Overview

Dataset statistics

Number of variables5
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Text4

Dataset

Description전라남도 순천시의 주유소에 관한 상호명, 도로명주소, 지번주소, 전화번호 등을 제공하는 공공데이터 파일입니다.
URLhttps://www.data.go.kr/data/15117815/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:51:34.176384
Analysis finished2023-12-12 09:51:34.925291
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T18:51:35.013486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.3
Q122.5
median44
Q365.5
95-th percentile82.7
Maximum87
Range86
Interquartile range (IQR)43

Descriptive statistics

Standard deviation25.258662
Coefficient of variation (CV)0.5740605
Kurtosis-1.2
Mean44
Median Absolute Deviation (MAD)22
Skewness0
Sum3828
Variance638
MonotonicityStrictly increasing
2023-12-12T18:51:35.203520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
78 1
1.1%

상호명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T18:51:35.479861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.2873563
Min length5

Characters and Unicode

Total characters721
Distinct characters161
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row주식회사 에스케이 신대셀프주유소
2nd row(주)가곡에너지
3rd row신대우리알뜰주유소
4th row신대셀프주유소
5th row지에스칼텍스(주) 이마트순천점
ValueCountFrequency (%)
지에스칼텍스(주 3
 
2.7%
신대셀프주유소 2
 
1.8%
미송주유소(주 2
 
1.8%
위즈코프(주 2
 
1.8%
에이치디현대오일뱅크(주)직영 2
 
1.8%
주식회사 1
 
0.9%
대지주유소 1
 
0.9%
강변주유소 1
 
0.9%
인월주유소 1
 
0.9%
순천원예농협주유소 1
 
0.9%
Other values (95) 95
85.6%
2023-12-12T18:51:35.935132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
14.8%
88
 
12.2%
85
 
11.8%
( 26
 
3.6%
) 26
 
3.6%
24
 
3.3%
14
 
1.9%
13
 
1.8%
12
 
1.7%
11
 
1.5%
Other values (151) 315
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 644
89.3%
Open Punctuation 26
 
3.6%
Close Punctuation 26
 
3.6%
Space Separator 24
 
3.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
107
 
16.6%
88
 
13.7%
85
 
13.2%
14
 
2.2%
13
 
2.0%
12
 
1.9%
11
 
1.7%
11
 
1.7%
8
 
1.2%
8
 
1.2%
Other values (147) 287
44.6%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 644
89.3%
Common 77
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
 
16.6%
88
 
13.7%
85
 
13.2%
14
 
2.2%
13
 
2.0%
12
 
1.9%
11
 
1.7%
11
 
1.7%
8
 
1.2%
8
 
1.2%
Other values (147) 287
44.6%
Common
ValueCountFrequency (%)
( 26
33.8%
) 26
33.8%
24
31.2%
2 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 644
89.3%
ASCII 77
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
107
 
16.6%
88
 
13.7%
85
 
13.2%
14
 
2.2%
13
 
2.0%
12
 
1.9%
11
 
1.7%
11
 
1.7%
8
 
1.2%
8
 
1.2%
Other values (147) 287
44.6%
ASCII
ValueCountFrequency (%)
( 26
33.8%
) 26
33.8%
24
31.2%
2 1
 
1.3%

도로명주소
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T18:51:36.293396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.034483
Min length18

Characters and Unicode

Total characters1830
Distinct characters98
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

Unique87 ?
Unique (%)100.0%

Sample

1st row전라남도 순천시 해룡면 해광로 186
2nd row전라남도 순천시 중앙로 432 (가곡동)
3rd row전라남도 순천시 해룡면 신대로 233
4th row전라남도 순천시 해룡면 상성길 286
5th row전라남도 순천시 팔마로 191 (덕암동)
ValueCountFrequency (%)
전라남도 87
20.0%
순천시 87
20.0%
해룡면 15
 
3.4%
서면 12
 
2.8%
가곡동 9
 
2.1%
중앙로 9
 
2.1%
녹색로 9
 
2.1%
백강로 9
 
2.1%
여순로 8
 
1.8%
별량면 8
 
1.8%
Other values (134) 183
42.0%
2023-12-12T18:51:36.787039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
19.1%
109
 
6.0%
100
 
5.5%
94
 
5.1%
92
 
5.0%
91
 
5.0%
87
 
4.8%
87
 
4.8%
80
 
4.4%
1 50
 
2.7%
Other values (88) 691
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
62.6%
Space Separator 349
 
19.1%
Decimal Number 254
 
13.9%
Open Punctuation 40
 
2.2%
Close Punctuation 40
 
2.2%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
109
 
9.5%
100
 
8.7%
94
 
8.2%
92
 
8.0%
91
 
7.9%
87
 
7.6%
87
 
7.6%
80
 
7.0%
46
 
4.0%
44
 
3.8%
Other values (73) 315
27.5%
Decimal Number
ValueCountFrequency (%)
1 50
19.7%
2 33
13.0%
4 27
10.6%
3 27
10.6%
5 26
10.2%
9 25
9.8%
8 21
8.3%
6 17
 
6.7%
0 16
 
6.3%
7 12
 
4.7%
Space Separator
ValueCountFrequency (%)
349
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1145
62.6%
Common 685
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
109
 
9.5%
100
 
8.7%
94
 
8.2%
92
 
8.0%
91
 
7.9%
87
 
7.6%
87
 
7.6%
80
 
7.0%
46
 
4.0%
44
 
3.8%
Other values (73) 315
27.5%
Common
ValueCountFrequency (%)
349
50.9%
1 50
 
7.3%
( 40
 
5.8%
) 40
 
5.8%
2 33
 
4.8%
4 27
 
3.9%
3 27
 
3.9%
5 26
 
3.8%
9 25
 
3.6%
8 21
 
3.1%
Other values (5) 47
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
62.6%
ASCII 685
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
50.9%
1 50
 
7.3%
( 40
 
5.8%
) 40
 
5.8%
2 33
 
4.8%
4 27
 
3.9%
3 27
 
3.9%
5 26
 
3.8%
9 25
 
3.6%
8 21
 
3.1%
Other values (5) 47
 
6.9%
Hangul
ValueCountFrequency (%)
109
 
9.5%
100
 
8.7%
94
 
8.2%
92
 
8.0%
91
 
7.9%
87
 
7.6%
87
 
7.6%
80
 
7.0%
46
 
4.0%
44
 
3.8%
Other values (73) 315
27.5%

지번주소
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T18:51:37.412619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length25.298851
Min length19

Characters and Unicode

Total characters2201
Distinct characters93
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row전라남도 순천시 해룡면 신대리 2138 번지3 호
2nd row전라남도 순천시 가곡동 186 번지
3rd row전라남도 순천시 해룡면 신대리 1214 번지외1215, 1224
4th row전라남도 순천시 해룡면 상삼리 463 번지2 호
5th row전라남도 순천시 덕암동 146 번지10 호외 4필지
ValueCountFrequency (%)
전라남도 87
 
15.8%
순천시 87
 
15.8%
59
 
10.7%
번지 23
 
4.2%
번지1 20
 
3.6%
해룡면 15
 
2.7%
서면 12
 
2.2%
번지3 11
 
2.0%
번지2 9
 
1.6%
가곡동 9
 
1.6%
Other values (160) 219
39.7%
2023-12-12T18:51:37.918766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
591
26.9%
93
 
4.2%
91
 
4.1%
1 90
 
4.1%
90
 
4.1%
89
 
4.0%
87
 
4.0%
87
 
4.0%
87
 
4.0%
87
 
4.0%
Other values (83) 809
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
56.5%
Space Separator 591
26.9%
Decimal Number 360
 
16.4%
Dash Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
 
7.5%
91
 
7.3%
90
 
7.2%
89
 
7.2%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
67
 
5.4%
Other values (70) 378
30.4%
Decimal Number
ValueCountFrequency (%)
1 90
25.0%
2 49
13.6%
3 43
11.9%
5 35
 
9.7%
4 31
 
8.6%
0 27
 
7.5%
8 25
 
6.9%
6 24
 
6.7%
7 20
 
5.6%
9 16
 
4.4%
Space Separator
ValueCountFrequency (%)
591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
56.5%
Common 958
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
 
7.5%
91
 
7.3%
90
 
7.2%
89
 
7.2%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
67
 
5.4%
Other values (70) 378
30.4%
Common
ValueCountFrequency (%)
591
61.7%
1 90
 
9.4%
2 49
 
5.1%
3 43
 
4.5%
5 35
 
3.7%
4 31
 
3.2%
0 27
 
2.8%
8 25
 
2.6%
6 24
 
2.5%
7 20
 
2.1%
Other values (3) 23
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
56.5%
ASCII 958
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
591
61.7%
1 90
 
9.4%
2 49
 
5.1%
3 43
 
4.5%
5 35
 
3.7%
4 31
 
3.2%
0 27
 
2.8%
8 25
 
2.6%
6 24
 
2.5%
7 20
 
2.1%
Other values (3) 23
 
2.4%
Hangul
ValueCountFrequency (%)
93
 
7.5%
91
 
7.3%
90
 
7.2%
89
 
7.2%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
87
 
7.0%
67
 
5.4%
Other values (70) 378
30.4%

전화번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T18:51:38.199077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1044
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

Unique87 ?
Unique (%)100.0%

Sample

1st row061-723-9962
2nd row061-752-1504
3rd row061-723-8866
4th row061-724-5599
5th row061-749-1151
ValueCountFrequency (%)
061-723-9962 1
 
1.1%
061-751-0086 1
 
1.1%
061-755-7878 1
 
1.1%
061-754-9249 1
 
1.1%
061-754-9995 1
 
1.1%
061-742-6506 1
 
1.1%
061-755-5368 1
 
1.1%
061-746-0051 1
 
1.1%
061-741-5111 1
 
1.1%
061-752-4837 1
 
1.1%
Other values (77) 77
88.5%
2023-12-12T18:51:38.637901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 174
16.7%
1 150
14.4%
0 125
12.0%
6 118
11.3%
7 114
10.9%
5 99
9.5%
4 84
8.0%
2 68
 
6.5%
8 48
 
4.6%
3 36
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 870
83.3%
Dash Punctuation 174
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 150
17.2%
0 125
14.4%
6 118
13.6%
7 114
13.1%
5 99
11.4%
4 84
9.7%
2 68
7.8%
8 48
 
5.5%
3 36
 
4.1%
9 28
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1044
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 174
16.7%
1 150
14.4%
0 125
12.0%
6 118
11.3%
7 114
10.9%
5 99
9.5%
4 84
8.0%
2 68
 
6.5%
8 48
 
4.6%
3 36
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 174
16.7%
1 150
14.4%
0 125
12.0%
6 118
11.3%
7 114
10.9%
5 99
9.5%
4 84
8.0%
2 68
 
6.5%
8 48
 
4.6%
3 36
 
3.4%

Interactions

2023-12-12T18:51:34.620787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:51:38.751807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소지번주소전화번호
연번1.0001.0001.0001.0001.000
상호명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T18:51:34.760229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:51:34.873049image/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

연번상호명도로명주소지번주소전화번호
01주식회사 에스케이 신대셀프주유소전라남도 순천시 해룡면 해광로 186전라남도 순천시 해룡면 신대리 2138 번지3 호061-723-9962
12(주)가곡에너지전라남도 순천시 중앙로 432 (가곡동)전라남도 순천시 가곡동 186 번지061-752-1504
23신대우리알뜰주유소전라남도 순천시 해룡면 신대로 233전라남도 순천시 해룡면 신대리 1214 번지외1215, 1224061-723-8866
34신대셀프주유소전라남도 순천시 해룡면 상성길 286전라남도 순천시 해룡면 상삼리 463 번지2 호061-724-5599
45지에스칼텍스(주) 이마트순천점전라남도 순천시 팔마로 191 (덕암동)전라남도 순천시 덕암동 146 번지10 호외 4필지061-749-1151
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