Overview

Dataset statistics

Number of variables9
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory73.9 B

Variable types

Numeric1
Categorical4
DateTime1
Text3

Dataset

Description인천 서구의 화물자동차 운송 주선사업 허가업체 현황입니다.(최초허가일, 업체명, 대표자, 도로명주소, 영업상태명, 구분 등)
URLhttps://www.data.go.kr/data/15081077/fileData.do

Alerts

군구명 has constant value ""Constant
영업상태명 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:29:11.312280
Analysis finished2023-12-12 13:29:12.217809
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73
Minimum1
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:29:12.327588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.2
Q137
median73
Q3109
95-th percentile137.8
Maximum145
Range144
Interquartile range (IQR)72

Descriptive statistics

Standard deviation42.001984
Coefficient of variation (CV)0.57536964
Kurtosis-1.2
Mean73
Median Absolute Deviation (MAD)36
Skewness0
Sum10585
Variance1764.1667
MonotonicityStrictly increasing
2023-12-12T22:29:12.525413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
110 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
Other values (135) 135
93.1%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%

군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서구
145 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 145
100.0%

Length

2023-12-12T22:29:12.746993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:29:12.887513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 145
100.0%

최초허가일
Date

Distinct135
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1972-05-31 00:00:00
Maximum2022-11-28 00:00:00
2023-12-12T22:29:13.038450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:29:13.260540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:29:13.660820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.1862069
Min length2

Characters and Unicode

Total characters897
Distinct characters205
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)100.0%

Sample

1st row서구화물
2nd row대륙익스프레스
3rd row㈜신성물류
4th row물산운수
5th row경기트랜스
ValueCountFrequency (%)
서구화물 1
 
0.7%
굴렁쇠로지스 1
 
0.7%
그린에너지개발㈜ 1
 
0.7%
㈜코렉스물류 1
 
0.7%
007트랜스 1
 
0.7%
연합화물익스프레스 1
 
0.7%
㈜비엘글로벌로지스 1
 
0.7%
㈜네바퀴물류 1
 
0.7%
연희화물익스프레스 1
 
0.7%
㈜성광종합물류 1
 
0.7%
Other values (138) 138
93.2%
2023-12-12T22:29:14.271788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 75
 
8.4%
㈜ 67
 
7.5%
물 64
 
7.1%
류 39
 
4.3%
지 27
 
3.0%
화 25
 
2.8%
로 23
 
2.6%
이 21
 
2.3%
프 18
 
2.0%
익 17
 
1.9%
Other values (195) 521
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
86.5%
Other Symbol 67
 
7.5%
Decimal Number 23
 
2.6%
Uppercase Letter 13
 
1.4%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%
Space Separator 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 75
 
9.7%
물 64
 
8.2%
류 39
 
5.0%
지 27
 
3.5%
화 25
 
3.2%
로 23
 
3.0%
이 21
 
2.7%
프 18
 
2.3%
익 17
 
2.2%
레 17
 
2.2%
Other values (174) 450
58.0%
Decimal Number
ValueCountFrequency (%)
4 5
21.7%
1 5
21.7%
2 5
21.7%
9 2
 
8.7%
0 2
 
8.7%
5 2
 
8.7%
7 1
 
4.3%
3 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
E 4
30.8%
L 2
15.4%
P 2
15.4%
B 1
 
7.7%
R 1
 
7.7%
O 1
 
7.7%
S 1
 
7.7%
G 1
 
7.7%
Other Symbol
ValueCountFrequency (%)
㈜ 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 843
94.0%
Common 41
 
4.6%
Latin 13
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 75
 
8.9%
㈜ 67
 
7.9%
물 64
 
7.6%
류 39
 
4.6%
지 27
 
3.2%
화 25
 
3.0%
로 23
 
2.7%
이 21
 
2.5%
프 18
 
2.1%
익 17
 
2.0%
Other values (175) 467
55.4%
Common
ValueCountFrequency (%)
) 7
17.1%
( 7
17.1%
4 5
12.2%
1 5
12.2%
2 5
12.2%
3
7.3%
9 2
 
4.9%
0 2
 
4.9%
5 2
 
4.9%
, 1
 
2.4%
Other values (2) 2
 
4.9%
Latin
ValueCountFrequency (%)
E 4
30.8%
L 2
15.4%
P 2
15.4%
B 1
 
7.7%
R 1
 
7.7%
O 1
 
7.7%
S 1
 
7.7%
G 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
86.5%
None 67
 
7.5%
ASCII 54
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 75
 
9.7%
물 64
 
8.2%
류 39
 
5.0%
지 27
 
3.5%
화 25
 
3.2%
로 23
 
3.0%
이 21
 
2.7%
프 18
 
2.3%
익 17
 
2.2%
레 17
 
2.2%
Other values (174) 450
58.0%
None
ValueCountFrequency (%)
㈜ 67
100.0%
ASCII
ValueCountFrequency (%)
) 7
13.0%
( 7
13.0%
4 5
9.3%
1 5
9.3%
2 5
9.3%
E 4
 
7.4%
3
 
5.6%
9 2
 
3.7%
L 2
 
3.7%
P 2
 
3.7%
Other values (10) 12
22.2%

대표자
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:29:14.790407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.1655172
Min length2

Characters and Unicode

Total characters459
Distinct characters126
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

Unique145 ?
Unique (%)100.0%

Sample

1st row오영규
2nd row김수태
3rd row음종호
4th row오재영
5th row강성백
ValueCountFrequency (%)
오영규 1
 
0.7%
김정일 1
 
0.7%
손원백 1
 
0.7%
신동헌 1
 
0.7%
김종수 1
 
0.7%
임구택 1
 
0.7%
김종범 1
 
0.7%
박상호 1
 
0.7%
김종오 1
 
0.7%
최돈우 1
 
0.7%
Other values (139) 139
93.3%
2023-12-12T22:29:15.504750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 38
 
8.3%
이 21
 
4.6%
영 14
 
3.1%
성 14
 
3.1%
박 12
 
2.6%
정 11
 
2.4%
희 11
 
2.4%
오 10
 
2.2%
수 10
 
2.2%
강 8
 
1.7%
Other values (116) 310
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
97.6%
Space Separator 5
 
1.1%
Other Punctuation 4
 
0.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 38
 
8.5%
이 21
 
4.7%
영 14
 
3.1%
성 14
 
3.1%
박 12
 
2.7%
정 11
 
2.5%
희 11
 
2.5%
오 10
 
2.2%
수 10
 
2.2%
강 8
 
1.8%
Other values (112) 299
66.7%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
97.6%
Common 11
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 38
 
8.5%
이 21
 
4.7%
영 14
 
3.1%
성 14
 
3.1%
박 12
 
2.7%
정 11
 
2.5%
희 11
 
2.5%
오 10
 
2.2%
수 10
 
2.2%
강 8
 
1.8%
Other values (112) 299
66.7%
Common
ValueCountFrequency (%)
5
45.5%
, 4
36.4%
( 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
97.6%
ASCII 11
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 38
 
8.5%
이 21
 
4.7%
영 14
 
3.1%
성 14
 
3.1%
박 12
 
2.7%
정 11
 
2.5%
희 11
 
2.5%
오 10
 
2.2%
수 10
 
2.2%
강 8
 
1.8%
Other values (112) 299
66.7%
ASCII
ValueCountFrequency (%)
5
45.5%
, 4
36.4%
( 1
 
9.1%
) 1
 
9.1%

도로명주소
Text

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:29:15.850530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length29.4
Min length15

Characters and Unicode

Total characters4263
Distinct characters190
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

Unique143 ?
Unique (%)98.6%

Sample

1st row인천광역시 서구 보석로17번안길 28, 101호(청라동)
2nd row인천광역시 서구 고래울로 20번길 20
3rd row인천광역시 서구 백범로 726, 출고사무실 2층(가좌동)
4th row인천광역시 서구 원당대로117번길10, 206호(오류동, 더경프라자)
5th row인천광역시 서구 승학로235번길 18(심곡동)
ValueCountFrequency (%)
서구 146
 
19.8%
인천광역시 145
 
19.7%
2층 8
 
1.1%
원당대로 6
 
0.8%
2 5
 
0.7%
북항로31번길 5
 
0.7%
북항로 5
 
0.7%
봉수대로 4
 
0.5%
25 4
 
0.5%
6층 4
 
0.5%
Other values (343) 404
54.9%
2023-12-12T22:29:16.431936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
598
 
14.0%
1 181
 
4.2%
서 156
 
3.7%
시 149
 
3.5%
구 149
 
3.5%
로 146
 
3.4%
역 146
 
3.4%
인 145
 
3.4%
천 145
 
3.4%
광 145
 
3.4%
Other values (180) 2303
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2454
57.6%
Decimal Number 813
 
19.1%
Space Separator 598
 
14.0%
Open Punctuation 126
 
3.0%
Close Punctuation 125
 
2.9%
Other Punctuation 116
 
2.7%
Dash Punctuation 28
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 156
 
6.4%
시 149
 
6.1%
구 149
 
6.1%
로 146
 
5.9%
역 146
 
5.9%
인 145
 
5.9%
천 145
 
5.9%
광 145
 
5.9%
동 143
 
5.8%
길 89
 
3.6%
Other values (161) 1041
42.4%
Decimal Number
ValueCountFrequency (%)
1 181
22.3%
2 131
16.1%
0 94
11.6%
3 91
11.2%
5 67
 
8.2%
4 64
 
7.9%
8 54
 
6.6%
6 52
 
6.4%
7 40
 
4.9%
9 39
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 114
98.3%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
598
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2454
57.6%
Common 1806
42.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 156
 
6.4%
시 149
 
6.1%
구 149
 
6.1%
로 146
 
5.9%
역 146
 
5.9%
인 145
 
5.9%
천 145
 
5.9%
광 145
 
5.9%
동 143
 
5.8%
길 89
 
3.6%
Other values (161) 1041
42.4%
Common
ValueCountFrequency (%)
598
33.1%
1 181
 
10.0%
2 131
 
7.3%
( 126
 
7.0%
) 125
 
6.9%
, 114
 
6.3%
0 94
 
5.2%
3 91
 
5.0%
5 67
 
3.7%
4 64
 
3.5%
Other values (6) 215
 
11.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2454
57.6%
ASCII 1809
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
598
33.1%
1 181
 
10.0%
2 131
 
7.2%
( 126
 
7.0%
) 125
 
6.9%
, 114
 
6.3%
0 94
 
5.2%
3 91
 
5.0%
5 67
 
3.7%
4 64
 
3.5%
Other values (9) 218
 
12.1%
Hangul
ValueCountFrequency (%)
서 156
 
6.4%
시 149
 
6.1%
구 149
 
6.1%
로 146
 
5.9%
역 146
 
5.9%
인 145
 
5.9%
천 145
 
5.9%
광 145
 
5.9%
동 143
 
5.8%
길 89
 
3.6%
Other values (161) 1041
42.4%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업
145 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 145
100.0%

Length

2023-12-12T22:29:16.618255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:29:16.750280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 145
100.0%

구분
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반
112 
이사
29 
일반/이사
 
4

Length

Max length5
Median length2
Mean length2.0827586
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row이사
3rd row일반
4th row일반
5th row이사

Common Values

ValueCountFrequency (%)
일반 112
77.2%
이사 29
 
20.0%
일반/이사 4
 
2.8%

Length

2023-12-12T22:29:16.893381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:29:17.040581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 112
77.2%
이사 29
 
20.0%
일반/이사 4
 
2.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-03-31
145 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-31
2nd row2023-03-31
3rd row2023-03-31
4th row2023-03-31
5th row2023-03-31

Common Values

ValueCountFrequency (%)
2023-03-31 145
100.0%

Length

2023-12-12T22:29:17.208773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:29:17.370529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-31 145
100.0%

Interactions

2023-12-12T22:29:11.782289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:29:17.460594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.502
구분0.5021.000
2023-12-12T22:29:17.579618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.340
구분0.3401.000

Missing values

2023-12-12T22:29:11.975223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:29:12.145625image/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

연번군구명최초허가일업체명대표자도로명주소영업상태명구분데이터기준일
01서구1992-02-07서구화물오영규인천광역시 서구 보석로17번안길 28, 101호(청라동)영업일반2023-03-31
12서구1994-04-14대륙익스프레스김수태인천광역시 서구 고래울로 20번길 20영업이사2023-03-31
23서구1994-07-05㈜신성물류음종호인천광역시 서구 백범로 726, 출고사무실 2층(가좌동)영업일반2023-03-31
34서구1996-03-06물산운수오재영인천광역시 서구 원당대로117번길10, 206호(오류동, 더경프라자)영업일반2023-03-31
45서구1999-09-14경기트랜스강성백인천광역시 서구 승학로235번길 18(심곡동)영업이사2023-03-31
56서구2000-06-23신도익스프레스장완석인천광역시 서구 고래울로28번길 12(가좌동)영업이사2023-03-31
67서구1999-01-19척척익스프레스구범석인천광역시 서구 승학로235번길 16 (심곡동)영업이사2023-03-31
78서구1995-09-02한미익스프레스성영강인천광역시 서구 서달로105번길 13, 2층(석남동)영업이사2023-03-31
89서구2001-05-11마스터이사서비스가승현인천광역시 서구 원창로131번길 28 (신현동)영업이사2023-03-31
910서구2000-12-20인터지스㈜, 인천지점(영업소)박동호인천광역시 서구 백범로934번길 31(가좌동)영업일반2023-03-31
연번군구명최초허가일업체명대표자도로명주소영업상태명구분데이터기준일
135136서구2019-02-21인천북항다목적부두㈜심보인천광역시 서구 북항로 135영업일반2023-03-31
136137서구2005-08-25태영로지스황인진인천광역시 서구 완정로 179, 6층 601호(왕길동)영업일반2023-03-31
137138서구2003-06-27㈜로지스온강해권인천광역시 서구 길주로 79, 8층 8534호영업일반2023-03-31
138139서구1993-10-12경인퀵특송화물이성복인천광역시 서구 원당대로 480번길 2영업일반2023-03-31
139140서구2013-04-29㈜월드아이에스최현선인천광역시 서구 파랑로 495, 10층1-1031호영업일반2023-03-31
140141서구2001-03-21㈜공항퀵연합김학천, 송명근(공동대표)인천광역시 서구 경서동 경서3구역도시개발지구25블록2로트 청라로데오시티포레안 제1047호영업일반2023-03-31
141142서구2004-01-29부자돼지 익스프레스박철수인천광역시 서구 건지로 411, 1층 제14호(가좌동, 범양아파트상가동)영업이사2023-03-31
142143서구1993-01-29씨티엘로지스㈜이명준인천광역시 서구 청라에메랄드로 102번길 8-12, 103호(청라동, 아이케이비즈센터)영업일반2023-03-31
143144서구1997-01-08위킵㈜장보영인천광역시 서구 북항로 144(원창동)영업일반2023-03-31
144145서구1992-10-28좋은사람들익스프레스최종철인천광역시 서구 가정로294번길 6, 지하1층영업이사2023-03-31