Overview

Dataset statistics

Number of variables37
Number of observations5100
Missing cells47969
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory318.0 B

Variable types

Numeric15
Categorical9
Unsupported5
Text7
DateTime1

Dataset

Description22년12월_6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097475&dataSetDetailId=DDI_0000097510&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가취소일자 has 5100 (100.0%) missing valuesMissing
폐업일자 has 2602 (51.0%) missing valuesMissing
휴업시작일자 has 5100 (100.0%) missing valuesMissing
휴업종료일자 has 5100 (100.0%) missing valuesMissing
재개업일자 has 5100 (100.0%) missing valuesMissing
소재지전화 has 626 (12.3%) missing valuesMissing
소재지면적 has 5100 (100.0%) missing valuesMissing
소재지우편번호 has 3912 (76.7%) missing valuesMissing
소재지전체주소 has 117 (2.3%) missing valuesMissing
도로명전체주소 has 1200 (23.5%) missing valuesMissing
도로명우편번호 has 3155 (61.9%) missing valuesMissing
업태구분명 has 1682 (33.0%) missing valuesMissing
좌표정보(X) has 1110 (21.8%) missing valuesMissing
좌표정보(Y) has 1110 (21.8%) missing valuesMissing
업종구분명 has 1682 (33.0%) missing valuesMissing
주생산품명 has 3592 (70.4%) missing valuesMissing
배출시설조업시간 has 65 (1.3%) missing valuesMissing
방지시설조업시간 has 452 (8.9%) missing valuesMissing
사업자등록번호 has 1164 (22.8%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -48.29291615)Skewed
배출시설조업시간 is highly skewed (γ1 = 44.43357123)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 1523 (29.9%) zerosZeros
배출시설연간가동일수 has 1608 (31.5%) zerosZeros
방지시설조업시간 has 1550 (30.4%) zerosZeros
방지시설연간가동일수 has 1973 (38.7%) zerosZeros

Reproduction

Analysis started2024-04-21 21:43:35.295832
Analysis finished2024-04-21 21:43:37.798939
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2550.5
Minimum1
Maximum5100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:37.995565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile255.95
Q11275.75
median2550.5
Q33825.25
95-th percentile4845.05
Maximum5100
Range5099
Interquartile range (IQR)2549.5

Descriptive statistics

Standard deviation1472.3875
Coefficient of variation (CV)0.57729367
Kurtosis-1.2
Mean2550.5
Median Absolute Deviation (MAD)1275
Skewness0
Sum13007550
Variance2167925
MonotonicityStrictly increasing
2024-04-22T06:43:38.436677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3399 1
 
< 0.1%
3406 1
 
< 0.1%
3405 1
 
< 0.1%
3404 1
 
< 0.1%
3403 1
 
< 0.1%
3402 1
 
< 0.1%
3401 1
 
< 0.1%
3400 1
 
< 0.1%
3398 1
 
< 0.1%
Other values (5090) 5090
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 (%)
5100 1
< 0.1%
5099 1
< 0.1%
5098 1
< 0.1%
5097 1
< 0.1%
5096 1
< 0.1%
5095 1
< 0.1%
5094 1
< 0.1%
5093 1
< 0.1%
5092 1
< 0.1%
5091 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
대기오염물질배출시설설치사업장
5100 

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 5100
100.0%

Length

2024-04-22T06:43:38.843998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:39.138877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5100
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
09_30_08_P
5100 

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 5100
100.0%

Length

2024-04-22T06:43:39.447579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:39.744920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5100
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455209.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:40.012006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation19037.826
Coefficient of variation (CV)0.00550989
Kurtosis-1.1353442
Mean3455209.8
Median Absolute Deviation (MAD)20000
Skewness-0.35867676
Sum1.762157 × 1010
Variance3.6243881 × 108
MonotonicityIncreasing
2024-04-22T06:43:40.388789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1590
31.2%
3450000 1327
26.0%
3430000 1087
21.3%
3480000 753
14.8%
3420000 174
 
3.4%
3460000 106
 
2.1%
3410000 43
 
0.8%
3440000 20
 
0.4%
ValueCountFrequency (%)
3410000 43
 
0.8%
3420000 174
 
3.4%
3430000 1087
21.3%
3440000 20
 
0.4%
3450000 1327
26.0%
3460000 106
 
2.1%
3470000 1590
31.2%
3480000 753
14.8%
ValueCountFrequency (%)
3480000 753
14.8%
3470000 1590
31.2%
3460000 106
 
2.1%
3450000 1327
26.0%
3440000 20
 
0.4%
3430000 1087
21.3%
3420000 174
 
3.4%
3410000 43
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.45521 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:40.802016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1017
5-th percentile3.4300002 × 1017
Q13.4300002 × 1017
median3.4500002 × 1017
Q33.4700002 × 1017
95-th percentile3.4800002 × 1017
Maximum3.4800002 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.9037826 × 1015
Coefficient of variation (CV)0.0055098896
Kurtosis-1.1353442
Mean3.45521 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.35867676
Sum-8.730323 × 1018
Variance3.6243881 × 1030
MonotonicityNot monotonic
2024-04-22T06:43:41.268982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202200002 1
 
< 0.1%
347000021198800016 1
 
< 0.1%
347000021199200006 1
 
< 0.1%
347000021199200005 1
 
< 0.1%
347000021199200004 1
 
< 0.1%
347000021199200002 1
 
< 0.1%
347000021199200001 1
 
< 0.1%
347000021199100023 1
 
< 0.1%
347000021199100021 1
 
< 0.1%
347000021198800015 1
 
< 0.1%
Other values (5090) 5090
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 (%)
348000021202200019 1
< 0.1%
348000021202200018 1
< 0.1%
348000021202200017 1
< 0.1%
348000021202200016 1
< 0.1%
348000021202200015 1
< 0.1%
348000021202200014 1
< 0.1%
348000021202200013 1
< 0.1%
348000021202200012 1
< 0.1%
348000021202200011 1
< 0.1%
348000021202200010 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3261
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20020355
Minimum19010101
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:41.714614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19840927
Q119970122
median20040621
Q320120322
95-th percentile20200217
Maximum20221230
Range1211129
Interquartile range (IQR)150199.5

Descriptive statistics

Standard deviation173048.96
Coefficient of variation (CV)0.0086436508
Kurtosis20.137676
Mean20020355
Median Absolute Deviation (MAD)79694
Skewness-3.8521121
Sum1.0210381 × 1011
Variance2.9945941 × 1010
MonotonicityNot monotonic
2024-04-22T06:43:42.180817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19010101 100
 
2.0%
20040701 76
 
1.5%
20040702 48
 
0.9%
19840210 41
 
0.8%
20040621 36
 
0.7%
20040628 25
 
0.5%
20040630 24
 
0.5%
20120322 23
 
0.5%
19940427 16
 
0.3%
20151231 13
 
0.3%
Other values (3251) 4698
92.1%
ValueCountFrequency (%)
19010101 100
2.0%
19240212 1
 
< 0.1%
19740905 1
 
< 0.1%
19760816 1
 
< 0.1%
19780108 1
 
< 0.1%
19780201 1
 
< 0.1%
19780807 1
 
< 0.1%
19780906 1
 
< 0.1%
19781004 1
 
< 0.1%
19781123 1
 
< 0.1%
ValueCountFrequency (%)
20221230 1
< 0.1%
20221223 1
< 0.1%
20221222 1
< 0.1%
20221220 1
< 0.1%
20221213 1
< 0.1%
20221202 1
< 0.1%
20221121 1
< 0.1%
20221110 1
< 0.1%
20221107 1
< 0.1%
20221104 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5100
Missing (%)100.0%
Memory size44.9 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
1
2051 
3
2040 
4
1009 

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 (%)
1 2051
40.2%
3 2040
40.0%
4 1009
19.8%

Length

2024-04-22T06:43:42.597711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:42.906307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2051
40.2%
3 2040
40.0%
4 1009
19.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
영업/정상
2051 
폐업
2040 
취소/말소/만료/정지/중지
1009 

Length

Max length14
Median length5
Mean length5.5805882
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 (%)
영업/정상 2051
40.2%
폐업 2040
40.0%
취소/말소/만료/정지/중지 1009
19.8%

Length

2024-04-22T06:43:43.263013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:43.583503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2051
40.2%
폐업 2040
40.0%
취소/말소/만료/정지/중지 1009
19.8%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
11
2051 
2
2040 
4
1009 

Length

Max length2
Median length1
Mean length1.4021569
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2051
40.2%
2 2040
40.0%
4 1009
19.8%

Length

2024-04-22T06:43:43.943710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:44.268810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2051
40.2%
2 2040
40.0%
4 1009
19.8%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
영업
2051 
폐업
2040 
폐쇄
1009 

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 (%)
영업 2051
40.2%
폐업 2040
40.0%
폐쇄 1009
19.8%

Length

2024-04-22T06:43:44.605745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:44.916412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2051
40.2%
폐업 2040
40.0%
폐쇄 1009
19.8%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1513
Distinct (%)60.6%
Missing2602
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean20092591
Minimum199705
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:45.277840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199705
5-th percentile20030129
Q120050241
median20081118
Q320160330
95-th percentile20210413
Maximum20221230
Range20021525
Interquartile range (IQR)110088.75

Descriptive statistics

Standard deviation402752.46
Coefficient of variation (CV)0.020044825
Kurtosis2386.2574
Mean20092591
Median Absolute Deviation (MAD)40509
Skewness-48.292916
Sum5.0191292 × 1010
Variance1.6220954 × 1011
MonotonicityNot monotonic
2024-04-22T06:43:45.745469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160418 114
 
2.2%
20040104 109
 
2.1%
20081008 52
 
1.0%
20081118 49
 
1.0%
20081006 39
 
0.8%
20040701 37
 
0.7%
20040907 21
 
0.4%
20091221 16
 
0.3%
20040706 11
 
0.2%
20091218 11
 
0.2%
Other values (1503) 2039
40.0%
(Missing) 2602
51.0%
ValueCountFrequency (%)
199705 1
< 0.1%
19920817 1
< 0.1%
19930721 1
< 0.1%
19940225 1
< 0.1%
19941231 1
< 0.1%
19950531 1
< 0.1%
19961129 1
< 0.1%
19970123 1
< 0.1%
19970206 1
< 0.1%
19970220 1
< 0.1%
ValueCountFrequency (%)
20221230 1
< 0.1%
20221228 1
< 0.1%
20221222 1
< 0.1%
20221214 2
< 0.1%
20221212 1
< 0.1%
20221115 1
< 0.1%
20221109 1
< 0.1%
20221025 1
< 0.1%
20221024 1
< 0.1%
20221005 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5100
Missing (%)100.0%
Memory size44.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5100
Missing (%)100.0%
Memory size44.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5100
Missing (%)100.0%
Memory size44.9 KiB

소재지전화
Text

MISSING 

Distinct4173
Distinct (%)93.3%
Missing626
Missing (%)12.3%
Memory size40.0 KiB
2024-04-22T06:43:46.744582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9454627
Min length3

Characters and Unicode

Total characters44496
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3899 ?
Unique (%)87.1%

Sample

1st row053-661-2000
2nd row593-3198
3rd row0534310803
4th row251-5137
5th row053-429-7004
ValueCountFrequency (%)
053 731
 
10.9%
581 120
 
1.8%
354 84
 
1.2%
353 83
 
1.2%
582 78
 
1.2%
357 76
 
1.1%
356 72
 
1.1%
358 71
 
1.1%
583 67
 
1.0%
351 61
 
0.9%
Other values (4061) 5292
78.6%
2024-04-22T06:43:48.152648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9024
20.3%
3 7137
16.0%
0 6257
14.1%
1 3748
8.4%
8 3133
 
7.0%
6 2988
 
6.7%
2 2647
 
5.9%
2291
 
5.1%
7 2253
 
5.1%
4 2123
 
4.8%
Other values (5) 2895
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41086
92.3%
Space Separator 2291
 
5.1%
Dash Punctuation 1116
 
2.5%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9024
22.0%
3 7137
17.4%
0 6257
15.2%
1 3748
9.1%
8 3133
 
7.6%
6 2988
 
7.3%
2 2647
 
6.4%
7 2253
 
5.5%
4 2123
 
5.2%
9 1776
 
4.3%
Space Separator
ValueCountFrequency (%)
2291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9024
20.3%
3 7137
16.0%
0 6257
14.1%
1 3748
8.4%
8 3133
 
7.0%
6 2988
 
6.7%
2 2647
 
5.9%
2291
 
5.1%
7 2253
 
5.1%
4 2123
 
4.8%
Other values (5) 2895
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9024
20.3%
3 7137
16.0%
0 6257
14.1%
1 3748
8.4%
8 3133
 
7.0%
6 2988
 
6.7%
2 2647
 
5.9%
2291
 
5.1%
7 2253
 
5.1%
4 2123
 
4.8%
Other values (5) 2895
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5100
Missing (%)100.0%
Memory size44.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)11.3%
Missing3912
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean694830.57
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:48.560831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile702012
Q1702083
median704070
Q3704801
95-th percentile711855
Maximum711891
Range711887
Interquartile range (IQR)2718

Descriptive statistics

Standard deviation81193.563
Coefficient of variation (CV)0.11685376
Kurtosis69.394868
Mean694830.57
Median Absolute Deviation (MAD)951.5
Skewness-8.4374415
Sum8.2545872 × 108
Variance6.5923946 × 109
MonotonicityNot monotonic
2024-04-22T06:43:49.005512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702083 232
 
4.5%
704190 63
 
1.2%
702050 57
 
1.1%
704900 54
 
1.1%
703830 53
 
1.0%
711855 38
 
0.7%
704801 36
 
0.7%
704170 34
 
0.7%
703833 33
 
0.6%
704200 32
 
0.6%
Other values (124) 556
 
10.9%
(Missing) 3912
76.7%
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 4
 
0.1%
ValueCountFrequency (%)
711891 7
0.1%
711890 2
 
< 0.1%
711882 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711871 3
0.1%
711863 2
 
< 0.1%
711860 1
 
< 0.1%
711858 3
0.1%
711857 3
0.1%

소재지전체주소
Text

MISSING 

Distinct4021
Distinct (%)80.7%
Missing117
Missing (%)2.3%
Memory size40.0 KiB
2024-04-22T06:43:50.338292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length21.734698
Min length13

Characters and Unicode

Total characters108304
Distinct characters271
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

Unique3370 ?
Unique (%)67.6%

Sample

1st row대구광역시 중구 동인동2가 177-4 중구청
2nd row대구광역시 중구 수창동 47-1번지
3rd row대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원
4th row대구광역시 중구 동인동2가 74-15
5th row대구광역시 중구 남산동 3006 반월당효성해링턴플레이스
ValueCountFrequency (%)
대구광역시 4983
23.6%
달서구 1382
 
6.5%
북구 1323
 
6.3%
서구 1069
 
5.1%
달성군 908
 
4.3%
노원동3가 757
 
3.6%
이현동 380
 
1.8%
갈산동 369
 
1.7%
비산동 364
 
1.7%
논공읍 357
 
1.7%
Other values (4117) 9261
43.8%
2024-04-22T06:43:51.846725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21167
19.5%
9256
 
8.5%
5273
 
4.9%
4992
 
4.6%
4987
 
4.6%
4986
 
4.6%
4381
 
4.0%
1 4276
 
3.9%
- 3719
 
3.4%
2 2872
 
2.7%
Other values (261) 42395
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61162
56.5%
Decimal Number 21799
 
20.1%
Space Separator 21167
 
19.5%
Dash Punctuation 3719
 
3.4%
Uppercase Letter 165
 
0.2%
Close Punctuation 128
 
0.1%
Open Punctuation 111
 
0.1%
Other Punctuation 48
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9256
15.1%
5273
 
8.6%
4992
 
8.2%
4987
 
8.2%
4986
 
8.2%
4381
 
7.2%
2750
 
4.5%
2503
 
4.1%
2497
 
4.1%
2297
 
3.8%
Other values (237) 17240
28.2%
Decimal Number
ValueCountFrequency (%)
1 4276
19.6%
2 2872
13.2%
3 2821
12.9%
0 2329
10.7%
4 1921
8.8%
5 1614
 
7.4%
6 1608
 
7.4%
7 1542
 
7.1%
9 1462
 
6.7%
8 1354
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 83
50.3%
L 70
42.4%
A 7
 
4.2%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%
Space Separator
ValueCountFrequency (%)
21167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61163
56.5%
Common 46972
43.4%
Latin 169
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9256
15.1%
5273
 
8.6%
4992
 
8.2%
4987
 
8.2%
4986
 
8.2%
4381
 
7.2%
2750
 
4.5%
2503
 
4.1%
2497
 
4.1%
2297
 
3.8%
Other values (238) 17241
28.2%
Common
ValueCountFrequency (%)
21167
45.1%
1 4276
 
9.1%
- 3719
 
7.9%
2 2872
 
6.1%
3 2821
 
6.0%
0 2329
 
5.0%
4 1921
 
4.1%
5 1614
 
3.4%
6 1608
 
3.4%
7 1542
 
3.3%
Other values (5) 3103
 
6.6%
Latin
ValueCountFrequency (%)
B 83
49.1%
L 70
41.4%
A 7
 
4.1%
b 4
 
2.4%
K 2
 
1.2%
C 1
 
0.6%
T 1
 
0.6%
S 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61162
56.5%
ASCII 47141
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21167
44.9%
1 4276
 
9.1%
- 3719
 
7.9%
2 2872
 
6.1%
3 2821
 
6.0%
0 2329
 
4.9%
4 1921
 
4.1%
5 1614
 
3.4%
6 1608
 
3.4%
7 1542
 
3.3%
Other values (13) 3272
 
6.9%
Hangul
ValueCountFrequency (%)
9256
15.1%
5273
 
8.6%
4992
 
8.2%
4987
 
8.2%
4986
 
8.2%
4381
 
7.2%
2750
 
4.5%
2503
 
4.1%
2497
 
4.1%
2297
 
3.8%
Other values (237) 17240
28.2%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3363
Distinct (%)86.2%
Missing1200
Missing (%)23.5%
Memory size40.0 KiB
2024-04-22T06:43:52.978073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.745897
Min length19

Characters and Unicode

Total characters100409
Distinct characters321
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

Unique2945 ?
Unique (%)75.5%

Sample

1st row대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)
2nd row대구광역시 중구 달성로26길 86 (수창동)
3rd row대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)
4th row대구광역시 중구 동덕로 167 (동인동2가)
5th row대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스)
ValueCountFrequency (%)
대구광역시 3900
 
19.7%
북구 1050
 
5.3%
달서구 1025
 
5.2%
서구 829
 
4.2%
달성군 688
 
3.5%
노원동3가 633
 
3.2%
논공읍 334
 
1.7%
이현동 279
 
1.4%
비산동 277
 
1.4%
갈산동 247
 
1.2%
Other values (1861) 10571
53.3%
2024-04-22T06:43:54.659678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16904
 
16.8%
7453
 
7.4%
4486
 
4.5%
3920
 
3.9%
3905
 
3.9%
3905
 
3.9%
3810
 
3.8%
3749
 
3.7%
( 3314
 
3.3%
) 3314
 
3.3%
Other values (311) 45649
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60620
60.4%
Space Separator 16904
 
16.8%
Decimal Number 15281
 
15.2%
Open Punctuation 3314
 
3.3%
Close Punctuation 3314
 
3.3%
Dash Punctuation 701
 
0.7%
Other Punctuation 231
 
0.2%
Uppercase Letter 43
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7453
 
12.3%
4486
 
7.4%
3920
 
6.5%
3905
 
6.4%
3905
 
6.4%
3810
 
6.3%
3749
 
6.2%
2983
 
4.9%
2577
 
4.3%
2267
 
3.7%
Other values (285) 21565
35.6%
Decimal Number
ValueCountFrequency (%)
1 2885
18.9%
3 2485
16.3%
2 2082
13.6%
4 1326
8.7%
5 1318
8.6%
6 1225
8.0%
7 1172
7.7%
9 1000
 
6.5%
8 900
 
5.9%
0 888
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
27.9%
A 10
23.3%
L 5
11.6%
K 5
11.6%
S 3
 
7.0%
M 2
 
4.7%
C 2
 
4.7%
T 2
 
4.7%
E 1
 
2.3%
G 1
 
2.3%
Space Separator
ValueCountFrequency (%)
16904
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 701
100.0%
Other Punctuation
ValueCountFrequency (%)
, 231
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60621
60.4%
Common 39745
39.6%
Latin 43
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7453
 
12.3%
4486
 
7.4%
3920
 
6.5%
3905
 
6.4%
3905
 
6.4%
3810
 
6.3%
3749
 
6.2%
2983
 
4.9%
2577
 
4.3%
2267
 
3.7%
Other values (286) 21566
35.6%
Common
ValueCountFrequency (%)
16904
42.5%
( 3314
 
8.3%
) 3314
 
8.3%
1 2885
 
7.3%
3 2485
 
6.3%
2 2082
 
5.2%
4 1326
 
3.3%
5 1318
 
3.3%
6 1225
 
3.1%
7 1172
 
2.9%
Other values (5) 3720
 
9.4%
Latin
ValueCountFrequency (%)
B 12
27.9%
A 10
23.3%
L 5
11.6%
K 5
11.6%
S 3
 
7.0%
M 2
 
4.7%
C 2
 
4.7%
T 2
 
4.7%
E 1
 
2.3%
G 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60620
60.4%
ASCII 39788
39.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16904
42.5%
( 3314
 
8.3%
) 3314
 
8.3%
1 2885
 
7.3%
3 2485
 
6.2%
2 2082
 
5.2%
4 1326
 
3.3%
5 1318
 
3.3%
6 1225
 
3.1%
7 1172
 
2.9%
Other values (15) 3763
 
9.5%
Hangul
ValueCountFrequency (%)
7453
 
12.3%
4486
 
7.4%
3920
 
6.5%
3905
 
6.4%
3905
 
6.4%
3810
 
6.3%
3749
 
6.2%
2983
 
4.9%
2577
 
4.3%
2267
 
3.7%
Other values (285) 21565
35.6%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)19.1%
Missing3155
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean403597.42
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:54.900804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41497
Q142699
median702813
Q3704801
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662102

Descriptive statistics

Standard deviation330255.86
Coefficient of variation (CV)0.81828042
Kurtosis-1.9691676
Mean403597.42
Median Absolute Deviation (MAD)9042
Skewness-0.18067097
Sum7.8499698 × 108
Variance1.0906894 × 1011
MonotonicityNot monotonic
2024-04-22T06:43:55.147446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 88
 
1.7%
704801 76
 
1.5%
702815 67
 
1.3%
704833 46
 
0.9%
711855 45
 
0.9%
702872 44
 
0.9%
704190 42
 
0.8%
702814 40
 
0.8%
43011 37
 
0.7%
703830 35
 
0.7%
Other values (361) 1425
27.9%
(Missing) 3155
61.9%
ValueCountFrequency (%)
41005 1
 
< 0.1%
41007 1
 
< 0.1%
41052 3
 
0.1%
41059 1
 
< 0.1%
41060 1
 
< 0.1%
41061 1
 
< 0.1%
41074 1
 
< 0.1%
41078 12
0.2%
41079 5
0.1%
41081 5
0.1%
ValueCountFrequency (%)
711892 9
0.2%
711891 18
0.4%
711890 2
 
< 0.1%
711882 2
 
< 0.1%
711874 1
 
< 0.1%
711871 2
 
< 0.1%
711861 1
 
< 0.1%
711860 1
 
< 0.1%
711858 20
0.4%
711857 15
0.3%
Distinct4333
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
2024-04-22T06:43:55.902744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.14
Min length2

Characters and Unicode

Total characters36414
Distinct characters594
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

Unique3731 ?
Unique (%)73.2%

Sample

1st row대구광역시 중구청
2nd row신일모터스
3rd row경북대학교치과병원
4th row(주)케이티에스테이트
5th row케이비부동산신탁(주)
ValueCountFrequency (%)
주식회사 71
 
1.3%
대구공장 28
 
0.5%
제2공장 23
 
0.4%
2공장 17
 
0.3%
입주자대표회의 13
 
0.2%
성서공장 10
 
0.2%
대구지점 9
 
0.2%
8
 
0.1%
비산공장 7
 
0.1%
태성산업 7
 
0.1%
Other values (4449) 5377
96.5%
2024-04-22T06:43:56.860050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2216
 
6.1%
) 2186
 
6.0%
2095
 
5.8%
1248
 
3.4%
1004
 
2.8%
971
 
2.7%
916
 
2.5%
783
 
2.2%
659
 
1.8%
617
 
1.7%
Other values (584) 23719
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30349
83.3%
Open Punctuation 2217
 
6.1%
Close Punctuation 2187
 
6.0%
Space Separator 470
 
1.3%
Uppercase Letter 430
 
1.2%
Other Punctuation 307
 
0.8%
Other Symbol 239
 
0.7%
Decimal Number 192
 
0.5%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2095
 
6.9%
1248
 
4.1%
1004
 
3.3%
971
 
3.2%
916
 
3.0%
783
 
2.6%
659
 
2.2%
617
 
2.0%
603
 
2.0%
554
 
1.8%
Other values (525) 20899
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
11.2%
C 40
 
9.3%
T 36
 
8.4%
E 34
 
7.9%
K 29
 
6.7%
P 26
 
6.0%
M 22
 
5.1%
O 20
 
4.7%
D 20
 
4.7%
A 19
 
4.4%
Other values (15) 136
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
h 2
 
11.8%
c 2
 
11.8%
g 1
 
5.9%
t 1
 
5.9%
n 1
 
5.9%
o 1
 
5.9%
r 1
 
5.9%
a 1
 
5.9%
m 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 90
46.9%
1 61
31.8%
3 21
 
10.9%
5 6
 
3.1%
8 5
 
2.6%
6 4
 
2.1%
4 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 151
49.2%
, 119
38.8%
& 22
 
7.2%
/ 10
 
3.3%
* 3
 
1.0%
2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 2216
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2186
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
470
100.0%
Other Symbol
ValueCountFrequency (%)
239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30588
84.0%
Common 5379
 
14.8%
Latin 447
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2095
 
6.8%
1248
 
4.1%
1004
 
3.3%
971
 
3.2%
916
 
3.0%
783
 
2.6%
659
 
2.2%
617
 
2.0%
603
 
2.0%
554
 
1.8%
Other values (526) 21138
69.1%
Latin
ValueCountFrequency (%)
S 48
 
10.7%
C 40
 
8.9%
T 36
 
8.1%
E 34
 
7.6%
K 29
 
6.5%
P 26
 
5.8%
M 22
 
4.9%
O 20
 
4.5%
D 20
 
4.5%
A 19
 
4.3%
Other values (26) 153
34.2%
Common
ValueCountFrequency (%)
( 2216
41.2%
) 2186
40.6%
470
 
8.7%
. 151
 
2.8%
, 119
 
2.2%
2 90
 
1.7%
1 61
 
1.1%
& 22
 
0.4%
3 21
 
0.4%
/ 10
 
0.2%
Other values (12) 33
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30349
83.3%
ASCII 5824
 
16.0%
None 241
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2216
38.0%
) 2186
37.5%
470
 
8.1%
. 151
 
2.6%
, 119
 
2.0%
2 90
 
1.5%
1 61
 
1.0%
S 48
 
0.8%
C 40
 
0.7%
T 36
 
0.6%
Other values (47) 407
 
7.0%
Hangul
ValueCountFrequency (%)
2095
 
6.9%
1248
 
4.1%
1004
 
3.3%
971
 
3.2%
916
 
3.0%
783
 
2.6%
659
 
2.2%
617
 
2.0%
603
 
2.0%
554
 
1.8%
Other values (525) 20899
68.9%
None
ValueCountFrequency (%)
239
99.2%
2
 
0.8%

최종수정시점
Real number (ℝ)

Distinct5099
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014326 × 1013
Minimum2.0010104 × 1013
Maximum2.0221231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:43:57.109344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010104 × 1013
5-th percentile2.0040104 × 1013
Q12.0081128 × 1013
median2.0160127 × 1013
Q32.0210218 × 1013
95-th percentile2.0221018 × 1013
Maximum2.0221231 × 1013
Range2.1112699 × 1011
Interquartile range (IQR)1.2908995 × 1011

Descriptive statistics

Standard deviation6.4827783 × 1010
Coefficient of variation (CV)0.0032183363
Kurtosis-1.293113
Mean2.014326 × 1013
Median Absolute Deviation (MAD)5.0796016 × 1010
Skewness-0.32673666
Sum1.0273062 × 1017
Variance4.2026414 × 1021
MonotonicityNot monotonic
2024-04-22T06:43:57.360721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20220411094722 1
 
< 0.1%
20050825180750 1
 
< 0.1%
20081006134125 1
 
< 0.1%
20071213174017 1
 
< 0.1%
20060510183013 1
 
< 0.1%
20081008102504 1
 
< 0.1%
20050803143220 1
 
< 0.1%
20040625162823 1
 
< 0.1%
20060316113852 1
 
< 0.1%
Other values (5089) 5089
99.8%
ValueCountFrequency (%)
20010104114108 1
< 0.1%
20010131100554 1
< 0.1%
20010315125649 1
< 0.1%
20010328174344 1
< 0.1%
20010511135104 1
< 0.1%
20010514153431 1
< 0.1%
20010605181832 1
< 0.1%
20010605182545 1
< 0.1%
20010605193518 1
< 0.1%
20010605194306 1
< 0.1%
ValueCountFrequency (%)
20221231105357 1
< 0.1%
20221231105204 1
< 0.1%
20221231105004 1
< 0.1%
20221231090257 1
< 0.1%
20221231090212 1
< 0.1%
20221230174002 1
< 0.1%
20221230151449 1
< 0.1%
20221230145417 1
< 0.1%
20221230144826 1
< 0.1%
20221230144810 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
I
3225 
U
1875 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3225
63.2%
U 1875
36.8%

Length

2024-04-22T06:43:57.583646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:43:57.749591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3225
63.2%
u 1875
36.8%
Distinct819
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
Minimum2018-09-04 23:59:59
Maximum2023-01-02 02:40:00
2024-04-22T06:43:57.928724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:43:58.203245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct450
Distinct (%)13.2%
Missing1682
Missing (%)33.0%
Memory size40.0 KiB
2024-04-22T06:43:59.483521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.027794
Min length2

Characters and Unicode

Total characters37693
Distinct characters300
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

Unique204 ?
Unique (%)6.0%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row부동산업
5th row기타 서비스업
ValueCountFrequency (%)
제조업 1638
 
15.8%
기타 1103
 
10.6%
907
 
8.7%
조립금속제품 375
 
3.6%
자동차 363
 
3.5%
가공업 310
 
3.0%
염색 300
 
2.9%
수리업 294
 
2.8%
도금업 275
 
2.7%
섬유 274
 
2.6%
Other values (601) 4538
43.7%
2024-04-22T06:44:01.200147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6963
18.5%
3465
 
9.2%
2901
 
7.7%
2192
 
5.8%
1511
 
4.0%
1265
 
3.4%
1178
 
3.1%
1125
 
3.0%
976
 
2.6%
850
 
2.3%
Other values (290) 15267
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30555
81.1%
Space Separator 6963
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6963
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30555
81.1%
Common 7138
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
Common
ValueCountFrequency (%)
6963
97.5%
, 139
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30555
81.1%
ASCII 7131
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6963
97.6%
, 139
 
1.9%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3019
Distinct (%)75.7%
Missing1110
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean338417.87
Minimum324827.06
Maximum358663.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:01.607870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328314.86
Q1335254.09
median338892.18
Q3341503.45
95-th percentile347068.33
Maximum358663.13
Range33836.073
Interquartile range (IQR)6249.3623

Descriptive statistics

Standard deviation5675.7801
Coefficient of variation (CV)0.016771514
Kurtosis1.1177031
Mean338417.87
Median Absolute Deviation (MAD)3234.0985
Skewness0.40634689
Sum1.3502873 × 109
Variance32214479
MonotonicityNot monotonic
2024-04-22T06:44:02.051357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302038787 10
 
0.2%
335898.64722115 8
 
0.2%
336366.064251572 8
 
0.2%
336353.196286814 8
 
0.2%
341927.56323321 7
 
0.1%
336559.67028675 7
 
0.1%
340174.37064187 7
 
0.1%
338653.42195118 7
 
0.1%
339163.824108967 7
 
0.1%
339372.436368902 6
 
0.1%
Other values (3009) 3915
76.8%
(Missing) 1110
 
21.8%
ValueCountFrequency (%)
324827.061697927 1
< 0.1%
324827.256682568 1
< 0.1%
325031.349321951 1
< 0.1%
325101.677227104 1
< 0.1%
325693.930075186 1
< 0.1%
325695.119708392 1
< 0.1%
325744.473020781 1
< 0.1%
325759.02796265 1
< 0.1%
325796.946031429 1
< 0.1%
325797.948918791 1
< 0.1%
ValueCountFrequency (%)
358663.134909228 1
 
< 0.1%
357474.364750617 1
 
< 0.1%
357249.517998328 1
 
< 0.1%
357183.00490047 1
 
< 0.1%
356288.780361138 1
 
< 0.1%
355939.362329351 2
< 0.1%
355708.657238321 1
 
< 0.1%
355593.294094409 1
 
< 0.1%
355569.867912385 1
 
< 0.1%
355558.23324728 3
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3019
Distinct (%)75.7%
Missing1110
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean261921.51
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:02.481718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile248214.08
Q1260409.15
median264048.87
Q3266883.35
95-th percentile268073.3
Maximum278091.65
Range41927.261
Interquartile range (IQR)6474.2049

Descriptive statistics

Standard deviation7087.478
Coefficient of variation (CV)0.027059549
Kurtosis2.7441391
Mean261921.51
Median Absolute Deviation (MAD)3103.01
Skewness-1.7395577
Sum1.0450668 × 109
Variance50232344
MonotonicityNot monotonic
2024-04-22T06:44:02.913422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640905574 10
 
0.2%
258962.008119978 8
 
0.2%
261651.801477034 8
 
0.2%
261562.315791212 8
 
0.2%
267406.601135619 7
 
0.1%
261730.820002532 7
 
0.1%
267045.016160041 7
 
0.1%
263463.995182109 7
 
0.1%
265188.870359479 7
 
0.1%
266176.21665027 6
 
0.1%
Other values (3009) 3915
76.8%
(Missing) 1110
 
21.8%
ValueCountFrequency (%)
236164.392417907 1
< 0.1%
236283.74688717 1
< 0.1%
237420.318840774 1
< 0.1%
237677.093670862 1
< 0.1%
237679.019436224 1
< 0.1%
237682.121456924 1
< 0.1%
237686.085459452 1
< 0.1%
237690.289796808 1
< 0.1%
237691.769750968 1
< 0.1%
237692.765575349 1
< 0.1%
ValueCountFrequency (%)
278091.653532319 1
< 0.1%
277467.078075227 1
< 0.1%
274001.578647157 1
< 0.1%
273857.356672978 1
< 0.1%
273712.08248913 1
< 0.1%
273432.540162157 1
< 0.1%
273400.631796057 1
< 0.1%
273237.600006005 1
< 0.1%
273232.996437307 1
< 0.1%
272735.675659876 2
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
대기배출업소관리
5100 

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 5100
100.0%

Length

2024-04-22T06:44:03.322353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:44:03.618197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5100
100.0%

업종구분명
Text

MISSING 

Distinct450
Distinct (%)13.2%
Missing1682
Missing (%)33.0%
Memory size40.0 KiB
2024-04-22T06:44:04.816719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.027794
Min length2

Characters and Unicode

Total characters37693
Distinct characters300
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

Unique204 ?
Unique (%)6.0%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row부동산업
5th row기타 서비스업
ValueCountFrequency (%)
제조업 1638
 
15.8%
기타 1103
 
10.6%
907
 
8.7%
조립금속제품 375
 
3.6%
자동차 363
 
3.5%
가공업 310
 
3.0%
염색 300
 
2.9%
수리업 294
 
2.8%
도금업 275
 
2.7%
섬유 274
 
2.6%
Other values (601) 4538
43.7%
2024-04-22T06:44:06.547513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6963
18.5%
3465
 
9.2%
2901
 
7.7%
2192
 
5.8%
1511
 
4.0%
1265
 
3.4%
1178
 
3.1%
1125
 
3.0%
976
 
2.6%
850
 
2.3%
Other values (290) 15267
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30555
81.1%
Space Separator 6963
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6963
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30555
81.1%
Common 7138
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
Common
ValueCountFrequency (%)
6963
97.5%
, 139
 
1.9%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30555
81.1%
ASCII 7131
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6963
97.6%
, 139
 
1.9%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3465
 
11.3%
2901
 
9.5%
2192
 
7.2%
1511
 
4.9%
1265
 
4.1%
1178
 
3.9%
1125
 
3.7%
976
 
3.2%
850
 
2.8%
802
 
2.6%
Other values (285) 14290
46.8%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.0 KiB
5종
2822 
4종
1631 
3종
 
222
2종
 
205
<NA>
 
175

Length

Max length4
Median length2
Mean length2.0686275
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2822
55.3%
4종 1631
32.0%
3종 222
 
4.4%
2종 205
 
4.0%
<NA> 175
 
3.4%
1종 45
 
0.9%

Length

2024-04-22T06:44:06.991014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:44:07.345803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2822
55.3%
4종 1631
32.0%
3종 222
 
4.4%
2종 205
 
4.0%
na 175
 
3.4%
1종 45
 
0.9%

주생산품명
Text

MISSING 

Distinct932
Distinct (%)61.8%
Missing3592
Missing (%)70.4%
Memory size40.0 KiB
2024-04-22T06:44:08.236110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9688329
Min length1

Characters and Unicode

Total characters9001
Distinct characters465
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

Unique753 ?
Unique (%)49.9%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 191
 
9.8%
안경테 41
 
2.1%
자동차 40
 
2.1%
37
 
1.9%
33
 
1.7%
전자부품 26
 
1.3%
부품 25
 
1.3%
기계부품 22
 
1.1%
가공원단 21
 
1.1%
고무시트 19
 
1.0%
Other values (967) 1494
76.7%
2024-04-22T06:44:09.579566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
6.3%
459
 
5.1%
441
 
4.9%
427
 
4.7%
375
 
4.2%
363
 
4.0%
182
 
2.0%
155
 
1.7%
, 147
 
1.6%
141
 
1.6%
Other values (455) 5747
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7854
87.3%
Space Separator 441
 
4.9%
Uppercase Letter 261
 
2.9%
Other Punctuation 164
 
1.8%
Lowercase Letter 128
 
1.4%
Close Punctuation 70
 
0.8%
Open Punctuation 70
 
0.8%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
427
 
5.4%
375
 
4.8%
363
 
4.6%
182
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4939
62.9%
Uppercase Letter
ValueCountFrequency (%)
P 51
19.5%
E 37
14.2%
C 21
8.0%
D 20
 
7.7%
L 20
 
7.7%
T 16
 
6.1%
O 14
 
5.4%
I 13
 
5.0%
S 13
 
5.0%
R 10
 
3.8%
Other values (13) 46
17.6%
Lowercase Letter
ValueCountFrequency (%)
o 17
13.3%
c 12
9.4%
r 11
 
8.6%
f 11
 
8.6%
e 10
 
7.8%
i 9
 
7.0%
t 8
 
6.2%
l 7
 
5.5%
p 7
 
5.5%
a 7
 
5.5%
Other values (12) 29
22.7%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
7 2
28.6%
4 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 147
89.6%
. 12
 
7.3%
/ 4
 
2.4%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7854
87.3%
Common 758
 
8.4%
Latin 389
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
427
 
5.4%
375
 
4.8%
363
 
4.6%
182
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4939
62.9%
Latin
ValueCountFrequency (%)
P 51
 
13.1%
E 37
 
9.5%
C 21
 
5.4%
D 20
 
5.1%
L 20
 
5.1%
o 17
 
4.4%
T 16
 
4.1%
O 14
 
3.6%
I 13
 
3.3%
S 13
 
3.3%
Other values (35) 167
42.9%
Common
ValueCountFrequency (%)
441
58.2%
, 147
 
19.4%
) 70
 
9.2%
( 70
 
9.2%
. 12
 
1.6%
- 5
 
0.7%
/ 4
 
0.5%
2 2
 
0.3%
7 2
 
0.3%
4 1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7854
87.3%
ASCII 1146
 
12.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
564
 
7.2%
459
 
5.8%
427
 
5.4%
375
 
4.8%
363
 
4.6%
182
 
2.3%
155
 
2.0%
141
 
1.8%
131
 
1.7%
118
 
1.5%
Other values (396) 4939
62.9%
ASCII
ValueCountFrequency (%)
441
38.5%
, 147
 
12.8%
) 70
 
6.1%
( 70
 
6.1%
P 51
 
4.5%
E 37
 
3.2%
C 21
 
1.8%
D 20
 
1.7%
L 20
 
1.7%
o 17
 
1.5%
Other values (48) 252
22.0%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct37
Distinct (%)0.7%
Missing65
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.741577
Minimum0
Maximum912
Zeros1523
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:09.974129image/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 deviation15.002336
Coefficient of variation (CV)1.9378915
Kurtosis2634.2734
Mean7.741577
Median Absolute Deviation (MAD)3
Skewness44.433571
Sum38978.84
Variance225.07009
MonotonicityNot monotonic
2024-04-22T06:44:10.367949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 1990
39.0%
0.0 1523
29.9%
24.0 484
 
9.5%
10.0 301
 
5.9%
6.0 94
 
1.8%
12.0 89
 
1.7%
4.0 77
 
1.5%
5.0 67
 
1.3%
20.0 62
 
1.2%
7.0 60
 
1.2%
Other values (27) 288
 
5.6%
(Missing) 65
 
1.3%
ValueCountFrequency (%)
0.0 1523
29.9%
1.0 12
 
0.2%
1.34 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 21
 
0.4%
2.5 1
 
< 0.1%
3.0 30
 
0.6%
3.5 1
 
< 0.1%
4.0 77
 
1.5%
5.0 67
 
1.3%
ValueCountFrequency (%)
912.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
30.0 1
 
< 0.1%
25.0 2
 
< 0.1%
24.0 484
9.5%
23.0 1
 
< 0.1%
22.0 16
 
0.3%
21.0 9
 
0.2%
20.0 62
 
1.2%

배출시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.6349
Minimum0
Maximum365
Zeros1608
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:10.713223image/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 deviation139.7908
Coefficient of variation (CV)0.69674219
Kurtosis-1.4484506
Mean200.6349
Median Absolute Deviation (MAD)0
Skewness-0.68142256
Sum1023238
Variance19541.468
MonotonicityNot monotonic
2024-04-22T06:44:10.966805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2730
53.5%
0 1608
31.5%
240 92
 
1.8%
365 69
 
1.4%
312 45
 
0.9%
250 45
 
0.9%
360 41
 
0.8%
264 40
 
0.8%
180 29
 
0.6%
330 26
 
0.5%
Other values (91) 375
 
7.4%
ValueCountFrequency (%)
0 1608
31.5%
5 1
 
< 0.1%
8 2
 
< 0.1%
10 1
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 3
 
0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
ValueCountFrequency (%)
365 69
1.4%
362 1
 
< 0.1%
361 2
 
< 0.1%
360 41
0.8%
358 1
 
< 0.1%
355 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%
340 20
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)0.8%
Missing452
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean7.3118201
Minimum0
Maximum300
Zeros1550
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:11.203978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q38
95-th percentile24
Maximum300
Range300
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.8679151
Coefficient of variation (CV)1.3495839
Kurtosis335.28401
Mean7.3118201
Median Absolute Deviation (MAD)3
Skewness13.080977
Sum33985.34
Variance97.375748
MonotonicityNot monotonic
2024-04-22T06:44:11.428966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8.0 1802
35.3%
0.0 1550
30.4%
24.0 412
 
8.1%
10.0 250
 
4.9%
6.0 83
 
1.6%
12.0 74
 
1.5%
4.0 65
 
1.3%
5.0 63
 
1.2%
7.0 59
 
1.2%
20.0 52
 
1.0%
Other values (25) 238
 
4.7%
(Missing) 452
 
8.9%
ValueCountFrequency (%)
0.0 1550
30.4%
1.0 10
 
0.2%
1.34 1
 
< 0.1%
2.0 16
 
0.3%
2.5 1
 
< 0.1%
3.0 20
 
0.4%
4.0 65
 
1.3%
5.0 63
 
1.2%
6.0 83
 
1.6%
7.0 59
 
1.2%
ValueCountFrequency (%)
300.0 1
 
< 0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
120.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 412
8.1%
22.0 12
 
0.2%
21.0 9
 
0.2%

방지시설연간가동일수
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.6449
Minimum0
Maximum365
Zeros1973
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:11.673002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile303
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation145.91876
Coefficient of variation (CV)0.80776575
Kurtosis-1.788293
Mean180.6449
Median Absolute Deviation (MAD)12
Skewness-0.39271276
Sum921289
Variance21292.286
MonotonicityNot monotonic
2024-04-22T06:44:11.923173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2494
48.9%
0 1973
38.7%
240 81
 
1.6%
365 50
 
1.0%
312 44
 
0.9%
250 43
 
0.8%
360 34
 
0.7%
264 30
 
0.6%
330 26
 
0.5%
280 22
 
0.4%
Other values (79) 303
 
5.9%
ValueCountFrequency (%)
0 1973
38.7%
8 1
 
< 0.1%
24 2
 
< 0.1%
25 2
 
< 0.1%
30 2
 
< 0.1%
51 1
 
< 0.1%
60 2
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
96 1
 
< 0.1%
ValueCountFrequency (%)
365 50
1.0%
362 1
 
< 0.1%
361 1
 
< 0.1%
360 34
0.7%
358 1
 
< 0.1%
355 1
 
< 0.1%
353 1
 
< 0.1%
352 2
 
< 0.1%
350 14
 
0.3%
341 3
 
0.1%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct3373
Distinct (%)85.7%
Missing1164
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean4.9752009 × 109
Minimum1.6522768 × 108
Maximum8.9915009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2024-04-22T06:44:12.191628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6522768 × 108
5-th percentile2.6455251 × 109
Q15.0320819 × 109
median5.0406736 × 109
Q35.141371 × 109
95-th percentile6.0886658 × 109
Maximum8.9915009 × 109
Range8.8262732 × 109
Interquartile range (IQR)1.0928916 × 108

Descriptive statistics

Standard deviation9.9777289 × 108
Coefficient of variation (CV)0.20054927
Kurtosis7.4679719
Mean4.9752009 × 109
Median Absolute Deviation (MAD)9326153.5
Skewness-0.86950471
Sum1.9582391 × 1013
Variance9.9555074 × 1017
MonotonicityNot monotonic
2024-04-22T06:44:12.750496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2208160348 10
 
0.2%
2068650913 5
 
0.1%
1268174308 5
 
0.1%
5148516634 4
 
0.1%
5038199597 4
 
0.1%
5042242130 4
 
0.1%
5043086069 4
 
0.1%
5038106628 4
 
0.1%
5038166500 4
 
0.1%
5048136289 4
 
0.1%
Other values (3363) 3888
76.2%
(Missing) 1164
 
22.8%
ValueCountFrequency (%)
165227682 1
 
< 0.1%
530879680 1
 
< 0.1%
1018109147 1
 
< 0.1%
1018143409 1
 
< 0.1%
1028111097 1
 
< 0.1%
1028142945 4
0.1%
1048137225 1
 
< 0.1%
1048612291 1
 
< 0.1%
1048621617 1
 
< 0.1%
1061528839 1
 
< 0.1%
ValueCountFrequency (%)
8991500914 1
< 0.1%
8978100704 1
< 0.1%
8931201739 1
< 0.1%
8920901982 1
< 0.1%
8908600751 1
< 0.1%
8878101521 1
< 0.1%
8858601156 1
< 0.1%
8838502133 1
< 0.1%
8833900934 1
< 0.1%
8833001100 1
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
01대기오염물질배출시설설치사업장09_30_08_P341000034100002120220000220220411<NA>1영업/정상11영업<NA><NA><NA><NA>053-661-2000<NA><NA>대구광역시 중구 동인동2가 177-4 중구청대구광역시 중구 국채보상로139길 1, 중구청 (동인동2가)41908대구광역시 중구청20220411094722I2022-04-13 00:22:33.0부동산 임대업344977.845663264442.068379대기배출업소관리부동산 임대업5종<NA>7.01477.01475018300020
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>3005014123488
23대기오염물질배출시설설치사업장09_30_08_P341000034100002120210000420211117<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 188-1 경북대학교치과병원대구광역시 중구 달구벌대로 2175, 경북대학교치과병원 (삼덕동2가)41940경북대학교치과병원20221018163704U2022-10-20 02:40:00.0치과 병원344597.99926263844.348739대기배출업소관리치과 병원5종<NA>120.01204.01202628200093
34대기오염물질배출시설설치사업장09_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>01208757657
45대기오염물질배출시설설치사업장09_30_08_P341000034100002120220000420221202<NA>1영업/정상11영업<NA><NA><NA><NA>251-5137<NA><NA>대구광역시 중구 남산동 3006 반월당효성해링턴플레이스대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스)41961케이비부동산신탁(주)20221202093601I2022-12-04 00:39:59.0부동산업343902.080116263530.809939대기배출업소관리부동산업5종<NA><NA>012.03531208167944
56대기오염물질배출시설설치사업장09_30_08_P341000034100002120220000520221223<NA>1영업/정상11영업<NA><NA><NA><NA>053-429-7004<NA><NA>대구광역시 중구 삼덕동2가 210-1 진석타워대구광역시 중구 동덕로 115, 진석타워 (삼덕동2가)41940진석타워즈20221223091946I2022-12-25 00:40:55.0기타 서비스업344686.259338263958.880864대기배출업소관리기타 서비스업5종<NA><NA>0<NA>2505041625028
67대기오염물질배출시설설치사업장09_30_08_P341000034100002120210000320210621<NA>1영업/정상11영업<NA><NA><NA><NA>07044977480<NA><NA>대구광역시 중구 동성로2가 88-25대구광역시 중구 국채보상로 586 (동성로2가)41937교보생명보험(주) 동성로사옥20210628113906U2021-06-30 02:40:00.0금융업343959.823762264529.39356대기배출업소관리금융업4종<NA><NA>0<NA>3001028111097
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001520151209<NA>1영업/정상11영업<NA><NA><NA><NA>053-250-5555<NA><NA>대구광역시 중구 덕산동 110대구광역시 중구 달구벌대로 2095 (덕산동)41936엔에이치아문디일반사모부동산투자신탁17호(적격)20221206085339U2022-12-08 02:40:00.0금융업343787.134092264065.576741대기배출업소관리금융업4종<NA>8.0200<NA>03828501854
89대기오염물질배출시설설치사업장09_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>05048515230
910대기오염물질배출시설설치사업장09_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>05048541529
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
50905091대기오염물질배출시설설치사업장09_30_08_P348000034800002120210002420211008<NA>1영업/정상11영업<NA><NA><NA><NA>053-614-1865<NA><NA>대구광역시 달성군 구지면 화산리 1113-5대구광역시 달성군 구지면 국가산단대로39길 18543011(주)동하정밀 대구지점20220603192549U2022-06-08 02:40:00.0자동차용 동력전달장치 제조업326582.517193240512.702279대기배출업소관리자동차용 동력전달장치 제조업4종샤프트(엑슬,드라이브)24.030024.03008448501027
50915092대기오염물질배출시설설치사업장09_30_08_P348000034800002120210002620211102<NA>1영업/정상11영업<NA><NA><NA><NA>053-582-1141<NA><NA>대구광역시 달성군 구지면 내리 846-2 (주)에스탐코리아대구광역시 달성군 구지면 달성2차동1로 75 (주)에스탐코리아43013(주)카이솔루션20221129084841U2022-12-01 02:40:00.0축전지 제조업328292.679692238509.559479대기배출업소관리축전지 제조업5종이차전지소재-나노분말24.030024.03003968801887
50925093대기오염물질배출시설설치사업장09_30_08_P348000034800002120210002820211116<NA>1영업/정상11영업<NA><NA><NA><NA>053-550-8418<NA><NA>대구광역시 달성군 구지면 창리 1363대구광역시 달성군 구지면 국가산단대로39길 15943011(주)SJ테크20220603192403U2022-06-08 02:40:00.0기타 자동차부품 제조업326757.091675240218.016125대기배출업소관리기타 자동차부품 제조업5종<NA>22.026422.02641268174308
50935094대기오염물질배출시설설치사업장09_30_08_P348000034800002120200001120200723<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 원교리 794-2대구광역시 달성군 현풍읍 현풍서로 12243002(주)월드환경개발20220616145939U2022-06-18 02:40:00.0비금속원료 재생업328862.176441244760.02006대기배출업소관리비금속원료 재생업5종도로공사용 순환골재8.03008.03005968701971
50945095대기오염물질배출시설설치사업장09_30_08_P348000034800002120200001320200818<NA>1영업/정상11영업<NA><NA><NA><NA>053-615-0506<NA><NA>대구광역시 달성군 구지면 예현리 757-12 (주)영완대구광역시 달성군 구지면 달성2차로 221 (주)영완43013(사)한국지체장애인협회 달성군장애인재활자립작업장20210807102144U2021-08-10 02:40:00.0플라스틱 포대, 봉투 및 유사제품 제조업329332.672465238819.915072대기배출업소관리플라스틱 포대, 봉투 및 유사제품 제조업5종종량제 봉투 등8.02408.02405148210420
50955096대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001620210712<NA>1영업/정상11영업<NA><NA><NA><NA>053-474-8050<NA><NA>대구광역시 달성군 구지면 수리리 1309-1대구광역시 달성군 구지면 국가산단서로71길 20-3543011(주)에너피아20220710103200U2022-07-12 02:40:00.0기타 절연선 및 케이블 제조업325744.473021240781.150708대기배출업소관리기타 절연선 및 케이블 제조업5종난방필름8.03008.03005148160452
50965097대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001720210714<NA>1영업/정상11영업<NA><NA><NA><NA>053-358-7527<NA><NA>대구광역시 달성군 구지면 내리 850-1 (주)율아대구광역시 달성군 구지면 달성2차3로 8 (주)율아43013지알스크린(주)20210820171256U2021-08-22 02:40:00.0액체 여과기 제조업328408.905722238278.70117대기배출업소관리액체 여과기 제조업5종스크린바스켓8.03008.03002948101433
50975098대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001520210702<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 원교리 722-1대구광역시 달성군 현풍읍 현풍서로 102<NA>월드환경(주)20220928083328U2022-09-30 02:40:00.0폐기물 처리업329074.395828244753.711631대기배출업소관리폐기물 처리업5종<NA>8.03008.03004828601961
50985099대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001920210803<NA>1영업/정상11영업<NA><NA><NA><NA>053-615-9791<NA><NA>대구광역시 달성군 논공읍 금포리 951-2대구광역시 달성군 논공읍 비슬로373길 142968동원산자20211203164222U2021-12-07 02:40:00.0화학섬유직물 직조업328966.682783254114.47063대기배출업소관리화학섬유직물 직조업5종PVC코팅실24.035024.03505140359923
50995100대기오염물질배출시설설치사업장09_30_08_P348000034800002120210001820210723<NA>1영업/정상11영업<NA><NA><NA><NA>053-652-7765<NA><NA>대구광역시 달성군 구지면 예현리 763-17대구광역시 달성군 구지면 달성2차3로 5343013아인텍20220529164659U2022-05-31 02:40:00.0도장 및 기타 피막처리업328864.814464238362.592097대기배출업소관리도장 및 기타 피막처리업5종<NA>8.03008.03006570101840