Overview

Dataset statistics

Number of variables64
Number of observations1531
Missing cells51568
Missing cells (%)52.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory832.9 KiB
Average record size in memory557.1 B

Variable types

Numeric23
Categorical13
Text6
Unsupported21
DateTime1

Dataset

Description2021-05-01
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 (69.1%)Imbalance
주변환경명 is highly imbalanced (76.8%)Imbalance
건물용도명 is highly imbalanced (73.0%)Imbalance
영문상호주소 is highly imbalanced (90.9%)Imbalance
인허가취소일자 has 1465 (95.7%) missing valuesMissing
폐업일자 has 836 (54.6%) missing valuesMissing
휴업시작일자 has 1516 (99.0%) missing valuesMissing
휴업종료일자 has 1516 (99.0%) missing valuesMissing
재개업일자 has 1531 (100.0%) missing valuesMissing
소재지전화 has 357 (23.3%) missing valuesMissing
소재지면적 has 1531 (100.0%) missing valuesMissing
소재지우편번호 has 695 (45.4%) missing valuesMissing
도로명전체주소 has 73 (4.8%) missing valuesMissing
도로명우편번호 has 491 (32.1%) missing valuesMissing
업태구분명 has 1531 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.1%) missing valuesMissing
좌표정보(y) has 48 (3.1%) missing valuesMissing
총층수 has 1302 (85.0%) missing valuesMissing
제작취급품목내용 has 1531 (100.0%) missing valuesMissing
지상층수 has 1292 (84.4%) missing valuesMissing
지하층수 has 1393 (91.0%) missing valuesMissing
객실수 has 1531 (100.0%) missing valuesMissing
건축연면적 has 1531 (100.0%) missing valuesMissing
영문상호명 has 1461 (95.4%) missing valuesMissing
선박총톤수 has 1531 (100.0%) missing valuesMissing
선박척수 has 1531 (100.0%) missing valuesMissing
선박제원 has 1531 (100.0%) missing valuesMissing
무대면적 has 1531 (100.0%) missing valuesMissing
좌석수 has 1531 (100.0%) missing valuesMissing
기념품종류 has 1531 (100.0%) missing valuesMissing
회의실별동시수용인원 has 1531 (100.0%) missing valuesMissing
시설면적 has 1204 (78.6%) missing valuesMissing
놀이기구수내역 has 1531 (100.0%) missing valuesMissing
놀이시설수 has 1531 (100.0%) missing valuesMissing
방송시설유무 has 1531 (100.0%) missing valuesMissing
발전시설유무 has 1531 (100.0%) missing valuesMissing
의무실유무 has 1531 (100.0%) missing valuesMissing
안내소유무 has 1531 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1522 (99.4%) missing valuesMissing
기획여행보험종료일자 has 1522 (99.4%) missing valuesMissing
자본금 has 536 (35.0%) missing valuesMissing
보험시작일자 has 468 (30.6%) missing valuesMissing
보험종료일자 has 468 (30.6%) missing valuesMissing
부대시설내역 has 1531 (100.0%) missing valuesMissing
시설규모 has 1204 (78.6%) missing valuesMissing
Unnamed: 63 has 1531 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 27.54836954)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 20:14:43.041398
Analysis finished2024-04-17 20:14:44.205790
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1531
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766
Minimum1
Maximum1531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:44.258098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.5
Q1383.5
median766
Q31148.5
95-th percentile1454.5
Maximum1531
Range1530
Interquartile range (IQR)765

Descriptive statistics

Standard deviation442.10595
Coefficient of variation (CV)0.57716181
Kurtosis-1.2
Mean766
Median Absolute Deviation (MAD)383
Skewness0
Sum1172746
Variance195457.67
MonotonicityStrictly increasing
2024-04-18T05:14:44.366116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1019 1
 
0.1%
1028 1
 
0.1%
1027 1
 
0.1%
1026 1
 
0.1%
1025 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
Other values (1521) 1521
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 (%)
1531 1
0.1%
1530 1
0.1%
1529 1
0.1%
1528 1
0.1%
1527 1
0.1%
1526 1
0.1%
1525 1
0.1%
1524 1
0.1%
1523 1
0.1%
1522 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
국외여행업
1531 

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 1531
100.0%

Length

2024-04-18T05:14:44.484697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:44.568919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1531
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
03_12_02_P
1531 

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 1531
100.0%

Length

2024-04-18T05:14:44.643359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:44.713334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 1531
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3304304.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:44.779272image/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 deviation41848.889
Coefficient of variation (CV)0.012664962
Kurtosis-0.79464205
Mean3304304.4
Median Absolute Deviation (MAD)30000
Skewness0.48517009
Sum5.05889 × 109
Variance1.7513295 × 109
MonotonicityNot monotonic
2024-04-18T05:14:44.868670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 305
19.9%
3250000 257
16.8%
3270000 199
13.0%
3330000 163
10.6%
3370000 104
 
6.8%
3310000 103
 
6.7%
3300000 102
 
6.7%
3380000 77
 
5.0%
3350000 55
 
3.6%
3340000 38
 
2.5%
Other values (6) 128
8.4%
ValueCountFrequency (%)
3250000 257
16.8%
3260000 22
 
1.4%
3270000 199
13.0%
3280000 9
 
0.6%
3290000 305
19.9%
3300000 102
 
6.7%
3310000 103
 
6.7%
3320000 34
 
2.2%
3330000 163
10.6%
3340000 38
 
2.5%
ValueCountFrequency (%)
3400000 11
 
0.7%
3390000 33
 
2.2%
3380000 77
5.0%
3370000 104
6.8%
3360000 19
 
1.2%
3350000 55
 
3.6%
3340000 38
 
2.5%
3330000 163
10.6%
3320000 34
 
2.2%
3310000 103
6.7%

관리번호
Text

Distinct468
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:14:45.035438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30620
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

Unique151 ?
Unique (%)9.9%

Sample

1st rowCDFI2260021989000002
2nd rowCDFI2260021997000004
3rd rowCDFI2260022016000014
4th rowCDFI2260022016000002
5th rowCDFI2260022018000008
ValueCountFrequency (%)
cdfi2260022017000002 15
 
1.0%
cdfi2260022019000001 14
 
0.9%
cdfi2260022017000001 14
 
0.9%
cdfi2260022001000001 13
 
0.8%
cdfi2260022020000001 13
 
0.8%
cdfi2260022016000002 12
 
0.8%
cdfi2260022019000002 12
 
0.8%
cdfi2260022013000001 11
 
0.7%
cdfi2260022014000001 11
 
0.7%
cdfi2260022015000002 10
 
0.7%
Other values (458) 1406
91.8%
2024-04-18T05:14:45.307484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12439
40.6%
2 6529
21.3%
6 1808
 
5.9%
1 1704
 
5.6%
C 1531
 
5.0%
D 1531
 
5.0%
F 1531
 
5.0%
I 1531
 
5.0%
9 532
 
1.7%
3 318
 
1.0%
Other values (4) 1166
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24496
80.0%
Uppercase Letter 6124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12439
50.8%
2 6529
26.7%
6 1808
 
7.4%
1 1704
 
7.0%
9 532
 
2.2%
3 318
 
1.3%
7 312
 
1.3%
4 309
 
1.3%
5 294
 
1.2%
8 251
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1531
25.0%
D 1531
25.0%
F 1531
25.0%
I 1531
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24496
80.0%
Latin 6124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12439
50.8%
2 6529
26.7%
6 1808
 
7.4%
1 1704
 
7.0%
9 532
 
2.2%
3 318
 
1.3%
7 312
 
1.3%
4 309
 
1.3%
5 294
 
1.2%
8 251
 
1.0%
Latin
ValueCountFrequency (%)
C 1531
25.0%
D 1531
25.0%
F 1531
25.0%
I 1531
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12439
40.6%
2 6529
21.3%
6 1808
 
5.9%
1 1704
 
5.6%
C 1531
 
5.0%
D 1531
 
5.0%
F 1531
 
5.0%
I 1531
 
5.0%
9 532
 
1.7%
3 318
 
1.0%
Other values (4) 1166
 
3.8%

인허가일자
Real number (ℝ)

Distinct1343
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091215
Minimum19840723
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:45.424202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840723
5-th percentile19970804
Q120041116
median20100128
Q320150524
95-th percentile20190328
Maximum20210330
Range369607
Interquartile range (IQR)109408

Descriptive statistics

Standard deviation68528.023
Coefficient of variation (CV)0.0034108451
Kurtosis-0.42503552
Mean20091215
Median Absolute Deviation (MAD)50574
Skewness-0.42707002
Sum3.075965 × 1010
Variance4.6960899 × 109
MonotonicityNot monotonic
2024-04-18T05:14:45.542906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170126 5
 
0.3%
20190328 4
 
0.3%
20170519 3
 
0.2%
20050607 3
 
0.2%
20110506 3
 
0.2%
20091127 3
 
0.2%
20090213 3
 
0.2%
20150402 3
 
0.2%
20070411 3
 
0.2%
20190826 3
 
0.2%
Other values (1333) 1498
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 (%)
20210330 1
0.1%
20210323 1
0.1%
20210316 1
0.1%
20210308 2
0.1%
20201224 1
0.1%
20200908 1
0.1%
20200730 1
0.1%
20200618 1
0.1%
20200617 1
0.1%
20200611 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)83.3%
Missing1465
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20135459
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:45.658203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030822
5-th percentile20070196
Q120100797
median20140912
Q320170661
95-th percentile20190957
Maximum20200226
Range169404
Interquartile range (IQR)69864.25

Descriptive statistics

Standard deviation43109.125
Coefficient of variation (CV)0.0021409557
Kurtosis-0.79557734
Mean20135459
Median Absolute Deviation (MAD)34845.5
Skewness-0.3466851
Sum1.3289403 × 109
Variance1.8583967 × 109
MonotonicityNot monotonic
2024-04-18T05:14:45.772442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090722 3
 
0.2%
20200226 3
 
0.2%
20190305 3
 
0.2%
20190515 2
 
0.1%
20160129 2
 
0.1%
20101021 2
 
0.1%
20140912 2
 
0.1%
20141007 2
 
0.1%
20130619 1
 
0.1%
20151117 1
 
0.1%
Other values (45) 45
 
2.9%
(Missing) 1465
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%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
1
731 
3
693 
4
92 
2
 
15

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 (%)
1 731
47.7%
3 693
45.3%
4 92
 
6.0%
2 15
 
1.0%

Length

2024-04-18T05:14:45.895830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:45.972642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 731
47.7%
3 693
45.3%
4 92
 
6.0%
2 15
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
영업/정상
731 
폐업
693 
취소/말소/만료/정지/중지
92 
휴업
 
15

Length

Max length14
Median length5
Mean length4.1534944
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 731
47.7%
폐업 693
45.3%
취소/말소/만료/정지/중지 92
 
6.0%
휴업 15
 
1.0%

Length

2024-04-18T05:14:46.061722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:46.146158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 731
47.7%
폐업 693
45.3%
취소/말소/만료/정지/중지 92
 
6.0%
휴업 15
 
1.0%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4506858
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:46.225471image/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 deviation7.3177654
Coefficient of variation (CV)0.77431052
Kurtosis1.9720909
Mean9.4506858
Median Absolute Deviation (MAD)10
Skewness1.2957695
Sum14469
Variance53.549691
MonotonicityNot monotonic
2024-04-18T05:14:46.325141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 731
47.7%
3 693
45.3%
31 67
 
4.4%
30 19
 
1.2%
2 15
 
1.0%
35 6
 
0.4%
ValueCountFrequency (%)
2 15
 
1.0%
3 693
45.3%
13 731
47.7%
30 19
 
1.2%
31 67
 
4.4%
35 6
 
0.4%
ValueCountFrequency (%)
35 6
 
0.4%
31 67
 
4.4%
30 19
 
1.2%
13 731
47.7%
3 693
45.3%
2 15
 
1.0%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
영업중
731 
폐업
693 
등록취소
 
67
허가취소
 
19
휴업
 
15

Length

Max length4
Median length3
Mean length2.5976486
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 731
47.7%
폐업 693
45.3%
등록취소 67
 
4.4%
허가취소 19
 
1.2%
휴업 15
 
1.0%
직권말소 6
 
0.4%

Length

2024-04-18T05:14:46.442127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:46.534914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 731
47.7%
폐업 693
45.3%
등록취소 67
 
4.4%
허가취소 19
 
1.2%
휴업 15
 
1.0%
직권말소 6
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct625
Distinct (%)89.9%
Missing836
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean20121282
Minimum19990403
Maximum20210305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:46.634562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990403
5-th percentile20020617
Q120080308
median20130325
Q320171027
95-th percentile20200802
Maximum20210305
Range219902
Interquartile range (IQR)90719.5

Descriptive statistics

Standard deviation57482.677
Coefficient of variation (CV)0.0028568098
Kurtosis-0.89615995
Mean20121282
Median Absolute Deviation (MAD)49519
Skewness-0.33328975
Sum1.3984291 × 1010
Variance3.3042582 × 109
MonotonicityNot monotonic
2024-04-18T05:14:46.742982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 8
 
0.5%
20001129 4
 
0.3%
20200630 3
 
0.2%
20200825 3
 
0.2%
20161018 3
 
0.2%
20190630 3
 
0.2%
20190919 3
 
0.2%
20140717 3
 
0.2%
20140721 2
 
0.1%
20130429 2
 
0.1%
Other values (615) 661
43.2%
(Missing) 836
54.6%
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 (%)
20210305 1
0.1%
20210216 1
0.1%
20210203 1
0.1%
20210129 1
0.1%
20210115 1
0.1%
20210113 1
0.1%
20210112 1
0.1%
20210108 1
0.1%
20210107 1
0.1%
20210104 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing1516
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20197909
Minimum20150521
Maximum20210304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:46.839580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150521
5-th percentile20171227
Q120200418
median20201008
Q320205651
95-th percentile20210232
Maximum20210304
Range59783
Interquartile range (IQR)5232.5

Descriptive statistics

Standard deviation15332.97
Coefficient of variation (CV)0.0007591365
Kurtosis6.6448142
Mean20197909
Median Absolute Deviation (MAD)697
Skewness-2.3981463
Sum3.0296864 × 108
Variance2.3509998 × 108
MonotonicityNot monotonic
2024-04-18T05:14:46.931803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20210101 2
 
0.1%
20201201 2
 
0.1%
20210304 1
 
0.1%
20180101 1
 
0.1%
20190415 1
 
0.1%
20210201 1
 
0.1%
20201008 1
 
0.1%
20150521 1
 
0.1%
20200526 1
 
0.1%
20200824 1
 
0.1%
Other values (3) 3
 
0.2%
(Missing) 1516
99.0%
ValueCountFrequency (%)
20150521 1
0.1%
20180101 1
0.1%
20190415 1
0.1%
20200311 1
0.1%
20200526 1
0.1%
20200801 1
0.1%
20200824 1
0.1%
20201008 1
0.1%
20201026 1
0.1%
20201201 2
0.1%
ValueCountFrequency (%)
20210304 1
0.1%
20210201 1
0.1%
20210101 2
0.1%
20201201 2
0.1%
20201026 1
0.1%
20201008 1
0.1%
20200824 1
0.1%
20200801 1
0.1%
20200526 1
0.1%
20200311 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing1516
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20206818
Minimum20160520
Maximum20260131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:47.019865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160520
5-th percentile20175018
Q120205619
median20210731
Q320211078
95-th percentile20225901
Maximum20260131
Range99611
Interquartile range (IQR)5458.5

Descriptive statistics

Standard deviation20856.008
Coefficient of variation (CV)0.0010321273
Kurtosis3.87898
Mean20206818
Median Absolute Deviation (MAD)399
Skewness0.29116846
Sum3.0310226 × 108
Variance4.3497306 × 108
MonotonicityNot monotonic
2024-04-18T05:14:47.108964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20211130 2
 
0.1%
20211231 1
 
0.1%
20210903 1
 
0.1%
20210630 1
 
0.1%
20181231 1
 
0.1%
20191015 1
 
0.1%
20260131 1
 
0.1%
20210407 1
 
0.1%
20160520 1
 
0.1%
20210526 1
 
0.1%
Other values (4) 4
 
0.3%
(Missing) 1516
99.0%
ValueCountFrequency (%)
20160520 1
0.1%
20181231 1
0.1%
20191015 1
0.1%
20200831 1
0.1%
20210407 1
0.1%
20210526 1
0.1%
20210630 1
0.1%
20210731 1
0.1%
20210824 1
0.1%
20210903 1
0.1%
ValueCountFrequency (%)
20260131 1
0.1%
20211231 1
0.1%
20211130 2
0.1%
20211025 1
0.1%
20210903 1
0.1%
20210824 1
0.1%
20210731 1
0.1%
20210630 1
0.1%
20210526 1
0.1%
20210407 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

소재지전화
Text

MISSING 

Distinct1129
Distinct (%)96.2%
Missing357
Missing (%)23.3%
Memory size12.1 KiB
2024-04-18T05:14:47.312581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.731687
Min length1

Characters and Unicode

Total characters12599
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

Unique1088 ?
Unique (%)92.7%

Sample

1st row469-7731
2nd row468-7555
3rd row070-7008-7788
4th row051 7537300
5th row051-714-3570
ValueCountFrequency (%)
051 33
 
2.7%
6
 
0.5%
464-8802 3
 
0.2%
070 3
 
0.2%
070-4848-4700 2
 
0.2%
051-465-7111 2
 
0.2%
051-442-0036 2
 
0.2%
051-611-7667 2
 
0.2%
051-612-7788 2
 
0.2%
051-802-2200 2
 
0.2%
Other values (1147) 1181
95.4%
2024-04-18T05:14:47.661675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2019
16.0%
- 1804
14.3%
1 1627
12.9%
5 1574
12.5%
4 963
7.6%
6 957
7.6%
8 847
6.7%
2 800
 
6.3%
7 798
 
6.3%
3 624
 
5.0%
Other values (8) 586
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10686
84.8%
Dash Punctuation 1804
 
14.3%
Space Separator 64
 
0.5%
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 2019
18.9%
1 1627
15.2%
5 1574
14.7%
4 963
9.0%
6 957
9.0%
8 847
7.9%
2 800
 
7.5%
7 798
 
7.5%
3 624
 
5.8%
9 477
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
, 4
36.4%
' 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 1804
100.0%
Space Separator
ValueCountFrequency (%)
64
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 12599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2019
16.0%
- 1804
14.3%
1 1627
12.9%
5 1574
12.5%
4 963
7.6%
6 957
7.6%
8 847
6.7%
2 800
 
6.3%
7 798
 
6.3%
3 624
 
5.0%
Other values (8) 586
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2019
16.0%
- 1804
14.3%
1 1627
12.9%
5 1574
12.5%
4 963
7.6%
6 957
7.6%
8 847
6.7%
2 800
 
6.3%
7 798
 
6.3%
3 624
 
5.0%
Other values (8) 586
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)40.9%
Missing695
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean608458.38
Minimum600011
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:48.071712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600021
Q1601808
median609316.5
Q3613879.25
95-th percentile616260.5
Maximum619963
Range19952
Interquartile range (IQR)12071.25

Descriptive statistics

Standard deviation5988.6124
Coefficient of variation (CV)0.0098422713
Kurtosis-1.5073583
Mean608458.38
Median Absolute Deviation (MAD)5521.5
Skewness-0.18755954
Sum5.086712 × 108
Variance35863479
MonotonicityNot monotonic
2024-04-18T05:14:48.184594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600815 35
 
2.3%
601839 18
 
1.2%
614826 16
 
1.0%
600014 14
 
0.9%
600816 12
 
0.8%
600013 12
 
0.8%
601715 12
 
0.8%
608804 11
 
0.7%
600814 10
 
0.7%
614849 10
 
0.7%
Other values (332) 686
44.8%
(Missing) 695
45.4%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 6
0.4%
600013 12
0.8%
600014 14
0.9%
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%

소재지전체주소
Text

Distinct1418
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:14:48.434616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length26.487916
Min length12

Characters and Unicode

Total characters40553
Distinct characters402
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1335 ?
Unique (%)87.2%

Sample

1st row부산광역시 중구 중앙동4가 53-30 1층
2nd row부산광역시 중구 대창동2가 11-7
3rd row부산광역시 중구 대창동1가 51
4th row부산광역시 중구 중앙동4가 31-1번지
5th row부산광역시 중구 중앙동6가 20-29
ValueCountFrequency (%)
부산광역시 1531
 
19.7%
부산진구 306
 
3.9%
중구 256
 
3.3%
동구 200
 
2.6%
해운대구 162
 
2.1%
초량동 144
 
1.8%
부전동 124
 
1.6%
중앙동4가 123
 
1.6%
연제구 104
 
1.3%
동래구 103
 
1.3%
Other values (2080) 4731
60.8%
2024-04-18T05:14:48.805331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6256
 
15.4%
부 2055
 
5.1%
1 2009
 
5.0%
동 1994
 
4.9%
산 1990
 
4.9%
광 1579
 
3.9%
시 1575
 
3.9%
구 1543
 
3.8%
역 1539
 
3.8%
- 1321
 
3.3%
Other values (392) 18692
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24059
59.3%
Decimal Number 8671
 
21.4%
Space Separator 6256
 
15.4%
Dash Punctuation 1321
 
3.3%
Uppercase Letter 149
 
0.4%
Lowercase Letter 42
 
0.1%
Close Punctuation 20
 
< 0.1%
Open Punctuation 20
 
< 0.1%
Other Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2055
 
8.5%
동 1994
 
8.3%
산 1990
 
8.3%
광 1579
 
6.6%
시 1575
 
6.5%
구 1543
 
6.4%
역 1539
 
6.4%
지 1034
 
4.3%
번 987
 
4.1%
호 531
 
2.2%
Other values (335) 9232
38.4%
Uppercase Letter
ValueCountFrequency (%)
S 19
12.8%
B 15
10.1%
A 14
 
9.4%
T 14
 
9.4%
K 14
 
9.4%
C 9
 
6.0%
E 8
 
5.4%
O 7
 
4.7%
I 6
 
4.0%
D 6
 
4.0%
Other values (11) 37
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
23.8%
o 4
 
9.5%
l 4
 
9.5%
i 3
 
7.1%
n 2
 
4.8%
a 2
 
4.8%
d 2
 
4.8%
m 2
 
4.8%
p 2
 
4.8%
x 2
 
4.8%
Other values (8) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 2009
23.2%
2 1161
13.4%
3 970
11.2%
4 918
10.6%
0 857
9.9%
5 670
 
7.7%
8 590
 
6.8%
7 566
 
6.5%
6 528
 
6.1%
9 402
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 8
53.3%
, 5
33.3%
@ 1
 
6.7%
· 1
 
6.7%
Space Separator
ValueCountFrequency (%)
6256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24059
59.3%
Common 16303
40.2%
Latin 191
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2055
 
8.5%
동 1994
 
8.3%
산 1990
 
8.3%
광 1579
 
6.6%
시 1575
 
6.5%
구 1543
 
6.4%
역 1539
 
6.4%
지 1034
 
4.3%
번 987
 
4.1%
호 531
 
2.2%
Other values (335) 9232
38.4%
Latin
ValueCountFrequency (%)
S 19
 
9.9%
B 15
 
7.9%
A 14
 
7.3%
T 14
 
7.3%
K 14
 
7.3%
e 10
 
5.2%
C 9
 
4.7%
E 8
 
4.2%
O 7
 
3.7%
I 6
 
3.1%
Other values (29) 75
39.3%
Common
ValueCountFrequency (%)
6256
38.4%
1 2009
 
12.3%
- 1321
 
8.1%
2 1161
 
7.1%
3 970
 
5.9%
4 918
 
5.6%
0 857
 
5.3%
5 670
 
4.1%
8 590
 
3.6%
7 566
 
3.5%
Other values (8) 985
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24059
59.3%
ASCII 16493
40.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6256
37.9%
1 2009
 
12.2%
- 1321
 
8.0%
2 1161
 
7.0%
3 970
 
5.9%
4 918
 
5.6%
0 857
 
5.2%
5 670
 
4.1%
8 590
 
3.6%
7 566
 
3.4%
Other values (46) 1175
 
7.1%
Hangul
ValueCountFrequency (%)
부 2055
 
8.5%
동 1994
 
8.3%
산 1990
 
8.3%
광 1579
 
6.6%
시 1575
 
6.5%
구 1543
 
6.4%
역 1539
 
6.4%
지 1034
 
4.3%
번 987
 
4.1%
호 531
 
2.2%
Other values (335) 9232
38.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1403
Distinct (%)96.2%
Missing73
Missing (%)4.8%
Memory size12.1 KiB
2024-04-18T05:14:49.083923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length34.008916
Min length20

Characters and Unicode

Total characters49585
Distinct characters424
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

Unique1358 ?
Unique (%)93.1%

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 37, 2층 (중앙동6가)
ValueCountFrequency (%)
부산광역시 1458
 
15.6%
부산진구 289
 
3.1%
중구 247
 
2.6%
중앙대로 245
 
2.6%
동구 179
 
1.9%
해운대구 156
 
1.7%
2층 124
 
1.3%
연제구 103
 
1.1%
남구 102
 
1.1%
초량동 100
 
1.1%
Other values (2066) 6335
67.8%
2024-04-18T05:14:49.476994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8193
 
16.5%
동 2049
 
4.1%
부 2003
 
4.0%
산 1919
 
3.9%
1 1803
 
3.6%
, 1623
 
3.3%
시 1555
 
3.1%
광 1544
 
3.1%
구 1496
 
3.0%
역 1467
 
3.0%
Other values (414) 25933
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28549
57.6%
Space Separator 8193
 
16.5%
Decimal Number 7856
 
15.8%
Other Punctuation 1630
 
3.3%
Open Punctuation 1464
 
3.0%
Close Punctuation 1464
 
3.0%
Dash Punctuation 194
 
0.4%
Uppercase Letter 183
 
0.4%
Lowercase Letter 49
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2049
 
7.2%
부 2003
 
7.0%
산 1919
 
6.7%
시 1555
 
5.4%
광 1544
 
5.4%
구 1496
 
5.2%
역 1467
 
5.1%
로 1460
 
5.1%
대 1006
 
3.5%
중 851
 
3.0%
Other values (356) 13199
46.2%
Uppercase Letter
ValueCountFrequency (%)
C 22
12.0%
S 21
11.5%
A 20
10.9%
B 18
9.8%
K 16
8.7%
E 14
 
7.7%
T 12
 
6.6%
I 8
 
4.4%
P 7
 
3.8%
Y 6
 
3.3%
Other values (12) 39
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 13
26.5%
l 4
 
8.2%
o 4
 
8.2%
i 4
 
8.2%
s 2
 
4.1%
u 2
 
4.1%
p 2
 
4.1%
n 2
 
4.1%
w 2
 
4.1%
a 2
 
4.1%
Other values (8) 12
24.5%
Decimal Number
ValueCountFrequency (%)
1 1803
23.0%
2 1148
14.6%
3 944
12.0%
0 917
11.7%
4 698
 
8.9%
5 555
 
7.1%
6 509
 
6.5%
7 476
 
6.1%
8 407
 
5.2%
9 399
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 1623
99.6%
/ 6
 
0.4%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28549
57.6%
Common 20804
42.0%
Latin 232
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2049
 
7.2%
부 2003
 
7.0%
산 1919
 
6.7%
시 1555
 
5.4%
광 1544
 
5.4%
구 1496
 
5.2%
역 1467
 
5.1%
로 1460
 
5.1%
대 1006
 
3.5%
중 851
 
3.0%
Other values (356) 13199
46.2%
Latin
ValueCountFrequency (%)
C 22
 
9.5%
S 21
 
9.1%
A 20
 
8.6%
B 18
 
7.8%
K 16
 
6.9%
E 14
 
6.0%
e 13
 
5.6%
T 12
 
5.2%
I 8
 
3.4%
P 7
 
3.0%
Other values (30) 81
34.9%
Common
ValueCountFrequency (%)
8193
39.4%
1 1803
 
8.7%
, 1623
 
7.8%
( 1464
 
7.0%
) 1464
 
7.0%
2 1148
 
5.5%
3 944
 
4.5%
0 917
 
4.4%
4 698
 
3.4%
5 555
 
2.7%
Other values (8) 1995
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28549
57.6%
ASCII 21035
42.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8193
38.9%
1 1803
 
8.6%
, 1623
 
7.7%
( 1464
 
7.0%
) 1464
 
7.0%
2 1148
 
5.5%
3 944
 
4.5%
0 917
 
4.4%
4 698
 
3.3%
5 555
 
2.6%
Other values (47) 2226
 
10.6%
Hangul
ValueCountFrequency (%)
동 2049
 
7.2%
부 2003
 
7.0%
산 1919
 
6.7%
시 1555
 
5.4%
광 1544
 
5.4%
구 1496
 
5.2%
역 1467
 
5.1%
로 1460
 
5.1%
대 1006
 
3.5%
중 851
 
3.0%
Other values (356) 13199
46.2%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct510
Distinct (%)49.0%
Missing491
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean104157.95
Minimum46007
Maximum619960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:49.589653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46007
5-th percentile46526
Q147356
median48117
Q348924
95-th percentile612040
Maximum619960
Range573953
Interquartile range (IQR)1568

Descriptive statistics

Standard deviation168589.9
Coefficient of variation (CV)1.6185985
Kurtosis5.1457375
Mean104157.95
Median Absolute Deviation (MAD)805.5
Skewness2.6710086
Sum1.0832427 × 108
Variance2.8422555 × 1010
MonotonicityNot monotonic
2024-04-18T05:14:49.688555image/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 19
 
1.2%
48821 15
 
1.0%
48792 15
 
1.0%
48930 14
 
0.9%
48741 13
 
0.8%
48508 13
 
0.8%
48060 12
 
0.8%
48092 12
 
0.8%
Other values (500) 876
57.2%
(Missing) 491
32.1%
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%

사업장명
Text

Distinct1493
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:14:49.877978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length8.3180927
Min length2

Characters and Unicode

Total characters12735
Distinct characters528
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

Unique1455 ?
Unique (%)95.0%

Sample

1st row(주)팔성국제관광
2nd row(주)남태평양관광
3rd rowPMP 투어
4th row파초여행(주)
5th row데일리투어&골프
ValueCountFrequency (%)
주식회사 97
 
5.2%
여행사 35
 
1.9%
투어 22
 
1.2%
주 22
 
1.2%
tour 11
 
0.6%
여행 11
 
0.6%
부산 4
 
0.2%
트래블 4
 
0.2%
협동조합 4
 
0.2%
글로벌 3
 
0.2%
Other values (1568) 1637
88.5%
2024-04-18T05:14:50.188187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1145
 
9.0%
) 1044
 
8.2%
( 1043
 
8.2%
행 611
 
4.8%
여 609
 
4.8%
사 573
 
4.5%
어 537
 
4.2%
투 532
 
4.2%
319
 
2.5%
이 253
 
2.0%
Other values (518) 6069
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10008
78.6%
Close Punctuation 1044
 
8.2%
Open Punctuation 1043
 
8.2%
Space Separator 319
 
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 (%)
주 1145
 
11.4%
행 611
 
6.1%
여 609
 
6.1%
사 573
 
5.7%
어 537
 
5.4%
투 532
 
5.3%
이 253
 
2.5%
스 224
 
2.2%
광 152
 
1.5%
관 147
 
1.5%
Other values (459) 5225
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%
t 5
 
7.6%
l 5
 
7.6%
e 4
 
6.1%
w 3
 
4.5%
s 3
 
4.5%
m 3
 
4.5%
i 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 (%)
) 1044
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1043
100.0%
Space Separator
ValueCountFrequency (%)
319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10008
78.6%
Common 2455
 
19.3%
Latin 272
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1145
 
11.4%
행 611
 
6.1%
여 609
 
6.1%
사 573
 
5.7%
어 537
 
5.4%
투 532
 
5.3%
이 253
 
2.5%
스 224
 
2.2%
광 152
 
1.5%
관 147
 
1.5%
Other values (459) 5225
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%
I 9
 
3.3%
o 9
 
3.3%
J 9
 
3.3%
Other values (35) 130
47.8%
Common
ValueCountFrequency (%)
) 1044
42.5%
( 1043
42.5%
319
 
13.0%
. 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 10008
78.6%
ASCII 2725
 
21.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1145
 
11.4%
행 611
 
6.1%
여 609
 
6.1%
사 573
 
5.7%
어 537
 
5.4%
투 532
 
5.3%
이 253
 
2.5%
스 224
 
2.2%
광 152
 
1.5%
관 147
 
1.5%
Other values (459) 5225
52.2%
ASCII
ValueCountFrequency (%)
) 1044
38.3%
( 1043
38.3%
319
 
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)

Distinct1506
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162336 × 1013
Minimum2.0021018 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:50.302699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041225 × 1013
Q12.0130759 × 1013
median2.0190722 × 1013
Q32.020082 × 1013
95-th percentile2.0210224 × 1013
Maximum2.021033 × 1013
Range1.8931203 × 1011
Interquartile range (IQR)7.0061476 × 1010

Descriptive statistics

Standard deviation5.3510157 × 1010
Coefficient of variation (CV)0.0026539661
Kurtosis-0.11042732
Mean2.0162336 × 1013
Median Absolute Deviation (MAD)1.9482013 × 1010
Skewness-1.0817635
Sum3.0868536 × 1016
Variance2.8633369 × 1021
MonotonicityNot monotonic
2024-04-18T05:14:50.410764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161348 14
 
0.9%
20030127161421 13
 
0.8%
20210311140312 1
 
0.1%
20210223142704 1
 
0.1%
20210311133537 1
 
0.1%
20210224174445 1
 
0.1%
20191202100455 1
 
0.1%
20210303162657 1
 
0.1%
20210224104026 1
 
0.1%
20210224105513 1
 
0.1%
Other values (1496) 1496
97.7%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165315 1
 
0.1%
20030127161348 14
0.9%
20030127161421 13
0.8%
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 (%)
20210330160738 1
0.1%
20210330155932 1
0.1%
20210330110430 1
0.1%
20210330090005 1
0.1%
20210329150114 1
0.1%
20210326134112 1
0.1%
20210326090938 1
0.1%
20210325131812 1
0.1%
20210325084126 1
0.1%
20210325084053 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
U
826 
I
705 

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 826
54.0%
I 705
46.0%

Length

2024-04-18T05:14:50.524010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:50.599477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 826
54.0%
i 705
46.0%

데이터갱신일자
Date

Distinct387
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-01 02:40:00
2024-04-18T05:14:50.682947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:14:50.795107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct986
Distinct (%)66.5%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean388211.67
Minimum368967.07
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:50.906502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368967.07
5-th percentile381655.72
Q1385678.82
median387735.74
Q3390198.13
95-th percentile396180.62
Maximum402047.51
Range33080.438
Interquartile range (IQR)4519.3146

Descriptive statistics

Standard deviation4123.394
Coefficient of variation (CV)0.01062151
Kurtosis1.6532532
Mean388211.67
Median Absolute Deviation (MAD)2104.9997
Skewness0.15497149
Sum5.7571791 × 108
Variance17002378
MonotonicityNot monotonic
2024-04-18T05:14:51.008756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387225.613588405 29
 
1.9%
391411.212179843 23
 
1.5%
385473.576409934 18
 
1.2%
385507.640529964 17
 
1.1%
385502.492319657 15
 
1.0%
386093.674147239 15
 
1.0%
387778.879751482 14
 
0.9%
385676.22672246 12
 
0.8%
396180.621244719 10
 
0.7%
385630.742187332 10
 
0.7%
Other values (976) 1320
86.2%
(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 

Distinct986
Distinct (%)66.5%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean185618.94
Minimum174307.15
Maximum205995.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:51.115016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179877.48
Q1181340.81
median185969.11
Q3188211.98
95-th percentile193859.76
Maximum205995.9
Range31688.756
Interquartile range (IQR)6871.171

Descriptive statistics

Standard deviation4495.1544
Coefficient of variation (CV)0.024217111
Kurtosis0.68252687
Mean185618.94
Median Absolute Deviation (MAD)3367.1916
Skewness0.63598442
Sum2.7527288 × 108
Variance20206413
MonotonicityNot monotonic
2024-04-18T05:14:51.218491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186408.726533861 29
 
1.9%
184052.409245407 23
 
1.5%
180297.978228551 18
 
1.2%
180548.792611588 17
 
1.1%
180297.579330876 15
 
1.0%
182068.358104572 15
 
1.0%
184455.754008589 14
 
0.9%
180949.186545775 12
 
0.8%
186522.35047527 10
 
0.7%
180306.821082315 10
 
0.7%
Other values (976) 1320
86.2%
(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 size12.1 KiB
국외여행업
1531 

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 1531
100.0%

Length

2024-04-18T05:14:51.318364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:51.397159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1531
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
818 
관광사업
713 

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> 818
53.4%
관광사업 713
46.6%

Length

2024-04-18T05:14:51.476524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:51.548474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 818
53.4%
관광사업 713
46.6%

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1289 
일반주거지역
 
50
일반상업지역
 
46
준주거지역
 
42
상업지역
 
41
Other values (6)
 
63

Length

Max length6
Median length4
Mean length4.2096669
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> 1289
84.2%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.7%
상업지역 41
 
2.7%
근린상업지역 33
 
2.2%
주거지역 15
 
1.0%
준공업지역 9
 
0.6%
중심상업지역 3
 
0.2%
자연녹지지역 2
 
0.1%

Length

2024-04-18T05:14:51.640687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1289
84.2%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.7%
상업지역 41
 
2.7%
근린상업지역 33
 
2.2%
주거지역 15
 
1.0%
준공업지역 9
 
0.6%
중심상업지역 3
 
0.2%
자연녹지지역 2
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)12.7%
Missing1302
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean6.1353712
Minimum0
Maximum54
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:51.737719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile20.6
Maximum54
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.585421
Coefficient of variation (CV)1.2363426
Kurtosis13.22738
Mean6.1353712
Median Absolute Deviation (MAD)2
Skewness3.214401
Sum1405
Variance57.538612
MonotonicityNot monotonic
2024-04-18T05:14:51.830656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 33
 
2.2%
4 30
 
2.0%
2 30
 
2.0%
5 23
 
1.5%
0 19
 
1.2%
1 18
 
1.2%
6 18
 
1.2%
7 10
 
0.7%
10 9
 
0.6%
8 7
 
0.5%
Other values (19) 32
 
2.1%
(Missing) 1302
85.0%
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 size12.1 KiB
<NA>
1374 
기타
 
80
주택가주변
 
22
학교정화(상대)
 
21
아파트지역
 
17
Other values (3)
 
17

Length

Max length8
Median length4
Mean length4.0176355
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> 1374
89.7%
기타 80
 
5.2%
주택가주변 22
 
1.4%
학교정화(상대) 21
 
1.4%
아파트지역 17
 
1.1%
유흥업소밀집지역 10
 
0.7%
결혼예식장주변 4
 
0.3%
학교정화(절대) 3
 
0.2%

Length

2024-04-18T05:14:51.928930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:14:52.017946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1374
89.7%
기타 80
 
5.2%
주택가주변 22
 
1.4%
학교정화(상대 21
 
1.4%
아파트지역 17
 
1.1%
유흥업소밀집지역 10
 
0.7%
결혼예식장주변 4
 
0.3%
학교정화(절대 3
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

보험기관명
Categorical

Distinct32
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
518 
서울보증보험
334 
서울보증보험주식회사
318 
한국관광협회
91 
한국관광협회중앙회 여행공제회
91 
Other values (27)
179 

Length

Max length18
Median length16
Mean length7.085565
Min length4

Unique

Unique13 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 518
33.8%
서울보증보험 334
21.8%
서울보증보험주식회사 318
20.8%
한국관광협회 91
 
5.9%
한국관광협회중앙회 여행공제회 91
 
5.9%
한국관광협회중앙회 68
 
4.4%
서울보증보험(주) 27
 
1.8%
부산광역시관광협회 15
 
1.0%
한국관광협회중앙회여행공제회 10
 
0.7%
한국관광협회중앙회 관광공제회 10
 
0.7%
Other values (22) 49
 
3.2%

Length

2024-04-18T05:14:52.121445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 518
31.4%
서울보증보험 335
20.3%
서울보증보험주식회사 318
19.3%
한국관광협회중앙회 171
 
10.4%
여행공제회 94
 
5.7%
한국관광협회 93
 
5.6%
서울보증보험(주 27
 
1.6%
관광공제회 19
 
1.2%
부산광역시관광협회 15
 
0.9%
관광협회 13
 
0.8%
Other values (21) 45
 
2.7%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1253 
근린생활시설
184 
사무실
 
73
기타
 
6
교육연구시설
 
4
Other values (6)
 
11

Length

Max length12
Median length4
Mean length4.1933377
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1253
81.8%
근린생활시설 184
 
12.0%
사무실 73
 
4.8%
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

2024-04-18T05:14:52.219552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1253
81.8%
근린생활시설 184
 
12.0%
사무실 73
 
4.8%
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%
Missing1292
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean5.4811715
Minimum0
Maximum49
Zeros18
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:52.305515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile19.1
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.6917939
Coefficient of variation (CV)1.2208693
Kurtosis12.496424
Mean5.4811715
Median Absolute Deviation (MAD)2
Skewness3.0685162
Sum1310
Variance44.780106
MonotonicityNot monotonic
2024-04-18T05:14:52.395062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 50
 
3.3%
3 42
 
2.7%
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) 33
 
2.2%
(Missing) 1292
84.4%
ValueCountFrequency (%)
0 18
 
1.2%
1 20
 
1.3%
2 50
3.3%
3 42
2.7%
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%
Missing1393
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean1.384058
Minimum0
Maximum7
Zeros28
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:52.496046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4363501
Coefficient of variation (CV)1.0377818
Kurtosis3.344
Mean1.384058
Median Absolute Deviation (MAD)0
Skewness1.893374
Sum191
Variance2.0631017
MonotonicityNot monotonic
2024-04-18T05:14:52.591299image/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 2
 
0.1%
6 2
 
0.1%
7 1
 
0.1%
(Missing) 1393
91.0%
ValueCountFrequency (%)
0 28
 
1.8%
1 76
5.0%
2 17
 
1.1%
3 2
 
0.1%
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 2
 
0.1%
2 17
 
1.1%
1 76
5.0%
0 28
 
1.8%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

영문상호명
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing1461
Missing (%)95.4%
Memory size12.1 KiB
2024-04-18T05:14:52.799171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length18.1
Min length1

Characters and Unicode

Total characters1267
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

Unique68 ?
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 24
 
11.1%
travel 18
 
8.3%
co 16
 
7.4%
ltd 15
 
6.9%
co.,ltd 13
 
6.0%
agency 6
 
2.8%
inc 6
 
2.8%
service 5
 
2.3%
international 4
 
1.8%
co.ltd 4
 
1.8%
Other values (98) 106
48.8%
2024-04-18T05:14:53.116647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
11.6%
T 84
 
6.6%
L 61
 
4.8%
O 56
 
4.4%
A 56
 
4.4%
R 55
 
4.3%
E 54
 
4.3%
C 52
 
4.1%
o 50
 
3.9%
. 47
 
3.7%
Other values (47) 605
47.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 707
55.8%
Lowercase Letter 323
25.5%
Space Separator 147
 
11.6%
Other Punctuation 79
 
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 84
11.9%
L 61
 
8.6%
O 56
 
7.9%
A 56
 
7.9%
R 55
 
7.8%
E 54
 
7.6%
C 52
 
7.4%
I 44
 
6.2%
N 43
 
6.1%
U 31
 
4.4%
Other values (14) 171
24.2%
Lowercase Letter
ValueCountFrequency (%)
o 50
15.5%
r 30
9.3%
t 30
9.3%
a 27
 
8.4%
e 26
 
8.0%
d 22
 
6.8%
n 20
 
6.2%
l 18
 
5.6%
u 16
 
5.0%
c 16
 
5.0%
Other values (13) 68
21.1%
Decimal Number
ValueCountFrequency (%)
8 3
42.9%
0 2
28.6%
4 1
 
14.3%
2 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 47
59.5%
, 30
38.0%
& 2
 
2.5%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1030
81.3%
Common 237
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 84
 
8.2%
L 61
 
5.9%
O 56
 
5.4%
A 56
 
5.4%
R 55
 
5.3%
E 54
 
5.2%
C 52
 
5.0%
o 50
 
4.9%
I 44
 
4.3%
N 43
 
4.2%
Other values (37) 475
46.1%
Common
ValueCountFrequency (%)
147
62.0%
. 47
 
19.8%
, 30
 
12.7%
8 3
 
1.3%
( 2
 
0.8%
0 2
 
0.8%
& 2
 
0.8%
) 2
 
0.8%
4 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
 
11.6%
T 84
 
6.6%
L 61
 
4.8%
O 56
 
4.4%
A 56
 
4.4%
R 55
 
4.3%
E 54
 
4.3%
C 52
 
4.1%
o 50
 
3.9%
. 47
 
3.7%
Other values (47) 605
47.8%

영문상호주소
Categorical

IMBALANCE 

Distinct24
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1464 
Overseas travel business
 
21
Oversea Travel Business
 
7
OVERSEAS TRAVEL BUSINESS
 
7
OVERSEAS TRAVEL AGENCY
 
6
Other values (19)
 
26

Length

Max length27
Median length4
Mean length4.8458524
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> 1464
95.6%
Overseas travel business 21
 
1.4%
Oversea Travel Business 7
 
0.5%
OVERSEAS TRAVEL BUSINESS 7
 
0.5%
OVERSEAS TRAVEL AGENCY 6
 
0.4%
Overseas Travel Agency 3
 
0.2%
Overseas Travel Business 3
 
0.2%
Domestic Traval Agency 2
 
0.1%
International Travel Agency 2
 
0.1%
Foreign Travel Agency 2
 
0.1%
Other values (14) 14
 
0.9%

Length

2024-04-18T05:14:53.223415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1464
87.9%
travel 62
 
3.7%
business 44
 
2.6%
overseas 43
 
2.6%
agency 19
 
1.1%
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 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct247
Distinct (%)75.5%
Missing1204
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean221.94483
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:53.318142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.48
median46
Q388.9
95-th percentile223.18
Maximum43511
Range43511
Interquartile range (IQR)61.42

Descriptive statistics

Standard deviation2416.9567
Coefficient of variation (CV)10.889898
Kurtosis318.51691
Mean221.94483
Median Absolute Deviation (MAD)26
Skewness17.747307
Sum72575.96
Variance5841679.5
MonotonicityNot monotonic
2024-04-18T05:14:53.420887image/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%
42.05 4
 
0.3%
33.14 4
 
0.3%
30.0 4
 
0.3%
39.6 4
 
0.3%
49.5 3
 
0.2%
Other values (237) 262
 
17.1%
(Missing) 1204
78.6%
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 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

기획여행보험시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing1522
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20187391
Minimum20160718
Maximum20201113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:53.510770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160718
5-th percentile20164795
Q120180208
median20190901
Q320200106
95-th percentile20200911
Maximum20201113
Range40395
Interquartile range (IQR)19898

Descriptive statistics

Standard deviation14131.012
Coefficient of variation (CV)0.00069999201
Kurtosis-0.035880156
Mean20187391
Median Absolute Deviation (MAD)9708
Skewness-0.95321138
Sum1.8168652 × 108
Variance1.996855 × 108
MonotonicityNot monotonic
2024-04-18T05:14:53.615343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
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) 1522
99.4%
ValueCountFrequency (%)
20160718 1
0.1%
20170910 1
0.1%
20180208 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%
20180208 1
0.1%
20170910 1
0.1%
20160718 1
0.1%

기획여행보험종료일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing1522
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20198493
Minimum20170718
Maximum20211113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:53.712357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170718
5-th percentile20178514
Q120190909
median20200831
Q320210105
95-th percentile20210911
Maximum20211113
Range40395
Interquartile range (IQR)19196

Descriptive statistics

Standard deviation13021.079
Coefficient of variation (CV)0.00064465597
Kurtosis1.6564104
Mean20198493
Median Absolute Deviation (MAD)9777
Skewness-1.240113
Sum1.8178644 × 108
Variance1.6954851 × 108
MonotonicityNot monotonic
2024-04-18T05:14:53.804679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
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) 1522
99.4%
ValueCountFrequency (%)
20170718 1
0.1%
20190208 1
0.1%
20190909 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%
20190909 1
0.1%
20190208 1
0.1%
20170718 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED 

Distinct132
Distinct (%)13.3%
Missing536
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean96873046
Minimum60000
Maximum6.5122084 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:53.913503image/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 deviation2.1337515 × 108
Coefficient of variation (CV)2.2026266
Kurtosis824.52882
Mean96873046
Median Absolute Deviation (MAD)40000000
Skewness27.54837
Sum9.6388681 × 1010
Variance4.5528954 × 1016
MonotonicityNot monotonic
2024-04-18T05:14:54.014817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 324
21.2%
60000000 184
 
12.0%
150000000 118
 
7.7%
30000000 94
 
6.1%
90000000 53
 
3.5%
50000000 25
 
1.6%
45000000 22
 
1.4%
70000000 7
 
0.5%
63000000 6
 
0.4%
200000000 6
 
0.4%
Other values (122) 156
 
10.2%
(Missing) 536
35.0%
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 94
6.1%
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 

Distinct771
Distinct (%)72.5%
Missing468
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean20181270
Minimum20021021
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:54.448042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110810
Q120171167
median20191027
Q320200622
95-th percentile20210113
Maximum20210331
Range189310
Interquartile range (IQR)29455

Descriptive statistics

Standard deviation31865.324
Coefficient of variation (CV)0.0015789553
Kurtosis5.0890562
Mean20181270
Median Absolute Deviation (MAD)9796
Skewness-2.1581633
Sum2.145269 × 1010
Variance1.0153989 × 109
MonotonicityNot monotonic
2024-04-18T05:14:54.557524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200401 6
 
0.4%
20200201 6
 
0.4%
20191125 5
 
0.3%
20201101 5
 
0.3%
20200701 5
 
0.3%
20181101 5
 
0.3%
20200617 4
 
0.3%
20190801 4
 
0.3%
20191027 4
 
0.3%
20190705 4
 
0.3%
Other values (761) 1015
66.3%
(Missing) 468
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 (%)
20210331 1
 
0.1%
20210324 1
 
0.1%
20210323 2
0.1%
20210321 1
 
0.1%
20210320 1
 
0.1%
20210316 4
0.3%
20210315 1
 
0.1%
20210314 1
 
0.1%
20210312 1
 
0.1%
20210311 1
 
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct780
Distinct (%)73.4%
Missing468
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean20191483
Minimum20031021
Maximum20240301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:54.668307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20120837
Q120181222
median20201101
Q320210625
95-th percentile20220117
Maximum20240301
Range209280
Interquartile range (IQR)29403.5

Descriptive statistics

Standard deviation31657.797
Coefficient of variation (CV)0.0015678787
Kurtosis4.9666182
Mean20191483
Median Absolute Deviation (MAD)9724
Skewness-2.1340531
Sum2.1463547 × 1010
Variance1.0022161 × 109
MonotonicityNot monotonic
2024-04-18T05:14:54.774186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210131 7
 
0.5%
20201031 6
 
0.4%
20210331 6
 
0.4%
20220315 5
 
0.3%
20211031 5
 
0.3%
20210930 5
 
0.3%
20200731 5
 
0.3%
20210630 5
 
0.3%
20211130 5
 
0.3%
20210701 4
 
0.3%
Other values (770) 1010
66.0%
(Missing) 468
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 (%)
20240301 1
 
0.1%
20220404 1
 
0.1%
20220330 1
 
0.1%
20220323 1
 
0.1%
20220322 1
 
0.1%
20220321 2
 
0.1%
20220319 1
 
0.1%
20220315 5
0.3%
20220314 2
 
0.1%
20220312 1
 
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)37.6%
Missing1204
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean221.97554
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2024-04-18T05:14:54.883669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median46
Q389
95-th percentile223.3
Maximum43511
Range43511
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2416.9562
Coefficient of variation (CV)10.88839
Kurtosis318.51623
Mean221.97554
Median Absolute Deviation (MAD)26
Skewness17.747282
Sum72586
Variance5841677.4
MonotonicityNot monotonic
2024-04-18T05:14:54.999353image/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%
27 5
 
0.3%
99 5
 
0.3%
Other values (113) 225
 
14.7%
(Missing) 1204
78.6%
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 

Missing1531
Missing (%)100.0%
Memory size13.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국외여행업03_12_02_P3250000CDFI226002198900000219891229<NA>2휴업2휴업<NA>2021010120211231<NA>469-7731<NA>600815부산광역시 중구 중앙동4가 53-30 1층부산광역시 중구 중앙대로81번길 2 (중앙동4가,1층)<NA>(주)팔성국제관광20210311140312U2021-03-13 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>2021030420210903<NA>468-7555<NA>600100부산광역시 중구 대창동2가 11-7부산광역시 중구 중앙대로 151 (대창동2가)<NA>(주)남태평양관광20210304141858U2021-03-06 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_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>
56국외여행업03_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>
67국외여행업03_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>
78국외여행업03_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>
89국외여행업03_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>
910국외여행업03_12_02_P3250000CDFI226002200100000820010713<NA>3폐업3폐업20040723<NA><NA><NA>463-1223<NA>600013부산광역시 중구 중앙동3가 12-3번지부산광역시 중구 40계단길 10 (중앙동3가)<NA>(주)동경여행사20040723135800I2018-08-31 23:59:59.0<NA>385510.862776180201.349002국외여행업관광사업<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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
15211522국외여행업03_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>
15221523국외여행업03_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>
15231524국외여행업03_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>
15241525국외여행업03_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>
15251526국외여행업03_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>
15261527국외여행업03_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>
15271528국외여행업03_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>
15281529국외여행업03_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>
15291530국외여행업03_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>
15301531국외여행업03_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>