Overview

Dataset statistics

Number of variables14
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory114.3 B

Variable types

Categorical8
DateTime2
Text4

Alerts

구분1 has constant value ""Constant
구분2 has constant value ""Constant
생성날짜 has constant value ""Constant
차종 is highly overall correlated with 사용연료 and 2 other fieldsHigh correlation
사용연료 is highly overall correlated with 차종 and 1 other fieldsHigh correlation
배출허용기준 is highly overall correlated with 소음허용기준High correlation
소음허용기준 is highly overall correlated with 차종 and 1 other fieldsHigh correlation
업체명 is highly overall correlated with 차종 and 1 other fieldsHigh correlation
배출허용기준 is highly imbalanced (76.3%)Imbalance
소음허용기준 is highly imbalanced (63.4%)Imbalance

Reproduction

Analysis started2023-12-10 12:30:01.211656
Analysis finished2023-12-10 12:30:04.009043
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

차종
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
승용1
40 
화물2
17 
화물3
10 
승용(소형)
승용3
Other values (7)
18 

Length

Max length6
Median length3
Mean length3.18
Min length2

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row이륜
2nd row승용1
3rd row화물2
4th row승용1
5th row화물2

Common Values

ValueCountFrequency (%)
승용1 40
40.0%
화물2 17
17.0%
화물3 10
 
10.0%
승용(소형) 9
 
9.0%
승용3 6
 
6.0%
이륜 5
 
5.0%
중량 5
 
5.0%
승용 4
 
4.0%
소형화물 1
 
1.0%
경자동차 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T21:30:04.223180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용1 40
40.0%
화물2 17
17.0%
화물3 10
 
10.0%
승용(소형 9
 
9.0%
승용3 6
 
6.0%
이륜 5
 
5.0%
중량 5
 
5.0%
승용 4
 
4.0%
소형화물 1
 
1.0%
경자동차 1
 
1.0%
Other values (2) 2
 
2.0%
Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2000-01-18 00:00:00
Maximum2015-07-23 00:00:00
2023-12-10T21:30:04.469166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:30:04.750996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:30:05.136991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.3
Min length1

Characters and Unicode

Total characters930
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)37.0%

Sample

1st rowYMY-HS-01
2nd row2MY-HD-07
3rd row4MY-KM-06
4th row3MY-SY-01
5th row4MY-KM-06
ValueCountFrequency (%)
ymy-hd-09 6
 
6.0%
3my-sy-08 4
 
4.0%
emy-sy-14-39 4
 
4.0%
ymy-hd-41 4
 
4.0%
ymy-dj-15 4
 
4.0%
3my-db-01 4
 
4.0%
3my-sy-10 3
 
3.0%
ymy-hd-37 3
 
3.0%
2my-hd-07 3
 
3.0%
fmy-sy-14-12 3
 
3.0%
Other values (49) 62
62.0%
2023-12-10T21:30:05.929226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 211
22.7%
Y 152
16.3%
M 109
11.7%
D 64
 
6.9%
1 57
 
6.1%
0 55
 
5.9%
3 51
 
5.5%
H 42
 
4.5%
4 34
 
3.7%
S 26
 
2.8%
Other values (17) 129
13.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 439
47.2%
Decimal Number 279
30.0%
Dash Punctuation 211
22.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 152
34.6%
M 109
24.8%
D 64
14.6%
H 42
 
9.6%
S 26
 
5.9%
W 9
 
2.1%
K 9
 
2.1%
J 8
 
1.8%
F 5
 
1.1%
E 5
 
1.1%
Other values (5) 10
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 57
20.4%
0 55
19.7%
3 51
18.3%
4 34
12.2%
2 23
8.2%
5 17
 
6.1%
9 15
 
5.4%
6 12
 
4.3%
8 8
 
2.9%
7 7
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 491
52.8%
Latin 439
47.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 152
34.6%
M 109
24.8%
D 64
14.6%
H 42
 
9.6%
S 26
 
5.9%
W 9
 
2.1%
K 9
 
2.1%
J 8
 
1.8%
F 5
 
1.1%
E 5
 
1.1%
Other values (5) 10
 
2.3%
Common
ValueCountFrequency (%)
- 211
43.0%
1 57
 
11.6%
0 55
 
11.2%
3 51
 
10.4%
4 34
 
6.9%
2 23
 
4.7%
5 17
 
3.5%
9 15
 
3.1%
6 12
 
2.4%
8 8
 
1.6%
Other values (2) 8
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 211
22.7%
Y 152
16.3%
M 109
11.7%
D 64
 
6.9%
1 57
 
6.1%
0 55
 
5.9%
3 51
 
5.5%
H 42
 
4.5%
4 34
 
3.7%
S 26
 
2.8%
Other values (17) 129
13.9%

사용연료
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경유(Diesel)
51 
휘발유(Gasoline)
40 
압축천연가스(CNG)
 
5
액화석유가스(LPG)
 
4

Length

Max length13
Median length10
Mean length11.29
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휘발유(Gasoline)
2nd row휘발유(Gasoline)
3rd row경유(Diesel)
4th row경유(Diesel)
5th row경유(Diesel)

Common Values

ValueCountFrequency (%)
경유(Diesel) 51
51.0%
휘발유(Gasoline) 40
40.0%
압축천연가스(CNG) 5
 
5.0%
액화석유가스(LPG) 4
 
4.0%

Length

2023-12-10T21:30:06.206066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:06.428713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경유(diesel 51
51.0%
휘발유(gasoline 40
40.0%
압축천연가스(cng 5
 
5.0%
액화석유가스(lpg 4
 
4.0%

구분1
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출 100
100.0%

Length

2023-12-10T21:30:06.619365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:06.749823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출 100
100.0%

구분2
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소음 100
100.0%

Length

2023-12-10T21:30:06.909451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:07.094694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소음 100
100.0%

배출허용기준
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
93 
2014년 9월 기준
 
3
2016년 기준2
 
2
2013년 기준2
 
2

Length

Max length11
Median length1
Mean length1.62
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 93
93.0%
2014년 9월 기준 3
 
3.0%
2016년 기준2 2
 
2.0%
2013년 기준2 2
 
2.0%

Length

2023-12-10T21:30:07.240632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:07.406097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
93
84.5%
기준2 4
 
3.6%
2014년 3
 
2.7%
9월 3
 
2.7%
기준 3
 
2.7%
2016년 2
 
1.8%
2013년 2
 
1.8%

소음허용기준
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
93 
2006년 기준
 
7

Length

Max length8
Median length1
Mean length1.49
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 93
93.0%
2006년 기준 7
 
7.0%

Length

2023-12-10T21:30:07.648022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:07.825559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
93
86.9%
2006년 7
 
6.5%
기준 7
 
6.5%
Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2001-12-28 00:00:00
Maximum2015-07-23 00:00:00
2023-12-10T21:30:08.055516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:30:08.253325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:30:08.612989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.31
Min length1

Characters and Unicode

Total characters931
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)38.0%

Sample

1st row2HS-MC-10
2nd row2HD-GS-96
3rd row4KM-DS-06
4th row3MD-SY-01
5th row4KM-DS-06
ValueCountFrequency (%)
2hd-gs-05 6
 
6.0%
3db-ds-01 4
 
4.0%
2hd-gs-06 4
 
4.0%
2dc-ds-13 4
 
4.0%
3md-sy-05 4
 
4.0%
esy-gs-14-39 4
 
4.0%
fsy-ds-14-12 3
 
3.0%
3sd-sy-07 3
 
3.0%
2hd-gs-03 3
 
3.0%
4km-ds-06 3
 
3.0%
Other values (50) 62
62.0%
2023-12-10T21:30:09.229932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 211
22.7%
D 122
13.1%
S 111
11.9%
2 60
 
6.4%
3 58
 
6.2%
0 53
 
5.7%
1 50
 
5.4%
H 41
 
4.4%
G 33
 
3.5%
6 25
 
2.7%
Other values (18) 167
17.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 406
43.6%
Decimal Number 313
33.6%
Dash Punctuation 211
22.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 122
30.0%
S 111
27.3%
H 41
 
10.1%
G 33
 
8.1%
Y 22
 
5.4%
M 21
 
5.2%
C 14
 
3.4%
K 9
 
2.2%
W 9
 
2.2%
E 5
 
1.2%
Other values (6) 19
 
4.7%
Decimal Number
ValueCountFrequency (%)
2 60
19.2%
3 58
18.5%
0 53
16.9%
1 50
16.0%
6 25
8.0%
4 24
 
7.7%
5 18
 
5.8%
9 11
 
3.5%
7 10
 
3.2%
8 4
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 525
56.4%
Latin 406
43.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 122
30.0%
S 111
27.3%
H 41
 
10.1%
G 33
 
8.1%
Y 22
 
5.4%
M 21
 
5.2%
C 14
 
3.4%
K 9
 
2.2%
W 9
 
2.2%
E 5
 
1.2%
Other values (6) 19
 
4.7%
Common
ValueCountFrequency (%)
- 211
40.2%
2 60
 
11.4%
3 58
 
11.0%
0 53
 
10.1%
1 50
 
9.5%
6 25
 
4.8%
4 24
 
4.6%
5 18
 
3.4%
9 11
 
2.1%
7 10
 
1.9%
Other values (2) 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 211
22.7%
D 122
13.1%
S 111
11.9%
2 60
 
6.4%
3 58
 
6.2%
0 53
 
5.7%
1 50
 
5.4%
H 41
 
4.4%
G 33
 
3.5%
6 25
 
2.7%
Other values (18) 167
17.9%

업체명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
현대자동차(주)
39 
쌍용자동차(주)
22 
타타대우상용차(주)
11 
기아자동차(주)
한국지엠(주)
Other values (5)
10 

Length

Max length10
Median length8
Mean length8.28
Min length7

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row효성기계공업(주)
2nd row현대자동차(주)
3rd row기아자동차(주)
4th row쌍용자동차(주)
5th row기아자동차(주)

Common Values

ValueCountFrequency (%)
현대자동차(주) 39
39.0%
쌍용자동차(주) 22
22.0%
타타대우상용차(주) 11
 
11.0%
기아자동차(주) 9
 
9.0%
한국지엠(주) 9
 
9.0%
자일대우상용차(주) 4
 
4.0%
효성기계공업(주) 3
 
3.0%
대림오토바이(주) 1
 
1.0%
르노삼성자동차(주) 1
 
1.0%
케이알모터스(주) 1
 
1.0%

Length

2023-12-10T21:30:09.490423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:09.743268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현대자동차(주 39
39.0%
쌍용자동차(주 22
22.0%
타타대우상용차(주 11
 
11.0%
기아자동차(주 9
 
9.0%
한국지엠(주 9
 
9.0%
자일대우상용차(주 4
 
4.0%
효성기계공업(주 3
 
3.0%
대림오토바이(주 1
 
1.0%
르노삼성자동차(주 1
 
1.0%
케이알모터스(주 1
 
1.0%

차명
Text

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:30:10.202485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length12.45
Min length3

Characters and Unicode

Total characters1245
Distinct characters146
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)75.0%

Sample

1st rowMIRAGE
2nd row아반떼엑스디 2.0CVVT
3rd row봉고 1톤 장축 표준캡 자동4단
4th row렉스턴
5th row봉고 1톤 4×4 장축 수퍼캡 수동5
ValueCountFrequency (%)
베르나 9
 
3.6%
2wd 7
 
2.8%
티볼리 7
 
2.8%
at 6
 
2.4%
1.5dohc 5
 
2.0%
dohc 5
 
2.0%
a-eng 5
 
2.0%
렉스턴 5
 
2.0%
장축 5
 
2.0%
6mt 5
 
2.0%
Other values (119) 188
76.1%
2023-12-10T21:30:11.030332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
11.8%
. 56
 
4.5%
2 46
 
3.7%
1 37
 
3.0%
33
 
2.7%
C 29
 
2.3%
5 29
 
2.3%
D 27
 
2.2%
T 26
 
2.1%
24
 
1.9%
Other values (136) 791
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
42.7%
Uppercase Letter 273
21.9%
Decimal Number 187
 
15.0%
Space Separator 147
 
11.8%
Other Punctuation 56
 
4.5%
Lowercase Letter 32
 
2.6%
Dash Punctuation 15
 
1.2%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
6.2%
24
 
4.5%
21
 
3.9%
18
 
3.4%
16
 
3.0%
13
 
2.4%
12
 
2.3%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (93) 360
67.7%
Uppercase Letter
ValueCountFrequency (%)
C 29
10.6%
D 27
 
9.9%
T 26
 
9.5%
H 23
 
8.4%
M 22
 
8.1%
O 21
 
7.7%
A 16
 
5.9%
I 14
 
5.1%
S 13
 
4.8%
P 12
 
4.4%
Other values (9) 70
25.6%
Decimal Number
ValueCountFrequency (%)
2 46
24.6%
1 37
19.8%
5 29
15.5%
0 18
 
9.6%
6 14
 
7.5%
9 13
 
7.0%
4 10
 
5.3%
3 10
 
5.3%
8 6
 
3.2%
7 4
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
o 7
21.9%
α 6
18.8%
h 4
12.5%
r 4
12.5%
t 4
12.5%
n 3
9.4%
g 3
9.4%
β 1
 
3.1%
Space Separator
ValueCountFrequency (%)
147
100.0%
Other Punctuation
ValueCountFrequency (%)
. 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
42.7%
Common 408
32.8%
Latin 298
23.9%
Greek 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
6.2%
24
 
4.5%
21
 
3.9%
18
 
3.4%
16
 
3.0%
13
 
2.4%
12
 
2.3%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (93) 360
67.7%
Latin
ValueCountFrequency (%)
C 29
 
9.7%
D 27
 
9.1%
T 26
 
8.7%
H 23
 
7.7%
M 22
 
7.4%
O 21
 
7.0%
A 16
 
5.4%
I 14
 
4.7%
S 13
 
4.4%
P 12
 
4.0%
Other values (15) 95
31.9%
Common
ValueCountFrequency (%)
147
36.0%
. 56
 
13.7%
2 46
 
11.3%
1 37
 
9.1%
5 29
 
7.1%
0 18
 
4.4%
- 15
 
3.7%
6 14
 
3.4%
9 13
 
3.2%
4 10
 
2.5%
Other values (6) 23
 
5.6%
Greek
ValueCountFrequency (%)
α 6
85.7%
β 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 705
56.6%
Hangul 532
42.7%
None 8
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
20.9%
. 56
 
7.9%
2 46
 
6.5%
1 37
 
5.2%
C 29
 
4.1%
5 29
 
4.1%
D 27
 
3.8%
T 26
 
3.7%
H 23
 
3.3%
M 22
 
3.1%
Other values (30) 263
37.3%
Hangul
ValueCountFrequency (%)
33
 
6.2%
24
 
4.5%
21
 
3.9%
18
 
3.4%
16
 
3.0%
13
 
2.4%
12
 
2.3%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (93) 360
67.7%
None
ValueCountFrequency (%)
α 6
75.0%
× 1
 
12.5%
β 1
 
12.5%

형식
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:30:11.521480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.04
Min length1

Characters and Unicode

Total characters804
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st rowGV-250
2nd rowXD-20C5-M
3rd rowSES13B
4th rowY-4MB-7
5th rowSEK15A
ValueCountFrequency (%)
la69l 2
 
2.0%
x5d16m2l 2
 
2.0%
x5g16m2s 2
 
2.0%
kvya2 1
 
1.0%
1
 
1.0%
a1-25tci11l-a 1
 
1.0%
ld42-4cng 1
 
1.0%
la69k 1
 
1.0%
sr-25tcisel-a1 1
 
1.0%
ka484 1
 
1.0%
Other values (87) 87
87.0%
2023-12-10T21:30:12.343756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
 
12.4%
A 69
 
8.6%
1 66
 
8.2%
2 60
 
7.5%
5 43
 
5.3%
M 38
 
4.7%
C 36
 
4.5%
L 35
 
4.4%
4 25
 
3.1%
3 24
 
3.0%
Other values (26) 308
38.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 427
53.1%
Decimal Number 277
34.5%
Dash Punctuation 100
 
12.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 69
16.2%
M 38
 
8.9%
C 36
 
8.4%
L 35
 
8.2%
S 23
 
5.4%
D 23
 
5.4%
G 21
 
4.9%
T 21
 
4.9%
B 19
 
4.4%
F 18
 
4.2%
Other values (15) 124
29.0%
Decimal Number
ValueCountFrequency (%)
1 66
23.8%
2 60
21.7%
5 43
15.5%
4 25
 
9.0%
3 24
 
8.7%
6 20
 
7.2%
9 16
 
5.8%
7 10
 
3.6%
0 10
 
3.6%
8 3
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 427
53.1%
Common 377
46.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 69
16.2%
M 38
 
8.9%
C 36
 
8.4%
L 35
 
8.2%
S 23
 
5.4%
D 23
 
5.4%
G 21
 
4.9%
T 21
 
4.9%
B 19
 
4.4%
F 18
 
4.2%
Other values (15) 124
29.0%
Common
ValueCountFrequency (%)
- 100
26.5%
1 66
17.5%
2 60
15.9%
5 43
11.4%
4 25
 
6.6%
3 24
 
6.4%
6 20
 
5.3%
9 16
 
4.2%
7 10
 
2.7%
0 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
 
12.4%
A 69
 
8.6%
1 66
 
8.2%
2 60
 
7.5%
5 43
 
5.3%
M 38
 
4.7%
C 36
 
4.5%
L 35
 
4.4%
4 25
 
3.1%
3 24
 
3.0%
Other values (26) 308
38.3%

생성날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20191217
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20191217
2nd row20191217
3rd row20191217
4th row20191217
5th row20191217

Common Values

ValueCountFrequency (%)
20191217 100
100.0%

Length

2023-12-10T21:30:12.882735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:30:13.017623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20191217 100
100.0%

Correlations

2023-12-10T21:30:13.125017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차종배출인증일배출인증번호사용연료배출허용기준소음허용기준소음인증일소음인증번호업체명차명형식
차종1.0000.9830.9990.9160.7760.9470.9441.0000.8551.0001.000
배출인증일0.9831.0001.0000.9860.7070.9561.0001.0000.9781.0001.000
배출인증번호0.9991.0001.0000.9980.0000.9360.9991.0001.0000.9991.000
사용연료0.9160.9860.9981.0000.0000.1280.9841.0000.8121.0001.000
배출허용기준0.7760.7070.0000.0001.0000.8750.8450.0000.0000.9510.000
소음허용기준0.9470.9560.9360.1280.8751.0000.9870.9520.4320.8330.000
소음인증일0.9441.0000.9990.9840.8450.9871.0001.0000.9650.9991.000
소음인증번호1.0001.0001.0001.0000.0000.9521.0001.0001.0000.9991.000
업체명0.8550.9781.0000.8120.0000.4320.9651.0001.0001.0001.000
차명1.0001.0000.9991.0000.9510.8330.9990.9991.0001.0000.999
형식1.0001.0001.0001.0000.0000.0001.0001.0001.0000.9991.000
2023-12-10T21:30:13.325814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명배출허용기준차종사용연료소음허용기준
업체명1.0000.0000.5770.6200.316
배출허용기준0.0001.0000.4430.0000.672
차종0.5770.4431.0000.6200.767
사용연료0.6200.0000.6201.0000.082
소음허용기준0.3160.6720.7670.0821.000
2023-12-10T21:30:13.501352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차종사용연료배출허용기준소음허용기준업체명
차종1.0000.6200.4430.7670.577
사용연료0.6201.0000.0000.0820.620
배출허용기준0.4430.0001.0000.6720.000
소음허용기준0.7670.0820.6721.0000.316
업체명0.5770.6200.0000.3161.000

Missing values

2023-12-10T21:30:03.343779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:30:03.831924image/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

차종배출인증일배출인증번호사용연료구분1구분2배출허용기준소음허용기준소음인증일소음인증번호업체명차명형식생성날짜
0이륜2000/07/22YMY-HS-01휘발유(Gasoline)배출소음--2001/12/292HS-MC-10효성기계공업(주)MIRAGEGV-25020191217
1승용12002/08/082MY-HD-07휘발유(Gasoline)배출소음--2002/08/082HD-GS-96현대자동차(주)아반떼엑스디 2.0CVVTXD-20C5-M20191217
2화물22004/09/204MY-KM-06경유(Diesel)배출소음--2004/09/204KM-DS-06기아자동차(주)봉고 1톤 장축 표준캡 자동4단SES13B20191217
3승용12003/07/103MY-SY-01경유(Diesel)배출소음--2003/07/103MD-SY-01쌍용자동차(주)렉스턴Y-4MB-720191217
4화물22004/09/204MY-KM-06경유(Diesel)배출소음--2004/09/204KM-DS-06기아자동차(주)봉고 1톤 4×4 장축 수퍼캡 수동5SEK15A20191217
5이륜2002/07/222MY-DL-02휘발유(Gasoline)배출소음--2002/07/222DL-GS-11대림오토바이(주)CA110ECB420191217
6승용12002/08/082MY-HD-07휘발유(Gasoline)배출소음--2002/08/082HD-GS-96현대자동차(주)아반떼XD 2.0CVVTXD-20C4-A20191217
7화물32001/12/31YMY-DJ-16경유(Diesel)배출소음--2001/12/312DC-DS-12타타대우상용차(주)대우15톤암롤트럭M9AVFA20191217
8승용12003/05/193MY-DW-02액화석유가스(LPG)배출소음--2003/05/193DW-VP-02한국지엠(주)매그너스 2.0 LPGLA69S20191217
9화물22004/09/204MY-KM-06경유(Diesel)배출소음--2004/09/204KM-DS-06기아자동차(주)봉고 1톤 초장축 더블캡 자동4단SEE13A20191217
차종배출인증일배출인증번호사용연료구분1구분2배출허용기준소음허용기준소음인증일소음인증번호업체명차명형식생성날짜
90승용(소형)2014/11/24EMY-SY-14-39휘발유(Gasoline)배출소음2016년 기준2-2014/11/24ESY-GS-14-39쌍용자동차(주)티볼리 가솔린 AT 2WD ShortX5G16A2S20191217
91승용(소형)2014/11/24EMY-SY-14-39휘발유(Gasoline)배출소음2013년 기준2-2014/11/24ESY-GS-14-39쌍용자동차(주)티볼리 가솔린 MT 2WD ShortX5G16M2S20191217
92승용(소형)2014/11/24EMY-SY-14-39휘발유(Gasoline)배출소음2013년 기준22006년 기준2014/11/24ESY-GS-14-39쌍용자동차(주)티볼리 가솔린 MT 2WD ShortX5G16M2S20191217
93승용(소형)2015/04/22FMY-SY-14-12경유(Diesel)배출소음-2006년 기준2015/04/22FSY-DS-14-12쌍용자동차(주)티볼리 디젤 6MT 2WD LongX5D16M2L20191217
94승용(소형)2015/04/22FMY-SY-14-12경유(Diesel)배출소음2014년 9월 기준2006년 기준2015/04/22FSY-DS-14-12쌍용자동차(주)티볼리 디젤 6MT 2WD LongX5D16M2L20191217
95승용12005/02/23-경유(Diesel)배출소음--2005/02/233SY-DS-02쌍용자동차(주)렉스턴 DI 2.7 PT 수동R7DSP20191217
96승용12005/09/075MY-DW-13-36휘발유(Gasoline)배출소음--2005/09/075DW-GS-13-36한국지엠(주)라세티 1.6DOHC ATNA19620191217
97승용(소형)2015/07/23FMY-SY-14-35경유(Diesel)배출소음-2006년 기준2015/07/23FSY-DS-14-35쌍용자동차(주)렉스턴 디젤 2.2 6MT 2WD 7인승R7DL22M220191217
98화물(대형)2014/07/14EMY-DC-14-27경유(Diesel)배출소음2014년 9월 기준2006년 기준2014/07/14EDC-DS-14-27타타대우상용차(주)대우9.5톤극초장축저상카고트럭GL9AFY20191217
99승용(소형)2015/07/23FMY-SY-14-35경유(Diesel)배출소음2014년 9월 기준2006년 기준2015/07/23FSY-DS-14-35쌍용자동차(주)렉스턴 디젤 2.2 6MT 2WD 5인승R5DL22M220191217