Overview

Dataset statistics

Number of variables4
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.8 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 중구 관내 주유소 상호, 주소, 연락처에 관한 정보로 사용자들의 편의를 위해서 제공되는 데이터입니다. 기준일은 2023.07.20.로 현재와 차이가 있을 수 있습니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3045559&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
상 호 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 17:20:52.642409
Analysis finished2024-01-28 17:20:52.939812
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상 호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-29T02:20:53.089748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.3428571
Min length5

Characters and Unicode

Total characters327
Distinct characters89
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row동양산업(주)사동주유소
2nd row영진주유소
3rd row신화상사㈜ 구도일 주유소 신화제일
4th row씨제이대한통운㈜항만주유소
5th row동양산업㈜직영항동주유소
ValueCountFrequency (%)
동양산업(주)사동주유소 1
 
2.3%
한국3주유소 1
 
2.3%
sk에너지㈜ 1
 
2.3%
남항주유소 1
 
2.3%
gs칼텍스㈜지원4점 1
 
2.3%
백운주유소㈜ 1
 
2.3%
내트럭㈜인천사업소 1
 
2.3%
㈜한진항동주유소 1
 
2.3%
영종주유소 1
 
2.3%
gs칼텍스㈜지원1점 1
 
2.3%
Other values (34) 34
77.3%
2024-01-29T02:20:53.409562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
9.5%
유 29
 
8.9%
소 29
 
8.9%
㈜ 22
 
6.7%
9
 
2.8%
지 8
 
2.4%
동 8
 
2.4%
항 7
 
2.1%
스 7
 
2.1%
천 6
 
1.8%
Other values (79) 171
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
83.8%
Other Symbol 22
 
6.7%
Uppercase Letter 10
 
3.1%
Space Separator 9
 
2.8%
Decimal Number 8
 
2.4%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
11.3%
유 29
 
10.6%
소 29
 
10.6%
지 8
 
2.9%
동 8
 
2.9%
항 7
 
2.6%
스 7
 
2.6%
천 6
 
2.2%
한 6
 
2.2%
인 5
 
1.8%
Other values (68) 138
50.4%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
3 2
25.0%
4 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
50.0%
G 4
40.0%
K 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
90.5%
Common 21
 
6.4%
Latin 10
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
10.5%
유 29
 
9.8%
소 29
 
9.8%
㈜ 22
 
7.4%
지 8
 
2.7%
동 8
 
2.7%
항 7
 
2.4%
스 7
 
2.4%
천 6
 
2.0%
한 6
 
2.0%
Other values (69) 143
48.3%
Common
ValueCountFrequency (%)
9
42.9%
2 3
 
14.3%
1 2
 
9.5%
( 2
 
9.5%
) 2
 
9.5%
3 2
 
9.5%
4 1
 
4.8%
Latin
ValueCountFrequency (%)
S 5
50.0%
G 4
40.0%
K 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
83.8%
ASCII 31
 
9.5%
None 22
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
11.3%
유 29
 
10.6%
소 29
 
10.6%
지 8
 
2.9%
동 8
 
2.9%
항 7
 
2.6%
스 7
 
2.6%
천 6
 
2.2%
한 6
 
2.2%
인 5
 
1.8%
Other values (68) 138
50.4%
None
ValueCountFrequency (%)
㈜ 22
100.0%
ASCII
ValueCountFrequency (%)
9
29.0%
S 5
16.1%
G 4
12.9%
2 3
 
9.7%
1 2
 
6.5%
( 2
 
6.5%
) 2
 
6.5%
3 2
 
6.5%
K 1
 
3.2%
4 1
 
3.2%

주 소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-29T02:20:53.593301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length21.085714
Min length16

Characters and Unicode

Total characters738
Distinct characters63
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

Unique35 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 사동 24-10
2nd row인천광역시 중구 사동 15-22
3rd row인천광역시 중구 신흥동3가 36-12 외
4th row인천광역시 중구 항동7가 27-148
5th row인천광역시 중구 항동7가 91-12
ValueCountFrequency (%)
인천광역시 35
22.7%
중구 35
22.7%
신흥동3가 10
 
6.5%
항동7가 8
 
5.2%
운서동 5
 
3.2%
2172-1 4
 
2.6%
외 4
 
2.6%
사동 3
 
1.9%
중산동 2
 
1.3%
1003-1 1
 
0.6%
Other values (47) 47
30.5%
2024-01-29T02:20:54.122973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
16.3%
1 46
 
6.2%
역 38
 
5.1%
중 37
 
5.0%
시 36
 
4.9%
인 35
 
4.7%
광 35
 
4.7%
구 35
 
4.7%
천 35
 
4.7%
동 35
 
4.7%
Other values (53) 286
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
55.0%
Decimal Number 169
22.9%
Space Separator 120
 
16.3%
Dash Punctuation 32
 
4.3%
Other Punctuation 5
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 38
9.4%
중 37
9.1%
시 36
 
8.9%
인 35
 
8.6%
광 35
 
8.6%
구 35
 
8.6%
천 35
 
8.6%
동 35
 
8.6%
가 18
 
4.4%
신 11
 
2.7%
Other values (38) 91
22.4%
Decimal Number
ValueCountFrequency (%)
1 46
27.2%
3 35
20.7%
2 23
13.6%
7 19
11.2%
5 13
 
7.7%
4 9
 
5.3%
0 7
 
4.1%
9 7
 
4.1%
8 6
 
3.6%
6 4
 
2.4%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
55.0%
Common 332
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 38
9.4%
중 37
9.1%
시 36
 
8.9%
인 35
 
8.6%
광 35
 
8.6%
구 35
 
8.6%
천 35
 
8.6%
동 35
 
8.6%
가 18
 
4.4%
신 11
 
2.7%
Other values (38) 91
22.4%
Common
ValueCountFrequency (%)
120
36.1%
1 46
 
13.9%
3 35
 
10.5%
- 32
 
9.6%
2 23
 
6.9%
7 19
 
5.7%
5 13
 
3.9%
4 9
 
2.7%
0 7
 
2.1%
9 7
 
2.1%
Other values (5) 21
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
55.0%
ASCII 332
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
36.1%
1 46
 
13.9%
3 35
 
10.5%
- 32
 
9.6%
2 23
 
6.9%
7 19
 
5.7%
5 13
 
3.9%
4 9
 
2.7%
0 7
 
2.1%
9 7
 
2.1%
Other values (5) 21
 
6.3%
Hangul
ValueCountFrequency (%)
역 38
9.4%
중 37
9.1%
시 36
 
8.9%
인 35
 
8.6%
광 35
 
8.6%
구 35
 
8.6%
천 35
 
8.6%
동 35
 
8.6%
가 18
 
4.4%
신 11
 
2.7%
Other values (38) 91
22.4%

전화번호
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-29T02:20:54.293945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique33 ?
Unique (%)94.3%

Sample

1st row032-761-3338
2nd row032-764-0023
3rd row032-884-0614
4th row032-882-6897
5th row032-884-8544
ValueCountFrequency (%)
032-742-8681 2
 
5.7%
032-764-0023 1
 
2.9%
032-751-7722 1
 
2.9%
032-752-5149 1
 
2.9%
032-746-6885 1
 
2.9%
032-751-5145 1
 
2.9%
032-752-0051 1
 
2.9%
032-751-0051 1
 
2.9%
032-743-5256 1
 
2.9%
032-881-8833 1
 
2.9%
Other values (24) 24
68.6%
2024-01-29T02:20:54.562182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.7%
8 55
13.1%
0 53
12.6%
2 53
12.6%
3 46
11.0%
5 33
7.9%
1 32
7.6%
7 30
7.1%
4 25
 
6.0%
6 15
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 55
15.7%
0 53
15.1%
2 53
15.1%
3 46
13.1%
5 33
9.4%
1 32
9.1%
7 30
8.6%
4 25
7.1%
6 15
 
4.3%
9 8
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.7%
8 55
13.1%
0 53
12.6%
2 53
12.6%
3 46
11.0%
5 33
7.9%
1 32
7.6%
7 30
7.1%
4 25
 
6.0%
6 15
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.7%
8 55
13.1%
0 53
12.6%
2 53
12.6%
3 46
11.0%
5 33
7.9%
1 32
7.6%
7 30
7.1%
4 25
 
6.0%
6 15
 
3.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-07-20
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-20
2nd row2023-07-20
3rd row2023-07-20
4th row2023-07-20
5th row2023-07-20

Common Values

ValueCountFrequency (%)
2023-07-20 35
100.0%

Length

2024-01-29T02:20:54.665892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:20:54.738894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-20 35
100.0%

Correlations

2024-01-29T02:20:54.784033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상 호주 소전화번호
상 호1.0001.0001.000
주 소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-01-29T02:20:52.830337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:20:52.909750image/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

상 호주 소전화번호데이터기준일
0동양산업(주)사동주유소인천광역시 중구 사동 24-10032-761-33382023-07-20
1영진주유소인천광역시 중구 사동 15-22032-764-00232023-07-20
2신화상사㈜ 구도일 주유소 신화제일인천광역시 중구 신흥동3가 36-12 외032-884-06142023-07-20
3씨제이대한통운㈜항만주유소인천광역시 중구 항동7가 27-148032-882-68972023-07-20
4동양산업㈜직영항동주유소인천광역시 중구 항동7가 91-12032-884-85442023-07-20
5㈜동성주유소인천광역시 중구 신흥동3가 34032-881-45202023-07-20
6삼신주유소인천광역시 중구 신흥동3가 31-33032-881-88512023-07-20
7한국주유소인천광역시 중구 신흥동3가 31-21, 30032-888-24112023-07-20
8새천년주유소인천광역시 중구 신흥동3가 15-1 외032-764-51822023-07-20
9한국3주유소인천광역시 중구 신흥동3가 39-17032-881-88332023-07-20
상 호주 소전화번호데이터기준일
25GS칼텍스㈜지원3점인천광역시 중구 운서동 2172-1 항공기정비시설지역032-742-86812023-07-20
26GS칼텍스㈜지원4점인천광역시 중구 운서동 2172-1 화물터미널지역032-743-52562023-07-20
27백운주유소㈜인천광역시 중구 운남동 324-1032-751-00512023-07-20
28태성주유소인천광역시 중구 중산동 1455032-752-00512023-07-20
29㈜허브에너지제1주유소인천광역시 중구 운북동 56-18 외 1필지032-751-51452023-07-20
30공항주유소인천광역시 중구 덕교동 128-22032-746-68852023-07-20
31주식회사 오성주유소인천광역시 중구 남북로 174(남북동)032-752-51492023-07-20
32㈜을왕주유소인천광역시 중구 용유서로 460(을왕동)032-751-77222023-07-20
33무진에너지㈜스카이주유소인천광역시 중구 공항서로 187(남북동)032-747-01312023-07-20
34지에스칼텍스㈜제2여객터미널점인천광역시 중구 운서동 3231-1032-742-86812023-07-20