Overview

Dataset statistics

Number of variables8
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory70.1 B

Variable types

Text4
Categorical1
Numeric2
DateTime1

Dataset

Description경상남도 거창군 주유소의 데이터로 업소명, 소재지도로명주소, 소재지지번주소, 상표, 전화번호, 위도, 경도 등의 항목을 제공합니다
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15113373/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:07:30.184868
Analysis finished2024-04-29 23:07:32.910116
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-30T08:07:33.060152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length7.65625
Min length5

Characters and Unicode

Total characters245
Distinct characters77
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

Unique32 ?
Unique (%)100.0%

Sample

1st row대동주유소
2nd row대호주유소
3rd row중동주유소
4th row푸른주유소
5th row아림주유소
ValueCountFrequency (%)
대동주유소 1
 
2.8%
대호주유소 1
 
2.8%
거창소만주유소 1
 
2.8%
송천주유소 1
 
2.8%
우리영농조합법인 1
 
2.8%
농민주유소 1
 
2.8%
수승대농협주유소 1
 
2.8%
동거창농협 1
 
2.8%
남거창농협주유소 1
 
2.8%
북부농협 1
 
2.8%
Other values (26) 26
72.2%
2024-04-30T08:07:33.473442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 34
 
13.9%
주 33
 
13.5%
유 31
 
12.7%
거 10
 
4.1%
창 10
 
4.1%
농 10
 
4.1%
협 7
 
2.9%
대 5
 
2.0%
) 5
 
2.0%
( 5
 
2.0%
Other values (67) 95
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
91.4%
Close Punctuation 5
 
2.0%
Open Punctuation 5
 
2.0%
Space Separator 4
 
1.6%
Uppercase Letter 4
 
1.6%
Other Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 34
15.2%
주 33
14.7%
유 31
13.8%
거 10
 
4.5%
창 10
 
4.5%
농 10
 
4.5%
협 7
 
3.1%
대 5
 
2.2%
동 5
 
2.2%
지 4
 
1.8%
Other values (57) 75
33.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
25.0%
C 1
25.0%
S 1
25.0%
K 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
91.8%
Common 16
 
6.5%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 34
15.1%
주 33
14.7%
유 31
13.8%
거 10
 
4.4%
창 10
 
4.4%
농 10
 
4.4%
협 7
 
3.1%
대 5
 
2.2%
동 5
 
2.2%
지 4
 
1.8%
Other values (58) 76
33.8%
Common
ValueCountFrequency (%)
) 5
31.2%
( 5
31.2%
4
25.0%
/ 1
 
6.2%
3 1
 
6.2%
Latin
ValueCountFrequency (%)
I 1
25.0%
C 1
25.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
91.4%
ASCII 20
 
8.2%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 34
15.2%
주 33
14.7%
유 31
13.8%
거 10
 
4.5%
창 10
 
4.5%
농 10
 
4.5%
협 7
 
3.1%
대 5
 
2.2%
동 5
 
2.2%
지 4
 
1.8%
Other values (57) 75
33.5%
ASCII
ValueCountFrequency (%)
) 5
25.0%
( 5
25.0%
4
20.0%
/ 1
 
5.0%
3 1
 
5.0%
I 1
 
5.0%
C 1
 
5.0%
S 1
 
5.0%
K 1
 
5.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-30T08:07:33.694016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.71875
Min length19

Characters and Unicode

Total characters663
Distinct characters56
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row경상남도 거창군 거창읍 거열로 229
2nd row경상남도 거창군 남하면 영서로 510
3rd row경상남도 거창군 거창읍 거창대로 4
4th row경상남도 거창군 마리면 거안로 659
5th row경상남도 거창군 거창읍 거열로4길 92
ValueCountFrequency (%)
경상남도 32
20.0%
거창군 32
20.0%
거창읍 16
 
10.0%
거열로 5
 
3.1%
마리면 3
 
1.9%
주상면 3
 
1.9%
가조면 3
 
1.9%
가조가야로 3
 
1.9%
웅양로 3
 
1.9%
주곡로 2
 
1.2%
Other values (52) 58
36.2%
2024-04-30T08:07:34.053802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
19.3%
거 59
 
8.9%
창 51
 
7.7%
남 36
 
5.4%
상 36
 
5.4%
경 32
 
4.8%
도 32
 
4.8%
군 32
 
4.8%
로 31
 
4.7%
1 22
 
3.3%
Other values (46) 204
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 430
64.9%
Space Separator 128
 
19.3%
Decimal Number 104
 
15.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 59
13.7%
창 51
11.9%
남 36
8.4%
상 36
8.4%
경 32
 
7.4%
도 32
 
7.4%
군 32
 
7.4%
로 31
 
7.2%
읍 16
 
3.7%
면 16
 
3.7%
Other values (34) 89
20.7%
Decimal Number
ValueCountFrequency (%)
1 22
21.2%
2 15
14.4%
5 13
12.5%
4 11
10.6%
9 11
10.6%
3 9
8.7%
8 7
 
6.7%
0 7
 
6.7%
7 5
 
4.8%
6 4
 
3.8%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 430
64.9%
Common 233
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 59
13.7%
창 51
11.9%
남 36
8.4%
상 36
8.4%
경 32
 
7.4%
도 32
 
7.4%
군 32
 
7.4%
로 31
 
7.2%
읍 16
 
3.7%
면 16
 
3.7%
Other values (34) 89
20.7%
Common
ValueCountFrequency (%)
128
54.9%
1 22
 
9.4%
2 15
 
6.4%
5 13
 
5.6%
4 11
 
4.7%
9 11
 
4.7%
3 9
 
3.9%
8 7
 
3.0%
0 7
 
3.0%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 430
64.9%
ASCII 233
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
54.9%
1 22
 
9.4%
2 15
 
6.4%
5 13
 
5.6%
4 11
 
4.7%
9 11
 
4.7%
3 9
 
3.9%
8 7
 
3.0%
0 7
 
3.0%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
거 59
13.7%
창 51
11.9%
남 36
8.4%
상 36
8.4%
경 32
 
7.4%
도 32
 
7.4%
군 32
 
7.4%
로 31
 
7.2%
읍 16
 
3.7%
면 16
 
3.7%
Other values (34) 89
20.7%

소재지지번주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-30T08:07:34.283832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.375
Min length19

Characters and Unicode

Total characters684
Distinct characters60
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row경상남도 거창군 거창읍 대동리 652
2nd row경상남도 거창군 남하면 대야리 1533
3rd row경상남도 거창군 거창읍 대평리 931-3
4th row경상남도 거창군 마리면 대동리 1527-1
5th row경상남도 거창군 거창읍 중앙리 488
ValueCountFrequency (%)
경상남도 32
19.6%
거창군 32
19.6%
거창읍 16
 
9.8%
대동리 5
 
3.1%
주상면 3
 
1.8%
대평리 3
 
1.8%
마리면 3
 
1.8%
가조면 3
 
1.8%
산 3
 
1.8%
김천리 2
 
1.2%
Other values (54) 61
37.4%
2024-04-30T08:07:34.667519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
19.2%
거 48
 
7.0%
창 48
 
7.0%
상 39
 
5.7%
리 35
 
5.1%
도 35
 
5.1%
남 34
 
5.0%
경 32
 
4.7%
군 32
 
4.7%
8 18
 
2.6%
Other values (50) 232
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
61.0%
Space Separator 131
 
19.2%
Decimal Number 119
 
17.4%
Dash Punctuation 17
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 48
11.5%
창 48
11.5%
상 39
9.4%
리 35
8.4%
도 35
8.4%
남 34
8.2%
경 32
 
7.7%
군 32
 
7.7%
면 16
 
3.8%
읍 16
 
3.8%
Other values (38) 82
19.7%
Decimal Number
ValueCountFrequency (%)
8 18
15.1%
1 18
15.1%
2 18
15.1%
9 13
10.9%
5 13
10.9%
3 12
10.1%
4 9
7.6%
6 7
 
5.9%
0 6
 
5.0%
7 5
 
4.2%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
61.0%
Common 267
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 48
11.5%
창 48
11.5%
상 39
9.4%
리 35
8.4%
도 35
8.4%
남 34
8.2%
경 32
 
7.7%
군 32
 
7.7%
면 16
 
3.8%
읍 16
 
3.8%
Other values (38) 82
19.7%
Common
ValueCountFrequency (%)
131
49.1%
8 18
 
6.7%
1 18
 
6.7%
2 18
 
6.7%
- 17
 
6.4%
9 13
 
4.9%
5 13
 
4.9%
3 12
 
4.5%
4 9
 
3.4%
6 7
 
2.6%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
61.0%
ASCII 267
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
49.1%
8 18
 
6.7%
1 18
 
6.7%
2 18
 
6.7%
- 17
 
6.4%
9 13
 
4.9%
5 13
 
4.9%
3 12
 
4.5%
4 9
 
3.4%
6 7
 
2.6%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
거 48
11.5%
창 48
11.5%
상 39
9.4%
리 35
8.4%
도 35
8.4%
남 34
8.2%
경 32
 
7.7%
군 32
 
7.7%
면 16
 
3.8%
읍 16
 
3.8%
Other values (38) 82
19.7%

상표
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
NH-OIL
7 
S-OIL
6 
GS칼텍스
6 
현대오일뱅크
5 
SK에너지
4 
Other values (2)
4 

Length

Max length6
Median length5.5
Mean length5.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS-OIL
2nd rowPB
3rd rowPB
4th rowS-OIL
5th rowGS칼텍스

Common Values

ValueCountFrequency (%)
NH-OIL 7
21.9%
S-OIL 6
18.8%
GS칼텍스 6
18.8%
현대오일뱅크 5
15.6%
SK에너지 4
12.5%
PB 2
 
6.2%
EX-OIL 2
 
6.2%

Length

2024-04-30T08:07:34.818839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:34.946568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nh-oil 7
21.9%
s-oil 6
18.8%
gs칼텍스 6
18.8%
현대오일뱅크 5
15.6%
sk에너지 4
12.5%
pb 2
 
6.2%
ex-oil 2
 
6.2%

전화번호
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-30T08:07:35.134880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique30 ?
Unique (%)93.8%

Sample

1st row055-944-5149
2nd row055-945-1484
3rd row055-944-7640
4th row055-941-0814
5th row055-943-4994
ValueCountFrequency (%)
055-941-0863 2
 
6.2%
055-944-5149 1
 
3.1%
055-942-8614 1
 
3.1%
055-945-5150 1
 
3.1%
055-944-5104 1
 
3.1%
055-945-2744 1
 
3.1%
055-944-0040 1
 
3.1%
055-943-1040 1
 
3.1%
055-942-5151 1
 
3.1%
055-943-9997 1
 
3.1%
Other values (21) 21
65.6%
2024-04-30T08:07:35.461184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 88
22.9%
- 64
16.7%
4 57
14.8%
0 53
13.8%
9 43
11.2%
1 23
 
6.0%
3 19
 
4.9%
8 12
 
3.1%
7 9
 
2.3%
6 8
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 88
27.5%
4 57
17.8%
0 53
16.6%
9 43
13.4%
1 23
 
7.2%
3 19
 
5.9%
8 12
 
3.8%
7 9
 
2.8%
6 8
 
2.5%
2 8
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 88
22.9%
- 64
16.7%
4 57
14.8%
0 53
13.8%
9 43
11.2%
1 23
 
6.0%
3 19
 
4.9%
8 12
 
3.1%
7 9
 
2.3%
6 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 88
22.9%
- 64
16.7%
4 57
14.8%
0 53
13.8%
9 43
11.2%
1 23
 
6.0%
3 19
 
4.9%
8 12
 
3.1%
7 9
 
2.3%
6 8
 
2.1%

위도
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.706199
Minimum35.570378
Maximum35.872418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T08:07:35.585633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.570378
5-th percentile35.640683
Q135.682524
median35.691712
Q335.717638
95-th percentile35.805905
Maximum35.872418
Range0.30204034
Interquartile range (IQR)0.035113143

Descriptive statistics

Standard deviation0.055602346
Coefficient of variation (CV)0.0015572183
Kurtosis2.3985815
Mean35.706199
Median Absolute Deviation (MAD)0.01341914
Skewness0.81170061
Sum1142.5984
Variance0.0030916208
MonotonicityNot monotonic
2024-04-30T08:07:35.683776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
35.69276892 1
 
3.1%
35.68978474 1
 
3.1%
35.6843197 1
 
3.1%
35.70873335 1
 
3.1%
35.70629602 1
 
3.1%
35.67945774 1
 
3.1%
35.68039952 1
 
3.1%
35.8724183 1
 
3.1%
35.6444298 1
 
3.1%
35.71064173 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
35.57037796 1
3.1%
35.63610297 1
3.1%
35.6444298 1
3.1%
35.66906158 1
3.1%
35.67348455 1
3.1%
35.67945774 1
3.1%
35.68039952 1
3.1%
35.68211621 1
3.1%
35.68266044 1
3.1%
35.68402415 1
3.1%
ValueCountFrequency (%)
35.8724183 1
3.1%
35.80905994 1
3.1%
35.80332428 1
3.1%
35.77926727 1
3.1%
35.76209767 1
3.1%
35.74849202 1
3.1%
35.74774617 1
3.1%
35.73862491 1
3.1%
35.71064173 1
3.1%
35.70873335 1
3.1%

경도
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.92248
Minimum127.83442
Maximum128.05802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T08:07:35.793700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.83442
5-th percentile127.84903
Q1127.90837
median127.91732
Q3127.92432
95-th percentile128.03173
Maximum128.05802
Range0.2236072
Interquartile range (IQR)0.0159448

Descriptive statistics

Standard deviation0.050305711
Coefficient of variation (CV)0.00039325153
Kurtosis2.1832858
Mean127.92248
Median Absolute Deviation (MAD)0.00816245
Skewness1.1308715
Sum4093.5193
Variance0.0025306645
MonotonicityNot monotonic
2024-04-30T08:07:35.920031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
127.9177797 1
 
3.1%
127.910549 1
 
3.1%
127.8989886 1
 
3.1%
128.058023 1
 
3.1%
128.0569723 1
 
3.1%
127.9115746 1
 
3.1%
127.9096823 1
 
3.1%
127.9211245 1
 
3.1%
127.9086229 1
 
3.1%
128.0110847 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
127.8344158 1
3.1%
127.8430326 1
3.1%
127.8539414 1
3.1%
127.8597218 1
3.1%
127.8757845 1
3.1%
127.8989886 1
3.1%
127.9030295 1
3.1%
127.9076282 1
3.1%
127.9086229 1
3.1%
127.9096823 1
3.1%
ValueCountFrequency (%)
128.058023 1
3.1%
128.0569723 1
3.1%
128.0110847 1
3.1%
127.9937587 1
3.1%
127.967233 1
3.1%
127.932325 1
3.1%
127.9309418 1
3.1%
127.9247715 1
3.1%
127.9241682 1
3.1%
127.9220143 1
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-04-14 00:00:00
Maximum2024-04-14 00:00:00
2024-04-30T08:07:36.009348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:36.092696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T08:07:32.499686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:32.269436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:32.597676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:32.415126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:07:36.171749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지지번주소상표전화번호위도경도
업소명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
상표1.0001.0001.0001.0001.0000.0000.617
전화번호1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.0001.0001.0000.395
경도1.0001.0001.0000.6171.0000.3951.000
2024-04-30T08:07:36.285422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도상표
위도1.000-0.0340.000
경도-0.0341.0000.373
상표0.0000.3731.000

Missing values

2024-04-30T08:07:32.718087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:07:32.854943image/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

업소명소재지도로명주소소재지지번주소상표전화번호위도경도데이터기준일자
0대동주유소경상남도 거창군 거창읍 거열로 229경상남도 거창군 거창읍 대동리 652S-OIL055-944-514935.692769127.917782024-04-14
1대호주유소경상남도 거창군 남하면 영서로 510경상남도 거창군 남하면 대야리 1533PB055-945-148435.636103127.9672332024-04-14
2중동주유소경상남도 거창군 거창읍 거창대로 4경상남도 거창군 거창읍 대평리 931-3PB055-944-764035.682116127.9183722024-04-14
3푸른주유소경상남도 거창군 마리면 거안로 659경상남도 거창군 마리면 대동리 1527-1S-OIL055-941-081435.688009127.8430332024-04-14
4아림주유소경상남도 거창군 거창읍 거열로4길 92경상남도 거창군 거창읍 중앙리 488GS칼텍스055-943-499435.692667127.9076282024-04-14
5거창고속IC주유소경상남도 거창군 거창읍 창동로 75경상남도 거창군 거창읍 대평리 1498-1GS칼텍스055-945-119535.684024127.9220142024-04-14
6웅양주유소경상남도 거창군 웅양면 웅양로 1475경상남도 거창군 웅양면 노현리 1404S-OIL055-943-103135.80906127.9194672024-04-14
7코끼리주유소(SK)경상남도 거창군 거창읍 밤티재로 1275경상남도 거창군 거창읍 정장리 95-8SK에너지055-945-337735.669062127.9309422024-04-14
8위천중앙주유소경상남도 거창군 위천면 원학길 294경상남도 거창군 위천면 장기리 617-3SK에너지055-943-001835.748492127.8344162024-04-14
9원동주유소경상남도 거창군 거창읍 주곡로 500경상남도 거창군 거창읍 서변리 28-9S-OIL055-942-185535.738625127.9241682024-04-14
업소명소재지도로명주소소재지지번주소상표전화번호위도경도데이터기준일자
22우리영농조합법인 농민주유소경상남도 거창군 마리면 거안로 886경상남도 거창군 마리면 말흘리 39GS칼텍스055-943-999735.698099127.8597222024-04-14
23수승대농협주유소경상남도 거창군 마리면 빼재로 19경상남도 거창군 마리면 말흘리 340NH-OIL055-942-515135.70118127.8539412024-04-14
24동거창농협경상남도 거창군 가조면 가조가야로 1051경상남도 거창군 가조면 마상리 698NH-OIL055-943-104035.710642128.0110852024-04-14
25남거창농협주유소경상남도 거창군 남상면 수남로 1841경상남도 거창군 남상면 무촌리 602NH-OIL055-944-004035.64443127.9086232024-04-14
26북부농협 하성지소경상남도 거창군 웅양면 웅양로 2313경상남도 거창군 웅양면 한기리 915NH-OIL055-945-274435.872418127.9211252024-04-14
27거창농협주유소경상남도 거창군 거창읍 거함대로 3179경상남도 거창군 거창읍 김천리 322NH-OIL055-944-510435.6804127.9096822024-04-14
28거창사과원예농협주유소경상남도 거창군 거창읍 수남로 2245경상남도 거창군 거창읍 김천리 255-52NH-OIL055-945-515035.679458127.9115752024-04-14
29(주)승진에너지 거창(대구방향)주유소경상남도 거창군 가조면 가조가야로 1523경상남도 거창군 가조면 도리 산 181EX-OIL055-941-086335.706296128.0569722024-04-14
30㈜승진에너지 거창(광주방향)주유소/충전소경상남도 거창군 가조면 가조가야로 1543-81경상남도 거창군 가조면 도리 산 181EX-OIL055-941-086335.708733128.0580232024-04-14
313교주유소경상남도 거창군 거창읍 거열로 22경상남도 거창군 거창읍 상림리 534-2S-OIL055-944-565635.68432127.8989892024-04-14