Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.0 B
Average record size in memory38.0 B

Variable types

Text4

Dataset

Description경상북도의 농업,축산 정보입니다.(경상북도 시군별 친환경축산물 학교급식지원센터의 센터명, 사무실 주소, 전화번호 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15044805/fileData.do

Alerts

시군명 has unique valuesUnique
사무실 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:17:29.757623
Analysis finished2023-12-12 21:17:30.115724
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T06:17:30.260050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row포항시
2nd row경주시
3rd row김천시
4th row안동시
5th row구미시
ValueCountFrequency (%)
포항시 1
 
4.5%
경주시 1
 
4.5%
봉화군 1
 
4.5%
예천군 1
 
4.5%
성주군 1
 
4.5%
고령군 1
 
4.5%
칠곡군 1
 
4.5%
청도군 1
 
4.5%
영덕군 1
 
4.5%
영양군 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T06:17:30.597309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 13
19.7%
시 10
15.2%
주 4
 
6.1%
영 4
 
6.1%
경 3
 
4.5%
천 3
 
4.5%
청 2
 
3.0%
성 2
 
3.0%
곡 1
 
1.5%
덕 1
 
1.5%
Other values (23) 23
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 13
19.7%
시 10
15.2%
주 4
 
6.1%
영 4
 
6.1%
경 3
 
4.5%
천 3
 
4.5%
청 2
 
3.0%
성 2
 
3.0%
곡 1
 
1.5%
덕 1
 
1.5%
Other values (23) 23
34.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 13
19.7%
시 10
15.2%
주 4
 
6.1%
영 4
 
6.1%
경 3
 
4.5%
천 3
 
4.5%
청 2
 
3.0%
성 2
 
3.0%
곡 1
 
1.5%
덕 1
 
1.5%
Other values (23) 23
34.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 13
19.7%
시 10
15.2%
주 4
 
6.1%
영 4
 
6.1%
경 3
 
4.5%
천 3
 
4.5%
청 2
 
3.0%
성 2
 
3.0%
곡 1
 
1.5%
덕 1
 
1.5%
Other values (23) 23
34.8%

센터명
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T06:17:30.784374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.6818182
Min length3

Characters and Unicode

Total characters103
Distinct characters47
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row포항축협
2nd row경주축협
3rd row김천축협
4th row안동봉화축협
5th row구미칠곡축협
ValueCountFrequency (%)
안동봉화축협 2
 
9.1%
포항축협 1
 
4.5%
의성축협 1
 
4.5%
예천축협 1
 
4.5%
㈜식원 1
 
4.5%
고령성주축협 1
 
4.5%
칠곡양돈영농법인 1
 
4.5%
청도축협 1
 
4.5%
강구농협 1
 
4.5%
영양농협 1
 
4.5%
Other values (11) 11
50.0%
2023-12-13T06:17:31.106987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
협 18
 
17.5%
축 16
 
15.5%
주 4
 
3.9%
경 4
 
3.9%
영 4
 
3.9%
농 3
 
2.9%
천 3
 
2.9%
곡 2
 
1.9%
성 2
 
1.9%
양 2
 
1.9%
Other values (37) 45
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
99.0%
Other Symbol 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 18
17.6%
축 16
 
15.7%
주 4
 
3.9%
경 4
 
3.9%
영 4
 
3.9%
농 3
 
2.9%
천 3
 
2.9%
곡 2
 
2.0%
성 2
 
2.0%
양 2
 
2.0%
Other values (36) 44
43.1%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 18
 
17.5%
축 16
 
15.5%
주 4
 
3.9%
경 4
 
3.9%
영 4
 
3.9%
농 3
 
2.9%
천 3
 
2.9%
곡 2
 
1.9%
성 2
 
1.9%
양 2
 
1.9%
Other values (37) 45
43.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
99.0%
None 1
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
협 18
17.6%
축 16
 
15.7%
주 4
 
3.9%
경 4
 
3.9%
영 4
 
3.9%
농 3
 
2.9%
천 3
 
2.9%
곡 2
 
2.0%
성 2
 
2.0%
양 2
 
2.0%
Other values (36) 44
43.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사무실 주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T06:17:31.382976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21.5
Mean length19.136364
Min length16

Characters and Unicode

Total characters421
Distinct characters82
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 북구 청하면 고현리 250-1
2nd row경상북도 경주시 황성동 769-1
3rd row경상북도 김천시 자산로 192
4th row경상북도 안동시 경동로 220
5th row경상북도 구미시 선기로 119
ValueCountFrequency (%)
경상북도 22
 
22.0%
서부리 2
 
2.0%
220 2
 
2.0%
경동로 2
 
2.0%
강구면 1
 
1.0%
고수서4길 1
 
1.0%
청도읍 1
 
1.0%
청도군 1
 
1.0%
555-7 1
 
1.0%
오포리 1
 
1.0%
Other values (66) 66
66.0%
2023-12-13T06:17:31.751921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
18.5%
경 29
 
6.9%
북 24
 
5.7%
도 24
 
5.7%
상 23
 
5.5%
군 15
 
3.6%
1 14
 
3.3%
2 12
 
2.9%
로 12
 
2.9%
시 10
 
2.4%
Other values (72) 180
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
61.8%
Space Separator 78
 
18.5%
Decimal Number 73
 
17.3%
Dash Punctuation 10
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 29
 
11.2%
북 24
 
9.2%
도 24
 
9.2%
상 23
 
8.8%
군 15
 
5.8%
로 12
 
4.6%
시 10
 
3.8%
읍 7
 
2.7%
영 6
 
2.3%
성 5
 
1.9%
Other values (60) 105
40.4%
Decimal Number
ValueCountFrequency (%)
1 14
19.2%
2 12
16.4%
6 9
12.3%
7 7
9.6%
5 7
9.6%
0 7
9.6%
9 6
8.2%
4 4
 
5.5%
3 4
 
5.5%
8 3
 
4.1%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
61.8%
Common 161
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 29
 
11.2%
북 24
 
9.2%
도 24
 
9.2%
상 23
 
8.8%
군 15
 
5.8%
로 12
 
4.6%
시 10
 
3.8%
읍 7
 
2.7%
영 6
 
2.3%
성 5
 
1.9%
Other values (60) 105
40.4%
Common
ValueCountFrequency (%)
78
48.4%
1 14
 
8.7%
2 12
 
7.5%
- 10
 
6.2%
6 9
 
5.6%
7 7
 
4.3%
5 7
 
4.3%
0 7
 
4.3%
9 6
 
3.7%
4 4
 
2.5%
Other values (2) 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
61.8%
ASCII 161
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
48.4%
1 14
 
8.7%
2 12
 
7.5%
- 10
 
6.2%
6 9
 
5.6%
7 7
 
4.3%
5 7
 
4.3%
0 7
 
4.3%
9 6
 
3.7%
4 4
 
2.5%
Other values (2) 7
 
4.3%
Hangul
ValueCountFrequency (%)
경 29
 
11.2%
북 24
 
9.2%
도 24
 
9.2%
상 23
 
8.8%
군 15
 
5.8%
로 12
 
4.6%
시 10
 
3.8%
읍 7
 
2.7%
영 6
 
2.3%
성 5
 
1.9%
Other values (60) 105
40.4%

사 무 실
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T06:17:31.961630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique20 ?
Unique (%)90.9%

Sample

1st row054-232-2931
2nd row054-742-1081
3rd row054-433-2123
4th row054-840-7739
5th row054-456-1260
ValueCountFrequency (%)
054-840-7739 2
 
9.1%
054-232-2931 1
 
4.5%
054-834-5611 1
 
4.5%
054-652-2712 1
 
4.5%
054-933-1884 1
 
4.5%
054-954-1778 1
 
4.5%
054-974-7227 1
 
4.5%
054-373-5005 1
 
4.5%
054-734-6567 1
 
4.5%
054-683-2281 1
 
4.5%
Other values (11) 11
50.0%
2023-12-13T06:17:32.317783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
4 36
13.6%
0 34
12.9%
5 33
12.5%
3 26
9.8%
1 22
8.3%
8 18
6.8%
7 18
6.8%
2 15
 
5.7%
9 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 36
16.4%
0 34
15.5%
5 33
15.0%
3 26
11.8%
1 22
10.0%
8 18
8.2%
7 18
8.2%
2 15
6.8%
9 9
 
4.1%
6 9
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
4 36
13.6%
0 34
12.9%
5 33
12.5%
3 26
9.8%
1 22
8.3%
8 18
6.8%
7 18
6.8%
2 15
 
5.7%
9 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
4 36
13.6%
0 34
12.9%
5 33
12.5%
3 26
9.8%
1 22
8.3%
8 18
6.8%
7 18
6.8%
2 15
 
5.7%
9 9
 
3.4%

Correlations

2023-12-13T06:17:32.436565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명센터명사무실 주소사 무 실
시군명1.0001.0001.0001.000
센터명1.0001.0001.0001.000
사무실 주소1.0001.0001.0001.000
사 무 실1.0001.0001.0001.000

Missing values

2023-12-13T06:17:29.986781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:17:30.083295image/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

시군명센터명사무실 주소사 무 실
0포항시포항축협경상북도 포항시 북구 청하면 고현리 250-1054-232-2931
1경주시경주축협경상북도 경주시 황성동 769-1054-742-1081
2김천시김천축협경상북도 김천시 자산로 192054-433-2123
3안동시안동봉화축협경상북도 안동시 경동로 220054-840-7739
4구미시구미칠곡축협경상북도 구미시 선기로 119054-456-1260
5영주시영주축협경상북도 영주시 풍기읍 안풍로 308-7054-631-8400
6영천시영천축협경상북도 영천시 금호읍 대경로 1244054-336-1801
7상주시상주축협경상북도 상주시 영남제일로 1119-9054-531-9915
8문경시문경축협경상북도 문경시 당교로 253054-553-8308
9경산시경산축협경상북도 경산시 중방동 864-10053-802-0131
시군명센터명사무실 주소사 무 실
12청송군청송친환경경상북도 청송군 주왕산로 266054-874-7117
13영양군영양농협경상북도 영양군 영양읍 서부리 326-1054-683-2281
14영덕군강구농협경상북도 영덕군 강구면 오포리 555-7054-734-6567
15청도군청도축협경상북도 청도군 청도읍 고수서4길 1054-373-5005
16칠곡군칠곡양돈영농법인경상북도 칠곡군 약목면 관호8길 7-9054-974-7227
17고령군고령성주축협경상북도 고령군 성암로 566054-954-1778
18성주군㈜식원경상북도 성주군 경산리 3-17054-933-1884
19예천군예천축협경상북도 예천군 예천읍 충효로 257054-652-2712
20봉화군안동봉화축협경상북도 봉화군 경동로 220054-840-7739
21울진군세광한우전문점경상북도 울진군 죽변면 죽변북로 160054-781-9448