Overview

Dataset statistics

Number of variables37
Number of observations152
Missing cells1695
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.6 KiB
Average record size in memory320.9 B

Variable types

Numeric10
Categorical14
Unsupported9
Text4

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123151

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
환경업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (91.4%)Imbalance
휴업종료일자 is highly imbalanced (92.8%)Imbalance
재개업일자 is highly imbalanced (92.8%)Imbalance
데이터갱신일자 is highly imbalanced (70.7%)Imbalance
업태구분명 is highly imbalanced (59.1%)Imbalance
업종구분명 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 152 (100.0%) missing valuesMissing
폐업일자 has 49 (32.2%) missing valuesMissing
소재지전화 has 60 (39.5%) missing valuesMissing
소재지면적 has 152 (100.0%) missing valuesMissing
소재지우편번호 has 23 (15.1%) missing valuesMissing
도로명전체주소 has 47 (30.9%) missing valuesMissing
도로명우편번호 has 108 (71.1%) missing valuesMissing
좌표정보(x) has 20 (13.2%) missing valuesMissing
좌표정보(y) has 20 (13.2%) missing valuesMissing
종별명 has 152 (100.0%) missing valuesMissing
주생산품명 has 152 (100.0%) missing valuesMissing
배출시설조업시간 has 152 (100.0%) missing valuesMissing
배출시설연간가동일수 has 152 (100.0%) missing valuesMissing
방지시설조업시간 has 152 (100.0%) missing valuesMissing
방지시설연간가동일수 has 152 (100.0%) missing valuesMissing
Unnamed: 36 has 152 (100.0%) missing valuesMissing
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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 10:36:10.944904
Analysis finished2024-04-16 10:36:11.331475
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.5
Minimum1
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:11.387813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.55
Q138.75
median76.5
Q3114.25
95-th percentile144.45
Maximum152
Range151
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation44.022721
Coefficient of variation (CV)0.57546041
Kurtosis-1.2
Mean76.5
Median Absolute Deviation (MAD)38
Skewness0
Sum11628
Variance1938
MonotonicityStrictly increasing
2024-04-16T19:36:11.749533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개인하수처리시설관리업(사업장)
152 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인하수처리시설관리업(사업장)
2nd row개인하수처리시설관리업(사업장)
3rd row개인하수처리시설관리업(사업장)
4th row개인하수처리시설관리업(사업장)
5th row개인하수처리시설관리업(사업장)

Common Values

ValueCountFrequency (%)
개인하수처리시설관리업(사업장) 152
100.0%

Length

2024-04-16T19:36:11.854538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:11.947460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인하수처리시설관리업(사업장 152
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
09_30_03_P
152 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_03_P
2nd row09_30_03_P
3rd row09_30_03_P
4th row09_30_03_P
5th row09_30_03_P

Common Values

ValueCountFrequency (%)
09_30_03_P 152
100.0%

Length

2024-04-16T19:36:12.031492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:12.112066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_03_p 152
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3335394.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:12.184756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3275500
Q13300000
median3330000
Q33370000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation40031.14
Coefficient of variation (CV)0.01200192
Kurtosis-1.0695465
Mean3335394.7
Median Absolute Deviation (MAD)30000
Skewness0.096655187
Sum5.0698 × 108
Variance1.6024922 × 109
MonotonicityNot monotonic
2024-04-16T19:36:12.283970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 24
15.8%
3300000 19
12.5%
3390000 16
10.5%
3290000 16
10.5%
3400000 13
8.6%
3310000 13
8.6%
3320000 11
7.2%
3330000 9
 
5.9%
3370000 9
 
5.9%
3340000 5
 
3.3%
Other values (6) 17
11.2%
ValueCountFrequency (%)
3250000 1
 
0.7%
3260000 3
 
2.0%
3270000 4
 
2.6%
3280000 2
 
1.3%
3290000 16
10.5%
3300000 19
12.5%
3310000 13
8.6%
3320000 11
7.2%
3330000 9
5.9%
3340000 5
 
3.3%
ValueCountFrequency (%)
3400000 13
8.6%
3390000 16
10.5%
3380000 3
 
2.0%
3370000 9
 
5.9%
3360000 4
 
2.6%
3350000 24
15.8%
3340000 5
 
3.3%
3330000 9
 
5.9%
3320000 11
7.2%
3310000 13
8.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3353953 × 1017
Minimum3.2500005 × 1017
Maximum3.4000005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:12.391950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500005 × 1017
5-th percentile3.2755005 × 1017
Q13.3000005 × 1017
median3.3300005 × 1017
Q33.3700005 × 1017
95-th percentile3.4000005 × 1017
Maximum3.4000005 × 1017
Range1.5 × 1016
Interquartile range (IQR)7 × 1015

Descriptive statistics

Standard deviation4.003114 × 1015
Coefficient of variation (CV)0.012001918
Kurtosis-1.0695465
Mean3.3353953 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.096655202
Sum-4.6422241 × 1018
Variance1.6024922 × 1031
MonotonicityNot monotonic
2024-04-16T19:36:12.512762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333000053201900001 1
 
0.7%
335000053201000002 1
 
0.7%
336000053201000001 1
 
0.7%
336000053200100001 1
 
0.7%
336000053201200001 1
 
0.7%
335000053201300001 1
 
0.7%
335000053000000016 1
 
0.7%
335000053000000015 1
 
0.7%
335000053201200001 1
 
0.7%
335000053000000024 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
325000053200800001 1
0.7%
326000053200400001 1
0.7%
326000053200400002 1
0.7%
326000053200417784 1
0.7%
327000053200000001 1
0.7%
327000053200200001 1
0.7%
327000053200900001 1
0.7%
327000053201000001 1
0.7%
328000053199900011 1
0.7%
328000053200300001 1
0.7%
ValueCountFrequency (%)
340000053201700001 1
0.7%
340000053201400001 1
0.7%
340000053201000002 1
0.7%
340000053201000001 1
0.7%
340000053200600001 1
0.7%
340000053200400002 1
0.7%
340000053200400001 1
0.7%
340000053200100001 1
0.7%
340000053200000004 1
0.7%
340000053200000003 1
0.7%

인허가일자
Real number (ℝ)

Distinct130
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20040636
Minimum19990830
Maximum20190218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:12.640137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990830
5-th percentile20000107
Q120000810
median20025662
Q320063698
95-th percentile20130522
Maximum20190218
Range199388
Interquartile range (IQR)62887.75

Descriptive statistics

Standard deviation45288.709
Coefficient of variation (CV)0.0022598439
Kurtosis0.42577707
Mean20040636
Median Absolute Deviation (MAD)25095
Skewness1.0582027
Sum3.0461767 × 109
Variance2.0510672 × 109
MonotonicityNot monotonic
2024-04-16T19:36:12.779777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000107 7
 
4.6%
20000810 5
 
3.3%
20000814 3
 
2.0%
20000728 3
 
2.0%
20011211 2
 
1.3%
20040602 2
 
1.3%
20130522 2
 
1.3%
20000904 2
 
1.3%
20100713 2
 
1.3%
20000303 2
 
1.3%
Other values (120) 122
80.3%
ValueCountFrequency (%)
19990830 1
 
0.7%
19990921 1
 
0.7%
19991013 1
 
0.7%
19991101 1
 
0.7%
19991105 1
 
0.7%
19991203 1
 
0.7%
20000103 1
 
0.7%
20000107 7
4.6%
20000208 1
 
0.7%
20000215 1
 
0.7%
ValueCountFrequency (%)
20190218 1
0.7%
20170328 1
0.7%
20161212 1
0.7%
20151204 1
0.7%
20150703 1
0.7%
20141010 1
0.7%
20140115 1
0.7%
20130522 2
1.3%
20121113 1
0.7%
20120216 1
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
76 
1
74 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 76
50.0%
1 74
48.7%
4 1
 
0.7%
2 1
 
0.7%

Length

2024-04-16T19:36:12.907153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:12.990335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 76
50.0%
1 74
48.7%
4 1
 
0.7%
2 1
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
76 
영업/정상
74 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length2
Mean length3.5394737
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 76
50.0%
영업/정상 74
48.7%
취소/말소/만료/정지/중지 1
 
0.7%
휴업 1
 
0.7%

Length

2024-04-16T19:36:13.080457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:13.174494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 76
50.0%
영업/정상 74
48.7%
취소/말소/만료/정지/중지 1
 
0.7%
휴업 1
 
0.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2
76 
11
72 
3
 
2
4
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.4736842
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row4
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 76
50.0%
11 72
47.4%
3 2
 
1.3%
4 1
 
0.7%
1 1
 
0.7%

Length

2024-04-16T19:36:13.267759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:13.351762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 76
50.0%
11 72
47.4%
3 2
 
1.3%
4 1
 
0.7%
1 1
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
76 
영업
72 
재개업
 
2
폐쇄
 
1
휴업
 
1

Length

Max length3
Median length2
Mean length2.0131579
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 76
50.0%
영업 72
47.4%
재개업 2
 
1.3%
폐쇄 1
 
0.7%
휴업 1
 
0.7%

Length

2024-04-16T19:36:13.440536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:13.528148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 76
50.0%
영업 72
47.4%
재개업 2
 
1.3%
폐쇄 1
 
0.7%
휴업 1
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)93.2%
Missing49
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean20855656
Minimum20000601
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:13.628980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000601
5-th percentile20001220
Q120035727
median20070830
Q320121159
95-th percentile20170984
Maximum99991231
Range79990630
Interquartile range (IQR)85432

Descriptive statistics

Standard deviation7874078.2
Coefficient of variation (CV)0.37755121
Kurtosis102.9907
Mean20855656
Median Absolute Deviation (MAD)40416
Skewness10.148211
Sum2.1481326 × 109
Variance6.2001108 × 1013
MonotonicityNot monotonic
2024-04-16T19:36:13.762624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130207 3
 
2.0%
20141006 3
 
2.0%
20080617 2
 
1.3%
20181018 2
 
1.3%
20070105 2
 
1.3%
20101231 1
 
0.7%
20070517 1
 
0.7%
20040527 1
 
0.7%
20031010 1
 
0.7%
20060630 1
 
0.7%
Other values (86) 86
56.6%
(Missing) 49
32.2%
ValueCountFrequency (%)
20000601 1
0.7%
20000730 1
0.7%
20000904 1
0.7%
20000908 1
0.7%
20001218 1
0.7%
20001220 1
0.7%
20001222 1
0.7%
20011027 1
0.7%
20011129 1
0.7%
20011207 1
0.7%
ValueCountFrequency (%)
99991231 1
0.7%
20190830 1
0.7%
20181018 2
1.3%
20180515 1
0.7%
20171026 1
0.7%
20170608 1
0.7%
20170111 1
0.7%
20161206 1
0.7%
20160706 1
0.7%
20160516 1
0.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
149 
20071231
 
1
20130207
 
1
20201223
 
1

Length

Max length8
Median length4
Mean length4.0789474
Min length4

Unique

Unique3 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 149
98.0%
20071231 1
 
0.7%
20130207 1
 
0.7%
20201223 1
 
0.7%

Length

2024-04-16T19:36:13.884720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:13.976203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
98.0%
20071231 1
 
0.7%
20130207 1
 
0.7%
20201223 1
 
0.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
150 
20210104
 
1
20160223
 
1

Length

Max length8
Median length4
Mean length4.0526316
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
98.7%
20210104 1
 
0.7%
20160223 1
 
0.7%

Length

2024-04-16T19:36:14.073372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:14.164624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
98.7%
20210104 1
 
0.7%
20160223 1
 
0.7%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
150 
20210104
 
1
20160223
 
1

Length

Max length8
Median length4
Mean length4.0526316
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
98.7%
20210104 1
 
0.7%
20160223 1
 
0.7%

Length

2024-04-16T19:36:14.263771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:14.365045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
98.7%
20210104 1
 
0.7%
20160223 1
 
0.7%

소재지전화
Text

MISSING 

Distinct90
Distinct (%)97.8%
Missing60
Missing (%)39.5%
Memory size1.3 KiB
2024-04-16T19:36:14.563813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.913043
Min length7

Characters and Unicode

Total characters1004
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)95.7%

Sample

1st row051-743-0312
2nd row005107034884
3rd row005105213436
4th row051-722-6660
5th row0513618360
ValueCountFrequency (%)
051 35
 
25.0%
0512478115 2
 
1.4%
051-722-6660 2
 
1.4%
817 2
 
1.4%
2478115 2
 
1.4%
0519126661 1
 
0.7%
0513363351 1
 
0.7%
3135335 1
 
0.7%
3169212 1
 
0.7%
3100252 1
 
0.7%
Other values (92) 92
65.7%
2024-04-16T19:36:14.885051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 169
16.8%
1 168
16.7%
0 157
15.6%
2 96
9.6%
3 80
8.0%
6 79
7.9%
8 55
 
5.5%
49
 
4.9%
7 47
 
4.7%
4 45
 
4.5%
Other values (3) 59
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 917
91.3%
Space Separator 49
 
4.9%
Dash Punctuation 37
 
3.7%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 169
18.4%
1 168
18.3%
0 157
17.1%
2 96
10.5%
3 80
8.7%
6 79
8.6%
8 55
 
6.0%
7 47
 
5.1%
4 45
 
4.9%
9 21
 
2.3%
Space Separator
ValueCountFrequency (%)
49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 169
16.8%
1 168
16.7%
0 157
15.6%
2 96
9.6%
3 80
8.0%
6 79
7.9%
8 55
 
5.5%
49
 
4.9%
7 47
 
4.7%
4 45
 
4.5%
Other values (3) 59
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 169
16.8%
1 168
16.7%
0 157
15.6%
2 96
9.6%
3 80
8.0%
6 79
7.9%
8 55
 
5.5%
49
 
4.9%
7 47
 
4.7%
4 45
 
4.5%
Other values (3) 59
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)81.4%
Missing23
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean611836.82
Minimum600074
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:15.007322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600074
5-th percentile602810.8
Q1608021
median611081
Q3616807
95-th percentile619903
Maximum619963
Range19889
Interquartile range (IQR)8786

Descriptive statistics

Standard deviation5040.5548
Coefficient of variation (CV)0.0082383973
Kurtosis-0.82088461
Mean611836.82
Median Absolute Deviation (MAD)3266
Skewness-0.07796235
Sum78926950
Variance25407193
MonotonicityNot monotonic
2024-04-16T19:36:15.119618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619903 3
 
2.0%
609320 3
 
2.0%
609811 3
 
2.0%
607823 2
 
1.3%
614080 2
 
1.3%
619900 2
 
1.3%
608023 2
 
1.3%
608040 2
 
1.3%
609390 2
 
1.3%
617814 2
 
1.3%
Other values (95) 106
69.7%
(Missing) 23
 
15.1%
ValueCountFrequency (%)
600074 1
0.7%
601011 1
0.7%
601807 1
0.7%
601830 1
0.7%
601839 1
0.7%
602070 1
0.7%
602808 1
0.7%
602815 1
0.7%
604040 1
0.7%
604762 1
0.7%
ValueCountFrequency (%)
619963 1
 
0.7%
619952 2
1.3%
619912 1
 
0.7%
619906 1
 
0.7%
619903 3
2.0%
619901 1
 
0.7%
619900 2
1.3%
618802 1
 
0.7%
618210 1
 
0.7%
618140 1
 
0.7%

소재지전체주소
Text

Distinct146
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-16T19:36:15.415650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length23.828947
Min length14

Characters and Unicode

Total characters3622
Distinct characters159
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)92.1%

Sample

1st row부산광역시 해운대구 재송동 1216 벽산이센텀클래스원
2nd row부산광역시 해운대구 반여동 1355-19번지
3rd row부산광역시 해운대구 반여동 763-78번지
4th row부산광역시 해운대구 석대동 558-1번지
5th row부산광역시 해운대구 반여동 907-12번지
ValueCountFrequency (%)
부산광역시 152
 
22.0%
금정구 24
 
3.5%
동래구 19
 
2.7%
부산진구 16
 
2.3%
사상구 16
 
2.3%
기장군 13
 
1.9%
남구 13
 
1.9%
번지 12
 
1.7%
북구 11
 
1.6%
해운대구 9
 
1.3%
Other values (263) 407
58.8%
2024-04-16T19:36:15.831551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
558
 
15.4%
부 188
 
5.2%
산 184
 
5.1%
동 175
 
4.8%
1 159
 
4.4%
광 155
 
4.3%
시 154
 
4.3%
역 152
 
4.2%
구 148
 
4.1%
지 140
 
3.9%
Other values (149) 1609
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2175
60.0%
Decimal Number 744
 
20.5%
Space Separator 558
 
15.4%
Dash Punctuation 138
 
3.8%
Uppercase Letter 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 188
 
8.6%
산 184
 
8.5%
동 175
 
8.0%
광 155
 
7.1%
시 154
 
7.1%
역 152
 
7.0%
구 148
 
6.8%
지 140
 
6.4%
번 139
 
6.4%
장 34
 
1.6%
Other values (132) 706
32.5%
Decimal Number
ValueCountFrequency (%)
1 159
21.4%
2 110
14.8%
4 76
10.2%
3 75
10.1%
0 70
9.4%
5 64
8.6%
6 59
 
7.9%
8 50
 
6.7%
7 47
 
6.3%
9 34
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
E 1
 
20.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2175
60.0%
Common 1442
39.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 188
 
8.6%
산 184
 
8.5%
동 175
 
8.0%
광 155
 
7.1%
시 154
 
7.1%
역 152
 
7.0%
구 148
 
6.8%
지 140
 
6.4%
번 139
 
6.4%
장 34
 
1.6%
Other values (132) 706
32.5%
Common
ValueCountFrequency (%)
558
38.7%
1 159
 
11.0%
- 138
 
9.6%
2 110
 
7.6%
4 76
 
5.3%
3 75
 
5.2%
0 70
 
4.9%
5 64
 
4.4%
6 59
 
4.1%
8 50
 
3.5%
Other values (4) 83
 
5.8%
Latin
ValueCountFrequency (%)
B 3
60.0%
E 1
 
20.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2175
60.0%
ASCII 1447
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
558
38.6%
1 159
 
11.0%
- 138
 
9.5%
2 110
 
7.6%
4 76
 
5.3%
3 75
 
5.2%
0 70
 
4.8%
5 64
 
4.4%
6 59
 
4.1%
8 50
 
3.5%
Other values (7) 88
 
6.1%
Hangul
ValueCountFrequency (%)
부 188
 
8.6%
산 184
 
8.5%
동 175
 
8.0%
광 155
 
7.1%
시 154
 
7.1%
역 152
 
7.0%
구 148
 
6.8%
지 140
 
6.4%
번 139
 
6.4%
장 34
 
1.6%
Other values (132) 706
32.5%

도로명전체주소
Text

MISSING 

Distinct99
Distinct (%)94.3%
Missing47
Missing (%)30.9%
Memory size1.3 KiB
2024-04-16T19:36:16.086105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length27.752381
Min length20

Characters and Unicode

Total characters2914
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)88.6%

Sample

1st row부산광역시 해운대구 센텀동로 99, 벽산이센텀클래스원 912호 (재송동)
2nd row부산광역시 해운대구 반여로 21 (반여동)
3rd row부산광역시 해운대구 선수촌로207번가길 26 (반여동)
4th row부산광역시 해운대구 반여로 21 (반여동)
5th row부산광역시 기장군 기장읍 차성로190번길 97
ValueCountFrequency (%)
부산광역시 105
 
19.1%
금정구 23
 
4.2%
사상구 16
 
2.9%
남구 13
 
2.4%
부산진구 13
 
2.4%
기장군 8
 
1.5%
부곡동 8
 
1.5%
북구 7
 
1.3%
연제구 6
 
1.1%
구포동 6
 
1.1%
Other values (238) 346
62.8%
2024-04-16T19:36:16.446949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
 
17.3%
부 137
 
4.7%
산 133
 
4.6%
동 122
 
4.2%
시 111
 
3.8%
광 108
 
3.7%
구 107
 
3.7%
역 105
 
3.6%
로 103
 
3.5%
( 99
 
3.4%
Other values (157) 1384
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1736
59.6%
Space Separator 505
 
17.3%
Decimal Number 435
 
14.9%
Open Punctuation 99
 
3.4%
Close Punctuation 99
 
3.4%
Other Punctuation 26
 
0.9%
Dash Punctuation 10
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 137
 
7.9%
산 133
 
7.7%
동 122
 
7.0%
시 111
 
6.4%
광 108
 
6.2%
구 107
 
6.2%
역 105
 
6.0%
로 103
 
5.9%
길 43
 
2.5%
번 40
 
2.3%
Other values (139) 727
41.9%
Decimal Number
ValueCountFrequency (%)
1 95
21.8%
2 84
19.3%
3 46
10.6%
6 43
9.9%
0 39
9.0%
7 31
 
7.1%
4 27
 
6.2%
8 26
 
6.0%
9 23
 
5.3%
5 21
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
505
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1736
59.6%
Common 1174
40.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 137
 
7.9%
산 133
 
7.7%
동 122
 
7.0%
시 111
 
6.4%
광 108
 
6.2%
구 107
 
6.2%
역 105
 
6.0%
로 103
 
5.9%
길 43
 
2.5%
번 40
 
2.3%
Other values (139) 727
41.9%
Common
ValueCountFrequency (%)
505
43.0%
( 99
 
8.4%
) 99
 
8.4%
1 95
 
8.1%
2 84
 
7.2%
3 46
 
3.9%
6 43
 
3.7%
0 39
 
3.3%
7 31
 
2.6%
4 27
 
2.3%
Other values (5) 106
 
9.0%
Latin
ValueCountFrequency (%)
B 2
50.0%
E 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1736
59.6%
ASCII 1178
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
42.9%
( 99
 
8.4%
) 99
 
8.4%
1 95
 
8.1%
2 84
 
7.1%
3 46
 
3.9%
6 43
 
3.7%
0 39
 
3.3%
7 31
 
2.6%
4 27
 
2.3%
Other values (8) 110
 
9.3%
Hangul
ValueCountFrequency (%)
부 137
 
7.9%
산 133
 
7.7%
동 122
 
7.0%
시 111
 
6.4%
광 108
 
6.2%
구 107
 
6.2%
역 105
 
6.0%
로 103
 
5.9%
길 43
 
2.5%
번 40
 
2.3%
Other values (139) 727
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)77.3%
Missing108
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean369689.77
Minimum46033
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:16.578507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46033
5-th percentile46298.8
Q147580.75
median609543.5
Q3617202.75
95-th percentile619911.1
Maximum619952
Range573919
Interquartile range (IQR)569622

Descriptive statistics

Standard deviation284136.18
Coefficient of variation (CV)0.76858004
Kurtosis-2.0119913
Mean369689.77
Median Absolute Deviation (MAD)10365.5
Skewness-0.28468592
Sum16266350
Variance8.0733369 × 1010
MonotonicityNot monotonic
2024-04-16T19:36:16.688881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
617814 3
 
2.0%
609843 3
 
2.0%
619903 2
 
1.3%
619952 2
 
1.3%
46033 2
 
1.3%
47213 2
 
1.3%
48059 2
 
1.3%
617721 2
 
1.3%
48499 1
 
0.7%
607805 1
 
0.7%
Other values (24) 24
 
15.8%
(Missing) 108
71.1%
ValueCountFrequency (%)
46033 2
1.3%
46228 1
0.7%
46700 1
0.7%
47104 1
0.7%
47211 1
0.7%
47213 2
1.3%
47257 1
0.7%
47562 1
0.7%
47568 1
0.7%
47585 1
0.7%
ValueCountFrequency (%)
619952 2
1.3%
619912 1
 
0.7%
619906 1
 
0.7%
619903 2
1.3%
617814 3
2.0%
617721 2
1.3%
617030 1
 
0.7%
614868 1
 
0.7%
614839 1
 
0.7%
611814 1
 
0.7%

사업장명
Text

Distinct121
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-16T19:36:16.886641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.9605263
Min length4

Characters and Unicode

Total characters1210
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)63.8%

Sample

1st row비알테크놀로지(주)
2nd row(주)세일엔지니어링
3rd row일진환경
4th row연어환경
5th row(주)석정크린텍
ValueCountFrequency (%)
주식회사 9
 
5.5%
주)정원환경개발 3
 
1.8%
주)세일엔지니어링 3
 
1.8%
주)은경이엔지 3
 
1.8%
주)신라정화사 3
 
1.8%
녹수건설(주 3
 
1.8%
주)한신환경 3
 
1.8%
주)동해환경 3
 
1.8%
주)조은환경 2
 
1.2%
한국환경엔지니어링 2
 
1.2%
Other values (114) 129
79.1%
2024-04-16T19:36:17.188284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 122
 
10.1%
( 111
 
9.2%
) 111
 
9.2%
경 73
 
6.0%
환 68
 
5.6%
엔 43
 
3.6%
지 36
 
3.0%
이 26
 
2.1%
어 26
 
2.1%
니 26
 
2.1%
Other values (131) 568
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 970
80.2%
Open Punctuation 111
 
9.2%
Close Punctuation 111
 
9.2%
Space Separator 11
 
0.9%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 122
 
12.6%
경 73
 
7.5%
환 68
 
7.0%
엔 43
 
4.4%
지 36
 
3.7%
이 26
 
2.7%
어 26
 
2.7%
니 26
 
2.7%
링 25
 
2.6%
건 20
 
2.1%
Other values (122) 505
52.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
E 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 970
80.2%
Common 237
 
19.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 122
 
12.6%
경 73
 
7.5%
환 68
 
7.0%
엔 43
 
4.4%
지 36
 
3.7%
이 26
 
2.7%
어 26
 
2.7%
니 26
 
2.7%
링 25
 
2.6%
건 20
 
2.1%
Other values (122) 505
52.1%
Common
ValueCountFrequency (%)
( 111
46.8%
) 111
46.8%
11
 
4.6%
. 2
 
0.8%
2 1
 
0.4%
1 1
 
0.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 970
80.2%
ASCII 240
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 122
 
12.6%
경 73
 
7.5%
환 68
 
7.0%
엔 43
 
4.4%
지 36
 
3.7%
이 26
 
2.7%
어 26
 
2.7%
니 26
 
2.7%
링 25
 
2.6%
건 20
 
2.1%
Other values (122) 505
52.1%
ASCII
ValueCountFrequency (%)
( 111
46.2%
) 111
46.2%
11
 
4.6%
. 2
 
0.8%
C 1
 
0.4%
A 1
 
0.4%
2 1
 
0.4%
1 1
 
0.4%
E 1
 
0.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0103016 × 1013
Minimum2.0000712 × 1013
Maximum2.0210121 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:17.305813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000712 × 1013
5-th percentile2.0000906 × 1013
Q12.0041183 × 1013
median2.0105469 × 1013
Q32.0153057 × 1013
95-th percentile2.0200865 × 1013
Maximum2.0210121 × 1013
Range2.09409 × 1011
Interquartile range (IQR)1.1187399 × 1011

Descriptive statistics

Standard deviation6.376208 × 1010
Coefficient of variation (CV)0.0031717669
Kurtosis-1.1931808
Mean2.0103016 × 1013
Median Absolute Deviation (MAD)5.5297494 × 1010
Skewness-0.02532088
Sum3.0556584 × 1015
Variance4.0656029 × 1021
MonotonicityNot monotonic
2024-04-16T19:36:17.428732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200720141034 1
 
0.7%
20110216150550 1
 
0.7%
20160929143840 1
 
0.7%
20160929143904 1
 
0.7%
20190326112516 1
 
0.7%
20210120163625 1
 
0.7%
20001116090958 1
 
0.7%
20001114171828 1
 
0.7%
20120126153108 1
 
0.7%
20150105150243 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
20000712101531 1
0.7%
20000814154050 1
0.7%
20000823091303 1
0.7%
20000823093449 1
0.7%
20000830161356 1
0.7%
20000830171027 1
0.7%
20000831113727 1
0.7%
20000904103124 1
0.7%
20000908105135 1
0.7%
20000909114130 1
0.7%
ValueCountFrequency (%)
20210121104235 1
0.7%
20210120163625 1
0.7%
20201214105808 1
0.7%
20201214105722 1
0.7%
20201214105641 1
0.7%
20201208150714 1
0.7%
20201118093815 1
0.7%
20200928084726 1
0.7%
20200814112427 1
0.7%
20200723134815 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
133 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 133
87.5%
U 19
 
12.5%

Length

2024-04-16T19:36:17.811953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:17.907085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 133
87.5%
u 19
 
12.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct22
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2018-08-31 23:59:59.0
128 
2020-12-16 02:40:00.0
 
3
2018-10-20 02:38:00.0
 
2
2021-01-22 00:23:04.0
 
1
2019-09-01 02:40:00.0
 
1
Other values (17)
17 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)12.5%

Sample

1st row2020-07-22 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 128
84.2%
2020-12-16 02:40:00.0 3
 
2.0%
2018-10-20 02:38:00.0 2
 
1.3%
2021-01-22 00:23:04.0 1
 
0.7%
2019-09-01 02:40:00.0 1
 
0.7%
2019-10-16 00:22:51.0 1
 
0.7%
2020-07-22 00:23:16.0 1
 
0.7%
2020-07-25 00:23:15.0 1
 
0.7%
2019-04-10 02:40:00.0 1
 
0.7%
2020-06-06 02:40:00.0 1
 
0.7%
Other values (12) 12
 
7.9%

Length

2024-04-16T19:36:17.993118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 128
42.1%
23:59:59.0 128
42.1%
02:40:00.0 17
 
5.6%
2020-12-16 3
 
1.0%
2020-07-22 2
 
0.7%
2018-10-20 2
 
0.7%
02:38:00.0 2
 
0.7%
2020-09-30 1
 
0.3%
2019-08-16 1
 
0.3%
2019-10-03 1
 
0.3%
Other values (19) 19
 
6.2%

업태구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
118 
분뇨 처리업
 
9
하수처리, 폐기물처리 및 청소관련 서비스업
 
6
하수, 분뇨 및 축산폐기물 처리업
 
4
하수, 폐수 및 분뇨 처리업
 
3
Other values (7)
12 

Length

Max length23
Median length4
Mean length6.2894737
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row분뇨 처리업
3rd row<NA>
4th row<NA>
5th row하수처리, 폐기물처리 및 청소관련 서비스업

Common Values

ValueCountFrequency (%)
<NA> 118
77.6%
분뇨 처리업 9
 
5.9%
하수처리, 폐기물처리 및 청소관련 서비스업 6
 
3.9%
하수, 분뇨 및 축산폐기물 처리업 4
 
2.6%
하수, 폐수 및 분뇨 처리업 3
 
2.0%
분뇨 및 축산폐기물 처리업 2
 
1.3%
그외 기타 분류안된 모든 서비스업 2
 
1.3%
폐기물 처리 및 오염방지시설 건설업 2
 
1.3%
환경상담 및 관련 엔지니어링 서비스업 2
 
1.3%
하수 처리업 2
 
1.3%
Other values (2) 2
 
1.3%

Length

2024-04-16T19:36:18.094129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 118
47.6%
처리업 20
 
8.1%
및 19
 
7.7%
분뇨 18
 
7.3%
서비스업 11
 
4.4%
하수 9
 
3.6%
하수처리 6
 
2.4%
폐기물처리 6
 
2.4%
청소관련 6
 
2.4%
축산폐기물 6
 
2.4%
Other values (16) 29
 
11.7%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)92.4%
Missing20
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean387983.94
Minimum371768
Maximum405926.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:18.199405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371768
5-th percentile379255.51
Q1384031.75
median388532.94
Q3390624.26
95-th percentile401502.37
Maximum405926.8
Range34158.808
Interquartile range (IQR)6592.5076

Descriptive statistics

Standard deviation6010.3374
Coefficient of variation (CV)0.015491201
Kurtosis1.2138728
Mean387983.94
Median Absolute Deviation (MAD)3017.3762
Skewness0.46454496
Sum51213880
Variance36124155
MonotonicityNot monotonic
2024-04-16T19:36:18.314083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390144.111432534 2
 
1.3%
388825.788637512 2
 
1.3%
388423.564378881 2
 
1.3%
392177.054040305 2
 
1.3%
388532.936821714 2
 
1.3%
390624.256291267 2
 
1.3%
392951.242519577 2
 
1.3%
380482.767624189 2
 
1.3%
379554.826788136 2
 
1.3%
384136.095305462 2
 
1.3%
Other values (112) 112
73.7%
(Missing) 20
 
13.2%
ValueCountFrequency (%)
371767.995757446 1
0.7%
374396.116306859 1
0.7%
378045.177941748 1
0.7%
378592.907593612 1
0.7%
378735.89049941 1
0.7%
378824.101502951 1
0.7%
379122.254409162 1
0.7%
379364.542272391 1
0.7%
379554.826788136 2
1.3%
379688.803735537 1
0.7%
ValueCountFrequency (%)
405926.804044414 1
0.7%
405397.470560958 1
0.7%
403947.265423154 1
0.7%
403845.485106494 1
0.7%
403109.054674373 1
0.7%
402094.490620577 1
0.7%
401638.040844059 1
0.7%
401391.375537312 1
0.7%
393607.260373715 1
0.7%
393605.930358633 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)92.4%
Missing20
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean189238.1
Minimum176619.87
Maximum206746.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:36:18.421587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176619.87
5-th percentile180294.78
Q1184487.97
median188814.18
Q3192350.73
95-th percentile199381.81
Maximum206746.79
Range30126.916
Interquartile range (IQR)7862.7629

Descriptive statistics

Standard deviation6133.6349
Coefficient of variation (CV)0.032412263
Kurtosis0.0096664338
Mean189238.1
Median Absolute Deviation (MAD)4180.8626
Skewness0.41964154
Sum24979429
Variance37621477
MonotonicityNot monotonic
2024-04-16T19:36:18.524412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190453.524937101 2
 
1.3%
184487.967513063 2
 
1.3%
187785.194320347 2
 
1.3%
181177.438378822 2
 
1.3%
191774.030080915 2
 
1.3%
193959.335175462 2
 
1.3%
190453.463973418 2
 
1.3%
185582.274947583 2
 
1.3%
184301.128962735 2
 
1.3%
180300.476056401 2
 
1.3%
Other values (112) 112
73.7%
(Missing) 20
 
13.2%
ValueCountFrequency (%)
176619.874913911 1
0.7%
176725.707798423 1
0.7%
179085.546176133 1
0.7%
179817.73255814 1
0.7%
179959.257076341 1
0.7%
180133.289122155 1
0.7%
180287.829011373 1
0.7%
180300.476056401 2
1.3%
180660.89704286 1
0.7%
180812.733614603 1
0.7%
ValueCountFrequency (%)
206746.790462324 1
0.7%
206457.785803911 1
0.7%
203912.486795312 1
0.7%
203667.051343927 1
0.7%
199895.428934097 1
0.7%
199467.347062416 1
0.7%
199385.436227116 1
0.7%
199378.846451463 1
0.7%
199255.499468693 1
0.7%
198691.191617025 1
0.7%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
분뇨등관련영업관리
152 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등관련영업관리 152
100.0%

Length

2024-04-16T19:36:18.624817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:18.700932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등관련영업관리 152
100.0%

업종구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
118 
분뇨 처리업
 
9
하수처리, 폐기물처리 및 청소관련 서비스업
 
6
하수, 분뇨 및 축산폐기물 처리업
 
4
하수, 폐수 및 분뇨 처리업
 
3
Other values (7)
12 

Length

Max length23
Median length4
Mean length6.2894737
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row분뇨 처리업
3rd row<NA>
4th row<NA>
5th row하수처리, 폐기물처리 및 청소관련 서비스업

Common Values

ValueCountFrequency (%)
<NA> 118
77.6%
분뇨 처리업 9
 
5.9%
하수처리, 폐기물처리 및 청소관련 서비스업 6
 
3.9%
하수, 분뇨 및 축산폐기물 처리업 4
 
2.6%
하수, 폐수 및 분뇨 처리업 3
 
2.0%
분뇨 및 축산폐기물 처리업 2
 
1.3%
그외 기타 분류안된 모든 서비스업 2
 
1.3%
폐기물 처리 및 오염방지시설 건설업 2
 
1.3%
환경상담 및 관련 엔지니어링 서비스업 2
 
1.3%
하수 처리업 2
 
1.3%
Other values (2) 2
 
1.3%

Length

2024-04-16T19:36:18.793593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 118
47.6%
처리업 20
 
8.1%
및 19
 
7.7%
분뇨 18
 
7.3%
서비스업 11
 
4.4%
하수 9
 
3.6%
하수처리 6
 
2.4%
폐기물처리 6
 
2.4%
청소관련 6
 
2.4%
축산폐기물 6
 
2.4%
Other values (16) 29
 
11.7%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
01개인하수처리시설관리업(사업장)09_30_03_P333000033300005320190000120190218<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>051-743-0312<NA><NA>부산광역시 해운대구 재송동 1216 벽산이센텀클래스원부산광역시 해운대구 센텀동로 99, 벽산이센텀클래스원 912호 (재송동)48059비알테크놀로지(주)20200720141034U2020-07-22 02:40:00.0<NA>393607.260374188408.076688분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
12개인하수처리시설관리업(사업장)09_30_03_P333000033300005320060000120060213<NA>3폐업2폐업20070105<NA><NA><NA><NA><NA>612061부산광역시 해운대구 반여동 1355-19번지부산광역시 해운대구 반여로 21 (반여동)<NA>(주)세일엔지니어링20080214142058I2018-08-31 23:59:59.0분뇨 처리업392951.24252190453.463973분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA><NA>
23개인하수처리시설관리업(사업장)09_30_03_P333000033300005320020000220021220<NA>3폐업2폐업20150610<NA><NA><NA><NA><NA>612060부산광역시 해운대구 반여동 763-78번지부산광역시 해운대구 선수촌로207번가길 26 (반여동)<NA>일진환경20150611134755I2018-08-31 23:59:59.0<NA>393307.096759192155.976779분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
34개인하수처리시설관리업(사업장)09_30_03_P333000033300005320020000120020822<NA>3폐업2폐업20070810<NA><NA><NA>005107034884<NA>612070부산광역시 해운대구 석대동 558-1번지<NA><NA>연어환경20070810144942I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
45개인하수처리시설관리업(사업장)09_30_03_P333000033300005320010000320011211<NA>3폐업2폐업20070105<NA><NA><NA>005105213436<NA>612809부산광역시 해운대구 반여동 907-12번지<NA><NA>(주)석정크린텍20080214141908I2018-08-31 23:59:59.0하수처리, 폐기물처리 및 청소관련 서비스업393210.131082191807.720449분뇨등관련영업관리하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA><NA><NA><NA><NA><NA>
56개인하수처리시설관리업(사업장)09_30_03_P333000033300005320010000220011026<NA>3폐업2폐업20080114<NA><NA><NA><NA><NA>612815부산광역시 해운대구 반여동 1355-19번지부산광역시 해운대구 반여로 21 (반여동)<NA>(주)은경이엔지20080115094813I2018-08-31 23:59:59.0<NA>392951.24252190453.463973분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
67개인하수처리시설관리업(사업장)09_30_03_P333000033300005320000000120000814<NA>3폐업2폐업20141006<NA><NA><NA><NA><NA>612831부산광역시 해운대구 재송동 1086-9번지<NA><NA>(주)청솔환경20141006172337I2018-08-31 23:59:59.0<NA>393501.098326189587.667745분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
78개인하수처리시설관리업(사업장)09_30_03_P340000034000005320000000420000904<NA>3폐업2폐업20120917<NA><NA><NA>051-722-6660<NA>619903부산광역시 기장군 기장읍 대라리 170-5번지부산광역시 기장군 기장읍 차성로190번길 97619903(주)신라정화사20120917152555I2018-08-31 23:59:59.0<NA>401638.040844195299.187228분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
89개인하수처리시설관리업(사업장)09_30_03_P340000034000005320100000120100202<NA>3폐업2폐업20101231<NA><NA><NA>0513618360<NA>619912부산광역시 기장군 일광면 삼성리 72-1번지부산광역시 기장군 일광면 일광로 76619912대한원자력산업(주)20120917154209I2018-08-31 23:59:59.0<NA>403109.054674198268.135416분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
910개인하수처리시설관리업(사업장)09_30_03_P340000034000005320060000120060421<NA>3폐업2폐업20150414<NA><NA><NA>051 724 1277<NA>619906부산광역시 기장군 기장읍 청강리 164-11번지부산광역시 기장군 기장읍 청강로57번길 5619906(주)태광환경이엔지20150414133726I2018-08-31 23:59:59.0<NA>402094.490621195368.068622분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
142143개인하수처리시설관리업(사업장)09_30_03_P330000033000005320040000220040226<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>607836부산광역시 동래구 온천동 1440-10번지<NA><NA>(주)청호이.엔.지20090529140020I2018-08-31 23:59:59.0<NA>389125.250556191418.802363분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
143144개인하수처리시설관리업(사업장)09_30_03_P330000033000005320030001520030808<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>607823부산광역시 동래구 수안동 40-0002번지<NA><NA>한국종합환경산업(주)20030811104151I2018-08-31 23:59:59.0<NA>390144.111433190453.524937분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
144145개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000001320021108<NA>1영업/정상11영업<NA><NA><NA><NA>051 5051204<NA>607815부산광역시 동래구 사직동 79-1번지<NA><NA>ACE(에이스)환경산업20030813093033I2018-08-31 23:59:59.0<NA>387347.391825190575.737463분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
145146개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000001220020524<NA>1영업/정상11영업<NA><NA><NA><NA>051 5218101<NA>607811부산광역시 동래구 명장동 321-66번지<NA><NA>녹수건설(주)20040402100115I2018-08-31 23:59:59.0<NA>391459.826673191841.673335분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
146147개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000001020001227<NA>1영업/정상11영업<NA><NA><NA><NA>051 5569362<NA>607063부산광역시 동래구 온천동 1367-8 번지<NA><NA>더난환경20040716113748I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
147148개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000000920000814<NA>1영업/정상11영업<NA><NA><NA><NA>051 5312268<NA>607830부산광역시 동래구 안락동 448-6 번지<NA><NA>세계건설(주)20030812103830I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
148149개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000000520000810<NA>1영업/정상11영업20050804<NA><NA><NA>051 5573421<NA>607837부산광역시 동래구 온천동 1129-4번지<NA><NA>동아엔바이로(주)20040112173139I2018-08-31 23:59:59.0<NA>388100.30129192130.913902분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
149150개인하수처리시설관리업(사업장)09_30_03_P330000033000005320000000320000714<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>607011부산광역시 동래구 명륜동 676-101 번지<NA><NA>대진환경개발(주)20030722113953I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
150151개인하수처리시설관리업(사업장)09_30_03_P340000034000005320010000120011208<NA>1영업/정상3재개업<NA>202012232021010420210104051-727-2751<NA><NA>부산광역시 기장군 장안읍 좌천리 520부산광역시 기장군 장안읍 좌천로 4046033동부환경20210121104235U2021-01-23 02:40:00.0<NA>403947.265423203667.051344분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
151152개인하수처리시설관리업(사업장)09_30_03_P327000032700005320090000120090909<NA>1영업/정상3재개업<NA><NA>2016022320160223051-515-2842<NA>601830부산광역시 동구 초량동 1056-36 예그린아파트 B101부산광역시 동구 초량상로 34 (초량동,예그린아파트 B101)<NA>(주)미래티이씨20201208150714U2020-12-10 02:40:00.0<NA>385591.248001181425.423839분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>