Overview

Dataset statistics

Number of variables5
Number of observations142
Missing cells39
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory40.9 B

Variable types

Categorical1
Text4

Dataset

Description전라남도 순천시 식품 소분업업종 현황 정보입니다. 업소명, 소재지도로명주소, 소재지지번주소, 전화번호 등의 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3072847/fileData.do

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 5 (3.5%) missing valuesMissing
소재지전화 has 34 (23.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:33:46.390754
Analysis finished2023-12-12 23:33:47.034999
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
식품소분업
142 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 142
100.0%

Length

2023-12-13T08:33:47.115806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:33:47.218568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 142
100.0%

업소명
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T08:33:47.444185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.7112676
Min length2

Characters and Unicode

Total characters953
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)96.5%

Sample

1st row(주)한국 카라겐
2nd row순천원예농협
3rd row별라 상회
4th row참마트 순천점
5th row왕성유통
ValueCountFrequency (%)
순천농협남도식품 3
 
1.8%
위즈코프(주 3
 
1.8%
한솔영농조합법인 2
 
1.2%
마트 2
 
1.2%
주식회사 2
 
1.2%
순천점 2
 
1.2%
바다창고(건 1
 
0.6%
낙안점 1
 
0.6%
마트(조례점 1
 
0.6%
빅팜식자재마트농수산 1
 
0.6%
Other values (145) 145
89.0%
2023-12-13T08:33:47.859380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 47
 
4.9%
트 40
 
4.2%
( 26
 
2.7%
) 26
 
2.7%
식 24
 
2.5%
천 23
 
2.4%
순 22
 
2.3%
22
 
2.3%
주 21
 
2.2%
농 20
 
2.1%
Other values (211) 682
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
90.8%
Open Punctuation 26
 
2.7%
Close Punctuation 26
 
2.7%
Space Separator 22
 
2.3%
Uppercase Letter 9
 
0.9%
Decimal Number 3
 
0.3%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 47
 
5.4%
트 40
 
4.6%
식 24
 
2.8%
천 23
 
2.7%
순 22
 
2.5%
주 21
 
2.4%
농 20
 
2.3%
인 16
 
1.8%
점 14
 
1.6%
품 14
 
1.6%
Other values (197) 624
72.1%
Uppercase Letter
ValueCountFrequency (%)
F 2
22.2%
K 2
22.2%
O 2
22.2%
B 1
11.1%
J 1
11.1%
M 1
11.1%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
5 1
33.3%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 865
90.8%
Common 79
 
8.3%
Latin 9
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 47
 
5.4%
트 40
 
4.6%
식 24
 
2.8%
천 23
 
2.7%
순 22
 
2.5%
주 21
 
2.4%
농 20
 
2.3%
인 16
 
1.8%
점 14
 
1.6%
품 14
 
1.6%
Other values (197) 624
72.1%
Common
ValueCountFrequency (%)
( 26
32.9%
) 26
32.9%
22
27.8%
6 1
 
1.3%
& 1
 
1.3%
- 1
 
1.3%
5 1
 
1.3%
2 1
 
1.3%
Latin
ValueCountFrequency (%)
F 2
22.2%
K 2
22.2%
O 2
22.2%
B 1
11.1%
J 1
11.1%
M 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
90.8%
ASCII 88
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 47
 
5.4%
트 40
 
4.6%
식 24
 
2.8%
천 23
 
2.7%
순 22
 
2.5%
주 21
 
2.4%
농 20
 
2.3%
인 16
 
1.8%
점 14
 
1.6%
품 14
 
1.6%
Other values (197) 624
72.1%
ASCII
ValueCountFrequency (%)
( 26
29.5%
) 26
29.5%
22
25.0%
F 2
 
2.3%
K 2
 
2.3%
O 2
 
2.3%
6 1
 
1.1%
& 1
 
1.1%
B 1
 
1.1%
- 1
 
1.1%
Other values (4) 4
 
4.5%

소재지(도로명)
Text

MISSING 

Distinct133
Distinct (%)97.1%
Missing5
Missing (%)3.5%
Memory size1.2 KiB
2023-12-13T08:33:48.185881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length28.065693
Min length18

Characters and Unicode

Total characters3845
Distinct characters164
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)94.9%

Sample

1st row전라남도 순천시 서면 산단4길 90
2nd row전라남도 순천시 연향3로 39 (연향동)
3rd row전라남도 순천시 중앙시장길 19 (남내동)
4th row전라남도 순천시 장평로 45 (인제동)
5th row전라남도 순천시 해룡면 해광로 20 ((1층))
ValueCountFrequency (%)
전라남도 137
 
16.7%
순천시 137
 
16.7%
1층 73
 
8.9%
해룡면 21
 
2.6%
조례동 12
 
1.5%
덕암동 11
 
1.3%
역전장길 9
 
1.1%
서면 7
 
0.9%
백연길 6
 
0.7%
111 6
 
0.7%
Other values (256) 400
48.8%
2023-12-13T08:33:48.697154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
682
 
17.7%
1 212
 
5.5%
전 156
 
4.1%
남 150
 
3.9%
( 146
 
3.8%
) 146
 
3.8%
도 144
 
3.7%
천 144
 
3.7%
시 144
 
3.7%
순 139
 
3.6%
Other values (154) 1782
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2191
57.0%
Space Separator 682
 
17.7%
Decimal Number 532
 
13.8%
Open Punctuation 146
 
3.8%
Close Punctuation 146
 
3.8%
Other Punctuation 127
 
3.3%
Dash Punctuation 18
 
0.5%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 156
 
7.1%
남 150
 
6.8%
도 144
 
6.6%
천 144
 
6.6%
시 144
 
6.6%
순 139
 
6.3%
라 137
 
6.3%
동 119
 
5.4%
층 112
 
5.1%
길 89
 
4.1%
Other values (135) 857
39.1%
Decimal Number
ValueCountFrequency (%)
1 212
39.8%
2 57
 
10.7%
3 54
 
10.2%
4 46
 
8.6%
0 38
 
7.1%
5 31
 
5.8%
6 27
 
5.1%
8 24
 
4.5%
7 23
 
4.3%
9 20
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 122
96.1%
. 5
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
682
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2191
57.0%
Common 1652
43.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 156
 
7.1%
남 150
 
6.8%
도 144
 
6.6%
천 144
 
6.6%
시 144
 
6.6%
순 139
 
6.3%
라 137
 
6.3%
동 119
 
5.4%
층 112
 
5.1%
길 89
 
4.1%
Other values (135) 857
39.1%
Common
ValueCountFrequency (%)
682
41.3%
1 212
 
12.8%
( 146
 
8.8%
) 146
 
8.8%
, 122
 
7.4%
2 57
 
3.5%
3 54
 
3.3%
4 46
 
2.8%
0 38
 
2.3%
5 31
 
1.9%
Other values (7) 118
 
7.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2191
57.0%
ASCII 1654
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
682
41.2%
1 212
 
12.8%
( 146
 
8.8%
) 146
 
8.8%
, 122
 
7.4%
2 57
 
3.4%
3 54
 
3.3%
4 46
 
2.8%
0 38
 
2.3%
5 31
 
1.9%
Other values (9) 120
 
7.3%
Hangul
ValueCountFrequency (%)
전 156
 
7.1%
남 150
 
6.8%
도 144
 
6.6%
천 144
 
6.6%
시 144
 
6.6%
순 139
 
6.3%
라 137
 
6.3%
동 119
 
5.4%
층 112
 
5.1%
길 89
 
4.1%
Other values (135) 857
39.1%

소재지(지번)
Text

Distinct138
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T08:33:49.055450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length25.028169
Min length17

Characters and Unicode

Total characters3554
Distinct characters135
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)95.1%

Sample

1st row전라남도 순천시 서면 선평리 253
2nd row전라남도 순천시 연향동 1336-3
3rd row전라남도 순천시 남내동 112-4
4th row전라남도 순천시 인제동 377-2
5th row전라남도 순천시 해룡면 성산리 180-25 (1층)
ValueCountFrequency (%)
전라남도 142
18.7%
순천시 142
18.7%
1층 73
 
9.6%
조례동 24
 
3.2%
해룡면 21
 
2.8%
덕암동 15
 
2.0%
연향동 8
 
1.1%
서면 7
 
0.9%
풍덕동 7
 
0.9%
상삼리 7
 
0.9%
Other values (235) 312
41.2%
2023-12-13T08:33:49.605879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
759
21.4%
1 235
 
6.6%
남 150
 
4.2%
전 149
 
4.2%
천 148
 
4.2%
시 147
 
4.1%
도 145
 
4.1%
순 143
 
4.0%
라 142
 
4.0%
동 121
 
3.4%
Other values (125) 1415
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1837
51.7%
Space Separator 759
21.4%
Decimal Number 741
20.8%
Dash Punctuation 113
 
3.2%
Open Punctuation 45
 
1.3%
Close Punctuation 45
 
1.3%
Other Punctuation 10
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 150
 
8.2%
전 149
 
8.1%
천 148
 
8.1%
시 147
 
8.0%
도 145
 
7.9%
순 143
 
7.8%
라 142
 
7.7%
동 121
 
6.6%
층 91
 
5.0%
리 39
 
2.1%
Other values (106) 562
30.6%
Decimal Number
ValueCountFrequency (%)
1 235
31.7%
2 108
14.6%
3 65
 
8.8%
5 58
 
7.8%
7 57
 
7.7%
6 53
 
7.2%
0 50
 
6.7%
9 44
 
5.9%
4 43
 
5.8%
8 28
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
, 5
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
759
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1837
51.7%
Common 1714
48.2%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 150
 
8.2%
전 149
 
8.1%
천 148
 
8.1%
시 147
 
8.0%
도 145
 
7.9%
순 143
 
7.8%
라 142
 
7.7%
동 121
 
6.6%
층 91
 
5.0%
리 39
 
2.1%
Other values (106) 562
30.6%
Common
ValueCountFrequency (%)
759
44.3%
1 235
 
13.7%
- 113
 
6.6%
2 108
 
6.3%
3 65
 
3.8%
5 58
 
3.4%
7 57
 
3.3%
6 53
 
3.1%
0 50
 
2.9%
( 45
 
2.6%
Other values (7) 171
 
10.0%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1837
51.7%
ASCII 1717
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
759
44.2%
1 235
 
13.7%
- 113
 
6.6%
2 108
 
6.3%
3 65
 
3.8%
5 58
 
3.4%
7 57
 
3.3%
6 53
 
3.1%
0 50
 
2.9%
( 45
 
2.6%
Other values (9) 174
 
10.1%
Hangul
ValueCountFrequency (%)
남 150
 
8.2%
전 149
 
8.1%
천 148
 
8.1%
시 147
 
8.0%
도 145
 
7.9%
순 143
 
7.8%
라 142
 
7.7%
동 121
 
6.6%
층 91
 
5.0%
리 39
 
2.1%
Other values (106) 562
30.6%

소재지전화
Text

MISSING 

Distinct106
Distinct (%)98.1%
Missing34
Missing (%)23.9%
Memory size1.2 KiB
2023-12-13T08:33:49.928184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.666667
Min length12

Characters and Unicode

Total characters1476
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)96.3%

Sample

1st row 061- 752-9456
2nd row 061- 753-7218
3rd row 061- 743-8285
4th row 061- 724-5489
5th row 061- 721-7999
ValueCountFrequency (%)
061 82
38.9%
725-8200 2
 
0.9%
752-3718 2
 
0.9%
726 2
 
0.9%
753 2
 
0.9%
742 2
 
0.9%
2
 
0.9%
9800 2
 
0.9%
741-8283 2
 
0.9%
0617-5250-62 1
 
0.5%
Other values (112) 112
53.1%
2023-12-13T08:33:50.342632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 216
14.6%
0 179
12.1%
178
12.1%
1 177
12.0%
7 148
10.0%
6 142
9.6%
2 96
6.5%
4 89
6.0%
5 88
6.0%
3 71
 
4.8%
Other values (2) 92
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
73.3%
Dash Punctuation 216
 
14.6%
Space Separator 178
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 179
16.5%
1 177
16.4%
7 148
13.7%
6 142
13.1%
2 96
8.9%
4 89
8.2%
5 88
8.1%
3 71
 
6.6%
8 54
 
5.0%
9 38
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Space Separator
ValueCountFrequency (%)
178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 216
14.6%
0 179
12.1%
178
12.1%
1 177
12.0%
7 148
10.0%
6 142
9.6%
2 96
6.5%
4 89
6.0%
5 88
6.0%
3 71
 
4.8%
Other values (2) 92
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 216
14.6%
0 179
12.1%
178
12.1%
1 177
12.0%
7 148
10.0%
6 142
9.6%
2 96
6.5%
4 89
6.0%
5 88
6.0%
3 71
 
4.8%
Other values (2) 92
6.2%

Missing values

2023-12-13T08:33:46.743859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:33:46.874906image/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.
2023-12-13T08:33:46.985122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업소명소재지(도로명)소재지(지번)소재지전화
0식품소분업(주)한국 카라겐전라남도 순천시 서면 산단4길 90전라남도 순천시 서면 선평리 253061- 752-9456
1식품소분업순천원예농협전라남도 순천시 연향3로 39 (연향동)전라남도 순천시 연향동 1336-3<NA>
2식품소분업별라 상회전라남도 순천시 중앙시장길 19 (남내동)전라남도 순천시 남내동 112-4061- 753-7218
3식품소분업참마트 순천점전라남도 순천시 장평로 45 (인제동)전라남도 순천시 인제동 377-2061- 743-8285
4식품소분업왕성유통전라남도 순천시 해룡면 해광로 20 ((1층))전라남도 순천시 해룡면 성산리 180-25 (1층)061- 724-5489
5식품소분업킴스체인 마트전라남도 순천시 조례못등길 14 (조례동)전라남도 순천시 조례동 1604-2061- 721-7999
6식품소분업제일식자재건어물유통전라남도 순천시 풍덕주택길 23, 1층 (조곡동)전라남도 순천시 조곡동 161-10 1층061- 745-0059
7식품소분업주식회사 경덕농수산전라남도 순천시 해룡면 해룡산단1로 82-7, 1층전라남도 순천시 해룡면 선월리 942-4061- 743-1790
8식품소분업두울마트전라남도 순천시 해룡면 기적의도서관길 90 ((지하1층)부영아파트 3차 상가)전라남도 순천시 해룡면 상삼리 657 (지하1층)부영아파트 3차 상가061- 723-2384
9식품소분업위즈코프(주) 주암(천안)휴게소전라남도 순천시 주암면 호남고속도로 24전라남도 순천시 주암면 고산리 산 57-4061- 754-2432
업종명업소명소재지(도로명)소재지(지번)소재지전화
132식품소분업농업회사법인 신성(유)전라남도 순천시 해룡면 해룡로 884, 3동 1층전라남도 순천시 해룡면 중흥리 252 3동 1층061-807-2345
133식품소분업순천고들빼기영농조합법인전라남도 순천시 별량면 개령1길 23, 1층전라남도 순천시 별량면 대룡리 550-1 1층061- 745-4242
134식품소분업한솔영농조합법인전라남도 순천시 주암면 운룡1길 120, 가동 1층전라남도 순천시 주암면 운룡리 655 외 3필지 가동, 1층061-754 -4938
135식품소분업(주)와이식자재마트조례점전라남도 순천시 이수로 254, 1층 (조례동)전라남도 순천시 조례동 1327-1061-743 -9800
136식품소분업농업회사법인(주)푸릇푸릇전라남도 순천시 가곡4길 6, 1층 (가곡동)전라남도 순천시 가곡동 971-5061- 752-9111
137식품소분업땡큐건어물전라남도 순천시 하풍새길 23, 1층 일부호 (풍덕동)전라남도 순천시 풍덕동 321-7<NA>
138식품소분업농업회사법인(주)창대에프엔비(F&B)전라남도 순천시 해룡면 해룡로 643, 1층전라남도 순천시 해룡면 선학리 377061- 723-1658
139식품소분업도담식품전라남도 순천시 연향2로 56, 상가동 지하1층 1호 (연향동, 우미아파트)전라남도 순천시 연향동 1384-2 우미아파트<NA>
140식품소분업순천광양축협하나로마트전라남도 순천시 용당삼산로 14, 1층 (용당동)전라남도 순천시 용당동 576061-722 -3700
141식품소분업양념농수산전라남도 순천시 역전장길 52, 1층 (풍덕동)전라남도 순천시 풍덕동 863-8 1층061- 743-9876