Overview

Dataset statistics

Number of variables5
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description인천광역시 서구 관내에서 운영중인 주유소 현황(업소명, 소재지, 전화번호)에 관하여 입력된 내용을 등록 합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15039969/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:01:12.942724
Analysis finished2023-12-12 09:01:13.651332
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T18:01:13.747882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-12T18:01:13.947525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

업소명
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T18:01:14.307518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.6428571
Min length5

Characters and Unicode

Total characters675
Distinct characters131
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

Unique68 ?
Unique (%)97.1%

Sample

1st row대성산업㈜ 인천주유소
2nd row유림주유소
3rd row주식회사 금강알앤에이
4th row우진주유소(임대)
5th row㈜문화주유소(임대)
ValueCountFrequency (%)
주식회사 4
 
4.0%
에이치디현대오일뱅크㈜직영 3
 
3.0%
㈜자연에너지 2
 
2.0%
㈜보문 2
 
2.0%
금광주유소 2
 
2.0%
인천현대셀프 1
 
1.0%
가좌 1
 
1.0%
삼보주유소 1
 
1.0%
㈜창조 1
 
1.0%
파란들주유소 1
 
1.0%
Other values (81) 81
81.8%
2023-12-12T18:01:14.839067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 70
 
10.4%
유 69
 
10.2%
소 63
 
9.3%
㈜ 30
 
4.4%
29
 
4.3%
에 18
 
2.7%
일 15
 
2.2%
지 15
 
2.2%
너 14
 
2.1%
대 12
 
1.8%
Other values (121) 340
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
85.9%
Other Symbol 30
 
4.4%
Space Separator 29
 
4.3%
Uppercase Letter 18
 
2.7%
Open Punctuation 7
 
1.0%
Close Punctuation 7
 
1.0%
Decimal Number 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
12.1%
유 69
 
11.9%
소 63
 
10.9%
에 18
 
3.1%
일 15
 
2.6%
지 15
 
2.6%
너 14
 
2.4%
대 12
 
2.1%
천 10
 
1.7%
인 10
 
1.7%
Other values (109) 284
49.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
33.3%
S 4
22.2%
C 3
16.7%
I 3
16.7%
H 2
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 1
25.0%
2 1
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 30
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
90.4%
Common 47
 
7.0%
Latin 18
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
11.5%
유 69
 
11.3%
소 63
 
10.3%
㈜ 30
 
4.9%
에 18
 
3.0%
일 15
 
2.5%
지 15
 
2.5%
너 14
 
2.3%
대 12
 
2.0%
천 10
 
1.6%
Other values (110) 294
48.2%
Common
ValueCountFrequency (%)
29
61.7%
( 7
 
14.9%
) 7
 
14.9%
1 2
 
4.3%
3 1
 
2.1%
2 1
 
2.1%
Latin
ValueCountFrequency (%)
K 6
33.3%
S 4
22.2%
C 3
16.7%
I 3
16.7%
H 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
85.9%
ASCII 65
 
9.6%
None 30
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 70
 
12.1%
유 69
 
11.9%
소 63
 
10.9%
에 18
 
3.1%
일 15
 
2.6%
지 15
 
2.6%
너 14
 
2.4%
대 12
 
2.1%
천 10
 
1.7%
인 10
 
1.7%
Other values (109) 284
49.0%
None
ValueCountFrequency (%)
㈜ 30
100.0%
ASCII
ValueCountFrequency (%)
29
44.6%
( 7
 
10.8%
) 7
 
10.8%
K 6
 
9.2%
S 4
 
6.2%
C 3
 
4.6%
I 3
 
4.6%
1 2
 
3.1%
H 2
 
3.1%
3 1
 
1.5%

소재지
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T18:01:15.170166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length29.3
Min length19

Characters and Unicode

Total characters2051
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

Unique70 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 가남로 181(가좌동 111-4)
2nd row인천광역시 서구 봉수대로162번길 3(가좌동 178-113)
3rd row인천광역시 서구 장고개로 233(가좌동 283-7)
4th row인천광역시 서구 가정로 63(가좌동 162-8)
5th row인천광역시 서구 건지로 105(석남동 223-348)
ValueCountFrequency (%)
서구 70
19.8%
인천광역시 69
19.5%
봉수대로 13
 
3.7%
서곶로 9
 
2.5%
경명대로 7
 
2.0%
중봉대로 6
 
1.7%
백범로 5
 
1.4%
염곡로 3
 
0.8%
건지로 3
 
0.8%
단봉로 2
 
0.6%
Other values (163) 167
47.2%
2023-12-12T18:01:15.584624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
14.0%
1 106
 
5.2%
- 86
 
4.2%
서 86
 
4.2%
2 79
 
3.9%
동 70
 
3.4%
3 70
 
3.4%
로 70
 
3.4%
인 70
 
3.4%
구 70
 
3.4%
Other values (68) 1057
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
46.4%
Decimal Number 565
27.5%
Space Separator 287
 
14.0%
Dash Punctuation 86
 
4.2%
Open Punctuation 69
 
3.4%
Close Punctuation 69
 
3.4%
Other Punctuation 23
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 86
 
9.0%
동 70
 
7.4%
로 70
 
7.4%
인 70
 
7.4%
구 70
 
7.4%
천 70
 
7.4%
시 69
 
7.2%
역 69
 
7.2%
광 69
 
7.2%
대 31
 
3.3%
Other values (53) 278
29.2%
Decimal Number
ValueCountFrequency (%)
1 106
18.8%
2 79
14.0%
3 70
12.4%
4 53
9.4%
7 52
9.2%
5 51
9.0%
8 47
8.3%
6 43
7.6%
9 37
 
6.5%
0 27
 
4.8%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1099
53.6%
Hangul 952
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 86
 
9.0%
동 70
 
7.4%
로 70
 
7.4%
인 70
 
7.4%
구 70
 
7.4%
천 70
 
7.4%
시 69
 
7.2%
역 69
 
7.2%
광 69
 
7.2%
대 31
 
3.3%
Other values (53) 278
29.2%
Common
ValueCountFrequency (%)
287
26.1%
1 106
 
9.6%
- 86
 
7.8%
2 79
 
7.2%
3 70
 
6.4%
( 69
 
6.3%
) 69
 
6.3%
4 53
 
4.8%
7 52
 
4.7%
5 51
 
4.6%
Other values (5) 177
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1099
53.6%
Hangul 952
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
26.1%
1 106
 
9.6%
- 86
 
7.8%
2 79
 
7.2%
3 70
 
6.4%
( 69
 
6.3%
) 69
 
6.3%
4 53
 
4.8%
7 52
 
4.7%
5 51
 
4.6%
Other values (5) 177
16.1%
Hangul
ValueCountFrequency (%)
서 86
 
9.0%
동 70
 
7.4%
로 70
 
7.4%
인 70
 
7.4%
구 70
 
7.4%
천 70
 
7.4%
시 69
 
7.2%
역 69
 
7.2%
광 69
 
7.2%
대 31
 
3.3%
Other values (53) 278
29.2%

전화번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T18:01:15.820174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.557143
Min length12

Characters and Unicode

Total characters879
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

Unique70 ?
Unique (%)100.0%

Sample

1st row032-575-7065
2nd row032-576-3326
3rd row032-583-5660
4th row032-581-1221
5th row032-571-7210
ValueCountFrequency (%)
032-575-7065 1
 
1.4%
032-582-1513 1
 
1.4%
032-568-6819,032-567-5185 1
 
1.4%
032-572-5182 1
 
1.4%
032-567-6958 1
 
1.4%
032-565-5185 1
 
1.4%
032-563-5100 1
 
1.4%
032-569-6469 1
 
1.4%
032-568-8995 1
 
1.4%
032-583-5188 1
 
1.4%
Other values (60) 60
85.7%
2023-12-12T18:01:16.197606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 146
16.6%
5 117
13.3%
2 115
13.1%
0 110
12.5%
3 105
11.9%
6 69
7.8%
1 67
7.6%
8 52
 
5.9%
7 45
 
5.1%
4 28
 
3.2%
Other values (2) 25
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 730
83.0%
Dash Punctuation 146
 
16.6%
Other Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 117
16.0%
2 115
15.8%
0 110
15.1%
3 105
14.4%
6 69
9.5%
1 67
9.2%
8 52
7.1%
7 45
 
6.2%
4 28
 
3.8%
9 22
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 879
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 146
16.6%
5 117
13.3%
2 115
13.1%
0 110
12.5%
3 105
11.9%
6 69
7.8%
1 67
7.6%
8 52
 
5.9%
7 45
 
5.1%
4 28
 
3.2%
Other values (2) 25
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 146
16.6%
5 117
13.3%
2 115
13.1%
0 110
12.5%
3 105
11.9%
6 69
7.8%
1 67
7.6%
8 52
 
5.9%
7 45
 
5.1%
4 28
 
3.2%
Other values (2) 25
 
2.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2023-10-25 00:00:00
Maximum2023-10-25 00:00:00
2023-12-12T18:01:16.343858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:01:16.450280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:01:13.267920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:01:16.538342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호
연번1.0000.9381.0001.000
업소명0.9381.0001.0001.000
소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T18:01:13.453148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:01:13.592744image/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

연번업소명소재지전화번호데이터기준일자
01대성산업㈜ 인천주유소인천광역시 서구 가남로 181(가좌동 111-4)032-575-70652023-10-25
12유림주유소인천광역시 서구 봉수대로162번길 3(가좌동 178-113)032-576-33262023-10-25
23주식회사 금강알앤에이인천광역시 서구 장고개로 233(가좌동 283-7)032-583-56602023-10-25
34우진주유소(임대)인천광역시 서구 가정로 63(가좌동 162-8)032-581-12212023-10-25
45㈜문화주유소(임대)인천광역시 서구 건지로 105(석남동 223-348)032-571-72102023-10-25
56스마트주유소(자가)인천광역시 서구 원적로 136(가좌동 82-9)032-581-23302023-10-25
67㈜서울에너지 서인천주유소인천광역시 서구 서곶로 346(연희동 711-4,-5)032-562-47002023-10-25
78신현주유소인천광역시 서구 봉수대로501번길 2(신현동 221,222)032-576-36362023-10-25
89신인천주유소인천광역시 서구 경명대로 669(공촌동 300-9)032-566-70062023-10-25
910㈜석산에너지 태양주유소인천광역시 서구 중봉대로 378(원창동 382-64)032-574-14472023-10-25
연번업소명소재지전화번호데이터기준일자
6061단봉주유소인천광역시 서구 단봉로 68(왕길동 418-1,-25)032-564-51012023-10-25
6162청라에너지인천광역시 서구 봉수대로 690 (연희동 621-16, 578-2)032-562-77292023-10-25
6263㈜보문 북항아이시주유소인천광역시 서구 원석로 133 (원창동 380-6)032-522-51882023-10-25
6364에이치디현대오일뱅크㈜직영 가정셀프주유소인천광역시 서구 봉수대로 541 (원창동 산9-1)032-571-8201,032-562-47002023-10-25
6465㈜자연에너지 금곡주유소인천광역시 서구 봉수대로 1491 (금곡동 161-1)032-566-51892023-10-25
6566㈜강남오일뱅크 인천현대셀프인천광역시 서구 백범로 818(가좌동 585-71)032-577-51452023-10-25
6667SK에너지㈜아라웨이주유소인천광역시 서구 오류동 1545-5032-566-46332023-10-25
6768서일석유㈜북항서일주유소인천 서구 북항로 185(원창동 393-102)032-572-52622023-10-25
6869검단신도시주유소인천광역시 서구 드림로 486(당하동)032-562-23452023-10-25
6970금광주유소인천광역시 서구 중봉대로 1593(금곡동)032-716-99792023-10-25