Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.3 B

Variable types

Categorical2
Text5

Dataset

Description전라북도 무주군의 농공단지에 입주해 있는 업체 현황으로 농공단지명, 업체명, 소재지도로명주소, 전화번호, 업종명, 생산품, 데이터기준일자 등의 항목으로 구성
URLhttps://www.data.go.kr/data/15096546/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:42:09.721264
Analysis finished2023-12-12 22:42:10.242948
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농공단지명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
안성농공단지
10 
무주제2농공단지
무주농공단지

Length

Max length8
Median length6
Mean length6.8571429
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무주농공단지
2nd row무주농공단지
3rd row무주제2농공단지
4th row무주제2농공단지
5th row무주제2농공단지

Common Values

ValueCountFrequency (%)
안성농공단지 10
47.6%
무주제2농공단지 9
42.9%
무주농공단지 2
 
9.5%

Length

2023-12-13T07:42:10.317348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:10.430662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안성농공단지 10
47.6%
무주제2농공단지 9
42.9%
무주농공단지 2
 
9.5%

업체명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:42:10.620330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.1428571
Min length4

Characters and Unicode

Total characters150
Distinct characters79
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row풀무원다논㈜
2nd row장원주식회사
3rd rowSM소망산업
4th row㈜상일테크
5th row㈜상일테크(제2공장)
ValueCountFrequency (%)
농업회사법인 2
 
8.3%
풀무원다논㈜ 1
 
4.2%
유)반딧불휴먼텍 1
 
4.2%
유)현대산업 1
 
4.2%
㈜바로초록 1
 
4.2%
㈜삼우통상 1
 
4.2%
지구산업 1
 
4.2%
반디제재소 1
 
4.2%
㈜우성기공 1
 
4.2%
㈜대한거울 1
 
4.2%
Other values (13) 13
54.2%
2023-12-13T07:42:10.980616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.7%
5
 
3.3%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
Other values (69) 103
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
85.3%
Other Symbol 10
 
6.7%
Open Punctuation 3
 
2.0%
Close Punctuation 3
 
2.0%
Space Separator 3
 
2.0%
Uppercase Letter 2
 
1.3%
Decimal Number 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
Other values (62) 88
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Other Symbol
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
92.0%
Common 10
 
6.7%
Latin 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
7.2%
5
 
3.6%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
Other values (63) 91
65.9%
Common
ValueCountFrequency (%)
( 3
30.0%
) 3
30.0%
3
30.0%
2 1
 
10.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
85.3%
ASCII 12
 
8.0%
None 10
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
10
100.0%
Hangul
ValueCountFrequency (%)
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
Other values (62) 88
68.8%
ASCII
ValueCountFrequency (%)
( 3
25.0%
) 3
25.0%
3
25.0%
S 1
 
8.3%
M 1
 
8.3%
2 1
 
8.3%
Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:42:11.186588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.619048
Min length19

Characters and Unicode

Total characters454
Distinct characters29
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

Unique16 ?
Unique (%)76.2%

Sample

1st row전라북도 무주군 무주읍 당산강변로 32
2nd row전라북도 무주군 무주읍 당산강변로 32
3rd row전라북도 무주군 무주읍 당산강변로 64-7
4th row전라북도 무주군 무주읍 당산강변로 64-21
5th row전라북도 무주군 무주읍 당산강변로 64-6
ValueCountFrequency (%)
전라북도 21
20.0%
무주군 21
20.0%
무주읍 11
10.5%
당산강변로 11
10.5%
안성면 10
9.5%
공단로 10
9.5%
64-27 3
 
2.9%
32 2
 
1.9%
64-21 1
 
1.0%
25 1
 
1.0%
Other values (14) 14
13.3%
2023-12-13T07:42:11.547543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
19.2%
32
 
7.0%
32
 
7.0%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
2 12
 
2.6%
Other values (19) 165
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
65.0%
Space Separator 87
 
19.2%
Decimal Number 60
 
13.2%
Dash Punctuation 12
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
10.8%
32
 
10.8%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
11
 
3.7%
11
 
3.7%
Other values (8) 83
28.1%
Decimal Number
ValueCountFrequency (%)
2 12
20.0%
6 12
20.0%
4 11
18.3%
1 9
15.0%
3 6
10.0%
7 5
8.3%
9 3
 
5.0%
5 1
 
1.7%
0 1
 
1.7%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
65.0%
Common 159
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
10.8%
32
 
10.8%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
11
 
3.7%
11
 
3.7%
Other values (8) 83
28.1%
Common
ValueCountFrequency (%)
87
54.7%
2 12
 
7.5%
- 12
 
7.5%
6 12
 
7.5%
4 11
 
6.9%
1 9
 
5.7%
3 6
 
3.8%
7 5
 
3.1%
9 3
 
1.9%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
65.0%
ASCII 159
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
54.7%
2 12
 
7.5%
- 12
 
7.5%
6 12
 
7.5%
4 11
 
6.9%
1 9
 
5.7%
3 6
 
3.8%
7 5
 
3.1%
9 3
 
1.9%
5 1
 
0.6%
Hangul
ValueCountFrequency (%)
32
 
10.8%
32
 
10.8%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
21
 
7.1%
11
 
3.7%
11
 
3.7%
Other values (8) 83
28.1%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:42:11.753854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047619
Min length12

Characters and Unicode

Total characters253
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

Unique19 ?
Unique (%)90.5%

Sample

1st row063-320-1111
2nd row063-322-6450
3rd row063-322-4711
4th row063-322-6015
5th row063-322-6015
ValueCountFrequency (%)
063-322-6015 2
 
9.5%
063-320-1111 1
 
4.8%
063-323-3331 1
 
4.8%
063-324-9399 1
 
4.8%
063-323-2388 1
 
4.8%
070-8818-4500 1
 
4.8%
063-323-3010 1
 
4.8%
063-323-1010 1
 
4.8%
063-323-3233 1
 
4.8%
063-323-3838 1
 
4.8%
Other values (10) 10
47.6%
2023-12-13T07:42:12.119469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 54
21.3%
- 42
16.6%
0 37
14.6%
2 34
13.4%
6 26
10.3%
1 20
 
7.9%
8 12
 
4.7%
4 10
 
4.0%
5 9
 
3.6%
9 7
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 211
83.4%
Dash Punctuation 42
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 54
25.6%
0 37
17.5%
2 34
16.1%
6 26
12.3%
1 20
 
9.5%
8 12
 
5.7%
4 10
 
4.7%
5 9
 
4.3%
9 7
 
3.3%
7 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 54
21.3%
- 42
16.6%
0 37
14.6%
2 34
13.4%
6 26
10.3%
1 20
 
7.9%
8 12
 
4.7%
4 10
 
4.0%
5 9
 
3.6%
9 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 54
21.3%
- 42
16.6%
0 37
14.6%
2 34
13.4%
6 26
10.3%
1 20
 
7.9%
8 12
 
4.7%
4 10
 
4.0%
5 9
 
3.6%
9 7
 
2.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:42:12.329469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.380952
Min length11

Characters and Unicode

Total characters428
Distinct characters81
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

Unique17 ?
Unique (%)81.0%

Sample

1st row액상시유및기타낙농제품
2nd row포장용플라스틱성형용기제조업(22232)
3rd row금속문창셔터및관련제품 제조업(25111) 외 1종
4th row육상금속골조구조재제조업(25113) 외 1종
5th row육상금속골조구조재제조업(25113) 외 1종
ValueCountFrequency (%)
12
26.1%
1종 7
15.2%
육상금속골조구조재제조업(25113 3
 
6.5%
기타광실채소가공및저장처리업(10309 2
 
4.3%
김치류제조업(10301 2
 
4.3%
3종 2
 
4.3%
2종 2
 
4.3%
건강기능식품제조업(10797 1
 
2.2%
금속문창셔터및관련제품제조업(25111 1
 
2.2%
기타건축용나무제품제조업(16229 1
 
2.2%
Other values (13) 13
28.3%
2023-12-13T07:42:12.664212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/