Overview

Dataset statistics

Number of variables5
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory44.4 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 주유소 현황 데이터는 주유소 상호명, 주유소 소재지(도로명), 전화번호에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102672/fileData.do

Alerts

업종 has constant value ""Constant
순번 has unique valuesUnique
상호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:27:58.702599
Analysis finished2023-12-12 13:27:59.321888
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T22:27:59.384874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-12T22:27:59.531620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
주유소
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 39
100.0%

Length

2023-12-12T22:27:59.665459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:59.764192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 39
100.0%

상호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:28:00.319171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length11.179487
Min length5

Characters and Unicode

Total characters436
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row에이치디 현대오일뱅크(주)직영 부평공단셀프주유소
2nd row서울석유㈜ 부일주유소
3rd row동양산업(주) 효성주유소
4th row부개주유소
5th row산곡하이웨이주유소
ValueCountFrequency (%)
에이치디 3
 
4.8%
현대오일뱅크(주)직영 3
 
4.8%
sk에너지㈜ 3
 
4.8%
송내ic주유소 2
 
3.2%
부평점 2
 
3.2%
지에스칼텍스㈜ 2
 
3.2%
여울물셀프주유소 1
 
1.6%
일광에너비스 1
 
1.6%
장수셀프주유소 1
 
1.6%
우리주유소 1
 
1.6%
Other values (43) 43
69.4%
2023-12-12T22:28:00.774077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
9.9%
유 39
 
8.9%
소 36
 
8.3%
24
 
5.5%
에 17
 
3.9%
㈜ 13
 
3.0%
지 11
 
2.5%
너 10
 
2.3%
이 10
 
2.3%
프 9
 
2.1%
Other values (97) 224
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
82.6%
Space Separator 24
 
5.5%
Other Symbol 13
 
3.0%
Uppercase Letter 13
 
3.0%
Lowercase Letter 11
 
2.5%
Open Punctuation 7
 
1.6%
Close Punctuation 7
 
1.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
11.9%
유 39
 
10.8%
소 36
 
10.0%
에 17
 
4.7%
지 11
 
3.1%
너 10
 
2.8%
이 10
 
2.8%
프 9
 
2.5%
셀 8
 
2.2%
일 8
 
2.2%
Other values (84) 169
46.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
K 4
30.8%
C 2
 
15.4%
I 2
 
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
l 3
27.3%
f 3
27.3%
s 2
18.2%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
85.6%
Common 39
 
8.9%
Latin 24
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
11.5%
유 39
 
10.5%
소 36
 
9.7%
에 17
 
4.6%
㈜ 13
 
3.5%
지 11
 
2.9%
너 10
 
2.7%
이 10
 
2.7%
프 9
 
2.4%
셀 8
 
2.1%
Other values (85) 177
47.5%
Latin
ValueCountFrequency (%)
S 5
20.8%
K 4
16.7%
e 3
12.5%
l 3
12.5%
f 3
12.5%
s 2
 
8.3%
C 2
 
8.3%
I 2
 
8.3%
Common
ValueCountFrequency (%)
24
61.5%
( 7
 
17.9%
) 7
 
17.9%
7 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
82.6%
ASCII 63
 
14.4%
None 13
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
11.9%
유 39
 
10.8%
소 36
 
10.0%
에 17
 
4.7%
지 11
 
3.1%
너 10
 
2.8%
이 10
 
2.8%
프 9
 
2.5%
셀 8
 
2.2%
일 8
 
2.2%
Other values (84) 169
46.9%
ASCII
ValueCountFrequency (%)
24
38.1%
( 7
 
11.1%
) 7
 
11.1%
S 5
 
7.9%
K 4
 
6.3%
e 3
 
4.8%
l 3
 
4.8%
f 3
 
4.8%
s 2
 
3.2%
C 2
 
3.2%
Other values (2) 3
 
4.8%
None
ValueCountFrequency (%)
㈜ 13
100.0%

주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:28:01.044732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length22.666667
Min length22

Characters and Unicode

Total characters884
Distinct characters56
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

Unique39 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 부평대로 262(갈산동)
2nd row인천광역시 부평구 부평대로 96(부평동)
3rd row인천광역시 부평구 부평북로 154(청천동)
4th row인천광역시 부평구 경인로 1050(부개동)
5th row인천광역시 부평구 원적로 417(산곡동)
ValueCountFrequency (%)
인천광역시 39
24.7%
부평구 39
24.7%
경인로 8
 
5.1%
장제로 6
 
3.8%
경원대로 4
 
2.5%
평천로 3
 
1.9%
마장로 3
 
1.9%
부평대로 3
 
1.9%
서달로 2
 
1.3%
원적로 2
 
1.3%
Other values (48) 49
31.0%
2023-12-12T22:28:01.477777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
13.6%
평 49
 
5.5%
부 49
 
5.5%
인 47
 
5.3%
천 46
 
5.2%
구 43
 
4.9%
시 39
 
4.4%
( 39
 
4.4%
역 39
 
4.4%
동 39
 
4.4%
Other values (46) 374
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
63.1%
Decimal Number 127
 
14.4%
Space Separator 120
 
13.6%
Open Punctuation 39
 
4.4%
Close Punctuation 39
 
4.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 49
 
8.8%
부 49
 
8.8%
인 47
 
8.4%
천 46
 
8.2%
구 43
 
7.7%
시 39
 
7.0%
역 39
 
7.0%
동 39
 
7.0%
광 39
 
7.0%
로 39
 
7.0%
Other values (32) 129
23.1%
Decimal Number
ValueCountFrequency (%)
1 31
24.4%
3 15
11.8%
2 15
11.8%
0 14
11.0%
9 13
10.2%
4 12
 
9.4%
5 11
 
8.7%
7 8
 
6.3%
6 5
 
3.9%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
63.1%
Common 326
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 49
 
8.8%
부 49
 
8.8%
인 47
 
8.4%
천 46
 
8.2%
구 43
 
7.7%
시 39
 
7.0%
역 39
 
7.0%
동 39
 
7.0%
광 39
 
7.0%
로 39
 
7.0%
Other values (32) 129
23.1%
Common
ValueCountFrequency (%)
120
36.8%
( 39
 
12.0%
) 39
 
12.0%
1 31
 
9.5%
3 15
 
4.6%
2 15
 
4.6%
0 14
 
4.3%
9 13
 
4.0%
4 12
 
3.7%
5 11
 
3.4%
Other values (4) 17
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
63.1%
ASCII 326
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
36.8%
( 39
 
12.0%
) 39
 
12.0%
1 31
 
9.5%
3 15
 
4.6%
2 15
 
4.6%
0 14
 
4.3%
9 13
 
4.0%
4 12
 
3.7%
5 11
 
3.4%
Other values (4) 17
 
5.2%
Hangul
ValueCountFrequency (%)
평 49
 
8.8%
부 49
 
8.8%
인 47
 
8.4%
천 46
 
8.2%
구 43
 
7.7%
시 39
 
7.0%
역 39
 
7.0%
동 39
 
7.0%
광 39
 
7.0%
로 39
 
7.0%
Other values (32) 129
23.1%

전화번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T22:28:01.712032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025641
Min length12

Characters and Unicode

Total characters469
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row032-502-1006
2nd row032-502-1773
3rd row032-505-5188
4th row032-514-1863
5th row032-524-5151
ValueCountFrequency (%)
032-502-1006 1
 
2.6%
032-567-5000 1
 
2.6%
032-529-1125 1
 
2.6%
032-421-5547 1
 
2.6%
032-501-7319 1
 
2.6%
032-502-7771 1
 
2.6%
032-502-8562 1
 
2.6%
032-514-8072 1
 
2.6%
032-582-6888 1
 
2.6%
032-431-4081 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T22:28:02.106166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.6%
0 69
14.7%
5 66
14.1%
2 63
13.4%
3 59
12.6%
1 56
11.9%
7 21
 
4.5%
8 19
 
4.1%
6 13
 
2.8%
4 13
 
2.8%
Other values (2) 12
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.2%
Dash Punctuation 78
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
17.7%
5 66
16.9%
2 63
16.2%
3 59
15.1%
1 56
14.4%
7 21
 
5.4%
8 19
 
4.9%
6 13
 
3.3%
4 13
 
3.3%
9 11
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.6%
0 69
14.7%
5 66
14.1%
2 63
13.4%
3 59
12.6%
1 56
11.9%
7 21
 
4.5%
8 19
 
4.1%
6 13
 
2.8%
4 13
 
2.8%
Other values (2) 12
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.6%
0 69
14.7%
5 66
14.1%
2 63
13.4%
3 59
12.6%
1 56
11.9%
7 21
 
4.5%
8 19
 
4.1%
6 13
 
2.8%
4 13
 
2.8%
Other values (2) 12
 
2.6%

Interactions

2023-12-12T22:27:58.971153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:28:02.209153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호주소전화번호
순번1.0001.0001.0001.000
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T22:27:59.113734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:59.266949image/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

순번업종상호주소전화번호
01주유소에이치디 현대오일뱅크(주)직영 부평공단셀프주유소인천광역시 부평구 부평대로 262(갈산동)032-502-1006
12주유소서울석유㈜ 부일주유소인천광역시 부평구 부평대로 96(부평동)032-502-1773
23주유소동양산업(주) 효성주유소인천광역시 부평구 부평북로 154(청천동)032-505-5188
34주유소부개주유소인천광역시 부평구 경인로 1050(부개동)032-514-1863
45주유소산곡하이웨이주유소인천광역시 부평구 원적로 417(산곡동)032-524-5151
56주유소㈜백마에너지 백마장주유소인천광역시 부평구 길주로 390(산곡동)032-516-5151
67주유소지에스칼텍스㈜ 신부평주유소인천광역시 부평구 평천로 429(삼산동)032-526-8781
78주유소팔도셀프주유소인천광역시 부평구 마장로 199(산곡동)032-511-6137
89주유소유항주유소인천광역시 부평구 주부토로 273(갈산동)032-501-5151
910주유소동암주유소인천광역시 부평구 열우물로 19(십정동)032-424-9717
순번업종상호주소전화번호
2930주유소지에스칼텍스㈜ 부흥로주유소인천광역시 부평구 장제로 200(부평동)032-523-5133
3031주유소정해하이웨이주유소 부평점인천광역시 부평구 부평대로 222(갈산동)032-505-5104
3132주유소SK에너지㈜ 대양self주유소인천광역시 부평구 평천로 545(삼산동)032-517-5151
3233주유소SK에너지㈜ 삼산주유소인천광역시 부평구 장제로 347(삼산동)032-518-8333
3334주유소삼미상사㈜부평마장셀프주유소인천광역시 부평구 마장로 173(산곡동)032-502-5189
3435주유소SK에너지㈜ 삼성self주유소인천광역시 부평구 평천로 546(삼산동)032-330-5155
3536주유소십정주유소인천광역시 부평구 경원대로 1037 (십정동)032-575-7071
3637주유소송내IC주유소인천광역시 부평구 경인로 1182-1 (일신동)032-502-1171
3738주유소유카스에너지 열우물주유소인천광역시 부평구 경원대로 1132(십정동)032-512-0186
3839주유소주식회사 태리 아크로셀프주유소인천광역시 부평구 무네미로 431(구산동)032-503-1113