Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory993.0 B
Average record size in memory47.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부천시 관내의 가스사업자 업종별 현황으로 업종구분(액화석유가스, 고압가스, 도시가스충천), 업소명, 소재지, 전화번호 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3079364/fileData.do

Alerts

번호 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
시설명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:55:35.432742
Analysis finished2023-12-12 12:55:36.016142
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:55:36.085098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T21:55:36.248380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
LPG충전소
11 
LPG판매소
도시가스충전사업소

Length

Max length9
Median length6
Mean length6.4285714
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
LPG충전소 11
52.4%
LPG판매소 7
33.3%
도시가스충전사업소 3
 
14.3%

Length

2023-12-12T21:55:36.416008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:36.871876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lpg충전소 11
52.4%
lpg판매소 7
33.3%
도시가스충전사업소 3
 
14.3%

시설명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:55:37.118977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.2380952
Min length4

Characters and Unicode

Total characters152
Distinct characters73
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

Unique21 ?
Unique (%)100.0%

Sample

1st row오씨에너지 김포충전소 주식회사
2nd row동일석유㈜부천충전소
3rd row부천LPG충전소
4th row서해가스충전소
5th row비케이프라임실업㈜
ValueCountFrequency (%)
오씨에너지 1
 
4.2%
김포충전소 1
 
4.2%
신길천연가스㈜ 1
 
4.2%
㈜삼천리eng오정 1
 
4.2%
㈜성림에너지 1
 
4.2%
믿음가스 1
 
4.2%
그린가스 1
 
4.2%
sk가스 1
 
4.2%
고강가스 1
 
4.2%
대성가스 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T21:55:37.498449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.6%
10
 
6.6%
10
 
6.6%
10
 
6.6%
10
 
6.6%
6
 
3.9%
5
 
3.3%
4
 
2.6%
3
 
2.0%
3
 
2.0%
Other values (63) 81
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
84.2%
Uppercase Letter 11
 
7.2%
Other Symbol 6
 
3.9%
Space Separator 3
 
2.0%
Lowercase Letter 2
 
1.3%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
7.8%
10
 
7.8%
10
 
7.8%
10
 
7.8%
10
 
7.8%
5
 
3.9%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (50) 60
46.9%
Uppercase Letter
ValueCountFrequency (%)
G 3
27.3%
N 2
18.2%
C 2
18.2%
I 1
 
9.1%
E 1
 
9.1%
L 1
 
9.1%
P 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
88.2%
Latin 13
 
8.6%
Common 5
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
7.5%
10
 
7.5%
10
 
7.5%
10
 
7.5%
10
 
7.5%
6
 
4.5%
5
 
3.7%
4
 
3.0%
3
 
2.2%
3
 
2.2%
Other values (51) 63
47.0%
Latin
ValueCountFrequency (%)
G 3
23.1%
N 2
15.4%
C 2
15.4%
k 1
 
7.7%
I 1
 
7.7%
s 1
 
7.7%
E 1
 
7.7%
L 1
 
7.7%
P 1
 
7.7%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
84.2%
ASCII 18
 
11.8%
None 6
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
7.8%
10
 
7.8%
10
 
7.8%
10
 
7.8%
10
 
7.8%
5
 
3.9%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (50) 60
46.9%
None
ValueCountFrequency (%)
6
100.0%
ASCII
ValueCountFrequency (%)
3
16.7%
G 3
16.7%
N 2
11.1%
C 2
11.1%
k 1
 
5.6%
I 1
 
5.6%
s 1
 
5.6%
E 1
 
5.6%
L 1
 
5.6%
P 1
 
5.6%
Other values (2) 2
11.1%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:55:37.716582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length19.190476
Min length14

Characters and Unicode

Total characters403
Distinct characters55
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

Unique18 ?
Unique (%)85.7%

Sample

1st row경기도 부천시 대장로 17(고강동)
2nd row경기도 부천시 석천로 445(삼정동)
3rd row경기도 부천시 길주로 429(춘의동)
4th row경기도 부천시 송내대로 377(상동)
5th row경기도 부천시 봉오대로 472(고강동)
ValueCountFrequency (%)
경기도 21
25.0%
부천시 21
25.0%
오정로 4
 
4.8%
31(삼정동 3
 
3.6%
벌말로 3
 
3.6%
길주로 2
 
2.4%
47(고강본동 1
 
1.2%
23-1(중동 1
 
1.2%
조마루로 1
 
1.2%
415(원미동 1
 
1.2%
Other values (26) 26
31.0%
2023-12-12T21:55:38.058949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
15.6%
22
 
5.5%
22
 
5.5%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
( 16
 
4.0%
16
 
4.0%
Other values (45) 159
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
61.0%
Space Separator 63
 
15.6%
Decimal Number 61
 
15.1%
Open Punctuation 16
 
4.0%
Close Punctuation 16
 
4.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
8.9%
22
 
8.9%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
16
 
6.5%
9
 
3.7%
7
 
2.8%
Other values (31) 65
26.4%
Decimal Number
ValueCountFrequency (%)
1 12
19.7%
4 11
18.0%
3 8
13.1%
5 8
13.1%
7 7
11.5%
2 6
9.8%
6 4
 
6.6%
8 3
 
4.9%
0 1
 
1.6%
9 1
 
1.6%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
61.0%
Common 157
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
8.9%
22
 
8.9%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
16
 
6.5%
9
 
3.7%
7
 
2.8%
Other values (31) 65
26.4%
Common
ValueCountFrequency (%)
63
40.1%
( 16
 
10.2%
) 16
 
10.2%
1 12
 
7.6%
4 11
 
7.0%
3 8
 
5.1%
5 8
 
5.1%
7 7
 
4.5%
2 6
 
3.8%
6 4
 
2.5%
Other values (4) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
61.0%
ASCII 157
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
40.1%
( 16
 
10.2%
) 16
 
10.2%
1 12
 
7.6%
4 11
 
7.0%
3 8
 
5.1%
5 8
 
5.1%
7 7
 
4.5%
2 6
 
3.8%
6 4
 
2.5%
Other values (4) 6
 
3.8%
Hangul
ValueCountFrequency (%)
22
 
8.9%
22
 
8.9%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
21
 
8.5%
16
 
6.5%
9
 
3.7%
7
 
2.8%
Other values (31) 65
26.4%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:55:38.248595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row032-684-9915
2nd row032-673-6719
3rd row032-678-9436
4th row032-326-9956
5th row032-671-5188
ValueCountFrequency (%)
032-684-9915 1
 
4.8%
032-663-4433 1
 
4.8%
032-324-2151 1
 
4.8%
032-677-3007 1
 
4.8%
032-323-1881 1
 
4.8%
032-675-0088 1
 
4.8%
032-671-9565 1
 
4.8%
032-656-6060 1
 
4.8%
032-663-2111 1
 
4.8%
032-663-4500 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T21:55:38.558498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
0 35
13.9%
3 35
13.9%
2 33
13.1%
6 32
12.7%
1 18
7.1%
7 15
 
6.0%
8 13
 
5.2%
5 11
 
4.4%
9 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
16.7%
3 35
16.7%
2 33
15.7%
6 32
15.2%
1 18
8.6%
7 15
7.1%
8 13
 
6.2%
5 11
 
5.2%
9 10
 
4.8%
4 8
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
0 35
13.9%
3 35
13.9%
2 33
13.1%
6 32
12.7%
1 18
7.1%
7 15
 
6.0%
8 13
 
5.2%
5 11
 
4.4%
9 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
0 35
13.9%
3 35
13.9%
2 33
13.1%
6 32
12.7%
1 18
7.1%
7 15
 
6.0%
8 13
 
5.2%
5 11
 
4.4%
9 10
 
4.0%

Interactions

2023-12-12T21:55:35.688483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:55:38.653019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유형시설명소재지전화번호
번호1.0000.9531.0000.9281.000
유형0.9531.0001.0001.0001.000
시설명1.0001.0001.0001.0001.000
소재지0.9281.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-12T21:55:38.736303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유형
번호1.0000.692
유형0.6921.000

Missing values

2023-12-12T21:55:35.859501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:55:35.974602image/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

번호유형시설명소재지전화번호
01LPG충전소오씨에너지 김포충전소 주식회사경기도 부천시 대장로 17(고강동)032-684-9915
12LPG충전소동일석유㈜부천충전소경기도 부천시 석천로 445(삼정동)032-673-6719
23LPG충전소부천LPG충전소경기도 부천시 길주로 429(춘의동)032-678-9436
34LPG충전소서해가스충전소경기도 부천시 송내대로 377(상동)032-326-9956
45LPG충전소비케이프라임실업㈜경기도 부천시 봉오대로 472(고강동)032-671-5188
56LPG충전소(주)한유에너지 공항가스경기도 부천시 역곡로 558(고강동)032-679-5189
67LPG충전소㈜원미가스충전소경기도 부천시 길주로 610(춘의동)032-671-7667
78LPG충전소중동충전소경기도 부천시 벌말로 62(대장동)032-671-1251
89LPG충전소로안충전소경기도 부천시 벌말로 157(대장동)032-681-2222
910LPG충전소부천IC충전소경기도 부천시 신흥로441번길 8032-682-0880
번호유형시설명소재지전화번호
1112LPG판매소모범가스경기도 부천시 심중로 23-1(중동)032-663-4433
1213LPG판매소대성가스경기도 부천시 조마루로 415(원미동)032-663-4500
1314LPG판매소고강가스경기도 부천시 역곡로472번길 47(고강본동)032-663-2111
1415LPG판매소sk가스경기도 부천시 오정로 31(오정동)032-656-6060
1516LPG판매소그린가스경기도 부천시 오정로 31(삼정동)032-671-9565
1617LPG판매소믿음가스경기도 부천시 오정로 31(삼정동)032-675-0088
1718LPG판매소㈜성림에너지경기도 부천시 오정로 31(삼정동)032-323-1881
1819도시가스충전사업소㈜삼천리ENG오정경기도 부천시 벌말로 43032-677-3007
1920도시가스충전사업소신길천연가스㈜경기도 부천시 부일로 158032-324-2151
2021도시가스충전사업소고강공영차고지CNG충전소경기도 부천시 봉오대로556번길 26032-340-0760