Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory44.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 남동구에 위치한 주유소현황에 대한 데이터로 연번, 상호명, 소재지주소, 전화번호, 데이터기준일자 항목을 개방합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067216&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호명 has unique valuesUnique
소재지주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:43:53.174444
Analysis finished2024-04-06 09:43:55.478982
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T18:43:55.579450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-06T18:43:55.749378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

상호명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:43:56.041764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length12.045455
Min length5

Characters and Unicode

Total characters530
Distinct characters112
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row에이치디현대오일뱅크㈜직영 수인주유소
2nd row㈜박문석유 구월주유소
3rd row에이치디현대오일뱅크㈜직영 만수동셀프주유소
4th row현대주유소
5th row㈜중앙에너비스 남동공단지점
ValueCountFrequency (%)
에이치디현대오일뱅크㈜직영 6
 
9.1%
지에스칼텍스㈜ 2
 
3.0%
kh에너지㈜직영 2
 
3.0%
서창i·c주유소 1
 
1.5%
논현신도시주유소 1
 
1.5%
공단2주유소 1
 
1.5%
수림주유소 1
 
1.5%
남동농협주유소 1
 
1.5%
하이웨이주유소 1
 
1.5%
동윤주유소 1
 
1.5%
Other values (49) 49
74.2%
2024-04-06T18:43:56.529109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
9.2%
46
 
8.7%
42
 
7.9%
24
 
4.5%
22
 
4.2%
17
 
3.2%
14
 
2.6%
12
 
2.3%
12
 
2.3%
11
 
2.1%
Other values (102) 281
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
87.2%
Other Symbol 24
 
4.5%
Space Separator 22
 
4.2%
Uppercase Letter 8
 
1.5%
Lowercase Letter 4
 
0.8%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Decimal Number 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
10.6%
46
 
10.0%
42
 
9.1%
17
 
3.7%
14
 
3.0%
12
 
2.6%
12
 
2.6%
11
 
2.4%
11
 
2.4%
10
 
2.2%
Other values (86) 238
51.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
37.5%
H 2
25.0%
S 1
 
12.5%
I 1
 
12.5%
C 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
l 1
25.0%
f 1
25.0%
s 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Other Symbol
ValueCountFrequency (%)
24
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
91.7%
Common 32
 
6.0%
Latin 12
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
10.1%
46
 
9.5%
42
 
8.6%
24
 
4.9%
17
 
3.5%
14
 
2.9%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
Other values (87) 248
51.0%
Latin
ValueCountFrequency (%)
K 3
25.0%
H 2
16.7%
e 1
 
8.3%
l 1
 
8.3%
f 1
 
8.3%
s 1
 
8.3%
S 1
 
8.3%
I 1
 
8.3%
C 1
 
8.3%
Common
ValueCountFrequency (%)
22
68.8%
) 3
 
9.4%
( 3
 
9.4%
2 2
 
6.2%
1 1
 
3.1%
· 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
87.2%
ASCII 43
 
8.1%
None 25
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
10.6%
46
 
10.0%
42
 
9.1%
17
 
3.7%
14
 
3.0%
12
 
2.6%
12
 
2.6%
11
 
2.4%
11
 
2.4%
10
 
2.2%
Other values (86) 238
51.5%
None
ValueCountFrequency (%)
24
96.0%
· 1
 
4.0%
ASCII
ValueCountFrequency (%)
22
51.2%
K 3
 
7.0%
) 3
 
7.0%
( 3
 
7.0%
2 2
 
4.7%
H 2
 
4.7%
e 1
 
2.3%
l 1
 
2.3%
f 1
 
2.3%
s 1
 
2.3%
Other values (4) 4
 
9.3%

소재지주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:43:56.811166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length23.659091
Min length21

Characters and Unicode

Total characters1041
Distinct characters60
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

Unique44 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 백범로 255 (구월동)
2nd row인천광역시 남동구 인주대로 512 (구월동)
3rd row인천광역시 남동구 구월로 371 (만수동)
4th row인천광역시 남동구 백범로 85 (만수동)
5th row인천광역시 남동구 남동대로 258 (논현동)
ValueCountFrequency (%)
인천광역시 44
20.1%
남동구 44
20.1%
고잔동 10
 
4.6%
구월동 10
 
4.6%
인주대로 8
 
3.7%
간석동 6
 
2.7%
만수동 6
 
2.7%
백범로 5
 
2.3%
호구포로 4
 
1.8%
남동대로 4
 
1.8%
Other values (64) 78
35.6%
2024-04-06T18:43:57.268733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
16.8%
92
 
8.8%
59
 
5.7%
53
 
5.1%
51
 
4.9%
) 44
 
4.2%
( 44
 
4.2%
44
 
4.2%
44
 
4.2%
44
 
4.2%
Other values (50) 391
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
62.4%
Space Separator 175
 
16.8%
Decimal Number 127
 
12.2%
Close Punctuation 44
 
4.2%
Open Punctuation 44
 
4.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
14.2%
59
 
9.1%
53
 
8.2%
51
 
7.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
17
 
2.6%
Other values (36) 158
24.3%
Decimal Number
ValueCountFrequency (%)
2 20
15.7%
1 19
15.0%
5 17
13.4%
7 14
11.0%
6 14
11.0%
4 13
10.2%
8 11
8.7%
3 7
 
5.5%
9 6
 
4.7%
0 6
 
4.7%
Space Separator
ValueCountFrequency (%)
175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
62.4%
Common 391
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
14.2%
59
 
9.1%
53
 
8.2%
51
 
7.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
17
 
2.6%
Other values (36) 158
24.3%
Common
ValueCountFrequency (%)
175
44.8%
) 44
 
11.3%
( 44
 
11.3%
2 20
 
5.1%
1 19
 
4.9%
5 17
 
4.3%
7 14
 
3.6%
6 14
 
3.6%
4 13
 
3.3%
8 11
 
2.8%
Other values (4) 20
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
62.4%
ASCII 391
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
44.8%
) 44
 
11.3%
( 44
 
11.3%
2 20
 
5.1%
1 19
 
4.9%
5 17
 
4.3%
7 14
 
3.6%
6 14
 
3.6%
4 13
 
3.3%
8 11
 
2.8%
Other values (4) 20
 
5.1%
Hangul
ValueCountFrequency (%)
92
14.2%
59
 
9.1%
53
 
8.2%
51
 
7.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
44
 
6.8%
17
 
2.6%
Other values (36) 158
24.3%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T18:43:57.614778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row032-466-7001
2nd row032-422-5455
3rd row032-464-6993
4th row032-461-2277
5th row032-816-5151
ValueCountFrequency (%)
032-466-7001 1
 
2.3%
032-422-5455 1
 
2.3%
032-442-5189 1
 
2.3%
032-471-2000 1
 
2.3%
032-817-8781 1
 
2.3%
032-422-5159 1
 
2.3%
032-469-0001 1
 
2.3%
032-468-5121 1
 
2.3%
032-467-5188 1
 
2.3%
032-437-5151 1
 
2.3%
Other values (34) 34
77.3%
2024-04-06T18:43:58.063125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
2 73
13.8%
3 60
11.4%
4 58
11.0%
5 48
9.1%
1 42
8.0%
8 27
 
5.1%
6 24
 
4.5%
7 19
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
17.0%
2 73
16.6%
3 60
13.6%
4 58
13.2%
5 48
10.9%
1 42
9.5%
8 27
 
6.1%
6 24
 
5.5%
7 19
 
4.3%
9 14
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
2 73
13.8%
3 60
11.4%
4 58
11.0%
5 48
9.1%
1 42
8.0%
8 27
 
5.1%
6 24
 
4.5%
7 19
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
2 73
13.8%
3 60
11.4%
4 58
11.0%
5 48
9.1%
1 42
8.0%
8 27
 
5.1%
6 24
 
4.5%
7 19
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-02-22
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-22
2nd row2024-02-22
3rd row2024-02-22
4th row2024-02-22
5th row2024-02-22

Common Values

ValueCountFrequency (%)
2024-02-22 44
100.0%

Length

2024-04-06T18:43:58.195627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:43:58.294997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-22 44
100.0%

Interactions

2024-04-06T18:43:55.065931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:43:58.362830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지주소전화번호
연번1.0001.0001.0001.000
상호명1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-04-06T18:43:55.250176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:43:55.416443image/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

연번상호명소재지주소전화번호데이터기준일자
01에이치디현대오일뱅크㈜직영 수인주유소인천광역시 남동구 백범로 255 (구월동)032-466-70012024-02-22
12㈜박문석유 구월주유소인천광역시 남동구 인주대로 512 (구월동)032-422-54552024-02-22
23에이치디현대오일뱅크㈜직영 만수동셀프주유소인천광역시 남동구 구월로 371 (만수동)032-464-69932024-02-22
34현대주유소인천광역시 남동구 백범로 85 (만수동)032-461-22772024-02-22
45㈜중앙에너비스 남동공단지점인천광역시 남동구 남동대로 258 (논현동)032-816-51512024-02-22
56에이치디현대오일뱅크㈜직영 공단1주유소인천광역시 남동구 남동대로 367 (남촌동)032-812-41622024-02-22
67현대오일뱅크 고잔주유소인천광역시 남동구 논현고잔로 156 (고잔동)032-446-40002024-02-22
78한사랑주유소인천광역시 남동구 인주대로 774 (구월동)032-462-54292024-02-22
89㈜유카스에너지인천광역시 남동구 장수로 2-2 (장수동)032-465-07752024-02-22
910인주대로주유소(구 삼보주유소)인천광역시 남동구 인주대로 858 (만수동)032-465-10112024-02-22
연번상호명소재지주소전화번호데이터기준일자
3435디와이에너지㈜도림주유소인천광역시 남동구 청능대로 469 (고잔동)032-424-51452024-02-22
3536에스제이에너지주유소인천광역시 남동구 청능대로 542 (고잔동)032-432-02412024-02-22
3637동일석유(주)남동클린주유소인천광역시 남동구 논고개로 252 (도림동)032-441-51442024-02-22
3738구월아시아드주유소인천광역시 남동구 아암대로 1171 (고잔동)032-814-51852024-02-22
3839㈜장원오일 남동지점 좋은주유소인천광역시 남동구 호구포로 78 (고잔동)032-813-98002024-02-22
3940선수촌주유소인천광역시 남동구 호구포로 725 (구월동)032-465-83002024-02-22
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