Overview

Dataset statistics

Number of variables4
Number of observations396
Missing cells190
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory34.3 B

Variable types

Numeric2
Text2

Dataset

Description농식품공무원교육원 직무교육과정 운영 내실화를 위해 전국 주요 농식품산업현장을 방문하여 교육생의 학습효과 증대에 기여하고 있는 주요 현장학습 교육지 공개
Author농식품공무원교육원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220215000000001935

Alerts

전화번호 has 190 (48.0%) missing valuesMissing
교육지명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:26:04.976240
Analysis finished2023-12-11 03:26:05.987249
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도별
Real number (ℝ)

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.2702
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T12:26:06.056992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12017
median2019
Q32021
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0807061
Coefficient of variation (CV)0.0010304248
Kurtosis-0.97727284
Mean2019.2702
Median Absolute Deviation (MAD)2
Skewness0.52453794
Sum799631
Variance4.3293377
MonotonicityDecreasing
2023-12-11T12:26:06.175884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2017 122
30.8%
2019 91
23.0%
2023 50
12.6%
2020 43
 
10.9%
2018 34
 
8.6%
2022 30
 
7.6%
2021 26
 
6.6%
ValueCountFrequency (%)
2017 122
30.8%
2018 34
 
8.6%
2019 91
23.0%
2020 43
 
10.9%
2021 26
 
6.6%
2022 30
 
7.6%
2023 50
12.6%
ValueCountFrequency (%)
2023 50
12.6%
2022 30
 
7.6%
2021 26
 
6.6%
2020 43
 
10.9%
2019 91
23.0%
2018 34
 
8.6%
2017 122
30.8%

교육지명
Text

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T12:26:06.407052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length8.6363636
Min length2

Characters and Unicode

Total characters3420
Distinct characters448
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)100.0%

Sample

1st row칠성에너지 영농조합법인
2nd row동일피에스영농조합법인
3rd row전북농업기술원 약용자원연구소 약초시험장
4th row정읍 도정공장
5th row임실생약영농조합법인
ValueCountFrequency (%)
농림축산검역본부 5
 
0.8%
농가 4
 
0.6%
담양 4
 
0.6%
곡성 4
 
0.6%
농촌진흥청 4
 
0.6%
영농조합법인 4
 
0.6%
농업기술센터 3
 
0.5%
순천만 3
 
0.5%
나주 3
 
0.5%
순천 3
 
0.5%
Other values (547) 583
94.0%
2023-12-11T12:26:06.859974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
6.6%
농 119
 
3.5%
원 88
 
2.6%
산 75
 
2.2%
장 68
 
2.0%
주 50
 
1.5%
마 48
 
1.4%
지 48
 
1.4%
업 42
 
1.2%
( 40
 
1.2%
Other values (438) 2616
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3050
89.2%
Space Separator 226
 
6.6%
Open Punctuation 40
 
1.2%
Close Punctuation 40
 
1.2%
Uppercase Letter 29
 
0.8%
Decimal Number 19
 
0.6%
Other Punctuation 9
 
0.3%
Dash Punctuation 3
 
0.1%
Other Symbol 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 119
 
3.9%
원 88
 
2.9%
산 75
 
2.5%
장 68
 
2.2%
주 50
 
1.6%
마 48
 
1.6%
지 48
 
1.6%
업 42
 
1.4%
인 38
 
1.2%
영 36
 
1.2%
Other values (407) 2438
79.9%
Uppercase Letter
ValueCountFrequency (%)
C 6
20.7%
P 4
13.8%
R 3
10.3%
E 3
10.3%
S 2
 
6.9%
T 2
 
6.9%
H 2
 
6.9%
M 1
 
3.4%
G 1
 
3.4%
A 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
1 6
31.6%
0 3
15.8%
5 3
15.8%
6 2
 
10.5%
7 2
 
10.5%
2 1
 
5.3%
3 1
 
5.3%
8 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
& 3
33.3%
, 2
22.2%
Space Separator
ValueCountFrequency (%)
226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3053
89.3%
Common 337
 
9.9%
Latin 30
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 119
 
3.9%
원 88
 
2.9%
산 75
 
2.5%
장 68
 
2.2%
주 50
 
1.6%
마 48
 
1.6%
지 48
 
1.6%
업 42
 
1.4%
인 38
 
1.2%
영 36
 
1.2%
Other values (408) 2441
80.0%
Common
ValueCountFrequency (%)
226
67.1%
( 40
 
11.9%
) 40
 
11.9%
1 6
 
1.8%
. 4
 
1.2%
& 3
 
0.9%
- 3
 
0.9%
0 3
 
0.9%
5 3
 
0.9%
, 2
 
0.6%
Other values (5) 7
 
2.1%
Latin
ValueCountFrequency (%)
C 6
20.0%
P 4
13.3%
R 3
10.0%
E 3
10.0%
S 2
 
6.7%
T 2
 
6.7%
H 2
 
6.7%
M 1
 
3.3%
G 1
 
3.3%
A 1
 
3.3%
Other values (5) 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3050
89.2%
ASCII 367
 
10.7%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
61.6%
( 40
 
10.9%
) 40
 
10.9%
1 6
 
1.6%
C 6
 
1.6%
P 4
 
1.1%
. 4
 
1.1%
& 3
 
0.8%
- 3
 
0.8%
R 3
 
0.8%
Other values (20) 32
 
8.7%
Hangul
ValueCountFrequency (%)
농 119
 
3.9%
원 88
 
2.9%
산 75
 
2.5%
장 68
 
2.2%
주 50
 
1.6%
마 48
 
1.6%
지 48
 
1.6%
업 42
 
1.4%
인 38
 
1.2%
영 36
 
1.2%
Other values (407) 2438
79.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지
Text

Distinct83
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T12:26:07.155612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1565657
Min length8

Characters and Unicode

Total characters3230
Distinct characters69
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

Unique24 ?
Unique (%)6.1%

Sample

1st row충청남도 청양군
2nd row충청남도 공주시
3rd row전라북도 진안군
4th row전라북도 정읍시
5th row전라북도 임실군
ValueCountFrequency (%)
전라남도 209
26.7%
전라북도 122
15.6%
나주시 40
 
5.1%
장성군 23
 
2.9%
담양군 23
 
2.9%
김제시 19
 
2.4%
강진군 16
 
2.0%
광주광역시 16
 
2.0%
고창군 15
 
1.9%
완주군 15
 
1.9%
Other values (58) 284
36.3%
2023-12-11T12:26:07.597762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
454
14.1%
도 378
11.7%
전 342
10.6%
라 331
10.2%
남 248
 
7.7%
군 244
 
7.6%
시 148
 
4.6%
북 135
 
4.2%
주 96
 
3.0%
광 55
 
1.7%
Other values (59) 799
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2776
85.9%
Space Separator 454
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 378
13.6%
전 342
12.3%
라 331
11.9%
남 248
 
8.9%
군 244
 
8.8%
시 148
 
5.3%
북 135
 
4.9%
주 96
 
3.5%
광 55
 
2.0%
성 46
 
1.7%
Other values (58) 753
27.1%
Space Separator
ValueCountFrequency (%)
454
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2776
85.9%
Common 454
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 378
13.6%
전 342
12.3%
라 331
11.9%
남 248
 
8.9%
군 244
 
8.8%
시 148
 
5.3%
북 135
 
4.9%
주 96
 
3.5%
광 55
 
2.0%
성 46
 
1.7%
Other values (58) 753
27.1%
Common
ValueCountFrequency (%)
454
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2776
85.9%
ASCII 454
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
100.0%
Hangul
ValueCountFrequency (%)
도 378
13.6%
전 342
12.3%
라 331
11.9%
남 248
 
8.9%
군 244
 
8.8%
시 148
 
5.3%
북 135
 
4.9%
주 96
 
3.5%
광 55
 
2.0%
성 46
 
1.7%
Other values (58) 753
27.1%

전화번호
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)99.5%
Missing190
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean7.2948513 × 108
Minimum16000125
Maximum7.0880246 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T12:26:07.796106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16000125
5-th percentile5.3937731 × 108
Q16.1367772 × 108
median6.1754368 × 108
Q36.3544423 × 108
95-th percentile6.475667 × 108
Maximum7.0880246 × 109
Range7.0720245 × 109
Interquartile range (IQR)21766507

Descriptive statistics

Standard deviation8.9809172 × 108
Coefficient of variation (CV)1.2311309
Kurtosis46.869693
Mean7.2948513 × 108
Median Absolute Deviation (MAD)12071926
Skewness6.9223134
Sum1.5027394 × 1011
Variance8.0656874 × 1017
MonotonicityNot monotonic
2023-12-11T12:26:08.027230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
613838283 2
 
0.5%
647574482 1
 
0.3%
635433762 1
 
0.3%
635447715 1
 
0.3%
613908221 1
 
0.3%
617498831 1
 
0.3%
618575959 1
 
0.3%
613357008 1
 
0.3%
519992112 1
 
0.3%
626135541 1
 
0.3%
Other values (195) 195
49.2%
(Missing) 190
48.0%
ValueCountFrequency (%)
16000125 1
0.3%
25695924 1
0.3%
67832200 1
0.3%
319408452 1
0.3%
333331260 1
0.3%
418342958 1
0.3%
424798449 1
0.3%
437311313 1
0.3%
516006218 1
0.3%
519992112 1
0.3%
ValueCountFrequency (%)
7088024639 1
0.3%
7077957064 1
0.3%
7070765137 1
0.3%
7042037161 1
0.3%
647958080 1
0.3%
647958079 1
0.3%
647800172 1
0.3%
647800134 1
0.3%
647722488 1
0.3%
647647759 1
0.3%

Interactions

2023-12-11T12:26:05.578425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:26:05.351836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:26:05.697071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:26:05.473598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:26:08.150099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도별소재지전화번호
년도별1.0000.5460.289
소재지0.5461.0000.000
전화번호0.2890.0001.000
2023-12-11T12:26:08.254703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도별전화번호
년도별1.0000.055
전화번호0.0551.000

Missing values

2023-12-11T12:26:05.861720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:26:05.950720image/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

년도별교육지명소재지전화번호
02023칠성에너지 영농조합법인충청남도 청양군<NA>
12023동일피에스영농조합법인충청남도 공주시<NA>
22023전북농업기술원 약용자원연구소 약초시험장전라북도 진안군632906000
32023정읍 도정공장전라북도 정읍시635354162
42023임실생약영농조합법인전라북도 임실군632906350
52023청웅면 복지회관전라북도 임실군<NA>
62023경천애인권역전라북도 완주군<NA>
72023가인교육농장(이관옥 농가)전라북도 순창군<NA>
82023(주)흙농전라북도 남원시636324001
92023전북농업기술원 허브산채시험장전라북도 남원시632906302
년도별교육지명소재지전화번호
3862017다도락전라남도 보성군618524832
3872017대한다원전라남도 보성군618505215
3882017바이오에너지작물연구소전라남도 무안군614500120
3892017추성고을전라남도 담양군613833011
3902017대나무건강나라전라남도 담양군613838000
3912017MG 내츄럴전라남도 담양군<NA>
3922017한국온실작물연구소전라남도 담양군613812891
3932017금성원전라남도 나주시613317646
3942017생물방제연구원전라남도 곡성군613620630
3952017흥양영농조합법인전라남도 고흥군618430088