Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells2
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory891.0 B
Average record size in memory38.7 B

Variable types

Text3
Numeric1

Dataset

Description대구광역시 서구 관내에서 영업 중인 화물자동차 운송사업자 현황입니다. 업체명, 보유대수, 주소, 전화번호를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15114810/fileData.do

Alerts

전화번호 has 2 (8.7%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:20:03.472856
Analysis finished2023-12-12 01:20:03.967596
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T10:20:04.176811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6956522
Min length5

Characters and Unicode

Total characters154
Distinct characters57
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

Unique23 ?
Unique (%)100.0%

Sample

1st row신원기업㈜
2nd row(주)아성운수
3rd row공신운수㈜
4th row(주)화성항공물류
5th row(주)동양특수운수
ValueCountFrequency (%)
신원기업㈜ 1
 
4.2%
주)아성운수 1
 
4.2%
지산로지스(유 1
 
4.2%
㈜다인물류 1
 
4.2%
㈜대한운수 1
 
4.2%
대구지사 1
 
4.2%
㈜디아이티엘에스 1
 
4.2%
㈜앤트로지스 1
 
4.2%
㈜이든로지텍 1
 
4.2%
㈜삼성운수사 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T10:20:04.635507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 14
 
9.1%
( 9
 
5.8%
) 9
 
5.8%
주 8
 
5.2%
류 7
 
4.5%
지 7
 
4.5%
물 7
 
4.5%
운 7
 
4.5%
수 7
 
4.5%
스 6
 
3.9%
Other values (47) 73
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
78.6%
Other Symbol 14
 
9.1%
Open Punctuation 9
 
5.8%
Close Punctuation 9
 
5.8%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8
 
6.6%
류 7
 
5.8%
지 7
 
5.8%
물 7
 
5.8%
운 7
 
5.8%
수 7
 
5.8%
스 6
 
5.0%
로 5
 
4.1%
신 4
 
3.3%
대 4
 
3.3%
Other values (43) 59
48.8%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
87.7%
Common 19
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
10.4%
주 8
 
5.9%
류 7
 
5.2%
지 7
 
5.2%
물 7
 
5.2%
운 7
 
5.2%
수 7
 
5.2%
스 6
 
4.4%
로 5
 
3.7%
신 4
 
3.0%
Other values (44) 63
46.7%
Common
ValueCountFrequency (%)
( 9
47.4%
) 9
47.4%
1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
78.6%
ASCII 19
 
12.3%
None 14
 
9.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 14
100.0%
ASCII
ValueCountFrequency (%)
( 9
47.4%
) 9
47.4%
1
 
5.3%
Hangul
ValueCountFrequency (%)
주 8
 
6.6%
류 7
 
5.8%
지 7
 
5.8%
물 7
 
5.8%
운 7
 
5.8%
수 7
 
5.8%
스 6
 
5.0%
로 5
 
4.1%
신 4
 
3.3%
대 4
 
3.3%
Other values (43) 59
48.8%

보유대수
Real number (ℝ)

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.695652
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T10:20:04.780128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q336
95-th percentile59.1
Maximum95
Range94
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.029864
Coefficient of variation (CV)1.2094262
Kurtosis2.0103654
Mean20.695652
Median Absolute Deviation (MAD)7
Skewness1.4680772
Sum476
Variance626.49407
MonotonicityNot monotonic
2023-12-12T10:20:04.933005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 4
17.4%
2 3
13.0%
3 2
 
8.7%
5 1
 
4.3%
27 1
 
4.3%
41 1
 
4.3%
39 1
 
4.3%
95 1
 
4.3%
4 1
 
4.3%
33 1
 
4.3%
Other values (7) 7
30.4%
ValueCountFrequency (%)
1 4
17.4%
2 3
13.0%
3 2
8.7%
4 1
 
4.3%
5 1
 
4.3%
8 1
 
4.3%
10 1
 
4.3%
13 1
 
4.3%
26 1
 
4.3%
27 1
 
4.3%
ValueCountFrequency (%)
95 1
4.3%
60 1
4.3%
51 1
4.3%
48 1
4.3%
41 1
4.3%
39 1
4.3%
33 1
4.3%
27 1
4.3%
26 1
4.3%
13 1
4.3%

주소
Text

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T10:20:05.190377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.608696
Min length21

Characters and Unicode

Total characters566
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)56.5%

Sample

1st row대구광역시 서구 달구벌대로 1789(내당동)
2nd row대구광역시 서구 달구벌대로 1789(내당동)
3rd row대구광역시 서구 달구벌대로 1789(내당동)
4th row대구광역시 서구 염색공단천로12길 13(비산동)
5th row대구광역시 서구 서대구로 195, 3층(평리동)
ValueCountFrequency (%)
대구광역시 23
23.2%
서구 23
23.2%
북비산로 6
 
6.1%
달구벌대로 3
 
3.0%
1789(내당동 3
 
3.0%
염색공단천로12길 3
 
3.0%
13(비산동 3
 
3.0%
와룡로70길 2
 
2.0%
46(중리동 2
 
2.0%
12-3(이현동 2
 
2.0%
Other values (27) 29
29.3%
2023-12-12T10:20:05.602914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
13.4%
구 51
 
9.0%
대 28
 
4.9%
서 25
 
4.4%
( 23
 
4.1%
광 23
 
4.1%
역 23
 
4.1%
시 23
 
4.1%
) 23
 
4.1%
로 23
 
4.1%
Other values (43) 248
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
61.1%
Decimal Number 88
 
15.5%
Space Separator 76
 
13.4%
Open Punctuation 23
 
4.1%
Close Punctuation 23
 
4.1%
Other Punctuation 6
 
1.1%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 51
14.7%
대 28
 
8.1%
서 25
 
7.2%
광 23
 
6.6%
역 23
 
6.6%
시 23
 
6.6%
로 23
 
6.6%
동 23
 
6.6%
리 11
 
3.2%
비 11
 
3.2%
Other values (28) 105
30.3%
Decimal Number
ValueCountFrequency (%)
1 19
21.6%
7 14
15.9%
3 12
13.6%
2 9
10.2%
0 8
9.1%
8 6
 
6.8%
4 6
 
6.8%
9 5
 
5.7%
6 5
 
5.7%
5 4
 
4.5%
Space Separator
ValueCountFrequency (%)
76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
61.1%
Common 220
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 51
14.7%
대 28
 
8.1%
서 25
 
7.2%
광 23
 
6.6%
역 23
 
6.6%
시 23
 
6.6%
로 23
 
6.6%
동 23
 
6.6%
리 11
 
3.2%
비 11
 
3.2%
Other values (28) 105
30.3%
Common
ValueCountFrequency (%)
76
34.5%
( 23
 
10.5%
) 23
 
10.5%
1 19
 
8.6%
7 14
 
6.4%
3 12
 
5.5%
2 9
 
4.1%
0 8
 
3.6%
8 6
 
2.7%
, 6
 
2.7%
Other values (5) 24
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
61.1%
ASCII 220
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
34.5%
( 23
 
10.5%
) 23
 
10.5%
1 19
 
8.6%
7 14
 
6.4%
3 12
 
5.5%
2 9
 
4.1%
0 8
 
3.6%
8 6
 
2.7%
, 6
 
2.7%
Other values (5) 24
 
10.9%
Hangul
ValueCountFrequency (%)
구 51
14.7%
대 28
 
8.1%
서 25
 
7.2%
광 23
 
6.6%
역 23
 
6.6%
시 23
 
6.6%
로 23
 
6.6%
동 23
 
6.6%
리 11
 
3.2%
비 11
 
3.2%
Other values (28) 105
30.3%

전화번호
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing2
Missing (%)8.7%
Memory size316.0 B
2023-12-12T10:20:05.871704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row053-562-9777
2nd row053-562-9776
3rd row053-562-9777
4th row053-357-3333
5th row053-572-6555
ValueCountFrequency (%)
053-562-9777 2
 
9.5%
053-357-3333 2
 
9.5%
053-522-3366 2
 
9.5%
053-354-8064 1
 
4.8%
053-572-7890 1
 
4.8%
053-582-9945 1
 
4.8%
053-522-1334 1
 
4.8%
053-557-1112 1
 
4.8%
053-523-0083 1
 
4.8%
053-341-1234 1
 
4.8%
Other values (8) 8
38.1%
2023-12-12T10:20:06.319481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 49
19.4%
3 42
16.7%
- 42
16.7%
0 28
11.1%
7 20
7.9%
2 19
 
7.5%
6 12
 
4.8%
1 11
 
4.4%
8 10
 
4.0%
4 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 49
23.3%
3 42
20.0%
0 28
13.3%
7 20
9.5%
2 19
 
9.0%
6 12
 
5.7%
1 11
 
5.2%
8 10
 
4.8%
4 10
 
4.8%
9 9
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 49
19.4%
3 42
16.7%
- 42
16.7%
0 28
11.1%
7 20
7.9%
2 19
 
7.5%
6 12
 
4.8%
1 11
 
4.4%
8 10
 
4.0%
4 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 49
19.4%
3 42
16.7%
- 42
16.7%
0 28
11.1%
7 20
7.9%
2 19
 
7.5%
6 12
 
4.8%
1 11
 
4.4%
8 10
 
4.0%
4 10
 
4.0%

Interactions

2023-12-12T10:20:03.666287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:20:06.429183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명보유대수주소전화번호
업체명1.0001.0001.0001.000
보유대수1.0001.0000.0000.000
주소1.0000.0001.0001.000
전화번호1.0000.0001.0001.000

Missing values

2023-12-12T10:20:03.808108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:20:03.932241image/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

업체명보유대수주소전화번호
0신원기업㈜33대구광역시 서구 달구벌대로 1789(내당동)053-562-9777
1(주)아성운수48대구광역시 서구 달구벌대로 1789(내당동)053-562-9776
2공신운수㈜60대구광역시 서구 달구벌대로 1789(내당동)053-562-9777
3(주)화성항공물류13대구광역시 서구 염색공단천로12길 13(비산동)053-357-3333
4(주)동양특수운수8대구광역시 서구 서대구로 195, 3층(평리동)053-572-6555
5㈜동남운수10대구광역시 서구 북비산로37길 5-11(평리동)053-559-8080
6(주)성림통운26대구광역시 서구 평리로 198(내당동)053-557-7878
7(주)정원물류51대구광역시 서구 국채보상로 44, 205호(중리동)053-568-4411
8(주)건화물류3대구광역시 서구 북비산로 105-7(이현동)053-592-1472
9㈜한창물류1대구광역시 서구 북비산로 48(이현동)053-558-2601
업체명보유대수주소전화번호
13㈜대도항공물류1대구광역시 서구 염색공단천로12길 13(비산동)053-357-3333
14(주)신유로지스1대구광역시 서구 와룡로 367, 203호(중리동)053-523-0083
15㈜삼성운수사95대구광역시 서구 서대구로 78, 4층(평리동, 유승빌딩)053-557-1112
16㈜이든로지텍39대구광역시 서구 북비산로 120(이현동)053-522-1334
17㈜앤트로지스41대구광역시 서구 북비산로 12-3(이현동)053-522-3366
18㈜디아이티엘에스 대구지사3대구광역시 서구 와룡로70길 46(중리동)<NA>
19㈜대한운수27대구광역시 서구 북비산로 12-3(이현동)053-522-3366
20㈜다인물류5대구광역시 서구 와룡로70길 46(중리동)053-582-9945
21지산로지스(유)2대구광역시 서구 와룡로 307, 7층 716호(중리동)<NA>
22㈜득현물류1대구광역시 서구 북비산로 177(평리동)053-527-1947