Overview

Dataset statistics

Number of variables36
Number of observations4178
Missing cells39572
Missing cells (%)26.3%
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_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085435&dataSetDetailId=DDI_0000085503&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가일자 has 140 (3.4%) missing valuesMissing
인허가취소일자 has 4178 (100.0%) missing valuesMissing
폐업일자 has 2423 (58.0%) missing valuesMissing
휴업시작일자 has 4178 (100.0%) missing valuesMissing
휴업종료일자 has 4178 (100.0%) missing valuesMissing
재개업일자 has 4178 (100.0%) missing valuesMissing
소재지전화 has 663 (15.9%) missing valuesMissing
소재지면적 has 4178 (100.0%) missing valuesMissing
소재지우편번호 has 3255 (77.9%) missing valuesMissing
소재지전체주소 has 159 (3.8%) missing valuesMissing
도로명전체주소 has 1053 (25.2%) missing valuesMissing
도로명우편번호 has 2572 (61.6%) missing valuesMissing
업태구분명 has 1399 (33.5%) missing valuesMissing
좌표정보(X) has 941 (22.5%) missing valuesMissing
좌표정보(Y) has 941 (22.5%) missing valuesMissing
업종구분명 has 1399 (33.5%) missing valuesMissing
주생산품명 has 2799 (67.0%) missing valuesMissing
배출시설조업시간 has 56 (1.3%) missing valuesMissing
배출시설연간가동일수 has 59 (1.4%) missing valuesMissing
방지시설조업시간 has 418 (10.0%) missing valuesMissing
방지시설연간가동일수 has 405 (9.7%) missing valuesMissing
배출시설조업시간 is highly skewed (γ1 = 44.80751808)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 1376 (32.9%) zerosZeros
배출시설연간가동일수 has 1390 (33.3%) zerosZeros
방지시설조업시간 has 1375 (32.9%) zerosZeros
방지시설연간가동일수 has 1382 (33.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:15:26.964531
Analysis finished2023-12-10 18:15:29.836238
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2089.5
Minimum1
Maximum4178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:29.997152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile209.85
Q11045.25
median2089.5
Q33133.75
95-th percentile3969.15
Maximum4178
Range4177
Interquartile range (IQR)2088.5

Descriptive statistics

Standard deviation1206.229
Coefficient of variation (CV)0.57728119
Kurtosis-1.2
Mean2089.5
Median Absolute Deviation (MAD)1044.5
Skewness0
Sum8729931
Variance1454988.5
MonotonicityStrictly increasing
2023-12-11T03:15:30.353543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2777 1
 
< 0.1%
2779 1
 
< 0.1%
2780 1
 
< 0.1%
2781 1
 
< 0.1%
2782 1
 
< 0.1%
2783 1
 
< 0.1%
2784 1
 
< 0.1%
2785 1
 
< 0.1%
2786 1
 
< 0.1%
Other values (4168) 4168
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 (%)
4178 1
< 0.1%
4177 1
< 0.1%
4176 1
< 0.1%
4175 1
< 0.1%
4174 1
< 0.1%
4173 1
< 0.1%
4172 1
< 0.1%
4171 1
< 0.1%
4170 1
< 0.1%
4169 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
대기오염물질배출시설설치사업장
4178 

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 4178
100.0%

Length

2023-12-11T03:15:30.580425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:30.775980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 4178
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
09_30_08_P
4178 

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 4178
100.0%

Length

2023-12-11T03:15:30.972743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:31.134774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 4178
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456393
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:31.540157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation20503.26
Coefficient of variation (CV)0.0059319818
Kurtosis-1.3345423
Mean3456393
Median Absolute Deviation (MAD)10000
Skewness-0.49714545
Sum1.444081 × 1010
Variance4.2038369 × 108
MonotonicityIncreasing
2023-12-11T03:15:31.746140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1669
39.9%
3430000 1085
26.0%
3480000 687
16.4%
3450000 447
 
10.7%
3420000 166
 
4.0%
3460000 77
 
1.8%
3410000 30
 
0.7%
3440000 17
 
0.4%
ValueCountFrequency (%)
3410000 30
 
0.7%
3420000 166
 
4.0%
3430000 1085
26.0%
3440000 17
 
0.4%
3450000 447
 
10.7%
3460000 77
 
1.8%
3470000 1669
39.9%
3480000 687
16.4%
ValueCountFrequency (%)
3480000 687
16.4%
3470000 1669
39.9%
3460000 77
 
1.8%
3450000 447
 
10.7%
3440000 17
 
0.4%
3430000 1085
26.0%
3420000 166
 
4.0%
3410000 30
 
0.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4563932 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:31.980088image/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 deviation2.050326 × 1015
Coefficient of variation (CV)0.0059319815
Kurtosis-1.3345423
Mean3.4563932 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.49714545
Sum5.2350508 × 1018
Variance4.2038369 × 1030
MonotonicityNot monotonic
2023-12-11T03:15:32.258153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021201500014 1
 
< 0.1%
347000021199500044 1
 
< 0.1%
347000021199500046 1
 
< 0.1%
347000021199600001 1
 
< 0.1%
347000021199600002 1
 
< 0.1%
347000021199600004 1
 
< 0.1%
347000021199600005 1
 
< 0.1%
347000021199600006 1
 
< 0.1%
347000021199600007 1
 
< 0.1%
347000021198700008 1
 
< 0.1%
Other values (4168) 4168
99.8%
ValueCountFrequency (%)
341000021200400001 1
< 0.1%
341000021200400002 1
< 0.1%
341000021200700001 1
< 0.1%
341000021201400001 1
< 0.1%
341000021201500001 1
< 0.1%
341000021201500002 1
< 0.1%
341000021201500004 1
< 0.1%
341000021201500005 1
< 0.1%
341000021201500006 1
< 0.1%
341000021201500008 1
< 0.1%
ValueCountFrequency (%)
348000021202000009 1
< 0.1%
348000021202000008 1
< 0.1%
348000021202000007 1
< 0.1%
348000021202000006 1
< 0.1%
348000021202000005 1
< 0.1%
348000021202000004 1
< 0.1%
348000021202000003 1
< 0.1%
348000021202000002 1
< 0.1%
348000021202000001 1
< 0.1%
348000021201900035 1
< 0.1%

인허가일자
Real number (ℝ)

MISSING 

Distinct2587
Distinct (%)64.1%
Missing140
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean20031033
Minimum19010101
Maximum20200626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:32.564987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19870112
Q119990846
median20040701
Q320120427
95-th percentile20171027
Maximum20200626
Range1190525
Interquartile range (IQR)129581.25

Descriptive statistics

Standard deviation147700.49
Coefficient of variation (CV)0.0073735831
Kurtosis26.992731
Mean20031033
Median Absolute Deviation (MAD)70283
Skewness-4.2952425
Sum8.0885312 × 1010
Variance2.1815434 × 1010
MonotonicityNot monotonic
2023-12-11T03:15:32.828196image/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
 
0.9%
20040628 25
 
0.6%
20040630 24
 
0.6%
20120322 23
 
0.6%
19840210 18
 
0.4%
19940427 16
 
0.4%
20040603 13
 
0.3%
Other values (2577) 3707
88.7%
(Missing) 140
 
3.4%
ValueCountFrequency (%)
19010101 52
1.2%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
19781205 1
 
< 0.1%
19781229 1
 
< 0.1%
19790220 6
 
0.1%
ValueCountFrequency (%)
20200626 1
 
< 0.1%
20200625 1
 
< 0.1%
20200624 1
 
< 0.1%
20200611 1
 
< 0.1%
20200528 1
 
< 0.1%
20200515 1
 
< 0.1%
20200330 3
0.1%
20200317 1
 
< 0.1%
20200303 1
 
< 0.1%
20200228 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4178
Missing (%)100.0%
Memory size36.8 KiB
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
3
1921 
1
1866 
4
382 
2
 
9

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 1921
46.0%
1 1866
44.7%
4 382
 
9.1%
2 9
 
0.2%

Length

2023-12-11T03:15:33.036490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:33.231022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1921
46.0%
1 1866
44.7%
4 382
 
9.1%
2 9
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
폐업
1921 
영업/정상
1866 
취소/말소/만료/정지/중지
382 
휴업
 
9

Length

Max length14
Median length5
Mean length4.4370512
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 1921
46.0%
영업/정상 1866
44.7%
취소/말소/만료/정지/중지 382
 
9.1%
휴업 9
 
0.2%

Length

2023-12-11T03:15:33.450870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:33.714183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1921
46.0%
영업/정상 1866
44.7%
취소/말소/만료/정지/중지 382
 
9.1%
휴업 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2
1921 
11
1866 
4
382 
1
 
9

Length

Max length2
Median length1
Mean length1.4466252
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1921
46.0%
11 1866
44.7%
4 382
 
9.1%
1 9
 
0.2%

Length

2023-12-11T03:15:33.962430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:34.161490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1921
46.0%
11 1866
44.7%
4 382
 
9.1%
1 9
 
0.2%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
폐업
1921 
영업
1866 
폐쇄
382 
휴업
 
9

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 1921
46.0%
영업 1866
44.7%
폐쇄 382
 
9.1%
휴업 9
 
0.2%

Length

2023-12-11T03:15:34.366122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:34.559214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1921
46.0%
영업 1866
44.7%
폐쇄 382
 
9.1%
휴업 9
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1101
Distinct (%)62.7%
Missing2423
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20092126
Minimum19930721
Maximum20200630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:34.799655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930721
5-th percentile20030580
Q120050504
median20081008
Q320130570
95-th percentile20190446
Maximum20200630
Range269909
Interquartile range (IQR)80066.5

Descriptive statistics

Standard deviation51328.419
Coefficient of variation (CV)0.0025546535
Kurtosis-0.6847383
Mean20092126
Median Absolute Deviation (MAD)39712
Skewness0.58535469
Sum3.5261681 × 1010
Variance2.6346066 × 109
MonotonicityNot monotonic
2023-12-11T03:15:35.088557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081118 69
 
1.7%
20081008 52
 
1.2%
20081006 38
 
0.9%
20040701 38
 
0.9%
20040907 21
 
0.5%
20091221 17
 
0.4%
20091216 11
 
0.3%
20091218 11
 
0.3%
20040630 10
 
0.2%
20040601 10
 
0.2%
Other values (1091) 1478
35.4%
(Missing) 2423
58.0%
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 (%)
20200630 1
 
< 0.1%
20200622 1
 
< 0.1%
20200615 1
 
< 0.1%
20200611 1
 
< 0.1%
20200609 3
0.1%
20200604 1
 
< 0.1%
20200529 1
 
< 0.1%
20200528 1
 
< 0.1%
20200525 1
 
< 0.1%
20200430 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4178
Missing (%)100.0%
Memory size36.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4178
Missing (%)100.0%
Memory size36.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4178
Missing (%)100.0%
Memory size36.8 KiB

소재지전화
Text

MISSING 

Distinct3275
Distinct (%)93.2%
Missing663
Missing (%)15.9%
Memory size32.8 KiB
2023-12-11T03:15:35.574155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8847795
Min length3

Characters and Unicode

Total characters34745
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

Unique3061 ?
Unique (%)87.1%

Sample

1st row593-3198
2nd row053-251-6019
3rd row0534288984
4th row0532502000
5th row0532579663
ValueCountFrequency (%)
053 512
 
10.0%
581 121
 
2.4%
582 78
 
1.5%
583 67
 
1.3%
354 36
 
0.7%
356 26
 
0.5%
562 25
 
0.5%
053615 23
 
0.4%
584 23
 
0.4%
567 23
 
0.4%
Other values (3238) 4180
81.7%
2023-12-11T03:15:36.258479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7191
20.7%
3 5221
15.0%
0 5070
14.6%
1 3157
9.1%
8 2583
 
7.4%
6 2475
 
7.1%
2 2094
 
6.0%
7 1676
 
4.8%
1611
 
4.6%
4 1595
 
4.6%
Other values (4) 2072
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32493
93.5%
Space Separator 1611
 
4.6%
Dash Punctuation 639
 
1.8%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7191
22.1%
3 5221
16.1%
0 5070
15.6%
1 3157
9.7%
8 2583
 
7.9%
6 2475
 
7.6%
2 2094
 
6.4%
7 1676
 
5.2%
4 1595
 
4.9%
9 1431
 
4.4%
Space Separator
ValueCountFrequency (%)
1611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34745
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7191
20.7%
3 5221
15.0%
0 5070
14.6%
1 3157
9.1%
8 2583
 
7.4%
6 2475
 
7.1%
2 2094
 
6.0%
7 1676
 
4.8%
1611
 
4.6%
4 1595
 
4.6%
Other values (4) 2072
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7191
20.7%
3 5221
15.0%
0 5070
14.6%
1 3157
9.1%
8 2583
 
7.4%
6 2475
 
7.1%
2 2094
 
6.0%
7 1676
 
4.8%
1611
 
4.6%
4 1595
 
4.6%
Other values (4) 2072
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4178
Missing (%)100.0%
Memory size36.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)12.5%
Missing3255
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean693026.93
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:36.536517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation92053.558
Coefficient of variation (CV)0.13282826
Kurtosis52.902896
Mean693026.93
Median Absolute Deviation (MAD)500
Skewness-7.3984736
Sum6.3966386 × 108
Variance8.4738575 × 109
MonotonicityNot monotonic
2023-12-11T03:15:36.808562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704190 63
 
1.5%
703830 58
 
1.4%
704900 55
 
1.3%
711855 39
 
0.9%
704330 39
 
0.9%
704801 37
 
0.9%
704400 36
 
0.9%
704170 35
 
0.8%
703833 34
 
0.8%
704200 32
 
0.8%
Other values (105) 495
 
11.8%
(Missing) 3255
77.9%
ValueCountFrequency (%)
4 1
 
< 0.1%
8 1
 
< 0.1%
704 14
0.3%
700761 1
 
< 0.1%
701040 1
 
< 0.1%
701050 2
 
< 0.1%
701140 1
 
< 0.1%
701180 1
 
< 0.1%
701190 1
 
< 0.1%
701230 6
0.1%
ValueCountFrequency (%)
711891 7
0.2%
711890 2
 
< 0.1%
711882 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711871 4
0.1%
711863 2
 
< 0.1%
711860 1
 
< 0.1%
711858 3
0.1%
711857 3
0.1%

소재지전체주소
Text

MISSING 

Distinct3017
Distinct (%)75.1%
Missing159
Missing (%)3.8%
Memory size32.8 KiB
2023-12-11T03:15:37.472260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length22.646181
Min length13

Characters and Unicode

Total characters91015
Distinct characters207
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

Unique2332 ?
Unique (%)58.0%

Sample

1st row대구광역시 중구 수창동 47-1번지
2nd row대구광역시 중구 남일동 138-3번지 국민은행대구지점
3rd row대구광역시 중구 대봉동 111-1번지
4th row대구광역시 중구 덕산동 53-3번지 동아쇼핑센터
5th row대구광역시 중구 동산동 234번지 대구제일교회교육관
ValueCountFrequency (%)
대구광역시 4019
23.5%
달서구 1461
 
8.5%
서구 1031
 
6.0%
달성군 842
 
4.9%
북구 441
 
2.6%
이현동 369
 
2.2%
갈산동 369
 
2.2%
비산동 348
 
2.0%
논공읍 333
 
1.9%
중리동 264
 
1.5%
Other values (3063) 7631
44.6%
2023-12-11T03:15:38.334032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17123
18.8%
7350
 
8.1%
4301
 
4.7%
4021
 
4.4%
4020
 
4.4%
4020
 
4.4%
3992
 
4.4%
3786
 
4.2%
1 3452
 
3.8%
3451
 
3.8%
Other values (197) 35499
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52840
58.1%
Decimal Number 17522
 
19.3%
Space Separator 17123
 
18.8%
Dash Punctuation 3098
 
3.4%
Uppercase Letter 156
 
0.2%
Close Punctuation 123
 
0.1%
Open Punctuation 106
 
0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7350
13.9%
4301
 
8.1%
4021
 
7.6%
4020
 
7.6%
4020
 
7.6%
3992
 
7.6%
3786
 
7.2%
3451
 
6.5%
2530
 
4.8%
2306
 
4.4%
Other values (176) 13063
24.7%
Decimal Number
ValueCountFrequency (%)
1 3452
19.7%
2 2352
13.4%
0 2006
11.4%
3 1997
11.4%
4 1597
9.1%
5 1324
 
7.6%
6 1286
 
7.3%
9 1240
 
7.1%
7 1213
 
6.9%
8 1055
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 82
52.6%
L 69
44.2%
A 4
 
2.6%
C 1
 
0.6%
Space Separator
ValueCountFrequency (%)
17123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3098
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52841
58.1%
Common 38014
41.8%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7350
13.9%
4301
 
8.1%
4021
 
7.6%
4020
 
7.6%
4020
 
7.6%
3992
 
7.6%
3786
 
7.2%
3451
 
6.5%
2530
 
4.8%
2306
 
4.4%
Other values (177) 13064
24.7%
Common
ValueCountFrequency (%)
17123
45.0%
1 3452
 
9.1%
- 3098
 
8.1%
2 2352
 
6.2%
0 2006
 
5.3%
3 1997
 
5.3%
4 1597
 
4.2%
5 1324
 
3.5%
6 1286
 
3.4%
9 1240
 
3.3%
Other values (5) 2539
 
6.7%
Latin
ValueCountFrequency (%)
B 82
51.2%
L 69
43.1%
b 4
 
2.5%
A 4
 
2.5%
C 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52840
58.1%
ASCII 38174
41.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17123
44.9%
1 3452
 
9.0%
- 3098
 
8.1%
2 2352
 
6.2%
0 2006
 
5.3%
3 1997
 
5.2%
4 1597
 
4.2%
5 1324
 
3.5%
6 1286
 
3.4%
9 1240
 
3.2%
Other values (10) 2699
 
7.1%
Hangul
ValueCountFrequency (%)
7350
13.9%
4301
 
8.1%
4021
 
7.6%
4020
 
7.6%
4020
 
7.6%
3992
 
7.6%
3786
 
7.2%
3451
 
6.5%
2530
 
4.8%
2306
 
4.4%
Other values (176) 13063
24.7%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct2716
Distinct (%)86.9%
Missing1053
Missing (%)25.2%
Memory size32.8 KiB
2023-12-11T03:15:38.862721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.54752
Min length19

Characters and Unicode

Total characters79836
Distinct characters283
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2392 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)
4th row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
5th row대구광역시 중구 경상감영길 80 (포정동, 대구우체국)
ValueCountFrequency (%)
대구광역시 3125
 
19.7%
달서구 1008
 
6.4%
서구 819
 
5.2%
달성군 621
 
3.9%
북구 431
 
2.7%
논공읍 309
 
1.9%
이현동 277
 
1.7%
비산동 272
 
1.7%
갈산동 242
 
1.5%
노원동3가 240
 
1.5%
Other values (1581) 8507
53.7%
2023-12-11T03:15:39.592656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13459
 
16.9%
5902
 
7.4%
3650
 
4.6%
3136
 
3.9%
3130
 
3.9%
3128
 
3.9%
3040
 
3.8%
2943
 
3.7%
2911
 
3.6%
) 2599
 
3.3%
Other values (273) 35938
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48563
60.8%
Space Separator 13459
 
16.9%
Decimal Number 11926
 
14.9%
Close Punctuation 2599
 
3.3%
Open Punctuation 2599
 
3.3%
Dash Punctuation 515
 
0.6%
Other Punctuation 147
 
0.2%
Uppercase Letter 27
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5902
 
12.2%
3650
 
7.5%
3136
 
6.5%
3130
 
6.4%
3128
 
6.4%
3040
 
6.3%
2943
 
6.1%
2911
 
6.0%
2052
 
4.2%
2038
 
4.2%
Other values (248) 16633
34.3%
Decimal Number
ValueCountFrequency (%)
1 2230
18.7%
3 1702
14.3%
2 1672
14.0%
5 1093
9.2%
4 1063
8.9%
6 998
8.4%
7 904
7.6%
9 808
 
6.8%
8 733
 
6.1%
0 723
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
E 1
 
3.7%
S 1
 
3.7%
C 1
 
3.7%
T 1
 
3.7%
Space Separator
ValueCountFrequency (%)
13459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 515
100.0%
Other Punctuation
ValueCountFrequency (%)
, 147
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48564
60.8%
Common 31245
39.1%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5902
 
12.2%
3650
 
7.5%
3136
 
6.5%
3130
 
6.4%
3128
 
6.4%
3040
 
6.3%
2943
 
6.1%
2911
 
6.0%
2052
 
4.2%
2038
 
4.2%
Other values (249) 16634
34.3%
Common
ValueCountFrequency (%)
13459
43.1%
) 2599
 
8.3%
( 2599
 
8.3%
1 2230
 
7.1%
3 1702
 
5.4%
2 1672
 
5.4%
5 1093
 
3.5%
4 1063
 
3.4%
6 998
 
3.2%
7 904
 
2.9%
Other values (5) 2926
 
9.4%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 7
25.9%
L 3
 
11.1%
K 2
 
7.4%
G 1
 
3.7%
E 1
 
3.7%
S 1
 
3.7%
C 1
 
3.7%
T 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48563
60.8%
ASCII 31272
39.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13459
43.0%
) 2599
 
8.3%
( 2599
 
8.3%
1 2230
 
7.1%
3 1702
 
5.4%
2 1672
 
5.3%
5 1093
 
3.5%
4 1063
 
3.4%
6 998
 
3.2%
7 904
 
2.9%
Other values (14) 2953
 
9.4%
Hangul
ValueCountFrequency (%)
5902
 
12.2%
3650
 
7.5%
3136
 
6.5%
3130
 
6.4%
3128
 
6.4%
3040
 
6.3%
2943
 
6.1%
2911
 
6.0%
2052
 
4.2%
2038
 
4.2%
Other values (248) 16633
34.3%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)18.9%
Missing2572
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean446993.02
Minimum41007
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:39.829338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation323576
Coefficient of variation (CV)0.72389497
Kurtosis-1.7974865
Mean446993.02
Median Absolute Deviation (MAD)8980
Skewness-0.45220099
Sum7.1787079 × 108
Variance1.0470142 × 1011
MonotonicityNot monotonic
2023-12-11T03:15:40.072763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 89
 
2.1%
704801 78
 
1.9%
702815 50
 
1.2%
711855 45
 
1.1%
704833 44
 
1.1%
704190 42
 
1.0%
703830 39
 
0.9%
703825 37
 
0.9%
702872 33
 
0.8%
704920 29
 
0.7%
Other values (294) 1120
26.8%
(Missing) 2572
61.6%
ValueCountFrequency (%)
41007 1
 
< 0.1%
41052 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 10
0.2%
41079 4
 
0.1%
41081 4
 
0.1%
41082 1
 
< 0.1%
41097 1
 
< 0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 2
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 19
0.5%
711857 16
0.4%
Distinct3558
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2023-12-11T03:15:40.409424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.17281
Min length2

Characters and Unicode

Total characters29968
Distinct characters565
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3066 ?
Unique (%)73.4%

Sample

1st row(주)대구에치티개발
2nd row신일모터스
3rd row(주)국민은행 대구지점
4th row이지스티디에이치제32호사모부동사투자유한회사
5th row대구우체국
ValueCountFrequency (%)
주식회사 48
 
1.1%
대구공장 24
 
0.5%
제2공장 20
 
0.4%
2공장 13
 
0.3%
10
 
0.2%
성서공장 10
 
0.2%
대구지점 8
 
0.2%
비산공장 7
 
0.2%
태성산업 7
 
0.2%
대구사업소 6
 
0.1%
Other values (3657) 4392
96.6%
2023-12-11T03:15:40.978242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1950
 
6.5%
) 1928
 
6.4%
1854
 
6.2%
971
 
3.2%
821
 
2.7%
782
 
2.6%
739
 
2.5%
631
 
2.1%
484
 
1.6%
463
 
1.5%
Other values (555) 19345
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24749
82.6%
Open Punctuation 1951
 
6.5%
Close Punctuation 1929
 
6.4%
Uppercase Letter 369
 
1.2%
Space Separator 367
 
1.2%
Other Punctuation 216
 
0.7%
Other Symbol 201
 
0.7%
Decimal Number 166
 
0.6%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1854
 
7.5%
971
 
3.9%
821
 
3.3%
782
 
3.2%
739
 
3.0%
631
 
2.5%
484
 
2.0%
463
 
1.9%
460
 
1.9%
459
 
1.9%
Other values (498) 17085
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 43
 
11.7%
C 33
 
8.9%
T 30
 
8.1%
E 26
 
7.0%
M 21
 
5.7%
K 20
 
5.4%
O 20
 
5.4%
D 20
 
5.4%
P 20
 
5.4%
G 17
 
4.6%
Other values (15) 119
32.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
a 1
 
7.1%
r 1
 
7.1%
m 1
 
7.1%
t 1
 
7.1%
o 1
 
7.1%
n 1
 
7.1%
c 1
 
7.1%
g 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 75
45.2%
1 58
34.9%
3 17
 
10.2%
8 6
 
3.6%
5 4
 
2.4%
6 3
 
1.8%
4 2
 
1.2%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 103
47.7%
, 85
39.4%
& 16
 
7.4%
/ 7
 
3.2%
* 3
 
1.4%
2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1950
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1928
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
367
100.0%
Other Symbol
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24950
83.3%
Common 4635
 
15.5%
Latin 383
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1854
 
7.4%
971
 
3.9%
821
 
3.3%
782
 
3.1%
739
 
3.0%
631
 
2.5%
484
 
1.9%
463
 
1.9%
460
 
1.8%
459
 
1.8%
Other values (499) 17286
69.3%
Latin
ValueCountFrequency (%)
S 43
 
11.2%
C 33
 
8.6%
T 30
 
7.8%
E 26
 
6.8%
M 21
 
5.5%
K 20
 
5.2%
O 20
 
5.2%
D 20
 
5.2%
P 20
 
5.2%
G 17
 
4.4%
Other values (25) 133
34.7%
Common
ValueCountFrequency (%)
( 1950
42.1%
) 1928
41.6%
367
 
7.9%
. 103
 
2.2%
, 85
 
1.8%
2 75
 
1.6%
1 58
 
1.3%
3 17
 
0.4%
& 16
 
0.3%
/ 7
 
0.2%
Other values (11) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24749
82.6%
ASCII 5016
 
16.7%
None 203
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1950
38.9%
) 1928
38.4%
367
 
7.3%
. 103
 
2.1%
, 85
 
1.7%
2 75
 
1.5%
1 58
 
1.2%
S 43
 
0.9%
C 33
 
0.7%
T 30
 
0.6%
Other values (45) 344
 
6.9%
Hangul
ValueCountFrequency (%)
1854
 
7.5%
971
 
3.9%
821
 
3.3%
782
 
3.2%
739
 
3.0%
631
 
2.5%
484
 
2.0%
463
 
1.9%
460
 
1.9%
459
 
1.9%
Other values (498) 17085
69.0%
None
ValueCountFrequency (%)
201
99.0%
2
 
1.0%

최종수정시점
Real number (ℝ)

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0133179 × 1013
Minimum2.0001018 × 1013
Maximum2.020063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:41.233023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0001018 × 1013
5-th percentile2.0040625 × 1013
Q12.0090716 × 1013
median2.0150403 × 1013
Q32.0181121 × 1013
95-th percentile2.0200324 × 1013
Maximum2.020063 × 1013
Range1.9961202 × 1011
Interquartile range (IQR)9.0405001 × 1010

Descriptive statistics

Standard deviation5.3345787 × 1010
Coefficient of variation (CV)0.0026496455
Kurtosis-1.0765233
Mean2.0133179 × 1013
Median Absolute Deviation (MAD)3.9912489 × 1010
Skewness-0.43786228
Sum8.4116422 × 1016
Variance2.845773 × 1021
MonotonicityNot monotonic
2023-12-11T03:15:41.517388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20160129101818 1
 
< 0.1%
20050627165106 1
 
< 0.1%
20081008115306 1
 
< 0.1%
20081118112002 1
 
< 0.1%
20041227151636 1
 
< 0.1%
20071113113232 1
 
< 0.1%
20081118112312 1
 
< 0.1%
20070504134354 1
 
< 0.1%
20070125164720 1
 
< 0.1%
Other values (4167) 4167
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 (%)
20200630180512 1
< 0.1%
20200630155419 1
< 0.1%
20200630145118 1
< 0.1%
20200629150845 1
< 0.1%
20200629111907 1
< 0.1%
20200629102533 1
< 0.1%
20200629093831 1
< 0.1%
20200626151058 1
< 0.1%
20200626132518 1
< 0.1%
20200626114903 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
I
3190 
U
988 

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 3190
76.4%
U 988
 
23.6%

Length

2023-12-11T03:15:41.766470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:41.934583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3190
76.4%
u 988
 
23.6%
Distinct443
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
Minimum2018-09-01 23:59:59
Maximum2020-07-02 02:40:00
2023-12-11T03:15:42.126271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:15:42.358913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct403
Distinct (%)14.5%
Missing1399
Missing (%)33.5%
Memory size32.8 KiB
2023-12-11T03:15:42.928724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.300828
Min length2

Characters and Unicode

Total characters31405
Distinct characters292
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 (%)6.6%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1395
 
16.1%
기타 870
 
10.0%
776
 
8.9%
자동차 322
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 263
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 202
 
2.3%
Other values (545) 3772
43.5%
2023-12-11T03:15:43.693613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5899
18.8%
2832
 
9.0%
2443
 
7.8%
1784
 
5.7%
1233
 
3.9%
1067
 
3.4%
942
 
3.0%
843
 
2.7%
786
 
2.5%
672
 
2.1%
Other values (282) 12904
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25352
80.7%
Space Separator 5899
 
18.8%
Other Punctuation 131
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
Other Punctuation
ValueCountFrequency (%)
, 120
91.6%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5899
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25352
80.7%
Common 6053
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
Common
ValueCountFrequency (%)
5899
97.5%
, 120
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25352
80.7%
ASCII 6047
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5899
97.6%
, 120
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2515
Distinct (%)77.7%
Missing941
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean337775.61
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:43.895988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328268.98
Q1335020.72
median337678.73
Q3339948.86
95-th percentile348282.61
Maximum357474.36
Range32647.303
Interquartile range (IQR)4928.1467

Descriptive statistics

Standard deviation5711.5801
Coefficient of variation (CV)0.016909391
Kurtosis1.757452
Mean337775.61
Median Absolute Deviation (MAD)2520.7148
Skewness0.80108842
Sum1.0933797 × 109
Variance32622147
MonotonicityNot monotonic
2023-12-11T03:15:44.082654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.3%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
338653.414866 7
 
0.2%
336559.670287 7
 
0.2%
335898.647221 7
 
0.2%
339163.824109 7
 
0.2%
339267.316441 6
 
0.1%
339372.436369 6
 
0.1%
337148.956227 6
 
0.1%
Other values (2505) 3164
75.7%
(Missing) 941
 
22.5%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
325886.496212 1
< 0.1%
325928.444036 1
< 0.1%
325935.356421 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 1
 
< 0.1%
355715.873404 2
< 0.1%
355708.657238 1
 
< 0.1%
355569.867912 1
 
< 0.1%
355558.233247 3
0.1%
355557.42313 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2513
Distinct (%)77.6%
Missing941
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean261089.62
Minimum236283.75
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:44.677166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236283.75
5-th percentile248160.22
Q1259892.84
median262851.66
Q3265698.27
95-th percentile267898.69
Maximum278091.65
Range41807.907
Interquartile range (IQR)5805.4355

Descriptive statistics

Standard deviation6927.9125
Coefficient of variation (CV)0.026534615
Kurtosis2.5089656
Mean261089.62
Median Absolute Deviation (MAD)2911.0073
Skewness-1.6575319
Sum8.4514711 × 108
Variance47995972
MonotonicityNot monotonic
2023-12-11T03:15:44.909075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.3%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
261730.820003 7
 
0.2%
265188.870359 7
 
0.2%
258962.00812 7
 
0.2%
263466.441258 7
 
0.2%
263796.947456 6
 
0.1%
260602.149585 6
 
0.1%
263299.390649 6
 
0.1%
Other values (2503) 3164
75.7%
(Missing) 941
 
22.5%
ValueCountFrequency (%)
236283.746887 1
< 0.1%
237677.093671 1
< 0.1%
237682.121457 1
< 0.1%
237686.085459 1
< 0.1%
237690.289797 1
< 0.1%
237692.765575 1
< 0.1%
237817.514628 1
< 0.1%
237831.890224 1
< 0.1%
237833.64806 1
< 0.1%
237835.998538 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274498.743064 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
272735.67566 1
< 0.1%
272669.414848 1
< 0.1%
271973.249974 1
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
대기배출업소관리
4178 

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 4178
100.0%

Length

2023-12-11T03:15:45.100126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:45.228841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 4178
100.0%

업종구분명
Text

MISSING 

Distinct403
Distinct (%)14.5%
Missing1399
Missing (%)33.5%
Memory size32.8 KiB
2023-12-11T03:15:45.661410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.300828
Min length2

Characters and Unicode

Total characters31405
Distinct characters292
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 (%)6.6%

Sample

1st row부동산 임대업
2nd row우편 및 소포 송달업
3rd row백화점
4th row주거용 부동산 관리업
5th row병원
ValueCountFrequency (%)
제조업 1395
 
16.1%
기타 870
 
10.0%
776
 
8.9%
자동차 322
 
3.7%
가공업 302
 
3.5%
염색 284
 
3.3%
수리업 263
 
3.0%
섬유 261
 
3.0%
조립금속제품 229
 
2.6%
그외 202
 
2.3%
Other values (545) 3772
43.5%
2023-12-11T03:15:46.370481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5899
18.8%
2832
 
9.0%
2443
 
7.8%
1784
 
5.7%
1233
 
3.9%
1067
 
3.4%
942
 
3.0%
843
 
2.7%
786
 
2.5%
672
 
2.1%
Other values (282) 12904
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25352
80.7%
Space Separator 5899
 
18.8%
Other Punctuation 131
 
0.4%
Decimal Number 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
Other Punctuation
ValueCountFrequency (%)
, 120
91.6%
· 6
 
4.6%
; 5
 
3.8%
Space Separator
ValueCountFrequency (%)
5899
100.0%
Decimal Number
ValueCountFrequency (%)
1 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25352
80.7%
Common 6053
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
Common
ValueCountFrequency (%)
5899
97.5%
, 120
 
2.0%
1 23
 
0.4%
· 6
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25352
80.7%
ASCII 6047
 
19.3%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5899
97.6%
, 120
 
2.0%
1 23
 
0.4%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
2832
 
11.2%
2443
 
9.6%
1784
 
7.0%
1233
 
4.9%
1067
 
4.2%
942
 
3.7%
843
 
3.3%
786
 
3.1%
672
 
2.7%
582
 
2.3%
Other values (277) 12168
48.0%
None
ValueCountFrequency (%)
· 6
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
5종
2194 
4종
1364 
3종
 
206
<NA>
 
187
2종
 
185

Length

Max length4
Median length2
Mean length2.0895165
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2194
52.5%
4종 1364
32.6%
3종 206
 
4.9%
<NA> 187
 
4.5%
2종 185
 
4.4%
1종 42
 
1.0%

Length

2023-12-11T03:15:46.609304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:46.760373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2194
52.5%
4종 1364
32.6%
3종 206
 
4.9%
na 187
 
4.5%
2종 185
 
4.4%
1종 42
 
1.0%

주생산품명
Text

MISSING 

Distinct862
Distinct (%)62.5%
Missing2799
Missing (%)67.0%
Memory size32.8 KiB
2023-12-11T03:15:47.218393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length5.9398115
Min length1

Characters and Unicode

Total characters8191
Distinct characters454
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

Unique695 ?
Unique (%)50.4%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 175
 
9.9%
자동차 43
 
2.4%
36
 
2.0%
안경테 29
 
1.6%
27
 
1.5%
부품 25
 
1.4%
가공원단 20
 
1.1%
전자부품 19
 
1.1%
고무시트 19
 
1.1%
자동차정비 17
 
1.0%
Other values (890) 1365
76.9%
2023-12-11T03:15:47.911896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
 
6.1%
410
 
5.0%
396
 
4.8%
392
 
4.8%
351
 
4.3%
345
 
4.2%
159
 
1.9%
159
 
1.9%
135
 
1.6%
, 128
 
1.6%
Other values (444) 5215
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7170
87.5%
Space Separator 396
 
4.8%
Uppercase Letter 242
 
3.0%
Other Punctuation 142
 
1.7%
Lowercase Letter 79
 
1.0%
Open Punctuation 65
 
0.8%
Close Punctuation 65
 
0.8%
Decimal Number 25
 
0.3%
Dash Punctuation 6
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
501
 
7.0%
410
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
135
 
1.9%
126
 
1.8%
112
 
1.6%
Other values (383) 4480
62.5%
Uppercase Letter
ValueCountFrequency (%)
P 44
18.2%
E 38
15.7%
C 20
8.3%
L 18
7.4%
D 17
 
7.0%
T 16
 
6.6%
I 15
 
6.2%
O 14
 
5.8%
R 10
 
4.1%
S 8
 
3.3%
Other values (12) 42
17.4%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.4%
r 8
10.1%
e 8
10.1%
t 7
 
8.9%
i 7
 
8.9%
l 6
 
7.6%
f 5
 
6.3%
a 5
 
6.3%
u 3
 
3.8%
p 3
 
3.8%
Other values (11) 18
22.8%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
6 4
16.0%
8 3
12.0%
5 2
 
8.0%
2 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
4 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 128
90.1%
. 11
 
7.7%
/ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
396
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7170
87.5%
Common 700
 
8.5%
Latin 321
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
501
 
7.0%
410
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
135
 
1.9%
126
 
1.8%
112
 
1.6%
Other values (383) 4480
62.5%
Latin
ValueCountFrequency (%)
P 44
 
13.7%
E 38
 
11.8%
C 20
 
6.2%
L 18
 
5.6%
D 17
 
5.3%
T 16
 
5.0%
I 15
 
4.7%
O 14
 
4.4%
R 10
 
3.1%
o 9
 
2.8%
Other values (33) 120
37.4%
Common
ValueCountFrequency (%)
396
56.6%
, 128
 
18.3%
( 65
 
9.3%
) 65
 
9.3%
. 11
 
1.6%
1 6
 
0.9%
- 6
 
0.9%
0 5
 
0.7%
6 4
 
0.6%
8 3
 
0.4%
Other values (8) 11
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7170
87.5%
ASCII 1020
 
12.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
501
 
7.0%
410
 
5.7%
392
 
5.5%
351
 
4.9%
345
 
4.8%
159
 
2.2%
159
 
2.2%
135
 
1.9%
126
 
1.8%
112
 
1.6%
Other values (383) 4480
62.5%
ASCII
ValueCountFrequency (%)
396
38.8%
, 128
 
12.5%
( 65
 
6.4%
) 65
 
6.4%
P 44
 
4.3%
E 38
 
3.7%
C 20
 
2.0%
L 18
 
1.8%
D 17
 
1.7%
T 16
 
1.6%
Other values (50) 213
20.9%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.8%
Missing56
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.6474163
Minimum0
Maximum912
Zeros1376
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:48.138046image/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 deviation15.894915
Coefficient of variation (CV)2.0784687
Kurtosis2543.6727
Mean7.6474163
Median Absolute Deviation (MAD)4
Skewness44.807518
Sum31522.65
Variance252.64834
MonotonicityNot monotonic
2023-12-11T03:15:48.334423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8.0 1492
35.7%
0.0 1376
32.9%
24.0 434
 
10.4%
10.0 225
 
5.4%
6.0 83
 
2.0%
12.0 70
 
1.7%
20.0 59
 
1.4%
5.0 58
 
1.4%
7.0 53
 
1.3%
4.0 51
 
1.2%
Other values (23) 221
 
5.3%
(Missing) 56
 
1.3%
ValueCountFrequency (%)
0.0 1376
32.9%
1.0 12
 
0.3%
1.5 1
 
< 0.1%
2.0 13
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.5%
3.5 1
 
< 0.1%
4.0 51
 
1.2%
5.0 58
 
1.4%
6.0 83
 
2.0%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 2
 
< 0.1%
24.0 434
10.4%
22.0 13
 
0.3%
21.0 8
 
0.2%
20.0 59
 
1.4%
19.0 3
 
0.1%
18.0 7
 
0.2%
17.0 2
 
< 0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)2.2%
Missing59
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean194.58606
Minimum0
Maximum365
Zeros1390
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:48.503349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation142.20699
Coefficient of variation (CV)0.73081795
Kurtosis-1.5797436
Mean194.58606
Median Absolute Deviation (MAD)0
Skewness-0.58797271
Sum801500
Variance20222.828
MonotonicityNot monotonic
2023-12-11T03:15:48.725666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2137
51.1%
0 1390
33.3%
240 61
 
1.5%
365 53
 
1.3%
312 40
 
1.0%
264 32
 
0.8%
360 30
 
0.7%
250 27
 
0.6%
180 24
 
0.6%
280 23
 
0.6%
Other values (81) 302
 
7.2%
(Missing) 59
 
1.4%
ValueCountFrequency (%)
0 1390
33.3%
8 1
 
< 0.1%
24 3
 
0.1%
25 2
 
< 0.1%
30 3
 
0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 53
1.3%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 30
0.7%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
340 14
 
0.3%
338 1
 
< 0.1%
336 13
 
0.3%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.9%
Missing418
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean7.2525665
Minimum0
Maximum360
Zeros1375
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:48.931697image/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 deviation10.811471
Coefficient of variation (CV)1.4907097
Kurtosis418.79482
Mean7.2525665
Median Absolute Deviation (MAD)7
Skewness15.037567
Sum27269.65
Variance116.88792
MonotonicityNot monotonic
2023-12-11T03:15:49.131943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 1375
32.9%
8.0 1345
32.2%
24.0 366
 
8.8%
10.0 185
 
4.4%
6.0 66
 
1.6%
12.0 56
 
1.3%
5.0 55
 
1.3%
7.0 50
 
1.2%
20.0 47
 
1.1%
16.0 41
 
1.0%
Other values (22) 174
 
4.2%
(Missing) 418
 
10.0%
ValueCountFrequency (%)
0.0 1375
32.9%
1.0 10
 
0.2%
2.0 10
 
0.2%
3.0 13
 
0.3%
4.0 39
 
0.9%
5.0 55
 
1.3%
6.0 66
 
1.6%
7.0 50
 
1.2%
7.5 2
 
< 0.1%
8.0 1345
32.2%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
264.0 1
 
< 0.1%
210.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 3
 
0.1%
25.0 3
 
0.1%
24.0 366
8.8%
22.0 10
 
0.2%
21.0 8
 
0.2%
20.0 47
 
1.1%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)2.1%
Missing405
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean187.29208
Minimum0
Maximum365
Zeros1382
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-11T03:15:49.347623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation144.69637
Coefficient of variation (CV)0.77257068
Kurtosis-1.7090678
Mean187.29208
Median Absolute Deviation (MAD)0
Skewness-0.48857856
Sum706653
Variance20937.038
MonotonicityNot monotonic
2023-12-11T03:15:49.561317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 1929
46.2%
0 1382
33.1%
240 48
 
1.1%
312 40
 
1.0%
365 31
 
0.7%
360 25
 
0.6%
250 24
 
0.6%
264 23
 
0.6%
280 22
 
0.5%
330 18
 
0.4%
Other values (69) 231
 
5.5%
(Missing) 405
 
9.7%
ValueCountFrequency (%)
0 1382
33.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
52 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
ValueCountFrequency (%)
365 31
0.7%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 25
0.6%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 13
0.3%
340 12
 
0.3%
338 1
 
< 0.1%
336 11
 
0.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001420151209<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로 160 (북성로1가, 대우빌딩)41910(주)대구에치티개발20190923085351U2019-09-25 02:40:00.0<NA>343991.737064265000.0215대기배출업소관리<NA>5종<NA>4.0150<NA><NA>
12대기오염물질배출시설설치사업장09_30_08_P341000034100002120140000120140626<NA>4취소/말소/만료/정지/중지4폐쇄20191205<NA><NA><NA>593-3198<NA><NA>대구광역시 중구 수창동 47-1번지대구광역시 중구 달성로26길 86 (수창동)700850신일모터스20191205182833U2019-12-07 02:40:00.0<NA>343222.95548265036.439644대기배출업소관리<NA>5종<NA>8.0300<NA>300
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3번지 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20190923192853U2019-09-25 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>6.0180<NA><NA>
34대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20190923085954U2019-09-25 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>6.0240<NA><NA>
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001820151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532502000<NA><NA><NA>대구광역시 중구 경상감영길 80 (포정동, 대구우체국)41918대구우체국20191122171754U2019-11-26 02:40:00.0우편 및 소포 송달업343687.68301264634.313879대기배출업소관리우편 및 소포 송달업5종<NA>4.0100<NA><NA>
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20190923090146U2019-09-25 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>3.0150<NA><NA>
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
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41694170대기오염물질배출시설설치사업장09_30_08_P348000034800002120080000920080404<NA>1영업/정상11영업<NA><NA><NA><NA>0536119350<NA><NA>대구광역시 달성군 구지면 내리 847-10번지대구광역시 달성군 구지면 달성2차4로 59<NA>텍산(주)20191017203730U2019-10-19 02:40:00.0금속 열처리업328742.127143238572.966182대기배출업소관리금속 열처리업5종무한궤도24.030024.0300
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