Overview

Dataset statistics

Number of variables37
Number of observations5710
Missing cells56640
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory318.0 B

Variable types

Numeric14
Categorical11
Unsupported4
Text7
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123156

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
환경업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.8%)Imbalance
휴업종료일자 is highly imbalanced (99.8%)Imbalance
인허가일자 has 66 (1.2%) missing valuesMissing
인허가취소일자 has 5710 (100.0%) missing valuesMissing
폐업일자 has 3474 (60.8%) missing valuesMissing
재개업일자 has 5710 (100.0%) missing valuesMissing
소재지전화 has 1208 (21.2%) missing valuesMissing
소재지면적 has 5710 (100.0%) missing valuesMissing
소재지우편번호 has 4745 (83.1%) missing valuesMissing
소재지전체주소 has 170 (3.0%) missing valuesMissing
도로명전체주소 has 1483 (26.0%) missing valuesMissing
도로명우편번호 has 2893 (50.7%) missing valuesMissing
업태구분명 has 3193 (55.9%) missing valuesMissing
좌표정보(x) has 1344 (23.5%) missing valuesMissing
좌표정보(y) has 1344 (23.5%) missing valuesMissing
업종구분명 has 2660 (46.6%) missing valuesMissing
주생산품명 has 4889 (85.6%) missing valuesMissing
배출시설조업시간 has 862 (15.1%) missing valuesMissing
배출시설연간가동일수 has 1282 (22.5%) missing valuesMissing
방지시설조업시간 has 2215 (38.8%) missing valuesMissing
방지시설연간가동일수 has 1972 (34.5%) missing valuesMissing
Unnamed: 36 has 5710 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -43.41603025)Skewed
배출시설조업시간 is highly skewed (γ1 = 20.95484076)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 1062 (18.6%) zerosZeros
배출시설연간가동일수 has 1036 (18.1%) zerosZeros
방지시설조업시간 has 1116 (19.5%) zerosZeros
방지시설연간가동일수 has 1118 (19.6%) zerosZeros

Reproduction

Analysis started2024-04-17 05:01:28.729122
Analysis finished2024-04-17 05:01:30.306301
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5710
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2855.5
Minimum1
Maximum5710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:30.360098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile286.45
Q11428.25
median2855.5
Q34282.75
95-th percentile5424.55
Maximum5710
Range5709
Interquartile range (IQR)2854.5

Descriptive statistics

Standard deviation1648.4793
Coefficient of variation (CV)0.57729972
Kurtosis-1.2
Mean2855.5
Median Absolute Deviation (MAD)1427.5
Skewness0
Sum16304905
Variance2717484.2
MonotonicityStrictly increasing
2024-04-17T14:01:30.707968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3794 1
 
< 0.1%
3814 1
 
< 0.1%
3813 1
 
< 0.1%
3812 1
 
< 0.1%
3811 1
 
< 0.1%
3810 1
 
< 0.1%
3809 1
 
< 0.1%
3808 1
 
< 0.1%
3807 1
 
< 0.1%
Other values (5700) 5700
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5710 1
< 0.1%
5709 1
< 0.1%
5708 1
< 0.1%
5707 1
< 0.1%
5706 1
< 0.1%
5705 1
< 0.1%
5704 1
< 0.1%
5703 1
< 0.1%
5702 1
< 0.1%
5701 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
대기오염물질배출시설설치사업장
5710 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5710
100.0%

Length

2024-04-17T14:01:30.808310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:30.881971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5710
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
09_30_08_P
5710 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_08_P
2nd row09_30_08_P
3rd row09_30_08_P
4th row09_30_08_P
5th row09_30_08_P

Common Values

ValueCountFrequency (%)
09_30_08_P 5710
100.0%

Length

2024-04-17T14:01:30.966686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:31.067030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5710
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3976770.6
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:31.146267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3290000
Q13340000
median3390000
Q33400000
95-th percentile6260000
Maximum6260000
Range3010000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation1185108.1
Coefficient of variation (CV)0.29800766
Kurtosis-0.017763446
Mean3976770.6
Median Absolute Deviation (MAD)40000
Skewness1.4063519
Sum2.270736 × 1010
Variance1.4044812 × 1012
MonotonicityNot monotonic
2024-04-17T14:01:31.252813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3390000 1932
33.8%
6260000 1211
21.2%
3340000 831
14.6%
3360000 338
 
5.9%
3400000 323
 
5.7%
3350000 234
 
4.1%
3330000 182
 
3.2%
3280000 118
 
2.1%
3290000 91
 
1.6%
3370000 79
 
1.4%
Other values (7) 371
 
6.5%
ValueCountFrequency (%)
3250000 34
 
0.6%
3260000 42
 
0.7%
3270000 58
 
1.0%
3280000 118
 
2.1%
3290000 91
 
1.6%
3300000 60
 
1.1%
3310000 74
 
1.3%
3320000 53
 
0.9%
3330000 182
 
3.2%
3340000 831
14.6%
ValueCountFrequency (%)
6260000 1211
21.2%
3400000 323
 
5.7%
3390000 1932
33.8%
3380000 50
 
0.9%
3370000 79
 
1.4%
3360000 338
 
5.9%
3350000 234
 
4.1%
3340000 831
14.6%
3330000 182
 
3.2%
3320000 53
 
0.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5710
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9767707 × 1017
Minimum3.2500002 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:31.357991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500002 × 1017
5-th percentile3.2900002 × 1017
Q13.3400002 × 1017
median3.3900002 × 1017
Q33.4000002 × 1017
95-th percentile6.26 × 1017
Maximum6.26 × 1017
Range3.0099998 × 1017
Interquartile range (IQR)6 × 1015

Descriptive statistics

Standard deviation1.185108 × 1017
Coefficient of variation (CV)0.29800763
Kurtosis-0.017763446
Mean3.9767707 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness1.4063519
Sum1.7865758 × 1018
Variance1.404481 × 1034
MonotonicityNot monotonic
2024-04-17T14:01:31.468059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000021202000001 1
 
< 0.1%
334000021198025025 1
 
< 0.1%
334000021200024297 1
 
< 0.1%
334000021200023118 1
 
< 0.1%
334000021200023117 1
 
< 0.1%
334000021200023116 1
 
< 0.1%
334000021199815380 1
 
< 0.1%
334000021200125477 1
 
< 0.1%
334000021200125166 1
 
< 0.1%
334000021200124310 1
 
< 0.1%
Other values (5700) 5700
99.8%
ValueCountFrequency (%)
325000021200000001 1
< 0.1%
325000021200100001 1
< 0.1%
325000021200100002 1
< 0.1%
325000021200100003 1
< 0.1%
325000021200100004 1
< 0.1%
325000021200100005 1
< 0.1%
325000021200100006 1
< 0.1%
325000021200100007 1
< 0.1%
325000021200100008 1
< 0.1%
325000021200400001 1
< 0.1%
ValueCountFrequency (%)
626000001200700105 1
< 0.1%
626000001200700104 1
< 0.1%
626000001200700103 1
< 0.1%
626000001200700102 1
< 0.1%
626000001200700101 1
< 0.1%
626000001200700100 1
< 0.1%
626000001200700099 1
< 0.1%
626000001200700098 1
< 0.1%
626000001200700097 1
< 0.1%
626000001200700096 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3298
Distinct (%)58.4%
Missing66
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean20029967
Minimum198706
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:31.591406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198706
5-th percentile19910506
Q120000329
median20040526
Q320090507
95-th percentile20171121
Maximum20210224
Range20011518
Interquartile range (IQR)90178

Descriptive statistics

Standard deviation391926.45
Coefficient of variation (CV)0.019567004
Kurtosis2038.2478
Mean20029967
Median Absolute Deviation (MAD)40577
Skewness-43.41603
Sum1.1304913 × 1011
Variance1.5360634 × 1011
MonotonicityNot monotonic
2024-04-17T14:01:31.715724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000428 48
 
0.8%
20000328 26
 
0.5%
20081103 22
 
0.4%
20080922 21
 
0.4%
20151228 20
 
0.4%
20040701 19
 
0.3%
20081031 19
 
0.3%
20080714 17
 
0.3%
20000323 16
 
0.3%
20080925 14
 
0.2%
Other values (3288) 5422
95.0%
(Missing) 66
 
1.2%
ValueCountFrequency (%)
198706 1
< 0.1%
1995119 1
< 0.1%
9781226 1
< 0.1%
18831118 1
< 0.1%
19720129 1
< 0.1%
19720323 1
< 0.1%
19720324 2
< 0.1%
19720410 1
< 0.1%
19720603 1
< 0.1%
19720623 2
< 0.1%
ValueCountFrequency (%)
20210224 2
< 0.1%
20210222 1
< 0.1%
20210201 2
< 0.1%
20210128 1
< 0.1%
20210125 1
< 0.1%
20210115 1
< 0.1%
20210111 2
< 0.1%
20210108 1
< 0.1%
20210106 2
< 0.1%
20210105 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5710
Missing (%)100.0%
Memory size50.3 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
1
3178 
3
1842 
4
689 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3178
55.7%
3 1842
32.3%
4 689
 
12.1%
2 1
 
< 0.1%

Length

2024-04-17T14:01:31.828193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:31.913290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3178
55.7%
3 1842
32.3%
4 689
 
12.1%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
영업/정상
3178 
폐업
1842 
취소/말소/만료/정지/중지
689 
휴업
 
1

Length

Max length14
Median length5
Mean length5.1176883
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 3178
55.7%
폐업 1842
32.3%
취소/말소/만료/정지/중지 689
 
12.1%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:32.009748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:32.096489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3178
55.7%
폐업 1842
32.3%
취소/말소/만료/정지/중지 689
 
12.1%
휴업 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
11
2024 
2
1842 
1
1155 
4
689 

Length

Max length2
Median length1
Mean length1.3544658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 2024
35.4%
2 1842
32.3%
1 1155
20.2%
4 689
 
12.1%

Length

2024-04-17T14:01:32.192230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:32.281108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2024
35.4%
2 1842
32.3%
1 1155
20.2%
4 689
 
12.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
영업
3178 
폐업
1842 
폐쇄
689 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 3178
55.7%
폐업 1842
32.3%
폐쇄 689
 
12.1%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:32.384561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:32.468564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3178
55.7%
폐업 1842
32.3%
폐쇄 689
 
12.1%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1373
Distinct (%)61.4%
Missing3474
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean20096123
Minimum19910424
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:32.570223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910424
5-th percentile20020216
Q120050884
median20091231
Q320140127
95-th percentile20191226
Maximum20210226
Range299802
Interquartile range (IQR)89243

Descriptive statistics

Standard deviation54501.494
Coefficient of variation (CV)0.0027120402
Kurtosis-0.58383115
Mean20096123
Median Absolute Deviation (MAD)40511.5
Skewness0.24590318
Sum4.4934932 × 1010
Variance2.9704129 × 109
MonotonicityNot monotonic
2024-04-17T14:01:32.690330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091231 310
 
5.4%
20121231 22
 
0.4%
20090325 14
 
0.2%
20160426 10
 
0.2%
20040317 10
 
0.2%
20091001 9
 
0.2%
20140415 7
 
0.1%
20040630 6
 
0.1%
20130201 6
 
0.1%
20040610 6
 
0.1%
Other values (1363) 1836
32.2%
(Missing) 3474
60.8%
ValueCountFrequency (%)
19910424 1
< 0.1%
19910523 1
< 0.1%
19911105 1
< 0.1%
19911209 1
< 0.1%
19930319 1
< 0.1%
19980416 1
< 0.1%
19980516 1
< 0.1%
19980715 1
< 0.1%
19981118 1
< 0.1%
19990101 1
< 0.1%
ValueCountFrequency (%)
20210226 1
 
< 0.1%
20210222 3
0.1%
20210209 1
 
< 0.1%
20210205 1
 
< 0.1%
20210127 1
 
< 0.1%
20210126 2
< 0.1%
20210122 1
 
< 0.1%
20210118 1
 
< 0.1%
20210114 1
 
< 0.1%
20210113 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
<NA>
5709 
20200101
 
1

Length

Max length8
Median length4
Mean length4.0007005
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5709
> 99.9%
20200101 1
 
< 0.1%

Length

2024-04-17T14:01:32.808019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:32.894611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5709
> 99.9%
20200101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
<NA>
5709 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0007005
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5709
> 99.9%
20201231 1
 
< 0.1%

Length

2024-04-17T14:01:32.983645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:33.076664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5709
> 99.9%
20201231 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5710
Missing (%)100.0%
Memory size50.3 KiB

소재지전화
Text

MISSING 

Distinct4054
Distinct (%)90.0%
Missing1208
Missing (%)21.2%
Memory size44.7 KiB
2024-04-17T14:01:33.253619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.493781
Min length3

Characters and Unicode

Total characters47243
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3653 ?
Unique (%)81.1%

Sample

1st row051-441-2340
2nd row442-4521
3rd row462-8281
4th row465-8801
5th row260-5110
ValueCountFrequency (%)
051 1257
 
20.3%
301 27
 
0.4%
263 17
 
0.3%
051263 17
 
0.3%
304 17
 
0.3%
261 16
 
0.3%
264 15
 
0.2%
051261 14
 
0.2%
303 12
 
0.2%
051262 9
 
0.1%
Other values (4155) 4781
77.3%
2024-04-17T14:01:33.579704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8262
17.5%
0 7725
16.4%
5 6797
14.4%
3 4728
10.0%
2 4482
9.5%
6 2775
 
5.9%
8 2520
 
5.3%
4 2390
 
5.1%
7 2364
 
5.0%
- 1897
 
4.0%
Other values (4) 3303
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43651
92.4%
Dash Punctuation 1897
 
4.0%
Space Separator 1690
 
3.6%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8262
18.9%
0 7725
17.7%
5 6797
15.6%
3 4728
10.8%
2 4482
10.3%
6 2775
 
6.4%
8 2520
 
5.8%
4 2390
 
5.5%
7 2364
 
5.4%
9 1608
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1897
100.0%
Space Separator
ValueCountFrequency (%)
1690
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8262
17.5%
0 7725
16.4%
5 6797
14.4%
3 4728
10.0%
2 4482
9.5%
6 2775
 
5.9%
8 2520
 
5.3%
4 2390
 
5.1%
7 2364
 
5.0%
- 1897
 
4.0%
Other values (4) 3303
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8262
17.5%
0 7725
16.4%
5 6797
14.4%
3 4728
10.0%
2 4482
9.5%
6 2775
 
5.9%
8 2520
 
5.3%
4 2390
 
5.1%
7 2364
 
5.0%
- 1897
 
4.0%
Other values (4) 3303
 
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5710
Missing (%)100.0%
Memory size50.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)23.3%
Missing4745
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean612105.16
Minimum600010
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:33.705300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600010
5-th percentile602030
Q1604846
median613102
Q3617814
95-th percentile617844
Maximum619963
Range19953
Interquartile range (IQR)12968

Descriptive statistics

Standard deviation6100.2642
Coefficient of variation (CV)0.0099660395
Kurtosis-1.3747689
Mean612105.16
Median Absolute Deviation (MAD)4721
Skewness-0.43518563
Sum5.9068148 × 108
Variance37213223
MonotonicityNot monotonic
2024-04-17T14:01:33.827464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
617825 46
 
0.8%
604042 43
 
0.8%
617826 36
 
0.6%
617814 34
 
0.6%
617050 32
 
0.6%
617823 31
 
0.5%
617070 26
 
0.5%
604060 25
 
0.4%
604041 24
 
0.4%
612060 23
 
0.4%
Other values (215) 645
 
11.3%
(Missing) 4745
83.1%
ValueCountFrequency (%)
600010 3
0.1%
600015 1
 
< 0.1%
600080 1
 
< 0.1%
600090 2
< 0.1%
600091 2
< 0.1%
600110 1
 
< 0.1%
600112 1
 
< 0.1%
600701 1
 
< 0.1%
600736 1
 
< 0.1%
600802 2
< 0.1%
ValueCountFrequency (%)
619963 7
0.1%
619962 1
 
< 0.1%
619961 10
0.2%
619960 2
 
< 0.1%
619953 1
 
< 0.1%
619952 2
 
< 0.1%
619950 1
 
< 0.1%
619913 1
 
< 0.1%
619906 2
 
< 0.1%
619905 2
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct4493
Distinct (%)81.1%
Missing170
Missing (%)3.0%
Memory size44.7 KiB
2024-04-17T14:01:34.150569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length21.462274
Min length12

Characters and Unicode

Total characters118901
Distinct characters283
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3763 ?
Unique (%)67.9%

Sample

1st row부산광역시 중구 중앙동4가 75-1번지
2nd row부산광역시 중구 중앙동4가 89-14번지 정석빌딩
3rd row부산광역시 중구 대청동4가 12-9 메리놀병원
4th row부산광역시 중구 보수동2가 106-5
5th row부산광역시 중구 중앙동7가 20-1번지
ValueCountFrequency (%)
부산광역시 5538
24.2%
사상구 2352
 
10.3%
사하구 1127
 
4.9%
강서구 778
 
3.4%
송정동 758
 
3.3%
학장동 732
 
3.2%
감전동 614
 
2.7%
장림동 510
 
2.2%
삼락동 402
 
1.8%
기장군 304
 
1.3%
Other values (4401) 9745
42.6%
2024-04-17T14:01:34.604256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18705
 
15.7%
5866
 
4.9%
5719
 
4.8%
5572
 
4.7%
5556
 
4.7%
5544
 
4.7%
5452
 
4.6%
1 5357
 
4.5%
5355
 
4.5%
- 4835
 
4.1%
Other values (273) 50940
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70809
59.6%
Decimal Number 24436
 
20.6%
Space Separator 18705
 
15.7%
Dash Punctuation 4835
 
4.1%
Other Punctuation 53
 
< 0.1%
Close Punctuation 23
 
< 0.1%
Open Punctuation 23
 
< 0.1%
Uppercase Letter 15
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5866
 
8.3%
5719
 
8.1%
5572
 
7.9%
5556
 
7.8%
5544
 
7.8%
5452
 
7.7%
5355
 
7.6%
3928
 
5.5%
3849
 
5.4%
3622
 
5.1%
Other values (248) 20346
28.7%
Decimal Number
ValueCountFrequency (%)
1 5357
21.9%
2 2838
11.6%
5 2579
10.6%
3 2330
9.5%
7 2121
 
8.7%
6 1976
 
8.1%
0 1941
 
7.9%
4 1922
 
7.9%
8 1781
 
7.3%
9 1591
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
33.3%
B 4
26.7%
C 2
 
13.3%
M 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
E 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
18705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4835
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70809
59.6%
Common 48076
40.4%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5866
 
8.3%
5719
 
8.1%
5572
 
7.9%
5556
 
7.8%
5544
 
7.8%
5452
 
7.7%
5355
 
7.6%
3928
 
5.5%
3849
 
5.4%
3622
 
5.1%
Other values (248) 20346
28.7%
Common
ValueCountFrequency (%)
18705
38.9%
1 5357
 
11.1%
- 4835
 
10.1%
2 2838
 
5.9%
5 2579
 
5.4%
3 2330
 
4.8%
7 2121
 
4.4%
6 1976
 
4.1%
0 1941
 
4.0%
4 1922
 
4.0%
Other values (7) 3472
 
7.2%
Latin
ValueCountFrequency (%)
A 5
31.2%
B 4
25.0%
C 2
 
12.5%
M 1
 
6.2%
c 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70809
59.6%
ASCII 48092
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18705
38.9%
1 5357
 
11.1%
- 4835
 
10.1%
2 2838
 
5.9%
5 2579
 
5.4%
3 2330
 
4.8%
7 2121
 
4.4%
6 1976
 
4.1%
0 1941
 
4.0%
4 1922
 
4.0%
Other values (15) 3488
 
7.3%
Hangul
ValueCountFrequency (%)
5866
 
8.3%
5719
 
8.1%
5572
 
7.9%
5556
 
7.8%
5544
 
7.8%
5452
 
7.7%
5355
 
7.6%
3928
 
5.5%
3849
 
5.4%
3622
 
5.1%
Other values (248) 20346
28.7%

도로명전체주소
Text

MISSING 

Distinct3364
Distinct (%)79.6%
Missing1483
Missing (%)26.0%
Memory size44.7 KiB
2024-04-17T14:01:34.870342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length26.772652
Min length19

Characters and Unicode

Total characters113168
Distinct characters384
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2775 ?
Unique (%)65.6%

Sample

1st row부산광역시 중구 충장대로5번길 72 (중앙동4가)
2nd row부산광역시 중구 중앙대로42번길 5 (중앙동5가)
3rd row부산광역시 중구 중앙대로 70 (중앙동4가)
4th row부산광역시 중구 중앙대로 88, 정석빌딩 (중앙동4가)
5th row부산광역시 중구 중구로 121, 메리놀병원 (대청동4가)
ValueCountFrequency (%)
부산광역시 4225
 
19.7%
사상구 1910
 
8.9%
사하구 781
 
3.6%
감전동 471
 
2.2%
학장동 455
 
2.1%
삼락동 402
 
1.9%
강서구 393
 
1.8%
장림동 370
 
1.7%
송정동 369
 
1.7%
기장군 279
 
1.3%
Other values (2097) 11818
55.0%
2024-04-17T14:01:35.272417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17716
 
15.7%
5555
 
4.9%
4871
 
4.3%
4388
 
3.9%
4314
 
3.8%
4298
 
3.8%
4229
 
3.7%
4127
 
3.6%
4075
 
3.6%
) 4018
 
3.6%
Other values (374) 55577
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68670
60.7%
Decimal Number 17836
 
15.8%
Space Separator 17716
 
15.7%
Close Punctuation 4018
 
3.6%
Open Punctuation 4018
 
3.6%
Dash Punctuation 563
 
0.5%
Other Punctuation 299
 
0.3%
Uppercase Letter 46
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5555
 
8.1%
4871
 
7.1%
4388
 
6.4%
4314
 
6.3%
4298
 
6.3%
4229
 
6.2%
4127
 
6.0%
4075
 
5.9%
3194
 
4.7%
2365
 
3.4%
Other values (344) 27254
39.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
15.2%
A 6
13.0%
S 6
13.0%
B 6
13.0%
K 5
10.9%
E 3
6.5%
H 3
6.5%
Y 3
6.5%
P 2
 
4.3%
U 2
 
4.3%
Other values (2) 3
6.5%
Decimal Number
ValueCountFrequency (%)
1 3425
19.2%
2 2525
14.2%
3 2210
12.4%
4 1696
9.5%
6 1563
8.8%
5 1545
8.7%
7 1411
7.9%
0 1221
 
6.8%
9 1169
 
6.6%
8 1071
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 298
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17716
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4018
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4018
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 563
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68670
60.7%
Common 44451
39.3%
Latin 47
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5555
 
8.1%
4871
 
7.1%
4388
 
6.4%
4314
 
6.3%
4298
 
6.3%
4229
 
6.2%
4127
 
6.0%
4075
 
5.9%
3194
 
4.7%
2365
 
3.4%
Other values (344) 27254
39.7%
Common
ValueCountFrequency (%)
17716
39.9%
) 4018
 
9.0%
( 4018
 
9.0%
1 3425
 
7.7%
2 2525
 
5.7%
3 2210
 
5.0%
4 1696
 
3.8%
6 1563
 
3.5%
5 1545
 
3.5%
7 1411
 
3.2%
Other values (7) 4324
 
9.7%
Latin
ValueCountFrequency (%)
C 7
14.9%
A 6
12.8%
S 6
12.8%
B 6
12.8%
K 5
10.6%
E 3
6.4%
H 3
6.4%
Y 3
6.4%
P 2
 
4.3%
U 2
 
4.3%
Other values (3) 4
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68670
60.7%
ASCII 44498
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17716
39.8%
) 4018
 
9.0%
( 4018
 
9.0%
1 3425
 
7.7%
2 2525
 
5.7%
3 2210
 
5.0%
4 1696
 
3.8%
6 1563
 
3.5%
5 1545
 
3.5%
7 1411
 
3.2%
Other values (20) 4371
 
9.8%
Hangul
ValueCountFrequency (%)
5555
 
8.1%
4871
 
7.1%
4388
 
6.4%
4314
 
6.3%
4298
 
6.3%
4229
 
6.2%
4127
 
6.0%
4075
 
5.9%
3194
 
4.7%
2365
 
3.4%
Other values (344) 27254
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct488
Distinct (%)17.3%
Missing2893
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean472143.5
Minimum6151
Maximum621270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:35.390885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6151
5-th percentile46751
Q149499
median617805
Q3617826
95-th percentile618270
Maximum621270
Range615119
Interquartile range (IQR)568327

Descriptive statistics

Standard deviation248059.88
Coefficient of variation (CV)0.52539085
Kurtosis-0.72891812
Mean472143.5
Median Absolute Deviation (MAD)38
Skewness-1.1273678
Sum1.3300282 × 109
Variance6.1533702 × 1010
MonotonicityNot monotonic
2024-04-17T14:01:35.499653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
617825 191
 
3.3%
617814 191
 
3.3%
617843 174
 
3.0%
617826 160
 
2.8%
617805 154
 
2.7%
617844 143
 
2.5%
617823 132
 
2.3%
617804 85
 
1.5%
617801 68
 
1.2%
617800 58
 
1.0%
Other values (478) 1461
25.6%
(Missing) 2893
50.7%
ValueCountFrequency (%)
6151 1
 
< 0.1%
46003 1
 
< 0.1%
46006 4
 
0.1%
46018 5
0.1%
46020 9
0.2%
46026 10
0.2%
46027 7
0.1%
46028 10
0.2%
46031 2
 
< 0.1%
46033 1
 
< 0.1%
ValueCountFrequency (%)
621270 1
 
< 0.1%
619963 6
 
0.1%
619962 2
 
< 0.1%
619961 33
0.6%
619953 3
 
0.1%
619952 12
 
0.2%
619951 14
0.2%
619950 2
 
< 0.1%
619912 1
 
< 0.1%
619906 2
 
< 0.1%
Distinct4467
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
2024-04-17T14:01:35.744737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.97338
Min length1

Characters and Unicode

Total characters39818
Distinct characters612
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3535 ?
Unique (%)61.9%

Sample

1st row주식회사 케이티
2nd row남성홀딩스(주) 부산지점
3rd row동원산업(주)
4th row은산기업주식회사
5th row(재)천주교부산교구메리놀병원
ValueCountFrequency (%)
주식회사 37
 
0.6%
제2공장 19
 
0.3%
부산공장 16
 
0.3%
2공장 11
 
0.2%
대영산업 9
 
0.1%
대진금속 9
 
0.1%
영진금속 9
 
0.1%
부산광역시 9
 
0.1%
부산지점 9
 
0.1%
대신금속 9
 
0.1%
Other values (4596) 6018
97.8%
2024-04-17T14:01:36.121030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2659
 
6.7%
) 2568
 
6.4%
( 2556
 
6.4%
1459
 
3.7%
1186
 
3.0%
1038
 
2.6%
990
 
2.5%
825
 
2.1%
763
 
1.9%
681
 
1.7%
Other values (602) 25093
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33387
83.8%
Close Punctuation 2569
 
6.5%
Open Punctuation 2557
 
6.4%
Uppercase Letter 448
 
1.1%
Space Separator 445
 
1.1%
Decimal Number 249
 
0.6%
Other Punctuation 78
 
0.2%
Lowercase Letter 40
 
0.1%
Other Symbol 38
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2659
 
8.0%
1459
 
4.4%
1186
 
3.6%
1038
 
3.1%
990
 
3.0%
825
 
2.5%
763
 
2.3%
681
 
2.0%
638
 
1.9%
612
 
1.8%
Other values (535) 22536
67.5%
Uppercase Letter
ValueCountFrequency (%)
S 59
13.2%
C 53
 
11.8%
T 47
 
10.5%
M 31
 
6.9%
E 25
 
5.6%
P 24
 
5.4%
G 19
 
4.2%
O 19
 
4.2%
N 18
 
4.0%
R 18
 
4.0%
Other values (13) 135
30.1%
Lowercase Letter
ValueCountFrequency (%)
o 5
12.5%
r 4
 
10.0%
s 3
 
7.5%
c 3
 
7.5%
e 3
 
7.5%
t 3
 
7.5%
i 2
 
5.0%
k 2
 
5.0%
l 2
 
5.0%
h 2
 
5.0%
Other values (8) 11
27.5%
Decimal Number
ValueCountFrequency (%)
2 99
39.8%
1 73
29.3%
3 34
 
13.7%
0 14
 
5.6%
4 8
 
3.2%
6 7
 
2.8%
5 6
 
2.4%
7 4
 
1.6%
9 3
 
1.2%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 44
56.4%
& 18
23.1%
, 8
 
10.3%
; 2
 
2.6%
/ 2
 
2.6%
# 1
 
1.3%
· 1
 
1.3%
1
 
1.3%
' 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 2568
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2556
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
445
100.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33424
83.9%
Common 5905
 
14.8%
Latin 488
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2659
 
8.0%
1459
 
4.4%
1186
 
3.5%
1038
 
3.1%
990
 
3.0%
825
 
2.5%
763
 
2.3%
681
 
2.0%
638
 
1.9%
612
 
1.8%
Other values (535) 22573
67.5%
Latin
ValueCountFrequency (%)
S 59
 
12.1%
C 53
 
10.9%
T 47
 
9.6%
M 31
 
6.4%
E 25
 
5.1%
P 24
 
4.9%
G 19
 
3.9%
O 19
 
3.9%
N 18
 
3.7%
R 18
 
3.7%
Other values (31) 175
35.9%
Common
ValueCountFrequency (%)
) 2568
43.5%
( 2556
43.3%
445
 
7.5%
2 99
 
1.7%
1 73
 
1.2%
. 44
 
0.7%
3 34
 
0.6%
& 18
 
0.3%
0 14
 
0.2%
4 8
 
0.1%
Other values (15) 46
 
0.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33380
83.8%
ASCII 6391
 
16.1%
None 40
 
0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2659
 
8.0%
1459
 
4.4%
1186
 
3.6%
1038
 
3.1%
990
 
3.0%
825
 
2.5%
763
 
2.3%
681
 
2.0%
638
 
1.9%
612
 
1.8%
Other values (529) 22529
67.5%
ASCII
ValueCountFrequency (%)
) 2568
40.2%
( 2556
40.0%
445
 
7.0%
2 99
 
1.5%
1 73
 
1.1%
S 59
 
0.9%
C 53
 
0.8%
T 47
 
0.7%
. 44
 
0.7%
3 34
 
0.5%
Other values (54) 413
 
6.5%
None
ValueCountFrequency (%)
38
95.0%
· 1
 
2.5%
1
 
2.5%
Compat Jamo
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct5709
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0133332 × 1013
Minimum2.0000818 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:36.246222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000818 × 1013
5-th percentile2.0041112 × 1013
Q12.0070221 × 1013
median2.0150824 × 1013
Q32.0190725 × 1013
95-th percentile2.0201207 × 1013
Maximum2.0210226 × 1013
Range2.0940805 × 1011
Interquartile range (IQR)1.205038 × 1011

Descriptive statistics

Standard deviation6.0685263 × 1010
Coefficient of variation (CV)0.0030141688
Kurtosis-1.4308594
Mean2.0133332 × 1013
Median Absolute Deviation (MAD)4.0396033 × 1010
Skewness-0.3698829
Sum1.1496133 × 1017
Variance3.6827011 × 1021
MonotonicityNot monotonic
2024-04-17T14:01:36.363454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051126144103 2
 
< 0.1%
20200324152922 1
 
< 0.1%
20030623111032 1
 
< 0.1%
20030604160644 1
 
< 0.1%
20010507104555 1
 
< 0.1%
20030604162330 1
 
< 0.1%
20040402165713 1
 
< 0.1%
20040907171302 1
 
< 0.1%
20040811153214 1
 
< 0.1%
20031029110853 1
 
< 0.1%
Other values (5699) 5699
99.8%
ValueCountFrequency (%)
20000818125418 1
< 0.1%
20000819115626 1
< 0.1%
20000824160852 1
< 0.1%
20000824175955 1
< 0.1%
20001002112023 1
< 0.1%
20001011094119 1
< 0.1%
20001031095222 1
< 0.1%
20001114130550 1
< 0.1%
20001228152700 1
< 0.1%
20010126112653 1
< 0.1%
ValueCountFrequency (%)
20210226180417 1
< 0.1%
20210226173927 1
< 0.1%
20210226154141 1
< 0.1%
20210226143353 1
< 0.1%
20210226133934 1
< 0.1%
20210225134319 1
< 0.1%
20210225090300 1
< 0.1%
20210224173143 1
< 0.1%
20210223094741 1
< 0.1%
20210222214208 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
I
3726 
U
1984 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3726
65.3%
U 1984
34.7%

Length

2024-04-17T14:01:36.468235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:36.543650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3726
65.3%
u 1984
34.7%
Distinct620
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
Minimum2018-09-06 23:59:59
Maximum2021-02-28 02:40:00
2024-04-17T14:01:36.911150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:01:37.023243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct448
Distinct (%)17.8%
Missing3193
Missing (%)55.9%
Memory size44.7 KiB
2024-04-17T14:01:37.331684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.851808
Min length2

Characters and Unicode

Total characters27314
Distinct characters292
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)7.9%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row부동산 임대업
5th row소방서
ValueCountFrequency (%)
제조업 1107
 
14.3%
819
 
10.6%
기타 549
 
7.1%
자동차 321
 
4.1%
도금업 291
 
3.8%
수리업 211
 
2.7%
조립금속제품 197
 
2.5%
종합 134
 
1.7%
그외 105
 
1.4%
제외 97
 
1.3%
Other values (583) 3906
50.5%
2024-04-17T14:01:37.760662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5221
19.1%
2451
 
9.0%
1939
 
7.1%
1496
 
5.5%
891
 
3.3%
840
 
3.1%
803
 
2.9%
782
 
2.9%
642
 
2.4%
573
 
2.1%
Other values (282) 11676
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21922
80.3%
Space Separator 5221
 
19.1%
Other Punctuation 156
 
0.6%
Decimal Number 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2451
 
11.2%
1939
 
8.8%
1496
 
6.8%
891
 
4.1%
840
 
3.8%
803
 
3.7%
782
 
3.6%
642
 
2.9%
573
 
2.6%
470
 
2.1%
Other values (277) 11035
50.3%
Other Punctuation
ValueCountFrequency (%)
, 141
90.4%
· 10
 
6.4%
; 5
 
3.2%
Space Separator
ValueCountFrequency (%)
5221
100.0%
Decimal Number
ValueCountFrequency (%)
1 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21922
80.3%
Common 5392
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2451
 
11.2%
1939
 
8.8%
1496
 
6.8%
891
 
4.1%
840
 
3.8%
803
 
3.7%
782
 
3.6%
642
 
2.9%
573
 
2.6%
470
 
2.1%
Other values (277) 11035
50.3%
Common
ValueCountFrequency (%)
5221
96.8%
, 141
 
2.6%
1 15
 
0.3%
· 10
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21922
80.3%
ASCII 5382
 
19.7%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5221
97.0%
, 141
 
2.6%
1 15
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2451
 
11.2%
1939
 
8.8%
1496
 
6.8%
891
 
4.1%
840
 
3.8%
803
 
3.7%
782
 
3.6%
642
 
2.9%
573
 
2.6%
470
 
2.1%
Other values (277) 11035
50.3%
None
ValueCountFrequency (%)
· 10
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3282
Distinct (%)75.2%
Missing1344
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean382589.1
Minimum203846.91
Maximum409312.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:37.885370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203846.91
5-th percentile368370.3
Q1379701.41
median380566.08
Q3385730.96
95-th percentile399159.26
Maximum409312.53
Range205465.62
Interquartile range (IQR)6029.5488

Descriptive statistics

Standard deviation8212.1098
Coefficient of variation (CV)0.021464568
Kurtosis51.621608
Mean382589.1
Median Absolute Deviation (MAD)1313.8864
Skewness-1.7754692
Sum1.670384 × 109
Variance67438748
MonotonicityNot monotonic
2024-04-17T14:01:38.000858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379286.807180708 15
 
0.3%
379676.739126262 10
 
0.2%
378066.045463306 9
 
0.2%
369030.767256382 9
 
0.2%
380591.628634156 7
 
0.1%
380034.200316414 7
 
0.1%
393613.739814618 7
 
0.1%
380235.651842785 7
 
0.1%
378072.314730246 6
 
0.1%
378230.386696257 6
 
0.1%
Other values (3272) 4283
75.0%
(Missing) 1344
 
23.5%
ValueCountFrequency (%)
203846.905722439 1
< 0.1%
365042.93864724 1
< 0.1%
365400.372737445 1
< 0.1%
365598.422353 1
< 0.1%
365613.595615505 1
< 0.1%
365640.092566253 1
< 0.1%
366237.797897511 1
< 0.1%
366266.103555541 1
< 0.1%
366283.763436367 1
< 0.1%
366339.309102189 1
< 0.1%
ValueCountFrequency (%)
409312.526674356 1
< 0.1%
408465.47014337 2
< 0.1%
408104.217224932 1
< 0.1%
408074.574244747 1
< 0.1%
407860.031836566 1
< 0.1%
407843.966573645 1
< 0.1%
406652.011569395 1
< 0.1%
406190.540880514 2
< 0.1%
406007.739500681 1
< 0.1%
405967.49653678 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3281
Distinct (%)75.1%
Missing1344
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean185595.1
Minimum173992.31
Maximum444606.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:38.115566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173992.31
5-th percentile176513.33
Q1178744.3
median185143.71
Q3188956.03
95-th percentile203880.9
Maximum444606.04
Range270613.73
Interquartile range (IQR)10211.732

Descriptive statistics

Standard deviation8157.0711
Coefficient of variation (CV)0.043950897
Kurtosis232.69455
Mean185595.1
Median Absolute Deviation (MAD)4264.1045
Skewness7.9749056
Sum8.1030819 × 108
Variance66537809
MonotonicityNot monotonic
2024-04-17T14:01:38.249304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183893.96974413 15
 
0.3%
183709.666376222 10
 
0.2%
177890.747827327 9
 
0.2%
176748.47472086 9
 
0.2%
185009.709198951 7
 
0.1%
189366.88271546 7
 
0.1%
184629.104887058 7
 
0.1%
192493.751896833 7
 
0.1%
176833.128160946 6
 
0.1%
176721.757424129 6
 
0.1%
Other values (3271) 4283
75.0%
(Missing) 1344
 
23.5%
ValueCountFrequency (%)
173992.30883079 1
< 0.1%
174029.34754803 1
< 0.1%
174143.075915609 1
< 0.1%
174226.136061123 1
< 0.1%
174282.637515014 2
< 0.1%
174285.477360553 1
< 0.1%
174315.265600106 1
< 0.1%
174330.963124212 2
< 0.1%
174331.206459644 1
< 0.1%
174353.573757884 1
< 0.1%
ValueCountFrequency (%)
444606.040629202 1
< 0.1%
211721.210733823 1
< 0.1%
211123.294037 1
< 0.1%
210951.640409 1
< 0.1%
210853.725594626 1
< 0.1%
210837.59783397 1
< 0.1%
210795.258306 1
< 0.1%
210735.315853947 1
< 0.1%
210715.757646941 1
< 0.1%
210672.872936 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
대기배출업소관리
5710 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기배출업소관리 5710
100.0%

Length

2024-04-17T14:01:38.351104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:38.425208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5710
100.0%

업종구분명
Text

MISSING 

Distinct480
Distinct (%)15.7%
Missing2660
Missing (%)46.6%
Memory size44.7 KiB
2024-04-17T14:01:38.671482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24.5
Mean length10.735738
Min length2

Characters and Unicode

Total characters32744
Distinct characters293
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)6.6%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row부동산 임대업
5th row소방서
ValueCountFrequency (%)
제조업 1357
 
14.7%
958
 
10.4%
기타 683
 
7.4%
도금업 394
 
4.3%
자동차 336
 
3.6%
조립금속제품 230
 
2.5%
수리업 222
 
2.4%
종합 138
 
1.5%
가공업 128
 
1.4%
그외 115
 
1.2%
Other values (611) 4660
50.5%
2024-04-17T14:01:39.082534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6172
18.8%
2992
 
9.1%
2455
 
7.5%
1883
 
5.8%
1079
 
3.3%
1059
 
3.2%
1005
 
3.1%
979
 
3.0%
715
 
2.2%
707
 
2.2%
Other values (283) 13698
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26378
80.6%
Space Separator 6172
 
18.8%
Other Punctuation 174
 
0.5%
Decimal Number 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2992
 
11.3%
2455
 
9.3%
1883
 
7.1%
1079
 
4.1%
1059
 
4.0%
1005
 
3.8%
979
 
3.7%
715
 
2.7%
707
 
2.7%
618
 
2.3%
Other values (278) 12886
48.9%
Other Punctuation
ValueCountFrequency (%)
, 157
90.2%
· 12
 
6.9%
; 5
 
2.9%
Space Separator
ValueCountFrequency (%)
6172
100.0%
Decimal Number
ValueCountFrequency (%)
1 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26378
80.6%
Common 6366
 
19.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2992
 
11.3%
2455
 
9.3%
1883
 
7.1%
1079
 
4.1%
1059
 
4.0%
1005
 
3.8%
979
 
3.7%
715
 
2.7%
707
 
2.7%
618
 
2.3%
Other values (278) 12886
48.9%
Common
ValueCountFrequency (%)
6172
97.0%
, 157
 
2.5%
1 20
 
0.3%
· 12
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26378
80.6%
ASCII 6354
 
19.4%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6172
97.1%
, 157
 
2.5%
1 20
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2992
 
11.3%
2455
 
9.3%
1883
 
7.1%
1079
 
4.1%
1059
 
4.0%
1005
 
3.8%
979
 
3.7%
715
 
2.7%
707
 
2.7%
618
 
2.3%
Other values (278) 12886
48.9%
None
ValueCountFrequency (%)
· 12
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
5종
3177 
4종
1842 
3종
 
316
2종
 
187
<NA>
 
134

Length

Max length4
Median length2
Mean length2.0469352
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row5종
3rd row5종
4th row5종
5th row4종

Common Values

ValueCountFrequency (%)
5종 3177
55.6%
4종 1842
32.3%
3종 316
 
5.5%
2종 187
 
3.3%
<NA> 134
 
2.3%
1종 54
 
0.9%

Length

2024-04-17T14:01:39.211343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:39.312923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 3177
55.6%
4종 1842
32.3%
3종 316
 
5.5%
2종 187
 
3.3%
na 134
 
2.3%
1종 54
 
0.9%

주생산품명
Text

MISSING 

Distinct558
Distinct (%)68.0%
Missing4889
Missing (%)85.6%
Memory size44.7 KiB
2024-04-17T14:01:39.553116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length19
Mean length6.2314251
Min length1

Characters and Unicode

Total characters5116
Distinct characters387
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique448 ?
Unique (%)54.6%

Sample

1st row하수처리수
2nd row180111-0003896
3rd row자동차
4th row탁주
5th row자동차
ValueCountFrequency (%)
도금된 49
 
4.7%
자동차부품 32
 
3.0%
자동차 28
 
2.7%
산업기계부품 23
 
2.2%
도금된자동차부품 15
 
1.4%
14
 
1.3%
금속제품 13
 
1.2%
기계부품 12
 
1.1%
11
 
1.0%
제품 9
 
0.9%
Other values (586) 844
80.4%
2024-04-17T14:01:39.949666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
5.7%
229
 
4.5%
213
 
4.2%
186
 
3.6%
183
 
3.6%
163
 
3.2%
151
 
3.0%
149
 
2.9%
142
 
2.8%
127
 
2.5%
Other values (377) 3279
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4412
86.2%
Space Separator 229
 
4.5%
Uppercase Letter 197
 
3.9%
Lowercase Letter 110
 
2.2%
Decimal Number 72
 
1.4%
Other Punctuation 58
 
1.1%
Open Punctuation 14
 
0.3%
Close Punctuation 14
 
0.3%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
186
 
4.2%
183
 
4.1%
163
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (315) 2699
61.2%
Uppercase Letter
ValueCountFrequency (%)
E 28
14.2%
L 17
 
8.6%
P 16
 
8.1%
C 16
 
8.1%
A 13
 
6.6%
S 12
 
6.1%
T 12
 
6.1%
I 12
 
6.1%
R 12
 
6.1%
H 10
 
5.1%
Other values (12) 49
24.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
14.5%
t 12
10.9%
r 11
 
10.0%
a 10
 
9.1%
s 7
 
6.4%
h 5
 
4.5%
d 5
 
4.5%
o 5
 
4.5%
p 5
 
4.5%
b 5
 
4.5%
Other values (12) 29
26.4%
Decimal Number
ValueCountFrequency (%)
1 18
25.0%
3 10
13.9%
0 10
13.9%
6 7
 
9.7%
2 6
 
8.3%
5 6
 
8.3%
4 5
 
6.9%
8 4
 
5.6%
9 4
 
5.6%
7 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 54
93.1%
. 2
 
3.4%
/ 1
 
1.7%
& 1
 
1.7%
Space Separator
ValueCountFrequency (%)
229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4412
86.2%
Common 397
 
7.8%
Latin 307
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
186
 
4.2%
183
 
4.1%
163
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (315) 2699
61.2%
Latin
ValueCountFrequency (%)
E 28
 
9.1%
L 17
 
5.5%
e 16
 
5.2%
P 16
 
5.2%
C 16
 
5.2%
A 13
 
4.2%
S 12
 
3.9%
T 12
 
3.9%
t 12
 
3.9%
I 12
 
3.9%
Other values (34) 153
49.8%
Common
ValueCountFrequency (%)
229
57.7%
, 54
 
13.6%
1 18
 
4.5%
( 14
 
3.5%
) 14
 
3.5%
- 10
 
2.5%
3 10
 
2.5%
0 10
 
2.5%
6 7
 
1.8%
2 6
 
1.5%
Other values (8) 25
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4412
86.2%
ASCII 704
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
186
 
4.2%
183
 
4.1%
163
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (315) 2699
61.2%
ASCII
ValueCountFrequency (%)
229
32.5%
, 54
 
7.7%
E 28
 
4.0%
1 18
 
2.6%
L 17
 
2.4%
e 16
 
2.3%
P 16
 
2.3%
C 16
 
2.3%
( 14
 
2.0%
) 14
 
2.0%
Other values (52) 282
40.1%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct170
Distinct (%)3.5%
Missing862
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean6.8927682
Minimum0
Maximum365
Zeros1062
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:40.070469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q38
95-th percentile20
Maximum365
Range365
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.7861805
Coefficient of variation (CV)1.1296159
Kurtosis927.02346
Mean6.8927682
Median Absolute Deviation (MAD)1
Skewness20.954841
Sum33416.14
Variance60.624606
MonotonicityNot monotonic
2024-04-17T14:01:40.195974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 2269
39.7%
0.0 1062
18.6%
24.0 196
 
3.4%
2.0 191
 
3.3%
4.0 142
 
2.5%
6.0 125
 
2.2%
10.0 115
 
2.0%
3.0 87
 
1.5%
5.0 66
 
1.2%
12.0 62
 
1.1%
Other values (160) 533
 
9.3%
(Missing) 862
 
15.1%
ValueCountFrequency (%)
0.0 1062
18.6%
0.2 1
 
< 0.1%
0.4 1
 
< 0.1%
0.6 1
 
< 0.1%
0.66 1
 
< 0.1%
1.0 31
 
0.5%
1.1 2
 
< 0.1%
1.11 1
 
< 0.1%
1.27 2
 
< 0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
365.0 1
 
< 0.1%
88.0 1
 
< 0.1%
81.0 1
 
< 0.1%
48.0 1
 
< 0.1%
41.0 1
 
< 0.1%
25.0 1
 
< 0.1%
24.0 196
3.4%
23.8 1
 
< 0.1%
23.64 1
 
< 0.1%
23.4 1
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct166
Distinct (%)3.7%
Missing1282
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean221.98193
Minimum0
Maximum365
Zeros1036
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:40.319108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median300
Q3300
95-th percentile300
Maximum365
Range365
Interquartile range (IQR)200

Descriptive statistics

Standard deviation129.16696
Coefficient of variation (CV)0.5818805
Kurtosis-0.76319032
Mean221.98193
Median Absolute Deviation (MAD)0
Skewness-1.055222
Sum982936
Variance16684.103
MonotonicityNot monotonic
2024-04-17T14:01:40.435650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2648
46.4%
0 1036
 
18.1%
365 88
 
1.5%
240 81
 
1.4%
250 40
 
0.7%
260 24
 
0.4%
264 20
 
0.4%
312 19
 
0.3%
280 18
 
0.3%
200 15
 
0.3%
Other values (156) 439
 
7.7%
(Missing) 1282
22.5%
ValueCountFrequency (%)
0 1036
18.1%
1 4
 
0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
8 5
 
0.1%
12 2
 
< 0.1%
15 1
 
< 0.1%
17 2
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
365 88
1.5%
364 1
 
< 0.1%
360 9
 
0.2%
358 3
 
0.1%
355 4
 
0.1%
351 1
 
< 0.1%
350 11
 
0.2%
347 2
 
< 0.1%
345 3
 
0.1%
343 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)2.2%
Missing2215
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean6.3022775
Minimum0
Maximum310
Zeros1116
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:40.553656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile20
Maximum310
Range310
Interquartile range (IQR)8

Descriptive statistics

Standard deviation13.449312
Coefficient of variation (CV)2.1340399
Kurtosis342.29819
Mean6.3022775
Median Absolute Deviation (MAD)4
Skewness16.695292
Sum22026.46
Variance180.88399
MonotonicityNot monotonic
2024-04-17T14:01:40.671438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 1406
24.6%
0.0 1116
19.5%
2.0 175
 
3.1%
24.0 128
 
2.2%
4.0 107
 
1.9%
6.0 104
 
1.8%
3.0 72
 
1.3%
10.0 58
 
1.0%
5.0 46
 
0.8%
12.0 36
 
0.6%
Other values (67) 247
 
4.3%
(Missing) 2215
38.8%
ValueCountFrequency (%)
0.0 1116
19.5%
0.2 1
 
< 0.1%
1.0 24
 
0.4%
1.11 1
 
< 0.1%
1.27 1
 
< 0.1%
1.3 1
 
< 0.1%
1.36 1
 
< 0.1%
1.65 1
 
< 0.1%
1.8 1
 
< 0.1%
2.0 175
 
3.1%
ValueCountFrequency (%)
310.0 1
 
< 0.1%
300.0 3
 
0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
180.0 1
 
< 0.1%
133.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 128
2.2%
23.0 3
 
0.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)3.5%
Missing1972
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean203.14366
Minimum0
Maximum365
Zeros1118
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size50.3 KiB
2024-04-17T14:01:40.793869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile300
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation138.69228
Coefficient of variation (CV)0.68273005
Kurtosis-1.3884464
Mean203.14366
Median Absolute Deviation (MAD)0
Skewness-0.71926876
Sum759351
Variance19235.549
MonotonicityNot monotonic
2024-04-17T14:01:40.912583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2048
35.9%
0 1118
19.6%
365 85
 
1.5%
240 82
 
1.4%
250 44
 
0.8%
260 22
 
0.4%
264 17
 
0.3%
312 17
 
0.3%
200 13
 
0.2%
280 11
 
0.2%
Other values (120) 281
 
4.9%
(Missing) 1972
34.5%
ValueCountFrequency (%)
0 1118
19.6%
1 5
 
0.1%
3 1
 
< 0.1%
4 3
 
0.1%
5 1
 
< 0.1%
8 7
 
0.1%
9 2
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
365 85
1.5%
364 1
 
< 0.1%
360 10
 
0.2%
358 3
 
0.1%
357 1
 
< 0.1%
355 4
 
0.1%
350 9
 
0.2%
345 3
 
0.1%
341 3
 
0.1%
340 3
 
0.1%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5710
Missing (%)100.0%
Memory size50.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
01대기오염물질배출시설설치사업장09_30_08_P325000032500002120200000120200324<NA>1영업/정상11영업<NA><NA><NA><NA>051-441-2340<NA><NA>부산광역시 중구 중앙동4가 75-1번지부산광역시 중구 충장대로5번길 72 (중앙동4가)48934주식회사 케이티20200324152922I2020-03-26 00:23:37.0유선 및 위성 방송업385811.634937180996.883871대기배출업소관리유선 및 위성 방송업5종<NA><NA><NA><NA><NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P325000032500002120150000520151030<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙대로42번길 5 (중앙동5가)48943남성홀딩스(주) 부산지점20160129092019I2018-10-04 11:12:49.0<NA>385694.471946179946.417621대기배출업소관리<NA>5종<NA><NA><NA><NA><NA><NA>
23대기오염물질배출시설설치사업장09_30_08_P325000032500002120150000620151030<NA>1영업/정상11영업<NA><NA><NA><NA>442-4521<NA><NA><NA>부산광역시 중구 중앙대로 70 (중앙동4가)48941동원산업(주)20201118154852U2020-11-20 02:40:00.0<NA>385637.167035180199.557791대기배출업소관리<NA>5종<NA><NA><NA><NA><NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P325000032500002120150001120151211<NA>1영업/정상11영업<NA><NA><NA><NA>462-8281<NA><NA>부산광역시 중구 중앙동4가 89-14번지 정석빌딩부산광역시 중구 중앙대로 88, 정석빌딩 (중앙동4가)48939은산기업주식회사20200108155021U2020-01-10 02:40:00.0<NA>385616.660201180406.241288대기배출업소관리<NA>5종<NA>8.0<NA><NA><NA><NA>
45대기오염물질배출시설설치사업장09_30_08_P325000032500002120150001220151215<NA>1영업/정상11영업<NA><NA><NA><NA>465-8801<NA><NA>부산광역시 중구 대청동4가 12-9 메리놀병원부산광역시 중구 중구로 121, 메리놀병원 (대청동4가)48972(재)천주교부산교구메리놀병원20201229134305U2020-12-31 02:40:00.0종합 병원385203.926916180571.71365대기배출업소관리종합 병원4종<NA><NA><NA><NA>270<NA>
56대기오염물질배출시설설치사업장09_30_08_P325000032500002120150001720151228<NA>1영업/정상11영업<NA><NA><NA><NA>260-5110<NA><NA><NA>부산광역시 중구 광복로39번길 6 (창선동1가)48947와이즈파크광복점(에이엠플러스자산개발(주))20201214105411U2020-12-16 02:40:00.0<NA>384993.660073179733.755299대기배출업소관리<NA>4종<NA><NA><NA><NA><NA><NA>
67대기오염물질배출시설설치사업장09_30_08_P325000032500002120150002020151230<NA>1영업/정상11영업<NA><NA><NA><NA>469-0401<NA><NA><NA>부산광역시 중구 충장대로9번길 52 (중앙동4가, 마린센터빌딩)48936전국해상선원노동조합연맹부산20201208150031U2020-12-10 02:40:00.0<NA>385825.756708180869.292985대기배출업소관리<NA>5종<NA><NA><NA><NA><NA><NA>
78대기오염물질배출시설설치사업장09_30_08_P325000032500002120150002120151230<NA>1영업/정상11영업<NA><NA><NA><NA>246-4390<NA><NA><NA>부산광역시 중구 광복로97번길 18 (동광동2가)48955(주)영신20151231093111I2018-10-04 11:12:49.0<NA>385514.844565179798.854866대기배출업소관리<NA>5종<NA><NA><NA><NA><NA><NA>
89대기오염물질배출시설설치사업장09_30_08_P325000032500002120160000120160518<NA>1영업/정상11영업<NA><NA><NA><NA>051-661-3592<NA><NA><NA>부산광역시 중구 해관로 65 (중앙동4가)600815은산산업개발(주)20160526172752I2018-10-04 11:12:49.0<NA>385502.49232180297.579331대기배출업소관리<NA>5종<NA>8.01008.0100<NA>
910대기오염물질배출시설설치사업장09_30_08_P325000032500002120160000220160805<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 보수동2가 106-5부산광역시 중구 흑교로 49 (보수동2가)48963제일종합정비20201229134225U2020-12-31 02:40:00.0<NA>384546.905266180177.592542대기배출업소관리<NA>5종<NA>5.0300<NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
57005701대기오염물질배출시설설치사업장09_30_08_P333000033300002119930003820040629<NA>4취소/말소/만료/정지/중지4폐쇄20040629<NA><NA><NA><NA><NA>612060부산광역시 해운대구 반여동 1085-3번지<NA><NA>대우자동차(주)부산정비사업소20041026153002I2018-10-04 11:12:49.0<NA>392878.992506191808.711737대기배출업소관리<NA><NA><NA>0.000.00<NA>
57015702대기오염물질배출시설설치사업장09_30_08_P333000033300002119940000819940225<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>0515427784<NA><NA>부산광역시 해운대구 반송동 77번지부산광역시 해운대구 신반송로 200 (반송동)<NA>주공 반송동 영구임대아파트20100422144029I2018-10-04 11:12:49.0<NA>396472.616415194680.788218대기배출업소관리<NA>3종<NA>0.000.00<NA>
57025703대기오염물질배출시설설치사업장09_30_08_P333000033300002119940003419931227<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>05105258876<NA><NA>부산광역시 해운대구 반여동 1190-2번지부산광역시 해운대구 명장로67번길 146 (반여동)<NA>(주)원동1급정비20150302132059I2018-10-04 11:12:49.0<NA>392731.387687191458.261955대기배출업소관리<NA>5종<NA>8.000.00<NA>
57035704대기오염물질배출시설설치사업장09_30_08_P3330000333000021199600018<NA><NA>4취소/말소/만료/정지/중지4폐쇄20040629<NA><NA><NA>05107403001<NA>612051부산광역시 해운대구 재송동 856-1번지<NA><NA>(주)한진 부산지점20050524085639I2018-10-04 11:12:49.0<NA>392944.10434189500.428959대기배출업소관리<NA><NA><NA>0.000.00<NA>
57045705대기오염물질배출시설설치사업장09_30_08_P3330000333000021197200004<NA><NA>4취소/말소/만료/정지/중지4폐쇄20041201<NA><NA><NA>05105232211<NA>612061부산광역시 해운대구 반여동 1406번지<NA><NA>(주)한국수출포장공업20070920153854I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA><NA><NA>0.000.00<NA>
57055706대기오염물질배출시설설치사업장09_30_08_P333000033300002119970000520041112<NA>4취소/말소/만료/정지/중지4폐쇄20041112<NA><NA><NA>005105232111<NA>612061부산광역시 해운대구 반여동 1430-1번지<NA><NA>(주)대우 부산공장20041112100035I2018-10-04 11:12:49.0기타 화학제품 제조업<NA><NA>대기배출업소관리기타 화학제품 제조업1종<NA>24.030024.0300<NA>
57065707대기오염물질배출시설설치사업장09_30_08_P333000033300002119980000520041112<NA>4취소/말소/만료/정지/중지4폐쇄20041112<NA><NA><NA>005105232111<NA>612061부산광역시 해운대구 반여동 1430-1번지<NA><NA>(주)대우 부산공장20041112100116I2018-10-04 11:12:49.0섬유제품 제조업 봉제의복 제외<NA><NA>대기배출업소관리섬유제품 제조업 봉제의복 제외1종<NA>24.03128.0312<NA>
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