Overview

Dataset statistics

Number of variables37
Number of observations5684
Missing cells56435
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

Description2021-01-04
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 5684 (100.0%) missing valuesMissing
폐업일자 has 3461 (60.9%) missing valuesMissing
재개업일자 has 5684 (100.0%) missing valuesMissing
소재지전화 has 1202 (21.1%) missing valuesMissing
소재지면적 has 5684 (100.0%) missing valuesMissing
소재지우편번호 has 4716 (83.0%) missing valuesMissing
소재지전체주소 has 171 (3.0%) missing valuesMissing
도로명전체주소 has 1482 (26.1%) missing valuesMissing
도로명우편번호 has 2885 (50.8%) missing valuesMissing
업태구분명 has 3193 (56.2%) missing valuesMissing
좌표정보(x) has 1343 (23.6%) missing valuesMissing
좌표정보(y) has 1343 (23.6%) missing valuesMissing
업종구분명 has 2660 (46.8%) missing valuesMissing
주생산품명 has 4867 (85.6%) missing valuesMissing
배출시설조업시간 has 858 (15.1%) missing valuesMissing
배출시설연간가동일수 has 1276 (22.4%) missing valuesMissing
방지시설조업시간 has 2208 (38.8%) missing valuesMissing
방지시설연간가동일수 has 1968 (34.6%) missing valuesMissing
Unnamed: 36 has 5684 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -43.35944339)Skewed
배출시설조업시간 is highly skewed (γ1 = 21.08989653)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 (18.7%) zerosZeros
배출시설연간가동일수 has 1036 (18.2%) zerosZeros
방지시설조업시간 has 1116 (19.6%) zerosZeros
방지시설연간가동일수 has 1118 (19.7%) zerosZeros

Reproduction

Analysis started2024-04-17 05:02:12.801135
Analysis finished2024-04-17 05:02:14.451065
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5684
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2842.5
Minimum1
Maximum5684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:14.512945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile285.15
Q11421.75
median2842.5
Q34263.25
95-th percentile5399.85
Maximum5684
Range5683
Interquartile range (IQR)2841.5

Descriptive statistics

Standard deviation1640.9738
Coefficient of variation (CV)0.57729949
Kurtosis-1.2
Mean2842.5
Median Absolute Deviation (MAD)1421
Skewness0
Sum16156770
Variance2692795
MonotonicityStrictly increasing
2024-04-17T14:02:14.629148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3821 1
 
< 0.1%
3797 1
 
< 0.1%
3796 1
 
< 0.1%
3795 1
 
< 0.1%
3794 1
 
< 0.1%
3793 1
 
< 0.1%
3792 1
 
< 0.1%
3791 1
 
< 0.1%
3790 1
 
< 0.1%
Other values (5674) 5674
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 (%)
5684 1
< 0.1%
5683 1
< 0.1%
5682 1
< 0.1%
5681 1
< 0.1%
5680 1
< 0.1%
5679 1
< 0.1%
5678 1
< 0.1%
5677 1
< 0.1%
5676 1
< 0.1%
5675 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
대기오염물질배출시설설치사업장
5684 

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 5684
100.0%

Length

2024-04-17T14:02:14.741418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:14.818183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5684
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
09_30_08_P
5684 

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 5684
100.0%

Length

2024-04-17T14:02:14.900498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:14.977831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5684
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979639.3
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:15.050686image/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 deviation1187052.6
Coefficient of variation (CV)0.29828146
Kurtosis-0.037632378
Mean3979639.3
Median Absolute Deviation (MAD)40000
Skewness1.3992847
Sum2.262027 × 1010
Variance1.409094 × 1012
MonotonicityNot monotonic
2024-04-17T14:02:15.143006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3390000 1931
34.0%
6260000 1211
21.3%
3340000 827
14.5%
3360000 326
 
5.7%
3400000 320
 
5.6%
3350000 234
 
4.1%
3330000 180
 
3.2%
3280000 117
 
2.1%
3290000 91
 
1.6%
3370000 79
 
1.4%
Other values (7) 368
 
6.5%
ValueCountFrequency (%)
3250000 33
 
0.6%
3260000 42
 
0.7%
3270000 58
 
1.0%
3280000 117
 
2.1%
3290000 91
 
1.6%
3300000 60
 
1.1%
3310000 73
 
1.3%
3320000 52
 
0.9%
3330000 180
 
3.2%
3340000 827
14.5%
ValueCountFrequency (%)
6260000 1211
21.3%
3400000 320
 
5.6%
3390000 1931
34.0%
3380000 50
 
0.9%
3370000 79
 
1.4%
3360000 326
 
5.7%
3350000 234
 
4.1%
3340000 827
14.5%
3330000 180
 
3.2%
3320000 52
 
0.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5684
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9796395 × 1017
Minimum3.2500002 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:15.276321image/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 deviation1.1870526 × 1017
Coefficient of variation (CV)0.29828143
Kurtosis-0.037632379
Mean3.9796395 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness1.3992847
Sum-6.9224248 × 1018
Variance1.4090938 × 1034
MonotonicityNot monotonic
2024-04-17T14:02:15.394624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000021202000001 1
 
< 0.1%
334000021197618004 1
 
< 0.1%
334000021200025418 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%
Other values (5674) 5674
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 

Distinct3286
Distinct (%)58.5%
Missing66
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean20029323
Minimum198706
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:15.516936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198706
5-th percentile19910426
Q120000328
median20040521
Q320090384
95-th percentile20170836
Maximum20201231
Range20002525
Interquartile range (IQR)90055.5

Descriptive statistics

Standard deviation392687.27
Coefficient of variation (CV)0.019605619
Kurtosis2031.5749
Mean20029323
Median Absolute Deviation (MAD)40582
Skewness-43.359443
Sum1.1252474 × 1011
Variance1.5420329 × 1011
MonotonicityNot monotonic
2024-04-17T14:02:15.646451image/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%
20081031 19
 
0.3%
20040701 19
 
0.3%
20080714 17
 
0.3%
20000323 16
 
0.3%
20080925 14
 
0.2%
Other values (3276) 5396
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 (%)
20201231 1
< 0.1%
20201230 1
< 0.1%
20201228 1
< 0.1%
20201224 1
< 0.1%
20201220 1
< 0.1%
20201218 1
< 0.1%
20201216 1
< 0.1%
20201215 1
< 0.1%
20201214 1
< 0.1%
20201211 2
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5684
Missing (%)100.0%
Memory size50.1 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
1
3165 
3
1842 
4
676 
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 3165
55.7%
3 1842
32.4%
4 676
 
11.9%
2 1
 
< 0.1%

Length

2024-04-17T14:02:15.769651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:15.854243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3165
55.7%
3 1842
32.4%
4 676
 
11.9%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
영업/정상
3165 
폐업
1842 
취소/말소/만료/정지/중지
676 
휴업
 
1

Length

Max length14
Median length5
Mean length5.0976425
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 3165
55.7%
폐업 1842
32.4%
취소/말소/만료/정지/중지 676
 
11.9%
휴업 1
 
< 0.1%

Length

2024-04-17T14:02:15.948194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:16.038471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3165
55.7%
폐업 1842
32.4%
취소/말소/만료/정지/중지 676
 
11.9%
휴업 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
11
2011 
2
1842 
1
1155 
4
676 

Length

Max length2
Median length1
Mean length1.3538001
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2011
35.4%
2 1842
32.4%
1 1155
20.3%
4 676
 
11.9%

Length

2024-04-17T14:02:16.133797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:16.225249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2011
35.4%
2 1842
32.4%
1 1155
20.3%
4 676
 
11.9%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
영업
3165 
폐업
1842 
폐쇄
676 
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 3165
55.7%
폐업 1842
32.4%
폐쇄 676
 
11.9%
휴업 1
 
< 0.1%

Length

2024-04-17T14:02:16.323513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:16.409566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3165
55.7%
폐업 1842
32.4%
폐쇄 676
 
11.9%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1364
Distinct (%)61.4%
Missing3461
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean20095456
Minimum19910424
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:16.513397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910424
5-th percentile20020207
Q120050810
median20091231
Q320140108
95-th percentile20191118
Maximum20201231
Range290807
Interquartile range (IQR)89297.5

Descriptive statistics

Standard deviation53955.783
Coefficient of variation (CV)0.0026849743
Kurtosis-0.57601434
Mean20095456
Median Absolute Deviation (MAD)40423
Skewness0.23672566
Sum4.4672199 × 1010
Variance2.9112265 × 109
MonotonicityNot monotonic
2024-04-17T14:02:16.634104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091231 310
 
5.5%
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 (1354) 1823
32.1%
(Missing) 3461
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 (%)
20201231 5
0.1%
20201223 1
 
< 0.1%
20201215 1
 
< 0.1%
20201208 1
 
< 0.1%
20201202 1
 
< 0.1%
20201130 1
 
< 0.1%
20201127 1
 
< 0.1%
20201124 1
 
< 0.1%
20201116 1
 
< 0.1%
20201113 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
<NA>
5683 
20200101
 
1

Length

Max length8
Median length4
Mean length4.0007037
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> 5683
> 99.9%
20200101 1
 
< 0.1%

Length

2024-04-17T14:02:16.754692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:16.845073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5683
> 99.9%
20200101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
<NA>
5683 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0007037
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> 5683
> 99.9%
20201231 1
 
< 0.1%

Length

2024-04-17T14:02:16.936276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:17.041029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5683
> 99.9%
20201231 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5684
Missing (%)100.0%
Memory size50.1 KiB

소재지전화
Text

MISSING 

Distinct4038
Distinct (%)90.1%
Missing1202
Missing (%)21.1%
Memory size44.5 KiB
2024-04-17T14:02:17.221557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.495984
Min length3

Characters and Unicode

Total characters47043
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

Unique3640 ?
Unique (%)81.2%

Sample

1st row051-441-2340
2nd row442-4521
3rd row462-8281
4th row465-8801
5th row260-5110
ValueCountFrequency (%)
051 1258
 
20.4%
301 27
 
0.4%
051263 17
 
0.3%
263 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 (4139) 4761
77.3%
2024-04-17T14:02:17.538659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8225
17.5%
0 7695
16.4%
5 6783
14.4%
3 4712
10.0%
2 4462
9.5%
6 2771
 
5.9%
8 2501
 
5.3%
4 2383
 
5.1%
7 2349
 
5.0%
- 1875
 
4.0%
Other values (4) 3287
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43472
92.4%
Dash Punctuation 1875
 
4.0%
Space Separator 1691
 
3.6%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8225
18.9%
0 7695
17.7%
5 6783
15.6%
3 4712
10.8%
2 4462
10.3%
6 2771
 
6.4%
8 2501
 
5.8%
4 2383
 
5.5%
7 2349
 
5.4%
9 1591
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1875
100.0%
Space Separator
ValueCountFrequency (%)
1691
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47043
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8225
17.5%
0 7695
16.4%
5 6783
14.4%
3 4712
10.0%
2 4462
9.5%
6 2771
 
5.9%
8 2501
 
5.3%
4 2383
 
5.1%
7 2349
 
5.0%
- 1875
 
4.0%
Other values (4) 3287
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8225
17.5%
0 7695
16.4%
5 6783
14.4%
3 4712
10.0%
2 4462
9.5%
6 2771
 
5.9%
8 2501
 
5.3%
4 2383
 
5.1%
7 2349
 
5.0%
- 1875
 
4.0%
Other values (4) 3287
 
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5684
Missing (%)100.0%
Memory size50.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)23.2%
Missing4716
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean612108.66
Minimum600010
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:17.672658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600010
5-th percentile602030
Q1604845.75
median613111
Q3617814
95-th percentile617844
Maximum619963
Range19953
Interquartile range (IQR)12968.25

Descriptive statistics

Standard deviation6101.8941
Coefficient of variation (CV)0.0099686453
Kurtosis-1.3757709
Mean612108.66
Median Absolute Deviation (MAD)4712
Skewness-0.43589289
Sum5.9252118 × 108
Variance37233112
MonotonicityNot monotonic
2024-04-17T14:02:17.805860image/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) 648
 
11.4%
(Missing) 4716
83.0%
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 

Distinct4459
Distinct (%)80.9%
Missing171
Missing (%)3.0%
Memory size44.5 KiB
2024-04-17T14:02:18.134880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length21.479594
Min length12

Characters and Unicode

Total characters118417
Distinct characters277
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

Unique3725 ?
Unique (%)67.6%

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 5511
24.2%
사상구 2351
 
10.3%
사하구 1123
 
4.9%
강서구 766
 
3.4%
송정동 746
 
3.3%
학장동 732
 
3.2%
감전동 614
 
2.7%
장림동 509
 
2.2%
삼락동 402
 
1.8%
기장군 301
 
1.3%
Other values (4389) 9686
42.6%
2024-04-17T14:02:18.595922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18613
 
15.7%
5837
 
4.9%
5690
 
4.8%
5544
 
4.7%
5528
 
4.7%
5516
 
4.7%
5428
 
4.6%
5331
 
4.5%
1 5327
 
4.5%
- 4813
 
4.1%
Other values (267) 50790
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70571
59.6%
Decimal Number 24308
 
20.5%
Space Separator 18613
 
15.7%
Dash Punctuation 4813
 
4.1%
Other Punctuation 53
 
< 0.1%
Open Punctuation 21
 
< 0.1%
Close Punctuation 21
 
< 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 (%)
5837
 
8.3%
5690
 
8.1%
5544
 
7.9%
5528
 
7.8%
5516
 
7.8%
5428
 
7.7%
5331
 
7.6%
3992
 
5.7%
3914
 
5.5%
3617
 
5.1%
Other values (242) 20174
28.6%
Decimal Number
ValueCountFrequency (%)
1 5327
21.9%
2 2830
11.6%
5 2564
10.5%
3 2314
9.5%
7 2111
 
8.7%
6 1964
 
8.1%
0 1931
 
7.9%
4 1913
 
7.9%
8 1771
 
7.3%
9 1583
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
33.3%
B 4
26.7%
C 2
 
13.3%
M 1
 
6.7%
E 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
18613
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4813
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70571
59.6%
Common 47830
40.4%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5837
 
8.3%
5690
 
8.1%
5544
 
7.9%
5528
 
7.8%
5516
 
7.8%
5428
 
7.7%
5331
 
7.6%
3992
 
5.7%
3914
 
5.5%
3617
 
5.1%
Other values (242) 20174
28.6%
Common
ValueCountFrequency (%)
18613
38.9%
1 5327
 
11.1%
- 4813
 
10.1%
2 2830
 
5.9%
5 2564
 
5.4%
3 2314
 
4.8%
7 2111
 
4.4%
6 1964
 
4.1%
0 1931
 
4.0%
4 1913
 
4.0%
Other values (7) 3450
 
7.2%
Latin
ValueCountFrequency (%)
A 5
31.2%
B 4
25.0%
C 2
 
12.5%
M 1
 
6.2%
c 1
 
6.2%
E 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70571
59.6%
ASCII 47846
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18613
38.9%
1 5327
 
11.1%
- 4813
 
10.1%
2 2830
 
5.9%
5 2564
 
5.4%
3 2314
 
4.8%
7 2111
 
4.4%
6 1964
 
4.1%
0 1931
 
4.0%
4 1913
 
4.0%
Other values (15) 3466
 
7.2%
Hangul
ValueCountFrequency (%)
5837
 
8.3%
5690
 
8.1%
5544
 
7.9%
5528
 
7.8%
5516
 
7.8%
5428
 
7.7%
5331
 
7.6%
3992
 
5.7%
3914
 
5.5%
3617
 
5.1%
Other values (242) 20174
28.6%

도로명전체주소
Text

MISSING 

Distinct3344
Distinct (%)79.6%
Missing1482
Missing (%)26.1%
Memory size44.5 KiB
2024-04-17T14:02:18.858795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length26.761066
Min length19

Characters and Unicode

Total characters112450
Distinct characters380
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

Unique2759 ?
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 4200
 
19.7%
사상구 1909
 
8.9%
사하구 777
 
3.6%
감전동 471
 
2.2%
학장동 455
 
2.1%
삼락동 402
 
1.9%
강서구 381
 
1.8%
장림동 369
 
1.7%
송정동 357
 
1.7%
기장군 277
 
1.3%
Other values (2087) 11742
55.0%
2024-04-17T14:02:19.248421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17608
 
15.7%
5502
 
4.9%
4847
 
4.3%
4361
 
3.9%
4286
 
3.8%
4272
 
3.8%
4203
 
3.7%
4103
 
3.6%
4052
 
3.6%
( 3994
 
3.6%
Other values (370) 55222
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68217
60.7%
Decimal Number 17735
 
15.8%
Space Separator 17608
 
15.7%
Open Punctuation 3994
 
3.6%
Close Punctuation 3994
 
3.6%
Dash Punctuation 561
 
0.5%
Other Punctuation 294
 
0.3%
Uppercase Letter 45
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5502
 
8.1%
4847
 
7.1%
4361
 
6.4%
4286
 
6.3%
4272
 
6.3%
4203
 
6.2%
4103
 
6.0%
4052
 
5.9%
3189
 
4.7%
2358
 
3.5%
Other values (340) 27044
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
13.3%
A 6
13.3%
C 6
13.3%
S 6
13.3%
K 5
11.1%
E 3
6.7%
Y 3
6.7%
H 3
6.7%
M 2
 
4.4%
P 2
 
4.4%
Other values (2) 3
6.7%
Decimal Number
ValueCountFrequency (%)
1 3407
19.2%
2 2514
14.2%
3 2196
12.4%
4 1689
9.5%
6 1552
8.8%
5 1533
8.6%
7 1406
7.9%
0 1215
 
6.9%
9 1161
 
6.5%
8 1062
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 293
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17608
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 561
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68217
60.7%
Common 44187
39.3%
Latin 46
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5502
 
8.1%
4847
 
7.1%
4361
 
6.4%
4286
 
6.3%
4272
 
6.3%
4203
 
6.2%
4103
 
6.0%
4052
 
5.9%
3189
 
4.7%
2358
 
3.5%
Other values (340) 27044
39.6%
Common
ValueCountFrequency (%)
17608
39.8%
( 3994
 
9.0%
) 3994
 
9.0%
1 3407
 
7.7%
2 2514
 
5.7%
3 2196
 
5.0%
4 1689
 
3.8%
6 1552
 
3.5%
5 1533
 
3.5%
7 1406
 
3.2%
Other values (7) 4294
 
9.7%
Latin
ValueCountFrequency (%)
B 6
13.0%
A 6
13.0%
C 6
13.0%
S 6
13.0%
K 5
10.9%
E 3
6.5%
Y 3
6.5%
H 3
6.5%
M 2
 
4.3%
P 2
 
4.3%
Other values (3) 4
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68217
60.7%
ASCII 44233
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17608
39.8%
( 3994
 
9.0%
) 3994
 
9.0%
1 3407
 
7.7%
2 2514
 
5.7%
3 2196
 
5.0%
4 1689
 
3.8%
6 1552
 
3.5%
5 1533
 
3.5%
7 1406
 
3.2%
Other values (20) 4340
 
9.8%
Hangul
ValueCountFrequency (%)
5502
 
8.1%
4847
 
7.1%
4361
 
6.4%
4286
 
6.3%
4272
 
6.3%
4203
 
6.2%
4103
 
6.0%
4052
 
5.9%
3189
 
4.7%
2358
 
3.5%
Other values (340) 27044
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct485
Distinct (%)17.3%
Missing2885
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean474668.07
Minimum6151
Maximum621270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:19.373554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6151
5-th percentile46752
Q1324771.5
median617805
Q3617826
95-th percentile618270
Maximum621270
Range615119
Interquartile range (IQR)293054.5

Descriptive statistics

Standard deviation246618.75
Coefficient of variation (CV)0.51956044
Kurtosis-0.66705413
Mean474668.07
Median Absolute Deviation (MAD)38
Skewness-1.1544536
Sum1.3285959 × 109
Variance6.0820809 × 1010
MonotonicityNot monotonic
2024-04-17T14:02:19.752390image/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 (475) 1443
25.4%
(Missing) 2885
50.8%
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 9
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%
Distinct4443
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
2024-04-17T14:02:19.971647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.9628783
Min length1

Characters and Unicode

Total characters39577
Distinct characters610
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

Unique3511 ?
Unique (%)61.8%

Sample

1st row주식회사 케이티
2nd row남성홀딩스(주) 부산지점
3rd row동원산업(주)
4th row은산기업주식회사
5th row(재)천주교부산교구메리놀병원
ValueCountFrequency (%)
주식회사 36
 
0.6%
제2공장 19
 
0.3%
부산공장 15
 
0.2%
부산지점 9
 
0.1%
대영산업 9
 
0.1%
부산광역시 9
 
0.1%
2공장 9
 
0.1%
영진금속 9
 
0.1%
대진금속 9
 
0.1%
대신금속 9
 
0.1%
Other values (4576) 5985
97.8%
2024-04-17T14:02:20.316420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2644
 
6.7%
) 2558
 
6.5%
( 2546
 
6.4%
1455
 
3.7%
1179
 
3.0%
1030
 
2.6%
983
 
2.5%
823
 
2.1%
764
 
1.9%
672
 
1.7%
Other values (600) 24923
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33185
83.8%
Close Punctuation 2559
 
6.5%
Open Punctuation 2547
 
6.4%
Uppercase Letter 446
 
1.1%
Space Separator 434
 
1.1%
Decimal Number 245
 
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 (%)
2644
 
8.0%
1455
 
4.4%
1179
 
3.6%
1030
 
3.1%
983
 
3.0%
823
 
2.5%
764
 
2.3%
672
 
2.0%
637
 
1.9%
606
 
1.8%
Other values (533) 22392
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%
O 19
 
4.3%
G 19
 
4.3%
N 18
 
4.0%
R 18
 
4.0%
Other values (13) 134
30.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
12.8%
r 4
 
10.3%
s 3
 
7.7%
e 3
 
7.7%
c 3
 
7.7%
i 2
 
5.1%
t 2
 
5.1%
y 2
 
5.1%
m 2
 
5.1%
l 2
 
5.1%
Other values (8) 11
28.2%
Decimal Number
ValueCountFrequency (%)
2 97
39.6%
1 72
29.4%
3 34
 
13.9%
0 14
 
5.7%
4 8
 
3.3%
6 7
 
2.9%
5 5
 
2.0%
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 (%)
) 2558
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2546
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
434
100.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33222
83.9%
Common 5869
 
14.8%
Latin 485
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2644
 
8.0%
1455
 
4.4%
1179
 
3.5%
1030
 
3.1%
983
 
3.0%
823
 
2.5%
764
 
2.3%
672
 
2.0%
637
 
1.9%
606
 
1.8%
Other values (533) 22429
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%
O 19
 
3.9%
G 19
 
3.9%
N 18
 
3.7%
R 18
 
3.7%
Other values (31) 173
35.7%
Common
ValueCountFrequency (%)
) 2558
43.6%
( 2546
43.4%
434
 
7.4%
2 97
 
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) 45
 
0.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33178
83.8%
ASCII 6352
 
16.0%
None 40
 
0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2644
 
8.0%
1455
 
4.4%
1179
 
3.6%
1030
 
3.1%
983
 
3.0%
823
 
2.5%
764
 
2.3%
672
 
2.0%
637
 
1.9%
606
 
1.8%
Other values (527) 22385
67.5%
ASCII
ValueCountFrequency (%)
) 2558
40.3%
( 2546
40.1%
434
 
6.8%
2 97
 
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) 409
 
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)

Distinct5683
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132477 × 1013
Minimum2.0000818 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:20.450021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000818 × 1013
5-th percentile2.0041112 × 1013
Q12.0070206 × 1013
median2.0150819 × 1013
Q32.0190724 × 1013
95-th percentile2.0201029 × 1013
Maximum2.0201231 × 1013
Range2.0041305 × 1011
Interquartile range (IQR)1.2051825 × 1011

Descriptive statistics

Standard deviation6.0108652 × 1010
Coefficient of variation (CV)0.0029856561
Kurtosis-1.4342112
Mean2.0132477 × 1013
Median Absolute Deviation (MAD)4.0282041 × 1010
Skewness-0.37476577
Sum1.14433 × 1017
Variance3.6130501 × 1021
MonotonicityNot monotonic
2024-04-17T14:02:20.573600image/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 (5673) 5673
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 (%)
20201231175738 1
< 0.1%
20201231175735 1
< 0.1%
20201231175634 1
< 0.1%
20201231165132 1
< 0.1%
20201231115739 1
< 0.1%
20201231104636 1
< 0.1%
20201231103518 1
< 0.1%
20201231103421 1
< 0.1%
20201231103118 1
< 0.1%
20201231095505 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
I
3747 
U
1937 

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 3747
65.9%
U 1937
34.1%

Length

2024-04-17T14:02:20.689906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:20.771772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3747
65.9%
u 1937
34.1%
Distinct581
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
Minimum2018-09-04 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T14:02:20.860482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:02:20.979745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct446
Distinct (%)17.9%
Missing3193
Missing (%)56.2%
Memory size44.5 KiB
2024-04-17T14:02:21.231847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.855078
Min length2

Characters and Unicode

Total characters27040
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

Unique199 ?
Unique (%)8.0%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row소방서
5th row일반 고등학교
ValueCountFrequency (%)
제조업 1096
 
14.3%
811
 
10.6%
기타 549
 
7.2%
자동차 319
 
4.2%
도금업 289
 
3.8%
수리업 209
 
2.7%
조립금속제품 197
 
2.6%
종합 132
 
1.7%
그외 106
 
1.4%
기계 97
 
1.3%
Other values (579) 3855
50.3%
2024-04-17T14:02:21.613620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5170
19.1%
2424
 
9.0%
1922
 
7.1%
1482
 
5.5%
889
 
3.3%
832
 
3.1%
799
 
3.0%
776
 
2.9%
638
 
2.4%
573
 
2.1%
Other values (282) 11535
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21701
80.3%
Space Separator 5170
 
19.1%
Other Punctuation 154
 
0.6%
Decimal Number 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2424
 
11.2%
1922
 
8.9%
1482
 
6.8%
889
 
4.1%
832
 
3.8%
799
 
3.7%
776
 
3.6%
638
 
2.9%
573
 
2.6%
467
 
2.2%
Other values (277) 10899
50.2%
Other Punctuation
ValueCountFrequency (%)
, 139
90.3%
· 10
 
6.5%
; 5
 
3.2%
Space Separator
ValueCountFrequency (%)
5170
100.0%
Decimal Number
ValueCountFrequency (%)
1 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21701
80.3%
Common 5339
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2424
 
11.2%
1922
 
8.9%
1482
 
6.8%
889
 
4.1%
832
 
3.8%
799
 
3.7%
776
 
3.6%
638
 
2.9%
573
 
2.6%
467
 
2.2%
Other values (277) 10899
50.2%
Common
ValueCountFrequency (%)
5170
96.8%
, 139
 
2.6%
1 15
 
0.3%
· 10
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21701
80.3%
ASCII 5329
 
19.7%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5170
97.0%
, 139
 
2.6%
1 15
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2424
 
11.2%
1922
 
8.9%
1482
 
6.8%
889
 
4.1%
832
 
3.8%
799
 
3.7%
776
 
3.6%
638
 
2.9%
573
 
2.6%
467
 
2.2%
Other values (277) 10899
50.2%
None
ValueCountFrequency (%)
· 10
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3263
Distinct (%)75.2%
Missing1343
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean382612.38
Minimum203846.91
Maximum409312.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:21.742010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203846.91
5-th percentile368445.88
Q1379724.36
median380567.92
Q3385730.96
95-th percentile399155.41
Maximum409312.53
Range205465.62
Interquartile range (IQR)6006.593

Descriptive statistics

Standard deviation8181.5391
Coefficient of variation (CV)0.021383363
Kurtosis52.732301
Mean382612.38
Median Absolute Deviation (MAD)1294.484
Skewness-1.8099143
Sum1.6609203 × 109
Variance66937583
MonotonicityNot monotonic
2024-04-17T14:02:21.856816image/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%
380235.651842785 7
 
0.1%
393613.739814618 7
 
0.1%
380604.591562269 6
 
0.1%
380703.51173765 6
 
0.1%
Other values (3253) 4259
74.9%
(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 

Distinct3262
Distinct (%)75.1%
Missing1343
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean185613.01
Minimum173992.31
Maximum444606.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:21.969116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173992.31
5-th percentile176513.33
Q1178769.02
median185156.64
Q3188960.51
95-th percentile203881.36
Maximum444606.04
Range270613.73
Interquartile range (IQR)10191.487

Descriptive statistics

Standard deviation8152.9702
Coefficient of variation (CV)0.043924561
Kurtosis234.43403
Mean185613.01
Median Absolute Deviation (MAD)4231.417
Skewness8.0209046
Sum8.0574609 × 108
Variance66470922
MonotonicityNot monotonic
2024-04-17T14:02:22.095520image/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%
192493.751896833 7
 
0.1%
189366.88271546 7
 
0.1%
185009.709198951 7
 
0.1%
184629.104887058 7
 
0.1%
188472.71791768 6
 
0.1%
176721.757424129 6
 
0.1%
Other values (3252) 4259
74.9%
(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 1
< 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 size44.5 KiB
대기배출업소관리
5684 

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 5684
100.0%

Length

2024-04-17T14:02:22.211419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:22.289834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5684
100.0%

업종구분명
Text

MISSING 

Distinct478
Distinct (%)15.8%
Missing2660
Missing (%)46.8%
Memory size44.5 KiB
2024-04-17T14:02:22.500562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.737434
Min length2

Characters and Unicode

Total characters32470
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

Unique202 ?
Unique (%)6.7%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row소방서
5th row일반 고등학교
ValueCountFrequency (%)
제조업 1346
 
14.7%
950
 
10.4%
기타 683
 
7.5%
도금업 392
 
4.3%
자동차 334
 
3.7%
조립금속제품 230
 
2.5%
수리업 220
 
2.4%
종합 136
 
1.5%
가공업 128
 
1.4%
그외 116
 
1.3%
Other values (607) 4609
50.4%
2024-04-17T14:02:22.864444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6121
18.9%
2965
 
9.1%
2438
 
7.5%
1869
 
5.8%
1077
 
3.3%
1055
 
3.2%
999
 
3.1%
971
 
3.0%
711
 
2.2%
707
 
2.2%
Other values (283) 13557
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26157
80.6%
Space Separator 6121
 
18.9%
Other Punctuation 172
 
0.5%
Decimal Number 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2965
 
11.3%
2438
 
9.3%
1869
 
7.1%
1077
 
4.1%
1055
 
4.0%
999
 
3.8%
971
 
3.7%
711
 
2.7%
707
 
2.7%
615
 
2.4%
Other values (278) 12750
48.7%
Other Punctuation
ValueCountFrequency (%)
, 155
90.1%
· 12
 
7.0%
; 5
 
2.9%
Space Separator
ValueCountFrequency (%)
6121
100.0%
Decimal Number
ValueCountFrequency (%)
1 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26157
80.6%
Common 6313
 
19.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2965
 
11.3%
2438
 
9.3%
1869
 
7.1%
1077
 
4.1%
1055
 
4.0%
999
 
3.8%
971
 
3.7%
711
 
2.7%
707
 
2.7%
615
 
2.4%
Other values (278) 12750
48.7%
Common
ValueCountFrequency (%)
6121
97.0%
, 155
 
2.5%
1 20
 
0.3%
· 12
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26157
80.6%
ASCII 6301
 
19.4%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6121
97.1%
, 155
 
2.5%
1 20
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2965
 
11.3%
2438
 
9.3%
1869
 
7.1%
1077
 
4.1%
1055
 
4.0%
999
 
3.8%
971
 
3.7%
711
 
2.7%
707
 
2.7%
615
 
2.4%
Other values (278) 12750
48.7%
None
ValueCountFrequency (%)
· 12
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.5 KiB
5종
3162 
4종
1832 
3종
317 
2종
 
187
<NA>
 
132

Length

Max length4
Median length2
Mean length2.0464462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 3162
55.6%
4종 1832
32.2%
3종 317
 
5.6%
2종 187
 
3.3%
<NA> 132
 
2.3%
1종 54
 
1.0%

Length

2024-04-17T14:02:22.989261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:02:23.090117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 3162
55.6%
4종 1832
32.2%
3종 317
 
5.6%
2종 187
 
3.3%
na 132
 
2.3%
1종 54
 
1.0%

주생산품명
Text

MISSING 

Distinct555
Distinct (%)67.9%
Missing4867
Missing (%)85.6%
Memory size44.5 KiB
2024-04-17T14:02:23.350475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length6.1921665
Min length1

Characters and Unicode

Total characters5059
Distinct characters384
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

Unique445 ?
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%
금속제품 13
 
1.3%
12
 
1.2%
기계부품 12
 
1.2%
11
 
1.1%
도금 9
 
0.9%
Other values (580) 835
80.4%
2024-04-17T14:02:23.730476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
5.8%
221
 
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 (374) 3238
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4380
86.6%
Space Separator 221
 
4.4%
Uppercase Letter 197
 
3.9%
Lowercase Letter 93
 
1.8%
Decimal Number 76
 
1.5%
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
 
4.9%
185
 
4.2%
182
 
4.2%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.9%
103
 
2.4%
Other values (312) 2677
61.1%
Uppercase Letter
ValueCountFrequency (%)
E 29
14.7%
L 19
 
9.6%
P 17
 
8.6%
C 14
 
7.1%
T 13
 
6.6%
I 12
 
6.1%
A 12
 
6.1%
S 12
 
6.1%
R 11
 
5.6%
H 10
 
5.1%
Other values (12) 48
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.1%
t 11
11.8%
r 8
 
8.6%
a 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
23.7%
0 12
15.8%
3 10
13.2%
6 7
 
9.2%
2 7
 
9.2%
5 6
 
7.9%
8 5
 
6.6%
4 5
 
6.6%
9 4
 
5.3%
7 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 51
92.7%
. 2
 
3.6%
/ 1
 
1.8%
& 1
 
1.8%
Space Separator
ValueCountFrequency (%)
221
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 4380
86.6%
Common 389
 
7.7%
Latin 290
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.9%
185
 
4.2%
182
 
4.2%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.9%
103
 
2.4%
Other values (312) 2677
61.1%
Latin
ValueCountFrequency (%)
E 29
 
10.0%
L 19
 
6.6%
P 17
 
5.9%
e 15
 
5.2%
C 14
 
4.8%
T 13
 
4.5%
I 12
 
4.1%
A 12
 
4.1%
S 12
 
4.1%
R 11
 
3.8%
Other values (34) 136
46.9%
Common
ValueCountFrequency (%)
221
56.8%
, 51
 
13.1%
1 18
 
4.6%
) 14
 
3.6%
( 14
 
3.6%
0 12
 
3.1%
3 10
 
2.6%
- 9
 
2.3%
6 7
 
1.8%
2 7
 
1.8%
Other values (8) 26
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4380
86.6%
ASCII 679
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
294
 
6.7%
213
 
4.9%
185
 
4.2%
182
 
4.2%
163
 
3.7%
149
 
3.4%
149
 
3.4%
140
 
3.2%
125
 
2.9%
103
 
2.4%
Other values (312) 2677
61.1%
ASCII
ValueCountFrequency (%)
221
32.5%
, 51
 
7.5%
E 29
 
4.3%
L 19
 
2.8%
1 18
 
2.7%
P 17
 
2.5%
e 15
 
2.2%
) 14
 
2.1%
C 14
 
2.1%
( 14
 
2.1%
Other values (52) 267
39.3%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct170
Distinct (%)3.5%
Missing858
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean6.8653419
Minimum0
Maximum365
Zeros1062
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:23.853391image/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 deviation7.7810945
Coefficient of variation (CV)1.1333878
Kurtosis933.98573
Mean6.8653419
Median Absolute Deviation (MAD)1
Skewness21.089897
Sum33132.14
Variance60.545431
MonotonicityNot monotonic
2024-04-17T14:02:23.972526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 2258
39.7%
0.0 1062
18.7%
2.0 193
 
3.4%
24.0 191
 
3.4%
4.0 141
 
2.5%
6.0 123
 
2.2%
10.0 114
 
2.0%
3.0 87
 
1.5%
5.0 66
 
1.2%
12.0 61
 
1.1%
Other values (160) 530
 
9.3%
(Missing) 858
 
15.1%
ValueCountFrequency (%)
0.0 1062
18.7%
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%
24.0 191
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%
Missing1276
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean221.63022
Minimum0
Maximum365
Zeros1036
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:24.107576image/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 deviation129.29883
Coefficient of variation (CV)0.58339893
Kurtosis-0.77581198
Mean221.63022
Median Absolute Deviation (MAD)0
Skewness-1.050608
Sum976946
Variance16718.188
MonotonicityNot monotonic
2024-04-17T14:02:24.228640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2638
46.4%
0 1036
 
18.2%
365 83
 
1.5%
240 80
 
1.4%
250 39
 
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) 436
 
7.7%
(Missing) 1276
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 83
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%
Missing2208
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean6.2691197
Minimum0
Maximum310
Zeros1116
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:24.350526image/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 deviation13.4728
Coefficient of variation (CV)2.1490736
Kurtosis341.93671
Mean6.2691197
Median Absolute Deviation (MAD)4
Skewness16.704191
Sum21791.46
Variance181.51633
MonotonicityNot monotonic
2024-04-17T14:02:24.467947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 1396
24.6%
0.0 1116
19.6%
2.0 177
 
3.1%
24.0 126
 
2.2%
4.0 106
 
1.9%
6.0 103
 
1.8%
3.0 72
 
1.3%
10.0 57
 
1.0%
5.0 46
 
0.8%
12.0 35
 
0.6%
Other values (67) 242
 
4.3%
(Missing) 2208
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%
2.0 177
 
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%
24.0 126
2.2%
23.0 3
 
0.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)3.5%
Missing1968
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean202.6176
Minimum0
Maximum365
Zeros1118
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-04-17T14:02:24.586655image/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 deviation138.84745
Coefficient of variation (CV)0.68526847
Kurtosis-1.4003776
Mean202.6176
Median Absolute Deviation (MAD)0
Skewness-0.71292998
Sum752927
Variance19278.615
MonotonicityNot monotonic
2024-04-17T14:02:24.705491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2037
35.8%
0 1118
19.7%
240 81
 
1.4%
365 80
 
1.4%
250 43
 
0.8%
260 22
 
0.4%
264 17
 
0.3%
312 17
 
0.3%
200 13
 
0.2%
280 11
 
0.2%
Other values (119) 277
 
4.9%
(Missing) 1968
34.6%
ValueCountFrequency (%)
0 1118
19.7%
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 80
1.4%
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 

Missing5684
Missing (%)100.0%
Memory size50.1 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
56745675대기오염물질배출시설설치사업장09_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>
56755676대기오염물질배출시설설치사업장09_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>
56765677대기오염물질배출시설설치사업장09_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>
56775678대기오염물질배출시설설치사업장09_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>
56785679대기오염물질배출시설설치사업장09_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>
56795680대기오염물질배출시설설치사업장09_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>
56805681대기오염물질배출시설설치사업장09_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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