Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory47.0 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description충청남도 청양군의 일반화물자동차운송사업자 업체 현황(업체명, 면허종류, 차량대수, 주소, 현재운영여부)등에 대한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=39&beforeMenuCd=DOM_000000201001001000&publicdatapk=15115861

Alerts

면허종류 has constant value ""Constant
현재운영여부 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:35:17.892721
Analysis finished2024-01-09 22:35:18.261734
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T07:35:18.376583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6
Min length3

Characters and Unicode

Total characters132
Distinct characters63
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row㈜청양유통
2nd row영로하스㈜
3rd row㈜칠성바이오
4th row나라환경㈜
5th row라이프특수㈜
ValueCountFrequency (%)
㈜청양유통 1
 
4.3%
청양산업㈜ 1
 
4.3%
진흥자동차공업사 1
 
4.3%
㈜에스제이로지스틱스 1
 
4.3%
그린엔특장㈜ 1
 
4.3%
㈜칠갑정비 1
 
4.3%
㈜수호 1
 
4.3%
㈜한성물류 1
 
4.3%
㈜정암로지스틱 1
 
4.3%
영티엔에스㈜ 1
 
4.3%
Other values (13) 13
56.5%
2024-01-10T07:35:18.675534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 20
 
15.2%
스 9
 
6.8%
수 6
 
4.5%
로 5
 
3.8%
양 4
 
3.0%
성 4
 
3.0%
지 4
 
3.0%
청 4
 
3.0%
특 4
 
3.0%
영 3
 
2.3%
Other values (53) 69
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
84.1%
Other Symbol 20
 
15.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 9
 
8.1%
수 6
 
5.4%
로 5
 
4.5%
양 4
 
3.6%
성 4
 
3.6%
지 4
 
3.6%
청 4
 
3.6%
특 4
 
3.6%
영 3
 
2.7%
운 3
 
2.7%
Other values (51) 65
58.6%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 20
 
15.3%
스 9
 
6.9%
수 6
 
4.6%
로 5
 
3.8%
양 4
 
3.1%
성 4
 
3.1%
지 4
 
3.1%
청 4
 
3.1%
특 4
 
3.1%
영 3
 
2.3%
Other values (52) 68
51.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
84.1%
None 20
 
15.2%
ASCII 1
 
0.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 20
100.0%
Hangul
ValueCountFrequency (%)
스 9
 
8.1%
수 6
 
5.4%
로 5
 
4.5%
양 4
 
3.6%
성 4
 
3.6%
지 4
 
3.6%
청 4
 
3.6%
특 4
 
3.6%
영 3
 
2.7%
운 3
 
2.7%
Other values (51) 65
58.6%
ASCII
ValueCountFrequency (%)
1
100.0%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
일반화물
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 22
100.0%

Length

2024-01-10T07:35:18.792119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:35:18.873156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 22
100.0%

차량대수
Real number (ℝ)

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.681818
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-10T07:35:18.954674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7.5
Q329
95-th percentile59.05
Maximum133
Range132
Interquartile range (IQR)24

Descriptive statistics

Standard deviation29.761571
Coefficient of variation (CV)1.439021
Kurtosis9.6752557
Mean20.681818
Median Absolute Deviation (MAD)5
Skewness2.8619188
Sum455
Variance885.75108
MonotonicityNot monotonic
2024-01-10T07:35:19.049500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7 2
 
9.1%
5 2
 
9.1%
3 2
 
9.1%
2 2
 
9.1%
6 2
 
9.1%
133 1
 
4.5%
34 1
 
4.5%
9 1
 
4.5%
60 1
 
4.5%
39 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
1 1
4.5%
2 2
9.1%
3 2
9.1%
5 2
9.1%
6 2
9.1%
7 2
9.1%
8 1
4.5%
9 1
4.5%
11 1
4.5%
19 1
4.5%
ValueCountFrequency (%)
133 1
4.5%
60 1
4.5%
41 1
4.5%
39 1
4.5%
34 1
4.5%
31 1
4.5%
23 1
4.5%
19 1
4.5%
11 1
4.5%
9 1
4.5%

주소
Text

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-10T07:35:19.223494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.818182
Min length16

Characters and Unicode

Total characters436
Distinct characters52
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)68.2%

Sample

1st row충남 청양군 비봉면 중묵운곡로 11
2nd row충남 청양군 청양읍 칠갑산로 148, 301호
3rd row충남 청양군 청양읍 칠갑산로1길 16
4th row충남 청양군 목면 충신문길 104
5th row충남 청양군 청양읍 칠갑산로 244
ValueCountFrequency (%)
충남 22
19.5%
청양군 22
19.5%
청양읍 13
 
11.5%
칠갑산로 7
 
6.2%
충절로 4
 
3.5%
1194 3
 
2.7%
148 3
 
2.7%
38 2
 
1.8%
비봉면 2
 
1.8%
장평면 2
 
1.8%
Other values (30) 33
29.2%
2024-01-10T07:35:19.503642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
20.9%
양 36
 
8.3%
청 35
 
8.0%
충 27
 
6.2%
1 25
 
5.7%
남 23
 
5.3%
군 22
 
5.0%
로 17
 
3.9%
읍 13
 
3.0%
4 13
 
3.0%
Other values (42) 134
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
58.9%
Space Separator 91
 
20.9%
Decimal Number 81
 
18.6%
Dash Punctuation 4
 
0.9%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 36
14.0%
청 35
13.6%
충 27
10.5%
남 23
 
8.9%
군 22
 
8.6%
로 17
 
6.6%
읍 13
 
5.1%
산 10
 
3.9%
칠 8
 
3.1%
갑 8
 
3.1%
Other values (29) 58
22.6%
Decimal Number
ValueCountFrequency (%)
1 25
30.9%
4 13
16.0%
3 10
 
12.3%
5 7
 
8.6%
6 6
 
7.4%
8 6
 
7.4%
0 5
 
6.2%
2 4
 
4.9%
9 4
 
4.9%
7 1
 
1.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
58.9%
Common 179
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 36
14.0%
청 35
13.6%
충 27
10.5%
남 23
 
8.9%
군 22
 
8.6%
로 17
 
6.6%
읍 13
 
5.1%
산 10
 
3.9%
칠 8
 
3.1%
갑 8
 
3.1%
Other values (29) 58
22.6%
Common
ValueCountFrequency (%)
91
50.8%
1 25
 
14.0%
4 13
 
7.3%
3 10
 
5.6%
5 7
 
3.9%
6 6
 
3.4%
8 6
 
3.4%
0 5
 
2.8%
- 4
 
2.2%
2 4
 
2.2%
Other values (3) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
58.9%
ASCII 179
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
50.8%
1 25
 
14.0%
4 13
 
7.3%
3 10
 
5.6%
5 7
 
3.9%
6 6
 
3.4%
8 6
 
3.4%
0 5
 
2.8%
- 4
 
2.2%
2 4
 
2.2%
Other values (3) 8
 
4.5%
Hangul
ValueCountFrequency (%)
양 36
14.0%
청 35
13.6%
충 27
10.5%
남 23
 
8.9%
군 22
 
8.6%
로 17
 
6.6%
읍 13
 
5.1%
산 10
 
3.9%
칠 8
 
3.1%
갑 8
 
3.1%
Other values (29) 58
22.6%

현재운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
여
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여 22
100.0%

Length

2024-01-10T07:35:19.620321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:35:19.704477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 22
100.0%

Interactions

2024-01-10T07:35:18.031307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:35:19.759271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명차량대수주소
업체명1.0001.0001.000
차량대수1.0001.0000.000
주소1.0000.0001.000

Missing values

2024-01-10T07:35:18.136687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:35:18.228988image/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

업체명면허종류차량대수주소현재운영여부
0㈜청양유통일반화물11충남 청양군 비봉면 중묵운곡로 11여
1영로하스㈜일반화물31충남 청양군 청양읍 칠갑산로 148, 301호여
2㈜칠성바이오일반화물5충남 청양군 청양읍 칠갑산로1길 16여
3나라환경㈜일반화물3충남 청양군 목면 충신문길 104여
4라이프특수㈜일반화물2충남 청양군 청양읍 칠갑산로 244여
5최상민일반화물8충남 청양군 비봉면 록평용당로 656-41여
6㈜운수대통일반화물6충남 청양군 정산면 덕성길 38여
7영훈특수화물㈜일반화물19충남 청양군 청양읍 충절로 1194여
8㈜성화운수 청양지점일반화물41충남 청양군 청양읍 충절로 1194여
9㈜충청로직스일반화물7충남 청양군 청양읍 칠갑산로 263여
업체명면허종류차량대수주소현재운영여부
12성연로지스㈜일반화물23충남 청양군 남양면 만수로 1586-1여
13영티엔에스㈜일반화물39충남 청양군 칠갑산로 148, 302호여
14㈜정암로지스틱일반화물60충남 청양군 정산면 덕성길 38여
15㈜한성물류일반화물7충남 청양군 청양읍 평촌1길 11-15여
16㈜수호일반화물6충남 청양군 장평면 항촌길 4여
17㈜칠갑정비일반화물5충남 청양군 청양읍 칠갑산로 343여
18그린엔특장㈜일반화물9충남 청양군 청양읍 충절로 1194여
19㈜에스제이로지스틱스일반화물34충남 청양군 장평면 까치내로 457여
20진흥자동차공업사일반화물2충남 청양군 청양읍 중앙로 6길 1여
21㈜대양특수운송일반화물3충남 청양군 청양읍 충절로 1355-59여