Overview

Dataset statistics

Number of variables36
Number of observations4326
Missing cells40589
Missing cells (%)26.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory308.0 B

Variable types

Numeric13
Categorical9
Unsupported5
Text8
DateTime1

Dataset

Description6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090377&dataSetDetailId=DDI_0000090453&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 140 (3.2%) missing valuesMissing
인허가취소일자 has 4326 (100.0%) missing valuesMissing
폐업일자 has 2471 (57.1%) missing valuesMissing
휴업시작일자 has 4326 (100.0%) missing valuesMissing
휴업종료일자 has 4326 (100.0%) missing valuesMissing
재개업일자 has 4326 (100.0%) missing valuesMissing
소재지전화 has 677 (15.6%) missing valuesMissing
소재지면적 has 4326 (100.0%) missing valuesMissing
소재지우편번호 has 3394 (78.5%) missing valuesMissing
소재지전체주소 has 118 (2.7%) missing valuesMissing
도로명전체주소 has 1052 (24.3%) missing valuesMissing
도로명우편번호 has 2591 (59.9%) missing valuesMissing
업태구분명 has 1371 (31.7%) missing valuesMissing
좌표정보(X) has 940 (21.7%) missing valuesMissing
좌표정보(Y) has 940 (21.7%) missing valuesMissing
업종구분명 has 1371 (31.7%) missing valuesMissing
주생산품명 has 2916 (67.4%) missing valuesMissing
배출시설조업시간 has 61 (1.4%) missing valuesMissing
배출시설연간가동일수 has 66 (1.5%) missing valuesMissing
방지시설조업시간 has 445 (10.3%) missing valuesMissing
방지시설연간가동일수 has 406 (9.4%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 45.44758486)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 1374 (31.8%) zerosZeros
배출시설연간가동일수 has 1388 (32.1%) zerosZeros
방지시설조업시간 has 1371 (31.7%) zerosZeros
방지시설연간가동일수 has 1378 (31.9%) zerosZeros

Reproduction

Analysis started2024-04-21 12:24:46.324733
Analysis finished2024-04-21 12:24:48.763192
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2163.5
Minimum1
Maximum4326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:24:48.957989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile217.25
Q11082.25
median2163.5
Q33244.75
95-th percentile4109.75
Maximum4326
Range4325
Interquartile range (IQR)2162.5

Descriptive statistics

Standard deviation1248.953
Coefficient of variation (CV)0.57728355
Kurtosis-1.2
Mean2163.5
Median Absolute Deviation (MAD)1081.5
Skewness0
Sum9359301
Variance1559883.5
MonotonicityStrictly increasing
2024-04-21T21:24:49.237807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2891 1
 
< 0.1%
2877 1
 
< 0.1%
2878 1
 
< 0.1%
2879 1
 
< 0.1%
2880 1
 
< 0.1%
2881 1
 
< 0.1%
2882 1
 
< 0.1%
2883 1
 
< 0.1%
2884 1
 
< 0.1%
Other values (4316) 4316
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 (%)
4326 1
< 0.1%
4325 1
< 0.1%
4324 1
< 0.1%
4323 1
< 0.1%
4322 1
< 0.1%
4321 1
< 0.1%
4320 1
< 0.1%
4319 1
< 0.1%
4318 1
< 0.1%
4317 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
대기오염물질배출시설설치사업장
4326 

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 4326
100.0%

Length

2024-04-21T21:24:49.453058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:49.616075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4326
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
09_30_08_P
4326 

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 4326
100.0%

Length

2024-04-21T21:24:49.786736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:49.978526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4326
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456403.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:24:50.147374image/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 deviation20423.453
Coefficient of variation (CV)0.0059088747
Kurtosis-1.2971684
Mean3456403.1
Median Absolute Deviation (MAD)10000
Skewness-0.50316012
Sum1.49524 × 1010
Variance4.1711744 × 108
MonotonicityIncreasing
2024-04-21T21:24:50.347587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1690
39.1%
3430000 1091
25.2%
3480000 716
16.6%
3450000 499
 
11.5%
3420000 172
 
4.0%
3460000 103
 
2.4%
3410000 36
 
0.8%
3440000 19
 
0.4%
ValueCountFrequency (%)
3410000 36
 
0.8%
3420000 172
 
4.0%
3430000 1091
25.2%
3440000 19
 
0.4%
3450000 499
 
11.5%
3460000 103
 
2.4%
3470000 1690
39.1%
3480000 716
16.6%
ValueCountFrequency (%)
3480000 716
16.6%
3470000 1690
39.1%
3460000 103
 
2.4%
3450000 499
 
11.5%
3440000 19
 
0.4%
3430000 1091
25.2%
3420000 172
 
4.0%
3410000 36
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4564034 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:24:50.591008image/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 deviation2.0423453 × 1015
Coefficient of variation (CV)0.0059088743
Kurtosis-1.2971684
Mean3.4564034 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.50316012
Sum1.0538217 × 1018
Variance4.1711744 × 1030
MonotonicityNot monotonic
2024-04-21T21:24:50.860663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202000001 1
 
< 0.1%
347000021200000018 1
 
< 0.1%
347000021201400029 1
 
< 0.1%
347000021201400034 1
 
< 0.1%
347000021201500003 1
 
< 0.1%
347000021201600029 1
 
< 0.1%
347000021200000005 1
 
< 0.1%
347000021200000006 1
 
< 0.1%
347000021200000008 1
 
< 0.1%
347000021200000011 1
 
< 0.1%
Other values (4316) 4316
99.8%
ValueCountFrequency (%)
341000021200400001 1
< 0.1%
341000021200400002 1
< 0.1%
341000021200700001 1
< 0.1%
341000021201400001 1
< 0.1%
341000021201500001 1
< 0.1%
341000021201500002 1
< 0.1%
341000021201500004 1
< 0.1%
341000021201500005 1
< 0.1%
341000021201500006 1
< 0.1%
341000021201500008 1
< 0.1%
ValueCountFrequency (%)
348000021202100014 1
< 0.1%
348000021202100013 1
< 0.1%
348000021202100012 1
< 0.1%
348000021202100011 1
< 0.1%
348000021202100010 1
< 0.1%
348000021202100009 1
< 0.1%
348000021202100008 1
< 0.1%
348000021202100007 1
< 0.1%
348000021202100006 1
< 0.1%
348000021202100005 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2693
Distinct (%)64.3%
Missing140
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean20035516
Minimum19010101
Maximum20210625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:24:51.160418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870349
Q120000113
median20040702
Q320121008
95-th percentile20190214
Maximum20210625
Range1200524
Interquartile range (IQR)120894.5

Descriptive statistics

Standard deviation147880.99
Coefficient of variation (CV)0.0073809423
Kurtosis26.343333
Mean20035516
Median Absolute Deviation (MAD)70514.5
Skewness-4.1768389
Sum8.3868672 × 1010
Variance2.1868787 × 1010
MonotonicityNot monotonic
2024-04-21T21:24:51.427046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040701 76
 
1.8%
19010101 52
 
1.2%
20040702 48
 
1.1%
20040621 36
 
0.8%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.5%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2683) 3855
89.1%
(Missing) 140
 
3.2%
ValueCountFrequency (%)
19010101 52
1.2%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
19781205 1
 
< 0.1%
19781229 1
 
< 0.1%
19790220 6
 
0.1%
ValueCountFrequency (%)
20210625 2
< 0.1%
20210621 1
< 0.1%
20210610 1
< 0.1%
20210608 1
< 0.1%
20210528 1
< 0.1%
20210525 1
< 0.1%
20210523 1
< 0.1%
20210513 1
< 0.1%
20210512 1
< 0.1%
20210510 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.1 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
3
1944 
1
1921 
4
459 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1944
44.9%
1 1921
44.4%
4 459
 
10.6%
2 2
 
< 0.1%

Length

2024-04-21T21:24:51.658048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:51.843500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1944
44.9%
1 1921
44.4%
4 459
 
10.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
폐업
1944 
영업/정상
1921 
취소/말소/만료/정지/중지
459 
휴업
 
2

Length

Max length14
Median length5
Mean length4.6054092
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1944
44.9%
영업/정상 1921
44.4%
취소/말소/만료/정지/중지 459
 
10.6%
휴업 2
 
< 0.1%

Length

2024-04-21T21:24:52.047486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:52.245620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1944
44.9%
영업/정상 1921
44.4%
취소/말소/만료/정지/중지 459
 
10.6%
휴업 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2
1944 
11
1921 
4
459 
1
 
2

Length

Max length2
Median length1
Mean length1.4440592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1944
44.9%
11 1921
44.4%
4 459
 
10.6%
1 2
 
< 0.1%

Length

2024-04-21T21:24:52.451849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:52.645496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1944
44.9%
11 1921
44.4%
4 459
 
10.6%
1 2
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
폐업
1944 
영업
1921 
폐쇄
459 
휴업
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1944
44.9%
영업 1921
44.4%
폐쇄 459
 
10.6%
휴업 2
 
< 0.1%

Length

2024-04-21T21:24:52.878891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:24:53.065266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1944
44.9%
영업 1921
44.4%
폐쇄 459
 
10.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1170
Distinct (%)63.1%
Missing2471
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean20098178
Minimum19930721
Maximum20210621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:24:53.285163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030616
Q120050617
median20081118
Q320141104
95-th percentile20200811
Maximum20210621
Range279900
Interquartile range (IQR)90487

Descriptive statistics

Standard deviation56006.399
Coefficient of variation (CV)0.0027866406
Kurtosis-0.87762397
Mean20098178
Median Absolute Deviation (MAD)40111
Skewness0.53743729
Sum3.728212 × 1010
Variance3.1367167 × 109
MonotonicityNot monotonic
2024-04-21T21:24:53.534533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.6%
20081008 52
 
1.2%
20040701 38
 
0.9%
20081006 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091218 11
 
0.3%
20091216 11
 
0.3%
20201208 11
 
0.3%
20040601 10
 
0.2%
Other values (1160) 1577
36.5%
(Missing) 2471
57.1%
ValueCountFrequency (%)
19930721 1
< 0.1%
19940225 1
< 0.1%
20001018 1
< 0.1%
20001108 1
< 0.1%
20001216 1
< 0.1%
20001219 1
< 0.1%
20010131 1
< 0.1%
20010205 1
< 0.1%
20010208 1
< 0.1%
20010310 1
< 0.1%
ValueCountFrequency (%)
20210621 1
< 0.1%
20210615 1
< 0.1%
20210607 2
< 0.1%
20210602 1
< 0.1%
20210528 1
< 0.1%
20210527 1
< 0.1%
20210525 1
< 0.1%
20210518 1
< 0.1%
20210517 1
< 0.1%
20210513 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.1 KiB

소재지전화
Text

MISSING 

Distinct3400
Distinct (%)93.2%
Missing677
Missing (%)15.6%
Memory size33.9 KiB
2024-04-21T21:24:54.583274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9281995
Min length3

Characters and Unicode

Total characters36228
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3178 ?
Unique (%)87.1%

Sample

1st row0534310803
2nd row593-3198
3rd row053-250-5555
4th row053-251-6019
5th row0534288984
ValueCountFrequency (%)
053 513
 
9.8%
581 121
 
2.3%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
356 27
 
0.5%
562 25
 
0.5%
584 23
 
0.4%
567 23
 
0.4%
053615 23
 
0.4%
Other values (3365) 4313
82.2%
2024-04-21T21:24:55.681356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7455
20.6%
3 5459
15.1%
0 5318
14.7%
1 3244
9.0%
8 2659
 
7.3%
6 2550
 
7.0%
2 2182
 
6.0%
7 1780
 
4.9%
4 1680
 
4.6%
1612
 
4.4%
Other values (4) 2289
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33814
93.3%
Space Separator 1612
 
4.4%
Dash Punctuation 800
 
2.2%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7455
22.0%
3 5459
16.1%
0 5318
15.7%
1 3244
9.6%
8 2659
 
7.9%
6 2550
 
7.5%
2 2182
 
6.5%
7 1780
 
5.3%
4 1680
 
5.0%
9 1487
 
4.4%
Space Separator
ValueCountFrequency (%)
1612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 800
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7455
20.6%
3 5459
15.1%
0 5318
14.7%
1 3244
9.0%
8 2659
 
7.3%
6 2550
 
7.0%
2 2182
 
6.0%
7 1780
 
4.9%
4 1680
 
4.6%
1612
 
4.4%
Other values (4) 2289
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7455
20.6%
3 5459
15.1%
0 5318
14.7%
1 3244
9.0%
8 2659
 
7.3%
6 2550
 
7.0%
2 2182
 
6.0%
7 1780
 
4.9%
4 1680
 
4.6%
1612
 
4.4%
Other values (4) 2289
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4326
Missing (%)100.0%
Memory size38.1 KiB

소재지우편번호
Text

MISSING 

Distinct117
Distinct (%)12.6%
Missing3394
Missing (%)78.5%
Memory size33.9 KiB
2024-04-21T21:24:56.437309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters5592
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)4.9%

Sample

1st row700761
2nd row701040
3rd row701300
4th row701230
5th row701260
ValueCountFrequency (%)
704190 63
 
6.8%
703830 58
 
6.2%
704900 55
 
5.9%
704330 39
 
4.2%
711855 38
 
4.1%
704801 37
 
4.0%
704400 36
 
3.9%
704170 35
 
3.8%
703833 34
 
3.6%
704070 32
 
3.4%
Other values (107) 505
54.2%
2024-04-21T21:24:57.365823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.2%
4 671
12.0%
3 565
 
10.1%
1 516
 
9.2%
8 360
 
6.4%
9 233
 
4.2%
2 220
 
3.9%
5 148
 
2.6%
78
 
1.4%
Other values (4) 123
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5462
97.7%
Space Separator 78
 
1.4%
Lowercase Letter 52
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1663
30.4%
7 1015
18.6%
4 671
12.3%
3 565
 
10.3%
1 516
 
9.4%
8 360
 
6.6%
9 233
 
4.3%
2 220
 
4.0%
5 148
 
2.7%
6 71
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
l 26
50.0%
n 13
25.0%
u 13
25.0%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5540
99.1%
Latin 52
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1663
30.0%
7 1015
18.3%
4 671
12.1%
3 565
 
10.2%
1 516
 
9.3%
8 360
 
6.5%
9 233
 
4.2%
2 220
 
4.0%
5 148
 
2.7%
78
 
1.4%
Latin
ValueCountFrequency (%)
l 26
50.0%
n 13
25.0%
u 13
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1663
29.7%
7 1015
18.2%
4 671
12.0%
3 565
 
10.1%
1 516
 
9.2%
8 360
 
6.4%
9 233
 
4.2%
2 220
 
3.9%
5 148
 
2.6%
78
 
1.4%
Other values (4) 123
 
2.2%

소재지전체주소
Text

MISSING 

Distinct3331
Distinct (%)79.2%
Missing118
Missing (%)2.7%
Memory size33.9 KiB
2024-04-21T21:24:58.689407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length22.304183
Min length13

Characters and Unicode

Total characters93856
Distinct characters250
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

Unique2736 ?
Unique (%)65.0%

Sample

1st row대구광역시 중구 동인동2가 74-15
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 덕산동 110
4th row대구광역시 중구 남일동 138-3 국민은행대구지점
5th row대구광역시 중구 대봉동 111-1번지
ValueCountFrequency (%)
대구광역시 4208
23.5%
달서구 1481
 
8.3%
서구 1073
 
6.0%
달성군 871
 
4.9%
북구 496
 
2.8%
이현동 383
 
2.1%
갈산동 370
 
2.1%
비산동 363
 
2.0%
논공읍 344
 
1.9%
중리동 275
 
1.5%
Other values (3471) 8076
45.0%
2024-04-21T21:25:00.248941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17955
19.1%
7718
 
8.2%
4503
 
4.8%
4217
 
4.5%
4211
 
4.5%
4211
 
4.5%
1 3623
 
3.9%
3622
 
3.9%
3349
 
3.6%
- 3233
 
3.4%
Other values (240) 37214
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53880
57.4%
Decimal Number 18342
 
19.5%
Space Separator 17955
 
19.1%
Dash Punctuation 3233
 
3.4%
Uppercase Letter 160
 
0.2%
Close Punctuation 127
 
0.1%
Open Punctuation 110
 
0.1%
Other Punctuation 44
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7718
14.3%
4503
 
8.4%
4217
 
7.8%
4211
 
7.8%
4211
 
7.8%
3622
 
6.7%
3349
 
6.2%
3123
 
5.8%
2595
 
4.8%
2355
 
4.4%
Other values (216) 13976
25.9%
Decimal Number
ValueCountFrequency (%)
1 3623
19.8%
2 2469
13.5%
0 2086
11.4%
3 2080
11.3%
4 1669
9.1%
5 1382
 
7.5%
6 1341
 
7.3%
9 1307
 
7.1%
7 1276
 
7.0%
8 1109
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
A 4
 
2.5%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17955
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53881
57.4%
Common 39811
42.4%
Latin 164
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7718
14.3%
4503
 
8.4%
4217
 
7.8%
4211
 
7.8%
4211
 
7.8%
3622
 
6.7%
3349
 
6.2%
3123
 
5.8%
2595
 
4.8%
2355
 
4.4%
Other values (217) 13977
25.9%
Common
ValueCountFrequency (%)
17955
45.1%
1 3623
 
9.1%
- 3233
 
8.1%
2 2469
 
6.2%
0 2086
 
5.2%
3 2080
 
5.2%
4 1669
 
4.2%
5 1382
 
3.5%
6 1341
 
3.4%
9 1307
 
3.3%
Other values (5) 2666
 
6.7%
Latin
ValueCountFrequency (%)
B 82
50.0%
L 69
42.1%
b 4
 
2.4%
A 4
 
2.4%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53880
57.4%
ASCII 39975
42.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17955
44.9%
1 3623
 
9.1%
- 3233
 
8.1%
2 2469
 
6.2%
0 2086
 
5.2%
3 2080
 
5.2%
4 1669
 
4.2%
5 1382
 
3.5%
6 1341
 
3.4%
9 1307
 
3.3%
Other values (13) 2830
 
7.1%
Hangul
ValueCountFrequency (%)
7718
14.3%
4503
 
8.4%
4217
 
7.8%
4211
 
7.8%
4211
 
7.8%
3622
 
6.7%
3349
 
6.2%
3123
 
5.8%
2595
 
4.8%
2355
 
4.4%
Other values (216) 13976
25.9%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2849
Distinct (%)87.0%
Missing1052
Missing (%)24.3%
Memory size33.9 KiB
2024-04-21T21:25:01.342797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.631338
Min length19

Characters and Unicode

Total characters83917
Distinct characters306
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

Unique2513 ?
Unique (%)76.8%

Sample

1st row대구광역시 중구 동덕로 167 (동인동2가)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
4th row대구광역시 중구 달구벌대로 2095 (덕산동)
5th row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
ValueCountFrequency (%)
대구광역시 3274
 
19.7%
달서구 1028
 
6.2%
서구 829
 
5.0%
달성군 648
 
3.9%
북구 484
 
2.9%
논공읍 320
 
1.9%
이현동 281
 
1.7%
비산동 275
 
1.7%
노원동3가 265
 
1.6%
갈산동 243
 
1.5%
Other values (1691) 9004
54.1%
2024-04-21T21:25:02.720846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14093
 
16.8%
6203
 
7.4%
3830
 
4.6%
3294
 
3.9%
3280
 
3.9%
3279
 
3.9%
3189
 
3.8%
3095
 
3.7%
2961
 
3.5%
( 2724
 
3.2%
Other values (296) 37969
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51089
60.9%
Space Separator 14093
 
16.8%
Decimal Number 12520
 
14.9%
Open Punctuation 2724
 
3.2%
Close Punctuation 2724
 
3.2%
Dash Punctuation 540
 
0.6%
Other Punctuation 188
 
0.2%
Uppercase Letter 38
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6203
 
12.1%
3830
 
7.5%
3294
 
6.4%
3280
 
6.4%
3279
 
6.4%
3189
 
6.2%
3095
 
6.1%
2961
 
5.8%
2131
 
4.2%
2103
 
4.1%
Other values (270) 17724
34.7%
Decimal Number
ValueCountFrequency (%)
1 2345
18.7%
3 1793
14.3%
2 1767
14.1%
5 1144
9.1%
4 1106
8.8%
6 1042
8.3%
7 947
7.6%
9 854
 
6.8%
0 762
 
6.1%
8 760
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
28.9%
A 7
18.4%
K 5
13.2%
L 4
 
10.5%
S 3
 
7.9%
M 2
 
5.3%
C 2
 
5.3%
T 2
 
5.3%
E 1
 
2.6%
G 1
 
2.6%
Space Separator
ValueCountFrequency (%)
14093
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2724
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%
Other Punctuation
ValueCountFrequency (%)
, 188
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51090
60.9%
Common 32789
39.1%
Latin 38
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6203
 
12.1%
3830
 
7.5%
3294
 
6.4%
3280
 
6.4%
3279
 
6.4%
3189
 
6.2%
3095
 
6.1%
2961
 
5.8%
2131
 
4.2%
2103
 
4.1%
Other values (271) 17725
34.7%
Common
ValueCountFrequency (%)
14093
43.0%
( 2724
 
8.3%
) 2724
 
8.3%
1 2345
 
7.2%
3 1793
 
5.5%
2 1767
 
5.4%
5 1144
 
3.5%
4 1106
 
3.4%
6 1042
 
3.2%
7 947
 
2.9%
Other values (5) 3104
 
9.5%
Latin
ValueCountFrequency (%)
B 11
28.9%
A 7
18.4%
K 5
13.2%
L 4
 
10.5%
S 3
 
7.9%
M 2
 
5.3%
C 2
 
5.3%
T 2
 
5.3%
E 1
 
2.6%
G 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51089
60.9%
ASCII 32827
39.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14093
42.9%
( 2724
 
8.3%
) 2724
 
8.3%
1 2345
 
7.1%
3 1793
 
5.5%
2 1767
 
5.4%
5 1144
 
3.5%
4 1106
 
3.4%
6 1042
 
3.2%
7 947
 
2.9%
Other values (15) 3142
 
9.6%
Hangul
ValueCountFrequency (%)
6203
 
12.1%
3830
 
7.5%
3294
 
6.4%
3280
 
6.4%
3279
 
6.4%
3189
 
6.2%
3095
 
6.1%
2961
 
5.8%
2131
 
4.2%
2103
 
4.1%
Other values (270) 17724
34.7%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)19.8%
Missing2591
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean419557.62
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:02.957036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41500
Q142703
median702815
Q3704833
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662130

Descriptive statistics

Standard deviation328556.93
Coefficient of variation (CV)0.78310324
Kurtosis-1.9245704
Mean419557.62
Median Absolute Deviation (MAD)9040
Skewness-0.27823253
Sum7.2793247 × 108
Variance1.0794966 × 1011
MonotonicityNot monotonic
2024-04-21T21:25:03.198779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 79
 
1.8%
702815 55
 
1.3%
704833 45
 
1.0%
711855 45
 
1.0%
704190 42
 
1.0%
703830 35
 
0.8%
702872 33
 
0.8%
704920 29
 
0.7%
703825 29
 
0.7%
Other values (334) 1254
29.0%
(Missing) 2591
59.9%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 11
0.3%
41079 4
 
0.1%
41081 5
0.1%
41082 2
 
< 0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 2
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 20
0.5%
711857 16
0.4%
Distinct3699
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
2024-04-21T21:25:04.131019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.2182154
Min length2

Characters and Unicode

Total characters31226
Distinct characters573
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

Unique3201 ?
Unique (%)74.0%

Sample

1st row(주)케이티에스테이트
2nd row신일모터스
3rd row(주)대구에치티개발
4th row엔에이치아문디전문투자형사모부동산투자신탁17호
5th row(주)국민은행 대구지점
ValueCountFrequency (%)
주식회사 60
 
1.3%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 14
 
0.3%
입주자대표회의 12
 
0.3%
성서공장 10
 
0.2%
10
 
0.2%
대구지점 8
 
0.2%
태성산업 7
 
0.1%
대성산업 7
 
0.1%
Other values (3803) 4570
96.4%
2024-04-21T21:25:05.284498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1998
 
6.4%
) 1975
 
6.3%
1928
 
6.2%
989
 
3.2%
835
 
2.7%
821
 
2.6%
759
 
2.4%
667
 
2.1%
501
 
1.6%
494
 
1.6%
Other values (563) 20259
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25844
82.8%
Open Punctuation 1999
 
6.4%
Close Punctuation 1976
 
6.3%
Space Separator 416
 
1.3%
Uppercase Letter 373
 
1.2%
Other Punctuation 218
 
0.7%
Other Symbol 202
 
0.6%
Decimal Number 178
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1928
 
7.5%
989
 
3.8%
835
 
3.2%
821
 
3.2%
759
 
2.9%
667
 
2.6%
501
 
1.9%
494
 
1.9%
486
 
1.9%
482
 
1.9%
Other values (505) 17882
69.2%
Uppercase Letter
ValueCountFrequency (%)
S 46
 
12.3%
C 34
 
9.1%
T 30
 
8.0%
E 26
 
7.0%
K 22
 
5.9%
D 20
 
5.4%
M 20
 
5.4%
P 20
 
5.4%
O 19
 
5.1%
G 18
 
4.8%
Other values (15) 118
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
t 1
 
7.1%
n 1
 
7.1%
o 1
 
7.1%
g 1
 
7.1%
r 1
 
7.1%
a 1
 
7.1%
m 1
 
7.1%
c 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 79
44.4%
1 62
34.8%
3 20
 
11.2%
8 6
 
3.4%
5 4
 
2.2%
6 3
 
1.7%
4 2
 
1.1%
7 1
 
0.6%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 104
47.7%
, 85
39.0%
& 17
 
7.8%
/ 7
 
3.2%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1998
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1975
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
416
100.0%
Other Symbol
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26046
83.4%
Common 4793
 
15.3%
Latin 387
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1928
 
7.4%
989
 
3.8%
835
 
3.2%
821
 
3.2%
759
 
2.9%
667
 
2.6%
501
 
1.9%
494
 
1.9%
486
 
1.9%
482
 
1.9%
Other values (506) 18084
69.4%
Latin
ValueCountFrequency (%)
S 46
 
11.9%
C 34
 
8.8%
T 30
 
7.8%
E 26
 
6.7%
K 22
 
5.7%
D 20
 
5.2%
M 20
 
5.2%
P 20
 
5.2%
O 19
 
4.9%
G 18
 
4.7%
Other values (25) 132
34.1%
Common
ValueCountFrequency (%)
( 1998
41.7%
) 1975
41.2%
416
 
8.7%
. 104
 
2.2%
, 85
 
1.8%
2 79
 
1.6%
1 62
 
1.3%
3 20
 
0.4%
& 17
 
0.4%
/ 7
 
0.1%
Other values (12) 30
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25844
82.8%
ASCII 5178
 
16.6%
None 204
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1998
38.6%
) 1975
38.1%
416
 
8.0%
. 104
 
2.0%
, 85
 
1.6%
2 79
 
1.5%
1 62
 
1.2%
S 46
 
0.9%
C 34
 
0.7%
T 30
 
0.6%
Other values (46) 349
 
6.7%
Hangul
ValueCountFrequency (%)
1928
 
7.5%
989
 
3.8%
835
 
3.2%
821
 
3.2%
759
 
2.9%
667
 
2.6%
501
 
1.9%
494
 
1.9%
486
 
1.9%
482
 
1.9%
Other values (505) 17882
69.2%
None
ValueCountFrequency (%)
202
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4325
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140678 × 1013
Minimum2.0001018 × 1013
Maximum2.021063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:05.537500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040628 × 1013
Q12.009121 × 1013
median2.015113 × 1013
Q32.020012 × 1013
95-th percentile2.0210513 × 1013
Maximum2.021063 × 1013
Range2.0961199 × 1011
Interquartile range (IQR)1.0890973 × 1011

Descriptive statistics

Standard deviation5.8249499 × 1010
Coefficient of variation (CV)0.0028921319
Kurtosis-1.1646247
Mean2.0140678 × 1013
Median Absolute Deviation (MAD)4.9473415 × 1010
Skewness-0.4103323
Sum8.7128575 × 1016
Variance3.3930041 × 1021
MonotonicityNot monotonic
2024-04-21T21:25:05.803161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20070323110123 1
 
< 0.1%
20171107153035 1
 
< 0.1%
20180126165622 1
 
< 0.1%
20171024203301 1
 
< 0.1%
20170609162949 1
 
< 0.1%
20130117164943 1
 
< 0.1%
20020612112637 1
 
< 0.1%
20130527145756 1
 
< 0.1%
20060404141535 1
 
< 0.1%
Other values (4315) 4315
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 (%)
20210630155341 1
< 0.1%
20210630101857 1
< 0.1%
20210630095511 1
< 0.1%
20210629130836 1
< 0.1%
20210629125900 1
< 0.1%
20210629125740 1
< 0.1%
20210629125627 1
< 0.1%
20210629125459 1
< 0.1%
20210629125422 1
< 0.1%
20210629125331 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
I
2885 
U
1441 

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 2885
66.7%
U 1441
33.3%

Length

2024-04-21T21:25:06.025018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:25:06.196084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2885
66.7%
u 1441
33.3%
Distinct614
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
Minimum2018-09-01 23:59:59
Maximum2021-07-02 02:40:00
2024-04-21T21:25:06.495436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:25:06.906620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct424
Distinct (%)14.3%
Missing1371
Missing (%)31.7%
Memory size33.9 KiB
2024-04-21T21:25:07.886446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.180711
Min length2

Characters and Unicode

Total characters33039
Distinct characters297
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

Unique191 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row금융업
3rd row부동산 임대업
4th row우편 및 소포 송달업
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1440
 
15.8%
기타 905
 
9.9%
799
 
8.7%
자동차 344
 
3.8%
가공업 304
 
3.3%
염색 286
 
3.1%
수리업 279
 
3.1%
섬유 263
 
2.9%
조립금속제품 240
 
2.6%
그외 210
 
2.3%
Other values (571) 4063
44.5%
2024-04-21T21:25:09.309076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6182
18.7%
3001
 
9.1%
2518
 
7.6%
1840
 
5.6%
1281
 
3.9%
1103
 
3.3%
981
 
3.0%
870
 
2.6%
825
 
2.5%
721
 
2.2%
Other values (287) 13717
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26699
80.8%
Space Separator 6182
 
18.7%
Other Punctuation 135
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
Other Punctuation
ValueCountFrequency (%)
, 123
91.1%
· 7
 
5.2%
; 5
 
3.7%
Space Separator
ValueCountFrequency (%)
6182
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26699
80.8%
Common 6340
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
Common
ValueCountFrequency (%)
6182
97.5%
, 123
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26699
80.8%
ASCII 6333
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6182
97.6%
, 123
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2644
Distinct (%)78.1%
Missing940
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean337891.65
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:09.539439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328255.85
Q1335054.25
median338252.32
Q3340167.02
95-th percentile348336.18
Maximum357474.36
Range32647.303
Interquartile range (IQR)5112.7684

Descriptive statistics

Standard deviation5788.8354
Coefficient of variation (CV)0.017132224
Kurtosis1.4985725
Mean337891.65
Median Absolute Deviation (MAD)2857.3873
Skewness0.72955714
Sum1.1441011 × 109
Variance33510615
MonotonicityNot monotonic
2024-04-21T21:25:09.944341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 12
 
0.3%
336353.196287 8
 
0.2%
336366.064252 8
 
0.2%
338653.414866 7
 
0.2%
339163.824109 7
 
0.2%
336559.670287 7
 
0.2%
335898.647221 7
 
0.2%
338853.934043 6
 
0.1%
339372.436369 6
 
0.1%
339267.316441 6
 
0.1%
Other values (2634) 3312
76.6%
(Missing) 940
 
21.7%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325101.677227 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
325928.444036 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 2
< 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 

Distinct2642
Distinct (%)78.0%
Missing940
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean261110.41
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:10.303818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile244862.25
Q1259904.86
median263146.75
Q3265769.61
95-th percentile267950.1
Maximum278091.65
Range41927.261
Interquartile range (IQR)5864.7487

Descriptive statistics

Standard deviation6997.9338
Coefficient of variation (CV)0.02680067
Kurtosis2.4849602
Mean261110.41
Median Absolute Deviation (MAD)2929.552
Skewness-1.6573334
Sum8.8411984 × 108
Variance48971078
MonotonicityNot monotonic
2024-04-21T21:25:10.549561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 12
 
0.3%
261562.315791 8
 
0.2%
261651.801477 8
 
0.2%
258962.00812 7
 
0.2%
263466.441258 7
 
0.2%
261730.820003 7
 
0.2%
265188.870359 7
 
0.2%
266176.21665 6
 
0.1%
260602.149585 6
 
0.1%
263299.390649 6
 
0.1%
Other values (2632) 3312
76.6%
(Missing) 940
 
21.7%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
236283.746887 1
< 0.1%
237420.318841 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%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 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 2
< 0.1%
272669.414848 1
< 0.1%
272229.951945 1
< 0.1%
271973.249974 2
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
대기배출업소관리
4326 

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 4326
100.0%

Length

2024-04-21T21:25:10.766685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:25:10.932348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4326
100.0%

업종구분명
Text

MISSING 

Distinct424
Distinct (%)14.3%
Missing1371
Missing (%)31.7%
Memory size33.9 KiB
2024-04-21T21:25:11.772883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.180711
Min length2

Characters and Unicode

Total characters33039
Distinct characters297
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

Unique191 ?
Unique (%)6.5%

Sample

1st row비거주용 건물 건설업
2nd row금융업
3rd row부동산 임대업
4th row우편 및 소포 송달업
5th row주거용 부동산 관리업
ValueCountFrequency (%)
제조업 1440
 
15.8%
기타 905
 
9.9%
799
 
8.7%
자동차 344
 
3.8%
가공업 304
 
3.3%
염색 286
 
3.1%
수리업 279
 
3.1%
섬유 263
 
2.9%
조립금속제품 240
 
2.6%
그외 210
 
2.3%
Other values (571) 4063
44.5%
2024-04-21T21:25:12.924579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6182
18.7%
3001
 
9.1%
2518
 
7.6%
1840
 
5.6%
1281
 
3.9%
1103
 
3.3%
981
 
3.0%
870
 
2.6%
825
 
2.5%
721
 
2.2%
Other values (287) 13717
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26699
80.8%
Space Separator 6182
 
18.7%
Other Punctuation 135
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
Other Punctuation
ValueCountFrequency (%)
, 123
91.1%
· 7
 
5.2%
; 5
 
3.7%
Space Separator
ValueCountFrequency (%)
6182
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26699
80.8%
Common 6340
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
Common
ValueCountFrequency (%)
6182
97.5%
, 123
 
1.9%
1 23
 
0.4%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26699
80.8%
ASCII 6333
 
19.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6182
97.6%
, 123
 
1.9%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3001
 
11.2%
2518
 
9.4%
1840
 
6.9%
1281
 
4.8%
1103
 
4.1%
981
 
3.7%
870
 
3.3%
825
 
3.1%
721
 
2.7%
604
 
2.3%
Other values (282) 12955
48.5%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.9 KiB
5종
2290 
4종
1423 
3종
 
205
<NA>
 
188
2종
 
182

Length

Max length4
Median length2
Mean length2.0869163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2290
52.9%
4종 1423
32.9%
3종 205
 
4.7%
<NA> 188
 
4.3%
2종 182
 
4.2%
1종 38
 
0.9%

Length

2024-04-21T21:25:13.162200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:25:13.371169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2290
52.9%
4종 1423
32.9%
3종 205
 
4.7%
na 188
 
4.3%
2종 182
 
4.2%
1종 38
 
0.9%

주생산품명
Text

MISSING 

Distinct881
Distinct (%)62.5%
Missing2916
Missing (%)67.4%
Memory size33.9 KiB
2024-04-21T21:25:14.281624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.941844
Min length1

Characters and Unicode

Total characters8378
Distinct characters455
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

Unique709 ?
Unique (%)50.3%

Sample

1st row전력,온수
2nd row수리된 자동차
3rd row자동차용 고무제품
4th row천연가스
5th row자동차용고무제품
ValueCountFrequency (%)
자동차부품 175
 
9.6%
자동차 42
 
2.3%
38
 
2.1%
안경테 31
 
1.7%
28
 
1.5%
부품 25
 
1.4%
가공원단 20
 
1.1%
전자부품 20
 
1.1%
고무시트 19
 
1.0%
재생칩 18
 
1.0%
Other values (914) 1405
77.2%
2024-04-21T21:25:15.659641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
6.1%
415
 
5.0%
411
 
4.9%
391
 
4.7%
348
 
4.2%
342
 
4.1%
167
 
2.0%
159
 
1.9%
134
 
1.6%
, 131
 
1.6%
Other values (445) 5371
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7341
87.6%
Space Separator 411
 
4.9%
Uppercase Letter 248
 
3.0%
Other Punctuation 145
 
1.7%
Lowercase Letter 90
 
1.1%
Open Punctuation 67
 
0.8%
Close Punctuation 67
 
0.8%
Dash Punctuation 4
 
< 0.1%
Decimal Number 4
 
< 0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
509
 
6.9%
415
 
5.7%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
159
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4635
63.1%
Uppercase Letter
ValueCountFrequency (%)
P 46
18.5%
E 37
14.9%
L 20
8.1%
C 20
8.1%
D 17
 
6.9%
T 16
 
6.5%
I 15
 
6.0%
O 14
 
5.6%
A 10
 
4.0%
R 10
 
4.0%
Other values (13) 43
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 10
11.1%
i 9
10.0%
t 8
 
8.9%
e 8
 
8.9%
r 8
 
8.9%
l 7
 
7.8%
a 6
 
6.7%
c 5
 
5.6%
f 5
 
5.6%
n 3
 
3.3%
Other values (12) 21
23.3%
Other Punctuation
ValueCountFrequency (%)
, 131
90.3%
. 11
 
7.6%
/ 2
 
1.4%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7341
87.6%
Common 699
 
8.3%
Latin 338
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
509
 
6.9%
415
 
5.7%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
159
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4635
63.1%
Latin
ValueCountFrequency (%)
P 46
 
13.6%
E 37
 
10.9%
L 20
 
5.9%
C 20
 
5.9%
D 17
 
5.0%
T 16
 
4.7%
I 15
 
4.4%
O 14
 
4.1%
o 10
 
3.0%
A 10
 
3.0%
Other values (35) 133
39.3%
Common
ValueCountFrequency (%)
411
58.8%
, 131
 
18.7%
( 67
 
9.6%
) 67
 
9.6%
. 11
 
1.6%
- 4
 
0.6%
/ 2
 
0.3%
2 2
 
0.3%
1
 
0.1%
& 1
 
0.1%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7341
87.6%
ASCII 1036
 
12.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
509
 
6.9%
415
 
5.7%
391
 
5.3%
348
 
4.7%
342
 
4.7%
167
 
2.3%
159
 
2.2%
134
 
1.8%
125
 
1.7%
116
 
1.6%
Other values (388) 4635
63.1%
ASCII
ValueCountFrequency (%)
411
39.7%
, 131
 
12.6%
( 67
 
6.5%
) 67
 
6.5%
P 46
 
4.4%
E 37
 
3.6%
L 20
 
1.9%
C 20
 
1.9%
D 17
 
1.6%
T 16
 
1.5%
Other values (46) 204
19.7%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct34
Distinct (%)0.8%
Missing61
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.6920985
Minimum0
Maximum912
Zeros1374
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:15.882543image/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 deviation15.64012
Coefficient of variation (CV)2.0332709
Kurtosis2621.9682
Mean7.6920985
Median Absolute Deviation (MAD)4
Skewness45.447585
Sum32806.8
Variance244.61335
MonotonicityNot monotonic
2024-04-21T21:25:16.094301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1575
36.4%
0.0 1374
31.8%
24.0 438
 
10.1%
10.0 243
 
5.6%
6.0 84
 
1.9%
12.0 76
 
1.8%
5.0 62
 
1.4%
20.0 61
 
1.4%
4.0 58
 
1.3%
7.0 52
 
1.2%
Other values (24) 242
 
5.6%
(Missing) 61
 
1.4%
ValueCountFrequency (%)
0.0 1374
31.8%
1.0 11
 
0.3%
1.3 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 16
 
0.4%
2.5 1
 
< 0.1%
3.0 24
 
0.6%
3.5 1
 
< 0.1%
4.0 58
 
1.3%
5.0 62
 
1.4%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 2
 
< 0.1%
24.0 438
10.1%
22.0 13
 
0.3%
21.0 9
 
0.2%
20.0 61
 
1.4%
19.0 3
 
0.1%
18.0 6
 
0.1%
17.0 3
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)2.2%
Missing66
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean197.46854
Minimum0
Maximum365
Zeros1388
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:16.325592image/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 deviation141.01311
Coefficient of variation (CV)0.71410417
Kurtosis-1.5173305
Mean197.46854
Median Absolute Deviation (MAD)0
Skewness-0.62946238
Sum841216
Variance19884.698
MonotonicityNot monotonic
2024-04-21T21:25:16.574158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2213
51.2%
0 1388
32.1%
240 74
 
1.7%
365 61
 
1.4%
312 41
 
0.9%
360 38
 
0.9%
250 35
 
0.8%
264 34
 
0.8%
180 26
 
0.6%
280 24
 
0.6%
Other values (84) 326
 
7.5%
(Missing) 66
 
1.5%
ValueCountFrequency (%)
0 1388
32.1%
8 2
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 4
 
0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 61
1.4%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 38
0.9%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
 
0.3%
341 2
 
< 0.1%
340 14
 
0.3%
338 1
 
< 0.1%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.9%
Missing445
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean7.3418707
Minimum0
Maximum360
Zeros1371
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:16.808310image/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 deviation11.185326
Coefficient of variation (CV)1.523498
Kurtosis446.40519
Mean7.3418707
Median Absolute Deviation (MAD)4
Skewness16.221762
Sum28493.8
Variance125.11151
MonotonicityNot monotonic
2024-04-21T21:25:17.033847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1420
32.8%
0.0 1371
31.7%
24.0 368
 
8.5%
10.0 198
 
4.6%
6.0 72
 
1.7%
12.0 60
 
1.4%
5.0 58
 
1.3%
20.0 51
 
1.2%
7.0 49
 
1.1%
16.0 44
 
1.0%
Other values (23) 190
 
4.4%
(Missing) 445
 
10.3%
ValueCountFrequency (%)
0.0 1371
31.7%
1.0 9
 
0.2%
1.3 1
 
< 0.1%
2.0 10
 
0.2%
3.0 14
 
0.3%
4.0 44
 
1.0%
5.0 58
 
1.3%
6.0 72
 
1.7%
7.0 49
 
1.1%
7.5 2
 
< 0.1%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
300.0 1
 
< 0.1%
264.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 368
8.5%
22.0 10
 
0.2%
21.0 9
 
0.2%
20.0 51
 
1.2%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)2.1%
Missing406
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean191.27526
Minimum0
Maximum365
Zeros1378
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size38.1 KiB
2024-04-21T21:25:17.284317image/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 deviation143.43693
Coefficient of variation (CV)0.74989802
Kurtosis-1.6399637
Mean191.27526
Median Absolute Deviation (MAD)0
Skewness-0.54286485
Sum749799
Variance20574.154
MonotonicityNot monotonic
2024-04-21T21:25:17.535342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2010
46.5%
0 1378
31.9%
240 62
 
1.4%
365 42
 
1.0%
312 41
 
0.9%
360 33
 
0.8%
250 32
 
0.7%
264 25
 
0.6%
280 23
 
0.5%
330 20
 
0.5%
Other values (74) 254
 
5.9%
(Missing) 406
 
9.4%
ValueCountFrequency (%)
0 1378
31.9%
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 42
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 33
0.8%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 12
 
0.3%
341 2
 
< 0.1%
340 13
 
0.3%
338 1
 
< 0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120200000120200625<NA>1영업/정상11영업<NA><NA><NA><NA>0534310803<NA><NA>대구광역시 중구 동인동2가 74-15대구광역시 중구 동덕로 167 (동인동2가)<NA>(주)케이티에스테이트20200923085534U2020-09-25 02:40:00.0비거주용 건물 건설업344751.422529264471.140592대기배출업소관리비거주용 건물 건설업5종<NA>1.0300<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120140000120140626<NA>4취소/말소/만료/정지/중지4폐쇄20191205<NA><NA><NA>593-3198<NA><NA>대구광역시 중구 수창동 47-1번지대구광역시 중구 달성로26길 86 (수창동)700850신일모터스20191205182833U2019-12-07 02:40:00.0<NA>343222.95548265036.439644대기배출업소관리<NA>5종<NA>8.0300<NA>300
23대기오염물질배출시설설치사업장09_30_08_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>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001520151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-250-5555<NA><NA>대구광역시 중구 덕산동 110대구광역시 중구 달구벌대로 2095 (덕산동)41936엔에이치아문디전문투자형사모부동산투자신탁17호20210601135950U2021-06-03 02:40:00.0금융업343787.134091264065.576741대기배출업소관리금융업4종<NA>6.0196<NA><NA>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20200810091933U2020-08-12 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>10.0150<NA><NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20201213124447U2020-12-15 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>8.0300<NA><NA>
67대기오염물질배출시설설치사업장09_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>
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20201026163350U2020-10-28 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>5.01505.0<NA>
89대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002120151221<NA>1영업/정상11영업<NA><NA><NA><NA>0532453107<NA><NA><NA>대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점)41936(주)현대백화점 대구점20201008095607U2020-10-10 02:40:00.0<NA>343588.735555264119.01075대기배출업소관리<NA>4종<NA>10.0240<NA><NA>
910대기오염물질배출시설설치사업장09_30_08_P341000034100002120150002220151221<NA>1영업/정상11영업<NA><NA><NA><NA>0534259811<NA><NA><NA>대구광역시 중구 중앙대로 418 (남일동, 우리은행)41937(주)우리은행 대구지점20201213125602U2020-12-15 02:40:00.0<NA>343902.069691264514.570586대기배출업소관리<NA>5종<NA>4.0120<NA><NA>
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43174318대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000420080221<NA>1영업/정상11영업<NA><NA><NA><NA>0535913707<NA><NA>대구광역시 달성군 구지면 예현리 768-15대구광역시 달성군 구지면 달성2차동3로 7<NA>삼성분말야금(주)20210131134334U2021-02-02 02:40:00.0분말야금제품 제조업329175.580143237863.093552대기배출업소관리분말야금제품 제조업5종자동차부품24.036024.0360
43184319대기오염물질배출시설설치사업장09_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
43194320대기오염물질배출시설설치사업장09_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)신화캐스팅20200524155408U2020-05-26 02:40:00.0선철주물 주조업332959.428756248782.732222대기배출업소관리선철주물 주조업4종주물제품6.03006.0300
43204321대기오염물질배출시설설치사업장09_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
43214322대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000920080404<NA>1영업/정상11영업<NA><NA><NA><NA>0536119350<NA><NA>대구광역시 달성군 구지면 내리 847-10대구광역시 달성군 구지면 달성2차4로 59<NA>텍산(주)20210128142443U2021-01-30 02:40:00.0금속 열처리업328742.127143238572.966182대기배출업소관리금속 열처리업5종무한궤도24.030024.0300
43224323대기오염물질배출시설설치사업장09_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
43234324대기오염물질배출시설설치사업장09_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
43244325대기오염물질배출시설설치사업장09_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
43254326대기오염물질배출시설설치사업장09_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