Overview

Dataset statistics

Number of variables63
Number of observations769
Missing cells16107
Missing cells (%)33.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory411.7 KiB
Average record size in memory548.2 B

Variable types

Numeric20
Categorical23
Text7
Unsupported12
DateTime1

Dataset

Description22년03월_6270000_대구광역시_03_12_02_P_국내외여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092881&dataSetDetailId=DDI_0000092879&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (83.2%)Imbalance
주변환경명 is highly imbalanced (89.1%)Imbalance
건물용도명 is highly imbalanced (81.8%)Imbalance
지하층수 is highly imbalanced (62.9%)Imbalance
영문상호주소 is highly imbalanced (55.6%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 719 (93.5%) missing valuesMissing
폐업일자 has 493 (64.1%) missing valuesMissing
휴업시작일자 has 762 (99.1%) missing valuesMissing
휴업종료일자 has 762 (99.1%) missing valuesMissing
재개업일자 has 769 (100.0%) missing valuesMissing
소재지전화 has 221 (28.7%) missing valuesMissing
소재지면적 has 769 (100.0%) missing valuesMissing
소재지우편번호 has 369 (48.0%) missing valuesMissing
도로명전체주소 has 19 (2.5%) missing valuesMissing
도로명우편번호 has 175 (22.8%) missing valuesMissing
업태구분명 has 769 (100.0%) missing valuesMissing
총층수 has 583 (75.8%) missing valuesMissing
제작취급품목내용 has 769 (100.0%) missing valuesMissing
보험기관명 has 185 (24.1%) missing valuesMissing
지상층수 has 573 (74.5%) missing valuesMissing
영문상호명 has 438 (57.0%) missing valuesMissing
선박제원 has 769 (100.0%) missing valuesMissing
기념품종류 has 769 (100.0%) missing valuesMissing
시설면적 has 571 (74.3%) missing valuesMissing
놀이기구수내역 has 769 (100.0%) missing valuesMissing
방송시설유무 has 769 (100.0%) missing valuesMissing
발전시설유무 has 769 (100.0%) missing valuesMissing
의무실유무 has 769 (100.0%) missing valuesMissing
안내소유무 has 769 (100.0%) missing valuesMissing
자본금 has 196 (25.5%) missing valuesMissing
보험시작일자 has 114 (14.8%) missing valuesMissing
보험종료일자 has 114 (14.8%) missing valuesMissing
부대시설내역 has 769 (100.0%) missing valuesMissing
시설규모 has 571 (74.3%) 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 126 (16.4%) zerosZeros
지상층수 has 125 (16.3%) zerosZeros
시설면적 has 115 (15.0%) zerosZeros
자본금 has 28 (3.6%) zerosZeros
시설규모 has 115 (15.0%) zerosZeros

Reproduction

Analysis started2023-12-10 19:04:13.698166
Analysis finished2023-12-10 19:04:15.556244
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct769
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385
Minimum1
Maximum769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:15.692448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.4
Q1193
median385
Q3577
95-th percentile730.6
Maximum769
Range768
Interquartile range (IQR)384

Descriptive statistics

Standard deviation222.13547
Coefficient of variation (CV)0.57697524
Kurtosis-1.2
Mean385
Median Absolute Deviation (MAD)192
Skewness0
Sum296065
Variance49344.167
MonotonicityStrictly increasing
2023-12-11T04:04:15.948019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
578 1
 
0.1%
508 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%
Other values (759) 759
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 (%)
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%
760 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
국내외여행업
769 

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 769
100.0%

Length

2023-12-11T04:04:16.181420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.351188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 769
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
03_12_02_P
769 

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 769
100.0%

Length

2023-12-11T04:04:16.514350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.668056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 769
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431651.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:16.802817image/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 deviation24399.096
Coefficient of variation (CV)0.0071100157
Kurtosis-1.4036869
Mean3431651.5
Median Absolute Deviation (MAD)10000
Skewness0.52958511
Sum2.63894 × 109
Variance5.9531589 × 108
MonotonicityIncreasing
2023-12-11T04:04:16.984598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 360
46.8%
3470000 102
 
13.3%
3460000 92
 
12.0%
3420000 74
 
9.6%
3450000 71
 
9.2%
3440000 35
 
4.6%
3430000 23
 
3.0%
3480000 12
 
1.6%
ValueCountFrequency (%)
3410000 360
46.8%
3420000 74
 
9.6%
3430000 23
 
3.0%
3440000 35
 
4.6%
3450000 71
 
9.2%
3460000 92
 
12.0%
3470000 102
 
13.3%
3480000 12
 
1.6%
ValueCountFrequency (%)
3480000 12
 
1.6%
3470000 102
 
13.3%
3460000 92
 
12.0%
3450000 71
 
9.2%
3440000 35
 
4.6%
3430000 23
 
3.0%
3420000 74
 
9.6%
3410000 360
46.8%

관리번호
Text

Distinct406
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:04:17.259080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15380
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)32.8%

Sample

1st rowCDFI2260022014000016
2nd rowCDFI2260022014000001
3rd rowCDFI2260022014000004
4th rowCDFI2260022005000006
5th rowCDFI2260022006000001
ValueCountFrequency (%)
cdfi2260022015000001 7
 
0.9%
cdfi2260022021000002 7
 
0.9%
cdfi2260022021000001 7
 
0.9%
cdfi2260022018000003 6
 
0.8%
cdfi2260022007000001 6
 
0.8%
cdfi2260022018000002 6
 
0.8%
cdfi2260022016000005 6
 
0.8%
cdfi2260022018000001 6
 
0.8%
cdfi2260022010000001 6
 
0.8%
cdfi2260022017000001 6
 
0.8%
Other values (396) 706
91.8%
2023-12-11T04:04:17.713168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6226
40.5%
2 3305
21.5%
6 909
 
5.9%
1 854
 
5.6%
C 769
 
5.0%
D 769
 
5.0%
F 769
 
5.0%
I 769
 
5.0%
9 261
 
1.7%
3 162
 
1.1%
Other values (4) 587
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12304
80.0%
Uppercase Letter 3076
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6226
50.6%
2 3305
26.9%
6 909
 
7.4%
1 854
 
6.9%
9 261
 
2.1%
3 162
 
1.3%
4 161
 
1.3%
5 151
 
1.2%
8 140
 
1.1%
7 135
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 769
25.0%
D 769
25.0%
F 769
25.0%
I 769
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12304
80.0%
Latin 3076
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6226
50.6%
2 3305
26.9%
6 909
 
7.4%
1 854
 
6.9%
9 261
 
2.1%
3 162
 
1.3%
4 161
 
1.3%
5 151
 
1.2%
8 140
 
1.1%
7 135
 
1.1%
Latin
ValueCountFrequency (%)
C 769
25.0%
D 769
25.0%
F 769
25.0%
I 769
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6226
40.5%
2 3305
21.5%
6 909
 
5.9%
1 854
 
5.6%
C 769
 
5.0%
D 769
 
5.0%
F 769
 
5.0%
I 769
 
5.0%
9 261
 
1.7%
3 162
 
1.1%
Other values (4) 587
 
3.8%

인허가일자
Real number (ℝ)

Distinct695
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20089271
Minimum19820922
Maximum20220107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:17.911040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820922
5-th percentile19940864
Q120040401
median20090921
Q320150730
95-th percentile20181178
Maximum20220107
Range399185
Interquartile range (IQR)110329

Descriptive statistics

Standard deviation74556.55
Coefficient of variation (CV)0.003711262
Kurtosis-0.11024435
Mean20089271
Median Absolute Deviation (MAD)59691
Skewness-0.62609632
Sum1.544865 × 1010
Variance5.5586792 × 109
MonotonicityNot monotonic
2023-12-11T04:04:18.104795image/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%
20150611 3
 
0.4%
20130418 3
 
0.4%
20061127 3
 
0.4%
20180510 3
 
0.4%
20180703 3
 
0.4%
20060908 2
 
0.3%
Other values (685) 732
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 (%)
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%
20210315 1
0.1%
20201116 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)66.0%
Missing719
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean20149664
Minimum20090325
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:18.331758image/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
2023-12-11T04:04:18.532698image/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%
20120201 2
 
0.3%
20151211 2
 
0.3%
20190211 2
 
0.3%
20201224 2
 
0.3%
20150925 2
 
0.3%
20140911 1
 
0.1%
Other values (23) 23
 
3.0%
(Missing) 719
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%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
1
407 
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 (%)
1 407
52.9%
3 278
36.2%
4 77
 
10.0%
2 7
 
0.9%

Length

2023-12-11T04:04:18.726221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:18.868942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 407
52.9%
3 278
36.2%
4 77
 
10.0%
2 7
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업/정상
407 
폐업
278 
취소/말소/만료/정지/중지
77 
휴업
 
7

Length

Max length14
Median length5
Mean length4.7893368
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 407
52.9%
폐업 278
36.2%
취소/말소/만료/정지/중지 77
 
10.0%
휴업 7
 
0.9%

Length

2023-12-11T04:04:19.037667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:19.192754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 407
52.9%
폐업 278
36.2%
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%
Mean11.153446
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:19.339481image/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 deviation8.1705369
Coefficient of variation (CV)0.73255718
Kurtosis0.9475639
Mean11.153446
Median Absolute Deviation (MAD)0
Skewness1.1034114
Sum8577
Variance66.757674
MonotonicityNot monotonic
2023-12-11T04:04:19.470511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 407
52.9%
3 276
35.9%
31 66
 
8.6%
30 11
 
1.4%
2 7
 
0.9%
34 2
 
0.3%
ValueCountFrequency (%)
2 7
 
0.9%
3 276
35.9%
13 407
52.9%
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%
13 407
52.9%
3 276
35.9%
2 7
 
0.9%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업중
407 
폐업
276 
등록취소
66 
허가취소
 
11
휴업
 
7

Length

Max length5
Median length3
Mean length2.7373212
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 407
52.9%
폐업 276
35.9%
등록취소 66
 
8.6%
허가취소 11
 
1.4%
휴업 7
 
0.9%
영업장폐쇄 2
 
0.3%

Length

2023-12-11T04:04:19.662574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:19.849661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 407
52.9%
폐업 276
35.9%
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%
Missing493
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean20133969
Minimum20030106
Maximum20220126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:20.314423image/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
2023-12-11T04:04:20.569464image/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
33.3%
(Missing) 493
64.1%
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%
Missing762
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20122131
Minimum20020913
Maximum20211122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:20.881680image/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
2023-12-11T04:04:21.174683image/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) 762
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%
Missing762
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20129409
Minimum20040813
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:21.326577image/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
2023-12-11T04:04:21.494743image/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) 762
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 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Text

MISSING 

Distinct539
Distinct (%)98.4%
Missing221
Missing (%)28.7%
Memory size6.1 KiB
2023-12-11T04:04:21.889080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.786496
Min length7

Characters and Unicode

Total characters5911
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

Unique530 ?
Unique (%)96.7%

Sample

1st row424-2525
2nd row053-252-5454
3rd row053-254-6885
4th row053-753-9400
5th row1544-3647
ValueCountFrequency (%)
053 23
 
3.9%
053-428-5350 2
 
0.3%
053-965-2884 2
 
0.3%
053-964-9911 2
 
0.3%
053-254-6885 2
 
0.3%
053-421-5581 2
 
0.3%
053-421-1323 2
 
0.3%
053-639-7878 2
 
0.3%
1600-3031 2
 
0.3%
053-422-9925 2
 
0.3%
Other values (544) 544
93.0%
2023-12-11T04:04:22.520825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 891
15.1%
5 836
14.1%
- 789
13.3%
3 698
11.8%
2 592
10.0%
4 477
8.1%
1 369
6.2%
7 350
 
5.9%
6 333
 
5.6%
8 307
 
5.2%
Other values (6) 269
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5062
85.6%
Dash Punctuation 789
 
13.3%
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 (%)
0 891
17.6%
5 836
16.5%
3 698
13.8%
2 592
11.7%
4 477
9.4%
1 369
7.3%
7 350
 
6.9%
6 333
 
6.6%
8 307
 
6.1%
9 209
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 789
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 5911
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 891
15.1%
5 836
14.1%
- 789
13.3%
3 698
11.8%
2 592
10.0%
4 477
8.1%
1 369
6.2%
7 350
 
5.9%
6 333
 
5.6%
8 307
 
5.2%
Other values (6) 269
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 891
15.1%
5 836
14.1%
- 789
13.3%
3 698
11.8%
2 592
10.0%
4 477
8.1%
1 369
6.2%
7 350
 
5.9%
6 333
 
5.6%
8 307
 
5.2%
Other values (6) 269
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)47.2%
Missing369
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean702196.64
Minimum700010
Maximum711835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:22.809864image/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
2023-12-11T04:04:23.047468image/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%
700220 5
 
0.7%
700811 5
 
0.7%
700200 5
 
0.7%
Other values (179) 262
34.1%
(Missing) 369
48.0%
ValueCountFrequency (%)
700010 2
 
0.3%
700030 1
 
0.1%
700040 1
 
0.1%
700060 3
 
0.4%
700081 1
 
0.1%
700082 5
 
0.7%
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%

소재지전체주소
Text

Distinct677
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:04:23.591185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length23.494148
Min length13

Characters and Unicode

Total characters18067
Distinct characters267
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique617 ?
Unique (%)80.2%

Sample

1st row대구광역시 중구 삼덕동1가 61-1번지 3층
2nd row대구광역시 중구 공평동 10-5
3rd row대구광역시 중구 공평동 98-3
4th row대구광역시 중구 동인동2가 55-5번지
5th row대구광역시 중구 동문동 13-11번지
ValueCountFrequency (%)
대구광역시 769
21.7%
중구 360
 
10.2%
달서구 102
 
2.9%
수성구 91
 
2.6%
동구 75
 
2.1%
북구 70
 
2.0%
동인동2가 57
 
1.6%
동인동1가 52
 
1.5%
2층 43
 
1.2%
공평동 37
 
1.0%
Other values (974) 1883
53.2%
2023-12-11T04:04:24.365609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3442
19.1%
구 1550
 
8.6%
동 1008
 
5.6%
1 964
 
5.3%
대 862
 
4.8%
시 793
 
4.4%
광 781
 
4.3%
역 772
 
4.3%
- 616
 
3.4%
2 611
 
3.4%
Other values (257) 6668
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10244
56.7%
Decimal Number 3727
 
20.6%
Space Separator 3442
 
19.1%
Dash Punctuation 616
 
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 (%)
구 1550
15.1%
동 1008
 
9.8%
대 862
 
8.4%
시 793
 
7.7%
광 781
 
7.6%
역 772
 
7.5%
지 403
 
3.9%
번 379
 
3.7%
중 363
 
3.5%
가 260
 
2.5%
Other values (231) 3073
30.0%
Decimal Number
ValueCountFrequency (%)
1 964
25.9%
2 611
16.4%
3 404
10.8%
0 322
 
8.6%
5 299
 
8.0%
4 269
 
7.2%
8 237
 
6.4%
7 234
 
6.3%
6 194
 
5.2%
9 193
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
I 3
15.8%
T 3
15.8%
Y 3
15.8%
S 2
10.5%
D 2
10.5%
B 1
 
5.3%
K 1
 
5.3%
A 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 2
 
15.4%
· 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10244
56.7%
Common 7804
43.2%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1550
15.1%
동 1008
 
9.8%
대 862
 
8.4%
시 793
 
7.7%
광 781
 
7.6%
역 772
 
7.5%
지 403
 
3.9%
번 379
 
3.7%
중 363
 
3.5%
가 260
 
2.5%
Other values (231) 3073
30.0%
Common
ValueCountFrequency (%)
3442
44.1%
1 964
 
12.4%
- 616
 
7.9%
2 611
 
7.8%
3 404
 
5.2%
0 322
 
4.1%
5 299
 
3.8%
4 269
 
3.4%
8 237
 
3.0%
7 234
 
3.0%
Other values (7) 406
 
5.2%
Latin
ValueCountFrequency (%)
C 3
15.8%
I 3
15.8%
T 3
15.8%
Y 3
15.8%
S 2
10.5%
D 2
10.5%
B 1
 
5.3%
K 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10244
56.7%
ASCII 7822
43.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3442
44.0%
1 964
 
12.3%
- 616
 
7.9%
2 611
 
7.8%
3 404
 
5.2%
0 322
 
4.1%
5 299
 
3.8%
4 269
 
3.4%
8 237
 
3.0%
7 234
 
3.0%
Other values (15) 424
 
5.4%
Hangul
ValueCountFrequency (%)
구 1550
15.1%
동 1008
 
9.8%
대 862
 
8.4%
시 793
 
7.7%
광 781
 
7.6%
역 772
 
7.5%
지 403
 
3.9%
번 379
 
3.7%
중 363
 
3.5%
가 260
 
2.5%
Other values (231) 3073
30.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct674
Distinct (%)89.9%
Missing19
Missing (%)2.5%
Memory size6.1 KiB
2023-12-11T04:04:24.888234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.818667
Min length19

Characters and Unicode

Total characters22364
Distinct characters306
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 (%)82.7%

Sample

1st row대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)
2nd row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
3rd row대구광역시 중구 공평로 73-1 (공평동)
4th row대구광역시 중구 경상감영길 226 (동문동)
5th row대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 A45호 (동성로2가)
ValueCountFrequency (%)
대구광역시 750
 
16.8%
중구 357
 
8.0%
달서구 101
 
2.3%
수성구 91
 
2.0%
2층 90
 
2.0%
동구 75
 
1.7%
국채보상로 74
 
1.7%
경상감영길 64
 
1.4%
동인동2가 55
 
1.2%
북구 55
 
1.2%
Other values (1056) 2746
61.6%
2023-12-11T04:04:25.740819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3832
 
17.1%
구 1604
 
7.2%
동 1127
 
5.0%
대 974
 
4.4%
1 815
 
3.6%
시 778
 
3.5%
광 765
 
3.4%
역 757
 
3.4%
) 743
 
3.3%
( 743
 
3.3%
Other values (296) 10226
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12759
57.1%
Space Separator 3832
 
17.1%
Decimal Number 3605
 
16.1%
Close Punctuation 743
 
3.3%
Open Punctuation 743
 
3.3%
Other Punctuation 561
 
2.5%
Dash Punctuation 97
 
0.4%
Uppercase Letter 23
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1604
 
12.6%
동 1127
 
8.8%
대 974
 
7.6%
시 778
 
6.1%
광 765
 
6.0%
역 757
 
5.9%
로 696
 
5.5%
중 385
 
3.0%
층 275
 
2.2%
가 246
 
1.9%
Other values (268) 5152
40.4%
Decimal Number
ValueCountFrequency (%)
1 815
22.6%
2 708
19.6%
3 386
10.7%
0 342
9.5%
5 338
9.4%
4 262
 
7.3%
6 231
 
6.4%
7 206
 
5.7%
8 161
 
4.5%
9 156
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 3
13.0%
I 3
13.0%
C 3
13.0%
Y 3
13.0%
A 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 (%)
, 558
99.5%
/ 2
 
0.4%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3832
100.0%
Close Punctuation
ValueCountFrequency (%)
) 743
100.0%
Open Punctuation
ValueCountFrequency (%)
( 743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12759
57.1%
Common 9581
42.8%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1604
 
12.6%
동 1127
 
8.8%
대 974
 
7.6%
시 778
 
6.1%
광 765
 
6.0%
역 757
 
5.9%
로 696
 
5.5%
중 385
 
3.0%
층 275
 
2.2%
가 246
 
1.9%
Other values (268) 5152
40.4%
Common
ValueCountFrequency (%)
3832
40.0%
1 815
 
8.5%
) 743
 
7.8%
( 743
 
7.8%
2 708
 
7.4%
, 558
 
5.8%
3 386
 
4.0%
0 342
 
3.6%
5 338
 
3.5%
4 262
 
2.7%
Other values (7) 854
 
8.9%
Latin
ValueCountFrequency (%)
T 3
12.5%
I 3
12.5%
C 3
12.5%
Y 3
12.5%
A 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 12759
57.1%
ASCII 9604
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3832
39.9%
1 815
 
8.5%
) 743
 
7.7%
( 743
 
7.7%
2 708
 
7.4%
, 558
 
5.8%
3 386
 
4.0%
0 342
 
3.6%
5 338
 
3.5%
4 262
 
2.7%
Other values (17) 877
 
9.1%
Hangul
ValueCountFrequency (%)
구 1604
 
12.6%
동 1127
 
8.8%
대 974
 
7.6%
시 778
 
6.1%
광 765
 
6.0%
역 757
 
5.9%
로 696
 
5.5%
중 385
 
3.0%
층 275
 
2.2%
가 246
 
1.9%
Other values (268) 5152
40.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct320
Distinct (%)53.9%
Missing175
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean116396.19
Minimum41026
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:25.998865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41151
Q141911
median41946
Q342620
95-th percentile700838.1
Maximum711815
Range670789
Interquartile range (IQR)709

Descriptive statistics

Standard deviation208829.84
Coefficient of variation (CV)1.7941296
Kurtosis4.0370803
Mean116396.19
Median Absolute Deviation (MAD)308
Skewness2.4542517
Sum69139334
Variance4.3609901 × 1010
MonotonicityNot monotonic
2023-12-11T04:04:26.245478image/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 7
 
0.9%
41912 7
 
0.9%
41934 7
 
0.9%
700842 6
 
0.8%
Other values (310) 453
58.9%
(Missing) 175
 
22.8%
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%

사업장명
Text

Distinct761
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:04:26.663045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.449935
Min length2

Characters and Unicode

Total characters6498
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

Unique753 ?
Unique (%)97.9%

Sample

1st row(주)토마토투어
2nd row(주)스마일투어
3rd row대구네티즌투어(주)
4th row(주)라이프여행사
5th row(주)나비여행사
ValueCountFrequency (%)
주식회사 50
 
5.5%
투어 15
 
1.6%
여행사 11
 
1.2%
주 9
 
1.0%
tour 4
 
0.4%
여행 3
 
0.3%
모두투어 2
 
0.2%
주)여행하는 2
 
0.2%
길 2
 
0.2%
오로라 2
 
0.2%
Other values (799) 811
89.0%
2023-12-11T04:04:27.308922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 613
 
9.4%
( 558
 
8.6%
) 558
 
8.6%
행 364
 
5.6%
여 360
 
5.5%
사 343
 
5.3%
어 254
 
3.9%
투 249
 
3.8%
142
 
2.2%
이 129
 
2.0%
Other values (402) 2928
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5137
79.1%
Open Punctuation 558
 
8.6%
Close Punctuation 558
 
8.6%
Space Separator 142
 
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 (%)
주 613
 
11.9%
행 364
 
7.1%
여 360
 
7.0%
사 343
 
6.7%
어 254
 
4.9%
투 249
 
4.8%
이 129
 
2.5%
스 96
 
1.9%
공 91
 
1.8%
항 87
 
1.7%
Other values (357) 2551
49.7%
Uppercase Letter
ValueCountFrequency (%)
T 7
12.1%
O 6
 
10.3%
U 6
 
10.3%
E 4
 
6.9%
R 4
 
6.9%
A 4
 
6.9%
D 3
 
5.2%
Y 3
 
5.2%
S 3
 
5.2%
N 2
 
3.4%
Other values (12) 16
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.3%
r 4
13.3%
t 3
10.0%
i 3
10.0%
a 3
10.0%
o 3
10.0%
l 2
6.7%
u 2
6.7%
n 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 (%)
( 558
100.0%
Close Punctuation
ValueCountFrequency (%)
) 558
100.0%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5137
79.1%
Common 1273
 
19.6%
Latin 88
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 613
 
11.9%
행 364
 
7.1%
여 360
 
7.0%
사 343
 
6.7%
어 254
 
4.9%
투 249
 
4.8%
이 129
 
2.5%
스 96
 
1.9%
공 91
 
1.8%
항 87
 
1.7%
Other values (357) 2551
49.7%
Latin
ValueCountFrequency (%)
T 7
 
8.0%
O 6
 
6.8%
U 6
 
6.8%
E 4
 
4.5%
e 4
 
4.5%
r 4
 
4.5%
R 4
 
4.5%
A 4
 
4.5%
t 3
 
3.4%
i 3
 
3.4%
Other values (25) 43
48.9%
Common
ValueCountFrequency (%)
( 558
43.8%
) 558
43.8%
142
 
11.2%
1 4
 
0.3%
2 3
 
0.2%
8 2
 
0.2%
. 2
 
0.2%
" 2
 
0.2%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5137
79.1%
ASCII 1361
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 613
 
11.9%
행 364
 
7.1%
여 360
 
7.0%
사 343
 
6.7%
어 254
 
4.9%
투 249
 
4.8%
이 129
 
2.5%
스 96
 
1.9%
공 91
 
1.8%
항 87
 
1.7%
Other values (357) 2551
49.7%
ASCII
ValueCountFrequency (%)
( 558
41.0%
) 558
41.0%
142
 
10.4%
T 7
 
0.5%
O 6
 
0.4%
U 6
 
0.4%
E 4
 
0.3%
e 4
 
0.3%
r 4
 
0.3%
1 4
 
0.3%
Other values (35) 68
 
5.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct769
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172347 × 1013
Minimum2.0030217 × 1013
Maximum2.0220331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:27.549137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030217 × 1013
5-th percentile2.0070504 × 1013
Q12.0140901 × 1013
median2.0200228 × 1013
Q32.0210608 × 1013
95-th percentile2.0220128 × 1013
Maximum2.0220331 × 1013
Range1.9011402 × 1011
Interquartile range (IQR)6.9706931 × 1010

Descriptive statistics

Standard deviation5.032268 × 1010
Coefficient of variation (CV)0.0024946369
Kurtosis0.026651672
Mean2.0172347 × 1013
Median Absolute Deviation (MAD)1.0994957 × 1010
Skewness-1.1151028
Sum1.5512535 × 1016
Variance2.5323721 × 1021
MonotonicityNot monotonic
2023-12-11T04:04:27.836258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190211094616 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 (759) 759
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 (%)
20220331134303 1
0.1%
20220329154902 1
0.1%
20220329141654 1
0.1%
20220328152037 1
0.1%
20220328151957 1
0.1%
20220325134557 1
0.1%
20220325123945 1
0.1%
20220323114148 1
0.1%
20220323094230 1
0.1%
20220321132424 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
U
434 
I
335 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 434
56.4%
I 335
43.6%

Length

2023-12-11T04:04:28.084311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:28.235657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 434
56.4%
i 335
43.6%

데이터갱신일자
Date

Distinct260
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-02 00:22:34
2023-12-11T04:04:28.406722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:04:28.607622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct555
Distinct (%)72.8%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean344098.69
Minimum328157.44
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:28.812880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328157.44
5-th percentile337610.36
Q1343049.33
median344455.47
Q3345129.96
95-th percentile352249.99
Maximum357888.72
Range29731.286
Interquartile range (IQR)2080.6338

Descriptive statistics

Standard deviation3858.9933
Coefficient of variation (CV)0.011214786
Kurtosis2.3708431
Mean344098.69
Median Absolute Deviation (MAD)1091.7209
Skewness0.073354045
Sum2.622032 × 108
Variance14891829
MonotonicityNot monotonic
2023-12-11T04:04:28.985120image/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 7
 
0.9%
344513.06466 6
 
0.8%
344204.522469 6
 
0.8%
344633.379801 5
 
0.7%
343824.014319 5
 
0.7%
343313.168269 5
 
0.7%
Other values (545) 667
86.7%
(Missing) 7
 
0.9%
ValueCountFrequency (%)
328157.437875 1
0.1%
329632.740897 1
0.1%
330718.446519 1
0.1%
332021.019234 1
0.1%
332391.154209 1
0.1%
332426.0567 1
0.1%
334458.087365 1
0.1%
334461.497981 1
0.1%
334671.998718 1
0.1%
334703.341974 2
0.3%
ValueCountFrequency (%)
357888.724162 1
0.1%
356411.615245 1
0.1%
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 (%)72.8%
Missing7
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263843.01
Minimum241417.36
Maximum272714.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:29.161142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241417.36
5-th percentile259112.69
Q1262916.55
median264340.43
Q3264652.11
95-th percentile267862.01
Maximum272714.08
Range31296.729
Interquartile range (IQR)1735.5589

Descriptive statistics

Standard deviation2627.2574
Coefficient of variation (CV)0.0099576541
Kurtosis12.056745
Mean263843.01
Median Absolute Deviation (MAD)771.70047
Skewness-1.2402352
Sum2.0104837 × 108
Variance6902481.5
MonotonicityNot monotonic
2023-12-11T04:04:29.381758image/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 7
 
0.9%
264505.89139 6
 
0.8%
265028.313376 6
 
0.8%
264504.727592 5
 
0.7%
263050.61853 5
 
0.7%
264265.370229 5
 
0.7%
Other values (545) 667
86.7%
(Missing) 7
 
0.9%
ValueCountFrequency (%)
241417.355358 1
0.1%
244734.409663 1
0.1%
252113.071997 1
0.1%
256670.659942 2
0.3%
256876.0 1
0.1%
256958.875428 1
0.1%
257144.903991 1
0.1%
257571.312586 1
0.1%
257667.946453 2
0.3%
257685.501182 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
769 

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 769
100.0%

Length

2023-12-11T04:04:29.569475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:29.690583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 769
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
406 
관광사업
363 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 406
52.8%
관광사업 363
47.2%

Length

2023-12-11T04:04:29.827224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:29.975690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 406
52.8%
관광사업 363
47.2%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
716 
일반주거지역
 
19
근린상업지역
 
12
상업지역
 
8
일반상업지역
 
6
Other values (4)
 
8

Length

Max length6
Median length4
Mean length4.1118336
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> 716
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

2023-12-11T04:04:30.144521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:30.336820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 716
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 (%)8.1%
Missing583
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean3.5322581
Minimum0
Maximum402
Zeros126
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:30.496151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.75
Maximum402
Range402
Interquartile range (IQR)2

Descriptive statistics

Standard deviation29.505685
Coefficient of variation (CV)8.3532076
Kurtosis182.67349
Mean3.5322581
Median Absolute Deviation (MAD)0
Skewness13.458149
Sum657
Variance870.58544
MonotonicityNot monotonic
2023-12-11T04:04:30.652052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 126
 
16.4%
3 13
 
1.7%
2 10
 
1.3%
5 9
 
1.2%
1 9
 
1.2%
4 6
 
0.8%
6 3
 
0.4%
10 2
 
0.3%
12 2
 
0.3%
13 1
 
0.1%
Other values (5) 5
 
0.7%
(Missing) 583
75.8%
ValueCountFrequency (%)
0 126
16.4%
1 9
 
1.2%
2 10
 
1.3%
3 13
 
1.7%
4 6
 
0.8%
5 9
 
1.2%
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 9
1.2%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
745 
기타
 
13
아파트지역
 
5
주택가주변
 
4
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9856957
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> 745
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.7%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

Length

2023-12-11T04:04:30.868562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:31.025524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 745
96.9%
기타 13
 
1.7%
아파트지역 5
 
0.7%
주택가주변 4
 
0.5%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

보험기관명
Text

MISSING 

Distinct248
Distinct (%)42.5%
Missing185
Missing (%)24.1%
Memory size6.1 KiB
2023-12-11T04:04:31.468383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.260274
Min length4

Characters and Unicode

Total characters7160
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

Unique232 ?
Unique (%)39.7%

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 79
 
9.1%
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 (242) 254
29.1%
2023-12-11T04:04:32.414710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 732
 
10.2%
- 450
 
6.3%
0 412
 
5.8%
회 409
 
5.7%
서 368
 
5.1%
증 368
 
5.1%
울 368
 
5.1%
험 364
 
5.1%
1 334
 
4.7%
8 316
 
4.4%
Other values (39) 3039
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4121
57.6%
Decimal Number 2269
31.7%
Dash Punctuation 450
 
6.3%
Space Separator 288
 
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 (%)
보 732
17.8%
회 409
9.9%
서 368
8.9%
증 368
8.9%
울 368
8.9%
험 364
8.8%
광 233
 
5.7%
관 221
 
5.4%
협 203
 
4.9%
국 101
 
2.5%
Other values (21) 754
18.3%
Decimal Number
ValueCountFrequency (%)
0 412
18.2%
1 334
14.7%
8 316
13.9%
5 298
13.1%
4 230
10.1%
6 167
7.4%
2 151
 
6.7%
3 134
 
5.9%
7 119
 
5.2%
9 108
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%
Space Separator
ValueCountFrequency (%)
288
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 4121
57.6%
Common 3033
42.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 732
17.8%
회 409
9.9%
서 368
8.9%
증 368
8.9%
울 368
8.9%
험 364
8.8%
광 233
 
5.7%
관 221
 
5.4%
협 203
 
4.9%
국 101
 
2.5%
Other values (21) 754
18.3%
Common
ValueCountFrequency (%)
- 450
14.8%
0 412
13.6%
1 334
11.0%
8 316
10.4%
5 298
9.8%
288
9.5%
4 230
7.6%
6 167
 
5.5%
2 151
 
5.0%
3 134
 
4.4%
Other values (5) 253
8.3%
Latin
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4121
57.6%
ASCII 3039
42.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 732
17.8%
회 409
9.9%
서 368
8.9%
증 368
8.9%
울 368
8.9%
험 364
8.8%
광 233
 
5.7%
관 221
 
5.4%
협 203
 
4.9%
국 101
 
2.5%
Other values (21) 754
18.3%
ASCII
ValueCountFrequency (%)
- 450
14.8%
0 412
13.6%
1 334
11.0%
8 316
10.4%
5 298
9.8%
288
9.5%
4 230
7.6%
6 167
 
5.5%
2 151
 
5.0%
3 134
 
4.4%
Other values (8) 259
8.5%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
702 
근린생활시설
 
48
사무실
 
12
유통시설
 
3
위험물저장시설
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length4.1170351
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> 702
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

2023-12-11T04:04:32.633754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:32.767388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 702
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 (%)7.7%
Missing573
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean1.377551
Minimum0
Maximum21
Zeros125
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:32.896972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9665323
Coefficient of variation (CV)2.1534827
Kurtosis18.987995
Mean1.377551
Median Absolute Deviation (MAD)0
Skewness3.8611836
Sum270
Variance8.800314
MonotonicityNot monotonic
2023-12-11T04:04:32.997889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 125
 
16.3%
2 20
 
2.6%
1 16
 
2.1%
3 10
 
1.3%
4 8
 
1.0%
5 6
 
0.8%
10 2
 
0.3%
6 2
 
0.3%
20 1
 
0.1%
21 1
 
0.1%
Other values (5) 5
 
0.7%
(Missing) 573
74.5%
ValueCountFrequency (%)
0 125
16.3%
1 16
 
2.1%
2 20
 
2.6%
3 10
 
1.3%
4 8
 
1.0%
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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
614 
0
136 
1
 
13
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.3953186
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> 614
79.8%
0 136
 
17.7%
1 13
 
1.7%
2 5
 
0.7%
6 1
 
0.1%

Length

2023-12-11T04:04:33.151263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:33.306855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
79.8%
0 136
 
17.7%
1 13
 
1.7%
2 5
 
0.7%
6 1
 
0.1%

객실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:33.453783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:33.588561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:33.708304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:33.836160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

영문상호명
Text

MISSING 

Distinct331
Distinct (%)100.0%
Missing438
Missing (%)57.0%
Memory size6.1 KiB
2023-12-11T04:04:34.160085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length19.97281
Min length3

Characters and Unicode

Total characters6611
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
 
8.0%
travel 87
 
7.7%
world 16
 
1.4%
daegu 15
 
1.3%
air 14
 
1.2%
co.ltd 14
 
1.2%
agency 11
 
1.0%
Other values (374) 494
43.6%
2023-12-11T04:04:34.723638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
803
 
12.1%
O 556
 
8.4%
T 550
 
8.3%
L 417
 
6.3%
R 371
 
5.6%
A 311
 
4.7%
C 309
 
4.7%
E 297
 
4.5%
. 288
 
4.4%
D 286
 
4.3%
Other values (50) 2423
36.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4530
68.5%
Space Separator 803
 
12.1%
Lowercase Letter 728
 
11.0%
Other Punctuation 516
 
7.8%
Dash Punctuation 16
 
0.2%
Decimal Number 10
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 556
12.3%
T 550
12.1%
L 417
9.2%
R 371
 
8.2%
A 311
 
6.9%
C 309
 
6.8%
E 297
 
6.6%
D 286
 
6.3%
U 265
 
5.8%
N 196
 
4.3%
Other values (15) 972
21.5%
Lowercase Letter
ValueCountFrequency (%)
o 113
15.5%
t 79
10.9%
r 64
8.8%
e 64
8.8%
a 59
8.1%
d 55
7.6%
n 48
 
6.6%
u 45
 
6.2%
l 34
 
4.7%
i 33
 
4.5%
Other values (14) 134
18.4%
Other Punctuation
ValueCountFrequency (%)
. 288
55.8%
, 218
42.2%
& 9
 
1.7%
' 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
2 2
 
20.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
803
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5258
79.5%
Common 1353
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 556
 
10.6%
T 550
 
10.5%
L 417
 
7.9%
R 371
 
7.1%
A 311
 
5.9%
C 309
 
5.9%
E 297
 
5.6%
D 286
 
5.4%
U 265
 
5.0%
N 196
 
3.7%
Other values (39) 1700
32.3%
Common
ValueCountFrequency (%)
803
59.3%
. 288
 
21.3%
, 218
 
16.1%
- 16
 
1.2%
& 9
 
0.7%
1 7
 
0.5%
( 4
 
0.3%
) 4
 
0.3%
2 2
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
803
 
12.1%
O 556
 
8.4%
T 550
 
8.3%
L 417
 
6.3%
R 371
 
5.6%
A 311
 
4.7%
C 309
 
4.7%
E 297
 
4.5%
. 288
 
4.4%
D 286
 
4.3%
Other values (50) 2423
36.7%

영문상호주소
Categorical

IMBALANCE 

Distinct20
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
441 
Overseas travel business
175 
Overseas Travel Agency
66 
Overseas Travel business
 
38
Domestic and Overseas travel business
 
14
Other values (15)
 
35

Length

Max length43
Median length4
Mean length12.652796
Min length4

Unique

Unique10 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
57.3%
Overseas travel business 175
 
22.8%
Overseas Travel Agency 66
 
8.6%
Overseas Travel business 38
 
4.9%
Domestic and Overseas travel business 14
 
1.8%
OVERSEAS TRAVEL AGENCY 13
 
1.7%
Domestic & Overseas Travel Business 4
 
0.5%
Overseas Travel Business 4
 
0.5%
Overseas Travel agency 2
 
0.3%
overseas travel agency 2
 
0.3%
Other values (10) 10
 
1.3%

Length

2023-12-11T04:04:34.879992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 441
30.1%
travel 327
22.3%
overseas 322
22.0%
business 238
16.3%
agency 88
 
6.0%
domestic 20
 
1.4%
and 14
 
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>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:35.056112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:35.174057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:35.318212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:35.492108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:35.631955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:35.747883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:35.894655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:36.008295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:36.155516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:36.263665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)36.9%
Missing571
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean68.635101
Minimum0
Maximum5980.8
Zeros115
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:36.398239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q347.305
95-th percentile141.8185
Maximum5980.8
Range5980.8
Interquartile range (IQR)47.305

Descriptive statistics

Standard deviation433.52534
Coefficient of variation (CV)6.3163795
Kurtosis178.0483
Mean68.635101
Median Absolute Deviation (MAD)0
Skewness13.059299
Sum13589.75
Variance187944.22
MonotonicityNot monotonic
2023-12-11T04:04:36.545149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 115
 
15.0%
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) 571
74.3%
ValueCountFrequency (%)
0.0 115
15.0%
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%
185.75 1
0.1%
166.0 1
0.1%
142.15 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
629 
0
140 

Length

Max length4
Median length4
Mean length3.4538362
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> 629
81.8%
0 140
 
18.2%

Length

2023-12-11T04:04:36.696866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:36.798431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
81.8%
0 140
 
18.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
768 
20150101
 
1

Length

Max length8
Median length4
Mean length4.0052016
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> 768
99.9%
20150101 1
 
0.1%

Length

2023-12-11T04:04:36.928490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:37.035709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 768
99.9%
20150101 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
768 
20151231
 
1

Length

Max length8
Median length4
Mean length4.0052016
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> 768
99.9%
20151231 1
 
0.1%

Length

2023-12-11T04:04:37.179064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:37.288225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 768
99.9%
20151231 1
 
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)10.6%
Missing196
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean96674502
Minimum0
Maximum1.8854 × 109
Zeros28
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:37.407382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3640
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.5 × 108
Maximum1.8854 × 109
Range1.8854 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.2290904 × 108
Coefficient of variation (CV)1.2713698
Kurtosis118.96252
Mean96674502
Median Absolute Deviation (MAD)36000000
Skewness9.7736448
Sum5.539449 × 1010
Variance1.5106633 × 1016
MonotonicityNot monotonic
2023-12-11T04:04:37.578217image/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
 
5.9%
30000000 30
 
3.9%
0 28
 
3.6%
50000000 17
 
2.2%
70000000 13
 
1.7%
45000000 11
 
1.4%
200000000 6
 
0.8%
Other values (51) 63
 
8.2%
(Missing) 196
25.5%
ValueCountFrequency (%)
0 28
3.6%
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 

Distinct563
Distinct (%)86.0%
Missing114
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean20173905
Minimum20020313
Maximum20220331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:37.734557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020313
5-th percentile20080284
Q120151112
median20191101
Q320210304
95-th percentile20210914
Maximum20220331
Range200018
Interquartile range (IQR)59193

Descriptive statistics

Standard deviation45267.645
Coefficient of variation (CV)0.0022438712
Kurtosis1.2116791
Mean20173905
Median Absolute Deviation (MAD)19503
Skewness-1.3954499
Sum1.3213908 × 1010
Variance2.0491597 × 109
MonotonicityNot monotonic
2023-12-11T04:04:37.931618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210601 8
 
1.0%
20210608 7
 
0.9%
20210607 4
 
0.5%
20210604 4
 
0.5%
20200701 4
 
0.5%
20200401 4
 
0.5%
20201230 3
 
0.4%
20190801 3
 
0.4%
20210610 3
 
0.4%
20210909 3
 
0.4%
Other values (553) 612
79.6%
(Missing) 114
 
14.8%
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 (%)
20220331 1
0.1%
20220327 1
0.1%
20220320 1
0.1%
20220319 1
0.1%
20220315 1
0.1%
20220228 1
0.1%
20220226 1
0.1%
20220224 1
0.1%
20220213 1
0.1%
20220208 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct570
Distinct (%)87.0%
Missing114
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean20184315
Minimum20030313
Maximum20231118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:38.100561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030313
5-th percentile20090322
Q120161060
median20201113
Q320220312
95-th percentile20221014
Maximum20231118
Range200805
Interquartile range (IQR)59252

Descriptive statistics

Standard deviation45421.53
Coefficient of variation (CV)0.0022503379
Kurtosis1.2026349
Mean20184315
Median Absolute Deviation (MAD)19494
Skewness-1.394813
Sum1.3220727 × 1010
Variance2.0631154 × 109
MonotonicityNot monotonic
2023-12-11T04:04:38.319365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 8
 
1.0%
20220607 5
 
0.7%
20220604 4
 
0.5%
20220608 4
 
0.5%
20220909 3
 
0.4%
20220609 3
 
0.4%
20220127 3
 
0.4%
20211230 3
 
0.4%
20210630 3
 
0.4%
20210331 3
 
0.4%
Other values (560) 616
80.1%
(Missing) 114
 
14.8%
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%
20230506 1
0.1%
20230330 1
0.1%
20230327 1
0.1%
20230320 1
0.1%
20230319 1
0.1%
20230315 1
0.1%
20230227 1
0.1%
20230226 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing769
Missing (%)100.0%
Memory size6.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)29.3%
Missing571
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean68.661616
Minimum0
Maximum5981
Zeros115
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:04:38.510038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q347.5
95-th percentile142
Maximum5981
Range5981
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation433.54184
Coefficient of variation (CV)6.3141806
Kurtosis178.04204
Mean68.661616
Median Absolute Deviation (MAD)0
Skewness13.058977
Sum13595
Variance187958.53
MonotonicityNot monotonic
2023-12-11T04:04:38.675024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115
 
15.0%
99 4
 
0.5%
66 4
 
0.5%
10 3
 
0.4%
50 3
 
0.4%
33 3
 
0.4%
20 3
 
0.4%
34 2
 
0.3%
18 2
 
0.3%
26 2
 
0.3%
Other values (48) 57
 
7.4%
(Missing) 571
74.3%
ValueCountFrequency (%)
0 115
15.0%
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%
186 1
0.1%
166 1
0.1%
142 2
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국내외여행업03_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>
12국내외여행업03_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>
23국내외여행업03_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>
34국내외여행업03_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>
45국내외여행업03_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>
56국내외여행업03_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>
67국내외여행업03_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>
78국내외여행업03_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>
89국내외여행업03_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>
910국내외여행업03_12_02_P3410000CDFI226002201600001920050603201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-281-7000<NA><NA>대구광역시 중구 봉산동 160-11대구광역시 중구 봉산문화2길 54, 1층 (봉산동)41959(주)여행과사람20191203135158U2019-12-06 02:40:00.0<NA>344234.093809263874.180973국내외여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>TRAVEL & PEOPLE CO.,LTDOverseas travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2016092320170922<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
759760국내외여행업03_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
760761국내외여행업03_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
761762국내외여행업03_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>
762763국내외여행업03_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>
763764국내외여행업03_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>
764765국내외여행업03_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>
765766국내외여행업03_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
766767국내외여행업03_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
767768국내외여행업03_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
768769국내외여행업03_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