Overview

Dataset statistics

Number of variables36
Number of observations4172
Missing cells31186
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory309.0 B

Variable types

Numeric14
Categorical11
Unsupported3
Text7
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085195&dataSetDetailId=DDI_0000085263&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.7%)Imbalance
휴업종료일자 is highly imbalanced (99.7%)Imbalance
인허가일자 has 140 (3.4%) missing valuesMissing
인허가취소일자 has 4172 (100.0%) missing valuesMissing
폐업일자 has 2425 (58.1%) missing valuesMissing
재개업일자 has 4172 (100.0%) missing valuesMissing
소재지전화 has 661 (15.8%) missing valuesMissing
소재지면적 has 4172 (100.0%) missing valuesMissing
소재지우편번호 has 3249 (77.9%) missing valuesMissing
소재지전체주소 has 159 (3.8%) missing valuesMissing
도로명전체주소 has 1053 (25.2%) missing valuesMissing
도로명우편번호 has 2570 (61.6%) missing valuesMissing
업태구분명 has 1401 (33.6%) missing valuesMissing
좌표정보(X) has 941 (22.6%) missing valuesMissing
좌표정보(Y) has 941 (22.6%) missing valuesMissing
업종구분명 has 1401 (33.6%) missing valuesMissing
주생산품명 has 2794 (67.0%) missing valuesMissing
배출시설조업시간 has 56 (1.3%) missing valuesMissing
배출시설연간가동일수 has 59 (1.4%) missing valuesMissing
방지시설조업시간 has 416 (10.0%) missing valuesMissing
방지시설연간가동일수 has 404 (9.7%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.79576466)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
배출시설조업시간 has 1376 (33.0%) zerosZeros
배출시설연간가동일수 has 1390 (33.3%) zerosZeros
방지시설조업시간 has 1375 (33.0%) zerosZeros
방지시설연간가동일수 has 1382 (33.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:22:17.344173
Analysis finished2023-12-10 18:22:20.455338
Duration3.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2086.5
Minimum1
Maximum4172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:20.591460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile209.55
Q11043.75
median2086.5
Q33129.25
95-th percentile3963.45
Maximum4172
Range4171
Interquartile range (IQR)2085.5

Descriptive statistics

Standard deviation1204.497
Coefficient of variation (CV)0.57728109
Kurtosis-1.2
Mean2086.5
Median Absolute Deviation (MAD)1043
Skewness0
Sum8704878
Variance1450813
MonotonicityStrictly increasing
2023-12-11T03:22:20.849016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2773 1
 
< 0.1%
2775 1
 
< 0.1%
2776 1
 
< 0.1%
2777 1
 
< 0.1%
2778 1
 
< 0.1%
2779 1
 
< 0.1%
2780 1
 
< 0.1%
2781 1
 
< 0.1%
2782 1
 
< 0.1%
Other values (4162) 4162
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 (%)
4172 1
< 0.1%
4171 1
< 0.1%
4170 1
< 0.1%
4169 1
< 0.1%
4168 1
< 0.1%
4167 1
< 0.1%
4166 1
< 0.1%
4165 1
< 0.1%
4164 1
< 0.1%
4163 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
대기오염물질배출시설설치사업장
4172 

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 4172
100.0%

Length

2023-12-11T03:22:21.048325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:21.216284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4172
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
09_30_08_P
4172 

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 4172
100.0%

Length

2023-12-11T03:22:21.383991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:21.546621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4172
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456404.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:21.683288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13430000
median3470000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20503.545
Coefficient of variation (CV)0.0059320442
Kurtosis-1.3374601
Mean3456404.6
Median Absolute Deviation (MAD)10000
Skewness-0.49680791
Sum1.442012 × 1010
Variance4.2039536 × 108
MonotonicityIncreasing
2023-12-11T03:22:21.848840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1668
40.0%
3430000 1085
26.0%
3480000 687
16.5%
3450000 444
 
10.6%
3420000 166
 
4.0%
3460000 76
 
1.8%
3410000 29
 
0.7%
3440000 17
 
0.4%
ValueCountFrequency (%)
3410000 29
 
0.7%
3420000 166
 
4.0%
3430000 1085
26.0%
3440000 17
 
0.4%
3450000 444
 
10.6%
3460000 76
 
1.8%
3470000 1668
40.0%
3480000 687
16.5%
ValueCountFrequency (%)
3480000 687
16.5%
3470000 1668
40.0%
3460000 76
 
1.8%
3450000 444
 
10.6%
3440000 17
 
0.4%
3430000 1085
26.0%
3420000 166
 
4.0%
3410000 29
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564048 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:22.087121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1017
5-th percentile3.4300002 × 1017
Q13.4300002 × 1017
median3.4700002 × 1017
Q33.4700002 × 1017
95-th percentile3.4800002 × 1017
Maximum3.4800002 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.0503545 × 1015
Coefficient of variation (CV)0.0059320439
Kurtosis-1.3374601
Mean3.4564048 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.49680791
Sum3.1660507 × 1018
Variance4.2039536 × 1030
MonotonicityNot monotonic
2023-12-11T03:22:22.335344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021201500014 1
 
< 0.1%
347000021199500044 1
 
< 0.1%
347000021199500046 1
 
< 0.1%
347000021199600001 1
 
< 0.1%
347000021199600002 1
 
< 0.1%
347000021199600004 1
 
< 0.1%
347000021199600005 1
 
< 0.1%
347000021199600006 1
 
< 0.1%
347000021199600007 1
 
< 0.1%
347000021198700008 1
 
< 0.1%
Other values (4162) 4162
99.8%
ValueCountFrequency (%)
341000021200400001 1
< 0.1%
341000021200400002 1
< 0.1%
341000021200700001 1
< 0.1%
341000021201400001 1
< 0.1%
341000021201500001 1
< 0.1%
341000021201500002 1
< 0.1%
341000021201500004 1
< 0.1%
341000021201500005 1
< 0.1%
341000021201500006 1
< 0.1%
341000021201500008 1
< 0.1%
ValueCountFrequency (%)
348000021202000009 1
< 0.1%
348000021202000008 1
< 0.1%
348000021202000007 1
< 0.1%
348000021202000006 1
< 0.1%
348000021202000005 1
< 0.1%
348000021202000004 1
< 0.1%
348000021202000003 1
< 0.1%
348000021202000002 1
< 0.1%
348000021202000001 1
< 0.1%
348000021201900035 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2581
Distinct (%)64.0%
Missing140
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean20030883
Minimum19010101
Maximum20200528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:22.602839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870111
Q119990824
median20040701
Q320120424
95-th percentile20170964
Maximum20200528
Range1190427
Interquartile range (IQR)129600.5

Descriptive statistics

Standard deviation147699.5
Coefficient of variation (CV)0.0073735892
Kurtosis27.018851
Mean20030883
Median Absolute Deviation (MAD)70276
Skewness-4.3000434
Sum8.0764519 × 1010
Variance2.1815142 × 1010
MonotonicityNot monotonic
2023-12-11T03:22:22.836690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.8%
19010101 52
 
1.2%
20040702 48
 
1.2%
20040621 36
 
0.9%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.6%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2571) 3701
88.7%
(Missing) 140
 
3.4%
ValueCountFrequency (%)
19010101 52
1.2%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
19781205 1
 
< 0.1%
19781229 1
 
< 0.1%
19790220 6
 
0.1%
ValueCountFrequency (%)
20200528 1
 
< 0.1%
20200515 1
 
< 0.1%
20200330 3
0.1%
20200317 1
 
< 0.1%
20200303 1
 
< 0.1%
20200228 1
 
< 0.1%
20200218 1
 
< 0.1%
20200217 1
 
< 0.1%
20200130 3
0.1%
20200121 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4172
Missing (%)100.0%
Memory size36.8 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
3
1920 
1
1867 
4
375 
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1920
46.0%
1 1867
44.8%
4 375
 
9.0%
2 10
 
0.2%

Length

2023-12-11T03:22:23.028011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:23.178499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1920
46.0%
1 1867
44.8%
4 375
 
9.0%
2 10
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
폐업
1920 
영업/정상
1867 
취소/말소/만료/정지/중지
375 
휴업
 
10

Length

Max length14
Median length5
Mean length4.4211409
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1920
46.0%
영업/정상 1867
44.8%
취소/말소/만료/정지/중지 375
 
9.0%
휴업 10
 
0.2%

Length

2023-12-11T03:22:23.388046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:23.568232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1920
46.0%
영업/정상 1867
44.8%
취소/말소/만료/정지/중지 375
 
9.0%
휴업 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
2
1920 
11
1867 
4
375 
1
 
10

Length

Max length2
Median length1
Mean length1.4475072
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row4
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
2 1920
46.0%
11 1867
44.8%
4 375
 
9.0%
1 10
 
0.2%

Length

2023-12-11T03:22:23.760849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:23.926079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1920
46.0%
11 1867
44.8%
4 375
 
9.0%
1 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
폐업
1920 
영업
1867 
폐쇄
375 
휴업
 
10

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1920
46.0%
영업 1867
44.8%
폐쇄 375
 
9.0%
휴업 10
 
0.2%

Length

2023-12-11T03:22:24.090410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:24.258897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1920
46.0%
영업 1867
44.8%
폐쇄 375
 
9.0%
휴업 10
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1095
Distinct (%)62.7%
Missing2425
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean20091629
Minimum19930721
Maximum20200529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:24.471887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030551
Q120050428
median20081008
Q320130308
95-th percentile20190326
Maximum20200529
Range269808
Interquartile range (IQR)79880

Descriptive statistics

Standard deviation50916.639
Coefficient of variation (CV)0.0025342215
Kurtosis-0.67012152
Mean20091629
Median Absolute Deviation (MAD)39600
Skewness0.58735647
Sum3.5100076 × 1010
Variance2.5925041 × 109
MonotonicityNot monotonic
2023-12-11T03:22:24.719103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.7%
20081008 52
 
1.2%
20040701 38
 
0.9%
20081006 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091216 11
 
0.3%
20091218 11
 
0.3%
20040630 10
 
0.2%
20040601 10
 
0.2%
Other values (1085) 1470
35.2%
(Missing) 2425
58.1%
ValueCountFrequency (%)
19930721 1
< 0.1%
19940225 1
< 0.1%
20001018 1
< 0.1%
20001108 1
< 0.1%
20001216 1
< 0.1%
20001219 1
< 0.1%
20010131 1
< 0.1%
20010205 1
< 0.1%
20010208 1
< 0.1%
20010310 1
< 0.1%
ValueCountFrequency (%)
20200529 1
< 0.1%
20200528 1
< 0.1%
20200525 1
< 0.1%
20200430 1
< 0.1%
20200413 1
< 0.1%
20200403 1
< 0.1%
20200401 1
< 0.1%
20200327 1
< 0.1%
20200317 2
< 0.1%
20200316 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
<NA>
4171 
20181101
 
1

Length

Max length8
Median length4
Mean length4.0009588
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> 4171
> 99.9%
20181101 1
 
< 0.1%

Length

2023-12-11T03:22:24.944990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:25.135683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4171
> 99.9%
20181101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
<NA>
4171 
20201031
 
1

Length

Max length8
Median length4
Mean length4.0009588
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> 4171
> 99.9%
20201031 1
 
< 0.1%

Length

2023-12-11T03:22:25.336549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:25.516296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4171
> 99.9%
20201031 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4172
Missing (%)100.0%
Memory size36.8 KiB

소재지전화
Text

MISSING 

Distinct3271
Distinct (%)93.2%
Missing661
Missing (%)15.8%
Memory size32.7 KiB
2023-12-11T03:22:25.867758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8823697
Min length3

Characters and Unicode

Total characters34697
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

Unique3057 ?
Unique (%)87.1%

Sample

1st row593-3198
2nd row053-251-6019
3rd row0534288984
4th row0532502000
5th row0532579663
ValueCountFrequency (%)
053 511
 
10.0%
581 121
 
2.4%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
356 26
 
0.5%
562 25
 
0.5%
584 23
 
0.5%
567 23
 
0.5%
053615 23
 
0.5%
Other values (3234) 4176
81.7%
2023-12-11T03:22:26.442285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7186
20.7%
3 5212
15.0%
0 5058
14.6%
1 3153
9.1%
8 2580
 
7.4%
6 2475
 
7.1%
2 2088
 
6.0%
7 1676
 
4.8%
1610
 
4.6%
4 1593
 
4.6%
Other values (4) 2066
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32450
93.5%
Space Separator 1610
 
4.6%
Dash Punctuation 635
 
1.8%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7186
22.1%
3 5212
16.1%
0 5058
15.6%
1 3153
9.7%
8 2580
 
8.0%
6 2475
 
7.6%
2 2088
 
6.4%
7 1676
 
5.2%
4 1593
 
4.9%
9 1429
 
4.4%
Space Separator
ValueCountFrequency (%)
1610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7186
20.7%
3 5212
15.0%
0 5058
14.6%
1 3153
9.1%
8 2580
 
7.4%
6 2475
 
7.1%
2 2088
 
6.0%
7 1676
 
4.8%
1610
 
4.6%
4 1593
 
4.6%
Other values (4) 2066
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7186
20.7%
3 5212
15.0%
0 5058
14.6%
1 3153
9.1%
8 2580
 
7.4%
6 2475
 
7.1%
2 2088
 
6.0%
7 1676
 
4.8%
1610
 
4.6%
4 1593
 
4.6%
Other values (4) 2066
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4172
Missing (%)100.0%
Memory size36.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)12.5%
Missing3249
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean693026.93
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:26.619096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile701300
Q1704070
median704330
Q3704900
95-th percentile711855
Maximum711891
Range711887
Interquartile range (IQR)830

Descriptive statistics

Standard deviation92053.558
Coefficient of variation (CV)0.13282826
Kurtosis52.902896
Mean693026.93
Median Absolute Deviation (MAD)500
Skewness-7.3984736
Sum6.3966386 × 108
Variance8.4738575 × 109
MonotonicityNot monotonic
2023-12-11T03:22:26.813189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704190 63
 
1.5%
703830 58
 
1.4%
704900 55
 
1.3%
711855 39
 
0.9%
704330 39
 
0.9%
704801 37
 
0.9%
704400 36
 
0.9%
704170 35
 
0.8%
703833 34
 
0.8%
704200 32
 
0.8%
Other values (105) 495
 
11.9%
(Missing) 3249
77.9%
ValueCountFrequency (%)
4 1
 
< 0.1%
8 1
 
< 0.1%
704 14
0.3%
700761 1
 
< 0.1%
701040 1
 
< 0.1%
701050 2
 
< 0.1%
701140 1
 
< 0.1%
701180 1
 
< 0.1%
701190 1
 
< 0.1%
701230 6
0.1%
ValueCountFrequency (%)
711891 7
0.2%
711890 2
 
< 0.1%
711882 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711871 4
0.1%
711863 2
 
< 0.1%
711860 1
 
< 0.1%
711858 3
0.1%
711857 3
0.1%

소재지전체주소
Text

MISSING 

Distinct3004
Distinct (%)74.9%
Missing159
Missing (%)3.8%
Memory size32.7 KiB
2023-12-11T03:22:27.318166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.654124
Min length13

Characters and Unicode

Total characters90911
Distinct characters206
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2314 ?
Unique (%)57.7%

Sample

1st row대구광역시 중구 수창동 47-1번지
2nd row대구광역시 중구 남일동 138-3번지 국민은행대구지점
3rd row대구광역시 중구 대봉동 111-1번지
4th row대구광역시 중구 덕산동 53-3번지 동아쇼핑센터
5th row대구광역시 중구 동산동 234번지 대구제일교회교육관
ValueCountFrequency (%)
대구광역시 4013
23.5%
달서구 1460
 
8.5%
서구 1031
 
6.0%
달성군 842
 
4.9%
북구 438
 
2.6%
이현동 369
 
2.2%
갈산동 369
 
2.2%
비산동 348
 
2.0%
논공읍 333
 
1.9%
중리동 264
 
1.5%
Other values (3043) 7616
44.6%
2023-12-11T03:22:28.038951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17098
18.8%
7338
 
8.1%
4295
 
4.7%
4015
 
4.4%
4014
 
4.4%
4014
 
4.4%
4006
 
4.4%
3800
 
4.2%
1 3444
 
3.8%
3443
 
3.8%
Other values (196) 35444
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52795
58.1%
Decimal Number 17493
 
19.2%
Space Separator 17098
 
18.8%
Dash Punctuation 3093
 
3.4%
Uppercase Letter 156
 
0.2%
Close Punctuation 123
 
0.1%
Open Punctuation 106
 
0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7338
13.9%
4295
 
8.1%
4015
 
7.6%
4014
 
7.6%
4014
 
7.6%
4006
 
7.6%
3800
 
7.2%
3443
 
6.5%
2529
 
4.8%
2305
 
4.4%
Other values (175) 13036
24.7%
Decimal Number
ValueCountFrequency (%)
1 3444
19.7%
2 2349
13.4%
0 2005
11.5%
3 1994
11.4%
4 1594
9.1%
5 1322
 
7.6%
6 1283
 
7.3%
9 1238
 
7.1%
7 1210
 
6.9%
8 1054
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
52.6%
L 69
44.2%
A 4
 
2.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17098
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3093
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52796
58.1%
Common 37955
41.7%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7338
13.9%
4295
 
8.1%
4015
 
7.6%
4014
 
7.6%
4014
 
7.6%
4006
 
7.6%
3800
 
7.2%
3443
 
6.5%
2529
 
4.8%
2305
 
4.4%
Other values (176) 13037
24.7%
Common
ValueCountFrequency (%)
17098
45.0%
1 3444
 
9.1%
- 3093
 
8.1%
2 2349
 
6.2%
0 2005
 
5.3%
3 1994
 
5.3%
4 1594
 
4.2%
5 1322
 
3.5%
6 1283
 
3.4%
9 1238
 
3.3%
Other values (5) 2535
 
6.7%
Latin
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
b 4
 
2.5%
A 4
 
2.5%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52795
58.1%
ASCII 38115
41.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17098
44.9%
1 3444
 
9.0%
- 3093
 
8.1%
2 2349
 
6.2%
0 2005
 
5.3%
3 1994
 
5.2%
4 1594
 
4.2%
5 1322
 
3.5%
6 1283
 
3.4%
9 1238
 
3.2%
Other values (10) 2695
 
7.1%
Hangul
ValueCountFrequency (%)
7338
13.9%
4295
 
8.1%
4015
 
7.6%
4014
 
7.6%
4014
 
7.6%
4006
 
7.6%
3800
 
7.2%
3443
 
6.5%
2529
 
4.8%
2305
 
4.4%
Other values (175) 13036
24.7%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2710
Distinct (%)86.9%
Missing1053
Missing (%)25.2%
Memory size32.7 KiB
2023-12-11T03:22:28.562793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.546329
Min length19

Characters and Unicode

Total characters79679
Distinct characters283
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2386 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
4th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
5th row대구광역시 중구 경상감영길 80 (포정동, 대구우체국)
ValueCountFrequency (%)
대구광역시 3119
 
19.7%
달서구 1007
 
6.4%
서구 819
 
5.2%
달성군 621
 
3.9%
북구 428
 
2.7%
논공읍 309
 
2.0%
이현동 277
 
1.8%
비산동 272
 
1.7%
갈산동 242
 
1.5%
노원동3가 238
 
1.5%
Other values (1577) 8488
53.7%
2023-12-11T03:22:29.283499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13434
 
16.9%
5889
 
7.4%
3642
 
4.6%
3130
 
3.9%
3124
 
3.9%
3122
 
3.9%
3034
 
3.8%
2933
 
3.7%
2910
 
3.7%
) 2593
 
3.3%
Other values (273) 35868
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48465
60.8%
Space Separator 13434
 
16.9%
Decimal Number 11906
 
14.9%
Close Punctuation 2593
 
3.3%
Open Punctuation 2593
 
3.3%
Dash Punctuation 514
 
0.6%
Other Punctuation 146
 
0.2%
Uppercase Letter 27
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5889
 
12.2%
3642
 
7.5%
3130
 
6.5%
3124
 
6.4%
3122
 
6.4%
3034
 
6.3%
2933
 
6.1%
2910
 
6.0%
2050
 
4.2%
2035
 
4.2%
Other values (248) 16596
34.2%
Decimal Number
ValueCountFrequency (%)
1 2226
18.7%
3 1699
14.3%
2 1666
14.0%
5 1092
9.2%
4 1062
8.9%
6 995
8.4%
7 902
7.6%
9 806
 
6.8%
8 733
 
6.2%
0 725
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
E 1
 
3.7%
C 1
 
3.7%
S 1
 
3.7%
G 1
 
3.7%
T 1
 
3.7%
Space Separator
ValueCountFrequency (%)
13434
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 514
100.0%
Other Punctuation
ValueCountFrequency (%)
, 146
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48466
60.8%
Common 31186
39.1%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5889
 
12.2%
3642
 
7.5%
3130
 
6.5%
3124
 
6.4%
3122
 
6.4%
3034
 
6.3%
2933
 
6.1%
2910
 
6.0%
2050
 
4.2%
2035
 
4.2%
Other values (249) 16597
34.2%
Common
ValueCountFrequency (%)
13434
43.1%
) 2593
 
8.3%
( 2593
 
8.3%
1 2226
 
7.1%
3 1699
 
5.4%
2 1666
 
5.3%
5 1092
 
3.5%
4 1062
 
3.4%
6 995
 
3.2%
7 902
 
2.9%
Other values (5) 2924
 
9.4%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
E 1
 
3.7%
C 1
 
3.7%
S 1
 
3.7%
G 1
 
3.7%
T 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48465
60.8%
ASCII 31213
39.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13434
43.0%
) 2593
 
8.3%
( 2593
 
8.3%
1 2226
 
7.1%
3 1699
 
5.4%
2 1666
 
5.3%
5 1092
 
3.5%
4 1062
 
3.4%
6 995
 
3.2%
7 902
 
2.9%
Other values (14) 2951
 
9.5%
Hangul
ValueCountFrequency (%)
5889
 
12.2%
3642
 
7.5%
3130
 
6.5%
3124
 
6.4%
3122
 
6.4%
3034
 
6.3%
2933
 
6.1%
2910
 
6.0%
2050
 
4.2%
2035
 
4.2%
Other values (248) 16596
34.2%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)18.9%
Missing2570
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean447178.22
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:29.517572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142718
median702834.5
Q3704833
95-th percentile711855
Maximum711892
Range670885
Interquartile range (IQR)662115

Descriptive statistics

Standard deviation323538.46
Coefficient of variation (CV)0.72351122
Kurtosis-1.7964143
Mean447178.22
Median Absolute Deviation (MAD)8979.5
Skewness-0.45338924
Sum7.1637951 × 108
Variance1.0467713 × 1011
MonotonicityNot monotonic
2023-12-11T03:22:29.756027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 78
 
1.9%
702815 50
 
1.2%
711855 45
 
1.1%
704833 44
 
1.1%
704190 42
 
1.0%
703830 39
 
0.9%
703825 37
 
0.9%
702872 33
 
0.8%
704920 29
 
0.7%
Other values (293) 1116
26.7%
(Missing) 2570
61.6%
ValueCountFrequency (%)
41007 1
 
< 0.1%
41052 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 10
0.2%
41079 4
 
0.1%
41081 4
 
0.1%
41082 1
 
< 0.1%
41097 1
 
< 0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 2
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 19
0.5%
711857 16
0.4%
Distinct3552
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
2023-12-11T03:22:30.533071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1689837
Min length2

Characters and Unicode

Total characters29909
Distinct characters565
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3060 ?
Unique (%)73.3%

Sample

1st row(주)대구에치티개발
2nd row신일모터스
3rd row(주)국민은행 대구지점
4th row이지스티디에이치제32호사모부동사투자유한회사
5th row대구우체국
ValueCountFrequency (%)
주식회사 48
 
1.1%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 13
 
0.3%
성서공장 10
 
0.2%
10
 
0.2%
대구지점 8
 
0.2%
비산공장 7
 
0.2%
태성산업 7
 
0.2%
대구사업소 6
 
0.1%
Other values (3648) 4383
96.6%
2023-12-11T03:22:31.217287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1947
 
6.5%
) 1925
 
6.4%
1851
 
6.2%
972
 
3.2%
821
 
2.7%
781
 
2.6%
739
 
2.5%
628
 
2.1%
483
 
1.6%
460
 
1.5%
Other values (555) 19302
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24700
82.6%
Open Punctuation 1948
 
6.5%
Close Punctuation 1926
 
6.4%
Uppercase Letter 369
 
1.2%
Space Separator 364
 
1.2%
Other Punctuation 216
 
0.7%
Other Symbol 201
 
0.7%
Decimal Number 165
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1851
 
7.5%
972
 
3.9%
821
 
3.3%
781
 
3.2%
739
 
3.0%
628
 
2.5%
483
 
2.0%
460
 
1.9%
460
 
1.9%
457
 
1.9%
Other values (498) 17048
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 43
 
11.7%
C 33
 
8.9%
T 30
 
8.1%
E 26
 
7.0%
M 21
 
5.7%
O 20
 
5.4%
K 20
 
5.4%
D 20
 
5.4%
P 20
 
5.4%
G 17
 
4.6%
Other values (15) 119
32.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
m 1
 
7.1%
r 1
 
7.1%
a 1
 
7.1%
o 1
 
7.1%
c 1
 
7.1%
t 1
 
7.1%
n 1
 
7.1%
g 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 75
45.5%
1 57
34.5%
3 17
 
10.3%
8 6
 
3.6%
5 4
 
2.4%
6 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 103
47.7%
, 85
39.4%
& 16
 
7.4%
/ 7
 
3.2%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1947
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1925
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
364
100.0%
Other Symbol
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24901
83.3%
Common 4625
 
15.5%
Latin 383
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1851
 
7.4%
972
 
3.9%
821
 
3.3%
781
 
3.1%
739
 
3.0%
628
 
2.5%
483
 
1.9%
460
 
1.8%
460
 
1.8%
457
 
1.8%
Other values (499) 17249
69.3%
Latin
ValueCountFrequency (%)
S 43
 
11.2%
C 33
 
8.6%
T 30
 
7.8%
E 26
 
6.8%
M 21
 
5.5%
O 20
 
5.2%
K 20
 
5.2%
D 20
 
5.2%
P 20
 
5.2%
G 17
 
4.4%
Other values (25) 133
34.7%
Common
ValueCountFrequency (%)
( 1947
42.1%
) 1925
41.6%
364
 
7.9%
. 103
 
2.2%
, 85
 
1.8%
2 75
 
1.6%
1 57
 
1.2%
3 17
 
0.4%
& 16
 
0.3%
/ 7
 
0.2%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24700
82.6%
ASCII 5006
 
16.7%
None 203
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1947
38.9%
) 1925
38.5%
364
 
7.3%
. 103
 
2.1%
, 85
 
1.7%
2 75
 
1.5%
1 57
 
1.1%
S 43
 
0.9%
C 33
 
0.7%
T 30
 
0.6%
Other values (45) 344
 
6.9%
Hangul
ValueCountFrequency (%)
1851
 
7.5%
972
 
3.9%
821
 
3.3%
781
 
3.2%
739
 
3.0%
628
 
2.5%
483
 
2.0%
460
 
1.9%
460
 
1.9%
457
 
1.9%
Other values (498) 17048
69.0%
None
ValueCountFrequency (%)
201
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4171
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132912 × 1013
Minimum2.0001018 × 1013
Maximum2.0200529 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:31.494853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040624 × 1013
Q12.0090716 × 1013
median2.0150328 × 1013
Q32.0181101 × 1013
95-th percentile2.0200313 × 1013
Maximum2.0200529 × 1013
Range1.9951101 × 1011
Interquartile range (IQR)9.0385023 × 1010

Descriptive statistics

Standard deviation5.3163729 × 1010
Coefficient of variation (CV)0.0026406378
Kurtosis-1.0726664
Mean2.0132912 × 1013
Median Absolute Deviation (MAD)3.9915064 × 1010
Skewness-0.43990516
Sum8.3994509 × 1016
Variance2.8263821 × 1021
MonotonicityNot monotonic
2023-12-11T03:22:31.795360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20190923085351 1
 
< 0.1%
20060612131201 1
 
< 0.1%
20030411103603 1
 
< 0.1%
20050627165106 1
 
< 0.1%
20081008115306 1
 
< 0.1%
20081118112002 1
 
< 0.1%
20041227151636 1
 
< 0.1%
20071113113232 1
 
< 0.1%
20081118112312 1
 
< 0.1%
Other values (4161) 4161
99.7%
ValueCountFrequency (%)
20001018165055 1
< 0.1%
20010104114108 1
< 0.1%
20010131100554 1
< 0.1%
20010328174344 1
< 0.1%
20010511135104 1
< 0.1%
20010605181832 1
< 0.1%
20010605182545 1
< 0.1%
20010605193518 1
< 0.1%
20010605194306 1
< 0.1%
20010625143852 1
< 0.1%
ValueCountFrequency (%)
20200529175230 1
< 0.1%
20200529164957 1
< 0.1%
20200529154608 1
< 0.1%
20200528172009 1
< 0.1%
20200528144643 1
< 0.1%
20200528100421 1
< 0.1%
20200528100053 1
< 0.1%
20200527180330 1
< 0.1%
20200527172846 1
< 0.1%
20200527142700 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
I
3197 
U
975 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3197
76.6%
U 975
 
23.4%

Length

2023-12-11T03:22:32.054920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:32.219805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3197
76.6%
u 975
 
23.4%
Distinct421
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
Minimum2018-09-01 23:59:59
Maximum2020-05-31 02:40:00
2023-12-11T03:22:32.417650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:22:32.682962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct400
Distinct (%)14.4%
Missing1401
Missing (%)33.6%
Memory size32.7 KiB
2023-12-11T03:22:33.183876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.311079
Min length2

Characters and Unicode

Total characters31343
Distinct characters291
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

Unique180 ?
Unique (%)6.5%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1394
 
16.1%
기타 870
 
10.0%
774
 
8.9%
자동차 322
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 263
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 203
 
2.3%
Other values (538) 3755
43.4%
2023-12-11T03:22:34.049745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5888
18.8%
2825
 
9.0%
2442
 
7.8%
1783
 
5.7%
1230
 
3.9%
1067
 
3.4%
942
 
3.0%
841
 
2.7%
784
 
2.5%
672
 
2.1%
Other values (281) 12869
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25302
80.7%
Space Separator 5888
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5888
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25302
80.7%
Common 6041
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
Common
ValueCountFrequency (%)
5888
97.5%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25302
80.7%
ASCII 6035
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5888
97.6%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2509
Distinct (%)77.7%
Missing941
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean337768.89
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:34.375630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328268.98
Q1335015.8
median337648.12
Q3339928.35
95-th percentile348311.83
Maximum357474.36
Range32647.303
Interquartile range (IQR)4912.559

Descriptive statistics

Standard deviation5711.6232
Coefficient of variation (CV)0.016909856
Kurtosis1.7657007
Mean337768.89
Median Absolute Deviation (MAD)2513.5475
Skewness0.80362433
Sum1.0913313 × 109
Variance32622639
MonotonicityNot monotonic
2023-12-11T03:22:34.667075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.3%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
338653.414866 7
 
0.2%
336559.670287 7
 
0.2%
339163.824109 7
 
0.2%
335898.647221 7
 
0.2%
338853.934043 6
 
0.1%
339372.436369 6
 
0.1%
339267.316441 6
 
0.1%
Other values (2499) 3158
75.7%
(Missing) 941
 
22.6%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
325928.444036 1
< 0.1%
325935.356421 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 1
 
< 0.1%
355715.873404 2
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2507
Distinct (%)77.6%
Missing941
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean261082.03
Minimum236283.75
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:35.113511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236283.75
5-th percentile248103.76
Q1259891.37
median262831.86
Q3265695.64
95-th percentile267894.71
Maximum278091.65
Range41807.907
Interquartile range (IQR)5804.2728

Descriptive statistics

Standard deviation6929.955
Coefficient of variation (CV)0.02654321
Kurtosis2.5035106
Mean261082.03
Median Absolute Deviation (MAD)2906.3875
Skewness-1.6573316
Sum8.4355604 × 108
Variance48024277
MonotonicityNot monotonic
2023-12-11T03:22:35.421165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
258962.00812 7
 
0.2%
265188.870359 7
 
0.2%
263466.441258 7
 
0.2%
261730.820003 7
 
0.2%
263796.947456 6
 
0.1%
260602.149585 6
 
0.1%
266176.21665 6
 
0.1%
Other values (2497) 3158
75.7%
(Missing) 941
 
22.6%
ValueCountFrequency (%)
236283.746887 1
< 0.1%
237677.093671 1
< 0.1%
237682.121457 1
< 0.1%
237686.085459 1
< 0.1%
237690.289797 1
< 0.1%
237692.765575 1
< 0.1%
237817.514628 1
< 0.1%
237831.890224 1
< 0.1%
237833.64806 1
< 0.1%
237835.998538 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274498.743064 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
272735.67566 1
< 0.1%
272669.414848 1
< 0.1%
271973.249974 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
대기배출업소관리
4172 

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 4172
100.0%

Length

2023-12-11T03:22:35.743471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:35.989770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4172
100.0%

업종구분명
Text

MISSING 

Distinct400
Distinct (%)14.4%
Missing1401
Missing (%)33.6%
Memory size32.7 KiB
2023-12-11T03:22:36.444937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.311079
Min length2

Characters and Unicode

Total characters31343
Distinct characters291
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

Unique180 ?
Unique (%)6.5%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1394
 
16.1%
기타 870
 
10.0%
774
 
8.9%
자동차 322
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 263
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 203
 
2.3%
Other values (538) 3755
43.4%
2023-12-11T03:22:37.168886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5888
18.8%
2825
 
9.0%
2442
 
7.8%
1783
 
5.7%
1230
 
3.9%
1067
 
3.4%
942
 
3.0%
841
 
2.7%
784
 
2.5%
672
 
2.1%
Other values (281) 12869
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25302
80.7%
Space Separator 5888
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5888
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25302
80.7%
Common 6041
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
Common
ValueCountFrequency (%)
5888
97.5%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25302
80.7%
ASCII 6035
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5888
97.6%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2825
 
11.2%
2442
 
9.7%
1783
 
7.0%
1230
 
4.9%
1067
 
4.2%
942
 
3.7%
841
 
3.3%
784
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (276) 12134
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
5종
2190 
4종
1360 
3종
 
208
<NA>
 
187
2종
 
185

Length

Max length4
Median length2
Mean length2.0896453
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2190
52.5%
4종 1360
32.6%
3종 208
 
5.0%
<NA> 187
 
4.5%
2종 185
 
4.4%
1종 42
 
1.0%

Length

2023-12-11T03:22:37.437245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:22:37.660983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2190
52.5%
4종 1360
32.6%
3종 208
 
5.0%
na 187
 
4.5%
2종 185
 
4.4%
1종 42
 
1.0%

주생산품명
Text

MISSING 

Distinct861
Distinct (%)62.5%
Missing2794
Missing (%)67.0%
Memory size32.7 KiB
2023-12-11T03:22:38.121521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length5.9375907
Min length1

Characters and Unicode

Total characters8182
Distinct characters453
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)50.4%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 175
 
9.9%
자동차 43
 
2.4%
36
 
2.0%
안경테 29
 
1.6%
27
 
1.5%
부품 25
 
1.4%
가공원단 20
 
1.1%
전자부품 19
 
1.1%
고무시트 19
 
1.1%
자동차정비 17
 
1.0%
Other values (889) 1364
76.9%
2023-12-11T03:22:38.858725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
 
6.1%
409
 
5.0%
396
 
4.8%
392
 
4.8%
351
 
4.3%
345
 
4.2%
159
 
1.9%
159
 
1.9%
136
 
1.7%
, 128
 
1.6%
Other values (443) 5207
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7161
87.5%
Space Separator 396
 
4.8%
Uppercase Letter 242
 
3.0%
Other Punctuation 142
 
1.7%
Lowercase Letter 79
 
1.0%
Open Punctuation 65
 
0.8%
Close Punctuation 65
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 6
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
136
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (382) 4471
62.4%
Uppercase Letter
ValueCountFrequency (%)
P 44
18.2%
E 38
15.7%
C 20
8.3%
L 18
7.4%
D 17
 
7.0%
T 16
 
6.6%
I 15
 
6.2%
O 14
 
5.8%
R 10
 
4.1%
S 8
 
3.3%
Other values (12) 42
17.4%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.4%
e 8
10.1%
r 8
10.1%
t 7
 
8.9%
i 7
 
8.9%
l 6
 
7.6%
a 5
 
6.3%
f 5
 
6.3%
n 3
 
3.8%
u 3
 
3.8%
Other values (11) 18
22.8%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
6 4
16.0%
8 3
12.0%
2 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
4 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 128
90.1%
. 11
 
7.7%
/ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
396
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7161
87.5%
Common 700
 
8.6%
Latin 321
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
136
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (382) 4471
62.4%
Latin
ValueCountFrequency (%)
P 44
 
13.7%
E 38
 
11.8%
C 20
 
6.2%
L 18
 
5.6%
D 17
 
5.3%
T 16
 
5.0%
I 15
 
4.7%
O 14
 
4.4%
R 10
 
3.1%
o 9
 
2.8%
Other values (33) 120
37.4%
Common
ValueCountFrequency (%)
396
56.6%
, 128
 
18.3%
( 65
 
9.3%
) 65
 
9.3%
. 11
 
1.6%
- 6
 
0.9%
1 6
 
0.9%
0 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (8) 11
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7161
87.5%
ASCII 1020
 
12.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
500
 
7.0%
409
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
136
 
1.9%
127
 
1.8%
112
 
1.6%
Other values (382) 4471
62.4%
ASCII
ValueCountFrequency (%)
396
38.8%
, 128
 
12.5%
( 65
 
6.4%
) 65
 
6.4%
P 44
 
4.3%
E 38
 
3.7%
C 20
 
2.0%
L 18
 
1.8%
D 17
 
1.7%
T 16
 
1.6%
Other values (50) 213
20.9%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing56
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.6442298
Minimum0
Maximum912
Zeros1376
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:39.121976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum912
Range912
Interquartile range (IQR)8

Descriptive statistics

Standard deviation15.904073
Coefficient of variation (CV)2.0805331
Kurtosis2541.5578
Mean7.6442298
Median Absolute Deviation (MAD)4
Skewness44.795765
Sum31463.65
Variance252.93955
MonotonicityNot monotonic
2023-12-11T03:22:39.329308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1489
35.7%
0.0 1376
33.0%
24.0 433
 
10.4%
10.0 224
 
5.4%
6.0 83
 
2.0%
12.0 70
 
1.7%
20.0 59
 
1.4%
5.0 58
 
1.4%
7.0 53
 
1.3%
4.0 51
 
1.2%
Other values (23) 220
 
5.3%
(Missing) 56
 
1.3%
ValueCountFrequency (%)
0.0 1376
33.0%
1.0 11
 
0.3%
1.5 1
 
< 0.1%
2.0 13
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.5%
3.5 1
 
< 0.1%
4.0 51
 
1.2%
5.0 58
 
1.4%
6.0 83
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 433
10.4%
22.0 13
 
0.3%
21.0 8
 
0.2%
20.0 59
 
1.4%
19.0 3
 
0.1%
18.0 7
 
0.2%
17.0 2
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)2.2%
Missing59
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean194.47751
Minimum0
Maximum365
Zeros1390
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:39.560206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile312
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation142.27609
Coefficient of variation (CV)0.7315812
Kurtosis-1.5824639
Mean194.47751
Median Absolute Deviation (MAD)0
Skewness-0.58601682
Sum799886
Variance20242.486
MonotonicityNot monotonic
2023-12-11T03:22:39.828208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2134
51.2%
0 1390
33.3%
240 60
 
1.4%
365 53
 
1.3%
312 40
 
1.0%
264 31
 
0.7%
360 30
 
0.7%
250 27
 
0.6%
180 24
 
0.6%
280 23
 
0.6%
Other values (80) 301
 
7.2%
(Missing) 59
 
1.4%
ValueCountFrequency (%)
0 1390
33.3%
8 1
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 53
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 30
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
340 14
 
0.3%
338 1
 
< 0.1%
336 13
 
0.3%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.9%
Missing416
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean7.2469782
Minimum0
Maximum360
Zeros1375
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:40.052703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum360
Range360
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.813667
Coefficient of variation (CV)1.4921622
Kurtosis418.93162
Mean7.2469782
Median Absolute Deviation (MAD)7
Skewness15.044983
Sum27219.65
Variance116.9354
MonotonicityNot monotonic
2023-12-11T03:22:40.298718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 1375
33.0%
8.0 1343
32.2%
24.0 365
 
8.7%
10.0 184
 
4.4%
6.0 66
 
1.6%
12.0 56
 
1.3%
5.0 55
 
1.3%
7.0 50
 
1.2%
20.0 47
 
1.1%
16.0 41
 
1.0%
Other values (22) 174
 
4.2%
(Missing) 416
 
10.0%
ValueCountFrequency (%)
0.0 1375
33.0%
1.0 10
 
0.2%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 39
 
0.9%
5.0 55
 
1.3%
6.0 66
 
1.6%
7.0 50
 
1.2%
7.5 2
 
< 0.1%
8.0 1343
32.2%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
264.0 1
 
< 0.1%
210.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 3
 
0.1%
24.0 365
8.7%
22.0 10
 
0.2%
21.0 8
 
0.2%
20.0 47
 
1.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)2.1%
Missing404
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean187.19188
Minimum0
Maximum365
Zeros1382
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:22:40.541960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile305
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation144.76062
Coefficient of variation (CV)0.77332746
Kurtosis-1.7112227
Mean187.19188
Median Absolute Deviation (MAD)0
Skewness-0.48680275
Sum705339
Variance20955.637
MonotonicityNot monotonic
2023-12-11T03:22:40.797397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1927
46.2%
0 1382
33.1%
240 47
 
1.1%
312 40
 
1.0%
365 31
 
0.7%
360 25
 
0.6%
250 24
 
0.6%
280 22
 
0.5%
264 22
 
0.5%
330 18
 
0.4%
Other values (68) 230
 
5.5%
(Missing) 404
 
9.7%
ValueCountFrequency (%)
0 1382
33.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
ValueCountFrequency (%)
365 31
0.7%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 25
0.6%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
0.3%
340 12
 
0.3%
338 1
 
< 0.1%
336 11
 
0.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001420151209<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)41910(주)대구에치티개발20190923085351U2019-09-25 02:40:00.0<NA>343991.737064265000.0215대기배출업소관리<NA>5종<NA>4.0150<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120140000120140626<NA>4취소/말소/만료/정지/중지4폐쇄20191205<NA><NA><NA>593-3198<NA><NA>대구광역시 중구 수창동 47-1번지대구광역시 중구 달성로26길 86 (수창동)700850신일모터스20191205182833U2019-12-07 02:40:00.0<NA>343222.95548265036.439644대기배출업소관리<NA>5종<NA>8.0300<NA>300
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3번지 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20190923192853U2019-09-25 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>6.0180<NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20190923085954U2019-09-25 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>6.0240<NA><NA>
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
41624163대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000720080318<NA>1영업/정상11영업<NA><NA><NA><NA>0536112233<NA><NA>대구광역시 달성군 구지면 예현리 758-6번지대구광역시 달성군 구지면 달성2차동1로 188711891(주)엠텍20191023141436U2019-10-25 02:40:00.0기타 화학제품 제조업328969.221689238905.478754대기배출업소관리기타 화학제품 제조업5종<NA>8.03008.0300
41634164대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000920080404<NA>1영업/정상11영업<NA><NA><NA><NA>0536119350<NA><NA>대구광역시 달성군 구지면 내리 847-10번지대구광역시 달성군 구지면 달성2차4로 59<NA>텍산(주)20191017203730U2019-10-19 02:40:00.0금속 열처리업328742.127143238572.966182대기배출업소관리금속 열처리업5종무한궤도24.030024.0300
41644165대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001020080417<NA>1영업/정상11영업<NA><NA><NA><NA>0535642201<NA><NA>대구광역시 달성군 구지면 예현리 761번지대구광역시 달성군 구지면 달성2차로 220711891(주)한국소방기구제작소 구지공장20181129163022U2018-12-01 02:40:00.0기타 화학제품 제조업329302.715181238662.711304대기배출업소관리기타 화학제품 제조업4종소화기8.03008.0300
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