Overview

Dataset statistics

Number of variables36
Number of observations4130
Missing cells31005
Missing cells (%)20.9%
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_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078133&dataSetDetailId=DDI_0000078169&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 4130 (100.0%) missing valuesMissing
폐업일자 has 2427 (58.8%) missing valuesMissing
재개업일자 has 4130 (100.0%) missing valuesMissing
소재지전화 has 659 (16.0%) missing valuesMissing
소재지면적 has 4130 (100.0%) missing valuesMissing
소재지우편번호 has 3204 (77.6%) missing valuesMissing
소재지전체주소 has 161 (3.9%) missing valuesMissing
도로명전체주소 has 1051 (25.4%) missing valuesMissing
도로명우편번호 has 2559 (62.0%) missing valuesMissing
업태구분명 has 1408 (34.1%) missing valuesMissing
좌표정보(X) has 940 (22.8%) missing valuesMissing
좌표정보(Y) has 940 (22.8%) missing valuesMissing
업종구분명 has 1408 (34.1%) missing valuesMissing
주생산품명 has 2773 (67.1%) missing valuesMissing
배출시설조업시간 has 57 (1.4%) missing valuesMissing
배출시설연간가동일수 has 60 (1.5%) missing valuesMissing
방지시설조업시간 has 420 (10.2%) missing valuesMissing
방지시설연간가동일수 has 408 (9.9%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.66844516)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 1378 (33.4%) zerosZeros
배출시설연간가동일수 has 1392 (33.7%) zerosZeros
방지시설조업시간 has 1376 (33.3%) zerosZeros
방지시설연간가동일수 has 1383 (33.5%) zerosZeros

Reproduction

Analysis started2023-12-10 18:41:38.730522
Analysis finished2023-12-10 18:41:41.569625
Duration2.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2065.5
Minimum1
Maximum4130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:41.721514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile207.45
Q11033.25
median2065.5
Q33097.75
95-th percentile3923.55
Maximum4130
Range4129
Interquartile range (IQR)2064.5

Descriptive statistics

Standard deviation1192.3726
Coefficient of variation (CV)0.57728038
Kurtosis-1.2
Mean2065.5
Median Absolute Deviation (MAD)1032.5
Skewness0
Sum8530515
Variance1421752.5
MonotonicityStrictly increasing
2023-12-11T03:41:42.014775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2776 1
 
< 0.1%
2746 1
 
< 0.1%
2747 1
 
< 0.1%
2748 1
 
< 0.1%
2749 1
 
< 0.1%
2750 1
 
< 0.1%
2751 1
 
< 0.1%
2752 1
 
< 0.1%
2753 1
 
< 0.1%
Other values (4120) 4120
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 (%)
4130 1
< 0.1%
4129 1
< 0.1%
4128 1
< 0.1%
4127 1
< 0.1%
4126 1
< 0.1%
4125 1
< 0.1%
4124 1
< 0.1%
4123 1
< 0.1%
4122 1
< 0.1%
4121 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
대기오염물질배출시설설치사업장
4130 

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 4130
100.0%

Length

2023-12-11T03:41:42.253547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:42.425011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4130
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
09_30_08_P
4130 

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 4130
100.0%

Length

2023-12-11T03:41:42.625763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:42.785450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4130
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456421.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:42.941188image/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 deviation20587.796
Coefficient of variation (CV)0.0059563907
Kurtosis-1.3426397
Mean3456421.3
Median Absolute Deviation (MAD)10000
Skewness-0.50101992
Sum1.427502 × 1010
Variance4.2385733 × 108
MonotonicityIncreasing
2023-12-11T03:41:43.113010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1659
40.2%
3430000 1083
26.2%
3480000 685
16.6%
3450000 410
 
9.9%
3420000 166
 
4.0%
3460000 80
 
1.9%
3410000 30
 
0.7%
3440000 17
 
0.4%
ValueCountFrequency (%)
3410000 30
 
0.7%
3420000 166
 
4.0%
3430000 1083
26.2%
3440000 17
 
0.4%
3450000 410
 
9.9%
3460000 80
 
1.9%
3470000 1659
40.2%
3480000 685
16.6%
ValueCountFrequency (%)
3480000 685
16.6%
3470000 1659
40.2%
3460000 80
 
1.9%
3450000 410
 
9.9%
3440000 17
 
0.4%
3430000 1083
26.2%
3420000 166
 
4.0%
3410000 30
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564215 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:43.332621image/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 deviation2.0587796 × 1015
Coefficient of variation (CV)0.0059563903
Kurtosis-1.3426397
Mean3.4564215 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.50101992
Sum7.1027939 × 1018
Variance4.2385733 × 1030
MonotonicityNot monotonic
2023-12-11T03:41:43.598504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021201500014 1
 
< 0.1%
347000021199500014 1
 
< 0.1%
347000021201000017 1
 
< 0.1%
347000021201000018 1
 
< 0.1%
347000021201000019 1
 
< 0.1%
347000021201000021 1
 
< 0.1%
347000021201000022 1
 
< 0.1%
347000021201000024 1
 
< 0.1%
347000021201100005 1
 
< 0.1%
347000021201100006 1
 
< 0.1%
Other values (4120) 4120
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%
341000021201500003 1
< 0.1%
341000021201500004 1
< 0.1%
341000021201500005 1
< 0.1%
341000021201500006 1
< 0.1%
ValueCountFrequency (%)
348000021201900035 1
< 0.1%
348000021201900034 1
< 0.1%
348000021201900033 1
< 0.1%
348000021201900032 1
< 0.1%
348000021201900031 1
< 0.1%
348000021201900030 1
< 0.1%
348000021201900029 1
< 0.1%
348000021201900028 1
< 0.1%
348000021201900027 1
< 0.1%
348000021201900026 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2550
Distinct (%)63.9%
Missing140
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean20030564
Minimum19010101
Maximum20191121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:43.839676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870121
Q119990910
median20040701
Q320120419
95-th percentile20170726
Maximum20191121
Range1181020
Interquartile range (IQR)129509.25

Descriptive statistics

Standard deviation147830.49
Coefficient of variation (CV)0.0073802461
Kurtosis27.1783
Mean20030564
Median Absolute Deviation (MAD)70225.5
Skewness-4.3307377
Sum7.9921951 × 1010
Variance2.1853855 × 1010
MonotonicityNot monotonic
2023-12-11T03:41:44.080962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.8%
19010101 52
 
1.3%
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 (2540) 3659
88.6%
(Missing) 140
 
3.4%
ValueCountFrequency (%)
19010101 52
1.3%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
19781205 1
 
< 0.1%
19781229 1
 
< 0.1%
19790220 6
 
0.1%
19790227 1
 
< 0.1%
ValueCountFrequency (%)
20191121 1
 
< 0.1%
20191113 1
 
< 0.1%
20191104 1
 
< 0.1%
20191101 1
 
< 0.1%
20191031 1
 
< 0.1%
20191014 3
0.1%
20191011 1
 
< 0.1%
20191008 1
 
< 0.1%
20191007 1
 
< 0.1%
20191002 2
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4130
Missing (%)100.0%
Memory size36.4 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
3
1914 
1
1869 
4
337 
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1914
46.3%
1 1869
45.3%
4 337
 
8.2%
2 10
 
0.2%

Length

2023-12-11T03:41:44.299081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:44.694424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1914
46.3%
1 1869
45.3%
4 337
 
8.2%
2 10
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
1914 
영업/정상
1869 
취소/말소/만료/정지/중지
337 
휴업
 
10

Length

Max length14
Median length5
Mean length4.3368039
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1914
46.3%
영업/정상 1869
45.3%
취소/말소/만료/정지/중지 337
 
8.2%
휴업 10
 
0.2%

Length

2023-12-11T03:41:44.922098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:45.119414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1914
46.3%
영업/정상 1869
45.3%
취소/말소/만료/정지/중지 337
 
8.2%
휴업 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2
1914 
11
1869 
4
337 
1
 
10

Length

Max length2
Median length1
Mean length1.4525424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row2
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
2 1914
46.3%
11 1869
45.3%
4 337
 
8.2%
1 10
 
0.2%

Length

2023-12-11T03:41:45.315183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:45.464866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1914
46.3%
11 1869
45.3%
4 337
 
8.2%
1 10
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
1914 
영업
1869 
폐쇄
337 
휴업
 
10

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1914
46.3%
영업 1869
45.3%
폐쇄 337
 
8.2%
휴업 10
 
0.2%

Length

2023-12-11T03:41:45.638856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:45.801292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1914
46.3%
영업 1869
45.3%
폐쇄 337
 
8.2%
휴업 10
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1061
Distinct (%)62.3%
Missing2427
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20088902
Minimum19930721
Maximum20191126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:45.991185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030527
Q120050410
median20081006
Q320120714
95-th percentile20181030
Maximum20191126
Range260405
Interquartile range (IQR)70305

Descriptive statistics

Standard deviation48617.667
Coefficient of variation (CV)0.0024201256
Kurtosis-0.59024916
Mean20088902
Median Absolute Deviation (MAD)30886
Skewness0.59473013
Sum3.4211401 × 1010
Variance2.3636775 × 109
MonotonicityNot monotonic
2023-12-11T03:41:46.233145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.7%
20081008 52
 
1.3%
20040701 38
 
0.9%
20081006 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091218 11
 
0.3%
20091216 11
 
0.3%
20040630 10
 
0.2%
20040601 10
 
0.2%
Other values (1051) 1426
34.5%
(Missing) 2427
58.8%
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 (%)
20191126 1
< 0.1%
20191120 2
< 0.1%
20191108 1
< 0.1%
20191107 1
< 0.1%
20191106 1
< 0.1%
20191101 1
< 0.1%
20191030 1
< 0.1%
20191029 1
< 0.1%
20191021 2
< 0.1%
20191016 2
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
<NA>
4129 
20181101
 
1

Length

Max length8
Median length4
Mean length4.0009685
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> 4129
> 99.9%
20181101 1
 
< 0.1%

Length

2023-12-11T03:41:46.473568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:46.657543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
> 99.9%
20181101 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
<NA>
4129 
20201031
 
1

Length

Max length8
Median length4
Mean length4.0009685
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> 4129
> 99.9%
20201031 1
 
< 0.1%

Length

2023-12-11T03:41:46.820760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:46.999027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
> 99.9%
20201031 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4130
Missing (%)100.0%
Memory size36.4 KiB

소재지전화
Text

MISSING 

Distinct3231
Distinct (%)93.1%
Missing659
Missing (%)16.0%
Memory size32.4 KiB
2023-12-11T03:41:47.366889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8585422
Min length3

Characters and Unicode

Total characters34219
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3018 ?
Unique (%)86.9%

Sample

1st row053-431-5859
2nd row053-251-6019
3rd row0534288984
4th row0532502000
5th row0532579663
ValueCountFrequency (%)
053 503
 
10.0%
581 121
 
2.4%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
562 25
 
0.5%
356 24
 
0.5%
053615 23
 
0.5%
584 23
 
0.5%
567 23
 
0.5%
Other values (3195) 4132
81.7%
2023-12-11T03:41:47.982419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7087
20.7%
3 5122
15.0%
0 5001
14.6%
1 3127
9.1%
8 2566
 
7.5%
6 2443
 
7.1%
2 2059
 
6.0%
7 1643
 
4.8%
1596
 
4.7%
4 1586
 
4.6%
Other values (3) 1989
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32049
93.7%
Space Separator 1596
 
4.7%
Dash Punctuation 573
 
1.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7087
22.1%
3 5122
16.0%
0 5001
15.6%
1 3127
9.8%
8 2566
 
8.0%
6 2443
 
7.6%
2 2059
 
6.4%
7 1643
 
5.1%
4 1586
 
4.9%
9 1415
 
4.4%
Space Separator
ValueCountFrequency (%)
1596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 573
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7087
20.7%
3 5122
15.0%
0 5001
14.6%
1 3127
9.1%
8 2566
 
7.5%
6 2443
 
7.1%
2 2059
 
6.0%
7 1643
 
4.8%
1596
 
4.7%
4 1586
 
4.6%
Other values (3) 1989
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7087
20.7%
3 5122
15.0%
0 5001
14.6%
1 3127
9.1%
8 2566
 
7.5%
6 2443
 
7.1%
2 2059
 
6.0%
7 1643
 
4.8%
1596
 
4.7%
4 1586
 
4.6%
Other values (3) 1989
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4130
Missing (%)100.0%
Memory size36.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)12.4%
Missing3204
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean693065
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:48.218400image/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 deviation91906.606
Coefficient of variation (CV)0.13260893
Kurtosis53.090037
Mean693065
Median Absolute Deviation (MAD)500
Skewness-7.4110954
Sum6.4177819 × 108
Variance8.4468242 × 109
MonotonicityNot monotonic
2023-12-11T03:41:48.458885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704190 64
 
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%
704070 32
 
0.8%
Other values (105) 497
 
12.0%
(Missing) 3204
77.6%
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 

Distinct2962
Distinct (%)74.6%
Missing161
Missing (%)3.9%
Memory size32.4 KiB
2023-12-11T03:41:49.035267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length22.662132
Min length13

Characters and Unicode

Total characters89946
Distinct characters210
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

Unique2273 ?
Unique (%)57.3%

Sample

1st row대구광역시 중구 남일동 138-3번지 국민은행대구지점
2nd row대구광역시 중구 대봉동 111-1번지
3rd row대구광역시 중구 수창동 47-1번지
4th row대구광역시 중구 남산동 219번지 대구가톨릭대학교신학대학
5th row대구광역시 중구 덕산동 53-3번지 동아쇼핑센터
ValueCountFrequency (%)
대구광역시 3969
23.5%
달서구 1451
 
8.6%
서구 1028
 
6.1%
달성군 840
 
5.0%
북구 404
 
2.4%
이현동 368
 
2.2%
갈산동 366
 
2.2%
비산동 347
 
2.1%
논공읍 331
 
2.0%
중리동 263
 
1.6%
Other values (3017) 7538
44.6%
2023-12-11T03:41:49.890860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16920
18.8%
7250
 
8.1%
4254
 
4.7%
3971
 
4.4%
3970
 
4.4%
3970
 
4.4%
3958
 
4.4%
3755
 
4.2%
3400
 
3.8%
1 3394
 
3.8%
Other values (200) 35104
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52251
58.1%
Decimal Number 17286
 
19.2%
Space Separator 16920
 
18.8%
Dash Punctuation 3056
 
3.4%
Uppercase Letter 156
 
0.2%
Close Punctuation 124
 
0.1%
Open Punctuation 107
 
0.1%
Other Punctuation 41
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7250
13.9%
4254
 
8.1%
3971
 
7.6%
3970
 
7.6%
3970
 
7.6%
3958
 
7.6%
3755
 
7.2%
3400
 
6.5%
2517
 
4.8%
2294
 
4.4%
Other values (179) 12912
24.7%
Decimal Number
ValueCountFrequency (%)
1 3394
19.6%
2 2327
13.5%
0 1988
11.5%
3 1968
11.4%
4 1580
9.1%
5 1305
 
7.5%
6 1264
 
7.3%
9 1227
 
7.1%
7 1190
 
6.9%
8 1043
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
52.6%
L 69
44.2%
A 4
 
2.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
16920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52252
58.1%
Common 37534
41.7%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7250
13.9%
4254
 
8.1%
3971
 
7.6%
3970
 
7.6%
3970
 
7.6%
3958
 
7.6%
3755
 
7.2%
3400
 
6.5%
2517
 
4.8%
2294
 
4.4%
Other values (180) 12913
24.7%
Common
ValueCountFrequency (%)
16920
45.1%
1 3394
 
9.0%
- 3056
 
8.1%
2 2327
 
6.2%
0 1988
 
5.3%
3 1968
 
5.2%
4 1580
 
4.2%
5 1305
 
3.5%
6 1264
 
3.4%
9 1227
 
3.3%
Other values (5) 2505
 
6.7%
Latin
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
A 4
 
2.5%
b 4
 
2.5%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52251
58.1%
ASCII 37694
41.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16920
44.9%
1 3394
 
9.0%
- 3056
 
8.1%
2 2327
 
6.2%
0 1988
 
5.3%
3 1968
 
5.2%
4 1580
 
4.2%
5 1305
 
3.5%
6 1264
 
3.4%
9 1227
 
3.3%
Other values (10) 2665
 
7.1%
Hangul
ValueCountFrequency (%)
7250
13.9%
4254
 
8.1%
3971
 
7.6%
3970
 
7.6%
3970
 
7.6%
3958
 
7.6%
3755
 
7.2%
3400
 
6.5%
2517
 
4.8%
2294
 
4.4%
Other values (179) 12912
24.7%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2676
Distinct (%)86.9%
Missing1051
Missing (%)25.4%
Memory size32.4 KiB
2023-12-11T03:41:50.417858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.554076
Min length19

Characters and Unicode

Total characters78681
Distinct characters291
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

Unique2359 ?
Unique (%)76.6%

Sample

1st row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
2nd row대구광역시 중구 달구벌대로 2118 (봉산동, 업무시설)
3rd row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
4th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
5th row대구광역시 중구 경상감영길 80 (포정동, 대구우체국)
ValueCountFrequency (%)
대구광역시 3079
 
19.7%
달서구 997
 
6.4%
서구 817
 
5.2%
달성군 619
 
4.0%
북구 397
 
2.5%
논공읍 307
 
2.0%
이현동 276
 
1.8%
비산동 270
 
1.7%
갈산동 239
 
1.5%
중리동 231
 
1.5%
Other values (1583) 8392
53.7%
2023-12-11T03:41:51.250886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13286
 
16.9%
5813
 
7.4%
3607
 
4.6%
3091
 
3.9%
3084
 
3.9%
3082
 
3.9%
2997
 
3.8%
2892
 
3.7%
2890
 
3.7%
( 2558
 
3.3%
Other values (281) 35381
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47889
60.9%
Space Separator 13286
 
16.9%
Decimal Number 11717
 
14.9%
Open Punctuation 2558
 
3.3%
Close Punctuation 2558
 
3.3%
Dash Punctuation 499
 
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 (%)
5813
 
12.1%
3607
 
7.5%
3091
 
6.5%
3084
 
6.4%
3082
 
6.4%
2997
 
6.3%
2892
 
6.0%
2890
 
6.0%
2014
 
4.2%
2010
 
4.2%
Other values (256) 16409
34.3%
Decimal Number
ValueCountFrequency (%)
1 2184
18.6%
3 1656
14.1%
2 1637
14.0%
5 1076
9.2%
4 1052
9.0%
6 984
8.4%
7 890
7.6%
9 801
 
6.8%
0 720
 
6.1%
8 717
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
T 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
S 1
 
3.7%
Space Separator
ValueCountFrequency (%)
13286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2558
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 499
100.0%
Other Punctuation
ValueCountFrequency (%)
, 146
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47890
60.9%
Common 30764
39.1%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5813
 
12.1%
3607
 
7.5%
3091
 
6.5%
3084
 
6.4%
3082
 
6.4%
2997
 
6.3%
2892
 
6.0%
2890
 
6.0%
2014
 
4.2%
2010
 
4.2%
Other values (257) 16410
34.3%
Common
ValueCountFrequency (%)
13286
43.2%
( 2558
 
8.3%
) 2558
 
8.3%
1 2184
 
7.1%
3 1656
 
5.4%
2 1637
 
5.3%
5 1076
 
3.5%
4 1052
 
3.4%
6 984
 
3.2%
7 890
 
2.9%
Other values (5) 2883
 
9.4%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
T 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
S 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47889
60.9%
ASCII 30791
39.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13286
43.1%
( 2558
 
8.3%
) 2558
 
8.3%
1 2184
 
7.1%
3 1656
 
5.4%
2 1637
 
5.3%
5 1076
 
3.5%
4 1052
 
3.4%
6 984
 
3.2%
7 890
 
2.9%
Other values (14) 2910
 
9.5%
Hangul
ValueCountFrequency (%)
5813
 
12.1%
3607
 
7.5%
3091
 
6.5%
3084
 
6.4%
3082
 
6.4%
2997
 
6.3%
2892
 
6.0%
2890
 
6.0%
2014
 
4.2%
2010
 
4.2%
Other values (256) 16409
34.3%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct309
Distinct (%)19.7%
Missing2559
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean451822.23
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:51.612845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142718
median702862
Q3704900
95-th percentile711855.5
Maximum711892
Range670885
Interquartile range (IQR)662182

Descriptive statistics

Standard deviation322487.48
Coefficient of variation (CV)0.7137486
Kurtosis-1.7681491
Mean451822.23
Median Absolute Deviation (MAD)8952
Skewness-0.4835555
Sum7.0981272 × 108
Variance1.0399818 × 1011
MonotonicityNot monotonic
2023-12-11T03:41:51.912804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.2%
704801 78
 
1.9%
702815 48
 
1.2%
711855 46
 
1.1%
704190 43
 
1.0%
704833 43
 
1.0%
703830 39
 
0.9%
703825 37
 
0.9%
704920 29
 
0.7%
704901 28
 
0.7%
Other values (299) 1091
26.4%
(Missing) 2559
62.0%
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 10
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%
Distinct3516
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2023-12-11T03:41:52.438434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1949153
Min length2

Characters and Unicode

Total characters29715
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

Unique3027 ?
Unique (%)73.3%

Sample

1st row(주)대구에치티개발
2nd row에스에이치타워(주)
3rd row(주)국민은행 대구지점
4th row이지스티디에이치제32호사모부동사투자유한회사
5th row대구우체국
ValueCountFrequency (%)
주식회사 44
 
1.0%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 13
 
0.3%
10
 
0.2%
성서공장 10
 
0.2%
대구지점 8
 
0.2%
태성산업 7
 
0.2%
비산공장 7
 
0.2%
삼일산업 6
 
0.1%
Other values (3611) 4342
96.7%
2023-12-11T03:41:53.124519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1932
 
6.5%
) 1910
 
6.4%
1830
 
6.2%
966
 
3.3%
823
 
2.8%
785
 
2.6%
729
 
2.5%
619
 
2.1%
489
 
1.6%
460
 
1.5%
Other values (555) 19172
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24545
82.6%
Open Punctuation 1933
 
6.5%
Close Punctuation 1911
 
6.4%
Uppercase Letter 367
 
1.2%
Space Separator 361
 
1.2%
Other Punctuation 214
 
0.7%
Other Symbol 200
 
0.7%
Decimal Number 164
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1830
 
7.5%
966
 
3.9%
823
 
3.4%
785
 
3.2%
729
 
3.0%
619
 
2.5%
489
 
2.0%
460
 
1.9%
460
 
1.9%
455
 
1.9%
Other values (498) 16929
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 44
 
12.0%
C 33
 
9.0%
T 29
 
7.9%
E 26
 
7.1%
M 22
 
6.0%
K 21
 
5.7%
P 21
 
5.7%
O 20
 
5.4%
D 19
 
5.2%
G 17
 
4.6%
Other values (15) 115
31.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
g 1
 
7.1%
a 1
 
7.1%
n 1
 
7.1%
t 1
 
7.1%
o 1
 
7.1%
r 1
 
7.1%
c 1
 
7.1%
m 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 75
45.7%
1 56
34.1%
3 17
 
10.4%
8 6
 
3.7%
5 4
 
2.4%
6 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 101
47.2%
, 85
39.7%
& 16
 
7.5%
/ 7
 
3.3%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1932
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1910
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
361
100.0%
Other Symbol
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24745
83.3%
Common 4589
 
15.4%
Latin 381
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1830
 
7.4%
966
 
3.9%
823
 
3.3%
785
 
3.2%
729
 
2.9%
619
 
2.5%
489
 
2.0%
460
 
1.9%
460
 
1.9%
455
 
1.8%
Other values (499) 17129
69.2%
Latin
ValueCountFrequency (%)
S 44
 
11.5%
C 33
 
8.7%
T 29
 
7.6%
E 26
 
6.8%
M 22
 
5.8%
K 21
 
5.5%
P 21
 
5.5%
O 20
 
5.2%
D 19
 
5.0%
G 17
 
4.5%
Other values (25) 129
33.9%
Common
ValueCountFrequency (%)
( 1932
42.1%
) 1910
41.6%
361
 
7.9%
. 101
 
2.2%
, 85
 
1.9%
2 75
 
1.6%
1 56
 
1.2%
3 17
 
0.4%
& 16
 
0.3%
/ 7
 
0.2%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24545
82.6%
ASCII 4968
 
16.7%
None 202
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1932
38.9%
) 1910
38.4%
361
 
7.3%
. 101
 
2.0%
, 85
 
1.7%
2 75
 
1.5%
1 56
 
1.1%
S 44
 
0.9%
C 33
 
0.7%
T 29
 
0.6%
Other values (45) 342
 
6.9%
Hangul
ValueCountFrequency (%)
1830
 
7.5%
966
 
3.9%
823
 
3.4%
785
 
3.2%
729
 
3.0%
619
 
2.5%
489
 
2.0%
460
 
1.9%
460
 
1.9%
455
 
1.9%
Other values (498) 16929
69.0%
None
ValueCountFrequency (%)
200
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4128
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.013004 × 1013
Minimum2.0001018 × 1013
Maximum2.0191129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:53.372415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040619 × 1013
Q12.0090601 × 1013
median2.0141111 × 1013
Q32.0180117 × 1013
95-th percentile2.019091 × 1013
Maximum2.0191129 × 1013
Range1.90111 × 1011
Interquartile range (IQR)8.9515722 × 1010

Descriptive statistics

Standard deviation5.0972767 × 1010
Coefficient of variation (CV)0.0025321741
Kurtosis-1.0307447
Mean2.013004 × 1013
Median Absolute Deviation (MAD)3.9881012 × 1010
Skewness-0.48134726
Sum8.3137067 × 1016
Variance2.5982229 × 1021
MonotonicityNot monotonic
2023-12-11T03:41:53.656912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20160627095842 2
 
< 0.1%
20190923085351 1
 
< 0.1%
20130225180243 1
 
< 0.1%
20131224175350 1
 
< 0.1%
20170928133422 1
 
< 0.1%
20110826134545 1
 
< 0.1%
20130710175225 1
 
< 0.1%
20150326172508 1
 
< 0.1%
20130404162851 1
 
< 0.1%
Other values (4118) 4118
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 (%)
20191129164245 1
< 0.1%
20191129163809 1
< 0.1%
20191129161459 1
< 0.1%
20191129161201 1
< 0.1%
20191129152206 1
< 0.1%
20191129145809 1
< 0.1%
20191129112512 1
< 0.1%
20191129102602 1
< 0.1%
20191129090738 1
< 0.1%
20191129090654 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
I
3389 
U
741 

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 3389
82.1%
U 741
 
17.9%

Length

2023-12-11T03:41:53.895177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:54.056096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3389
82.1%
u 741
 
17.9%
Distinct324
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2018-09-01 23:59:59
Maximum2019-12-01 02:40:00
2023-12-11T03:41:54.218372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:41:54.426488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct402
Distinct (%)14.8%
Missing1408
Missing (%)34.1%
Memory size32.4 KiB
2023-12-11T03:41:54.886987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.341661
Min length2

Characters and Unicode

Total characters30872
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

Unique183 ?
Unique (%)6.7%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1368
 
16.0%
기타 854
 
10.0%
768
 
9.0%
자동차 318
 
3.7%
가공업 301
 
3.5%
염색 283
 
3.3%
섬유 260
 
3.0%
수리업 259
 
3.0%
조립금속제품 221
 
2.6%
그외 203
 
2.4%
Other values (541) 3703
43.4%
2023-12-11T03:41:55.582603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5818
18.8%
2774
 
9.0%
2395
 
7.8%
1744
 
5.6%
1207
 
3.9%
1046
 
3.4%
925
 
3.0%
834
 
2.7%
759
 
2.5%
660
 
2.1%
Other values (281) 12710
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24901
80.7%
Space Separator 5818
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5818
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24901
80.7%
Common 5971
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
Common
ValueCountFrequency (%)
5818
97.4%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24901
80.7%
ASCII 5965
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5818
97.5%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
None
ValueCountFrequency (%)
· 6
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2474
Distinct (%)77.6%
Missing940
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean337768.38
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:55.814001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328380.94
Q1335004.14
median337570.25
Q3339883.61
95-th percentile348511.17
Maximum357474.36
Range32647.303
Interquartile range (IQR)4879.4705

Descriptive statistics

Standard deviation5728.5178
Coefficient of variation (CV)0.016959899
Kurtosis1.7709978
Mean337768.38
Median Absolute Deviation (MAD)2469.6071
Skewness0.82943916
Sum1.0774811 × 109
Variance32815916
MonotonicityNot monotonic
2023-12-11T03:41:56.003237image/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%
339163.824109 7
 
0.2%
335898.647221 7
 
0.2%
336559.670287 7
 
0.2%
338653.414866 7
 
0.2%
338853.934043 6
 
0.1%
339372.436369 6
 
0.1%
339267.316441 6
 
0.1%
Other values (2464) 3117
75.5%
(Missing) 940
 
22.8%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 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%
325962.159745 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 

Distinct2472
Distinct (%)77.5%
Missing940
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean261043.42
Minimum236283.75
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:41:56.208915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236283.75
5-th percentile248214.08
Q1259885.97
median262664.86
Q3265475.96
95-th percentile267852.07
Maximum278091.65
Range41807.907
Interquartile range (IQR)5589.9903

Descriptive statistics

Standard deviation6908.5651
Coefficient of variation (CV)0.026465195
Kurtosis2.5188953
Mean261043.42
Median Absolute Deviation (MAD)2785.252
Skewness-1.6597751
Sum8.3272851 × 108
Variance47728272
MonotonicityNot monotonic
2023-12-11T03:41:56.413163image/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%
265188.870359 7
 
0.2%
258962.00812 7
 
0.2%
261730.820003 7
 
0.2%
263466.441258 7
 
0.2%
263299.390649 6
 
0.1%
266176.21665 6
 
0.1%
263796.947456 6
 
0.1%
Other values (2462) 3117
75.5%
(Missing) 940
 
22.8%
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%
271294.779784 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
대기배출업소관리
4130 

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 4130
100.0%

Length

2023-12-11T03:41:56.592145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:56.752120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4130
100.0%

업종구분명
Text

MISSING 

Distinct402
Distinct (%)14.8%
Missing1408
Missing (%)34.1%
Memory size32.4 KiB
2023-12-11T03:41:57.137906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.341661
Min length2

Characters and Unicode

Total characters30872
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

Unique183 ?
Unique (%)6.7%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1368
 
16.0%
기타 854
 
10.0%
768
 
9.0%
자동차 318
 
3.7%
가공업 301
 
3.5%
염색 283
 
3.3%
섬유 260
 
3.0%
수리업 259
 
3.0%
조립금속제품 221
 
2.6%
그외 203
 
2.4%
Other values (541) 3703
43.4%
2023-12-11T03:41:57.756024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5818
18.8%
2774
 
9.0%
2395
 
7.8%
1744
 
5.6%
1207
 
3.9%
1046
 
3.4%
925
 
3.0%
834
 
2.7%
759
 
2.5%
660
 
2.1%
Other values (281) 12710
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24901
80.7%
Space Separator 5818
 
18.8%
Other Punctuation 130
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
Other Punctuation
ValueCountFrequency (%)
, 119
91.5%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5818
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24901
80.7%
Common 5971
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
Common
ValueCountFrequency (%)
5818
97.4%
, 119
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24901
80.7%
ASCII 5965
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5818
97.5%
, 119
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2774
 
11.1%
2395
 
9.6%
1744
 
7.0%
1207
 
4.8%
1046
 
4.2%
925
 
3.7%
834
 
3.3%
759
 
3.0%
660
 
2.7%
569
 
2.3%
Other values (276) 11988
48.1%
None
ValueCountFrequency (%)
· 6
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
5종
2167 
4종
1335 
3종
 
209
2종
 
188
<NA>
 
187

Length

Max length4
Median length2
Mean length2.0905569
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2167
52.5%
4종 1335
32.3%
3종 209
 
5.1%
2종 188
 
4.6%
<NA> 187
 
4.5%
1종 44
 
1.1%

Length

2023-12-11T03:41:58.330435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:41:58.513254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2167
52.5%
4종 1335
32.3%
3종 209
 
5.1%
2종 188
 
4.6%
na 187
 
4.5%
1종 44
 
1.1%

주생산품명
Text

MISSING 

Distinct849
Distinct (%)62.6%
Missing2773
Missing (%)67.1%
Memory size32.4 KiB
2023-12-11T03:41:59.004916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length5.9130435
Min length1

Characters and Unicode

Total characters8024
Distinct characters453
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

Unique683 ?
Unique (%)50.3%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 172
 
9.9%
자동차 41
 
2.4%
36
 
2.1%
27
 
1.5%
안경테 26
 
1.5%
부품 23
 
1.3%
가공원단 20
 
1.1%
전자부품 19
 
1.1%
재생칩 17
 
1.0%
고무시트 17
 
1.0%
Other values (879) 1346
77.2%
2023-12-11T03:41:59.858255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
 
6.0%
398
 
5.0%
387
 
4.8%
381
 
4.7%
341
 
4.2%
336
 
4.2%
158
 
2.0%
156
 
1.9%
132
 
1.6%
, 124
 
1.5%
Other values (443) 5126
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7027
87.6%
Space Separator 387
 
4.8%
Uppercase Letter 237
 
3.0%
Other Punctuation 138
 
1.7%
Lowercase Letter 78
 
1.0%
Close Punctuation 63
 
0.8%
Open Punctuation 63
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
485
 
6.9%
398
 
5.7%
381
 
5.4%
341
 
4.9%
336
 
4.8%
158
 
2.2%
156
 
2.2%
132
 
1.9%
123
 
1.8%
110
 
1.6%
Other values (383) 4407
62.7%
Uppercase Letter
ValueCountFrequency (%)
P 43
18.1%
E 38
16.0%
C 20
8.4%
D 17
 
7.2%
L 17
 
7.2%
T 16
 
6.8%
I 15
 
6.3%
O 13
 
5.5%
R 10
 
4.2%
S 7
 
3.0%
Other values (12) 41
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.5%
e 8
10.3%
r 8
10.3%
t 7
 
9.0%
l 6
 
7.7%
i 6
 
7.7%
f 5
 
6.4%
a 5
 
6.4%
u 3
 
3.8%
n 3
 
3.8%
Other values (11) 18
23.1%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
6 4
16.0%
8 3
12.0%
5 2
 
8.0%
2 2
 
8.0%
4 1
 
4.0%
9 1
 
4.0%
7 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 124
89.9%
. 11
 
8.0%
/ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7027
87.6%
Common 682
 
8.5%
Latin 315
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
485
 
6.9%
398
 
5.7%
381
 
5.4%
341
 
4.9%
336
 
4.8%
158
 
2.2%
156
 
2.2%
132
 
1.9%
123
 
1.8%
110
 
1.6%
Other values (383) 4407
62.7%
Latin
ValueCountFrequency (%)
P 43
 
13.7%
E 38
 
12.1%
C 20
 
6.3%
D 17
 
5.4%
L 17
 
5.4%
T 16
 
5.1%
I 15
 
4.8%
O 13
 
4.1%
R 10
 
3.2%
o 9
 
2.9%
Other values (33) 117
37.1%
Common
ValueCountFrequency (%)
387
56.7%
, 124
 
18.2%
) 63
 
9.2%
( 63
 
9.2%
. 11
 
1.6%
1 6
 
0.9%
- 6
 
0.9%
0 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (7) 10
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7027
87.6%
ASCII 997
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
485
 
6.9%
398
 
5.7%
381
 
5.4%
341
 
4.9%
336
 
4.8%
158
 
2.2%
156
 
2.2%
132
 
1.9%
123
 
1.8%
110
 
1.6%
Other values (383) 4407
62.7%
ASCII
ValueCountFrequency (%)
387
38.8%
, 124
 
12.4%
) 63
 
6.3%
( 63
 
6.3%
P 43
 
4.3%
E 38
 
3.8%
C 20
 
2.0%
D 17
 
1.7%
L 17
 
1.7%
T 16
 
1.6%
Other values (50) 209
21.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing57
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.6078198
Minimum0
Maximum912
Zeros1378
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:42:00.134871image/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 deviation15.975637
Coefficient of variation (CV)2.0998968
Kurtosis2523.1062
Mean7.6078198
Median Absolute Deviation (MAD)4
Skewness44.668445
Sum30986.65
Variance255.22097
MonotonicityNot monotonic
2023-12-11T03:42:00.418408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1451
35.1%
0.0 1378
33.4%
24.0 430
 
10.4%
10.0 222
 
5.4%
6.0 83
 
2.0%
12.0 70
 
1.7%
5.0 61
 
1.5%
20.0 59
 
1.4%
4.0 53
 
1.3%
7.0 52
 
1.3%
Other values (23) 214
 
5.2%
(Missing) 57
 
1.4%
ValueCountFrequency (%)
0.0 1378
33.4%
1.0 11
 
0.3%
1.5 1
 
< 0.1%
2.0 12
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.5%
3.5 1
 
< 0.1%
4.0 53
 
1.3%
5.0 61
 
1.5%
6.0 83
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 430
10.4%
22.0 13
 
0.3%
21.0 7
 
0.2%
20.0 59
 
1.4%
19.0 3
 
0.1%
18.0 5
 
0.1%
17.0 2
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)2.2%
Missing60
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean192.98624
Minimum0
Maximum365
Zeros1392
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:42:00.706798image/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 deviation142.63273
Coefficient of variation (CV)0.73908237
Kurtosis-1.6081044
Mean192.98624
Median Absolute Deviation (MAD)0
Skewness-0.56335933
Sum785454
Variance20344.095
MonotonicityNot monotonic
2023-12-11T03:42:00.950819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2086
50.5%
0 1392
33.7%
240 62
 
1.5%
365 53
 
1.3%
312 42
 
1.0%
264 30
 
0.7%
360 29
 
0.7%
250 25
 
0.6%
180 25
 
0.6%
280 23
 
0.6%
Other values (81) 303
 
7.3%
(Missing) 60
 
1.5%
ValueCountFrequency (%)
0 1392
33.7%
8 1
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
52 1
 
< 0.1%
60 3
 
0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 53
1.3%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 29
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 

Distinct33
Distinct (%)0.9%
Missing420
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean7.2144609
Minimum0
Maximum360
Zeros1376
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:42:01.182896image/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 deviation10.866911
Coefficient of variation (CV)1.5062679
Kurtosis416.0406
Mean7.2144609
Median Absolute Deviation (MAD)8
Skewness15.015048
Sum26765.65
Variance118.08975
MonotonicityNot monotonic
2023-12-11T03:42:01.477245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 1376
33.3%
8.0 1305
31.6%
24.0 361
 
8.7%
10.0 182
 
4.4%
6.0 65
 
1.6%
5.0 56
 
1.4%
12.0 56
 
1.4%
7.0 49
 
1.2%
20.0 47
 
1.1%
16.0 41
 
1.0%
Other values (23) 172
 
4.2%
(Missing) 420
 
10.2%
ValueCountFrequency (%)
0.0 1376
33.3%
1.0 10
 
0.2%
2.0 9
 
0.2%
3.0 13
 
0.3%
4.0 40
 
1.0%
5.0 56
 
1.4%
6.0 65
 
1.6%
7.0 49
 
1.2%
7.5 2
 
< 0.1%
8.0 1305
31.6%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
264.0 1
 
< 0.1%
210.0 1
 
< 0.1%
100.0 1
 
< 0.1%
34.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 361
8.7%
22.0 11
 
0.3%
21.0 7
 
0.2%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)2.1%
Missing408
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean185.67625
Minimum0
Maximum365
Zeros1383
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size36.4 KiB
2023-12-11T03:42:01.809609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile306
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation145.1319
Coefficient of variation (CV)0.78163957
Kurtosis-1.7324515
Mean185.67625
Median Absolute Deviation (MAD)0
Skewness-0.46421869
Sum691087
Variance21063.269
MonotonicityNot monotonic
2023-12-11T03:42:02.088019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1879
45.5%
0 1383
33.5%
240 48
 
1.2%
312 42
 
1.0%
365 32
 
0.8%
360 24
 
0.6%
280 22
 
0.5%
250 22
 
0.5%
264 21
 
0.5%
330 20
 
0.5%
Other values (68) 229
 
5.5%
(Missing) 408
 
9.9%
ValueCountFrequency (%)
0 1383
33.5%
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 32
0.8%
362 1
 
< 0.1%
360 24
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%
335 3
 
0.1%

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_P341000034100002120150001220151207<NA>3폐업2폐업20171208<NA><NA><NA>053-431-5859<NA><NA><NA>대구광역시 중구 달구벌대로 2118 (봉산동, 업무시설)41958에스에이치타워(주)20181206101257U2018-12-08 02:40:00.0<NA>344002.684642263910.085339대기배출업소관리<NA>5종<NA>8.0180<NA><NA>
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>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001820151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532502000<NA><NA><NA>대구광역시 중구 경상감영길 80 (포정동, 대구우체국)41918대구우체국20191122171754U2019-11-26 02:40:00.0우편 및 소포 송달업343687.68301264634.313879대기배출업소관리우편 및 소포 송달업5종<NA>4.0100<NA><NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20190923090146U2019-09-25 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>3.0150<NA><NA>
67대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002020151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534299111<NA><NA><NA>대구광역시 중구 동성로 30 (동성로2가, 대구백화점건물)41938(주)대구백화점20151217130354I2018-10-04 11:12:49.0백화점344047.979265264405.128696대기배출업소관리백화점5종<NA>6.0180<NA><NA>
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002120151221<NA>1영업/정상11영업<NA><NA><NA><NA>0532453107<NA><NA><NA>대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점)41936(주)현대백화점 대구점20151228172513I2018-10-04 11:12:49.0<NA>343588.735555264119.01075대기배출업소관리<NA>4종<NA>10.0240<NA><NA>
89대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002220151221<NA>1영업/정상11영업<NA><NA><NA><NA>0534259811<NA><NA><NA>대구광역시 중구 중앙대로 418 (남일동, 우리은행)41937(주)우리은행 대구지점20190108083537U2019-01-10 02:40:00.0<NA>343902.069691264514.570586대기배출업소관리<NA>5종<NA>4.0120<NA><NA>
910대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002320151221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로 680 (동인동2가, 경북대학교 의과대학)41944경북대학교 실험동물자원관리센터20151221144035I2018-10-04 11:12:49.0<NA>344863.901287264294.617838대기배출업소관리<NA>4종<NA>24.0265<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
41204121대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000420080221<NA>1영업/정상11영업<NA><NA><NA><NA>0535913707<NA><NA>대구광역시 달성군 구지면 예현리 768-15번지대구광역시 달성군 구지면 달성2차동3로 7<NA>삼성분말야금(주)20160627102005I2018-10-04 11:12:49.0분말야금제품 제조업329175.580143237863.093552대기배출업소관리분말야금제품 제조업5종자동차부품24.036024.0360
41214122대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000520080221<NA>1영업/정상11영업<NA><NA><NA><NA>0533534086<NA><NA>대구광역시 달성군 논공읍 상리 703번지대구광역시 달성군 논공읍 비슬로262길 75-15<NA>(주)케이에스티20191016100300U2019-10-18 02:40:00.0조립금속제품 제조업 기계 및 가구 제외327891.95051250891.065314대기배출업소관리조립금속제품 제조업 기계 및 가구 제외5종알루미늄파이프8.03008.0300
41224123대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000620080318<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 103-35번지대구광역시 달성군 논공읍 논공로87길 75<NA>(주)신화캐스팅20190424152027U2019-04-26 02:40:00.0선철주물 주조업332959.428756248782.732222대기배출업소관리선철주물 주조업4종주물제품6.03006.0300
41234124대기오염물질배출시설설치사업장09_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
41244125대기오염물질배출시설설치사업장09_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
41254126대기오염물질배출시설설치사업장09_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
41264127대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001120080424<NA>1영업/정상11영업<NA><NA><NA><NA>0536177200<NA><NA>대구광역시 달성군 논공읍 상리 793-7번지 외 4필지대구광역시 달성군 논공읍 비슬로262길 2142976상리정비현대서비스(주)20190130134927U2019-02-01 02:40:00.0자동차 종합 수리업327569.45258250495.528647대기배출업소관리자동차 종합 수리업4종자동차정비8.03008.0300
41274128대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001220080428<NA>1영업/정상11영업<NA><NA><NA><NA>0536113101<NA><NA>대구광역시 달성군 구지면 예현리 764-2번지대구광역시 달성군 구지면 달성2차3로 60<NA>(주)에이피엠20181129155301U2018-12-01 02:40:00.0기타 조립금속제품 제조업328933.55363238246.501108대기배출업소관리기타 조립금속제품 제조업5종자동차부품8.03008.0300
41284129대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001620080722<NA>1영업/정상11영업<NA><NA><NA><NA>0535817161<NA><NA>대구광역시 달성군 구지면 예현리 758-4번지대구광역시 달성군 구지면 달성2차동1로 176711891(주)디앤디테크20181129162740U2018-12-01 02:40:00.0화합물 및 화학제품 제조업328859.762181238930.449269대기배출업소관리화합물 및 화학제품 제조업5종발수제8.02888.0288
41294130대기오염물질배출시설설치사업장09_30_08_P348000034800002120080001720080729<NA>1영업/정상11영업<NA><NA><NA><NA>0535263904<NA><NA>대구광역시 달성군 다사읍 서재리 424-2번지대구광역시 달성군 다사읍 서재로18길 6<NA>오프로드20181129160009U2018-12-01 02:40:00.0그외 기타 분류안된 섬유제품 제조업335202.728175264430.207945대기배출업소관리그외 기타 분류안된 섬유제품 제조업5종기모가공8.03008.0300