Overview

Dataset statistics

Number of variables10
Number of observations69
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory84.9 B

Variable types

Numeric3
Categorical3
Text3
Boolean1

Dataset

Description세종특별자치시 관내에 소재한 주유소 위치 정보를 제공합니다.데이터는 지역,상호,주소,상표,전화번호,셀프여부,위도,경도로 구성되어 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/3075565/fileData.do

Alerts

지역 has constant value ""Constant
등록기준일 has constant value ""Constant
전화번호 has 1 (1.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:38:05.204422
Analysis finished2023-12-12 03:38:07.311002
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T12:38:07.415170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2023-12-12T12:38:07.596737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
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 (%)
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%
60 1
1.4%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
세종특별자치시
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 69
100.0%

Length

2023-12-12T12:38:07.802451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:38:07.924927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 69
100.0%

상호
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T12:38:08.220535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length8
Min length5

Characters and Unicode

Total characters552
Distinct characters136
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

Unique67 ?
Unique (%)97.1%

Sample

1st row세종동부농협주유소
2nd row㈜선인상사 우리나라주유소
3rd row굿모닝주유소
4th row신안주유소
5th row진영주유소
ValueCountFrequency (%)
서세종농협주유소 2
 
2.6%
에이치디현대오일뱅크㈜ 2
 
2.6%
직영 2
 
2.6%
보람셀프주유소 1
 
1.3%
석곡주유소 1
 
1.3%
실광주유소 1
 
1.3%
전동주유소 1
 
1.3%
장기주유소 1
 
1.3%
삼정주유소 1
 
1.3%
내판주유소 1
 
1.3%
Other values (65) 65
83.3%
2023-12-12T12:38:08.796720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
13.2%
유 71
 
12.9%
소 70
 
12.7%
종 16
 
2.9%
세 16
 
2.9%
대 11
 
2.0%
9
 
1.6%
프 9
 
1.6%
셀 9
 
1.6%
지 8
 
1.4%
Other values (126) 260
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
92.2%
Uppercase Letter 10
 
1.8%
Space Separator 9
 
1.6%
Lowercase Letter 8
 
1.4%
Other Symbol 6
 
1.1%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
14.3%
유 71
 
13.9%
소 70
 
13.8%
종 16
 
3.1%
세 16
 
3.1%
대 11
 
2.2%
프 9
 
1.8%
셀 9
 
1.8%
지 8
 
1.6%
영 7
 
1.4%
Other values (114) 219
43.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
40.0%
S 4
40.0%
C 1
 
10.0%
J 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
e 2
25.0%
l 2
25.0%
f 2
25.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
93.3%
Common 19
 
3.4%
Latin 18
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
14.2%
유 71
 
13.8%
소 70
 
13.6%
종 16
 
3.1%
세 16
 
3.1%
대 11
 
2.1%
프 9
 
1.7%
셀 9
 
1.7%
지 8
 
1.6%
영 7
 
1.4%
Other values (115) 225
43.7%
Latin
ValueCountFrequency (%)
K 4
22.2%
S 4
22.2%
s 2
11.1%
e 2
11.1%
l 2
11.1%
f 2
11.1%
C 1
 
5.6%
J 1
 
5.6%
Common
ValueCountFrequency (%)
9
47.4%
) 5
26.3%
( 5
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
92.2%
ASCII 37
 
6.7%
None 6
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
14.3%
유 71
 
13.9%
소 70
 
13.8%
종 16
 
3.1%
세 16
 
3.1%
대 11
 
2.2%
프 9
 
1.8%
셀 9
 
1.8%
지 8
 
1.6%
영 7
 
1.4%
Other values (114) 219
43.0%
ASCII
ValueCountFrequency (%)
9
24.3%
) 5
13.5%
( 5
13.5%
K 4
10.8%
S 4
10.8%
s 2
 
5.4%
e 2
 
5.4%
l 2
 
5.4%
f 2
 
5.4%
C 1
 
2.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

주소
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T12:38:09.239067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length20.376812
Min length15

Characters and Unicode

Total characters1406
Distinct characters108
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

Unique67 ?
Unique (%)97.1%

Sample

1st row세종특별자치시 부강면 부강외천로 10
2nd row세종특별자치시 전의면 운주산로 1032
3rd row세종특별자치시 조치원읍 세종로 2712
4th row세종특별자치시 조치원읍 세종로 2678
5th row세종특별자치시 소정면 세종로 4732
ValueCountFrequency (%)
세종특별자치시 69
25.2%
세종로 20
 
7.3%
조치원읍 14
 
5.1%
전의면 8
 
2.9%
소정면 6
 
2.2%
연기면 5
 
1.8%
부강면 5
 
1.8%
연서면 4
 
1.5%
청연로 4
 
1.5%
금남면 4
 
1.5%
Other values (111) 135
49.3%
2023-12-12T12:38:09.764645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
15.6%
종 91
 
6.5%
세 90
 
6.4%
치 83
 
5.9%
시 70
 
5.0%
특 69
 
4.9%
별 69
 
4.9%
자 69
 
4.9%
로 63
 
4.5%
면 41
 
2.9%
Other values (98) 542
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 944
67.1%
Space Separator 219
 
15.6%
Decimal Number 216
 
15.4%
Close Punctuation 12
 
0.9%
Open Punctuation 12
 
0.9%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 91
 
9.6%
세 90
 
9.5%
치 83
 
8.8%
시 70
 
7.4%
특 69
 
7.3%
별 69
 
7.3%
자 69
 
7.3%
로 63
 
6.7%
면 41
 
4.3%
동 20
 
2.1%
Other values (84) 279
29.6%
Decimal Number
ValueCountFrequency (%)
2 35
16.2%
1 34
15.7%
4 26
12.0%
7 22
10.2%
3 22
10.2%
6 18
8.3%
8 17
7.9%
9 15
6.9%
0 14
 
6.5%
5 13
 
6.0%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 944
67.1%
Common 462
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 91
 
9.6%
세 90
 
9.5%
치 83
 
8.8%
시 70
 
7.4%
특 69
 
7.3%
별 69
 
7.3%
자 69
 
7.3%
로 63
 
6.7%
면 41
 
4.3%
동 20
 
2.1%
Other values (84) 279
29.6%
Common
ValueCountFrequency (%)
219
47.4%
2 35
 
7.6%
1 34
 
7.4%
4 26
 
5.6%
7 22
 
4.8%
3 22
 
4.8%
6 18
 
3.9%
8 17
 
3.7%
9 15
 
3.2%
0 14
 
3.0%
Other values (4) 40
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
67.1%
ASCII 462
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
47.4%
2 35
 
7.6%
1 34
 
7.4%
4 26
 
5.6%
7 22
 
4.8%
3 22
 
4.8%
6 18
 
3.9%
8 17
 
3.7%
9 15
 
3.2%
0 14
 
3.0%
Other values (4) 40
 
8.7%
Hangul
ValueCountFrequency (%)
종 91
 
9.6%
세 90
 
9.5%
치 83
 
8.8%
시 70
 
7.4%
특 69
 
7.3%
별 69
 
7.3%
자 69
 
7.3%
로 63
 
6.7%
면 41
 
4.3%
동 20
 
2.1%
Other values (84) 279
29.6%

상표
Categorical

Distinct7
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
현대오일뱅크
18 
SK에너지
16 
GS칼텍스
14 
S-OIL
12 
자가상표
4 
Other values (2)
5 

Length

Max length6
Median length5
Mean length5.2463768
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNH-OIL
2nd rowS-OIL
3rd row자가상표
4th row자가상표
5th row현대오일뱅크

Common Values

ValueCountFrequency (%)
현대오일뱅크 18
26.1%
SK에너지 16
23.2%
GS칼텍스 14
20.3%
S-OIL 12
17.4%
자가상표 4
 
5.8%
NH-OIL 3
 
4.3%
알뜰주유소 2
 
2.9%

Length

2023-12-12T12:38:09.975971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:38:10.126131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현대오일뱅크 18
26.1%
sk에너지 16
23.2%
gs칼텍스 14
20.3%
s-oil 12
17.4%
자가상표 4
 
5.8%
nh-oil 3
 
4.3%
알뜰주유소 2
 
2.9%

전화번호
Text

MISSING 

Distinct66
Distinct (%)97.1%
Missing1
Missing (%)1.4%
Memory size684.0 B
2023-12-12T12:38:10.428240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters818
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

Unique64 ?
Unique (%)94.1%

Sample

1st row044-868-6145
2nd row044-868-2051
3rd row044-862-7712
4th row044-865-2321
5th row044-866-0220
ValueCountFrequency (%)
044-867-2124 2
 
2.9%
044-523-6565 2
 
2.9%
044-867-9036 1
 
1.5%
070-4196-7002 1
 
1.5%
044-868-6145 1
 
1.5%
044-864-5188 1
 
1.5%
044-867-5188 1
 
1.5%
044-852-5183 1
 
1.5%
044-857-3334 1
 
1.5%
044-863-3885 1
 
1.5%
Other values (56) 56
82.4%
2023-12-12T12:38:10.898921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 151
18.5%
- 136
16.6%
0 101
12.3%
8 93
11.4%
6 91
11.1%
5 64
7.8%
1 50
 
6.1%
2 46
 
5.6%
7 35
 
4.3%
3 35
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 682
83.4%
Dash Punctuation 136
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 151
22.1%
0 101
14.8%
8 93
13.6%
6 91
13.3%
5 64
9.4%
1 50
 
7.3%
2 46
 
6.7%
7 35
 
5.1%
3 35
 
5.1%
9 16
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 818
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 151
18.5%
- 136
16.6%
0 101
12.3%
8 93
11.4%
6 91
11.1%
5 64
7.8%
1 50
 
6.1%
2 46
 
5.6%
7 35
 
4.3%
3 35
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 151
18.5%
- 136
16.6%
0 101
12.3%
8 93
11.4%
6 91
11.1%
5 64
7.8%
1 50
 
6.1%
2 46
 
5.6%
7 35
 
4.3%
3 35
 
4.3%

셀프여부
Boolean

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size201.0 B
False
37 
True
32 
ValueCountFrequency (%)
False 37
53.6%
True 32
46.4%
2023-12-12T12:38:11.078522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.568205
Minimum36.439456
Maximum36.731322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T12:38:11.251784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.439456
5-th percentile36.466107
Q136.498639
median36.550878
Q336.622997
95-th percentile36.695227
Maximum36.731322
Range0.29186571
Interquartile range (IQR)0.12435798

Descriptive statistics

Standard deviation0.076895141
Coefficient of variation (CV)0.0021027869
Kurtosis-0.83595435
Mean36.568205
Median Absolute Deviation (MAD)0.05589211
Skewness0.38817479
Sum2523.2062
Variance0.0059128628
MonotonicityNot monotonic
2023-12-12T12:38:11.451608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.48091608 2
 
2.9%
36.5440766 1
 
1.4%
36.46948189 1
 
1.4%
36.52050804 1
 
1.4%
36.4394564 1
 
1.4%
36.60843697 1
 
1.4%
36.58444849 1
 
1.4%
36.57789766 1
 
1.4%
36.67142933 1
 
1.4%
36.48195828 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
36.4394564 1
1.4%
36.44436897 1
1.4%
36.46052264 1
1.4%
36.46471039 1
1.4%
36.46820236 1
1.4%
36.46902 1
1.4%
36.46948189 1
1.4%
36.48091608 2
2.9%
36.48195828 1
1.4%
36.48370799 1
1.4%
ValueCountFrequency (%)
36.73132211 1
1.4%
36.7281237 1
1.4%
36.70020997 1
1.4%
36.69754251 1
1.4%
36.69175457 1
1.4%
36.69103162 1
1.4%
36.69103144 1
1.4%
36.68101069 1
1.4%
36.67956799 1
1.4%
36.67951985 1
1.4%

경도
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.26991
Minimum127.15077
Maximum127.40042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T12:38:11.664439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.15077
5-th percentile127.16559
Q1127.23521
median127.28136
Q3127.29767
95-th percentile127.3643
Maximum127.40042
Range0.2496489
Interquartile range (IQR)0.0624588

Descriptive statistics

Standard deviation0.058242803
Coefficient of variation (CV)0.00045763214
Kurtosis-0.13662222
Mean127.26991
Median Absolute Deviation (MAD)0.0263355
Skewness-0.11705905
Sum8781.624
Variance0.0033922241
MonotonicityNot monotonic
2023-12-12T12:38:11.852221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3267241 2
 
2.9%
127.276626 1
 
1.4%
127.2831042 1
 
1.4%
127.2442946 1
 
1.4%
127.284106 1
 
1.4%
127.2972969 1
 
1.4%
127.2929811 1
 
1.4%
127.2920536 1
 
1.4%
127.2174616 1
 
1.4%
127.2539393 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
127.15077 1
1.4%
127.1536833 1
1.4%
127.1557619 1
1.4%
127.1637724 1
1.4%
127.1683133 1
1.4%
127.1849375 1
1.4%
127.1865437 1
1.4%
127.1880206 1
1.4%
127.1907723 1
1.4%
127.1917915 1
1.4%
ValueCountFrequency (%)
127.4004189 1
1.4%
127.3970217 1
1.4%
127.3855045 1
1.4%
127.3671251 1
1.4%
127.3600652 1
1.4%
127.3549134 1
1.4%
127.3497425 1
1.4%
127.3310497 1
1.4%
127.3267241 2
2.9%
127.3239247 1
1.4%

등록기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-11-28
69 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-28
2nd row2023-11-28
3rd row2023-11-28
4th row2023-11-28
5th row2023-11-28

Common Values

ValueCountFrequency (%)
2023-11-28 69
100.0%

Length

2023-12-12T12:38:12.047701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:38:12.198948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-28 69
100.0%

Interactions

2023-12-12T12:38:06.703736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:05.656017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.352947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.809738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.119932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.479980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.918734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.242709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:38:06.595283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:38:12.275407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호주소상표전화번호셀프여부위도경도
연번1.0000.9390.9390.4810.8610.5450.7050.554
상호0.9391.0001.0001.0001.0001.0000.9690.942
주소0.9391.0001.0001.0001.0001.0000.9690.942
상표0.4811.0001.0001.0001.0000.0420.2360.292
전화번호0.8611.0001.0001.0001.0000.7030.9100.808
셀프여부0.5451.0001.0000.0420.7031.0000.5050.207
위도0.7050.9690.9690.2360.9100.5051.0000.829
경도0.5540.9420.9420.2920.8080.2070.8291.000
2023-12-12T12:38:12.421362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
셀프여부상표
셀프여부1.0000.025
상표0.0251.000
2023-12-12T12:38:12.524439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도상표셀프여부
연번1.000-0.4690.0510.2580.392
위도-0.4691.000-0.2960.1090.363
경도0.051-0.2961.0000.1410.142
상표0.2580.1090.1411.0000.025
셀프여부0.3920.3630.1420.0251.000

Missing values

2023-12-12T12:38:07.078194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:38:07.245241image/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

연번지역상호주소상표전화번호셀프여부위도경도등록기준일
01세종특별자치시세종동부농협주유소세종특별자치시 부강면 부강외천로 10NH-OIL044-868-6145Y36.671429127.2174622023-11-28
12세종특별자치시㈜선인상사 우리나라주유소세종특별자치시 전의면 운주산로 1032S-OIL044-868-2051N36.627999127.2897472023-11-28
23세종특별자치시굿모닝주유소세종특별자치시 조치원읍 세종로 2712자가상표044-862-7712N36.625103127.2905552023-11-28
34세종특별자치시신안주유소세종특별자치시 조치원읍 세종로 2678자가상표044-865-2321Y36.731322127.1683132023-11-28
45세종특별자치시진영주유소세종특별자치시 소정면 세종로 4732현대오일뱅크044-866-0220Y36.559414127.2813632023-11-28
56세종특별자치시봉암주유소세종특별자치시 연서면 세종로 1899SK에너지044-868-5189Y36.67952127.1865442023-11-28
67세종특별자치시충청에너지주유소세종특별자치시 전의면 세종로 3894GS칼텍스044-862-5133Y36.615022127.2930432023-11-28
78세종특별자치시신원주유소세종특별자치시 조치원읍 세종로 2562SK에너지044-868-5101Y36.627556127.2899642023-11-28
89세종특별자치시그린주유소세종특별자치시 조치원읍 세종로 2706현대오일뱅크044-868-5142Y36.70021127.150772023-11-28
910세종특별자치시세종주유소세종특별자치시 소정면 세종로 4313현대오일뱅크044-552-5185Y36.697543127.1536832023-11-28
연번지역상호주소상표전화번호셀프여부위도경도등록기준일
5960세종특별자치시SK에너지(주)가람셀프주유소세종특별자치시 금송로 589 (가람동)SK에너지044-868-5117Y36.46471127.2443372023-11-28
6061세종특별자치시세종감성셀프주유소세종특별자치시 금남면 안금로 581S-OIL044-862-3980Y36.444369127.2867212023-11-28
6162세종특별자치시비타민세종셀프주유소세종특별자치시 다정북로 221 (다정동)S-OIL044-863-6273Y36.494985127.2550282023-11-28
6263세종특별자치시아성알뜰주유소세종특별자치시 다정북로 40 (다정동)알뜰주유소044-862-0935Y36.497425127.2352072023-11-28
6364세종특별자치시해광셀프주유소세종특별자치시 소정면 세종로 4679S-OIL044-866-6479N36.728124127.1637722023-11-28
6465세종특별자치시SK세종전의주유소세종특별자치시 전의면 세종로 3907자가상표044-866-5883N36.678892127.1849382023-11-28
6566세종특별자치시서세종농협주유소세종특별자치시 연서면 함박로 122SK에너지044-867-2124N36.575753127.264682023-11-28
6667세종특별자치시SK엔크린 세종대평주유소세종특별자치시 종합운동장로 29SK에너지070-4196-7002Y36.46902127.268352023-11-28
6768세종특별자치시세종중앙농협주유소세종특별자치시 연기면 잣띠길 4자가상표044-867-9036Y36.54883127.27882023-11-28
6869세종특별자치시동인청사㈜ 구도일주유소(신규)세종특별자치시 다솜로 38S-OIL<NA>Y36.480916127.3267242023-11-28