Overview

Dataset statistics

Number of variables37
Number of observations5701
Missing cells56568
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

Description2021-03-01
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 5701 (100.0%) missing valuesMissing
폐업일자 has 3471 (60.9%) missing valuesMissing
재개업일자 has 5701 (100.0%) missing valuesMissing
소재지전화 has 1207 (21.2%) missing valuesMissing
소재지면적 has 5701 (100.0%) missing valuesMissing
소재지우편번호 has 4735 (83.1%) missing valuesMissing
소재지전체주소 has 171 (3.0%) missing valuesMissing
도로명전체주소 has 1482 (26.0%) missing valuesMissing
도로명우편번호 has 2890 (50.7%) missing valuesMissing
업태구분명 has 3193 (56.0%) missing valuesMissing
좌표정보(x) has 1343 (23.6%) missing valuesMissing
좌표정보(y) has 1343 (23.6%) missing valuesMissing
업종구분명 has 2660 (46.7%) missing valuesMissing
주생산품명 has 4883 (85.7%) missing valuesMissing
배출시설조업시간 has 860 (15.1%) missing valuesMissing
배출시설연간가동일수 has 1279 (22.4%) missing valuesMissing
방지시설조업시간 has 2212 (38.8%) missing valuesMissing
방지시설연간가동일수 has 1969 (34.5%) missing valuesMissing
Unnamed: 36 has 5701 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -43.39349818)Skewed
배출시설조업시간 is highly skewed (γ1 = 20.94254665)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 (18.2%) zerosZeros
방지시설조업시간 has 1116 (19.6%) zerosZeros
방지시설연간가동일수 has 1118 (19.6%) zerosZeros

Reproduction

Analysis started2024-04-17 05:01:43.603981
Analysis finished2024-04-17 05:01:45.034331
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5701
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2851
Minimum1
Maximum5701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:45.349474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile286
Q11426
median2851
Q34276
95-th percentile5416
Maximum5701
Range5700
Interquartile range (IQR)2850

Descriptive statistics

Standard deviation1645.8813
Coefficient of variation (CV)0.57729964
Kurtosis-1.2
Mean2851
Median Absolute Deviation (MAD)1425
Skewness0
Sum16253551
Variance2708925.2
MonotonicityStrictly increasing
2024-04-17T14:01:45.462076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3788 1
 
< 0.1%
3808 1
 
< 0.1%
3807 1
 
< 0.1%
3806 1
 
< 0.1%
3805 1
 
< 0.1%
3804 1
 
< 0.1%
3803 1
 
< 0.1%
3802 1
 
< 0.1%
3801 1
 
< 0.1%
Other values (5691) 5691
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 (%)
5701 1
< 0.1%
5700 1
< 0.1%
5699 1
< 0.1%
5698 1
< 0.1%
5697 1
< 0.1%
5696 1
< 0.1%
5695 1
< 0.1%
5694 1
< 0.1%
5693 1
< 0.1%
5692 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
대기오염물질배출시설설치사업장
5701 

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 5701
100.0%

Length

2024-04-17T14:01:45.577531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:45.665112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5701
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
09_30_08_P
5701 

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 5701
100.0%

Length

2024-04-17T14:01:45.746248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:45.819804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5701
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3977728.5
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:45.888261image/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 deviation1185797.6
Coefficient of variation (CV)0.29810924
Kurtosis-0.024646983
Mean3977728.5
Median Absolute Deviation (MAD)40000
Skewness1.4039056
Sum2.267703 × 1010
Variance1.4061159 × 1012
MonotonicityNot monotonic
2024-04-17T14:01:45.981631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3390000 1931
33.9%
6260000 1211
21.2%
3340000 830
14.6%
3360000 333
 
5.8%
3400000 321
 
5.6%
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 830
14.6%
ValueCountFrequency (%)
6260000 1211
21.2%
3400000 321
 
5.6%
3390000 1931
33.9%
3380000 50
 
0.9%
3370000 79
 
1.4%
3360000 333
 
5.8%
3350000 234
 
4.1%
3340000 830
14.6%
3330000 182
 
3.2%
3320000 53
 
0.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5701
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9777286 × 1017
Minimum3.2500002 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:46.090395image/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 deviation1.1857975 × 1017
Coefficient of variation (CV)0.2981092
Kurtosis-0.024646983
Mean3.9777286 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness1.4039056
Sum-1.2464244 × 1018
Variance1.4061158 × 1034
MonotonicityNot monotonic
2024-04-17T14:01:46.209021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000021202000001 1
 
< 0.1%
334000021198124011 1
 
< 0.1%
334000021200025415 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%
Other values (5691) 5691
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 

Distinct3295
Distinct (%)58.5%
Missing66
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean20029787
Minimum198706
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:46.341255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198706
5-th percentile19910482
Q120000328
median20040524
Q320090468
95-th percentile20171051
Maximum20210128
Range20011422
Interquartile range (IQR)90139.5

Descriptive statistics

Standard deviation392199.09
Coefficient of variation (CV)0.019580792
Kurtosis2035.7531
Mean20029787
Median Absolute Deviation (MAD)40579
Skewness-43.393498
Sum1.1286785 × 1011
Variance1.5382013 × 1011
MonotonicityNot monotonic
2024-04-17T14:01:46.468399image/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%
20081114 14
 
0.2%
Other values (3285) 5413
94.9%
(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 (%)
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%
20210104 4
0.1%
20201231 1
 
< 0.1%
20201230 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5701
Missing (%)100.0%
Memory size50.2 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
1
3175 
3
1842 
4
683 
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 3175
55.7%
3 1842
32.3%
4 683
 
12.0%
2 1
 
< 0.1%

Length

2024-04-17T14:01:46.581234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:46.663933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3175
55.7%
3 1842
32.3%
4 683
 
12.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
영업/정상
3175 
폐업
1842 
취소/말소/만료/정지/중지
683 
휴업
 
1

Length

Max length14
Median length5
Mean length5.108402
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 3175
55.7%
폐업 1842
32.3%
취소/말소/만료/정지/중지 683
 
12.0%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:46.761115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:46.853529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3175
55.7%
폐업 1842
32.3%
취소/말소/만료/정지/중지 683
 
12.0%
휴업 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
11
2021 
2
1842 
1
1155 
4
683 

Length

Max length2
Median length1
Mean length1.3544992
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2021
35.4%
2 1842
32.3%
1 1155
20.3%
4 683
 
12.0%

Length

2024-04-17T14:01:46.949413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:47.035296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2021
35.4%
2 1842
32.3%
1 1155
20.3%
4 683
 
12.0%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
영업
3175 
폐업
1842 
폐쇄
683 
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 3175
55.7%
폐업 1842
32.3%
폐쇄 683
 
12.0%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:47.126624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:47.209702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3175
55.7%
폐업 1842
32.3%
폐쇄 683
 
12.0%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1369
Distinct (%)61.4%
Missing3471
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean20095816
Minimum19910424
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:47.310574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910424
5-th percentile20020212
Q120050826
median20091231
Q320140124
95-th percentile20191218
Maximum20210127
Range299703
Interquartile range (IQR)89297

Descriptive statistics

Standard deviation54251.948
Coefficient of variation (CV)0.0026996638
Kurtosis-0.57985524
Mean20095816
Median Absolute Deviation (MAD)40508
Skewness0.24191465
Sum4.481367 × 1010
Variance2.9432738 × 109
MonotonicityNot monotonic
2024-04-17T14:01:47.432907image/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%
20040610 6
 
0.1%
20130201 6
 
0.1%
20040630 6
 
0.1%
Other values (1359) 1830
32.1%
(Missing) 3471
60.9%
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 (%)
20210127 1
 
< 0.1%
20210126 2
 
< 0.1%
20210122 1
 
< 0.1%
20210118 1
 
< 0.1%
20210114 1
 
< 0.1%
20210113 1
 
< 0.1%
20201231 5
0.1%
20201223 1
 
< 0.1%
20201215 1
 
< 0.1%
20201208 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
<NA>
5700 
20200101
 
1

Length

Max length8
Median length4
Mean length4.0007016
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> 5700
> 99.9%
20200101 1
 
< 0.1%

Length

2024-04-17T14:01:47.555798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:47.645634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5700
> 99.9%
20200101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
<NA>
5700 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0007016
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> 5700
> 99.9%
20201231 1
 
< 0.1%

Length

2024-04-17T14:01:47.734480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:47.820866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5700
> 99.9%
20201231 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5701
Missing (%)100.0%
Memory size50.2 KiB

소재지전화
Text

MISSING 

Distinct4046
Distinct (%)90.0%
Missing1207
Missing (%)21.2%
Memory size44.7 KiB
2024-04-17T14:01:47.995845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.496885
Min length3

Characters and Unicode

Total characters47173
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

Unique3645 ?
Unique (%)81.1%

Sample

1st row051-441-2340
2nd row442-4521
3rd row462-8281
4th row465-8801
5th row260-5110
ValueCountFrequency (%)
051 1257
 
20.4%
301 27
 
0.4%
304 17
 
0.3%
051263 17
 
0.3%
263 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 (4147) 4773
77.3%
2024-04-17T14:01:48.320117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8253
17.5%
0 7714
16.4%
5 6793
14.4%
3 4725
10.0%
2 4477
9.5%
6 2774
 
5.9%
8 2510
 
5.3%
4 2385
 
5.1%
7 2355
 
5.0%
- 1892
 
4.0%
Other values (4) 3295
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43586
92.4%
Dash Punctuation 1892
 
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 8253
18.9%
0 7714
17.7%
5 6793
15.6%
3 4725
10.8%
2 4477
10.3%
6 2774
 
6.4%
8 2510
 
5.8%
4 2385
 
5.5%
7 2355
 
5.4%
9 1600
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1892
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 47173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8253
17.5%
0 7714
16.4%
5 6793
14.4%
3 4725
10.0%
2 4477
9.5%
6 2774
 
5.9%
8 2510
 
5.3%
4 2385
 
5.1%
7 2355
 
5.0%
- 1892
 
4.0%
Other values (4) 3295
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8253
17.5%
0 7714
16.4%
5 6793
14.4%
3 4725
10.0%
2 4477
9.5%
6 2774
 
5.9%
8 2510
 
5.3%
4 2385
 
5.1%
7 2355
 
5.0%
- 1892
 
4.0%
Other values (4) 3295
 
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5701
Missing (%)100.0%
Memory size50.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)23.3%
Missing4735
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean612111.1
Minimum600010
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:48.452369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600010
5-th percentile602030
Q1604846
median613111
Q3617814
95-th percentile617844
Maximum619963
Range19953
Interquartile range (IQR)12968

Descriptive statistics

Standard deviation6099.8969
Coefficient of variation (CV)0.0099653428
Kurtosis-1.3735509
Mean612111.1
Median Absolute Deviation (MAD)4712
Skewness-0.43687531
Sum5.9129932 × 108
Variance37208742
MonotonicityNot monotonic
2024-04-17T14:01:48.576986image/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) 646
 
11.3%
(Missing) 4735
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 

Distinct4478
Distinct (%)81.0%
Missing171
Missing (%)3.0%
Memory size44.7 KiB
2024-04-17T14:01:48.890740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length21.46962
Min length12

Characters and Unicode

Total characters118727
Distinct characters282
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

Unique3744 ?
Unique (%)67.7%

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 5528
24.2%
사상구 2351
 
10.3%
사하구 1126
 
4.9%
강서구 773
 
3.4%
송정동 753
 
3.3%
학장동 732
 
3.2%
감전동 614
 
2.7%
장림동 510
 
2.2%
삼락동 402
 
1.8%
기장군 302
 
1.3%
Other values (4397) 9724
42.6%
2024-04-17T14:01:49.322648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18670
 
15.7%
5855
 
4.9%
5709
 
4.8%
5561
 
4.7%
5546
 
4.7%
5534
 
4.7%
5444
 
4.6%
1 5349
 
4.5%
5347
 
4.5%
- 4826
 
4.1%
Other values (272) 50886
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70729
59.6%
Decimal Number 24388
 
20.5%
Space Separator 18670
 
15.7%
Dash Punctuation 4826
 
4.1%
Other Punctuation 53
 
< 0.1%
Close Punctuation 22
 
< 0.1%
Open Punctuation 22
 
< 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 (%)
5855
 
8.3%
5709
 
8.1%
5561
 
7.9%
5546
 
7.8%
5534
 
7.8%
5444
 
7.7%
5347
 
7.6%
3954
 
5.6%
3875
 
5.5%
3620
 
5.1%
Other values (247) 20284
28.7%
Decimal Number
ValueCountFrequency (%)
1 5349
21.9%
2 2834
11.6%
5 2574
10.6%
3 2322
9.5%
7 2117
 
8.7%
6 1968
 
8.1%
0 1939
 
8.0%
4 1920
 
7.9%
8 1777
 
7.3%
9 1588
 
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%
E 1
 
6.7%
S 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
18670
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70729
59.6%
Common 47982
40.4%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5855
 
8.3%
5709
 
8.1%
5561
 
7.9%
5546
 
7.8%
5534
 
7.8%
5444
 
7.7%
5347
 
7.6%
3954
 
5.6%
3875
 
5.5%
3620
 
5.1%
Other values (247) 20284
28.7%
Common
ValueCountFrequency (%)
18670
38.9%
1 5349
 
11.1%
- 4826
 
10.1%
2 2834
 
5.9%
5 2574
 
5.4%
3 2322
 
4.8%
7 2117
 
4.4%
6 1968
 
4.1%
0 1939
 
4.0%
4 1920
 
4.0%
Other values (7) 3463
 
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%
E 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70729
59.6%
ASCII 47998
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18670
38.9%
1 5349
 
11.1%
- 4826
 
10.1%
2 2834
 
5.9%
5 2574
 
5.4%
3 2322
 
4.8%
7 2117
 
4.4%
6 1968
 
4.1%
0 1939
 
4.0%
4 1920
 
4.0%
Other values (15) 3479
 
7.2%
Hangul
ValueCountFrequency (%)
5855
 
8.3%
5709
 
8.1%
5561
 
7.9%
5546
 
7.8%
5534
 
7.8%
5444
 
7.7%
5347
 
7.6%
3954
 
5.6%
3875
 
5.5%
3620
 
5.1%
Other values (247) 20284
28.7%

도로명전체주소
Text

MISSING 

Distinct3359
Distinct (%)79.6%
Missing1482
Missing (%)26.0%
Memory size44.7 KiB
2024-04-17T14:01:49.626331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length26.773406
Min length19

Characters and Unicode

Total characters112957
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

Unique2772 ?
Unique (%)65.7%

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 4217
 
19.7%
사상구 1909
 
8.9%
사하구 780
 
3.6%
감전동 471
 
2.2%
학장동 455
 
2.1%
삼락동 402
 
1.9%
강서구 388
 
1.8%
장림동 370
 
1.7%
송정동 364
 
1.7%
기장군 278
 
1.3%
Other values (2097) 11799
55.1%
2024-04-17T14:01:50.029808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17684
 
15.7%
5536
 
4.9%
4864
 
4.3%
4380
 
3.9%
4306
 
3.8%
4289
 
3.8%
4221
 
3.7%
4119
 
3.6%
4068
 
3.6%
) 4011
 
3.6%
Other values (374) 55479
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68541
60.7%
Decimal Number 17801
 
15.8%
Space Separator 17684
 
15.7%
Close Punctuation 4011
 
3.6%
Open Punctuation 4011
 
3.6%
Dash Punctuation 562
 
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 (%)
5536
 
8.1%
4864
 
7.1%
4380
 
6.4%
4306
 
6.3%
4289
 
6.3%
4221
 
6.2%
4119
 
6.0%
4068
 
5.9%
3192
 
4.7%
2363
 
3.4%
Other values (344) 27203
39.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
15.2%
A 6
13.0%
B 6
13.0%
S 6
13.0%
K 5
10.9%
Y 3
6.5%
E 3
6.5%
H 3
6.5%
P 2
 
4.3%
M 2
 
4.3%
Other values (2) 3
6.5%
Decimal Number
ValueCountFrequency (%)
1 3418
19.2%
2 2524
14.2%
3 2204
12.4%
4 1694
9.5%
6 1560
8.8%
5 1542
8.7%
7 1407
7.9%
0 1218
 
6.8%
9 1167
 
6.6%
8 1067
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 298
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17684
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4011
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4011
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 562
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68541
60.7%
Common 44369
39.3%
Latin 47
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5536
 
8.1%
4864
 
7.1%
4380
 
6.4%
4306
 
6.3%
4289
 
6.3%
4221
 
6.2%
4119
 
6.0%
4068
 
5.9%
3192
 
4.7%
2363
 
3.4%
Other values (344) 27203
39.7%
Common
ValueCountFrequency (%)
17684
39.9%
) 4011
 
9.0%
( 4011
 
9.0%
1 3418
 
7.7%
2 2524
 
5.7%
3 2204
 
5.0%
4 1694
 
3.8%
6 1560
 
3.5%
5 1542
 
3.5%
7 1407
 
3.2%
Other values (7) 4314
 
9.7%
Latin
ValueCountFrequency (%)
C 7
14.9%
A 6
12.8%
B 6
12.8%
S 6
12.8%
K 5
10.6%
Y 3
6.4%
E 3
6.4%
H 3
6.4%
P 2
 
4.3%
M 2
 
4.3%
Other values (3) 4
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68541
60.7%
ASCII 44416
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17684
39.8%
) 4011
 
9.0%
( 4011
 
9.0%
1 3418
 
7.7%
2 2524
 
5.7%
3 2204
 
5.0%
4 1694
 
3.8%
6 1560
 
3.5%
5 1542
 
3.5%
7 1407
 
3.2%
Other values (20) 4361
 
9.8%
Hangul
ValueCountFrequency (%)
5536
 
8.1%
4864
 
7.1%
4380
 
6.4%
4306
 
6.3%
4289
 
6.3%
4221
 
6.2%
4119
 
6.0%
4068
 
5.9%
3192
 
4.7%
2363
 
3.4%
Other values (344) 27203
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct487
Distinct (%)17.3%
Missing2890
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean472643.32
Minimum6151
Maximum621270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:50.172419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6151
5-th percentile46751.5
Q149499.5
median617805
Q3617826
95-th percentile618270
Maximum621270
Range615119
Interquartile range (IQR)568326.5

Descriptive statistics

Standard deviation247775.03
Coefficient of variation (CV)0.52423258
Kurtosis-0.71685302
Mean472643.32
Median Absolute Deviation (MAD)38
Skewness-1.1327012
Sum1.3286004 × 109
Variance6.1392465 × 1010
MonotonicityNot monotonic
2024-04-17T14:01:50.314644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
617825 191
 
3.4%
617814 191
 
3.4%
617843 174
 
3.1%
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 (477) 1455
25.5%
(Missing) 2890
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 6
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%
619906 2
 
< 0.1%
619873 1
 
< 0.1%
Distinct4459
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
2024-04-17T14:01:50.524335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.9721102
Min length1

Characters and Unicode

Total characters39748
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

Unique3527 ?
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 15
 
0.2%
2공장 10
 
0.2%
부산지점 9
 
0.1%
대진금속 9
 
0.1%
부산광역시 9
 
0.1%
대신금속 9
 
0.1%
영진금속 9
 
0.1%
대영산업 9
 
0.1%
Other values (4590) 6008
97.8%
2024-04-17T14:01:50.858674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2654
 
6.7%
) 2565
 
6.5%
( 2553
 
6.4%
1458
 
3.7%
1184
 
3.0%
1034
 
2.6%
987
 
2.5%
825
 
2.1%
763
 
1.9%
682
 
1.7%
Other values (602) 25043
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33332
83.9%
Close Punctuation 2566
 
6.5%
Open Punctuation 2554
 
6.4%
Uppercase Letter 446
 
1.1%
Space Separator 442
 
1.1%
Decimal Number 247
 
0.6%
Other Punctuation 77
 
0.2%
Lowercase Letter 39
 
0.1%
Other Symbol 38
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2654
 
8.0%
1458
 
4.4%
1184
 
3.6%
1034
 
3.1%
987
 
3.0%
825
 
2.5%
763
 
2.3%
682
 
2.0%
638
 
1.9%
608
 
1.8%
Other values (535) 22499
67.5%
Uppercase Letter
ValueCountFrequency (%)
S 59
13.2%
C 53
 
11.9%
T 47
 
10.5%
M 30
 
6.7%
E 25
 
5.6%
P 24
 
5.4%
G 19
 
4.3%
O 19
 
4.3%
R 18
 
4.0%
N 18
 
4.0%
Other values (13) 134
30.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
12.8%
r 4
 
10.3%
s 3
 
7.7%
c 3
 
7.7%
e 3
 
7.7%
i 2
 
5.1%
t 2
 
5.1%
m 2
 
5.1%
y 2
 
5.1%
l 2
 
5.1%
Other values (8) 11
28.2%
Decimal Number
ValueCountFrequency (%)
2 98
39.7%
1 72
29.1%
3 34
 
13.8%
0 14
 
5.7%
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 (%)
. 43
55.8%
& 18
23.4%
, 8
 
10.4%
/ 2
 
2.6%
; 2
 
2.6%
1
 
1.3%
# 1
 
1.3%
· 1
 
1.3%
' 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 2565
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2553
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
442
100.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33369
84.0%
Common 5893
 
14.8%
Latin 485
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2654
 
8.0%
1458
 
4.4%
1184
 
3.5%
1034
 
3.1%
987
 
3.0%
825
 
2.5%
763
 
2.3%
682
 
2.0%
638
 
1.9%
608
 
1.8%
Other values (535) 22536
67.5%
Latin
ValueCountFrequency (%)
S 59
 
12.2%
C 53
 
10.9%
T 47
 
9.7%
M 30
 
6.2%
E 25
 
5.2%
P 24
 
4.9%
G 19
 
3.9%
O 19
 
3.9%
R 18
 
3.7%
N 18
 
3.7%
Other values (31) 173
35.7%
Common
ValueCountFrequency (%)
) 2565
43.5%
( 2553
43.3%
442
 
7.5%
2 98
 
1.7%
1 72
 
1.2%
. 43
 
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 33325
83.8%
ASCII 6376
 
16.0%
None 40
 
0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2654
 
8.0%
1458
 
4.4%
1184
 
3.6%
1034
 
3.1%
987
 
3.0%
825
 
2.5%
763
 
2.3%
682
 
2.0%
638
 
1.9%
608
 
1.8%
Other values (529) 22492
67.5%
ASCII
ValueCountFrequency (%)
) 2565
40.2%
( 2553
40.0%
442
 
6.9%
2 98
 
1.5%
1 72
 
1.1%
S 59
 
0.9%
C 53
 
0.8%
T 47
 
0.7%
. 43
 
0.7%
3 34
 
0.5%
Other values (54) 410
 
6.4%
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)

Distinct5700
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.013299 × 1013
Minimum2.0000818 × 1013
Maximum2.0210131 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:50.980757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000818 × 1013
5-th percentile2.0041112 × 1013
Q12.0070212 × 1013
median2.0150821 × 1013
Q32.0190725 × 1013
95-th percentile2.0201124 × 1013
Maximum2.0210131 × 1013
Range2.0931305 × 1011
Interquartile range (IQR)1.2051303 × 1011

Descriptive statistics

Standard deviation6.0449259 × 1010
Coefficient of variation (CV)0.0030024978
Kurtosis-1.4316397
Mean2.013299 × 1013
Median Absolute Deviation (MAD)4.0308073 × 1010
Skewness-0.37168045
Sum1.1477818 × 1017
Variance3.6541129 × 1021
MonotonicityNot monotonic
2024-04-17T14:01:51.096263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051126144103 2
 
< 0.1%
20200324152922 1
 
< 0.1%
20030602155812 1
 
< 0.1%
20020828125327 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%
Other values (5690) 5690
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 (%)
20210131180128 1
< 0.1%
20210129194228 1
< 0.1%
20210129193405 1
< 0.1%
20210129181326 1
< 0.1%
20210129155110 1
< 0.1%
20210128173757 1
< 0.1%
20210128161514 1
< 0.1%
20210127181057 1
< 0.1%
20210127180851 1
< 0.1%
20210127172329 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
I
3738 
U
1963 

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 3738
65.6%
U 1963
34.4%

Length

2024-04-17T14:01:51.201130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:51.274848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3738
65.6%
u 1963
34.4%
Distinct603
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
Minimum2018-09-06 23:59:59
Maximum2021-02-02 02:40:00
2024-04-17T14:01:51.359417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:01:51.475170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct447
Distinct (%)17.8%
Missing3193
Missing (%)56.0%
Memory size44.7 KiB
2024-04-17T14:01:51.758972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.852472
Min length2

Characters and Unicode

Total characters27218
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 1104
 
14.3%
815
 
10.6%
기타 549
 
7.1%
자동차 319
 
4.1%
도금업 290
 
3.8%
수리업 209
 
2.7%
조립금속제품 197
 
2.6%
종합 132
 
1.7%
그외 106
 
1.4%
제외 97
 
1.3%
Other values (581) 3891
50.5%
2024-04-17T14:01:52.463480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5202
19.1%
2442
 
9.0%
1936
 
7.1%
1490
 
5.5%
891
 
3.3%
836
 
3.1%
800
 
2.9%
781
 
2.9%
639
 
2.3%
573
 
2.1%
Other values (282) 11628
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21846
80.3%
Space Separator 5202
 
19.1%
Other Punctuation 155
 
0.6%
Decimal Number 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2442
 
11.2%
1936
 
8.9%
1490
 
6.8%
891
 
4.1%
836
 
3.8%
800
 
3.7%
781
 
3.6%
639
 
2.9%
573
 
2.6%
468
 
2.1%
Other values (277) 10990
50.3%
Other Punctuation
ValueCountFrequency (%)
, 140
90.3%
· 10
 
6.5%
; 5
 
3.2%
Space Separator
ValueCountFrequency (%)
5202
100.0%
Decimal Number
ValueCountFrequency (%)
1 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21846
80.3%
Common 5372
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2442
 
11.2%
1936
 
8.9%
1490
 
6.8%
891
 
4.1%
836
 
3.8%
800
 
3.7%
781
 
3.6%
639
 
2.9%
573
 
2.6%
468
 
2.1%
Other values (277) 10990
50.3%
Common
ValueCountFrequency (%)
5202
96.8%
, 140
 
2.6%
1 15
 
0.3%
· 10
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21846
80.3%
ASCII 5362
 
19.7%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5202
97.0%
, 140
 
2.6%
1 15
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2442
 
11.2%
1936
 
8.9%
1490
 
6.8%
891
 
4.1%
836
 
3.8%
800
 
3.7%
781
 
3.6%
639
 
2.9%
573
 
2.6%
468
 
2.1%
Other values (277) 10990
50.3%
None
ValueCountFrequency (%)
· 10
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3277
Distinct (%)75.2%
Missing1343
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean382601.39
Minimum203846.91
Maximum409312.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:52.588537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203846.91
5-th percentile368388.51
Q1379712.03
median380567.23
Q3385733.71
95-th percentile399156.18
Maximum409312.53
Range205465.62
Interquartile range (IQR)6021.6806

Descriptive statistics

Standard deviation8200.5638
Coefficient of variation (CV)0.021433701
Kurtosis52.023932
Mean382601.39
Median Absolute Deviation (MAD)1312.4153
Skewness-1.7890041
Sum1.6673769 × 109
Variance67249247
MonotonicityNot monotonic
2024-04-17T14:01:52.698659image/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 8
 
0.1%
380034.200316414 7
 
0.1%
380591.628634156 7
 
0.1%
393613.739814618 7
 
0.1%
380235.651842785 7
 
0.1%
380703.51173765 6
 
0.1%
378072.314730246 6
 
0.1%
Other values (3267) 4276
75.0%
(Missing) 1343
 
23.6%
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 

Distinct3276
Distinct (%)75.2%
Missing1343
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean185600.44
Minimum173992.31
Maximum444606.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:52.810555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173992.31
5-th percentile176512.53
Q1178749.65
median185150.85
Q3188959.19
95-th percentile203881.36
Maximum444606.04
Range270613.73
Interquartile range (IQR)10209.54

Descriptive statistics

Standard deviation8156.9939
Coefficient of variation (CV)0.043949215
Kurtosis233.11226
Mean185600.44
Median Absolute Deviation (MAD)4248.5658
Skewness7.9871469
Sum8.0884674 × 108
Variance66536549
MonotonicityNot monotonic
2024-04-17T14:01:52.929161image/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%
176748.47472086 9
 
0.2%
177890.747827327 8
 
0.1%
185009.709198951 7
 
0.1%
192493.751896833 7
 
0.1%
184629.104887058 7
 
0.1%
189366.88271546 7
 
0.1%
188472.71791768 6
 
0.1%
185078.704454017 6
 
0.1%
Other values (3266) 4276
75.0%
(Missing) 1343
 
23.6%
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
5701 

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 5701
100.0%

Length

2024-04-17T14:01:53.030370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:53.117026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5701
100.0%

업종구분명
Text

MISSING 

Distinct479
Distinct (%)15.8%
Missing2660
Missing (%)46.7%
Memory size44.7 KiB
2024-04-17T14:01:53.358614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.735942
Min length2

Characters and Unicode

Total characters32648
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 1354
 
14.7%
954
 
10.4%
기타 683
 
7.4%
도금업 393
 
4.3%
자동차 334
 
3.6%
조립금속제품 230
 
2.5%
수리업 220
 
2.4%
종합 136
 
1.5%
가공업 128
 
1.4%
그외 116
 
1.3%
Other values (609) 4645
50.5%
2024-04-17T14:01:53.749699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6153
18.8%
2983
 
9.1%
2452
 
7.5%
1877
 
5.7%
1079
 
3.3%
1056
 
3.2%
1004
 
3.1%
975
 
3.0%
712
 
2.2%
707
 
2.2%
Other values (283) 13650
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26302
80.6%
Space Separator 6153
 
18.8%
Other Punctuation 173
 
0.5%
Decimal Number 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2983
 
11.3%
2452
 
9.3%
1877
 
7.1%
1079
 
4.1%
1056
 
4.0%
1004
 
3.8%
975
 
3.7%
712
 
2.7%
707
 
2.7%
616
 
2.3%
Other values (278) 12841
48.8%
Other Punctuation
ValueCountFrequency (%)
, 156
90.2%
· 12
 
6.9%
; 5
 
2.9%
Space Separator
ValueCountFrequency (%)
6153
100.0%
Decimal Number
ValueCountFrequency (%)
1 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26302
80.6%
Common 6346
 
19.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2983
 
11.3%
2452
 
9.3%
1877
 
7.1%
1079
 
4.1%
1056
 
4.0%
1004
 
3.8%
975
 
3.7%
712
 
2.7%
707
 
2.7%
616
 
2.3%
Other values (278) 12841
48.8%
Common
ValueCountFrequency (%)
6153
97.0%
, 156
 
2.5%
1 20
 
0.3%
· 12
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26302
80.6%
ASCII 6334
 
19.4%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6153
97.1%
, 156
 
2.5%
1 20
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2983
 
11.3%
2452
 
9.3%
1877
 
7.1%
1079
 
4.1%
1056
 
4.0%
1004
 
3.8%
975
 
3.7%
712
 
2.7%
707
 
2.7%
616
 
2.3%
Other values (278) 12841
48.8%
None
ValueCountFrequency (%)
· 12
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
5종
3170 
4종
1842 
3종
 
316
2종
 
187
<NA>
 
132

Length

Max length4
Median length2
Mean length2.0463077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 3170
55.6%
4종 1842
32.3%
3종 316
 
5.5%
2종 187
 
3.3%
<NA> 132
 
2.3%
1종 54
 
0.9%

Length

2024-04-17T14:01:53.874475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:53.968443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 3170
55.6%
4종 1842
32.3%
3종 316
 
5.5%
2종 187
 
3.3%
na 132
 
2.3%
1종 54
 
0.9%

주생산품명
Text

MISSING 

Distinct556
Distinct (%)68.0%
Missing4883
Missing (%)85.7%
Memory size44.7 KiB
2024-04-17T14:01:54.211744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length6.1882641
Min length1

Characters and Unicode

Total characters5062
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

Unique446 ?
Unique (%)54.5%

Sample

1st row하수처리수
2nd row180111-0003896
3rd row자동차
4th row탁주
5th row자동차
ValueCountFrequency (%)
도금된 49
 
4.7%
자동차부품 32
 
3.1%
자동차 27
 
2.6%
산업기계부품 23
 
2.2%
도금된자동차부품 15
 
1.4%
13
 
1.2%
금속제품 13
 
1.2%
기계부품 12
 
1.2%
11
 
1.1%
도금 9
 
0.9%
Other values (580) 836
80.4%
2024-04-17T14:01:54.613082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
5.8%
222
 
4.4%
213
 
4.2%
185
 
3.7%
182
 
3.6%
163
 
3.2%
149
 
2.9%
149
 
2.9%
140
 
2.8%
125
 
2.5%
Other values (377) 3240
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4392
86.8%
Space Separator 222
 
4.4%
Uppercase Letter 191
 
3.8%
Lowercase Letter 93
 
1.8%
Decimal Number 72
 
1.4%
Other Punctuation 55
 
1.1%
Close Punctuation 14
 
0.3%
Open Punctuation 14
 
0.3%
Dash Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
185
 
4.2%
182
 
4.1%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.8%
103
 
2.3%
Other values (315) 2689
61.2%
Uppercase Letter
ValueCountFrequency (%)
E 27
14.1%
L 17
 
8.9%
P 16
 
8.4%
C 14
 
7.3%
A 12
 
6.3%
I 12
 
6.3%
S 12
 
6.3%
T 12
 
6.3%
R 11
 
5.8%
H 10
 
5.2%
Other values (12) 48
25.1%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.1%
t 11
11.8%
a 8
 
8.6%
r 8
 
8.6%
s 6
 
6.5%
h 5
 
5.4%
b 5
 
5.4%
p 5
 
5.4%
y 4
 
4.3%
l 3
 
3.2%
Other values (12) 23
24.7%
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%
9 4
 
5.6%
8 4
 
5.6%
7 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 51
92.7%
. 2
 
3.6%
/ 1
 
1.8%
& 1
 
1.8%
Space Separator
ValueCountFrequency (%)
222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4392
86.8%
Common 386
 
7.6%
Latin 284
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
185
 
4.2%
182
 
4.1%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.8%
103
 
2.3%
Other values (315) 2689
61.2%
Latin
ValueCountFrequency (%)
E 27
 
9.5%
L 17
 
6.0%
P 16
 
5.6%
e 15
 
5.3%
C 14
 
4.9%
A 12
 
4.2%
I 12
 
4.2%
S 12
 
4.2%
T 12
 
4.2%
t 11
 
3.9%
Other values (34) 136
47.9%
Common
ValueCountFrequency (%)
222
57.5%
, 51
 
13.2%
1 18
 
4.7%
) 14
 
3.6%
( 14
 
3.6%
3 10
 
2.6%
0 10
 
2.6%
- 9
 
2.3%
6 7
 
1.8%
2 6
 
1.6%
Other values (8) 25
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4392
86.8%
ASCII 670
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.8%
185
 
4.2%
182
 
4.1%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.8%
103
 
2.3%
Other values (315) 2689
61.2%
ASCII
ValueCountFrequency (%)
222
33.1%
, 51
 
7.6%
E 27
 
4.0%
1 18
 
2.7%
L 17
 
2.5%
P 16
 
2.4%
e 15
 
2.2%
C 14
 
2.1%
) 14
 
2.1%
( 14
 
2.1%
Other values (52) 262
39.1%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct170
Distinct (%)3.5%
Missing860
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean6.8919934
Minimum0
Maximum365
Zeros1062
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:54.730645image/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 deviation7.7914944
Coefficient of variation (CV)1.1305139
Kurtosis925.8403
Mean6.8919934
Median Absolute Deviation (MAD)1
Skewness20.942547
Sum33364.14
Variance60.707384
MonotonicityNot monotonic
2024-04-17T14:01:54.849538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 2265
39.7%
0.0 1062
18.6%
24.0 196
 
3.4%
2.0 191
 
3.4%
4.0 141
 
2.5%
6.0 124
 
2.2%
10.0 114
 
2.0%
3.0 87
 
1.5%
5.0 66
 
1.2%
12.0 62
 
1.1%
Other values (160) 533
 
9.3%
(Missing) 860
 
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 (%)3.8%
Missing1279
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean221.87607
Minimum0
Maximum365
Zeros1036
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:54.968586image/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 deviation129.22258
Coefficient of variation (CV)0.58240879
Kurtosis-0.76764626
Mean221.87607
Median Absolute Deviation (MAD)0
Skewness-1.0531311
Sum981136
Variance16698.474
MonotonicityNot monotonic
2024-04-17T14:01:55.085973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2642
46.3%
0 1036
 
18.2%
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) 1279
22.4%
ValueCountFrequency (%)
0 1036
18.2%
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%
Missing2212
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean6.2973517
Minimum0
Maximum310
Zeros1116
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:55.215507image/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 deviation13.459361
Coefficient of variation (CV)2.1373049
Kurtosis341.88569
Mean6.2973517
Median Absolute Deviation (MAD)4
Skewness16.687545
Sum21971.46
Variance181.15439
MonotonicityNot monotonic
2024-04-17T14:01:55.331348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 1403
24.6%
0.0 1116
19.6%
2.0 175
 
3.1%
24.0 128
 
2.2%
4.0 106
 
1.9%
6.0 104
 
1.8%
3.0 72
 
1.3%
10.0 57
 
1.0%
5.0 46
 
0.8%
12.0 36
 
0.6%
Other values (67) 246
 
4.3%
(Missing) 2212
38.8%
ValueCountFrequency (%)
0.0 1116
19.6%
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%
Missing1969
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean202.98794
Minimum0
Maximum365
Zeros1118
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2024-04-17T14:01:55.446234image/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 deviation138.74931
Coefficient of variation (CV)0.68353475
Kurtosis-1.3921179
Mean202.98794
Median Absolute Deviation (MAD)0
Skewness-0.7167167
Sum757551
Variance19251.372
MonotonicityNot monotonic
2024-04-17T14:01:55.558878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2042
35.8%
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) 1969
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 

Missing5701
Missing (%)100.0%
Memory size50.2 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
56915692대기오염물질배출시설설치사업장09_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>
56925693대기오염물질배출시설설치사업장09_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>
56935694대기오염물질배출시설설치사업장09_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>
56945695대기오염물질배출시설설치사업장09_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>
56955696대기오염물질배출시설설치사업장09_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>
56965697대기오염물질배출시설설치사업장09_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>
56975698대기오염물질배출시설설치사업장09_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>
56985699대기오염물질배출시설설치사업장09_30_08_P333000033300002120000000520041112<NA>4취소/말소/만료/정지/중지4폐쇄20041112<NA><NA><NA>005105232111<NA>612060부산광역시 해운대구 반여동 1430-1번지<NA><NA>(주)대우20041112100157I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>2종<NA>0.000.00<NA>
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