Overview

Dataset statistics

Number of variables63
Number of observations722
Missing cells16911
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory386.5 KiB
Average record size in memory548.2 B

Variable types

Numeric21
Categorical20
Text7
Unsupported14
DateTime1

Dataset

Description22년05월_6270000_대구광역시_03_12_01_P_국내여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093621&dataSetDetailId=DDI_0000093631&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (82.3%)Imbalance
주변환경명 is highly imbalanced (86.9%)Imbalance
건물용도명 is highly imbalanced (79.5%)Imbalance
영문상호주소 is highly imbalanced (53.9%)Imbalance
인허가취소일자 has 672 (93.1%) missing valuesMissing
폐업일자 has 273 (37.8%) missing valuesMissing
휴업시작일자 has 715 (99.0%) missing valuesMissing
휴업종료일자 has 715 (99.0%) missing valuesMissing
재개업일자 has 722 (100.0%) missing valuesMissing
소재지전화 has 178 (24.7%) missing valuesMissing
소재지면적 has 722 (100.0%) missing valuesMissing
소재지우편번호 has 325 (45.0%) missing valuesMissing
도로명전체주소 has 17 (2.4%) missing valuesMissing
도로명우편번호 has 155 (21.5%) missing valuesMissing
업태구분명 has 722 (100.0%) missing valuesMissing
좌표정보(X) has 8 (1.1%) missing valuesMissing
좌표정보(Y) has 8 (1.1%) missing valuesMissing
총층수 has 554 (76.7%) missing valuesMissing
제작취급품목내용 has 722 (100.0%) missing valuesMissing
보험기관명 has 169 (23.4%) missing valuesMissing
지상층수 has 540 (74.8%) missing valuesMissing
지하층수 has 584 (80.9%) missing valuesMissing
영문상호명 has 449 (62.2%) missing valuesMissing
선박제원 has 722 (100.0%) missing valuesMissing
기념품종류 has 722 (100.0%) missing valuesMissing
시설면적 has 528 (73.1%) missing valuesMissing
놀이기구수내역 has 722 (100.0%) missing valuesMissing
방송시설유무 has 722 (100.0%) missing valuesMissing
발전시설유무 has 722 (100.0%) missing valuesMissing
의무실유무 has 722 (100.0%) missing valuesMissing
안내소유무 has 722 (100.0%) missing valuesMissing
기획여행보험시작일자 has 722 (100.0%) missing valuesMissing
기획여행보험종료일자 has 722 (100.0%) missing valuesMissing
자본금 has 173 (24.0%) missing valuesMissing
보험시작일자 has 106 (14.7%) missing valuesMissing
보험종료일자 has 106 (14.7%) missing valuesMissing
부대시설내역 has 722 (100.0%) missing valuesMissing
시설규모 has 528 (73.1%) missing valuesMissing
자본금 is highly skewed (γ1 = 23.24062449)Skewed
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
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 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 108 (15.0%) zerosZeros
지상층수 has 105 (14.5%) zerosZeros
지하층수 has 117 (16.2%) zerosZeros
시설면적 has 99 (13.7%) zerosZeros
자본금 has 23 (3.2%) zerosZeros
시설규모 has 99 (13.7%) zerosZeros

Reproduction

Analysis started2024-04-21 21:45:52.695500
Analysis finished2024-04-21 21:45:54.371141
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct722
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361.5
Minimum1
Maximum722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:45:54.499691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.05
Q1181.25
median361.5
Q3541.75
95-th percentile685.95
Maximum722
Range721
Interquartile range (IQR)360.5

Descriptive statistics

Standard deviation208.56773
Coefficient of variation (CV)0.57695086
Kurtosis-1.2
Mean361.5
Median Absolute Deviation (MAD)180.5
Skewness0
Sum261003
Variance43500.5
MonotonicityStrictly increasing
2024-04-22T06:45:54.760222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
476 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
Other values (712) 712
98.6%
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 (%)
722 1
0.1%
721 1
0.1%
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
국내여행업
722 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 722
100.0%

Length

2024-04-22T06:45:55.009830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:45:55.182711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 722
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
03_12_01_P
722 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_12_01_P
2nd row03_12_01_P
3rd row03_12_01_P
4th row03_12_01_P
5th row03_12_01_P

Common Values

ValueCountFrequency (%)
03_12_01_P 722
100.0%

Length

2024-04-22T06:45:55.357832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:45:55.532543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 722
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432493.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:45:55.680465image/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 deviation24133.024
Coefficient of variation (CV)0.0070307569
Kurtosis-1.4306222
Mean3432493.1
Median Absolute Deviation (MAD)10000
Skewness0.46530166
Sum2.47826 × 109
Variance5.8240286 × 108
MonotonicityIncreasing
2024-04-22T06:45:55.884733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 314
43.5%
3470000 92
 
12.7%
3460000 89
 
12.3%
3450000 77
 
10.7%
3420000 74
 
10.2%
3440000 33
 
4.6%
3430000 31
 
4.3%
3480000 12
 
1.7%
ValueCountFrequency (%)
3410000 314
43.5%
3420000 74
 
10.2%
3430000 31
 
4.3%
3440000 33
 
4.6%
3450000 77
 
10.7%
3460000 89
 
12.3%
3470000 92
 
12.7%
3480000 12
 
1.7%
ValueCountFrequency (%)
3480000 12
 
1.7%
3470000 92
 
12.7%
3460000 89
 
12.3%
3450000 77
 
10.7%
3440000 33
 
4.6%
3430000 31
 
4.3%
3420000 74
 
10.2%
3410000 314
43.5%
Distinct366
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-22T06:45:56.522729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters14440
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

Unique224 ?
Unique (%)31.0%

Sample

1st rowCDFI2260012020000010
2nd rowCDFI2260012018000012
3rd rowCDFI2260012018000013
4th rowCDFI2260012002000008
5th rowCDFI2260012002000021
ValueCountFrequency (%)
cdfi2260012018000001 7
 
1.0%
cdfi2260012021000001 7
 
1.0%
cdfi2260012007000001 7
 
1.0%
cdfi2260012016000002 7
 
1.0%
cdfi2260012015000001 7
 
1.0%
cdfi2260012011000002 6
 
0.8%
cdfi2260012021000002 6
 
0.8%
cdfi2260012020000001 6
 
0.8%
cdfi2260012010000001 6
 
0.8%
cdfi2260012004000001 6
 
0.8%
Other values (356) 657
91.0%
2024-04-22T06:45:57.364540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5868
40.6%
2 2373
16.4%
1 1527
 
10.6%
6 852
 
5.9%
C 722
 
5.0%
D 722
 
5.0%
F 722
 
5.0%
I 722
 
5.0%
9 231
 
1.6%
3 160
 
1.1%
Other values (4) 541
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11552
80.0%
Uppercase Letter 2888
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5868
50.8%
2 2373
20.5%
1 1527
 
13.2%
6 852
 
7.4%
9 231
 
2.0%
3 160
 
1.4%
4 159
 
1.4%
8 133
 
1.2%
5 126
 
1.1%
7 123
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 722
25.0%
D 722
25.0%
F 722
25.0%
I 722
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11552
80.0%
Latin 2888
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5868
50.8%
2 2373
20.5%
1 1527
 
13.2%
6 852
 
7.4%
9 231
 
2.0%
3 160
 
1.4%
4 159
 
1.4%
8 133
 
1.2%
5 126
 
1.1%
7 123
 
1.1%
Latin
ValueCountFrequency (%)
C 722
25.0%
D 722
25.0%
F 722
25.0%
I 722
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5868
40.6%
2 2373
16.4%
1 1527
 
10.6%
6 852
 
5.9%
C 722
 
5.0%
D 722
 
5.0%
F 722
 
5.0%
I 722
 
5.0%
9 231
 
1.6%
3 160
 
1.1%
Other values (4) 541
 
3.7%

인허가일자
Real number (ℝ)

Distinct665
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20089140
Minimum19711106
Maximum20220516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:45:57.657442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19711106
5-th percentile19951658
Q120040408
median20100578
Q320150323
95-th percentile20190128
Maximum20220516
Range509410
Interquartile range (IQR)109915.25

Descriptive statistics

Standard deviation76100.125
Coefficient of variation (CV)0.0037881225
Kurtosis1.6440064
Mean20089140
Median Absolute Deviation (MAD)50244
Skewness-0.97438882
Sum1.4504359 × 1010
Variance5.791229 × 109
MonotonicityNot monotonic
2024-04-22T06:45:58.033485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030310 10
 
1.4%
19990531 3
 
0.4%
20140227 3
 
0.4%
20120306 3
 
0.4%
20020322 2
 
0.3%
20111220 2
 
0.3%
20041016 2
 
0.3%
20120224 2
 
0.3%
20150611 2
 
0.3%
20180612 2
 
0.3%
Other values (655) 691
95.7%
ValueCountFrequency (%)
19711106 1
0.1%
19720424 1
0.1%
19780705 1
0.1%
19821205 1
0.1%
19830117 1
0.1%
19840228 1
0.1%
19850402 1
0.1%
19871125 1
0.1%
19871211 1
0.1%
19880224 1
0.1%
ValueCountFrequency (%)
20220516 1
0.1%
20220311 1
0.1%
20220120 1
0.1%
20210622 1
0.1%
20210616 1
0.1%
20210604 1
0.1%
20210426 1
0.1%
20201215 1
0.1%
20201116 1
0.1%
20201012 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)64.0%
Missing672
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean20151279
Minimum20090323
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:45:58.363226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090323
5-th percentile20095229
Q120113456
median20150914
Q320191182
95-th percentile20191220
Maximum20201224
Range110901
Interquartile range (IQR)77726

Descriptive statistics

Standard deviation37938.482
Coefficient of variation (CV)0.0018826835
Kurtosis-1.5568806
Mean20151279
Median Absolute Deviation (MAD)40205.5
Skewness-0.16097473
Sum1.007564 × 109
Variance1.4393284 × 109
MonotonicityNot monotonic
2024-04-22T06:45:58.787858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20191203 9
 
1.2%
20111208 3
 
0.4%
20191120 3
 
0.4%
20190211 3
 
0.4%
20181004 2
 
0.3%
20150925 2
 
0.3%
20201224 2
 
0.3%
20151211 2
 
0.3%
20110209 1
 
0.1%
20140529 1
 
0.1%
Other values (22) 22
 
3.0%
(Missing) 672
93.1%
ValueCountFrequency (%)
20090323 1
0.1%
20090806 1
0.1%
20091229 1
0.1%
20100118 1
0.1%
20100407 1
0.1%
20100416 1
0.1%
20100927 1
0.1%
20101112 1
0.1%
20110207 1
0.1%
20110209 1
0.1%
ValueCountFrequency (%)
20201224 2
 
0.3%
20191220 1
 
0.1%
20191219 1
 
0.1%
20191203 9
1.2%
20191120 3
 
0.4%
20190211 3
 
0.4%
20181004 2
 
0.3%
20151211 2
 
0.3%
20150925 2
 
0.3%
20150904 1
 
0.1%
Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3
450 
1
189 
4
75 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 450
62.3%
1 189
26.2%
4 75
 
10.4%
2 8
 
1.1%

Length

2024-04-22T06:45:59.204357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:45:59.534669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 450
62.3%
1 189
26.2%
4 75
 
10.4%
2 8
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업
450 
영업/정상
189 
취소/말소/만료/정지/중지
75 
휴업
 
8

Length

Max length14
Median length2
Mean length4.031856
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 450
62.3%
영업/정상 189
26.2%
취소/말소/만료/정지/중지 75
 
10.4%
휴업 8
 
1.1%

Length

2024-04-22T06:45:59.922926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:00.155797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 450
62.3%
영업/정상 189
26.2%
취소/말소/만료/정지/중지 75
 
10.4%
휴업 8
 
1.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6426593
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:00.323220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9371209
Coefficient of variation (CV)1.0340707
Kurtosis1.5046801
Mean8.6426593
Median Absolute Deviation (MAD)0
Skewness1.6004418
Sum6240
Variance79.872131
MonotonicityNot monotonic
2024-04-22T06:46:00.497460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 447
61.9%
13 189
26.2%
31 64
 
8.9%
30 9
 
1.2%
2 8
 
1.1%
34 3
 
0.4%
35 2
 
0.3%
ValueCountFrequency (%)
2 8
 
1.1%
3 447
61.9%
13 189
26.2%
30 9
 
1.2%
31 64
 
8.9%
34 3
 
0.4%
35 2
 
0.3%
ValueCountFrequency (%)
35 2
 
0.3%
34 3
 
0.4%
31 64
 
8.9%
30 9
 
1.2%
13 189
26.2%
3 447
61.9%
2 8
 
1.1%
Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업
447 
영업중
189 
등록취소
64 
허가취소
 
9
휴업
 
8
Other values (2)
 
5

Length

Max length5
Median length2
Mean length2.4819945
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row허가취소
5th row허가취소

Common Values

ValueCountFrequency (%)
폐업 447
61.9%
영업중 189
26.2%
등록취소 64
 
8.9%
허가취소 9
 
1.2%
휴업 8
 
1.1%
영업장폐쇄 3
 
0.4%
직권말소 2
 
0.3%

Length

2024-04-22T06:46:00.717552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:00.925013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 447
61.9%
영업중 189
26.2%
등록취소 64
 
8.9%
허가취소 9
 
1.2%
휴업 8
 
1.1%
영업장폐쇄 3
 
0.4%
직권말소 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct335
Distinct (%)74.6%
Missing273
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean20166828
Minimum20030106
Maximum20220526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:01.164428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20060355
Q120130131
median20190131
Q320211227
95-th percentile20220303
Maximum20220526
Range190420
Interquartile range (IQR)81096

Descriptive statistics

Standard deviation54495.438
Coefficient of variation (CV)0.0027022315
Kurtosis-0.49339166
Mean20166828
Median Absolute Deviation (MAD)29312
Skewness-0.86810501
Sum9.0549058 × 109
Variance2.9697528 × 109
MonotonicityNot monotonic
2024-04-22T06:46:01.454059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211231 43
 
6.0%
20211230 14
 
1.9%
20211122 6
 
0.8%
20220125 4
 
0.6%
20211227 4
 
0.6%
20211117 3
 
0.4%
20220222 3
 
0.4%
20211026 3
 
0.4%
20211222 3
 
0.4%
20210927 3
 
0.4%
Other values (325) 363
50.3%
(Missing) 273
37.8%
ValueCountFrequency (%)
20030106 1
0.1%
20030212 2
0.3%
20030404 1
0.1%
20030510 1
0.1%
20030611 1
0.1%
20030703 1
0.1%
20040302 1
0.1%
20040408 1
0.1%
20040528 1
0.1%
20041007 1
0.1%
ValueCountFrequency (%)
20220526 2
0.3%
20220524 1
0.1%
20220520 1
0.1%
20220518 2
0.3%
20220511 1
0.1%
20220428 1
0.1%
20220408 1
0.1%
20220401 2
0.3%
20220331 2
0.3%
20220330 2
0.3%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing715
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20129291
Minimum20020913
Maximum20211104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:01.678020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020913
5-th percentile20023883
Q120090622
median20150430
Q320170674
95-th percentile20202079
Maximum20211104
Range190191
Interquartile range (IQR)80051.5

Descriptive statistics

Standard deviation73790.015
Coefficient of variation (CV)0.0036658029
Kurtosis-0.90926025
Mean20129291
Median Absolute Deviation (MAD)30592
Skewness-0.86715311
Sum1.4090504 × 108
Variance5.4449663 × 109
MonotonicityNot monotonic
2024-04-22T06:46:01.875817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20150430 2
 
0.3%
20160325 1
 
0.1%
20181022 1
 
0.1%
20030814 1
 
0.1%
20020913 1
 
0.1%
20211104 1
 
0.1%
(Missing) 715
99.0%
ValueCountFrequency (%)
20020913 1
0.1%
20030814 1
0.1%
20150430 2
0.3%
20160325 1
0.1%
20181022 1
0.1%
20211104 1
0.1%
ValueCountFrequency (%)
20211104 1
0.1%
20181022 1
0.1%
20160325 1
0.1%
20150430 2
0.3%
20030814 1
0.1%
20020913 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing715
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20136509
Minimum20040813
Maximum20220430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:02.072966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20040843
Q120095972
median20151031
Q320175673
95-th percentile20211427
Maximum20220430
Range179617
Interquartile range (IQR)79701

Descriptive statistics

Standard deviation69837.282
Coefficient of variation (CV)0.0034681921
Kurtosis-0.96884259
Mean20136509
Median Absolute Deviation (MAD)39390
Skewness-0.67241579
Sum1.4095556 × 108
Variance4.8772459 × 109
MonotonicityNot monotonic
2024-04-22T06:46:02.265856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20151031 2
 
0.3%
20160925 1
 
0.1%
20190421 1
 
0.1%
20040813 1
 
0.1%
20040913 1
 
0.1%
20220430 1
 
0.1%
(Missing) 715
99.0%
ValueCountFrequency (%)
20040813 1
0.1%
20040913 1
0.1%
20151031 2
0.3%
20160925 1
0.1%
20190421 1
0.1%
20220430 1
0.1%
ValueCountFrequency (%)
20220430 1
0.1%
20190421 1
0.1%
20160925 1
0.1%
20151031 2
0.3%
20040913 1
0.1%
20040813 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

소재지전화
Text

MISSING 

Distinct528
Distinct (%)97.1%
Missing178
Missing (%)24.7%
Memory size5.8 KiB
2024-04-22T06:46:03.011332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.792279
Min length7

Characters and Unicode

Total characters5871
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

Unique515 ?
Unique (%)94.7%

Sample

1st row053 214 3224
2nd row053 431 0088
3rd row421-4400
4th row564-0009
5th row053-253-4321
ValueCountFrequency (%)
053 23
 
4.0%
053-639-7878 4
 
0.7%
053-741-9090 3
 
0.5%
053-744-4007 2
 
0.3%
053-261-0055 2
 
0.3%
053-752-0741 2
 
0.3%
053-572-4000 2
 
0.3%
053-422-9925 2
 
0.3%
053-254-6885 2
 
0.3%
053-254-1333 2
 
0.3%
Other values (531) 535
92.4%
2024-04-22T06:46:03.982022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 887
15.1%
5 829
14.1%
- 792
13.5%
3 719
12.2%
2 561
9.6%
4 464
7.9%
1 361
6.1%
7 350
 
6.0%
6 340
 
5.8%
8 292
 
5.0%
Other values (6) 276
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5020
85.5%
Dash Punctuation 792
 
13.5%
Space Separator 35
 
0.6%
Close Punctuation 10
 
0.2%
Open Punctuation 7
 
0.1%
Other Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 887
17.7%
5 829
16.5%
3 719
14.3%
2 561
11.2%
4 464
9.2%
1 361
7.2%
7 350
 
7.0%
6 340
 
6.8%
8 292
 
5.8%
9 217
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 792
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5871
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 887
15.1%
5 829
14.1%
- 792
13.5%
3 719
12.2%
2 561
9.6%
4 464
7.9%
1 361
6.1%
7 350
 
6.0%
6 340
 
5.8%
8 292
 
5.0%
Other values (6) 276
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 887
15.1%
5 829
14.1%
- 792
13.5%
3 719
12.2%
2 561
9.6%
4 464
7.9%
1 361
6.1%
7 350
 
6.0%
6 340
 
5.8%
8 292
 
5.0%
Other values (6) 276
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct199
Distinct (%)50.1%
Missing325
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean702381.29
Minimum700010
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:04.230274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700134.2
Q1700421
median701776
Q3704360
95-th percentile706826
Maximum711872
Range11862
Interquartile range (IQR)3939

Descriptive statistics

Standard deviation2439.2532
Coefficient of variation (CV)0.0034728334
Kurtosis0.8179708
Mean702381.29
Median Absolute Deviation (MAD)1365
Skewness1.1088501
Sum2.7884537 × 108
Variance5949956.3
MonotonicityNot monotonic
2024-04-22T06:46:04.489118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700421 23
 
3.2%
700150 19
 
2.6%
700422 18
 
2.5%
700412 16
 
2.2%
700180 11
 
1.5%
700082 6
 
0.8%
700200 6
 
0.8%
700842 6
 
0.8%
700220 6
 
0.8%
702072 5
 
0.7%
Other values (189) 281
38.9%
(Missing) 325
45.0%
ValueCountFrequency (%)
700010 2
 
0.3%
700030 1
 
0.1%
700060 3
 
0.4%
700070 1
 
0.1%
700081 1
 
0.1%
700082 6
 
0.8%
700092 1
 
0.1%
700111 5
 
0.7%
700140 1
 
0.1%
700150 19
2.6%
ValueCountFrequency (%)
711872 1
0.1%
711856 1
0.1%
711835 1
0.1%
711815 1
0.1%
706962 1
0.1%
706945 1
0.1%
706852 1
0.1%
706849 1
0.1%
706844 2
0.3%
706843 1
0.1%
Distinct645
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-22T06:46:05.538892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length23.210526
Min length13

Characters and Unicode

Total characters16758
Distinct characters251
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

Unique590 ?
Unique (%)81.7%

Sample

1st row대구광역시 중구 동인동2가 227-13
2nd row대구광역시 중구 동인동1가 238-1번지
3rd row대구광역시 중구 대봉동 40-103번지
4th row대구광역시 중구 태평로1가 1-187번지
5th row대구광역시 중구 공평동 16-14번지
ValueCountFrequency (%)
대구광역시 722
21.8%
중구 314
 
9.5%
달서구 92
 
2.8%
수성구 89
 
2.7%
북구 76
 
2.3%
동구 75
 
2.3%
동인동2가 43
 
1.3%
동인동1가 43
 
1.3%
2층 38
 
1.1%
공평동 36
 
1.1%
Other values (929) 1777
53.8%
2024-04-22T06:46:06.872062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3218
19.2%
1451
 
8.7%
925
 
5.5%
1 889
 
5.3%
804
 
4.8%
739
 
4.4%
725
 
4.3%
724
 
4.3%
- 575
 
3.4%
2 543
 
3.2%
Other values (241) 6165
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9468
56.5%
Decimal Number 3467
 
20.7%
Space Separator 3218
 
19.2%
Dash Punctuation 575
 
3.4%
Uppercase Letter 13
 
0.1%
Other Punctuation 10
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1451
15.3%
925
 
9.8%
804
 
8.5%
739
 
7.8%
725
 
7.7%
724
 
7.6%
377
 
4.0%
346
 
3.7%
318
 
3.4%
230
 
2.4%
Other values (215) 2829
29.9%
Decimal Number
ValueCountFrequency (%)
1 889
25.6%
2 543
15.7%
3 391
11.3%
0 327
 
9.4%
5 260
 
7.5%
4 239
 
6.9%
7 234
 
6.7%
8 212
 
6.1%
6 200
 
5.8%
9 172
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
15.4%
I 2
15.4%
T 2
15.4%
D 2
15.4%
Y 2
15.4%
B 1
7.7%
A 1
7.7%
H 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
/ 2
 
20.0%
· 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 575
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9468
56.5%
Common 7276
43.4%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1451
15.3%
925
 
9.8%
804
 
8.5%
739
 
7.8%
725
 
7.7%
724
 
7.6%
377
 
4.0%
346
 
3.7%
318
 
3.4%
230
 
2.4%
Other values (215) 2829
29.9%
Common
ValueCountFrequency (%)
3218
44.2%
1 889
 
12.2%
- 575
 
7.9%
2 543
 
7.5%
3 391
 
5.4%
0 327
 
4.5%
5 260
 
3.6%
4 239
 
3.3%
7 234
 
3.2%
8 212
 
2.9%
Other values (7) 388
 
5.3%
Latin
ValueCountFrequency (%)
C 2
14.3%
I 2
14.3%
T 2
14.3%
D 2
14.3%
Y 2
14.3%
B 1
7.1%
A 1
7.1%
e 1
7.1%
H 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9468
56.5%
ASCII 7289
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3218
44.1%
1 889
 
12.2%
- 575
 
7.9%
2 543
 
7.4%
3 391
 
5.4%
0 327
 
4.5%
5 260
 
3.6%
4 239
 
3.3%
7 234
 
3.2%
8 212
 
2.9%
Other values (15) 401
 
5.5%
Hangul
ValueCountFrequency (%)
1451
15.3%
925
 
9.8%
804
 
8.5%
739
 
7.8%
725
 
7.7%
724
 
7.6%
377
 
4.0%
346
 
3.7%
318
 
3.4%
230
 
2.4%
Other values (215) 2829
29.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct633
Distinct (%)89.8%
Missing17
Missing (%)2.4%
Memory size5.8 KiB
2024-04-22T06:46:08.206099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length29.51773
Min length18

Characters and Unicode

Total characters20810
Distinct characters303
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

Unique571 ?
Unique (%)81.0%

Sample

1st row대구광역시 중구 국채보상로140길 12, 301호 (동인동2가)
2nd row대구광역시 중구 경상감영길 275, 2층 (동인동1가)
3rd row대구광역시 중구 동덕로 36-13, 3층 (대봉동)
4th row대구광역시 중구 태평로 177 (태평로1가)
5th row대구광역시 중구 동성로3길 77 (공평동)
ValueCountFrequency (%)
대구광역시 705
 
16.9%
중구 310
 
7.4%
달서구 92
 
2.2%
수성구 89
 
2.1%
2층 87
 
2.1%
동구 75
 
1.8%
국채보상로 66
 
1.6%
북구 63
 
1.5%
경상감영길 56
 
1.3%
3층 50
 
1.2%
Other values (1020) 2580
61.8%
2024-04-22T06:46:10.111340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3585
 
17.2%
1510
 
7.3%
1039
 
5.0%
907
 
4.4%
1 763
 
3.7%
728
 
3.5%
712
 
3.4%
710
 
3.4%
) 697
 
3.3%
( 697
 
3.3%
Other values (293) 9462
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11847
56.9%
Space Separator 3585
 
17.2%
Decimal Number 3352
 
16.1%
Close Punctuation 697
 
3.3%
Open Punctuation 697
 
3.3%
Other Punctuation 507
 
2.4%
Dash Punctuation 105
 
0.5%
Uppercase Letter 16
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1510
 
12.7%
1039
 
8.8%
907
 
7.7%
728
 
6.1%
712
 
6.0%
710
 
6.0%
659
 
5.6%
337
 
2.8%
244
 
2.1%
222
 
1.9%
Other values (264) 4779
40.3%
Decimal Number
ValueCountFrequency (%)
1 763
22.8%
2 644
19.2%
3 370
11.0%
0 346
10.3%
5 293
 
8.7%
4 251
 
7.5%
6 193
 
5.8%
7 192
 
5.7%
8 165
 
4.9%
9 135
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
18.8%
D 2
12.5%
H 2
12.5%
T 2
12.5%
C 2
12.5%
I 2
12.5%
Y 2
12.5%
B 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
d 1
25.0%
c 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 504
99.4%
/ 2
 
0.4%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3585
100.0%
Close Punctuation
ValueCountFrequency (%)
) 697
100.0%
Open Punctuation
ValueCountFrequency (%)
( 697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11847
56.9%
Common 8943
43.0%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1510
 
12.7%
1039
 
8.8%
907
 
7.7%
728
 
6.1%
712
 
6.0%
710
 
6.0%
659
 
5.6%
337
 
2.8%
244
 
2.1%
222
 
1.9%
Other values (264) 4779
40.3%
Common
ValueCountFrequency (%)
3585
40.1%
1 763
 
8.5%
) 697
 
7.8%
( 697
 
7.8%
2 644
 
7.2%
, 504
 
5.6%
3 370
 
4.1%
0 346
 
3.9%
5 293
 
3.3%
4 251
 
2.8%
Other values (7) 793
 
8.9%
Latin
ValueCountFrequency (%)
A 3
15.0%
D 2
10.0%
H 2
10.0%
T 2
10.0%
C 2
10.0%
I 2
10.0%
Y 2
10.0%
t 1
 
5.0%
B 1
 
5.0%
d 1
 
5.0%
Other values (2) 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11847
56.9%
ASCII 8962
43.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3585
40.0%
1 763
 
8.5%
) 697
 
7.8%
( 697
 
7.8%
2 644
 
7.2%
, 504
 
5.6%
3 370
 
4.1%
0 346
 
3.9%
5 293
 
3.3%
4 251
 
2.8%
Other values (18) 812
 
9.1%
Hangul
ValueCountFrequency (%)
1510
 
12.7%
1039
 
8.8%
907
 
7.7%
728
 
6.1%
712
 
6.0%
710
 
6.0%
659
 
5.6%
337
 
2.8%
244
 
2.1%
222
 
1.9%
Other values (264) 4779
40.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct325
Distinct (%)57.3%
Missing155
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean116478.35
Minimum41026
Maximum706945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:10.360321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41128.9
Q141905
median41940
Q342612
95-th percentile701809.6
Maximum706945
Range665919
Interquartile range (IQR)707

Descriptive statistics

Standard deviation209050.71
Coefficient of variation (CV)1.7947601
Kurtosis4.0329521
Mean116478.35
Median Absolute Deviation (MAD)346
Skewness2.4532806
Sum66043227
Variance4.3702198 × 1010
MonotonicityNot monotonic
2024-04-22T06:46:10.623900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 27
 
3.7%
41914 23
 
3.2%
41913 21
 
2.9%
41938 12
 
1.7%
41940 12
 
1.7%
41814 7
 
1.0%
41934 7
 
1.0%
41903 6
 
0.8%
41953 6
 
0.8%
41959 6
 
0.8%
Other values (315) 440
60.9%
(Missing) 155
 
21.5%
ValueCountFrequency (%)
41026 1
0.1%
41028 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%
41073 1
0.1%
41075 1
0.1%
ValueCountFrequency (%)
706945 1
0.1%
706849 1
0.1%
706807 1
0.1%
706722 1
0.1%
705837 1
0.1%
704946 1
0.1%
704938 1
0.1%
704920 1
0.1%
704914 1
0.1%
704825 1
0.1%
Distinct713
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-22T06:46:11.410502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.5277008
Min length3

Characters and Unicode

Total characters6157
Distinct characters389
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

Unique704 ?
Unique (%)97.5%

Sample

1st row(주)하이월드투어
2nd row(주)라인트레블
3rd row(주)그랑투어
4th row(주)여행명가
5th row뉴동아관광여행사(주)
ValueCountFrequency (%)
주식회사 44
 
5.3%
13
 
1.6%
여행사 8
 
1.0%
투어 6
 
0.7%
주)대구여행사 3
 
0.4%
주)효성관광여행사 2
 
0.2%
tour 2
 
0.2%
주)여행하는 2
 
0.2%
월드 2
 
0.2%
모두투어 2
 
0.2%
Other values (746) 754
90.0%
2024-04-22T06:46:12.651032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
 
9.8%
) 548
 
8.9%
( 548
 
8.9%
341
 
5.5%
337
 
5.5%
315
 
5.1%
211
 
3.4%
210
 
3.4%
116
 
1.9%
114
 
1.9%
Other values (379) 2814
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4903
79.6%
Close Punctuation 548
 
8.9%
Open Punctuation 548
 
8.9%
Space Separator 116
 
1.9%
Uppercase Letter 29
 
0.5%
Other Punctuation 6
 
0.1%
Decimal Number 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
603
 
12.3%
341
 
7.0%
337
 
6.9%
315
 
6.4%
211
 
4.3%
210
 
4.3%
114
 
2.3%
113
 
2.3%
106
 
2.2%
84
 
1.7%
Other values (356) 2469
50.4%
Uppercase Letter
ValueCountFrequency (%)
U 4
13.8%
A 3
10.3%
O 3
10.3%
Y 3
10.3%
R 3
10.3%
D 3
10.3%
E 2
6.9%
T 2
6.9%
S 2
6.9%
N 1
 
3.4%
Other values (3) 3
10.3%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
" 2
33.3%
& 1
16.7%
/ 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 548
100.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4903
79.6%
Common 1223
 
19.9%
Latin 31
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
603
 
12.3%
341
 
7.0%
337
 
6.9%
315
 
6.4%
211
 
4.3%
210
 
4.3%
114
 
2.3%
113
 
2.3%
106
 
2.2%
84
 
1.7%
Other values (356) 2469
50.4%
Latin
ValueCountFrequency (%)
U 4
12.9%
A 3
9.7%
O 3
9.7%
Y 3
9.7%
R 3
9.7%
D 3
9.7%
E 2
6.5%
e 2
6.5%
T 2
6.5%
S 2
6.5%
Other values (4) 4
12.9%
Common
ValueCountFrequency (%)
) 548
44.8%
( 548
44.8%
116
 
9.5%
1 3
 
0.2%
. 2
 
0.2%
" 2
 
0.2%
2 2
 
0.2%
& 1
 
0.1%
/ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4903
79.6%
ASCII 1254
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
603
 
12.3%
341
 
7.0%
337
 
6.9%
315
 
6.4%
211
 
4.3%
210
 
4.3%
114
 
2.3%
113
 
2.3%
106
 
2.2%
84
 
1.7%
Other values (356) 2469
50.4%
ASCII
ValueCountFrequency (%)
) 548
43.7%
( 548
43.7%
116
 
9.3%
U 4
 
0.3%
A 3
 
0.2%
O 3
 
0.2%
Y 3
 
0.2%
R 3
 
0.2%
D 3
 
0.2%
1 3
 
0.2%
Other values (13) 20
 
1.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct722
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173819 × 1013
Minimum2.0030114 × 1013
Maximum2.0220526 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:13.068122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030114 × 1013
5-th percentile2.0070731 × 1013
Q12.0140904 × 1013
median2.0200329 × 1013
Q32.0211112 × 1013
95-th percentile2.0220311 × 1013
Maximum2.0220526 × 1013
Range1.9041201 × 1011
Interquartile range (IQR)7.020802 × 1010

Descriptive statistics

Standard deviation5.1304585 × 1010
Coefficient of variation (CV)0.002543127
Kurtosis-0.056162851
Mean2.0173819 × 1013
Median Absolute Deviation (MAD)1.9822519 × 1010
Skewness-1.0783875
Sum1.4565497 × 1016
Variance2.6321604 × 1021
MonotonicityNot monotonic
2024-04-22T06:46:13.531629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210524163944 1
 
0.1%
20211222175300 1
 
0.1%
20180314175157 1
 
0.1%
20220203091343 1
 
0.1%
20190117181708 1
 
0.1%
20180413155801 1
 
0.1%
20220328141422 1
 
0.1%
20100121094342 1
 
0.1%
20120723150024 1
 
0.1%
20140228134402 1
 
0.1%
Other values (712) 712
98.6%
ValueCountFrequency (%)
20030114152258 1
0.1%
20030217115445 1
0.1%
20030217115627 1
0.1%
20030702162752 1
0.1%
20030819092420 1
0.1%
20040423155937 1
0.1%
20040423160419 1
0.1%
20041013131114 1
0.1%
20041019144102 1
0.1%
20050329154617 1
0.1%
ValueCountFrequency (%)
20220526161907 1
0.1%
20220526161740 1
0.1%
20220524142308 1
0.1%
20220520172313 1
0.1%
20220519165819 1
0.1%
20220518170855 1
0.1%
20220518170821 1
0.1%
20220518111740 1
0.1%
20220516153824 1
0.1%
20220512090821 1
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
U
421 
I
301 

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 421
58.3%
I 301
41.7%

Length

2024-04-22T06:46:13.963587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:14.290810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 421
58.3%
i 301
41.7%
Distinct229
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-28 02:40:00
2024-04-22T06:46:14.626660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:46:15.060242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct520
Distinct (%)72.8%
Missing8
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean344120.14
Minimum328157.44
Maximum357888.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:15.457541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328157.44
5-th percentile337561.38
Q1342722.04
median344427.82
Q3345216.41
95-th percentile352986.59
Maximum357888.72
Range29731.286
Interquartile range (IQR)2494.3704

Descriptive statistics

Standard deviation4114.7618
Coefficient of variation (CV)0.011957341
Kurtosis2.1530762
Mean344120.14
Median Absolute Deviation (MAD)1210.8956
Skewness0.17111479
Sum2.4570178 × 108
Variance16931264
MonotonicityNot monotonic
2024-04-22T06:46:15.876476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136454 16
 
2.2%
344686.259338 15
 
2.1%
344204.522469 10
 
1.4%
344605.619674 8
 
1.1%
344417.802132 8
 
1.1%
341340.524728 7
 
1.0%
344513.06466 6
 
0.8%
343286.407975 5
 
0.7%
343435.520368 4
 
0.6%
344447.254864 4
 
0.6%
Other values (510) 631
87.4%
(Missing) 8
 
1.1%
ValueCountFrequency (%)
328157.437875 1
0.1%
329632.740897 2
0.3%
330011.438104 1
0.1%
330718.446519 1
0.1%
332021.019234 1
0.1%
332426.0567 1
0.1%
334186.944258 1
0.1%
334461.497981 1
0.1%
334671.998718 1
0.1%
334703.341974 2
0.3%
ValueCountFrequency (%)
357888.724162 1
0.1%
356563.295271 1
0.1%
356411.615245 1
0.1%
356353.404987 1
0.1%
356326.911677 1
0.1%
355939.362329 1
0.1%
355875.122869 1
0.1%
355857.357218 2
0.3%
355648.433221 2
0.3%
355214.965365 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct520
Distinct (%)72.8%
Missing8
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263900.25
Minimum241417.36
Maximum273375.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:16.289409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241417.36
5-th percentile259176.71
Q1262915.72
median264407.07
Q3264709.07
95-th percentile267953.99
Maximum273375.05
Range31957.692
Interquartile range (IQR)1793.3482

Descriptive statistics

Standard deviation2806.1667
Coefficient of variation (CV)0.010633437
Kurtosis12.589563
Mean263900.25
Median Absolute Deviation (MAD)813.64047
Skewness-1.4673969
Sum1.8842478 × 108
Variance7874571.5
MonotonicityNot monotonic
2024-04-22T06:46:16.728887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.838876 16
 
2.2%
263958.880864 15
 
2.1%
265028.313376 10
 
1.4%
264770.297911 8
 
1.1%
264430.537922 8
 
1.1%
264622.515911 7
 
1.0%
264505.89139 6
 
0.8%
265494.853985 5
 
0.7%
264477.313837 4
 
0.6%
264628.139865 4
 
0.6%
Other values (510) 631
87.4%
(Missing) 8
 
1.1%
ValueCountFrequency (%)
241417.355358 1
0.1%
244734.409663 1
0.1%
245527.231299 1
0.1%
252113.071997 2
0.3%
256670.659942 2
0.3%
256876.0 1
0.1%
256958.875428 1
0.1%
257571.312586 1
0.1%
257604.199865 1
0.1%
257667.946453 2
0.3%
ValueCountFrequency (%)
273375.047803 1
0.1%
272714.084452 1
0.1%
272684.9619 1
0.1%
272600.063881 2
0.3%
272572.72045 1
0.1%
272504.525242 1
0.1%
272458.21411 1
0.1%
272431.249957 1
0.1%
271563.33218 1
0.1%
271423.415214 2
0.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
국내여행업
722 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 722
100.0%

Length

2024-04-22T06:46:17.152911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:17.472396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 722
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
399 
관광사업
323 

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> 399
55.3%
관광사업 323
44.7%

Length

2024-04-22T06:46:17.796472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:18.115770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 399
55.3%
관광사업 323
44.7%

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
666 
일반주거지역
 
20
근린상업지역
 
13
일반상업지역
 
8
중심상업지역
 
5
Other values (5)
 
10

Length

Max length6
Median length4
Mean length4.134349
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 666
92.2%
일반주거지역 20
 
2.8%
근린상업지역 13
 
1.8%
일반상업지역 8
 
1.1%
중심상업지역 5
 
0.7%
상업지역 5
 
0.7%
주거지역 2
 
0.3%
전용주거지역 1
 
0.1%
준주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

Length

2024-04-22T06:46:18.499197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:18.885976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 666
92.2%
일반주거지역 20
 
2.8%
근린상업지역 13
 
1.8%
일반상업지역 8
 
1.1%
중심상업지역 5
 
0.7%
상업지역 5
 
0.7%
주거지역 2
 
0.3%
전용주거지역 1
 
0.1%
준주거지역 1
 
0.1%
자연녹지지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)7.1%
Missing554
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean1.4107143
Minimum0
Maximum17
Zeros108
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:19.252115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5367487
Coefficient of variation (CV)1.7982016
Kurtosis9.7892607
Mean1.4107143
Median Absolute Deviation (MAD)0
Skewness2.6525788
Sum237
Variance6.4350941
MonotonicityNot monotonic
2024-04-22T06:46:19.629213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 108
 
15.0%
3 14
 
1.9%
2 11
 
1.5%
5 8
 
1.1%
1 8
 
1.1%
4 8
 
1.1%
6 5
 
0.7%
10 2
 
0.3%
8 1
 
0.1%
11 1
 
0.1%
Other values (2) 2
 
0.3%
(Missing) 554
76.7%
ValueCountFrequency (%)
0 108
15.0%
1 8
 
1.1%
2 11
 
1.5%
3 14
 
1.9%
4 8
 
1.1%
5 8
 
1.1%
6 5
 
0.7%
7 1
 
0.1%
8 1
 
0.1%
10 2
 
0.3%
ValueCountFrequency (%)
17 1
 
0.1%
11 1
 
0.1%
10 2
 
0.3%
8 1
 
0.1%
7 1
 
0.1%
6 5
 
0.7%
5 8
1.1%
4 8
1.1%
3 14
1.9%
2 11
1.5%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
694 
기타
 
13
아파트지역
 
7
주택가주변
 
6
결혼예식장주변
 
2

Length

Max length7
Median length4
Mean length3.9903047
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> 694
96.1%
기타 13
 
1.8%
아파트지역 7
 
1.0%
주택가주변 6
 
0.8%
결혼예식장주변 2
 
0.3%

Length

2024-04-22T06:46:20.056539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:20.398953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 694
96.1%
기타 13
 
1.8%
아파트지역 7
 
1.0%
주택가주변 6
 
0.8%
결혼예식장주변 2
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

보험기관명
Text

MISSING 

Distinct219
Distinct (%)39.6%
Missing169
Missing (%)23.4%
Memory size5.8 KiB
2024-04-22T06:46:21.462138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.092224
Min length4

Characters and Unicode

Total characters6687
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

Unique204 ?
Unique (%)36.9%

Sample

1st row서울보증보험 724-88-01613
2nd row관광협회 802-87-01032
3rd row서울보증보험 460-88-01155
4th row서울보증보험 504-85-15620
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 257
31.0%
한국관광협회중앙회 91
 
11.0%
관광협회 89
 
10.7%
여행공제회 72
 
8.7%
서울보증보험주식회사 39
 
4.7%
한국관광협회 24
 
2.9%
관광공제회 20
 
2.4%
서울보증 7
 
0.8%
대구광역시관광협회 5
 
0.6%
관광협회공제 5
 
0.6%
Other values (210) 220
26.5%
2024-04-22T06:46:22.745625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
629
 
9.4%
454
 
6.8%
- 391
 
5.8%
0 341
 
5.1%
319
 
4.8%
319
 
4.8%
318
 
4.8%
311
 
4.7%
1 299
 
4.5%
278
 
4.2%
Other values (39) 3028
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4019
60.1%
Decimal Number 1969
29.4%
Dash Punctuation 391
 
5.8%
Space Separator 278
 
4.2%
Open Punctuation 13
 
0.2%
Close Punctuation 12
 
0.2%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
629
15.7%
454
11.3%
319
 
7.9%
319
 
7.9%
318
 
7.9%
311
 
7.7%
252
 
6.3%
244
 
6.1%
223
 
5.5%
118
 
2.9%
Other values (21) 832
20.7%
Decimal Number
ValueCountFrequency (%)
0 341
17.3%
1 299
15.2%
8 274
13.9%
5 267
13.6%
4 199
10.1%
2 145
7.4%
6 145
7.4%
3 116
 
5.9%
7 92
 
4.7%
9 91
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
I 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%
Space Separator
ValueCountFrequency (%)
278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4019
60.1%
Common 2665
39.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
629
15.7%
454
11.3%
319
 
7.9%
319
 
7.9%
318
 
7.9%
311
 
7.7%
252
 
6.3%
244
 
6.1%
223
 
5.5%
118
 
2.9%
Other values (21) 832
20.7%
Common
ValueCountFrequency (%)
- 391
14.7%
0 341
12.8%
1 299
11.2%
278
10.4%
8 274
10.3%
5 267
10.0%
4 199
7.5%
2 145
 
5.4%
6 145
 
5.4%
3 116
 
4.4%
Other values (5) 210
7.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4019
60.1%
ASCII 2668
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
629
15.7%
454
11.3%
319
 
7.9%
319
 
7.9%
318
 
7.9%
311
 
7.7%
252
 
6.3%
244
 
6.1%
223
 
5.5%
118
 
2.9%
Other values (21) 832
20.7%
ASCII
ValueCountFrequency (%)
- 391
14.7%
0 341
12.8%
1 299
11.2%
278
10.4%
8 274
10.3%
5 267
10.0%
4 199
7.5%
2 145
 
5.4%
6 145
 
5.4%
3 116
 
4.3%
Other values (8) 213
8.0%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
652 
근린생활시설
 
51
사무실
 
14
유통시설
 
2
단독주택
 
1
Other values (2)
 
2

Length

Max length15
Median length4
Mean length4.1398892
Min length3

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 652
90.3%
근린생활시설 51
 
7.1%
사무실 14
 
1.9%
유통시설 2
 
0.3%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
다가구용 주택(공동주택적용) 1
 
0.1%

Length

2024-04-22T06:46:22.979847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:23.296818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 652
90.2%
근린생활시설 51
 
7.1%
사무실 14
 
1.9%
유통시설 2
 
0.3%
단독주택 1
 
0.1%
교육연구시설 1
 
0.1%
다가구용 1
 
0.1%
주택(공동주택적용 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)7.7%
Missing540
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean1.4065934
Minimum0
Maximum20
Zeros105
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:23.653049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5.95
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6003741
Coefficient of variation (CV)1.8487034
Kurtosis17.899331
Mean1.4065934
Median Absolute Deviation (MAD)0
Skewness3.5692799
Sum256
Variance6.7619452
MonotonicityNot monotonic
2024-04-22T06:46:24.046546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 105
 
14.5%
2 28
 
3.9%
1 15
 
2.1%
3 13
 
1.8%
4 6
 
0.8%
5 5
 
0.7%
6 3
 
0.4%
20 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
Other values (4) 4
 
0.6%
(Missing) 540
74.8%
ValueCountFrequency (%)
0 105
14.5%
1 15
 
2.1%
2 28
 
3.9%
3 13
 
1.8%
4 6
 
0.8%
5 5
 
0.7%
6 3
 
0.4%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
14 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 3
0.4%
5 5
0.7%
4 6
0.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.3%
Missing584
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean0.2826087
Minimum0
Maximum6
Zeros117
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:24.399465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.15
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.88778516
Coefficient of variation (CV)3.1413936
Kurtosis21.194351
Mean0.2826087
Median Absolute Deviation (MAD)0
Skewness4.364653
Sum39
Variance0.78816249
MonotonicityNot monotonic
2024-04-22T06:46:24.745532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 117
 
16.2%
1 14
 
1.9%
2 3
 
0.4%
4 2
 
0.3%
6 1
 
0.1%
5 1
 
0.1%
(Missing) 584
80.9%
ValueCountFrequency (%)
0 117
16.2%
1 14
 
1.9%
2 3
 
0.4%
4 2
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 1
 
0.1%
4 2
 
0.3%
2 3
 
0.4%
1 14
 
1.9%
0 117
16.2%

객실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:25.158965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:25.496235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

건축연면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:25.864075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:26.199841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

영문상호명
Text

MISSING 

Distinct273
Distinct (%)100.0%
Missing449
Missing (%)62.2%
Memory size5.8 KiB
2024-04-22T06:46:27.310505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length20.835165
Min length3

Characters and Unicode

Total characters5688
Distinct characters58
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)100.0%

Sample

1st rowHIGH WORLD TOUR CO., LTD.
2nd rowLINE TRAVEL CO.,LTD
3rd rowGRANTOUR CO.,LTD
4th rowTOMATO TOUR CO.,LTD
5th rowHANA EXPRESS TRAVEL CO.,LTD
ValueCountFrequency (%)
tour 132
 
13.6%
co.,ltd 114
 
11.8%
ltd 85
 
8.8%
co 84
 
8.7%
travel 76
 
7.8%
world 15
 
1.5%
daegu 15
 
1.5%
air 13
 
1.3%
agency 10
 
1.0%
co.ltd 9
 
0.9%
Other values (321) 416
42.9%
2024-04-22T06:46:28.903878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
 
12.3%
O 467
 
8.2%
T 457
 
8.0%
L 364
 
6.4%
R 311
 
5.5%
C 266
 
4.7%
E 262
 
4.6%
A 250
 
4.4%
. 248
 
4.4%
D 248
 
4.4%
Other values (48) 2118
37.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3850
67.7%
Space Separator 697
 
12.3%
Lowercase Letter 664
 
11.7%
Other Punctuation 449
 
7.9%
Dash Punctuation 13
 
0.2%
Decimal Number 5
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Control 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 467
12.1%
T 457
11.9%
L 364
9.5%
R 311
 
8.1%
C 266
 
6.9%
E 262
 
6.8%
A 250
 
6.5%
D 248
 
6.4%
U 231
 
6.0%
N 166
 
4.3%
Other values (15) 828
21.5%
Lowercase Letter
ValueCountFrequency (%)
o 101
15.2%
t 75
11.3%
r 62
9.3%
e 60
9.0%
d 49
7.4%
a 49
7.4%
u 47
7.1%
n 44
6.6%
l 37
 
5.6%
i 33
 
5.0%
Other values (12) 107
16.1%
Other Punctuation
ValueCountFrequency (%)
. 248
55.2%
, 194
43.2%
& 6
 
1.3%
' 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
4 1
 
20.0%
Space Separator
ValueCountFrequency (%)
697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4514
79.4%
Common 1174
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 467
 
10.3%
T 457
 
10.1%
L 364
 
8.1%
R 311
 
6.9%
C 266
 
5.9%
E 262
 
5.8%
A 250
 
5.5%
D 248
 
5.5%
U 231
 
5.1%
N 166
 
3.7%
Other values (37) 1492
33.1%
Common
ValueCountFrequency (%)
697
59.4%
. 248
 
21.1%
, 194
 
16.5%
- 13
 
1.1%
& 6
 
0.5%
( 4
 
0.3%
) 4
 
0.3%
1 4
 
0.3%
2
 
0.2%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
697
 
12.3%
O 467
 
8.2%
T 457
 
8.0%
L 364
 
6.4%
R 311
 
5.5%
C 266
 
4.7%
E 262
 
4.6%
A 250
 
4.4%
. 248
 
4.4%
D 248
 
4.4%
Other values (48) 2118
37.2%

영문상호주소
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
451 
Domestic travel business
155 
Domestic Travel Agency
58 
Domestic Travel business
 
34
Domestic Travel Industry
 
8
Other values (7)
 
16

Length

Max length24
Median length4
Mean length11.31856
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 451
62.5%
Domestic travel business 155
 
21.5%
Domestic Travel Agency 58
 
8.0%
Domestic Travel business 34
 
4.7%
Domestic Travel Industry 8
 
1.1%
Domestic Travel Business 5
 
0.7%
Domestic travel agency 3
 
0.4%
DOMESTIC TRAVEL AGENCY 2
 
0.3%
domestic travel agency 2
 
0.3%
Domestic Travel agency 2
 
0.3%
Other values (2) 2
 
0.3%

Length

2024-04-22T06:46:29.145282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 451
35.7%
travel 271
21.4%
domestic 269
21.3%
business 195
15.4%
agency 68
 
5.4%
industry 8
 
0.6%
overseas 2
 
0.2%

선박총톤수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:29.373447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:29.560700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:29.754429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:29.942048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:30.133679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:30.320126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:30.815729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:31.002579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:31.198272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:31.387366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)43.3%
Missing528
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean82.543866
Minimum0
Maximum5980.8
Zeros99
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:31.584776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366.995
95-th percentile252.359
Maximum5980.8
Range5980.8
Interquartile range (IQR)66.995

Descriptive statistics

Standard deviation440.35826
Coefficient of variation (CV)5.3348393
Kurtosis169.11652
Mean82.543866
Median Absolute Deviation (MAD)0
Skewness12.650121
Sum16013.51
Variance193915.4
MonotonicityNot monotonic
2024-04-22T06:46:31.846349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 99
 
13.7%
33.0 6
 
0.8%
66.0 4
 
0.6%
26.0 2
 
0.3%
36.57 2
 
0.3%
15.0 2
 
0.3%
99.17 2
 
0.3%
61.7 1
 
0.1%
39.67 1
 
0.1%
126.16 1
 
0.1%
Other values (74) 74
 
10.2%
(Missing) 528
73.1%
ValueCountFrequency (%)
0.0 99
13.7%
9.9 1
 
0.1%
10.0 1
 
0.1%
12.0 1
 
0.1%
13.0 1
 
0.1%
15.0 2
 
0.3%
17.96 1
 
0.1%
18.0 1
 
0.1%
19.8 1
 
0.1%
20.0 1
 
0.1%
ValueCountFrequency (%)
5980.8 1
0.1%
976.3 1
0.1%
764.26 1
0.1%
470.0 1
0.1%
442.0 1
0.1%
363.0 1
0.1%
305.6 1
0.1%
300.0 1
0.1%
271.0 1
0.1%
269.74 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
605 
0
117 

Length

Max length4
Median length4
Mean length3.5138504
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> 605
83.8%
0 117
 
16.2%

Length

2024-04-22T06:46:32.096764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:46:32.288475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
83.8%
0 117
 
16.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct54
Distinct (%)9.8%
Missing173
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean1.666603 × 108
Minimum0
Maximum5 × 1010
Zeros23
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:32.518249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5000000
Q130000000
median50000000
Q390000000
95-th percentile1.524 × 108
Maximum5 × 1010
Range5 × 1010
Interquartile range (IQR)60000000

Descriptive statistics

Standard deviation2.1366879 × 109
Coefficient of variation (CV)12.820617
Kurtosis542.86299
Mean1.666603 × 108
Median Absolute Deviation (MAD)20000000
Skewness23.240624
Sum9.1496506 × 1010
Variance4.565435 × 1018
MonotonicityNot monotonic
2024-04-22T06:46:32.972464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 191
26.5%
30000000 109
15.1%
90000000 44
 
6.1%
150000000 43
 
6.0%
100000000 41
 
5.7%
0 23
 
3.2%
15000000 19
 
2.6%
45000000 9
 
1.2%
200000000 9
 
1.2%
250000000 5
 
0.7%
Other values (44) 56
 
7.8%
(Missing) 173
24.0%
ValueCountFrequency (%)
0 23
3.2%
3000 1
 
0.1%
1500000 1
 
0.1%
3000000 2
 
0.3%
5000000 2
 
0.3%
15000000 19
2.6%
16000000 1
 
0.1%
20000000 2
 
0.3%
21020584 1
 
0.1%
22800000 1
 
0.1%
ValueCountFrequency (%)
50000000000 1
 
0.1%
3269322102 1
 
0.1%
1065880050 1
 
0.1%
1000000000 1
 
0.1%
500000000 2
 
0.3%
350000000 1
 
0.1%
346000000 1
 
0.1%
300000000 4
0.6%
250000000 5
0.7%
200000000 9
1.2%

보험시작일자
Real number (ℝ)

MISSING 

Distinct528
Distinct (%)85.7%
Missing106
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean20174127
Minimum20011231
Maximum20220516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:33.325815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011231
5-th percentile20080605
Q120150982
median20191064
Q320210309
95-th percentile20210802
Maximum20220516
Range209285
Interquartile range (IQR)59326.75

Descriptive statistics

Standard deviation43983.268
Coefficient of variation (CV)0.0021801819
Kurtosis1.1223533
Mean20174127
Median Absolute Deviation (MAD)19543.5
Skewness-1.3395533
Sum1.2427263 × 1010
Variance1.9345279 × 109
MonotonicityNot monotonic
2024-04-22T06:46:33.571868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210608 11
 
1.5%
20210601 8
 
1.1%
20210604 6
 
0.8%
20200701 4
 
0.6%
20210909 4
 
0.6%
20210327 3
 
0.4%
20210207 3
 
0.4%
20210311 3
 
0.4%
20210607 3
 
0.4%
20210717 3
 
0.4%
Other values (518) 568
78.7%
(Missing) 106
 
14.7%
ValueCountFrequency (%)
20011231 1
0.1%
20020313 1
0.1%
20020924 1
0.1%
20021212 1
0.1%
20030322 1
0.1%
20030722 1
0.1%
20030914 1
0.1%
20040323 1
0.1%
20040611 1
0.1%
20040721 1
0.1%
ValueCountFrequency (%)
20220516 1
0.1%
20220513 1
0.1%
20220418 1
0.1%
20220404 1
0.1%
20220401 1
0.1%
20220328 1
0.1%
20220314 1
0.1%
20220120 1
0.1%
20211230 1
0.1%
20211219 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct532
Distinct (%)86.4%
Missing106
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean20184691
Minimum20021230
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:33.818140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021230
5-th percentile20090596
Q120161019
median20201111
Q320220321
95-th percentile20220909
Maximum20240314
Range219084
Interquartile range (IQR)59302.5

Descriptive statistics

Standard deviation44145.433
Coefficient of variation (CV)0.002187075
Kurtosis1.1398841
Mean20184691
Median Absolute Deviation (MAD)19499.5
Skewness-1.3415507
Sum1.243377 × 1010
Variance1.9488193 × 109
MonotonicityNot monotonic
2024-04-22T06:46:34.071420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 8
 
1.1%
20220608 6
 
0.8%
20220607 5
 
0.7%
20220604 5
 
0.7%
20220909 4
 
0.6%
20220611 3
 
0.4%
20230607 3
 
0.4%
20220430 3
 
0.4%
20211211 3
 
0.4%
20220127 3
 
0.4%
Other values (522) 573
79.4%
(Missing) 106
 
14.7%
ValueCountFrequency (%)
20021230 1
0.1%
20030313 1
0.1%
20030924 1
0.1%
20031212 1
0.1%
20040322 1
0.1%
20040722 1
0.1%
20040914 1
0.1%
20050323 1
0.1%
20050610 1
0.1%
20050720 1
0.1%
ValueCountFrequency (%)
20240314 1
 
0.1%
20240313 1
 
0.1%
20230706 1
 
0.1%
20230607 3
0.4%
20230515 1
 
0.1%
20230512 1
 
0.1%
20230506 1
 
0.1%
20230418 1
 
0.1%
20230404 1
 
0.1%
20230401 1
 
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)34.5%
Missing528
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean82.551546
Minimum0
Maximum5981
Zeros99
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-22T06:46:34.311970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q367
95-th percentile252.45
Maximum5981
Range5981
Interquartile range (IQR)67

Descriptive statistics

Standard deviation440.36858
Coefficient of variation (CV)5.334468
Kurtosis169.12265
Mean82.551546
Median Absolute Deviation (MAD)0
Skewness12.650399
Sum16015
Variance193924.49
MonotonicityNot monotonic
2024-04-22T06:46:34.565411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
 
13.7%
33 6
 
0.8%
66 4
 
0.6%
26 3
 
0.4%
79 2
 
0.3%
120 2
 
0.3%
48 2
 
0.3%
142 2
 
0.3%
93 2
 
0.3%
113 2
 
0.3%
Other values (57) 70
 
9.7%
(Missing) 528
73.1%
ValueCountFrequency (%)
0 99
13.7%
10 2
 
0.3%
12 1
 
0.1%
13 1
 
0.1%
15 2
 
0.3%
18 2
 
0.3%
20 2
 
0.3%
21 1
 
0.1%
25 1
 
0.1%
26 3
 
0.4%
ValueCountFrequency (%)
5981 1
0.1%
976 1
0.1%
764 1
0.1%
470 1
0.1%
442 1
0.1%
363 1
0.1%
306 1
0.1%
300 1
0.1%
271 1
0.1%
270 1
0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국내여행업03_12_01_P3410000CDFI226001202000001020201012<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 227-13대구광역시 중구 국채보상로140길 12, 301호 (동인동2가)41944(주)하이월드투어20210524163944U2021-05-26 02:40:00.0<NA>344996.840474264316.627471국내여행업<NA><NA><NA><NA><NA>서울보증보험 724-88-01613<NA><NA><NA><NA><NA>HIGH WORLD TOUR CO., LTD.Domestic travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002020100720211007<NA><NA>
12국내여행업03_12_01_P3410000CDFI226001201800001220181008<NA>1영업/정상13영업중<NA><NA><NA><NA>053 214 3224<NA><NA>대구광역시 중구 동인동1가 238-1번지대구광역시 중구 경상감영길 275, 2층 (동인동1가)41911(주)라인트레블20190418150016U2019-04-20 02:40:00.0<NA>344643.136454264628.838876국내여행업<NA><NA><NA><NA><NA>관광협회 802-87-01032<NA><NA><NA><NA><NA>LINE TRAVEL CO.,LTDDomestic travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002019041620200416<NA><NA>
23국내여행업03_12_01_P3410000CDFI226001201800001320181030<NA>1영업/정상13영업중<NA><NA><NA><NA>053 431 0088<NA><NA>대구광역시 중구 대봉동 40-103번지대구광역시 중구 동덕로 36-13, 3층 (대봉동)41952(주)그랑투어20190816211740U2019-08-18 02:40:00.0<NA>344974.232427263255.955753국내여행업<NA><NA><NA><NA><NA>서울보증보험 460-88-01155<NA><NA><NA><NA><NA>GRANTOUR CO.,LTDDomestic travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002019081620200815<NA><NA>
34국내여행업03_12_01_P3410000CDFI226001200200000820020723<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>421-4400<NA>700111대구광역시 중구 태평로1가 1-187번지대구광역시 중구 태평로 177 (태평로1가)<NA>(주)여행명가20070123135901I2018-08-31 23:59:59.0<NA>344204.522469265028.313376국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45국내여행업03_12_01_P3410000CDFI226001200200002120021205<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>564-0009<NA>700150대구광역시 중구 공평동 16-14번지대구광역시 중구 동성로3길 77 (공평동)<NA>뉴동아관광여행사(주)20061009143706I2018-08-31 23:59:59.0<NA>344254.96064264367.495058국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56국내여행업03_12_01_P3410000CDFI226001200400000520040316<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>053-253-4321<NA>700082대구광역시 중구 계산동2가 71번지 701호대구광역시 중구 서성로 20, 701호 (계산동2가)<NA>(주)매일관광여행사20061009144106I2018-08-31 23:59:59.0<NA>343313.168269264265.370229국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67국내여행업03_12_01_P3410000CDFI226001201400002020140822201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>424-2525<NA>700411대구광역시 중구 삼덕동1가 61-1번지 3층대구광역시 중구 동성로4길 60, 3층 (삼덕동1가)41941(주)토마토투어20190211094512U2019-02-13 02:40:00.0<NA>344368.157903264201.865777국내여행업<NA><NA><NA><NA><NA>서울보증보험 504-85-15620<NA><NA><NA><NA><NA>TOMATO TOUR CO.,LTDDomestic travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002015092520160924<NA><NA>
78국내여행업03_12_01_P3410000CDFI226001197800000119780705<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>252-0465<NA>700191대구광역시 중구 종로1가 64-2번지대구광역시 중구 종로 44-9 (종로1가)<NA>(주)대구아리랑관광여행사20081112100016I2018-08-31 23:59:59.0<NA>343672.437865264484.273621국내여행업관광사업<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>2007071220080712<NA><NA>
89국내여행업03_12_01_P3410000CDFI226001198800000319880412<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>253-4321<NA>700060대구광역시 중구 남일동 33-8번지대구광역시 중구 중앙대로 417-3 (남일동)<NA>(주)효성관광여행사20071210181828I2018-08-31 23:59:59.0<NA>343861.106853264539.36899국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910국내여행업03_12_01_P3410000CDFI226001200200000620020418201409114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>257-0777<NA>700150대구광역시 중구 공평동 59-1번지대구광역시 중구 동성로6길 60 (공평동)700150(주)티케이트래블20140911115055I2018-08-31 23:59:59.0<NA>344309.71562264309.215111국내여행업관광사업<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><NA>2012082120130820<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
712713국내여행업03_12_01_P3480000CDFI226001201800000120180411<NA>3폐업3폐업20220330<NA><NA><NA>0536146677<NA><NA>대구광역시 달성군 논공읍 노이리 1080대구광역시 달성군 논공읍 노이길 20242975더나은투어(주)20220401091321U2022-04-03 02:40:00.0<NA>329632.740897252113.071997국내여행업<NA>자연녹지지역<NA>기타<NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>57.1<NA><NA><NA><NA><NA><NA><NA><NA>1000000002018041220190412<NA>57
713714국내여행업03_12_01_P3480000CDFI226001201800000220180703<NA>3폐업3폐업20190125<NA><NA><NA>053-636-2444<NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 1642946주식회사 드림투어20190125113322U2019-01-27 02:40:00.0<NA>334703.341974256670.659942국내여행업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>61.7<NA><NA><NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA>62
714715국내여행업03_12_01_P3480000CDFI226001199900000119990906<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-3755<NA>711872대구광역시 달성군 현풍면 성하리 388-3번지대구광역시 달성군 현풍면 성하길 643001삼진관광(주)20170525155740I2018-08-31 23:59:59.0<NA>330011.438104245527.231299국내여행업관광사업<NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>134.22<NA><NA><NA><NA><NA><NA><NA><NA>2500000002017052320180523<NA>134
715716국내여행업03_12_01_P3480000CDFI226001202100000120190225<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)여행신화20210215110207U2021-02-17 02:40:00.0<NA><NA><NA>국내여행업<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><NA>2020030320210303<NA><NA>
716717국내여행업03_12_01_P3480000CDFI226001201000000120101109<NA>1영업/정상13영업중<NA><NA><NA><NA>616-7788<NA><NA>대구광역시 달성군 현풍면 하리 242-6번지대구광역시 달성군 현풍면 현풍중앙로10길 1243005(주)코리아항공여행사20171214092326I2018-08-31 23:59:59.0<NA>330718.446519244734.409663국내여행업<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>
717718국내여행업03_12_01_P3480000CDFI226001201100000320111226<NA>1영업/정상13영업중<NA><NA><NA><NA>053-593-7711<NA>711815대구광역시 달성군 다사읍 죽곡리 6-3번지대구광역시 달성군 다사읍 다사로 242910(주)아리랑투어20170512133111I2018-08-31 23:59:59.0<NA>332021.019234263376.885825국내여행업<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>1000000002017041320180413<NA><NA>
718719국내여행업03_12_01_P3480000CDFI226001201900000120190211<NA>1영업/정상13영업중<NA><NA><NA><NA>0536324200<NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 16, 4층42946옴니버스 주식회사20190211175129I2019-02-13 02:21:19.0<NA>334703.341974256670.659942국내여행업<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
719720국내여행업03_12_01_P3480000CDFI226001201500000120150123<NA>1영업/정상13영업중<NA><NA><NA><NA>053-553-0033<NA><NA>대구광역시 달성군 구지면 창리 12-1번지대구광역시 달성군 구지면 국가산단북로 24743006(주)신세계여행사20200205134039U2020-02-07 02:40:00.0<NA>328157.437875241417.355358국내여행업<NA><NA><NA><NA><NA>대구광역시관광협회<NA><NA><NA><NA><NA>Shinsegae tour Co.,LtdDomestic Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017012220180122<NA><NA>
720721국내여행업03_12_01_P3480000CDFI226001201700000120130315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1539번지 죽곡휴먼시아1단지 상가동 203호대구광역시 달성군 다사읍 대실역북로1길 6, 상가동 2층 203호 (죽곡휴먼시아1단지)42914(주)여행코리아20171017110659I2018-08-31 23:59:59.0<NA>332426.0567263147.567587국내여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA>TOURS-KOREACO.,LTDDomestic travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>900000002017032620180326<NA><NA>
721722국내여행업03_12_01_P3480000CDFI226001199900000219990504<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)20190620172318U2019-06-22 02:40:00.0<NA>335089.0256876.0국내여행업관광사업<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