Overview

Dataset statistics

Number of variables37
Number of observations5733
Missing cells56826
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

Description2021-06-01
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 5733 (100.0%) missing valuesMissing
폐업일자 has 3488 (60.8%) missing valuesMissing
재개업일자 has 5733 (100.0%) missing valuesMissing
소재지전화 has 1212 (21.1%) missing valuesMissing
소재지면적 has 5733 (100.0%) missing valuesMissing
소재지우편번호 has 4768 (83.2%) missing valuesMissing
소재지전체주소 has 170 (3.0%) missing valuesMissing
도로명전체주소 has 1481 (25.8%) missing valuesMissing
도로명우편번호 has 2898 (50.5%) missing valuesMissing
업태구분명 has 3196 (55.7%) missing valuesMissing
좌표정보(x) has 1347 (23.5%) missing valuesMissing
좌표정보(y) has 1347 (23.5%) missing valuesMissing
업종구분명 has 2663 (46.5%) missing valuesMissing
주생산품명 has 4908 (85.6%) missing valuesMissing
배출시설조업시간 has 868 (15.1%) missing valuesMissing
배출시설연간가동일수 has 1289 (22.5%) missing valuesMissing
방지시설조업시간 has 2219 (38.7%) missing valuesMissing
방지시설연간가동일수 has 1974 (34.4%) missing valuesMissing
Unnamed: 36 has 5733 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -43.47165986)Skewed
배출시설조업시간 is highly skewed (γ1 = 20.97644821)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 1061 (18.5%) zerosZeros
배출시설연간가동일수 has 1034 (18.0%) zerosZeros
방지시설조업시간 has 1115 (19.4%) zerosZeros
방지시설연간가동일수 has 1116 (19.5%) zerosZeros

Reproduction

Analysis started2024-04-17 05:00:58.605685
Analysis finished2024-04-17 05:01:00.063984
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5733
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2867
Minimum1
Maximum5733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:00.132526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile287.6
Q11434
median2867
Q34300
95-th percentile5446.4
Maximum5733
Range5732
Interquartile range (IQR)2866

Descriptive statistics

Standard deviation1655.1189
Coefficient of variation (CV)0.57729992
Kurtosis-1.2
Mean2867
Median Absolute Deviation (MAD)1433
Skewness0
Sum16436511
Variance2739418.5
MonotonicityStrictly increasing
2024-04-17T14:01:00.253735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3809 1
 
< 0.1%
3829 1
 
< 0.1%
3828 1
 
< 0.1%
3827 1
 
< 0.1%
3826 1
 
< 0.1%
3825 1
 
< 0.1%
3824 1
 
< 0.1%
3823 1
 
< 0.1%
3822 1
 
< 0.1%
Other values (5723) 5723
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 (%)
5733 1
< 0.1%
5732 1
< 0.1%
5731 1
< 0.1%
5730 1
< 0.1%
5729 1
< 0.1%
5728 1
< 0.1%
5727 1
< 0.1%
5726 1
< 0.1%
5725 1
< 0.1%
5724 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
대기오염물질배출시설설치사업장
5733 

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 5733
100.0%

Length

2024-04-17T14:01:00.363828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:00.443746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5733
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
09_30_08_P
5733 

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 5733
100.0%

Length

2024-04-17T14:01:00.530873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:00.615308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5733
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3974261.3
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:00.689061image/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 deviation1183390.9
Coefficient of variation (CV)0.29776374
Kurtosis-0.00017340487
Mean3974261.3
Median Absolute Deviation (MAD)40000
Skewness1.4125784
Sum2.278444 × 1010
Variance1.4004141 × 1012
MonotonicityNot monotonic
2024-04-17T14:01:00.774830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3390000 1934
33.7%
6260000 1211
21.1%
3340000 834
14.5%
3360000 348
 
6.1%
3400000 325
 
5.7%
3350000 235
 
4.1%
3330000 183
 
3.2%
3280000 119
 
2.1%
3290000 91
 
1.6%
3370000 79
 
1.4%
Other values (7) 374
 
6.5%
ValueCountFrequency (%)
3250000 34
 
0.6%
3260000 42
 
0.7%
3270000 60
 
1.0%
3280000 119
 
2.1%
3290000 91
 
1.6%
3300000 60
 
1.0%
3310000 74
 
1.3%
3320000 53
 
0.9%
3330000 183
 
3.2%
3340000 834
14.5%
ValueCountFrequency (%)
6260000 1211
21.1%
3400000 325
 
5.7%
3390000 1934
33.7%
3380000 51
 
0.9%
3370000 79
 
1.4%
3360000 348
 
6.1%
3350000 235
 
4.1%
3340000 834
14.5%
3330000 183
 
3.2%
3320000 53
 
0.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5733
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9742615 × 1017
Minimum3.2500002 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:00.881130image/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 deviation1.1833908 × 1017
Coefficient of variation (CV)0.29776371
Kurtosis-0.0001734053
Mean3.9742615 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness1.4125784
Sum-8.9521678 × 1018
Variance1.4004139 × 1034
MonotonicityNot monotonic
2024-04-17T14:01:01.000772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000021202000001 1
 
< 0.1%
334000021197925019 1
 
< 0.1%
334000021199815380 1
 
< 0.1%
334000021200125477 1
 
< 0.1%
334000021200125166 1
 
< 0.1%
334000021200124310 1
 
< 0.1%
334000021199127017 1
 
< 0.1%
334000021199126112 1
 
< 0.1%
334000021199125126 1
 
< 0.1%
334000021199125125 1
 
< 0.1%
Other values (5723) 5723
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 

Distinct3310
Distinct (%)58.4%
Missing66
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean20030441
Minimum198706
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:01.118507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198706
5-th percentile19910506
Q120000331
median20040529
Q320090604
95-th percentile20180112
Maximum20210430
Range20011724
Interquartile range (IQR)90273.5

Descriptive statistics

Standard deviation391238.35
Coefficient of variation (CV)0.019532189
Kurtosis2044.5034
Mean20030441
Median Absolute Deviation (MAD)40585
Skewness-43.47166
Sum1.1351251 × 1011
Variance1.5306744 × 1011
MonotonicityNot monotonic
2024-04-17T14:01:01.251925image/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
 
0.3%
20040701 19
 
0.3%
20081031 19
 
0.3%
20080714 17
 
0.3%
20000323 16
 
0.3%
19911226 14
 
0.2%
Other values (3300) 5445
95.0%
(Missing) 66
 
1.2%
ValueCountFrequency (%)
198706 1
< 0.1%
1995119 1
< 0.1%
9781226 1
< 0.1%
18831118 1
< 0.1%
19720129 1
< 0.1%
19720323 1
< 0.1%
19720324 2
< 0.1%
19720410 1
< 0.1%
19720603 1
< 0.1%
19720623 2
< 0.1%
ValueCountFrequency (%)
20210430 1
< 0.1%
20210413 1
< 0.1%
20210405 1
< 0.1%
20210402 1
< 0.1%
20210331 1
< 0.1%
20210325 1
< 0.1%
20210324 1
< 0.1%
20210317 1
< 0.1%
20210316 1
< 0.1%
20210308 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5733
Missing (%)100.0%
Memory size50.5 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
1
3191 
3
1842 
4
699 
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 3191
55.7%
3 1842
32.1%
4 699
 
12.2%
2 1
 
< 0.1%

Length

2024-04-17T14:01:01.362991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:01.451395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3191
55.7%
3 1842
32.1%
4 699
 
12.2%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
영업/정상
3191 
폐업
1842 
취소/말소/만료/정지/중지
699 
휴업
 
1

Length

Max length14
Median length5
Mean length5.1329147
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 3191
55.7%
폐업 1842
32.1%
취소/말소/만료/정지/중지 699
 
12.2%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:01.547970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:01.632529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3191
55.7%
폐업 1842
32.1%
취소/말소/만료/정지/중지 699
 
12.2%
휴업 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
11
2037 
2
1842 
1
1155 
4
699 

Length

Max length2
Median length1
Mean length1.3553114
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2037
35.5%
2 1842
32.1%
1 1155
20.1%
4 699
 
12.2%

Length

2024-04-17T14:01:01.729955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:01.819290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2037
35.5%
2 1842
32.1%
1 1155
20.1%
4 699
 
12.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
영업
3191 
폐업
1842 
폐쇄
699 
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 3191
55.7%
폐업 1842
32.1%
폐쇄 699
 
12.2%
휴업 1
 
< 0.1%

Length

2024-04-17T14:01:01.907436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:01.987752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3191
55.7%
폐업 1842
32.1%
폐쇄 699
 
12.2%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1381
Distinct (%)61.5%
Missing3488
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean20096581
Minimum19910424
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:02.082477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910424
5-th percentile20020219
Q120050905
median20091231
Q320140205
95-th percentile20200119
Maximum20210430
Range300006
Interquartile range (IQR)89300

Descriptive statistics

Standard deviation54869.181
Coefficient of variation (CV)0.0027302744
Kurtosis-0.59077961
Mean20096581
Median Absolute Deviation (MAD)40525
Skewness0.25118867
Sum4.5116825 × 1010
Variance3.010627 × 109
MonotonicityNot monotonic
2024-04-17T14:01:02.206622image/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%
20040317 10
 
0.2%
20160426 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 (1371) 1845
32.2%
(Missing) 3488
60.8%
ValueCountFrequency (%)
19910424 1
< 0.1%
19910523 1
< 0.1%
19911105 1
< 0.1%
19911209 1
< 0.1%
19930319 1
< 0.1%
19980416 1
< 0.1%
19980516 1
< 0.1%
19980715 1
< 0.1%
19981118 1
< 0.1%
19990101 1
< 0.1%
ValueCountFrequency (%)
20210430 1
 
< 0.1%
20210419 1
 
< 0.1%
20210407 1
 
< 0.1%
20210406 1
 
< 0.1%
20210329 1
 
< 0.1%
20210318 1
 
< 0.1%
20210304 1
 
< 0.1%
20210302 2
< 0.1%
20210226 1
 
< 0.1%
20210222 3
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
<NA>
5732 
20200101
 
1

Length

Max length8
Median length4
Mean length4.0006977
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> 5732
> 99.9%
20200101 1
 
< 0.1%

Length

2024-04-17T14:01:02.323183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:02.410804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5732
> 99.9%
20200101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
<NA>
5732 
20201231
 
1

Length

Max length8
Median length4
Mean length4.0006977
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> 5732
> 99.9%
20201231 1
 
< 0.1%

Length

2024-04-17T14:01:02.504033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:02.851055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5732
> 99.9%
20201231 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5733
Missing (%)100.0%
Memory size50.5 KiB

소재지전화
Text

MISSING 

Distinct4068
Distinct (%)90.0%
Missing1212
Missing (%)21.1%
Memory size44.9 KiB
2024-04-17T14:01:03.029301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.491263
Min length3

Characters and Unicode

Total characters47431
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

Unique3662 ?
Unique (%)81.0%

Sample

1st row051-441-2340
2nd row442-4521
3rd row462-8281
4th row465-8801
5th row260-5110
ValueCountFrequency (%)
051 1255
 
20.2%
301 27
 
0.4%
263 17
 
0.3%
051263 17
 
0.3%
304 17
 
0.3%
261 16
 
0.3%
264 15
 
0.2%
051261 14
 
0.2%
303 12
 
0.2%
051262 9
 
0.1%
Other values (4169) 4799
77.4%
2024-04-17T14:01:03.353097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8295
17.5%
0 7753
16.3%
5 6815
14.4%
3 4746
10.0%
2 4500
9.5%
6 2784
 
5.9%
8 2531
 
5.3%
4 2402
 
5.1%
7 2379
 
5.0%
- 1910
 
4.0%
Other values (4) 3316
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43829
92.4%
Dash Punctuation 1910
 
4.0%
Space Separator 1687
 
3.6%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8295
18.9%
0 7753
17.7%
5 6815
15.5%
3 4746
10.8%
2 4500
10.3%
6 2784
 
6.4%
8 2531
 
5.8%
4 2402
 
5.5%
7 2379
 
5.4%
9 1624
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1910
100.0%
Space Separator
ValueCountFrequency (%)
1687
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47431
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8295
17.5%
0 7753
16.3%
5 6815
14.4%
3 4746
10.0%
2 4500
9.5%
6 2784
 
5.9%
8 2531
 
5.3%
4 2402
 
5.1%
7 2379
 
5.0%
- 1910
 
4.0%
Other values (4) 3316
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8295
17.5%
0 7753
16.3%
5 6815
14.4%
3 4746
10.0%
2 4500
9.5%
6 2784
 
5.9%
8 2531
 
5.3%
4 2402
 
5.1%
7 2379
 
5.0%
- 1910
 
4.0%
Other values (4) 3316
 
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5733
Missing (%)100.0%
Memory size50.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct226
Distinct (%)23.4%
Missing4768
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean612106.19
Minimum600010
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:03.484575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation6101.3156
Coefficient of variation (CV)0.0099677405
Kurtosis-1.3748759
Mean612106.19
Median Absolute Deviation (MAD)4721
Skewness-0.43493983
Sum5.9068247 × 108
Variance37226053
MonotonicityNot monotonic
2024-04-17T14:01:03.615083image/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 30
 
0.5%
617070 26
 
0.5%
604060 25
 
0.4%
604041 24
 
0.4%
612060 23
 
0.4%
Other values (216) 646
 
11.3%
(Missing) 4768
83.2%
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 

Distinct4528
Distinct (%)81.4%
Missing170
Missing (%)3.0%
Memory size44.9 KiB
2024-04-17T14:01:03.946450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length21.443106
Min length12

Characters and Unicode

Total characters119288
Distinct characters293
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

Unique3805 ?
Unique (%)68.4%

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 5561
24.2%
사상구 2355
 
10.3%
사하구 1130
 
4.9%
강서구 787
 
3.4%
송정동 768
 
3.3%
학장동 732
 
3.2%
감전동 615
 
2.7%
장림동 511
 
2.2%
삼락동 402
 
1.8%
기장군 306
 
1.3%
Other values (4422) 9794
42.7%
2024-04-17T14:01:04.414347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18783
 
15.7%
5890
 
4.9%
5742
 
4.8%
5597
 
4.7%
5580
 
4.7%
5567
 
4.7%
5480
 
4.6%
5379
 
4.5%
1 5376
 
4.5%
- 4852
 
4.1%
Other values (283) 51042
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70995
59.5%
Decimal Number 24535
 
20.6%
Space Separator 18783
 
15.7%
Dash Punctuation 4852
 
4.1%
Other Punctuation 54
 
< 0.1%
Open Punctuation 23
 
< 0.1%
Close Punctuation 23
 
< 0.1%
Uppercase Letter 21
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5890
 
8.3%
5742
 
8.1%
5597
 
7.9%
5580
 
7.9%
5567
 
7.8%
5480
 
7.7%
5379
 
7.6%
3874
 
5.5%
3795
 
5.3%
3629
 
5.1%
Other values (253) 20462
28.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
23.8%
B 4
19.0%
S 3
14.3%
C 2
 
9.5%
T 1
 
4.8%
M 1
 
4.8%
E 1
 
4.8%
L 1
 
4.8%
U 1
 
4.8%
P 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 5376
21.9%
2 2851
11.6%
5 2587
10.5%
3 2340
9.5%
7 2133
 
8.7%
6 1983
 
8.1%
0 1946
 
7.9%
4 1932
 
7.9%
8 1790
 
7.3%
9 1597
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
& 1
 
1.9%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
18783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70995
59.5%
Common 48271
40.5%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5890
 
8.3%
5742
 
8.1%
5597
 
7.9%
5580
 
7.9%
5567
 
7.8%
5480
 
7.7%
5379
 
7.6%
3874
 
5.5%
3795
 
5.3%
3629
 
5.1%
Other values (253) 20462
28.8%
Common
ValueCountFrequency (%)
18783
38.9%
1 5376
 
11.1%
- 4852
 
10.1%
2 2851
 
5.9%
5 2587
 
5.4%
3 2340
 
4.8%
7 2133
 
4.4%
6 1983
 
4.1%
0 1946
 
4.0%
4 1932
 
4.0%
Other values (8) 3488
 
7.2%
Latin
ValueCountFrequency (%)
A 5
22.7%
B 4
18.2%
S 3
13.6%
C 2
 
9.1%
T 1
 
4.5%
c 1
 
4.5%
M 1
 
4.5%
E 1
 
4.5%
L 1
 
4.5%
U 1
 
4.5%
Other values (2) 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70995
59.5%
ASCII 48293
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18783
38.9%
1 5376
 
11.1%
- 4852
 
10.0%
2 2851
 
5.9%
5 2587
 
5.4%
3 2340
 
4.8%
7 2133
 
4.4%
6 1983
 
4.1%
0 1946
 
4.0%
4 1932
 
4.0%
Other values (20) 3510
 
7.3%
Hangul
ValueCountFrequency (%)
5890
 
8.3%
5742
 
8.1%
5597
 
7.9%
5580
 
7.9%
5567
 
7.8%
5480
 
7.7%
5379
 
7.6%
3874
 
5.5%
3795
 
5.3%
3629
 
5.1%
Other values (253) 20462
28.8%

도로명전체주소
Text

MISSING 

Distinct3385
Distinct (%)79.6%
Missing1481
Missing (%)25.8%
Memory size44.9 KiB
2024-04-17T14:01:04.683902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length26.778222
Min length19

Characters and Unicode

Total characters113861
Distinct characters388
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

Unique2794 ?
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 4250
 
19.7%
사상구 1912
 
8.8%
사하구 784
 
3.6%
감전동 472
 
2.2%
학장동 455
 
2.1%
강서구 403
 
1.9%
삼락동 402
 
1.9%
송정동 380
 
1.8%
장림동 371
 
1.7%
기장군 282
 
1.3%
Other values (2108) 11895
55.1%
2024-04-17T14:01:05.083889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17824
 
15.7%
5607
 
4.9%
4901
 
4.3%
4413
 
3.9%
4341
 
3.8%
4325
 
3.8%
4254
 
3.7%
4150
 
3.6%
4102
 
3.6%
) 4041
 
3.5%
Other values (378) 55903
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69099
60.7%
Decimal Number 17933
 
15.7%
Space Separator 17824
 
15.7%
Close Punctuation 4041
 
3.5%
Open Punctuation 4041
 
3.5%
Dash Punctuation 564
 
0.5%
Other Punctuation 305
 
0.3%
Uppercase Letter 52
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5607
 
8.1%
4901
 
7.1%
4413
 
6.4%
4341
 
6.3%
4325
 
6.3%
4254
 
6.2%
4150
 
6.0%
4102
 
5.9%
3199
 
4.6%
2376
 
3.4%
Other values (345) 27431
39.7%
Uppercase Letter
ValueCountFrequency (%)
S 8
15.4%
C 7
13.5%
A 6
11.5%
B 6
11.5%
K 5
9.6%
P 3
 
5.8%
E 3
 
5.8%
H 3
 
5.8%
Y 3
 
5.8%
U 3
 
5.8%
Other values (4) 5
9.6%
Decimal Number
ValueCountFrequency (%)
1 3440
19.2%
2 2542
14.2%
3 2215
12.4%
4 1703
9.5%
6 1574
8.8%
5 1556
8.7%
7 1418
7.9%
0 1230
 
6.9%
9 1178
 
6.6%
8 1077
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 303
99.3%
. 1
 
0.3%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17824
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4041
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4041
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 564
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69099
60.7%
Common 44709
39.3%
Latin 53
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5607
 
8.1%
4901
 
7.1%
4413
 
6.4%
4341
 
6.3%
4325
 
6.3%
4254
 
6.2%
4150
 
6.0%
4102
 
5.9%
3199
 
4.6%
2376
 
3.4%
Other values (345) 27431
39.7%
Common
ValueCountFrequency (%)
17824
39.9%
) 4041
 
9.0%
( 4041
 
9.0%
1 3440
 
7.7%
2 2542
 
5.7%
3 2215
 
5.0%
4 1703
 
3.8%
6 1574
 
3.5%
5 1556
 
3.5%
7 1418
 
3.2%
Other values (8) 4355
 
9.7%
Latin
ValueCountFrequency (%)
S 8
15.1%
C 7
13.2%
A 6
11.3%
B 6
11.3%
K 5
9.4%
P 3
 
5.7%
E 3
 
5.7%
H 3
 
5.7%
Y 3
 
5.7%
U 3
 
5.7%
Other values (5) 6
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69099
60.7%
ASCII 44762
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17824
39.8%
) 4041
 
9.0%
( 4041
 
9.0%
1 3440
 
7.7%
2 2542
 
5.7%
3 2215
 
4.9%
4 1703
 
3.8%
6 1574
 
3.5%
5 1556
 
3.5%
7 1418
 
3.2%
Other values (23) 4408
 
9.8%
Hangul
ValueCountFrequency (%)
5607
 
8.1%
4901
 
7.1%
4413
 
6.4%
4341
 
6.3%
4325
 
6.3%
4254
 
6.2%
4150
 
6.0%
4102
 
5.9%
3199
 
4.6%
2376
 
3.4%
Other values (345) 27431
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct493
Distinct (%)17.4%
Missing2898
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean469649.05
Minimum6151
Maximum621270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:05.210969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6151
5-th percentile46751
Q149488.5
median617805
Q3617826
95-th percentile618270
Maximum621270
Range615119
Interquartile range (IQR)568337.5

Descriptive statistics

Standard deviation249451.68
Coefficient of variation (CV)0.53114486
Kurtosis-0.78755528
Mean469649.05
Median Absolute Deviation (MAD)38
Skewness-1.1010796
Sum1.3314551 × 109
Variance6.2226142 × 1010
MonotonicityNot monotonic
2024-04-17T14:01:05.325547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
617825 191
 
3.3%
617814 191
 
3.3%
617843 174
 
3.0%
617826 160
 
2.8%
617805 153
 
2.7%
617844 143
 
2.5%
617823 131
 
2.3%
617804 85
 
1.5%
617801 68
 
1.2%
617800 58
 
1.0%
Other values (483) 1481
25.8%
(Missing) 2898
50.5%
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 8
0.1%
46028 11
0.2%
46031 2
 
< 0.1%
46033 1
 
< 0.1%
ValueCountFrequency (%)
621270 1
 
< 0.1%
619963 6
 
0.1%
619962 2
 
< 0.1%
619961 33
0.6%
619953 3
 
0.1%
619952 12
 
0.2%
619951 14
0.2%
619950 2
 
< 0.1%
619912 1
 
< 0.1%
619906 2
 
< 0.1%
Distinct4490
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
2024-04-17T14:01:05.574340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.9843014
Min length1

Characters and Unicode

Total characters40041
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

Unique3556 ?
Unique (%)62.0%

Sample

1st row주식회사 케이티
2nd row남성홀딩스(주) 부산지점
3rd row동원산업(주)
4th row은산기업주식회사
5th row(재)천주교부산교구메리놀병원
ValueCountFrequency (%)
주식회사 40
 
0.6%
제2공장 20
 
0.3%
부산공장 17
 
0.3%
2공장 11
 
0.2%
부산지점 9
 
0.1%
대영산업 9
 
0.1%
영진금속 9
 
0.1%
대신금속 9
 
0.1%
대진금속 9
 
0.1%
부산광역시 8
 
0.1%
Other values (4619) 6045
97.7%
2024-04-17T14:01:05.951293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2676
 
6.7%
) 2582
 
6.4%
( 2570
 
6.4%
1459
 
3.6%
1188
 
3.0%
1040
 
2.6%
996
 
2.5%
830
 
2.1%
765
 
1.9%
684
 
1.7%
Other values (602) 25251
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33571
83.8%
Close Punctuation 2583
 
6.5%
Open Punctuation 2571
 
6.4%
Space Separator 453
 
1.1%
Uppercase Letter 449
 
1.1%
Decimal Number 250
 
0.6%
Other Punctuation 79
 
0.2%
Lowercase Letter 40
 
0.1%
Other Symbol 38
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2676
 
8.0%
1459
 
4.3%
1188
 
3.5%
1040
 
3.1%
996
 
3.0%
830
 
2.5%
765
 
2.3%
684
 
2.0%
642
 
1.9%
611
 
1.8%
Other values (535) 22680
67.6%
Uppercase Letter
ValueCountFrequency (%)
S 58
12.9%
C 53
 
11.8%
T 47
 
10.5%
M 31
 
6.9%
E 25
 
5.6%
P 24
 
5.3%
O 19
 
4.2%
G 19
 
4.2%
R 18
 
4.0%
N 18
 
4.0%
Other values (13) 137
30.5%
Lowercase Letter
ValueCountFrequency (%)
o 5
12.5%
r 4
 
10.0%
s 3
 
7.5%
c 3
 
7.5%
e 3
 
7.5%
t 3
 
7.5%
i 2
 
5.0%
k 2
 
5.0%
p 2
 
5.0%
m 2
 
5.0%
Other values (8) 11
27.5%
Decimal Number
ValueCountFrequency (%)
2 100
40.0%
1 73
29.2%
3 34
 
13.6%
0 14
 
5.6%
4 8
 
3.2%
6 7
 
2.8%
5 6
 
2.4%
7 4
 
1.6%
9 3
 
1.2%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 46
58.2%
& 17
 
21.5%
, 8
 
10.1%
/ 2
 
2.5%
; 2
 
2.5%
# 1
 
1.3%
· 1
 
1.3%
1
 
1.3%
' 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 2582
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2570
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
453
100.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33608
83.9%
Common 5943
 
14.8%
Latin 489
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2676
 
8.0%
1459
 
4.3%
1188
 
3.5%
1040
 
3.1%
996
 
3.0%
830
 
2.5%
765
 
2.3%
684
 
2.0%
642
 
1.9%
611
 
1.8%
Other values (535) 22717
67.6%
Latin
ValueCountFrequency (%)
S 58
 
11.9%
C 53
 
10.8%
T 47
 
9.6%
M 31
 
6.3%
E 25
 
5.1%
P 24
 
4.9%
O 19
 
3.9%
G 19
 
3.9%
R 18
 
3.7%
N 18
 
3.7%
Other values (31) 177
36.2%
Common
ValueCountFrequency (%)
) 2582
43.4%
( 2570
43.2%
453
 
7.6%
2 100
 
1.7%
1 73
 
1.2%
. 46
 
0.8%
3 34
 
0.6%
& 17
 
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 33564
83.8%
ASCII 6430
 
16.1%
None 40
 
0.1%
Compat Jamo 6
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2676
 
8.0%
1459
 
4.3%
1188
 
3.5%
1040
 
3.1%
996
 
3.0%
830
 
2.5%
765
 
2.3%
684
 
2.0%
642
 
1.9%
611
 
1.8%
Other values (529) 22673
67.6%
ASCII
ValueCountFrequency (%)
) 2582
40.2%
( 2570
40.0%
453
 
7.0%
2 100
 
1.6%
1 73
 
1.1%
S 58
 
0.9%
C 53
 
0.8%
T 47
 
0.7%
. 46
 
0.7%
3 34
 
0.5%
Other values (54) 414
 
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)

Distinct5732
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0134032 × 1013
Minimum2.0000818 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:06.084257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000818 × 1013
5-th percentile2.0041112 × 1013
Q12.0070227 × 1013
median2.0150903 × 1013
Q32.0190726 × 1013
95-th percentile2.020123 × 1013
Maximum2.021043 × 1013
Range2.0961208 × 1011
Interquartile range (IQR)1.2049901 × 1011

Descriptive statistics

Standard deviation6.113899 × 1010
Coefficient of variation (CV)0.0030365994
Kurtosis-1.4289227
Mean2.0134032 × 1013
Median Absolute Deviation (MAD)4.9213041 × 1010
Skewness-0.36710029
Sum1.1542841 × 1017
Variance3.7379761 × 1021
MonotonicityNot monotonic
2024-04-17T14:01:06.206666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051126144103 2
 
< 0.1%
20200324152922 1
 
< 0.1%
20030604162330 1
 
< 0.1%
20040907171302 1
 
< 0.1%
20040811153214 1
 
< 0.1%
20031029110853 1
 
< 0.1%
20030602155812 1
 
< 0.1%
20181114101244 1
 
< 0.1%
20040907135953 1
 
< 0.1%
20010512114950 1
 
< 0.1%
Other values (5722) 5722
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 (%)
20210430202939 1
< 0.1%
20210430152022 1
< 0.1%
20210430143900 1
< 0.1%
20210430143838 1
< 0.1%
20210430132303 1
< 0.1%
20210430104546 1
< 0.1%
20210430103942 1
< 0.1%
20210429184351 1
< 0.1%
20210429101741 1
< 0.1%
20210428185354 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
I
3705 
U
2028 

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 3705
64.6%
U 2028
35.4%

Length

2024-04-17T14:01:06.324258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:06.404891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3705
64.6%
u 2028
35.4%
Distinct657
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
Minimum2018-09-06 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T14:01:06.519292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:01:06.642068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct453
Distinct (%)17.9%
Missing3196
Missing (%)55.7%
Memory size44.9 KiB
2024-04-17T14:01:06.955761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.864801
Min length2

Characters and Unicode

Total characters27564
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

Unique200 ?
Unique (%)7.9%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row부동산 임대업
5th row소방서
ValueCountFrequency (%)
제조업 1118
 
14.3%
826
 
10.6%
기타 553
 
7.1%
자동차 322
 
4.1%
도금업 292
 
3.7%
수리업 211
 
2.7%
조립금속제품 198
 
2.5%
종합 135
 
1.7%
그외 107
 
1.4%
제외 98
 
1.3%
Other values (587) 3946
50.6%
2024-04-17T14:01:07.385824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5270
19.1%
2471
 
9.0%
1957
 
7.1%
1511
 
5.5%
898
 
3.3%
848
 
3.1%
808
 
2.9%
789
 
2.9%
645
 
2.3%
578
 
2.1%
Other values (283) 11789
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22120
80.2%
Space Separator 5270
 
19.1%
Other Punctuation 159
 
0.6%
Decimal Number 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2471
 
11.2%
1957
 
8.8%
1511
 
6.8%
898
 
4.1%
848
 
3.8%
808
 
3.7%
789
 
3.6%
645
 
2.9%
578
 
2.6%
474
 
2.1%
Other values (278) 11141
50.4%
Other Punctuation
ValueCountFrequency (%)
, 143
89.9%
· 11
 
6.9%
; 5
 
3.1%
Space Separator
ValueCountFrequency (%)
5270
100.0%
Decimal Number
ValueCountFrequency (%)
1 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22120
80.2%
Common 5444
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2471
 
11.2%
1957
 
8.8%
1511
 
6.8%
898
 
4.1%
848
 
3.8%
808
 
3.7%
789
 
3.6%
645
 
2.9%
578
 
2.6%
474
 
2.1%
Other values (278) 11141
50.4%
Common
ValueCountFrequency (%)
5270
96.8%
, 143
 
2.6%
1 15
 
0.3%
· 11
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22120
80.2%
ASCII 5433
 
19.7%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5270
97.0%
, 143
 
2.6%
1 15
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2471
 
11.2%
1957
 
8.8%
1511
 
6.8%
898
 
4.1%
848
 
3.8%
808
 
3.7%
789
 
3.6%
645
 
2.9%
578
 
2.6%
474
 
2.1%
Other values (278) 11141
50.4%
None
ValueCountFrequency (%)
· 11
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3296
Distinct (%)75.1%
Missing1347
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean382559.13
Minimum203846.91
Maximum409312.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:07.520496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203846.91
5-th percentile368350.8
Q1379682.1
median380564.92
Q3385726.45
95-th percentile399134.6
Maximum409312.53
Range205465.62
Interquartile range (IQR)6044.3483

Descriptive statistics

Standard deviation8229.4426
Coefficient of variation (CV)0.021511557
Kurtosis50.915118
Mean382559.13
Median Absolute Deviation (MAD)1321.0783
Skewness-1.7559846
Sum1.6779044 × 109
Variance67723725
MonotonicityNot monotonic
2024-04-17T14:01:07.654633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379286.807180708 15
 
0.3%
379676.739126262 10
 
0.2%
378066.045463306 9
 
0.2%
369030.767256382 9
 
0.2%
393613.739814618 7
 
0.1%
380591.628634156 7
 
0.1%
380235.651842785 7
 
0.1%
380034.200316414 7
 
0.1%
380604.591562269 6
 
0.1%
378095.188144635 6
 
0.1%
Other values (3286) 4303
75.1%
(Missing) 1347
 
23.5%
ValueCountFrequency (%)
203846.905722439 1
< 0.1%
365042.93864724 1
< 0.1%
365400.372737445 1
< 0.1%
365598.422353 1
< 0.1%
365613.595615505 1
< 0.1%
365640.092566253 1
< 0.1%
366237.797897511 1
< 0.1%
366266.103555541 1
< 0.1%
366283.763436367 1
< 0.1%
366339.309102189 1
< 0.1%
ValueCountFrequency (%)
409312.526674356 1
< 0.1%
408465.47014337 2
< 0.1%
408104.217224932 1
< 0.1%
408074.574244747 1
< 0.1%
407860.031836566 1
< 0.1%
407843.966573645 1
< 0.1%
406652.011569395 1
< 0.1%
406190.540880514 2
< 0.1%
406007.739500681 1
< 0.1%
405967.49653678 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3295
Distinct (%)75.1%
Missing1347
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean185573.24
Minimum173992.31
Maximum444606.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:07.773801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173992.31
5-th percentile176513.33
Q1178736.8
median185129.4
Q3188945.64
95-th percentile203878.87
Maximum444606.04
Range270613.73
Interquartile range (IQR)10208.845

Descriptive statistics

Standard deviation8154.2537
Coefficient of variation (CV)0.043940892
Kurtosis232.0356
Mean185573.24
Median Absolute Deviation (MAD)4284.4501
Skewness7.9550596
Sum8.1392424 × 108
Variance66491854
MonotonicityNot monotonic
2024-04-17T14:01:07.905911image/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 9
 
0.2%
192493.751896833 7
 
0.1%
184629.104887058 7
 
0.1%
185009.709198951 7
 
0.1%
189366.88271546 7
 
0.1%
185078.704454017 6
 
0.1%
178583.750710724 6
 
0.1%
Other values (3285) 4303
75.1%
(Missing) 1347
 
23.5%
ValueCountFrequency (%)
173992.30883079 1
< 0.1%
174029.34754803 1
< 0.1%
174143.075915609 1
< 0.1%
174226.136061123 1
< 0.1%
174282.637515014 2
< 0.1%
174285.477360553 1
< 0.1%
174315.265600106 1
< 0.1%
174330.963124212 2
< 0.1%
174331.206459644 1
< 0.1%
174353.573757884 1
< 0.1%
ValueCountFrequency (%)
444606.040629202 1
< 0.1%
211721.210733823 1
< 0.1%
211123.294037 1
< 0.1%
210951.640409 1
< 0.1%
210853.725594626 1
< 0.1%
210837.59783397 1
< 0.1%
210795.258306 1
< 0.1%
210735.315853947 1
< 0.1%
210715.757646941 1
< 0.1%
210672.872936 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
대기배출업소관리
5733 

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 5733
100.0%

Length

2024-04-17T14:01:08.019953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:08.096683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5733
100.0%

업종구분명
Text

MISSING 

Distinct485
Distinct (%)15.8%
Missing2663
Missing (%)46.5%
Memory size44.9 KiB
2024-04-17T14:01:08.355666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length10.747231
Min length2

Characters and Unicode

Total characters32994
Distinct characters294
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

Unique205 ?
Unique (%)6.7%

Sample

1st row유선 및 위성 방송업
2nd row종합 병원
3rd row백화점
4th row부동산 임대업
5th row소방서
ValueCountFrequency (%)
제조업 1368
 
14.7%
965
 
10.4%
기타 687
 
7.4%
도금업 395
 
4.3%
자동차 337
 
3.6%
조립금속제품 231
 
2.5%
수리업 222
 
2.4%
종합 139
 
1.5%
가공업 128
 
1.4%
그외 117
 
1.3%
Other values (615) 4701
50.6%
2024-04-17T14:01:08.757656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6221
18.9%
3012
 
9.1%
2473
 
7.5%
1898
 
5.8%
1086
 
3.3%
1064
 
3.2%
1012
 
3.1%
987
 
3.0%
718
 
2.2%
712
 
2.2%
Other values (284) 13811
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26576
80.5%
Space Separator 6221
 
18.9%
Other Punctuation 177
 
0.5%
Decimal Number 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3012
 
11.3%
2473
 
9.3%
1898
 
7.1%
1086
 
4.1%
1064
 
4.0%
1012
 
3.8%
987
 
3.7%
718
 
2.7%
712
 
2.7%
622
 
2.3%
Other values (279) 12992
48.9%
Other Punctuation
ValueCountFrequency (%)
, 159
89.8%
· 13
 
7.3%
; 5
 
2.8%
Space Separator
ValueCountFrequency (%)
6221
100.0%
Decimal Number
ValueCountFrequency (%)
1 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26576
80.5%
Common 6418
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3012
 
11.3%
2473
 
9.3%
1898
 
7.1%
1086
 
4.1%
1064
 
4.0%
1012
 
3.8%
987
 
3.7%
718
 
2.7%
712
 
2.7%
622
 
2.3%
Other values (279) 12992
48.9%
Common
ValueCountFrequency (%)
6221
96.9%
, 159
 
2.5%
1 20
 
0.3%
· 13
 
0.2%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26576
80.5%
ASCII 6405
 
19.4%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6221
97.1%
, 159
 
2.5%
1 20
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3012
 
11.3%
2473
 
9.3%
1898
 
7.1%
1086
 
4.1%
1064
 
4.0%
1012
 
3.8%
987
 
3.7%
718
 
2.7%
712
 
2.7%
622
 
2.3%
Other values (279) 12992
48.9%
None
ValueCountFrequency (%)
· 13
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.9 KiB
5종
3189 
4종
1856 
3종
 
316
2종
 
186
<NA>
 
132

Length

Max length4
Median length2
Mean length2.0460492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 3189
55.6%
4종 1856
32.4%
3종 316
 
5.5%
2종 186
 
3.2%
<NA> 132
 
2.3%
1종 54
 
0.9%

Length

2024-04-17T14:01:08.881703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:01:08.983305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 3189
55.6%
4종 1856
32.4%
3종 316
 
5.5%
2종 186
 
3.2%
na 132
 
2.3%
1종 54
 
0.9%

주생산품명
Text

MISSING 

Distinct562
Distinct (%)68.1%
Missing4908
Missing (%)85.6%
Memory size44.9 KiB
2024-04-17T14:01:09.236692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length19
Mean length6.2412121
Min length1

Characters and Unicode

Total characters5149
Distinct characters389
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

Unique451 ?
Unique (%)54.7%

Sample

1st row하수처리수
2nd row180111-0003896
3rd row자동차
4th row탁주
5th row자동차
ValueCountFrequency (%)
도금된 49
 
4.6%
자동차부품 31
 
2.9%
자동차 28
 
2.6%
산업기계부품 23
 
2.2%
도금된자동차부품 15
 
1.4%
14
 
1.3%
금속제품 13
 
1.2%
기계부품 12
 
1.1%
12
 
1.1%
도금 9
 
0.9%
Other values (591) 851
80.5%
2024-04-17T14:01:09.626830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
5.7%
232
 
4.5%
212
 
4.1%
188
 
3.7%
183
 
3.6%
164
 
3.2%
151
 
2.9%
149
 
2.9%
142
 
2.8%
127
 
2.5%
Other values (379) 3308
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4442
86.3%
Space Separator 232
 
4.5%
Uppercase Letter 197
 
3.8%
Lowercase Letter 110
 
2.1%
Decimal Number 72
 
1.4%
Other Punctuation 58
 
1.1%
Close Punctuation 14
 
0.3%
Open Punctuation 14
 
0.3%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
293
 
6.6%
212
 
4.8%
188
 
4.2%
183
 
4.1%
164
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (317) 2728
61.4%
Uppercase Letter
ValueCountFrequency (%)
E 28
14.2%
L 17
 
8.6%
C 16
 
8.1%
P 16
 
8.1%
A 13
 
6.6%
I 12
 
6.1%
S 12
 
6.1%
R 12
 
6.1%
T 12
 
6.1%
H 10
 
5.1%
Other values (12) 49
24.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
14.5%
t 12
10.9%
r 11
 
10.0%
a 10
 
9.1%
s 7
 
6.4%
h 5
 
4.5%
b 5
 
4.5%
p 5
 
4.5%
o 5
 
4.5%
d 5
 
4.5%
Other values (12) 29
26.4%
Decimal Number
ValueCountFrequency (%)
1 18
25.0%
0 10
13.9%
3 10
13.9%
6 7
 
9.7%
5 6
 
8.3%
2 6
 
8.3%
4 5
 
6.9%
9 4
 
5.6%
8 4
 
5.6%
7 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 54
93.1%
. 2
 
3.4%
/ 1
 
1.7%
& 1
 
1.7%
Space Separator
ValueCountFrequency (%)
232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4442
86.3%
Common 400
 
7.8%
Latin 307
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
293
 
6.6%
212
 
4.8%
188
 
4.2%
183
 
4.1%
164
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (317) 2728
61.4%
Latin
ValueCountFrequency (%)
E 28
 
9.1%
L 17
 
5.5%
e 16
 
5.2%
C 16
 
5.2%
P 16
 
5.2%
A 13
 
4.2%
I 12
 
3.9%
S 12
 
3.9%
t 12
 
3.9%
R 12
 
3.9%
Other values (34) 153
49.8%
Common
ValueCountFrequency (%)
232
58.0%
, 54
 
13.5%
1 18
 
4.5%
) 14
 
3.5%
( 14
 
3.5%
- 10
 
2.5%
0 10
 
2.5%
3 10
 
2.5%
6 7
 
1.8%
5 6
 
1.5%
Other values (8) 25
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4442
86.3%
ASCII 707
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
293
 
6.6%
212
 
4.8%
188
 
4.2%
183
 
4.1%
164
 
3.7%
151
 
3.4%
149
 
3.4%
142
 
3.2%
127
 
2.9%
105
 
2.4%
Other values (317) 2728
61.4%
ASCII
ValueCountFrequency (%)
232
32.8%
, 54
 
7.6%
E 28
 
4.0%
1 18
 
2.5%
L 17
 
2.4%
e 16
 
2.3%
C 16
 
2.3%
P 16
 
2.3%
) 14
 
2.0%
( 14
 
2.0%
Other values (52) 282
39.9%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct170
Distinct (%)3.5%
Missing868
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean6.897665
Minimum0
Maximum365
Zeros1061
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:10.071173image/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 deviation7.7742387
Coefficient of variation (CV)1.1270827
Kurtosis929.42399
Mean6.897665
Median Absolute Deviation (MAD)1
Skewness20.976448
Sum33557.14
Variance60.438788
MonotonicityNot monotonic
2024-04-17T14:01:10.187511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 2280
39.8%
0.0 1061
18.5%
24.0 196
 
3.4%
2.0 192
 
3.3%
4.0 142
 
2.5%
6.0 126
 
2.2%
10.0 117
 
2.0%
3.0 87
 
1.5%
5.0 66
 
1.2%
12.0 63
 
1.1%
Other values (160) 535
 
9.3%
(Missing) 868
 
15.1%
ValueCountFrequency (%)
0.0 1061
18.5%
0.2 1
 
< 0.1%
0.4 1
 
< 0.1%
0.6 1
 
< 0.1%
0.66 1
 
< 0.1%
1.0 32
 
0.6%
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 

Distinct167
Distinct (%)3.8%
Missing1289
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean222.33956
Minimum0
Maximum365
Zeros1034
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:10.303696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1116
median300
Q3300
95-th percentile300
Maximum365
Range365
Interquartile range (IQR)184

Descriptive statistics

Standard deviation128.96321
Coefficient of variation (CV)0.58002817
Kurtosis-0.74824278
Mean222.33956
Median Absolute Deviation (MAD)0
Skewness-1.0615238
Sum988077
Variance16631.509
MonotonicityNot monotonic
2024-04-17T14:01:10.426409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2661
46.4%
0 1034
 
18.0%
365 89
 
1.6%
240 80
 
1.4%
250 42
 
0.7%
260 24
 
0.4%
264 20
 
0.3%
312 19
 
0.3%
280 18
 
0.3%
180 15
 
0.3%
Other values (157) 442
 
7.7%
(Missing) 1289
22.5%
ValueCountFrequency (%)
0 1034
18.0%
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 89
1.6%
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%
Missing2219
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean6.31786
Minimum0
Maximum310
Zeros1115
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:10.543879image/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 deviation13.419062
Coefficient of variation (CV)2.1239885
Kurtosis343.45794
Mean6.31786
Median Absolute Deviation (MAD)4
Skewness16.714893
Sum22200.96
Variance180.07122
MonotonicityNot monotonic
2024-04-17T14:01:10.662652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 1415
24.7%
0.0 1115
19.4%
2.0 177
 
3.1%
24.0 129
 
2.3%
4.0 107
 
1.9%
6.0 105
 
1.8%
3.0 72
 
1.3%
10.0 60
 
1.0%
5.0 46
 
0.8%
12.0 37
 
0.6%
Other values (67) 251
 
4.4%
(Missing) 2219
38.7%
ValueCountFrequency (%)
0.0 1115
19.4%
0.2 1
 
< 0.1%
1.0 25
 
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%
24.0 129
2.3%
23.0 3
 
0.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)3.5%
Missing1974
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean203.75499
Minimum0
Maximum365
Zeros1116
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-04-17T14:01:10.780799image/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 deviation138.41411
Coefficient of variation (CV)0.67931643
Kurtosis-1.3725009
Mean203.75499
Median Absolute Deviation (MAD)0
Skewness-0.72901709
Sum765915
Variance19158.466
MonotonicityNot monotonic
2024-04-17T14:01:10.898257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2063
36.0%
0 1116
19.5%
365 86
 
1.5%
240 82
 
1.4%
250 47
 
0.8%
260 22
 
0.4%
264 18
 
0.3%
312 17
 
0.3%
200 13
 
0.2%
280 11
 
0.2%
Other values (121) 284
 
5.0%
(Missing) 1974
34.4%
ValueCountFrequency (%)
0 1116
19.5%
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 86
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 4
 
0.1%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5733
Missing (%)100.0%
Memory size50.5 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
57235724대기오염물질배출시설설치사업장09_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>
57245725대기오염물질배출시설설치사업장09_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>
57255726대기오염물질배출시설설치사업장09_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>
57265727대기오염물질배출시설설치사업장09_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>
57275728대기오염물질배출시설설치사업장09_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>
57285729대기오염물질배출시설설치사업장09_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>
57295730대기오염물질배출시설설치사업장09_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>
57305731대기오염물질배출시설설치사업장09_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>
57315732대기오염물질배출시설설치사업장09_30_08_P333000033300002120000005620060313<NA>4취소/말소/만료/정지/중지4폐쇄20060313<NA><NA><NA><NA><NA>612061부산광역시 해운대구 반여동 1502-1번지<NA><NA>해운대자원재활용센타20060313171132I2018-10-04 11:12:49.0공공관계 서비스업394217.73849193088.861199대기배출업소관리공공관계 서비스업5종<NA>12.03120.00<NA>
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