Overview

Dataset statistics

Number of variables64
Number of observations1256
Missing cells25588
Missing cells (%)31.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory683.3 KiB
Average record size in memory557.1 B

Variable types

Numeric19
Categorical25
Text6
Unsupported13
DateTime1

Dataset

Description2022-12-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123072

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태명 is highly imbalanced (56.1%)Imbalance
휴업시작일자 is highly imbalanced (98.2%)Imbalance
휴업종료일자 is highly imbalanced (98.2%)Imbalance
지역구분명 is highly imbalanced (68.7%)Imbalance
주변환경명 is highly imbalanced (73.4%)Imbalance
건물용도명 is highly imbalanced (71.6%)Imbalance
영문상호주소 is highly imbalanced (93.3%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.1%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.1%)Imbalance
인허가취소일자 has 1210 (96.3%) missing valuesMissing
폐업일자 has 424 (33.8%) missing valuesMissing
재개업일자 has 1256 (100.0%) missing valuesMissing
소재지전화 has 327 (26.0%) missing valuesMissing
소재지면적 has 1256 (100.0%) missing valuesMissing
소재지우편번호 has 597 (47.5%) missing valuesMissing
도로명전체주소 has 56 (4.5%) missing valuesMissing
도로명우편번호 has 399 (31.8%) missing valuesMissing
업태구분명 has 1256 (100.0%) missing valuesMissing
좌표정보(x) has 38 (3.0%) missing valuesMissing
좌표정보(y) has 38 (3.0%) missing valuesMissing
총층수 has 769 (61.2%) missing valuesMissing
제작취급품목내용 has 1256 (100.0%) missing valuesMissing
지상층수 has 744 (59.2%) missing valuesMissing
지하층수 has 827 (65.8%) missing valuesMissing
영문상호명 has 1225 (97.5%) missing valuesMissing
선박제원 has 1256 (100.0%) missing valuesMissing
기념품종류 has 1256 (100.0%) missing valuesMissing
시설면적 has 708 (56.4%) missing valuesMissing
놀이기구수내역 has 1256 (100.0%) missing valuesMissing
방송시설유무 has 1256 (100.0%) missing valuesMissing
발전시설유무 has 1256 (100.0%) missing valuesMissing
의무실유무 has 1256 (100.0%) missing valuesMissing
안내소유무 has 1256 (100.0%) missing valuesMissing
자본금 has 357 (28.4%) missing valuesMissing
보험시작일자 has 417 (33.2%) missing valuesMissing
보험종료일자 has 416 (33.1%) missing valuesMissing
부대시설내역 has 1256 (100.0%) missing valuesMissing
시설규모 has 708 (56.4%) missing valuesMissing
Unnamed: 63 has 1256 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 20.44814071)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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 287 (22.9%) zerosZeros
지상층수 has 288 (22.9%) zerosZeros
지하층수 has 331 (26.4%) zerosZeros
시설면적 has 263 (20.9%) zerosZeros
자본금 has 77 (6.1%) zerosZeros
시설규모 has 263 (20.9%) zerosZeros

Reproduction

Analysis started2024-04-16 06:46:09.974881
Analysis finished2024-04-16 06:46:11.099613
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628.5
Minimum1
Maximum1256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:11.156188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.75
Q1314.75
median628.5
Q3942.25
95-th percentile1193.25
Maximum1256
Range1255
Interquartile range (IQR)627.5

Descriptive statistics

Standard deviation362.72028
Coefficient of variation (CV)0.57712057
Kurtosis-1.2
Mean628.5
Median Absolute Deviation (MAD)314
Skewness0
Sum789396
Variance131566
MonotonicityStrictly increasing
2024-04-16T15:46:11.264568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
836 1
 
0.1%
843 1
 
0.1%
842 1
 
0.1%
841 1
 
0.1%
840 1
 
0.1%
839 1
 
0.1%
838 1
 
0.1%
837 1
 
0.1%
835 1
 
0.1%
Other values (1246) 1246
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1256 1
0.1%
1255 1
0.1%
1254 1
0.1%
1253 1
0.1%
1252 1
0.1%
1251 1
0.1%
1250 1
0.1%
1249 1
0.1%
1248 1
0.1%
1247 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
국내여행업
1256 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 1256
100.0%

Length

2024-04-16T15:46:11.371411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:11.448113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1256
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
03_12_01_P
1256 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
03_12_01_P 1256
100.0%

Length

2024-04-16T15:46:11.524971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:11.594242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 1256
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310222.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:11.659364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation41064.885
Coefficient of variation (CV)0.012405474
Kurtosis-0.85186846
Mean3310222.9
Median Absolute Deviation (MAD)30000
Skewness0.37290606
Sum4.15764 × 109
Variance1.6863248 × 109
MonotonicityIncreasing
2024-04-16T15:46:11.748576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 271
21.6%
3250000 145
11.5%
3330000 141
11.2%
3270000 129
10.3%
3300000 101
 
8.0%
3370000 101
 
8.0%
3310000 76
 
6.1%
3350000 60
 
4.8%
3380000 59
 
4.7%
3340000 37
 
2.9%
Other values (6) 136
10.8%
ValueCountFrequency (%)
3250000 145
11.5%
3260000 13
 
1.0%
3270000 129
10.3%
3280000 20
 
1.6%
3290000 271
21.6%
3300000 101
 
8.0%
3310000 76
 
6.1%
3320000 35
 
2.8%
3330000 141
11.2%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 14
 
1.1%
3390000 33
 
2.6%
3380000 59
4.7%
3370000 101
8.0%
3360000 21
 
1.7%
3350000 60
4.8%
3340000 37
 
2.9%
3330000 141
11.2%
3320000 35
 
2.8%
3310000 76
6.1%

관리번호
Text

Distinct362
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:46:11.910991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters25120
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

Unique115 ?
Unique (%)9.2%

Sample

1st rowCDFI2260012007000013
2nd rowCDFI2260012019000002
3rd rowCDFI2260012019000003
4th rowCDFI2260012019000006
5th rowCDFI2260012016000001
ValueCountFrequency (%)
cdfi2260012011000001 15
 
1.2%
cdfi2260012020000001 14
 
1.1%
cdfi2260012016000001 13
 
1.0%
cdfi2260012019000001 13
 
1.0%
cdfi2260012021000003 12
 
1.0%
cdfi2260012018000002 12
 
1.0%
cdfi2260012001000001 12
 
1.0%
cdfi2260012016000002 11
 
0.9%
cdfi2260012017000002 11
 
0.9%
cdfi2260012017000001 11
 
0.9%
Other values (352) 1132
90.1%
2024-04-16T15:46:12.202667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10319
41.1%
2 4153
16.5%
1 2572
 
10.2%
6 1487
 
5.9%
C 1256
 
5.0%
D 1256
 
5.0%
F 1256
 
5.0%
I 1256
 
5.0%
9 424
 
1.7%
4 255
 
1.0%
Other values (4) 886
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20096
80.0%
Uppercase Letter 5024
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10319
51.3%
2 4153
20.7%
1 2572
 
12.8%
6 1487
 
7.4%
9 424
 
2.1%
4 255
 
1.3%
3 244
 
1.2%
5 244
 
1.2%
7 227
 
1.1%
8 171
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1256
25.0%
D 1256
25.0%
F 1256
25.0%
I 1256
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20096
80.0%
Latin 5024
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10319
51.3%
2 4153
20.7%
1 2572
 
12.8%
6 1487
 
7.4%
9 424
 
2.1%
4 255
 
1.3%
3 244
 
1.2%
5 244
 
1.2%
7 227
 
1.1%
8 171
 
0.9%
Latin
ValueCountFrequency (%)
C 1256
25.0%
D 1256
25.0%
F 1256
25.0%
I 1256
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10319
41.1%
2 4153
16.5%
1 2572
 
10.2%
6 1487
 
5.9%
C 1256
 
5.0%
D 1256
 
5.0%
F 1256
 
5.0%
I 1256
 
5.0%
9 424
 
1.7%
4 255
 
1.0%
Other values (4) 886
 
3.5%

인허가일자
Real number (ℝ)

Distinct1109
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097236
Minimum19840924
Maximum20220930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:12.319163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840924
5-th percentile19970423
Q120050284
median20110108
Q320160208
95-th percentile20200526
Maximum20220930
Range380006
Interquartile range (IQR)109924

Descriptive statistics

Standard deviation72960.769
Coefficient of variation (CV)0.0036303883
Kurtosis-0.49514748
Mean20097236
Median Absolute Deviation (MAD)50758.5
Skewness-0.44105402
Sum2.5242128 × 1010
Variance5.3232738 × 109
MonotonicityNot monotonic
2024-04-16T15:46:12.429529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190328 4
 
0.3%
20051123 4
 
0.3%
20160729 3
 
0.2%
20150209 3
 
0.2%
20160129 3
 
0.2%
20060508 3
 
0.2%
20160831 3
 
0.2%
20020302 3
 
0.2%
20120402 3
 
0.2%
20160713 3
 
0.2%
Other values (1099) 1224
97.5%
ValueCountFrequency (%)
19840924 1
0.1%
19861025 1
0.1%
19890220 1
0.1%
19900313 1
0.1%
19900802 1
0.1%
19910325 1
0.1%
19910423 1
0.1%
19910918 1
0.1%
19911001 1
0.1%
19911101 1
0.1%
ValueCountFrequency (%)
20220930 1
0.1%
20220906 1
0.1%
20220804 1
0.1%
20220726 1
0.1%
20220720 1
0.1%
20220608 1
0.1%
20220518 1
0.1%
20220414 1
0.1%
20220405 1
0.1%
20220124 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing1210
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean20142395
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:12.543339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation46665.128
Coefficient of variation (CV)0.0023167616
Kurtosis-0.44030539
Mean20142395
Median Absolute Deviation (MAD)24991
Skewness-0.83392341
Sum9.2655018 × 108
Variance2.1776342 × 109
MonotonicityNot monotonic
2024-04-16T15:46:12.651643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20190305 3
 
0.2%
20170705 2
 
0.2%
20141007 2
 
0.2%
20190515 2
 
0.2%
20170424 2
 
0.2%
20200224 1
 
0.1%
20150128 1
 
0.1%
20140912 1
 
0.1%
20090724 1
 
0.1%
20080509 1
 
0.1%
Other values (30) 30
 
2.4%
(Missing) 1210
96.3%
ValueCountFrequency (%)
20030822 1
0.1%
20040902 1
0.1%
20061011 1
0.1%
20061228 1
0.1%
20070123 1
0.1%
20070510 1
0.1%
20080509 1
0.1%
20080813 1
0.1%
20090724 1
0.1%
20091007 1
0.1%
ValueCountFrequency (%)
20200226 1
 
0.1%
20200224 1
 
0.1%
20190515 2
0.2%
20190305 3
0.2%
20190213 1
 
0.1%
20180921 1
 
0.1%
20180917 1
 
0.1%
20180530 1
 
0.1%
20171229 1
 
0.1%
20171211 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
3
828 
1
357 
4
 
66
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 828
65.9%
1 357
28.4%
4 66
 
5.3%
2 5
 
0.4%

Length

2024-04-16T15:46:12.776248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:12.877403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 828
65.9%
1 357
28.4%
4 66
 
5.3%
2 5
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업
828 
영업/정상
357 
취소/말소/만료/정지/중지
 
66
휴업
 
5

Length

Max length14
Median length2
Mean length3.4832803
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 828
65.9%
영업/정상 357
28.4%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 5
 
0.4%

Length

2024-04-16T15:46:12.992525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:13.093362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 828
65.9%
영업/정상 357
28.4%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 5
 
0.4%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3152866
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:13.163985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1718322
Coefficient of variation (CV)0.98038977
Kurtosis3.7018746
Mean7.3152866
Median Absolute Deviation (MAD)0
Skewness1.934867
Sum9188
Variance51.435176
MonotonicityNot monotonic
2024-04-16T15:46:13.238893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 828
65.9%
13 357
28.4%
31 45
 
3.6%
30 15
 
1.2%
2 5
 
0.4%
35 5
 
0.4%
33 1
 
0.1%
ValueCountFrequency (%)
2 5
 
0.4%
3 828
65.9%
13 357
28.4%
30 15
 
1.2%
31 45
 
3.6%
33 1
 
0.1%
35 5
 
0.4%
ValueCountFrequency (%)
35 5
 
0.4%
33 1
 
0.1%
31 45
 
3.6%
30 15
 
1.2%
13 357
28.4%
3 828
65.9%
2 5
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업
828 
영업중
357 
등록취소
 
45
허가취소
 
15
휴업
 
5
Other values (2)
 
6

Length

Max length4
Median length2
Mean length2.3893312
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 828
65.9%
영업중 357
28.4%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 5
 
0.4%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

Length

2024-04-16T15:46:13.336411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:13.425850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 828
65.9%
영업중 357
28.4%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 5
 
0.4%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct687
Distinct (%)82.6%
Missing424
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean20144034
Minimum19971211
Maximum20221028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:13.744065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971211
5-th percentile20020225
Q120090280
median20160376
Q320211112
95-th percentile20220714
Maximum20221028
Range249817
Interquartile range (IQR)120831.5

Descriptive statistics

Standard deviation68859.852
Coefficient of variation (CV)0.0034183745
Kurtosis-0.98525418
Mean20144034
Median Absolute Deviation (MAD)59735
Skewness-0.5231494
Sum1.6759836 × 1010
Variance4.7416792 × 109
MonotonicityNot monotonic
2024-04-16T15:46:13.849613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 9
 
0.7%
20220215 6
 
0.5%
20220224 5
 
0.4%
20001129 5
 
0.4%
20211231 5
 
0.4%
20211227 4
 
0.3%
20220203 4
 
0.3%
20220127 4
 
0.3%
20211112 4
 
0.3%
20190630 3
 
0.2%
Other values (677) 783
62.3%
(Missing) 424
33.8%
ValueCountFrequency (%)
19971211 1
 
0.1%
19990403 1
 
0.1%
19990408 1
 
0.1%
19990524 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991104 1
 
0.1%
20000111 9
0.7%
20000128 1
 
0.1%
20000229 1
 
0.1%
ValueCountFrequency (%)
20221028 1
 
0.1%
20221024 2
0.2%
20221021 1
 
0.1%
20221018 2
0.2%
20220928 3
0.2%
20220921 1
 
0.1%
20220920 1
 
0.1%
20220916 1
 
0.1%
20220914 1
 
0.1%
20220908 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1251 
20210101
 
1
20201201
 
1
20200401
 
1
20130902
 
1

Length

Max length8
Median length4
Mean length4.0159236
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row20210101
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1251
99.6%
20210101 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130902 1
 
0.1%
20130510 1
 
0.1%

Length

2024-04-16T15:46:13.956780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:14.046173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1251
99.6%
20210101 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130902 1
 
0.1%
20130510 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1251 
20211231
 
1
20221130
 
1
20210930
 
1
20140904
 
1

Length

Max length8
Median length4
Mean length4.0159236
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row20211231
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1251
99.6%
20211231 1
 
0.1%
20221130 1
 
0.1%
20210930 1
 
0.1%
20140904 1
 
0.1%
20140509 1
 
0.1%

Length

2024-04-16T15:46:14.139928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:14.229562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1251
99.6%
20211231 1
 
0.1%
20221130 1
 
0.1%
20210930 1
 
0.1%
20140904 1
 
0.1%
20140509 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

소재지전화
Text

MISSING 

Distinct898
Distinct (%)96.7%
Missing327
Missing (%)26.0%
Memory size9.9 KiB
2024-04-16T15:46:14.451065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.654467
Min length1

Characters and Unicode

Total characters9898
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique871 ?
Unique (%)93.8%

Sample

1st row051-469-7731
2nd row051241 0909
3rd row051-852-2088
4th row051-464-6464
5th row051-463-0926
ValueCountFrequency (%)
051 27
 
2.8%
5
 
0.5%
740-6353 3
 
0.3%
051-816-0019 2
 
0.2%
809 2
 
0.2%
261 2
 
0.2%
637-6200 2
 
0.2%
051-817-3060 2
 
0.2%
051-612-7788 2
 
0.2%
051-463-0888 2
 
0.2%
Other values (912) 932
95.0%
2024-04-16T15:46:14.815181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1564
15.8%
- 1431
14.5%
1 1333
13.5%
5 1302
13.2%
6 723
7.3%
8 719
7.3%
4 665
6.7%
2 623
 
6.3%
7 599
 
6.1%
3 487
 
4.9%
Other values (6) 452
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8386
84.7%
Dash Punctuation 1431
 
14.5%
Space Separator 52
 
0.5%
Close Punctuation 16
 
0.2%
Other Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1564
18.7%
1 1333
15.9%
5 1302
15.5%
6 723
8.6%
8 719
8.6%
4 665
7.9%
2 623
 
7.4%
7 599
 
7.1%
3 487
 
5.8%
9 371
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 1431
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1564
15.8%
- 1431
14.5%
1 1333
13.5%
5 1302
13.2%
6 723
7.3%
8 719
7.3%
4 665
6.7%
2 623
 
6.3%
7 599
 
6.1%
3 487
 
4.9%
Other values (6) 452
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1564
15.8%
- 1431
14.5%
1 1333
13.5%
5 1302
13.2%
6 723
7.3%
8 719
7.3%
4 665
6.7%
2 623
 
6.3%
7 599
 
6.1%
3 487
 
4.9%
Other values (6) 452
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)46.1%
Missing597
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean609811.66
Minimum600011
Maximum701814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:14.937422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600100
Q1603424
median611802
Q3614826
95-th percentile616852
Maximum701814
Range101803
Interquartile range (IQR)11402

Descriptive statistics

Standard deviation7796.2622
Coefficient of variation (CV)0.012784705
Kurtosis49.630487
Mean609811.66
Median Absolute Deviation (MAD)3058
Skewness4.6700185
Sum4.0186588 × 108
Variance60781705
MonotonicityNot monotonic
2024-04-16T15:46:15.052887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600815 17
 
1.4%
614854 16
 
1.3%
614844 11
 
0.9%
614849 11
 
0.9%
612824 10
 
0.8%
601839 10
 
0.8%
607827 10
 
0.8%
601715 9
 
0.7%
614828 9
 
0.7%
607829 8
 
0.6%
Other values (294) 548
43.6%
(Missing) 597
47.5%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 2
 
0.2%
600013 4
0.3%
600014 5
0.4%
600015 2
 
0.2%
600016 3
0.2%
600022 3
0.2%
600023 1
 
0.1%
600031 1
 
0.1%
600032 1
 
0.1%
ValueCountFrequency (%)
701814 1
0.1%
682818 1
0.1%
680828 1
0.1%
619952 1
0.1%
619906 1
0.1%
619905 1
0.1%
619903 1
0.1%
618814 1
0.1%
618708 1
0.1%
618200 1
0.1%

소재지전체주소
Text

Distinct1175
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:46:15.318021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length25.801752
Min length12

Characters and Unicode

Total characters32407
Distinct characters390
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

Unique1118 ?
Unique (%)89.0%

Sample

1st row부산광역시 중구 중앙동4가 53-30
2nd row부산광역시 중구 남포동4가 44-3번지
3rd row부산광역시 중구 대창동1가 51
4th row부산광역시 중구 중앙동4가 15-3번지
5th row부산광역시 중구 대창동1가 51
ValueCountFrequency (%)
부산광역시 1253
 
20.0%
부산진구 271
 
4.3%
중구 145
 
2.3%
해운대구 141
 
2.3%
동구 130
 
2.1%
동래구 102
 
1.6%
연제구 101
 
1.6%
부전동 95
 
1.5%
초량동 89
 
1.4%
남구 75
 
1.2%
Other values (1806) 3850
61.6%
2024-04-16T15:46:15.759246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4996
 
15.4%
부 1698
 
5.2%
산 1652
 
5.1%
1 1611
 
5.0%
동 1599
 
4.9%
시 1297
 
4.0%
광 1288
 
4.0%
구 1270
 
3.9%
역 1261
 
3.9%
- 1104
 
3.4%
Other values (380) 14631
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19011
58.7%
Decimal Number 6947
 
21.4%
Space Separator 4996
 
15.4%
Dash Punctuation 1104
 
3.4%
Uppercase Letter 163
 
0.5%
Lowercase Letter 140
 
0.4%
Open Punctuation 17
 
0.1%
Close Punctuation 17
 
0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1698
 
8.9%
산 1652
 
8.7%
동 1599
 
8.4%
시 1297
 
6.8%
광 1288
 
6.8%
구 1270
 
6.7%
역 1261
 
6.6%
지 696
 
3.7%
번 651
 
3.4%
호 372
 
2.0%
Other values (324) 7227
38.0%
Uppercase Letter
ValueCountFrequency (%)
S 33
20.2%
T 19
11.7%
K 14
8.6%
C 13
 
8.0%
A 11
 
6.7%
B 11
 
6.7%
E 9
 
5.5%
I 8
 
4.9%
O 6
 
3.7%
V 6
 
3.7%
Other values (12) 33
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 30
21.4%
o 19
13.6%
l 11
 
7.9%
i 10
 
7.1%
p 10
 
7.1%
w 9
 
6.4%
x 9
 
6.4%
n 9
 
6.4%
d 9
 
6.4%
a 9
 
6.4%
Other values (7) 15
10.7%
Decimal Number
ValueCountFrequency (%)
1 1611
23.2%
2 959
13.8%
3 769
11.1%
4 696
10.0%
0 648
9.3%
5 512
 
7.4%
7 480
 
6.9%
8 478
 
6.9%
6 457
 
6.6%
9 337
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 4
33.3%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19011
58.7%
Common 13093
40.4%
Latin 303
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1698
 
8.9%
산 1652
 
8.7%
동 1599
 
8.4%
시 1297
 
6.8%
광 1288
 
6.8%
구 1270
 
6.7%
역 1261
 
6.6%
지 696
 
3.7%
번 651
 
3.4%
호 372
 
2.0%
Other values (324) 7227
38.0%
Latin
ValueCountFrequency (%)
S 33
 
10.9%
e 30
 
9.9%
o 19
 
6.3%
T 19
 
6.3%
K 14
 
4.6%
C 13
 
4.3%
A 11
 
3.6%
l 11
 
3.6%
B 11
 
3.6%
i 10
 
3.3%
Other values (29) 132
43.6%
Common
ValueCountFrequency (%)
4996
38.2%
1 1611
 
12.3%
- 1104
 
8.4%
2 959
 
7.3%
3 769
 
5.9%
4 696
 
5.3%
0 648
 
4.9%
5 512
 
3.9%
7 480
 
3.7%
8 478
 
3.7%
Other values (7) 840
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19011
58.7%
ASCII 13396
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4996
37.3%
1 1611
 
12.0%
- 1104
 
8.2%
2 959
 
7.2%
3 769
 
5.7%
4 696
 
5.2%
0 648
 
4.8%
5 512
 
3.8%
7 480
 
3.6%
8 478
 
3.6%
Other values (46) 1143
 
8.5%
Hangul
ValueCountFrequency (%)
부 1698
 
8.9%
산 1652
 
8.7%
동 1599
 
8.4%
시 1297
 
6.8%
광 1288
 
6.8%
구 1270
 
6.7%
역 1261
 
6.6%
지 696
 
3.7%
번 651
 
3.4%
호 372
 
2.0%
Other values (324) 7227
38.0%

도로명전체주소
Text

MISSING 

Distinct1159
Distinct (%)96.6%
Missing56
Missing (%)4.5%
Memory size9.9 KiB
2024-04-16T15:46:16.051831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46.5
Mean length33.665
Min length21

Characters and Unicode

Total characters40398
Distinct characters428
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

Unique1124 ?
Unique (%)93.7%

Sample

1st row부산광역시 중구 중앙대로81번길 2 (중앙동4가)
2nd row부산광역시 중구 자갈치해안로 60 (남포동4가)
3rd row부산광역시 중구 해관로 89, 중앙빌딩 707호 (대창동1가)
4th row부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)
5th row부산광역시 중구 해관로 89, 610호 (대창동1가, 중앙빌딩)
ValueCountFrequency (%)
부산광역시 1198
 
15.8%
부산진구 254
 
3.3%
중앙대로 175
 
2.3%
중구 143
 
1.9%
해운대구 139
 
1.8%
2층 131
 
1.7%
동구 115
 
1.5%
연제구 101
 
1.3%
동래구 99
 
1.3%
남구 72
 
0.9%
Other values (1872) 5175
68.1%
2024-04-16T15:46:16.457484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6674
 
16.5%
동 1667
 
4.1%
부 1652
 
4.1%
산 1593
 
3.9%
1 1429
 
3.5%
시 1294
 
3.2%
, 1260
 
3.1%
광 1258
 
3.1%
구 1231
 
3.0%
역 1205
 
3.0%
Other values (418) 21135
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23207
57.4%
Space Separator 6674
 
16.5%
Decimal Number 6369
 
15.8%
Other Punctuation 1266
 
3.1%
Open Punctuation 1198
 
3.0%
Close Punctuation 1198
 
3.0%
Dash Punctuation 175
 
0.4%
Uppercase Letter 169
 
0.4%
Lowercase Letter 141
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1667
 
7.2%
부 1652
 
7.1%
산 1593
 
6.9%
시 1294
 
5.6%
광 1258
 
5.4%
구 1231
 
5.3%
역 1205
 
5.2%
로 1203
 
5.2%
대 807
 
3.5%
호 569
 
2.5%
Other values (362) 10728
46.2%
Uppercase Letter
ValueCountFrequency (%)
S 33
19.5%
T 17
10.1%
K 15
8.9%
C 15
8.9%
B 13
 
7.7%
A 13
 
7.7%
E 10
 
5.9%
I 8
 
4.7%
V 6
 
3.6%
H 6
 
3.6%
Other values (12) 33
19.5%
Lowercase Letter
ValueCountFrequency (%)
e 31
22.0%
o 19
13.5%
l 11
 
7.8%
p 10
 
7.1%
i 10
 
7.1%
m 9
 
6.4%
n 9
 
6.4%
w 9
 
6.4%
a 9
 
6.4%
x 9
 
6.4%
Other values (7) 15
10.6%
Decimal Number
ValueCountFrequency (%)
1 1429
22.4%
2 987
15.5%
3 795
12.5%
0 712
11.2%
4 521
 
8.2%
5 476
 
7.5%
6 419
 
6.6%
7 365
 
5.7%
8 339
 
5.3%
9 326
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 1260
99.5%
/ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23207
57.4%
Common 16881
41.8%
Latin 310
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1667
 
7.2%
부 1652
 
7.1%
산 1593
 
6.9%
시 1294
 
5.6%
광 1258
 
5.4%
구 1231
 
5.3%
역 1205
 
5.2%
로 1203
 
5.2%
대 807
 
3.5%
호 569
 
2.5%
Other values (362) 10728
46.2%
Latin
ValueCountFrequency (%)
S 33
 
10.6%
e 31
 
10.0%
o 19
 
6.1%
T 17
 
5.5%
K 15
 
4.8%
C 15
 
4.8%
B 13
 
4.2%
A 13
 
4.2%
l 11
 
3.5%
p 10
 
3.2%
Other values (29) 133
42.9%
Common
ValueCountFrequency (%)
6674
39.5%
1 1429
 
8.5%
, 1260
 
7.5%
( 1198
 
7.1%
) 1198
 
7.1%
2 987
 
5.8%
3 795
 
4.7%
0 712
 
4.2%
4 521
 
3.1%
5 476
 
2.8%
Other values (7) 1631
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23207
57.4%
ASCII 17191
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6674
38.8%
1 1429
 
8.3%
, 1260
 
7.3%
( 1198
 
7.0%
) 1198
 
7.0%
2 987
 
5.7%
3 795
 
4.6%
0 712
 
4.1%
4 521
 
3.0%
5 476
 
2.8%
Other values (46) 1941
 
11.3%
Hangul
ValueCountFrequency (%)
동 1667
 
7.2%
부 1652
 
7.1%
산 1593
 
6.9%
시 1294
 
5.6%
광 1258
 
5.4%
구 1231
 
5.3%
역 1205
 
5.2%
로 1203
 
5.2%
대 807
 
3.5%
호 569
 
2.5%
Other values (362) 10728
46.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct478
Distinct (%)55.8%
Missing399
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean101792.07
Minimum46015
Maximum618142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:16.568976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46300.4
Q147257
median48086
Q348821
95-th percentile612050.2
Maximum618142
Range572127
Interquartile range (IQR)1564

Descriptive statistics

Standard deviation165832.41
Coefficient of variation (CV)1.6291289
Kurtosis5.5994566
Mean101792.07
Median Absolute Deviation (MAD)818
Skewness2.7541207
Sum87235807
Variance2.7500387 × 1010
MonotonicityNot monotonic
2024-04-16T15:46:16.684803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47216 16
 
1.3%
48059 10
 
0.8%
47246 10
 
0.8%
48092 10
 
0.8%
48924 10
 
0.8%
49037 9
 
0.7%
47257 9
 
0.7%
47541 9
 
0.7%
48095 8
 
0.6%
48508 8
 
0.6%
Other values (468) 758
60.4%
(Missing) 399
31.8%
ValueCountFrequency (%)
46015 3
0.2%
46024 2
0.2%
46056 1
 
0.1%
46060 1
 
0.1%
46063 1
 
0.1%
46070 1
 
0.1%
46072 1
 
0.1%
46073 1
 
0.1%
46080 1
 
0.1%
46213 1
 
0.1%
ValueCountFrequency (%)
618142 1
0.1%
617825 1
0.1%
617816 1
0.1%
617814 1
0.1%
617809 2
0.2%
617807 1
0.1%
617802 1
0.1%
617723 1
0.1%
616852 1
0.1%
616829 1
0.1%

사업장명
Text

Distinct1212
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:46:16.897348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1106688
Min length2

Characters and Unicode

Total characters10187
Distinct characters492
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1172 ?
Unique (%)93.3%

Sample

1st row(주)팔성국제관광
2nd row부산남항유람선 자갈치크루즈
3rd row(주)태진투어
4th row(주)마린크루즈
5th row(주)모바일트래블
ValueCountFrequency (%)
주식회사 92
 
6.1%
여행사 30
 
2.0%
투어 16
 
1.1%
주 15
 
1.0%
tour 6
 
0.4%
여행 6
 
0.4%
협동조합 5
 
0.3%
부산투어 5
 
0.3%
부산 3
 
0.2%
주)환태평양고속관광 3
 
0.2%
Other values (1267) 1324
88.0%
2024-04-16T15:46:17.239825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 870
 
8.5%
) 771
 
7.6%
( 771
 
7.6%
여 507
 
5.0%
행 505
 
5.0%
사 504
 
4.9%
어 413
 
4.1%
투 406
 
4.0%
249
 
2.4%
광 178
 
1.7%
Other values (482) 5013
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8198
80.5%
Close Punctuation 771
 
7.6%
Open Punctuation 771
 
7.6%
Space Separator 249
 
2.4%
Uppercase Letter 119
 
1.2%
Lowercase Letter 38
 
0.4%
Other Punctuation 18
 
0.2%
Decimal Number 15
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 870
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 504
 
6.1%
어 413
 
5.0%
투 406
 
5.0%
광 178
 
2.2%
관 174
 
2.1%
스 172
 
2.1%
이 170
 
2.1%
Other values (427) 4299
52.4%
Uppercase Letter
ValueCountFrequency (%)
T 24
20.2%
O 13
 
10.9%
B 7
 
5.9%
U 6
 
5.0%
I 6
 
5.0%
H 6
 
5.0%
R 6
 
5.0%
L 6
 
5.0%
W 6
 
5.0%
J 5
 
4.2%
Other values (12) 34
28.6%
Lowercase Letter
ValueCountFrequency (%)
r 7
18.4%
o 5
13.2%
u 4
10.5%
e 3
 
7.9%
t 3
 
7.9%
s 2
 
5.3%
a 2
 
5.3%
i 2
 
5.3%
k 1
 
2.6%
c 1
 
2.6%
Other values (8) 8
21.1%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
, 2
 
11.1%
: 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
2 5
33.3%
8 2
 
13.3%
0 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
→ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 771
100.0%
Open Punctuation
ValueCountFrequency (%)
( 771
100.0%
Space Separator
ValueCountFrequency (%)
249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8199
80.5%
Common 1831
 
18.0%
Latin 157
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 870
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 504
 
6.1%
어 413
 
5.0%
투 406
 
5.0%
광 178
 
2.2%
관 174
 
2.1%
스 172
 
2.1%
이 170
 
2.1%
Other values (428) 4300
52.4%
Latin
ValueCountFrequency (%)
T 24
 
15.3%
O 13
 
8.3%
r 7
 
4.5%
B 7
 
4.5%
U 6
 
3.8%
I 6
 
3.8%
H 6
 
3.8%
R 6
 
3.8%
L 6
 
3.8%
W 6
 
3.8%
Other values (30) 70
44.6%
Common
ValueCountFrequency (%)
) 771
42.1%
( 771
42.1%
249
 
13.6%
. 10
 
0.5%
1 7
 
0.4%
& 5
 
0.3%
2 5
 
0.3%
- 5
 
0.3%
8 2
 
0.1%
, 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8194
80.4%
ASCII 1987
 
19.5%
Compat Jamo 4
 
< 0.1%
None 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 870
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 504
 
6.2%
어 413
 
5.0%
투 406
 
5.0%
광 178
 
2.2%
관 174
 
2.1%
스 172
 
2.1%
이 170
 
2.1%
Other values (424) 4295
52.4%
ASCII
ValueCountFrequency (%)
) 771
38.8%
( 771
38.8%
249
 
12.5%
T 24
 
1.2%
O 13
 
0.7%
. 10
 
0.5%
r 7
 
0.4%
1 7
 
0.4%
B 7
 
0.4%
U 6
 
0.3%
Other values (43) 122
 
6.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
50.0%
ㄷ 1
25.0%
ㅌ 1
25.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1226
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016541 × 1013
Minimum2.0021018 × 1013
Maximum2.0221028 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:17.353605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040619 × 1013
Q12.0120884 × 1013
median2.0191009 × 1013
Q32.0220125 × 1013
95-th percentile2.0220811 × 1013
Maximum2.0221028 × 1013
Range2.0001004 × 1011
Interquartile range (IQR)9.9241495 × 1010

Descriptive statistics

Standard deviation6.1175227 × 1010
Coefficient of variation (CV)0.0030336714
Kurtosis-0.56169908
Mean2.016541 × 1013
Median Absolute Deviation (MAD)2.9703958 × 1010
Skewness-0.89640829
Sum2.5327755 × 1016
Variance3.7424084 × 1021
MonotonicityNot monotonic
2024-04-16T15:46:17.468540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161421 17
 
1.4%
20030127161348 15
 
1.2%
20210926175002 1
 
0.1%
20190902162555 1
 
0.1%
20140526174453 1
 
0.1%
20140721162644 1
 
0.1%
20220406160353 1
 
0.1%
20110308085507 1
 
0.1%
20180827180355 1
 
0.1%
20170406154948 1
 
0.1%
Other values (1216) 1216
96.8%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165012 1
 
0.1%
20030127161348 15
1.2%
20030127161421 17
1.4%
20030203150601 1
 
0.1%
20030312172512 1
 
0.1%
20030410112657 1
 
0.1%
20030422140401 1
 
0.1%
20030423092346 1
 
0.1%
20030516111251 1
 
0.1%
ValueCountFrequency (%)
20221028173724 1
0.1%
20221028103137 1
0.1%
20221027145920 1
0.1%
20221025161948 1
0.1%
20221024181530 1
0.1%
20221024135142 1
0.1%
20221024110940 1
0.1%
20221023160845 1
0.1%
20221021181846 1
0.1%
20221018165436 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
U
662 
I
594 

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 662
52.7%
I 594
47.3%

Length

2024-04-16T15:46:17.577313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:17.652564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 662
52.7%
i 594
47.3%

데이터갱신일자
Date

Distinct410
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-30 02:40:00
2024-04-16T15:46:17.745994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:46:17.867261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct889
Distinct (%)73.0%
Missing38
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean388418.43
Minimum345960.71
Maximum419502.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:17.967926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345960.71
5-th percentile380618.76
Q1385760.05
median388093.89
Q3390404.42
95-th percentile396962.54
Maximum419502.8
Range73542.098
Interquartile range (IQR)4644.3683

Descriptive statistics

Standard deviation4718.1184
Coefficient of variation (CV)0.012147
Kurtosis7.5417739
Mean388418.43
Median Absolute Deviation (MAD)2328.7501
Skewness-0.2879912
Sum4.7309364 × 108
Variance22260642
MonotonicityNot monotonic
2024-04-16T15:46:18.087757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 16
 
1.3%
387225.613588405 13
 
1.0%
385507.640529964 11
 
0.9%
386093.674147239 10
 
0.8%
385754.477258744 9
 
0.7%
396180.621244719 8
 
0.6%
393284.046237794 7
 
0.6%
385502.492319657 7
 
0.6%
388922.806889486 7
 
0.6%
396962.538162221 6
 
0.5%
Other values (879) 1124
89.5%
(Missing) 38
 
3.0%
ValueCountFrequency (%)
345960.705739 1
0.1%
371478.346756395 1
0.1%
373016.981172454 1
0.1%
373099.680011291 1
0.1%
373350.085112146 1
0.1%
373506.567424228 1
0.1%
374028.336209222 1
0.1%
374032.128682044 1
0.1%
374333.199064 1
0.1%
374553.784680152 1
0.1%
ValueCountFrequency (%)
419502.803661768 1
0.1%
407681.822826568 1
0.1%
402013.567273627 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401654.448837686 1
0.1%
401510.613962736 1
0.1%
401502.415893064 1
0.1%
401448.811664877 1
0.1%
401235.136344818 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct889
Distinct (%)73.0%
Missing38
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean186447.45
Minimum174307.15
Maximum265785.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:18.227484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179638
Q1182494.25
median186471.63
Q3189132.84
95-th percentile194673.96
Maximum265785.6
Range91478.456
Interquartile range (IQR)6638.597

Descriptive statistics

Standard deviation5293.1162
Coefficient of variation (CV)0.028389319
Kurtosis43.409515
Mean186447.45
Median Absolute Deviation (MAD)3071.4135
Skewness3.3531721
Sum2.27093 × 108
Variance28017079
MonotonicityNot monotonic
2024-04-16T15:46:18.341117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 16
 
1.3%
186408.726533861 13
 
1.0%
180548.792611588 11
 
0.9%
182068.358104572 10
 
0.8%
179113.980448494 9
 
0.7%
186522.35047527 8
 
0.6%
187432.534573096 7
 
0.6%
180297.579330876 7
 
0.6%
188106.837170815 7
 
0.6%
186759.94170898 6
 
0.5%
Other values (879) 1124
89.5%
(Missing) 38
 
3.0%
ValueCountFrequency (%)
174307.148168245 1
0.1%
174856.056137804 1
0.1%
175087.296427656 2
0.2%
176115.246760367 1
0.1%
176897.907425952 1
0.1%
177354.376036871 1
0.1%
177441.748341131 1
0.1%
177442.817428718 1
0.1%
177527.376138393 1
0.1%
177532.283470077 2
0.2%
ValueCountFrequency (%)
265785.603884 1
0.1%
226490.138380339 1
0.1%
205732.231316224 1
0.1%
204665.784677421 1
0.1%
204621.655738547 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
204186.113952008 1
0.1%
199051.512822937 1
0.1%
198984.033259358 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
국내여행업
1256 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 1256
100.0%

Length

2024-04-16T15:46:18.458510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:18.527228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1256
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
724 
관광사업
532 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 724
57.6%
관광사업 532
42.4%

Length

2024-04-16T15:46:18.622310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:18.716966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 724
57.6%
관광사업 532
42.4%

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1028 
일반주거지역
 
64
일반상업지역
 
41
상업지역
 
34
근린상업지역
 
31
Other values (9)
 
58

Length

Max length6
Median length4
Mean length4.2555732
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1028
81.8%
일반주거지역 64
 
5.1%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.2%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-04-16T15:46:18.814660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1028
81.8%
일반주거지역 64
 
5.1%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.2%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)5.1%
Missing769
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean2.5112936
Minimum0
Maximum54
Zeros287
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:18.910642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10
Maximum54
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.5990313
Coefficient of variation (CV)2.2295407
Kurtosis33.388508
Mean2.5112936
Median Absolute Deviation (MAD)0
Skewness5.0170956
Sum1223
Variance31.349152
MonotonicityNot monotonic
2024-04-16T15:46:19.006238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 287
 
22.9%
2 36
 
2.9%
4 34
 
2.7%
3 29
 
2.3%
5 21
 
1.7%
6 16
 
1.3%
1 15
 
1.2%
7 10
 
0.8%
10 7
 
0.6%
8 7
 
0.6%
Other values (15) 25
 
2.0%
(Missing) 769
61.2%
ValueCountFrequency (%)
0 287
22.9%
1 15
 
1.2%
2 36
 
2.9%
3 29
 
2.3%
4 34
 
2.7%
5 21
 
1.7%
6 16
 
1.3%
7 10
 
0.8%
8 7
 
0.6%
9 3
 
0.2%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
37 1
 
0.1%
33 1
 
0.1%
31 3
0.2%
27 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1098 
기타
 
85
학교정화(상대)
 
22
주택가주변
 
21
아파트지역
 
19
Other values (3)
 
11

Length

Max length8
Median length4
Mean length3.9984076
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> 1098
87.4%
기타 85
 
6.8%
학교정화(상대) 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대) 2
 
0.2%

Length

2024-04-16T15:46:19.359605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:19.453381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1098
87.4%
기타 85
 
6.8%
학교정화(상대 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대 2
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

보험기관명
Categorical

Distinct31
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
449 
서울보증보험주식회사
260 
서울보증보험
243 
한국관광협회중앙회 여행공제회
83 
한국관광협회중앙회
64 
Other values (26)
157 

Length

Max length19
Median length16
Mean length7.1616242
Min length4

Unique

Unique15 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 449
35.7%
서울보증보험주식회사 260
20.7%
서울보증보험 243
19.3%
한국관광협회중앙회 여행공제회 83
 
6.6%
한국관광협회중앙회 64
 
5.1%
한국관광협회 58
 
4.6%
서울보증보험(주) 20
 
1.6%
부산광역시관광협회 15
 
1.2%
한국관광협회중앙회여행공제회 11
 
0.9%
한국관광협회중앙회 관광공제회 10
 
0.8%
Other values (21) 43
 
3.4%

Length

2024-04-16T15:46:19.556120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 449
33.0%
서울보증보험주식회사 260
19.1%
서울보증보험 244
17.9%
한국관광협회중앙회 159
 
11.7%
여행공제회 84
 
6.2%
한국관광협회 59
 
4.3%
서울보증보험(주 20
 
1.5%
관광공제회 18
 
1.3%
부산광역시관광협회 15
 
1.1%
한국관광협회중앙회여행공제회 11
 
0.8%
Other values (20) 42
 
3.1%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1009 
근린생활시설
172 
사무실
 
55
교육연구시설
 
6
기타
 
5
Other values (6)
 
9

Length

Max length15
Median length4
Mean length4.2396497
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1009
80.3%
근린생활시설 172
 
13.7%
사무실 55
 
4.4%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
다가구용 주택(공동주택적용) 1
 
0.1%
콘도미니엄 1
 
0.1%
복지시설 1
 
0.1%

Length

2024-04-16T15:46:19.655128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1009
80.3%
근린생활시설 172
 
13.7%
사무실 55
 
4.4%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
다가구용 1
 
0.1%
주택(공동주택적용 1
 
0.1%
콘도미니엄 1
 
0.1%
Other values (2) 2
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)5.1%
Missing744
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean2.3828125
Minimum0
Maximum49
Zeros288
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:19.747062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10
Maximum49
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.0703406
Coefficient of variation (CV)2.1278806
Kurtosis28.651485
Mean2.3828125
Median Absolute Deviation (MAD)0
Skewness4.6068758
Sum1220
Variance25.708354
MonotonicityNot monotonic
2024-04-16T15:46:19.843105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 288
 
22.9%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 24
 
1.9%
1 18
 
1.4%
6 10
 
0.8%
9 8
 
0.6%
7 8
 
0.6%
10 6
 
0.5%
Other values (16) 25
 
2.0%
(Missing) 744
59.2%
ValueCountFrequency (%)
0 288
22.9%
1 18
 
1.4%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 24
 
1.9%
6 10
 
0.8%
7 8
 
0.6%
8 4
 
0.3%
9 8
 
0.6%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
32 1
 
0.1%
29 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
17 1
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.9%
Missing827
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean0.37529138
Minimum0
Maximum7
Zeros331
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:19.921969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.92798909
Coefficient of variation (CV)2.4727163
Kurtosis17.176113
Mean0.37529138
Median Absolute Deviation (MAD)0
Skewness3.7872887
Sum161
Variance0.86116376
MonotonicityNot monotonic
2024-04-16T15:46:20.001534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 331
26.4%
1 70
 
5.6%
2 14
 
1.1%
5 6
 
0.5%
3 4
 
0.3%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 827
65.8%
ValueCountFrequency (%)
0 331
26.4%
1 70
 
5.6%
2 14
 
1.1%
3 4
 
0.3%
4 2
 
0.2%
5 6
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.5%
4 2
 
0.2%
3 4
 
0.3%
2 14
 
1.1%
1 70
 
5.6%
0 331
26.4%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:20.095068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:20.170072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:20.246625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:20.319551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

영문상호명
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing1225
Missing (%)97.5%
Memory size9.9 KiB
2024-04-16T15:46:20.464986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length20.258065
Min length7

Characters and Unicode

Total characters628
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st rowSEOKWANG Travel
2nd rowEMTCO Limited
3rd rowLeaders Tour
4th rowBus Tour Travel Agency
5th rowGORYE AIR TRAVEL Co., Ltd
ValueCountFrequency (%)
tour 14
 
13.2%
travel 10
 
9.4%
co 7
 
6.6%
ltd 7
 
6.6%
co.,ltd 5
 
4.7%
agency 4
 
3.8%
inc 4
 
3.8%
service 3
 
2.8%
air 2
 
1.9%
busan 2
 
1.9%
Other values (45) 48
45.3%
2024-04-16T15:46:20.748292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
11.9%
T 39
 
6.2%
R 31
 
4.9%
O 31
 
4.9%
E 30
 
4.8%
L 29
 
4.6%
A 27
 
4.3%
. 23
 
3.7%
C 22
 
3.5%
a 19
 
3.0%
Other values (42) 302
48.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 351
55.9%
Lowercase Letter 164
26.1%
Space Separator 75
 
11.9%
Other Punctuation 36
 
5.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 39
11.1%
R 31
 
8.8%
O 31
 
8.8%
E 30
 
8.5%
L 29
 
8.3%
A 27
 
7.7%
C 22
 
6.3%
S 19
 
5.4%
U 19
 
5.4%
I 18
 
5.1%
Other values (14) 86
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 19
11.6%
e 17
10.4%
n 17
10.4%
r 16
9.8%
o 16
9.8%
t 11
 
6.7%
c 10
 
6.1%
d 10
 
6.1%
u 9
 
5.5%
l 7
 
4.3%
Other values (12) 32
19.5%
Other Punctuation
ValueCountFrequency (%)
. 23
63.9%
, 11
30.6%
& 2
 
5.6%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 515
82.0%
Common 113
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 39
 
7.6%
R 31
 
6.0%
O 31
 
6.0%
E 30
 
5.8%
L 29
 
5.6%
A 27
 
5.2%
C 22
 
4.3%
a 19
 
3.7%
S 19
 
3.7%
U 19
 
3.7%
Other values (36) 249
48.3%
Common
ValueCountFrequency (%)
75
66.4%
. 23
 
20.4%
, 11
 
9.7%
& 2
 
1.8%
( 1
 
0.9%
) 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
 
11.9%
T 39
 
6.2%
R 31
 
4.9%
O 31
 
4.9%
E 30
 
4.8%
L 29
 
4.6%
A 27
 
4.3%
. 23
 
3.7%
C 22
 
3.5%
a 19
 
3.0%
Other values (42) 302
48.1%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1225 
Domestic travel business
 
8
DOMESTIC TRAVEL BUSINESS
 
4
DOMESTIC TRAVEL AGENCY
 
3
Domestic Travel Agency
 
3
Other values (8)
 
13

Length

Max length30
Median length4
Mean length4.4792994
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1225
97.5%
Domestic travel business 8
 
0.6%
DOMESTIC TRAVEL BUSINESS 4
 
0.3%
DOMESTIC TRAVEL AGENCY 3
 
0.2%
Domestic Travel Agency 3
 
0.2%
Domestic Traval Agency 3
 
0.2%
Inland Travel Business 3
 
0.2%
WITHIN A COUNTRY TRAVEL AGENCY 2
 
0.2%
Domestic Travel Industry 1
 
0.1%
Domestic Travel Business 1
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-04-16T15:46:20.856134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1225
92.7%
travel 28
 
2.1%
domestic 24
 
1.8%
business 17
 
1.3%
agency 12
 
0.9%
traval 3
 
0.2%
inland 3
 
0.2%
within 2
 
0.2%
a 2
 
0.2%
country 2
 
0.2%
Other values (3) 3
 
0.2%

선박총톤수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:20.952514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:21.026647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:21.114272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:21.192811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:21.279182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:21.355505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:21.433191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:21.506551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:21.588615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:21.664424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct226
Distinct (%)41.2%
Missing708
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean170.74907
Minimum0
Maximum43511
Zeros263
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:21.790706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.37
Q356.025
95-th percentile154.127
Maximum43511
Range43511
Interquartile range (IQR)56.025

Descriptive statistics

Standard deviation2034.3633
Coefficient of variation (CV)11.914345
Kurtosis390.19057
Mean170.74907
Median Absolute Deviation (MAD)12.37
Skewness19.127935
Sum93570.49
Variance4138633.9
MonotonicityNot monotonic
2024-04-16T15:46:21.919158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 263
 
20.9%
33.0 12
 
1.0%
30.0 7
 
0.6%
50.0 6
 
0.5%
66.0 6
 
0.5%
20.0 5
 
0.4%
25.0 3
 
0.2%
12.0 3
 
0.2%
15.0 3
 
0.2%
49.5 3
 
0.2%
Other values (216) 237
 
18.9%
(Missing) 708
56.4%
ValueCountFrequency (%)
0.0 263
20.9%
2.58 1
 
0.1%
4.05 1
 
0.1%
6.0 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
8.0 1
 
0.1%
8.4 1
 
0.1%
10.0 1
 
0.1%
12.0 3
 
0.2%
ValueCountFrequency (%)
43511.0 1
0.1%
18592.0 1
0.1%
3920.67 1
0.1%
3480.76 1
0.1%
2988.0 1
0.1%
1022.9 1
0.1%
1013.0 1
0.1%
716.97 1
0.1%
268.5 1
0.1%
258.15 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
927 
0
329 

Length

Max length4
Median length4
Mean length3.214172
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 927
73.8%
0 329
 
26.2%

Length

2024-04-16T15:46:22.016057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:22.103422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 927
73.8%
0 329
 
26.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1255 
20200205
 
1

Length

Max length8
Median length4
Mean length4.0031847
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1255
99.9%
20200205 1
 
0.1%

Length

2024-04-16T15:46:22.219154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:22.324612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1255
99.9%
20200205 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1255 
20210204
 
1

Length

Max length8
Median length4
Mean length4.0031847
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1255
99.9%
20210204 1
 
0.1%

Length

2024-04-16T15:46:22.438372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:46:22.543970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1255
99.9%
20210204 1
 
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct147
Distinct (%)16.4%
Missing357
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean79492825
Minimum0
Maximum6.5122084 × 109
Zeros77
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:22.653231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130000000
median50000000
Q31 × 108
95-th percentile1.5 × 108
Maximum6.5122084 × 109
Range6.5122084 × 109
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation2.5629872 × 108
Coefficient of variation (CV)3.2241742
Kurtosis477.84899
Mean79492825
Median Absolute Deviation (MAD)33000000
Skewness20.448141
Sum7.146405 × 1010
Variance6.5689032 × 1016
MonotonicityNot monotonic
2024-04-16T15:46:22.797957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 192
15.3%
30000000 108
 
8.6%
150000000 103
 
8.2%
0 77
 
6.1%
100000000 72
 
5.7%
15000000 63
 
5.0%
90000000 53
 
4.2%
45000000 21
 
1.7%
20000000 18
 
1.4%
60000000 16
 
1.3%
Other values (137) 176
14.0%
(Missing) 357
28.4%
ValueCountFrequency (%)
0 77
6.1%
5000 1
 
0.1%
5300 1
 
0.1%
30000 1
 
0.1%
1500000 1
 
0.1%
1750000 1
 
0.1%
3000000 4
 
0.3%
5000000 1
 
0.1%
10000000 2
 
0.2%
15000000 63
5.0%
ValueCountFrequency (%)
6512208375 1
 
0.1%
3500000000 1
 
0.1%
1000000000 1
 
0.1%
950000000 1
 
0.1%
714165250 1
 
0.1%
505000000 1
 
0.1%
500000000 5
0.4%
490000000 1
 
0.1%
375256000 1
 
0.1%
300000000 3
0.2%

보험시작일자
Real number (ℝ)

MISSING 

Distinct695
Distinct (%)82.8%
Missing417
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean20189093
Minimum20021021
Maximum20221028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:22.959796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110894
Q120180212
median20200715
Q320210726
95-th percentile20220704
Maximum20221028
Range200007
Interquartile range (IQR)30513

Descriptive statistics

Standard deviation33760.224
Coefficient of variation (CV)0.0016722011
Kurtosis3.3388538
Mean20189093
Median Absolute Deviation (MAD)10413
Skewness-1.7401245
Sum1.6938649 × 1010
Variance1.1397527 × 109
MonotonicityNot monotonic
2024-04-16T15:46:23.073363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220401 6
 
0.5%
20210401 5
 
0.4%
20210201 4
 
0.3%
20220325 4
 
0.3%
20210323 4
 
0.3%
20190705 4
 
0.3%
20191125 3
 
0.2%
20211117 3
 
0.2%
20210805 3
 
0.2%
20210913 3
 
0.2%
Other values (685) 800
63.7%
(Missing) 417
33.2%
ValueCountFrequency (%)
20021021 1
0.1%
20030812 1
0.1%
20030925 1
0.1%
20040420 1
0.1%
20051201 1
0.1%
20070111 1
0.1%
20070601 1
0.1%
20070802 1
0.1%
20071116 1
0.1%
20080303 1
0.1%
ValueCountFrequency (%)
20221028 1
0.1%
20221027 1
0.1%
20221025 1
0.1%
20221024 1
0.1%
20221017 2
0.2%
20221014 1
0.1%
20221007 1
0.1%
20221004 2
0.2%
20220926 1
0.1%
20220925 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct682
Distinct (%)81.2%
Missing416
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean20200456
Minimum20031021
Maximum21210714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:23.187851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20121122
Q120190288
median20210717
Q320220804
95-th percentile20230715
Maximum21210714
Range1179693
Interquartile range (IQR)30516

Descriptive statistics

Standard deviation48490.332
Coefficient of variation (CV)0.0024004572
Kurtosis224.69604
Mean20200456
Median Absolute Deviation (MAD)10487
Skewness10.190598
Sum1.6968383 × 1010
Variance2.3513123 × 109
MonotonicityNot monotonic
2024-04-16T15:46:23.305107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230331 5
 
0.4%
20211130 5
 
0.4%
20220331 5
 
0.4%
20220705 5
 
0.4%
20200704 4
 
0.3%
20230517 4
 
0.3%
20211231 4
 
0.3%
20220322 4
 
0.3%
20220223 4
 
0.3%
20210717 3
 
0.2%
Other values (672) 797
63.5%
(Missing) 416
33.1%
ValueCountFrequency (%)
20031021 1
0.1%
20040812 1
0.1%
20040925 1
0.1%
20050420 1
0.1%
20061201 1
0.1%
20080111 1
0.1%
20080601 1
0.1%
20080802 1
0.1%
20081115 1
0.1%
20090704 1
0.1%
ValueCountFrequency (%)
21210714 1
0.1%
20240301 1
0.1%
20231221 1
0.1%
20231027 1
0.1%
20231026 1
0.1%
20231025 1
0.1%
20231024 1
0.1%
20231017 1
0.1%
20231016 1
0.1%
20231014 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)23.9%
Missing708
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean170.76277
Minimum0
Maximum43511
Zeros263
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-04-16T15:46:23.411258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q356
95-th percentile153.95
Maximum43511
Range43511
Interquartile range (IQR)56

Descriptive statistics

Standard deviation2034.3644
Coefficient of variation (CV)11.913395
Kurtosis390.1892
Mean170.76277
Median Absolute Deviation (MAD)12.5
Skewness19.127889
Sum93578
Variance4138638.4
MonotonicityNot monotonic
2024-04-16T15:46:23.510246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 263
 
20.9%
33 16
 
1.3%
50 13
 
1.0%
30 9
 
0.7%
20 9
 
0.7%
66 8
 
0.6%
40 7
 
0.6%
15 6
 
0.5%
26 5
 
0.4%
32 5
 
0.4%
Other values (121) 207
 
16.5%
(Missing) 708
56.4%
ValueCountFrequency (%)
0 263
20.9%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
10 1
 
0.1%
12 3
 
0.2%
13 3
 
0.2%
15 6
 
0.5%
ValueCountFrequency (%)
43511 1
0.1%
18592 1
0.1%
3921 1
0.1%
3481 1
0.1%
2988 1
0.1%
1023 1
0.1%
1013 1
0.1%
717 1
0.1%
269 1
0.1%
258 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1256
Missing (%)100.0%
Memory size11.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국내여행업03_12_01_P3250000CDFI226001200700001320071109<NA>2휴업2휴업<NA>2021010120211231<NA>051-469-7731<NA>600815부산광역시 중구 중앙동4가 53-30부산광역시 중구 중앙대로81번길 2 (중앙동4가)<NA>(주)팔성국제관광20210926175002U2021-09-28 02:40:00.0<NA>385556.341486180343.213568국내여행업관광사업<NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1500000002018110920191108<NA>0<NA>
12국내여행업03_12_01_P3250000CDFI226001201900000220190110<NA>3폐업3폐업20200106<NA><NA><NA>051241 0909<NA><NA>부산광역시 중구 남포동4가 44-3번지부산광역시 중구 자갈치해안로 60 (남포동4가)48984부산남항유람선 자갈치크루즈20200106150326U2020-01-08 02:40:00.0<NA>385191.013393179401.283402국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>162433582019011420200113<NA><NA><NA>
23국내여행업03_12_01_P3250000CDFI226001201900000320160725<NA>3폐업3폐업20211221<NA><NA><NA>051-852-2088<NA><NA>부산광역시 중구 대창동1가 51부산광역시 중구 해관로 89, 중앙빌딩 707호 (대창동1가)48924(주)태진투어20211221174538U2021-12-23 02:40:00.0<NA>385507.64053180548.792612국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>200000002021072520220724<NA>0<NA>
34국내여행업03_12_01_P3250000CDFI226001201900000620190829<NA>3폐업3폐업20190924<NA><NA><NA>051-464-6464<NA><NA>부산광역시 중구 중앙동4가 15-3번지부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)48940(주)마린크루즈20190924165841U2019-09-26 02:40:00.0<NA>386032.236799180263.270671국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA><NA><NA>
45국내여행업03_12_01_P3250000CDFI226001201600000120160112<NA>3폐업3폐업20211220<NA><NA><NA>051-463-0926<NA><NA>부산광역시 중구 대창동1가 51부산광역시 중구 해관로 89, 610호 (대창동1가, 중앙빌딩)48924(주)모바일트래블20211221103923U2021-12-23 02:40:00.0<NA>385507.64053180548.792612국내여행업<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>900000002021012020220119<NA><NA><NA>
56국내여행업03_12_01_P3250000CDFI226001201600000320160218<NA>3폐업3폐업20211109<NA><NA><NA>051-244-6318<NA><NA>부산광역시 중구 신창동1가 17-2부산광역시 중구 광복로49번길 19, 2층 (신창동1가)48947스타투어여행사20211110101705U2021-11-12 02:40:00.0<NA>385057.531775179860.881541국내여행업<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>1090000002021022220220221<NA><NA><NA>
67국내여행업03_12_01_P3250000CDFI226001199700000619970421<NA>3폐업3폐업20060704<NA><NA><NA>254-4061<NA>600045부산광역시 중구 남포동5가 39-6번지부산광역시 중구 중구로 2 (남포동5가)<NA>(주)초이스관광여행사20060704162946I2018-08-31 23:59:59.0<NA>384877.272224179536.794609국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78국내여행업03_12_01_P3250000CDFI226001199400000119940929<NA>3폐업3폐업20200317<NA><NA><NA>246-1003<NA>600046부산광역시 중구 남포동6가 113-1번지부산광역시 중구 구덕로 87-1 (남포동6가)<NA>(주)미래투어20200317173318U2020-03-19 02:40:00.0<NA>384708.848958179404.943227국내여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018100820191017<NA><NA><NA>
89국내여행업03_12_01_P3250000CDFI226001199700000719970801<NA>3폐업3폐업20060517<NA><NA><NA>442-5020<NA>600815부산광역시 중구 중앙동4가 37-16번지 동아제일빌딩 903호부산광역시 중구 중앙대로81번길 9, 903호 (중앙동4가,동아제일빌딩)<NA>(주)세진여행사20060517165132I2018-08-31 23:59:59.0<NA>385473.57641180297.978229국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910국내여행업03_12_01_P3250000CDFI226001199800000119980202<NA>3폐업3폐업20090129<NA><NA><NA>462-6661<NA>600814부산광역시 중구 중앙동4가 89-1번지부산광역시 중구 중앙대로 94 (중앙동4가)<NA>(주)아주좋은여행사20090129180902I2018-08-31 23:59:59.0<NA>385624.46871180447.914514국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
12461247국내여행업03_12_01_P3400000CDFI226001201600000120150330<NA>3폐업3폐업20191007<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 147번지부산광역시 기장군 기장읍 대청로36번길 51-546073(주)가온누리씨엔에스20191007130257U2019-10-09 02:40:00.0<NA>401510.613963195172.281033국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>493251232017080820180807<NA><NA><NA>
12471248국내여행업03_12_01_P3400000CDFI226001201600000220151118<NA>3폐업3폐업20161206<NA><NA><NA>051.746.4232<NA><NA>부산광역시 기장군 기장읍 청강리 114-1번지 405호부산광역시 기장군 기장읍 기장대로 482-5 (비룡 벨로스텔라)46080(주)동부산여행사20161206140106I2018-08-31 23:59:59.0<NA>402013.567274195503.641715국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2016072820170727<NA><NA><NA>
12481249국내여행업03_12_01_P3400000CDFI226001201900000220190115<NA>3폐업3폐업20200421<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 달산리 1024-11번지 205호부산광역시 기장군 정관읍 달산1길 37-1, 205호46024원여행사20200421195654U2020-04-23 02:40:00.0<NA>398367.581911204186.113952국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019112520201124<NA><NA><NA>
12491250국내여행업03_12_01_P3400000CDFI226001200200000320021028<NA>1영업/정상13영업중<NA><NA><NA><NA>051-724-5830<NA>619905부산광역시 기장군 기장읍 동부리 374-17부산광역시 기장군 기장읍 차성동로 116, 2층46063(주)나이스투어20220810113103U2022-08-12 02:40:00.0<NA>401723.130903196575.034392국내여행업관광사업상업지역1<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>013.09<NA>0<NA><NA><NA><NA><NA><NA>1500000002022040120230331<NA>13<NA>
12501251국내여행업03_12_01_P3400000CDFI226001201100000120111020<NA>1영업/정상13영업중<NA><NA><NA><NA>051-728-0903<NA><NA>부산광역시 기장군 정관읍 매학리 717-8부산광역시 기장군 정관읍 정관7로 34 (서진프라자)46015주식회사 유민여행사20220830111904U2022-09-01 02:40:00.0<NA>398043.112671204665.784677국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사근린생활시설0000<NA><NA>00<NA>00<NA>012.0<NA>0<NA><NA><NA><NA><NA><NA>300000002022060120230531<NA>12<NA>
12511252국내여행업03_12_01_P3400000CDFI226001202000000120200511<NA>1영업/정상13영업중<NA><NA><NA><NA>051-243-4972<NA><NA>부산광역시 기장군 정관읍 매학리 717-3부산광역시 기장군 정관읍 정관로 583, 503호46015킴스트래블20220824111200U2022-08-26 02:40:00.0<NA>397967.170797204592.491613국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>150000002022073120230730<NA>0<NA>
12521253국내여행업03_12_01_P3400000CDFI226001202100000120210603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 717-6부산광역시 기장군 정관읍 정관중앙로 45, 2층 205호46015비와이컴퍼니20210702152700U2021-07-04 02:40:00.0<NA>398024.244822204621.655739국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002021060320220602<NA><NA><NA>
12531254국내여행업03_12_01_P3400000CDFI226001202000000320180517<NA>1영업/정상13영업중<NA><NA><NA><NA>051-611-7979<NA><NA>부산광역시 기장군 기장읍 청강리 111-8부산광역시 기장군 기장읍 기장대로 495, 2301호46072주식회사 여행나무20220830113634U2022-09-01 02:40:00.0<NA>401991.877827195612.16367국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>062.95<NA>0<NA><NA><NA><NA><NA><NA>150000002022051820230517<NA>63<NA>
12541255국내여행업03_12_01_P3400000CDFI226001202000000420201026<NA>1영업/정상13영업중<NA><NA><NA><NA>051-721-4331<NA><NA>부산광역시 기장군 기장읍 동부리 394-6 부산공인중개사부산광역시 기장군 기장읍 반송로 160146056다된다투어20211116151238U2021-11-18 02:40:00.0<NA>401448.811665196699.414958국내여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>500000002021102820221027<NA>0<NA>
12551256국내여행업03_12_01_P3400000CDFI226001202200000219950218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 동부리 331-9 아토건설부산광역시 기장군 기장읍 반송로 1576, 아토건설 3층46060(주)세명항공여행사20220621100201I2022-06-22 00:22:40.0<NA>401235.136345196516.101464국내여행업관광사업<NA>0<NA><NA>한국관광협회중앙회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1500000002021070520220705<NA>0<NA>