Overview

Dataset statistics

Number of variables64
Number of observations1526
Missing cells51384
Missing cells (%)52.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory830.2 KiB
Average record size in memory557.1 B

Variable types

Numeric23
Categorical13
Text6
Unsupported21
DateTime1

Dataset

Description2021-04-01
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 (69.0%)Imbalance
주변환경명 is highly imbalanced (76.8%)Imbalance
건물용도명 is highly imbalanced (72.9%)Imbalance
영문상호주소 is highly imbalanced (90.8%)Imbalance
인허가취소일자 has 1460 (95.7%) missing valuesMissing
폐업일자 has 832 (54.5%) missing valuesMissing
휴업시작일자 has 1507 (98.8%) missing valuesMissing
휴업종료일자 has 1507 (98.8%) missing valuesMissing
재개업일자 has 1526 (100.0%) missing valuesMissing
소재지전화 has 358 (23.5%) missing valuesMissing
소재지면적 has 1526 (100.0%) missing valuesMissing
소재지우편번호 has 690 (45.2%) missing valuesMissing
도로명전체주소 has 73 (4.8%) missing valuesMissing
도로명우편번호 has 491 (32.2%) missing valuesMissing
업태구분명 has 1526 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.1%) missing valuesMissing
좌표정보(y) has 48 (3.1%) missing valuesMissing
총층수 has 1297 (85.0%) missing valuesMissing
제작취급품목내용 has 1526 (100.0%) missing valuesMissing
지상층수 has 1287 (84.3%) missing valuesMissing
지하층수 has 1388 (91.0%) missing valuesMissing
객실수 has 1526 (100.0%) missing valuesMissing
건축연면적 has 1526 (100.0%) missing valuesMissing
영문상호명 has 1456 (95.4%) missing valuesMissing
선박총톤수 has 1526 (100.0%) missing valuesMissing
선박척수 has 1526 (100.0%) missing valuesMissing
선박제원 has 1526 (100.0%) missing valuesMissing
무대면적 has 1526 (100.0%) missing valuesMissing
좌석수 has 1526 (100.0%) missing valuesMissing
기념품종류 has 1526 (100.0%) missing valuesMissing
회의실별동시수용인원 has 1526 (100.0%) missing valuesMissing
시설면적 has 1199 (78.6%) missing valuesMissing
놀이기구수내역 has 1526 (100.0%) missing valuesMissing
놀이시설수 has 1526 (100.0%) missing valuesMissing
방송시설유무 has 1526 (100.0%) missing valuesMissing
발전시설유무 has 1526 (100.0%) missing valuesMissing
의무실유무 has 1526 (100.0%) missing valuesMissing
안내소유무 has 1526 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1517 (99.4%) missing valuesMissing
기획여행보험종료일자 has 1517 (99.4%) missing valuesMissing
자본금 has 534 (35.0%) missing valuesMissing
보험시작일자 has 465 (30.5%) missing valuesMissing
보험종료일자 has 465 (30.5%) missing valuesMissing
부대시설내역 has 1526 (100.0%) missing valuesMissing
시설규모 has 1199 (78.6%) missing valuesMissing
Unnamed: 63 has 1526 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 27.51463543)Skewed
번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 19 (1.2%) zerosZeros
지상층수 has 18 (1.2%) zerosZeros
지하층수 has 28 (1.8%) zerosZeros
시설면적 has 19 (1.2%) zerosZeros
시설규모 has 19 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-17 20:15:26.659661
Analysis finished2024-04-17 20:15:27.671128
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1526
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean763.5
Minimum1
Maximum1526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:27.725351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.25
Q1382.25
median763.5
Q31144.75
95-th percentile1449.75
Maximum1526
Range1525
Interquartile range (IQR)762.5

Descriptive statistics

Standard deviation440.66257
Coefficient of variation (CV)0.57716119
Kurtosis-1.2
Mean763.5
Median Absolute Deviation (MAD)381.5
Skewness0
Sum1165101
Variance194183.5
MonotonicityStrictly increasing
2024-04-18T05:15:27.834269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1016 1
 
0.1%
1025 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
1020 1
 
0.1%
1019 1
 
0.1%
1018 1
 
0.1%
Other values (1516) 1516
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 (%)
1526 1
0.1%
1525 1
0.1%
1524 1
0.1%
1523 1
0.1%
1522 1
0.1%
1521 1
0.1%
1520 1
0.1%
1519 1
0.1%
1518 1
0.1%
1517 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
국외여행업
1526 

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 1526
100.0%

Length

2024-04-18T05:15:27.951400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:28.043954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1526
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
03_12_02_P
1526 

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 1526
100.0%

Length

2024-04-18T05:15:28.115821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:28.184876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_02_p 1526
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3304429.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:28.264711image/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 deviation41901.164
Coefficient of variation (CV)0.012680301
Kurtosis-0.80421175
Mean3304429.9
Median Absolute Deviation (MAD)30000
Skewness0.47795659
Sum5.04256 × 109
Variance1.7557075 × 109
MonotonicityNot monotonic
2024-04-18T05:15:28.355604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 302
19.8%
3250000 257
16.8%
3270000 196
12.8%
3330000 163
10.7%
3370000 104
 
6.8%
3310000 103
 
6.7%
3300000 102
 
6.7%
3380000 77
 
5.0%
3350000 56
 
3.7%
3340000 38
 
2.5%
Other values (6) 128
8.4%
ValueCountFrequency (%)
3250000 257
16.8%
3260000 22
 
1.4%
3270000 196
12.8%
3280000 9
 
0.6%
3290000 302
19.8%
3300000 102
 
6.7%
3310000 103
 
6.7%
3320000 34
 
2.2%
3330000 163
10.7%
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 56
 
3.7%
3340000 38
 
2.5%
3330000 163
10.7%
3320000 34
 
2.2%
3310000 103
6.7%
Distinct466
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:15:28.529942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30520
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)9.8%

Sample

1st rowCDFI2260021989000002
2nd rowCDFI2260021997000004
3rd rowCDFI2260022016000014
4th rowCDFI2260022016000002
5th rowCDFI2260022017000017
ValueCountFrequency (%)
cdfi2260022017000002 15
 
1.0%
cdfi2260022019000001 14
 
0.9%
cdfi2260022017000001 14
 
0.9%
cdfi2260022020000001 13
 
0.9%
cdfi2260022001000001 13
 
0.9%
cdfi2260022016000002 12
 
0.8%
cdfi2260022019000002 12
 
0.8%
cdfi2260022020000002 11
 
0.7%
cdfi2260022013000001 11
 
0.7%
cdfi2260022014000001 11
 
0.7%
Other values (456) 1400
91.7%
2024-04-18T05:15:28.785854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12398
40.6%
2 6501
21.3%
6 1803
 
5.9%
1 1700
 
5.6%
C 1526
 
5.0%
D 1526
 
5.0%
F 1526
 
5.0%
I 1526
 
5.0%
9 533
 
1.7%
3 315
 
1.0%
Other values (4) 1166
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24416
80.0%
Uppercase Letter 6104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12398
50.8%
2 6501
26.6%
6 1803
 
7.4%
1 1700
 
7.0%
9 533
 
2.2%
3 315
 
1.3%
7 312
 
1.3%
4 308
 
1.3%
5 295
 
1.2%
8 251
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1526
25.0%
D 1526
25.0%
F 1526
25.0%
I 1526
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24416
80.0%
Latin 6104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12398
50.8%
2 6501
26.6%
6 1803
 
7.4%
1 1700
 
7.0%
9 533
 
2.2%
3 315
 
1.3%
7 312
 
1.3%
4 308
 
1.3%
5 295
 
1.2%
8 251
 
1.0%
Latin
ValueCountFrequency (%)
C 1526
25.0%
D 1526
25.0%
F 1526
25.0%
I 1526
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12398
40.6%
2 6501
21.3%
6 1803
 
5.9%
1 1700
 
5.6%
C 1526
 
5.0%
D 1526
 
5.0%
F 1526
 
5.0%
I 1526
 
5.0%
9 533
 
1.7%
3 315
 
1.0%
Other values (4) 1166
 
3.8%

인허가일자
Real number (ℝ)

Distinct1339
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090825
Minimum19840723
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:28.906939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840723
5-th percentile19970803
Q120041110
median20095668
Q320150426
95-th percentile20190312
Maximum20201224
Range360501
Interquartile range (IQR)109315

Descriptive statistics

Standard deviation68299.526
Coefficient of variation (CV)0.0033995382
Kurtosis-0.42229223
Mean20090825
Median Absolute Deviation (MAD)54698
Skewness-0.43303215
Sum3.0658598 × 1010
Variance4.6648252 × 109
MonotonicityNot monotonic
2024-04-18T05:15:29.305243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170126 5
 
0.3%
20190328 4
 
0.3%
20110506 3
 
0.2%
20120709 3
 
0.2%
20070411 3
 
0.2%
20080312 3
 
0.2%
20090213 3
 
0.2%
20131230 3
 
0.2%
20000922 3
 
0.2%
20050607 3
 
0.2%
Other values (1329) 1493
97.8%
ValueCountFrequency (%)
19840723 1
0.1%
19840924 1
0.1%
19870814 1
0.1%
19890316 1
0.1%
19890421 1
0.1%
19891229 1
0.1%
19900112 1
0.1%
19910325 1
0.1%
19910530 1
0.1%
19911001 1
0.1%
ValueCountFrequency (%)
20201224 1
0.1%
20200908 1
0.1%
20200730 1
0.1%
20200618 1
0.1%
20200617 1
0.1%
20200611 1
0.1%
20200529 1
0.1%
20200513 1
0.1%
20200428 1
0.1%
20200413 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)83.3%
Missing1460
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20135459
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:29.415196image/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
2024-04-18T05:15:29.526148image/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) 1460
95.7%
ValueCountFrequency (%)
20030822 1
 
0.1%
20040902 1
 
0.1%
20061011 1
 
0.1%
20070123 1
 
0.1%
20070413 1
 
0.1%
20070723 1
 
0.1%
20080104 1
 
0.1%
20080509 1
 
0.1%
20080813 1
 
0.1%
20090722 3
0.2%
ValueCountFrequency (%)
20200226 3
0.2%
20191104 1
 
0.1%
20190515 2
0.1%
20190305 3
0.2%
20180921 1
 
0.1%
20180920 1
 
0.1%
20180917 1
 
0.1%
20180503 1
 
0.1%
20180117 1
 
0.1%
20170907 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
1
722 
3
692 
4
92 
2
 
20

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 (%)
1 722
47.3%
3 692
45.3%
4 92
 
6.0%
2 20
 
1.3%

Length

2024-04-18T05:15:29.642997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:29.742833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 722
47.3%
3 692
45.3%
4 92
 
6.0%
2 20
 
1.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
영업/정상
722 
폐업
692 
취소/말소/만료/정지/중지
92 
휴업
 
20

Length

Max length14
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 722
47.3%
폐업 692
45.3%
취소/말소/만료/정지/중지 92
 
6.0%
휴업 20
 
1.3%

Length

2024-04-18T05:15:29.839331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:29.921618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 722
47.3%
폐업 692
45.3%
취소/말소/만료/정지/중지 92
 
6.0%
휴업 20
 
1.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4095675
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:29.990394image/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 deviation7.3351174
Coefficient of variation (CV)0.77953821
Kurtosis1.9732777
Mean9.4095675
Median Absolute Deviation (MAD)10
Skewness1.303995
Sum14359
Variance53.803948
MonotonicityNot monotonic
2024-04-18T05:15:30.069094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 722
47.3%
3 692
45.3%
31 67
 
4.4%
2 20
 
1.3%
30 19
 
1.2%
35 6
 
0.4%
ValueCountFrequency (%)
2 20
 
1.3%
3 692
45.3%
13 722
47.3%
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%
13 722
47.3%
3 692
45.3%
2 20
 
1.3%
Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
영업중
722 
폐업
692 
등록취소
 
67
휴업
 
20
허가취소
 
19

Length

Max length4
Median length3
Mean length2.593709
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 722
47.3%
폐업 692
45.3%
등록취소 67
 
4.4%
휴업 20
 
1.3%
허가취소 19
 
1.2%
직권말소 6
 
0.4%

Length

2024-04-18T05:15:30.169822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:30.264177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 722
47.3%
폐업 692
45.3%
등록취소 67
 
4.4%
휴업 20
 
1.3%
허가취소 19
 
1.2%
직권말소 6
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct624
Distinct (%)89.9%
Missing832
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean20121154
Minimum19990403
Maximum20210216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:30.364974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990403
5-th percentile20020617
Q120080261
median20130322
Q320171023
95-th percentile20200756
Maximum20210216
Range219813
Interquartile range (IQR)90762

Descriptive statistics

Standard deviation57424.506
Coefficient of variation (CV)0.002853937
Kurtosis-0.89592865
Mean20121154
Median Absolute Deviation (MAD)49513.5
Skewness-0.33345844
Sum1.3964081 × 1010
Variance3.2975739 × 109
MonotonicityNot monotonic
2024-04-18T05:15:30.473135image/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%
20040524 2
 
0.1%
Other values (614) 660
43.3%
(Missing) 832
54.5%
ValueCountFrequency (%)
19990403 1
 
0.1%
19990614 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991006 1
 
0.1%
19991104 1
 
0.1%
19991222 1
 
0.1%
20000111 8
0.5%
20000128 1
 
0.1%
20000609 1
 
0.1%
ValueCountFrequency (%)
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%
20201229 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing1507
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20194896
Minimum20150521
Maximum20210201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:30.566978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150521
5-th percentile20159701
Q120195506
median20200820
Q320201017
95-th percentile20210111
Maximum20210201
Range59680
Interquartile range (IQR)5511

Descriptive statistics

Standard deviation15430.624
Coefficient of variation (CV)0.00076408534
Kurtosis3.8378711
Mean20194896
Median Absolute Deviation (MAD)381
Skewness-2.0455806
Sum3.8370302 × 108
Variance2.3810415 × 108
MonotonicityNot monotonic
2024-04-18T05:15:30.652453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20201201 2
 
0.1%
20200821 1
 
0.1%
20200311 1
 
0.1%
20201026 1
 
0.1%
20200801 1
 
0.1%
20200824 1
 
0.1%
20200526 1
 
0.1%
20150521 1
 
0.1%
20201008 1
 
0.1%
20190701 1
 
0.1%
Other values (8) 8
 
0.5%
(Missing) 1507
98.8%
ValueCountFrequency (%)
20150521 1
0.1%
20160721 1
0.1%
20180101 1
0.1%
20190415 1
0.1%
20190701 1
0.1%
20200311 1
0.1%
20200526 1
0.1%
20200801 1
0.1%
20200814 1
0.1%
20200820 1
0.1%
ValueCountFrequency (%)
20210201 1
0.1%
20210101 1
0.1%
20201201 2
0.1%
20201026 1
0.1%
20201008 1
0.1%
20200905 1
0.1%
20200824 1
0.1%
20200821 1
0.1%
20200820 1
0.1%
20200814 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing1507
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20204392
Minimum20160520
Maximum20260131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:30.745497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160520
5-th percentile20161160
Q120200730
median20210407
Q320210822
95-th percentile20216030
Maximum20260131
Range99611
Interquartile range (IQR)10091

Descriptive statistics

Standard deviation21224.583
Coefficient of variation (CV)0.0010504935
Kurtosis2.991891
Mean20204392
Median Absolute Deviation (MAD)618
Skewness-0.023493724
Sum3.8388345 × 108
Variance4.504829 × 108
MonotonicityNot monotonic
2024-04-18T05:15:30.834206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20211130 2
 
0.1%
20210120 1
 
0.1%
20200831 1
 
0.1%
20211025 1
 
0.1%
20210731 1
 
0.1%
20210824 1
 
0.1%
20210526 1
 
0.1%
20160520 1
 
0.1%
20210407 1
 
0.1%
20200630 1
 
0.1%
Other values (8) 8
 
0.5%
(Missing) 1507
98.8%
ValueCountFrequency (%)
20160520 1
0.1%
20161231 1
0.1%
20181231 1
0.1%
20191015 1
0.1%
20200630 1
0.1%
20200831 1
0.1%
20210120 1
0.1%
20210213 1
0.1%
20210304 1
0.1%
20210407 1
0.1%
ValueCountFrequency (%)
20260131 1
0.1%
20211130 2
0.1%
20211025 1
0.1%
20210824 1
0.1%
20210819 1
0.1%
20210731 1
0.1%
20210630 1
0.1%
20210526 1
0.1%
20210407 1
0.1%
20210304 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

소재지전화
Text

MISSING 

Distinct1123
Distinct (%)96.1%
Missing358
Missing (%)23.5%
Memory size12.1 KiB
2024-04-18T05:15:31.030147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.719178
Min length1

Characters and Unicode

Total characters12520
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

Unique1082 ?
Unique (%)92.6%

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%
051-441-5757 2
 
0.2%
051-465-7111 2
 
0.2%
966-2003 2
 
0.2%
070-4848-4700 2
 
0.2%
868-3131 2
 
0.2%
051-816-0019 2
 
0.2%
Other values (1141) 1175
95.4%
2024-04-18T05:15:31.339524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2007
16.0%
- 1789
14.3%
1 1618
12.9%
5 1566
12.5%
4 962
7.7%
6 953
7.6%
8 837
6.7%
7 794
 
6.3%
2 793
 
6.3%
3 619
 
4.9%
Other values (8) 582
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10622
84.8%
Dash Punctuation 1789
 
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 2007
18.9%
1 1618
15.2%
5 1566
14.7%
4 962
9.1%
6 953
9.0%
8 837
7.9%
7 794
 
7.5%
2 793
 
7.5%
3 619
 
5.8%
9 473
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
, 4
36.4%
' 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 1789
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 12520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2007
16.0%
- 1789
14.3%
1 1618
12.9%
5 1566
12.5%
4 962
7.7%
6 953
7.6%
8 837
6.7%
7 794
 
6.3%
2 793
 
6.3%
3 619
 
4.9%
Other values (8) 582
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2007
16.0%
- 1789
14.3%
1 1618
12.9%
5 1566
12.5%
4 962
7.7%
6 953
7.6%
8 837
6.7%
7 794
 
6.3%
2 793
 
6.3%
3 619
 
4.9%
Other values (8) 582
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)40.9%
Missing690
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean608458.38
Minimum600011
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:31.454104image/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
2024-04-18T05:15:31.567432image/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
45.0%
(Missing) 690
45.2%
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%
Distinct1415
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:15:31.808172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length26.524902
Min length12

Characters and Unicode

Total characters40477
Distinct characters401
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1332 ?
Unique (%)87.3%

Sample

1st row부산광역시 중구 중앙동4가 53-30번지 1층
2nd row부산광역시 중구 대창동2가 11-7
3rd row부산광역시 중구 대창동1가 51
4th row부산광역시 중구 중앙동4가 31-1번지
5th row부산광역시 중구 중앙동4가 23-1 1303호
ValueCountFrequency (%)
부산광역시 1526
 
19.7%
부산진구 303
 
3.9%
중구 256
 
3.3%
동구 197
 
2.5%
해운대구 162
 
2.1%
초량동 143
 
1.8%
부전동 124
 
1.6%
중앙동4가 123
 
1.6%
연제구 104
 
1.3%
남구 103
 
1.3%
Other values (2072) 4717
60.8%
2024-04-18T05:15:32.168778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6235
 
15.4%
2047
 
5.1%
1 2006
 
5.0%
1985
 
4.9%
1983
 
4.9%
1573
 
3.9%
1569
 
3.9%
1537
 
3.8%
1533
 
3.8%
- 1316
 
3.3%
Other values (391) 18693
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24030
59.4%
Decimal Number 8651
 
21.4%
Space Separator 6235
 
15.4%
Dash Punctuation 1316
 
3.3%
Uppercase Letter 149
 
0.4%
Lowercase Letter 42
 
0.1%
Open Punctuation 20
 
< 0.1%
Close Punctuation 20
 
< 0.1%
Other Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2047
 
8.5%
1985
 
8.3%
1983
 
8.3%
1573
 
6.5%
1569
 
6.5%
1537
 
6.4%
1533
 
6.4%
1061
 
4.4%
1013
 
4.2%
532
 
2.2%
Other values (335) 9197
38.3%
Uppercase Letter
ValueCountFrequency (%)
S 19
12.8%
B 15
10.1%
A 14
 
9.4%
K 14
 
9.4%
T 14
 
9.4%
C 9
 
6.0%
E 8
 
5.4%
O 7
 
4.7%
Y 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%
m 2
 
4.8%
d 2
 
4.8%
p 2
 
4.8%
a 2
 
4.8%
x 2
 
4.8%
n 2
 
4.8%
Other values (8) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 2006
23.2%
2 1158
13.4%
3 963
11.1%
4 918
10.6%
0 854
9.9%
5 670
 
7.7%
8 588
 
6.8%
7 563
 
6.5%
6 527
 
6.1%
9 404
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 8
57.1%
, 5
35.7%
@ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
6235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24030
59.4%
Common 16256
40.2%
Latin 191
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2047
 
8.5%
1985
 
8.3%
1983
 
8.3%
1573
 
6.5%
1569
 
6.5%
1537
 
6.4%
1533
 
6.4%
1061
 
4.4%
1013
 
4.2%
532
 
2.2%
Other values (335) 9197
38.3%
Latin
ValueCountFrequency (%)
S 19
 
9.9%
B 15
 
7.9%
A 14
 
7.3%
K 14
 
7.3%
T 14
 
7.3%
e 10
 
5.2%
C 9
 
4.7%
E 8
 
4.2%
O 7
 
3.7%
Y 6
 
3.1%
Other values (29) 75
39.3%
Common
ValueCountFrequency (%)
6235
38.4%
1 2006
 
12.3%
- 1316
 
8.1%
2 1158
 
7.1%
3 963
 
5.9%
4 918
 
5.6%
0 854
 
5.3%
5 670
 
4.1%
8 588
 
3.6%
7 563
 
3.5%
Other values (7) 985
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24030
59.4%
ASCII 16447
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6235
37.9%
1 2006
 
12.2%
- 1316
 
8.0%
2 1158
 
7.0%
3 963
 
5.9%
4 918
 
5.6%
0 854
 
5.2%
5 670
 
4.1%
8 588
 
3.6%
7 563
 
3.4%
Other values (46) 1176
 
7.2%
Hangul
ValueCountFrequency (%)
2047
 
8.5%
1985
 
8.3%
1983
 
8.3%
1573
 
6.5%
1569
 
6.5%
1537
 
6.4%
1533
 
6.4%
1061
 
4.4%
1013
 
4.2%
532
 
2.2%
Other values (335) 9197
38.3%

도로명전체주소
Text

MISSING 

Distinct1400
Distinct (%)96.4%
Missing73
Missing (%)4.8%
Memory size12.1 KiB
2024-04-18T05:15:32.428536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length33.992429
Min length20

Characters and Unicode

Total characters49391
Distinct characters423
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

Unique1356 ?
Unique (%)93.3%

Sample

1st row부산광역시 중구 중앙대로81번길 2 (중앙동4가,1층)
2nd row부산광역시 중구 중앙대로 151 (대창동2가)
3rd row부산광역시 중구 해관로 89, 10층 8호 (대창동1가, 중앙빌딩)
4th row부산광역시 중구 중앙대로81번길 3 (중앙동4가)
5th row부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)
ValueCountFrequency (%)
부산광역시 1453
 
15.6%
부산진구 286
 
3.1%
중구 247
 
2.7%
중앙대로 242
 
2.6%
동구 176
 
1.9%
해운대구 156
 
1.7%
2층 125
 
1.3%
연제구 103
 
1.1%
남구 102
 
1.1%
동래구 100
 
1.1%
Other values (2057) 6311
67.9%
2024-04-18T05:15:32.805931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8161
 
16.5%
2038
 
4.1%
1997
 
4.0%
1912
 
3.9%
1 1786
 
3.6%
, 1618
 
3.3%
1549
 
3.1%
1538
 
3.1%
1490
 
3.0%
1461
 
3.0%
Other values (413) 25841
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28445
57.6%
Space Separator 8161
 
16.5%
Decimal Number 7816
 
15.8%
Other Punctuation 1624
 
3.3%
Close Punctuation 1459
 
3.0%
Open Punctuation 1459
 
3.0%
Dash Punctuation 192
 
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 (%)
2038
 
7.2%
1997
 
7.0%
1912
 
6.7%
1549
 
5.4%
1538
 
5.4%
1490
 
5.2%
1461
 
5.1%
1455
 
5.1%
1001
 
3.5%
847
 
3.0%
Other values (356) 13157
46.3%
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%
H 6
 
3.3%
Other values (12) 39
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 13
26.5%
o 4
 
8.2%
l 4
 
8.2%
i 4
 
8.2%
s 2
 
4.1%
n 2
 
4.1%
u 2
 
4.1%
b 2
 
4.1%
w 2
 
4.1%
d 2
 
4.1%
Other values (8) 12
24.5%
Decimal Number
ValueCountFrequency (%)
1 1786
22.9%
2 1151
14.7%
3 938
12.0%
0 912
11.7%
4 693
 
8.9%
5 552
 
7.1%
6 506
 
6.5%
7 472
 
6.0%
8 406
 
5.2%
9 400
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 1618
99.6%
/ 6
 
0.4%
Space Separator
ValueCountFrequency (%)
8161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28445
57.6%
Common 20714
41.9%
Latin 232
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2038
 
7.2%
1997
 
7.0%
1912
 
6.7%
1549
 
5.4%
1538
 
5.4%
1490
 
5.2%
1461
 
5.1%
1455
 
5.1%
1001
 
3.5%
847
 
3.0%
Other values (356) 13157
46.3%
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 (%)
8161
39.4%
1 1786
 
8.6%
, 1618
 
7.8%
) 1459
 
7.0%
( 1459
 
7.0%
2 1151
 
5.6%
3 938
 
4.5%
0 912
 
4.4%
4 693
 
3.3%
5 552
 
2.7%
Other values (7) 1985
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28445
57.6%
ASCII 20946
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8161
39.0%
1 1786
 
8.5%
, 1618
 
7.7%
) 1459
 
7.0%
( 1459
 
7.0%
2 1151
 
5.5%
3 938
 
4.5%
0 912
 
4.4%
4 693
 
3.3%
5 552
 
2.6%
Other values (47) 2217
 
10.6%
Hangul
ValueCountFrequency (%)
2038
 
7.2%
1997
 
7.0%
1912
 
6.7%
1549
 
5.4%
1538
 
5.4%
1490
 
5.2%
1461
 
5.1%
1455
 
5.1%
1001
 
3.5%
847
 
3.0%
Other values (356) 13157
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct508
Distinct (%)49.1%
Missing491
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean104427.47
Minimum46007
Maximum619960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:32.913959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46007
5-th percentile46525.7
Q147357
median48117
Q348924
95-th percentile612040
Maximum619960
Range573953
Interquartile range (IQR)1567

Descriptive statistics

Standard deviation168952.28
Coefficient of variation (CV)1.6178911
Kurtosis5.0981565
Mean104427.47
Median Absolute Deviation (MAD)807
Skewness2.6620962
Sum1.0808243 × 108
Variance2.8544871 × 1010
MonotonicityNot monotonic
2024-04-18T05:15:33.014526image/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%
48792 15
 
1.0%
48821 14
 
0.9%
48930 14
 
0.9%
48508 13
 
0.9%
48741 12
 
0.8%
48060 12
 
0.8%
48092 12
 
0.8%
Other values (498) 873
57.2%
(Missing) 491
32.2%
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%
Distinct1488
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-04-18T05:15:33.241073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length8.3204456
Min length2

Characters and Unicode

Total characters12697
Distinct characters527
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1450 ?
Unique (%)95.0%

Sample

1st row(주)팔성국제관광
2nd row(주)남태평양관광
3rd rowPMP 투어
4th row파초여행(주)
5th row수트래블
ValueCountFrequency (%)
주식회사 95
 
5.2%
여행사 35
 
1.9%
투어 22
 
1.2%
22
 
1.2%
여행 11
 
0.6%
tour 11
 
0.6%
부산 4
 
0.2%
협동조합 4
 
0.2%
트래블 4
 
0.2%
월드투어 3
 
0.2%
Other values (1563) 1632
88.6%
2024-04-18T05:15:33.579314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1142
 
9.0%
) 1043
 
8.2%
( 1042
 
8.2%
611
 
4.8%
609
 
4.8%
571
 
4.5%
535
 
4.2%
530
 
4.2%
317
 
2.5%
251
 
2.0%
Other values (517) 6046
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9974
78.6%
Close Punctuation 1043
 
8.2%
Open Punctuation 1042
 
8.2%
Space Separator 317
 
2.5%
Uppercase Letter 206
 
1.6%
Lowercase Letter 66
 
0.5%
Other Punctuation 27
 
0.2%
Decimal Number 18
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1142
 
11.4%
611
 
6.1%
609
 
6.1%
571
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
152
 
1.5%
147
 
1.5%
Other values (458) 5203
52.2%
Uppercase Letter
ValueCountFrequency (%)
T 32
15.5%
O 21
 
10.2%
R 17
 
8.3%
E 12
 
5.8%
U 12
 
5.8%
H 11
 
5.3%
A 10
 
4.9%
I 9
 
4.4%
J 9
 
4.4%
S 8
 
3.9%
Other values (14) 65
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.6%
r 7
10.6%
a 7
10.6%
l 5
 
7.6%
t 5
 
7.6%
e 4
 
6.1%
m 3
 
4.5%
w 3
 
4.5%
i 3
 
4.5%
s 3
 
4.5%
Other values (11) 17
25.8%
Decimal Number
ValueCountFrequency (%)
8 5
27.8%
2 5
27.8%
1 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 (%)
) 1043
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1042
100.0%
Space Separator
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9974
78.6%
Common 2451
 
19.3%
Latin 272
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1142
 
11.4%
611
 
6.1%
609
 
6.1%
571
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
152
 
1.5%
147
 
1.5%
Other values (458) 5203
52.2%
Latin
ValueCountFrequency (%)
T 32
 
11.8%
O 21
 
7.7%
R 17
 
6.2%
E 12
 
4.4%
U 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 (%)
) 1043
42.6%
( 1042
42.5%
317
 
12.9%
. 20
 
0.8%
8 5
 
0.2%
2 5
 
0.2%
1 5
 
0.2%
& 3
 
0.1%
- 3
 
0.1%
, 2
 
0.1%
Other values (4) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9974
78.6%
ASCII 2721
 
21.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1142
 
11.4%
611
 
6.1%
609
 
6.1%
571
 
5.7%
535
 
5.4%
530
 
5.3%
251
 
2.5%
223
 
2.2%
152
 
1.5%
147
 
1.5%
Other values (458) 5203
52.2%
ASCII
ValueCountFrequency (%)
) 1043
38.3%
( 1042
38.3%
317
 
11.7%
T 32
 
1.2%
O 21
 
0.8%
. 20
 
0.7%
R 17
 
0.6%
E 12
 
0.4%
U 12
 
0.4%
H 11
 
0.4%
Other values (48) 194
 
7.1%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

Distinct1501
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161884 × 1013
Minimum2.0021018 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:33.692492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041223 × 1013
Q12.0130711 × 1013
median2.0190713 × 1013
Q32.020081 × 1013
95-th percentile2.0210219 × 1013
Maximum2.0210226 × 1013
Range1.8920798 × 1011
Interquartile range (IQR)7.0099494 × 1010

Descriptive statistics

Standard deviation5.3296094 × 1010
Coefficient of variation (CV)0.0026434085
Kurtosis-0.10438084
Mean2.0161884 × 1013
Median Absolute Deviation (MAD)1.9408473 × 1010
Skewness-1.0855344
Sum3.0767034 × 1016
Variance2.8404737 × 1021
MonotonicityNot monotonic
2024-04-18T05:15:33.800278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161348 14
 
0.9%
20030127161421 13
 
0.9%
20191125152411 1
 
0.1%
20210224103834 1
 
0.1%
20191202100455 1
 
0.1%
20210223144402 1
 
0.1%
20210224104026 1
 
0.1%
20210223145610 1
 
0.1%
20210224105513 1
 
0.1%
20210224174333 1
 
0.1%
Other values (1491) 1491
97.7%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165315 1
 
0.1%
20030127161348 14
0.9%
20030127161421 13
0.9%
20030312181241 1
 
0.1%
20030319111845 1
 
0.1%
20030319113847 1
 
0.1%
20030422140241 1
 
0.1%
20030516111006 1
 
0.1%
20030526111222 1
 
0.1%
ValueCountFrequency (%)
20210226110605 1
0.1%
20210225113730 1
0.1%
20210225113700 1
0.1%
20210224192426 1
0.1%
20210224192112 1
0.1%
20210224191804 1
0.1%
20210224191646 1
0.1%
20210224190848 1
0.1%
20210224190716 1
0.1%
20210224190504 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
U
825 
I
701 

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 825
54.1%
I 701
45.9%

Length

2024-04-18T05:15:33.900786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:33.974178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 825
54.1%
i 701
45.9%
Distinct376
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-18T05:15:34.054083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:15:34.159725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct983
Distinct (%)66.5%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean388217.98
Minimum368967.07
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:34.265819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368967.07
5-th percentile381598.37
Q1385676.23
median387735.74
Q3390206.17
95-th percentile396180.62
Maximum402047.51
Range33080.438
Interquartile range (IQR)4529.9474

Descriptive statistics

Standard deviation4129.4932
Coefficient of variation (CV)0.010637048
Kurtosis1.6404702
Mean388217.98
Median Absolute Deviation (MAD)2104.9997
Skewness0.15051775
Sum5.7378618 × 108
Variance17052714
MonotonicityNot monotonic
2024-04-18T05:15:34.368286image/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%
385507.640529964 18
 
1.2%
385473.576409934 18
 
1.2%
386093.674147239 15
 
1.0%
385502.492319657 15
 
1.0%
387778.879751482 14
 
0.9%
385676.22672246 11
 
0.7%
385630.742187332 10
 
0.7%
385561.650139456 10
 
0.7%
Other values (973) 1315
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 

Distinct983
Distinct (%)66.5%
Missing48
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean185629.56
Minimum174307.15
Maximum205995.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:34.468038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179877.2
Q1181352.72
median185983.92
Q3188217.85
95-th percentile193891.5
Maximum205995.9
Range31688.756
Interquartile range (IQR)6865.1271

Descriptive statistics

Standard deviation4505.4259
Coefficient of variation (CV)0.024271058
Kurtosis0.66546413
Mean185629.56
Median Absolute Deviation (MAD)3381.9983
Skewness0.63309954
Sum2.7436049 × 108
Variance20298863
MonotonicityNot monotonic
2024-04-18T05:15:34.568733image/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%
180548.792611588 18
 
1.2%
180297.978228551 18
 
1.2%
182068.358104572 15
 
1.0%
180297.579330876 15
 
1.0%
184455.754008589 14
 
0.9%
180949.186545775 11
 
0.7%
180306.821082315 10
 
0.7%
180152.738082365 10
 
0.7%
Other values (973) 1315
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
1526 

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 1526
100.0%

Length

2024-04-18T05:15:34.666053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:34.740011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국외여행업 1526
100.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
813 
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> 813
53.3%
관광사업 713
46.7%

Length

2024-04-18T05:15:34.811585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:34.885427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 813
53.3%
관광사업 713
46.7%

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1284 
일반주거지역
 
50
일반상업지역
 
46
준주거지역
 
42
상업지역
 
41
Other values (6)
 
63

Length

Max length6
Median length4
Mean length4.2103539
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> 1284
84.1%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.8%
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

2024-04-18T05:15:34.972969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1284
84.1%
일반주거지역 50
 
3.3%
일반상업지역 46
 
3.0%
준주거지역 42
 
2.8%
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%
Missing1297
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean6.1353712
Minimum0
Maximum54
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:35.070989image/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
2024-04-18T05:15:35.162650image/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) 1297
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>
1369 
기타
 
80
주택가주변
 
22
학교정화(상대)
 
21
아파트지역
 
17
Other values (3)
 
17

Length

Max length8
Median length4
Mean length4.0176933
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> 1369
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

2024-04-18T05:15:35.264885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:15:35.351946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1369
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 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

보험기관명
Categorical

Distinct32
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
514 
서울보증보험
334 
서울보증보험주식회사
318 
한국관광협회
91 
한국관광협회중앙회 여행공제회
91 
Other values (27)
178 

Length

Max length18
Median length16
Mean length7.0904325
Min length4

Unique

Unique13 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 514
33.7%
서울보증보험 334
21.9%
서울보증보험주식회사 318
20.8%
한국관광협회 91
 
6.0%
한국관광협회중앙회 여행공제회 91
 
6.0%
한국관광협회중앙회 66
 
4.3%
서울보증보험(주) 27
 
1.8%
부산광역시관광협회 15
 
1.0%
한국관광협회중앙회여행공제회 10
 
0.7%
한국관광협회중앙회 관광공제회 10
 
0.7%
Other values (22) 50
 
3.3%

Length

2024-04-18T05:15:35.455592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 514
31.3%
서울보증보험 335
20.4%
서울보증보험주식회사 318
19.4%
한국관광협회중앙회 169
 
10.3%
여행공제회 94
 
5.7%
한국관광협회 93
 
5.7%
서울보증보험(주 27
 
1.6%
관광공제회 19
 
1.2%
부산광역시관광협회 15
 
0.9%
관광협회 13
 
0.8%
Other values (21) 46
 
2.8%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1248 
근린생활시설
184 
사무실
 
73
기타
 
6
교육연구시설
 
4
Other values (6)
 
11

Length

Max length12
Median length4
Mean length4.1939712
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1248
81.8%
근린생활시설 184
 
12.1%
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

2024-04-18T05:15:35.551466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1248
81.8%
근린생활시설 184
 
12.1%
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%
Missing1287
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean5.4811715
Minimum0
Maximum49
Zeros18
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:35.968860image/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
2024-04-18T05:15:36.059563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 50
 
3.3%
3 42
 
2.8%
4 23
 
1.5%
5 20
 
1.3%
1 20
 
1.3%
0 18
 
1.2%
6 12
 
0.8%
9 9
 
0.6%
7 7
 
0.5%
8 5
 
0.3%
Other values (18) 33
 
2.2%
(Missing) 1287
84.3%
ValueCountFrequency (%)
0 18
 
1.2%
1 20
 
1.3%
2 50
3.3%
3 42
2.8%
4 23
1.5%
5 20
 
1.3%
6 12
 
0.8%
7 7
 
0.5%
8 5
 
0.3%
9 9
 
0.6%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
22 1
 
0.1%
20 3
0.2%
19 2
0.1%
18 2
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.8%
Missing1388
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean1.384058
Minimum0
Maximum7
Zeros28
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:36.141387image/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
2024-04-18T05:15:36.222959image/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) 1388
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 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

영문상호명
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing1456
Missing (%)95.4%
Memory size12.1 KiB
2024-04-18T05:15:36.442999image/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%
2024-04-18T05:15:36.773068image/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%
c 16
 
5.0%
u 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%
0 2
 
0.8%
& 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>
1459 
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 length4.8486239
Min length4

Unique

Unique14 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1459
95.6%
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 Business 3
 
0.2%
Overseas Travel Agency 3
 
0.2%
Foreign Travel Agency 2
 
0.1%
International Travel Agency 2
 
0.1%
Domestic Traval Agency 2
 
0.1%
Other values (14) 14
 
0.9%

Length

2024-04-18T05:15:36.882039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1459
87.8%
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 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct247
Distinct (%)75.5%
Missing1199
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean221.94483
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:36.982434image/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
2024-04-18T05:15:37.088006image/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%
27.48 3
 
0.2%
Other values (237) 262
 
17.2%
(Missing) 1199
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 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

기획여행보험시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing1517
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20187391
Minimum20160718
Maximum20201113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:37.183516image/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
2024-04-18T05:15:37.276457image/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) 1517
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%
Missing1517
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20198493
Minimum20170718
Maximum20211113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:37.369307image/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
2024-04-18T05:15:37.458460image/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) 1517
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%
Missing534
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean97055122
Minimum60000
Maximum6.5122084 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:37.563673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.1367149 × 108
Coefficient of variation (CV)2.2015478
Kurtosis822.35965
Mean97055122
Median Absolute Deviation (MAD)40000000
Skewness27.514635
Sum9.6278681 × 1010
Variance4.5655506 × 1016
MonotonicityNot monotonic
2024-04-18T05:15:37.666229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 324
21.2%
60000000 184
 
12.1%
150000000 118
 
7.7%
30000000 92
 
6.0%
90000000 53
 
3.5%
50000000 24
 
1.6%
45000000 22
 
1.4%
70000000 7
 
0.5%
63000000 6
 
0.4%
200000000 6
 
0.4%
Other values (122) 156
 
10.2%
(Missing) 534
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 92
6.0%
30013165 1
 
0.1%
ValueCountFrequency (%)
6512208375 1
 
0.1%
950000000 1
 
0.1%
700000000 2
 
0.1%
603654783 1
 
0.1%
500000000 4
0.3%
300000000 2
 
0.1%
281323639 1
 
0.1%
264696930 1
 
0.1%
250000000 1
 
0.1%
200000000 6
0.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct766
Distinct (%)72.2%
Missing465
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean20180885
Minimum20021021
Maximum20210316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:37.770285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110810
Q120171124
median20191023
Q320200529
95-th percentile20201218
Maximum20210316
Range189295
Interquartile range (IQR)29405

Descriptive statistics

Standard deviation31654.059
Coefficient of variation (CV)0.0015685169
Kurtosis5.2005417
Mean20180885
Median Absolute Deviation (MAD)9702
Skewness-2.1849091
Sum2.1411919 × 1010
Variance1.0019795 × 109
MonotonicityNot monotonic
2024-04-18T05:15:37.882173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200401 6
 
0.4%
20200201 6
 
0.4%
20191201 6
 
0.4%
20200301 5
 
0.3%
20191125 5
 
0.3%
20201101 5
 
0.3%
20200701 5
 
0.3%
20181101 5
 
0.3%
20200617 4
 
0.3%
20200608 4
 
0.3%
Other values (756) 1010
66.2%
(Missing) 465
30.5%
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 (%)
20210316 1
0.1%
20210306 1
0.1%
20210301 1
0.1%
20210228 1
0.1%
20210224 1
0.1%
20210222 1
0.1%
20210219 1
0.1%
20210215 1
0.1%
20210212 1
0.1%
20210211 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct772
Distinct (%)72.8%
Missing465
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean20191071
Minimum20031021
Maximum20220404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:37.998069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20120830
Q120181214
median20201031
Q320210604
95-th percentile20211222
Maximum20220404
Range189383
Interquartile range (IQR)29390

Descriptive statistics

Standard deviation31419.355
Coefficient of variation (CV)0.0015561015
Kurtosis5.0916571
Mean20191071
Median Absolute Deviation (MAD)9698
Skewness-2.1663236
Sum2.1422726 × 1010
Variance9.8717588 × 108
MonotonicityNot monotonic
2024-04-18T05:15:38.108356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210131 7
 
0.5%
20201130 6
 
0.4%
20201031 6
 
0.4%
20210331 6
 
0.4%
20211031 5
 
0.3%
20210930 5
 
0.3%
20200731 5
 
0.3%
20210228 5
 
0.3%
20210630 5
 
0.3%
20210701 4
 
0.3%
Other values (762) 1007
66.0%
(Missing) 465
30.5%
ValueCountFrequency (%)
20031021 1
0.1%
20040414 1
0.1%
20040627 1
0.1%
20040812 1
0.1%
20050420 1
0.1%
20050620 1
0.1%
20050913 1
0.1%
20060321 1
0.1%
20060418 1
0.1%
20060720 1
0.1%
ValueCountFrequency (%)
20220404 1
0.1%
20220315 1
0.1%
20220314 1
0.1%
20220305 1
0.1%
20220228 1
0.1%
20220227 1
0.1%
20220224 1
0.1%
20220221 1
0.1%
20220219 1
0.1%
20220214 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)37.6%
Missing1199
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean221.97554
Minimum0
Maximum43511
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-04-18T05:15:38.226315image/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
2024-04-18T05:15:38.332232image/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%
50 10
 
0.7%
40 10
 
0.7%
30 9
 
0.6%
42 7
 
0.5%
39 6
 
0.4%
66 5
 
0.3%
27 5
 
0.3%
Other values (113) 225
 
14.7%
(Missing) 1199
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 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국외여행업03_12_02_P3250000CDFI226002198900000219891229<NA>2휴업2휴업<NA>2019070120200630<NA>469-7731<NA>600815부산광역시 중구 중앙동4가 53-30번지 1층부산광역시 중구 중앙대로81번길 2 (중앙동4가,1층)<NA>(주)팔성국제관광20191125152411U2019-11-27 02:40:00.0<NA>385556.341486180343.213568국외여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018110120191031<NA><NA><NA>
12국외여행업03_12_02_P3250000CDFI226002199700000419971024<NA>2휴업2휴업<NA>2020090520210304<NA>468-7555<NA>600100부산광역시 중구 대창동2가 11-7부산광역시 중구 중앙대로 151 (대창동2가)<NA>(주)남태평양관광20200831141601U2020-09-02 02:40:00.0<NA>385690.60408181000.887016국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019102620201026<NA><NA><NA>
23국외여행업03_12_02_P3250000CDFI226002201600001420161014<NA>2휴업2휴업<NA>2021010120210630<NA>070-7008-7788<NA><NA>부산광역시 중구 대창동1가 51부산광역시 중구 해관로 89, 10층 8호 (대창동1가, 중앙빌딩)48924PMP 투어20201224112002U2020-12-26 02:40:00.0<NA>385507.64053180548.792612국외여행업<NA>일반상업지역<NA><NA><NA>서울보증보험사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>58.0<NA><NA><NA><NA><NA><NA><NA><NA>300000002019103120201030<NA>58<NA>
34국외여행업03_12_02_P3250000CDFI226002201600000220160129<NA>2휴업2휴업<NA>2018010120181231<NA>051 7537300<NA><NA>부산광역시 중구 중앙동4가 31-1번지부산광역시 중구 중앙대로81번길 3 (중앙동4가)48929파초여행(주)20190516154900U2019-05-18 02:40:00.0<NA>385541.993353180309.073001국외여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002019020220200201<NA><NA><NA>
45국외여행업03_12_02_P3250000CDFI226002201700001720170725<NA>2휴업2휴업<NA>2020082020210819<NA><NA><NA><NA>부산광역시 중구 중앙동4가 23-1 1303호부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)48941수트래블20210112112257U2021-01-14 02:40:00.0<NA>385630.742187180306.821082국외여행업<NA><NA><NA><NA><NA>서울보증보험사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27.48<NA><NA><NA><NA><NA><NA><NA><NA>450000002019081620200815<NA>27<NA>
56국외여행업03_12_02_P3250000CDFI226002201800000820180425<NA>2휴업2휴업<NA>2020120120211130<NA>051-714-3570<NA><NA>부산광역시 중구 중앙동6가 20-29부산광역시 중구 중앙대로 37, 2층 (중앙동6가)48957데일리투어&골프20201216135319U2020-12-18 02:40:00.0<NA>385599.322545179877.201347국외여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002019110120201031<NA><NA><NA>
67국외여행업03_12_02_P3250000CDFI226002201400000520071116<NA>2휴업2휴업<NA>2019041520191015<NA>051-466-1314<NA>600014부산광역시 중구 중앙동4가 86-3번지부산광역시 중구 충장대로13번길 14, 다동 213호 (중앙동4가)48935투어월드여행사20190902145442U2019-09-04 02:40:00.0<NA>385769.574833180512.545626국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1009000002018111720191116<NA><NA><NA>
78국외여행업03_12_02_P3250000CDFI226002201900000320190227<NA>3폐업3폐업20191105<NA><NA><NA>051-719-1191<NA><NA>부산광역시 중구 중앙동4가 25-2번지부산광역시 중구 중앙대로 72, 505호 (중앙동4가)48941(주)루비골프앤투어20191105140627U2019-11-07 02:40:00.0<NA>385635.339978180238.223506국외여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000002019030820200308<NA><NA><NA>
89국외여행업03_12_02_P3250000CDFI226002201900000420190423<NA>3폐업3폐업20190327<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 30-9번지부산광역시 중구 해관로 64, 401호 (중앙동4가)48929(주)유벨라트래블20200327172401U2020-03-29 02:40:00.0<NA>385539.972541180278.841231국외여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002019050120200430<NA><NA><NA>
910국외여행업03_12_02_P3250000CDFI226002200000001120001024<NA>3폐업3폐업20200318<NA><NA><NA>051-247-1122<NA><NA>부산광역시 중구 부평동2가 68-4번지부산광역시 중구 흑교로 18 (부평동2가)48977(주)뉴태평양여행사20200318155352U2020-03-20 02:40:00.0<NA>384598.903965179879.997495국외여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019062520200625<NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
15161517국외여행업03_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>
15171518국외여행업03_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>
15181519국외여행업03_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>
15191520국외여행업03_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>
15201521국외여행업03_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>
15211522국외여행업03_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>
15221523국외여행업03_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>
15231524국외여행업03_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>
15241525국외여행업03_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>
15251526국외여행업03_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>