Overview

Dataset statistics

Number of variables7
Number of observations130
Missing cells55
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory57.0 B

Variable types

DateTime1
Categorical3
Text3

Dataset

Description이천시의 화물자동차운송주선사업 허가업체현황자료이며 인허가일자, 영업상태, 업종구분, 업체명, 도로명주소, 지번주소, 연락처 , 데이터기준일자등을 알수 있습니다.
Author경기도 이천시
URLhttps://www.data.go.kr/data/15090311/fileData.do

Alerts

영업상태 has constant value ""Constant
업종구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연락처 has 55 (42.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:11:35.665938
Analysis finished2023-12-12 05:11:36.126585
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가일자
Date

Distinct127
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1989-06-30 00:00:00
Maximum2019-05-27 00:00:00
2023-12-12T14:11:36.242305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:11:36.411278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
130 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 130
100.0%

Length

2023-12-12T14:11:36.563253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:11:36.664037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 130
100.0%

업종구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
화물주선사업
130 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화물주선사업 130
100.0%

Length

2023-12-12T14:11:36.778821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:11:36.948348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물주선사업 130
100.0%

업체명
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:11:37.208182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.4615385
Min length2

Characters and Unicode

Total characters710
Distinct characters183
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)98.5%

Sample

1st row2대운송
2nd row오천화물
3rd row전국화물
4th row대원익스프레스
5th row가나익스프레스
ValueCountFrequency (%)
이천로지스 2
 
1.5%
대화물류 1
 
0.7%
이천점 1
 
0.7%
kgb 1
 
0.7%
바른물류 1
 
0.7%
이안로지스 1
 
0.7%
가나전국화물 1
 
0.7%
이천지점 1
 
0.7%
선진종합물류(유 1
 
0.7%
국제익스프레스 1
 
0.7%
Other values (123) 123
91.8%
2023-12-12T14:11:37.673861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 79
 
11.1%
물 50
 
7.0%
로 36
 
5.1%
지 35
 
4.9%
류 30
 
4.2%
이 29
 
4.1%
화 20
 
2.8%
프 15
 
2.1%
천 15
 
2.1%
레 15
 
2.1%
Other values (173) 386
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
96.2%
Uppercase Letter 11
 
1.5%
Decimal Number 9
 
1.3%
Space Separator 4
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 79
 
11.6%
물 50
 
7.3%
로 36
 
5.3%
지 35
 
5.1%
류 30
 
4.4%
이 29
 
4.2%
화 20
 
2.9%
프 15
 
2.2%
천 15
 
2.2%
레 15
 
2.2%
Other values (157) 359
52.6%
Uppercase Letter
ValueCountFrequency (%)
K 4
36.4%
S 2
18.2%
B 1
 
9.1%
G 1
 
9.1%
M 1
 
9.1%
H 1
 
9.1%
T 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
6 2
22.2%
2 2
22.2%
1 1
 
11.1%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
96.2%
Common 16
 
2.3%
Latin 11
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 79
 
11.6%
물 50
 
7.3%
로 36
 
5.3%
지 35
 
5.1%
류 30
 
4.4%
이 29
 
4.2%
화 20
 
2.9%
프 15
 
2.2%
천 15
 
2.2%
레 15
 
2.2%
Other values (157) 359
52.6%
Common
ValueCountFrequency (%)
4
25.0%
0 3
18.8%
6 2
12.5%
2 2
12.5%
) 1
 
6.2%
( 1
 
6.2%
1 1
 
6.2%
3 1
 
6.2%
_ 1
 
6.2%
Latin
ValueCountFrequency (%)
K 4
36.4%
S 2
18.2%
B 1
 
9.1%
G 1
 
9.1%
M 1
 
9.1%
H 1
 
9.1%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
96.2%
ASCII 27
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 79
 
11.6%
물 50
 
7.3%
로 36
 
5.3%
지 35
 
5.1%
류 30
 
4.4%
이 29
 
4.2%
화 20
 
2.9%
프 15
 
2.2%
천 15
 
2.2%
레 15
 
2.2%
Other values (157) 359
52.6%
ASCII
ValueCountFrequency (%)
K 4
14.8%
4
14.8%
0 3
11.1%
S 2
 
7.4%
6 2
 
7.4%
2 2
 
7.4%
B 1
 
3.7%
G 1
 
3.7%
) 1
 
3.7%
( 1
 
3.7%
Other values (6) 6
22.2%

도로명주소
Text

Distinct123
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:11:37.976868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length23.846154
Min length14

Characters and Unicode

Total characters3100
Distinct characters137
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)89.2%

Sample

1st row경기도 이천시 백사면 이여로 113
2nd row경기도 이천시 마장면 목리 400-5
3rd row경기도 이천시 부발읍 황무로 1839
4th row경기도 이천시 진상미로2232번길 8
5th row경기도 이천시 갈산로133번길 46
ValueCountFrequency (%)
경기도 129
19.5%
이천시 129
19.5%
마장면 27
 
4.1%
부발읍 19
 
2.9%
호법면 18
 
2.7%
중부대로 15
 
2.3%
대월면 12
 
1.8%
덕평로 9
 
1.4%
이섭대천로 9
 
1.4%
신둔면 8
 
1.2%
Other values (225) 286
43.3%
2023-12-12T14:11:38.419348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
 
17.1%
이 155
 
5.0%
천 147
 
4.7%
경 137
 
4.4%
1 133
 
4.3%
도 130
 
4.2%
시 130
 
4.2%
기 129
 
4.2%
로 122
 
3.9%
2 100
 
3.2%
Other values (127) 1386
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1795
57.9%
Decimal Number 636
 
20.5%
Space Separator 531
 
17.1%
Dash Punctuation 46
 
1.5%
Other Punctuation 42
 
1.4%
Close Punctuation 24
 
0.8%
Open Punctuation 24
 
0.8%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 155
 
8.6%
천 147
 
8.2%
경 137
 
7.6%
도 130
 
7.2%
시 130
 
7.2%
기 129
 
7.2%
로 122
 
6.8%
면 75
 
4.2%
대 62
 
3.5%
호 47
 
2.6%
Other values (110) 661
36.8%
Decimal Number
ValueCountFrequency (%)
1 133
20.9%
2 100
15.7%
3 77
12.1%
0 57
9.0%
7 48
 
7.5%
8 48
 
7.5%
6 46
 
7.2%
4 46
 
7.2%
5 45
 
7.1%
9 36
 
5.7%
Space Separator
ValueCountFrequency (%)
531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1795
57.9%
Common 1304
42.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 155
 
8.6%
천 147
 
8.2%
경 137
 
7.6%
도 130
 
7.2%
시 130
 
7.2%
기 129
 
7.2%
로 122
 
6.8%
면 75
 
4.2%
대 62
 
3.5%
호 47
 
2.6%
Other values (110) 661
36.8%
Common
ValueCountFrequency (%)
531
40.7%
1 133
 
10.2%
2 100
 
7.7%
3 77
 
5.9%
0 57
 
4.4%
7 48
 
3.7%
8 48
 
3.7%
- 46
 
3.5%
6 46
 
3.5%
4 46
 
3.5%
Other values (6) 172
 
13.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1795
57.9%
ASCII 1305
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
40.7%
1 133
 
10.2%
2 100
 
7.7%
3 77
 
5.9%
0 57
 
4.4%
7 48
 
3.7%
8 48
 
3.7%
- 46
 
3.5%
6 46
 
3.5%
4 46
 
3.5%
Other values (7) 173
 
13.3%
Hangul
ValueCountFrequency (%)
이 155
 
8.6%
천 147
 
8.2%
경 137
 
7.6%
도 130
 
7.2%
시 130
 
7.2%
기 129
 
7.2%
로 122
 
6.8%
면 75
 
4.2%
대 62
 
3.5%
호 47
 
2.6%
Other values (110) 661
36.8%

연락처
Text

MISSING 

Distinct74
Distinct (%)98.7%
Missing55
Missing (%)42.3%
Memory size1.1 KiB
2023-12-12T14:11:38.679893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters900
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

Unique73 ?
Unique (%)97.3%

Sample

1st row031-637-2222
2nd row031-634-6388
3rd row031-631-2488
4th row031-632-8224
5th row031-638-2481
ValueCountFrequency (%)
031-766-7293 2
 
2.7%
031-637-1727 1
 
1.3%
031-631-6071 1
 
1.3%
031-631-2692 1
 
1.3%
031-636-1024 1
 
1.3%
031-634-9309 1
 
1.3%
070-4008-8494 1
 
1.3%
031-643-1088 1
 
1.3%
031-637-5400 1
 
1.3%
031-632-1971 1
 
1.3%
Other values (64) 64
85.3%
2023-12-12T14:11:39.100149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 171
19.0%
- 150
16.7%
1 122
13.6%
0 119
13.2%
6 102
11.3%
2 62
 
6.9%
4 45
 
5.0%
8 43
 
4.8%
7 36
 
4.0%
9 25
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 750
83.3%
Dash Punctuation 150
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 171
22.8%
1 122
16.3%
0 119
15.9%
6 102
13.6%
2 62
 
8.3%
4 45
 
6.0%
8 43
 
5.7%
7 36
 
4.8%
9 25
 
3.3%
5 25
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 171
19.0%
- 150
16.7%
1 122
13.6%
0 119
13.2%
6 102
11.3%
2 62
 
6.9%
4 45
 
5.0%
8 43
 
4.8%
7 36
 
4.0%
9 25
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 171
19.0%
- 150
16.7%
1 122
13.6%
0 119
13.2%
6 102
11.3%
2 62
 
6.9%
4 45
 
5.0%
8 43
 
4.8%
7 36
 
4.0%
9 25
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-09-27
130 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-27
2nd row2023-09-27
3rd row2023-09-27
4th row2023-09-27
5th row2023-09-27

Common Values

ValueCountFrequency (%)
2023-09-27 130
100.0%

Length

2023-12-12T14:11:39.269303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:11:39.378803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-27 130
100.0%

Missing values

2023-12-12T14:11:35.958651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:11:36.079767image/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

인허가일자영업상태업종구분업체명도로명주소연락처데이터기준일자
01994-05-31영업중화물주선사업2대운송경기도 이천시 백사면 이여로 113031-637-22222023-09-27
11994-01-27영업중화물주선사업오천화물경기도 이천시 마장면 목리 400-5031-634-63882023-09-27
21994-08-05영업중화물주선사업전국화물경기도 이천시 부발읍 황무로 1839031-631-24882023-09-27
31996-03-29영업중화물주선사업대원익스프레스경기도 이천시 진상미로2232번길 8031-632-82242023-09-27
41996-04-16영업중화물주선사업가나익스프레스경기도 이천시 갈산로133번길 46031-638-24812023-09-27
51996-04-30영업중화물주선사업이천가나화물경기도 이천시 중부대로 1210031-637-10012023-09-27
61998-01-17영업중화물주선사업무지개익스프레스경기도 이천시 호법면 중부대로 952-10031-637-00042023-09-27
72000-09-02영업중화물주선사업온누리익스프레스경기도 이천시 이섭대천로 970031-635-08332023-09-27
81999-12-24영업중화물주선사업케이엠알경기도 이천시 설성면 설가로 307031-632-08792023-09-27
92000-05-24영업중화물주선사업이사트랜스경기도 이천시 이섭대천로 1304-14031-631-12242023-09-27
인허가일자영업상태업종구분업체명도로명주소연락처데이터기준일자
1201996-02-14영업중화물주선사업SM물류경기도 이천시 장호원읍 서동대로 8829번길 31,2층 사무실<NA>2023-09-27
1211999-03-10영업중화물주선사업케어로지스경기도 이천시 마장면 덕평로 661번길 53<NA>2023-09-27
1222003-10-15영업중화물주선사업베스트인로직스경기도 이천시 마장면 서이천로 383<NA>2023-09-27
1231999-03-30영업중화물주선사업대하로지스틱경기도 이천시 호법면 중부대로763번길 141-27<NA>2023-09-27
1242004-07-07영업중화물주선사업준일로지스경기도 이천시 신둔면 고척리 553-7,1~2층<NA>2023-09-27
1252019-05-27영업중화물주선사업케이원물류경기도 이천시 마장면 덕평리 115-5(에스제이스퀘어) 2층 201호<NA>2023-09-27
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