Overview

Dataset statistics

Number of variables63
Number of observations770
Missing cells16052
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory412.2 KiB
Average record size in memory548.2 B

Variable types

Numeric20
Categorical23
Text7
Unsupported12
DateTime1

Dataset

Description22년05월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093621&dataSetDetailId=DDI_0000093619&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (83.3%)Imbalance
주변환경명 is highly imbalanced (89.1%)Imbalance
건물용도명 is highly imbalanced (81.9%)Imbalance
지하층수 is highly imbalanced (60.5%)Imbalance
영문상호주소 is highly imbalanced (55.6%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 720 (93.5%) missing valuesMissing
폐업일자 has 494 (64.2%) missing valuesMissing
휴업시작일자 has 763 (99.1%) missing valuesMissing
휴업종료일자 has 763 (99.1%) missing valuesMissing
재개업일자 has 770 (100.0%) missing valuesMissing
소재지전화 has 220 (28.6%) missing valuesMissing
소재지면적 has 770 (100.0%) missing valuesMissing
소재지우편번호 has 370 (48.1%) missing valuesMissing
도로명전체주소 has 19 (2.5%) missing valuesMissing
도로명우편번호 has 175 (22.7%) missing valuesMissing
업태구분명 has 770 (100.0%) missing valuesMissing
총층수 has 564 (73.2%) missing valuesMissing
제작취급품목내용 has 770 (100.0%) missing valuesMissing
보험기관명 has 187 (24.3%) missing valuesMissing
지상층수 has 554 (71.9%) missing valuesMissing
영문상호명 has 439 (57.0%) missing valuesMissing
선박제원 has 770 (100.0%) missing valuesMissing
기념품종류 has 770 (100.0%) missing valuesMissing
시설면적 has 552 (71.7%) missing valuesMissing
놀이기구수내역 has 770 (100.0%) missing valuesMissing
방송시설유무 has 770 (100.0%) missing valuesMissing
발전시설유무 has 770 (100.0%) missing valuesMissing
의무실유무 has 770 (100.0%) missing valuesMissing
안내소유무 has 770 (100.0%) missing valuesMissing
자본금 has 194 (25.2%) missing valuesMissing
보험시작일자 has 116 (15.1%) missing valuesMissing
보험종료일자 has 116 (15.1%) missing valuesMissing
부대시설내역 has 770 (100.0%) missing valuesMissing
시설규모 has 552 (71.7%) 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 146 (19.0%) zerosZeros
지상층수 has 145 (18.8%) zerosZeros
시설면적 has 135 (17.5%) zerosZeros
자본금 has 32 (4.2%) zerosZeros
시설규모 has 135 (17.5%) zerosZeros

Reproduction

Analysis started2024-04-21 09:38:23.794048
Analysis finished2024-04-21 09:38:25.647138
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.5
Minimum1
Maximum770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:25.775954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.45
Q1193.25
median385.5
Q3577.75
95-th percentile731.55
Maximum770
Range769
Interquartile range (IQR)384.5

Descriptive statistics

Standard deviation222.42414
Coefficient of variation (CV)0.57697573
Kurtosis-1.2
Mean385.5
Median Absolute Deviation (MAD)192.5
Skewness0
Sum296835
Variance49472.5
MonotonicityStrictly increasing
2024-04-21T18:38:26.044067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
579 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
Other values (760) 760
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 (%)
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%
762 1
0.1%
761 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
국내외여행업
770 

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 770
100.0%

Length

2024-04-21T18:38:26.301134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:26.600939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 770
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
03_12_02_P
770 

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 770
100.0%

Length

2024-04-21T18:38:26.837199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:27.138500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 770
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431662.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:27.427782image/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 deviation24401.076
Coefficient of variation (CV)0.0071105701
Kurtosis-1.4060799
Mean3431662.3
Median Absolute Deviation (MAD)10000
Skewness0.52721491
Sum2.64238 × 109
Variance5.9541249 × 108
MonotonicityIncreasing
2024-04-21T18:38:27.814437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 361
46.9%
3470000 102
 
13.2%
3460000 92
 
11.9%
3420000 73
 
9.5%
3450000 72
 
9.4%
3440000 35
 
4.5%
3430000 23
 
3.0%
3480000 12
 
1.6%
ValueCountFrequency (%)
3410000 361
46.9%
3420000 73
 
9.5%
3430000 23
 
3.0%
3440000 35
 
4.5%
3450000 72
 
9.4%
3460000 92
 
11.9%
3470000 102
 
13.2%
3480000 12
 
1.6%
ValueCountFrequency (%)
3480000 12
 
1.6%
3470000 102
 
13.2%
3460000 92
 
11.9%
3450000 72
 
9.4%
3440000 35
 
4.5%
3430000 23
 
3.0%
3420000 73
 
9.5%
3410000 361
46.9%
Distinct406
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-21T18:38:28.534202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15400
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 (%)32.9%

Sample

1st rowCDFI2260021993000002
2nd rowCDFI2260022014000016
3rd rowCDFI2260022014000001
4th rowCDFI2260022014000004
5th rowCDFI2260022005000006
ValueCountFrequency (%)
cdfi2260022021000002 7
 
0.9%
cdfi2260022021000001 7
 
0.9%
cdfi2260022015000001 7
 
0.9%
cdfi2260022010000001 6
 
0.8%
cdfi2260022016000002 6
 
0.8%
cdfi2260022007000001 6
 
0.8%
cdfi2260022016000005 6
 
0.8%
cdfi2260022018000003 6
 
0.8%
cdfi2260022018000002 6
 
0.8%
cdfi2260022018000001 6
 
0.8%
Other values (396) 707
91.8%
2024-04-21T18:38:29.348908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6233
40.5%
2 3324
21.6%
6 908
 
5.9%
1 848
 
5.5%
C 770
 
5.0%
D 770
 
5.0%
F 770
 
5.0%
I 770
 
5.0%
9 258
 
1.7%
3 163
 
1.1%
Other values (4) 586
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12320
80.0%
Uppercase Letter 3080
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6233
50.6%
2 3324
27.0%
6 908
 
7.4%
1 848
 
6.9%
9 258
 
2.1%
3 163
 
1.3%
4 163
 
1.3%
5 150
 
1.2%
8 139
 
1.1%
7 134
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 770
25.0%
D 770
25.0%
F 770
25.0%
I 770
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12320
80.0%
Latin 3080
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6233
50.6%
2 3324
27.0%
6 908
 
7.4%
1 848
 
6.9%
9 258
 
2.1%
3 163
 
1.3%
4 163
 
1.3%
5 150
 
1.2%
8 139
 
1.1%
7 134
 
1.1%
Latin
ValueCountFrequency (%)
C 770
25.0%
D 770
25.0%
F 770
25.0%
I 770
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6233
40.5%
2 3324
21.6%
6 908
 
5.9%
1 848
 
5.5%
C 770
 
5.0%
D 770
 
5.0%
F 770
 
5.0%
I 770
 
5.0%
9 258
 
1.7%
3 163
 
1.1%
Other values (4) 586
 
3.8%

인허가일자
Real number (ℝ)

Distinct696
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20089507
Minimum19820922
Maximum20220523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:29.782420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820922
5-th percentile19940884
Q120040401
median20090963
Q320150790
95-th percentile20186121
Maximum20220523
Range399601
Interquartile range (IQR)110389

Descriptive statistics

Standard deviation74750.359
Coefficient of variation (CV)0.0037208658
Kurtosis-0.11314605
Mean20089507
Median Absolute Deviation (MAD)59650.5
Skewness-0.61747011
Sum1.546892 × 1010
Variance5.5876162 × 109
MonotonicityNot monotonic
2024-04-21T18:38:30.042864image/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%
20150611 3
 
0.4%
20120306 3
 
0.4%
20130418 3
 
0.4%
20180510 3
 
0.4%
20180703 3
 
0.4%
20150925 3
 
0.4%
20160331 2
 
0.3%
Other values (686) 733
95.2%
ValueCountFrequency (%)
19820922 1
0.1%
19870907 1
0.1%
19871221 1
0.1%
19880209 1
0.1%
19880401 1
0.1%
19890220 1
0.1%
19890302 1
0.1%
19890308 2
0.3%
19890609 1
0.1%
19890804 1
0.1%
ValueCountFrequency (%)
20220523 1
0.1%
20220407 1
0.1%
20220107 1
0.1%
20211111 1
0.1%
20210924 1
0.1%
20210628 1
0.1%
20210622 1
0.1%
20210614 1
0.1%
20210609 1
0.1%
20210607 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)66.0%
Missing720
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean20149664
Minimum20090325
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:30.292582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation37408.576
Coefficient of variation (CV)0.001856536
Kurtosis-1.5821128
Mean20149664
Median Absolute Deviation (MAD)39989.5
Skewness-0.057509308
Sum1.0074832 × 109
Variance1.3994016 × 109
MonotonicityNot monotonic
2024-04-21T18:38:30.523193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20191203 7
 
0.9%
20111208 3
 
0.4%
20191120 3
 
0.4%
20181004 3
 
0.4%
20201224 2
 
0.3%
20150925 2
 
0.3%
20190211 2
 
0.3%
20120201 2
 
0.3%
20151211 2
 
0.3%
20140529 1
 
0.1%
Other values (23) 23
 
3.0%
(Missing) 720
93.5%
ValueCountFrequency (%)
20090325 1
0.1%
20090806 1
0.1%
20091229 1
0.1%
20100118 1
0.1%
20100416 1
0.1%
20101112 1
0.1%
20110105 1
0.1%
20110207 1
0.1%
20110209 1
0.1%
20110628 1
0.1%
ValueCountFrequency (%)
20201224 2
 
0.3%
20191230 1
 
0.1%
20191220 1
 
0.1%
20191219 1
 
0.1%
20191203 7
0.9%
20191120 3
0.4%
20190211 2
 
0.3%
20181004 3
0.4%
20151211 2
 
0.3%
20150925 2
 
0.3%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
1
408 
3
278 
4
77 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 408
53.0%
3 278
36.1%
4 77
 
10.0%
2 7
 
0.9%

Length

2024-04-21T18:38:30.740034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:30.914137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 408
53.0%
3 278
36.1%
4 77
 
10.0%
2 7
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업/정상
408 
폐업
278 
취소/말소/만료/정지/중지
77 
휴업
 
7

Length

Max length14
Median length5
Mean length4.7896104
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 408
53.0%
폐업 278
36.1%
취소/말소/만료/정지/중지 77
 
10.0%
휴업 7
 
0.9%

Length

2024-04-21T18:38:31.120542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:31.314207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 408
53.0%
폐업 278
36.1%
취소/말소/만료/정지/중지 77
 
10.0%
휴업 7
 
0.9%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.155844
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:31.479614image/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 deviation8.1654939
Coefficient of variation (CV)0.73194765
Kurtosis0.95086795
Mean11.155844
Median Absolute Deviation (MAD)0
Skewness1.1031476
Sum8590
Variance66.675291
MonotonicityNot monotonic
2024-04-21T18:38:31.648455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 408
53.0%
3 276
35.8%
31 66
 
8.6%
30 11
 
1.4%
2 7
 
0.9%
34 2
 
0.3%
ValueCountFrequency (%)
2 7
 
0.9%
3 276
35.8%
13 408
53.0%
30 11
 
1.4%
31 66
 
8.6%
34 2
 
0.3%
ValueCountFrequency (%)
34 2
 
0.3%
31 66
 
8.6%
30 11
 
1.4%
13 408
53.0%
3 276
35.8%
2 7
 
0.9%
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업중
408 
폐업
276 
등록취소
66 
허가취소
 
11
휴업
 
7

Length

Max length5
Median length3
Mean length2.7376623
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 408
53.0%
폐업 276
35.8%
등록취소 66
 
8.6%
허가취소 11
 
1.4%
휴업 7
 
0.9%
영업장폐쇄 2
 
0.3%

Length

2024-04-21T18:38:31.865443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:32.065666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 408
53.0%
폐업 276
35.8%
등록취소 66
 
8.6%
허가취소 11
 
1.4%
휴업 7
 
0.9%
영업장폐쇄 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct261
Distinct (%)94.6%
Missing494
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean20133969
Minimum20030106
Maximum20220126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:32.311142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20041012
Q120090898
median20140718
Q320171124
95-th percentile20201224
Maximum20220126
Range190020
Interquartile range (IQR)80225.25

Descriptive statistics

Standard deviation50064.066
Coefficient of variation (CV)0.0024865473
Kurtosis-0.89297131
Mean20133969
Median Absolute Deviation (MAD)39697
Skewness-0.31384398
Sum5.5569755 × 109
Variance2.5064107 × 109
MonotonicityNot monotonic
2024-04-21T18:38:32.577157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161215 2
 
0.3%
20160804 2
 
0.3%
20110829 2
 
0.3%
20121203 2
 
0.3%
20190131 2
 
0.3%
20160617 2
 
0.3%
20170825 2
 
0.3%
20110201 2
 
0.3%
20100407 2
 
0.3%
20030212 2
 
0.3%
Other values (251) 256
33.2%
(Missing) 494
64.2%
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 (%)
20220126 1
0.1%
20211231 1
0.1%
20211015 1
0.1%
20211008 1
0.1%
20210928 1
0.1%
20210927 1
0.1%
20210924 1
0.1%
20210531 1
0.1%
20210420 1
0.1%
20210128 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing763
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20122131
Minimum20020913
Maximum20211122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:32.799297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020913
5-th percentile20023883
Q120050512
median20150430
Q320185714
95-th percentile20211117
Maximum20211122
Range190209
Interquartile range (IQR)135202.5

Descriptive statistics

Standard deviation81009.131
Coefficient of variation (CV)0.0040258723
Kurtosis-2.0417231
Mean20122131
Median Absolute Deviation (MAD)60692
Skewness-0.19794081
Sum1.4085492 × 108
Variance6.5624794 × 109
MonotonicityNot monotonic
2024-04-21T18:38:32.989578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
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%
20211104 1
 
0.1%
(Missing) 763
99.1%
ValueCountFrequency (%)
20020913 1
0.1%
20030814 1
0.1%
20070210 1
0.1%
20150430 1
0.1%
20160325 1
0.1%
20211104 1
0.1%
20211122 1
0.1%
ValueCountFrequency (%)
20211122 1
0.1%
20211104 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 

Distinct7
Distinct (%)100.0%
Missing763
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20129409
Minimum20040813
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:33.181263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20040843
Q120056072
median20151031
Q320190678
95-th percentile20220493
Maximum20220520
Range179707
Interquartile range (IQR)134605.5

Descriptive statistics

Standard deviation78647.186
Coefficient of variation (CV)0.0039070787
Kurtosis-2.0681865
Mean20129409
Median Absolute Deviation (MAD)69489
Skewness-0.016092115
Sum1.4090586 × 108
Variance6.1853798 × 109
MonotonicityNot monotonic
2024-04-21T18:38:33.373386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
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%
20220430 1
 
0.1%
(Missing) 763
99.1%
ValueCountFrequency (%)
20040813 1
0.1%
20040913 1
0.1%
20071231 1
0.1%
20151031 1
0.1%
20160925 1
0.1%
20220430 1
0.1%
20220520 1
0.1%
ValueCountFrequency (%)
20220520 1
0.1%
20220430 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 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Text

MISSING 

Distinct541
Distinct (%)98.4%
Missing220
Missing (%)28.6%
Memory size6.1 KiB
2024-04-21T18:38:34.168608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.790909
Min length7

Characters and Unicode

Total characters5935
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

Unique532 ?
Unique (%)96.7%

Sample

1st row053-421-7470
2nd row424-2525
3rd row053-252-5454
4th row053-254-6885
5th row053-753-9400
ValueCountFrequency (%)
053 23
 
3.9%
1600-3031 2
 
0.3%
053-964-9911 2
 
0.3%
053-428-5350 2
 
0.3%
053-639-7878 2
 
0.3%
053-421-1323 2
 
0.3%
053-421-5581 2
 
0.3%
053-422-9925 2
 
0.3%
053-254-6885 2
 
0.3%
053-965-2884 2
 
0.3%
Other values (546) 546
93.0%
2024-04-21T18:38:35.179248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 898
15.1%
5 844
14.2%
- 793
13.4%
3 697
11.7%
2 594
10.0%
4 480
8.1%
1 369
6.2%
7 352
 
5.9%
6 333
 
5.6%
8 306
 
5.2%
Other values (6) 269
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5082
85.6%
Dash Punctuation 793
 
13.4%
Space Separator 37
 
0.6%
Close Punctuation 10
 
0.2%
Open Punctuation 7
 
0.1%
Math Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 898
17.7%
5 844
16.6%
3 697
13.7%
2 594
11.7%
4 480
9.4%
1 369
7.3%
7 352
 
6.9%
6 333
 
6.6%
8 306
 
6.0%
9 209
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 793
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 898
15.1%
5 844
14.2%
- 793
13.4%
3 697
11.7%
2 594
10.0%
4 480
8.1%
1 369
6.2%
7 352
 
5.9%
6 333
 
5.6%
8 306
 
5.2%
Other values (6) 269
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 898
15.1%
5 844
14.2%
- 793
13.4%
3 697
11.7%
2 594
10.0%
4 480
8.1%
1 369
6.2%
7 352
 
5.9%
6 333
 
5.6%
8 306
 
5.2%
Other values (6) 269
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)47.2%
Missing370
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean702196.64
Minimum700010
Maximum711835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:35.425850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2400.9069
Coefficient of variation (CV)0.0034191376
Kurtosis0.71423552
Mean702196.64
Median Absolute Deviation (MAD)671
Skewness1.1726778
Sum2.8087865 × 108
Variance5764354.1
MonotonicityNot monotonic
2024-04-21T18:38:35.678743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700421 29
 
3.8%
700422 26
 
3.4%
700412 23
 
3.0%
700150 19
 
2.5%
700180 12
 
1.6%
700160 7
 
0.9%
700809 7
 
0.9%
700082 5
 
0.6%
700200 5
 
0.6%
700220 5
 
0.6%
Other values (179) 262
34.0%
(Missing) 370
48.1%
ValueCountFrequency (%)
700010 2
 
0.3%
700030 1
 
0.1%
700040 1
 
0.1%
700060 3
 
0.4%
700081 1
 
0.1%
700082 5
 
0.6%
700093 1
 
0.1%
700111 3
 
0.4%
700140 1
 
0.1%
700150 19
2.5%
ValueCountFrequency (%)
711835 1
 
0.1%
711834 1
 
0.1%
711815 1
 
0.1%
706962 1
 
0.1%
706852 1
 
0.1%
706844 2
0.3%
706839 1
 
0.1%
706836 2
0.3%
706834 1
 
0.1%
706833 3
0.4%
Distinct677
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-21T18:38:36.771168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41.5
Mean length23.523377
Min length13

Characters and Unicode

Total characters18113
Distinct characters266
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

Unique617 ?
Unique (%)80.1%

Sample

1st row대구광역시 중구 동산동 788-5번지 407호
2nd row대구광역시 중구 삼덕동1가 61-1번지 3층
3rd row대구광역시 중구 공평동 10-5
4th row대구광역시 중구 공평동 98-3
5th row대구광역시 중구 동인동2가 55-5번지
ValueCountFrequency (%)
대구광역시 770
21.7%
중구 361
 
10.2%
달서구 102
 
2.9%
수성구 91
 
2.6%
동구 74
 
2.1%
북구 71
 
2.0%
동인동2가 57
 
1.6%
동인동1가 52
 
1.5%
2층 43
 
1.2%
공평동 37
 
1.0%
Other values (975) 1889
53.3%
2024-04-21T18:38:38.179138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3450
19.0%
1553
 
8.6%
1006
 
5.6%
1 968
 
5.3%
866
 
4.8%
793
 
4.4%
783
 
4.3%
773
 
4.3%
- 618
 
3.4%
2 613
 
3.4%
Other values (256) 6690
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10266
56.7%
Decimal Number 3741
 
20.7%
Space Separator 3450
 
19.0%
Dash Punctuation 618
 
3.4%
Uppercase Letter 19
 
0.1%
Other Punctuation 13
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1553
15.1%
1006
 
9.8%
866
 
8.4%
793
 
7.7%
783
 
7.6%
773
 
7.5%
402
 
3.9%
378
 
3.7%
364
 
3.5%
262
 
2.6%
Other values (230) 3086
30.1%
Decimal Number
ValueCountFrequency (%)
1 968
25.9%
2 613
16.4%
3 409
10.9%
0 324
 
8.7%
5 297
 
7.9%
4 270
 
7.2%
8 240
 
6.4%
7 234
 
6.3%
6 193
 
5.2%
9 193
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
Y 3
15.8%
T 3
15.8%
I 3
15.8%
C 3
15.8%
S 2
10.5%
D 2
10.5%
K 1
 
5.3%
B 1
 
5.3%
A 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 2
 
15.4%
· 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10266
56.7%
Common 7828
43.2%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1553
15.1%
1006
 
9.8%
866
 
8.4%
793
 
7.7%
783
 
7.6%
773
 
7.5%
402
 
3.9%
378
 
3.7%
364
 
3.5%
262
 
2.6%
Other values (230) 3086
30.1%
Common
ValueCountFrequency (%)
3450
44.1%
1 968
 
12.4%
- 618
 
7.9%
2 613
 
7.8%
3 409
 
5.2%
0 324
 
4.1%
5 297
 
3.8%
4 270
 
3.4%
8 240
 
3.1%
7 234
 
3.0%
Other values (7) 405
 
5.2%
Latin
ValueCountFrequency (%)
Y 3
15.8%
T 3
15.8%
I 3
15.8%
C 3
15.8%
S 2
10.5%
D 2
10.5%
K 1
 
5.3%
B 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10266
56.7%
ASCII 7846
43.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3450
44.0%
1 968
 
12.3%
- 618
 
7.9%
2 613
 
7.8%
3 409
 
5.2%
0 324
 
4.1%
5 297
 
3.8%
4 270
 
3.4%
8 240
 
3.1%
7 234
 
3.0%
Other values (15) 423
 
5.4%
Hangul
ValueCountFrequency (%)
1553
15.1%
1006
 
9.8%
866
 
8.4%
793
 
7.7%
783
 
7.6%
773
 
7.5%
402
 
3.9%
378
 
3.7%
364
 
3.5%
262
 
2.6%
Other values (230) 3086
30.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct674
Distinct (%)89.7%
Missing19
Missing (%)2.5%
Memory size6.1 KiB
2024-04-21T18:38:39.412114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.844208
Min length19

Characters and Unicode

Total characters22413
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

Unique620 ?
Unique (%)82.6%

Sample

1st row대구광역시 중구 달구벌대로 2019, 407호 (동산동)
2nd row대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)
3rd row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
4th row대구광역시 중구 공평로 73-1 (공평동)
5th row대구광역시 중구 경상감영길 226 (동문동)
ValueCountFrequency (%)
대구광역시 751
 
16.8%
중구 358
 
8.0%
달서구 101
 
2.3%
수성구 91
 
2.0%
2층 88
 
2.0%
동구 74
 
1.7%
국채보상로 73
 
1.6%
경상감영길 64
 
1.4%
북구 56
 
1.3%
동인동2가 55
 
1.2%
Other values (1056) 2756
61.7%
2024-04-21T18:38:41.101726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3840
 
17.1%
1606
 
7.2%
1124
 
5.0%
978
 
4.4%
1 816
 
3.6%
778
 
3.5%
767
 
3.4%
758
 
3.4%
( 744
 
3.3%
) 744
 
3.3%
Other values (295) 10258
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12785
57.0%
Space Separator 3840
 
17.1%
Decimal Number 3615
 
16.1%
Open Punctuation 744
 
3.3%
Close Punctuation 744
 
3.3%
Other Punctuation 563
 
2.5%
Dash Punctuation 98
 
0.4%
Uppercase Letter 23
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1606
 
12.6%
1124
 
8.8%
978
 
7.6%
778
 
6.1%
767
 
6.0%
758
 
5.9%
696
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5166
40.4%
Decimal Number
ValueCountFrequency (%)
1 816
22.6%
2 711
19.7%
3 387
10.7%
0 345
9.5%
5 338
9.3%
4 264
 
7.3%
6 231
 
6.4%
7 209
 
5.8%
8 160
 
4.4%
9 154
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
Y 3
13.0%
A 3
13.0%
C 3
13.0%
T 3
13.0%
I 3
13.0%
S 2
8.7%
H 2
8.7%
D 2
8.7%
K 1
 
4.3%
B 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 560
99.5%
/ 2
 
0.4%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3840
100.0%
Open Punctuation
ValueCountFrequency (%)
( 744
100.0%
Close Punctuation
ValueCountFrequency (%)
) 744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12785
57.0%
Common 9604
42.9%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1606
 
12.6%
1124
 
8.8%
978
 
7.6%
778
 
6.1%
767
 
6.0%
758
 
5.9%
696
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5166
40.4%
Common
ValueCountFrequency (%)
3840
40.0%
1 816
 
8.5%
( 744
 
7.7%
) 744
 
7.7%
2 711
 
7.4%
, 560
 
5.8%
3 387
 
4.0%
0 345
 
3.6%
5 338
 
3.5%
4 264
 
2.7%
Other values (7) 855
 
8.9%
Latin
ValueCountFrequency (%)
Y 3
12.5%
A 3
12.5%
C 3
12.5%
T 3
12.5%
I 3
12.5%
S 2
8.3%
H 2
8.3%
D 2
8.3%
K 1
 
4.2%
B 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12785
57.0%
ASCII 9627
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3840
39.9%
1 816
 
8.5%
( 744
 
7.7%
) 744
 
7.7%
2 711
 
7.4%
, 560
 
5.8%
3 387
 
4.0%
0 345
 
3.6%
5 338
 
3.5%
4 264
 
2.7%
Other values (17) 878
 
9.1%
Hangul
ValueCountFrequency (%)
1606
 
12.6%
1124
 
8.8%
978
 
7.6%
778
 
6.1%
767
 
6.0%
758
 
5.9%
696
 
5.4%
387
 
3.0%
277
 
2.2%
248
 
1.9%
Other values (267) 5166
40.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct322
Distinct (%)54.1%
Missing175
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean116271.42
Minimum41026
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:41.497032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41151
Q141911
median41946
Q342620
95-th percentile700837.8
Maximum711815
Range670789
Interquartile range (IQR)709

Descriptive statistics

Standard deviation208676.17
Coefficient of variation (CV)1.7947331
Kurtosis4.0518153
Mean116271.42
Median Absolute Deviation (MAD)306
Skewness2.4572464
Sum69181497
Variance4.3545744 × 1010
MonotonicityNot monotonic
2024-04-21T18:38:41.921754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 33
 
4.3%
41914 27
 
3.5%
41913 19
 
2.5%
41940 14
 
1.8%
41938 13
 
1.7%
41908 8
 
1.0%
42672 8
 
1.0%
41934 7
 
0.9%
41953 7
 
0.9%
41912 7
 
0.9%
Other values (312) 452
58.7%
(Missing) 175
 
22.7%
ValueCountFrequency (%)
41026 1
0.1%
41029 1
0.1%
41052 1
0.1%
41065 2
0.3%
41066 1
0.1%
41067 1
0.1%
41069 1
0.1%
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%
Distinct762
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-21T18:38:42.846939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.4532468
Min length2

Characters and Unicode

Total characters6509
Distinct characters412
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)97.9%

Sample

1st row(주)대구대한여행사
2nd row(주)토마토투어
3rd row(주)스마일투어
4th row대구네티즌투어(주)
5th row(주)라이프여행사
ValueCountFrequency (%)
주식회사 50
 
5.5%
투어 15
 
1.6%
여행사 11
 
1.2%
9
 
1.0%
tour 4
 
0.4%
여행 3
 
0.3%
주)하나여행사 2
 
0.2%
트래블 2
 
0.2%
2
 
0.2%
주)여행하는 2
 
0.2%
Other values (801) 813
89.0%
2024-04-21T18:38:44.169504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
9.4%
( 557
 
8.6%
) 557
 
8.6%
365
 
5.6%
361
 
5.5%
343
 
5.3%
256
 
3.9%
251
 
3.9%
143
 
2.2%
129
 
2.0%
Other values (402) 2935
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5149
79.1%
Open Punctuation 557
 
8.6%
Close Punctuation 557
 
8.6%
Space Separator 143
 
2.2%
Uppercase Letter 58
 
0.9%
Lowercase Letter 30
 
0.5%
Decimal Number 9
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
612
 
11.9%
365
 
7.1%
361
 
7.0%
343
 
6.7%
256
 
5.0%
251
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2558
49.7%
Uppercase Letter
ValueCountFrequency (%)
T 7
12.1%
O 6
 
10.3%
U 6
 
10.3%
R 4
 
6.9%
E 4
 
6.9%
A 4
 
6.9%
D 3
 
5.2%
S 3
 
5.2%
Y 3
 
5.2%
B 2
 
3.4%
Other values (12) 16
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.3%
r 4
13.3%
a 3
10.0%
o 3
10.0%
i 3
10.0%
t 3
10.0%
u 2
6.7%
l 2
6.7%
n 2
6.7%
g 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 2
22.2%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
" 2
40.0%
& 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 557
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5149
79.1%
Common 1272
 
19.5%
Latin 88
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
612
 
11.9%
365
 
7.1%
361
 
7.0%
343
 
6.7%
256
 
5.0%
251
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2558
49.7%
Latin
ValueCountFrequency (%)
T 7
 
8.0%
O 6
 
6.8%
U 6
 
6.8%
e 4
 
4.5%
R 4
 
4.5%
E 4
 
4.5%
r 4
 
4.5%
A 4
 
4.5%
D 3
 
3.4%
S 3
 
3.4%
Other values (25) 43
48.9%
Common
ValueCountFrequency (%)
( 557
43.8%
) 557
43.8%
143
 
11.2%
1 4
 
0.3%
2 3
 
0.2%
. 2
 
0.2%
8 2
 
0.2%
" 2
 
0.2%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5149
79.1%
ASCII 1360
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
612
 
11.9%
365
 
7.1%
361
 
7.0%
343
 
6.7%
256
 
5.0%
251
 
4.9%
129
 
2.5%
96
 
1.9%
91
 
1.8%
87
 
1.7%
Other values (357) 2558
49.7%
ASCII
ValueCountFrequency (%)
( 557
41.0%
) 557
41.0%
143
 
10.5%
T 7
 
0.5%
O 6
 
0.4%
U 6
 
0.4%
e 4
 
0.3%
R 4
 
0.3%
E 4
 
0.3%
r 4
 
0.3%
Other values (35) 68
 
5.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172746 × 1013
Minimum2.0030217 × 1013
Maximum2.0220526 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:44.635387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030217 × 1013
5-th percentile2.0070514 × 1013
Q12.0140901 × 1013
median2.0200266 × 1013
Q32.0210617 × 1013
95-th percentile2.0220315 × 1013
Maximum2.0220526 × 1013
Range1.9030906 × 1011
Interquartile range (IQR)6.9715934 × 1010

Descriptive statistics

Standard deviation5.0597057 × 1010
Coefficient of variation (CV)0.0025081888
Kurtosis0.0088616105
Mean2.0172746 × 1013
Median Absolute Deviation (MAD)1.9310489 × 1010
Skewness-1.1044413
Sum1.5533015 × 1016
Variance2.5600622 × 1021
MonotonicityNot monotonic
2024-04-21T18:38:44.898807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121011201329 1
 
0.1%
20220127115940 1
 
0.1%
20190117181659 1
 
0.1%
20180413155924 1
 
0.1%
20161202102317 1
 
0.1%
20160411143229 1
 
0.1%
20150522173315 1
 
0.1%
20170426175233 1
 
0.1%
20171010132817 1
 
0.1%
20180205144641 1
 
0.1%
Other values (760) 760
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 (%)
20220526175016 1
0.1%
20220526112229 1
0.1%
20220523085856 1
0.1%
20220519170338 1
0.1%
20220517091259 1
0.1%
20220516100530 1
0.1%
20220513114412 1
0.1%
20220502171034 1
0.1%
20220502170533 1
0.1%
20220502170043 1
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
U
431 
I
339 

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 431
56.0%
I 339
44.0%

Length

2024-04-21T18:38:45.137275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:45.306610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 431
56.0%
i 339
44.0%
Distinct269
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-28 02:40:00
2024-04-21T18:38:45.498589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:38:45.745655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct555
Distinct (%)72.7%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean344096.98
Minimum328157.44
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:45.979919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328157.44
5-th percentile337612.3
Q1343055
median344455.12
Q3345113.28
95-th percentile352226.04
Maximum357888.72
Range29731.286
Interquartile range (IQR)2058.2857

Descriptive statistics

Standard deviation3854.5621
Coefficient of variation (CV)0.011201964
Kurtosis2.3870852
Mean344096.98
Median Absolute Deviation (MAD)1081.1104
Skewness0.07534085
Sum2.62546 × 108
Variance14857649
MonotonicityNot monotonic
2024-04-21T18:38:46.214815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136454 22
 
2.9%
344686.259338 19
 
2.5%
344417.802132 10
 
1.3%
344605.619674 10
 
1.3%
340608.886881 8
 
1.0%
344513.06466 6
 
0.8%
344204.522469 6
 
0.8%
343824.014319 5
 
0.6%
343313.168269 5
 
0.6%
344633.379801 5
 
0.6%
Other values (545) 667
86.6%
(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%
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%
354803.19585 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct555
Distinct (%)72.7%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263848.63
Minimum241417.36
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:46.458538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241417.36
5-th percentile259114.95
Q1262915.72
median264334.82
Q3264651.58
95-th percentile267860.53
Maximum272714.08
Range31296.729
Interquartile range (IQR)1735.8622

Descriptive statistics

Standard deviation2618.6427
Coefficient of variation (CV)0.0099247915
Kurtosis12.209073
Mean263848.63
Median Absolute Deviation (MAD)773.60787
Skewness-1.2401708
Sum2.0131651 × 108
Variance6857289.5
MonotonicityNot monotonic
2024-04-21T18:38:46.708395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.838876 22
 
2.9%
263958.880864 19
 
2.5%
264430.537922 10
 
1.3%
264770.297911 10
 
1.3%
262318.248215 8
 
1.0%
264505.89139 6
 
0.8%
265028.313376 6
 
0.8%
263050.61853 5
 
0.6%
264265.370229 5
 
0.6%
264504.727592 5
 
0.6%
Other values (545) 667
86.6%
(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 1
0.1%
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 size6.1 KiB
국내외여행업
770 

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 770
100.0%

Length

2024-04-21T18:38:46.929980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:47.092322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 770
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
407 
관광사업
363 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 407
52.9%
관광사업 363
47.1%

Length

2024-04-21T18:38:47.256712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:47.424289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 407
52.9%
관광사업 363
47.1%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
717 
일반주거지역
 
19
근린상업지역
 
12
상업지역
 
8
일반상업지역
 
6
Other values (4)
 
8

Length

Max length6
Median length4
Mean length4.1116883
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> 717
93.1%
일반주거지역 19
 
2.5%
근린상업지역 12
 
1.6%
상업지역 8
 
1.0%
일반상업지역 6
 
0.8%
중심상업지역 4
 
0.5%
준주거지역 2
 
0.3%
주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

Length

2024-04-21T18:38:47.629215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:47.859993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
93.1%
일반주거지역 19
 
2.5%
근린상업지역 12
 
1.6%
상업지역 8
 
1.0%
일반상업지역 6
 
0.8%
중심상업지역 4
 
0.5%
준주거지역 2
 
0.3%
주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)7.3%
Missing564
Missing (%)73.2%
Infinite0
Infinite (%)0.0%
Mean3.2087379
Minimum0
Maximum402
Zeros146
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:48.068162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile6
Maximum402
Range402
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation28.048914
Coefficient of variation (CV)8.7414165
Kurtosis202.20279
Mean3.2087379
Median Absolute Deviation (MAD)0
Skewness14.157332
Sum661
Variance786.74158
MonotonicityNot monotonic
2024-04-21T18:38:48.272691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 146
 
19.0%
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) 564
73.2%
ValueCountFrequency (%)
0 146
19.0%
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 size6.1 KiB
<NA>
746 
기타
 
13
아파트지역
 
5
주택가주변
 
4
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9857143
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> 746
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

Length

2024-04-21T18:38:48.501142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:48.696162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 746
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.6%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

보험기관명
Text

MISSING 

Distinct247
Distinct (%)42.4%
Missing187
Missing (%)24.3%
Memory size6.1 KiB
2024-04-21T18:38:49.797981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.252144
Min length4

Characters and Unicode

Total characters7143
Distinct characters49
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

Unique231 ?
Unique (%)39.6%

Sample

1st row서울보증보험 504-85-15620
2nd row서울보증보험 504-86-11037
3rd row서울보증보험 504-86-12263
4th row서울보증보험 504-81-69311
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 310
35.6%
관광협회 78
 
9.0%
한국관광협회중앙회 74
 
8.5%
여행공제회 58
 
6.7%
서울보증보험주식회사 40
 
4.6%
한국관광협회 21
 
2.4%
관광공제회 19
 
2.2%
대구광역시관광협회 7
 
0.8%
관광협회공제 6
 
0.7%
서울보증보험(주 4
 
0.5%
Other values (241) 253
29.1%
2024-04-21T18:38:51.187248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
732
 
10.2%
- 448
 
6.3%
0 410
 
5.7%
408
 
5.7%
368
 
5.2%
368
 
5.2%
368
 
5.2%
364
 
5.1%
1 333
 
4.7%
8 315
 
4.4%
Other values (39) 3029
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4117
57.6%
Decimal Number 2259
31.6%
Dash Punctuation 448
 
6.3%
Space Separator 287
 
4.0%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Uppercase Letter 6
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
732
17.8%
408
9.9%
368
8.9%
368
8.9%
368
8.9%
364
8.8%
232
 
5.6%
220
 
5.3%
202
 
4.9%
101
 
2.5%
Other values (21) 754
18.3%
Decimal Number
ValueCountFrequency (%)
0 410
18.1%
1 333
14.7%
8 315
13.9%
5 296
13.1%
4 230
10.2%
6 166
7.3%
2 150
 
6.6%
3 134
 
5.9%
7 118
 
5.2%
9 107
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4117
57.6%
Common 3020
42.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
732
17.8%
408
9.9%
368
8.9%
368
8.9%
368
8.9%
364
8.8%
232
 
5.6%
220
 
5.3%
202
 
4.9%
101
 
2.5%
Other values (21) 754
18.3%
Common
ValueCountFrequency (%)
- 448
14.8%
0 410
13.6%
1 333
11.0%
8 315
10.4%
5 296
9.8%
287
9.5%
4 230
7.6%
6 166
 
5.5%
2 150
 
5.0%
3 134
 
4.4%
Other values (5) 251
8.3%
Latin
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4117
57.6%
ASCII 3026
42.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
732
17.8%
408
9.9%
368
8.9%
368
8.9%
368
8.9%
364
8.8%
232
 
5.6%
220
 
5.3%
202
 
4.9%
101
 
2.5%
Other values (21) 754
18.3%
ASCII
ValueCountFrequency (%)
- 448
14.8%
0 410
13.5%
1 333
11.0%
8 315
10.4%
5 296
9.8%
287
9.5%
4 230
7.6%
6 166
 
5.5%
2 150
 
5.0%
3 134
 
4.4%
Other values (8) 257
8.5%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
703 
근린생활시설
 
48
사무실
 
12
유통시설
 
3
위험물저장시설
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length4.1168831
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> 703
91.3%
근린생활시설 48
 
6.2%
사무실 12
 
1.6%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
농어가주택 1
 
0.1%

Length

2024-04-21T18:38:51.439761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:51.663718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 703
91.3%
근린생활시설 48
 
6.2%
사무실 12
 
1.6%
유통시설 3
 
0.4%
위험물저장시설 1
 
0.1%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
농어가주택 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)6.9%
Missing554
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean1.2592593
Minimum0
Maximum21
Zeros145
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:51.864545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5.25
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.859079
Coefficient of variation (CV)2.2704451
Kurtosis20.731355
Mean1.2592593
Median Absolute Deviation (MAD)0
Skewness4.0265747
Sum272
Variance8.1743325
MonotonicityNot monotonic
2024-04-21T18:38:52.056270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 145
 
18.8%
2 19
 
2.5%
1 16
 
2.1%
3 10
 
1.3%
4 9
 
1.2%
5 6
 
0.8%
10 2
 
0.3%
6 2
 
0.3%
20 1
 
0.1%
21 1
 
0.1%
Other values (5) 5
 
0.6%
(Missing) 554
71.9%
ValueCountFrequency (%)
0 145
18.8%
1 16
 
2.1%
2 19
 
2.5%
3 10
 
1.3%
4 9
 
1.2%
5 6
 
0.8%
6 2
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
21 1
 
0.1%
20 1
 
0.1%
14 1
 
0.1%
11 1
 
0.1%
10 2
 
0.3%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 2
 
0.3%
5 6
0.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
595 
0
155 
1
 
14
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.3181818
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> 595
77.3%
0 155
 
20.1%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

Length

2024-04-21T18:38:52.269083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:52.467578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 595
77.3%
0 155
 
20.1%
1 14
 
1.8%
2 5
 
0.6%
6 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:52.673805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:52.858466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:53.047560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:53.233325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

영문상호명
Text

MISSING 

Distinct331
Distinct (%)100.0%
Missing439
Missing (%)57.0%
Memory size6.1 KiB
2024-04-21T18:38:54.399770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length19.933535
Min length3

Characters and Unicode

Total characters6598
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique331 ?
Unique (%)100.0%

Sample

1st rowTOMATO TOUR CO.,LTD
2nd rowSMILE TOUR CO.,LTD
3rd rowDAEGU NETIZENTOUR CO.,LTD
4th rowHESSED TOUR CO.,LTD
5th rowTRAVEL & PEOPLE CO.,LTD
ValueCountFrequency (%)
tour 163
 
14.4%
co.,ltd 135
 
11.9%
ltd 92
 
8.1%
co 91
 
8.1%
travel 87
 
7.7%
world 16
 
1.4%
daegu 15
 
1.3%
air 14
 
1.2%
co.ltd 13
 
1.2%
agency 11
 
1.0%
Other values (374) 493
43.6%
2024-04-21T18:38:55.846551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
801
 
12.1%
O 554
 
8.4%
T 548
 
8.3%
L 416
 
6.3%
R 371
 
5.6%
A 310
 
4.7%
C 307
 
4.7%
E 297
 
4.5%
. 288
 
4.4%
D 287
 
4.3%
Other values (50) 2419
36.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4517
68.5%
Space Separator 801
 
12.1%
Lowercase Letter 730
 
11.1%
Other Punctuation 516
 
7.8%
Dash Punctuation 16
 
0.2%
Decimal Number 10
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 554
12.3%
T 548
12.1%
L 416
9.2%
R 371
 
8.2%
A 310
 
6.9%
C 307
 
6.8%
E 297
 
6.6%
D 287
 
6.4%
U 265
 
5.9%
N 195
 
4.3%
Other values (15) 967
21.4%
Lowercase Letter
ValueCountFrequency (%)
o 113
15.5%
t 79
10.8%
e 64
8.8%
r 64
8.8%
a 59
8.1%
d 55
7.5%
n 49
 
6.7%
u 45
 
6.2%
l 34
 
4.7%
i 33
 
4.5%
Other values (14) 135
18.5%
Other Punctuation
ValueCountFrequency (%)
. 288
55.8%
, 218
42.2%
& 9
 
1.7%
' 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
2 2
 
20.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
801
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5247
79.5%
Common 1351
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 554
 
10.6%
T 548
 
10.4%
L 416
 
7.9%
R 371
 
7.1%
A 310
 
5.9%
C 307
 
5.9%
E 297
 
5.7%
D 287
 
5.5%
U 265
 
5.1%
N 195
 
3.7%
Other values (39) 1697
32.3%
Common
ValueCountFrequency (%)
801
59.3%
. 288
 
21.3%
, 218
 
16.1%
- 16
 
1.2%
& 9
 
0.7%
1 7
 
0.5%
( 4
 
0.3%
) 4
 
0.3%
2 2
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
801
 
12.1%
O 554
 
8.4%
T 548
 
8.3%
L 416
 
6.3%
R 371
 
5.6%
A 310
 
4.7%
C 307
 
4.7%
E 297
 
4.5%
. 288
 
4.4%
D 287
 
4.3%
Other values (50) 2419
36.7%

영문상호주소
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
442 
Overseas travel business
174 
Overseas Travel Agency
66 
Overseas Travel business
 
38
Domestic and Overseas travel business
 
15
Other values (15)
 
35

Length

Max length43
Median length4
Mean length12.658442
Min length4

Unique

Unique10 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 442
57.4%
Overseas travel business 174
 
22.6%
Overseas Travel Agency 66
 
8.6%
Overseas Travel business 38
 
4.9%
Domestic and Overseas travel business 15
 
1.9%
OVERSEAS TRAVEL AGENCY 13
 
1.7%
Domestic & Overseas Travel Business 4
 
0.5%
Overseas Travel Business 4
 
0.5%
Overseas Travel agency 2
 
0.3%
overseas travel agency 2
 
0.3%
Other values (10) 10
 
1.3%

Length

2024-04-21T18:38:56.310240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 442
30.1%
travel 327
22.3%
overseas 322
21.9%
business 238
16.2%
agency 88
 
6.0%
domestic 21
 
1.4%
and 15
 
1.0%
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 size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:56.531036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:56.713521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:56.902332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:57.085375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:57.274290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:57.459799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:57.649799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:57.836069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:58.025851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:58.210898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)33.5%
Missing552
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean62.859128
Minimum0
Maximum5980.8
Zeros135
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:38:58.406946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342.235
95-th percentile141.8185
Maximum5980.8
Range5980.8
Interquartile range (IQR)42.235

Descriptive statistics

Standard deviation413.63313
Coefficient of variation (CV)6.5803192
Kurtosis195.56397
Mean62.859128
Median Absolute Deviation (MAD)0
Skewness13.678939
Sum13703.29
Variance171092.36
MonotonicityNot monotonic
2024-04-21T18:38:58.647927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 135
 
17.5%
66.0 4
 
0.5%
33.0 3
 
0.4%
19.8 2
 
0.3%
49.5 2
 
0.3%
99.0 2
 
0.3%
99.17 2
 
0.3%
10.0 2
 
0.3%
36.57 2
 
0.3%
121.28 1
 
0.1%
Other values (63) 63
 
8.2%
(Missing) 552
71.7%
ValueCountFrequency (%)
0.0 135
17.5%
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 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
609 
0
161 

Length

Max length4
Median length4
Mean length3.3727273
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> 609
79.1%
0 161
 
20.9%

Length

2024-04-21T18:38:58.890254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:59.072267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 609
79.1%
0 161
 
20.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
769 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0051948
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> 769
99.9%
20150101 1
 
0.1%

Length

2024-04-21T18:38:59.269483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:59.459011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 769
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
769 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0051948
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> 769
99.9%
20151231 1
 
0.1%

Length

2024-04-21T18:38:59.652424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:38:59.837865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 769
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)10.4%
Missing194
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean96013003
Minimum0
Maximum1.8854 × 109
Zeros32
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:39:00.037330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.2285087 × 108
Coefficient of variation (CV)1.2795233
Kurtosis118.7635
Mean96013003
Median Absolute Deviation (MAD)38994646
Skewness9.7491007
Sum5.530349 × 1010
Variance1.5092336 × 1016
MonotonicityNot monotonic
2024-04-21T18:39:00.296008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 210
27.3%
60000000 100
13.0%
150000000 50
 
6.5%
90000000 45
 
5.8%
0 32
 
4.2%
30000000 30
 
3.9%
50000000 17
 
2.2%
70000000 13
 
1.7%
45000000 11
 
1.4%
200000000 6
 
0.8%
Other values (50) 62
 
8.1%
(Missing) 194
25.2%
ValueCountFrequency (%)
0 32
4.2%
100 1
 
0.1%
6000 1
 
0.1%
600000 1
 
0.1%
10000000 4
 
0.5%
30000000 30
3.9%
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 

Distinct568
Distinct (%)86.9%
Missing116
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean20174154
Minimum20020313
Maximum20220528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:39:00.556247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080279
Q120151107
median20191102
Q320210314
95-th percentile20211204
Maximum20220528
Range200215
Interquartile range (IQR)59206.75

Descriptive statistics

Standard deviation45535.383
Coefficient of variation (CV)0.0022571148
Kurtosis1.1660816
Mean20174154
Median Absolute Deviation (MAD)19508.5
Skewness-1.3758258
Sum1.3193897 × 1010
Variance2.0734711 × 109
MonotonicityNot monotonic
2024-04-21T18:39:00.823997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210601 9
 
1.2%
20210608 7
 
0.9%
20210607 4
 
0.5%
20200401 4
 
0.5%
20210604 4
 
0.5%
20200818 3
 
0.4%
20200701 3
 
0.4%
20210610 3
 
0.4%
20210501 3
 
0.4%
20210311 3
 
0.4%
Other values (558) 611
79.4%
(Missing) 116
 
15.1%
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 (%)
20220528 1
0.1%
20220524 1
0.1%
20220512 1
0.1%
20220428 2
0.3%
20220418 1
0.1%
20220412 1
0.1%
20220405 1
0.1%
20220331 1
0.1%
20220329 1
0.1%
20220327 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct573
Distinct (%)87.6%
Missing116
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean20184565
Minimum20030313
Maximum20231118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:39:01.087546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090322
Q120161040
median20201114
Q320220384
95-th percentile20230108
Maximum20231118
Range200805
Interquartile range (IQR)59344

Descriptive statistics

Standard deviation45686.367
Coefficient of variation (CV)0.0022634308
Kurtosis1.1578976
Mean20184565
Median Absolute Deviation (MAD)19499
Skewness-1.3759473
Sum1.3200706 × 1010
Variance2.0872441 × 109
MonotonicityNot monotonic
2024-04-21T18:39:01.356386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 9
 
1.2%
20220607 5
 
0.6%
20220604 4
 
0.5%
20220608 4
 
0.5%
20220909 3
 
0.4%
20210331 3
 
0.4%
20220609 3
 
0.4%
20220127 3
 
0.4%
20220430 3
 
0.4%
20220310 3
 
0.4%
Other values (563) 614
79.7%
(Missing) 116
 
15.1%
ValueCountFrequency (%)
20030313 1
0.1%
20030612 1
0.1%
20030921 1
0.1%
20031014 1
0.1%
20031206 1
0.1%
20040217 1
0.1%
20040322 1
0.1%
20040411 1
0.1%
20040521 1
0.1%
20040722 1
0.1%
ValueCountFrequency (%)
20231118 1
0.1%
20230706 1
0.1%
20230528 1
0.1%
20230524 1
0.1%
20230512 1
0.1%
20230506 1
0.1%
20230428 1
0.1%
20230427 1
0.1%
20230418 1
0.1%
20230412 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)26.6%
Missing552
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean62.885321
Minimum0
Maximum5981
Zeros135
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-21T18:39:01.613603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342.25
95-th percentile142
Maximum5981
Range5981
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation413.64943
Coefficient of variation (CV)6.5778376
Kurtosis195.55604
Mean62.885321
Median Absolute Deviation (MAD)0
Skewness13.678547
Sum13709
Variance171105.85
MonotonicityNot monotonic
2024-04-21T18:39:01.855254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
 
17.5%
99 4
 
0.5%
66 4
 
0.5%
50 3
 
0.4%
33 3
 
0.4%
10 3
 
0.4%
20 3
 
0.4%
34 2
 
0.3%
62 2
 
0.3%
46 2
 
0.3%
Other values (48) 57
 
7.4%
(Missing) 552
71.7%
ValueCountFrequency (%)
0 135
17.5%
1 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
10 3
 
0.4%
13 1
 
0.1%
15 1
 
0.1%
17 1
 
0.1%
18 2
 
0.3%
20 3
 
0.4%
ValueCountFrequency (%)
5981 1
0.1%
828 1
0.1%
764 1
0.1%
470 1
0.1%
363 1
0.1%
306 1
0.1%
270 1
0.1%
192 1
0.1%
186 1
0.1%
166 1
0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국내외여행업03_12_02_P3410000CDFI226002199300000219931206201208244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-421-7470<NA>700310대구광역시 중구 동산동 788-5번지 407호대구광역시 중구 달구벌대로 2019, 407호 (동산동)700821(주)대구대한여행사20121011201329I2018-08-31 23:59:59.0<NA>343056.050284264019.896911국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010091720110917<NA><NA>
12국내외여행업03_12_02_P3410000CDFI226002201400001620140822201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>424-2525<NA>700411대구광역시 중구 삼덕동1가 61-1번지 3층대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)41941(주)토마토투어20190211094616U2019-02-13 02:40:00.0<NA>344368.157903264201.865777국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-85-15620<NA><NA><NA><NA><NA>TOMATO TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002015092520160924<NA><NA>
23국내외여행업03_12_02_P3410000CDFI226002201400000120140103201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-252-5454<NA><NA>대구광역시 중구 공평동 10-5대구광역시 중구 국채보상로125길 12, 3층 (공평동)41913(주)스마일투어20191203134140U2019-12-06 02:40:00.0<NA>344326.500069264598.47234국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-11037<NA><NA><NA><NA><NA>SMILE TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002018050420190503<NA><NA>
34국내외여행업03_12_02_P3410000CDFI226002201400000420140227202012244취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-254-6885<NA>700150대구광역시 중구 공평동 98-3대구광역시 중구 공평로 73-1 (공평동)41913대구네티즌투어(주)20201224175053U2020-12-26 02:40:00.0<NA>344447.930536264572.932178국내외여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-12263<NA><NA><NA><NA><NA>DAEGU NETIZENTOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002019030120200229<NA><NA>
45국내외여행업03_12_02_P3410000CDFI226002200500000620050503<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-753-9400<NA>700422대구광역시 중구 동인동2가 55-5번지<NA><NA>(주)라이프여행사20110620121714I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002008090320090902<NA><NA>
56국내외여행업03_12_02_P3410000CDFI226002200600000120060124<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>700180대구광역시 중구 동문동 13-11번지대구광역시 중구 경상감영길 226 (동문동)<NA>(주)나비여행사20080318144453I2018-08-31 23:59:59.0<NA>344388.717202264646.125439국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002007021020080209<NA><NA>
67국내외여행업03_12_02_P3410000CDFI226002201800001320180626201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 88-25번지대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 A45호 (동성로2가)41937(주)헤세드투어20191203135412U2019-12-06 02:40:00.0<NA>343959.823762264529.39356국내외여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>HESSED TOUR CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45000000<NA><NA><NA><NA>
78국내외여행업03_12_02_P3410000CDFI226002200400002120041012<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>700160대구광역시 중구 문화동 11-4번지대구광역시 중구 국채보상로 607 (문화동)<NA>(주)위즈투어20041012182218I2018-08-31 23:59:59.0<NA>344172.855741264578.929395국내외여행업관광사업<NA>5<NA><NA><NA>근린생활시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
89국내외여행업03_12_02_P3410000CDFI226002200600002320061129201509254취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>1544-3647<NA><NA>대구광역시 중구 동문동 13-11번지대구광역시 중구 경상감영길 226 (동문동)41913(주)대구여행사 하나로투어스 닷컴20151007140200I2018-08-31 23:59:59.0<NA>344388.717202264646.125439국내외여행업관광사업<NA><NA><NA><NA>서울보증보험 504-81-69311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002015012020160119<NA><NA>
910국내외여행업03_12_02_P3410000CDFI226002200600002520061226201507314취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>256-2298<NA>700081대구광역시 중구 계산동1가 46번지대구광역시 중구 국채보상로 512 (계산동1가)41932(주)원월드투어20150811112337I2018-08-31 23:59:59.0<NA>343218.606648264466.441082국내외여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002013030720140306<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
760761국내외여행업03_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
761762국내외여행업03_12_02_P3480000CDFI226002200500000120050621<NA>1영업/정상13영업중<NA><NA><NA><NA>053-638-5166<NA>711834대구광역시 달성군 화원읍 천내리 45-8번지대구광역시 달성군 화원읍 비슬로 2605-142953(주)삼진투어20190620172128U2019-06-22 02:40:00.0<NA>335647.825312257144.903991국내외여행업관광사업<NA>3<NA><NA>대구광역시관광협회근린생활시설2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44.62<NA><NA><NA><NA><NA><NA><NA><NA>1000000002019062120200621<NA>45
762763국내외여행업03_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>
763764국내외여행업03_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>
764765국내외여행업03_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>
765766국내외여행업03_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>
766767국내외여행업03_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
767768국내외여행업03_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
768769국내외여행업03_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
769770국내외여행업03_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