Overview

Dataset statistics

Number of variables4
Number of observations278
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory32.5 B

Variable types

Categorical1
Text3

Dataset

Description전라남도 여수시 축산업 현황에 대한 데이터로 축산물의 판매업소 식육포장처리업, 식육판매업등의 영업소 현황을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15102232/fileData.do

Alerts

업종 is highly imbalanced (63.5%)Imbalance

Reproduction

Analysis started2023-12-12 12:43:09.769334
Analysis finished2023-12-12 12:43:10.212165
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
식육판매업
248 
식육포장처리업
 
23
축산물유통전문판매업
 
7

Length

Max length10
Median length5
Mean length5.2913669
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 248
89.2%
식육포장처리업 23
 
8.3%
축산물유통전문판매업 7
 
2.5%

Length

2023-12-12T21:43:10.280669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:43:10.371323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 248
89.2%
식육포장처리업 23
 
8.3%
축산물유통전문판매업 7
 
2.5%

사업장명칭
Text

Distinct266
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T21:43:10.554734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.1978417
Min length2

Characters and Unicode

Total characters2001
Distinct characters256
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)91.7%

Sample

1st row주식회사 토성종합식품
2nd row(주)유진
3rd row(주)진남축산유통
4th row여수축산업협동조합
5th row농업회사법인 청풍축산(주)
ValueCountFrequency (%)
정육점 55
 
13.2%
주식회사 10
 
2.4%
정육 10
 
2.4%
농업회사법인 5
 
1.2%
일레븐마트 4
 
1.0%
정육식당 4
 
1.0%
주)유진 3
 
0.7%
정육코너 3
 
0.7%
푸줏간 3
 
0.7%
축산 3
 
0.7%
Other values (295) 317
76.0%
2023-12-12T21:43:10.929892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
6.9%
정 121
 
6.0%
육 120
 
6.0%
점 118
 
5.9%
산 62
 
3.1%
마 61
 
3.0%
트 55
 
2.7%
축 54
 
2.7%
한 42
 
2.1%
우 40
 
2.0%
Other values (246) 1189
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1792
89.6%
Space Separator 139
 
6.9%
Open Punctuation 29
 
1.4%
Close Punctuation 29
 
1.4%
Uppercase Letter 7
 
0.3%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 121
 
6.8%
육 120
 
6.7%
점 118
 
6.6%
산 62
 
3.5%
마 61
 
3.4%
트 55
 
3.1%
축 54
 
3.0%
한 42
 
2.3%
우 40
 
2.2%
여 38
 
2.1%
Other values (233) 1081
60.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
L 1
14.3%
F 1
14.3%
S 1
14.3%
O 1
14.3%
Space Separator
ValueCountFrequency (%)
139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1791
89.5%
Common 201
 
10.0%
Latin 8
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 121
 
6.8%
육 120
 
6.7%
점 118
 
6.6%
산 62
 
3.5%
마 61
 
3.4%
트 55
 
3.1%
축 54
 
3.0%
한 42
 
2.3%
우 40
 
2.2%
여 38
 
2.1%
Other values (232) 1080
60.3%
Latin
ValueCountFrequency (%)
B 2
25.0%
A 1
12.5%
L 1
12.5%
F 1
12.5%
S 1
12.5%
O 1
12.5%
k 1
12.5%
Common
ValueCountFrequency (%)
139
69.2%
( 29
 
14.4%
) 29
 
14.4%
2 2
 
1.0%
· 1
 
0.5%
- 1
 
0.5%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1790
89.5%
ASCII 208
 
10.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
66.8%
( 29
 
13.9%
) 29
 
13.9%
B 2
 
1.0%
2 2
 
1.0%
- 1
 
0.5%
A 1
 
0.5%
L 1
 
0.5%
F 1
 
0.5%
S 1
 
0.5%
Other values (2) 2
 
1.0%
Hangul
ValueCountFrequency (%)
정 121
 
6.8%
육 120
 
6.7%
점 118
 
6.6%
산 62
 
3.5%
마 61
 
3.4%
트 55
 
3.1%
축 54
 
3.0%
한 42
 
2.3%
우 40
 
2.2%
여 38
 
2.1%
Other values (231) 1079
60.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
大 1
100.0%

사업장소재지(도로명)
Text

Distinct256
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T21:43:11.281260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length25.226619
Min length17

Characters and Unicode

Total characters7013
Distinct characters185
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)86.0%

Sample

1st row전라남도 여수시 소라면 장개재길 56
2nd row전라남도 여수시 망양로 514-16 (오천동)
3rd row전라남도 여수시 무선4길 11 (선원동)
4th row전라남도 여수시 소호로 638, 1층 (학동, 여수축협)
5th row전라남도 여수시 소라면 마륜길 8
ValueCountFrequency (%)
전라남도 278
 
18.3%
여수시 278
 
18.3%
학동 28
 
1.8%
소라면 26
 
1.7%
화장동 20
 
1.3%
교동 20
 
1.3%
상가동 18
 
1.2%
서교동 16
 
1.1%
선원동 14
 
0.9%
문수동 13
 
0.9%
Other values (420) 811
53.3%
2023-12-12T21:43:11.765681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1244
17.7%
여 326
 
4.6%
수 324
 
4.6%
라 304
 
4.3%
남 303
 
4.3%
동 303
 
4.3%
시 301
 
4.3%
1 284
 
4.0%
도 284
 
4.0%
전 280
 
4.0%
Other values (175) 3060
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4160
59.3%
Space Separator 1244
 
17.7%
Decimal Number 958
 
13.7%
Close Punctuation 232
 
3.3%
Open Punctuation 232
 
3.3%
Other Punctuation 100
 
1.4%
Dash Punctuation 79
 
1.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 326
 
7.8%
수 324
 
7.8%
라 304
 
7.3%
남 303
 
7.3%
동 303
 
7.3%
시 301
 
7.2%
도 284
 
6.8%
전 280
 
6.7%
길 145
 
3.5%
로 131
 
3.1%
Other values (154) 1459
35.1%
Decimal Number
ValueCountFrequency (%)
1 284
29.6%
2 113
 
11.8%
3 103
 
10.8%
5 85
 
8.9%
6 83
 
8.7%
4 82
 
8.6%
0 64
 
6.7%
7 55
 
5.7%
8 49
 
5.1%
9 40
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 99
99.0%
. 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
1244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%
Open Punctuation
ValueCountFrequency (%)
( 232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4162
59.3%
Common 2847
40.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 326
 
7.8%
수 324
 
7.8%
라 304
 
7.3%
남 303
 
7.3%
동 303
 
7.3%
시 301
 
7.2%
도 284
 
6.8%
전 280
 
6.7%
길 145
 
3.5%
로 131
 
3.1%
Other values (155) 1461
35.1%
Common
ValueCountFrequency (%)
1244
43.7%
1 284
 
10.0%
) 232
 
8.1%
( 232
 
8.1%
2 113
 
4.0%
3 103
 
3.6%
, 99
 
3.5%
5 85
 
3.0%
6 83
 
2.9%
4 82
 
2.9%
Other values (7) 290
 
10.2%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4160
59.3%
ASCII 2851
40.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1244
43.6%
1 284
 
10.0%
) 232
 
8.1%
( 232
 
8.1%
2 113
 
4.0%
3 103
 
3.6%
, 99
 
3.5%
5 85
 
3.0%
6 83
 
2.9%
4 82
 
2.9%
Other values (10) 294
 
10.3%
Hangul
ValueCountFrequency (%)
여 326
 
7.8%
수 324
 
7.8%
라 304
 
7.3%
남 303
 
7.3%
동 303
 
7.3%
시 301
 
7.2%
도 284
 
6.8%
전 280
 
6.7%
길 145
 
3.5%
로 131
 
3.1%
Other values (154) 1459
35.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지전화
Text

Distinct135
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T21:43:12.003533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.057554
Min length4

Characters and Unicode

Total characters2240
Distinct characters16
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

Unique128 ?
Unique (%)46.0%

Sample

1st row061-685-7522~3
2nd row061-651-9211
3rd row061-684-1943
4th row061-686-3960
5th row061-651-7185
ValueCountFrequency (%)
개인정보 137
49.3%
061-651-9211 3
 
1.1%
061-651-7185 2
 
0.7%
061-655-1118 2
 
0.7%
061-692-5911 2
 
0.7%
061-921-6945 2
 
0.7%
061-691-3554 2
 
0.7%
061-920-5999 1
 
0.4%
061-681-1399 1
 
0.4%
061-684-3711 1
 
0.4%
Other values (125) 125
45.0%
2023-12-12T21:43:12.738240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 357
15.9%
- 280
12.5%
1 259
11.6%
0 200
8.9%
개 137
 
6.1%
인 137
 
6.1%
정 137
 
6.1%
보 137
 
6.1%
5 110
 
4.9%
8 109
 
4.9%
Other values (6) 377
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1411
63.0%
Other Letter 548
 
24.5%
Dash Punctuation 280
 
12.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 357
25.3%
1 259
18.4%
0 200
14.2%
5 110
 
7.8%
8 109
 
7.7%
3 88
 
6.2%
2 86
 
6.1%
9 82
 
5.8%
4 75
 
5.3%
7 45
 
3.2%
Other Letter
ValueCountFrequency (%)
개 137
25.0%
인 137
25.0%
정 137
25.0%
보 137
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1692
75.5%
Hangul 548
 
24.5%

Most frequent character per script

Common
ValueCountFrequency (%)
6 357
21.1%
- 280
16.5%
1 259
15.3%
0 200
11.8%
5 110
 
6.5%
8 109
 
6.4%
3 88
 
5.2%
2 86
 
5.1%
9 82
 
4.8%
4 75
 
4.4%
Other values (2) 46
 
2.7%
Hangul
ValueCountFrequency (%)
개 137
25.0%
인 137
25.0%
정 137
25.0%
보 137
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1692
75.5%
Hangul 548
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 357
21.1%
- 280
16.5%
1 259
15.3%
0 200
11.8%
5 110
 
6.5%
8 109
 
6.4%
3 88
 
5.2%
2 86
 
5.1%
9 82
 
4.8%
4 75
 
4.4%
Other values (2) 46
 
2.7%
Hangul
ValueCountFrequency (%)
개 137
25.0%
인 137
25.0%
정 137
25.0%
보 137
25.0%

Missing values

2023-12-12T21:43:10.072438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:43:10.177018image/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

업종사업장명칭사업장소재지(도로명)소재지전화
0식육포장처리업주식회사 토성종합식품전라남도 여수시 소라면 장개재길 56061-685-7522~3
1식육포장처리업(주)유진전라남도 여수시 망양로 514-16 (오천동)061-651-9211
2식육포장처리업(주)진남축산유통전라남도 여수시 무선4길 11 (선원동)061-684-1943
3식육포장처리업여수축산업협동조합전라남도 여수시 소호로 638, 1층 (학동, 여수축협)061-686-3960
4식육포장처리업농업회사법인 청풍축산(주)전라남도 여수시 소라면 마륜길 8061-651-7185
5식육포장처리업주원식품전라남도 여수시 둔덕2길 41 (둔덕동, 주원식품)061-654-8989
6식육포장처리업(유)다온전라남도 여수시 만성로 365 (만흥동)061-655-1118
7식육포장처리업하은FㆍS전라남도 여수시 소라면 죽림2길 38-8개인정보
8식육포장처리업천하축산전라남도 여수시 소라면 조산로 257개인정보
9식육포장처리업혜성축산전라남도 여수시 성산2길 4 (화장동)061-691-7999
업종사업장명칭사업장소재지(도로명)소재지전화
268식육판매업혜성축산 식육판매업전라남도 여수시 성산2길 4(화장동)개인정보
269식육판매업천하축산전라남도 여수시 소라면 조산로 257061-691-0944
270식육판매업찐 푸줏간전라남도 여수시 둔덕1길 5(둔덕동)개인정보
271식육판매업여수축산백화점전라남도 여수시 장성3길 2, 장성마을회관 (안산동)개인정보
272식육판매업꿀꿀이삼남매정육점전라남도 여수시 덕양로 157, 102호 (화장동, 주공3단지아파트)개인정보
273식육판매업여천농협하나로마트선원지점전라남도 여수시 무선5길 26, 여천농협 선원지점 (선원동)개인정보
274식육판매업진모정육가든전라남도 여수시 돌산읍 진모1길 29-9개인정보
275식육판매업LA갈비할인점전라남도 여수시 무선로 179-1(선원동)개인정보
276식육판매업포레스트마트전라남도 여수시 여서로 55, 상가동 1층 101,102호 (웅천동, 웅천 포레스트 부영 2단지)개인정보
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