Overview

Dataset statistics

Number of variables39
Number of observations965
Missing cells8864
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory320.5 KiB
Average record size in memory340.1 B

Variable types

Numeric21
Categorical7
Text5
Unsupported5
DateTime1

Dataset

Description2021-05-01
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 965 (100.0%) missing valuesMissing
폐업일자 has 590 (61.1%) missing valuesMissing
휴업시작일자 has 959 (99.4%) missing valuesMissing
휴업종료일자 has 959 (99.4%) missing valuesMissing
재개업일자 has 965 (100.0%) missing valuesMissing
소재지전화 has 339 (35.1%) missing valuesMissing
소재지면적 has 965 (100.0%) missing valuesMissing
소재지우편번호 has 527 (54.6%) missing valuesMissing
소재지전체주소 has 152 (15.8%) missing valuesMissing
도로명전체주소 has 14 (1.5%) missing valuesMissing
도로명우편번호 has 189 (19.6%) missing valuesMissing
업태구분명 has 965 (100.0%) missing valuesMissing
좌표정보(x) has 12 (1.2%) missing valuesMissing
좌표정보(y) has 12 (1.2%) missing valuesMissing
사무실면적 has 132 (13.7%) missing valuesMissing
소독차량차고면적 has 154 (16.0%) missing valuesMissing
Unnamed: 38 has 965 (100.0%) missing valuesMissing
사무실면적 is highly skewed (γ1 = 28.84747327)Skewed
소독차량차고면적 is highly skewed (γ1 = 28.46106491)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 405 (42.0%) zerosZeros

Reproduction

Analysis started2024-04-17 01:36:29.298348
Analysis finished2024-04-17 01:36:30.082578
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct965
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483
Minimum1
Maximum965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:30.142679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile49.2
Q1242
median483
Q3724
95-th percentile916.8
Maximum965
Range964
Interquartile range (IQR)482

Descriptive statistics

Standard deviation278.71581
Coefficient of variation (CV)0.57705136
Kurtosis-1.2
Mean483
Median Absolute Deviation (MAD)241
Skewness0
Sum466095
Variance77682.5
MonotonicityStrictly increasing
2024-04-17T10:36:30.251273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
605 1
 
0.1%
637 1
 
0.1%
638 1
 
0.1%
639 1
 
0.1%
640 1
 
0.1%
641 1
 
0.1%
642 1
 
0.1%
643 1
 
0.1%
644 1
 
0.1%
Other values (955) 955
99.0%
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 (%)
965 1
0.1%
964 1
0.1%
963 1
0.1%
962 1
0.1%
961 1
0.1%
960 1
0.1%
959 1
0.1%
958 1
0.1%
957 1
0.1%
956 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
소독업
965 

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 965
100.0%

Length

2024-04-17T10:36:30.353023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:30.422795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 965
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
09_30_11_P
965 

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 965
100.0%

Length

2024-04-17T10:36:30.502034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:30.574121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 965
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326860.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:30.644040image/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 deviation41099.844
Coefficient of variation (CV)0.012353944
Kurtosis-1.0088125
Mean3326860.1
Median Absolute Deviation (MAD)30000
Skewness0.12846321
Sum3.21042 × 109
Variance1.6891972 × 109
MonotonicityNot monotonic
2024-04-17T10:36:30.739435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 131
13.6%
3300000 114
11.8%
3370000 72
 
7.5%
3320000 69
 
7.2%
3330000 67
 
6.9%
3310000 66
 
6.8%
3340000 66
 
6.8%
3350000 63
 
6.5%
3390000 61
 
6.3%
3380000 57
 
5.9%
Other values (6) 199
20.6%
ValueCountFrequency (%)
3250000 29
 
3.0%
3260000 26
 
2.7%
3270000 53
5.5%
3280000 11
 
1.1%
3290000 131
13.6%
3300000 114
11.8%
3310000 66
6.8%
3320000 69
7.2%
3330000 67
6.9%
3340000 66
6.8%
ValueCountFrequency (%)
3400000 45
4.7%
3390000 61
6.3%
3380000 57
5.9%
3370000 72
7.5%
3360000 35
3.6%
3350000 63
6.5%
3340000 66
6.8%
3330000 67
6.9%
3320000 69
7.2%
3310000 66
6.8%

관리번호
Text

UNIQUE 

Distinct965
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T10:36:30.915980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters24125
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

Unique965 ?
Unique (%)100.0%

Sample

1st rowPHMB519853300024042500001
2nd rowPHMB520033290024042500001
3rd rowPHMB520083290024042500005
4th rowPHMB520103290024042500001
5th rowPHMB520013290024042500002
ValueCountFrequency (%)
phmb519853300024042500001 1
 
0.1%
phmb520213370022042500001 1
 
0.1%
phmb520163390023042500002 1
 
0.1%
phmb520013390023042500001 1
 
0.1%
phmb520033390023042500003 1
 
0.1%
phmb520053390023042500001 1
 
0.1%
phmb520053390023042500002 1
 
0.1%
phmb520063390023042500001 1
 
0.1%
phmb520133390023042500002 1
 
0.1%
phmb520143390023042500002 1
 
0.1%
Other values (955) 955
99.0%
2024-04-17T10:36:31.218983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8276
34.3%
2 3643
15.1%
5 2306
 
9.6%
3 2072
 
8.6%
4 1805
 
7.5%
1 1076
 
4.5%
P 965
 
4.0%
H 965
 
4.0%
M 965
 
4.0%
B 965
 
4.0%
Other values (4) 1087
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20265
84.0%
Uppercase Letter 3860
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8276
40.8%
2 3643
18.0%
5 2306
 
11.4%
3 2072
 
10.2%
4 1805
 
8.9%
1 1076
 
5.3%
9 439
 
2.2%
7 231
 
1.1%
6 214
 
1.1%
8 203
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 965
25.0%
H 965
25.0%
M 965
25.0%
B 965
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20265
84.0%
Latin 3860
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8276
40.8%
2 3643
18.0%
5 2306
 
11.4%
3 2072
 
10.2%
4 1805
 
8.9%
1 1076
 
5.3%
9 439
 
2.2%
7 231
 
1.1%
6 214
 
1.1%
8 203
 
1.0%
Latin
ValueCountFrequency (%)
P 965
25.0%
H 965
25.0%
M 965
25.0%
B 965
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8276
34.3%
2 3643
15.1%
5 2306
 
9.6%
3 2072
 
8.6%
4 1805
 
7.5%
1 1076
 
4.5%
P 965
 
4.0%
H 965
 
4.0%
M 965
 
4.0%
B 965
 
4.0%
Other values (4) 1087
 
4.5%

인허가일자
Real number (ℝ)

Distinct852
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20119193
Minimum19841128
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:31.348068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841128
5-th percentile19990313
Q120080110
median20130610
Q320181108
95-th percentile20201188
Maximum20210330
Range369202
Interquartile range (IQR)100998

Descriptive statistics

Standard deviation75293.156
Coefficient of variation (CV)0.0037423547
Kurtosis1.8127974
Mean20119193
Median Absolute Deviation (MAD)50499
Skewness-1.1614083
Sum1.9415021 × 1010
Variance5.6690593 × 109
MonotonicityNot monotonic
2024-04-17T10:36:31.468572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200302 4
 
0.4%
20200304 4
 
0.4%
20200825 4
 
0.4%
20210204 4
 
0.4%
20121015 3
 
0.3%
20101228 3
 
0.3%
20200428 3
 
0.3%
20200331 3
 
0.3%
20210205 3
 
0.3%
20201223 3
 
0.3%
Other values (842) 931
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 (%)
20210330 2
0.2%
20210324 1
0.1%
20210319 1
0.1%
20210318 1
0.1%
20210317 1
0.1%
20210311 2
0.2%
20210310 1
0.1%
20210305 2
0.2%
20210304 1
0.1%
20210225 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing965
Missing (%)100.0%
Memory size8.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
1
584 
3
365 
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 (%)
1 584
60.5%
3 365
37.8%
4 10
 
1.0%
2 6
 
0.6%

Length

2024-04-17T10:36:31.585558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:31.663311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 584
60.5%
3 365
37.8%
4 10
 
1.0%
2 6
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
영업/정상
584 
폐업
365 
취소/말소/만료/정지/중지
 
10
휴업
 
6

Length

Max length14
Median length5
Mean length3.9398964
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 584
60.5%
폐업 365
37.8%
취소/말소/만료/정지/중지 10
 
1.0%
휴업 6
 
0.6%

Length

2024-04-17T10:36:31.752340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:31.836686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 584
60.5%
폐업 365
37.8%
취소/말소/만료/정지/중지 10
 
1.0%
휴업 6
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
13
584 
3
365 
24
 
10
2
 
6

Length

Max length2
Median length2
Mean length1.615544
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 584
60.5%
3 365
37.8%
24 10
 
1.0%
2 6
 
0.6%

Length

2024-04-17T10:36:31.928179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:32.019068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 584
60.5%
3 365
37.8%
24 10
 
1.0%
2 6
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
영업중
584 
폐업
365 
직권폐업
 
10
휴업
 
6

Length

Max length4
Median length3
Mean length2.6259067
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 584
60.5%
폐업 365
37.8%
직권폐업 10
 
1.0%
휴업 6
 
0.6%

Length

2024-04-17T10:36:32.114411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:32.202539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 584
60.5%
폐업 365
37.8%
직권폐업 10
 
1.0%
휴업 6
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)92.0%
Missing590
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean20141534
Minimum19851130
Maximum20210310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:32.303618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851130
5-th percentile20090591
Q120110711
median20140403
Q320171122
95-th percentile20200550
Maximum20210310
Range359180
Interquartile range (IQR)60410.5

Descriptive statistics

Standard deviation39251.091
Coefficient of variation (CV)0.0019487638
Kurtosis6.5673499
Mean20141534
Median Absolute Deviation (MAD)30092
Skewness-0.92416292
Sum7.5530751 × 109
Variance1.5406481 × 109
MonotonicityNot monotonic
2024-04-17T10:36:32.447566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120727 3
 
0.3%
20090305 2
 
0.2%
20110107 2
 
0.2%
20171101 2
 
0.2%
20120716 2
 
0.2%
20161017 2
 
0.2%
20150518 2
 
0.2%
20140403 2
 
0.2%
20091216 2
 
0.2%
20120608 2
 
0.2%
Other values (335) 354
36.7%
(Missing) 590
61.1%
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 (%)
20210310 1
0.1%
20210215 1
0.1%
20210204 1
0.1%
20210203 1
0.1%
20210202 1
0.1%
20210120 1
0.1%
20210106 1
0.1%
20201223 2
0.2%
20201210 1
0.1%
20201127 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing959
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20174018
Minimum20140928
Maximum20201016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:32.545956image/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
2024-04-17T10:36:32.633663image/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) 959
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%
Missing959
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20182625
Minimum20150928
Maximum20210920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:32.715191image/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
2024-04-17T10:36:32.798043image/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) 959
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 

Missing965
Missing (%)100.0%
Memory size8.6 KiB

소재지전화
Text

MISSING 

Distinct600
Distinct (%)95.8%
Missing339
Missing (%)35.1%
Memory size7.7 KiB
2024-04-17T10:36:32.998220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length10.541534
Min length7

Characters and Unicode

Total characters6599
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

Unique576 ?
Unique (%)92.0%

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%
051-723-0906 2
 
0.3%
851-4002 2
 
0.3%
051-638-9934 2
 
0.3%
070-7718-8282 2
 
0.3%
070-4179-7030 2
 
0.3%
051-627-4842 2
 
0.3%
070-7121-6224 2
 
0.3%
Other values (593) 609
96.4%
2024-04-17T10:36:33.318024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 982
14.9%
0 892
13.5%
5 886
13.4%
1 842
12.8%
2 471
7.1%
6 463
7.0%
3 454
6.9%
8 449
6.8%
7 428
6.5%
4 403
6.1%
Other values (5) 329
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5594
84.8%
Dash Punctuation 982
 
14.9%
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 (%)
0 892
15.9%
5 886
15.8%
1 842
15.1%
2 471
8.4%
6 463
8.3%
3 454
8.1%
8 449
8.0%
7 428
7.7%
4 403
7.2%
9 306
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 982
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 6599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 982
14.9%
0 892
13.5%
5 886
13.4%
1 842
12.8%
2 471
7.1%
6 463
7.0%
3 454
6.9%
8 449
6.8%
7 428
6.5%
4 403
6.1%
Other values (5) 329
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 982
14.9%
0 892
13.5%
5 886
13.4%
1 842
12.8%
2 471
7.1%
6 463
7.0%
3 454
6.9%
8 449
6.8%
7 428
6.5%
4 403
6.1%
Other values (5) 329
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing965
Missing (%)100.0%
Memory size8.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)65.8%
Missing527
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean604021
Minimum47534
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:33.438927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47534
5-th percentile601013
Q1607803.25
median611080
Q3614042.75
95-th percentile617807
Maximum619963
Range572429
Interquartile range (IQR)6239.5

Descriptive statistics

Standard deviation60045.086
Coefficient of variation (CV)0.099408939
Kurtosis82.399041
Mean604021
Median Absolute Deviation (MAD)3262
Skewness-9.1337537
Sum2.645612 × 108
Variance3.6054124 × 109
MonotonicityNot monotonic
2024-04-17T10:36:33.547129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611080 7
 
0.7%
607020 5
 
0.5%
612021 5
 
0.5%
612050 5
 
0.5%
614040 5
 
0.5%
607822 5
 
0.5%
607837 5
 
0.5%
604010 4
 
0.4%
601013 4
 
0.4%
617721 4
 
0.4%
Other values (278) 389
40.3%
(Missing) 527
54.6%
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 

Distinct786
Distinct (%)96.7%
Missing152
Missing (%)15.8%
Memory size7.7 KiB
2024-04-17T10:36:33.834285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length25.766298
Min length12

Characters and Unicode

Total characters20948
Distinct characters307
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

Unique762 ?
Unique (%)93.7%

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 813
 
18.2%
부산진구 107
 
2.4%
동래구 103
 
2.3%
1호 89
 
2.0%
해운대구 63
 
1.4%
연제구 60
 
1.3%
사하구 59
 
1.3%
금정구 57
 
1.3%
사상구 56
 
1.3%
남구 53
 
1.2%
Other values (1248) 3001
67.3%
2024-04-17T10:36:34.265815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3664
 
17.5%
산 1000
 
4.8%
동 998
 
4.8%
부 991
 
4.7%
1 990
 
4.7%
광 842
 
4.0%
시 828
 
4.0%
구 818
 
3.9%
역 815
 
3.9%
호 780
 
3.7%
Other values (297) 9222
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12735
60.8%
Decimal Number 4361
 
20.8%
Space Separator 3664
 
17.5%
Dash Punctuation 96
 
0.5%
Uppercase Letter 49
 
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 1000
 
7.9%
동 998
 
7.8%
부 991
 
7.8%
광 842
 
6.6%
시 828
 
6.5%
구 818
 
6.4%
역 815
 
6.4%
호 780
 
6.1%
지 749
 
5.9%
번 703
 
5.5%
Other values (256) 4211
33.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
12.2%
S 6
12.2%
A 5
10.2%
K 4
8.2%
C 4
8.2%
H 4
8.2%
I 3
 
6.1%
P 3
 
6.1%
L 3
 
6.1%
T 3
 
6.1%
Other values (7) 8
16.3%
Decimal Number
ValueCountFrequency (%)
1 990
22.7%
2 645
14.8%
3 534
12.2%
4 396
 
9.1%
5 367
 
8.4%
0 358
 
8.2%
6 306
 
7.0%
7 289
 
6.6%
8 252
 
5.8%
9 224
 
5.1%
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 (%)
, 8
66.7%
@ 2
 
16.7%
& 1
 
8.3%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
3664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12735
60.8%
Common 8157
38.9%
Latin 56
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1000
 
7.9%
동 998
 
7.8%
부 991
 
7.8%
광 842
 
6.6%
시 828
 
6.5%
구 818
 
6.4%
역 815
 
6.4%
호 780
 
6.1%
지 749
 
5.9%
번 703
 
5.5%
Other values (256) 4211
33.1%
Latin
ValueCountFrequency (%)
B 6
 
10.7%
S 6
 
10.7%
A 5
 
8.9%
K 4
 
7.1%
C 4
 
7.1%
H 4
 
7.1%
I 3
 
5.4%
P 3
 
5.4%
L 3
 
5.4%
T 3
 
5.4%
Other values (13) 15
26.8%
Common
ValueCountFrequency (%)
3664
44.9%
1 990
 
12.1%
2 645
 
7.9%
3 534
 
6.5%
4 396
 
4.9%
5 367
 
4.5%
0 358
 
4.4%
6 306
 
3.8%
7 289
 
3.5%
8 252
 
3.1%
Other values (8) 356
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12735
60.8%
ASCII 8213
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3664
44.6%
1 990
 
12.1%
2 645
 
7.9%
3 534
 
6.5%
4 396
 
4.8%
5 367
 
4.5%
0 358
 
4.4%
6 306
 
3.7%
7 289
 
3.5%
8 252
 
3.1%
Other values (31) 412
 
5.0%
Hangul
ValueCountFrequency (%)
산 1000
 
7.9%
동 998
 
7.8%
부 991
 
7.8%
광 842
 
6.6%
시 828
 
6.5%
구 818
 
6.4%
역 815
 
6.4%
호 780
 
6.1%
지 749
 
5.9%
번 703
 
5.5%
Other values (256) 4211
33.1%

도로명전체주소
Text

MISSING 

Distinct914
Distinct (%)96.1%
Missing14
Missing (%)1.5%
Memory size7.7 KiB
2024-04-17T10:36:34.525241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length31.113565
Min length19

Characters and Unicode

Total characters29589
Distinct characters370
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

Unique882 ?
Unique (%)92.7%

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 951
 
16.8%
부산진구 129
 
2.3%
동래구 113
 
2.0%
2층 95
 
1.7%
1층 79
 
1.4%
연제구 70
 
1.2%
사하구 66
 
1.2%
남구 65
 
1.1%
북구 65
 
1.1%
해운대구 63
 
1.1%
Other values (1544) 3980
70.1%
2024-04-17T10:36:34.942027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4737
 
16.0%
동 1263
 
4.3%
산 1199
 
4.1%
부 1171
 
4.0%
1 1062
 
3.6%
광 1014
 
3.4%
시 996
 
3.4%
구 963
 
3.3%
역 954
 
3.2%
로 934
 
3.2%
Other values (360) 15296
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17299
58.5%
Decimal Number 4813
 
16.3%
Space Separator 4737
 
16.0%
Close Punctuation 925
 
3.1%
Open Punctuation 924
 
3.1%
Other Punctuation 672
 
2.3%
Dash Punctuation 154
 
0.5%
Uppercase Letter 58
 
0.2%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1263
 
7.3%
산 1199
 
6.9%
부 1171
 
6.8%
광 1014
 
5.9%
시 996
 
5.8%
구 963
 
5.6%
역 954
 
5.5%
로 934
 
5.4%
길 500
 
2.9%
번 491
 
2.8%
Other values (316) 7814
45.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
15.5%
A 8
13.8%
S 5
8.6%
C 5
8.6%
H 4
 
6.9%
T 4
 
6.9%
K 4
 
6.9%
L 3
 
5.2%
E 3
 
5.2%
O 3
 
5.2%
Other values (9) 10
17.2%
Decimal Number
ValueCountFrequency (%)
1 1062
22.1%
2 813
16.9%
3 566
11.8%
0 462
9.6%
4 429
8.9%
5 358
 
7.4%
6 326
 
6.8%
7 287
 
6.0%
8 273
 
5.7%
9 237
 
4.9%
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 (%)
, 665
99.0%
· 2
 
0.3%
/ 2
 
0.3%
@ 2
 
0.3%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4737
100.0%
Close Punctuation
ValueCountFrequency (%)
) 925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 924
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17299
58.5%
Common 12225
41.3%
Latin 65
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1263
 
7.3%
산 1199
 
6.9%
부 1171
 
6.8%
광 1014
 
5.9%
시 996
 
5.8%
구 963
 
5.6%
역 954
 
5.5%
로 934
 
5.4%
길 500
 
2.9%
번 491
 
2.8%
Other values (316) 7814
45.2%
Latin
ValueCountFrequency (%)
B 9
13.8%
A 8
12.3%
S 5
 
7.7%
C 5
 
7.7%
H 4
 
6.2%
T 4
 
6.2%
K 4
 
6.2%
L 3
 
4.6%
E 3
 
4.6%
O 3
 
4.6%
Other values (15) 17
26.2%
Common
ValueCountFrequency (%)
4737
38.7%
1 1062
 
8.7%
) 925
 
7.6%
( 924
 
7.6%
2 813
 
6.7%
, 665
 
5.4%
3 566
 
4.6%
0 462
 
3.8%
4 429
 
3.5%
5 358
 
2.9%
Other values (9) 1284
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17299
58.5%
ASCII 12288
41.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4737
38.5%
1 1062
 
8.6%
) 925
 
7.5%
( 924
 
7.5%
2 813
 
6.6%
, 665
 
5.4%
3 566
 
4.6%
0 462
 
3.8%
4 429
 
3.5%
5 358
 
2.9%
Other values (33) 1347
 
11.0%
Hangul
ValueCountFrequency (%)
동 1263
 
7.3%
산 1199
 
6.9%
부 1171
 
6.8%
광 1014
 
5.9%
시 996
 
5.8%
구 963
 
5.6%
역 954
 
5.5%
로 934
 
5.4%
길 500
 
2.9%
번 491
 
2.8%
Other values (316) 7814
45.2%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)73.2%
Missing189
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean117352.81
Minimum46004
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:35.059463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46079
Q146961.25
median47816
Q348902.5
95-th percentile613807
Maximum619912
Range573908
Interquartile range (IQR)1941.25

Descriptive statistics

Standard deviation185652.85
Coefficient of variation (CV)1.5820061
Kurtosis3.2559685
Mean117352.81
Median Absolute Deviation (MAD)975.5
Skewness2.290501
Sum91065779
Variance3.4466982 × 1010
MonotonicityNot monotonic
2024-04-17T10:36:35.166268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46506 6
 
0.6%
46759 6
 
0.6%
46726 5
 
0.5%
48493 5
 
0.5%
46988 5
 
0.5%
46647 4
 
0.4%
47029 4
 
0.4%
48729 4
 
0.4%
46033 4
 
0.4%
49511 4
 
0.4%
Other values (558) 729
75.5%
(Missing) 189
 
19.6%
ValueCountFrequency (%)
46004 1
 
0.1%
46015 2
0.2%
46020 3
0.3%
46022 1
 
0.1%
46024 2
0.2%
46029 1
 
0.1%
46032 1
 
0.1%
46033 4
0.4%
46035 1
 
0.1%
46036 1
 
0.1%
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

Distinct891
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-04-17T10:36:35.357800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length7.2124352
Min length2

Characters and Unicode

Total characters6960
Distinct characters432
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

Unique827 ?
Unique (%)85.7%

Sample

1st row유일종합방역공사
2nd row(주)광성기업
3rd row(주)덕진경호시스템
4th row(주)프리엠환경
5th row(주)청우안전시스템
ValueCountFrequency (%)
주식회사 63
 
5.4%
방역 10
 
0.9%
대한방역 7
 
0.6%
주 7
 
0.6%
주)세스코 5
 
0.4%
에코유 4
 
0.3%
그린f5 4
 
0.3%
아름드리 4
 
0.3%
부산지사 4
 
0.3%
에이스 3
 
0.3%
Other values (966) 1065
90.6%
2024-04-17T10:36:35.672992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 433
 
6.2%
) 377
 
5.4%
( 365
 
5.2%
211
 
3.0%
스 209
 
3.0%
사 182
 
2.6%
경 153
 
2.2%
방 148
 
2.1%
역 142
 
2.0%
이 142
 
2.0%
Other values (422) 4598
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5748
82.6%
Close Punctuation 377
 
5.4%
Open Punctuation 365
 
5.2%
Space Separator 211
 
3.0%
Uppercase Letter 136
 
2.0%
Lowercase Letter 69
 
1.0%
Decimal Number 32
 
0.5%
Other Punctuation 17
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 433
 
7.5%
스 209
 
3.6%
사 182
 
3.2%
경 153
 
2.7%
방 148
 
2.6%
역 142
 
2.5%
이 142
 
2.5%
환 132
 
2.3%
산 103
 
1.8%
린 102
 
1.8%
Other values (369) 4002
69.6%
Uppercase Letter
ValueCountFrequency (%)
C 21
15.4%
E 14
 
10.3%
M 10
 
7.4%
S 10
 
7.4%
F 9
 
6.6%
G 8
 
5.9%
T 8
 
5.9%
P 8
 
5.9%
K 7
 
5.1%
N 6
 
4.4%
Other values (13) 35
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 13
18.8%
a 7
10.1%
o 7
10.1%
n 6
8.7%
t 5
 
7.2%
s 5
 
7.2%
r 5
 
7.2%
c 4
 
5.8%
l 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
47.1%
. 7
41.2%
· 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Open Punctuation
ValueCountFrequency (%)
( 365
100.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5748
82.6%
Common 1007
 
14.5%
Latin 205
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 433
 
7.5%
스 209
 
3.6%
사 182
 
3.2%
경 153
 
2.7%
방 148
 
2.6%
역 142
 
2.5%
이 142
 
2.5%
환 132
 
2.3%
산 103
 
1.8%
린 102
 
1.8%
Other values (369) 4002
69.6%
Latin
ValueCountFrequency (%)
C 21
 
10.2%
E 14
 
6.8%
e 13
 
6.3%
M 10
 
4.9%
S 10
 
4.9%
F 9
 
4.4%
G 8
 
3.9%
T 8
 
3.9%
P 8
 
3.9%
a 7
 
3.4%
Other values (30) 97
47.3%
Common
ValueCountFrequency (%)
) 377
37.4%
( 365
36.2%
211
21.0%
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 (3) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5748
82.6%
ASCII 1210
 
17.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 433
 
7.5%
스 209
 
3.6%
사 182
 
3.2%
경 153
 
2.7%
방 148
 
2.6%
역 142
 
2.5%
이 142
 
2.5%
환 132
 
2.3%
산 103
 
1.8%
린 102
 
1.8%
Other values (369) 4002
69.6%
ASCII
ValueCountFrequency (%)
) 377
31.2%
( 365
30.2%
211
17.4%
C 21
 
1.7%
E 14
 
1.2%
e 13
 
1.1%
1 12
 
1.0%
5 10
 
0.8%
M 10
 
0.8%
S 10
 
0.8%
Other values (42) 167
13.8%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct965
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169404 × 1013
Minimum2.0081114 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:36.018407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081114 × 1013
5-th percentile2.0100905 × 1013
Q12.014101 × 1013
median2.0180517 × 1013
Q32.020042 × 1013
95-th percentile2.0210204 × 1013
Maximum2.021033 × 1013
Range1.2921606 × 1011
Interquartile range (IQR)5.9410009 × 1010

Descriptive statistics

Standard deviation3.5203328 × 1010
Coefficient of variation (CV)0.0017453827
Kurtosis-0.57556869
Mean2.0169404 × 1013
Median Absolute Deviation (MAD)2.031394 × 1010
Skewness-0.78994166
Sum1.9463475 × 1016
Variance1.2392743 × 1021
MonotonicityNot monotonic
2024-04-17T10:36:36.161290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091124134430 1
 
0.1%
20190117164845 1
 
0.1%
20200103085947 1
 
0.1%
20191126090809 1
 
0.1%
20171030112730 1
 
0.1%
20180219172849 1
 
0.1%
20180219173137 1
 
0.1%
20180122141658 1
 
0.1%
20140619092120 1
 
0.1%
20150520110616 1
 
0.1%
Other values (955) 955
99.0%
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 (%)
20210330172844 1
0.1%
20210330133701 1
0.1%
20210329183709 1
0.1%
20210329182126 1
0.1%
20210325104259 1
0.1%
20210324184832 1
0.1%
20210324175514 1
0.1%
20210324145358 1
0.1%
20210322182714 1
0.1%
20210322180938 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
I
686 
U
279 

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 686
71.1%
U 279
28.9%

Length

2024-04-17T10:36:36.268322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:36:36.341747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 686
71.1%
u 279
28.9%

데이터갱신일자
Date

Distinct348
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-01 00:22:58
2024-04-17T10:36:36.438465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:36:36.561353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing965
Missing (%)100.0%
Memory size8.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct829
Distinct (%)87.0%
Missing12
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean387917.19
Minimum367347.04
Maximum407739.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:36.686858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367347.04
5-th percentile379405.08
Q1384260.69
median388373.68
Q3391024.54
95-th percentile397871.5
Maximum407739.05
Range40392.011
Interquartile range (IQR)6763.8503

Descriptive statistics

Standard deviation5805.382
Coefficient of variation (CV)0.014965519
Kurtosis1.4314302
Mean387917.19
Median Absolute Deviation (MAD)2950.4982
Skewness0.16607062
Sum3.6968509 × 108
Variance33702460
MonotonicityNot monotonic
2024-04-17T10:36:36.799693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 6
 
0.6%
385651.871633914 4
 
0.4%
387927.951172724 4
 
0.4%
402789.748360406 4
 
0.4%
392104.55229188 3
 
0.3%
381550.484081978 3
 
0.3%
384162.7621038 3
 
0.3%
388560.40574043 3
 
0.3%
384741.923372529 3
 
0.3%
388377.975563711 3
 
0.3%
Other values (819) 917
95.0%
(Missing) 12
 
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%
371525.457259634 1
 
0.1%
372771.602774598 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 

Distinct829
Distinct (%)87.0%
Missing12
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean187732.77
Minimum174209.67
Maximum207670.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:36.909665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174209.67
5-th percentile178844.75
Q1183868.73
median187694.07
Q3191152.67
95-th percentile198090.61
Maximum207670.59
Range33460.923
Interquartile range (IQR)7283.9374

Descriptive statistics

Standard deviation5840.0422
Coefficient of variation (CV)0.031108273
Kurtosis0.43916392
Mean187732.77
Median Absolute Deviation (MAD)3593.1
Skewness0.41825027
Sum1.7890933 × 108
Variance34106093
MonotonicityNot monotonic
2024-04-17T10:36:37.030497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 6
 
0.6%
180892.474928023 4
 
0.4%
186582.791097672 4
 
0.4%
194134.946126511 4
 
0.4%
187766.515311555 3
 
0.3%
190977.393933828 3
 
0.3%
180299.003265813 3
 
0.3%
188933.010966698 3
 
0.3%
187364.899359566 3
 
0.3%
191942.775777965 3
 
0.3%
Other values (819) 917
95.0%
(Missing) 12
 
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 

Distinct639
Distinct (%)76.7%
Missing132
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean134.21627
Minimum3.87
Maximum73015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:37.149815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.87
5-th percentile8.208
Q117.3
median32.2
Q357.8
95-th percentile139.98
Maximum73015
Range73011.13
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation2528.6207
Coefficient of variation (CV)18.839897
Kurtosis832.44979
Mean134.21627
Median Absolute Deviation (MAD)17.35
Skewness28.847473
Sum111802.15
Variance6393922.7
MonotonicityNot monotonic
2024-04-17T10:36:37.260518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 9
 
0.9%
12.0 8
 
0.8%
20.0 8
 
0.8%
60.0 7
 
0.7%
25.0 6
 
0.6%
13.2 6
 
0.6%
9.9 6
 
0.6%
21.0 5
 
0.5%
33.0 5
 
0.5%
15.0 5
 
0.5%
Other values (629) 768
79.6%
(Missing) 132
 
13.7%
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 

Distinct508
Distinct (%)62.6%
Missing154
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean70.747238
Minimum0.96
Maximum41059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:37.373136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.96
5-th percentile2.82
Q16.6
median12.46
Q322.345
95-th percentile58.665
Maximum41059
Range41058.04
Interquartile range (IQR)15.745

Descriptive statistics

Standard deviation1441.356
Coefficient of variation (CV)20.373318
Kurtosis810.35224
Mean70.747238
Median Absolute Deviation (MAD)7.14
Skewness28.461065
Sum57376.01
Variance2077507
MonotonicityNot monotonic
2024-04-17T10:36:37.479177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 21
 
2.2%
6.0 10
 
1.0%
5.0 9
 
0.9%
12.0 9
 
0.9%
20.0 9
 
0.9%
8.0 8
 
0.8%
3.0 8
 
0.8%
9.0 8
 
0.8%
9.9 7
 
0.7%
16.0 7
 
0.7%
Other values (498) 715
74.1%
(Missing) 154
 
16.0%
ValueCountFrequency (%)
0.96 1
 
0.1%
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%
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%
Mean1.1088083
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:37.571371image/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 deviation0.47942645
Coefficient of variation (CV)0.43237993
Kurtosis76.172553
Mean1.1088083
Median Absolute Deviation (MAD)0
Skewness7.314762
Sum1070
Variance0.22984972
MonotonicityNot monotonic
2024-04-17T10:36:37.654764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 894
92.6%
2 51
 
5.3%
3 13
 
1.3%
4 5
 
0.5%
7 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
1 894
92.6%
2 51
 
5.3%
3 13
 
1.3%
4 5
 
0.5%
7 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 1
 
0.1%
4 5
 
0.5%
3 13
 
1.3%
2 51
 
5.3%
1 894
92.6%

휴대용소독기수
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1119171
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:37.742045image/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 deviation0.58854289
Coefficient of variation (CV)0.27867708
Kurtosis84.993034
Mean2.1119171
Median Absolute Deviation (MAD)0
Skewness8.1714159
Sum2038
Variance0.34638273
MonotonicityNot monotonic
2024-04-17T10:36:37.836656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 909
94.2%
3 32
 
3.3%
4 12
 
1.2%
5 7
 
0.7%
7 3
 
0.3%
10 2
 
0.2%
ValueCountFrequency (%)
2 909
94.2%
3 32
 
3.3%
4 12
 
1.2%
5 7
 
0.7%
7 3
 
0.3%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
7 3
 
0.3%
5 7
 
0.7%
4 12
 
1.2%
3 32
 
3.3%
2 909
94.2%

동력분무기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60829016
Minimum0
Maximum6
Zeros405
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:37.921793image/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 deviation0.58502552
Coefficient of variation (CV)0.96175404
Kurtosis11.024354
Mean0.60829016
Median Absolute Deviation (MAD)0
Skewness1.5352222
Sum587
Variance0.34225485
MonotonicityNot monotonic
2024-04-17T10:36:38.009240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 546
56.6%
0 405
42.0%
2 7
 
0.7%
3 4
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
0 405
42.0%
1 546
56.6%
2 7
 
0.7%
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
 
0.7%
1 546
56.6%
0 405
42.0%

수동식분무기수
Real number (ℝ)

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3533679
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:38.106699image/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 deviation1.3734673
Coefficient of variation (CV)0.31549534
Kurtosis22.699946
Mean4.3533679
Median Absolute Deviation (MAD)0
Skewness2.7380885
Sum4201
Variance1.8864124
MonotonicityNot monotonic
2024-04-17T10:36:38.219921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 523
54.2%
3 372
38.5%
4 20
 
2.1%
6 19
 
2.0%
7 10
 
1.0%
8 9
 
0.9%
9 4
 
0.4%
10 4
 
0.4%
20 1
 
0.1%
15 1
 
0.1%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
3 372
38.5%
4 20
 
2.1%
5 523
54.2%
6 19
 
2.0%
7 10
 
1.0%
8 9
 
0.9%
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
 
0.9%
7 10
 
1.0%
6 19
 
2.0%
5 523
54.2%

방독면수
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0766839
Minimum5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:38.304984image/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 deviation0.58537269
Coefficient of variation (CV)0.11530611
Kurtosis83.530998
Mean5.0766839
Median Absolute Deviation (MAD)0
Skewness8.8803318
Sum4899
Variance0.34266119
MonotonicityNot monotonic
2024-04-17T10:36:38.388319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 942
97.6%
6 7
 
0.7%
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 (%)
5 942
97.6%
6 7
 
0.7%
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 7
 
0.7%
5 942
97.6%

보호안경수
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0746114
Minimum5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:38.478144image/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 deviation0.56765147
Coefficient of variation (CV)0.11186107
Kurtosis88.297187
Mean5.0746114
Median Absolute Deviation (MAD)0
Skewness9.0477554
Sum4897
Variance0.32222819
MonotonicityNot monotonic
2024-04-17T10:36:38.569918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 942
97.6%
6 6
 
0.6%
7 6
 
0.6%
10 5
 
0.5%
8 3
 
0.3%
12 2
 
0.2%
11 1
 
0.1%
ValueCountFrequency (%)
5 942
97.6%
6 6
 
0.6%
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 6
 
0.6%
5 942
97.6%

보호용의복수
Real number (ℝ)

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2020725
Minimum5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:38.672260image/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 deviation1.7803666
Coefficient of variation (CV)0.34224179
Kurtosis213.09553
Mean5.2020725
Median Absolute Deviation (MAD)0
Skewness13.413388
Sum5020
Variance3.1697052
MonotonicityNot monotonic
2024-04-17T10:36:38.778788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 937
97.1%
10 8
 
0.8%
6 5
 
0.5%
7 4
 
0.4%
12 2
 
0.2%
8 2
 
0.2%
20 2
 
0.2%
40 1
 
0.1%
14 1
 
0.1%
24 1
 
0.1%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
5 937
97.1%
6 5
 
0.5%
7 4
 
0.4%
8 2
 
0.2%
9 1
 
0.1%
10 8
 
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 8
0.8%
9 1
 
0.1%
8 2
 
0.2%
7 4
0.4%

진공청소기수
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1108808
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-04-17T10:36:38.889487image/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 deviation0.52838098
Coefficient of variation (CV)0.47564146
Kurtosis104.21742
Mean1.1108808
Median Absolute Deviation (MAD)0
Skewness8.4852787
Sum1072
Variance0.27918646
MonotonicityNot monotonic
2024-04-17T10:36:38.971867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 898
93.1%
2 46
 
4.8%
3 14
 
1.5%
5 4
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
1 898
93.1%
2 46
 
4.8%
3 14
 
1.5%
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 14
 
1.5%
2 46
 
4.8%
1 898
93.1%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing965
Missing (%)100.0%
Memory size8.6 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>
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955956소독업09_30_11_P3330000PHMB52020333002404250000620200706<NA>1영업/정상13영업중<NA><NA><NA><NA>051-704-4356<NA><NA>부산광역시 해운대구 좌동 1429-1 신도시시장부산광역시 해운대구 좌동로 152, 신도시시장 3층 304호 (좌동)48108주식회사 올데이365케어시스템20200917165858U2020-09-19 02:40:00.0<NA>398628.50347188364.542637<NA><NA>12035551<NA>
956957소독업09_30_11_P3330000PHMB52020333002404250000720200827<NA>1영업/정상13영업중<NA><NA><NA><NA>1668-2460<NA><NA>부산광역시 해운대구 우동 1405 마린파크부산광역시 해운대구 마린시티2로 2, 마린파크 1층 115호 (우동)48092더클린앳홈20201118134139U2020-11-20 02:40:00.0<NA>395308.610453186564.639114<NA><NA>12035551<NA>
957958소독업09_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>
958959소독업09_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>
959960소독업09_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>
960961소독업09_30_11_P3330000PHMB52021333002404250000320210217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-139 114부동산부산광역시 해운대구 재반로242번길 18, 114부동산 (반여동)48027그린텍20210218092130I2021-02-20 00:23:02.0<NA>394120.338474190894.655759<NA><NA>12045553<NA>
961962소독업09_30_11_P3330000PHMB52021333002404250000220210210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1514 센텀리더스마크 2402호부산광역시 해운대구 APEC로 17, 센텀리더스마크 2402호 (우동)48060신성커뮤니티(주)20210213143612U2021-02-16 02:40:00.0<NA>394209.294345187280.207931<NA><NA>12035551<NA>
962963소독업09_30_11_P3330000PHMB52021333002404250000520210317<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1129-10부산광역시 해운대구 재반로84번길 73 (재송동)48053방역시스템즈20210322182714I2021-03-24 00:23:10.0<NA>393835.582666189689.993008<NA><NA>12035551<NA>
963964소독업09_30_11_P3330000PHMB52021333002404250000420210311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1462 센텀그린타워부산광역시 해운대구 센텀중앙로 78, 센텀그린타워 1504호 (우동)48059베스트플레이어20210318162807I2021-03-20 00:22:59.0<NA>393696.083566188229.689547<NA><NA>12035551<NA>
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