Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory989.0 B
Average record size in memory47.1 B

Variable types

DateTime1
Text3
Numeric1

Dataset

Description국립농산물품질관리원에서 실시하는 GAP 인증담당자 및 시설담당자 교육일정(교육일자, 교육지역, 교육기관,교육 장소, 교육인원)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220614000000002104

Reproduction

Analysis started2024-04-13 11:13:48.228523
Analysis finished2024-04-13 11:13:49.319065
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육일자
Date

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2022-03-03 00:00:00
Maximum2022-06-27 00:00:00
2024-04-13T20:13:49.501683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:13:49.861366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

교육지역
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-13T20:13:50.487920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.1428571
Min length7

Characters and Unicode

Total characters171
Distinct characters38
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)38.1%

Sample

1st row광주광역시 광산구
2nd row광주광역시 광산구
3rd row충청북도 충주시
4th row전라북도 고창군
5th row전라남도 완도군
ValueCountFrequency (%)
충청북도 6
14.3%
경상남도 4
 
9.5%
옥천군 4
 
9.5%
전라북도 3
 
7.1%
고창군 3
 
7.1%
광주광역시 2
 
4.8%
광산구 2
 
4.8%
충주시 2
 
4.8%
밀양시 2
 
4.8%
전라남도 2
 
4.8%
Other values (11) 12
28.6%
2024-04-13T20:13:51.248274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
12.3%
도 19
 
11.1%
군 13
 
7.6%
북 10
 
5.8%
시 9
 
5.3%
충 8
 
4.7%
창 7
 
4.1%
남 6
 
3.5%
청 6
 
3.5%
광 6
 
3.5%
Other values (28) 66
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
87.7%
Space Separator 21
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 19
 
12.7%
군 13
 
8.7%
북 10
 
6.7%
시 9
 
6.0%
충 8
 
5.3%
창 7
 
4.7%
남 6
 
4.0%
청 6
 
4.0%
광 6
 
4.0%
경 5
 
3.3%
Other values (27) 61
40.7%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
87.7%
Common 21
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 19
 
12.7%
군 13
 
8.7%
북 10
 
6.7%
시 9
 
6.0%
충 8
 
5.3%
창 7
 
4.7%
남 6
 
4.0%
청 6
 
4.0%
광 6
 
4.0%
경 5
 
3.3%
Other values (27) 61
40.7%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
87.7%
ASCII 21
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
100.0%
Hangul
ValueCountFrequency (%)
도 19
 
12.7%
군 13
 
8.7%
북 10
 
6.7%
시 9
 
6.0%
충 8
 
5.3%
창 7
 
4.7%
남 6
 
4.0%
청 6
 
4.0%
광 6
 
4.0%
경 5
 
3.3%
Other values (27) 61
40.7%

교육기관
Text

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-13T20:13:51.812603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length15.142857
Min length4

Characters and Unicode

Total characters318
Distinct characters58
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

Unique11 ?
Unique (%)52.4%

Sample

1st row광주광역시농업기술센터
2nd row광주광역시농업기술센터
3rd row국립농산물품질관리원 충북지원 충주사무소
4th row고창군 농업기술센터
5th row국립농산물품질관리원 전남지원 완도사무소
ValueCountFrequency (%)
국립농산물품질관리원 14
33.3%
옥천사무소 4
 
9.5%
광주광역시농업기술센터 2
 
4.8%
고창군 2
 
4.8%
농업기술센터 2
 
4.8%
밀양사무소 2
 
4.8%
전남지원 2
 
4.8%
군위군농업기술센터 1
 
2.4%
강원지원 1
 
2.4%
보안점검 1
 
2.4%
Other values (11) 11
26.2%
2024-04-13T20:13:53.011896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
6.6%
원 20
 
6.3%
농 19
 
6.0%
품 15
 
4.7%
질 15
 
4.7%
관 15
 
4.7%
리 15
 
4.7%
국 14
 
4.4%
산 14
 
4.4%
물 14
 
4.4%
Other values (48) 156
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
92.8%
Space Separator 21
 
6.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 20
 
6.8%
농 19
 
6.4%
품 15
 
5.1%
질 15
 
5.1%
관 15
 
5.1%
리 15
 
5.1%
국 14
 
4.7%
산 14
 
4.7%
물 14
 
4.7%
립 14
 
4.7%
Other values (45) 140
47.5%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
92.8%
Common 23
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 20
 
6.8%
농 19
 
6.4%
품 15
 
5.1%
질 15
 
5.1%
관 15
 
5.1%
리 15
 
5.1%
국 14
 
4.7%
산 14
 
4.7%
물 14
 
4.7%
립 14
 
4.7%
Other values (45) 140
47.5%
Common
ValueCountFrequency (%)
21
91.3%
) 1
 
4.3%
( 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
92.8%
ASCII 23
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
91.3%
) 1
 
4.3%
( 1
 
4.3%
Hangul
ValueCountFrequency (%)
원 20
 
6.8%
농 19
 
6.4%
품 15
 
5.1%
질 15
 
5.1%
관 15
 
5.1%
리 15
 
5.1%
국 14
 
4.7%
산 14
 
4.7%
물 14
 
4.7%
립 14
 
4.7%
Other values (45) 140
47.5%

교육장소
Text

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-13T20:13:53.848089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length12.428571
Min length4

Characters and Unicode

Total characters261
Distinct characters94
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

Unique13 ?
Unique (%)61.9%

Sample

1st row담당자 문의(전화로 사전참가신청)
2nd row담당자 문의(전화로 사전참가신청)
3rd row충주시 대소원면 수주길 1
4th row고창군 농업기술센터 3층 교육장
5th row노화읍 농업인상담소 회의실
ValueCountFrequency (%)
옥천사무소 4
 
8.2%
교육장 4
 
8.2%
회의실 3
 
6.1%
3층 2
 
4.1%
담당자 2
 
4.1%
2층 2
 
4.1%
국립농산물품질관리원 2
 
4.1%
농업기술센터 2
 
4.1%
고창군 2
 
4.1%
사전참가신청 2
 
4.1%
Other values (23) 24
49.0%
2024-04-13T20:13:55.768000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
10.7%
소 10
 
3.8%
사 9
 
3.4%
농 9
 
3.4%
무 7
 
2.7%
장 7
 
2.7%
육 6
 
2.3%
창 6
 
2.3%
교 6
 
2.3%
의 5
 
1.9%
Other values (84) 168
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
84.3%
Space Separator 28
 
10.7%
Decimal Number 7
 
2.7%
Close Punctuation 3
 
1.1%
Open Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 10
 
4.5%
사 9
 
4.1%
농 9
 
4.1%
무 7
 
3.2%
장 7
 
3.2%
육 6
 
2.7%
창 6
 
2.7%
교 6
 
2.7%
의 5
 
2.3%
센 5
 
2.3%
Other values (78) 150
68.2%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
3 2
28.6%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
84.3%
Common 41
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 10
 
4.5%
사 9
 
4.1%
농 9
 
4.1%
무 7
 
3.2%
장 7
 
3.2%
육 6
 
2.7%
창 6
 
2.7%
교 6
 
2.7%
의 5
 
2.3%
센 5
 
2.3%
Other values (78) 150
68.2%
Common
ValueCountFrequency (%)
28
68.3%
) 3
 
7.3%
1 3
 
7.3%
( 3
 
7.3%
2 2
 
4.9%
3 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
84.3%
ASCII 41
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
68.3%
) 3
 
7.3%
1 3
 
7.3%
( 3
 
7.3%
2 2
 
4.9%
3 2
 
4.9%
Hangul
ValueCountFrequency (%)
소 10
 
4.5%
사 9
 
4.1%
농 9
 
4.1%
무 7
 
3.2%
장 7
 
3.2%
육 6
 
2.7%
창 6
 
2.7%
교 6
 
2.7%
의 5
 
2.3%
센 5
 
2.3%
Other values (78) 150
68.2%

교육인원
Real number (ℝ)

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.428571
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-13T20:13:56.210410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median18
Q340
95-th percentile53
Maximum95
Range94
Interquartile range (IQR)38

Descriptive statistics

Standard deviation25.718809
Coefficient of variation (CV)1.0528167
Kurtosis1.0175741
Mean24.428571
Median Absolute Deviation (MAD)17
Skewness1.0742356
Sum513
Variance661.45714
MonotonicityNot monotonic
2024-04-13T20:13:56.624994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 5
23.8%
50 3
14.3%
40 3
14.3%
2 3
14.3%
20 1
 
4.8%
25 1
 
4.8%
15 1
 
4.8%
6 1
 
4.8%
53 1
 
4.8%
95 1
 
4.8%
ValueCountFrequency (%)
1 5
23.8%
2 3
14.3%
6 1
 
4.8%
15 1
 
4.8%
18 1
 
4.8%
20 1
 
4.8%
25 1
 
4.8%
40 3
14.3%
50 3
14.3%
53 1
 
4.8%
ValueCountFrequency (%)
95 1
 
4.8%
53 1
 
4.8%
50 3
14.3%
40 3
14.3%
25 1
 
4.8%
20 1
 
4.8%
18 1
 
4.8%
15 1
 
4.8%
6 1
 
4.8%
2 3
14.3%

Interactions

2024-04-13T20:13:48.582060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:13:56.865241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육일자교육지역교육기관교육장소교육인원
교육일자1.0000.4710.6700.5690.668
교육지역0.4711.0001.0001.0000.916
교육기관0.6701.0001.0001.0000.983
교육장소0.5691.0001.0001.0000.968
교육인원0.6680.9160.9830.9681.000

Missing values

2024-04-13T20:13:48.882888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:13:49.199110image/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

교육일자교육지역교육기관교육장소교육인원
02022-06-27광주광역시 광산구광주광역시농업기술센터담당자 문의(전화로 사전참가신청)50
12022-04-27광주광역시 광산구광주광역시농업기술센터담당자 문의(전화로 사전참가신청)50
22022-03-23충청북도 충주시국립농산물품질관리원 충북지원 충주사무소충주시 대소원면 수주길 120
32022-03-23전라북도 고창군고창군 농업기술센터고창군 농업기술센터 3층 교육장40
42022-03-23전라남도 완도군국립농산물품질관리원 전남지원 완도사무소노화읍 농업인상담소 회의실25
52022-03-22충청북도 충주시이시도르지속가능연구소(주)이시도르연구소 교육장(1층)15
62022-03-21경상남도 창원시 의창구국립농산물품질관리원 경남지원 품질관리과북창원농협 본점 회의실6
72022-03-18전라남도 함평군국립농산물품질관리원 전남지원 함평사무소함평군농업기술센터 플라워푸드교육장53
82022-03-17경상북도 군위군군위군농업기술센터군위군농업기술센터95
92022-03-17경상남도 밀양시국립농산물품질관리원 밀양사무소국립농산물품질관리원 밀양사무소1
교육일자교육지역교육기관교육장소교육인원
112022-03-16전라북도 고창군고창군 농업기술센터고창군 농업기술센터 3층 교육장50
122022-03-16경상남도 밀양시국립농산물품질관리원 밀양사무소현장방문1
132022-03-16경상남도 거창군국립농산물품질관리원 거창사무소국립농산물품질관리원 거창사무소 2층 교육장18
142022-03-15강원도 강릉시국립농산물품질관리원 강릉사무소강릉시 어단1리 마을회관 교육장40
152022-03-11전라북도 고창군국립농산물품질관리원 고창사무소고창황토배기농산물유통센터40
162022-03-10세종특별자치시보안점검보안점검1
172022-03-10강원도 평창군국립농산물품질관리원 강원지원 평창사무소평창사무소 2층 회의실1
182022-03-10충청북도 옥천군국립농산물품질관리원 옥천사무소옥천사무소2
192022-03-07충청북도 옥천군국립농산물품질관리원 옥천사무소옥천사무소1
202022-03-03충청북도 옥천군국립농산물품질관리원 옥천사무소옥천사무소2