Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells24
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Categorical1
Text4

Dataset

Description대전광역시 동구 관내 가스사업자 현황에 관한 데이터로서, 사업자구분, 업소명, 소재지 주소 등의 정보를 포함하고 있습니다.
Author대전광역시 동구
URLhttps://www.data.go.kr/data/3081083/fileData.do

Alerts

특이사항 has constant value ""Constant
특이사항 has 24 (96.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:27:01.866811
Analysis finished2023-12-12 14:27:02.287080
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업자구분
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
액화석유가스판매소
12 
액화석유가스충전소
6 
고압가스충전소
3 
도시가스충전소
2 
고압가스판매소
2 

Length

Max length9
Median length9
Mean length8.44
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도시가스충전소
2nd row도시가스충전소
3rd row고압가스판매소
4th row고압가스판매소
5th row액화석유가스충전소

Common Values

ValueCountFrequency (%)
액화석유가스판매소 12
48.0%
액화석유가스충전소 6
24.0%
고압가스충전소 3
 
12.0%
도시가스충전소 2
 
8.0%
고압가스판매소 2
 
8.0%

Length

2023-12-12T23:27:02.387868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:27:02.536401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
액화석유가스판매소 12
48.0%
액화석유가스충전소 6
24.0%
고압가스충전소 3
 
12.0%
도시가스충전소 2
 
8.0%
고압가스판매소 2
 
8.0%

업소명
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T23:27:02.780573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.08
Min length4

Characters and Unicode

Total characters202
Distinct characters79
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row한국그린충전주식회사대전지사
2nd row㈜씨엔씨티에너지 용운CNG충전소
3rd row대명종합가스
4th row빙그레산업가스테크
5th row중도가스충전소
ValueCountFrequency (%)
대명종합가스 2
 
6.2%
빙그레산업가스테크 2
 
6.2%
중도가스충전소 2
 
6.2%
영진가스 1
 
3.1%
대전삼정 1
 
3.1%
하이넷 1
 
3.1%
한국그린충전주식회사대전지사 1
 
3.1%
빙그레가스 1
 
3.1%
대전도시공사낭월수소버스충전소 1
 
3.1%
현대가스 1
 
3.1%
Other values (19) 19
59.4%
2023-12-12T23:27:03.160130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 19
 
9.4%
가 17
 
8.4%
전 17
 
8.4%
소 12
 
5.9%
대 11
 
5.4%
충 11
 
5.4%
10
 
5.0%
사 4
 
2.0%
그 4
 
2.0%
도 3
 
1.5%
Other values (69) 94
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
89.6%
Space Separator 10
 
5.0%
Uppercase Letter 10
 
5.0%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
 
10.5%
가 17
 
9.4%
전 17
 
9.4%
소 12
 
6.6%
대 11
 
6.1%
충 11
 
6.1%
사 4
 
2.2%
그 4
 
2.2%
도 3
 
1.7%
빙 3
 
1.7%
Other values (61) 80
44.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
I 2
20.0%
G 2
20.0%
P 1
 
10.0%
L 1
 
10.0%
N 1
 
10.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
90.1%
Common 10
 
5.0%
Latin 10
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
 
10.4%
가 17
 
9.3%
전 17
 
9.3%
소 12
 
6.6%
대 11
 
6.0%
충 11
 
6.0%
사 4
 
2.2%
그 4
 
2.2%
도 3
 
1.6%
빙 3
 
1.6%
Other values (62) 81
44.5%
Latin
ValueCountFrequency (%)
C 3
30.0%
I 2
20.0%
G 2
20.0%
P 1
 
10.0%
L 1
 
10.0%
N 1
 
10.0%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
89.6%
ASCII 20
 
9.9%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 19
 
10.5%
가 17
 
9.4%
전 17
 
9.4%
소 12
 
6.6%
대 11
 
6.1%
충 11
 
6.1%
사 4
 
2.2%
그 4
 
2.2%
도 3
 
1.7%
빙 3
 
1.7%
Other values (61) 80
44.2%
ASCII
ValueCountFrequency (%)
10
50.0%
C 3
 
15.0%
I 2
 
10.0%
G 2
 
10.0%
P 1
 
5.0%
L 1
 
5.0%
N 1
 
5.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T23:27:03.440160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length22.52
Min length19

Characters and Unicode

Total characters563
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row대전광역시 동구 금산로 471 (구도동)
2nd row대전광역시 동구 동부로 246 (용운동)
3rd row대전광역시 동구 이사로 128 (이사동)
4th row대전광역시 동구 하소중로 66(하소동)
5th row대전광역시 동구 대전로 295 (대성동)
ValueCountFrequency (%)
대전광역시 25
20.5%
동구 25
20.5%
이사동 5
 
4.1%
대전로 5
 
4.1%
이사로 3
 
2.5%
대성동 3
 
2.5%
구도동 3
 
2.5%
옥천로 3
 
2.5%
128 2
 
1.6%
하소중로 2
 
1.6%
Other values (44) 46
37.7%
2023-12-12T23:27:03.833301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
17.2%
동 54
 
9.6%
대 39
 
6.9%
전 33
 
5.9%
구 28
 
5.0%
광 25
 
4.4%
역 25
 
4.4%
시 25
 
4.4%
( 22
 
3.9%
) 22
 
3.9%
Other values (54) 193
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
60.6%
Space Separator 97
 
17.2%
Decimal Number 78
 
13.9%
Open Punctuation 22
 
3.9%
Close Punctuation 22
 
3.9%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
15.8%
대 39
11.4%
전 33
9.7%
구 28
 
8.2%
광 25
 
7.3%
역 25
 
7.3%
시 25
 
7.3%
로 21
 
6.2%
사 9
 
2.6%
이 9
 
2.6%
Other values (40) 73
21.4%
Decimal Number
ValueCountFrequency (%)
1 15
19.2%
2 13
16.7%
6 10
12.8%
5 7
9.0%
4 6
 
7.7%
0 6
 
7.7%
3 6
 
7.7%
8 6
 
7.7%
9 5
 
6.4%
7 4
 
5.1%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
60.6%
Common 222
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
15.8%
대 39
11.4%
전 33
9.7%
구 28
 
8.2%
광 25
 
7.3%
역 25
 
7.3%
시 25
 
7.3%
로 21
 
6.2%
사 9
 
2.6%
이 9
 
2.6%
Other values (40) 73
21.4%
Common
ValueCountFrequency (%)
97
43.7%
( 22
 
9.9%
) 22
 
9.9%
1 15
 
6.8%
2 13
 
5.9%
6 10
 
4.5%
5 7
 
3.2%
4 6
 
2.7%
0 6
 
2.7%
3 6
 
2.7%
Other values (4) 18
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
60.6%
ASCII 222
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
43.7%
( 22
 
9.9%
) 22
 
9.9%
1 15
 
6.8%
2 13
 
5.9%
6 10
 
4.5%
5 7
 
3.2%
4 6
 
2.7%
0 6
 
2.7%
3 6
 
2.7%
Other values (4) 18
 
8.1%
Hangul
ValueCountFrequency (%)
동 54
15.8%
대 39
11.4%
전 33
9.7%
구 28
 
8.2%
광 25
 
7.3%
역 25
 
7.3%
시 25
 
7.3%
로 21
 
6.2%
사 9
 
2.6%
이 9
 
2.6%
Other values (40) 73
21.4%

전화번호
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T23:27:04.076106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique19 ?
Unique (%)76.0%

Sample

1st row042-229-3523
2nd row042-273-7480
3rd row042-272-0246
4th row042-283-3191
5th row042-282-2312
ValueCountFrequency (%)
042-272-0246 2
 
8.0%
042-283-3191 2
 
8.0%
042-282-2312 2
 
8.0%
042-273-9588 1
 
4.0%
042-229-3523 1
 
4.0%
042-282-4643 1
 
4.0%
042-530-9147 1
 
4.0%
042-274-0061 1
 
4.0%
042-273-9800 1
 
4.0%
042-271-1113 1
 
4.0%
Other values (12) 12
48.0%
2023-12-12T23:27:04.439181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 66
22.0%
- 50
16.7%
0 48
16.0%
4 39
13.0%
3 19
 
6.3%
7 18
 
6.0%
8 16
 
5.3%
1 16
 
5.3%
6 14
 
4.7%
9 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 66
26.4%
0 48
19.2%
4 39
15.6%
3 19
 
7.6%
7 18
 
7.2%
8 16
 
6.4%
1 16
 
6.4%
6 14
 
5.6%
9 9
 
3.6%
5 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 66
22.0%
- 50
16.7%
0 48
16.0%
4 39
13.0%
3 19
 
6.3%
7 18
 
6.0%
8 16
 
5.3%
1 16
 
5.3%
6 14
 
4.7%
9 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 66
22.0%
- 50
16.7%
0 48
16.0%
4 39
13.0%
3 19
 
6.3%
7 18
 
6.0%
8 16
 
5.3%
1 16
 
5.3%
6 14
 
4.7%
9 9
 
3.0%

특이사항
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2023-12-12T23:27:04.586310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row미개시
ValueCountFrequency (%)
미개시 1
100.0%
2023-12-12T23:27:04.842832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 1
33.3%
개 1
33.3%
시 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 1
33.3%
개 1
33.3%
시 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 1
33.3%
개 1
33.3%
시 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 1
33.3%
개 1
33.3%
시 1
33.3%

Correlations

2023-12-12T23:27:04.939966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자구분업소명소재지전화번호
사업자구분1.0000.0000.0000.000
업소명0.0001.0001.0001.000
소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-12T23:27:02.123821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:27:02.240364image/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

사업자구분업소명소재지전화번호특이사항
0도시가스충전소한국그린충전주식회사대전지사대전광역시 동구 금산로 471 (구도동)042-229-3523<NA>
1도시가스충전소㈜씨엔씨티에너지 용운CNG충전소대전광역시 동구 동부로 246 (용운동)042-273-7480<NA>
2고압가스판매소대명종합가스대전광역시 동구 이사로 128 (이사동)042-272-0246<NA>
3고압가스판매소빙그레산업가스테크대전광역시 동구 하소중로 66(하소동)042-283-3191<NA>
4액화석유가스충전소중도가스충전소대전광역시 동구 대전로 295 (대성동)042-282-2312<NA>
5액화석유가스충전소고속가스충전소대전광역시 동구 동서대로 1660 (성남동)042-634-0002<NA>
6액화석유가스충전소대양가스충전소대전광역시 동구 동대전로 312 (가양동)042-634-2612<NA>
7액화석유가스충전소판암IC충 전 소대전광역시 동구 옥천로 309 (삼정동)042-271-4450<NA>
8액화석유가스충전소내트럭하우스 남대전사업소대전광역시 동구 구도동 남대전물류단지 내 공영차고지042-271-5674<NA>
9액화석유가스충전소남대전IC LPG충전소대전광역시 동구 대전로 242 (대성동)042-271-0046<NA>
사업자구분업소명소재지전화번호특이사항
15액화석유가스판매소동부가스대전광역시 동구 대전로 289 (대성동)042-282-8282<NA>
16액화석유가스판매소대명종합가스대전광역시 동구 이사로 128 (이사동)042-272-0246<NA>
17액화석유가스판매소유공가스대전광역시 동구 옥천로 247 (판암동)042-274-6636<NA>
18액화석유가스판매소대전선화가스대전광역시 동구 산서로 1556 (대별동)042-271-1113<NA>
19액화석유가스판매소서울가스대전광역시 동구 모암로153 (이사동)042-273-9800<NA>
20액화석유가스판매소현대가스대전광역시 동구 이사로122번길 208 (이사동)042-274-0061<NA>
21액화석유가스판매소빙그레산업가스테크대전광역시 동구 하소중로 66(하소동)042-283-3191<NA>
22고압가스충전소중도가스충전소대전광역시 동구 대전로 295(대성동)042-282-2312<NA>
23고압가스충전소대전도시공사낭월수소버스충전소대전광역시 동구 구도동 77-4번지 외 5필지042-530-9147<NA>
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