Overview

Dataset statistics

Number of variables64
Number of observations1241
Missing cells29098
Missing cells (%)36.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory675.2 KiB
Average record size in memory557.1 B

Variable types

Numeric21
Categorical23
Text6
Unsupported13
DateTime1

Dataset

Description2021-10-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123072

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태명 is highly imbalanced (51.9%)Imbalance
지역구분명 is highly imbalanced (68.5%)Imbalance
주변환경명 is highly imbalanced (73.2%)Imbalance
건물용도명 is highly imbalanced (71.7%)Imbalance
객실수 is highly imbalanced (71.4%)Imbalance
건축연면적 is highly imbalanced (71.4%)Imbalance
영문상호주소 is highly imbalanced (93.6%)Imbalance
선박총톤수 is highly imbalanced (71.4%)Imbalance
선박척수 is highly imbalanced (71.4%)Imbalance
무대면적 is highly imbalanced (71.4%)Imbalance
좌석수 is highly imbalanced (71.4%)Imbalance
회의실별동시수용인원 is highly imbalanced (71.4%)Imbalance
놀이시설수 is highly imbalanced (71.4%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.1%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.1%)Imbalance
인허가취소일자 has 1195 (96.3%) missing valuesMissing
폐업일자 has 635 (51.2%) missing valuesMissing
휴업시작일자 has 1235 (99.5%) missing valuesMissing
휴업종료일자 has 1235 (99.5%) missing valuesMissing
재개업일자 has 1241 (100.0%) missing valuesMissing
소재지전화 has 303 (24.4%) missing valuesMissing
소재지면적 has 1241 (100.0%) missing valuesMissing
소재지우편번호 has 573 (46.2%) missing valuesMissing
도로명전체주소 has 56 (4.5%) missing valuesMissing
도로명우편번호 has 400 (32.2%) missing valuesMissing
업태구분명 has 1241 (100.0%) missing valuesMissing
좌표정보(x) has 37 (3.0%) missing valuesMissing
좌표정보(y) has 37 (3.0%) missing valuesMissing
총층수 has 976 (78.6%) missing valuesMissing
제작취급품목내용 has 1241 (100.0%) missing valuesMissing
지상층수 has 955 (77.0%) missing valuesMissing
지하층수 has 1061 (85.5%) missing valuesMissing
영문상호명 has 1212 (97.7%) missing valuesMissing
선박제원 has 1241 (100.0%) missing valuesMissing
기념품종류 has 1241 (100.0%) missing valuesMissing
시설면적 has 897 (72.3%) missing valuesMissing
놀이기구수내역 has 1241 (100.0%) missing valuesMissing
방송시설유무 has 1241 (100.0%) missing valuesMissing
발전시설유무 has 1241 (100.0%) missing valuesMissing
의무실유무 has 1241 (100.0%) missing valuesMissing
안내소유무 has 1241 (100.0%) missing valuesMissing
자본금 has 422 (34.0%) missing valuesMissing
보험시작일자 has 420 (33.8%) missing valuesMissing
보험종료일자 has 419 (33.8%) missing valuesMissing
부대시설내역 has 1241 (100.0%) missing valuesMissing
시설규모 has 897 (72.3%) missing valuesMissing
Unnamed: 63 has 1241 (100.0%) missing valuesMissing
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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 68 (5.5%) zerosZeros
지상층수 has 65 (5.2%) zerosZeros
지하층수 has 84 (6.8%) zerosZeros
시설면적 has 62 (5.0%) zerosZeros
시설규모 has 62 (5.0%) zerosZeros

Reproduction

Analysis started2024-04-16 06:49:47.515897
Analysis finished2024-04-16 06:49:48.521534
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1241
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean621
Minimum1
Maximum1241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:48.577842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63
Q1311
median621
Q3931
95-th percentile1179
Maximum1241
Range1240
Interquartile range (IQR)620

Descriptive statistics

Standard deviation358.39015
Coefficient of variation (CV)0.57711779
Kurtosis-1.2
Mean621
Median Absolute Deviation (MAD)310
Skewness0
Sum770661
Variance128443.5
MonotonicityStrictly increasing
2024-04-16T15:49:48.690088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
826 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
829 1
 
0.1%
828 1
 
0.1%
827 1
 
0.1%
825 1
 
0.1%
Other values (1231) 1231
99.2%
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 (%)
1241 1
0.1%
1240 1
0.1%
1239 1
0.1%
1238 1
0.1%
1237 1
0.1%
1236 1
0.1%
1235 1
0.1%
1234 1
0.1%
1233 1
0.1%
1232 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
국내여행업
1241 

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 1241
100.0%

Length

2024-04-16T15:49:48.804869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:48.879884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1241
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
03_12_01_P
1241 

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 1241
100.0%

Length

2024-04-16T15:49:48.952094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:49.032275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 1241
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310217.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:49.110572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3300000
Q33340000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation41221.679
Coefficient of variation (CV)0.012452861
Kurtosis-0.85805568
Mean3310217.6
Median Absolute Deviation (MAD)30000
Skewness0.37697539
Sum4.10798 × 109
Variance1.6992268 × 109
MonotonicityNot monotonic
2024-04-16T15:49:49.209482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 265
21.4%
3250000 143
11.5%
3330000 138
11.1%
3270000 132
10.6%
3300000 100
 
8.1%
3370000 97
 
7.8%
3310000 71
 
5.7%
3350000 61
 
4.9%
3380000 59
 
4.8%
3340000 39
 
3.1%
Other values (6) 136
11.0%
ValueCountFrequency (%)
3250000 143
11.5%
3260000 13
 
1.0%
3270000 132
10.6%
3280000 20
 
1.6%
3290000 265
21.4%
3300000 100
 
8.1%
3310000 71
 
5.7%
3320000 35
 
2.8%
3330000 138
11.1%
3340000 39
 
3.1%
ValueCountFrequency (%)
3400000 14
 
1.1%
3390000 35
 
2.8%
3380000 59
4.8%
3370000 97
7.8%
3360000 19
 
1.5%
3350000 61
4.9%
3340000 39
 
3.1%
3330000 138
11.1%
3320000 35
 
2.8%
3310000 71
5.7%
Distinct356
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:49.369131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters24820
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

Unique111 ?
Unique (%)8.9%

Sample

1st rowCDFI2260012007000013
2nd rowCDFI2260012019000002
3rd rowCDFI2260012019000006
4th rowCDFI2260011997000006
5th rowCDFI2260011994000001
ValueCountFrequency (%)
cdfi2260012011000001 15
 
1.2%
cdfi2260012020000001 14
 
1.1%
cdfi2260012019000001 14
 
1.1%
cdfi2260012021000001 13
 
1.0%
cdfi2260012016000001 13
 
1.0%
cdfi2260012019000002 13
 
1.0%
cdfi2260012017000002 12
 
1.0%
cdfi2260012021000002 12
 
1.0%
cdfi2260012001000001 12
 
1.0%
cdfi2260012018000002 12
 
1.0%
Other values (346) 1111
89.5%
2024-04-16T15:49:49.627836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10203
41.1%
2 4046
 
16.3%
1 2562
 
10.3%
6 1472
 
5.9%
C 1241
 
5.0%
D 1241
 
5.0%
F 1241
 
5.0%
I 1241
 
5.0%
9 434
 
1.7%
4 246
 
1.0%
Other values (4) 893
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19856
80.0%
Uppercase Letter 4964
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10203
51.4%
2 4046
 
20.4%
1 2562
 
12.9%
6 1472
 
7.4%
9 434
 
2.2%
4 246
 
1.2%
5 243
 
1.2%
3 241
 
1.2%
7 232
 
1.2%
8 177
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1241
25.0%
D 1241
25.0%
F 1241
25.0%
I 1241
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19856
80.0%
Latin 4964
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10203
51.4%
2 4046
 
20.4%
1 2562
 
12.9%
6 1472
 
7.4%
9 434
 
2.2%
4 246
 
1.2%
5 243
 
1.2%
3 241
 
1.2%
7 232
 
1.2%
8 177
 
0.9%
Latin
ValueCountFrequency (%)
C 1241
25.0%
D 1241
25.0%
F 1241
25.0%
I 1241
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10203
41.1%
2 4046
 
16.3%
1 2562
 
10.3%
6 1472
 
5.9%
C 1241
 
5.0%
D 1241
 
5.0%
F 1241
 
5.0%
I 1241
 
5.0%
9 434
 
1.7%
4 246
 
1.0%
Other values (4) 893
 
3.6%

인허가일자
Real number (ℝ)

Distinct1095
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20095485
Minimum19840924
Maximum20210812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:49.743552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840924
5-th percentile19970421
Q120041215
median20101126
Q320151202
95-th percentile20200214
Maximum20210812
Range369888
Interquartile range (IQR)109987

Descriptive statistics

Standard deviation72287.474
Coefficient of variation (CV)0.0035971998
Kurtosis-0.46848126
Mean20095485
Median Absolute Deviation (MAD)50901
Skewness-0.46735599
Sum2.4938496 × 1010
Variance5.2254789 × 109
MonotonicityNot monotonic
2024-04-16T15:49:49.860399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051123 4
 
0.3%
20190328 4
 
0.3%
20151006 3
 
0.2%
20180628 3
 
0.2%
20060508 3
 
0.2%
20000323 3
 
0.2%
20160831 3
 
0.2%
20120402 3
 
0.2%
20110310 3
 
0.2%
20180626 3
 
0.2%
Other values (1085) 1209
97.4%
ValueCountFrequency (%)
19840924 1
0.1%
19861025 1
0.1%
19890220 1
0.1%
19890710 1
0.1%
19900313 1
0.1%
19900802 1
0.1%
19910325 1
0.1%
19910423 1
0.1%
19910918 1
0.1%
19911001 1
0.1%
ValueCountFrequency (%)
20210812 1
0.1%
20210804 2
0.2%
20210727 1
0.1%
20210719 1
0.1%
20210707 1
0.1%
20210625 2
0.2%
20210616 1
0.1%
20210609 1
0.1%
20210608 1
0.1%
20210603 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing1195
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean20142395
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:49.968626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030822
5-th percentile20061065
Q120110712
median20160576
Q320171224
95-th percentile20190515
Maximum20200226
Range169404
Interquartile range (IQR)60512

Descriptive statistics

Standard deviation46665.128
Coefficient of variation (CV)0.0023167616
Kurtosis-0.44030539
Mean20142395
Median Absolute Deviation (MAD)24991
Skewness-0.83392341
Sum9.2655018 × 108
Variance2.1776342 × 109
MonotonicityNot monotonic
2024-04-16T15:49:50.071505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20190305 3
 
0.2%
20190515 2
 
0.2%
20141007 2
 
0.2%
20170424 2
 
0.2%
20170705 2
 
0.2%
20070123 1
 
0.1%
20080813 1
 
0.1%
20040902 1
 
0.1%
20030822 1
 
0.1%
20151117 1
 
0.1%
Other values (30) 30
 
2.4%
(Missing) 1195
96.3%
ValueCountFrequency (%)
20030822 1
0.1%
20040902 1
0.1%
20061011 1
0.1%
20061228 1
0.1%
20070123 1
0.1%
20070510 1
0.1%
20080509 1
0.1%
20080813 1
0.1%
20090724 1
0.1%
20091007 1
0.1%
ValueCountFrequency (%)
20200226 1
 
0.1%
20200224 1
 
0.1%
20190515 2
0.2%
20190305 3
0.2%
20190213 1
 
0.1%
20180921 1
 
0.1%
20180917 1
 
0.1%
20180530 1
 
0.1%
20171229 1
 
0.1%
20171211 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
3
602 
1
567 
4
66 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 602
48.5%
1 567
45.7%
4 66
 
5.3%
2 6
 
0.5%

Length

2024-04-16T15:49:50.173141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:50.255276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 602
48.5%
1 567
45.7%
4 66
 
5.3%
2 6
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
폐업
602 
영업/정상
567 
취소/말소/만료/정지/중지
66 
휴업
 
6

Length

Max length14
Median length5
Mean length4.0088638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 602
48.5%
영업/정상 567
45.7%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 6
 
0.5%

Length

2024-04-16T15:49:50.348298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:50.428096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 602
48.5%
영업/정상 567
45.7%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 6
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0588235
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:50.497835image/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 deviation7.1495943
Coefficient of variation (CV)0.78924093
Kurtosis2.2246343
Mean9.0588235
Median Absolute Deviation (MAD)10
Skewness1.3544006
Sum11242
Variance51.116698
MonotonicityNot monotonic
2024-04-16T15:49:50.573784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 602
48.5%
13 567
45.7%
31 45
 
3.6%
30 15
 
1.2%
2 6
 
0.5%
35 5
 
0.4%
33 1
 
0.1%
ValueCountFrequency (%)
2 6
 
0.5%
3 602
48.5%
13 567
45.7%
30 15
 
1.2%
31 45
 
3.6%
33 1
 
0.1%
35 5
 
0.4%
ValueCountFrequency (%)
35 5
 
0.4%
33 1
 
0.1%
31 45
 
3.6%
30 15
 
1.2%
13 567
45.7%
3 602
48.5%
2 6
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
폐업
602 
영업중
567 
등록취소
 
45
허가취소
 
15
휴업
 
6
Other values (2)
 
6

Length

Max length4
Median length3
Mean length2.5632554
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 602
48.5%
영업중 567
45.7%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 6
 
0.5%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

Length

2024-04-16T15:49:50.680453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:50.786796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 602
48.5%
영업중 567
45.7%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 6
 
0.5%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct545
Distinct (%)89.9%
Missing635
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean20116488
Minimum19971211
Maximum20210813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:50.900540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971211
5-th percentile20010574
Q120070308
median20120810
Q320170723
95-th percentile20200811
Maximum20210813
Range239602
Interquartile range (IQR)100415.25

Descriptive statistics

Standard deviation60897.842
Coefficient of variation (CV)0.0030272601
Kurtosis-1.0418642
Mean20116488
Median Absolute Deviation (MAD)50252
Skewness-0.26027353
Sum1.2190592 × 1010
Variance3.7085472 × 109
MonotonicityNot monotonic
2024-04-16T15:49:51.004437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 9
 
0.7%
20001129 5
 
0.4%
20150723 3
 
0.2%
20190630 3
 
0.2%
20190709 3
 
0.2%
20200825 2
 
0.2%
20140526 2
 
0.2%
20060119 2
 
0.2%
20181126 2
 
0.2%
20120607 2
 
0.2%
Other values (535) 573
46.2%
(Missing) 635
51.2%
ValueCountFrequency (%)
19971211 1
 
0.1%
19990403 1
 
0.1%
19990408 1
 
0.1%
19990524 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991104 1
 
0.1%
20000111 9
0.7%
20000128 1
 
0.1%
20000229 1
 
0.1%
ValueCountFrequency (%)
20210813 1
0.1%
20210604 1
0.1%
20210524 1
0.1%
20210405 1
0.1%
20210331 1
0.1%
20210305 1
0.1%
20210216 1
0.1%
20210203 1
0.1%
20210201 1
0.1%
20210127 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing1235
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20180656
Minimum20130510
Maximum20210819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:51.099114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130510
5-th percentile20130608
Q120148277
median20200801
Q320207876
95-th percentile20210640
Maximum20210819
Range80309
Interquartile range (IQR)59599.25

Descriptive statistics

Standard deviation38932.913
Coefficient of variation (CV)0.0019292194
Kurtosis-1.8747493
Mean20180656
Median Absolute Deviation (MAD)9659
Skewness-0.9146054
Sum1.2108393 × 108
Variance1.5157717 × 109
MonotonicityNot monotonic
2024-04-16T15:49:51.185730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210101 1
 
0.1%
20210819 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130510 1
 
0.1%
20130902 1
 
0.1%
(Missing) 1235
99.5%
ValueCountFrequency (%)
20130510 1
0.1%
20130902 1
0.1%
20200401 1
0.1%
20201201 1
0.1%
20210101 1
0.1%
20210819 1
0.1%
ValueCountFrequency (%)
20210819 1
0.1%
20210101 1
0.1%
20201201 1
0.1%
20200401 1
0.1%
20130902 1
0.1%
20130510 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing1235
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean20189222
Minimum20140509
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:51.277053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140509
5-th percentile20140608
Q120158410
median20211030
Q320211206
95-th percentile20218280
Maximum20220630
Range80121
Interquartile range (IQR)52795.25

Descriptive statistics

Standard deviation37761.467
Coefficient of variation (CV)0.0018703775
Kurtosis-1.8633419
Mean20189222
Median Absolute Deviation (MAD)4900.5
Skewness-0.92496964
Sum1.2113533 × 108
Variance1.4259284 × 109
MonotonicityNot monotonic
2024-04-16T15:49:51.366039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20211231 1
 
0.1%
20220630 1
 
0.1%
20211130 1
 
0.1%
20210930 1
 
0.1%
20140509 1
 
0.1%
20140904 1
 
0.1%
(Missing) 1235
99.5%
ValueCountFrequency (%)
20140509 1
0.1%
20140904 1
0.1%
20210930 1
0.1%
20211130 1
0.1%
20211231 1
0.1%
20220630 1
0.1%
ValueCountFrequency (%)
20220630 1
0.1%
20211231 1
0.1%
20211130 1
0.1%
20210930 1
0.1%
20140904 1
0.1%
20140509 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

소재지전화
Text

MISSING 

Distinct906
Distinct (%)96.6%
Missing303
Missing (%)24.4%
Memory size9.8 KiB
2024-04-16T15:49:51.608896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.647122
Min length1

Characters and Unicode

Total characters9987
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique878 ?
Unique (%)93.6%

Sample

1st row469-7731
2nd row051241 0909
3rd row051-464-6464
4th row254-4061
5th row246-1003
ValueCountFrequency (%)
051 30
 
3.0%
5
 
0.5%
740-6353 3
 
0.3%
051-242-7660 2
 
0.2%
261 2
 
0.2%
051-612-7788 2
 
0.2%
808-2211 2
 
0.2%
051-817-3060 2
 
0.2%
051-743-1159 2
 
0.2%
868-3131 2
 
0.2%
Other values (922) 943
94.8%
2024-04-16T15:49:51.920443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1578
15.8%
- 1437
14.4%
1 1338
13.4%
5 1307
13.1%
6 739
7.4%
8 716
7.2%
4 672
6.7%
2 630
 
6.3%
7 612
 
6.1%
3 490
 
4.9%
Other values (6) 468
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8464
84.8%
Dash Punctuation 1437
 
14.4%
Space Separator 57
 
0.6%
Close Punctuation 16
 
0.2%
Other Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1578
18.6%
1 1338
15.8%
5 1307
15.4%
6 739
8.7%
8 716
8.5%
4 672
7.9%
2 630
 
7.4%
7 612
 
7.2%
3 490
 
5.8%
9 382
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 1437
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9987
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1578
15.8%
- 1437
14.4%
1 1338
13.4%
5 1307
13.1%
6 739
7.4%
8 716
7.2%
4 672
6.7%
2 630
 
6.3%
7 612
 
6.1%
3 490
 
4.9%
Other values (6) 468
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9987
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1578
15.8%
- 1437
14.4%
1 1338
13.4%
5 1307
13.1%
6 739
7.4%
8 716
7.2%
4 672
6.7%
2 630
 
6.3%
7 612
 
6.1%
3 490
 
4.9%
Other values (6) 468
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct309
Distinct (%)46.3%
Missing573
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean609794.03
Minimum600011
Maximum701814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:52.047394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600100
Q1602828
median611802
Q3614822.25
95-th percentile616852
Maximum701814
Range101803
Interquartile range (IQR)11994.25

Descriptive statistics

Standard deviation7784.5688
Coefficient of variation (CV)0.012765899
Kurtosis49.280707
Mean609794.03
Median Absolute Deviation (MAD)3058.5
Skewness4.6281746
Sum4.0734241 × 108
Variance60599511
MonotonicityNot monotonic
2024-04-16T15:49:52.360900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600815 17
 
1.4%
614854 16
 
1.3%
614844 11
 
0.9%
614849 11
 
0.9%
601839 10
 
0.8%
612824 10
 
0.8%
607827 10
 
0.8%
614828 9
 
0.7%
601715 9
 
0.7%
600100 8
 
0.6%
Other values (299) 557
44.9%
(Missing) 573
46.2%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 2
 
0.2%
600013 4
0.3%
600014 6
0.5%
600015 2
 
0.2%
600016 3
0.2%
600022 3
0.2%
600023 1
 
0.1%
600031 1
 
0.1%
600032 1
 
0.1%
ValueCountFrequency (%)
701814 1
0.1%
682818 1
0.1%
680828 1
0.1%
619952 1
0.1%
619906 1
0.1%
619905 1
0.1%
619903 1
0.1%
618814 1
0.1%
618708 1
0.1%
618200 1
0.1%
Distinct1164
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:52.627152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length25.916197
Min length12

Characters and Unicode

Total characters32162
Distinct characters384
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

Unique1110 ?
Unique (%)89.4%

Sample

1st row부산광역시 중구 중앙동4가 53-30
2nd row부산광역시 중구 남포동4가 44-3번지
3rd row부산광역시 중구 중앙동4가 15-3번지
4th row부산광역시 중구 남포동5가 39-6번지
5th row부산광역시 중구 남포동6가 113-1번지
ValueCountFrequency (%)
부산광역시 1238
 
20.0%
부산진구 265
 
4.3%
중구 143
 
2.3%
해운대구 138
 
2.2%
동구 133
 
2.2%
동래구 101
 
1.6%
연제구 97
 
1.6%
초량동 93
 
1.5%
부전동 92
 
1.5%
남구 70
 
1.1%
Other values (1784) 3815
61.7%
2024-04-16T15:49:53.031196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4944
 
15.4%
1673
 
5.2%
1627
 
5.1%
1 1616
 
5.0%
1587
 
4.9%
1281
 
4.0%
1273
 
4.0%
1255
 
3.9%
1247
 
3.9%
- 1094
 
3.4%
Other values (374) 14565
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18852
58.6%
Decimal Number 6904
 
21.5%
Space Separator 4944
 
15.4%
Dash Punctuation 1094
 
3.4%
Lowercase Letter 168
 
0.5%
Uppercase Letter 156
 
0.5%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1673
 
8.9%
1627
 
8.6%
1587
 
8.4%
1281
 
6.8%
1273
 
6.8%
1255
 
6.7%
1247
 
6.6%
731
 
3.9%
692
 
3.7%
374
 
2.0%
Other values (320) 7112
37.7%
Uppercase Letter
ValueCountFrequency (%)
S 36
23.1%
T 21
13.5%
C 15
9.6%
K 13
 
8.3%
A 11
 
7.1%
B 11
 
7.1%
E 7
 
4.5%
O 6
 
3.8%
I 6
 
3.8%
H 5
 
3.2%
Other values (10) 25
16.0%
Lowercase Letter
ValueCountFrequency (%)
e 36
21.4%
o 23
13.7%
l 13
 
7.7%
p 12
 
7.1%
i 12
 
7.1%
a 11
 
6.5%
d 11
 
6.5%
w 11
 
6.5%
n 11
 
6.5%
m 11
 
6.5%
Other values (7) 17
10.1%
Decimal Number
ValueCountFrequency (%)
1 1616
23.4%
2 959
13.9%
3 755
10.9%
4 683
9.9%
0 647
9.4%
5 508
 
7.4%
7 481
 
7.0%
8 470
 
6.8%
6 453
 
6.6%
9 332
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 4
33.3%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1094
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18852
58.6%
Common 12986
40.4%
Latin 324
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1673
 
8.9%
1627
 
8.6%
1587
 
8.4%
1281
 
6.8%
1273
 
6.8%
1255
 
6.7%
1247
 
6.6%
731
 
3.9%
692
 
3.7%
374
 
2.0%
Other values (320) 7112
37.7%
Latin
ValueCountFrequency (%)
S 36
 
11.1%
e 36
 
11.1%
o 23
 
7.1%
T 21
 
6.5%
C 15
 
4.6%
l 13
 
4.0%
K 13
 
4.0%
p 12
 
3.7%
i 12
 
3.7%
A 11
 
3.4%
Other values (27) 132
40.7%
Common
ValueCountFrequency (%)
4944
38.1%
1 1616
 
12.4%
- 1094
 
8.4%
2 959
 
7.4%
3 755
 
5.8%
4 683
 
5.3%
0 647
 
5.0%
5 508
 
3.9%
7 481
 
3.7%
8 470
 
3.6%
Other values (7) 829
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18852
58.6%
ASCII 13310
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4944
37.1%
1 1616
 
12.1%
- 1094
 
8.2%
2 959
 
7.2%
3 755
 
5.7%
4 683
 
5.1%
0 647
 
4.9%
5 508
 
3.8%
7 481
 
3.6%
8 470
 
3.5%
Other values (44) 1153
 
8.7%
Hangul
ValueCountFrequency (%)
1673
 
8.9%
1627
 
8.6%
1587
 
8.4%
1281
 
6.8%
1273
 
6.8%
1255
 
6.7%
1247
 
6.6%
731
 
3.9%
692
 
3.7%
374
 
2.0%
Other values (320) 7112
37.7%

도로명전체주소
Text

MISSING 

Distinct1144
Distinct (%)96.5%
Missing56
Missing (%)4.5%
Memory size9.8 KiB
2024-04-16T15:49:53.299968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.501266
Min length21

Characters and Unicode

Total characters39699
Distinct characters420
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

Unique1110 ?
Unique (%)93.7%

Sample

1st row부산광역시 중구 중앙대로81번길 2 (중앙동4가)
2nd row부산광역시 중구 자갈치해안로 60 (남포동4가)
3rd row부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)
4th row부산광역시 중구 중구로 2 (남포동5가)
5th row부산광역시 중구 구덕로 87-1 (남포동6가)
ValueCountFrequency (%)
부산광역시 1183
 
15.8%
부산진구 248
 
3.3%
중앙대로 172
 
2.3%
중구 141
 
1.9%
해운대구 136
 
1.8%
2층 124
 
1.7%
동구 118
 
1.6%
동래구 98
 
1.3%
연제구 97
 
1.3%
부전동 68
 
0.9%
Other values (1842) 5081
68.1%
2024-04-16T15:49:53.683348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6553
 
16.5%
1647
 
4.1%
1628
 
4.1%
1568
 
3.9%
1 1418
 
3.6%
1275
 
3.2%
1244
 
3.1%
, 1233
 
3.1%
1216
 
3.1%
1191
 
3.0%
Other values (410) 20726
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22799
57.4%
Space Separator 6553
 
16.5%
Decimal Number 6235
 
15.7%
Other Punctuation 1239
 
3.1%
Open Punctuation 1182
 
3.0%
Close Punctuation 1182
 
3.0%
Dash Punctuation 176
 
0.4%
Lowercase Letter 169
 
0.4%
Uppercase Letter 162
 
0.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1647
 
7.2%
1628
 
7.1%
1568
 
6.9%
1275
 
5.6%
1244
 
5.5%
1216
 
5.3%
1191
 
5.2%
1189
 
5.2%
805
 
3.5%
549
 
2.4%
Other values (356) 10487
46.0%
Uppercase Letter
ValueCountFrequency (%)
S 36
22.2%
T 19
11.7%
C 17
10.5%
K 14
 
8.6%
B 13
 
8.0%
A 13
 
8.0%
E 8
 
4.9%
I 6
 
3.7%
H 6
 
3.7%
O 5
 
3.1%
Other values (10) 25
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 37
21.9%
o 23
13.6%
l 13
 
7.7%
i 12
 
7.1%
p 12
 
7.1%
x 11
 
6.5%
w 11
 
6.5%
n 11
 
6.5%
d 11
 
6.5%
m 11
 
6.5%
Other values (7) 17
10.1%
Decimal Number
ValueCountFrequency (%)
1 1418
22.7%
2 975
15.6%
3 773
12.4%
0 690
11.1%
4 515
 
8.3%
5 458
 
7.3%
6 408
 
6.5%
7 360
 
5.8%
8 328
 
5.3%
9 310
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1233
99.5%
/ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6553
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22799
57.4%
Common 16569
41.7%
Latin 331
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1647
 
7.2%
1628
 
7.1%
1568
 
6.9%
1275
 
5.6%
1244
 
5.5%
1216
 
5.3%
1191
 
5.2%
1189
 
5.2%
805
 
3.5%
549
 
2.4%
Other values (356) 10487
46.0%
Latin
ValueCountFrequency (%)
e 37
 
11.2%
S 36
 
10.9%
o 23
 
6.9%
T 19
 
5.7%
C 17
 
5.1%
K 14
 
4.2%
B 13
 
3.9%
l 13
 
3.9%
A 13
 
3.9%
i 12
 
3.6%
Other values (27) 134
40.5%
Common
ValueCountFrequency (%)
6553
39.5%
1 1418
 
8.6%
, 1233
 
7.4%
( 1182
 
7.1%
) 1182
 
7.1%
2 975
 
5.9%
3 773
 
4.7%
0 690
 
4.2%
4 515
 
3.1%
5 458
 
2.8%
Other values (7) 1590
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22799
57.4%
ASCII 16900
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6553
38.8%
1 1418
 
8.4%
, 1233
 
7.3%
( 1182
 
7.0%
) 1182
 
7.0%
2 975
 
5.8%
3 773
 
4.6%
0 690
 
4.1%
4 515
 
3.0%
5 458
 
2.7%
Other values (44) 1921
 
11.4%
Hangul
ValueCountFrequency (%)
1647
 
7.2%
1628
 
7.1%
1568
 
6.9%
1275
 
5.6%
1244
 
5.5%
1216
 
5.3%
1191
 
5.2%
1189
 
5.2%
805
 
3.5%
549
 
2.4%
Other values (356) 10487
46.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct473
Distinct (%)56.2%
Missing400
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean102821.28
Minimum46015
Maximum618142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:53.797765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46298
Q147257
median48092
Q348822
95-th percentile612051
Maximum618142
Range572127
Interquartile range (IQR)1565

Descriptive statistics

Standard deviation167234.57
Coefficient of variation (CV)1.6264587
Kurtosis5.4061211
Mean102821.28
Median Absolute Deviation (MAD)832
Skewness2.7188369
Sum86472697
Variance2.7967401 × 1010
MonotonicityNot monotonic
2024-04-16T15:49:53.904731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47216 18
 
1.5%
49037 11
 
0.9%
48924 10
 
0.8%
47246 10
 
0.8%
48059 9
 
0.7%
47257 9
 
0.7%
48092 9
 
0.7%
48508 8
 
0.6%
48733 8
 
0.6%
47541 8
 
0.6%
Other values (463) 741
59.7%
(Missing) 400
32.2%
ValueCountFrequency (%)
46015 3
0.2%
46022 1
 
0.1%
46024 2
0.2%
46056 1
 
0.1%
46063 1
 
0.1%
46070 1
 
0.1%
46072 1
 
0.1%
46073 1
 
0.1%
46080 1
 
0.1%
46213 1
 
0.1%
ValueCountFrequency (%)
618142 1
0.1%
617825 1
0.1%
617816 1
0.1%
617814 1
0.1%
617809 2
0.2%
617807 1
0.1%
617802 1
0.1%
617723 1
0.1%
616852 1
0.1%
616829 1
0.1%
Distinct1195
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:54.135686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1321515
Min length2

Characters and Unicode

Total characters10092
Distinct characters486
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1153 ?
Unique (%)92.9%

Sample

1st row(주)팔성국제관광
2nd row부산남항유람선 자갈치크루즈
3rd row(주)마린크루즈
4th row(주)초이스관광여행사
5th row(주)미래투어
ValueCountFrequency (%)
주식회사 88
 
5.9%
여행사 29
 
2.0%
투어 16
 
1.1%
15
 
1.0%
여행 6
 
0.4%
tour 6
 
0.4%
부산투어 5
 
0.3%
협동조합 5
 
0.3%
선경항공여행사 3
 
0.2%
주)환태평양고속관광 3
 
0.2%
Other values (1250) 1309
88.1%
2024-04-16T15:49:54.478274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
864
 
8.6%
) 769
 
7.6%
( 769
 
7.6%
507
 
5.0%
505
 
5.0%
500
 
5.0%
411
 
4.1%
404
 
4.0%
244
 
2.4%
179
 
1.8%
Other values (476) 4940
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8120
80.5%
Close Punctuation 769
 
7.6%
Open Punctuation 769
 
7.6%
Space Separator 244
 
2.4%
Uppercase Letter 115
 
1.1%
Lowercase Letter 34
 
0.3%
Other Punctuation 18
 
0.2%
Decimal Number 15
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
864
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
411
 
5.1%
404
 
5.0%
179
 
2.2%
175
 
2.2%
170
 
2.1%
168
 
2.1%
Other values (423) 4237
52.2%
Uppercase Letter
ValueCountFrequency (%)
T 23
20.0%
O 13
11.3%
B 7
 
6.1%
L 6
 
5.2%
H 6
 
5.2%
W 6
 
5.2%
R 6
 
5.2%
U 6
 
5.2%
E 5
 
4.3%
G 5
 
4.3%
Other values (11) 32
27.8%
Lowercase Letter
ValueCountFrequency (%)
r 6
17.6%
o 5
14.7%
t 3
8.8%
u 3
8.8%
s 2
 
5.9%
a 2
 
5.9%
e 2
 
5.9%
i 2
 
5.9%
l 1
 
2.9%
b 1
 
2.9%
Other values (7) 7
20.6%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
, 2
 
11.1%
: 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
2 5
33.3%
8 2
 
13.3%
0 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
1
50.0%
> 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 769
100.0%
Open Punctuation
ValueCountFrequency (%)
( 769
100.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8121
80.5%
Common 1822
 
18.1%
Latin 149
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
864
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
411
 
5.1%
404
 
5.0%
179
 
2.2%
175
 
2.2%
170
 
2.1%
168
 
2.1%
Other values (424) 4238
52.2%
Latin
ValueCountFrequency (%)
T 23
 
15.4%
O 13
 
8.7%
B 7
 
4.7%
L 6
 
4.0%
H 6
 
4.0%
W 6
 
4.0%
R 6
 
4.0%
U 6
 
4.0%
r 6
 
4.0%
E 5
 
3.4%
Other values (28) 65
43.6%
Common
ValueCountFrequency (%)
) 769
42.2%
( 769
42.2%
244
 
13.4%
. 10
 
0.5%
1 7
 
0.4%
2 5
 
0.3%
- 5
 
0.3%
& 5
 
0.3%
8 2
 
0.1%
, 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8116
80.4%
ASCII 1970
 
19.5%
Compat Jamo 4
 
< 0.1%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
864
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
411
 
5.1%
404
 
5.0%
179
 
2.2%
175
 
2.2%
170
 
2.1%
168
 
2.1%
Other values (420) 4233
52.2%
ASCII
ValueCountFrequency (%)
) 769
39.0%
( 769
39.0%
244
 
12.4%
T 23
 
1.2%
O 13
 
0.7%
. 10
 
0.5%
1 7
 
0.4%
B 7
 
0.4%
L 6
 
0.3%
H 6
 
0.3%
Other values (41) 116
 
5.9%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Arrows
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1211
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160713 × 1013
Minimum2.0021018 × 1013
Maximum2.0210827 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:54.595087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040614 × 1013
Q12.0120713 × 1013
median2.0190724 × 1013
Q32.0210209 × 1013
95-th percentile2.0210714 × 1013
Maximum2.0210827 × 1013
Range1.8980904 × 1011
Interquartile range (IQR)8.9495931 × 1010

Descriptive statistics

Standard deviation5.797286 × 1010
Coefficient of variation (CV)0.0028755362
Kurtosis-0.45032512
Mean2.0160713 × 1013
Median Absolute Deviation (MAD)1.9877078 × 1010
Skewness-0.96653928
Sum2.5019445 × 1016
Variance3.3608525 × 1021
MonotonicityNot monotonic
2024-04-16T15:49:54.708135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161421 17
 
1.4%
20030127161348 15
 
1.2%
20210311140247 1
 
0.1%
20210224125818 1
 
0.1%
20210218170507 1
 
0.1%
20210224174814 1
 
0.1%
20210324093655 1
 
0.1%
20201209105913 1
 
0.1%
20210224125616 1
 
0.1%
20210218170340 1
 
0.1%
Other values (1201) 1201
96.8%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165012 1
 
0.1%
20030127161348 15
1.2%
20030127161421 17
1.4%
20030203150601 1
 
0.1%
20030312172512 1
 
0.1%
20030410112657 1
 
0.1%
20030422140401 1
 
0.1%
20030423092346 1
 
0.1%
20030516111251 1
 
0.1%
ValueCountFrequency (%)
20210827172151 1
0.1%
20210827125852 1
0.1%
20210825172902 1
0.1%
20210824140622 1
0.1%
20210820151324 1
0.1%
20210820150651 1
0.1%
20210820144853 1
0.1%
20210820144732 1
0.1%
20210820144152 1
0.1%
20210820143136 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
U
642 
I
599 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 642
51.7%
I 599
48.3%

Length

2024-04-16T15:49:54.809961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:54.895099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 642
51.7%
i 599
48.3%
Distinct349
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-29 02:40:00
2024-04-16T15:49:54.998566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:49:55.100692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct882
Distinct (%)73.3%
Missing37
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean388398.63
Minimum345960.71
Maximum419502.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:55.237317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345960.71
5-th percentile380497.53
Q1385754.48
median388069.3
Q3390402.96
95-th percentile396962.54
Maximum419502.8
Range73542.098
Interquartile range (IQR)4648.4836

Descriptive statistics

Standard deviation4699.2363
Coefficient of variation (CV)0.012099003
Kurtosis7.6236342
Mean388398.63
Median Absolute Deviation (MAD)2314.8258
Skewness-0.25722023
Sum4.6763195 × 108
Variance22082822
MonotonicityNot monotonic
2024-04-16T15:49:55.366863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 16
 
1.3%
387225.613588405 13
 
1.0%
385754.477258744 11
 
0.9%
385507.640529964 11
 
0.9%
386093.674147239 10
 
0.8%
388922.806889486 8
 
0.6%
396180.621244719 7
 
0.6%
385502.492319657 7
 
0.6%
396962.538162221 6
 
0.5%
387052.317362645 6
 
0.5%
Other values (872) 1109
89.4%
(Missing) 37
 
3.0%
ValueCountFrequency (%)
345960.705739 1
0.1%
371478.346756395 1
0.1%
373016.981172454 1
0.1%
373099.680011291 1
0.1%
373506.567424228 1
0.1%
374028.336209222 1
0.1%
374032.128682044 1
0.1%
374333.199064 1
0.1%
374846.363500608 2
0.2%
374874.044714515 1
0.1%
ValueCountFrequency (%)
419502.803661768 1
0.1%
407681.822826568 1
0.1%
402013.567273627 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401654.448837686 1
0.1%
401510.613962736 1
0.1%
401502.415893064 1
0.1%
401448.811664877 1
0.1%
400815.753437419 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct882
Distinct (%)73.3%
Missing37
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean186456.54
Minimum174307.15
Maximum265785.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:55.477165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179644.67
Q1182394.06
median186439.66
Q3189180.05
95-th percentile194713.4
Maximum265785.6
Range91478.456
Interquartile range (IQR)6785.9914

Descriptive statistics

Standard deviation5334.1313
Coefficient of variation (CV)0.028607906
Kurtosis42.604575
Mean186456.54
Median Absolute Deviation (MAD)3197.4295
Skewness3.3424906
Sum2.2449367 × 108
Variance28452956
MonotonicityNot monotonic
2024-04-16T15:49:55.583544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 16
 
1.3%
186408.726533861 13
 
1.0%
179113.980448494 11
 
0.9%
180548.792611588 11
 
0.9%
182068.358104572 10
 
0.8%
188106.837170815 8
 
0.6%
186522.35047527 7
 
0.6%
180297.579330876 7
 
0.6%
186759.94170898 6
 
0.5%
186253.143814124 6
 
0.5%
Other values (872) 1109
89.4%
(Missing) 37
 
3.0%
ValueCountFrequency (%)
174307.148168245 1
0.1%
174856.056137804 1
0.1%
175087.296427656 2
0.2%
176115.246760367 1
0.1%
176897.907425952 1
0.1%
177354.376036871 1
0.1%
177441.748341131 1
0.1%
177442.817428718 1
0.1%
177527.376138393 1
0.1%
177532.283470077 2
0.2%
ValueCountFrequency (%)
265785.603884 1
0.1%
226490.138380339 1
0.1%
205732.231316224 1
0.1%
204739.778227028 1
0.1%
204665.784677421 1
0.1%
204621.655738547 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
204186.113952008 1
0.1%
199051.512822937 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
국내여행업
1241 

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 1241
100.0%

Length

2024-04-16T15:49:55.678723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:55.750017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1241
100.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
708 
관광사업
533 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 708
57.1%
관광사업 533
42.9%

Length

2024-04-16T15:49:55.823359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:55.898026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 708
57.1%
관광사업 533
42.9%

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1015 
일반주거지역
 
62
일반상업지역
 
41
상업지역
 
34
근린상업지역
 
31
Other values (9)
 
58

Length

Max length6
Median length4
Mean length4.2554392
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1015
81.8%
일반주거지역 62
 
5.0%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.3%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-04-16T15:49:55.986543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1015
81.8%
일반주거지역 62
 
5.0%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.3%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)9.4%
Missing976
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean4.5433962
Minimum0
Maximum54
Zeros68
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:56.092996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile12.8
Maximum54
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.9237599
Coefficient of variation (CV)1.5239172
Kurtosis20.572342
Mean4.5433962
Median Absolute Deviation (MAD)2
Skewness4.0180303
Sum1204
Variance47.938451
MonotonicityNot monotonic
2024-04-16T15:49:56.186981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 68
 
5.5%
2 36
 
2.9%
4 34
 
2.7%
3 29
 
2.3%
5 21
 
1.7%
6 15
 
1.2%
1 14
 
1.1%
7 10
 
0.8%
8 7
 
0.6%
10 7
 
0.6%
Other values (15) 24
 
1.9%
(Missing) 976
78.6%
ValueCountFrequency (%)
0 68
5.5%
1 14
 
1.1%
2 36
2.9%
3 29
2.3%
4 34
2.7%
5 21
 
1.7%
6 15
 
1.2%
7 10
 
0.8%
8 7
 
0.6%
9 3
 
0.2%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
37 1
 
0.1%
33 1
 
0.1%
31 3
0.2%
27 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1083 
기타
 
85
학교정화(상대)
 
22
주택가주변
 
21
아파트지역
 
19
Other values (3)
 
11

Length

Max length8
Median length4
Mean length3.9983884
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> 1083
87.3%
기타 85
 
6.8%
학교정화(상대) 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대) 2
 
0.2%

Length

2024-04-16T15:49:56.286919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:56.374828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1083
87.3%
기타 85
 
6.8%
학교정화(상대 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대 2
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

보험기관명
Categorical

Distinct30
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
451 
서울보증보험주식회사
262 
서울보증보험
226 
한국관광협회중앙회 여행공제회
83 
한국관광협회중앙회
63 
Other values (25)
156 

Length

Max length19
Median length16
Mean length7.1684126
Min length4

Unique

Unique14 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 451
36.3%
서울보증보험주식회사 262
21.1%
서울보증보험 226
18.2%
한국관광협회중앙회 여행공제회 83
 
6.7%
한국관광협회중앙회 63
 
5.1%
한국관광협회 58
 
4.7%
서울보증보험(주) 20
 
1.6%
부산광역시관광협회 16
 
1.3%
한국관광협회중앙회여행공제회 12
 
1.0%
한국관광협회중앙회 관광공제회 8
 
0.6%
Other values (20) 42
 
3.4%

Length

2024-04-16T15:49:56.481124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 451
33.6%
서울보증보험주식회사 262
19.5%
서울보증보험 226
16.8%
한국관광협회중앙회 156
 
11.6%
여행공제회 84
 
6.2%
한국관광협회 59
 
4.4%
서울보증보험(주 20
 
1.5%
부산광역시관광협회 16
 
1.2%
관광공제회 16
 
1.2%
한국관광협회중앙회여행공제회 12
 
0.9%
Other values (19) 42
 
3.1%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
998 
근린생활시설
169 
사무실
 
54
교육연구시설
 
6
기타
 
5
Other values (6)
 
9

Length

Max length15
Median length4
Mean length4.2385173
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 998
80.4%
근린생활시설 169
 
13.6%
사무실 54
 
4.4%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
복지시설 1
 
0.1%
다세대주택 1
 
0.1%
다가구용 주택(공동주택적용) 1
 
0.1%

Length

2024-04-16T15:49:56.580947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 998
80.4%
근린생활시설 169
 
13.6%
사무실 54
 
4.3%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
복지시설 1
 
0.1%
다세대주택 1
 
0.1%
다가구용 1
 
0.1%
Other values (2) 2
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)9.1%
Missing955
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean4.2097902
Minimum0
Maximum49
Zeros65
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:56.671973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile15
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.1699363
Coefficient of variation (CV)1.4656161
Kurtosis18.071784
Mean4.2097902
Median Absolute Deviation (MAD)2
Skewness3.7160126
Sum1204
Variance38.068114
MonotonicityNot monotonic
2024-04-16T15:49:56.761549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 65
 
5.2%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 23
 
1.9%
1 17
 
1.4%
6 10
 
0.8%
9 8
 
0.6%
7 8
 
0.6%
10 5
 
0.4%
Other values (16) 25
 
2.0%
(Missing) 955
77.0%
ValueCountFrequency (%)
0 65
5.2%
1 17
 
1.4%
2 60
4.8%
3 39
3.1%
4 26
 
2.1%
5 23
 
1.9%
6 10
 
0.8%
7 8
 
0.6%
8 4
 
0.3%
9 8
 
0.6%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
32 1
 
0.1%
29 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
17 1
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.4%
Missing1061
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean0.87777778
Minimum0
Maximum7
Zeros84
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:56.841756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2625042
Coefficient of variation (CV)1.4382959
Kurtosis6.4255148
Mean0.87777778
Median Absolute Deviation (MAD)1
Skewness2.3720741
Sum158
Variance1.5939168
MonotonicityNot monotonic
2024-04-16T15:49:56.920591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 84
 
6.8%
1 69
 
5.6%
2 13
 
1.0%
5 6
 
0.5%
3 4
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
(Missing) 1061
85.5%
ValueCountFrequency (%)
0 84
6.8%
1 69
5.6%
2 13
 
1.0%
3 4
 
0.3%
4 2
 
0.2%
5 6
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.5%
4 2
 
0.2%
3 4
 
0.3%
2 13
 
1.0%
1 69
5.6%
0 84
6.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:57.022049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:57.102074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:57.184170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:57.271846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

영문상호명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1212
Missing (%)97.7%
Memory size9.8 KiB
2024-04-16T15:49:57.413667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length20.172414
Min length7

Characters and Unicode

Total characters585
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowLeaders Tour
2nd rowSEOKWANG Travel
3rd rowEMTCO Limited
4th rowNadri Tour Co.,Ltd.
5th rowS&G.CO.,Ltd
ValueCountFrequency (%)
tour 13
 
13.0%
travel 9
 
9.0%
ltd 7
 
7.0%
co 7
 
7.0%
co.,ltd 5
 
5.0%
inc 4
 
4.0%
service 3
 
3.0%
agency 3
 
3.0%
air 2
 
2.0%
express 2
 
2.0%
Other values (43) 45
45.0%
2024-04-16T15:49:57.712177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
12.1%
T 35
 
6.0%
O 29
 
5.0%
R 29
 
5.0%
L 28
 
4.8%
E 28
 
4.8%
. 23
 
3.9%
A 23
 
3.9%
C 22
 
3.8%
S 19
 
3.2%
Other values (42) 278
47.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 327
55.9%
Lowercase Letter 149
25.5%
Space Separator 71
 
12.1%
Other Punctuation 36
 
6.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 35
10.7%
O 29
 
8.9%
R 29
 
8.9%
L 28
 
8.6%
E 28
 
8.6%
A 23
 
7.0%
C 22
 
6.7%
S 19
 
5.8%
U 19
 
5.8%
I 15
 
4.6%
Other values (14) 80
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 18
12.1%
n 16
10.7%
o 15
10.1%
e 15
10.1%
r 14
9.4%
t 11
 
7.4%
d 10
 
6.7%
c 9
 
6.0%
u 7
 
4.7%
l 6
 
4.0%
Other values (12) 28
18.8%
Other Punctuation
ValueCountFrequency (%)
. 23
63.9%
, 11
30.6%
& 2
 
5.6%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476
81.4%
Common 109
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 35
 
7.4%
O 29
 
6.1%
R 29
 
6.1%
L 28
 
5.9%
E 28
 
5.9%
A 23
 
4.8%
C 22
 
4.6%
S 19
 
4.0%
U 19
 
4.0%
a 18
 
3.8%
Other values (36) 226
47.5%
Common
ValueCountFrequency (%)
71
65.1%
. 23
 
21.1%
, 11
 
10.1%
& 2
 
1.8%
( 1
 
0.9%
) 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 585
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
 
12.1%
T 35
 
6.0%
O 29
 
5.0%
R 29
 
5.0%
L 28
 
4.8%
E 28
 
4.8%
. 23
 
3.9%
A 23
 
3.9%
C 22
 
3.8%
S 19
 
3.2%
Other values (42) 278
47.5%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1212 
Domestic travel business
 
6
DOMESTIC TRAVEL BUSINESS
 
4
Inland Travel Business
 
3
Domestic Traval Agency
 
3
Other values (8)
 
13

Length

Max length30
Median length4
Mean length4.4528606
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1212
97.7%
Domestic travel business 6
 
0.5%
DOMESTIC TRAVEL BUSINESS 4
 
0.3%
Inland Travel Business 3
 
0.2%
Domestic Traval Agency 3
 
0.2%
Domestic Travel Agency 3
 
0.2%
DOMESTIC TRAVEL AGENCY 3
 
0.2%
WITHIN A COUNTRY TRAVEL AGENCY 2
 
0.2%
Domestic Travel Industry 1
 
0.1%
Domestic Travel Business 1
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-04-16T15:49:57.818823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1212
93.1%
travel 26
 
2.0%
domestic 22
 
1.7%
business 15
 
1.2%
agency 12
 
0.9%
inland 3
 
0.2%
traval 3
 
0.2%
within 2
 
0.2%
a 2
 
0.2%
country 2
 
0.2%
Other values (3) 3
 
0.2%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:57.923473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:58.027480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:58.140979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:58.221985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:58.304055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:58.633027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:58.710662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:58.786606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:58.864623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:58.941067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct223
Distinct (%)64.8%
Missing897
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean269.71657
Minimum0
Maximum43511
Zeros62
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:59.025557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5225
median40.135
Q379.85
95-th percentile198
Maximum43511
Range43511
Interquartile range (IQR)63.3275

Descriptive statistics

Standard deviation2563.6318
Coefficient of variation (CV)9.5049104
Kurtosis244.88356
Mean269.71657
Median Absolute Deviation (MAD)28.77
Skewness15.160113
Sum92782.5
Variance6572208.2
MonotonicityNot monotonic
2024-04-16T15:49:59.130278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 62
 
5.0%
33.0 12
 
1.0%
30.0 7
 
0.6%
50.0 6
 
0.5%
66.0 6
 
0.5%
20.0 5
 
0.4%
198.0 3
 
0.2%
15.0 3
 
0.2%
25.0 3
 
0.2%
12.0 3
 
0.2%
Other values (213) 234
 
18.9%
(Missing) 897
72.3%
ValueCountFrequency (%)
0.0 62
5.0%
2.58 1
 
0.1%
4.05 1
 
0.1%
6.0 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
8.0 1
 
0.1%
8.4 1
 
0.1%
10.0 1
 
0.1%
12.0 3
 
0.2%
ValueCountFrequency (%)
43511.0 1
0.1%
18592.0 1
0.1%
3920.67 1
0.1%
3480.76 1
0.1%
2988.0 1
0.1%
1022.9 1
0.1%
1013.0 1
0.1%
268.5 1
0.1%
258.15 1
0.1%
243.34 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1179 
0
 
62

Length

Max length4
Median length4
Mean length3.8501209
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> 1179
95.0%
0 62
 
5.0%

Length

2024-04-16T15:49:59.227561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:59.318436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
95.0%
0 62
 
5.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1240 
20200205
 
1

Length

Max length8
Median length4
Mean length4.0032232
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1240
99.9%
20200205 1
 
0.1%

Length

2024-04-16T15:49:59.435767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:59.544356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1240
99.9%
20200205 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1240 
20210204
 
1

Length

Max length8
Median length4
Mean length4.0032232
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1240
99.9%
20210204 1
 
0.1%

Length

2024-04-16T15:49:59.648550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:59.730133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1240
99.9%
20210204 1
 
0.1%

자본금
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)17.2%
Missing422
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean86137096
Minimum0
Maximum6.5122084 × 109
Zeros11
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:49:59.812185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15000000
Q130000000
median50000000
Q31 × 108
95-th percentile1.5 × 108
Maximum6.5122084 × 109
Range6.5122084 × 109
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation2.6646635 × 108
Coefficient of variation (CV)3.0935144
Kurtosis447.05793
Mean86137096
Median Absolute Deviation (MAD)21843925
Skewness19.890245
Sum7.0546282 × 1010
Variance7.1004314 × 1016
MonotonicityNot monotonic
2024-04-16T15:49:59.920048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 192
15.5%
30000000 108
 
8.7%
150000000 103
 
8.3%
100000000 72
 
5.8%
15000000 58
 
4.7%
90000000 53
 
4.3%
45000000 21
 
1.7%
20000000 16
 
1.3%
60000000 16
 
1.3%
0 11
 
0.9%
Other values (131) 169
13.6%
(Missing) 422
34.0%
ValueCountFrequency (%)
0 11
 
0.9%
5000 1
 
0.1%
5300 1
 
0.1%
30000 1
 
0.1%
1500000 1
 
0.1%
1750000 1
 
0.1%
3000000 4
 
0.3%
5000000 1
 
0.1%
10000000 2
 
0.2%
15000000 58
4.7%
ValueCountFrequency (%)
6512208375 1
 
0.1%
3500000000 1
 
0.1%
1000000000 1
 
0.1%
950000000 1
 
0.1%
505000000 1
 
0.1%
500000000 5
0.4%
490000000 1
 
0.1%
375256000 1
 
0.1%
300000000 3
0.2%
281323639 1
 
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct647
Distinct (%)78.8%
Missing420
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean20185196
Minimum20021021
Maximum20210901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:50:00.034530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110817
Q120171112
median20200404
Q320210101
95-th percentile20210619
Maximum20210901
Range189880
Interquartile range (IQR)38989

Descriptive statistics

Standard deviation31705.846
Coefficient of variation (CV)0.0015707475
Kurtosis4.1334893
Mean20185196
Median Absolute Deviation (MAD)9921
Skewness-1.9410624
Sum1.6572046 × 1010
Variance1.0052607 × 109
MonotonicityNot monotonic
2024-04-16T15:50:00.151464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 8
 
0.6%
20210201 6
 
0.5%
20210101 5
 
0.4%
20200625 5
 
0.4%
20200826 4
 
0.3%
20210113 4
 
0.3%
20200926 4
 
0.3%
20200723 4
 
0.3%
20200701 4
 
0.3%
20201201 4
 
0.3%
Other values (637) 773
62.3%
(Missing) 420
33.8%
ValueCountFrequency (%)
20021021 1
0.1%
20030812 1
0.1%
20030925 1
0.1%
20040420 1
0.1%
20051201 1
0.1%
20070111 1
0.1%
20070601 1
0.1%
20070802 1
0.1%
20071116 1
0.1%
20080303 1
0.1%
ValueCountFrequency (%)
20210901 1
0.1%
20210830 1
0.1%
20210828 1
0.1%
20210826 1
0.1%
20210824 1
0.1%
20210822 1
0.1%
20210819 1
0.1%
20210818 2
0.2%
20210814 1
0.1%
20210811 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct642
Distinct (%)78.1%
Missing419
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean20197761
Minimum20031021
Maximum21210810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:50:00.271760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20121023
Q120181220
median20210423
Q320220105
95-th percentile20220630
Maximum21210810
Range1179789
Interquartile range (IQR)38885.25

Descriptive statistics

Standard deviation59180.83
Coefficient of variation (CV)0.0029300688
Kurtosis208.27593
Mean20197761
Median Absolute Deviation (MAD)9908
Skewness11.91843
Sum1.660256 × 1010
Variance3.5023706 × 109
MonotonicityNot monotonic
2024-04-16T15:50:00.403796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220331 7
 
0.6%
20211231 6
 
0.5%
20220131 5
 
0.4%
20220325 4
 
0.3%
20210624 4
 
0.3%
20210825 4
 
0.3%
20220223 4
 
0.3%
20210722 4
 
0.3%
20210630 4
 
0.3%
20211130 4
 
0.3%
Other values (632) 776
62.5%
(Missing) 419
33.8%
ValueCountFrequency (%)
20031021 1
0.1%
20040812 1
0.1%
20040925 1
0.1%
20050420 1
0.1%
20061201 1
0.1%
20080111 1
0.1%
20080601 1
0.1%
20080802 1
0.1%
20081115 1
0.1%
20090704 1
0.1%
ValueCountFrequency (%)
21210810 1
0.1%
21210714 1
0.1%
20240301 1
0.1%
20221110 1
0.1%
20221027 1
0.1%
20220831 1
0.1%
20220829 1
0.1%
20220828 1
0.1%
20220825 1
0.1%
20220824 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)37.8%
Missing897
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean269.73547
Minimum0
Maximum43511
Zeros62
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-04-16T15:50:00.547705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median40
Q380
95-th percentile198
Maximum43511
Range43511
Interquartile range (IQR)63

Descriptive statistics

Standard deviation2563.6326
Coefficient of variation (CV)9.5042476
Kurtosis244.8828
Mean269.73547
Median Absolute Deviation (MAD)28.5
Skewness15.16008
Sum92789
Variance6572212.3
MonotonicityNot monotonic
2024-04-16T15:50:00.676112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
5.0%
33 16
 
1.3%
50 11
 
0.9%
30 9
 
0.7%
20 9
 
0.7%
66 8
 
0.6%
40 7
 
0.6%
15 6
 
0.5%
32 5
 
0.4%
26 5
 
0.4%
Other values (120) 206
 
16.6%
(Missing) 897
72.3%
ValueCountFrequency (%)
0 62
5.0%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
10 1
 
0.1%
12 3
 
0.2%
13 2
 
0.2%
15 6
 
0.5%
ValueCountFrequency (%)
43511 1
0.1%
18592 1
0.1%
3921 1
0.1%
3481 1
0.1%
2988 1
0.1%
1023 1
0.1%
1013 1
0.1%
269 1
0.1%
258 1
0.1%
243 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1241
Missing (%)100.0%
Memory size11.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국내여행업03_12_01_P3250000CDFI226001200700001320071109<NA>2휴업2휴업<NA>2021010120211231<NA>469-7731<NA>600815부산광역시 중구 중앙동4가 53-30부산광역시 중구 중앙대로81번길 2 (중앙동4가)<NA>(주)팔성국제관광20210311140247U2021-03-13 02:40:00.0<NA>385556.341486180343.213568국내여행업관광사업<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>1500000002018110920191108<NA><NA><NA>
12국내여행업03_12_01_P3250000CDFI226001201900000220190110<NA>3폐업3폐업20200106<NA><NA><NA>051241 0909<NA><NA>부산광역시 중구 남포동4가 44-3번지부산광역시 중구 자갈치해안로 60 (남포동4가)48984부산남항유람선 자갈치크루즈20200106150326U2020-01-08 02:40:00.0<NA>385191.013393179401.283402국내여행업<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>162433582019011420200113<NA><NA><NA>
23국내여행업03_12_01_P3250000CDFI226001201900000620190829<NA>3폐업3폐업20190924<NA><NA><NA>051-464-6464<NA><NA>부산광역시 중구 중앙동4가 15-3번지부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)48940(주)마린크루즈20190924165841U2019-09-26 02:40:00.0<NA>386032.236799180263.270671국내여행업<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>15000000<NA><NA><NA><NA><NA>
34국내여행업03_12_01_P3250000CDFI226001199700000619970421<NA>3폐업3폐업20060704<NA><NA><NA>254-4061<NA>600045부산광역시 중구 남포동5가 39-6번지부산광역시 중구 중구로 2 (남포동5가)<NA>(주)초이스관광여행사20060704162946I2018-08-31 23:59:59.0<NA>384877.272224179536.794609국내여행업관광사업<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>
45국내여행업03_12_01_P3250000CDFI226001199400000119940929<NA>3폐업3폐업20200317<NA><NA><NA>246-1003<NA>600046부산광역시 중구 남포동6가 113-1번지부산광역시 중구 구덕로 87-1 (남포동6가)<NA>(주)미래투어20200317173318U2020-03-19 02:40:00.0<NA>384708.848958179404.943227국내여행업관광사업<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>2018100820191017<NA><NA><NA>
56국내여행업03_12_01_P3250000CDFI226001199700000719970801<NA>3폐업3폐업20060517<NA><NA><NA>442-5020<NA>600815부산광역시 중구 중앙동4가 37-16번지 동아제일빌딩 903호부산광역시 중구 중앙대로81번길 9, 903호 (중앙동4가,동아제일빌딩)<NA>(주)세진여행사20060517165132I2018-08-31 23:59:59.0<NA>385473.57641180297.978229국내여행업관광사업<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>
67국내여행업03_12_01_P3250000CDFI226001199800000119980202<NA>3폐업3폐업20090129<NA><NA><NA>462-6661<NA>600814부산광역시 중구 중앙동4가 89-1번지부산광역시 중구 중앙대로 94 (중앙동4가)<NA>(주)아주좋은여행사20090129180902I2018-08-31 23:59:59.0<NA>385624.46871180447.914514국내여행업관광사업<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>
78국내여행업03_12_01_P3250000CDFI226001200000000820001024<NA>3폐업3폐업20200318<NA><NA><NA>247-1122<NA><NA>부산광역시 중구 부평동2가 68-4번지부산광역시 중구 흑교로 18 (부평동2가)48977(주)뉴태평양여행사20200318155253U2020-03-20 02:40:00.0<NA>384598.903965179879.997495국내여행업관광사업<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>
89국내여행업03_12_01_P3250000CDFI226001200700001120071018<NA>3폐업3폐업20071101<NA><NA><NA>463-5585<NA>600811부산광역시 중구 영주동 31-13번지부산광역시 중구 대영로 245 (영주동)<NA>해정여행사20071101133817I2018-08-31 23:59:59.0<NA>385692.204059181148.902569국내여행업관광사업<NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA><NA>
910국내여행업03_12_01_P3250000CDFI226001200700001220071030<NA>3폐업3폐업20110422<NA><NA><NA>051-465-7111<NA>600013부산광역시 중구 중앙동3가 1번지 부산우체국보험회관 9층부산광역시 중구 중앙대로 63 (중앙동3가,부산우체국보험회관 9층)<NA>(주)조이로드20110425134240I2018-08-31 23:59:59.0<NA>385561.650139180152.738082국내여행업관광사업<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>2009102920101028<NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
12311232국내여행업03_12_01_P3330000CDFI226001202100000419990513<NA>1영업/정상13영업중<NA><NA><NA><NA>051-808-6788<NA><NA>부산광역시 해운대구 중동 1829 엘시티부산광역시 해운대구 달맞이길 30, 제포디움동 2층 2023호 (중동, 엘시티)48099(주)구주20210722090252U2021-07-24 02:40:00.0<NA><NA><NA>국내여행업관광사업<NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02021060520220605<NA>0<NA>
12321233국내여행업03_12_01_P3330000CDFI226001202100000120180409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1407 해운대두산위브더제니스 104동 214호부산광역시 해운대구 마린시티2로 33, 104동 214호 (우동, 해운대두산위브더제니스)48119(주)아리아투어20210222181139I2021-02-24 00:23:01.0<NA>395388.71507186268.853283국내여행업<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>150000002020040120210331<NA><NA><NA>
12331234국내여행업03_12_01_P3330000CDFI226001202100000320210414<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-286 크리스탈비치오피스텔 620호부산광역시 해운대구 해운대해변로 291, 크리스탈비치오피스텔 620호 (중동)48095부산여성트레킹20210416105129U2021-04-18 02:40:00.0<NA>396962.538162186759.941709국내여행업<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>2021041420220413<NA><NA><NA>
12341235국내여행업03_12_01_P3330000CDFI226001202100000220210318<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1108-6 303호부산광역시 해운대구 해운대로143번길 38, 303호 (재송동)48055모아디자인20210323124804U2021-03-25 02:40:00.0<NA>393326.171272189353.108229국내여행업<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>2021032220220321<NA><NA><NA>
12351236국내여행업03_12_01_P3330000CDFI226001202000000920201127<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)콜럼버스코리아20201221160950U2020-12-23 02:40:00.0<NA>392799.149932189781.150493국내여행업<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>2020120120211130<NA><NA><NA>
12361237국내여행업03_12_01_P3330000CDFI226001200100000120010330<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>051-747-4446<NA>612824부산광역시 해운대구 우동 1434번지 선프라자 201부산광역시 해운대구 마린시티3로 1, 201호 (우동, 선프라자)612725(주)뉴그린여행사20111115163559I2018-08-31 23:59:59.0<NA>395615.201854186406.750871국내여행업관광사업<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>
12371238국내여행업03_12_01_P3330000CDFI226001201300000320130308201501284취소/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) 밀크투어20150325162610I2018-08-31 23:59:59.0<NA>398665.261088188263.875653국내여행업<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>30000002013031520140314<NA><NA><NA>
12381239국내여행업03_12_01_P3330000CDFI226001201000000620100916201410074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>740-6033<NA>612726부산광역시 해운대구 우동 오션타워 718호부산광역시 해운대구 해운대해변로 203, 718호 (우동, 오션타워)612726(주)비케이트래블20141226115313I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국내여행업<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>81517681<NA><NA><NA><NA><NA>
12391240국내여행업03_12_01_P3330000CDFI226001200400000120040107201410074취소/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 투어20141226115517I2018-08-31 23:59:59.0<NA>398133.960402187864.096706국내여행업관광사업일반상업지역7아파트지역<NA><NA>사무실71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA><NA>
12401241국내여행업03_12_01_P3330000CDFI226001200400000520040310201409124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-731-7191<NA>612821부산광역시 해운대구 우동 640-24번지부산광역시 해운대구 해운대로 575 (우동)612821(주)W.T.우리여행사20141226115732I2018-08-31 23:59:59.0<NA>396225.196088186827.050656국내여행업관광사업<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>