Overview

Dataset statistics

Number of variables64
Number of observations1524
Missing cells51314
Missing cells (%)52.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory829.1 KiB
Average record size in memory557.1 B

Variable types

Numeric23
Categorical13
Text6
Unsupported21
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20211201050100961066

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
지역구분명 is highly imbalanced (68.9%)Imbalance
주변환경명 is highly imbalanced (76.6%)Imbalance
건물용도명 is highly imbalanced (72.8%)Imbalance
영문상호주소 is highly imbalanced (91.1%)Imbalance
인허가취소일자 has 1459 (95.7%) missing valuesMissing
폐업일자 has 846 (55.5%) missing valuesMissing
휴업시작일자 has 1500 (98.4%) missing valuesMissing
휴업종료일자 has 1500 (98.4%) missing valuesMissing
재개업일자 has 1524 (100.0%) missing valuesMissing
소재지전화 has 360 (23.6%) missing valuesMissing
소재지면적 has 1524 (100.0%) missing valuesMissing
소재지우편번호 has 676 (44.4%) missing valuesMissing
도로명전체주소 has 73 (4.8%) missing valuesMissing
도로명우편번호 has 497 (32.6%) missing valuesMissing
업태구분명 has 1524 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.1%) missing valuesMissing
좌표정보(y) has 48 (3.1%) missing valuesMissing
총층수 has 1294 (84.9%) missing valuesMissing
제작취급품목내용 has 1524 (100.0%) missing valuesMissing
지상층수 has 1284 (84.3%) missing valuesMissing
지하층수 has 1385 (90.9%) missing valuesMissing
객실수 has 1524 (100.0%) missing valuesMissing
건축연면적 has 1524 (100.0%) missing valuesMissing
영문상호명 has 1456 (95.5%) missing valuesMissing
선박총톤수 has 1524 (100.0%) missing valuesMissing
선박척수 has 1524 (100.0%) missing valuesMissing
선박제원 has 1524 (100.0%) missing valuesMissing
무대면적 has 1524 (100.0%) missing valuesMissing
좌석수 has 1524 (100.0%) missing valuesMissing
기념품종류 has 1524 (100.0%) missing valuesMissing
회의실별동시수용인원 has 1524 (100.0%) missing valuesMissing
시설면적 has 1196 (78.5%) missing valuesMissing
놀이기구수내역 has 1524 (100.0%) missing valuesMissing
놀이시설수 has 1524 (100.0%) missing valuesMissing
방송시설유무 has 1524 (100.0%) missing valuesMissing
발전시설유무 has 1524 (100.0%) missing valuesMissing
의무실유무 has 1524 (100.0%) missing valuesMissing
안내소유무 has 1524 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1514 (99.3%) missing valuesMissing
기획여행보험종료일자 has 1514 (99.3%) missing valuesMissing
자본금 has 532 (34.9%) missing valuesMissing
보험시작일자 has 466 (30.6%) missing valuesMissing
보험종료일자 has 466 (30.6%) missing valuesMissing
부대시설내역 has 1524 (100.0%) missing valuesMissing
시설규모 has 1196 (78.5%) missing valuesMissing
Unnamed: 63 has 1524 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 27.51463543)Skewed
번호 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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 19 (1.2%) zerosZeros
지상층수 has 18 (1.2%) zerosZeros
지하층수 has 28 (1.8%) zerosZeros
시설면적 has 19 (1.2%) zerosZeros
시설규모 has 19 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-17 20:15:12.778525
Analysis finished2024-04-17 20:15:13.868425
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1524
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.5
Minimum1
Maximum1524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:13.921351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.15
Q1381.75
median762.5
Q31143.25
95-th percentile1447.85
Maximum1524
Range1523
Interquartile range (IQR)761.5

Descriptive statistics

Standard deviation440.08522
Coefficient of variation (CV)0.57716094
Kurtosis-1.2
Mean762.5
Median Absolute Deviation (MAD)381
Skewness0
Sum1162050
Variance193675
MonotonicityStrictly increasing
2024-04-18T05:15:14.035330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1015 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
1020 1
 
0.1%
1019 1
 
0.1%
1018 1
 
0.1%
1017 1
 
0.1%
Other values (1514) 1514
99.3%
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 (%)
1524 1
0.1%
1523 1
0.1%
1522 1
0.1%
1521 1
0.1%
1520 1
0.1%
1519 1
0.1%
1518 1
0.1%
1517 1
0.1%
1516 1
0.1%
1515 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
국외여행업
1524 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국외여행업 1524
100.0%

Length

2024-04-18T05:15:14.143109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:14.215543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1524
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
03_12_02_P
1524 

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 1524
100.0%

Length

2024-04-18T05:15:14.289570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:14.362980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 1524
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3304212.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:14.431188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13270000
median3290000
Q33330000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41756.848
Coefficient of variation (CV)0.012637458
Kurtosis-0.78826707
Mean3304212.6
Median Absolute Deviation (MAD)30000
Skewness0.48413127
Sum5.03562 × 109
Variance1.7436344 × 109
MonotonicityNot monotonic
2024-04-18T05:15:14.518777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 304
19.9%
3250000 257
16.9%
3270000 196
12.9%
3330000 164
10.8%
3370000 104
 
6.8%
3310000 103
 
6.8%
3300000 102
 
6.7%
3380000 75
 
4.9%
3350000 54
 
3.5%
3340000 38
 
2.5%
Other values (6) 127
8.3%
ValueCountFrequency (%)
3250000 257
16.9%
3260000 22
 
1.4%
3270000 196
12.9%
3280000 9
 
0.6%
3290000 304
19.9%
3300000 102
 
6.7%
3310000 103
 
6.8%
3320000 34
 
2.2%
3330000 164
10.8%
3340000 38
 
2.5%
ValueCountFrequency (%)
3400000 11
 
0.7%
3390000 32
 
2.1%
3380000 75
4.9%
3370000 104
6.8%
3360000 19
 
1.2%
3350000 54
 
3.5%
3340000 38
 
2.5%
3330000 164
10.8%
3320000 34
 
2.2%
3310000 103
6.8%
Distinct464
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-04-18T05:15:14.680215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30480
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

Unique150 ?
Unique (%)9.8%

Sample

1st rowCDFI2260021989000002
2nd rowCDFI2260021997000004
3rd rowCDFI2260022016000014
4th rowCDFI2260022016000002
5th rowCDFI2260022017000017
ValueCountFrequency (%)
cdfi2260022017000002 15
 
1.0%
cdfi2260022019000001 14
 
0.9%
cdfi2260022017000001 14
 
0.9%
cdfi2260022020000001 13
 
0.9%
cdfi2260022001000001 13
 
0.9%
cdfi2260022019000002 12
 
0.8%
cdfi2260022016000002 12
 
0.8%
cdfi2260022013000001 11
 
0.7%
cdfi2260022020000002 11
 
0.7%
cdfi2260022014000001 11
 
0.7%
Other values (454) 1398
91.7%
2024-04-18T05:15:14.947363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12383
40.6%
2 6483
21.3%
6 1804
 
5.9%
1 1693
 
5.6%
C 1524
 
5.0%
D 1524
 
5.0%
F 1524
 
5.0%
I 1524
 
5.0%
9 532
 
1.7%
3 317
 
1.0%
Other values (4) 1172
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24384
80.0%
Uppercase Letter 6096
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12383
50.8%
2 6483
26.6%
6 1804
 
7.4%
1 1693
 
6.9%
9 532
 
2.2%
3 317
 
1.3%
7 312
 
1.3%
4 311
 
1.3%
5 298
 
1.2%
8 251
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1524
25.0%
D 1524
25.0%
F 1524
25.0%
I 1524
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24384
80.0%
Latin 6096
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12383
50.8%
2 6483
26.6%
6 1804
 
7.4%
1 1693
 
6.9%
9 532
 
2.2%
3 317
 
1.3%
7 312
 
1.3%
4 311
 
1.3%
5 298
 
1.2%
8 251
 
1.0%
Latin
ValueCountFrequency (%)
C 1524
25.0%
D 1524
25.0%
F 1524
25.0%
I 1524
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12383
40.6%
2 6483
21.3%
6 1804
 
5.9%
1 1693
 
5.6%
C 1524
 
5.0%
D 1524
 
5.0%
F 1524
 
5.0%
I 1524
 
5.0%
9 532
 
1.7%
3 317
 
1.0%
Other values (4) 1172
 
3.8%

인허가일자
Real number (ℝ)

Distinct1337
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090962
Minimum19840723
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:15.062855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840723
5-th percentile19970807
Q120041116
median20100114
Q320150447
95-th percentile20190313
Maximum20201224
Range360501
Interquartile range (IQR)109331

Descriptive statistics

Standard deviation68227.074
Coefficient of variation (CV)0.0033959088
Kurtosis-0.41670732
Mean20090962
Median Absolute Deviation (MAD)50510.5
Skewness-0.4346881
Sum3.0618626 × 1010
Variance4.6549336 × 109
MonotonicityNot monotonic
2024-04-18T05:15:15.173537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170126 5
 
0.3%
20190328 4
 
0.3%
20120709 3
 
0.2%
20090213 3
 
0.2%
20050607 3
 
0.2%
20131230 3
 
0.2%
20110506 3
 
0.2%
20131004 3
 
0.2%
20080312 3
 
0.2%
20170519 3
 
0.2%
Other values (1327) 1491
97.8%
ValueCountFrequency (%)
19840723 1
0.1%
19840924 1
0.1%
19870814 1
0.1%
19890316 1
0.1%
19890421 1
0.1%
19891229 1
0.1%
19900112 1
0.1%
19910325 1
0.1%
19910530 1
0.1%
19911001 1
0.1%
ValueCountFrequency (%)
20201224 1
0.1%
20200908 1
0.1%
20200730 1
0.1%
20200618 1
0.1%
20200617 1
0.1%
20200611 1
0.1%
20200529 1
0.1%
20200513 1
0.1%
20200428 1
0.1%
20200413 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)83.1%
Missing1459
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20135840
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:15.284508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030822
5-th percentile20070181
Q120100722
median20140912
Q320170705
95-th percentile20190986
Maximum20200226
Range169404
Interquartile range (IQR)69983

Descriptive statistics

Standard deviation43332.571
Coefficient of variation (CV)0.0021520121
Kurtosis-0.79510266
Mean20135840
Median Absolute Deviation (MAD)39205
Skewness-0.37104879
Sum1.3088296 × 109
Variance1.8777117 × 109
MonotonicityNot monotonic
2024-04-18T05:15:15.395638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200226 3
 
0.2%
20090722 3
 
0.2%
20190305 3
 
0.2%
20141007 2
 
0.1%
20101021 2
 
0.1%
20160129 2
 
0.1%
20140912 2
 
0.1%
20190515 2
 
0.1%
20180117 1
 
0.1%
20080104 1
 
0.1%
Other values (44) 44
 
2.9%
(Missing) 1459
95.7%
ValueCountFrequency (%)
20030822 1
 
0.1%
20040902 1
 
0.1%
20061011 1
 
0.1%
20070123 1
 
0.1%
20070413 1
 
0.1%
20070723 1
 
0.1%
20080104 1
 
0.1%
20080509 1
 
0.1%
20080813 1
 
0.1%
20090722 3
0.2%
ValueCountFrequency (%)
20200226 3
0.2%
20191104 1
 
0.1%
20190515 2
0.1%
20190305 3
0.2%
20180921 1
 
0.1%
20180920 1
 
0.1%
20180917 1
 
0.1%
20180503 1
 
0.1%
20180117 1
 
0.1%
20170907 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
1
732 
3
677 
4
91 
2
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 732
48.0%
3 677
44.4%
4 91
 
6.0%
2 24
 
1.6%

Length

2024-04-18T05:15:15.497552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:15.576216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 732
48.0%
3 677
44.4%
4 91
 
6.0%
2 24
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
영업/정상
732 
폐업
677 
취소/말소/만료/정지/중지
91 
휴업
 
24

Length

Max length14
Median length5
Mean length4.1574803
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 732
48.0%
폐업 677
44.4%
취소/말소/만료/정지/중지 91
 
6.0%
휴업 24
 
1.6%

Length

2024-04-18T05:15:15.952032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:16.033296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 732
48.0%
폐업 677
44.4%
취소/말소/만료/정지/중지 91
 
6.0%
휴업 24
 
1.6%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4625984
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:16.106800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.3068415
Coefficient of variation (CV)0.7721813
Kurtosis1.9667523
Mean9.4625984
Median Absolute Deviation (MAD)10
Skewness1.2868576
Sum14421
Variance53.389933
MonotonicityNot monotonic
2024-04-18T05:15:16.184644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 732
48.0%
3 677
44.4%
31 66
 
4.3%
2 24
 
1.6%
30 19
 
1.2%
35 6
 
0.4%
ValueCountFrequency (%)
2 24
 
1.6%
3 677
44.4%
13 732
48.0%
30 19
 
1.2%
31 66
 
4.3%
35 6
 
0.4%
ValueCountFrequency (%)
35 6
 
0.4%
31 66
 
4.3%
30 19
 
1.2%
13 732
48.0%
3 677
44.4%
2 24
 
1.6%
Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
영업중
732 
폐업
677 
등록취소
 
66
휴업
 
24
허가취소
 
19

Length

Max length4
Median length3
Mean length2.5997375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 732
48.0%
폐업 677
44.4%
등록취소 66
 
4.3%
휴업 24
 
1.6%
허가취소 19
 
1.2%
직권말소 6
 
0.4%

Length

2024-04-18T05:15:16.300646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:16.391219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 732
48.0%
폐업 677
44.4%
등록취소 66
 
4.3%
휴업 24
 
1.6%
허가취소 19
 
1.2%
직권말소 6
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct609
Distinct (%)89.8%
Missing846
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean20120492
Minimum19990403
Maximum21090618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:16.494118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990403
5-th percentile20020602
Q120080114
median20130112
Q320170515
95-th percentile20200541
Maximum21090618
Range1100215
Interquartile range (IQR)90401

Descriptive statistics

Standard deviation67731.16
Coefficient of variation (CV)0.0033662775
Kurtosis60.758342
Mean20120492
Median Absolute Deviation (MAD)49097.5
Skewness4.1177733
Sum1.3641694 × 1010
Variance4.5875101 × 109
MonotonicityNot monotonic
2024-04-18T05:15:16.598013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 8
 
0.5%
20001129 4
 
0.3%
20190919 3
 
0.2%
20190630 3
 
0.2%
20140717 3
 
0.2%
20200825 3
 
0.2%
20161018 3
 
0.2%
20200630 3
 
0.2%
20200424 2
 
0.1%
20170831 2
 
0.1%
Other values (599) 644
42.3%
(Missing) 846
55.5%
ValueCountFrequency (%)
19990403 1
 
0.1%
19990614 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991006 1
 
0.1%
19991104 1
 
0.1%
19991222 1
 
0.1%
20000111 8
0.5%
20000128 1
 
0.1%
20000609 1
 
0.1%
ValueCountFrequency (%)
21090618 1
0.1%
20201229 1
0.1%
20201221 1
0.1%
20201207 1
0.1%
20201127 1
0.1%
20201113 1
0.1%
20201103 1
0.1%
20201023 1
0.1%
20201006 1
0.1%
20200928 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing1500
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20195264
Minimum20150521
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:16.687277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150521
5-th percentile20163628
Q120197901
median20200808
Q320200903
95-th percentile20201201
Maximum20210101
Range59580
Interquartile range (IQR)3001.75

Descriptive statistics

Standard deviation13575.874
Coefficient of variation (CV)0.00067223057
Kurtosis5.7923452
Mean20195264
Median Absolute Deviation (MAD)250
Skewness-2.4350141
Sum4.8468635 × 108
Variance1.8430436 × 108
MonotonicityNot monotonic
2024-04-18T05:15:16.776367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20201201 2
 
0.1%
20150521 1
 
0.1%
20200801 1
 
0.1%
20200901 1
 
0.1%
20200311 1
 
0.1%
20201026 1
 
0.1%
20200824 1
 
0.1%
20200601 1
 
0.1%
20200301 1
 
0.1%
20200713 1
 
0.1%
Other values (13) 13
 
0.9%
(Missing) 1500
98.4%
ValueCountFrequency (%)
20150521 1
0.1%
20160721 1
0.1%
20180101 1
0.1%
20190111 1
0.1%
20190415 1
0.1%
20190701 1
0.1%
20200301 1
0.1%
20200311 1
0.1%
20200526 1
0.1%
20200601 1
0.1%
ValueCountFrequency (%)
20210101 1
0.1%
20201201 2
0.1%
20201026 1
0.1%
20201008 1
0.1%
20200905 1
0.1%
20200902 1
0.1%
20200901 1
0.1%
20200824 1
0.1%
20200821 1
0.1%
20200820 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)87.5%
Missing1500
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20201548
Minimum20160520
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:16.868321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160520
5-th percentile20164231
Q120200630
median20210166
Q320210552
95-th percentile20211114
Maximum20211130
Range50610
Interquartile range (IQR)9922

Descriptive statistics

Standard deviation14873.711
Coefficient of variation (CV)0.00073626592
Kurtosis3.2160436
Mean20201548
Median Absolute Deviation (MAD)911
Skewness-1.9475682
Sum4.8483716 × 108
Variance2.2122729 × 108
MonotonicityNot monotonic
2024-04-18T05:15:16.961422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20211130 2
 
0.1%
20201231 2
 
0.1%
20200630 2
 
0.1%
20210819 1
 
0.1%
20181231 1
 
0.1%
20210228 1
 
0.1%
20200831 1
 
0.1%
20211025 1
 
0.1%
20210824 1
 
0.1%
20210630 1
 
0.1%
Other values (11) 11
 
0.7%
(Missing) 1500
98.4%
ValueCountFrequency (%)
20160520 1
0.1%
20161231 1
0.1%
20181231 1
0.1%
20190811 1
0.1%
20191015 1
0.1%
20200630 2
0.1%
20200831 1
0.1%
20201231 2
0.1%
20210112 1
0.1%
20210120 1
0.1%
ValueCountFrequency (%)
20211130 2
0.1%
20211025 1
0.1%
20210824 1
0.1%
20210819 1
0.1%
20210630 1
0.1%
20210526 1
0.1%
20210407 1
0.1%
20210331 1
0.1%
20210304 1
0.1%
20210228 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

소재지전화
Text

MISSING 

Distinct1122
Distinct (%)96.4%
Missing360
Missing (%)23.6%
Memory size12.0 KiB
2024-04-18T05:15:17.152447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.654639
Min length1

Characters and Unicode

Total characters12402
Distinct characters18
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

Unique1084 ?
Unique (%)93.1%

Sample

1st row469-7731
2nd row468-7555
3rd row070-7008-7788
4th row051 7537300
5th row070 47909088
ValueCountFrequency (%)
051 34
 
2.8%
6
 
0.5%
070 6
 
0.5%
464-8802 3
 
0.2%
070-4848-4700 2
 
0.2%
465-1800 2
 
0.2%
051-203-7040 2
 
0.2%
051-611-7667 2
 
0.2%
051-462-5525 2
 
0.2%
051-796-1203 2
 
0.2%
Other values (1143) 1174
95.1%
2024-04-18T05:15:17.455861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1995
16.1%
- 1724
13.9%
1 1611
13.0%
5 1550
12.5%
4 956
7.7%
6 952
7.7%
8 825
6.7%
7 794
 
6.4%
2 793
 
6.4%
3 616
 
5.0%
Other values (8) 586
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10562
85.2%
Dash Punctuation 1724
 
13.9%
Space Separator 71
 
0.6%
Close Punctuation 27
 
0.2%
Other Punctuation 11
 
0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1995
18.9%
1 1611
15.3%
5 1550
14.7%
4 956
9.1%
6 952
9.0%
8 825
7.8%
7 794
 
7.5%
2 793
 
7.5%
3 616
 
5.8%
9 470
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
, 4
36.4%
' 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 1724
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1995
16.1%
- 1724
13.9%
1 1611
13.0%
5 1550
12.5%
4 956
7.7%
6 952
7.7%
8 825
6.7%
7 794
 
6.4%
2 793
 
6.4%
3 616
 
5.0%
Other values (8) 586
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1995
16.1%
- 1724
13.9%
1 1611
13.0%
5 1550
12.5%
4 956
7.7%
6 952
7.7%
8 825
6.7%
7 794
 
6.4%
2 793
 
6.4%
3 616
 
5.0%
Other values (8) 586
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)40.7%
Missing676
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean608420.24
Minimum600011
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:17.570445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600021
Q1601808
median608831
Q3613879.25
95-th percentile616739
Maximum619963
Range19952
Interquartile range (IQR)12071.25

Descriptive statistics

Standard deviation6002.8841
Coefficient of variation (CV)0.0098663452
Kurtosis-1.5188322
Mean608420.24
Median Absolute Deviation (MAD)6011.5
Skewness-0.17238436
Sum5.1594037 × 108
Variance36034618
MonotonicityNot monotonic
2024-04-18T05:15:17.686852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600815 36
 
2.4%
601839 19
 
1.2%
614826 16
 
1.0%
600014 15
 
1.0%
601715 13
 
0.9%
600816 12
 
0.8%
600013 12
 
0.8%
601837 11
 
0.7%
608804 11
 
0.7%
601010 10
 
0.7%
Other values (335) 693
45.5%
(Missing) 676
44.4%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 6
 
0.4%
600013 12
0.8%
600014 15
1.0%
600015 4
 
0.3%
600016 4
 
0.3%
600021 2
 
0.1%
600022 3
 
0.2%
600023 4
 
0.3%
600024 1
 
0.1%
ValueCountFrequency (%)
619963 1
0.1%
619905 1
0.1%
619901 1
0.1%
618899 2
0.1%
618820 1
0.1%
618200 1
0.1%
618142 1
0.1%
617844 1
0.1%
617835 1
0.1%
617831 2
0.1%
Distinct1411
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-04-18T05:15:17.927887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length26.763123
Min length12

Characters and Unicode

Total characters40787
Distinct characters401
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

Unique1325 ?
Unique (%)86.9%

Sample

1st row부산광역시 중구 중앙동4가 53-30번지 1층
2nd row부산광역시 중구 대창동2가 11-7
3rd row부산광역시 중구 대창동1가 51
4th row부산광역시 중구 중앙동4가 31-1번지
5th row부산광역시 중구 중앙동4가 23-1 1303호
ValueCountFrequency (%)
부산광역시 1524
 
19.6%
부산진구 305
 
3.9%
중구 256
 
3.3%
동구 197
 
2.5%
해운대구 163
 
2.1%
초량동 142
 
1.8%
중앙동4가 126
 
1.6%
부전동 125
 
1.6%
연제구 104
 
1.3%
남구 103
 
1.3%
Other values (2065) 4724
60.8%
2024-04-18T05:15:18.289983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6248
 
15.3%
2047
 
5.0%
1 2008
 
4.9%
1985
 
4.9%
1983
 
4.9%
1570
 
3.8%
1568
 
3.8%
1535
 
3.8%
1531
 
3.8%
- 1313
 
3.2%
Other values (391) 18999
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24306
59.6%
Decimal Number 8670
 
21.3%
Space Separator 6248
 
15.3%
Dash Punctuation 1313
 
3.2%
Uppercase Letter 150
 
0.4%
Lowercase Letter 42
 
0.1%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%
Other Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2047
 
8.4%
1985
 
8.2%
1983
 
8.2%
1570
 
6.5%
1568
 
6.5%
1535
 
6.3%
1531
 
6.3%
1190
 
4.9%
1142
 
4.7%
537
 
2.2%
Other values (335) 9218
37.9%
Uppercase Letter
ValueCountFrequency (%)
S 19
12.7%
B 16
10.7%
K 14
 
9.3%
T 14
 
9.3%
A 14
 
9.3%
C 9
 
6.0%
E 8
 
5.3%
O 7
 
4.7%
D 6
 
4.0%
I 6
 
4.0%
Other values (11) 37
24.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
23.8%
o 4
 
9.5%
l 4
 
9.5%
i 3
 
7.1%
a 2
 
4.8%
n 2
 
4.8%
w 2
 
4.8%
x 2
 
4.8%
p 2
 
4.8%
m 2
 
4.8%
Other values (8) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 2008
23.2%
2 1159
13.4%
3 967
11.2%
4 917
10.6%
0 864
10.0%
5 677
 
7.8%
8 589
 
6.8%
7 557
 
6.4%
6 531
 
6.1%
9 401
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 8
57.1%
, 5
35.7%
@ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
6248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24306
59.6%
Common 16289
39.9%
Latin 192
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2047
 
8.4%
1985
 
8.2%
1983
 
8.2%
1570
 
6.5%
1568
 
6.5%
1535
 
6.3%
1531
 
6.3%
1190
 
4.9%
1142
 
4.7%
537
 
2.2%
Other values (335) 9218
37.9%
Latin
ValueCountFrequency (%)
S 19
 
9.9%
B 16
 
8.3%
K 14
 
7.3%
T 14
 
7.3%
A 14
 
7.3%
e 10
 
5.2%
C 9
 
4.7%
E 8
 
4.2%
O 7
 
3.6%
D 6
 
3.1%
Other values (29) 75
39.1%
Common
ValueCountFrequency (%)
6248
38.4%
1 2008
 
12.3%
- 1313
 
8.1%
2 1159
 
7.1%
3 967
 
5.9%
4 917
 
5.6%
0 864
 
5.3%
5 677
 
4.2%
8 589
 
3.6%
7 557
 
3.4%
Other values (7) 990
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24306
59.6%
ASCII 16481
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6248
37.9%
1 2008
 
12.2%
- 1313
 
8.0%
2 1159
 
7.0%
3 967
 
5.9%
4 917
 
5.6%
0 864
 
5.2%
5 677
 
4.1%
8 589
 
3.6%
7 557
 
3.4%
Other values (46) 1182
 
7.2%
Hangul
ValueCountFrequency (%)
2047
 
8.4%
1985
 
8.2%
1983
 
8.2%
1570
 
6.5%
1568
 
6.5%
1535
 
6.3%
1531
 
6.3%
1190
 
4.9%
1142
 
4.7%
537
 
2.2%
Other values (335) 9218
37.9%

도로명전체주소
Text

MISSING 

Distinct1398
Distinct (%)96.3%
Missing73
Missing (%)4.8%
Memory size12.0 KiB
2024-04-18T05:15:18.546917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length34.008959
Min length20

Characters and Unicode

Total characters49347
Distinct characters424
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1354 ?
Unique (%)93.3%

Sample

1st row부산광역시 중구 중앙대로81번길 2 (중앙동4가,1층)
2nd row부산광역시 중구 중앙대로 151 (대창동2가)
3rd row부산광역시 중구 해관로 89, 10층 8호 (대창동1가, 중앙빌딩)
4th row부산광역시 중구 중앙대로81번길 3 (중앙동4가)
5th row부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)
ValueCountFrequency (%)
부산광역시 1451
 
15.6%
부산진구 288
 
3.1%
중구 247
 
2.7%
중앙대로 243
 
2.6%
동구 176
 
1.9%
해운대구 157
 
1.7%
2층 122
 
1.3%
연제구 103
 
1.1%
남구 102
 
1.1%
동래구 100
 
1.1%
Other values (2056) 6297
67.8%
2024-04-18T05:15:18.946985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8148
 
16.5%
2036
 
4.1%
1995
 
4.0%
1914
 
3.9%
1 1778
 
3.6%
, 1615
 
3.3%
1549
 
3.1%
1534
 
3.1%
1487
 
3.0%
1459
 
3.0%
Other values (414) 25832
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28419
57.6%
Space Separator 8148
 
16.5%
Decimal Number 7812
 
15.8%
Other Punctuation 1621
 
3.3%
Open Punctuation 1459
 
3.0%
Close Punctuation 1459
 
3.0%
Dash Punctuation 192
 
0.4%
Uppercase Letter 185
 
0.4%
Lowercase Letter 49
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2036
 
7.2%
1995
 
7.0%
1914
 
6.7%
1549
 
5.5%
1534
 
5.4%
1487
 
5.2%
1459
 
5.1%
1452
 
5.1%
999
 
3.5%
851
 
3.0%
Other values (357) 13143
46.2%
Uppercase Letter
ValueCountFrequency (%)
C 22
11.9%
S 21
11.4%
A 20
10.8%
B 19
10.3%
K 16
8.6%
E 15
 
8.1%
T 12
 
6.5%
I 8
 
4.3%
P 7
 
3.8%
Y 6
 
3.2%
Other values (12) 39
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
26.5%
i 4
 
8.2%
l 4
 
8.2%
o 4
 
8.2%
p 2
 
4.1%
a 2
 
4.1%
d 2
 
4.1%
u 2
 
4.1%
m 2
 
4.1%
x 2
 
4.1%
Other values (8) 12
24.5%
Decimal Number
ValueCountFrequency (%)
1 1778
22.8%
2 1148
14.7%
3 946
12.1%
0 919
11.8%
4 693
 
8.9%
5 548
 
7.0%
6 507
 
6.5%
7 467
 
6.0%
8 406
 
5.2%
9 400
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 1615
99.6%
/ 6
 
0.4%
Space Separator
ValueCountFrequency (%)
8148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28419
57.6%
Common 20694
41.9%
Latin 234
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2036
 
7.2%
1995
 
7.0%
1914
 
6.7%
1549
 
5.5%
1534
 
5.4%
1487
 
5.2%
1459
 
5.1%
1452
 
5.1%
999
 
3.5%
851
 
3.0%
Other values (357) 13143
46.2%
Latin
ValueCountFrequency (%)
C 22
 
9.4%
S 21
 
9.0%
A 20
 
8.5%
B 19
 
8.1%
K 16
 
6.8%
E 15
 
6.4%
e 13
 
5.6%
T 12
 
5.1%
I 8
 
3.4%
P 7
 
3.0%
Other values (30) 81
34.6%
Common
ValueCountFrequency (%)
8148
39.4%
1 1778
 
8.6%
, 1615
 
7.8%
( 1459
 
7.1%
) 1459
 
7.1%
2 1148
 
5.5%
3 946
 
4.6%
0 919
 
4.4%
4 693
 
3.3%
5 548
 
2.6%
Other values (7) 1981
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28419
57.6%
ASCII 20928
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8148
38.9%
1 1778
 
8.5%
, 1615
 
7.7%
( 1459
 
7.0%
) 1459
 
7.0%
2 1148
 
5.5%
3 946
 
4.5%
0 919
 
4.4%
4 693
 
3.3%
5 548
 
2.6%
Other values (47) 2215
 
10.6%
Hangul
ValueCountFrequency (%)
2036
 
7.2%
1995
 
7.0%
1914
 
6.7%
1549
 
5.5%
1534
 
5.4%
1487
 
5.2%
1459
 
5.1%
1452
 
5.1%
999
 
3.5%
851
 
3.0%
Other values (357) 13143
46.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct504
Distinct (%)49.1%
Missing497
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean105941.53
Minimum46007
Maximum619960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:19.053484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46007
5-th percentile46526
Q147353
median48114
Q348924
95-th percentile612040
Maximum619960
Range573953
Interquartile range (IQR)1571

Descriptive statistics

Standard deviation170929.01
Coefficient of variation (CV)1.6134278
Kurtosis4.8372422
Mean105941.53
Median Absolute Deviation (MAD)810
Skewness2.6127172
Sum1.0880195 × 108
Variance2.9216726 × 1010
MonotonicityNot monotonic
2024-04-18T05:15:19.153303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 30
 
2.0%
47257 21
 
1.4%
48924 18
 
1.2%
48508 15
 
1.0%
48930 14
 
0.9%
48821 13
 
0.9%
48792 13
 
0.9%
48092 12
 
0.8%
48938 12
 
0.8%
48060 12
 
0.8%
Other values (494) 867
56.9%
(Missing) 497
32.6%
ValueCountFrequency (%)
46007 1
0.1%
46015 2
0.1%
46019 1
0.1%
46024 1
0.1%
46056 1
0.1%
46063 1
0.1%
46064 1
0.1%
46066 1
0.1%
46072 1
0.1%
46213 1
0.1%
ValueCountFrequency (%)
619960 1
 
0.1%
618899 1
 
0.1%
618820 1
 
0.1%
618142 1
 
0.1%
617814 1
 
0.1%
617809 1
 
0.1%
617807 1
 
0.1%
616852 3
0.2%
616727 1
 
0.1%
614854 1
 
0.1%
Distinct1486
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-04-18T05:15:19.336481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length8.32021
Min length2

Characters and Unicode

Total characters12680
Distinct characters527
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1448 ?
Unique (%)95.0%

Sample

1st row(주)팔성국제관광
2nd row(주)남태평양관광
3rd rowPMP 투어
4th row파초여행(주)
5th row수트래블
ValueCountFrequency (%)
주식회사 95
 
5.2%
여행사 35
 
1.9%
22
 
1.2%
투어 22
 
1.2%
여행 11
 
0.6%
tour 11
 
0.6%
트래블 4
 
0.2%
부산 4
 
0.2%
협동조합 4
 
0.2%
3
 
0.2%
Other values (1561) 1630
88.5%
2024-04-18T05:15:19.631423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1141
 
9.0%
) 1042
 
8.2%
( 1041
 
8.2%
609
 
4.8%
607
 
4.8%
569
 
4.5%
535
 
4.2%
530
 
4.2%
317
 
2.5%
251
 
2.0%
Other values (517) 6038
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9959
78.5%
Close Punctuation 1042
 
8.2%
Open Punctuation 1041
 
8.2%
Space Separator 317
 
2.5%
Uppercase Letter 206
 
1.6%
Lowercase Letter 66
 
0.5%
Other Punctuation 27
 
0.2%
Decimal Number 18
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1141
 
11.5%
609
 
6.1%
607
 
6.1%
569
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
151
 
1.5%
146
 
1.5%
Other values (458) 5197
52.2%
Uppercase Letter
ValueCountFrequency (%)
T 32
15.5%
O 21
 
10.2%
R 17
 
8.3%
U 12
 
5.8%
E 12
 
5.8%
H 11
 
5.3%
A 10
 
4.9%
I 9
 
4.4%
J 9
 
4.4%
S 8
 
3.9%
Other values (14) 65
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.6%
r 7
10.6%
a 7
10.6%
l 5
 
7.6%
t 5
 
7.6%
e 4
 
6.1%
w 3
 
4.5%
u 3
 
4.5%
i 3
 
4.5%
m 3
 
4.5%
Other values (11) 17
25.8%
Decimal Number
ValueCountFrequency (%)
8 5
27.8%
1 5
27.8%
2 5
27.8%
4 2
 
11.1%
0 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 20
74.1%
& 3
 
11.1%
, 2
 
7.4%
· 2
 
7.4%
Close Punctuation
ValueCountFrequency (%)
) 1042
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1041
100.0%
Space Separator
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9959
78.5%
Common 2449
 
19.3%
Latin 272
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1141
 
11.5%
609
 
6.1%
607
 
6.1%
569
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
151
 
1.5%
146
 
1.5%
Other values (458) 5197
52.2%
Latin
ValueCountFrequency (%)
T 32
 
11.8%
O 21
 
7.7%
R 17
 
6.2%
U 12
 
4.4%
E 12
 
4.4%
H 11
 
4.0%
A 10
 
3.7%
o 9
 
3.3%
I 9
 
3.3%
J 9
 
3.3%
Other values (35) 130
47.8%
Common
ValueCountFrequency (%)
) 1042
42.5%
( 1041
42.5%
317
 
12.9%
. 20
 
0.8%
8 5
 
0.2%
1 5
 
0.2%
2 5
 
0.2%
- 3
 
0.1%
& 3
 
0.1%
, 2
 
0.1%
Other values (4) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9959
78.5%
ASCII 2719
 
21.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1141
 
11.5%
609
 
6.1%
607
 
6.1%
569
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
151
 
1.5%
146
 
1.5%
Other values (458) 5197
52.2%
ASCII
ValueCountFrequency (%)
) 1042
38.3%
( 1041
38.3%
317
 
11.7%
T 32
 
1.2%
O 21
 
0.8%
. 20
 
0.7%
R 17
 
0.6%
U 12
 
0.4%
E 12
 
0.4%
H 11
 
0.4%
Other values (48) 194
 
7.1%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

Distinct1499
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016012 × 1013
Minimum2.0021018 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:19.743265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041222 × 1013
Q12.0130688 × 1013
median2.0190603 × 1013
Q32.0200526 × 1013
95-th percentile2.020103 × 1013
Maximum2.0201231 × 1013
Range1.8021303 × 1011
Interquartile range (IQR)6.9838251 × 1010

Descriptive statistics

Standard deviation5.1980137 × 1010
Coefficient of variation (CV)0.0025783645
Kurtosis-0.021801277
Mean2.016012 × 1013
Median Absolute Deviation (MAD)1.035099 × 1010
Skewness-1.130831
Sum3.0724023 × 1016
Variance2.7019346 × 1021
MonotonicityNot monotonic
2024-04-18T05:15:19.857407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161348 14
 
0.9%
20030127161421 13
 
0.9%
20191125152411 1
 
0.1%
20200928143031 1
 
0.1%
20200303180524 1
 
0.1%
20191129142304 1
 
0.1%
20200327115410 1
 
0.1%
20200724101111 1
 
0.1%
20190715094149 1
 
0.1%
20200122151348 1
 
0.1%
Other values (1489) 1489
97.7%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165315 1
 
0.1%
20030127161348 14
0.9%
20030127161421 13
0.9%
20030312181241 1
 
0.1%
20030319111845 1
 
0.1%
20030319113847 1
 
0.1%
20030422140241 1
 
0.1%
20030516111006 1
 
0.1%
20030526111222 1
 
0.1%
ValueCountFrequency (%)
20201231164359 1
0.1%
20201231163615 1
0.1%
20201231162318 1
0.1%
20201231162213 1
0.1%
20201231101853 1
0.1%
20201231095244 1
0.1%
20201230102854 1
0.1%
20201229181901 1
0.1%
20201228104452 1
0.1%
20201228090556 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
U
811 
I
713 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 811
53.2%
I 713
46.8%

Length

2024-04-18T05:15:19.962541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:20.036907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 811
53.2%
i 713
46.8%
Distinct379
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-18T05:15:20.120557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:15:20.229840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct977
Distinct (%)66.2%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean388221.97
Minimum368967.07
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:20.338242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368967.07
5-th percentile381690.44
Q1385676.23
median387735.95
Q3390196.99
95-th percentile396180.62
Maximum402047.51
Range33080.438
Interquartile range (IQR)4520.7654

Descriptive statistics

Standard deviation4128.8036
Coefficient of variation (CV)0.010635162
Kurtosis1.6477046
Mean388221.97
Median Absolute Deviation (MAD)2105.2043
Skewness0.15384949
Sum5.7301562 × 108
Variance17047019
MonotonicityNot monotonic
2024-04-18T05:15:20.468845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387225.613588405 29
 
1.9%
391411.212179843 25
 
1.6%
385473.576409934 18
 
1.2%
385507.640529964 18
 
1.2%
385502.492319657 15
 
1.0%
386093.674147239 15
 
1.0%
387778.879751482 14
 
0.9%
385676.22672246 10
 
0.7%
385561.650139456 10
 
0.7%
387869.134317928 10
 
0.7%
Other values (967) 1312
86.1%
(Missing) 48
 
3.1%
ValueCountFrequency (%)
368967.073191522 1
0.1%
369562.400873148 1
0.1%
370724.725584034 1
0.1%
373506.567424228 1
0.1%
374032.128682044 1
0.1%
374846.363500608 1
0.1%
374855.262495739 1
0.1%
375081.023101277 1
0.1%
375136.600064481 1
0.1%
375347.880983364 1
0.1%
ValueCountFrequency (%)
402047.511203294 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401641.020500667 1
0.1%
401544.23446258 1
0.1%
400815.753437419 1
0.1%
400785.386135101 1
0.1%
400758.886505466 1
0.1%
399319.299298474 1
0.1%
399031.644528728 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct977
Distinct (%)66.2%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean185617.56
Minimum174307.15
Maximum205995.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:20.590875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179877.2
Q1181342.8
median185983.92
Q3188211.83
95-th percentile193792.86
Maximum205995.9
Range31688.756
Interquartile range (IQR)6869.0346

Descriptive statistics

Standard deviation4490.9904
Coefficient of variation (CV)0.024194858
Kurtosis0.68354009
Mean185617.56
Median Absolute Deviation (MAD)3380.2414
Skewness0.63111067
Sum2.7397152 × 108
Variance20168995
MonotonicityNot monotonic
2024-04-18T05:15:20.689302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186408.726533861 29
 
1.9%
184052.409245407 25
 
1.6%
180297.978228551 18
 
1.2%
180548.792611588 18
 
1.2%
180297.579330876 15
 
1.0%
182068.358104572 15
 
1.0%
184455.754008589 14
 
0.9%
180949.186545775 10
 
0.7%
180152.738082365 10
 
0.7%
186381.28184674 10
 
0.7%
Other values (967) 1312
86.1%
(Missing) 48
 
3.1%
ValueCountFrequency (%)
174307.148168245 1
0.1%
174856.056137804 1
0.1%
175087.296427656 1
0.1%
175314.286676535 1
0.1%
176115.246760367 1
0.1%
177441.748341131 1
0.1%
177503.490301168 1
0.1%
177655.928945174 1
0.1%
177674.066929899 1
0.1%
177733.129142587 1
0.1%
ValueCountFrequency (%)
205995.903772118 1
0.1%
205215.662219856 1
0.1%
204802.042928644 1
0.1%
204665.784677421 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
199051.512822937 1
0.1%
198984.033259358 1
0.1%
198318.429497447 1
0.1%
198282.937017706 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
국외여행업
1524 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국외여행업 1524
100.0%

Length

2024-04-18T05:15:20.782698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:20.854800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1524
100.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
813 
관광사업
711 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 813
53.3%
관광사업 711
46.7%

Length

2024-04-18T05:15:20.946771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:21.039948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 813
53.3%
관광사업 711
46.7%

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1281 
일반주거지역
 
50
일반상업지역
 
46
준주거지역
 
42
상업지역
 
41
Other values (6)
 
64

Length

Max length6
Median length4
Mean length4.2119423
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1281
84.1%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.8%
상업지역 41
 
2.7%
근린상업지역 34
 
2.2%
주거지역 15
 
1.0%
준공업지역 9
 
0.6%
중심상업지역 3
 
0.2%
자연녹지지역 2
 
0.1%

Length

2024-04-18T05:15:21.155841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1281
84.1%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.8%
상업지역 41
 
2.7%
근린상업지역 34
 
2.2%
주거지역 15
 
1.0%
준공업지역 9
 
0.6%
중심상업지역 3
 
0.2%
자연녹지지역 2
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)13.0%
Missing1294
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean6.1869565
Minimum0
Maximum54
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:21.276426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile20.55
Maximum54
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.609165
Coefficient of variation (CV)1.2298721
Kurtosis12.892301
Mean6.1869565
Median Absolute Deviation (MAD)2
Skewness3.1665594
Sum1423
Variance57.899392
MonotonicityNot monotonic
2024-04-18T05:15:21.384095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3 33
 
2.2%
4 30
 
2.0%
2 30
 
2.0%
5 23
 
1.5%
0 19
 
1.2%
6 18
 
1.2%
1 18
 
1.2%
7 10
 
0.7%
10 9
 
0.6%
8 7
 
0.5%
Other values (20) 33
 
2.2%
(Missing) 1294
84.9%
ValueCountFrequency (%)
0 19
1.2%
1 18
1.2%
2 30
2.0%
3 33
2.2%
4 30
2.0%
5 23
1.5%
6 18
1.2%
7 10
 
0.7%
8 7
 
0.5%
9 4
 
0.3%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
33 2
0.1%
31 3
0.2%
27 1
 
0.1%
25 1
 
0.1%
24 1
 
0.1%
23 1
 
0.1%
21 1
 
0.1%
20 3
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1366 
기타
 
80
주택가주변
 
22
학교정화(상대)
 
21
아파트지역
 
18
Other values (3)
 
17

Length

Max length8
Median length4
Mean length4.0183727
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> 1366
89.6%
기타 80
 
5.2%
주택가주변 22
 
1.4%
학교정화(상대) 21
 
1.4%
아파트지역 18
 
1.2%
유흥업소밀집지역 10
 
0.7%
결혼예식장주변 4
 
0.3%
학교정화(절대) 3
 
0.2%

Length

2024-04-18T05:15:21.481613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:21.572914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1366
89.6%
기타 80
 
5.2%
주택가주변 22
 
1.4%
학교정화(상대 21
 
1.4%
아파트지역 18
 
1.2%
유흥업소밀집지역 10
 
0.7%
결혼예식장주변 4
 
0.3%
학교정화(절대 3
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

보험기관명
Categorical

Distinct32
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
515 
서울보증보험
331 
서울보증보험주식회사
318 
한국관광협회
91 
한국관광협회중앙회 여행공제회
91 
Other values (27)
178 

Length

Max length18
Median length16
Mean length7.0905512
Min length4

Unique

Unique13 ?
Unique (%)0.9%

Sample

1st row서울보증보험
2nd row한국관광협회
3rd row서울보증보험
4th row서울보증보험
5th row서울보증보험

Common Values

ValueCountFrequency (%)
<NA> 515
33.8%
서울보증보험 331
21.7%
서울보증보험주식회사 318
20.9%
한국관광협회 91
 
6.0%
한국관광협회중앙회 여행공제회 91
 
6.0%
한국관광협회중앙회 66
 
4.3%
서울보증보험(주) 27
 
1.8%
부산광역시관광협회 15
 
1.0%
한국관광협회중앙회여행공제회 10
 
0.7%
한국관광협회중앙회 관광공제회 10
 
0.7%
Other values (22) 50
 
3.3%

Length

2024-04-18T05:15:21.703313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 515
31.4%
서울보증보험 332
20.2%
서울보증보험주식회사 318
19.4%
한국관광협회중앙회 169
 
10.3%
여행공제회 94
 
5.7%
한국관광협회 93
 
5.7%
서울보증보험(주 27
 
1.6%
관광공제회 19
 
1.2%
부산광역시관광협회 15
 
0.9%
관광협회 13
 
0.8%
Other values (21) 46
 
2.8%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1245 
근린생활시설
184 
사무실
 
74
기타
 
6
교육연구시설
 
4
Other values (6)
 
11

Length

Max length12
Median length4
Mean length4.1935696
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1245
81.7%
근린생활시설 184
 
12.1%
사무실 74
 
4.9%
기타 6
 
0.4%
교육연구시설 4
 
0.3%
아파트 3
 
0.2%
단독주택 3
 
0.2%
유통시설 2
 
0.1%
복지시설 1
 
0.1%
운수시설 1
 
0.1%

Length

2024-04-18T05:15:22.129932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1245
81.7%
근린생활시설 184
 
12.1%
사무실 74
 
4.9%
기타 6
 
0.4%
교육연구시설 4
 
0.3%
아파트 3
 
0.2%
단독주택 3
 
0.2%
유통시설 2
 
0.1%
복지시설 1
 
0.1%
운수시설 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)11.7%
Missing1284
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean5.5625
Minimum0
Maximum49
Zeros18
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:22.224073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile19.05
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.7138346
Coefficient of variation (CV)1.2069815
Kurtosis12.096476
Mean5.5625
Median Absolute Deviation (MAD)2
Skewness3.004061
Sum1335
Variance45.075575
MonotonicityNot monotonic
2024-04-18T05:15:22.342478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 49
 
3.2%
3 42
 
2.8%
4 23
 
1.5%
5 20
 
1.3%
1 20
 
1.3%
0 18
 
1.2%
6 12
 
0.8%
9 9
 
0.6%
7 7
 
0.5%
8 5
 
0.3%
Other values (18) 35
 
2.3%
(Missing) 1284
84.3%
ValueCountFrequency (%)
0 18
 
1.2%
1 20
1.3%
2 49
3.2%
3 42
2.8%
4 23
1.5%
5 20
1.3%
6 12
 
0.8%
7 7
 
0.5%
8 5
 
0.3%
9 9
 
0.6%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
22 1
 
0.1%
20 3
0.2%
19 2
0.1%
18 2
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.8%
Missing1385
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean1.3956835
Minimum0
Maximum7
Zeros28
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:22.423421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31.5
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.4376849
Coefficient of variation (CV)1.0300938
Kurtosis3.2221602
Mean1.3956835
Median Absolute Deviation (MAD)0
Skewness1.8600519
Sum194
Variance2.0669378
MonotonicityNot monotonic
2024-04-18T05:15:22.508221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 76
 
5.0%
0 28
 
1.8%
2 17
 
1.1%
5 8
 
0.5%
4 4
 
0.3%
3 3
 
0.2%
6 2
 
0.1%
7 1
 
0.1%
(Missing) 1385
90.9%
ValueCountFrequency (%)
0 28
 
1.8%
1 76
5.0%
2 17
 
1.1%
3 3
 
0.2%
4 4
 
0.3%
5 8
 
0.5%
6 2
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 2
 
0.1%
5 8
 
0.5%
4 4
 
0.3%
3 3
 
0.2%
2 17
 
1.1%
1 76
5.0%
0 28
 
1.8%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

영문상호명
Text

MISSING 

Distinct67
Distinct (%)98.5%
Missing1456
Missing (%)95.5%
Memory size12.0 KiB
2024-04-18T05:15:22.719292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length17.926471
Min length1

Characters and Unicode

Total characters1219
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)97.1%

Sample

1st rowCross Market
2nd row0
3rd rowCodi Tour Co., LTD
4th rowKUKJE TRAVEL SERVICE., Inc
5th rowUNI. WORLD. TOUR
ValueCountFrequency (%)
tour 23
 
11.1%
travel 17
 
8.2%
co 14
 
6.7%
co.,ltd 13
 
6.2%
ltd 13
 
6.2%
agency 6
 
2.9%
inc 6
 
2.9%
service 5
 
2.4%
international 4
 
1.9%
co.ltd 4
 
1.9%
Other values (95) 103
49.5%
2024-04-18T05:15:23.028969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
11.5%
T 81
 
6.6%
L 57
 
4.7%
O 53
 
4.3%
A 52
 
4.3%
R 52
 
4.3%
E 51
 
4.2%
C 50
 
4.1%
o 49
 
4.0%
. 45
 
3.7%
Other values (47) 589
48.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 673
55.2%
Lowercase Letter 320
26.3%
Space Separator 140
 
11.5%
Other Punctuation 75
 
6.2%
Decimal Number 7
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 81
12.0%
L 57
 
8.5%
O 53
 
7.9%
A 52
 
7.7%
R 52
 
7.7%
E 51
 
7.6%
C 50
 
7.4%
I 41
 
6.1%
N 41
 
6.1%
U 30
 
4.5%
Other values (14) 165
24.5%
Lowercase Letter
ValueCountFrequency (%)
o 49
15.3%
r 30
9.4%
t 29
9.1%
a 27
 
8.4%
e 26
 
8.1%
d 21
 
6.6%
n 20
 
6.2%
l 18
 
5.6%
u 16
 
5.0%
c 16
 
5.0%
Other values (13) 68
21.2%
Decimal Number
ValueCountFrequency (%)
8 3
42.9%
0 2
28.6%
4 1
 
14.3%
2 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 45
60.0%
, 28
37.3%
& 2
 
2.7%
Space Separator
ValueCountFrequency (%)
140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 993
81.5%
Common 226
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 81
 
8.2%
L 57
 
5.7%
O 53
 
5.3%
A 52
 
5.2%
R 52
 
5.2%
E 51
 
5.1%
C 50
 
5.0%
o 49
 
4.9%
I 41
 
4.1%
N 41
 
4.1%
Other values (37) 466
46.9%
Common
ValueCountFrequency (%)
140
61.9%
. 45
 
19.9%
, 28
 
12.4%
8 3
 
1.3%
0 2
 
0.9%
& 2
 
0.9%
( 2
 
0.9%
) 2
 
0.9%
4 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
 
11.5%
T 81
 
6.6%
L 57
 
4.7%
O 53
 
4.3%
A 52
 
4.3%
R 52
 
4.3%
E 51
 
4.2%
C 50
 
4.1%
o 49
 
4.0%
. 45
 
3.7%
Other values (47) 589
48.3%

영문상호주소
Categorical

IMBALANCE 

Distinct24
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1459 
Overseas travel business
 
21
Oversea Travel Business
 
7
OVERSEAS TRAVEL BUSINESS
 
7
OVERSEAS TRAVEL AGENCY
 
4
Other values (19)
 
26

Length

Max length27
Median length4
Mean length4.8261155
Min length4

Unique

Unique14 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1459
95.7%
Overseas travel business 21
 
1.4%
Oversea Travel Business 7
 
0.5%
OVERSEAS TRAVEL BUSINESS 7
 
0.5%
OVERSEAS TRAVEL AGENCY 4
 
0.3%
Overseas Travel Agency 3
 
0.2%
Overseas Travel Business 3
 
0.2%
Foreign Travel Agency 2
 
0.1%
International Travel Agency 2
 
0.1%
Domestic Traval Agency 2
 
0.1%
Other values (14) 14
 
0.9%

Length

2024-04-18T05:15:23.136720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1459
88.2%
travel 60
 
3.6%
business 44
 
2.7%
overseas 41
 
2.5%
agency 17
 
1.0%
foreign 10
 
0.6%
oversea 7
 
0.4%
traval 3
 
0.2%
domestic 2
 
0.1%
international 2
 
0.1%
Other values (8) 10
 
0.6%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct248
Distinct (%)75.6%
Missing1196
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean221.25902
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:23.230395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.48
median46
Q388.695
95-th percentile222.71
Maximum43511
Range43511
Interquartile range (IQR)61.215

Descriptive statistics

Standard deviation2413.2868
Coefficient of variation (CV)10.907066
Kurtosis319.49031
Mean221.25902
Median Absolute Deviation (MAD)26
Skewness17.774396
Sum72572.96
Variance5823953.3
MonotonicityNot monotonic
2024-04-18T05:15:23.329717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
1.2%
33.0 11
 
0.7%
20.0 6
 
0.4%
66.0 5
 
0.3%
50.0 5
 
0.3%
33.14 4
 
0.3%
39.6 4
 
0.3%
42.05 4
 
0.3%
30.0 4
 
0.3%
49.5 3
 
0.2%
Other values (238) 263
 
17.3%
(Missing) 1196
78.5%
ValueCountFrequency (%)
0.0 19
1.2%
4.0 1
 
0.1%
4.05 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
7.0 1
 
0.1%
8.2 1
 
0.1%
8.4 1
 
0.1%
8.96 1
 
0.1%
9.94 1
 
0.1%
ValueCountFrequency (%)
43511.0 1
0.1%
3920.67 1
0.1%
2808.0 1
0.1%
1022.9 1
0.1%
735.0 1
0.1%
373.0 1
0.1%
364.0 1
0.1%
332.0 1
0.1%
316.67 1
0.1%
286.5 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

기획여행보험시작일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1514
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20187723
Minimum20160718
Maximum20201113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:23.420120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160718
5-th percentile20165304
Q120182836
median20190812
Q320197886
95-th percentile20200886
Maximum20201113
Range40395
Interquartile range (IQR)15050.5

Descriptive statistics

Standard deviation13364.334
Coefficient of variation (CV)0.00066200301
Kurtosis0.44040511
Mean20187723
Median Absolute Deviation (MAD)9545
Skewness-1.0650683
Sum2.0187723 × 108
Variance1.7860541 × 108
MonotonicityNot monotonic
2024-04-18T05:15:23.523325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20190718 1
 
0.1%
20170910 1
 
0.1%
20200106 1
 
0.1%
20190901 1
 
0.1%
20160718 1
 
0.1%
20200609 1
 
0.1%
20190724 1
 
0.1%
20180208 1
 
0.1%
20201113 1
 
0.1%
20191226 1
 
0.1%
(Missing) 1514
99.3%
ValueCountFrequency (%)
20160718 1
0.1%
20170910 1
0.1%
20180208 1
0.1%
20190718 1
0.1%
20190724 1
0.1%
20190901 1
0.1%
20191226 1
0.1%
20200106 1
0.1%
20200609 1
0.1%
20201113 1
0.1%
ValueCountFrequency (%)
20201113 1
0.1%
20200609 1
0.1%
20200106 1
0.1%
20191226 1
0.1%
20190901 1
0.1%
20190724 1
0.1%
20190718 1
0.1%
20180208 1
0.1%
20170910 1
0.1%
20160718 1
0.1%

기획여행보험종료일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1514
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20198716
Minimum20170718
Maximum20211113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:23.639311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170718
5-th percentile20179488
Q120193361
median20200777
Q320207885
95-th percentile20210886
Maximum20211113
Range40395
Interquartile range (IQR)14524

Descriptive statistics

Standard deviation12296.514
Coefficient of variation (CV)0.00060877701
Kurtosis2.189879
Mean20198716
Median Absolute Deviation (MAD)9579.5
Skewness-1.3395343
Sum2.0198716 × 108
Variance1.5120425 × 108
MonotonicityNot monotonic
2024-04-18T05:15:23.732519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20200717 1
 
0.1%
20190909 1
 
0.1%
20210105 1
 
0.1%
20200831 1
 
0.1%
20170718 1
 
0.1%
20210608 1
 
0.1%
20200723 1
 
0.1%
20190208 1
 
0.1%
20211113 1
 
0.1%
20201225 1
 
0.1%
(Missing) 1514
99.3%
ValueCountFrequency (%)
20170718 1
0.1%
20190208 1
0.1%
20190909 1
0.1%
20200717 1
0.1%
20200723 1
0.1%
20200831 1
0.1%
20201225 1
0.1%
20210105 1
0.1%
20210608 1
0.1%
20211113 1
0.1%
ValueCountFrequency (%)
20211113 1
0.1%
20210608 1
0.1%
20210105 1
0.1%
20201225 1
0.1%
20200831 1
0.1%
20200723 1
0.1%
20200717 1
0.1%
20190909 1
0.1%
20190208 1
0.1%
20170718 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED 

Distinct132
Distinct (%)13.3%
Missing532
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean97055122
Minimum60000
Maximum6.5122084 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:23.833326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60000
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.5 × 108
Maximum6.5122084 × 109
Range6.5121484 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation2.1367149 × 108
Coefficient of variation (CV)2.2015478
Kurtosis822.35965
Mean97055122
Median Absolute Deviation (MAD)40000000
Skewness27.514635
Sum9.6278681 × 1010
Variance4.5655506 × 1016
MonotonicityNot monotonic
2024-04-18T05:15:23.935679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 324
21.3%
60000000 184
 
12.1%
150000000 118
 
7.7%
30000000 92
 
6.0%
90000000 53
 
3.5%
50000000 24
 
1.6%
45000000 22
 
1.4%
70000000 7
 
0.5%
200000000 6
 
0.4%
63000000 6
 
0.4%
Other values (122) 156
 
10.2%
(Missing) 532
34.9%
ValueCountFrequency (%)
60000 2
 
0.1%
600000 1
 
0.1%
1000000 1
 
0.1%
5100000 1
 
0.1%
6000000 2
 
0.1%
10000000 5
 
0.3%
11000000 1
 
0.1%
15000000 2
 
0.1%
30000000 92
6.0%
30013165 1
 
0.1%
ValueCountFrequency (%)
6512208375 1
 
0.1%
950000000 1
 
0.1%
700000000 2
 
0.1%
603654783 1
 
0.1%
500000000 4
0.3%
300000000 2
 
0.1%
281323639 1
 
0.1%
264696930 1
 
0.1%
250000000 1
 
0.1%
200000000 6
0.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct747
Distinct (%)70.6%
Missing466
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean20180185
Minimum20021021
Maximum20210105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:24.042284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110809
Q120171146
median20191001
Q320200403
95-th percentile20201008
Maximum20210105
Range189084
Interquartile range (IQR)29257.5

Descriptive statistics

Standard deviation31245.543
Coefficient of variation (CV)0.0015483279
Kurtosis5.4299922
Mean20180185
Median Absolute Deviation (MAD)9607
Skewness-2.2396281
Sum2.1350636 × 1010
Variance9.7628397 × 108
MonotonicityNot monotonic
2024-04-18T05:15:24.154024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200201 9
 
0.6%
20200401 6
 
0.4%
20200301 6
 
0.4%
20191201 6
 
0.4%
20191125 5
 
0.3%
20200701 5
 
0.3%
20191027 5
 
0.3%
20181101 5
 
0.3%
20191101 5
 
0.3%
20200702 4
 
0.3%
Other values (737) 1002
65.7%
(Missing) 466
30.6%
ValueCountFrequency (%)
20021021 1
0.1%
20030415 1
0.1%
20030627 1
0.1%
20030812 1
0.1%
20031215 1
0.1%
20040420 1
0.1%
20040620 1
0.1%
20040913 1
0.1%
20050321 1
0.1%
20050418 1
0.1%
ValueCountFrequency (%)
20210105 1
0.1%
20210104 2
0.1%
20210101 2
0.1%
20201231 1
0.1%
20201226 1
0.1%
20201224 1
0.1%
20201223 1
0.1%
20201221 1
0.1%
20201218 1
0.1%
20201216 2
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct754
Distinct (%)71.3%
Missing466
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean20190380
Minimum20031021
Maximum20220404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:24.262115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20120827
Q120181218
median20201012
Q320210410
95-th percentile20211015
Maximum20220404
Range189383
Interquartile range (IQR)29192.75

Descriptive statistics

Standard deviation31018.918
Coefficient of variation (CV)0.0015363216
Kurtosis5.3131744
Mean20190380
Median Absolute Deviation (MAD)9603.5
Skewness-2.2191637
Sum2.1361422 × 1010
Variance9.6217325 × 108
MonotonicityNot monotonic
2024-04-18T05:15:24.375290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210131 9
 
0.6%
20201031 6
 
0.4%
20210331 6
 
0.4%
20210228 6
 
0.4%
20201130 6
 
0.4%
20210630 5
 
0.3%
20201211 5
 
0.3%
20200731 5
 
0.3%
20211031 5
 
0.3%
20210315 5
 
0.3%
Other values (744) 1000
65.6%
(Missing) 466
30.6%
ValueCountFrequency (%)
20031021 1
0.1%
20040414 1
0.1%
20040627 1
0.1%
20040812 1
0.1%
20050420 1
0.1%
20050620 1
0.1%
20050913 1
0.1%
20060321 1
0.1%
20060418 1
0.1%
20060720 1
0.1%
ValueCountFrequency (%)
20220404 1
 
0.1%
20220314 1
 
0.1%
20220124 1
 
0.1%
20220105 1
 
0.1%
20220104 1
 
0.1%
20220103 1
 
0.1%
20211231 3
0.2%
20211225 1
 
0.1%
20211223 1
 
0.1%
20211222 1
 
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)37.5%
Missing1196
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean221.28659
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:24.486052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median46
Q389
95-th percentile222.85
Maximum43511
Range43511
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2413.2866
Coefficient of variation (CV)10.905707
Kurtosis319.48963
Mean221.28659
Median Absolute Deviation (MAD)26
Skewness17.77437
Sum72582
Variance5823952.2
MonotonicityNot monotonic
2024-04-18T05:15:24.617566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 20
 
1.3%
0 19
 
1.2%
20 11
 
0.7%
40 10
 
0.7%
50 10
 
0.7%
30 9
 
0.6%
42 7
 
0.5%
39 6
 
0.4%
99 5
 
0.3%
66 5
 
0.3%
Other values (113) 226
 
14.8%
(Missing) 1196
78.5%
ValueCountFrequency (%)
0 19
1.2%
4 2
 
0.1%
7 3
 
0.2%
8 2
 
0.1%
9 1
 
0.1%
10 2
 
0.1%
12 3
 
0.2%
13 2
 
0.1%
15 5
 
0.3%
16 2
 
0.1%
ValueCountFrequency (%)
43511 1
0.1%
3921 1
0.1%
2808 1
0.1%
1023 1
0.1%
735 1
0.1%
373 1
0.1%
364 1
0.1%
332 1
0.1%
317 1
0.1%
287 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1524
Missing (%)100.0%
Memory size13.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국외여행업03_12_02_P3250000CDFI226002198900000219891229<NA>2휴업2휴업<NA>2019070120200630<NA>469-7731<NA>600815부산광역시 중구 중앙동4가 53-30번지 1층부산광역시 중구 중앙대로81번길 2 (중앙동4가,1층)<NA>(주)팔성국제관광20191125152411U2019-11-27 02:40:00.0<NA>385556.341486180343.213568국외여행업관광사업<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>2018110120191031<NA><NA><NA>
12국외여행업03_12_02_P3250000CDFI226002199700000419971024<NA>2휴업2휴업<NA>2020090520210304<NA>468-7555<NA>600100부산광역시 중구 대창동2가 11-7부산광역시 중구 중앙대로 151 (대창동2가)<NA>(주)남태평양관광20200831141601U2020-09-02 02:40:00.0<NA>385690.60408181000.887016국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019102620201026<NA><NA><NA>
23국외여행업03_12_02_P3250000CDFI226002201600001420161014<NA>2휴업2휴업<NA>2021010120210630<NA>070-7008-7788<NA><NA>부산광역시 중구 대창동1가 51부산광역시 중구 해관로 89, 10층 8호 (대창동1가, 중앙빌딩)48924PMP 투어20201224112002U2020-12-26 02:40:00.0<NA>385507.64053180548.792612국외여행업<NA>일반상업지역<NA><NA><NA>서울보증보험사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>58.0<NA><NA><NA><NA><NA><NA><NA><NA>300000002019103120201030<NA>58<NA>
34국외여행업03_12_02_P3250000CDFI226002201600000220160129<NA>2휴업2휴업<NA>2018010120181231<NA>051 7537300<NA><NA>부산광역시 중구 중앙동4가 31-1번지부산광역시 중구 중앙대로81번길 3 (중앙동4가)48929파초여행(주)20190516154900U2019-05-18 02:40:00.0<NA>385541.993353180309.073001국외여행업<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>1500000002019020220200201<NA><NA><NA>
45국외여행업03_12_02_P3250000CDFI226002201700001720170725<NA>2휴업2휴업<NA>2020082020210819<NA>070 47909088<NA><NA>부산광역시 중구 중앙동4가 23-1 1303호부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)48941수트래블20200820143650U2020-08-22 02:40:00.0<NA>385630.742187180306.821082국외여행업<NA><NA><NA><NA><NA>서울보증보험사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27.48<NA><NA><NA><NA><NA><NA><NA><NA>450000002019081620200815<NA>27<NA>
56국외여행업03_12_02_P3250000CDFI226002201800000820180425<NA>2휴업2휴업<NA>2020120120211130<NA>051-714-3570<NA><NA>부산광역시 중구 중앙동6가 20-29부산광역시 중구 중앙대로 37, 2층 (중앙동6가)48957데일리투어&골프20201216135319U2020-12-18 02:40:00.0<NA>385599.322545179877.201347국외여행업<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>300000002019110120201031<NA><NA><NA>
67국외여행업03_12_02_P3250000CDFI226002201400000520071116<NA>2휴업2휴업<NA>2019041520191015<NA>051-466-1314<NA>600014부산광역시 중구 중앙동4가 86-3번지부산광역시 중구 충장대로13번길 14, 다동 213호 (중앙동4가)48935투어월드여행사20190902145442U2019-09-04 02:40:00.0<NA>385769.574833180512.545626국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1009000002018111720191116<NA><NA><NA>
78국외여행업03_12_02_P3250000CDFI226002201900000320190227<NA>3폐업3폐업20191105<NA><NA><NA>051-719-1191<NA><NA>부산광역시 중구 중앙동4가 25-2번지부산광역시 중구 중앙대로 72, 505호 (중앙동4가)48941(주)루비골프앤투어20191105140627U2019-11-07 02:40:00.0<NA>385635.339978180238.223506국외여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002019030820200308<NA><NA><NA>
89국외여행업03_12_02_P3250000CDFI226002201900000420190423<NA>3폐업3폐업20190327<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 30-9번지부산광역시 중구 해관로 64, 401호 (중앙동4가)48929(주)유벨라트래블20200327172401U2020-03-29 02:40:00.0<NA>385539.972541180278.841231국외여행업<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>300000002019050120200430<NA><NA><NA>
910국외여행업03_12_02_P3250000CDFI226002200000001120001024<NA>3폐업3폐업20200318<NA><NA><NA>051-247-1122<NA><NA>부산광역시 중구 부평동2가 68-4번지부산광역시 중구 흑교로 18 (부평동2가)48977(주)뉴태평양여행사20200318155352U2020-03-20 02:40:00.0<NA>384598.903965179879.997495국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019062520200625<NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
15141515국외여행업03_12_02_P3330000CDFI226002202000000920190328<NA>1영업/정상13영업중<NA><NA><NA><NA>051-633-1161<NA><NA>부산광역시 해운대구 재송동 939-2 센텀이편한세상아파트 101동 2001호부산광역시 해운대구 해운대로76번길 55, 101동 2001호 (재송동, 센텀이편한세상아파트)48048(주)콜럼버스 코리아20201126095310I2020-11-28 00:23:08.0<NA>392799.149932189781.150493국외여행업<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>2019051420200513<NA><NA><NA>
15151516국외여행업03_12_02_P3330000CDFI226002199900000119990426<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>612824부산광역시 해운대구 우동 1434번지 선프라자 633부산광역시 해운대구 마린시티3로 1, 633호 (우동, 썬프라자)612725(주)대하여행사20111116172232I2018-08-31 23:59:59.0<NA>395615.201854186406.750871국외여행업관광사업<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><NA>
15161517국외여행업03_12_02_P3330000CDFI226002200300000120030114<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>051-740-5097<NA>612822부산광역시 해운대구 우동 760-3번지 오션타워 703부산광역시 해운대구 해운대해변로 203, 703호 (우동, 오션타워)612726(주)햇빛여행20111117144320I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국외여행업관광사업<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><NA>
15171518국외여행업03_12_02_P3330000CDFI226002201100000320110119201409124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>702-8677<NA>612031부산광역시 해운대구 좌동 1461-1번지 울트라타워 501-11호부산광역시 해운대구 좌동로 88, 501-11호 (좌동, 울트라타워)612031(주)여행마켓20141226124203I2018-08-31 23:59:59.0<NA>398074.12757188030.04337국외여행업<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>60000000<NA><NA><NA><NA><NA>
15181519국외여행업03_12_02_P3330000CDFI226002201200000520120404201601144취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612022부산광역시 해운대구 우동 1470번지 에이스하이테크21 410호부산광역시 해운대구 센텀중앙로 48, 4층 410호 (우동, 에이스하이테크21)48059(주) 제플린투어20160114114056I2018-08-31 23:59:59.0<NA>393963.840834188061.355163국외여행업<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>900000002014041020150409<NA><NA><NA>
15191520국외여행업03_12_02_P3330000CDFI226002201300000320130308201501284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612862부산광역시 해운대구 좌동 1432-4번지 르네상스오피스텔 304호부산광역시 해운대구 좌동순환로249번길 11, 304호 (좌동, 르네상스오피스텔)612862(주) 밀크투어20150325162640I2018-08-31 23:59:59.0<NA>398665.261088188263.875653국외여행업<NA><NA><NA><NA><NA>서울보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2013031520140314<NA><NA><NA>
15201521국외여행업03_12_02_P3330000CDFI226002200400000120040108201410074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612836부산광역시 해운대구 좌동 1460-4번지 쌍용플래티넘트윈102-201호부산광역시 해운대구 양운로 82, 102동 201호 (좌동, 쌍용플래티넘트윈)612836(주) 신나라 투어20141226115442I2018-08-31 23:59:59.0<NA>398133.960402187864.096706국외여행업관광사업일반상업지역<NA>기타<NA><NA>사무실71<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><NA>
15211522국외여행업03_12_02_P3330000CDFI226002200500000220050504201409124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-747-5116<NA>612851부산광역시 해운대구 중동 1774-5번지 로데오아울렛 210호부산광역시 해운대구 좌동순환로 473, 201호 (중동, 로데오아울렛)612851(주)비젼투어20141226115918I2018-08-31 23:59:59.0<NA>397589.4275187097.471409국외여행업관광사업<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><NA>
15221523국외여행업03_12_02_P3330000CDFI226002200900001020090525201410074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612726부산광역시 해운대구 우동 오션타워 718동부산광역시 해운대구 해운대해변로 203, 718호 (우동, 오션타워)612726(주)비케이트래블20141226115358I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국외여행업<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>100000000<NA><NA><NA><NA><NA>
15231524국외여행업03_12_02_P3330000CDFI226002200900000420090119<NA>4취소/말소/만료/정지/중지35직권말소20090119<NA><NA><NA>581-0090<NA>612851부산광역시 해운대구 중동 1774-5번지 로데오아울렛 2동 213호부산광역시 해운대구 좌동순환로 473, 2동 213호 (중동,로데오아울렛)<NA>(주)부산범한여행20090119164610I2018-08-31 23:59:59.0<NA>397589.4275187097.471409국외여행업관광사업<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>100000000<NA><NA><NA><NA><NA>