Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.1 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 11:13:57.677633
Analysis finished2024-04-13 11:13:58.738314
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육일자
Date

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
Minimum2022-07-04 00:00:00
Maximum2022-09-26 00:00:00
2024-04-13T20:13:58.835436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:13:59.041736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

교육지역
Text

Distinct16
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-13T20:13:59.592916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0967742
Min length8

Characters and Unicode

Total characters251
Distinct characters39
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

Unique9 ?
Unique (%)29.0%

Sample

1st row경상남도 밀양시
2nd row전라남도 장성군
3rd row전라북도 남원시
4th row경상북도 청송군
5th row경상남도 거창군
ValueCountFrequency (%)
전라남도 10
16.1%
전라북도 8
12.9%
영광군 5
 
8.1%
남원시 4
 
6.5%
경상남도 4
 
6.5%
경상북도 3
 
4.8%
청송군 3
 
4.8%
장수군 3
 
4.8%
광주광역시 3
 
4.8%
광산구 3
 
4.8%
Other values (13) 16
25.8%
2024-04-13T20:14:00.344654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
12.4%
도 30
12.0%
군 21
 
8.4%
남 19
 
7.6%
전 18
 
7.2%
라 18
 
7.2%
광 14
 
5.6%
북 13
 
5.2%
시 10
 
4.0%
경 7
 
2.8%
Other values (29) 70
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
87.6%
Space Separator 31
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 30
13.6%
군 21
 
9.5%
남 19
 
8.6%
전 18
 
8.2%
라 18
 
8.2%
광 14
 
6.4%
북 13
 
5.9%
시 10
 
4.5%
경 7
 
3.2%
상 7
 
3.2%
Other values (28) 63
28.6%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
87.6%
Common 31
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 30
13.6%
군 21
 
9.5%
남 19
 
8.6%
전 18
 
8.2%
라 18
 
8.2%
광 14
 
6.4%
북 13
 
5.9%
시 10
 
4.5%
경 7
 
3.2%
상 7
 
3.2%
Other values (28) 63
28.6%
Common
ValueCountFrequency (%)
31
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
87.6%
ASCII 31
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
100.0%
Hangul
ValueCountFrequency (%)
도 30
13.6%
군 21
 
9.5%
남 19
 
8.6%
전 18
 
8.2%
라 18
 
8.2%
광 14
 
6.4%
북 13
 
5.9%
시 10
 
4.5%
경 7
 
3.2%
상 7
 
3.2%
Other values (28) 63
28.6%

교육기관
Text

Distinct19
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-13T20:14:00.965875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length16.354839
Min length9

Characters and Unicode

Total characters507
Distinct characters59
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

Unique13 ?
Unique (%)41.9%

Sample

1st row국립농산물품질관리원 밀양사무소
2nd row장성군농업기술센터
3rd row국립농산물품질관리원전북지원 남원사무소
4th row국립농산물품질관리원 청송영양사무소
5th row국립농산물품질관리원 거창사무소
ValueCountFrequency (%)
국립농산물품질관리원 16
26.2%
전남지원 6
 
9.8%
영광사무소 5
 
8.2%
국립농산물품질관리원전북지원 4
 
6.6%
청송영양사무소 3
 
4.9%
광주광역시농업기술센터 3
 
4.9%
남원사무소 3
 
4.9%
장수사무소 3
 
4.9%
완도군농업기술센터 2
 
3.3%
전북지원 2
 
3.3%
Other values (13) 14
23.0%
2024-04-13T20:14:02.052739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 39
 
7.7%
농 31
 
6.1%
30
 
5.9%
사 23
 
4.5%
산 23
 
4.5%
물 22
 
4.3%
품 22
 
4.3%
질 22
 
4.3%
관 22
 
4.3%
리 22
 
4.3%
Other values (49) 251
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
94.1%
Space Separator 30
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 39
 
8.2%
농 31
 
6.5%
사 23
 
4.8%
산 23
 
4.8%
물 22
 
4.6%
품 22
 
4.6%
질 22
 
4.6%
관 22
 
4.6%
리 22
 
4.6%
소 22
 
4.6%
Other values (48) 229
48.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
94.1%
Common 30
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 39
 
8.2%
농 31
 
6.5%
사 23
 
4.8%
산 23
 
4.8%
물 22
 
4.6%
품 22
 
4.6%
질 22
 
4.6%
관 22
 
4.6%
리 22
 
4.6%
소 22
 
4.6%
Other values (48) 229
48.0%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
94.1%
ASCII 30
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 39
 
8.2%
농 31
 
6.5%
사 23
 
4.8%
산 23
 
4.8%
물 22
 
4.6%
품 22
 
4.6%
질 22
 
4.6%
관 22
 
4.6%
리 22
 
4.6%
소 22
 
4.6%
Other values (48) 229
48.0%
ASCII
ValueCountFrequency (%)
30
100.0%

교육장소
Text

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-04-13T20:14:02.841011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length15.774194
Min length4

Characters and Unicode

Total characters489
Distinct characters117
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)71.0%

Sample

1st row얼음골 산내농협(남명지점)
2nd row장성군농업기술센터 농업인회관
3rd row국립농산물품질관리원전북지원 남원사무소
4th row솔스윗GAP작목반 교육장
5th row국립농산물품질관리원 거창사무소 2층 교육장
ValueCountFrequency (%)
2층 9
 
11.2%
농업기계교육관 4
 
5.0%
강의실 4
 
5.0%
회의실 4
 
5.0%
교육장 4
 
5.0%
국립농산물품질관리원전북지원 4
 
5.0%
남원사무소 3
 
3.8%
장수사무소 3
 
3.8%
사전참가신청 3
 
3.8%
문의(전화로 3
 
3.8%
Other values (37) 39
48.8%
2024-04-13T20:14:04.060172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
10.0%
농 25
 
5.1%
원 15
 
3.1%
사 14
 
2.9%
관 13
 
2.7%
의 13
 
2.7%
산 12
 
2.5%
업 12
 
2.5%
교 11
 
2.2%
육 11
 
2.2%
Other values (107) 314
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
85.7%
Space Separator 49
 
10.0%
Decimal Number 10
 
2.0%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 25
 
6.0%
원 15
 
3.6%
사 14
 
3.3%
관 13
 
3.1%
의 13
 
3.1%
산 12
 
2.9%
업 12
 
2.9%
교 11
 
2.6%
육 11
 
2.6%
실 11
 
2.6%
Other values (99) 282
67.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
G 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 9
90.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
85.7%
Common 67
 
13.7%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 25
 
6.0%
원 15
 
3.6%
사 14
 
3.3%
관 13
 
3.1%
의 13
 
3.1%
산 12
 
2.9%
업 12
 
2.9%
교 11
 
2.6%
육 11
 
2.6%
실 11
 
2.6%
Other values (99) 282
67.3%
Common
ValueCountFrequency (%)
49
73.1%
2 9
 
13.4%
( 4
 
6.0%
) 4
 
6.0%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
85.7%
ASCII 70
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
70.0%
2 9
 
12.9%
( 4
 
5.7%
) 4
 
5.7%
P 1
 
1.4%
A 1
 
1.4%
G 1
 
1.4%
3 1
 
1.4%
Hangul
ValueCountFrequency (%)
농 25
 
6.0%
원 15
 
3.6%
사 14
 
3.3%
관 13
 
3.1%
의 13
 
3.1%
산 12
 
2.9%
업 12
 
2.9%
교 11
 
2.6%
육 11
 
2.6%
실 11
 
2.6%
Other values (99) 282
67.3%

교육인원
Real number (ℝ)

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.096774
Minimum1
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-04-13T20:14:04.442656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19.5
median45
Q359
95-th percentile139.5
Maximum224
Range223
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation50.724981
Coefficient of variation (CV)1.0546441
Kurtosis4.7437466
Mean48.096774
Median Absolute Deviation (MAD)35
Skewness1.946257
Sum1491
Variance2573.0237
MonotonicityNot monotonic
2024-04-13T20:14:04.662039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
50 7
22.6%
1 5
16.1%
10 2
 
6.5%
81 1
 
3.2%
8 1
 
3.2%
32 1
 
3.2%
4 1
 
3.2%
40 1
 
3.2%
180 1
 
3.2%
45 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
1 5
16.1%
4 1
 
3.2%
8 1
 
3.2%
9 1
 
3.2%
10 2
 
6.5%
14 1
 
3.2%
22 1
 
3.2%
32 1
 
3.2%
40 1
 
3.2%
44 1
 
3.2%
ValueCountFrequency (%)
224 1
 
3.2%
180 1
 
3.2%
99 1
 
3.2%
87 1
 
3.2%
81 1
 
3.2%
80 1
 
3.2%
79 1
 
3.2%
68 1
 
3.2%
50 7
22.6%
45 1
 
3.2%

Interactions

2024-04-13T20:13:58.101833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:14:04.872689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육일자교육지역교육기관교육장소교육인원
교육일자1.0000.8710.7450.8930.752
교육지역0.8711.0001.0001.0000.444
교육기관0.7451.0001.0001.0000.000
교육장소0.8931.0001.0001.0000.853
교육인원0.7520.4440.0000.8531.000

Missing values

2024-04-13T20:13:58.410787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:13:58.674700image/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
02022-07-04경상남도 밀양시국립농산물품질관리원 밀양사무소얼음골 산내농협(남명지점)81
12022-07-06전라남도 장성군장성군농업기술센터장성군농업기술센터 농업인회관50
22022-07-07전라북도 남원시국립농산물품질관리원전북지원 남원사무소국립농산물품질관리원전북지원 남원사무소1
32022-07-07경상북도 청송군국립농산물품질관리원 청송영양사무소솔스윗GAP작목반 교육장9
42022-07-08경상남도 거창군국립농산물품질관리원 거창사무소국립농산물품질관리원 거창사무소 2층 교육장22
52022-07-11전라남도 영광군국립농산물품질관리원 전남지원 영광사무소농업기계교육관 2층 강의실87
62022-07-12전라남도 영광군국립농산물품질관리원 전남지원 영광사무소농업기계교육관 2층 강의실80
72022-07-13경상북도 청송군국립농산물품질관리원 청송영양사무소청송군 농업기술센터 2층 대회의실224
82022-07-21전라남도 완도군완도군농업기술센터완도하나로마트68
92022-07-22전라북도 장수군국립농산물품질관리원전북지원 장수사무소국립농산물품질관리원전북지원 장수사무소10
교육일자교육지역교육기관교육장소교육인원
212022-08-29충청남도 부여군농산물품질관리원 부여사무소농산물품질관리원 부여사무소1
222022-08-31충청북도 옥천군국립농산물품질관리원 옥천사무소옥천사무소1
232022-09-02전라남도 함평군함평군농업기술센터함평군농업기술센터 플라워푸드장 교육50
242022-09-05전라남도 영광군국립농산물품질관리원 전남지원 영광사무소영광농협산지유통센터10
252022-09-07전라북도 장수군국립농산물품질관리원 전북지원 장수사무소장수사무소 교육장4
262022-09-15충청북도 보은군국립농산물품질관리원 보은사무소보은군농업기술센터 상록수교육관50
272022-09-19전라북도 장수군국립농산물품질관리원 전북지원 장수사무소장수사무소 2층 교육장1
282022-09-23전라북도 김제시국립농산물품질관리원 김제사무소김제시농업인교육문화센터 2층 대강의실50
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