Overview

Dataset statistics

Number of variables17
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory145.3 B

Variable types

DateTime3
Numeric6
Categorical6
Text1
Boolean1

Alerts

차량 진동 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 진동 값(x) is highly overall correlated with 차량 진동 값(y) and 3 other fieldsHigh correlation
차량 진동 값(y) is highly overall correlated with 차량 진동 값(x) and 3 other fieldsHigh correlation
차량 진동 값(z) is highly overall correlated with 차량 진동 값(x) and 3 other fieldsHigh correlation
조사지점 진동 값 is highly overall correlated with 조사지점 진동 인덱스High correlation
조사시작일 is highly overall correlated with 조사종료일 and 2 other fieldsHigh correlation
조사종료일 is highly overall correlated with 조사시작일 and 2 other fieldsHigh correlation
조사지점 진동 인덱스 is highly overall correlated with 조사지점 진동 값 and 1 other fieldsHigh correlation
사업코드 is highly overall correlated with 차량 진동 값(x) and 6 other fieldsHigh correlation
조사지점명 is highly overall correlated with 조사종료일High correlation
조사차수 is highly overall correlated with 차량 진동 값(x) and 4 other fieldsHigh correlation

Reproduction

Analysis started2024-04-17 13:03:51.120173
Analysis finished2024-04-17 13:03:54.585981
Duration3.47 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
2024-04-17T22:03:54.623652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:54.698282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

차량 진동 값(x)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0041241768
Minimum-0.0051206313
Maximum-0.00098745297
Zeros0
Zeros (%)0.0%
Negative100
Negative (%)100.0%
Memory size1.0 KiB
2024-04-17T22:03:54.774767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0051206313
5-th percentile-0.0050104615
Q1-0.0048827058
median-0.0041000997
Q3-0.0038595708
95-th percentile-0.00098745297
Maximum-0.00098745297
Range0.0041331783
Interquartile range (IQR)0.001023135

Descriptive statistics

Standard deviation0.00098949858
Coefficient of variation (CV)-0.23992633
Kurtosis3.673748
Mean-0.0041241768
Median Absolute Deviation (MAD)0.00078260607
Skewness1.8102501
Sum-0.41241768
Variance9.7910744 × 10-7
MonotonicityNot monotonic
2024-04-17T22:03:54.857072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.0048827057951813 40
40.0%
-0.0038882331833789 20
20.0%
-0.0032532736638394 10
 
10.0%
-0.0038595707978436 10
 
10.0%
-0.0009874529697173 6
 
6.0%
-0.004100099729354 6
 
6.0%
-0.0050104614870591 4
 
4.0%
-0.0037039558815882 2
 
2.0%
-0.0051206313085242 2
 
2.0%
ValueCountFrequency (%)
-0.0051206313085242 2
 
2.0%
-0.0050104614870591 4
 
4.0%
-0.0048827057951813 40
40.0%
-0.004100099729354 6
 
6.0%
-0.0038882331833789 20
20.0%
-0.0038595707978436 10
 
10.0%
-0.0037039558815882 2
 
2.0%
-0.0032532736638394 10
 
10.0%
-0.0009874529697173 6
 
6.0%
ValueCountFrequency (%)
-0.0009874529697173 6
 
6.0%
-0.0032532736638394 10
 
10.0%
-0.0037039558815882 2
 
2.0%
-0.0038595707978436 10
 
10.0%
-0.0038882331833789 20
20.0%
-0.004100099729354 6
 
6.0%
-0.0048827057951813 40
40.0%
-0.0050104614870591 4
 
4.0%
-0.0051206313085242 2
 
2.0%

차량 진동 값(y)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0086456388
Minimum0.007823112
Maximum0.009527157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T22:03:54.931965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.007823112
5-th percentile0.007823112
Q10.0084018285
median0.008737948
Q30.008737948
95-th percentile0.0090626543
Maximum0.009527157
Range0.0017040449
Interquartile range (IQR)0.00033611949

Descriptive statistics

Standard deviation0.00032383901
Coefficient of variation (CV)0.037456921
Kurtosis2.2438794
Mean0.0086456388
Median Absolute Deviation (MAD)3.5255669 × 10-5
Skewness-0.10340366
Sum0.86456388
Variance1.048717 × 10-7
MonotonicityNot monotonic
2024-04-17T22:03:55.029210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0087379480337167 40
40.0%
0.0084018285404994 20
20.0%
0.0084839586343069 10
 
10.0%
0.0087117288176875 10
 
10.0%
0.0078231120428071 6
 
6.0%
0.0090626542505418 6
 
6.0%
0.0095271569559211 4
 
4.0%
0.008782240155602 2
 
2.0%
0.0090324051408034 2
 
2.0%
ValueCountFrequency (%)
0.0078231120428071 6
 
6.0%
0.0084018285404994 20
20.0%
0.0084839586343069 10
 
10.0%
0.0087117288176875 10
 
10.0%
0.0087379480337167 40
40.0%
0.008782240155602 2
 
2.0%
0.0090324051408034 2
 
2.0%
0.0090626542505418 6
 
6.0%
0.0095271569559211 4
 
4.0%
ValueCountFrequency (%)
0.0095271569559211 4
 
4.0%
0.0090626542505418 6
 
6.0%
0.0090324051408034 2
 
2.0%
0.008782240155602 2
 
2.0%
0.0087379480337167 40
40.0%
0.0087117288176875 10
 
10.0%
0.0084839586343069 10
 
10.0%
0.0084018285404994 20
20.0%
0.0078231120428071 6
 
6.0%

차량 진동 값(z)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24783176
Minimum0.2475269
Maximum0.24804643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T22:03:55.133387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2475269
5-th percentile0.24757271
Q10.24765169
median0.24781869
Q30.24804643
95-th percentile0.24804643
Maximum0.24804643
Range0.00051952711
Interquartile range (IQR)0.00039473934

Descriptive statistics

Standard deviation0.00021407146
Coefficient of variation (CV)0.00086377734
Kurtosis-1.9377816
Mean0.24783176
Median Absolute Deviation (MAD)0.00022773637
Skewness-0.057064233
Sum24.783176
Variance4.5826588 × 10-8
MonotonicityNot monotonic
2024-04-17T22:03:55.213342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.2480464250772268 40
40.0%
0.2476516857397893 20
20.0%
0.2475727103508044 10
 
10.0%
0.2476526418531748 10
 
10.0%
0.2476096241821408 6
 
6.0%
0.2480443194099313 6
 
6.0%
0.2475268979653579 4
 
4.0%
0.2479847355654152 2
 
2.0%
0.2480153790216842 2
 
2.0%
ValueCountFrequency (%)
0.2475268979653579 4
 
4.0%
0.2475727103508044 10
 
10.0%
0.2476096241821408 6
 
6.0%
0.2476516857397893 20
20.0%
0.2476526418531748 10
 
10.0%
0.2479847355654152 2
 
2.0%
0.2480153790216842 2
 
2.0%
0.2480443194099313 6
 
6.0%
0.2480464250772268 40
40.0%
ValueCountFrequency (%)
0.2480464250772268 40
40.0%
0.2480443194099313 6
 
6.0%
0.2480153790216842 2
 
2.0%
0.2479847355654152 2
 
2.0%
0.2476526418531748 10
 
10.0%
0.2476516857397893 20
20.0%
0.2476096241821408 6
 
6.0%
0.2475727103508044 10
 
10.0%
0.2475268979653579 4
 
4.0%

차량 진동 인덱스
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 100
100.0%

Length

2024-04-17T22:03:55.323561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:03:55.402481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 100
100.0%

조사지점 진동 값
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.139
Minimum11.8
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T22:03:55.487163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.8
5-th percentile13.09
Q117.925
median22
Q325.225
95-th percentile37.665
Maximum51
Range39.2
Interquartile range (IQR)7.3

Descriptive statistics

Standard deviation7.6747375
Coefficient of variation (CV)0.33167974
Kurtosis1.6573049
Mean23.139
Median Absolute Deviation (MAD)3.9
Skewness1.1668218
Sum2313.9
Variance58.901595
MonotonicityNot monotonic
2024-04-17T22:03:55.613786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.0 4
 
4.0%
23.0 3
 
3.0%
25.0 3
 
3.0%
16.0 2
 
2.0%
16.3 2
 
2.0%
18.0 2
 
2.0%
11.8 2
 
2.0%
24.9 2
 
2.0%
22.6 2
 
2.0%
22.5 2
 
2.0%
Other values (69) 76
76.0%
ValueCountFrequency (%)
11.8 2
2.0%
12.2 1
1.0%
12.8 1
1.0%
12.9 1
1.0%
13.1 1
1.0%
13.2 1
1.0%
13.6 1
1.0%
14.0 1
1.0%
14.3 2
2.0%
14.7 1
1.0%
ValueCountFrequency (%)
51.0 1
1.0%
46.0 1
1.0%
43.0 1
1.0%
40.0 1
1.0%
38.9 1
1.0%
37.6 1
1.0%
37.0 1
1.0%
36.2 1
1.0%
36.0 1
1.0%
34.8 1
1.0%

조사지점 진동 인덱스
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
49 
2
33 
4
14 
5
 
3
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 49
49.0%
2 33
33.0%
4 14
 
14.0%
5 3
 
3.0%
0 1
 
1.0%

Length

2024-04-17T22:03:55.726098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:03:55.799468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 49
49.0%
2 33
33.0%
4 14
 
14.0%
5 3
 
3.0%
0 1
 
1.0%

사업코드
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ME2013C016
12 
ND2007N001
12 
GG2009B011
12 
WJ2004A004
10 
ND2014B005
10 
Other values (9)
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ME2013C016 12
12.0%
ND2007N001 12
12.0%
GG2009B011 12
12.0%
WJ2004A004 10
10.0%
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) 12
12.0%

Length

2024-04-17T22:03:55.884502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
me2013c016 12
12.0%
nd2007n001 12
12.0%
gg2009b011 12
12.0%
wj2004a004 10
10.0%
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) 12
12.0%

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

2024-04-17T22:03:55.989803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:03:56.060419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
iv20 100
100.0%

조사지점명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
NV-1
19 
NV-2
19 
NV-3
18 
NV-4
12 
NV-5
10 
Other values (12)
22 

Length

Max length12
Median length4
Mean length4.12
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
NV-1 19
19.0%
NV-2 19
19.0%
NV-3 18
18.0%
NV-4 12
12.0%
NV-5 10
10.0%
NV-6 4
 
4.0%
NV-1(관광휴양시설) 2
 
2.0%
N-6 2
 
2.0%
N-5 2
 
2.0%
N-2 2
 
2.0%
Other values (7) 10
10.0%

Length

2024-04-17T22:03:56.350564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nv-1 19
19.0%
nv-2 19
19.0%
nv-3 18
18.0%
nv-4 12
12.0%
nv-5 10
10.0%
nv-6 4
 
4.0%
n-4 2
 
2.0%
n-3 2
 
2.0%
n-1 2
 
2.0%
n-5 2
 
2.0%
Other values (7) 10
10.0%

조사지점 주소
Text

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T22:03:56.516927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24.5
Mean length19.27
Min length2

Characters and Unicode

Total characters1927
Distinct characters151
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 국원대교 건너편 상가
2nd row충주시 대소원면 국원대교 건너편 상가
3rd row충주시 대소원면 검단리 하검단
4th row충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]
5th row충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]
ValueCountFrequency (%)
충청남도 12
 
3.0%
거창군 12
 
3.0%
당진시 12
 
3.0%
송산면 12
 
3.0%
강릉시 12
 
3.0%
강동면 12
 
3.0%
경상남도 12
 
3.0%
충주시 10
 
2.5%
신원면 10
 
2.5%
대소원면 10
 
2.5%
Other values (109) 281
71.1%
2024-04-17T22:03:56.822388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
 
17.1%
시 66
 
3.4%
면 62
 
3.2%
1 56
 
2.9%
리 44
 
2.3%
도 40
 
2.1%
강 34
 
1.8%
- 33
 
1.7%
청 32
 
1.7%
산 31
 
1.6%
Other values (141) 1200
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1269
65.9%
Space Separator 329
 
17.1%
Decimal Number 240
 
12.5%
Dash Punctuation 33
 
1.7%
Close Punctuation 24
 
1.2%
Open Punctuation 22
 
1.1%
Uppercase Letter 8
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 66
 
5.2%
면 62
 
4.9%
리 44
 
3.5%
도 40
 
3.2%
강 34
 
2.7%
청 32
 
2.5%
산 31
 
2.4%
원 30
 
2.4%
충 28
 
2.2%
길 27
 
2.1%
Other values (120) 875
69.0%
Decimal Number
ValueCountFrequency (%)
1 56
23.3%
8 30
12.5%
2 29
12.1%
3 28
11.7%
5 25
10.4%
0 25
10.4%
4 14
 
5.8%
7 13
 
5.4%
9 12
 
5.0%
6 8
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
H 2
25.0%
N 2
25.0%
G 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 20
83.3%
] 4
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 20
90.9%
[ 2
 
9.1%
Space Separator
ValueCountFrequency (%)
329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1269
65.9%
Common 650
33.7%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 66
 
5.2%
면 62
 
4.9%
리 44
 
3.5%
도 40
 
3.2%
강 34
 
2.7%
청 32
 
2.5%
산 31
 
2.4%
원 30
 
2.4%
충 28
 
2.2%
길 27
 
2.1%
Other values (120) 875
69.0%
Common
ValueCountFrequency (%)
329
50.6%
1 56
 
8.6%
- 33
 
5.1%
8 30
 
4.6%
2 29
 
4.5%
3 28
 
4.3%
5 25
 
3.8%
0 25
 
3.8%
) 20
 
3.1%
( 20
 
3.1%
Other values (7) 55
 
8.5%
Latin
ValueCountFrequency (%)
S 3
37.5%
H 2
25.0%
N 2
25.0%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1269
65.9%
ASCII 658
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
50.0%
1 56
 
8.5%
- 33
 
5.0%
8 30
 
4.6%
2 29
 
4.4%
3 28
 
4.3%
5 25
 
3.8%
0 25
 
3.8%
) 20
 
3.0%
( 20
 
3.0%
Other values (11) 63
 
9.6%
Hangul
ValueCountFrequency (%)
시 66
 
5.2%
면 62
 
4.9%
리 44
 
3.5%
도 40
 
3.2%
강 34
 
2.7%
청 32
 
2.5%
산 31
 
2.4%
원 30
 
2.4%
충 28
 
2.2%
길 27
 
2.1%
Other values (120) 875
69.0%

조사차수
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
야간4차
21 
주간4차
19 
주간3차
15 
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 row주간3차
2nd row야간2차
3rd row야간2차
4th row야간3차
5th row주간3차

Common Values

ValueCountFrequency (%)
야간4차 21
21.0%
주간4차 19
19.0%
주간3차 15
15.0%
야간3차 7
 
7.0%
야간 6
 
6.0%
주간 6
 
6.0%
주간12차 5
 
5.0%
야간12차 5
 
5.0%
야간2차 4
 
4.0%
2019_1월_야간 3
 
3.0%
Other values (3) 9
9.0%

Length

2024-04-17T22:03:56.928879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
야간4차 21
21.0%
주간4차 19
19.0%
주간3차 15
15.0%
야간3차 7
 
7.0%
야간 6
 
6.0%
주간 6
 
6.0%
주간12차 5
 
5.0%
야간12차 5
 
5.0%
야간2차 4
 
4.0%
2019_1월_야간 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
2024-04-17T22:03:57.005605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190103
5-th percentile20190103
Q120190108
median20190109
Q320190116
95-th percentile20190122
Maximum20190128
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.4487098
Coefficient of variation (CV)3.1939941 × 10-7
Kurtosis-0.51417507
Mean20190112
Median Absolute Deviation (MAD)1.5
Skewness0.77257777
Sum2.0190112 × 109
Variance41.585859
MonotonicityIncreasing
2024-04-17T22:03:57.090435image/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 10
 
10.0%
20190108 10
 
10.0%
20190107 6
 
6.0%
20190115 6
 
6.0%
20190116 4
 
4.0%
20190114 2
 
2.0%
20190128 2
 
2.0%
ValueCountFrequency (%)
20190103 10
 
10.0%
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 2
 
2.0%
ValueCountFrequency (%)
20190128 2
 
2.0%
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 10
 
10.0%

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
2024-04-17T22:03:57.175852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190104
5-th percentile20190104
Q120190110
median20190110
Q320190123
95-th percentile20190128
Maximum20190308
Range204
Interquartile range (IQR)13

Descriptive statistics

Standard deviation38.938589
Coefficient of variation (CV)1.9285962 × 10-6
Kurtosis19.857004
Mean20190121
Median Absolute Deviation (MAD)3
Skewness4.5611303
Sum2.0190121 × 109
Variance1516.2137
MonotonicityNot monotonic
2024-04-17T22:03:57.269245image/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 10
 
10.0%
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 2
 
2.0%
ValueCountFrequency (%)
20190104 10
 
10.0%
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 2
 
2.0%
20190308 4
 
4.0%
ValueCountFrequency (%)
20190308 4
 
4.0%
20190128 2
 
2.0%
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 10
 
10.0%

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
2024-04-17T22:03:57.354300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:57.425204image/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
2024-04-17T22:03:57.499397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:57.590348image/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%
2024-04-17T22:03:57.660276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-04-17T22:03:53.869765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:51.825169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.217561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.637475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.029434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.455242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.941390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:51.883729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.281453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.698122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.096624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.515646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:54.022530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:51.951338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.355141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.766946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.169839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.591948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:54.101152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.013017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.420739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.826939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.235403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.661901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:54.181164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.087780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.493698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.896178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.307679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.733059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:54.245075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.147160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.559350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:52.957784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.379977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:03:53.791610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T22:03:57.715579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜차량 진동 값(x)차량 진동 값(y)차량 진동 값(z)조사지점 진동 값조사지점 진동 인덱스사업코드조사지점명조사지점 주소조사차수조사시작일조사종료일
날짜1.0001.0001.0001.0000.3420.4791.0000.8221.0000.8481.0000.856
차량 진동 값(x)1.0001.0000.9540.9780.5890.6911.0000.4561.0000.8530.8970.374
차량 진동 값(y)1.0000.9541.0000.9440.5110.6091.0000.3961.0000.8670.9160.372
차량 진동 값(z)1.0000.9780.9441.0000.4580.5051.0000.7601.0000.8700.8570.142
조사지점 진동 값0.3420.5890.5110.4581.0001.0000.7090.0000.7610.3280.3670.000
조사지점 진동 인덱스0.4790.6910.6090.5051.0001.0000.8070.0000.7950.4000.3960.085
사업코드1.0001.0001.0001.0000.7090.8071.0000.7901.0000.9011.0001.000
조사지점명0.8220.4560.3960.7600.0000.0000.7901.0000.9990.0000.8160.925
조사지점 주소1.0001.0001.0001.0000.7610.7951.0000.9991.0000.0001.0001.000
조사차수0.8480.8530.8670.8700.3280.4000.9010.0000.0001.0000.8710.604
조사시작일1.0000.8970.9160.8570.3670.3961.0000.8161.0000.8711.0000.963
조사종료일0.8560.3740.3720.1420.0000.0851.0000.9251.0000.6040.9631.000
2024-04-17T22:03:57.838526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업코드조사지점 진동 인덱스조사차수조사지점명
사업코드1.0000.5580.6120.403
조사지점 진동 인덱스0.5581.0000.2170.000
조사차수0.6120.2171.0000.000
조사지점명0.4030.0000.0001.000
2024-04-17T22:03:57.917092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량 진동 값(x)차량 진동 값(y)차량 진동 값(z)조사지점 진동 값조사시작일조사종료일조사지점 진동 인덱스사업코드조사지점명조사차수
차량 진동 값(x)1.000-0.740-0.6700.080-0.408-0.2550.3220.9510.2350.650
차량 진동 값(y)-0.7401.0000.561-0.2520.1130.0490.2660.9510.1980.675
차량 진동 값(z)-0.6700.5611.0000.0100.045-0.0090.2070.9510.4870.679
조사지점 진동 값0.080-0.2520.0101.0000.1150.1640.9610.3720.0000.135
조사시작일-0.4080.1130.0450.1151.0000.8380.2640.9620.4610.538
조사종료일-0.2550.049-0.0090.1640.8381.0000.0350.9420.7770.188
조사지점 진동 인덱스0.3220.2660.2070.9610.2640.0351.0000.5580.0000.217
사업코드0.9510.9510.9510.3720.9620.9420.5581.0000.4030.612
조사지점명0.2350.1980.4870.0000.4610.7770.0000.4031.0000.000
조사차수0.6500.6750.6790.1350.5380.1880.2170.6120.0001.000

Missing values

2024-04-17T22:03:54.356031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T22:03:54.523229image/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 진동 값(x)차량 진동 값(y)차량 진동 값(z)차량 진동 인덱스조사지점 진동 값조사지점 진동 인덱스사업코드조사구분조사지점명조사지점 주소조사차수조사시작일조사종료일생성일수정일사용여부
02019-01-03-0.0032530.0084840.247573321.43WJ2004A004IV20NV-4충주시 대소원면 국원대교 건너편 상가주간3차20190103201901042019-12-032019-12-03Y
12019-01-03-0.0032530.0084840.247573319.62WJ2004A004IV20NV-4충주시 대소원면 국원대교 건너편 상가야간2차20190103201901042019-12-032019-12-03Y
22019-01-03-0.0032530.0084840.247573319.12WJ2004A004IV20NV-5충주시 대소원면 검단리 하검단야간2차20190103201901042019-12-032019-12-03Y
32019-01-03-0.0032530.0084840.247573320.43WJ2004A004IV20NV-1충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]야간3차20190103201901042019-12-032019-12-03Y
42019-01-03-0.0032530.0084840.247573324.73WJ2004A004IV20NV-1충주시 대소원면 한국교통대학교 화학생명관 구 제 공학관 [ ] 3 ]주간3차20190103201901042019-12-032019-12-03Y
52019-01-03-0.0032530.0084840.247573319.82WJ2004A004IV20NV-3충주시 대소원면 검단리 상검단야간2차20190103201901042019-12-032019-12-03Y
62019-01-03-0.0032530.0084840.247573321.93WJ2004A004IV20NV-3충주시 대소원면 검단리 상검단주간3차20190103201901042019-12-032019-12-03Y
72019-01-03-0.0032530.0084840.247573320.13WJ2004A004IV20NV-2충주시 대소원면 한국교통대학교 정문야간2차20190103201901042019-12-032019-12-03Y
82019-01-03-0.0032530.0084840.247573321.13WJ2004A004IV20NV-5충주시 대소원면 검단리 하검단주간3차20190103201901042019-12-032019-12-03Y
92019-01-03-0.0032530.0084840.247573325.03WJ2004A004IV20NV-2충주시 대소원면 한국교통대학교 정문주간3차20190103201901042019-12-032019-12-03Y
날짜차량 진동 값(x)차량 진동 값(y)차량 진동 값(z)차량 진동 인덱스조사지점 진동 값조사지점 진동 인덱스사업코드조사구분조사지점명조사지점 주소조사차수조사시작일조사종료일생성일수정일사용여부
902019-01-22-0.0038880.0084020.247652323.93GG2009B011IV20N-2충청남도 당진시 송산면 가곡리 172번지주간20190122201901232019-12-032019-12-03Y
912019-01-22-0.0038880.0084020.247652324.93GG2009B011IV20N-1충청남도 당진시 송산면 가곡리 373-20번지주간20190122201901232019-12-032019-12-03Y
922019-01-22-0.0038880.0084020.247652324.23GG2009B011IV20N-3충청남도 당진시 송산면 가곡리 365번지 앞야간20190122201901232019-12-032019-12-03Y
932019-01-22-0.0038880.0084020.247652331.94GG2009B011IV20N-4충청남도 당진시 송산면 유곡리 4반 회관 앞주간20190122201901232019-12-032019-12-03Y
942019-01-22-0.0038880.0084020.247652325.83GG2009B011IV20N-5충청남도 당진시 송산면 유곡리 경로당야간20190122201901232019-12-032019-12-03Y
952019-01-22-0.0038880.0084020.247652325.03GG2015O003IV20NV-1천북면 신죽리 50-2야간4차20190122201901232019-12-032019-12-03Y
962019-01-22-0.0038880.0084020.247652322.53GG2009B011IV20N-1충청남도 당진시 송산면 가곡리 373-20번지야간20190122201901232019-12-032019-12-03Y
972019-01-22-0.0038880.0084020.247652326.03GG2015O003IV20NV-1천북면 신죽리 50-2주간4차20190122201901232019-12-032019-12-03Y
982019-01-28-0.0051210.0090320.248015311.82YS2016D001IV20NV'-3여수시 상암8길 17-5 중촌경로당야간4차20190128201901282019-12-032019-12-03Y
992019-01-28-0.0051210.0090320.248015317.12YS2016D001IV20NV'-2여수시 여수산단로 1082 GS칼텍스 장구미사택야간4차20190128201901282019-12-032019-12-03Y