Overview

Dataset statistics

Number of variables39
Number of observations931
Missing cells8516
Missing cells (%)23.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory309.2 KiB
Average record size in memory340.1 B

Variable types

Numeric21
Categorical7
Text5
Unsupported5
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123159

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
인허가취소일자 has 931 (100.0%) missing valuesMissing
폐업일자 has 564 (60.6%) missing valuesMissing
휴업시작일자 has 925 (99.4%) missing valuesMissing
휴업종료일자 has 925 (99.4%) missing valuesMissing
재개업일자 has 931 (100.0%) missing valuesMissing
소재지전화 has 318 (34.2%) missing valuesMissing
소재지면적 has 931 (100.0%) missing valuesMissing
소재지우편번호 has 492 (52.8%) missing valuesMissing
소재지전체주소 has 146 (15.7%) missing valuesMissing
도로명전체주소 has 14 (1.5%) missing valuesMissing
도로명우편번호 has 190 (20.4%) missing valuesMissing
업태구분명 has 931 (100.0%) missing valuesMissing
좌표정보(x) has 11 (1.2%) missing valuesMissing
좌표정보(y) has 11 (1.2%) missing valuesMissing
사무실면적 has 122 (13.1%) missing valuesMissing
소독차량차고면적 has 143 (15.4%) missing valuesMissing
Unnamed: 38 has 931 (100.0%) missing valuesMissing
사무실면적 is highly skewed (γ1 = 28.42899846)Skewed
소독차량차고면적 is highly skewed (γ1 = 28.05466426)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
동력분무기수 has 371 (39.8%) zerosZeros

Reproduction

Analysis started2024-04-17 01:37:15.409467
Analysis finished2024-04-17 01:37:16.171209
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466
Minimum1
Maximum931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:16.226242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.5
Q1233.5
median466
Q3698.5
95-th percentile884.5
Maximum931
Range930
Interquartile range (IQR)465

Descriptive statistics

Standard deviation268.90085
Coefficient of variation (CV)0.57704045
Kurtosis-1.2
Mean466
Median Absolute Deviation (MAD)233
Skewness0
Sum433846
Variance72307.667
MonotonicityStrictly increasing
2024-04-17T10:37:16.330474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
627 1
 
0.1%
615 1
 
0.1%
616 1
 
0.1%
617 1
 
0.1%
618 1
 
0.1%
619 1
 
0.1%
620 1
 
0.1%
621 1
 
0.1%
622 1
 
0.1%
Other values (921) 921
98.9%
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 (%)
931 1
0.1%
930 1
0.1%
929 1
0.1%
928 1
0.1%
927 1
0.1%
926 1
0.1%
925 1
0.1%
924 1
0.1%
923 1
0.1%
922 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
소독업
931 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소독업 931
100.0%

Length

2024-04-17T10:37:16.427318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:16.497205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 931
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
09_30_11_P
931 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_11_P
2nd row09_30_11_P
3rd row09_30_11_P
4th row09_30_11_P
5th row09_30_11_P

Common Values

ValueCountFrequency (%)
09_30_11_P 931
100.0%

Length

2024-04-17T10:37:16.565935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:16.633462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 931
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326788.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:16.711505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation41198.409
Coefficient of variation (CV)0.012383838
Kurtosis-1.0258859
Mean3326788.4
Median Absolute Deviation (MAD)30000
Skewness0.13842022
Sum3.09724 × 109
Variance1.6973089 × 109
MonotonicityNot monotonic
2024-04-17T10:37:16.829758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 131
14.1%
3300000 109
11.7%
3370000 70
 
7.5%
3320000 66
 
7.1%
3310000 63
 
6.8%
3330000 63
 
6.8%
3350000 62
 
6.7%
3340000 61
 
6.6%
3390000 58
 
6.2%
3380000 57
 
6.1%
Other values (6) 191
20.5%
ValueCountFrequency (%)
3250000 27
 
2.9%
3260000 25
 
2.7%
3270000 52
 
5.6%
3280000 11
 
1.2%
3290000 131
14.1%
3300000 109
11.7%
3310000 63
6.8%
3320000 66
7.1%
3330000 63
6.8%
3340000 61
6.6%
ValueCountFrequency (%)
3400000 44
4.7%
3390000 58
6.2%
3380000 57
6.1%
3370000 70
7.5%
3360000 32
3.4%
3350000 62
6.7%
3340000 61
6.6%
3330000 63
6.8%
3320000 66
7.1%
3310000 63
6.8%

관리번호
Text

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-17T10:37:17.010167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters23275
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

Unique931 ?
Unique (%)100.0%

Sample

1st rowPHMB519853300024042500001
2nd rowPHMB520033290024042500001
3rd rowPHMB520083290024042500005
4th rowPHMB520103290024042500001
5th rowPHMB520013290024042500002
ValueCountFrequency (%)
phmb519853300024042500001 1
 
0.1%
phmb520143390023042500004 1
 
0.1%
phmb520203390023042500011 1
 
0.1%
phmb520203390023042500005 1
 
0.1%
phmb520203390023042500006 1
 
0.1%
phmb520203390023042500007 1
 
0.1%
phmb520203390023042500008 1
 
0.1%
phmb520013390023042500001 1
 
0.1%
phmb520033390023042500003 1
 
0.1%
phmb520053390023042500001 1
 
0.1%
Other values (921) 921
98.9%
2024-04-17T10:37:17.289176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8000
34.4%
2 3491
15.0%
5 2225
 
9.6%
3 1995
 
8.6%
4 1743
 
7.5%
1 1021
 
4.4%
P 931
 
4.0%
H 931
 
4.0%
M 931
 
4.0%
B 931
 
4.0%
Other values (4) 1076
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19551
84.0%
Uppercase Letter 3724
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8000
40.9%
2 3491
17.9%
5 2225
 
11.4%
3 1995
 
10.2%
4 1743
 
8.9%
1 1021
 
5.2%
9 434
 
2.2%
7 229
 
1.2%
6 210
 
1.1%
8 203
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 931
25.0%
H 931
25.0%
M 931
25.0%
B 931
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19551
84.0%
Latin 3724
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8000
40.9%
2 3491
17.9%
5 2225
 
11.4%
3 1995
 
10.2%
4 1743
 
8.9%
1 1021
 
5.2%
9 434
 
2.2%
7 229
 
1.2%
6 210
 
1.1%
8 203
 
1.0%
Latin
ValueCountFrequency (%)
P 931
25.0%
H 931
25.0%
M 931
25.0%
B 931
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8000
34.4%
2 3491
15.0%
5 2225
 
9.6%
3 1995
 
8.6%
4 1743
 
7.5%
1 1021
 
4.4%
P 931
 
4.0%
H 931
 
4.0%
M 931
 
4.0%
B 931
 
4.0%
Other values (4) 1076
 
4.6%

인허가일자
Real number (ℝ)

Distinct829
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115814
Minimum19841128
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:17.423789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841128
5-th percentile19990221
Q120070868
median20121221
Q320180324
95-th percentile20200905
Maximum20201230
Range360102
Interquartile range (IQR)109456

Descriptive statistics

Standard deviation74530.612
Coefficient of variation (CV)0.0037050755
Kurtosis1.8873551
Mean20115814
Median Absolute Deviation (MAD)50791
Skewness-1.1734725
Sum1.8727823 × 1010
Variance5.5548121 × 109
MonotonicityNot monotonic
2024-04-17T10:37:17.544495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200825 4
 
0.4%
20200302 4
 
0.4%
20200304 4
 
0.4%
20071113 3
 
0.3%
20201007 3
 
0.3%
20200525 3
 
0.3%
20201223 3
 
0.3%
20200331 3
 
0.3%
20200428 3
 
0.3%
20160405 3
 
0.3%
Other values (819) 898
96.5%
ValueCountFrequency (%)
19841128 1
0.1%
19841205 1
0.1%
19841219 1
0.1%
19841222 2
0.2%
19841227 2
0.2%
19850119 1
0.1%
19850207 1
0.1%
19850319 1
0.1%
19850518 1
0.1%
19850723 1
0.1%
ValueCountFrequency (%)
20201230 1
 
0.1%
20201224 1
 
0.1%
20201223 3
0.3%
20201222 1
 
0.1%
20201216 2
0.2%
20201215 3
0.3%
20201211 1
 
0.1%
20201204 1
 
0.1%
20201203 1
 
0.1%
20201127 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
1
558 
3
357 
4
 
10
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 558
59.9%
3 357
38.3%
4 10
 
1.1%
2 6
 
0.6%

Length

2024-04-17T10:37:17.659252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:17.737814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 558
59.9%
3 357
38.3%
4 10
 
1.1%
2 6
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
영업/정상
558 
폐업
357 
취소/말소/만료/정지/중지
 
10
휴업
 
6

Length

Max length14
Median length5
Mean length3.9269603
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 558
59.9%
폐업 357
38.3%
취소/말소/만료/정지/중지 10
 
1.1%
휴업 6
 
0.6%

Length

2024-04-17T10:37:17.821191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:17.901993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 558
59.9%
폐업 357
38.3%
취소/말소/만료/정지/중지 10
 
1.1%
휴업 6
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
13
558 
3
357 
24
 
10
2
 
6

Length

Max length2
Median length2
Mean length1.6100967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
13 558
59.9%
3 357
38.3%
24 10
 
1.1%
2 6
 
0.6%

Length

2024-04-17T10:37:17.993378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:18.070951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 558
59.9%
3 357
38.3%
24 10
 
1.1%
2 6
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
영업중
558 
폐업
357 
직권폐업
 
10
휴업
 
6

Length

Max length4
Median length3
Mean length2.6208378
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 558
59.9%
폐업 357
38.3%
직권폐업 10
 
1.1%
휴업 6
 
0.6%

Length

2024-04-17T10:37:18.162723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:18.249604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 558
59.9%
폐업 357
38.3%
직권폐업 10
 
1.1%
휴업 6
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)91.8%
Missing564
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean20140064
Minimum19851130
Maximum20201223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:18.341088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851130
5-th percentile20090555
Q120110525
median20140326
Q320170666
95-th percentile20200355
Maximum20201223
Range350093
Interquartile range (IQR)60140.5

Descriptive statistics

Standard deviation38374.289
Coefficient of variation (CV)0.0019053707
Kurtosis7.3265969
Mean20140064
Median Absolute Deviation (MAD)29901
Skewness-1.0151123
Sum7.3914035 × 109
Variance1.472586 × 109
MonotonicityNot monotonic
2024-04-17T10:37:18.451510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120727 3
 
0.3%
20120725 2
 
0.2%
20101001 2
 
0.2%
20171101 2
 
0.2%
20131212 2
 
0.2%
20120716 2
 
0.2%
20150923 2
 
0.2%
20161017 2
 
0.2%
20191111 2
 
0.2%
20121015 2
 
0.2%
Other values (327) 346
37.2%
(Missing) 564
60.6%
ValueCountFrequency (%)
19851130 1
0.1%
20050607 1
0.1%
20061220 1
0.1%
20071120 1
0.1%
20081117 1
0.1%
20081121 1
0.1%
20081124 1
0.1%
20081126 1
0.1%
20081215 1
0.1%
20090209 1
0.1%
ValueCountFrequency (%)
20201223 2
0.2%
20201210 1
0.1%
20201127 1
0.1%
20201111 1
0.1%
20201110 1
0.1%
20200928 1
0.1%
20200904 1
0.1%
20200812 1
0.1%
20200715 1
0.1%
20200602 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing925
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20174018
Minimum20140928
Maximum20201016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:18.547055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140928
5-th percentile20145721
Q120165132
median20180420
Q320181070
95-th percentile20196067
Maximum20201016
Range60088
Interquartile range (IQR)15938

Descriptive statistics

Standard deviation20743.451
Coefficient of variation (CV)0.0010282261
Kurtosis0.45605817
Mean20174018
Median Absolute Deviation (MAD)10559.5
Skewness-0.61664231
Sum1.2104411 × 108
Variance4.3029076 × 108
MonotonicityNot monotonic
2024-04-17T10:37:18.632245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20201016 1
 
0.1%
20140928 1
 
0.1%
20181220 1
 
0.1%
20180618 1
 
0.1%
20180223 1
 
0.1%
20160101 1
 
0.1%
(Missing) 925
99.4%
ValueCountFrequency (%)
20140928 1
0.1%
20160101 1
0.1%
20180223 1
0.1%
20180618 1
0.1%
20181220 1
0.1%
20201016 1
0.1%
ValueCountFrequency (%)
20201016 1
0.1%
20181220 1
0.1%
20180618 1
0.1%
20180223 1
0.1%
20160101 1
0.1%
20140928 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing925
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20182625
Minimum20150928
Maximum20210920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:18.714669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150928
5-th percentile20156004
Q120173629
median20185720
Q320191078
95-th percentile20205998
Maximum20210920
Range59992
Interquartile range (IQR)17449

Descriptive statistics

Standard deviation20378.087
Coefficient of variation (CV)0.0010096847
Kurtosis0.55662973
Mean20182625
Median Absolute Deviation (MAD)10000
Skewness-0.33784346
Sum1.2109575 × 108
Variance4.1526643 × 108
MonotonicityNot monotonic
2024-04-17T10:37:18.795947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210920 1
 
0.1%
20150928 1
 
0.1%
20191231 1
 
0.1%
20190618 1
 
0.1%
20180822 1
 
0.1%
20171231 1
 
0.1%
(Missing) 925
99.4%
ValueCountFrequency (%)
20150928 1
0.1%
20171231 1
0.1%
20180822 1
0.1%
20190618 1
0.1%
20191231 1
0.1%
20210920 1
0.1%
ValueCountFrequency (%)
20210920 1
0.1%
20191231 1
0.1%
20190618 1
0.1%
20180822 1
0.1%
20171231 1
0.1%
20150928 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

소재지전화
Text

MISSING 

Distinct586
Distinct (%)95.6%
Missing318
Missing (%)34.2%
Memory size7.4 KiB
2024-04-17T10:37:19.010800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length10.502447
Min length7

Characters and Unicode

Total characters6438
Distinct characters15
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

Unique561 ?
Unique (%)91.5%

Sample

1st row554-3904
2nd row051-898-1032
3rd row051-818-7114
4th row816-7113
5th row819-4325
ValueCountFrequency (%)
866-0174 3
 
0.5%
051-808-4306 3
 
0.5%
051 3
 
0.5%
757-8474 2
 
0.3%
557-0612 2
 
0.3%
051-634-7677 2
 
0.3%
051-205-9650 2
 
0.3%
070-4179-7030 2
 
0.3%
051-202-2993 2
 
0.3%
051-638-3978 2
 
0.3%
Other values (579) 596
96.3%
2024-04-17T10:37:19.381822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 955
14.8%
0 868
13.5%
5 848
13.2%
1 824
12.8%
6 459
7.1%
2 458
7.1%
3 446
6.9%
8 445
6.9%
7 416
6.5%
4 400
6.2%
Other values (5) 319
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5460
84.8%
Dash Punctuation 955
 
14.8%
Close Punctuation 10
 
0.2%
Space Separator 6
 
0.1%
Math Symbol 5
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 868
15.9%
5 848
15.5%
1 824
15.1%
6 459
8.4%
2 458
8.4%
3 446
8.2%
8 445
8.2%
7 416
7.6%
4 400
7.3%
9 296
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 955
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 955
14.8%
0 868
13.5%
5 848
13.2%
1 824
12.8%
6 459
7.1%
2 458
7.1%
3 446
6.9%
8 445
6.9%
7 416
6.5%
4 400
6.2%
Other values (5) 319
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 955
14.8%
0 868
13.5%
5 848
13.2%
1 824
12.8%
6 459
7.1%
2 458
7.1%
3 446
6.9%
8 445
6.9%
7 416
6.5%
4 400
6.2%
Other values (5) 319
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)65.6%
Missing492
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean604027.92
Minimum47534
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:19.504500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47534
5-th percentile601013
Q1607802
median611080
Q3614042.5
95-th percentile617807
Maximum619963
Range572429
Interquartile range (IQR)6240.5

Descriptive statistics

Standard deviation59976.678
Coefficient of variation (CV)0.099294546
Kurtosis82.595133
Mean604027.92
Median Absolute Deviation (MAD)3262
Skewness-9.14437
Sum2.6516826 × 108
Variance3.5972019 × 109
MonotonicityNot monotonic
2024-04-17T10:37:19.607611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611080 7
 
0.8%
607020 5
 
0.5%
612021 5
 
0.5%
612050 5
 
0.5%
614040 5
 
0.5%
607822 5
 
0.5%
607837 5
 
0.5%
617721 4
 
0.4%
604010 4
 
0.4%
607101 4
 
0.4%
Other values (278) 390
41.9%
(Missing) 492
52.8%
ValueCountFrequency (%)
47534 1
 
0.1%
47549 1
 
0.1%
47558 1
 
0.1%
48006 1
 
0.1%
48316 1
 
0.1%
600013 1
 
0.1%
600014 2
0.2%
600015 1
 
0.1%
600102 3
0.3%
600715 2
0.2%
ValueCountFrequency (%)
619963 1
 
0.1%
619953 1
 
0.1%
619912 3
0.3%
619901 3
0.3%
618817 1
 
0.1%
618141 1
 
0.1%
617846 1
 
0.1%
617844 1
 
0.1%
617837 2
0.2%
617836 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct757
Distinct (%)96.4%
Missing146
Missing (%)15.7%
Memory size7.4 KiB
2024-04-17T10:37:19.886069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length25.922293
Min length12

Characters and Unicode

Total characters20349
Distinct characters304
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

Unique732 ?
Unique (%)93.2%

Sample

1st row부산광역시 동래구 온천2동 1437번지 50호
2nd row부산광역시 부산진구 당감동 232번지 4호
3rd row부산광역시 부산진구 부전동 393번지 9호 목련빌딩2층
4th row부산광역시 부산진구 전포2동 657번지 1호 302호
5th row부산광역시 부산진구 전포2동 608번지 1호 중앙시장 지하 14,15호
ValueCountFrequency (%)
부산광역시 785
 
18.1%
부산진구 107
 
2.5%
동래구 96
 
2.2%
1호 89
 
2.1%
해운대구 59
 
1.4%
사하구 58
 
1.3%
연제구 58
 
1.3%
금정구 56
 
1.3%
사상구 53
 
1.2%
2호 52
 
1.2%
Other values (1207) 2928
67.4%
2024-04-17T10:37:20.312069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3572
 
17.6%
산 969
 
4.8%
부 962
 
4.7%
동 961
 
4.7%
1 960
 
4.7%
광 814
 
4.0%
시 799
 
3.9%
구 790
 
3.9%
역 787
 
3.9%
호 783
 
3.8%
Other values (294) 8952
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12394
60.9%
Decimal Number 4228
 
20.8%
Space Separator 3572
 
17.6%
Dash Punctuation 66
 
0.3%
Uppercase Letter 46
 
0.2%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%
Other Punctuation 12
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 969
 
7.8%
부 962
 
7.8%
동 961
 
7.8%
광 814
 
6.6%
시 799
 
6.4%
구 790
 
6.4%
역 787
 
6.3%
호 783
 
6.3%
지 759
 
6.1%
번 711
 
5.7%
Other values (254) 4059
32.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
13.0%
S 5
10.9%
A 5
10.9%
C 4
8.7%
H 4
8.7%
K 4
8.7%
P 3
6.5%
L 3
6.5%
T 3
6.5%
V 2
 
4.3%
Other values (6) 7
15.2%
Decimal Number
ValueCountFrequency (%)
1 960
22.7%
2 618
14.6%
3 528
12.5%
4 385
9.1%
5 354
 
8.4%
0 350
 
8.3%
6 295
 
7.0%
7 279
 
6.6%
8 245
 
5.8%
9 214
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
o 1
14.3%
e 1
14.3%
t 1
14.3%
i 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
@ 2
 
16.7%
& 1
 
8.3%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
3572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12394
60.9%
Common 7902
38.8%
Latin 53
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 969
 
7.8%
부 962
 
7.8%
동 961
 
7.8%
광 814
 
6.6%
시 799
 
6.4%
구 790
 
6.4%
역 787
 
6.3%
호 783
 
6.3%
지 759
 
6.1%
번 711
 
5.7%
Other values (254) 4059
32.7%
Latin
ValueCountFrequency (%)
B 6
11.3%
S 5
 
9.4%
A 5
 
9.4%
C 4
 
7.5%
H 4
 
7.5%
K 4
 
7.5%
P 3
 
5.7%
L 3
 
5.7%
T 3
 
5.7%
V 2
 
3.8%
Other values (12) 14
26.4%
Common
ValueCountFrequency (%)
3572
45.2%
1 960
 
12.1%
2 618
 
7.8%
3 528
 
6.7%
4 385
 
4.9%
5 354
 
4.5%
0 350
 
4.4%
6 295
 
3.7%
7 279
 
3.5%
8 245
 
3.1%
Other values (8) 316
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12394
60.9%
ASCII 7955
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3572
44.9%
1 960
 
12.1%
2 618
 
7.8%
3 528
 
6.6%
4 385
 
4.8%
5 354
 
4.5%
0 350
 
4.4%
6 295
 
3.7%
7 279
 
3.5%
8 245
 
3.1%
Other values (30) 369
 
4.6%
Hangul
ValueCountFrequency (%)
산 969
 
7.8%
부 962
 
7.8%
동 961
 
7.8%
광 814
 
6.6%
시 799
 
6.4%
구 790
 
6.4%
역 787
 
6.3%
호 783
 
6.3%
지 759
 
6.1%
번 711
 
5.7%
Other values (254) 4059
32.7%

도로명전체주소
Text

MISSING 

Distinct883
Distinct (%)96.3%
Missing14
Missing (%)1.5%
Memory size7.4 KiB
2024-04-17T10:37:20.599038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length31.091603
Min length19

Characters and Unicode

Total characters28511
Distinct characters365
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique854 ?
Unique (%)93.1%

Sample

1st row부산광역시 동래구 충렬대로155번길 25 (온천동)
2nd row부산광역시 부산진구 백양대로 52 (당감동)
3rd row부산광역시 부산진구 부전로 139 (부전동,목련빌딩2층)
4th row부산광역시 부산진구 동천로132번길 26, 302호 (전포동)
5th row부산광역시 부산진구 동성로 143, 14,15호 (전포동)
ValueCountFrequency (%)
부산광역시 917
 
16.8%
부산진구 129
 
2.4%
동래구 108
 
2.0%
2층 93
 
1.7%
1층 76
 
1.4%
연제구 68
 
1.2%
남구 62
 
1.1%
북구 62
 
1.1%
금정구 61
 
1.1%
사하구 61
 
1.1%
Other values (1509) 3826
70.0%
2024-04-17T10:37:21.050387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4558
 
16.0%
동 1217
 
4.3%
산 1161
 
4.1%
부 1135
 
4.0%
1 1021
 
3.6%
광 980
 
3.4%
시 961
 
3.4%
구 929
 
3.3%
역 920
 
3.2%
로 903
 
3.2%
Other values (355) 14726
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16693
58.5%
Decimal Number 4628
 
16.2%
Space Separator 4558
 
16.0%
Close Punctuation 892
 
3.1%
Open Punctuation 891
 
3.1%
Other Punctuation 641
 
2.2%
Dash Punctuation 150
 
0.5%
Uppercase Letter 51
 
0.2%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1217
 
7.3%
산 1161
 
7.0%
부 1135
 
6.8%
광 980
 
5.9%
시 961
 
5.8%
구 929
 
5.6%
역 920
 
5.5%
로 903
 
5.4%
길 484
 
2.9%
번 478
 
2.9%
Other values (313) 7525
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
17.6%
A 7
13.7%
H 4
7.8%
C 4
7.8%
T 4
7.8%
K 4
7.8%
S 4
7.8%
O 3
 
5.9%
L 3
 
5.9%
E 2
 
3.9%
Other values (7) 7
13.7%
Decimal Number
ValueCountFrequency (%)
1 1021
22.1%
2 783
16.9%
3 541
11.7%
0 444
9.6%
4 408
 
8.8%
5 338
 
7.3%
6 323
 
7.0%
7 271
 
5.9%
8 267
 
5.8%
9 232
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
e 1
14.3%
t 1
14.3%
o 1
14.3%
s 1
14.3%
i 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 634
98.9%
· 2
 
0.3%
/ 2
 
0.3%
@ 2
 
0.3%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4558
100.0%
Close Punctuation
ValueCountFrequency (%)
) 892
100.0%
Open Punctuation
ValueCountFrequency (%)
( 891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16693
58.5%
Common 11760
41.2%
Latin 58
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1217
 
7.3%
산 1161
 
7.0%
부 1135
 
6.8%
광 980
 
5.9%
시 961
 
5.8%
구 929
 
5.6%
역 920
 
5.5%
로 903
 
5.4%
길 484
 
2.9%
번 478
 
2.9%
Other values (313) 7525
45.1%
Latin
ValueCountFrequency (%)
B 9
15.5%
A 7
12.1%
H 4
 
6.9%
C 4
 
6.9%
T 4
 
6.9%
K 4
 
6.9%
S 4
 
6.9%
O 3
 
5.2%
L 3
 
5.2%
E 2
 
3.4%
Other values (13) 14
24.1%
Common
ValueCountFrequency (%)
4558
38.8%
1 1021
 
8.7%
) 892
 
7.6%
( 891
 
7.6%
2 783
 
6.7%
, 634
 
5.4%
3 541
 
4.6%
0 444
 
3.8%
4 408
 
3.5%
5 338
 
2.9%
Other values (9) 1250
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16693
58.5%
ASCII 11816
41.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4558
38.6%
1 1021
 
8.6%
) 892
 
7.5%
( 891
 
7.5%
2 783
 
6.6%
, 634
 
5.4%
3 541
 
4.6%
0 444
 
3.8%
4 408
 
3.5%
5 338
 
2.9%
Other values (31) 1306
 
11.1%
Hangul
ValueCountFrequency (%)
동 1217
 
7.3%
산 1161
 
7.0%
부 1135
 
6.8%
광 980
 
5.9%
시 961
 
5.8%
구 929
 
5.6%
역 920
 
5.5%
로 903
 
5.4%
길 484
 
2.9%
번 478
 
2.9%
Other values (313) 7525
45.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct550
Distinct (%)74.2%
Missing190
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean120634.74
Minimum46004
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:21.175931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46079
Q146965
median47814
Q348910
95-th percentile613810
Maximum619912
Range573908
Interquartile range (IQR)1945

Descriptive statistics

Standard deviation189362.08
Coefficient of variation (CV)1.5697144
Kurtosis2.8978868
Mean120634.74
Median Absolute Deviation (MAD)978
Skewness2.2110935
Sum89390339
Variance3.5857996 × 1010
MonotonicityNot monotonic
2024-04-17T10:37:21.293642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46506 6
 
0.6%
46988 5
 
0.5%
46726 5
 
0.5%
46759 5
 
0.5%
48493 5
 
0.5%
46647 4
 
0.4%
47029 4
 
0.4%
46079 4
 
0.4%
46033 4
 
0.4%
47247 3
 
0.3%
Other values (540) 696
74.8%
(Missing) 190
 
20.4%
ValueCountFrequency (%)
46004 1
 
0.1%
46015 2
0.2%
46020 3
0.3%
46024 2
0.2%
46029 1
 
0.1%
46032 1
 
0.1%
46033 4
0.4%
46035 1
 
0.1%
46036 1
 
0.1%
46037 2
0.2%
ValueCountFrequency (%)
619912 2
0.2%
617846 1
 
0.1%
617844 1
 
0.1%
617837 1
 
0.1%
617833 3
0.3%
617817 1
 
0.1%
617807 1
 
0.1%
617801 1
 
0.1%
617764 1
 
0.1%
617050 1
 
0.1%

사업장명
Text

Distinct859
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-04-17T10:37:21.524405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length7.2427497
Min length2

Characters and Unicode

Total characters6743
Distinct characters430
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique797 ?
Unique (%)85.6%

Sample

1st row유일종합방역공사
2nd row(주)광성기업
3rd row(주)덕진경호시스템
4th row(주)프리엠환경
5th row(주)청우안전시스템
ValueCountFrequency (%)
주식회사 60
 
5.3%
방역 9
 
0.8%
대한방역 7
 
0.6%
주 7
 
0.6%
주)세스코 5
 
0.4%
그린f5 4
 
0.4%
아름드리 4
 
0.4%
부산지사 4
 
0.4%
에코유 4
 
0.4%
주)주우관리 3
 
0.3%
Other values (932) 1029
90.6%
2024-04-17T10:37:21.854505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 420
 
6.2%
) 367
 
5.4%
( 354
 
5.2%
205
 
3.0%
스 202
 
3.0%
사 176
 
2.6%
경 150
 
2.2%
방 143
 
2.1%
역 136
 
2.0%
이 134
 
2.0%
Other values (420) 4456
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5549
82.3%
Close Punctuation 367
 
5.4%
Open Punctuation 354
 
5.2%
Space Separator 205
 
3.0%
Uppercase Letter 144
 
2.1%
Lowercase Letter 69
 
1.0%
Decimal Number 32
 
0.5%
Other Punctuation 18
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 420
 
7.6%
스 202
 
3.6%
사 176
 
3.2%
경 150
 
2.7%
방 143
 
2.6%
역 136
 
2.5%
이 134
 
2.4%
환 130
 
2.3%
산 101
 
1.8%
린 99
 
1.8%
Other values (366) 3858
69.5%
Uppercase Letter
ValueCountFrequency (%)
C 21
14.6%
E 15
 
10.4%
M 11
 
7.6%
S 10
 
6.9%
T 9
 
6.2%
F 9
 
6.2%
P 8
 
5.6%
N 8
 
5.6%
G 8
 
5.6%
K 7
 
4.9%
Other values (13) 38
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 13
18.8%
o 7
10.1%
a 7
10.1%
n 6
8.7%
r 5
 
7.2%
s 5
 
7.2%
t 5
 
7.2%
l 4
 
5.8%
c 4
 
5.8%
m 3
 
4.3%
Other values (7) 10
14.5%
Decimal Number
ValueCountFrequency (%)
1 12
37.5%
5 10
31.2%
9 5
15.6%
3 2
 
6.2%
6 2
 
6.2%
4 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 8
44.4%
. 7
38.9%
· 2
 
11.1%
, 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 367
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5549
82.3%
Common 981
 
14.5%
Latin 213
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 420
 
7.6%
스 202
 
3.6%
사 176
 
3.2%
경 150
 
2.7%
방 143
 
2.6%
역 136
 
2.5%
이 134
 
2.4%
환 130
 
2.3%
산 101
 
1.8%
린 99
 
1.8%
Other values (366) 3858
69.5%
Latin
ValueCountFrequency (%)
C 21
 
9.9%
E 15
 
7.0%
e 13
 
6.1%
M 11
 
5.2%
S 10
 
4.7%
T 9
 
4.2%
F 9
 
4.2%
P 8
 
3.8%
N 8
 
3.8%
G 8
 
3.8%
Other values (30) 101
47.4%
Common
ValueCountFrequency (%)
) 367
37.4%
( 354
36.1%
205
20.9%
1 12
 
1.2%
5 10
 
1.0%
& 8
 
0.8%
. 7
 
0.7%
9 5
 
0.5%
- 5
 
0.5%
3 2
 
0.2%
Other values (4) 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5549
82.3%
ASCII 1192
 
17.7%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 420
 
7.6%
스 202
 
3.6%
사 176
 
3.2%
경 150
 
2.7%
방 143
 
2.6%
역 136
 
2.5%
이 134
 
2.4%
환 130
 
2.3%
산 101
 
1.8%
린 99
 
1.8%
Other values (366) 3858
69.5%
ASCII
ValueCountFrequency (%)
) 367
30.8%
( 354
29.7%
205
17.2%
C 21
 
1.8%
E 15
 
1.3%
e 13
 
1.1%
1 12
 
1.0%
M 11
 
0.9%
S 10
 
0.8%
5 10
 
0.8%
Other values (43) 174
14.6%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167064 × 1013
Minimum2.0081114 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:21.979508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081114 × 1013
5-th percentile2.0100765 × 1013
Q12.0140574 × 1013
median2.0180316 × 1013
Q32.0200304 × 1013
95-th percentile2.020111 × 1013
Maximum2.0201231 × 1013
Range1.2011698 × 1011
Interquartile range (IQR)5.973003 × 1010

Descriptive statistics

Standard deviation3.4368307 × 1010
Coefficient of variation (CV)0.00170418
Kurtosis-0.6069898
Mean2.0167064 × 1013
Median Absolute Deviation (MAD)2.0210012 × 1010
Skewness-0.79418256
Sum1.8775537 × 1016
Variance1.1811805 × 1021
MonotonicityNot monotonic
2024-04-17T10:37:22.096132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091124134430 1
 
0.1%
20150831085817 1
 
0.1%
20200731173403 1
 
0.1%
20201103160049 1
 
0.1%
20201116175007 1
 
0.1%
20200103085947 1
 
0.1%
20191126090809 1
 
0.1%
20171030112730 1
 
0.1%
20180219172849 1
 
0.1%
20180219173137 1
 
0.1%
Other values (921) 921
98.9%
ValueCountFrequency (%)
20081114112748 1
0.1%
20081114165108 1
0.1%
20081114170957 1
0.1%
20081117104232 1
0.1%
20081117171617 1
0.1%
20081124174928 1
0.1%
20081125105708 1
0.1%
20081126111311 1
0.1%
20081215175250 1
0.1%
20090122112250 1
0.1%
ValueCountFrequency (%)
20201231095024 1
0.1%
20201229104657 1
0.1%
20201228173609 1
0.1%
20201224162348 1
0.1%
20201224155823 1
0.1%
20201224151306 1
0.1%
20201224145647 1
0.1%
20201224142207 1
0.1%
20201223172605 1
0.1%
20201223170250 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
I
672 
U
259 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 672
72.2%
U 259
 
27.8%

Length

2024-04-17T10:37:22.439037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:37:22.507972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 672
72.2%
u 259
 
27.8%

데이터갱신일자
Date

Distinct313
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 00:23:15
2024-04-17T10:37:22.591588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:37:22.710380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct803
Distinct (%)87.3%
Missing11
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean387980.97
Minimum367347.04
Maximum407739.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:22.825322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367347.04
5-th percentile379437.29
Q1384543.31
median388373.68
Q3391025.76
95-th percentile397917.06
Maximum407739.05
Range40392.011
Interquartile range (IQR)6482.4446

Descriptive statistics

Standard deviation5790.7764
Coefficient of variation (CV)0.014925414
Kurtosis1.4889135
Mean387980.97
Median Absolute Deviation (MAD)2922.676
Skewness0.18511726
Sum3.5694249 × 108
Variance33533091
MonotonicityNot monotonic
2024-04-17T10:37:22.939966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 6
 
0.6%
387927.951172724 4
 
0.4%
402789.748360406 4
 
0.4%
385651.871633914 4
 
0.4%
390383.505936607 3
 
0.3%
387092.448632486 3
 
0.3%
395615.201853958 3
 
0.3%
396180.621244719 3
 
0.3%
384162.7621038 3
 
0.3%
379554.826788136 3
 
0.3%
Other values (793) 884
95.0%
(Missing) 11
 
1.2%
ValueCountFrequency (%)
367347.035628163 1
 
0.1%
367499.098113823 1
 
0.1%
367897.480797822 1
 
0.1%
369434.316226685 1
 
0.1%
371180.37604943 1
 
0.1%
371215.463308088 1
 
0.1%
371384.0 1
 
0.1%
371449.086082193 3
0.3%
372771.602774598 1
 
0.1%
373329.16312947 1
 
0.1%
ValueCountFrequency (%)
407739.046710947 1
0.1%
407736.728677283 1
0.1%
407284.211429205 1
0.1%
406982.053033795 1
0.1%
405406.121712232 1
0.1%
405386.321838022 1
0.1%
405236.333123992 1
0.1%
405058.286889238 1
0.1%
404862.713846953 1
0.1%
404622.92227076 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct803
Distinct (%)87.3%
Missing11
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean187757.62
Minimum174209.67
Maximum207670.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:23.055108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174209.67
5-th percentile178848.88
Q1183870.93
median187696.21
Q3191152.67
95-th percentile198105.7
Maximum207670.59
Range33460.923
Interquartile range (IQR)7281.7404

Descriptive statistics

Standard deviation5822.7948
Coefficient of variation (CV)0.031012296
Kurtosis0.45166726
Mean187757.62
Median Absolute Deviation (MAD)3584.2568
Skewness0.41500835
Sum1.7273701 × 108
Variance33904939
MonotonicityNot monotonic
2024-04-17T10:37:23.163158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 6
 
0.6%
186582.791097672 4
 
0.4%
194134.946126511 4
 
0.4%
180892.474928023 4
 
0.4%
197297.780765265 3
 
0.3%
188394.870394826 3
 
0.3%
186406.750870936 3
 
0.3%
186522.35047527 3
 
0.3%
180299.003265813 3
 
0.3%
184301.128962735 3
 
0.3%
Other values (793) 884
95.0%
(Missing) 11
 
1.2%
ValueCountFrequency (%)
174209.665999624 2
0.2%
174213.492106852 1
0.1%
174587.185782495 1
0.1%
174665.706660618 1
0.1%
174685.736751117 1
0.1%
174737.643692108 2
0.2%
175120.936107909 1
0.1%
176338.229863588 2
0.2%
176613.378791287 1
0.1%
176893.324496578 2
0.2%
ValueCountFrequency (%)
207670.589017254 1
0.1%
206965.015589508 1
0.1%
205874.417551847 1
0.1%
205671.36729929 1
0.1%
205589.462889139 1
0.1%
205409.605224 1
0.1%
205366.770002161 1
0.1%
205199.822523986 1
0.1%
205109.671381425 1
0.1%
204981.640802 1
0.1%

사무실면적
Real number (ℝ)

MISSING  SKEWED 

Distinct624
Distinct (%)77.1%
Missing122
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean136.93653
Minimum3.87
Maximum73015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:23.279176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.87
5-th percentile8.136
Q117.25
median32
Q358
95-th percentile141.024
Maximum73015
Range73011.13
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation2565.8456
Coefficient of variation (CV)18.737482
Kurtosis808.47064
Mean136.93653
Median Absolute Deviation (MAD)17.27
Skewness28.428998
Sum110781.65
Variance6583563.9
MonotonicityNot monotonic
2024-04-17T10:37:23.392649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 8
 
0.9%
20.0 8
 
0.9%
12.0 8
 
0.9%
60.0 7
 
0.8%
13.2 6
 
0.6%
25.0 6
 
0.6%
9.9 6
 
0.6%
15.0 5
 
0.5%
21.0 5
 
0.5%
66.0 4
 
0.4%
Other values (614) 746
80.1%
(Missing) 122
 
13.1%
ValueCountFrequency (%)
3.87 1
0.1%
4.0 1
0.1%
4.48 1
0.1%
4.8 1
0.1%
4.9 1
0.1%
5.0 1
0.1%
5.21 1
0.1%
5.25 1
0.1%
5.27 1
0.1%
5.36 1
0.1%
ValueCountFrequency (%)
73015.0 1
0.1%
336.6 1
0.1%
307.05 1
0.1%
300.0 2
0.2%
274.68 1
0.1%
270.0 1
0.1%
267.3 1
0.1%
255.0 1
0.1%
249.78 1
0.1%
238.87 1
0.1%

소독차량차고면적
Real number (ℝ)

MISSING  SKEWED 

Distinct501
Distinct (%)63.6%
Missing143
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean72.431751
Minimum1
Maximum41059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:23.518400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.811
Q16.575
median12.485
Q322.4475
95-th percentile59.962
Maximum41059
Range41058
Interquartile range (IQR)15.8725

Descriptive statistics

Standard deviation1462.2309
Coefficient of variation (CV)20.187705
Kurtosis787.37362
Mean72.431751
Median Absolute Deviation (MAD)7.12
Skewness28.054664
Sum57076.22
Variance2138119.1
MonotonicityNot monotonic
2024-04-17T10:37:23.631635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 20
 
2.1%
6.0 10
 
1.1%
20.0 9
 
1.0%
9.0 8
 
0.9%
12.0 8
 
0.9%
5.0 8
 
0.9%
16.0 7
 
0.8%
3.0 7
 
0.8%
15.0 7
 
0.8%
9.9 7
 
0.8%
Other values (491) 697
74.9%
(Missing) 143
 
15.4%
ValueCountFrequency (%)
1.0 2
0.2%
1.21 1
 
0.1%
1.28 1
 
0.1%
1.52 1
 
0.1%
1.57 2
0.2%
1.6 1
 
0.1%
1.62 1
 
0.1%
1.66 1
 
0.1%
1.7 3
0.3%
1.76 1
 
0.1%
ValueCountFrequency (%)
41059.0 1
0.1%
328.5 1
0.1%
300.0 1
0.1%
270.0 1
0.1%
200.0 1
0.1%
188.0 2
0.2%
181.74 1
0.1%
170.0 1
0.1%
144.5 1
0.1%
144.15 1
0.1%

초미립자살포기수
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0998926
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:23.721285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4680203
Coefficient of variation (CV)0.42551455
Kurtosis86.018921
Mean1.0998926
Median Absolute Deviation (MAD)0
Skewness7.8311869
Sum1024
Variance0.219043
MonotonicityNot monotonic
2024-04-17T10:37:23.814850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 869
93.3%
2 44
 
4.7%
3 12
 
1.3%
4 4
 
0.4%
7 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
1 869
93.3%
2 44
 
4.7%
3 12
 
1.3%
4 4
 
0.4%
7 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 1
 
0.1%
4 4
 
0.4%
3 12
 
1.3%
2 44
 
4.7%
1 869
93.3%

휴대용소독기수
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1149302
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:23.902664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59811754
Coefficient of variation (CV)0.28280723
Kurtosis82.358828
Mean2.1149302
Median Absolute Deviation (MAD)0
Skewness8.0520347
Sum1969
Variance0.35774459
MonotonicityNot monotonic
2024-04-17T10:37:23.988255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 876
94.1%
3 31
 
3.3%
4 12
 
1.3%
5 7
 
0.8%
7 3
 
0.3%
10 2
 
0.2%
ValueCountFrequency (%)
2 876
94.1%
3 31
 
3.3%
4 12
 
1.3%
5 7
 
0.8%
7 3
 
0.3%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
7 3
 
0.3%
5 7
 
0.8%
4 12
 
1.3%
3 31
 
3.3%
2 876
94.1%

동력분무기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63050483
Minimum0
Maximum6
Zeros371
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.075006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.58373442
Coefficient of variation (CV)0.92582069
Kurtosis11.383639
Mean0.63050483
Median Absolute Deviation (MAD)0
Skewness1.5290419
Sum587
Variance0.34074587
MonotonicityNot monotonic
2024-04-17T10:37:24.154357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 546
58.6%
0 371
39.8%
2 7
 
0.8%
3 4
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
0 371
39.8%
1 546
58.6%
2 7
 
0.8%
3 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 4
 
0.4%
2 7
 
0.8%
1 546
58.6%
0 371
39.8%

수동식분무기수
Real number (ℝ)

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3974221
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.238873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile6
Maximum20
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3768258
Coefficient of variation (CV)0.31309839
Kurtosis22.997298
Mean4.3974221
Median Absolute Deviation (MAD)0
Skewness2.7512257
Sum4094
Variance1.8956493
MonotonicityNot monotonic
2024-04-17T10:37:24.330335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 523
56.2%
3 343
36.8%
6 19
 
2.0%
4 15
 
1.6%
7 10
 
1.1%
8 9
 
1.0%
9 4
 
0.4%
10 4
 
0.4%
20 1
 
0.1%
15 1
 
0.1%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
3 343
36.8%
4 15
 
1.6%
5 523
56.2%
6 19
 
2.0%
7 10
 
1.1%
8 9
 
1.0%
9 4
 
0.4%
10 4
 
0.4%
11 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
15 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 4
 
0.4%
9 4
 
0.4%
8 9
 
1.0%
7 10
 
1.1%
6 19
 
2.0%
5 523
56.2%

방독면수
Real number (ℝ)

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0784103
Minimum5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.420720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum12
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59502963
Coefficient of variation (CV)0.11716848
Kurtosis80.92215
Mean5.0784103
Median Absolute Deviation (MAD)0
Skewness8.7520426
Sum4728
Variance0.35406027
MonotonicityNot monotonic
2024-04-17T10:37:24.504702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 909
97.6%
6 6
 
0.6%
10 6
 
0.6%
7 5
 
0.5%
12 2
 
0.2%
9 1
 
0.1%
11 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
5 909
97.6%
6 6
 
0.6%
7 5
 
0.5%
8 1
 
0.1%
9 1
 
0.1%
10 6
 
0.6%
11 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
12 2
 
0.2%
11 1
 
0.1%
10 6
 
0.6%
9 1
 
0.1%
8 1
 
0.1%
7 5
 
0.5%
6 6
 
0.6%
5 909
97.6%

보호안경수
Real number (ℝ)

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.075188
Minimum5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.587512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum12
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5761728
Coefficient of variation (CV)0.11352738
Kurtosis86.128786
Mean5.075188
Median Absolute Deviation (MAD)0
Skewness8.9573625
Sum4725
Variance0.3319751
MonotonicityNot monotonic
2024-04-17T10:37:24.670745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 910
97.7%
7 6
 
0.6%
10 5
 
0.5%
6 4
 
0.4%
8 3
 
0.3%
12 2
 
0.2%
11 1
 
0.1%
ValueCountFrequency (%)
5 910
97.7%
6 4
 
0.4%
7 6
 
0.6%
8 3
 
0.3%
10 5
 
0.5%
11 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
12 2
 
0.2%
11 1
 
0.1%
10 5
 
0.5%
8 3
 
0.3%
7 6
 
0.6%
6 4
 
0.4%
5 910
97.7%

보호용의복수
Real number (ℝ)

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1987111
Minimum5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.757281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum40
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8021011
Coefficient of variation (CV)0.34664382
Kurtosis210.47027
Mean5.1987111
Median Absolute Deviation (MAD)0
Skewness13.387981
Sum4840
Variance3.2475682
MonotonicityNot monotonic
2024-04-17T10:37:24.851734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 906
97.3%
10 7
 
0.8%
6 5
 
0.5%
7 3
 
0.3%
12 2
 
0.2%
20 2
 
0.2%
40 1
 
0.1%
14 1
 
0.1%
24 1
 
0.1%
9 1
 
0.1%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
5 906
97.3%
6 5
 
0.5%
7 3
 
0.3%
8 1
 
0.1%
9 1
 
0.1%
10 7
 
0.8%
12 2
 
0.2%
14 1
 
0.1%
20 2
 
0.2%
24 1
 
0.1%
ValueCountFrequency (%)
40 1
 
0.1%
30 1
 
0.1%
24 1
 
0.1%
20 2
 
0.2%
14 1
 
0.1%
12 2
 
0.2%
10 7
0.8%
9 1
 
0.1%
8 1
 
0.1%
7 3
0.3%

진공청소기수
Real number (ℝ)

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1095596
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-04-17T10:37:24.946225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.53160835
Coefficient of variation (CV)0.47911653
Kurtosis105.37489
Mean1.1095596
Median Absolute Deviation (MAD)0
Skewness8.5812124
Sum1033
Variance0.28260744
MonotonicityNot monotonic
2024-04-17T10:37:25.025854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 868
93.2%
2 43
 
4.6%
3 13
 
1.4%
5 4
 
0.4%
6 1
 
0.1%
10 1
 
0.1%
4 1
 
0.1%
ValueCountFrequency (%)
1 868
93.2%
2 43
 
4.6%
3 13
 
1.4%
4 1
 
0.1%
5 4
 
0.4%
6 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
6 1
 
0.1%
5 4
 
0.4%
4 1
 
0.1%
3 13
 
1.4%
2 43
 
4.6%
1 868
93.2%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing931
Missing (%)100.0%
Memory size8.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수Unnamed: 38
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89소독업09_30_11_P3350000PHMB52003335002404250000120030729<NA>4취소/말소/만료/정지/중지24직권폐업20100331<NA><NA><NA>582-7192<NA>609836부산광역시 금정구 장전1동 96번지 27호부산광역시 금정구 금강로 389 (장전동)<NA>(주)평강종합관리20110318110735I2018-08-31 23:59:59.0<NA>389843.85643195718.0345963.616.412155551<NA>
910소독업09_30_11_P3350000PHMB52008335002404250000220080910<NA>4취소/말소/만료/정지/중지24직권폐업20110331<NA><NA><NA>051-516-9901<NA>609816부산광역시 금정구 남산동 1001번지 46호부산광역시 금정구 두실로 52-1 (남산동)<NA>(주)피엔씨20110720170122I2018-08-31 23:59:59.0<NA>389818.952881197852.093237.57.9912155551<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수Unnamed: 38
921922소독업09_30_11_P3330000PHMB52013333002404250000320130717<NA>1영업/정상13영업중<NA><NA><NA><NA>523-4952<NA>612050부산광역시 해운대구 재송동 1212번지 큐비e센텀 2312호 2312호부산광역시 해운대구 센텀중앙로 90, 23층 2312호 (재송동, 큐비e센텀)48059(주)보성기업20170223150721I2018-08-31 23:59:59.0<NA>393605.930359188324.97374922.535.6912155551<NA>
922923소독업09_30_11_P3330000PHMB52011333002404250000220110428<NA>1영업/정상13영업중<NA><NA><NA><NA>051-522-0671<NA><NA>부산광역시 해운대구 반여동 129번지 10호부산광역시 해운대구 선수촌로208번가길 52-7 (반여동)48033(주)세스코 부산동부지사20180110150703I2018-08-31 23:59:59.0<NA>393944.653168192266.59921200.0200.032175552<NA>
923924소독업09_30_11_P3330000PHMB52011333002404250000320110511<NA>1영업/정상13영업중<NA><NA><NA><NA>545-1150<NA><NA>부산광역시 해운대구 반송동 879번지 2호 반송종합상가부산광역시 해운대구 신반송로 151, 106호 (반송동, 반송종합상가)48012주식회사 제로브이20180529152820I2018-08-31 23:59:59.0<NA>396809.144675194351.135288.020.012155551<NA>
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925926소독업09_30_11_P3330000PHMB52017333002404250000220170413<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1095번지 37호부산광역시 해운대구 삼어로133번나길 8-12, 1층 (반여동)48045미소20170414142041I2018-08-31 23:59:59.0<NA>392796.972932191986.748818<NA><NA>12035551<NA>
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928929소독업09_30_11_P3330000PHMB52020333002404250000820200915<NA>1영업/정상13영업중<NA><NA><NA><NA>051-743-7006<NA><NA>부산광역시 해운대구 좌동 1270-5 마이우스골드오피스텔 103호부산광역시 해운대구 좌동순환로 72, 마이우스골드오피스텔 103호 (좌동)48083메디존20200918155225I2020-09-20 00:23:12.0<NA>397385.163416188096.959627<NA><NA>12035552<NA>
929930소독업09_30_11_P3330000PHMB52020333002404250000920201007<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1672 해운대 더샵센텀그린부산광역시 해운대구 해운대로61번길 73, B동 105호 (반여동, 해운대 더샵센텀그린)48041클린웍스20201016112503I2020-10-18 00:23:10.0<NA><NA><NA><NA><NA>32055551<NA>
930931소독업09_30_11_P3330000PHMB52020333002404250001020201015<NA>1영업/정상13영업중<NA><NA><NA><NA>051-782-1795<NA><NA>부산광역시 해운대구 재송동 660-9 마리포사부산광역시 해운대구 재반로 5, 마리포사 3층 (재송동)48056(주)우봉라이프20201125190335U2020-11-27 02:40:00.0<NA>393613.183043188762.993457<NA><NA>12035551<NA>