Overview

Dataset statistics

Number of variables6
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory50.8 B

Variable types

Categorical2
Text4

Dataset

Description대구광역시 수성구 관내 석유판매업에 관한 데이터로 석유판매업 사업구분, 상호, 영업소소재지(도로명), 영업소소재지(지번) 등의 항목을 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/3071462/fileData.do

Alerts

기준일 has constant value ""Constant
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique
영업소소재지(지번) has unique valuesUnique
영업소전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:41:23.943157
Analysis finished2023-12-12 16:41:24.494910
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
주유소
35 
일반판매소
12 

Length

Max length5
Median length3
Mean length3.5106383
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 35
74.5%
일반판매소 12
 
25.5%

Length

2023-12-13T01:41:24.601084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:41:24.739180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 35
74.5%
일반판매소 12
 
25.5%

상호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T01:41:24.977523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.6808511
Min length4

Characters and Unicode

Total characters361
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowSK수성대경대흥석유
2nd row한솔석유
3rd row좋은석유
4th row수산석유
5th row만촌하나석유
ValueCountFrequency (%)
구도일주유소 2
 
3.8%
sk수성대경대흥석유 1
 
1.9%
샛별주유소 1
 
1.9%
한일주유소 1
 
1.9%
무열로 1
 
1.9%
하나주유소 1
 
1.9%
버디클럽오일뱅크 1
 
1.9%
흥구동신주유소 1
 
1.9%
지에스칼텍스(주)황금기름창고주유소 1
 
1.9%
한결주유소 1
 
1.9%
Other values (41) 41
78.8%
2023-12-13T01:41:25.437068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
12.7%
45
 
12.5%
34
 
9.4%
) 11
 
3.0%
( 11
 
3.0%
10
 
2.8%
9
 
2.5%
9
 
2.5%
8
 
2.2%
8
 
2.2%
Other values (96) 170
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
91.7%
Close Punctuation 11
 
3.0%
Open Punctuation 11
 
3.0%
Space Separator 5
 
1.4%
Uppercase Letter 2
 
0.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
13.9%
45
 
13.6%
34
 
10.3%
10
 
3.0%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
Other values (90) 148
44.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
91.7%
Common 28
 
7.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
13.9%
45
 
13.6%
34
 
10.3%
10
 
3.0%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
Other values (90) 148
44.7%
Common
ValueCountFrequency (%)
) 11
39.3%
( 11
39.3%
5
17.9%
2 1
 
3.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
91.7%
ASCII 30
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
46
 
13.9%
45
 
13.6%
34
 
10.3%
10
 
3.0%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
Other values (90) 148
44.7%
ASCII
ValueCountFrequency (%)
) 11
36.7%
( 11
36.7%
5
16.7%
S 1
 
3.3%
2 1
 
3.3%
K 1
 
3.3%
Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T01:41:25.787300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length27.234043
Min length20

Characters and Unicode

Total characters1280
Distinct characters69
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 수성로12길 68-14 (상동)
2nd row대구광역시 수성구 국채보상로 1026 (만촌동)
3rd row대구광역시 수성구 들안로2안길 9 (두산동)
4th row대구광역시 수성구 동대구로29길 54-41 (황금동)
5th row대구광역시 수성구 국채보상로192길 11 (범어동)
ValueCountFrequency (%)
대구광역시 47
19.1%
수성구 47
19.1%
달구벌대로 11
 
4.5%
만촌동 9
 
3.7%
범어동 6
 
2.4%
지산동 5
 
2.0%
화랑로 4
 
1.6%
상동 4
 
1.6%
청수로 4
 
1.6%
황금동 3
 
1.2%
Other values (94) 106
43.1%
2023-12-13T01:41:26.222337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
15.5%
108
 
8.4%
61
 
4.8%
56
 
4.4%
1 55
 
4.3%
53
 
4.1%
50
 
3.9%
49
 
3.8%
) 48
 
3.8%
( 48
 
3.8%
Other values (59) 553
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 726
56.7%
Decimal Number 224
 
17.5%
Space Separator 199
 
15.5%
Close Punctuation 48
 
3.8%
Open Punctuation 48
 
3.8%
Other Punctuation 19
 
1.5%
Dash Punctuation 16
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
14.9%
61
 
8.4%
56
 
7.7%
53
 
7.3%
50
 
6.9%
49
 
6.7%
47
 
6.5%
47
 
6.5%
47
 
6.5%
18
 
2.5%
Other values (43) 190
26.2%
Decimal Number
ValueCountFrequency (%)
1 55
24.6%
2 34
15.2%
3 27
12.1%
9 22
 
9.8%
4 21
 
9.4%
6 18
 
8.0%
8 14
 
6.2%
7 12
 
5.4%
0 12
 
5.4%
5 9
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 15
78.9%
. 4
 
21.1%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 726
56.7%
Common 554
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
14.9%
61
 
8.4%
56
 
7.7%
53
 
7.3%
50
 
6.9%
49
 
6.7%
47
 
6.5%
47
 
6.5%
47
 
6.5%
18
 
2.5%
Other values (43) 190
26.2%
Common
ValueCountFrequency (%)
199
35.9%
1 55
 
9.9%
) 48
 
8.7%
( 48
 
8.7%
2 34
 
6.1%
3 27
 
4.9%
9 22
 
4.0%
4 21
 
3.8%
6 18
 
3.2%
- 16
 
2.9%
Other values (6) 66
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 726
56.7%
ASCII 554
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
35.9%
1 55
 
9.9%
) 48
 
8.7%
( 48
 
8.7%
2 34
 
6.1%
3 27
 
4.9%
9 22
 
4.0%
4 21
 
3.8%
6 18
 
3.2%
- 16
 
2.9%
Other values (6) 66
 
11.9%
Hangul
ValueCountFrequency (%)
108
14.9%
61
 
8.4%
56
 
7.7%
53
 
7.3%
50
 
6.9%
49
 
6.7%
47
 
6.5%
47
 
6.5%
47
 
6.5%
18
 
2.5%
Other values (43) 190
26.2%
Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T01:41:26.495775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length29.382979
Min length20

Characters and Unicode

Total characters1381
Distinct characters51
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 상동 339 번지2 호
2nd row대구광역시 수성구 만촌동 965 번지1 호
3rd row대구광역시 수성구 두산동 157 번지9 호
4th row대구광역시 수성구 황금동 868 번지7 호
5th row대구광역시 수성구 범어동 428 번지3 호14 통2 반
ValueCountFrequency (%)
대구광역시 47
 
16.0%
수성구 47
 
16.0%
23
 
7.8%
만촌동 12
 
4.1%
범어동 6
 
2.0%
상동 5
 
1.7%
번지2 5
 
1.7%
지산동 5
 
1.7%
번지3 5
 
1.7%
번지 4
 
1.4%
Other values (108) 134
45.7%
2023-12-13T01:41:26.897851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
24.5%
94
 
6.8%
71
 
5.1%
1 63
 
4.6%
58
 
4.2%
53
 
3.8%
50
 
3.6%
49
 
3.5%
47
 
3.4%
47
 
3.4%
Other values (41) 511
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
51.0%
Space Separator 338
24.5%
Decimal Number 302
21.9%
Other Punctuation 17
 
1.2%
Dash Punctuation 13
 
0.9%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
94
13.3%
71
10.1%
58
8.2%
53
 
7.5%
50
 
7.1%
49
 
7.0%
47
 
6.7%
47
 
6.7%
47
 
6.7%
47
 
6.7%
Other values (25) 142
20.1%
Decimal Number
ValueCountFrequency (%)
1 63
20.9%
3 41
13.6%
4 39
12.9%
2 28
9.3%
7 25
 
8.3%
5 23
 
7.6%
0 22
 
7.3%
6 22
 
7.3%
8 20
 
6.6%
9 19
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
. 4
 
23.5%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
51.0%
Common 676
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
94
13.3%
71
10.1%
58
8.2%
53
 
7.5%
50
 
7.1%
49
 
7.0%
47
 
6.7%
47
 
6.7%
47
 
6.7%
47
 
6.7%
Other values (25) 142
20.1%
Common
ValueCountFrequency (%)
338
50.0%
1 63
 
9.3%
3 41
 
6.1%
4 39
 
5.8%
2 28
 
4.1%
7 25
 
3.7%
5 23
 
3.4%
0 22
 
3.3%
6 22
 
3.3%
8 20
 
3.0%
Other values (6) 55
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
51.0%
ASCII 676
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
50.0%
1 63
 
9.3%
3 41
 
6.1%
4 39
 
5.8%
2 28
 
4.1%
7 25
 
3.7%
5 23
 
3.4%
0 22
 
3.3%
6 22
 
3.3%
8 20
 
3.0%
Other values (6) 55
 
8.1%
Hangul
ValueCountFrequency (%)
94
13.3%
71
10.1%
58
8.2%
53
 
7.5%
50
 
7.1%
49
 
7.0%
47
 
6.7%
47
 
6.7%
47
 
6.7%
47
 
6.7%
Other values (25) 142
20.1%
Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T01:41:27.123863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique47 ?
Unique (%)100.0%

Sample

1st row053-767-7323
2nd row053-742-5151
3rd row053-745-7662
4th row053-756-2925
5th row053-741-2017
ValueCountFrequency (%)
053-767-7323 1
 
2.1%
053-742-9666 1
 
2.1%
053-768-2654 1
 
2.1%
053-754-5915 1
 
2.1%
053-795-1034 1
 
2.1%
053-768-2600 1
 
2.1%
053-768-8383 1
 
2.1%
053-766-5151 1
 
2.1%
053-783-6886 1
 
2.1%
053-745-5189 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T01:41:27.458200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 94
16.7%
5 89
15.8%
0 86
15.2%
3 63
11.2%
7 55
9.8%
1 40
7.1%
4 34
 
6.0%
6 30
 
5.3%
8 28
 
5.0%
2 25
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 89
18.9%
0 86
18.3%
3 63
13.4%
7 55
11.7%
1 40
8.5%
4 34
 
7.2%
6 30
 
6.4%
8 28
 
6.0%
2 25
 
5.3%
9 20
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 94
16.7%
5 89
15.8%
0 86
15.2%
3 63
11.2%
7 55
9.8%
1 40
7.1%
4 34
 
6.0%
6 30
 
5.3%
8 28
 
5.0%
2 25
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 94
16.7%
5 89
15.8%
0 86
15.2%
3 63
11.2%
7 55
9.8%
1 40
7.1%
4 34
 
6.0%
6 30
 
5.3%
8 28
 
5.0%
2 25
 
4.4%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-09-12
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-12
2nd row2023-09-12
3rd row2023-09-12
4th row2023-09-12
5th row2023-09-12

Common Values

ValueCountFrequency (%)
2023-09-12 47
100.0%

Length

2023-12-13T01:41:27.614806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:41:27.692008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-12 47
100.0%

Correlations

2023-12-13T01:41:27.740117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업구분상호영업소소재지(도로명)영업소소재지(지번)영업소전화번호
사업구분1.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.000
영업소소재지(도로명)1.0001.0001.0001.0001.000
영업소소재지(지번)1.0001.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-13T01:41:24.306340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:41:24.433501image/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

사업구분상호영업소소재지(도로명)영업소소재지(지번)영업소전화번호기준일
0일반판매소SK수성대경대흥석유대구광역시 수성구 수성로12길 68-14 (상동)대구광역시 수성구 상동 339 번지2 호053-767-73232023-09-12
1일반판매소한솔석유대구광역시 수성구 국채보상로 1026 (만촌동)대구광역시 수성구 만촌동 965 번지1 호053-742-51512023-09-12
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