Overview

Dataset statistics

Number of variables37
Number of observations5073
Missing cells52072
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory318.0 B

Variable types

Numeric14
Categorical9
Unsupported6
Text7
DateTime1

Dataset

Description22년07월_6270000_대구광역시_09_30_08_P_대기오염물질배출시설설치사업장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094055&dataSetDetailId=DDI_0000094129&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
인허가취소일자 has 5073 (100.0%) missing valuesMissing
폐업일자 has 2594 (51.1%) missing valuesMissing
휴업시작일자 has 5073 (100.0%) missing valuesMissing
휴업종료일자 has 5073 (100.0%) missing valuesMissing
재개업일자 has 5073 (100.0%) missing valuesMissing
소재지전화 has 620 (12.2%) missing valuesMissing
소재지면적 has 5073 (100.0%) missing valuesMissing
소재지우편번호 has 3886 (76.6%) missing valuesMissing
소재지전체주소 has 117 (2.3%) missing valuesMissing
도로명전체주소 has 1203 (23.7%) missing valuesMissing
도로명우편번호 has 3163 (62.3%) missing valuesMissing
업태구분명 has 1681 (33.1%) missing valuesMissing
좌표정보(X) has 1088 (21.4%) missing valuesMissing
좌표정보(Y) has 1088 (21.4%) missing valuesMissing
업종구분명 has 1681 (33.1%) missing valuesMissing
주생산품명 has 3577 (70.5%) missing valuesMissing
배출시설조업시간 has 63 (1.2%) missing valuesMissing
배출시설연간가동일수 has 63 (1.2%) missing valuesMissing
방지시설조업시간 has 454 (8.9%) missing valuesMissing
방지시설연간가동일수 has 356 (7.0%) missing valuesMissing
사업자등록번호 has 5073 (100.0%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -48.15838956)Skewed
배출시설조업시간 is highly skewed (γ1 = 44.38188821)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
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 1527 (30.1%) zerosZeros
배출시설연간가동일수 has 1547 (30.5%) zerosZeros
방지시설조업시간 has 1554 (30.6%) zerosZeros
방지시설연간가동일수 has 1621 (32.0%) zerosZeros

Reproduction

Analysis started2023-12-10 18:39:58.365128
Analysis finished2023-12-10 18:40:01.701005
Duration3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2537
Minimum1
Maximum5073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:01.820807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile254.6
Q11269
median2537
Q33805
95-th percentile4819.4
Maximum5073
Range5072
Interquartile range (IQR)2536

Descriptive statistics

Standard deviation1464.5933
Coefficient of variation (CV)0.57729337
Kurtosis-1.2
Mean2537
Median Absolute Deviation (MAD)1268
Skewness0
Sum12870201
Variance2145033.5
MonotonicityStrictly increasing
2023-12-11T03:40:02.078207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3381 1
 
< 0.1%
3388 1
 
< 0.1%
3387 1
 
< 0.1%
3386 1
 
< 0.1%
3385 1
 
< 0.1%
3384 1
 
< 0.1%
3383 1
 
< 0.1%
3382 1
 
< 0.1%
3380 1
 
< 0.1%
Other values (5063) 5063
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 (%)
5073 1
< 0.1%
5072 1
< 0.1%
5071 1
< 0.1%
5070 1
< 0.1%
5069 1
< 0.1%
5068 1
< 0.1%
5067 1
< 0.1%
5066 1
< 0.1%
5065 1
< 0.1%
5064 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
대기오염물질배출시설설치사업장
5073 

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 5073
100.0%

Length

2023-12-11T03:40:02.344712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:02.530873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기오염물질배출시설설치사업장 5073
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
09_30_08_P
5073 

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 5073
100.0%

Length

2023-12-11T03:40:02.752752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:02.902872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_08_p 5073
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455194.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:03.066149image/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 deviation19027.177
Coefficient of variation (CV)0.0055068329
Kurtosis-1.1423061
Mean3455194.2
Median Absolute Deviation (MAD)20000
Skewness-0.35530888
Sum1.75282 × 1010
Variance3.6203347 × 108
MonotonicityIncreasing
2023-12-11T03:40:03.353808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1584
31.2%
3450000 1319
26.0%
3430000 1086
21.4%
3480000 746
14.7%
3420000 173
 
3.4%
3460000 104
 
2.1%
3410000 41
 
0.8%
3440000 20
 
0.4%
ValueCountFrequency (%)
3410000 41
 
0.8%
3420000 173
 
3.4%
3430000 1086
21.4%
3440000 20
 
0.4%
3450000 1319
26.0%
3460000 104
 
2.1%
3470000 1584
31.2%
3480000 746
14.7%
ValueCountFrequency (%)
3480000 746
14.7%
3470000 1584
31.2%
3460000 104
 
2.1%
3450000 1319
26.0%
3440000 20
 
0.4%
3430000 1086
21.4%
3420000 173
 
3.4%
3410000 41
 
0.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4551944 × 1017
Minimum3.4100002 × 1017
Maximum3.4800002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:03.632129image/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 deviation1.9027177 × 1015
Coefficient of variation (CV)0.0055068326
Kurtosis-1.1423061
Mean3.4551944 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.35530888
Sum3.7942055 × 1017
Variance3.6203347 × 1030
MonotonicityNot monotonic
2023-12-11T03:40:03.899317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000021202200002 1
 
< 0.1%
347000021199200004 1
 
< 0.1%
347000021199200012 1
 
< 0.1%
347000021199200011 1
 
< 0.1%
347000021199200010 1
 
< 0.1%
347000021199200009 1
 
< 0.1%
347000021199200007 1
 
< 0.1%
347000021199200006 1
 
< 0.1%
347000021199200005 1
 
< 0.1%
347000021199200002 1
 
< 0.1%
Other values (5063) 5063
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 (%)
348000021202200012 1
< 0.1%
348000021202200011 1
< 0.1%
348000021202200010 1
< 0.1%
348000021202200009 1
< 0.1%
348000021202200008 1
< 0.1%
348000021202200007 1
< 0.1%
348000021202200006 1
< 0.1%
348000021202200005 1
< 0.1%
348000021202200004 1
< 0.1%
348000021202200003 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3235
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20019248
Minimum19010101
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:04.177795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19010101
5-th percentile19840915
Q119961230
median20040616
Q320120322
95-th percentile20190914
Maximum20220729
Range1210628
Interquartile range (IQR)159092

Descriptive statistics

Standard deviation172863.71
Coefficient of variation (CV)0.0086348753
Kurtosis20.251232
Mean20019248
Median Absolute Deviation (MAD)79600
Skewness-3.8745016
Sum1.0155764 × 1011
Variance2.9881861 × 1010
MonotonicityNot monotonic
2023-12-11T03:40:04.448049image/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%
20040603 13
 
0.3%
Other values (3225) 4671
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 (%)
20220729 1
< 0.1%
20220727 1
< 0.1%
20220726 1
< 0.1%
20220720 2
< 0.1%
20220715 1
< 0.1%
20220714 1
< 0.1%
20220708 1
< 0.1%
20220628 1
< 0.1%
20220615 2
< 0.1%
20220614 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
1
2043 
3
2036 
4
994 

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 2043
40.3%
3 2036
40.1%
4 994
19.6%

Length

2023-12-11T03:40:04.717046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:04.893120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2043
40.3%
3 2036
40.1%
4 994
19.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
영업/정상
2043 
폐업
2036 
취소/말소/만료/정지/중지
994 

Length

Max length14
Median length5
Mean length5.5594323
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 2043
40.3%
폐업 2036
40.1%
취소/말소/만료/정지/중지 994
19.6%

Length

2023-12-11T03:40:05.095934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:05.291049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2043
40.3%
폐업 2036
40.1%
취소/말소/만료/정지/중지 994
19.6%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
11
2043 
2
2036 
4
994 

Length

Max length2
Median length1
Mean length1.4027203
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 2043
40.3%
2 2036
40.1%
4 994
19.6%

Length

2023-12-11T03:40:05.496142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:05.674041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 2043
40.3%
2 2036
40.1%
4 994
19.6%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
영업
2043 
폐업
2036 
폐쇄
994 

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 2043
40.3%
폐업 2036
40.1%
폐쇄 994
19.6%

Length

2023-12-11T03:40:05.860057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:06.020704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2043
40.3%
폐업 2036
40.1%
폐쇄 994
19.6%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1496
Distinct (%)60.3%
Missing2594
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean20091606
Minimum199705
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:06.238440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199705
5-th percentile20030126
Q120050128
median20081118
Q320160128
95-th percentile20210106
Maximum20220729
Range20021024
Interquartile range (IQR)110001

Descriptive statistics

Standard deviation404135.89
Coefficient of variation (CV)0.020114663
Kurtosis2371.3532
Mean20091606
Median Absolute Deviation (MAD)40500
Skewness-48.15839
Sum4.9807092 × 1010
Variance1.6332582 × 1011
MonotonicityNot monotonic
2023-12-11T03:40:06.523718image/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%
20201208 11
 
0.2%
20040630 11
 
0.2%
Other values (1486) 2020
39.8%
(Missing) 2594
51.1%
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 (%)
20220729 2
< 0.1%
20220727 1
< 0.1%
20220726 1
< 0.1%
20220719 1
< 0.1%
20220715 1
< 0.1%
20220714 1
< 0.1%
20220712 1
< 0.1%
20220708 1
< 0.1%
20220704 1
< 0.1%
20220630 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB

소재지전화
Text

MISSING 

Distinct4155
Distinct (%)93.3%
Missing620
Missing (%)12.2%
Memory size39.8 KiB
2023-12-11T03:40:06.999555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9342017
Min length3

Characters and Unicode

Total characters44237
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

Unique3883 ?
Unique (%)87.2%

Sample

1st row053-661-2000
2nd row593-3198
3rd row0534310803
4th row07044977480
5th row053-250-5555
ValueCountFrequency (%)
053 731
 
10.9%
581 120
 
1.8%
354 84
 
1.3%
353 83
 
1.2%
582 78
 
1.2%
357 77
 
1.1%
356 72
 
1.1%
358 71
 
1.1%
583 67
 
1.0%
351 61
 
0.9%
Other values (4043) 5273
78.5%
2023-12-11T03:40:07.575312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8986
20.3%
3 7095
16.0%
0 6213
14.0%
1 3734
8.4%
8 3126
 
7.1%
6 2965
 
6.7%
2 2629
 
5.9%
2294
 
5.2%
7 2241
 
5.1%
4 2110
 
4.8%
Other values (5) 2844
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40873
92.4%
Space Separator 2294
 
5.2%
Dash Punctuation 1067
 
2.4%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8986
22.0%
3 7095
17.4%
0 6213
15.2%
1 3734
9.1%
8 3126
 
7.6%
6 2965
 
7.3%
2 2629
 
6.4%
7 2241
 
5.5%
4 2110
 
5.2%
9 1774
 
4.3%
Space Separator
ValueCountFrequency (%)
2294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1067
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 44237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8986
20.3%
3 7095
16.0%
0 6213
14.0%
1 3734
8.4%
8 3126
 
7.1%
6 2965
 
6.7%
2 2629
 
5.9%
2294
 
5.2%
7 2241
 
5.1%
4 2110
 
4.8%
Other values (5) 2844
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8986
20.3%
3 7095
16.0%
0 6213
14.0%
1 3734
8.4%
8 3126
 
7.1%
6 2965
 
6.7%
2 2629
 
5.9%
2294
 
5.2%
7 2241
 
5.1%
4 2110
 
4.8%
Other values (5) 2844
 
6.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)11.4%
Missing3886
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean694816.32
Minimum4
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:07.844071image/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 deviation81226.649
Coefficient of variation (CV)0.11690377
Kurtosis69.332283
Mean694816.32
Median Absolute Deviation (MAD)960
Skewness-8.4337294
Sum8.2474697 × 108
Variance6.5977685 × 109
MonotonicityNot monotonic
2023-12-11T03:40:08.036064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702083 232
 
4.6%
704190 62
 
1.2%
702050 57
 
1.1%
703830 53
 
1.0%
704900 52
 
1.0%
711855 38
 
0.7%
704801 36
 
0.7%
704170 34
 
0.7%
703833 33
 
0.7%
704200 32
 
0.6%
Other values (125) 558
 
11.0%
(Missing) 3886
76.6%
ValueCountFrequency (%)
4 1
 
< 0.1%
8 1
 
< 0.1%
704 14
0.3%
700761 1
 
< 0.1%
701040 1
 
< 0.1%
701050 2
 
< 0.1%
701140 1
 
< 0.1%
701180 1
 
< 0.1%
701190 1
 
< 0.1%
701230 5
 
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 

Distinct3970
Distinct (%)80.1%
Missing117
Missing (%)2.3%
Memory size39.8 KiB
2023-12-11T03:40:08.552555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length21.77381
Min length13

Characters and Unicode

Total characters107911
Distinct characters264
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

Unique3305 ?
Unique (%)66.7%

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 동성로2가 88-25
ValueCountFrequency (%)
대구광역시 4956
23.6%
달서구 1376
 
6.5%
북구 1315
 
6.3%
서구 1068
 
5.1%
달성군 901
 
4.3%
노원동3가 756
 
3.6%
이현동 380
 
1.8%
갈산동 368
 
1.7%
비산동 363
 
1.7%
논공읍 354
 
1.7%
Other values (4066) 9199
43.7%
2023-12-11T03:40:09.341068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21050
19.5%
9203
 
8.5%
5244
 
4.9%
4965
 
4.6%
4960
 
4.6%
4959
 
4.6%
4358
 
4.0%
1 4258
 
3.9%
- 3703
 
3.4%
2 2858
 
2.6%
Other values (254) 42353
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61009
56.5%
Decimal Number 21692
 
20.1%
Space Separator 21050
 
19.5%
Dash Punctuation 3703
 
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 (%)
9203
15.1%
5244
 
8.6%
4965
 
8.1%
4960
 
8.1%
4959
 
8.1%
4358
 
7.1%
2846
 
4.7%
2602
 
4.3%
2489
 
4.1%
2282
 
3.7%
Other values (230) 17101
28.0%
Decimal Number
ValueCountFrequency (%)
1 4258
19.6%
2 2858
13.2%
3 2811
13.0%
0 2318
10.7%
4 1913
8.8%
5 1600
 
7.4%
6 1597
 
7.4%
7 1536
 
7.1%
9 1459
 
6.7%
8 1342
 
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 (%)
21050
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3703
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 61010
56.5%
Common 46732
43.3%
Latin 169
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9203
15.1%
5244
 
8.6%
4965
 
8.1%
4960
 
8.1%
4959
 
8.1%
4358
 
7.1%
2846
 
4.7%
2602
 
4.3%
2489
 
4.1%
2282
 
3.7%
Other values (231) 17102
28.0%
Common
ValueCountFrequency (%)
21050
45.0%
1 4258
 
9.1%
- 3703
 
7.9%
2 2858
 
6.1%
3 2811
 
6.0%
0 2318
 
5.0%
4 1913
 
4.1%
5 1600
 
3.4%
6 1597
 
3.4%
7 1536
 
3.3%
Other values (5) 3088
 
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 61009
56.5%
ASCII 46901
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21050
44.9%
1 4258
 
9.1%
- 3703
 
7.9%
2 2858
 
6.1%
3 2811
 
6.0%
0 2318
 
4.9%
4 1913
 
4.1%
5 1600
 
3.4%
6 1597
 
3.4%
7 1536
 
3.3%
Other values (13) 3257
 
6.9%
Hangul
ValueCountFrequency (%)
9203
15.1%
5244
 
8.6%
4965
 
8.1%
4960
 
8.1%
4959
 
8.1%
4358
 
7.1%
2846
 
4.7%
2602
 
4.3%
2489
 
4.1%
2282
 
3.7%
Other values (230) 17101
28.0%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3337
Distinct (%)86.2%
Missing1203
Missing (%)23.7%
Memory size39.8 KiB
2023-12-11T03:40:09.850338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.742377
Min length19

Characters and Unicode

Total characters99623
Distinct characters317
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

Unique2919 ?
Unique (%)75.4%

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 국채보상로 586 (동성로2가)
ValueCountFrequency (%)
대구광역시 3870
 
19.7%
북구 1042
 
5.3%
달서구 1019
 
5.2%
서구 828
 
4.2%
달성군 680
 
3.5%
노원동3가 632
 
3.2%
논공읍 331
 
1.7%
이현동 279
 
1.4%
비산동 276
 
1.4%
갈산동 246
 
1.3%
Other values (1848) 10471
53.2%
2023-12-11T03:40:10.491345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16785
 
16.8%
7393
 
7.4%
4449
 
4.5%
3890
 
3.9%
3875
 
3.9%
3875
 
3.9%
3780
 
3.8%
3721
 
3.7%
) 3293
 
3.3%
( 3293
 
3.3%
Other values (307) 45269
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60114
60.3%
Space Separator 16785
 
16.8%
Decimal Number 15174
 
15.2%
Close Punctuation 3293
 
3.3%
Open Punctuation 3293
 
3.3%
Dash Punctuation 698
 
0.7%
Other Punctuation 222
 
0.2%
Uppercase Letter 43
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7393
 
12.3%
4449
 
7.4%
3890
 
6.5%
3875
 
6.4%
3875
 
6.4%
3780
 
6.3%
3721
 
6.2%
2971
 
4.9%
2562
 
4.3%
2249
 
3.7%
Other values (281) 21349
35.5%
Decimal Number
ValueCountFrequency (%)
1 2871
18.9%
3 2473
16.3%
2 2062
13.6%
5 1311
8.6%
4 1310
8.6%
6 1213
8.0%
7 1168
7.7%
9 997
 
6.6%
8 892
 
5.9%
0 877
 
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 (%)
16785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 698
100.0%
Other Punctuation
ValueCountFrequency (%)
, 222
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60115
60.3%
Common 39465
39.6%
Latin 43
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7393
 
12.3%
4449
 
7.4%
3890
 
6.5%
3875
 
6.4%
3875
 
6.4%
3780
 
6.3%
3721
 
6.2%
2971
 
4.9%
2562
 
4.3%
2249
 
3.7%
Other values (282) 21350
35.5%
Common
ValueCountFrequency (%)
16785
42.5%
) 3293
 
8.3%
( 3293
 
8.3%
1 2871
 
7.3%
3 2473
 
6.3%
2 2062
 
5.2%
5 1311
 
3.3%
4 1310
 
3.3%
6 1213
 
3.1%
7 1168
 
3.0%
Other values (5) 3686
 
9.3%
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 60114
60.3%
ASCII 39508
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16785
42.5%
) 3293
 
8.3%
( 3293
 
8.3%
1 2871
 
7.3%
3 2473
 
6.3%
2 2062
 
5.2%
5 1311
 
3.3%
4 1310
 
3.3%
6 1213
 
3.1%
7 1168
 
3.0%
Other values (15) 3729
 
9.4%
Hangul
ValueCountFrequency (%)
7393
 
12.3%
4449
 
7.4%
3890
 
6.5%
3875
 
6.4%
3875
 
6.4%
3780
 
6.3%
3721
 
6.2%
2971
 
4.9%
2562
 
4.3%
2249
 
3.7%
Other values (281) 21349
35.5%
None
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct366
Distinct (%)19.2%
Missing3163
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean409181.29
Minimum41005
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:10.663966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41498
Q142701.25
median702814
Q3704801
95-th percentile711855
Maximum711892
Range670887
Interquartile range (IQR)662099.75

Descriptive statistics

Standard deviation329705.48
Coefficient of variation (CV)0.80576871
Kurtosis-1.9556641
Mean409181.29
Median Absolute Deviation (MAD)9041
Skewness-0.21485685
Sum7.8153627 × 108
Variance1.087057 × 1011
MonotonicityNot monotonic
2023-12-11T03:40:10.847774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704900 87
 
1.7%
704801 77
 
1.5%
702815 67
 
1.3%
704833 46
 
0.9%
711855 45
 
0.9%
702872 44
 
0.9%
704190 42
 
0.8%
702814 39
 
0.8%
703830 35
 
0.7%
43011 35
 
0.7%
Other values (356) 1393
27.5%
(Missing) 3163
62.3%
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 4
 
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%
Distinct4306
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-11T03:40:11.224674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.1306919
Min length2

Characters and Unicode

Total characters36174
Distinct characters592
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

Unique3703 ?
Unique (%)73.0%

Sample

1st row대구광역시 중구청
2nd row신일모터스
3rd row경북대학교치과병원
4th row(주)케이티에스테이트
5th row교보생명보험(주) 동성로사옥
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 8
 
0.1%
제1공장 6
 
0.1%
Other values (4418) 5341
96.5%
2023-12-11T03:40:12.126390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2203
 
6.1%
) 2173
 
6.0%
2085
 
5.8%
1246
 
3.4%
1002
 
2.8%
960
 
2.7%
913
 
2.5%
778
 
2.2%
661
 
1.8%
610
 
1.7%
Other values (582) 23543
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30148
83.3%
Open Punctuation 2204
 
6.1%
Close Punctuation 2174
 
6.0%
Space Separator 461
 
1.3%
Uppercase Letter 433
 
1.2%
Other Punctuation 307
 
0.8%
Other Symbol 235
 
0.6%
Decimal Number 188
 
0.5%
Lowercase Letter 17
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2085
 
6.9%
1246
 
4.1%
1002
 
3.3%
960
 
3.2%
913
 
3.0%
778
 
2.6%
661
 
2.2%
610
 
2.0%
602
 
2.0%
549
 
1.8%
Other values (523) 20742
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
11.1%
C 41
 
9.5%
T 36
 
8.3%
E 34
 
7.9%
K 29
 
6.7%
P 26
 
6.0%
M 22
 
5.1%
D 21
 
4.8%
O 20
 
4.6%
G 19
 
4.4%
Other values (15) 137
31.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
c 2
 
11.8%
h 2
 
11.8%
n 1
 
5.9%
g 1
 
5.9%
m 1
 
5.9%
o 1
 
5.9%
t 1
 
5.9%
r 1
 
5.9%
a 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 87
46.3%
1 61
32.4%
3 20
 
10.6%
5 6
 
3.2%
8 5
 
2.7%
6 4
 
2.1%
4 2
 
1.1%
7 2
 
1.1%
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 (%)
( 2203
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2173
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
461
100.0%
Other Symbol
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30383
84.0%
Common 5341
 
14.8%
Latin 450
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2085
 
6.9%
1246
 
4.1%
1002
 
3.3%
960
 
3.2%
913
 
3.0%
778
 
2.6%
661
 
2.2%
610
 
2.0%
602
 
2.0%
549
 
1.8%
Other values (524) 20977
69.0%
Latin
ValueCountFrequency (%)
S 48
 
10.7%
C 41
 
9.1%
T 36
 
8.0%
E 34
 
7.6%
K 29
 
6.4%
P 26
 
5.8%
M 22
 
4.9%
D 21
 
4.7%
O 20
 
4.4%
G 19
 
4.2%
Other values (26) 154
34.2%
Common
ValueCountFrequency (%)
( 2203
41.2%
) 2173
40.7%
461
 
8.6%
. 151
 
2.8%
, 119
 
2.2%
2 87
 
1.6%
1 61
 
1.1%
& 22
 
0.4%
3 20
 
0.4%
/ 10
 
0.2%
Other values (12) 34
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30148
83.3%
ASCII 5789
 
16.0%
None 237
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2203
38.1%
) 2173
37.5%
461
 
8.0%
. 151
 
2.6%
, 119
 
2.1%
2 87
 
1.5%
1 61
 
1.1%
S 48
 
0.8%
C 41
 
0.7%
T 36
 
0.6%
Other values (47) 409
 
7.1%
Hangul
ValueCountFrequency (%)
2085
 
6.9%
1246
 
4.1%
1002
 
3.3%
960
 
3.2%
913
 
3.0%
778
 
2.6%
661
 
2.2%
610
 
2.0%
602
 
2.0%
549
 
1.8%
Other values (523) 20742
68.8%
None
ValueCountFrequency (%)
235
99.2%
2
 
0.8%

최종수정시점
Real number (ℝ)

Distinct5072
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141441 × 1013
Minimum2.0010104 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:12.308297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010104 × 1013
5-th percentile2.0040104 × 1013
Q12.0081119 × 1013
median2.0151214 × 1013
Q32.0201202 × 1013
95-th percentile2.0220521 × 1013
Maximum2.0220729 × 1013
Range2.1062506 × 1011
Interquartile range (IQR)1.2008305 × 1011

Descriptive statistics

Standard deviation6.3625705 × 1010
Coefficient of variation (CV)0.0031589451
Kurtosis-1.2748931
Mean2.0141441 × 1013
Median Absolute Deviation (MAD)5.9010089 × 1010
Skewness-0.32350067
Sum1.0217753 × 1017
Variance4.0482304 × 1021
MonotonicityNot monotonic
2023-12-11T03:40:12.525697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071123170427 2
 
< 0.1%
20220411094722 1
 
< 0.1%
20060510183013 1
 
< 0.1%
20060413174320 1
 
< 0.1%
20051213095941 1
 
< 0.1%
20040720153514 1
 
< 0.1%
20081006120917 1
 
< 0.1%
20081006115706 1
 
< 0.1%
20081006134125 1
 
< 0.1%
20071213174017 1
 
< 0.1%
Other values (5062) 5062
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 (%)
20220729175007 1
< 0.1%
20220729173613 1
< 0.1%
20220729143416 1
< 0.1%
20220729115334 1
< 0.1%
20220728111341 1
< 0.1%
20220728094156 1
< 0.1%
20220727184423 1
< 0.1%
20220727174958 1
< 0.1%
20220727172035 1
< 0.1%
20220727153544 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
I
3291 
U
1782 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3291
64.9%
U 1782
35.1%

Length

2023-12-11T03:40:12.723968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:12.853937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3291
64.9%
u 1782
35.1%
Distinct767
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
Minimum2018-09-04 23:59:59
Maximum2022-07-31 02:40:00
2023-12-11T03:40:13.005141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:40:13.180641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

MISSING 

Distinct444
Distinct (%)13.1%
Missing1681
Missing (%)33.1%
Memory size39.8 KiB
2023-12-11T03:40:13.629878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.025059
Min length2

Characters and Unicode

Total characters37397
Distinct characters299
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

Unique199 ?
Unique (%)5.9%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1630
 
15.8%
기타 1097
 
10.7%
901
 
8.8%
조립금속제품 375
 
3.6%
자동차 358
 
3.5%
가공업 310
 
3.0%
염색 300
 
2.9%
수리업 289
 
2.8%
섬유 274
 
2.7%
도금업 274
 
2.7%
Other values (592) 4489
43.6%
2023-12-11T03:40:14.254156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6909
18.5%
3439
 
9.2%
2890
 
7.7%
2184
 
5.8%
1499
 
4.0%
1262
 
3.4%
1172
 
3.1%
1121
 
3.0%
970
 
2.6%
839
 
2.2%
Other values (289) 15112
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30313
81.1%
Space Separator 6909
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6909
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30313
81.1%
Common 7084
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
Common
ValueCountFrequency (%)
6909
97.5%
, 139
 
2.0%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30313
81.1%
ASCII 7077
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6909
97.6%
, 139
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
None
ValueCountFrequency (%)
· 7
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3021
Distinct (%)75.8%
Missing1088
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean338463.63
Minimum324827.06
Maximum357474.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:14.433831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324827.06
5-th percentile328387.15
Q1335270.03
median338906.53
Q3341506.63
95-th percentile347199.74
Maximum357474.36
Range32647.303
Interquartile range (IQR)6236.6041

Descriptive statistics

Standard deviation5678.6271
Coefficient of variation (CV)0.016777658
Kurtosis1.1239843
Mean338463.63
Median Absolute Deviation (MAD)3224.6692
Skewness0.42533261
Sum1.3487776 × 109
Variance32246805
MonotonicityNot monotonic
2023-12-11T03:40:14.641165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336344.302039 11
 
0.2%
336366.064252 8
 
0.2%
336353.196287 8
 
0.2%
338653.414866 7
 
0.1%
335898.647221 7
 
0.1%
341927.563233 7
 
0.1%
339163.824109 7
 
0.1%
340174.370642 7
 
0.1%
336559.670287 7
 
0.1%
343230.893951 6
 
0.1%
Other values (3011) 3910
77.1%
(Missing) 1088
 
21.4%
ValueCountFrequency (%)
324827.061698 1
< 0.1%
325031.349322 1
< 0.1%
325101.677227 1
< 0.1%
325693.930075 1
< 0.1%
325695.119708 1
< 0.1%
325744.473021 1
< 0.1%
325759.027963 1
< 0.1%
325796.946031 1
< 0.1%
325797.948919 1
< 0.1%
325866.841016 1
< 0.1%
ValueCountFrequency (%)
357474.36475 1
 
< 0.1%
357249.517998 1
 
< 0.1%
357183.0049 1
 
< 0.1%
356288.780361 1
 
< 0.1%
355939.362329 2
< 0.1%
355715.873404 1
 
< 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 

Distinct3019
Distinct (%)75.8%
Missing1088
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean261970.51
Minimum236164.39
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:14.839948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236164.39
5-th percentile248408.52
Q1260458.76
median264085.81
Q3266882.89
95-th percentile268069.57
Maximum278091.65
Range41927.261
Interquartile range (IQR)6424.1262

Descriptive statistics

Standard deviation7022.8554
Coefficient of variation (CV)0.026807809
Kurtosis2.8522226
Mean261970.51
Median Absolute Deviation (MAD)3074.721
Skewness-1.7573097
Sum1.0439525 × 109
Variance49320497
MonotonicityNot monotonic
2023-12-11T03:40:15.056926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261497.640906 11
 
0.2%
261651.801477 8
 
0.2%
261562.315791 8
 
0.2%
267045.01616 7
 
0.1%
258962.00812 7
 
0.1%
267406.601136 7
 
0.1%
265188.870359 7
 
0.1%
261730.820003 7
 
0.1%
263466.441258 7
 
0.1%
263299.390649 6
 
0.1%
Other values (3009) 3910
77.1%
(Missing) 1088
 
21.4%
ValueCountFrequency (%)
236164.392418 1
< 0.1%
236283.746887 1
< 0.1%
237420.318841 1
< 0.1%
237677.093671 1
< 0.1%
237679.019436 1
< 0.1%
237682.121457 1
< 0.1%
237686.085459 1
< 0.1%
237690.289797 1
< 0.1%
237692.765575 1
< 0.1%
237805.763337 1
< 0.1%
ValueCountFrequency (%)
278091.653532 1
< 0.1%
277507.397404 1
< 0.1%
274001.175164 1
< 0.1%
273857.356673 1
< 0.1%
273712.082489 1
< 0.1%
273432.540162 1
< 0.1%
273400.631796 1
< 0.1%
273237.600006 1
< 0.1%
273236.236628 1
< 0.1%
272735.67566 2
< 0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
대기배출업소관리
5073 

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 5073
100.0%

Length

2023-12-11T03:40:15.253660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:15.383659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 5073
100.0%

업종구분명
Text

MISSING 

Distinct444
Distinct (%)13.1%
Missing1681
Missing (%)33.1%
Memory size39.8 KiB
2023-12-11T03:40:15.842139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length11.025059
Min length2

Characters and Unicode

Total characters37397
Distinct characters299
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

Unique199 ?
Unique (%)5.9%

Sample

1st row부동산 임대업
2nd row치과 병원
3rd row비거주용 건물 건설업
4th row금융업
5th row금융업
ValueCountFrequency (%)
제조업 1630
 
15.8%
기타 1097
 
10.7%
901
 
8.8%
조립금속제품 375
 
3.6%
자동차 358
 
3.5%
가공업 310
 
3.0%
염색 300
 
2.9%
수리업 289
 
2.8%
섬유 274
 
2.7%
도금업 274
 
2.7%
Other values (592) 4489
43.6%
2023-12-11T03:40:16.664092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6909
18.5%
3439
 
9.2%
2890
 
7.7%
2184
 
5.8%
1499
 
4.0%
1262
 
3.4%
1172
 
3.1%
1121
 
3.0%
970
 
2.6%
839
 
2.2%
Other values (289) 15112
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30313
81.1%
Space Separator 6909
 
18.5%
Other Punctuation 151
 
0.4%
Decimal Number 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
Other Punctuation
ValueCountFrequency (%)
, 139
92.1%
· 7
 
4.6%
; 5
 
3.3%
Space Separator
ValueCountFrequency (%)
6909
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30313
81.1%
Common 7084
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
Common
ValueCountFrequency (%)
6909
97.5%
, 139
 
2.0%
1 24
 
0.3%
· 7
 
0.1%
; 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30313
81.1%
ASCII 7077
 
18.9%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6909
97.6%
, 139
 
2.0%
1 24
 
0.3%
; 5
 
0.1%
Hangul
ValueCountFrequency (%)
3439
 
11.3%
2890
 
9.5%
2184
 
7.2%
1499
 
4.9%
1262
 
4.2%
1172
 
3.9%
1121
 
3.7%
970
 
3.2%
839
 
2.8%
799
 
2.6%
Other values (284) 14138
46.6%
None
ValueCountFrequency (%)
· 7
100.0%

종별명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
5종
2795 
4종
1633 
3종
 
220
2종
 
204
<NA>
 
175

Length

Max length4
Median length2
Mean length2.0689927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5종 2795
55.1%
4종 1633
32.2%
3종 220
 
4.3%
2종 204
 
4.0%
<NA> 175
 
3.4%
1종 46
 
0.9%

Length

2023-12-11T03:40:16.934351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:17.133133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 2795
55.1%
4종 1633
32.2%
3종 220
 
4.3%
2종 204
 
4.0%
na 175
 
3.4%
1종 46
 
0.9%

주생산품명
Text

MISSING 

Distinct923
Distinct (%)61.7%
Missing3577
Missing (%)70.5%
Memory size39.8 KiB
2023-12-11T03:40:17.602299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.9411765
Min length1

Characters and Unicode

Total characters8888
Distinct characters464
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

Unique745 ?
Unique (%)49.8%

Sample

1st row전력,온수
2nd row자동차부품
3rd row정비차량
4th row수리된 자동차
5th row자동차용 고무제품
ValueCountFrequency (%)
자동차부품 190
 
9.9%
자동차 40
 
2.1%
안경테 38
 
2.0%
36
 
1.9%
32
 
1.7%
전자부품 26
 
1.4%
부품 24
 
1.2%
기계부품 22
 
1.1%
가공원단 20
 
1.0%
고무시트 19
 
1.0%
Other values (954) 1476
76.8%
2023-12-11T03:40:18.376261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
 
6.2%
454
 
5.1%
427
 
4.8%
425
 
4.8%
372
 
4.2%
363
 
4.1%
180
 
2.0%
157
 
1.8%
, 140
 
1.6%
140
 
1.6%
Other values (454) 5676
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7776
87.5%
Space Separator 427
 
4.8%
Uppercase Letter 256
 
2.9%
Other Punctuation 155
 
1.7%
Lowercase Letter 119
 
1.3%
Close Punctuation 71
 
0.8%
Open Punctuation 71
 
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 (%)
554
 
7.1%
454
 
5.8%
425
 
5.5%
372
 
4.8%
363
 
4.7%
180
 
2.3%
157
 
2.0%
140
 
1.8%
130
 
1.7%
116
 
1.5%
Other values (395) 4885
62.8%
Uppercase Letter
ValueCountFrequency (%)
P 47
18.4%
E 37
14.5%
C 21
8.2%
L 20
7.8%
D 20
7.8%
T 15
 
5.9%
I 15
 
5.9%
O 14
 
5.5%
S 11
 
4.3%
R 10
 
3.9%
Other values (13) 46
18.0%
Lowercase Letter
ValueCountFrequency (%)
o 14
11.8%
r 11
9.2%
c 11
9.2%
f 11
9.2%
e 10
 
8.4%
i 9
 
7.6%
t 8
 
6.7%
a 7
 
5.9%
u 6
 
5.0%
l 6
 
5.0%
Other values (12) 26
21.8%
Decimal Number
ValueCountFrequency (%)
7 2
28.6%
2 2
28.6%
4 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 140
90.3%
. 11
 
7.1%
/ 3
 
1.9%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
427
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7776
87.5%
Common 737
 
8.3%
Latin 375
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
554
 
7.1%
454
 
5.8%
425
 
5.5%
372
 
4.8%
363
 
4.7%
180
 
2.3%
157
 
2.0%
140
 
1.8%
130
 
1.7%
116
 
1.5%
Other values (395) 4885
62.8%
Latin
ValueCountFrequency (%)
P 47
 
12.5%
E 37
 
9.9%
C 21
 
5.6%
L 20
 
5.3%
D 20
 
5.3%
T 15
 
4.0%
I 15
 
4.0%
o 14
 
3.7%
O 14
 
3.7%
r 11
 
2.9%
Other values (35) 161
42.9%
Common
ValueCountFrequency (%)
427
57.9%
, 140
 
19.0%
) 71
 
9.6%
( 71
 
9.6%
. 11
 
1.5%
- 5
 
0.7%
/ 3
 
0.4%
7 2
 
0.3%
2 2
 
0.3%
1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7776
87.5%
ASCII 1111
 
12.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
554
 
7.1%
454
 
5.8%
425
 
5.5%
372
 
4.8%
363
 
4.7%
180
 
2.3%
157
 
2.0%
140
 
1.8%
130
 
1.7%
116
 
1.5%
Other values (395) 4885
62.8%
ASCII
ValueCountFrequency (%)
427
38.4%
, 140
 
12.6%
) 71
 
6.4%
( 71
 
6.4%
P 47
 
4.2%
E 37
 
3.3%
C 21
 
1.9%
L 20
 
1.8%
D 20
 
1.8%
T 15
 
1.4%
Other values (48) 242
21.8%
None
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct37
Distinct (%)0.7%
Missing63
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean7.7177246
Minimum0
Maximum912
Zeros1527
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:18.642838image/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 deviation15.033505
Coefficient of variation (CV)1.9479194
Kurtosis2625.8203
Mean7.7177246
Median Absolute Deviation (MAD)3
Skewness44.381888
Sum38665.8
Variance226.00628
MonotonicityNot monotonic
2023-12-11T03:40:18.883189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 1978
39.0%
0.0 1527
30.1%
24.0 480
 
9.5%
10.0 297
 
5.9%
6.0 94
 
1.9%
12.0 86
 
1.7%
4.0 75
 
1.5%
5.0 67
 
1.3%
20.0 62
 
1.2%
7.0 59
 
1.2%
Other values (27) 285
 
5.6%
(Missing) 63
 
1.2%
ValueCountFrequency (%)
0.0 1527
30.1%
1.0 12
 
0.2%
1.3 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 75
 
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%
24.0 480
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)

MISSING  ZEROS 

Distinct99
Distinct (%)2.0%
Missing63
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean202.66088
Minimum0
Maximum365
Zeros1547
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:19.148121image/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 deviation139.09245
Coefficient of variation (CV)0.68633101
Kurtosis-1.402968
Mean202.66088
Median Absolute Deviation (MAD)0
Skewness-0.71242801
Sum1015331
Variance19346.708
MonotonicityNot monotonic
2023-12-11T03:40:19.419045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2712
53.5%
0 1547
30.5%
240 90
 
1.8%
365 68
 
1.3%
312 44
 
0.9%
250 43
 
0.8%
360 41
 
0.8%
264 38
 
0.7%
180 27
 
0.5%
330 27
 
0.5%
Other values (89) 373
 
7.4%
(Missing) 63
 
1.2%
ValueCountFrequency (%)
0 1547
30.5%
5 1
 
< 0.1%
8 2
 
< 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%
88 1
 
< 0.1%
ValueCountFrequency (%)
365 68
1.3%
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 15
 
0.3%
341 3
 
0.1%
340 19
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)0.7%
Missing454
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean7.3243776
Minimum0
Maximum300
Zeros1554
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:19.739424image/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 deviation10.656153
Coefficient of variation (CV)1.4548885
Kurtosis367.94228
Mean7.3243776
Median Absolute Deviation (MAD)4
Skewness14.678459
Sum33831.3
Variance113.55359
MonotonicityNot monotonic
2023-12-11T03:40:19.975082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8.0 1792
35.3%
0.0 1554
30.6%
24.0 408
 
8.0%
10.0 247
 
4.9%
6.0 82
 
1.6%
12.0 70
 
1.4%
4.0 63
 
1.2%
5.0 62
 
1.2%
7.0 55
 
1.1%
20.0 52
 
1.0%
Other values (24) 234
 
4.6%
(Missing) 454
 
8.9%
ValueCountFrequency (%)
0.0 1554
30.6%
1.0 10
 
0.2%
1.3 1
 
< 0.1%
2.0 16
 
0.3%
2.5 1
 
< 0.1%
3.0 19
 
0.4%
4.0 63
 
1.2%
5.0 62
 
1.2%
6.0 82
 
1.6%
7.0 55
 
1.1%
ValueCountFrequency (%)
300.0 2
 
< 0.1%
264.0 1
 
< 0.1%
240.0 1
 
< 0.1%
100.0 1
 
< 0.1%
30.0 2
 
< 0.1%
25.0 3
 
0.1%
24.0 408
8.0%
22.0 12
 
0.2%
21.0 9
 
0.2%
20.0 52
 
1.0%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)1.9%
Missing356
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean193.43057
Minimum0
Maximum365
Zeros1621
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T03:40:20.278642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3300
95-th percentile308.4
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation142.65893
Coefficient of variation (CV)0.73752007
Kurtosis-1.6015603
Mean193.43057
Median Absolute Deviation (MAD)0
Skewness-0.57596764
Sum912412
Variance20351.57
MonotonicityNot monotonic
2023-12-11T03:40:20.567052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2475
48.8%
0 1621
32.0%
240 79
 
1.6%
365 50
 
1.0%
312 43
 
0.8%
250 40
 
0.8%
360 34
 
0.7%
264 28
 
0.6%
330 26
 
0.5%
280 23
 
0.5%
Other values (78) 298
 
5.9%
(Missing) 356
 
7.0%
ValueCountFrequency (%)
0 1621
32.0%
4 1
 
< 0.1%
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%
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%
352 2
 
< 0.1%
350 15
 
0.3%
341 3
 
0.1%
340 17
 
0.3%

사업자등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5073
Missing (%)100.0%
Memory size44.7 KiB

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>7.01477.0147<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<NA>
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)41940경북대학교치과병원20211117141734I2021-11-19 00:22:44.0치과 병원344597.99926263844.348739대기배출업소관리치과 병원5종<NA>120.01204.0120<NA>
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><NA><NA>
45대기오염물질배출시설설치사업장09_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><NA><NA>300<NA>
56대기오염물질배출시설설치사업장09_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)20220510090447U2022-05-12 02:40:00.0금융업343787.134091264065.576741대기배출업소관리금융업4종<NA>6.0196<NA>0<NA>
67대기오염물질배출시설설치사업장09_30_08_P341000034100002120150000620151120<NA>1영업/정상11영업<NA><NA><NA><NA>053-251-6019<NA><NA>대구광역시 중구 남일동 138-3 국민은행대구지점대구광역시 중구 중앙대로 401, 국민은행대구지점 (남일동)41935(주)국민은행 대구지점20200810091933U2020-08-12 02:40:00.0<NA>343836.000284264353.542698대기배출업소관리<NA>5종<NA>10.0150<NA><NA><NA>
78대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001720151217<NA>1영업/정상11영업<NA><NA><NA><NA>0534288984<NA><NA><NA>대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)41913이지스티디에이치제32호사모부동사투자유한회사20201213124447U2020-12-15 02:40:00.0부동산 임대업344223.636477264597.611089대기배출업소관리부동산 임대업4종<NA>8.0300<NA><NA><NA>
89대기오염물질배출시설설치사업장09_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><NA>
910대기오염물질배출시설설치사업장09_30_08_P341000034100002120150001920151217<NA>1영업/정상11영업<NA><NA><NA><NA>0532579663<NA><NA><NA>대구광역시 중구 달성로 37 (대신동, 계성빌딩)41927(학)계성학원20201026163350U2020-10-28 02:40:00.0<NA>342795.702037264290.451468대기배출업소관리<NA>5종<NA>5.01505.0<NA><NA>
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