Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.4 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description충청북도 단양군 관내 일반화물 운송업체 현황으로 순번, 업체명, 사무실 주소, 운영여부(운영중, 휴업, 폐업), 데이터 기준일자 등 속성 목록을 가지는 데이터 입니다.
URLhttps://www.data.go.kr/data/15114852/fileData.do

Alerts

운영여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:26:29.503908
Analysis finished2023-12-12 10:26:30.338729
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:26:30.409720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T19:26:30.555221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

업체명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:26:30.798574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length7.3
Min length5

Characters and Unicode

Total characters219
Distinct characters78
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(유)청솔환경
2nd row(주)단양운수
3rd row(주)단영운송
4th row(주)대율운수
5th row(주)동원
ValueCountFrequency (%)
유)청솔환경 1
 
3.2%
주식회사 1
 
3.2%
흥국통운(주 1
 
3.2%
호성기업(주 1
 
3.2%
주식회사대일 1
 
3.2%
㈜대현기업 1
 
3.2%
좋은친구(주 1
 
3.2%
제일운수(합 1
 
3.2%
장흥특수운수(주 1
 
3.2%
우덕화물(주 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T19:26:31.230752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 27
 
12.3%
) 27
 
12.3%
주 27
 
12.3%
운 11
 
5.0%
수 7
 
3.2%
양 4
 
1.8%
에 4
 
1.8%
성 4
 
1.8%
송 4
 
1.8%
기 4
 
1.8%
Other values (68) 100
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
74.4%
Open Punctuation 27
 
12.3%
Close Punctuation 27
 
12.3%
Other Symbol 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
16.6%
운 11
 
6.7%
수 7
 
4.3%
양 4
 
2.5%
에 4
 
2.5%
성 4
 
2.5%
송 4
 
2.5%
기 4
 
2.5%
단 4
 
2.5%
엘 3
 
1.8%
Other values (64) 91
55.8%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
74.9%
Common 55
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
16.5%
운 11
 
6.7%
수 7
 
4.3%
양 4
 
2.4%
에 4
 
2.4%
성 4
 
2.4%
송 4
 
2.4%
기 4
 
2.4%
단 4
 
2.4%
엘 3
 
1.8%
Other values (65) 92
56.1%
Common
ValueCountFrequency (%)
( 27
49.1%
) 27
49.1%
1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
74.4%
ASCII 55
 
25.1%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 27
49.1%
) 27
49.1%
1
 
1.8%
Hangul
ValueCountFrequency (%)
주 27
 
16.6%
운 11
 
6.7%
수 7
 
4.3%
양 4
 
2.5%
에 4
 
2.5%
성 4
 
2.5%
송 4
 
2.5%
기 4
 
2.5%
단 4
 
2.5%
엘 3
 
1.8%
Other values (64) 91
55.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사무실 주소
Text

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:26:31.478482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length23.533333
Min length21

Characters and Unicode

Total characters706
Distinct characters49
Distinct categories4 ?
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 (%)50.0%

Sample

1st row충청북도 단양군 매포읍 평동리 353
2nd row충청북도 단양군 단양읍 상진리 731
3rd row충청북도 단양군 매포읍 우덕리 17-6
4th row충청북도 단양군 매포읍 하시리 145-5
5th row충청북도 단양군 매포읍 평동리 149-1
ValueCountFrequency (%)
충청북도 30
19.4%
단양군 30
19.4%
매포읍 28
18.1%
우덕리 13
8.4%
17-6 13
8.4%
평동리 11
 
7.1%
149-1 3
 
1.9%
하시리 3
 
1.9%
145-5 2
 
1.3%
단양물류기지관리센터 2
 
1.3%
Other values (20) 20
12.9%
2023-12-12T19:26:31.854831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
21.8%
단 33
 
4.7%
양 33
 
4.7%
1 33
 
4.7%
리 32
 
4.5%
충 30
 
4.2%
북 30
 
4.2%
도 30
 
4.2%
군 30
 
4.2%
청 30
 
4.2%
Other values (39) 271
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
58.9%
Space Separator 154
 
21.8%
Decimal Number 111
 
15.7%
Dash Punctuation 25
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 33
 
7.9%
양 33
 
7.9%
리 32
 
7.7%
충 30
 
7.2%
북 30
 
7.2%
도 30
 
7.2%
군 30
 
7.2%
청 30
 
7.2%
읍 29
 
7.0%
매 28
 
6.7%
Other values (27) 111
26.7%
Decimal Number
ValueCountFrequency (%)
1 33
29.7%
6 16
14.4%
7 16
14.4%
3 10
 
9.0%
4 8
 
7.2%
9 8
 
7.2%
2 7
 
6.3%
5 7
 
6.3%
0 5
 
4.5%
8 1
 
0.9%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
58.9%
Common 290
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 33
 
7.9%
양 33
 
7.9%
리 32
 
7.7%
충 30
 
7.2%
북 30
 
7.2%
도 30
 
7.2%
군 30
 
7.2%
청 30
 
7.2%
읍 29
 
7.0%
매 28
 
6.7%
Other values (27) 111
26.7%
Common
ValueCountFrequency (%)
154
53.1%
1 33
 
11.4%
- 25
 
8.6%
6 16
 
5.5%
7 16
 
5.5%
3 10
 
3.4%
4 8
 
2.8%
9 8
 
2.8%
2 7
 
2.4%
5 7
 
2.4%
Other values (2) 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
58.9%
ASCII 290
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
53.1%
1 33
 
11.4%
- 25
 
8.6%
6 16
 
5.5%
7 16
 
5.5%
3 10
 
3.4%
4 8
 
2.8%
9 8
 
2.8%
2 7
 
2.4%
5 7
 
2.4%
Other values (2) 6
 
2.1%
Hangul
ValueCountFrequency (%)
단 33
 
7.9%
양 33
 
7.9%
리 32
 
7.7%
충 30
 
7.2%
북 30
 
7.2%
도 30
 
7.2%
군 30
 
7.2%
청 30
 
7.2%
읍 29
 
7.0%
매 28
 
6.7%
Other values (27) 111
26.7%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
운영 중
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영 중
2nd row운영 중
3rd row운영 중
4th row운영 중
5th row운영 중

Common Values

ValueCountFrequency (%)
운영 중 30
100.0%

Length

2023-12-12T19:26:32.018718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:26:32.120385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 30
50.0%
중 30
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2023-12-12T19:26:32.240188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:32.349432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:26:29.681782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:26:32.422647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업체명사무실 주소
순번1.0001.0000.613
업체명1.0001.0001.000
사무실 주소0.6131.0001.000

Missing values

2023-12-12T19:26:30.178104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:26:30.302305image/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

순번업체명사무실 주소운영여부데이터기준일자
01(유)청솔환경충청북도 단양군 매포읍 평동리 353운영 중2023-06-19
12(주)단양운수충청북도 단양군 단양읍 상진리 731운영 중2023-06-19
23(주)단영운송충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
34(주)대율운수충청북도 단양군 매포읍 하시리 145-5운영 중2023-06-19
45(주)동원충청북도 단양군 매포읍 평동리 149-1운영 중2023-06-19
56(주)삼정지앤씨충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
67(주)성우티엘에스충청북도 단양군 매포읍 평동리 1104운영 중2023-06-19
78(주)신세계화물충청북도 단양군 매포읍 우덕리 17-6 단양물류기지관리센터 109호운영 중2023-06-19
89(주)유라시아운수충청북도 단양군 매포읍 우덕리 17-6 68-31번지운영 중2023-06-19
910(주)이안운송충청북도 단양군 매포읍 평동리 149-1운영 중2023-06-19
순번업체명사무실 주소운영여부데이터기준일자
2021성신엘엔에스(주)충청북도 단양군 매포읍 응실리 119운영 중2023-06-19
2122우덕화물(주)충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
2223장흥특수운수(주)충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
2324제일운수(합)충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
2425좋은친구(주)충청북도 단양군 매포읍 하시리 145-1운영 중2023-06-19
2526㈜대현기업충청북도 단양군 매포읍 평동리 393운영 중2023-06-19
2627주식회사대일충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
2728호성기업(주)충청북도 단양군 어상천면 석교리 276-1운영 중2023-06-19
2829흥국통운(주)충청북도 단양군 매포읍 우덕리 17-6운영 중2023-06-19
2930흥덕기업(주)충청북도 단양군 매포읍 평동리 209-3운영 중2023-06-19