Overview

Dataset statistics

Number of variables15
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory127.3 B

Variable types

DateTime3
Numeric4
Categorical6
Text1
Boolean1

Alerts

차량 소음 인덱스 has constant value ""Constant
조사구분 has constant value ""Constant
생성일 has constant value ""Constant
수정일 has constant value ""Constant
사용여부 has constant value ""Constant
차량 소음 값 is highly overall correlated with 조사시작일 and 3 other fieldsHigh correlation
조사지점 소음 값 is highly overall correlated with 조사지점 소음 인덱스High correlation
조사시작일 is highly overall correlated with 차량 소음 값 and 3 other fieldsHigh correlation
조사종료일 is highly overall correlated with 차량 소음 값 and 4 other fieldsHigh correlation
조사지점 소음 인덱스 is highly overall correlated with 조사지점 소음 값 and 1 other fieldsHigh correlation
사업코드 is highly overall correlated with 차량 소음 값 and 3 other fieldsHigh correlation
조사지점명 is highly overall correlated with 조사종료일High correlation
조사차수 is highly overall correlated with 차량 소음 값 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 12:36:54.763361
Analysis finished2023-12-10 12:36:58.112762
Duration3.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-01-03 00:00:00
Maximum2019-01-28 00:00:00
2023-12-10T21:36:58.193692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:58.349286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

차량 소음 값
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.43477
Minimum69.374906
Maximum69.462412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:36:58.524751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.374906
5-th percentile69.374906
Q169.435706
median69.439166
Q369.453178
95-th percentile69.462412
Maximum69.462412
Range0.087506167
Interquartile range (IQR)0.017472098

Descriptive statistics

Standard deviation0.025837236
Coefficient of variation (CV)0.00037210804
Kurtosis0.44044962
Mean69.43477
Median Absolute Deviation (MAD)0.0074275275
Skewness-1.1867104
Sum6943.477
Variance0.00066756276
MonotonicityNot monotonic
2023-12-10T21:36:58.708793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
69.43916552200065 40
40.0%
69.46241167371619 20
20.0%
69.38713265874391 11
 
11.0%
69.43570625163824 10
 
10.0%
69.37490550670113 6
 
6.0%
69.45317834982235 6
 
6.0%
69.4277697372707 4
 
4.0%
69.45387866142751 2
 
2.0%
69.45929254335941 1
 
1.0%
ValueCountFrequency (%)
69.37490550670113 6
 
6.0%
69.38713265874391 11
 
11.0%
69.4277697372707 4
 
4.0%
69.43570625163824 10
 
10.0%
69.43916552200065 40
40.0%
69.45317834982235 6
 
6.0%
69.45387866142751 2
 
2.0%
69.45929254335941 1
 
1.0%
69.46241167371619 20
20.0%
ValueCountFrequency (%)
69.46241167371619 20
20.0%
69.45929254335941 1
 
1.0%
69.45387866142751 2
 
2.0%
69.45317834982235 6
 
6.0%
69.43916552200065 40
40.0%
69.43570625163824 10
 
10.0%
69.4277697372707 4
 
4.0%
69.38713265874391 11
 
11.0%
69.37490550670113 6
 
6.0%

차량 소음 인덱스
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 100
100.0%

Length

2023-12-10T21:36:58.876399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:36:59.001074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 100
100.0%

조사지점 소음 값
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.401
Minimum36
Maximum62.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:36:59.156583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile37.855
Q142.475
median45.7
Q350.725
95-th percentile57.91
Maximum62.2
Range26.2
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation5.6642864
Coefficient of variation (CV)0.12207251
Kurtosis-0.14734741
Mean46.401
Median Absolute Deviation (MAD)3.8
Skewness0.38231663
Sum4640.1
Variance32.08414
MonotonicityNot monotonic
2023-12-10T21:36:59.409878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.9 4
 
4.0%
44.0 3
 
3.0%
40.0 3
 
3.0%
46.8 3
 
3.0%
49.1 3
 
3.0%
36.0 3
 
3.0%
43.6 3
 
3.0%
45.7 2
 
2.0%
51.0 2
 
2.0%
37.9 2
 
2.0%
Other values (61) 72
72.0%
ValueCountFrequency (%)
36.0 3
3.0%
37.0 2
2.0%
37.9 2
2.0%
38.6 1
 
1.0%
39.0 1
 
1.0%
39.2 2
2.0%
40.0 3
3.0%
40.5 1
 
1.0%
40.6 1
 
1.0%
41.0 1
 
1.0%
ValueCountFrequency (%)
62.2 1
1.0%
59.2 1
1.0%
58.4 1
1.0%
58.1 2
2.0%
57.9 1
1.0%
55.3 1
1.0%
54.4 1
1.0%
54.1 1
1.0%
53.7 1
1.0%
53.4 1
1.0%

조사지점 소음 인덱스
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
73 
1
20 
2
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 73
73.0%
1 20
 
20.0%
2 6
 
6.0%
3 1
 
1.0%

Length

2023-12-10T21:36:59.621249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:36:59.913249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 73
73.0%
1 20
 
20.0%
2 6
 
6.0%
3 1
 
1.0%

사업코드
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ND2007N001
12 
ME2013C016
12 
GG2009B011
12 
WJ2004A004
11 
ND2014B005
10 
Other values (9)
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowWJ2004A004
2nd rowWJ2004A004
3rd rowWJ2004A004
4th rowWJ2004A004
5th rowWJ2004A004

Common Values

ValueCountFrequency (%)
ND2007N001 12
12.0%
ME2013C016 12
12.0%
GG2009B011 12
12.0%
WJ2004A004 11
11.0%
ND2014B005 10
10.0%
GG2015O003 8
8.0%
HG2012A004 6
6.0%
HG2014B001 6
6.0%
ND2014B012 6
6.0%
GG2015O005 6
6.0%
Other values (4) 11
11.0%

Length

2023-12-10T21:37:00.075910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nd2007n001 12
12.0%
me2013c016 12
12.0%
gg2009b011 12
12.0%
wj2004a004 11
11.0%
nd2014b005 10
10.0%
gg2015o003 8
8.0%
hg2012a004 6
6.0%
hg2014b001 6
6.0%
nd2014b012 6
6.0%
gg2015o005 6
6.0%
Other values (4) 11
11.0%

조사구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
IV20
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIV20
2nd rowIV20
3rd rowIV20
4th rowIV20
5th rowIV20

Common Values

ValueCountFrequency (%)
IV20 100
100.0%

Length

2023-12-10T21:37:00.250270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:37:00.395340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
iv20 100
100.0%

조사지점명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
NV-2
19 
NV-1
19 
NV-3
18 
NV-4
12 
NV-5
10 
Other values (11)
22 

Length

Max length12
Median length4
Mean length4.11
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st rowNV-5
2nd rowNV-2
3rd rowNV-3
4th rowNV-1
5th rowNV-3

Common Values

ValueCountFrequency (%)
NV-2 19
19.0%
NV-1 19
19.0%
NV-3 18
18.0%
NV-4 12
12.0%
NV-5 10
10.0%
NV-6 5
 
5.0%
NV-1(관광휴양시설) 2
 
2.0%
N-6 2
 
2.0%
N-5 2
 
2.0%
N-3 2
 
2.0%
Other values (6) 9
9.0%

Length

2023-12-10T21:37:00.649120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nv-2 19
19.0%
nv-1 19
19.0%
nv-3 18
18.0%
nv-4 12
12.0%
nv-5 10
10.0%
nv-6 5
 
5.0%
nv-1(관광휴양시설 2
 
2.0%
n-6 2
 
2.0%
n-5 2
 
2.0%
n-3 2
 
2.0%
Other values (6) 9
9.0%

조사지점 주소
Text

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:37:01.005956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25.5
Mean length19.4
Min length2

Characters and Unicode

Total characters1940
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row충주시 대소원면 검단리 하검단
2nd row충주시 대소원면 한국교통대학교 정문
3rd row충주시 대소원면 검단리 상검단
4th row충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]
5th row충주시 대소원면 검단리 상검단
ValueCountFrequency (%)
거창군 12
 
3.0%
강동면 12
 
3.0%
경상남도 12
 
3.0%
강릉시 12
 
3.0%
충청남도 12
 
3.0%
당진시 12
 
3.0%
송산면 12
 
3.0%
충주시 11
 
2.8%
대소원면 11
 
2.8%
신원면 10
 
2.5%
Other values (110) 283
70.9%
2023-12-10T21:37:01.681883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
 
17.2%
시 66
 
3.4%
면 63
 
3.2%
1 55
 
2.8%
리 44
 
2.3%
도 40
 
2.1%
강 34
 
1.8%
청 32
 
1.6%
- 32
 
1.6%
원 31
 
1.6%
Other values (144) 1210
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1280
66.0%
Space Separator 333
 
17.2%
Decimal Number 237
 
12.2%
Dash Punctuation 32
 
1.6%
Close Punctuation 25
 
1.3%
Open Punctuation 23
 
1.2%
Uppercase Letter 8
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 66
 
5.2%
면 63
 
4.9%
리 44
 
3.4%
도 40
 
3.1%
강 34
 
2.7%
청 32
 
2.5%
원 31
 
2.4%
산 31
 
2.4%
충 29
 
2.3%
동 27
 
2.1%
Other values (123) 883
69.0%
Decimal Number
ValueCountFrequency (%)
1 55
23.2%
2 29
12.2%
8 29
12.2%
3 28
11.8%
0 25
10.5%
5 24
10.1%
4 14
 
5.9%
7 13
 
5.5%
9 12
 
5.1%
6 8
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
N 2
25.0%
H 2
25.0%
G 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 21
84.0%
] 4
 
16.0%
Open Punctuation
ValueCountFrequency (%)
( 21
91.3%
[ 2
 
8.7%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1280
66.0%
Common 652
33.6%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 66
 
5.2%
면 63
 
4.9%
리 44
 
3.4%
도 40
 
3.1%
강 34
 
2.7%
청 32
 
2.5%
원 31
 
2.4%
산 31
 
2.4%
충 29
 
2.3%
동 27
 
2.1%
Other values (123) 883
69.0%
Common
ValueCountFrequency (%)
333
51.1%
1 55
 
8.4%
- 32
 
4.9%
2 29
 
4.4%
8 29
 
4.4%
3 28
 
4.3%
0 25
 
3.8%
5 24
 
3.7%
) 21
 
3.2%
( 21
 
3.2%
Other values (7) 55
 
8.4%
Latin
ValueCountFrequency (%)
S 3
37.5%
N 2
25.0%
H 2
25.0%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1280
66.0%
ASCII 660
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
50.5%
1 55
 
8.3%
- 32
 
4.8%
2 29
 
4.4%
8 29
 
4.4%
3 28
 
4.2%
0 25
 
3.8%
5 24
 
3.6%
) 21
 
3.2%
( 21
 
3.2%
Other values (11) 63
 
9.5%
Hangul
ValueCountFrequency (%)
시 66
 
5.2%
면 63
 
4.9%
리 44
 
3.4%
도 40
 
3.1%
강 34
 
2.7%
청 32
 
2.5%
원 31
 
2.4%
산 31
 
2.4%
충 29
 
2.3%
동 27
 
2.1%
Other values (123) 883
69.0%

조사차수
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
야간4차
20 
주간4차
19 
주간3차
16 
야간3차
7 
야간
6 
Other values (8)
32 

Length

Max length11
Median length4
Mean length4.64
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간2차
2nd row야간2차
3rd row주간3차
4th row야간3차
5th row야간2차

Common Values

ValueCountFrequency (%)
야간4차 20
20.0%
주간4차 19
19.0%
주간3차 16
16.0%
야간3차 7
 
7.0%
야간 6
 
6.0%
주간 6
 
6.0%
야간12차 5
 
5.0%
주간12차 5
 
5.0%
야간2차 4
 
4.0%
2019_1월_주간 3
 
3.0%
Other values (3) 9
9.0%

Length

2023-12-10T21:37:01.916357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
야간4차 20
20.0%
주간4차 19
19.0%
주간3차 16
16.0%
야간3차 7
 
7.0%
야간 6
 
6.0%
주간 6
 
6.0%
야간12차 5
 
5.0%
주간12차 5
 
5.0%
야간2차 4
 
4.0%
2019_1월_주간 3
 
3.0%
Other values (3) 9
9.0%

조사시작일
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190112
Minimum20190103
Maximum20190128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:37:02.097482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190103
5-th percentile20190103
Q120190108
median20190109
Q320190115
95-th percentile20190122
Maximum20190128
Range25
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation6.3011543
Coefficient of variation (CV)3.1209111 × 10-7
Kurtosis-0.565016
Mean20190112
Median Absolute Deviation (MAD)1.5
Skewness0.74867763
Sum2.0190112 × 109
Variance39.704545
MonotonicityIncreasing
2023-12-10T21:37:02.251427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20190109 40
40.0%
20190122 20
20.0%
20190103 11
 
11.0%
20190108 10
 
10.0%
20190107 6
 
6.0%
20190115 6
 
6.0%
20190116 4
 
4.0%
20190114 2
 
2.0%
20190128 1
 
1.0%
ValueCountFrequency (%)
20190103 11
 
11.0%
20190107 6
 
6.0%
20190108 10
 
10.0%
20190109 40
40.0%
20190114 2
 
2.0%
20190115 6
 
6.0%
20190116 4
 
4.0%
20190122 20
20.0%
20190128 1
 
1.0%
ValueCountFrequency (%)
20190128 1
 
1.0%
20190122 20
20.0%
20190116 4
 
4.0%
20190115 6
 
6.0%
20190114 2
 
2.0%
20190109 40
40.0%
20190108 10
 
10.0%
20190107 6
 
6.0%
20190103 11
 
11.0%

조사종료일
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190121
Minimum20190104
Maximum20190308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:37:02.412136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190104
5-th percentile20190104
Q120190110
median20190110
Q320190118
95-th percentile20190123
Maximum20190308
Range204
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation38.967591
Coefficient of variation (CV)1.9300326 × 10-6
Kurtosis19.906074
Mean20190121
Median Absolute Deviation (MAD)3
Skewness4.5689197
Sum2.0190121 × 109
Variance1518.4731
MonotonicityNot monotonic
2023-12-10T21:37:02.897599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20190110 40
40.0%
20190123 20
20.0%
20190104 11
 
11.0%
20190107 6
 
6.0%
20190109 6
 
6.0%
20190116 6
 
6.0%
20190308 4
 
4.0%
20190117 4
 
4.0%
20190115 2
 
2.0%
20190128 1
 
1.0%
ValueCountFrequency (%)
20190104 11
 
11.0%
20190107 6
 
6.0%
20190109 6
 
6.0%
20190110 40
40.0%
20190115 2
 
2.0%
20190116 6
 
6.0%
20190117 4
 
4.0%
20190123 20
20.0%
20190128 1
 
1.0%
20190308 4
 
4.0%
ValueCountFrequency (%)
20190308 4
 
4.0%
20190128 1
 
1.0%
20190123 20
20.0%
20190117 4
 
4.0%
20190116 6
 
6.0%
20190115 2
 
2.0%
20190110 40
40.0%
20190109 6
 
6.0%
20190107 6
 
6.0%
20190104 11
 
11.0%

생성일
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-12-03 00:00:00
Maximum2019-12-03 00:00:00
2023-12-10T21:37:03.075456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:37:03.239257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수정일
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-12-03 00:00:00
Maximum2019-12-03 00:00:00
2023-12-10T21:37:03.389791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:37:03.526613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
100 
ValueCountFrequency (%)
True 100
100.0%
2023-12-10T21:37:03.650297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-10T21:36:57.076349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:55.539433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.027740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.549894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:57.204995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:55.656340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.159045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.668854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:57.338863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:55.773896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.277141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.810613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:57.466062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:55.894160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.405432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:36:56.927410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:37:03.745898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜차량 소음 값조사지점 소음 값조사지점 소음 인덱스사업코드조사지점명조사지점 주소조사차수조사시작일조사종료일
날짜1.0001.0000.3970.3681.0000.8171.0000.8451.0000.856
차량 소음 값1.0001.0000.4510.3651.0000.2841.0000.8460.8900.388
조사지점 소음 값0.3970.4511.0000.9800.6180.2070.6870.7150.1210.777
조사지점 소음 인덱스0.3680.3650.9801.0000.6720.4940.8910.6260.3440.867
사업코드1.0001.0000.6180.6721.0000.7951.0000.9001.0001.000
조사지점명0.8170.2840.2070.4940.7951.0000.9950.0000.8150.923
조사지점 주소1.0001.0000.6870.8911.0000.9951.0000.0001.0001.000
조사차수0.8450.8460.7150.6260.9000.0000.0001.0000.8650.561
조사시작일1.0000.8900.1210.3441.0000.8151.0000.8651.0000.962
조사종료일0.8560.3880.7770.8671.0000.9231.0000.5610.9621.000
2023-12-10T21:37:03.934510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사지점명조사차수조사지점 소음 인덱스사업코드
조사지점명1.0000.0000.2320.414
조사차수0.0001.0000.3980.608
조사지점 소음 인덱스0.2320.3981.0000.426
사업코드0.4140.6080.4261.000
2023-12-10T21:37:04.117096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량 소음 값조사지점 소음 값조사시작일조사종료일조사지점 소음 인덱스사업코드조사지점명조사차수
차량 소음 값1.000-0.1530.8960.7560.2390.9570.1260.606
조사지점 소음 값-0.1531.000-0.1610.0220.9200.3010.0620.387
조사시작일0.896-0.1611.0000.8420.1520.9620.4700.531
조사종료일0.7560.0220.8421.0000.5510.9420.7840.090
조사지점 소음 인덱스0.2390.9200.1520.5511.0000.4260.2320.398
사업코드0.9570.3010.9620.9420.4261.0000.4140.608
조사지점명0.1260.0620.4700.7840.2320.4141.0000.000
조사차수0.6060.3870.5310.0900.3980.6080.0001.000

Missing values

2023-12-10T21:36:57.686926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:36:57.996003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

날짜차량 소음 값차량 소음 인덱스조사지점 소음 값조사지점 소음 인덱스사업코드조사구분조사지점명조사지점 주소조사차수조사시작일조사종료일생성일수정일사용여부
02019-01-0369.387133441.90WJ2004A004IV20NV-5충주시 대소원면 검단리 하검단야간2차20190103201901042019-12-032019-12-03Y
12019-01-0369.387133442.40WJ2004A004IV20NV-2충주시 대소원면 한국교통대학교 정문야간2차20190103201901042019-12-032019-12-03Y
22019-01-0369.387133450.91WJ2004A004IV20NV-3충주시 대소원면 검단리 상검단주간3차20190103201901042019-12-032019-12-03Y
32019-01-0369.387133442.90WJ2004A004IV20NV-1충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]야간3차20190103201901042019-12-032019-12-03Y
42019-01-0369.387133441.90WJ2004A004IV20NV-3충주시 대소원면 검단리 상검단야간2차20190103201901042019-12-032019-12-03Y
52019-01-0369.387133449.00WJ2004A004IV20NV-5충주시 대소원면 검단리 하검단주간3차20190103201901042019-12-032019-12-03Y
62019-01-0369.387133462.23WJ2004A004IV20NV-6충주시 대소원면 한국교통대학교 공동실험관 층 옥상 (7 )주간3차20190103201901042019-12-032019-12-03Y
72019-01-0369.387133448.30WJ2004A004IV20NV-2충주시 대소원면 한국교통대학교 정문주간3차20190103201901042019-12-032019-12-03Y
82019-01-0369.387133449.10WJ2004A004IV20NV-1충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]주간3차20190103201901042019-12-032019-12-03Y
92019-01-0369.387133447.90WJ2004A004IV20NV-4충주시 대소원면 국원대교 건너편 상가주간3차20190103201901042019-12-032019-12-03Y
날짜차량 소음 값차량 소음 인덱스조사지점 소음 값조사지점 소음 인덱스사업코드조사구분조사지점명조사지점 주소조사차수조사시작일조사종료일생성일수정일사용여부
902019-01-2269.462412444.00GG2015O003IV20NV-2청소면 죽림리 530-1주간4차20190122201901232019-12-032019-12-03Y
912019-01-2269.462412436.00GG2015O003IV20NV-3청소면 신송리 388야간4차20190122201901232019-12-032019-12-03Y
922019-01-2269.462412441.00GG2015O003IV20NV-4천북면 신죽리 809(축사)야간4차20190122201901232019-12-032019-12-03Y
932019-01-2269.462412445.70GG2009B011IV20N-1충청남도 당진시 송산면 가곡리 373-20번지야간20190122201901232019-12-032019-12-03Y
942019-01-2269.462412449.50GG2009B011IV20N-1충청남도 당진시 송산면 가곡리 373-20번지주간20190122201901232019-12-032019-12-03Y
952019-01-2269.462412442.20GG2009B011IV20N-2충청남도 당진시 송산면 가곡리 172번지야간20190122201901232019-12-032019-12-03Y
962019-01-2269.462412444.80GG2009B011IV20N-2충청남도 당진시 송산면 가곡리 172번지주간20190122201901232019-12-032019-12-03Y
972019-01-2269.462412439.00GG2015O003IV20NV-1천북면 신죽리 50-2야간4차20190122201901232019-12-032019-12-03Y
982019-01-2269.462412444.00GG2015O003IV20NV-1천북면 신죽리 50-2주간4차20190122201901232019-12-032019-12-03Y
992019-01-2869.459293445.90YS2016D001IV20NV'-2여수시 여수산단로 1082 GS칼텍스 장구미사택야간4차20190128201901282019-12-032019-12-03Y