Overview

Dataset statistics

Number of variables4
Number of observations130
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory33.0 B

Variable types

Text3
DateTime1

Dataset

Description에너지관리 업무 관련 제주특별자치도 제주시 관내 주유소와 관련한 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/3083317/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
상호 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:21:57.281365
Analysis finished2023-12-12 01:21:57.689248
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:21:57.920958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length7.2538462
Min length6

Characters and Unicode

Total characters943
Distinct characters154
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

Unique130 ?
Unique (%)100.0%

Sample

1st row(주)무수천주유소
2nd row㈜새신테크 이호주유소
3rd row(주)회천주유소
4th row거북이주유소
5th row고산주유소
ValueCountFrequency (%)
삼화석유㈜ 5
 
3.5%
제주시농협 3
 
2.1%
별표주유소 2
 
1.4%
우리주유소 2
 
1.4%
유수암주유소 1
 
0.7%
유성주유소 1
 
0.7%
월산주유소 1
 
0.7%
원남주유소 1
 
0.7%
연동주유소 1
 
0.7%
이좋은주유소 1
 
0.7%
Other values (124) 124
87.3%
2023-12-12T10:21:58.346285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 140
14.8%
139
14.7%
주 138
14.6%
소 130
13.8%
동 15
 
1.6%
삼 15
 
1.6%
화 11
 
1.2%
협 11
 
1.2%
농 11
 
1.2%
도 11
 
1.2%
Other values (144) 322
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 788
83.6%
Space Separator 139
 
14.7%
Other Symbol 8
 
0.8%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 140
17.8%
주 138
17.5%
소 130
16.5%
동 15
 
1.9%
삼 15
 
1.9%
화 11
 
1.4%
협 11
 
1.4%
농 11
 
1.4%
도 11
 
1.4%
남 9
 
1.1%
Other values (140) 297
37.7%
Space Separator
ValueCountFrequency (%)
139
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
84.4%
Common 147
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 140
17.6%
주 138
17.3%
소 130
16.3%
동 15
 
1.9%
삼 15
 
1.9%
화 11
 
1.4%
협 11
 
1.4%
농 11
 
1.4%
도 11
 
1.4%
남 9
 
1.1%
Other values (141) 305
38.3%
Common
ValueCountFrequency (%)
139
94.6%
( 4
 
2.7%
) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 788
83.6%
ASCII 147
 
15.6%
None 8
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 140
17.8%
주 138
17.5%
소 130
16.5%
동 15
 
1.9%
삼 15
 
1.9%
화 11
 
1.4%
협 11
 
1.4%
농 11
 
1.4%
도 11
 
1.4%
남 9
 
1.1%
Other values (140) 297
37.7%
ASCII
ValueCountFrequency (%)
139
94.6%
( 4
 
2.7%
) 4
 
2.7%
None
ValueCountFrequency (%)
㈜ 8
100.0%

주소
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:21:58.836694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25.5
Mean length21.753846
Min length19

Characters and Unicode

Total characters2828
Distinct characters86
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

Unique130 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 노형로 45
2nd row제주특별자치도 제주시 일주서로 7629
3rd row제주특별자치도 제주시 번영로 937
4th row제주특별자치도 제주시 서광로 58
5th row제주특별자치도 제주시 한경면 고산로 5
ValueCountFrequency (%)
제주특별자치도 130
23.1%
제주시 130
23.1%
일주서로 17
 
3.0%
연삼로 15
 
2.7%
일주동로 14
 
2.5%
애월읍 12
 
2.1%
조천읍 12
 
2.1%
노형로 9
 
1.6%
구좌읍 8
 
1.4%
번영로 8
 
1.4%
Other values (170) 208
36.9%
2023-12-12T10:21:59.494476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
20.2%
주 291
 
10.3%
제 260
 
9.2%
도 133
 
4.7%
자 132
 
4.7%
특 130
 
4.6%
별 130
 
4.6%
치 130
 
4.6%
시 130
 
4.6%
로 128
 
4.5%
Other values (76) 793
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1860
65.8%
Space Separator 571
 
20.2%
Decimal Number 396
 
14.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 291
15.6%
제 260
14.0%
도 133
 
7.2%
자 132
 
7.1%
특 130
 
7.0%
별 130
 
7.0%
치 130
 
7.0%
시 130
 
7.0%
로 128
 
6.9%
읍 38
 
2.0%
Other values (64) 358
19.2%
Decimal Number
ValueCountFrequency (%)
1 64
16.2%
2 53
13.4%
7 49
12.4%
4 39
9.8%
3 38
9.6%
8 34
8.6%
5 33
8.3%
0 31
7.8%
9 30
7.6%
6 25
 
6.3%
Space Separator
ValueCountFrequency (%)
571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1860
65.8%
Common 968
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 291
15.6%
제 260
14.0%
도 133
 
7.2%
자 132
 
7.1%
특 130
 
7.0%
별 130
 
7.0%
치 130
 
7.0%
시 130
 
7.0%
로 128
 
6.9%
읍 38
 
2.0%
Other values (64) 358
19.2%
Common
ValueCountFrequency (%)
571
59.0%
1 64
 
6.6%
2 53
 
5.5%
7 49
 
5.1%
4 39
 
4.0%
3 38
 
3.9%
8 34
 
3.5%
5 33
 
3.4%
0 31
 
3.2%
9 30
 
3.1%
Other values (2) 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1860
65.8%
ASCII 968
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
59.0%
1 64
 
6.6%
2 53
 
5.5%
7 49
 
5.1%
4 39
 
4.0%
3 38
 
3.9%
8 34
 
3.5%
5 33
 
3.4%
0 31
 
3.2%
9 30
 
3.1%
Other values (2) 26
 
2.7%
Hangul
ValueCountFrequency (%)
주 291
15.6%
제 260
14.0%
도 133
 
7.2%
자 132
 
7.1%
특 130
 
7.0%
별 130
 
7.0%
치 130
 
7.0%
시 130
 
7.0%
로 128
 
6.9%
읍 38
 
2.0%
Other values (64) 358
19.2%

연락처
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:21:59.873188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007692
Min length12

Characters and Unicode

Total characters1561
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

Unique130 ?
Unique (%)100.0%

Sample

1st row064-748-1515
2nd row064-747-0033
3rd row064-721-9222
4th row064-743-4777
5th row064-772-2626
ValueCountFrequency (%)
064-748-1515 1
 
0.8%
064-721-2025 1
 
0.8%
064-742-3529 1
 
0.8%
064-746-4687 1
 
0.8%
064-799-5185 1
 
0.8%
064-782-1288 1
 
0.8%
064-746-2288 1
 
0.8%
064-759-5189 1
 
0.8%
064-711-9111 1
 
0.8%
064-757-5730 1
 
0.8%
Other values (120) 120
92.3%
2023-12-12T10:22:00.352525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 260
16.7%
4 209
13.4%
6 178
11.4%
7 176
11.3%
0 174
11.1%
5 137
8.8%
1 110
7.0%
2 102
 
6.5%
8 87
 
5.6%
3 65
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1301
83.3%
Dash Punctuation 260
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 209
16.1%
6 178
13.7%
7 176
13.5%
0 174
13.4%
5 137
10.5%
1 110
8.5%
2 102
7.8%
8 87
6.7%
3 65
 
5.0%
9 63
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1561
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 260
16.7%
4 209
13.4%
6 178
11.4%
7 176
11.3%
0 174
11.1%
5 137
8.8%
1 110
7.0%
2 102
 
6.5%
8 87
 
5.6%
3 65
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 260
16.7%
4 209
13.4%
6 178
11.4%
7 176
11.3%
0 174
11.1%
5 137
8.8%
1 110
7.0%
2 102
 
6.5%
8 87
 
5.6%
3 65
 
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2020-12-30 00:00:00
Maximum2020-12-30 00:00:00
2023-12-12T10:22:00.485065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:22:00.601037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T10:21:57.518682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:21:57.644299image/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

상호주소연락처데이터기준일자
0(주)무수천주유소제주특별자치도 제주시 노형로 45064-748-15152020-12-30
1㈜새신테크 이호주유소제주특별자치도 제주시 일주서로 7629064-747-00332020-12-30
2(주)회천주유소제주특별자치도 제주시 번영로 937064-721-92222020-12-30
3거북이주유소제주특별자치도 제주시 서광로 58064-743-47772020-12-30
4고산주유소제주특별자치도 제주시 한경면 고산로 5064-772-26262020-12-30
5공단주유소제주특별자치도 제주시 연삼로 727064-755-25552020-12-30
6광동주유소제주특별자치도 제주시 일주서로 7832064-742-25252020-12-30
7구도일주유소 한라제주특별자치도 제주시 애월읍 평화로 2692064-748-51912020-12-30
8구좌농협우도주유소제주특별자치도 제주시 우도면 우도로 147064-783-40402020-12-30
9구좌농협주유센터제주특별자치도 제주시 구좌읍 일주동로 3190064-783-51502020-12-30
상호주소연락처데이터기준일자
120함덕 우리주유소제주특별자치도 제주시 조천읍 신북로 448064-783-82522020-12-30
121함덕농협하나로주유소제주특별자치도 제주시 조천읍 함와로 40064-780-88902020-12-30
122함덕주유소제주특별자치도 제주시 조천읍 신북로 603064-783-85092020-12-30
123합동청사주유소제주특별자치도 제주시 연삼로 314064-755-51492020-12-30
124행복주유소제주특별자치도 제주시 조천읍 일주동로 1602064-783-58882020-12-30
125행운주유소제주특별자치도 제주시 도리로 90064-743-17442020-12-30
126오름주유소제주특별자치도 제주시 연북로 209064-746-65652020-12-30
127현대주유소제주특별자치도 제주시 용문로 131064-711-14402020-12-30
128청년주유소제주특별자치도 제주시 구좌읍 조천우회로984070-8900-58842020-12-30
129삼화석유㈜만남의광장주유소제주특별자치도 제주시 노형로 121064-712-51422020-12-30