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

Description2021-05-01
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 10:35:52.864665
Analysis finished2024-04-16 10:35:53.486868
Duration0.62 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
2024-04-16T19:35:53.542920image/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
2024-04-16T19:35:53.669985image/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

2024-04-16T19:35:53.782617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:53.854918image/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

2024-04-16T19:35:53.941155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:54.017095image/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
2024-04-16T19:35:54.087454image/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
2024-04-16T19:35:54.190462image/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
2024-04-16T19:35:54.314704image/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
2024-04-16T19:35:54.442598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340000053201700001 1
 
0.7%
335000053201100001 1
 
0.7%
335000053201000001 1
 
0.7%
335000053200500006 1
 
0.7%
335000053000000010 1
 
0.7%
335000053000000007 1
 
0.7%
335000053000000004 1
 
0.7%
335000053000000003 1
 
0.7%
335000053201400001 1
 
0.7%
335000053000000023 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
2024-04-16T19:35:54.564921image/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
2024-04-16T19:35:54.697563image/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%
20000303 2
 
1.3%
20130522 2
 
1.3%
20030808 2
 
1.3%
20100713 2
 
1.3%
20110317 2
 
1.3%
20011211 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 row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

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

Length

2024-04-16T19:35:54.817097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:54.921539image/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 row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

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

2024-04-16T19:35:55.020964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:55.116466image/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 row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

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

Length

2024-04-16T19:35:55.222399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:55.321865image/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 row영업
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

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

Length

2024-04-16T19:35:55.416467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:55.504006image/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
2024-04-16T19:35:55.606738image/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
2024-04-16T19:35:55.731128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141006 3
 
2.0%
20130207 3
 
2.0%
20070105 2
 
1.3%
20181018 2
 
1.3%
20080617 2
 
1.3%
20150610 1
 
0.7%
20040914 1
 
0.7%
20040401 1
 
0.7%
20030414 1
 
0.7%
20040329 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 
20201223
 
1
20071231
 
1
20130207
 
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%
20201223 1
 
0.7%
20071231 1
 
0.7%
20130207 1
 
0.7%

Length

2024-04-16T19:35:55.871626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:55.966496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
98.0%
20201223 1
 
0.7%
20071231 1
 
0.7%
20130207 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

2024-04-16T19:35:56.096897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:56.214721image/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

2024-04-16T19:35:56.334729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:56.438337image/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
2024-04-16T19:35:56.646773image/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 row0517273932
2nd row051-721-8161
3rd row051-506-1632
4th row005107285600
5th row051-722-6660
ValueCountFrequency (%)
051 35
 
25.0%
0512478115 2
 
1.4%
817 2
 
1.4%
051-722-6660 2
 
1.4%
2478115 2
 
1.4%
4414465 1
 
0.7%
757 1
 
0.7%
3429020 1
 
0.7%
005105213436 1
 
0.7%
005107034884 1
 
0.7%
Other values (92) 92
65.7%
2024-04-16T19:35:56.958272image/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
2024-04-16T19:35:57.083793image/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
2024-04-16T19:35:57.203039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609811 3
 
2.0%
619903 3
 
2.0%
609320 3
 
2.0%
607823 2
 
1.3%
609350 2
 
1.3%
616803 2
 
1.3%
608766 2
 
1.3%
608023 2
 
1.3%
607837 2
 
1.3%
609340 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
2024-04-16T19:35:57.470582image/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 기장군 장안읍 좌천리 286-1번지
2nd row부산광역시 기장군 장안읍 반룡리 831-3번지
3rd row부산광역시 기장군 장안읍 반룡리 850 장안일반산업단지 506동 1632호
4th row부산광역시 기장군 기장읍 교리 331-1 번지
5th row부산광역시 기장군 정관읍 매학리 475-2 번지
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%
연제구 9
 
1.3%
Other values (263) 407
58.8%
2024-04-16T19:35:57.845633image/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%
C 1
 
20.0%
E 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%
C 1
 
20.0%
E 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
2024-04-16T19:35:58.101985image/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 기장군 장안읍 좌천2길 36 (좌천슈퍼)
2nd row부산광역시 기장군 장안읍 장안산단1로 92
3rd row부산광역시 기장군 장안읍 장안산단1로 11
4th row부산광역시 기장군 기장읍 차성로 265
5th row부산광역시 사상구 삼덕로45번길 75 (덕포동)
ValueCountFrequency (%)
부산광역시 105
 
19.1%
금정구 23
 
4.2%
사상구 16
 
2.9%
부산진구 13
 
2.4%
남구 13
 
2.4%
기장군 8
 
1.5%
부곡동 8
 
1.5%
북구 7
 
1.3%
해운대구 6
 
1.1%
연제구 6
 
1.1%
Other values (238) 346
62.8%
2024-04-16T19:35:58.472526image/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%
Close Punctuation 99
 
3.4%
Open 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%
C 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open 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%
C 1
25.0%
E 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
2024-04-16T19:35:58.575234image/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
2024-04-16T19:35:58.666811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
609843 3
 
2.0%
617814 3
 
2.0%
47213 2
 
1.3%
619952 2
 
1.3%
46033 2
 
1.3%
48059 2
 
1.3%
619903 2
 
1.3%
617721 2
 
1.3%
48522 1
 
0.7%
614839 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
2024-04-16T19:35:59.085013image/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 row비제이엔지니어링
2nd row(주)태진엔지니어링
3rd row그린컨기술(주)
4th row(주)대진환경개발
5th row한독환경산업 주식회사
ValueCountFrequency (%)
주식회사 9
 
5.5%
주)세일엔지니어링 3
 
1.8%
주)정원환경개발 3
 
1.8%
주)한신환경 3
 
1.8%
주)신라정화사 3
 
1.8%
주)동해환경 3
 
1.8%
주)은경이엔지 3
 
1.8%
녹수건설(주 3
 
1.8%
한국환경엔지니어링 2
 
1.2%
동산환경엔지니어링(주 2
 
1.2%
Other values (114) 129
79.1%
2024-04-16T19:35:59.399511image/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%
니 26
 
2.1%
어 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%
니 26
 
2.7%
어 26
 
2.7%
링 25
 
2.6%
건 20
 
2.1%
Other values (122) 505
52.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
E 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 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%
니 26
 
2.7%
어 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%
1 1
 
0.4%
2 1
 
0.4%
Latin
ValueCountFrequency (%)
A 1
33.3%
C 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%
니 26
 
2.7%
어 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%
1 1
 
0.4%
2 1
 
0.4%
A 1
 
0.4%
C 1
 
0.4%
E 1
 
0.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0103139 × 1013
Minimum2.0000712 × 1013
Maximum2.0210315 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-16T19:35:59.518672image/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 percentile2.0200991 × 1013
Maximum2.0210315 × 1013
Range2.0960305 × 1011
Interquartile range (IQR)1.1187399 × 1011

Descriptive statistics

Standard deviation6.3961837 × 1010
Coefficient of variation (CV)0.003181684
Kurtosis-1.1827503
Mean2.0103139 × 1013
Median Absolute Deviation (MAD)5.5297494 × 1010
Skewness-0.015713256
Sum3.0556772 × 1015
Variance4.0911166 × 1021
MonotonicityNot monotonic
2024-04-16T19:35:59.631063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190408095902 1
 
0.7%
20120409170411 1
 
0.7%
20130103110030 1
 
0.7%
20141006175447 1
 
0.7%
20071031134224 1
 
0.7%
20071031133918 1
 
0.7%
20090525095534 1
 
0.7%
20071031141829 1
 
0.7%
20140515164026 1
 
0.7%
20071101091533 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 (%)
20210315152647 1
0.7%
20210311135209 1
0.7%
20210309194126 1
0.7%
20210120163625 1
0.7%
20201214105808 1
0.7%
20201214105722 1
0.7%
20201214105641 1
0.7%
20201208150714 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 rowU
3rd rowU
4th rowI
5th rowI

Common Values

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

Length

2024-04-16T19:35:59.732186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:35:59.809518image/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
2020-06-06 02:40:00.0
 
1
2021-03-13 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 row2019-04-10 02:40:00.0
2nd row2020-06-06 02:40:00.0
3rd row2021-03-13 02:40:00.0
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%
2020-06-06 02:40:00.0 1
 
0.7%
2021-03-13 02:40:00.0 1
 
0.7%
2020-08-16 02:40:00.0 1
 
0.7%
2021-03-17 02:40:00.0 1
 
0.7%
2018-12-20 02:40:00.0 1
 
0.7%
2018-12-21 02:40:00.0 1
 
0.7%
2019-07-21 02:40:00.0 1
 
0.7%
Other values (12) 12
 
7.9%

Length

2024-04-16T19:35:59.901771image/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%
2018-10-20 2
 
0.7%
02:38:00.0 2
 
0.7%
2020-07-22 2
 
0.7%
2020-12-10 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 row<NA>
3rd row<NA>
4th row<NA>
5th row폐기물 처리 및 오염방지시설 건설업

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%
폐기물 처리 및 오염방지시설 건설업 2
 
1.3%
분뇨 및 축산폐기물 처리업 2
 
1.3%
하수 처리업 2
 
1.3%
환경상담 및 관련 엔지니어링 서비스업 2
 
1.3%
그외 기타 분류안된 모든 서비스업 2
 
1.3%
Other values (2) 2
 
1.3%

Length

2024-04-16T19:36:00.031095image/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
2024-04-16T19:36:00.138067image/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
2024-04-16T19:36:00.259811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 2
 
1.3%
388532.936821714 2
 
1.3%
390144.111432534 2
 
1.3%
388423.564378881 2
 
1.3%
388825.788637512 2
 
1.3%
392177.054040305 2
 
1.3%
390624.256291267 2
 
1.3%
379554.826788136 2
 
1.3%
384136.095305462 2
 
1.3%
392951.242519577 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
2024-04-16T19:36:00.368253image/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
2024-04-16T19:36:00.479928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 2
 
1.3%
191774.030080915 2
 
1.3%
190453.524937101 2
 
1.3%
187785.194320347 2
 
1.3%
184487.967513063 2
 
1.3%
181177.438378822 2
 
1.3%
193959.335175462 2
 
1.3%
184301.128962735 2
 
1.3%
180300.476056401 2
 
1.3%
190453.463973418 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

2024-04-16T19:36:00.584166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:36:00.661006image/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 row<NA>
3rd row<NA>
4th row<NA>
5th row폐기물 처리 및 오염방지시설 건설업

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%
폐기물 처리 및 오염방지시설 건설업 2
 
1.3%
분뇨 및 축산폐기물 처리업 2
 
1.3%
하수 처리업 2
 
1.3%
환경상담 및 관련 엔지니어링 서비스업 2
 
1.3%
그외 기타 분류안된 모든 서비스업 2
 
1.3%
Other values (2) 2
 
1.3%

Length

2024-04-16T19:36:00.748394image/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_P340000034000005320170000120170328<NA>1영업/정상11영업<NA><NA><NA><NA>0517273932<NA><NA>부산광역시 기장군 장안읍 좌천리 286-1번지부산광역시 기장군 장안읍 좌천2길 36 (좌천슈퍼)46033비제이엔지니어링20190408095902U2019-04-10 02:40:00.0<NA>403845.485106203912.486795분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
12개인하수처리시설관리업(사업장)09_30_03_P340000034000005320140000120141010<NA>1영업/정상11영업<NA><NA><NA><NA>051-721-8161<NA>619952부산광역시 기장군 장안읍 반룡리 831-3번지부산광역시 기장군 장안읍 장안산단1로 92619952(주)태진엔지니어링20200604162752U2020-06-06 02:40:00.0<NA>405926.804044206457.785804분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
23개인하수처리시설관리업(사업장)09_30_03_P340000034000005320100000220101028<NA>1영업/정상11영업<NA><NA><NA><NA>051-506-1632<NA>619952부산광역시 기장군 장안읍 반룡리 850 장안일반산업단지 506동 1632호부산광역시 기장군 장안읍 장안산단1로 11619952그린컨기술(주)20210311135209U2021-03-13 02:40:00.0<NA>405397.470561206746.790462분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
34개인하수처리시설관리업(사업장)09_30_03_P340000034000005320040000220041108<NA>1영업/정상11영업20060104<NA><NA><NA><NA><NA>619901부산광역시 기장군 기장읍 교리 331-1 번지<NA><NA>(주)대진환경개발20041108151820I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
45개인하수처리시설관리업(사업장)09_30_03_P340000034000005320040000120040108<NA>1영업/정상11영업20060630<NA><NA><NA>005107285600<NA>619963부산광역시 기장군 정관읍 매학리 475-2 번지<NA><NA>한독환경산업 주식회사20040108133348I2018-08-31 23:59:59.0폐기물 처리 및 오염방지시설 건설업<NA><NA>분뇨등관련영업관리폐기물 처리 및 오염방지시설 건설업<NA><NA><NA><NA><NA><NA><NA>
56개인하수처리시설관리업(사업장)09_30_03_P340000034000005320000000320000904<NA>1영업/정상11영업<NA><NA><NA><NA>051-722-6660<NA>619903부산광역시 기장군 기장읍 대라리 406-3번지부산광역시 기장군 기장읍 차성로 265619903(주)신라정화사20180516160816I2018-08-31 23:59:59.0<NA>401391.375537195774.675382분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
67개인하수처리시설관리업(사업장)09_30_03_P340000034000005320000000220000818<NA>1영업/정상11영업20031010<NA><NA><NA><NA><NA>619900부산광역시 기장군 기장읍 동부리 284-4번지<NA><NA>동남엔바이로20000830171027I2018-08-31 23:59:59.0하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA>분뇨등관련영업관리하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA><NA><NA><NA><NA><NA>
78개인하수처리시설관리업(사업장)09_30_03_P340000034000005320000000120000808<NA>1영업/정상11영업20040527<NA><NA><NA>051 7221219<NA>619900부산광역시 기장군 기장읍 동부리 113-3번지<NA><NA>(주)부화엔지니어링20000831113727I2018-08-31 23:59:59.0하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA>분뇨등관련영업관리하수처리, 폐기물처리 및 청소관련 서비스업<NA><NA><NA><NA><NA><NA><NA>
89개인하수처리시설관리업(사업장)09_30_03_P339000033900005320040000320040921<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>617040부산광역시 사상구 덕포동 373-8 3층부산광역시 사상구 삼덕로45번길 75 (덕포동)617814(주)호정엔지니어링20200814112427U2020-08-16 02:40:00.0<NA>380484.854218188288.059372분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
910개인하수처리시설관리업(사업장)09_30_03_P339000033900005320000000420000810<NA>1영업/정상11영업20020930<NA><NA><NA>051 3100252<NA>617051부산광역시 사상구 감전동 502-1번지 마트월드B동126호부산광역시 사상구 낙동대로 910 (감전동,마트월드B동126호)<NA>(주)조은환경20010212175606I2018-08-31 23:59:59.0분뇨 처리업379554.826788184301.128963분뇨등관련영업관리분뇨 처리업<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
142143개인하수처리시설관리업(사업장)09_30_03_P329000032900005320000000220000725<NA>3폐업2폐업20120117<NA><NA><NA>051 804 9061<NA>614093부산광역시 부산진구 부암동 444번지부산광역시 부산진구 백양순환로119번길 3 (부암동)614839(주)금목환경20121203081308I2018-08-31 23:59:59.0<NA>385801.434013187562.532405분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
143144개인하수처리시설관리업(사업장)09_30_03_P329000032900005320110000220110317<NA>3폐업2폐업20181018<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 394-3번지부산광역시 부산진구 거제대로36번길 26 (양정동)47213(주)원봉20181018142057U2018-10-20 02:38:00.0<NA>388423.564379187785.19432분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
144145개인하수처리시설관리업(사업장)09_30_03_P327000032700005320100000120101116<NA>3폐업2폐업20161206<NA><NA><NA>4610055<NA>601839부산광역시 동구 초량동 1212-9번지<NA><NA>케이비유니온개발(주)20161206124618I2018-08-31 23:59:59.0부동산 관리업385842.289101181119.770398분뇨등관련영업관리부동산 관리업<NA><NA><NA><NA><NA><NA><NA>
145146개인하수처리시설관리업(사업장)09_30_03_P327000032700005320020000120020627<NA>3폐업2폐업20160706<NA><NA><NA>6431101<NA>601807부산광역시 동구 범일동 830-42번지<NA><NA>협성개발(주)20160706160121I2018-08-31 23:59:59.0<NA>387727.932157184254.180459분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
146147개인하수처리시설관리업(사업장)09_30_03_P327000032700005320000000120000807<NA>3폐업2폐업20041231<NA><NA><NA>051 4414465<NA>601011부산광역시 동구 초량동 1213-14번지 프라자호텔 802호<NA><NA>(주)강토건설20081015172856I2018-08-31 23:59:59.0폐기물 처리 및 오염방지시설 건설업385891.853876181102.7408분뇨등관련영업관리폐기물 처리 및 오염방지시설 건설업<NA><NA><NA><NA><NA><NA><NA>
147148개인하수처리시설관리업(사업장)09_30_03_P326000032600005320040000220040602<NA>3폐업2폐업20080617<NA><NA><NA>051 2478115<NA>602815부산광역시 서구 부민동1가 4-3번지부산광역시 서구 구덕로 228 (부민동1가)<NA>녹수건설(주)20150331161138I2018-08-31 23:59:59.0<NA>384136.095305180300.476056분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
148149개인하수처리시설관리업(사업장)09_30_03_P326000032600005320040000120040602<NA>3폐업2폐업20080617<NA><NA><NA>051 2478115<NA>602070부산광역시 서구 부민동1가 4-3번지부산광역시 서구 구덕로 228 (부민동1가)<NA>(주)녹수건설20150331161013I2018-08-31 23:59:59.0<NA>384136.095305180300.476056분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
149150개인하수처리시설관리업(사업장)09_30_03_P326000032600005320041778420041227<NA>3폐업2폐업20111230<NA><NA><NA>0512422370<NA>602808부산광역시 서구 동대신동1가 326번지부산광역시 서구 대영로86번길 73 (동대신동1가)<NA>(주)정원환경개발20191014175910I2019-10-16 00:22:51.0<NA>384307.975743180660.897043분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>
150151개인하수처리시설관리업(사업장)09_30_03_P325000032500005320080000120080522<NA>3폐업2폐업20100721<NA><NA><NA>0512478115<NA>600074부산광역시 중구 부평동4가 16-1번지<NA><NA>(주)녹수건설20100721102513I2018-08-31 23:59:59.0환경상담 및 관련 엔지니어링 서비스업384366.676789179959.257076분뇨등관련영업관리환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA><NA><NA><NA><NA>
151152개인하수처리시설관리업(사업장)09_30_03_P331000033100005320000000120000107<NA>2휴업1휴업<NA>20130207<NA><NA><NA><NA>608040부산광역시 남구 문현동 127-51번지부산광역시 남구 문현로23번길 10 (문현동)<NA>(주)동해환경20130207092320I2018-08-31 23:59:59.0<NA>388825.788638184487.967513분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA><NA>