Overview

Dataset statistics

Number of variables64
Number of observations1247
Missing cells26127
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory678.4 KiB
Average record size in memory557.1 B

Variable types

Numeric19
Categorical25
Text6
Unsupported13
DateTime1

Dataset

Description2022-03-01
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 (52.8%)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 (73.3%)Imbalance
건물용도명 is highly imbalanced (71.9%)Imbalance
영문상호주소 is highly imbalanced (93.3%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.1%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.1%)Imbalance
인허가취소일자 has 1201 (96.3%) missing valuesMissing
폐업일자 has 553 (44.3%) missing valuesMissing
재개업일자 has 1247 (100.0%) missing valuesMissing
소재지전화 has 321 (25.7%) missing valuesMissing
소재지면적 has 1247 (100.0%) missing valuesMissing
소재지우편번호 has 586 (47.0%) missing valuesMissing
도로명전체주소 has 56 (4.5%) missing valuesMissing
도로명우편번호 has 399 (32.0%) missing valuesMissing
업태구분명 has 1247 (100.0%) missing valuesMissing
좌표정보(x) has 38 (3.0%) missing valuesMissing
좌표정보(y) has 38 (3.0%) missing valuesMissing
총층수 has 877 (70.3%) missing valuesMissing
제작취급품목내용 has 1247 (100.0%) missing valuesMissing
지상층수 has 853 (68.4%) missing valuesMissing
지하층수 has 948 (76.0%) missing valuesMissing
영문상호명 has 1216 (97.5%) missing valuesMissing
선박제원 has 1247 (100.0%) missing valuesMissing
기념품종류 has 1247 (100.0%) missing valuesMissing
시설면적 has 802 (64.3%) missing valuesMissing
놀이기구수내역 has 1247 (100.0%) missing valuesMissing
방송시설유무 has 1247 (100.0%) missing valuesMissing
발전시설유무 has 1247 (100.0%) missing valuesMissing
의무실유무 has 1247 (100.0%) missing valuesMissing
안내소유무 has 1247 (100.0%) missing valuesMissing
자본금 has 389 (31.2%) missing valuesMissing
보험시작일자 has 419 (33.6%) missing valuesMissing
보험종료일자 has 418 (33.5%) missing valuesMissing
부대시설내역 has 1247 (100.0%) missing valuesMissing
시설규모 has 802 (64.3%) missing valuesMissing
Unnamed: 63 has 1247 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 20.06336996)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 173 (13.9%) zerosZeros
지상층수 has 173 (13.9%) zerosZeros
지하층수 has 203 (16.3%) zerosZeros
시설면적 has 164 (13.2%) zerosZeros
자본금 has 45 (3.6%) zerosZeros
시설규모 has 164 (13.2%) zerosZeros

Reproduction

Analysis started2024-04-16 06:48:29.920255
Analysis finished2024-04-16 06:48:31.015571
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624
Minimum1
Maximum1247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:31.072154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.3
Q1312.5
median624
Q3935.5
95-th percentile1184.7
Maximum1247
Range1246
Interquartile range (IQR)623

Descriptive statistics

Standard deviation360.1222
Coefficient of variation (CV)0.57711891
Kurtosis-1.2
Mean624
Median Absolute Deviation (MAD)312
Skewness0
Sum778128
Variance129688
MonotonicityStrictly increasing
2024-04-16T15:48:31.201275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
830 1
 
0.1%
837 1
 
0.1%
836 1
 
0.1%
835 1
 
0.1%
834 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
829 1
 
0.1%
Other values (1237) 1237
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 (%)
1247 1
0.1%
1246 1
0.1%
1245 1
0.1%
1244 1
0.1%
1243 1
0.1%
1242 1
0.1%
1241 1
0.1%
1240 1
0.1%
1239 1
0.1%
1238 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
국내여행업
1247 

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 1247
100.0%

Length

2024-04-16T15:48:31.337245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:31.433187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1247
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
03_12_01_P
1247 

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 1247
100.0%

Length

2024-04-16T15:48:31.532623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:31.627636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 1247
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310064.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:31.698807image/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 deviation41108.193
Coefficient of variation (CV)0.012419153
Kurtosis-0.84824645
Mean3310064.2
Median Absolute Deviation (MAD)30000
Skewness0.37837732
Sum4.12765 × 109
Variance1.6898835 × 109
MonotonicityIncreasing
2024-04-16T15:48:31.787313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 269
21.6%
3250000 145
11.6%
3330000 139
11.1%
3270000 130
10.4%
3300000 99
 
7.9%
3370000 99
 
7.9%
3310000 75
 
6.0%
3350000 60
 
4.8%
3380000 57
 
4.6%
3340000 37
 
3.0%
Other values (6) 137
11.0%
ValueCountFrequency (%)
3250000 145
11.6%
3260000 13
 
1.0%
3270000 130
10.4%
3280000 20
 
1.6%
3290000 269
21.6%
3300000 99
 
7.9%
3310000 75
 
6.0%
3320000 35
 
2.8%
3330000 139
11.1%
3340000 37
 
3.0%
ValueCountFrequency (%)
3400000 14
 
1.1%
3390000 34
 
2.7%
3380000 57
4.6%
3370000 99
7.9%
3360000 21
 
1.7%
3350000 60
4.8%
3340000 37
 
3.0%
3330000 139
11.1%
3320000 35
 
2.8%
3310000 75
6.0%

관리번호
Text

Distinct359
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:48:31.959082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters24940
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

Unique113 ?
Unique (%)9.1%

Sample

1st rowCDFI2260012007000013
2nd rowCDFI2260012019000002
3rd rowCDFI2260012019000003
4th rowCDFI2260012019000006
5th rowCDFI2260012016000001
ValueCountFrequency (%)
cdfi2260012011000001 15
 
1.2%
cdfi2260012019000001 14
 
1.1%
cdfi2260012020000001 14
 
1.1%
cdfi2260012016000001 13
 
1.0%
cdfi2260012021000003 12
 
1.0%
cdfi2260012001000001 12
 
1.0%
cdfi2260012019000002 12
 
1.0%
cdfi2260012018000002 12
 
1.0%
cdfi2260012014000001 11
 
0.9%
cdfi2260012015000001 11
 
0.9%
Other values (349) 1121
89.9%
2024-04-16T15:48:32.279477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10246
41.1%
2 4090
 
16.4%
1 2573
 
10.3%
6 1478
 
5.9%
C 1247
 
5.0%
D 1247
 
5.0%
F 1247
 
5.0%
I 1247
 
5.0%
9 429
 
1.7%
4 252
 
1.0%
Other values (4) 884
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19952
80.0%
Uppercase Letter 4988
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10246
51.4%
2 4090
 
20.5%
1 2573
 
12.9%
6 1478
 
7.4%
9 429
 
2.2%
4 252
 
1.3%
5 243
 
1.2%
3 241
 
1.2%
7 228
 
1.1%
8 172
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1247
25.0%
D 1247
25.0%
F 1247
25.0%
I 1247
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19952
80.0%
Latin 4988
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10246
51.4%
2 4090
 
20.5%
1 2573
 
12.9%
6 1478
 
7.4%
9 429
 
2.2%
4 252
 
1.3%
5 243
 
1.2%
3 241
 
1.2%
7 228
 
1.1%
8 172
 
0.9%
Latin
ValueCountFrequency (%)
C 1247
25.0%
D 1247
25.0%
F 1247
25.0%
I 1247
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10246
41.1%
2 4090
 
16.4%
1 2573
 
10.3%
6 1478
 
5.9%
C 1247
 
5.0%
D 1247
 
5.0%
F 1247
 
5.0%
I 1247
 
5.0%
9 429
 
1.7%
4 252
 
1.0%
Other values (4) 884
 
3.5%

인허가일자
Real number (ℝ)

Distinct1100
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096345
Minimum19840924
Maximum20220124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:32.416314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840924
5-th percentile19970422
Q120050116
median20101209
Q320160112
95-th percentile20200380
Maximum20220124
Range379200
Interquartile range (IQR)109995.5

Descriptive statistics

Standard deviation72462.945
Coefficient of variation (CV)0.0036057773
Kurtosis-0.49104784
Mean20096345
Median Absolute Deviation (MAD)58903
Skewness-0.45227946
Sum2.5060142 × 1010
Variance5.2508784 × 109
MonotonicityNot monotonic
2024-04-16T15:48:32.556083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190328 4
 
0.3%
20051123 4
 
0.3%
20120402 3
 
0.2%
20060508 3
 
0.2%
20180626 3
 
0.2%
20160831 3
 
0.2%
20090113 3
 
0.2%
20160713 3
 
0.2%
20160729 3
 
0.2%
20151006 3
 
0.2%
Other values (1090) 1215
97.4%
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 (%)
20220124 1
0.1%
20220112 1
0.1%
20211230 1
0.1%
20211220 1
0.1%
20211117 1
0.1%
20211026 1
0.1%
20210914 2
0.2%
20210812 1
0.1%
20210804 2
0.2%
20210727 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing1201
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean20142395
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:32.701014image/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
2024-04-16T15:48:32.850168image/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) 1201
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
690 
1
486 
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 (%)
3 690
55.3%
1 486
39.0%
4 66
 
5.3%
2 5
 
0.4%

Length

2024-04-16T15:48:32.995746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:33.073102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 690
55.3%
1 486
39.0%
4 66
 
5.3%
2 5
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업
690 
영업/정상
486 
취소/말소/만료/정지/중지
 
66
휴업
 
5

Length

Max length14
Median length2
Mean length3.8043304
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 690
55.3%
영업/정상 486
39.0%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 5
 
0.4%

Length

2024-04-16T15:48:33.173281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:33.270086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 690
55.3%
영업/정상 486
39.0%
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%
Mean8.3809142
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:33.338356image/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 deviation7.2078779
Coefficient of variation (CV)0.8600348
Kurtosis2.5922723
Mean8.3809142
Median Absolute Deviation (MAD)0
Skewness1.5469712
Sum10451
Variance51.953504
MonotonicityNot monotonic
2024-04-16T15:48:33.415771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 690
55.3%
13 486
39.0%
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%
3 690
55.3%
13 486
39.0%
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%
13 486
39.0%
3 690
55.3%
2 5
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업
690 
영업중
486 
등록취소
 
45
허가취소
 
15
휴업
 
5
Other values (2)
 
6

Length

Max length4
Median length2
Mean length2.4955894
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 690
55.3%
영업중 486
39.0%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 5
 
0.4%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

Length

2024-04-16T15:48:33.516283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:33.614700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 690
55.3%
영업중 486
39.0%
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 

Distinct601
Distinct (%)86.6%
Missing553
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean20128827
Minimum19971211
Maximum20220128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:33.715215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971211
5-th percentile20010980
Q120071217
median20140404
Q320190612
95-th percentile20211227
Maximum20220128
Range248917
Interquartile range (IQR)119394.5

Descriptive statistics

Standard deviation65496.035
Coefficient of variation (CV)0.0032538426
Kurtosis-1.057581
Mean20128827
Median Absolute Deviation (MAD)59238
Skewness-0.33618384
Sum1.3969406 × 1010
Variance4.2897307 × 109
MonotonicityNot monotonic
2024-04-16T15:48:33.849386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 9
 
0.7%
20211231 5
 
0.4%
20001129 5
 
0.4%
20211227 4
 
0.3%
20211112 4
 
0.3%
20220127 4
 
0.3%
20190630 3
 
0.2%
20190709 3
 
0.2%
20220118 3
 
0.2%
20220119 3
 
0.2%
Other values (591) 651
52.2%
(Missing) 553
44.3%
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 (%)
20220128 2
0.2%
20220127 4
0.3%
20220126 1
 
0.1%
20220125 2
0.2%
20220124 1
 
0.1%
20220121 1
 
0.1%
20220120 1
 
0.1%
20220119 3
0.2%
20220118 3
0.2%
20220117 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1242 
20210101
 
1
20201201
 
1
20200401
 
1
20130902
 
1

Length

Max length8
Median length4
Mean length4.0160385
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> 1242
99.6%
20210101 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130902 1
 
0.1%
20130510 1
 
0.1%

Length

2024-04-16T15:48:33.960581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:34.076934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1242
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>
1242 
20211231
 
1
20221130
 
1
20210930
 
1
20140904
 
1

Length

Max length8
Median length4
Mean length4.0160385
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> 1242
99.6%
20211231 1
 
0.1%
20221130 1
 
0.1%
20210930 1
 
0.1%
20140904 1
 
0.1%
20140509 1
 
0.1%

Length

2024-04-16T15:48:34.205329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:34.311042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1242
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 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

소재지전화
Text

MISSING 

Distinct895
Distinct (%)96.7%
Missing321
Missing (%)25.7%
Memory size9.9 KiB
2024-04-16T15:48:34.526156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.641469
Min length1

Characters and Unicode

Total characters9854
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

Unique868 ?
Unique (%)93.7%

Sample

1st row051-469-7731
2nd row051241 0909
3rd row051-852-2088
4th row051-464-6464
5th row051-463-0926
ValueCountFrequency (%)
051 30
 
3.1%
5
 
0.5%
740-6353 3
 
0.3%
051-816-0019 2
 
0.2%
637-6200 2
 
0.2%
051-256-2626 2
 
0.2%
261 2
 
0.2%
051-743-1159 2
 
0.2%
051-311-2133 2
 
0.2%
529-7000 2
 
0.2%
Other values (911) 931
94.7%
2024-04-16T15:48:34.921264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1555
15.8%
- 1418
14.4%
1 1324
13.4%
5 1298
13.2%
6 721
7.3%
8 711
7.2%
4 658
6.7%
2 627
6.4%
7 599
 
6.1%
3 485
 
4.9%
Other values (6) 458
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8350
84.7%
Dash Punctuation 1418
 
14.4%
Space Separator 57
 
0.6%
Close Punctuation 16
 
0.2%
Other Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1555
18.6%
1 1324
15.9%
5 1298
15.5%
6 721
8.6%
8 711
8.5%
4 658
7.9%
2 627
7.5%
7 599
 
7.2%
3 485
 
5.8%
9 372
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 1418
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1555
15.8%
- 1418
14.4%
1 1324
13.4%
5 1298
13.2%
6 721
7.3%
8 711
7.2%
4 658
6.7%
2 627
6.4%
7 599
 
6.1%
3 485
 
4.9%
Other values (6) 458
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1555
15.8%
- 1418
14.4%
1 1324
13.4%
5 1298
13.2%
6 721
7.3%
8 711
7.2%
4 658
6.7%
2 627
6.4%
7 599
 
6.1%
3 485
 
4.9%
Other values (6) 458
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)46.3%
Missing586
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean609823.75
Minimum600011
Maximum701814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:35.048540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600100
Q1604010
median611802
Q3614826
95-th percentile616852
Maximum701814
Range101803
Interquartile range (IQR)10816

Descriptive statistics

Standard deviation7787.5354
Coefficient of variation (CV)0.012770141
Kurtosis49.676253
Mean609823.75
Median Absolute Deviation (MAD)3053
Skewness4.6672345
Sum4.030935 × 108
Variance60645707
MonotonicityNot monotonic
2024-04-16T15:48:35.160426image/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 (296) 550
44.1%
(Missing) 586
47.0%
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

Distinct1166
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:48:35.427045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length25.867682
Min length12

Characters and Unicode

Total characters32257
Distinct characters389
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

Unique1109 ?
Unique (%)88.9%

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 1244
 
20.0%
부산진구 269
 
4.3%
중구 145
 
2.3%
해운대구 139
 
2.2%
동구 131
 
2.1%
동래구 100
 
1.6%
연제구 99
 
1.6%
부전동 96
 
1.5%
초량동 90
 
1.4%
남구 74
 
1.2%
Other values (1795) 3827
61.6%
2024-04-16T15:48:35.817942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4967
 
15.4%
부 1687
 
5.2%
산 1639
 
5.1%
1 1614
 
5.0%
동 1589
 
4.9%
시 1288
 
4.0%
광 1278
 
4.0%
구 1261
 
3.9%
역 1253
 
3.9%
- 1097
 
3.4%
Other values (379) 14584
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18911
58.6%
Decimal Number 6924
 
21.5%
Space Separator 4967
 
15.4%
Dash Punctuation 1097
 
3.4%
Uppercase Letter 160
 
0.5%
Lowercase Letter 154
 
0.5%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1687
 
8.9%
산 1639
 
8.7%
동 1589
 
8.4%
시 1288
 
6.8%
광 1278
 
6.8%
구 1261
 
6.7%
역 1253
 
6.6%
지 714
 
3.8%
번 672
 
3.6%
호 376
 
2.0%
Other values (324) 7154
37.8%
Uppercase Letter
ValueCountFrequency (%)
S 35
21.9%
T 20
12.5%
K 14
 
8.8%
C 14
 
8.8%
A 11
 
6.9%
B 11
 
6.9%
E 8
 
5.0%
I 7
 
4.4%
O 6
 
3.8%
H 5
 
3.1%
Other values (11) 29
18.1%
Lowercase Letter
ValueCountFrequency (%)
e 33
21.4%
o 21
13.6%
l 12
 
7.8%
p 11
 
7.1%
i 11
 
7.1%
w 10
 
6.5%
d 10
 
6.5%
x 10
 
6.5%
n 10
 
6.5%
a 10
 
6.5%
Other values (7) 16
10.4%
Decimal Number
ValueCountFrequency (%)
1 1614
23.3%
2 957
13.8%
3 764
11.0%
4 690
10.0%
0 644
 
9.3%
5 507
 
7.3%
7 480
 
6.9%
8 476
 
6.9%
6 455
 
6.6%
9 337
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 4
33.3%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1097
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18911
58.6%
Common 13032
40.4%
Latin 314
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1687
 
8.9%
산 1639
 
8.7%
동 1589
 
8.4%
시 1288
 
6.8%
광 1278
 
6.8%
구 1261
 
6.7%
역 1253
 
6.6%
지 714
 
3.8%
번 672
 
3.6%
호 376
 
2.0%
Other values (324) 7154
37.8%
Latin
ValueCountFrequency (%)
S 35
 
11.1%
e 33
 
10.5%
o 21
 
6.7%
T 20
 
6.4%
K 14
 
4.5%
C 14
 
4.5%
l 12
 
3.8%
p 11
 
3.5%
A 11
 
3.5%
i 11
 
3.5%
Other values (28) 132
42.0%
Common
ValueCountFrequency (%)
4967
38.1%
1 1614
 
12.4%
- 1097
 
8.4%
2 957
 
7.3%
3 764
 
5.9%
4 690
 
5.3%
0 644
 
4.9%
5 507
 
3.9%
7 480
 
3.7%
8 476
 
3.7%
Other values (7) 836
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18911
58.6%
ASCII 13346
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4967
37.2%
1 1614
 
12.1%
- 1097
 
8.2%
2 957
 
7.2%
3 764
 
5.7%
4 690
 
5.2%
0 644
 
4.8%
5 507
 
3.8%
7 480
 
3.6%
8 476
 
3.6%
Other values (45) 1150
 
8.6%
Hangul
ValueCountFrequency (%)
부 1687
 
8.9%
산 1639
 
8.7%
동 1589
 
8.4%
시 1288
 
6.8%
광 1278
 
6.8%
구 1261
 
6.7%
역 1253
 
6.6%
지 714
 
3.8%
번 672
 
3.6%
호 376
 
2.0%
Other values (324) 7154
37.8%

도로명전체주소
Text

MISSING 

Distinct1149
Distinct (%)96.5%
Missing56
Missing (%)4.5%
Memory size9.9 KiB
2024-04-16T15:48:36.279304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length33.625525
Min length21

Characters and Unicode

Total characters40048
Distinct characters424
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1114 ?
Unique (%)93.5%

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 1189
 
15.8%
부산진구 252
 
3.3%
중앙대로 173
 
2.3%
중구 143
 
1.9%
해운대구 137
 
1.8%
2층 128
 
1.7%
동구 116
 
1.5%
연제구 99
 
1.3%
동래구 97
 
1.3%
부전동 72
 
1.0%
Other values (1857) 5129
68.1%
2024-04-16T15:48:36.649362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6616
 
16.5%
동 1656
 
4.1%
부 1644
 
4.1%
산 1581
 
3.9%
1 1421
 
3.5%
시 1283
 
3.2%
광 1248
 
3.1%
, 1248
 
3.1%
구 1222
 
3.1%
역 1197
 
3.0%
Other values (414) 20932
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22986
57.4%
Space Separator 6616
 
16.5%
Decimal Number 6316
 
15.8%
Other Punctuation 1254
 
3.1%
Close Punctuation 1189
 
3.0%
Open Punctuation 1189
 
3.0%
Dash Punctuation 175
 
0.4%
Uppercase Letter 166
 
0.4%
Lowercase Letter 155
 
0.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1656
 
7.2%
부 1644
 
7.2%
산 1581
 
6.9%
시 1283
 
5.6%
광 1248
 
5.4%
구 1222
 
5.3%
역 1197
 
5.2%
로 1195
 
5.2%
대 802
 
3.5%
호 563
 
2.4%
Other values (359) 10595
46.1%
Uppercase Letter
ValueCountFrequency (%)
S 35
21.1%
T 18
10.8%
C 16
9.6%
K 15
9.0%
A 13
 
7.8%
B 13
 
7.8%
E 9
 
5.4%
I 7
 
4.2%
H 6
 
3.6%
O 5
 
3.0%
Other values (11) 29
17.5%
Lowercase Letter
ValueCountFrequency (%)
e 34
21.9%
o 21
13.5%
l 12
 
7.7%
p 11
 
7.1%
i 11
 
7.1%
w 10
 
6.5%
n 10
 
6.5%
x 10
 
6.5%
m 10
 
6.5%
d 10
 
6.5%
Other values (7) 16
10.3%
Decimal Number
ValueCountFrequency (%)
1 1421
22.5%
2 978
15.5%
3 790
12.5%
0 702
11.1%
4 520
 
8.2%
5 469
 
7.4%
6 416
 
6.6%
7 365
 
5.8%
8 337
 
5.3%
9 318
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1248
99.5%
/ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6616
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22986
57.4%
Common 16741
41.8%
Latin 321
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1656
 
7.2%
부 1644
 
7.2%
산 1581
 
6.9%
시 1283
 
5.6%
광 1248
 
5.4%
구 1222
 
5.3%
역 1197
 
5.2%
로 1195
 
5.2%
대 802
 
3.5%
호 563
 
2.4%
Other values (359) 10595
46.1%
Latin
ValueCountFrequency (%)
S 35
 
10.9%
e 34
 
10.6%
o 21
 
6.5%
T 18
 
5.6%
C 16
 
5.0%
K 15
 
4.7%
A 13
 
4.0%
B 13
 
4.0%
l 12
 
3.7%
p 11
 
3.4%
Other values (28) 133
41.4%
Common
ValueCountFrequency (%)
6616
39.5%
1 1421
 
8.5%
, 1248
 
7.5%
) 1189
 
7.1%
( 1189
 
7.1%
2 978
 
5.8%
3 790
 
4.7%
0 702
 
4.2%
4 520
 
3.1%
5 469
 
2.8%
Other values (7) 1619
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22986
57.4%
ASCII 17062
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6616
38.8%
1 1421
 
8.3%
, 1248
 
7.3%
) 1189
 
7.0%
( 1189
 
7.0%
2 978
 
5.7%
3 790
 
4.6%
0 702
 
4.1%
4 520
 
3.0%
5 469
 
2.7%
Other values (45) 1940
 
11.4%
Hangul
ValueCountFrequency (%)
동 1656
 
7.2%
부 1644
 
7.2%
산 1581
 
6.9%
시 1283
 
5.6%
광 1248
 
5.4%
구 1222
 
5.3%
역 1197
 
5.2%
로 1195
 
5.2%
대 802
 
3.5%
호 563
 
2.4%
Other values (359) 10595
46.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct473
Distinct (%)55.8%
Missing399
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean102364.59
Minimum46015
Maximum618142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:36.769711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46299.05
Q147257
median48090
Q348821.25
95-th percentile612050.65
Maximum618142
Range572127
Interquartile range (IQR)1564.25

Descriptive statistics

Standard deviation166617.38
Coefficient of variation (CV)1.6276857
Kurtosis5.4906959
Mean102364.59
Median Absolute Deviation (MAD)832
Skewness2.7343277
Sum86805171
Variance2.7761351 × 1010
MonotonicityNot monotonic
2024-04-16T15:48:36.884465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47216 17
 
1.4%
48059 10
 
0.8%
49037 10
 
0.8%
48924 10
 
0.8%
47246 10
 
0.8%
48092 9
 
0.7%
47257 9
 
0.7%
48095 8
 
0.6%
48508 8
 
0.6%
47541 8
 
0.6%
Other values (463) 749
60.1%
(Missing) 399
32.0%
ValueCountFrequency (%)
46015 3
0.2%
46022 1
 
0.1%
46024 2
0.2%
46056 1
 
0.1%
46063 1
 
0.1%
46070 1
 
0.1%
46072 1
 
0.1%
46073 1
 
0.1%
46080 1
 
0.1%
46213 1
 
0.1%
ValueCountFrequency (%)
618142 1
0.1%
617825 1
0.1%
617816 1
0.1%
617814 1
0.1%
617809 2
0.2%
617807 1
0.1%
617802 1
0.1%
617723 1
0.1%
616852 1
0.1%
616829 1
0.1%

사업장명
Text

Distinct1203
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-16T15:48:37.098747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1186848
Min length2

Characters and Unicode

Total characters10124
Distinct characters487
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

Unique1163 ?
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 89
 
6.0%
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%
주)환태평양고속관광 3
 
0.2%
부산 3
 
0.2%
Other values (1258) 1315
88.1%
2024-04-16T15:48:37.421618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 864
 
8.5%
) 768
 
7.6%
( 768
 
7.6%
여 507
 
5.0%
행 505
 
5.0%
사 501
 
4.9%
어 410
 
4.0%
투 403
 
4.0%
246
 
2.4%
광 178
 
1.8%
Other values (477) 4974
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8147
80.5%
Close Punctuation 768
 
7.6%
Open Punctuation 768
 
7.6%
Space Separator 246
 
2.4%
Uppercase Letter 116
 
1.1%
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 864
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 501
 
6.1%
어 410
 
5.0%
투 403
 
4.9%
광 178
 
2.2%
관 174
 
2.1%
스 171
 
2.1%
이 170
 
2.1%
Other values (423) 4264
52.3%
Uppercase Letter
ValueCountFrequency (%)
T 24
20.7%
O 13
11.2%
B 7
 
6.0%
R 6
 
5.2%
U 6
 
5.2%
L 6
 
5.2%
H 6
 
5.2%
W 6
 
5.2%
G 5
 
4.3%
I 5
 
4.3%
Other values (11) 32
27.6%
Lowercase Letter
ValueCountFrequency (%)
r 7
18.4%
o 5
13.2%
u 4
10.5%
e 3
 
7.9%
t 3
 
7.9%
a 2
 
5.3%
i 2
 
5.3%
s 2
 
5.3%
b 1
 
2.6%
n 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 (%)
) 768
100.0%
Open Punctuation
ValueCountFrequency (%)
( 768
100.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8148
80.5%
Common 1822
 
18.0%
Latin 154
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 864
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 501
 
6.1%
어 410
 
5.0%
투 403
 
4.9%
광 178
 
2.2%
관 174
 
2.1%
스 171
 
2.1%
이 170
 
2.1%
Other values (424) 4265
52.3%
Latin
ValueCountFrequency (%)
T 24
 
15.6%
O 13
 
8.4%
r 7
 
4.5%
B 7
 
4.5%
R 6
 
3.9%
U 6
 
3.9%
L 6
 
3.9%
H 6
 
3.9%
W 6
 
3.9%
G 5
 
3.2%
Other values (29) 68
44.2%
Common
ValueCountFrequency (%)
) 768
42.2%
( 768
42.2%
246
 
13.5%
. 10
 
0.5%
1 7
 
0.4%
2 5
 
0.3%
& 5
 
0.3%
- 5
 
0.3%
8 2
 
0.1%
, 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8143
80.4%
ASCII 1975
 
19.5%
Compat Jamo 4
 
< 0.1%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 864
 
10.6%
여 507
 
6.2%
행 505
 
6.2%
사 501
 
6.2%
어 410
 
5.0%
투 403
 
4.9%
광 178
 
2.2%
관 174
 
2.1%
스 171
 
2.1%
이 170
 
2.1%
Other values (420) 4260
52.3%
ASCII
ValueCountFrequency (%)
) 768
38.9%
( 768
38.9%
246
 
12.5%
T 24
 
1.2%
O 13
 
0.7%
. 10
 
0.5%
1 7
 
0.4%
r 7
 
0.4%
B 7
 
0.4%
R 6
 
0.3%
Other values (42) 119
 
6.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
50.0%
ㄷ 1
25.0%
ㅌ 1
25.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1217
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162085 × 1013
Minimum2.0021018 × 1013
Maximum2.0220129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:37.539791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040616 × 1013
Q12.0120817 × 1013
median2.0190828 × 1013
Q32.0210519 × 1013
95-th percentile2.0211222 × 1013
Maximum2.0220129 × 1013
Range1.99111 × 1011
Interquartile range (IQR)8.9702068 × 1010

Descriptive statistics

Standard deviation5.8818344 × 1010
Coefficient of variation (CV)0.0029172749
Kurtosis-0.47605101
Mean2.0162085 × 1013
Median Absolute Deviation (MAD)2.0288972 × 1010
Skewness-0.95087546
Sum2.514212 × 1016
Variance3.4595976 × 1021
MonotonicityNot monotonic
2024-04-16T15:48:37.655916image/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%
20201014094421 1
 
0.1%
20220125163755 1
 
0.1%
20211231133819 1
 
0.1%
20210209094038 1
 
0.1%
20140729132128 1
 
0.1%
20150723091857 1
 
0.1%
20130415160137 1
 
0.1%
Other values (1207) 1207
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 (%)
20220129132945 1
0.1%
20220129132937 1
0.1%
20220128152757 1
0.1%
20220128150935 1
0.1%
20220128142643 1
0.1%
20220128115310 1
0.1%
20220127170025 1
0.1%
20220127163530 1
0.1%
20220127104310 1
0.1%
20220126172032 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
U
639 
I
608 

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 639
51.2%
I 608
48.8%

Length

2024-04-16T15:48:37.768037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:37.842980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 639
51.2%
i 608
48.8%

데이터갱신일자
Date

Distinct388
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-31 02:40:00
2024-04-16T15:48:37.927159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:48:38.035841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct887
Distinct (%)73.4%
Missing38
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean388390.3
Minimum345960.71
Maximum419502.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:38.137245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345960.71
5-th percentile380522.13
Q1385754.48
median388066.17
Q3390403.02
95-th percentile396962.54
Maximum419502.8
Range73542.098
Interquartile range (IQR)4648.5382

Descriptive statistics

Standard deviation4715.7943
Coefficient of variation (CV)0.012141895
Kurtosis7.5625132
Mean388390.3
Median Absolute Deviation (MAD)2317.1351
Skewness-0.27837901
Sum4.6956387 × 108
Variance22238716
MonotonicityNot monotonic
2024-04-16T15:48:38.242253image/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 10
 
0.8%
396180.621244719 8
 
0.6%
388922.806889486 7
 
0.6%
385502.492319657 7
 
0.6%
387052.317362645 6
 
0.5%
385630.742187332 6
 
0.5%
Other values (877) 1115
89.4%
(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%
374846.363500608 2
0.2%
ValueCountFrequency (%)
419502.803661768 1
0.1%
407681.822826568 1
0.1%
402013.567273627 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401654.448837686 1
0.1%
401510.613962736 1
0.1%
401502.415893064 1
0.1%
401448.811664877 1
0.1%
400815.753437419 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct887
Distinct (%)73.4%
Missing38
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean186441.25
Minimum174307.15
Maximum265785.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:38.350975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179633.25
Q1182461.66
median186437.14
Q3189109.7
95-th percentile194692.99
Maximum265785.6
Range91478.456
Interquartile range (IQR)6648.0376

Descriptive statistics

Standard deviation5323.1112
Coefficient of variation (CV)0.028551145
Kurtosis42.830436
Mean186441.25
Median Absolute Deviation (MAD)3104.93
Skewness3.3512464
Sum2.2540747 × 108
Variance28335513
MonotonicityNot monotonic
2024-04-16T15:48:38.456484image/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 10
 
0.8%
186522.35047527 8
 
0.6%
188106.837170815 7
 
0.6%
180297.579330876 7
 
0.6%
186253.143814124 6
 
0.5%
180306.821082315 6
 
0.5%
Other values (877) 1115
89.4%
(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%
204739.778227028 1
0.1%
204665.784677421 1
0.1%
204621.655738547 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
204186.113952008 1
0.1%
199051.512822937 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
국내여행업
1247 

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 1247
100.0%

Length

2024-04-16T15:48:38.577229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:38.650259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1247
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
715 
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> 715
57.3%
관광사업 532
42.7%

Length

2024-04-16T15:48:38.723090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:38.803262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 715
57.3%
관광사업 532
42.7%

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1021 
일반주거지역
 
62
일반상업지역
 
41
상업지역
 
34
근린상업지역
 
31
Other values (9)
 
58

Length

Max length6
Median length4
Mean length4.2542101
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> 1021
81.9%
일반주거지역 62
 
5.0%
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

2024-04-16T15:48:38.895091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1021
81.9%
일반주거지역 62
 
5.0%
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 (%)6.8%
Missing877
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean3.2540541
Minimum0
Maximum54
Zeros173
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:38.994560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum54
Range54
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.2051904
Coefficient of variation (CV)1.9069107
Kurtosis26.592014
Mean3.2540541
Median Absolute Deviation (MAD)1
Skewness4.5083615
Sum1204
Variance38.504387
MonotonicityNot monotonic
2024-04-16T15:48:39.088758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 173
 
13.9%
2 36
 
2.9%
4 34
 
2.7%
3 29
 
2.3%
5 21
 
1.7%
6 15
 
1.2%
1 14
 
1.1%
7 10
 
0.8%
10 7
 
0.6%
8 7
 
0.6%
Other values (15) 24
 
1.9%
(Missing) 877
70.3%
ValueCountFrequency (%)
0 173
13.9%
1 14
 
1.1%
2 36
 
2.9%
3 29
 
2.3%
4 34
 
2.7%
5 21
 
1.7%
6 15
 
1.2%
7 10
 
0.8%
8 7
 
0.6%
9 3
 
0.2%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
37 1
 
0.1%
33 1
 
0.1%
31 3
0.2%
27 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1089 
기타
 
85
학교정화(상대)
 
22
주택가주변
 
21
아파트지역
 
19
Other values (3)
 
11

Length

Max length8
Median length4
Mean length3.9983962
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> 1089
87.3%
기타 85
 
6.8%
학교정화(상대) 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대) 2
 
0.2%

Length

2024-04-16T15:48:39.185244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:39.270835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1089
87.3%
기타 85
 
6.8%
학교정화(상대 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대 2
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

보험기관명
Categorical

Distinct30
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
452 
서울보증보험주식회사
262 
서울보증보험
230 
한국관광협회중앙회 여행공제회
83 
한국관광협회중앙회
63 
Other values (25)
157 

Length

Max length19
Median length16
Mean length7.1555734
Min length4

Unique

Unique14 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 452
36.2%
서울보증보험주식회사 262
21.0%
서울보증보험 230
18.4%
한국관광협회중앙회 여행공제회 83
 
6.7%
한국관광협회중앙회 63
 
5.1%
한국관광협회 58
 
4.7%
서울보증보험(주) 20
 
1.6%
부산광역시관광협회 17
 
1.4%
한국관광협회중앙회여행공제회 11
 
0.9%
한국관광협회중앙회 관광공제회 8
 
0.6%
Other values (20) 43
 
3.4%

Length

2024-04-16T15:48:39.373455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 452
33.5%
서울보증보험주식회사 262
19.4%
서울보증보험 230
17.0%
한국관광협회중앙회 156
 
11.6%
여행공제회 84
 
6.2%
한국관광협회 59
 
4.4%
서울보증보험(주 20
 
1.5%
부산광역시관광협회 17
 
1.3%
관광공제회 16
 
1.2%
한국관광협회중앙회여행공제회 11
 
0.8%
Other values (19) 42
 
3.1%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1005 
근린생활시설
169 
사무실
 
53
교육연구시설
 
6
기타
 
5
Other values (6)
 
9

Length

Max length15
Median length4
Mean length4.2381716
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> 1005
80.6%
근린생활시설 169
 
13.6%
사무실 53
 
4.3%
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

2024-04-16T15:48:39.470342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1005
80.5%
근린생활시설 169
 
13.5%
사무실 53
 
4.2%
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 (%)6.6%
Missing853
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean3.0558376
Minimum0
Maximum49
Zeros173
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:39.559774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile11
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.5804939
Coefficient of variation (CV)1.8261749
Kurtosis23.008576
Mean3.0558376
Median Absolute Deviation (MAD)2
Skewness4.1489439
Sum1204
Variance31.141912
MonotonicityNot monotonic
2024-04-16T15:48:39.650787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 173
 
13.9%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 23
 
1.8%
1 17
 
1.4%
6 10
 
0.8%
9 8
 
0.6%
7 8
 
0.6%
10 5
 
0.4%
Other values (16) 25
 
2.0%
(Missing) 853
68.4%
ValueCountFrequency (%)
0 173
13.9%
1 17
 
1.4%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 23
 
1.8%
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 (%)2.7%
Missing948
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.52842809
Minimum0
Maximum7
Zeros203
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:39.732200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.068946
Coefficient of variation (CV)2.0228788
Kurtosis11.574113
Mean0.52842809
Median Absolute Deviation (MAD)0
Skewness3.1367086
Sum158
Variance1.1426455
MonotonicityNot monotonic
2024-04-16T15:48:39.814186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 203
 
16.3%
1 69
 
5.5%
2 13
 
1.0%
5 6
 
0.5%
3 4
 
0.3%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 948
76.0%
ValueCountFrequency (%)
0 203
16.3%
1 69
 
5.5%
2 13
 
1.0%
3 4
 
0.3%
4 2
 
0.2%
5 6
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.5%
4 2
 
0.2%
3 4
 
0.3%
2 13
 
1.0%
1 69
 
5.5%
0 203
16.3%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:39.911714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:39.994276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:40.089097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:40.166435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

영문상호명
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing1216
Missing (%)97.5%
Memory size9.9 KiB
2024-04-16T15:48:40.305836image/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 rowHANJU AIR TRAVEL CO.,LTD
ValueCountFrequency (%)
tour 14
 
13.2%
travel 10
 
9.4%
ltd 7
 
6.6%
co 7
 
6.6%
co.,ltd 5
 
4.7%
agency 4
 
3.8%
inc 4
 
3.8%
service 3
 
2.8%
busan 2
 
1.9%
air 2
 
1.9%
Other values (45) 48
45.3%
2024-04-16T15:48:40.582841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
11.9%
T 39
 
6.2%
O 31
 
4.9%
R 31
 
4.9%
E 30
 
4.8%
L 29
 
4.6%
A 27
 
4.3%
. 23
 
3.7%
C 22
 
3.5%
S 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%
O 31
 
8.8%
R 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%
n 17
10.4%
e 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%
O 31
 
6.0%
R 31
 
6.0%
E 30
 
5.8%
L 29
 
5.6%
A 27
 
5.2%
C 22
 
4.3%
S 19
 
3.7%
a 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%
O 31
 
4.9%
R 31
 
4.9%
E 30
 
4.8%
L 29
 
4.6%
A 27
 
4.3%
. 23
 
3.7%
C 22
 
3.5%
S 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>
1216 
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 length4.4827586
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> 1216
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

2024-04-16T15:48:40.691797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1216
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>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:40.784105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:40.860335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:40.943589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:41.018961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:41.107362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:41.190491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:41.278713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:41.356962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:41.440974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:41.753685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct222
Distinct (%)49.9%
Missing802
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean208.40079
Minimum0
Maximum43511
Zeros164
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:41.838949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median29.96
Q366
95-th percentile163.98
Maximum43511
Range43511
Interquartile range (IQR)66

Descriptive statistics

Standard deviation2256.1047
Coefficient of variation (CV)10.825797
Kurtosis316.89252
Mean208.40079
Median Absolute Deviation (MAD)29.96
Skewness17.241904
Sum92738.35
Variance5090008.3
MonotonicityNot monotonic
2024-04-16T15:48:41.945443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 164
 
13.2%
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%
15.0 3
 
0.2%
39.6 3
 
0.2%
25.0 3
 
0.2%
49.5 3
 
0.2%
Other values (212) 233
 
18.7%
(Missing) 802
64.3%
ValueCountFrequency (%)
0.0 164
13.2%
2.58 1
 
0.1%
4.05 1
 
0.1%
6.0 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
8.0 1
 
0.1%
8.4 1
 
0.1%
10.0 1
 
0.1%
12.0 3
 
0.2%
ValueCountFrequency (%)
43511.0 1
0.1%
18592.0 1
0.1%
3920.67 1
0.1%
3480.76 1
0.1%
2988.0 1
0.1%
1022.9 1
0.1%
1013.0 1
0.1%
268.5 1
0.1%
258.15 1
0.1%
243.34 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1057 
0
190 

Length

Max length4
Median length4
Mean length3.542903
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> 1057
84.8%
0 190
 
15.2%

Length

2024-04-16T15:48:42.073009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:42.164961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1057
84.8%
0 190
 
15.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1246 
20200205
 
1

Length

Max length8
Median length4
Mean length4.0032077
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> 1246
99.9%
20200205 1
 
0.1%

Length

2024-04-16T15:48:42.258654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:42.360799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1246
99.9%
20200205 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1246 
20210204
 
1

Length

Max length8
Median length4
Mean length4.0032077
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> 1246
99.9%
20210204 1
 
0.1%

Length

2024-04-16T15:48:42.445049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:48:42.526286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1246
99.9%
20210204 1
 
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct143
Distinct (%)16.7%
Missing389
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean83080686
Minimum0
Maximum6.5122084 × 109
Zeros45
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:42.611277image/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 deviation2.6181133 × 108
Coefficient of variation (CV)3.1512899
Kurtosis458.77978
Mean83080686
Median Absolute Deviation (MAD)30000000
Skewness20.06337
Sum7.1283229 × 1010
Variance6.8545171 × 1016
MonotonicityNot monotonic
2024-04-16T15:48:42.731360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 192
15.4%
30000000 108
 
8.7%
150000000 103
 
8.3%
100000000 72
 
5.8%
15000000 60
 
4.8%
90000000 53
 
4.3%
0 45
 
3.6%
45000000 21
 
1.7%
60000000 16
 
1.3%
20000000 16
 
1.3%
Other values (133) 172
13.8%
(Missing) 389
31.2%
ValueCountFrequency (%)
0 45
3.6%
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 60
4.8%
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 

Distinct652
Distinct (%)78.7%
Missing419
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean20186415
Minimum20021021
Maximum20220201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:42.849215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110847
Q120171226
median20200610
Q320210306
95-th percentile20210913
Maximum20220201
Range199180
Interquartile range (IQR)39080.75

Descriptive statistics

Standard deviation32173.378
Coefficient of variation (CV)0.0015938134
Kurtosis3.981677
Mean20186415
Median Absolute Deviation (MAD)9987.5
Skewness-1.9084849
Sum1.6714351 × 1010
Variance1.0351262 × 109
MonotonicityNot monotonic
2024-04-16T15:48:42.987695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 9
 
0.7%
20201201 5
 
0.4%
20210101 5
 
0.4%
20210325 5
 
0.4%
20200625 5
 
0.4%
20210323 4
 
0.3%
20200723 4
 
0.3%
20210201 4
 
0.3%
20200826 4
 
0.3%
20200701 4
 
0.3%
Other values (642) 779
62.5%
(Missing) 419
33.6%
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 (%)
20220201 2
0.2%
20220124 1
0.1%
20220118 1
0.1%
20220113 2
0.2%
20220111 1
0.1%
20220103 2
0.2%
20211226 1
0.1%
20211221 1
0.1%
20211207 1
0.1%
20211205 2
0.2%

보험종료일자
Real number (ℝ)

MISSING 

Distinct643
Distinct (%)77.6%
Missing418
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean20197787
Minimum20031021
Maximum21210714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:43.105352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20121061
Q120190125
median20210613
Q320220318
95-th percentile20220917
Maximum21210714
Range1179693
Interquartile range (IQR)30193

Descriptive statistics

Standard deviation47630.4
Coefficient of variation (CV)0.0023581989
Kurtosis247.30684
Mean20197787
Median Absolute Deviation (MAD)9992
Skewness11.030701
Sum1.6743966 × 1010
Variance2.268655 × 109
MonotonicityNot monotonic
2024-04-16T15:48:43.225426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220331 8
 
0.6%
20211130 6
 
0.5%
20211231 6
 
0.5%
20220705 5
 
0.4%
20210624 4
 
0.3%
20210825 4
 
0.3%
20220322 4
 
0.3%
20200704 4
 
0.3%
20220131 4
 
0.3%
20220228 4
 
0.3%
Other values (633) 780
62.6%
(Missing) 418
33.5%
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%
20230321 1
0.1%
20230202 1
0.1%
20230201 1
0.1%
20230131 1
0.1%
20230123 1
0.1%
20230117 1
0.1%
20230113 2
0.2%
20230110 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)29.2%
Missing802
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean208.41573
Minimum0
Maximum43511
Zeros164
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:48:43.337776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q366
95-th percentile164.4
Maximum43511
Range43511
Interquartile range (IQR)66

Descriptive statistics

Standard deviation2256.1058
Coefficient of variation (CV)10.825026
Kurtosis316.89146
Mean208.41573
Median Absolute Deviation (MAD)30
Skewness17.241863
Sum92745
Variance5090013.2
MonotonicityNot monotonic
2024-04-16T15:48:43.442039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
 
13.2%
33 16
 
1.3%
50 11
 
0.9%
30 9
 
0.7%
20 9
 
0.7%
66 8
 
0.6%
40 7
 
0.6%
15 6
 
0.5%
32 5
 
0.4%
42 5
 
0.4%
Other values (120) 205
 
16.4%
(Missing) 802
64.3%
ValueCountFrequency (%)
0 164
13.2%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
10 1
 
0.1%
12 3
 
0.2%
13 2
 
0.2%
15 6
 
0.5%
ValueCountFrequency (%)
43511 1
0.1%
18592 1
0.1%
3921 1
0.1%
3481 1
0.1%
2988 1
0.1%
1023 1
0.1%
1013 1
0.1%
269 1
0.1%
258 1
0.1%
243 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1247
Missing (%)100.0%
Memory size11.1 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
12371238국내여행업03_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>
12381239국내여행업03_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>
12391240국내여행업03_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>
12401241국내여행업03_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)나이스투어20210518094848U2021-05-20 02:40:00.0<NA>401723.130903196575.034392국내여행업관광사업상업지역1<NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13.09<NA><NA><NA><NA><NA><NA><NA><NA>1500000002021012420220123<NA>13<NA>
12411242국내여행업03_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 유민여행사20210603155203U2021-06-05 02:40:00.0<NA>398043.112671204665.784677국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12.0<NA><NA><NA><NA><NA><NA><NA><NA>300000002021060120220531<NA>12<NA>
12421243국내여행업03_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, 503호46015킴스트래블20210928153742U2021-09-30 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>150000002021073120220730<NA>0<NA>
12431244국내여행업03_12_01_P3400000CDFI226001202000000220191114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 260 창성영양탕부산광역시 기장군 정관읍 정관덕산길 32-146022대박여행사20210521111323U2021-05-23 02:40:00.0<NA>398474.668503204739.778227국내여행업<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>150000002020111220211111<NA><NA><NA>
12441245국내여행업03_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>
12451246국내여행업03_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 여행나무20210521111118U2021-05-23 02:40:00.0<NA>401991.877827195612.16367국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>62.95<NA><NA><NA><NA><NA><NA><NA><NA>150000002021051820220517<NA>63<NA>
12461247국내여행업03_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>