Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description경상북도 구미시에 등록된 LPG충전소 현황으로 상호명, 대표자, 도로명주소, 전화번호등의 데이터를 제공합니다.
Author경상북도 구미시
URLhttps://www.data.go.kr/data/3069585/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:40:39.914245
Analysis finished2023-12-12 17:40:40.517615
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T02:40:40.588032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-13T02:40:40.729388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

상호명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:40:40.986148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.9615385
Min length6

Characters and Unicode

Total characters259
Distinct characters68
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row구미LPG충전소
2nd row구미광평LPG충전소
3rd row구미개인택시조합충전소
4th row문화가스충전소
5th row구미가스충전소
ValueCountFrequency (%)
선산산업(주 2
 
6.1%
주)신라충전소 2
 
6.1%
선산충전소 2
 
6.1%
구미광평lpg충전소 1
 
3.0%
양포lpg충전소 1
 
3.0%
구미보충전소 1
 
3.0%
원평지점 1
 
3.0%
금오공대입구충전소 1
 
3.0%
강동엘피지충전소 1
 
3.0%
지산엘피지충전소 1
 
3.0%
Other values (20) 20
60.6%
2023-12-13T02:40:41.362728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
충 26
 
10.0%
전 26
 
10.0%
소 26
 
10.0%
지 13
 
5.0%
구 9
 
3.5%
미 9
 
3.5%
) 9
 
3.5%
( 9
 
3.5%
주 8
 
3.1%
산 8
 
3.1%
Other values (58) 116
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
85.7%
Uppercase Letter 11
 
4.2%
Close Punctuation 9
 
3.5%
Open Punctuation 9
 
3.5%
Space Separator 7
 
2.7%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 26
 
11.7%
전 26
 
11.7%
소 26
 
11.7%
지 13
 
5.9%
구 9
 
4.1%
미 9
 
4.1%
주 8
 
3.6%
산 8
 
3.6%
선 7
 
3.2%
피 7
 
3.2%
Other values (49) 83
37.4%
Uppercase Letter
ValueCountFrequency (%)
L 3
27.3%
P 3
27.3%
G 3
27.3%
C 1
 
9.1%
I 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
85.7%
Common 26
 
10.0%
Latin 11
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 26
 
11.7%
전 26
 
11.7%
소 26
 
11.7%
지 13
 
5.9%
구 9
 
4.1%
미 9
 
4.1%
주 8
 
3.6%
산 8
 
3.6%
선 7
 
3.2%
피 7
 
3.2%
Other values (49) 83
37.4%
Latin
ValueCountFrequency (%)
L 3
27.3%
P 3
27.3%
G 3
27.3%
C 1
 
9.1%
I 1
 
9.1%
Common
ValueCountFrequency (%)
) 9
34.6%
( 9
34.6%
7
26.9%
2 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
85.7%
ASCII 37
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
충 26
 
11.7%
전 26
 
11.7%
소 26
 
11.7%
지 13
 
5.9%
구 9
 
4.1%
미 9
 
4.1%
주 8
 
3.6%
산 8
 
3.6%
선 7
 
3.2%
피 7
 
3.2%
Other values (49) 83
37.4%
ASCII
ValueCountFrequency (%)
) 9
24.3%
( 9
24.3%
7
18.9%
L 3
 
8.1%
P 3
 
8.1%
G 3
 
8.1%
C 1
 
2.7%
I 1
 
2.7%
2 1
 
2.7%

대표자
Text

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:40:41.568734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2307692
Min length3

Characters and Unicode

Total characters84
Distinct characters50
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)61.5%

Sample

1st row정주석
2nd row변용식
3rd row남승호
4th row남승호
5th row최승인
ValueCountFrequency (%)
박치웅 2
 
7.7%
차상국 2
 
7.7%
박용인 2
 
7.7%
남승호 2
 
7.7%
박희천 2
 
7.7%
정주석 1
 
3.8%
이명욱외1 1
 
3.8%
한다정 1
 
3.8%
김정훈 1
 
3.8%
김동조 1
 
3.8%
Other values (11) 11
42.3%
2023-12-13T02:40:41.924201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 6
 
7.1%
승 4
 
4.8%
김 4
 
4.8%
정 4
 
4.8%
용 3
 
3.6%
인 3
 
3.6%
남 3
 
3.6%
1 3
 
3.6%
외 3
 
3.6%
천 2
 
2.4%
Other values (40) 49
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
96.4%
Decimal Number 3
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 6
 
7.4%
승 4
 
4.9%
김 4
 
4.9%
정 4
 
4.9%
용 3
 
3.7%
인 3
 
3.7%
남 3
 
3.7%
외 3
 
3.7%
천 2
 
2.5%
차 2
 
2.5%
Other values (39) 47
58.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
96.4%
Common 3
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 6
 
7.4%
승 4
 
4.9%
김 4
 
4.9%
정 4
 
4.9%
용 3
 
3.7%
인 3
 
3.7%
남 3
 
3.7%
외 3
 
3.7%
천 2
 
2.5%
차 2
 
2.5%
Other values (39) 47
58.0%
Common
ValueCountFrequency (%)
1 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
96.4%
ASCII 3
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 6
 
7.4%
승 4
 
4.9%
김 4
 
4.9%
정 4
 
4.9%
용 3
 
3.7%
인 3
 
3.7%
남 3
 
3.7%
외 3
 
3.7%
천 2
 
2.5%
차 2
 
2.5%
Other values (39) 47
58.0%
ASCII
ValueCountFrequency (%)
1 3
100.0%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:40:42.166614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length20.5
Min length14

Characters and Unicode

Total characters533
Distinct characters78
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경상북도 구미시 구미대로 276
2nd row경상북도 구미시 수출대로 17
3rd row경상북도 구미시 야은로 350
4th row경상북도 구미시 구미중앙로 160-1
5th row경상북도 구미시 신비로 155
ValueCountFrequency (%)
경상북도 26
22.0%
구미시 26
22.0%
야은로 4
 
3.4%
인동가산로 2
 
1.7%
낙동대로 2
 
1.7%
중부내륙고속도로 2
 
1.7%
옥성면 2
 
1.7%
장천면 2
 
1.7%
선산대로 2
 
1.7%
고아읍 2
 
1.7%
Other values (45) 48
40.7%
2023-12-13T02:40:42.552657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
17.3%
도 29
 
5.4%
구 28
 
5.3%
미 28
 
5.3%
경 26
 
4.9%
상 26
 
4.9%
북 26
 
4.9%
시 26
 
4.9%
로 24
 
4.5%
1 18
 
3.4%
Other values (68) 210
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
64.0%
Space Separator 92
 
17.3%
Decimal Number 88
 
16.5%
Dash Punctuation 5
 
0.9%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 29
 
8.5%
구 28
 
8.2%
미 28
 
8.2%
경 26
 
7.6%
상 26
 
7.6%
북 26
 
7.6%
시 26
 
7.6%
로 24
 
7.0%
대 12
 
3.5%
산 8
 
2.3%
Other values (53) 108
31.7%
Decimal Number
ValueCountFrequency (%)
1 18
20.5%
4 12
13.6%
2 12
13.6%
5 10
11.4%
3 9
10.2%
0 8
9.1%
6 7
 
8.0%
9 4
 
4.5%
7 4
 
4.5%
8 4
 
4.5%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
64.0%
Common 192
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 29
 
8.5%
구 28
 
8.2%
미 28
 
8.2%
경 26
 
7.6%
상 26
 
7.6%
북 26
 
7.6%
시 26
 
7.6%
로 24
 
7.0%
대 12
 
3.5%
산 8
 
2.3%
Other values (53) 108
31.7%
Common
ValueCountFrequency (%)
92
47.9%
1 18
 
9.4%
4 12
 
6.2%
2 12
 
6.2%
5 10
 
5.2%
3 9
 
4.7%
0 8
 
4.2%
6 7
 
3.6%
- 5
 
2.6%
9 4
 
2.1%
Other values (5) 15
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
64.0%
ASCII 192
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
47.9%
1 18
 
9.4%
4 12
 
6.2%
2 12
 
6.2%
5 10
 
5.2%
3 9
 
4.7%
0 8
 
4.2%
6 7
 
3.6%
- 5
 
2.6%
9 4
 
2.1%
Other values (5) 15
 
7.8%
Hangul
ValueCountFrequency (%)
도 29
 
8.5%
구 28
 
8.2%
미 28
 
8.2%
경 26
 
7.6%
상 26
 
7.6%
북 26
 
7.6%
시 26
 
7.6%
로 24
 
7.0%
대 12
 
3.5%
산 8
 
2.3%
Other values (53) 108
31.7%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T02:40:42.778957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row054-463-5115
2nd row054-463-8801
3rd row054-444-7975
4th row054-454-5601
5th row054-452-2077
ValueCountFrequency (%)
054-463-5115 1
 
3.8%
054-463-8801 1
 
3.8%
054-475-0652 1
 
3.8%
054-456-7777 1
 
3.8%
054-456-5989 1
 
3.8%
054-465-0017 1
 
3.8%
054-475-6200 1
 
3.8%
054-472-0019 1
 
3.8%
054-452-3200 1
 
3.8%
054-465-3375 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T02:40:43.103995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 61
19.6%
5 53
17.0%
- 52
16.7%
0 48
15.4%
7 24
 
7.7%
6 23
 
7.4%
2 17
 
5.4%
1 13
 
4.2%
3 9
 
2.9%
8 7
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 61
23.5%
5 53
20.4%
0 48
18.5%
7 24
 
9.2%
6 23
 
8.8%
2 17
 
6.5%
1 13
 
5.0%
3 9
 
3.5%
8 7
 
2.7%
9 5
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 61
19.6%
5 53
17.0%
- 52
16.7%
0 48
15.4%
7 24
 
7.7%
6 23
 
7.4%
2 17
 
5.4%
1 13
 
4.2%
3 9
 
2.9%
8 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 61
19.6%
5 53
17.0%
- 52
16.7%
0 48
15.4%
7 24
 
7.7%
6 23
 
7.4%
2 17
 
5.4%
1 13
 
4.2%
3 9
 
2.9%
8 7
 
2.2%

비고
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
자동차충전
19 
용기+자동차+13kg용기
4 
자동차+탱크
 
1
자동차+13kg용기
 
1
용기+자동차+탱크+13kg용기
 
1

Length

Max length16
Median length5
Mean length6.8846154
Min length5

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row용기+자동차+13kg용기
2nd row용기+자동차+13kg용기
3rd row자동차충전
4th row용기+자동차+13kg용기
5th row용기+자동차+13kg용기

Common Values

ValueCountFrequency (%)
자동차충전 19
73.1%
용기+자동차+13kg용기 4
 
15.4%
자동차+탱크 1
 
3.8%
자동차+13kg용기 1
 
3.8%
용기+자동차+탱크+13kg용기 1
 
3.8%

Length

2023-12-13T02:40:43.232026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:40:43.324869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차충전 19
73.1%
용기+자동차+13kg용기 4
 
15.4%
자동차+탱크 1
 
3.8%
자동차+13kg용기 1
 
3.8%
용기+자동차+탱크+13kg용기 1
 
3.8%

Interactions

2023-12-13T02:40:40.217471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:40:43.394903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명대표자도로명주소전화번호비고
연번1.0001.0000.6981.0001.0000.674
상호명1.0001.0001.0001.0001.0001.000
대표자0.6981.0001.0001.0001.0000.774
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
비고0.6741.0000.7741.0001.0001.000
2023-12-13T02:40:43.478240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번비고
연번1.0000.346
비고0.3461.000

Missing values

2023-12-13T02:40:40.339213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:40:40.474391image/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

연번상호명대표자도로명주소전화번호비고
01구미LPG충전소정주석경상북도 구미시 구미대로 276054-463-5115용기+자동차+13kg용기
12구미광평LPG충전소변용식경상북도 구미시 수출대로 17054-463-8801용기+자동차+13kg용기
23구미개인택시조합충전소남승호경상북도 구미시 야은로 350054-444-7975자동차충전
34문화가스충전소남승호경상북도 구미시 구미중앙로 160-1054-454-5601용기+자동차+13kg용기
45구미가스충전소최승인경상북도 구미시 신비로 155054-452-2077용기+자동차+13kg용기
56오성가스충전소민홍기외1경상북도 구미시 수출대로 106054-463-6504자동차충전
67인동엘피지충전소박희천경상북도 구미시 인동가산로 454054-475-2456자동차+탱크
78(주)일선에너지 오태충전소차상국경상북도 구미시 오태길 5054-464-1151자동차충전
89뉴태성충전소한광수경상북도 구미시 금오대로 486 임은동가스충전소054-464-6229자동차충전
910구미개인택시2충전소정경문경상북도 구미시 박정희로 294054-463-0066자동차충전
연번상호명대표자도로명주소전화번호비고
1617경북엘피지충전소이명욱외1경상북도 구미시 고아읍 선산대로 514054-451-5277자동차+13kg용기
1718(주)일선우리엘피지충전소김중곤경상북도 구미시 금오대로 413054-465-3375자동차충전
1819지산엘피지충전소김승민경상북도 구미시 야은로 523 지산동가스충전소054-452-3200자동차충전
1920강동엘피지충전소황미자경상북도 구미시 인동가산로 442-1054-472-0019자동차충전
2021금오공대입구충전소박용인경상북도 구미시 산호대로 600054-475-6200자동차충전
2122(주)신라충전소 원평지점김동조경상북도 구미시 야은로 710054-465-0017자동차충전
2223구미보충전소김정훈경상북도 구미시 해평면 낙동대로 2469054-456-5989자동차충전
2324(주)신라충전소한다정경상북도 구미시 장천면 낙동대로 830,832054-456-7777용기+자동차+탱크+13kg용기
2425양포LPG충전소박용인경상북도 구미시 옥계2공단로 554054-475-0652자동차충전
2526낙동강의성(영천방향)충전소배지효경상북도 구미시 도개면 용산3길 122-65054-475-7630자동차충전