Overview

Dataset statistics

Number of variables5
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory41.0 B

Variable types

Categorical1
Text4

Dataset

Description부안군 관내 제조업공장현황입니다. 제조업공장현황과 관련하여 데이터 항목으로 회사명, 전화번호, 공장대표주소, 생산품 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15034970/fileData.do

Reproduction

Analysis started2023-12-12 00:48:15.604066
Analysis finished2023-12-12 00:48:16.392521
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

Distinct12
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부안읍
24 
동진면
16 
진서면
12 
보안면
11 
변산면
11 
Other values (7)
53 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부안읍 24
18.9%
동진면 16
12.6%
진서면 12
9.4%
보안면 11
8.7%
변산면 11
8.7%
백산면 11
8.7%
주산면 10
7.9%
상서면 10
7.9%
행안면 9
 
7.1%
계화면 6
 
4.7%
Other values (2) 7
 
5.5%

Length

2023-12-12T09:48:16.479988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부안읍 24
18.9%
동진면 16
12.6%
진서면 12
9.4%
보안면 11
8.7%
변산면 11
8.7%
백산면 11
8.7%
주산면 10
7.9%
상서면 10
7.9%
행안면 9
 
7.1%
계화면 6
 
4.7%
Other values (2) 7
 
5.5%

회사명
Text

Distinct125
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:48:16.777008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.1417323
Min length3

Characters and Unicode

Total characters1034
Distinct characters195
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)96.9%

Sample

1st row(유)삼원콘크리트
2nd row(주)새만금산업
3rd rowRBNF(알비내츄럴식품)
4th row가가공업사
5th row나무풍경
ValueCountFrequency (%)
농업회사법인 8
 
5.4%
유한회사 4
 
2.7%
영농조합법인 3
 
2.0%
주식회사 2
 
1.4%
남부안농업협동조합 2
 
1.4%
부안수산업협동조합 2
 
1.4%
들국화영농조합법인 1
 
0.7%
백합수산영어조합법인 1
 
0.7%
미림식품 1
 
0.7%
농업회사법인(유)슬지네찐빵 1
 
0.7%
Other values (123) 123
83.1%
2023-12-12T09:48:17.282614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 40
 
3.9%
) 40
 
3.9%
업 38
 
3.7%
산 35
 
3.4%
농 34
 
3.3%
유 33
 
3.2%
인 32
 
3.1%
미 32
 
3.1%
법 30
 
2.9%
합 29
 
2.8%
Other values (185) 691
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 926
89.6%
Open Punctuation 40
 
3.9%
Close Punctuation 40
 
3.9%
Space Separator 21
 
2.0%
Uppercase Letter 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 38
 
4.1%
산 35
 
3.8%
농 34
 
3.7%
유 33
 
3.6%
인 32
 
3.5%
미 32
 
3.5%
법 30
 
3.2%
합 29
 
3.1%
소 27
 
2.9%
조 25
 
2.7%
Other values (176) 611
66.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
28.6%
F 1
14.3%
N 1
14.3%
C 1
14.3%
P 1
14.3%
B 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 926
89.6%
Common 101
 
9.8%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 38
 
4.1%
산 35
 
3.8%
농 34
 
3.7%
유 33
 
3.6%
인 32
 
3.5%
미 32
 
3.5%
법 30
 
3.2%
합 29
 
3.1%
소 27
 
2.9%
조 25
 
2.7%
Other values (176) 611
66.0%
Latin
ValueCountFrequency (%)
R 2
28.6%
F 1
14.3%
N 1
14.3%
C 1
14.3%
P 1
14.3%
B 1
14.3%
Common
ValueCountFrequency (%)
( 40
39.6%
) 40
39.6%
21
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 926
89.6%
ASCII 108
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 40
37.0%
) 40
37.0%
21
19.4%
R 2
 
1.9%
F 1
 
0.9%
N 1
 
0.9%
C 1
 
0.9%
P 1
 
0.9%
B 1
 
0.9%
Hangul
ValueCountFrequency (%)
업 38
 
4.1%
산 35
 
3.8%
농 34
 
3.7%
유 33
 
3.6%
인 32
 
3.5%
미 32
 
3.5%
법 30
 
3.2%
합 29
 
3.1%
소 27
 
2.9%
조 25
 
2.7%
Other values (176) 611
66.0%

공장대표주소
Text

Distinct121
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:48:17.746148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length21.267717
Min length18

Characters and Unicode

Total characters2701
Distinct characters115
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

Unique116 ?
Unique (%)91.3%

Sample

1st row전라북도 부안군 부안읍 선돌로 174
2nd row전라북도 부안군 부안읍 선돌로 227
3rd row전라북도 부안군 부안읍 신흥길 35
4th row전라북도 부안군 부안읍 문정로 117,
5th row전라북도 부안군 부안읍 옹중서원길 8-20
ValueCountFrequency (%)
전라북도 127
20.0%
부안군 127
20.0%
부안읍 24
 
3.8%
동진면 16
 
2.5%
진서면 12
 
1.9%
변산면 11
 
1.7%
보안면 11
 
1.7%
백산면 11
 
1.7%
주산면 10
 
1.6%
상서면 10
 
1.6%
Other values (195) 276
43.5%
2023-12-12T09:48:18.319185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
508
18.8%
안 179
 
6.6%
부 160
 
5.9%
북 130
 
4.8%
도 130
 
4.8%
군 128
 
4.7%
전 127
 
4.7%
라 127
 
4.7%
면 103
 
3.8%
1 79
 
2.9%
Other values (105) 1030
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1746
64.6%
Space Separator 508
 
18.8%
Decimal Number 399
 
14.8%
Dash Punctuation 46
 
1.7%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 179
 
10.3%
부 160
 
9.2%
북 130
 
7.4%
도 130
 
7.4%
군 128
 
7.3%
전 127
 
7.3%
라 127
 
7.3%
면 103
 
5.9%
로 68
 
3.9%
산 44
 
2.5%
Other values (92) 550
31.5%
Decimal Number
ValueCountFrequency (%)
1 79
19.8%
2 53
13.3%
3 46
11.5%
4 39
9.8%
8 36
9.0%
6 33
8.3%
0 33
8.3%
9 28
 
7.0%
7 27
 
6.8%
5 25
 
6.3%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1746
64.6%
Common 955
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 179
 
10.3%
부 160
 
9.2%
북 130
 
7.4%
도 130
 
7.4%
군 128
 
7.3%
전 127
 
7.3%
라 127
 
7.3%
면 103
 
5.9%
로 68
 
3.9%
산 44
 
2.5%
Other values (92) 550
31.5%
Common
ValueCountFrequency (%)
508
53.2%
1 79
 
8.3%
2 53
 
5.5%
- 46
 
4.8%
3 46
 
4.8%
4 39
 
4.1%
8 36
 
3.8%
6 33
 
3.5%
0 33
 
3.5%
9 28
 
2.9%
Other values (3) 54
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1746
64.6%
ASCII 955
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
508
53.2%
1 79
 
8.3%
2 53
 
5.5%
- 46
 
4.8%
3 46
 
4.8%
4 39
 
4.1%
8 36
 
3.8%
6 33
 
3.5%
0 33
 
3.5%
9 28
 
2.9%
Other values (3) 54
 
5.7%
Hangul
ValueCountFrequency (%)
안 179
 
10.3%
부 160
 
9.2%
북 130
 
7.4%
도 130
 
7.4%
군 128
 
7.3%
전 127
 
7.3%
라 127
 
7.3%
면 103
 
5.9%
로 68
 
3.9%
산 44
 
2.5%
Other values (92) 550
31.5%

전화번호
Text

Distinct122
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:48:18.670516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1524
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

Unique117 ?
Unique (%)92.1%

Sample

1st row063-583-3175
2nd row063-583-3838
3rd row063-584-7942
4th row063-584-6602
5th row063-581-1872
ValueCountFrequency (%)
063-581-5511 2
 
1.6%
063-584-9960 2
 
1.6%
063-583-7748 2
 
1.6%
063-581-2544 2
 
1.6%
063-581-3012 2
 
1.6%
063-583-2359 1
 
0.8%
063-581-5656 1
 
0.8%
063-583-0059 1
 
0.8%
063-582-7118 1
 
0.8%
063-582-7034 1
 
0.8%
Other values (112) 112
88.2%
2023-12-12T09:48:19.184876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 254
16.7%
0 210
13.8%
3 197
12.9%
5 182
11.9%
8 170
11.2%
6 169
11.1%
1 97
 
6.4%
4 85
 
5.6%
2 74
 
4.9%
7 48
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1270
83.3%
Dash Punctuation 254
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 210
16.5%
3 197
15.5%
5 182
14.3%
8 170
13.4%
6 169
13.3%
1 97
7.6%
4 85
6.7%
2 74
 
5.8%
7 48
 
3.8%
9 38
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 254
16.7%
0 210
13.8%
3 197
12.9%
5 182
11.9%
8 170
11.2%
6 169
11.1%
1 97
 
6.4%
4 85
 
5.6%
2 74
 
4.9%
7 48
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 254
16.7%
0 210
13.8%
3 197
12.9%
5 182
11.9%
8 170
11.2%
6 169
11.1%
1 97
 
6.4%
4 85
 
5.6%
2 74
 
4.9%
7 48
 
3.1%

생산품
Text

Distinct87
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:48:19.522269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length5.2677165
Min length1

Characters and Unicode

Total characters669
Distinct characters216
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

Unique78 ?
Unique (%)61.4%

Sample

1st row수로관+호안블록
2nd row도축+육가공
3rd row오디잼+캔디+전병+가공초콜릿
4th row토목+유사용기계장
5th row나무가구
ValueCountFrequency (%)
쌀 24
 
17.1%
레미콘 6
 
4.3%
젓갈류 5
 
3.6%
아스콘 4
 
2.9%
마른김 2
 
1.4%
각종인쇄물 2
 
1.4%
탁주 2
 
1.4%
김 2
 
1.4%
적벽돌 2
 
1.4%
만두 1
 
0.7%
Other values (90) 90
64.3%
2023-12-12T09:48:20.041014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 47
 
7.0%
쌀 31
 
4.6%
미 15
 
2.2%
콘 13
 
1.9%
13
 
1.9%
료 12
 
1.8%
장 11
 
1.6%
사 10
 
1.5%
류 10
 
1.5%
수 9
 
1.3%
Other values (206) 498
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
86.5%
Math Symbol 47
 
7.0%
Uppercase Letter 14
 
2.1%
Space Separator 13
 
1.9%
Other Punctuation 6
 
0.9%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
쌀 31
 
5.4%
미 15
 
2.6%
콘 13
 
2.2%
료 12
 
2.1%
장 11
 
1.9%
사 10
 
1.7%
류 10
 
1.7%
수 9
 
1.6%
관 9
 
1.6%
조 9
 
1.6%
Other values (191) 450
77.7%
Uppercase Letter
ValueCountFrequency (%)
P 4
28.6%
C 3
21.4%
V 2
14.3%
A 1
 
7.1%
B 1
 
7.1%
S 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
· 3
50.0%
Math Symbol
ValueCountFrequency (%)
+ 47
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
86.5%
Common 74
 
11.1%
Latin 16
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
쌀 31
 
5.4%
미 15
 
2.6%
콘 13
 
2.2%
료 12
 
2.1%
장 11
 
1.9%
사 10
 
1.7%
류 10
 
1.7%
수 9
 
1.6%
관 9
 
1.6%
조 9
 
1.6%
Other values (191) 450
77.7%
Latin
ValueCountFrequency (%)
P 4
25.0%
C 3
18.8%
p 2
12.5%
V 2
12.5%
A 1
 
6.2%
B 1
 
6.2%
S 1
 
6.2%
E 1
 
6.2%
T 1
 
6.2%
Common
ValueCountFrequency (%)
+ 47
63.5%
13
 
17.6%
( 4
 
5.4%
) 4
 
5.4%
. 3
 
4.1%
· 3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
86.5%
ASCII 87
 
13.0%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 47
54.0%
13
 
14.9%
( 4
 
4.6%
) 4
 
4.6%
P 4
 
4.6%
. 3
 
3.4%
C 3
 
3.4%
p 2
 
2.3%
V 2
 
2.3%
A 1
 
1.1%
Other values (4) 4
 
4.6%
Hangul
ValueCountFrequency (%)
쌀 31
 
5.4%
미 15
 
2.6%
콘 13
 
2.2%
료 12
 
2.1%
장 11
 
1.9%
사 10
 
1.7%
류 10
 
1.7%
수 9
 
1.6%
관 9
 
1.6%
조 9
 
1.6%
Other values (191) 450
77.7%
None
ValueCountFrequency (%)
· 3
100.0%

Correlations

2023-12-12T09:48:20.145746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면생산품
읍면1.0000.756
생산품0.7561.000

Missing values

2023-12-12T09:48:16.218616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:48:16.341187image/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

읍면회사명공장대표주소전화번호생산품
0부안읍(유)삼원콘크리트전라북도 부안군 부안읍 선돌로 174063-583-3175수로관+호안블록
1부안읍(주)새만금산업전라북도 부안군 부안읍 선돌로 227063-583-3838도축+육가공
2부안읍RBNF(알비내츄럴식품)전라북도 부안군 부안읍 신흥길 35063-584-7942오디잼+캔디+전병+가공초콜릿
3부안읍가가공업사전라북도 부안군 부안읍 문정로 117,063-584-6602토목+유사용기계장
4부안읍나무풍경전라북도 부안군 부안읍 옹중서원길 8-20063-581-1872나무가구
5부안읍농업회사법인 (유)뽕의도리전라북도 부안군 부안읍 연곡로 23063-584-0133뽕잎수제소세지+ 편육
6부안읍농업회사법인 부안강산명주 주식회사전라북도 부안군 부안읍 석정로 83063-584-9960오디주
7부안읍동양목재창호전라북도 부안군 부안읍 봉덕리 530번지063-581-6707목재문
8부안읍명문인쇄소전라북도 부안군 부안읍 군청길 6063-584-4265각종인쇄물
9부안읍벗님넷전라북도 부안군 부안읍 선은1길 4-2070-470-0377나무안내판
읍면회사명공장대표주소전화번호생산품
117상서면부안군 농업기술센터전라북도 부안군 상서면 통정리 380-5번지063-582-9701동물용 사료 및 보조식품 제조업
118상서면신영정미소전라북도 부안군 상서면 통정리 286-3번지063-582-4055쌀
119상서면유한회사 창명레미콘전라북도 부안군 상서면 고인돌로 211063-581-2544레미콘
120하서면등룡RPC영농조합법인전라북도 부안군 하서면 석불로 4063-583-9606쌀
121하서면산내들에스엠(주)전라북도 부안군 하서면 변산로 1080-12063-581-1135막걸리약주+과실주
122하서면섶못정미소전라북도 부안군 하서면 하서길 33-4063-582-4050보리
123하서면초록 아리울 영농조합법인전라북도 부안군 하서면 등용길 39063-581-6448참기름+들기름
124하서면한신수산전라북도 부안군 하서면 장신1길 89063-584-8423김
125줄포면남부안농업협동조합전라북도 부안군 줄포면 장산로 139-9063-581-3012유기질비료
126줄포면협동정미소전라북도 부안군 줄포면 율지길 23063-582-0690쌀