
264504.72759203 6
 
0.8%
263050.618530479 5
 
0.6%
264500.858933293 5
 
0.6%
Other values (554) 678
86.1%
(Missing) 11
 
1.4%
ValueCountFrequency (%)
241414.901954418 1
0.1%
244734.409662869 1
0.1%
247280.408451515 1
0.1%
252113.071996862 1
0.1%
256670.659941703 2
0.3%
256949.478871798 1
0.1%
256958.875427807 1
0.1%
257144.903990655 2
0.3%
257571.312586337 1
0.1%
257667.946452804 2
0.3%
ValueCountFrequency (%)
272714.084452226 1
0.1%
272684.961900213 1
0.1%
272600.06388059 1
0.1%
272504.525242214 1
0.1%
272458.214110038 1
0.1%
272441.576799004 1
0.1%
272431.249957117 1
0.1%
272288.787577805 1
0.1%
272277.564167233 1
0.1%
271301.184345932 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
국내외여행업
787 

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 787
100.0%

Length

2023-12-11T02:48:34.613808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:34.834532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 787
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
423 
관광사업
364 

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> 423
53.7%
관광사업 364
46.3%

Length

2023-12-11T02:48:35.080839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:35.325454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 423
53.7%
관광사업 364
46.3%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
732 
일반주거지역
 
19
근린상업지역
 
14
상업지역
 
8
일반상업지역
 
6
Other values (4)
 
8

Length

Max length6
Median length4
Mean length4.1143583
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> 732
93.0%
일반주거지역 19
 
2.4%
근린상업지역 14
 
1.8%
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

2023-12-11T02:48:35.657355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:35.986243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 732
93.0%
일반주거지역 19
 
2.4%
근린상업지역 14
 
1.8%
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 (%)5.5%
Missing513
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean2.4270073
Minimum0
Maximum402
Zeros213
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:36.296329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation24.345276
Coefficient of variation (CV)10.030986
Kurtosis268.67934
Mean2.4270073
Median Absolute Deviation (MAD)0
Skewness16.315402
Sum665
Variance592.69245
MonotonicityNot monotonic
2023-12-11T02:48:36.653406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 213
27.1%
3 13
 
1.7%
5 10
 
1.3%
2 10
 
1.3%
1 8
 
1.0%
4 7
 
0.9%
6 3
 
0.4%
10 2
 
0.3%
12 2
 
0.3%
13 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 513
65.2%
ValueCountFrequency (%)
0 213
27.1%
1 8
 
1.0%
2 10
 
1.3%
3 13
 
1.7%
4 7
 
0.9%
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 size6.3 KiB
<NA>
762 
기타
 
13
아파트지역
 
6
주택가주변
 
4
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9872935
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> 762
96.8%
기타 13
 
1.7%
아파트지역 6
 
0.8%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

Length

2023-12-11T02:48:37.579288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:37.860090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 762
96.8%
기타 13
 
1.7%
아파트지역 6
 
0.8%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

보험기관명
Text

MISSING 

Distinct245
Distinct (%)41.4%
Missing195
Missing (%)24.8%
Memory size6.3 KiB
2023-12-11T02:48:38.673826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.054054
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

Unique229 ?
Unique (%)38.7%

Sample

1st row서울보증보험 661-61-00314
2nd row서울보증보험 553-86-00226
3rd row서울보증보험 504-86-07931
4th row서울보증보험 504-85-15620
5th row서울보증보험 504-86-11037
ValueCountFrequency (%)
서울보증보험 321
36.6%
관광협회 76
 
8.7%
한국관광협회중앙회 73
 
8.3%
여행공제회 57
 
6.5%
서울보증보험주식회사 39
 
4.5%
관광공제회 29
 
3.3%
한국관광협회 18
 
2.1%
대구광역시관광협회 6
 
0.7%
서울보증보험(주 4
 
0.5%
관광협회공제 3
 
0.3%
Other values (238) 250
28.5%
2023-12-11T02:48:39.874888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 751
 
10.5%
- 444
 
6.2%
0 408
 
5.7%
회 402
 
5.6%
서 378
 
5.3%
증 378
 
5.3%
울 378
 
5.3%
험 373
 
5.2%
1 330
 
4.6%
8 309
 
4.3%
Other values (37) 2985
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4137
58.0%
Decimal Number 2238
31.4%
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 751
18.2%
회 402
9.7%
서 378
9.1%
증 378
9.1%
울 378
9.1%
험 373
9.0%
광 230
 
5.6%
관 219
 
5.3%
협 191
 
4.6%
한 96
 
2.3%
Other values (19) 741
17.9%
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 4137
58.0%
Common 2990
41.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 751
18.2%
회 402
9.7%
서 378
9.1%
증 378
9.1%
울 378
9.1%
험 373
9.0%
광 230
 
5.6%
관 219
 
5.3%
협 191
 
4.6%
한 96
 
2.3%
Other values (19) 741
17.9%
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 4137
58.0%
ASCII 2999
42.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 751
18.2%
회 402
9.7%
서 378
9.1%
증 378
9.1%
울 378
9.1%
험 373
9.0%
광 230
 
5.6%
관 219
 
5.3%
협 191
 
4.6%
한 96
 
2.3%
Other values (19) 741
17.9%
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 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
720 
근린생활시설
 
49
사무실
 
12
유통시설
 
3
위험물저장시설
 
1
Other values (2)
 
2

Length

Max length7
Median length4
Mean length4.115629
Min length3

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 720
91.5%
근린생활시설 49
 
6.2%
사무실 12
 
1.5%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%

Length

2023-12-11T02:48:40.263343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:40.602595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 720
91.5%
근린생활시설 49
 
6.2%
사무실 12
 
1.5%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)5.3%
Missing502
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean0.96842105
Minimum0
Maximum21
Zeros213
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:41.001639image/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 deviation2.5513845
Coefficient of variation (CV)2.6345818
Kurtosis27.223812
Mean0.96842105
Median Absolute Deviation (MAD)0
Skewness4.6011106
Sum276
Variance6.5095626
MonotonicityNot monotonic
2023-12-11T02:48:41.348192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 213
27.1%
2 19
 
2.4%
1 16
 
2.0%
4 10
 
1.3%
3 10
 
1.3%
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) 502
63.8%
ValueCountFrequency (%)
0 213
27.1%
1 16
 
2.0%
2 19
 
2.4%
3 10
 
1.3%
4 10
 
1.3%
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 size6.3 KiB
<NA>
539 
0
228 
1
 
14
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.0546379
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> 539
68.5%
0 228
29.0%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

Length

2023-12-11T02:48:41.699700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:42.001502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 539
68.5%
0 228
29.0%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:42.328787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:42.609141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:42.912733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:43.186134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

영문상호명
Text

MISSING 

Distinct338
Distinct (%)100.0%
Missing449
Missing (%)57.1%
Memory size6.3 KiB
2023-12-11T02:48:43.927780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length19.792899
Min length3

Characters and Unicode

Total characters6690
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

Unique338 ?
Unique (%)100.0%

Sample

1st rowTHOMAS TOUR INTERNATIONAL CO.,LTD
2nd rowTODAY'S TOUR CO.,LTD
3rd rowHANA EXPRESS TRAVEL CO.,LTD
4th rowTOMATO TOUR CO.,LTD
5th rowSMILE TOUR CO.,LTD
ValueCountFrequency (%)
tour 169
 
14.7%
co.,ltd 135
 
11.8%
ltd 92
 
8.0%
co 91
 
7.9%
travel 86
 
7.5%
world 16
 
1.4%
co.ltd 15
 
1.3%
daegu 15
 
1.3%
air 13
 
1.1%
agency 11
 
1.0%
Other values (384) 505
44.0%
2023-12-11T02:48:45.118011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
812
 
12.1%
O 560
 
8.4%
T 557
 
8.3%
L 418
 
6.2%
R 377
 
5.6%
A 316
 
4.7%
C 310
 
4.6%
E 297
 
4.4%
. 290
 
4.3%
D 288
 
4.3%
Other values (50) 2465
36.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4570
68.3%
Space Separator 812
 
12.1%
Lowercase Letter 754
 
11.3%
Other Punctuation 518
 
7.7%
Dash Punctuation 16
 
0.2%
Decimal Number 10
 
0.1%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 560
12.3%
T 557
12.2%
L 418
9.1%
R 377
 
8.2%
A 316
 
6.9%
C 310
 
6.8%
E 297
 
6.5%
D 288
 
6.3%
U 273
 
6.0%
N 199
 
4.4%
Other values (15) 975
21.3%
Lowercase Letter
ValueCountFrequency (%)
o 118
15.6%
t 81
10.7%
r 67
8.9%
e 65
8.6%
a 61
8.1%
d 58
7.7%
n 50
 
6.6%
u 48
 
6.4%
i 34
 
4.5%
l 34
 
4.5%
Other values (14) 138
18.3%
Other Punctuation
ValueCountFrequency (%)
. 290
56.0%
, 218
42.1%
& 9
 
1.7%
' 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
2 2
 
20.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5324
79.6%
Common 1366
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 560
 
10.5%
T 557
 
10.5%
L 418
 
7.9%
R 377
 
7.1%
A 316
 
5.9%
C 310
 
5.8%
E 297
 
5.6%
D 288
 
5.4%
U 273
 
5.1%
N 199
 
3.7%
Other values (39) 1729
32.5%
Common
ValueCountFrequency (%)
812
59.4%
. 290
 
21.2%
, 218
 
16.0%
- 16
 
1.2%
& 9
 
0.7%
1 7
 
0.5%
( 5
 
0.4%
) 5
 
0.4%
2 2
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
812
 
12.1%
O 560
 
8.4%
T 557
 
8.3%
L 418
 
6.2%
R 377
 
5.6%
A 316
 
4.7%
C 310
 
4.6%
E 297
 
4.4%
. 290
 
4.3%
D 288
 
4.3%
Other values (50) 2465
36.8%

영문상호주소
Categorical

IMBALANCE 

Distinct19
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
452 
Overseas travel business
174 
Overseas Travel Agency
66 
Overseas Travel business
 
38
Domestic and Overseas travel business
 
22
Other values (14)
 
35

Length

Max length43
Median length4
Mean length12.76493
Min length4

Unique

Unique9 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 452
57.4%
Overseas travel business 174
 
22.1%
Overseas Travel Agency 66
 
8.4%
Overseas Travel business 38
 
4.8%
Domestic and Overseas travel business 22
 
2.8%
OVERSEAS TRAVEL AGENCY 13
 
1.7%
Domestic & Overseas Travel Business 5
 
0.6%
Overseas Travel Business 4
 
0.5%
Overseas Travel agency 2
 
0.3%
overseas travel agency 2
 
0.3%
Other values (9) 9
 
1.1%

Length

2023-12-11T02:48:45.494621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 452
29.9%
travel 334
22.1%
overseas 329
21.8%
business 245
16.2%
agency 88
 
5.8%
domestic 28
 
1.9%
and 22
 
1.5%
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 size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:45.807469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:46.124049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:46.407138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:46.676625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:46.962308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:47.212745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:47.514019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:47.829258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:48.093578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:48.321552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)26.7%
Missing506
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean49.276619
Minimum0
Maximum5980.8
Zeros197
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:48.606463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320.25
95-th percentile120
Maximum5980.8
Range5980.8
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation365.08734
Coefficient of variation (CV)7.4089364
Kurtosis251.33662
Mean49.276619
Median Absolute Deviation (MAD)0
Skewness15.496741
Sum13846.73
Variance133288.76
MonotonicityNot monotonic
2023-12-11T02:48:48.956194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 197
 
25.0%
66.0 4
 
0.5%
33.0 2
 
0.3%
10.0 2
 
0.3%
36.57 2
 
0.3%
49.5 2
 
0.3%
99.17 2
 
0.3%
99.0 2
 
0.3%
19.8 2
 
0.3%
33.6 1
 
0.1%
Other values (65) 65
 
8.3%
(Missing) 506
64.3%
ValueCountFrequency (%)
0.0 197
25.0%
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 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
553 
0
234 

Length

Max length4
Median length4
Mean length3.1080051
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> 553
70.3%
0 234
29.7%

Length

2023-12-11T02:48:49.248864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:49.540960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
70.3%
0 234
29.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
786 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0050826
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> 786
99.9%
20150101 1
 
0.1%

Length

2023-12-11T02:48:49.833008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:50.158091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 786
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
786 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0050826
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> 786
99.9%
20151231 1
 
0.1%

Length

2023-12-11T02:48:50.682962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:50.985911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 786
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)10.1%
Missing182
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean92310697
Minimum0
Maximum1.8854 × 109
Zeros50
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:51.307207image/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 deviation1.2116965 × 108
Coefficient of variation (CV)1.3126285
Kurtosis120.63159
Mean92310697
Median Absolute Deviation (MAD)30000000
Skewness9.7463028
Sum5.5847971 × 1010
Variance1.4682083 × 1016
MonotonicityNot monotonic
2023-12-11T02:48:51.679019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 211
26.8%
60000000 100
12.7%
150000000 50
 
6.4%
0 50
 
6.4%
90000000 45
 
5.7%
30000000 37
 
4.7%
50000000 17
 
2.2%
70000000 13
 
1.7%
45000000 12
 
1.5%
200000000 6
 
0.8%
Other values (51) 64
 
8.1%
(Missing) 182
23.1%
ValueCountFrequency (%)
0 50
6.4%
100 1
 
0.1%
6000 1
 
0.1%
600000 1
 
0.1%
10000000 4
 
0.5%
30000000 37
4.7%
30089983 1
 
0.1%
31449793 1
 
0.1%
32140000 1
 
0.1%
34000000 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 

Distinct592
Distinct (%)89.0%
Missing122
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean20177111
Minimum20020313
Maximum20230127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:52.015181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080315
Q120151220
median20191216
Q320210617
95-th percentile20220821
Maximum20230127
Range209814
Interquartile range (IQR)59397

Descriptive statistics

Standard deviation47105.722
Coefficient of variation (CV)0.0023346118
Kurtosis0.99361429
Mean20177111
Median Absolute Deviation (MAD)21094
Skewness-1.3104149
Sum1.3417779 × 1010
Variance2.218949 × 109
MonotonicityNot monotonic
2023-12-11T02:48:52.279323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210601 7
 
0.9%
20220601 4
 
0.5%
20210608 4
 
0.5%
20210607 3
 
0.4%
20220610 3
 
0.4%
20210604 3
 
0.4%
20200818 3
 
0.4%
20190725 2
 
0.3%
20191114 2
 
0.3%
20210419 2
 
0.3%
Other values (582) 632
80.3%
(Missing) 122
 
15.5%
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 (%)
20230127 1
0.1%
20221231 1
0.1%
20221230 1
0.1%
20221228 2
0.3%
20221211 1
0.1%
20221201 1
0.1%
20221128 1
0.1%
20221122 1
0.1%
20221116 1
0.1%
20221113 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct600
Distinct (%)90.2%
Missing122
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean20187590
Minimum20030313
Maximum20240630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:52.589050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090363
Q120161123
median20210109
Q320220719
95-th percentile20230829
Maximum20240630
Range210317
Interquartile range (IQR)59596

Descriptive statistics

Standard deviation47287.556
Coefficient of variation (CV)0.0023424072
Kurtosis0.98438459
Mean20187590
Median Absolute Deviation (MAD)20221
Skewness-1.3115166
Sum1.3424747 × 1010
Variance2.236113 × 109
MonotonicityNot monotonic
2023-12-11T02:48:52.884963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 7
 
0.9%
20230531 4
 
0.5%
20220604 3
 
0.4%
20210817 3
 
0.4%
20230609 3
 
0.4%
20230614 3
 
0.4%
20220607 3
 
0.4%
20230611 3
 
0.4%
20220127 2
 
0.3%
20220110 2
 
0.3%
Other values (590) 632
80.3%
(Missing) 122
 
15.5%
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%
20240127 1
0.1%
20231231 1
0.1%
20231230 1
0.1%
20231228 2
0.3%
20231211 1
0.1%
20231130 1
0.1%
20231128 1
0.1%
20231123 1
0.1%
20231118 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing787
Missing (%)100.0%
Memory size7.0 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)21.4%
Missing506
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean49.295374
Minimum0
Maximum5981
Zeros197
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T02:48:53.168550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile120
Maximum5981
Range5981
Interquartile range (IQR)20

Descriptive statistics

Standard deviation365.1023
Coefficient of variation (CV)7.4064211
Kurtosis251.3261
Mean49.295374
Median Absolute Deviation (MAD)0
Skewness15.496285
Sum13852
Variance133299.69
MonotonicityNot monotonic
2023-12-11T02:48:53.528591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 197
 
25.0%
99 4
 
0.5%
66 4
 
0.5%
10 3
 
0.4%
50 3
 
0.4%
20 3
 
0.4%
34 2
 
0.3%
18 2
 
0.3%
26 2
 
0.3%
142 2
 
0.3%
Other values (50) 59
 
7.5%
(Missing) 506
64.3%
ValueCountFrequency (%)
0 197
25.0%
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_P3410000CDFI226002199700000219970128201102094취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>(053)423-0033<NA>700160대구광역시 중구 문화동 11-1번지대구광역시 중구 국채보상로 611 (문화동)<NA>(주)윈항공여행사20110420094544I2018-08-31 23:59:59.0<NA>344223.636477264597.611089국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12국내외여행업03_12_02_P3410000CDFI226002201500001420150827201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 19번지 태명빌딩 4층대구광역시 중구 국채보상로 643, 4층 (동인동2가, 태명빌딩)41914(주)토마스투어인터내셔날20190211094909U2019-02-13 02:40:00.0<NA>344532.26916264500.858933국내외여행업<NA><NA><NA><NA><NA>서울보증보험 661-61-00314<NA><NA><NA><NA><NA>THOMAS TOUR INTERNATIONAL CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002015122320161222<NA><NA>
23국내외여행업03_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>
34국내외여행업03_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>
45국내외여행업03_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><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010091720110917<NA><NA>
56국내외여행업03_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>
67국내외여행업03_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>
78국내외여행업03_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>
89국내외여행업03_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>
910국내외여행업03_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
777778국내외여행업03_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>335052.664454256949.478872국내외여행업관광사업<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
778779국내외여행업03_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>
779780국내외여행업03_12_02_P3480000CDFI226002201100000120111226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 동곡리 129-10 1층대구광역시 달성군 하빈면 달구벌대로55길 82, 1층42903주식회사 더힐링투어20221129164207U2022-12-01 02:40:00.0<NA>328166.589407265160.109482국내외여행업<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
780781국내외여행업03_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
781782국내외여행업03_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>
782783국내외여행업03_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>329632.740898252113.071997국내외여행업<NA>자연녹지지역<NA>기타<NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51.7<NA><NA><NA><NA><NA><NA><NA><NA>1000000002018041220190412<NA>52
783784국내외여행업03_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
784785국내외여행업03_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
785786국내외여행업03_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>331836.336854263114.004828국내외여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002020030320210303<NA><NA>
786787국내외여행업03_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>328158.162334241414.901954국내외여행업<NA><NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA>Shinsegae Tour Co.,LtdOversea Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017012220180122<NA><NA>