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 농산,축산 정보입니다.(경상북도 시군별 친환경농산물 학교급식지원센터의 센터명, 사무실 주소, 전화번호 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15044806/fileData.do

Alerts

시군명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:02:20.557109
Analysis finished2023-12-12 05:02:20.886621
Duration0.33 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
2023-12-12T14:02:21.008822image/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%
2023-12-12T14:02:21.334378image/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

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:02:21.560100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.5454545
Min length4

Characters and Unicode

Total characters100
Distinct characters53
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)86.4%

Sample

1st row서포항농협
2nd row경주친환경
3rd row김천농협
4th row나눔과섬김
5th row고아농협
ValueCountFrequency (%)
한솔영농 3
 
13.6%
서포항농협 1
 
4.5%
경주친환경 1
 
4.5%
지역자활센터(봉드림 1
 
4.5%
연자방아 1
 
4.5%
아임푸드 1
 
4.5%
강구농협 1
 
4.5%
영양농협 1
 
4.5%
청송친환경 1
 
4.5%
산운농업 1
 
4.5%
Other values (10) 10
45.5%
2023-12-12T14:02:21.990442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 13
 
13.0%
협 9
 
9.0%
경 5
 
5.0%
영 5
 
5.0%
아 3
 
3.0%
환 3
 
3.0%
친 3
 
3.0%
솔 3
 
3.0%
자 3
 
3.0%
주 3
 
3.0%
Other values (43) 50
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
98.0%
Open Punctuation 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 13
 
13.3%
협 9
 
9.2%
경 5
 
5.1%
영 5
 
5.1%
아 3
 
3.1%
환 3
 
3.1%
친 3
 
3.1%
솔 3
 
3.1%
자 3
 
3.1%
주 3
 
3.1%
Other values (41) 48
49.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
98.0%
Common 2
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 13
 
13.3%
협 9
 
9.2%
경 5
 
5.1%
영 5
 
5.1%
아 3
 
3.1%
환 3
 
3.1%
친 3
 
3.1%
솔 3
 
3.1%
자 3
 
3.1%
주 3
 
3.1%
Other values (41) 48
49.0%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
98.0%
ASCII 2
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 13
 
13.3%
협 9
 
9.2%
경 5
 
5.1%
영 5
 
5.1%
아 3
 
3.1%
환 3
 
3.1%
친 3
 
3.1%
솔 3
 
3.1%
자 3
 
3.1%
주 3
 
3.1%
Other values (41) 48
49.0%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

사무실 주소
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:02:22.302068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.318182
Min length14

Characters and Unicode

Total characters447
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)86.4%

Sample

1st row경상북도 포항시 북구 기계면 기계로 57-20
2nd row경상북도 경주시 충효중앙길 66(충효동)
3rd row경상북도 김천시 자산로 147(평화동)
4th row경상북도 안동시 풍산읍 지풍로 1846-8
5th row경상북도 구미시 고아읍 선산대로 979
ValueCountFrequency (%)
경상북도 20
 
19.4%
왜관읍 3
 
2.9%
매원리 3
 
2.9%
535-2 3
 
2.9%
칠곡군 3
 
2.9%
영양군 1
 
1.0%
오포리 1
 
1.0%
강구면 1
 
1.0%
영덕군 1
 
1.0%
140 1
 
1.0%
Other values (66) 66
64.1%
2023-12-12T14:02:22.818457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
18.1%
경 25
 
5.6%
북 23
 
5.1%
도 22
 
4.9%
상 21
 
4.7%
5 16
 
3.6%
군 13
 
2.9%
2 12
 
2.7%
로 11
 
2.5%
6 10
 
2.2%
Other values (79) 213
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
62.6%
Space Separator 81
 
18.1%
Decimal Number 73
 
16.3%
Dash Punctuation 9
 
2.0%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 25
 
8.9%
북 23
 
8.2%
도 22
 
7.9%
상 21
 
7.5%
군 13
 
4.6%
로 11
 
3.9%
시 10
 
3.6%
면 8
 
2.9%
읍 8
 
2.9%
산 6
 
2.1%
Other values (65) 133
47.5%
Decimal Number
ValueCountFrequency (%)
5 16
21.9%
2 12
16.4%
6 10
13.7%
4 8
11.0%
1 7
9.6%
3 6
 
8.2%
7 5
 
6.8%
9 3
 
4.1%
8 3
 
4.1%
0 3
 
4.1%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
62.6%
Common 167
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 25
 
8.9%
북 23
 
8.2%
도 22
 
7.9%
상 21
 
7.5%
군 13
 
4.6%
로 11
 
3.9%
시 10
 
3.6%
면 8
 
2.9%
읍 8
 
2.9%
산 6
 
2.1%
Other values (65) 133
47.5%
Common
ValueCountFrequency (%)
81
48.5%
5 16
 
9.6%
2 12
 
7.2%
6 10
 
6.0%
- 9
 
5.4%
4 8
 
4.8%
1 7
 
4.2%
3 6
 
3.6%
7 5
 
3.0%
9 3
 
1.8%
Other values (4) 10
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
62.6%
ASCII 167
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
48.5%
5 16
 
9.6%
2 12
 
7.2%
6 10
 
6.0%
- 9
 
5.4%
4 8
 
4.8%
1 7
 
4.2%
3 6
 
3.6%
7 5
 
3.0%
9 3
 
1.8%
Other values (4) 10
 
6.0%
Hangul
ValueCountFrequency (%)
경 25
 
8.9%
북 23
 
8.2%
도 22
 
7.9%
상 21
 
7.5%
군 13
 
4.6%
로 11
 
3.9%
시 10
 
3.6%
면 8
 
2.9%
읍 8
 
2.9%
산 6
 
2.1%
Other values (65) 133
47.5%

연락처
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:02:23.043458image/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

Unique19 ?
Unique (%)86.4%

Sample

1st row054-247-3070
2nd row054-773-2510
3rd row054-420-2291
4th row054-854-1846
5th row054-481-7410
ValueCountFrequency (%)
054-971-0500 3
 
13.6%
054-247-3070 1
 
4.5%
054-773-2510 1
 
4.5%
054-672-5987 1
 
4.5%
054-652-1120 1
 
4.5%
054-373-1153 1
 
4.5%
054-734-6567 1
 
4.5%
054-683-2281 1
 
4.5%
054-874-7117 1
 
4.5%
054-832-9361 1
 
4.5%
Other values (10) 10
45.5%
2023-12-12T14:02:23.379347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
0 43
16.3%
5 36
13.6%
4 35
13.3%
7 22
8.3%
3 20
7.6%
1 18
6.8%
2 13
 
4.9%
8 13
 
4.9%
6 12
 
4.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
19.5%
5 36
16.4%
4 35
15.9%
7 22
10.0%
3 20
9.1%
1 18
8.2%
2 13
 
5.9%
8 13
 
5.9%
6 12
 
5.5%
9 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
0 43
16.3%
5 36
13.6%
4 35
13.3%
7 22
8.3%
3 20
7.6%
1 18
6.8%
2 13
 
4.9%
8 13
 
4.9%
6 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
0 43
16.3%
5 36
13.6%
4 35
13.3%
7 22
8.3%
3 20
7.6%
1 18
6.8%
2 13
 
4.9%
8 13
 
4.9%
6 12
 
4.5%

Correlations

2023-12-12T14:02:23.482673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명센터명사무실 주소연락처
시군명1.0001.0001.0001.000
센터명1.0001.0001.0001.000
사무실 주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-12T14:02:20.759080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:02:20.856116image/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 주소연락처
0포항시서포항농협경상북도 포항시 북구 기계면 기계로 57-20054-247-3070
1경주시경주친환경경상북도 경주시 충효중앙길 66(충효동)054-773-2510
2김천시김천농협경상북도 김천시 자산로 147(평화동)054-420-2291
3안동시나눔과섬김경상북도 안동시 풍산읍 지풍로 1846-8054-854-1846
4구미시고아농협경상북도 구미시 고아읍 선산대로 979054-481-7410
5영주시영주농협경상북도 영주시 부석로 35054-639-3338
6영천시북안농협경상북도 영천시 북안면 대경로 2166-44054-336-0730
7상주시상주농협경상북도 상주시 왕산로 85054-536-4074
8문경시가은유통경상북도 문경시 공평동 675054-554-4047
9경산시자인농협경상북도 경산시 자인면 서부리 296-4053-857-2317
시군명센터명사무실 주소연락처
12청송군청송친환경경상북도 청송군 주왕산로 266054-874-7117
13영양군영양농협경상북도 영양군 영양읍 중앙로 140054-683-2281
14영덕군강구농협경상북도 영덕군 강구면 오포리 555-7054-734-6567
15청도군아임푸드경상북도 청도군 화양읍 합천길 41-40054-373-1153
16칠곡군한솔영농경상북도 칠곡군 왜관읍 매원리 535-2054-971-0500
17고령군한솔영농경상북도 칠곡군 왜관읍 매원리 535-2054-971-0500
18성주군한솔영농경상북도 칠곡군 왜관읍 매원리 535-2054-971-0500
19예천군연자방아경상북도 예천군 풍양면 삼강로 355054-652-1120
20봉화군지역자활센터(봉드림)봉화군 봉화읍 교촌길 16054-672-5987
21울진군울진유통경상북도 울진군 근남면 친환경엑스포로 25054-781-8945