Overview

Dataset statistics

Number of variables36
Number of observations4089
Missing cells38970
Missing cells (%)26.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory309.0 B

Variable types

Numeric14
Categorical9
Unsupported5
Text7
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068003&dataSetDetailId=DDI_0000068039&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 141 (3.4%) missing valuesMissing
인허가취소일자 has 4089 (100.0%) missing valuesMissing
폐업일자 has 2405 (58.8%) missing valuesMissing
휴업시작일자 has 4089 (100.0%) missing valuesMissing
휴업종료일자 has 4089 (100.0%) missing valuesMissing
재개업일자 has 4089 (100.0%) missing valuesMissing
소재지전화 has 648 (15.8%) missing valuesMissing
소재지면적 has 4089 (100.0%) missing valuesMissing
소재지우편번호 has 3156 (77.2%) missing valuesMissing
소재지전체주소 has 162 (4.0%) missing valuesMissing
도로명전체주소 has 1049 (25.7%) missing valuesMissing
도로명우편번호 has 2554 (62.5%) missing valuesMissing
업태구분명 has 1408 (34.4%) missing valuesMissing
좌표정보(X) has 939 (23.0%) missing valuesMissing
좌표정보(Y) has 939 (23.0%) missing valuesMissing
업종구분명 has 1408 (34.4%) missing valuesMissing
주생산품명 has 2753 (67.3%) missing valuesMissing
배출시설조업시간 has 57 (1.4%) missing valuesMissing
배출시설연간가동일수 has 60 (1.5%) missing valuesMissing
방지시설조업시간 has 429 (10.5%) missing valuesMissing
방지시설연간가동일수 has 417 (10.2%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.53263324)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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 1382 (33.8%) zerosZeros
배출시설연간가동일수 has 1396 (34.1%) zerosZeros
방지시설조업시간 has 1380 (33.7%) zerosZeros
방지시설연간가동일수 has 1387 (33.9%) zerosZeros

Reproduction

Analysis started2024-04-21 13:03:11.880600
Analysis finished2024-04-21 13:03:14.303720
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4089
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2045
Minimum1
Maximum4089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:14.432418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile205.4
Q11023
median2045
Q33067
95-th percentile3884.6
Maximum4089
Range4088
Interquartile range (IQR)2044

Descriptive statistics

Standard deviation1180.537
Coefficient of variation (CV)0.57727968
Kurtosis-1.2
Mean2045
Median Absolute Deviation (MAD)1022
Skewness0
Sum8362005
Variance1393667.5
MonotonicityStrictly increasing
2024-04-21T22:03:14.694242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2732 1
 
< 0.1%
2719 1
 
< 0.1%
2720 1
 
< 0.1%
2721 1
 
< 0.1%
2722 1
 
< 0.1%
2723 1
 
< 0.1%
2724 1
 
< 0.1%
2725 1
 
< 0.1%
2726 1
 
< 0.1%
Other values (4079) 4079
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 (%)
4089 1
< 0.1%
4088 1
< 0.1%
4087 1
< 0.1%
4086 1
< 0.1%
4085 1
< 0.1%
4084 1
< 0.1%
4083 1
< 0.1%
4082 1
< 0.1%
4081 1
< 0.1%
4080 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
대기오염물질배출시설설치사업장
4089 

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 4089
100.0%

Length

2024-04-21T22:03:15.063312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:15.228427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4089
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
09_30_08_P
4089 

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 4089
100.0%

Length

2024-04-21T22:03:15.401135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:15.570325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4089
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456468.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:15.719593image/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 deviation20645.208
Coefficient of variation (CV)0.0059729193
Kurtosis-1.3457362
Mean3456468.6
Median Absolute Deviation (MAD)10000
Skewness-0.50898387
Sum1.41335 × 1010
Variance4.2622461 × 108
MonotonicityIncreasing
2024-04-21T22:03:15.919683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1664
40.7%
3430000 1079
26.4%
3480000 677
16.6%
3450000 377
 
9.2%
3420000 166
 
4.1%
3460000 79
 
1.9%
3410000 30
 
0.7%
3440000 17
 
0.4%
ValueCountFrequency (%)
3410000 30
 
0.7%
3420000 166
 
4.1%
3430000 1079
26.4%
3440000 17
 
0.4%
3450000 377
 
9.2%
3460000 79
 
1.9%
3470000 1664
40.7%
3480000 677
16.6%
ValueCountFrequency (%)
3480000 677
16.6%
3470000 1664
40.7%
3460000 79
 
1.9%
3450000 377
 
9.2%
3440000 17
 
0.4%
3430000 1079
26.4%
3420000 166
 
4.1%
3410000 30
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4089
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564688 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:16.164542image/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 deviation2.0645208 × 1015
Coefficient of variation (CV)0.005972919
Kurtosis-1.3457362
Mean3.4564688 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.50898387
Sum-7.049207 × 1018
Variance4.2622461 × 1030
MonotonicityNot monotonic
2024-04-21T22:03:16.581401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021201500014 1
 
< 0.1%
347000021199400032 1
 
< 0.1%
347000021199700019 1
 
< 0.1%
347000021199700020 1
 
< 0.1%
347000021199700021 1
 
< 0.1%
347000021199700022 1
 
< 0.1%
347000021199700023 1
 
< 0.1%
347000021199800001 1
 
< 0.1%
347000021199800002 1
 
< 0.1%
347000021199800003 1
 
< 0.1%
Other values (4079) 4079
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 (%)
348000021201900027 1
< 0.1%
348000021201900026 1
< 0.1%
348000021201900025 1
< 0.1%
348000021201900024 1
< 0.1%
348000021201900023 1
< 0.1%
348000021201900022 1
< 0.1%
348000021201900021 1
< 0.1%
348000021201900020 1
< 0.1%
348000021201900019 1
< 0.1%
348000021201900018 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2517
Distinct (%)63.8%
Missing141
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean20030206
Minimum19010101
Maximum20190829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:17.014034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870319
Q119990811
median20040701
Q320120418
95-th percentile20170606
Maximum20190829
Range1180728
Interquartile range (IQR)129607

Descriptive statistics

Standard deviation148136.55
Coefficient of variation (CV)0.0073956579
Kurtosis27.197645
Mean20030206
Median Absolute Deviation (MAD)70276
Skewness-4.3450099
Sum7.9079252 × 1010
Variance2.1944437 × 1010
MonotonicityNot monotonic
2024-04-21T22:03:17.460830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.9%
19010101 52
 
1.3%
20040702 48
 
1.2%
20040621 36
 
0.9%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.6%
19940427 16
 
0.4%
19840210 14
 
0.3%
20151231 13
 
0.3%
Other values (2507) 3621
88.6%
(Missing) 141
 
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 (%)
20190829 1
< 0.1%
20190827 1
< 0.1%
20190823 2
< 0.1%
20190821 1
< 0.1%
20190820 1
< 0.1%
20190802 2
< 0.1%
20190726 1
< 0.1%
20190723 1
< 0.1%
20190722 1
< 0.1%
20190719 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4089
Missing (%)100.0%
Memory size36.1 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
3
1911 
1
1848 
4
321 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1911
46.7%
1 1848
45.2%
4 321
 
7.9%
2 9
 
0.2%

Length

2024-04-21T22:03:17.864684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:18.180788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1911
46.7%
1 1848
45.2%
4 321
 
7.9%
2 9
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
폐업
1911 
영업/정상
1848 
취소/말소/만료/정지/중지
321 
휴업
 
9

Length

Max length14
Median length5
Mean length4.2978723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1911
46.7%
영업/정상 1848
45.2%
취소/말소/만료/정지/중지 321
 
7.9%
휴업 9
 
0.2%

Length

2024-04-21T22:03:18.566464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:18.910102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1911
46.7%
영업/정상 1848
45.2%
취소/말소/만료/정지/중지 321
 
7.9%
휴업 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2
1911 
11
1848 
4
321 
1
 
9

Length

Max length2
Median length1
Mean length1.4519442
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1911
46.7%
11 1848
45.2%
4 321
 
7.9%
1 9
 
0.2%

Length

2024-04-21T22:03:19.274228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:19.600379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1911
46.7%
11 1848
45.2%
4 321
 
7.9%
1 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
폐업
1911 
영업
1848 
폐쇄
321 
휴업
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1911
46.7%
영업 1848
45.2%
폐쇄 321
 
7.9%
휴업 9
 
0.2%

Length

2024-04-21T22:03:19.946440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:20.259640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1911
46.7%
영업 1848
45.2%
폐쇄 321
 
7.9%
휴업 9
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1045
Distinct (%)62.1%
Missing2405
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20087750
Minimum19930721
Maximum20190807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:20.494132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030523
Q120050330
median20081006
Q320120310
95-th percentile20180716
Maximum20190807
Range260086
Interquartile range (IQR)69980.75

Descriptive statistics

Standard deviation47657.923
Coefficient of variation (CV)0.0023724869
Kurtosis-0.54449046
Mean20087750
Median Absolute Deviation (MAD)30697.5
Skewness0.59992479
Sum3.3827771 × 1010
Variance2.2712777 × 109
MonotonicityNot monotonic
2024-04-21T22:03:20.760118image/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%
20091216 11
 
0.3%
20091218 11
 
0.3%
20040601 10
 
0.2%
20040630 10
 
0.2%
Other values (1035) 1407
34.4%
(Missing) 2405
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 (%)
20190807 1
 
< 0.1%
20190722 1
 
< 0.1%
20190716 3
0.1%
20190712 1
 
< 0.1%
20190709 1
 
< 0.1%
20190630 1
 
< 0.1%
20190625 1
 
< 0.1%
20190619 1
 
< 0.1%
20190617 1
 
< 0.1%
20190614 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4089
Missing (%)100.0%
Memory size36.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4089
Missing (%)100.0%
Memory size36.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4089
Missing (%)100.0%
Memory size36.1 KiB

소재지전화
Text

MISSING 

Distinct3202
Distinct (%)93.1%
Missing648
Missing (%)15.8%
Memory size32.1 KiB
2024-04-21T22:03:21.670704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8436501
Min length3

Characters and Unicode

Total characters33872
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

Unique2990 ?
Unique (%)86.9%

Sample

1st row053-609-1407
2nd row053-251-6019
3rd row0534288984
4th row0532502000
5th row0532579663
ValueCountFrequency (%)
053 494
 
9.9%
581 121
 
2.4%
582 78
 
1.6%
583 67
 
1.3%
354 35
 
0.7%
562 25
 
0.5%
356 24
 
0.5%
584 23
 
0.5%
053615 23
 
0.5%
567 23
 
0.5%
Other values (3167) 4099
81.8%
2024-04-21T22:03:22.752762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7017
20.7%
3 5037
14.9%
0 4968
14.7%
1 3102
9.2%
8 2559
 
7.6%
6 2427
 
7.2%
2 2041
 
6.0%
7 1628
 
4.8%
1584
 
4.7%
4 1566
 
4.6%
Other values (3) 1943
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31752
93.7%
Space Separator 1584
 
4.7%
Dash Punctuation 535
 
1.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7017
22.1%
3 5037
15.9%
0 4968
15.6%
1 3102
9.8%
8 2559
 
8.1%
6 2427
 
7.6%
2 2041
 
6.4%
7 1628
 
5.1%
4 1566
 
4.9%
9 1407
 
4.4%
Space Separator
ValueCountFrequency (%)
1584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 535
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33872
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7017
20.7%
3 5037
14.9%
0 4968
14.7%
1 3102
9.2%
8 2559
 
7.6%
6 2427
 
7.2%
2 2041
 
6.0%
7 1628
 
4.8%
1584
 
4.7%
4 1566
 
4.6%
Other values (3) 1943
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33872
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7017
20.7%
3 5037
14.9%
0 4968
14.7%
1 3102
9.2%
8 2559
 
7.6%
6 2427
 
7.2%
2 2041
 
6.0%
7 1628
 
4.8%
1584
 
4.7%
4 1566
 
4.6%
Other values (3) 1943
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4089
Missing (%)100.0%
Memory size36.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)12.4%
Missing3156
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean693146.77
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:22.998664image/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 deviation91565.669
Coefficient of variation (CV)0.13210142
Kurtosis53.526591
Mean693146.77
Median Absolute Deviation (MAD)500
Skewness-7.4404517
Sum6.4670593 × 108
Variance8.3842718 × 109
MonotonicityNot monotonic
2024-04-21T22:03:23.248287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704190 64
 
1.6%
703830 58
 
1.4%
704900 57
 
1.4%
704330 39
 
1.0%
711855 39
 
1.0%
704801 37
 
0.9%
704400 36
 
0.9%
704170 35
 
0.9%
703833 35
 
0.9%
704070 32
 
0.8%
Other values (106) 501
 
12.3%
(Missing) 3156
77.2%
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 

Distinct2930
Distinct (%)74.6%
Missing162
Missing (%)4.0%
Memory size32.1 KiB
2024-04-21T22:03:24.535228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length22.644003
Min length13

Characters and Unicode

Total characters88923
Distinct characters198
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

Unique2247 ?
Unique (%)57.2%

Sample

1st row대구광역시 중구 남일동 138-3번지 국민은행대구지점
2nd row대구광역시 중구 수창동 47번지
3rd row대구광역시 중구 수창동 50-21번지
4th row대구광역시 중구 대봉동 111-1번지
5th row대구광역시 중구 수창동 47-1번지
ValueCountFrequency (%)
대구광역시 3927
23.5%
달서구 1456
 
8.7%
서구 1023
 
6.1%
달성군 832
 
5.0%
북구 371
 
2.2%
갈산동 366
 
2.2%
이현동 366
 
2.2%
비산동 345
 
2.1%
논공읍 328
 
2.0%
중리동 263
 
1.6%
Other values (2982) 7440
44.5%
2024-04-21T22:03:26.061633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16733
18.8%
7170
 
8.1%
4211
 
4.7%
3928
 
4.4%
3928
 
4.4%
3927
 
4.4%
3912
 
4.4%
3713
 
4.2%
1 3370
 
3.8%
3364
 
3.8%
Other values (188) 34667
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51655
58.1%
Decimal Number 17084
 
19.2%
Space Separator 16733
 
18.8%
Dash Punctuation 3022
 
3.4%
Uppercase Letter 153
 
0.2%
Close Punctuation 124
 
0.1%
Open Punctuation 107
 
0.1%
Other Punctuation 41
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7170
13.9%
4211
 
8.2%
3928
 
7.6%
3928
 
7.6%
3927
 
7.6%
3912
 
7.6%
3713
 
7.2%
3364
 
6.5%
2517
 
4.9%
2291
 
4.4%
Other values (168) 12694
24.6%
Decimal Number
ValueCountFrequency (%)
1 3370
19.7%
2 2292
13.4%
0 1971
11.5%
3 1923
11.3%
4 1561
9.1%
5 1294
 
7.6%
6 1252
 
7.3%
9 1216
 
7.1%
7 1178
 
6.9%
8 1027
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 81
52.9%
L 68
44.4%
A 3
 
2.0%
C 1
 
0.7%
Space Separator
ValueCountFrequency (%)
16733
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3022
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%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51655
58.1%
Common 37111
41.7%
Latin 157
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7170
13.9%
4211
 
8.2%
3928
 
7.6%
3928
 
7.6%
3927
 
7.6%
3912
 
7.6%
3713
 
7.2%
3364
 
6.5%
2517
 
4.9%
2291
 
4.4%
Other values (168) 12694
24.6%
Common
ValueCountFrequency (%)
16733
45.1%
1 3370
 
9.1%
- 3022
 
8.1%
2 2292
 
6.2%
0 1971
 
5.3%
3 1923
 
5.2%
4 1561
 
4.2%
5 1294
 
3.5%
6 1252
 
3.4%
9 1216
 
3.3%
Other values (5) 2477
 
6.7%
Latin
ValueCountFrequency (%)
B 81
51.6%
L 68
43.3%
b 4
 
2.5%
A 3
 
1.9%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51655
58.1%
ASCII 37268
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16733
44.9%
1 3370
 
9.0%
- 3022
 
8.1%
2 2292
 
6.2%
0 1971
 
5.3%
3 1923
 
5.2%
4 1561
 
4.2%
5 1294
 
3.5%
6 1252
 
3.4%
9 1216
 
3.3%
Other values (10) 2634
 
7.1%
Hangul
ValueCountFrequency (%)
7170
13.9%
4211
 
8.2%
3928
 
7.6%
3928
 
7.6%
3927
 
7.6%
3912
 
7.6%
3713
 
7.2%
3364
 
6.5%
2517
 
4.9%
2291
 
4.4%
Other values (168) 12694
24.6%

도로명전체주소
Text

MISSING 

Distinct2640
Distinct (%)86.8%
Missing1049
Missing (%)25.7%
Memory size32.1 KiB
2024-04-21T22:03:27.127575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.546711
Min length19

Characters and Unicode

Total characters77662
Distinct characters285
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2328 ?
Unique (%)76.6%

Sample

1st row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
2nd row대구광역시 중구 국채보상로 585 (사일동, 동성로파티)
3rd row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
4th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
5th row대구광역시 중구 경상감영길 80 (포정동, 대구우체국)
ValueCountFrequency (%)
대구광역시 3040
 
19.7%
달서구 1001
 
6.5%
서구 813
 
5.3%
달성군 610
 
4.0%
북구 368
 
2.4%
논공읍 304
 
2.0%
이현동 275
 
1.8%
비산동 268
 
1.7%
갈산동 238
 
1.5%
중리동 231
 
1.5%
Other values (1562) 8270
53.6%
2024-04-21T22:03:28.468750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13130
 
16.9%
5739
 
7.4%
3568
 
4.6%
3053
 
3.9%
3044
 
3.9%
3043
 
3.9%
2958
 
3.8%
2884
 
3.7%
2859
 
3.7%
( 2528
 
3.3%
Other values (275) 34856
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47286
60.9%
Space Separator 13130
 
16.9%
Decimal Number 11540
 
14.9%
Open Punctuation 2528
 
3.3%
Close Punctuation 2528
 
3.3%
Dash Punctuation 488
 
0.6%
Other Punctuation 138
 
0.2%
Uppercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5739
 
12.1%
3568
 
7.5%
3053
 
6.5%
3044
 
6.4%
3043
 
6.4%
2958
 
6.3%
2884
 
6.1%
2859
 
6.0%
2004
 
4.2%
1988
 
4.2%
Other values (251) 16146
34.1%
Decimal Number
ValueCountFrequency (%)
1 2148
18.6%
2 1615
14.0%
3 1603
13.9%
5 1064
9.2%
4 1032
8.9%
6 971
8.4%
7 891
7.7%
9 794
 
6.9%
0 712
 
6.2%
8 710
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
37.5%
A 6
25.0%
L 2
 
8.3%
K 2
 
8.3%
C 1
 
4.2%
T 1
 
4.2%
E 1
 
4.2%
S 1
 
4.2%
G 1
 
4.2%
Space Separator
ValueCountFrequency (%)
13130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Other Punctuation
ValueCountFrequency (%)
, 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47286
60.9%
Common 30352
39.1%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5739
 
12.1%
3568
 
7.5%
3053
 
6.5%
3044
 
6.4%
3043
 
6.4%
2958
 
6.3%
2884
 
6.1%
2859
 
6.0%
2004
 
4.2%
1988
 
4.2%
Other values (251) 16146
34.1%
Common
ValueCountFrequency (%)
13130
43.3%
( 2528
 
8.3%
) 2528
 
8.3%
1 2148
 
7.1%
2 1615
 
5.3%
3 1603
 
5.3%
5 1064
 
3.5%
4 1032
 
3.4%
6 971
 
3.2%
7 891
 
2.9%
Other values (5) 2842
 
9.4%
Latin
ValueCountFrequency (%)
B 9
37.5%
A 6
25.0%
L 2
 
8.3%
K 2
 
8.3%
C 1
 
4.2%
T 1
 
4.2%
E 1
 
4.2%
S 1
 
4.2%
G 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47286
60.9%
ASCII 30376
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13130
43.2%
( 2528
 
8.3%
) 2528
 
8.3%
1 2148
 
7.1%
2 1615
 
5.3%
3 1603
 
5.3%
5 1064
 
3.5%
4 1032
 
3.4%
6 971
 
3.2%
7 891
 
2.9%
Other values (14) 2866
 
9.4%
Hangul
ValueCountFrequency (%)
5739
 
12.1%
3568
 
7.5%
3053
 
6.5%
3044
 
6.4%
3043
 
6.4%
2958
 
6.3%
2884
 
6.1%
2859
 
6.0%
2004
 
4.2%
1988
 
4.2%
Other values (251) 16146
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)20.3%
Missing2554
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean457130.46
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:28.707127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41500
Q142719
median702872
Q3704900
95-th percentile711856
Maximum711892
Range670885
Interquartile range (IQR)662181

Descriptive statistics

Standard deviation321183.6
Coefficient of variation (CV)0.70260818
Kurtosis-1.7331287
Mean457130.46
Median Absolute Deviation (MAD)8938
Skewness-0.51850317
Sum7.0169525 × 108
Variance1.031589 × 1011
MonotonicityNot monotonic
2024-04-21T22:03:28.949415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.2%
704801 80
 
2.0%
711855 46
 
1.1%
704190 44
 
1.1%
704833 43
 
1.1%
702815 42
 
1.0%
703830 39
 
1.0%
703825 37
 
0.9%
704920 29
 
0.7%
704901 28
 
0.7%
Other values (301) 1058
25.9%
(Missing) 2554
62.5%
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%
Distinct3483
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2024-04-21T22:03:29.827032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.2120323
Min length2

Characters and Unicode

Total characters29490
Distinct characters564
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

Unique3000 ?
Unique (%)73.4%

Sample

1st row(주)대구에치티개발
2nd row동성로파티지원센터관리단
3rd row(주)국민은행 대구지점
4th row이지스티디에이치제32호사모부동사투자유한회사
5th row대구우체국
ValueCountFrequency (%)
주식회사 42
 
0.9%
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%
대성산업 6
 
0.1%
Other values (3573) 4300
96.7%
2024-04-21T22:03:30.929613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1916
 
6.5%
) 1894
 
6.4%
1809
 
6.1%
958
 
3.2%
822
 
2.8%
786
 
2.7%
723
 
2.5%
615
 
2.1%
497
 
1.7%
461
 
1.6%
Other values (554) 19009
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24363
82.6%
Open Punctuation 1917
 
6.5%
Close Punctuation 1895
 
6.4%
Uppercase Letter 364
 
1.2%
Space Separator 358
 
1.2%
Other Punctuation 211
 
0.7%
Other Symbol 200
 
0.7%
Decimal Number 162
 
0.5%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1809
 
7.4%
958
 
3.9%
822
 
3.4%
786
 
3.2%
723
 
3.0%
615
 
2.5%
497
 
2.0%
461
 
1.9%
455
 
1.9%
450
 
1.8%
Other values (497) 16787
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 44
 
12.1%
C 33
 
9.1%
T 28
 
7.7%
E 25
 
6.9%
P 21
 
5.8%
M 21
 
5.8%
K 21
 
5.8%
O 20
 
5.5%
D 19
 
5.2%
G 17
 
4.7%
Other values (15) 115
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
n 1
 
7.1%
a 1
 
7.1%
r 1
 
7.1%
o 1
 
7.1%
t 1
 
7.1%
g 1
 
7.1%
m 1
 
7.1%
c 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 74
45.7%
1 55
34.0%
3 17
 
10.5%
8 6
 
3.7%
5 4
 
2.5%
6 3
 
1.9%
4 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 98
46.4%
, 85
40.3%
& 16
 
7.6%
/ 7
 
3.3%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1916
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1894
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
358
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 24563
83.3%
Common 4549
 
15.4%
Latin 378
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1809
 
7.4%
958
 
3.9%
822
 
3.3%
786
 
3.2%
723
 
2.9%
615
 
2.5%
497
 
2.0%
461
 
1.9%
455
 
1.9%
450
 
1.8%
Other values (498) 16987
69.2%
Latin
ValueCountFrequency (%)
S 44
 
11.6%
C 33
 
8.7%
T 28
 
7.4%
E 25
 
6.6%
P 21
 
5.6%
M 21
 
5.6%
K 21
 
5.6%
O 20
 
5.3%
D 19
 
5.0%
G 17
 
4.5%
Other values (25) 129
34.1%
Common
ValueCountFrequency (%)
( 1916
42.1%
) 1894
41.6%
358
 
7.9%
. 98
 
2.2%
, 85
 
1.9%
2 74
 
1.6%
1 55
 
1.2%
3 17
 
0.4%
& 16
 
0.4%
/ 7
 
0.2%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24363
82.6%
ASCII 4925
 
16.7%
None 202
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1916
38.9%
) 1894
38.5%
358
 
7.3%
. 98
 
2.0%
, 85
 
1.7%
2 74
 
1.5%
1 55
 
1.1%
S 44
 
0.9%
C 33
 
0.7%
T 28
 
0.6%
Other values (45) 340
 
6.9%
Hangul
ValueCountFrequency (%)
1809
 
7.4%
958
 
3.9%
822
 
3.4%
786
 
3.2%
723
 
3.0%
615
 
2.5%
497
 
2.0%
461
 
1.9%
455
 
1.9%
450
 
1.8%
Other values (497) 16787
68.9%
None
ValueCountFrequency (%)
200
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4087
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012835 × 1013
Minimum2.0001018 × 1013
Maximum2.019083 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:31.176204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040618 × 1013
Q12.0090318 × 1013
median2.014073 × 1013
Q32.0170908 × 1013
95-th percentile2.0190517 × 1013
Maximum2.019083 × 1013
Range1.8981199 × 1011
Interquartile range (IQR)8.0589923 × 1010

Descriptive statistics

Standard deviation5.0036897 × 1010
Coefficient of variation (CV)0.0024858917
Kurtosis-1.0127009
Mean2.012835 × 1013
Median Absolute Deviation (MAD)3.967405 × 1010
Skewness-0.47814598
Sum8.2304822 × 1016
Variance2.5036911 × 1021
MonotonicityNot monotonic
2024-04-21T22:03:31.653668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20160627095842 2
 
< 0.1%
20181116112115 1
 
< 0.1%
20100902163823 1
 
< 0.1%
20180629181906 1
 
< 0.1%
20110922173536 1
 
< 0.1%
20141105090241 1
 
< 0.1%
20071113113325 1
 
< 0.1%
20150727175140 1
 
< 0.1%
20081006130715 1
 
< 0.1%
Other values (4077) 4077
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 (%)
20190830151552 1
< 0.1%
20190830103751 1
< 0.1%
20190830095141 1
< 0.1%
20190829181408 1
< 0.1%
20190829180607 1
< 0.1%
20190829173112 1
< 0.1%
20190829124044 1
< 0.1%
20190829094057 1
< 0.1%
20190828192614 1
< 0.1%
20190828173951 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
I
3493 
U
596 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3493
85.4%
U 596
 
14.6%

Length

2024-04-21T22:03:31.893445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:32.063075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3493
85.4%
u 596
 
14.6%
Distinct261
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
Minimum2018-09-01 23:59:59
Maximum2019-09-01 02:40:00
2024-04-21T22:03:32.251536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:03:32.491099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct401
Distinct (%)15.0%
Missing1408
Missing (%)34.4%
Memory size32.1 KiB
2024-04-21T22:03:33.439587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.357702
Min length2

Characters and Unicode

Total characters30450
Distinct characters290
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 (%)6.8%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1349
 
16.0%
기타 839
 
10.0%
758
 
9.0%
자동차 315
 
3.7%
가공업 297
 
3.5%
염색 279
 
3.3%
섬유 258
 
3.1%
수리업 257
 
3.1%
조립금속제품 216
 
2.6%
그외 198
 
2.4%
Other values (538) 3650
43.4%
2024-04-21T22:03:34.637479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5737
18.8%
2732
 
9.0%
2364
 
7.8%
1717
 
5.6%
1190
 
3.9%
1031
 
3.4%
910
 
3.0%
824
 
2.7%
733
 
2.4%
650
 
2.1%
Other values (280) 12562
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24563
80.7%
Space Separator 5737
 
18.8%
Other Punctuation 127
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
Other Punctuation
ValueCountFrequency (%)
, 116
91.3%
· 6
 
4.7%
; 5
 
3.9%
Space Separator
ValueCountFrequency (%)
5737
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24563
80.7%
Common 5887
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
Common
ValueCountFrequency (%)
5737
97.5%
, 116
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24563
80.7%
ASCII 5881
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5737
97.6%
, 116
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
None
ValueCountFrequency (%)
· 6
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2441
Distinct (%)77.5%
Missing939
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean337744.75
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:34.871028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328437.45
Q1334997.74
median337450.52
Q3339805.46
95-th percentile348734.52
Maximum357474.36
Range32647.303
Interquartile range (IQR)4807.7173

Descriptive statistics

Standard deviation5718.0831
Coefficient of variation (CV)0.016930191
Kurtosis1.8276707
Mean337744.75
Median Absolute Deviation (MAD)2406.0933
Skewness0.85879098
Sum1.063896 × 109
Variance32696474
MonotonicityNot monotonic
2024-04-21T22:03:35.113146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.3%
336353.196287 8
 
0.2%
336366.064252 8
 
0.2%
335898.647221 7
 
0.2%
336559.670287 7
 
0.2%
338653.414866 7
 
0.2%
339163.824109 7
 
0.2%
337148.956227 6
 
0.1%
339372.436369 6
 
0.1%
339267.316441 6
 
0.1%
Other values (2431) 3077
75.3%
(Missing) 939
 
23.0%
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 

Distinct2439
Distinct (%)77.4%
Missing939
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean260993.35
Minimum236283.75
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:35.368445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236283.75
5-th percentile248214.08
Q1259883.85
median262175.1
Q3265387.62
95-th percentile267824.85
Maximum278091.65
Range41807.907
Interquartile range (IQR)5503.779

Descriptive statistics

Standard deviation6889.6214
Coefficient of variation (CV)0.026397689
Kurtosis2.5307458
Mean260993.35
Median Absolute Deviation (MAD)2784.6147
Skewness-1.6602328
Sum8.2212906 × 108
Variance47466884
MonotonicityNot monotonic
2024-04-21T22:03:35.613062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261562.315791 8
 
0.2%
261651.801477 8
 
0.2%
263466.441258 7
 
0.2%
258962.00812 7
 
0.2%
265188.870359 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 (2429) 3077
75.3%
(Missing) 939
 
23.0%
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 size32.1 KiB
대기배출업소관리
4089 

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 4089
100.0%

Length

2024-04-21T22:03:35.824089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:35.989215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4089
100.0%

업종구분명
Text

MISSING 

Distinct401
Distinct (%)15.0%
Missing1408
Missing (%)34.4%
Memory size32.1 KiB
2024-04-21T22:03:36.889664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.357702
Min length2

Characters and Unicode

Total characters30450
Distinct characters290
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 (%)6.8%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1349
 
16.0%
기타 839
 
10.0%
758
 
9.0%
자동차 315
 
3.7%
가공업 297
 
3.5%
염색 279
 
3.3%
섬유 258
 
3.1%
수리업 257
 
3.1%
조립금속제품 216
 
2.6%
그외 198
 
2.4%
Other values (538) 3650
43.4%
2024-04-21T22:03:38.082064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5737
18.8%
2732
 
9.0%
2364
 
7.8%
1717
 
5.6%
1190
 
3.9%
1031
 
3.4%
910
 
3.0%
824
 
2.7%
733
 
2.4%
650
 
2.1%
Other values (280) 12562
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24563
80.7%
Space Separator 5737
 
18.8%
Other Punctuation 127
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
Other Punctuation
ValueCountFrequency (%)
, 116
91.3%
· 6
 
4.7%
; 5
 
3.9%
Space Separator
ValueCountFrequency (%)
5737
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24563
80.7%
Common 5887
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
Common
ValueCountFrequency (%)
5737
97.5%
, 116
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24563
80.7%
ASCII 5881
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5737
97.6%
, 116
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2732
 
11.1%
2364
 
9.6%
1717
 
7.0%
1190
 
4.8%
1031
 
4.2%
910
 
3.7%
824
 
3.4%
733
 
3.0%
650
 
2.6%
554
 
2.3%
Other values (275) 11858
48.3%
None
ValueCountFrequency (%)
· 6
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
5종
2144 
4종
1317 
3종
 
210
<NA>
 
187
2종
 
186

Length

Max length4
Median length2
Mean length2.0914649
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2144
52.4%
4종 1317
32.2%
3종 210
 
5.1%
<NA> 187
 
4.6%
2종 186
 
4.5%
1종 45
 
1.1%

Length

2024-04-21T22:03:38.326268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:03:38.536761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2144
52.4%
4종 1317
32.2%
3종 210
 
5.1%
na 187
 
4.6%
2종 186
 
4.5%
1종 45
 
1.1%

주생산품명
Text

MISSING 

Distinct841
Distinct (%)62.9%
Missing2753
Missing (%)67.3%
Memory size32.1 KiB
2024-04-21T22:03:39.646033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length5.9116766
Min length1

Characters and Unicode

Total characters7898
Distinct characters451
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

Unique675 ?
Unique (%)50.5%

Sample

1st row전력,온수
2nd row자동차용고무제품
3rd row자동차종합정비
4th row
5th row수리된자동차
ValueCountFrequency (%)
자동차부품 167
 
9.7%
자동차 41
 
2.4%
37
 
2.2%
27
 
1.6%
안경테 23
 
1.3%
부품 21
 
1.2%
가공원단 20
 
1.2%
전자부품 18
 
1.0%
자동차정비 17
 
1.0%
고무시트 17
 
1.0%
Other values (869) 1331
77.4%
2024-04-21T22:03:41.032694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
473
 
6.0%
388
 
4.9%
383
 
4.8%
374
 
4.7%
335
 
4.2%
330
 
4.2%
157
 
2.0%
151
 
1.9%
131
 
1.7%
, 123
 
1.6%
Other values (441) 5053
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6917
87.6%
Space Separator 383
 
4.8%
Uppercase Letter 231
 
2.9%
Other Punctuation 137
 
1.7%
Lowercase Letter 78
 
1.0%
Open Punctuation 61
 
0.8%
Close Punctuation 61
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
473
 
6.8%
388
 
5.6%
374
 
5.4%
335
 
4.8%
330
 
4.8%
157
 
2.3%
151
 
2.2%
131
 
1.9%
122
 
1.8%
109
 
1.6%
Other values (381) 4347
62.8%
Uppercase Letter
ValueCountFrequency (%)
P 43
18.6%
E 38
16.5%
C 20
8.7%
L 17
 
7.4%
D 17
 
7.4%
T 16
 
6.9%
I 14
 
6.1%
O 12
 
5.2%
R 9
 
3.9%
S 6
 
2.6%
Other values (12) 39
16.9%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.5%
r 8
10.3%
e 8
10.3%
t 7
 
9.0%
l 6
 
7.7%
i 6
 
7.7%
a 5
 
6.4%
f 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%
7 1
 
4.0%
9 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 123
89.8%
. 11
 
8.0%
/ 2
 
1.5%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6917
87.6%
Common 672
 
8.5%
Latin 309
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
473
 
6.8%
388
 
5.6%
374
 
5.4%
335
 
4.8%
330
 
4.8%
157
 
2.3%
151
 
2.2%
131
 
1.9%
122
 
1.8%
109
 
1.6%
Other values (381) 4347
62.8%
Latin
ValueCountFrequency (%)
P 43
 
13.9%
E 38
 
12.3%
C 20
 
6.5%
L 17
 
5.5%
D 17
 
5.5%
T 16
 
5.2%
I 14
 
4.5%
O 12
 
3.9%
R 9
 
2.9%
o 9
 
2.9%
Other values (33) 114
36.9%
Common
ValueCountFrequency (%)
383
57.0%
, 123
 
18.3%
( 61
 
9.1%
) 61
 
9.1%
. 11
 
1.6%
1 6
 
0.9%
0 5
 
0.7%
- 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (7) 10
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6917
87.6%
ASCII 981
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
473
 
6.8%
388
 
5.6%
374
 
5.4%
335
 
4.8%
330
 
4.8%
157
 
2.3%
151
 
2.2%
131
 
1.9%
122
 
1.8%
109
 
1.6%
Other values (381) 4347
62.8%
ASCII
ValueCountFrequency (%)
383
39.0%
, 123
 
12.5%
( 61
 
6.2%
) 61
 
6.2%
P 43
 
4.4%
E 38
 
3.9%
C 20
 
2.0%
L 17
 
1.7%
D 17
 
1.7%
T 16
 
1.6%
Other values (50) 202
20.6%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing57
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.5718378
Minimum0
Maximum912
Zeros1382
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:41.257470image/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 deviation16.046556
Coefficient of variation (CV)2.1192419
Kurtosis2504.4223
Mean7.5718378
Median Absolute Deviation (MAD)5
Skewness44.532633
Sum30529.65
Variance257.49195
MonotonicityNot monotonic
2024-04-21T22:03:41.469928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1416
34.6%
0.0 1382
33.8%
24.0 426
 
10.4%
10.0 220
 
5.4%
6.0 84
 
2.1%
12.0 70
 
1.7%
5.0 61
 
1.5%
20.0 58
 
1.4%
4.0 52
 
1.3%
7.0 51
 
1.2%
Other values (23) 212
 
5.2%
(Missing) 57
 
1.4%
ValueCountFrequency (%)
0.0 1382
33.8%
1.0 10
 
0.2%
1.5 1
 
< 0.1%
2.0 12
 
0.3%
2.5 1
 
< 0.1%
3.0 21
 
0.5%
3.5 1
 
< 0.1%
4.0 52
 
1.3%
5.0 61
 
1.5%
6.0 84
 
2.1%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 426
10.4%
22.0 12
 
0.3%
21.0 7
 
0.2%
20.0 58
 
1.4%
19.0 3
 
0.1%
18.0 5
 
0.1%
17.0 2
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)2.3%
Missing60
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean191.52941
Minimum0
Maximum365
Zeros1396
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:41.696533image/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 deviation143.01297
Coefficient of variation (CV)0.74668936
Kurtosis-1.6323235
Mean191.52941
Median Absolute Deviation (MAD)0
Skewness-0.5415263
Sum771672
Variance20452.711
MonotonicityNot monotonic
2024-04-21T22:03:41.945808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2043
50.0%
0 1396
34.1%
240 61
 
1.5%
365 51
 
1.2%
312 42
 
1.0%
264 30
 
0.7%
360 29
 
0.7%
180 26
 
0.6%
330 24
 
0.6%
250 24
 
0.6%
Other values (82) 303
 
7.4%
(Missing) 60
 
1.5%
ValueCountFrequency (%)
0 1396
34.1%
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 51
1.2%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 29
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 15
 
0.4%
340 13
 
0.3%
338 1
 
< 0.1%
336 13
 
0.3%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.9%
Missing429
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean7.159194
Minimum0
Maximum360
Zeros1380
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:42.181952image/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 deviation10.916836
Coefficient of variation (CV)1.5248694
Kurtosis414.35538
Mean7.159194
Median Absolute Deviation (MAD)8
Skewness15.021174
Sum26202.65
Variance119.17731
MonotonicityNot monotonic
2024-04-21T22:03:42.411656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 1380
33.7%
8.0 1268
31.0%
24.0 354
 
8.7%
10.0 179
 
4.4%
6.0 64
 
1.6%
5.0 56
 
1.4%
12.0 54
 
1.3%
7.0 48
 
1.2%
20.0 46
 
1.1%
16.0 41
 
1.0%
Other values (23) 170
 
4.2%
(Missing) 429
 
10.5%
ValueCountFrequency (%)
0.0 1380
33.7%
1.0 9
 
0.2%
2.0 9
 
0.2%
3.0 13
 
0.3%
4.0 40
 
1.0%
5.0 56
 
1.4%
6.0 64
 
1.6%
7.0 48
 
1.2%
7.5 2
 
< 0.1%
8.0 1268
31.0%
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 3
 
0.1%
25.0 2
 
< 0.1%
24.0 354
8.7%
22.0 11
 
0.3%
21.0 7
 
0.2%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)2.1%
Missing417
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean183.90005
Minimum0
Maximum365
Zeros1387
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-21T22:03:42.794275image/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 deviation145.6009
Coefficient of variation (CV)0.79173932
Kurtosis-1.7567436
Mean183.90005
Median Absolute Deviation (MAD)2
Skewness-0.43850579
Sum675281
Variance21199.623
MonotonicityNot monotonic
2024-04-21T22:03:43.447681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1834
44.9%
0 1387
33.9%
240 46
 
1.1%
312 41
 
1.0%
365 31
 
0.8%
360 24
 
0.6%
264 21
 
0.5%
280 21
 
0.5%
250 21
 
0.5%
330 20
 
0.5%
Other values (68) 226
 
5.5%
(Missing) 417
 
10.2%
ValueCountFrequency (%)
0 1387
33.9%
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
0.8%
362 1
 
< 0.1%
360 24
0.6%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
0.3%
340 11
 
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)대구에치티개발20181116112115U2018-11-18 02:37:52.0<NA>343991.737064265000.0215대기배출업소관리<NA>5종<NA>4.0150<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001320151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-609-1407<NA><NA><NA>대구광역시 중구 국채보상로 585 (사일동, 동성로파티)41909동성로파티지원센터관리단20151228172104I2018-10-04 11:12:49.0<NA>343932.18838264630.944873대기배출업소관리<NA>5종<NA>3.0150<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 대구지점20180117134215I2018-10-04 11:12:49.0<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)41913이지스티디에이치제32호사모부동사투자유한회사20151228172352I2018-10-04 11:12:49.0부동산 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)41918대구우체국20151217130330I2018-10-04 11:12:49.0우편 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)계성학원20151217131009I2018-10-04 11:12:49.0<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>
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