Overview

Dataset statistics

Number of variables8
Number of observations3445
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory225.5 KiB
Average record size in memory67.0 B

Variable types

Categorical4
Text2
Numeric2

Dataset

DescriptionFTA 피해보전직불제 신청현황 정보 제공
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20211220000000001652

Alerts

사업연도 has constant value ""Constant
분야 has constant value ""Constant
Dataset has 2 (0.1%) duplicate rowsDuplicates
농가수 is highly overall correlated with 신청규모(마리수)High correlation
신청규모(마리수) is highly overall correlated with 농가수High correlation

Reproduction

Analysis started2023-12-11 03:33:10.317468
Analysis finished2023-12-11 03:33:11.564325
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2013
3445 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013
2nd row2013
3rd row2013
4th row2013
5th row2013

Common Values

ValueCountFrequency (%)
2013 3445
100.0%

Length

2023-12-11T12:33:11.637842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:33:11.743766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 3445
100.0%

시도
Categorical

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
경상북도
563 
전라남도
498 
경상남도
466 
경기도
399 
충청남도
363 
Other values (11)
1156 

Length

Max length7
Median length4
Mean length3.9114659
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시
2nd row부산광역시
3rd row부산광역시
4th row부산광역시
5th row부산광역시

Common Values

ValueCountFrequency (%)
경상북도 563
16.3%
전라남도 498
14.5%
경상남도 466
13.5%
경기도 399
11.6%
충청남도 363
10.5%
전라북도 358
10.4%
강원도 302
8.8%
충청북도 246
7.1%
제주특별자치도 45
 
1.3%
대구광역시 43
 
1.2%
Other values (6) 162
 
4.7%

Length

2023-12-11T12:33:11.856470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 563
16.3%
전라남도 498
14.5%
경상남도 466
13.5%
경기도 399
11.6%
충청남도 363
10.5%
전라북도 358
10.4%
강원도 302
8.8%
충청북도 246
7.1%
제주특별자치도 45
 
1.3%
대구광역시 43
 
1.2%
Other values (6) 162
 
4.7%

시군구
Text

Distinct168
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2023-12-11T12:33:12.206077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9939042
Min length2

Characters and Unicode

Total characters10314
Distinct characters120
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

Unique2 ?
Unique (%)0.1%

Sample

1st row금정구
2nd row금정구
3rd row강서구
4th row강서구
5th row강서구
ValueCountFrequency (%)
청주시 46
 
1.3%
상주시 46
 
1.3%
진주시 40
 
1.2%
남원시 40
 
1.2%
경주시 39
 
1.1%
익산시 39
 
1.1%
정읍시 39
 
1.1%
안동시 38
 
1.1%
김천시 38
 
1.1%
창원시 38
 
1.1%
Other values (158) 3042
88.3%
2023-12-11T12:33:12.755742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1766
 
17.1%
군 1624
 
15.7%
주 544
 
5.3%
천 430
 
4.2%
성 313
 
3.0%
산 301
 
2.9%
양 276
 
2.7%
안 228
 
2.2%
영 196
 
1.9%
진 160
 
1.6%
Other values (110) 4476
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10314
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1766
 
17.1%
군 1624
 
15.7%
주 544
 
5.3%
천 430
 
4.2%
성 313
 
3.0%
산 301
 
2.9%
양 276
 
2.7%
안 228
 
2.2%
영 196
 
1.9%
진 160
 
1.6%
Other values (110) 4476
43.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10314
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1766
 
17.1%
군 1624
 
15.7%
주 544
 
5.3%
천 430
 
4.2%
성 313
 
3.0%
산 301
 
2.9%
양 276
 
2.7%
안 228
 
2.2%
영 196
 
1.9%
진 160
 
1.6%
Other values (110) 4476
43.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10314
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1766
 
17.1%
군 1624
 
15.7%
주 544
 
5.3%
천 430
 
4.2%
성 313
 
3.0%
산 301
 
2.9%
양 276
 
2.7%
안 228
 
2.2%
영 196
 
1.9%
진 160
 
1.6%
Other values (110) 4476
43.4%

읍면동
Text

Distinct1594
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2023-12-11T12:33:13.136303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.053701
Min length2

Characters and Unicode

Total characters10520
Distinct characters303
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

Unique112 ?
Unique (%)3.3%

Sample

1st row금성동
2nd row금성동
3rd row대저2동
4th row대저2동
5th row강동동
ValueCountFrequency (%)
남면 24
 
0.7%
서면 20
 
0.6%
북면 15
 
0.4%
동면 10
 
0.3%
금성면 10
 
0.3%
봉산면 8
 
0.2%
산내면 8
 
0.2%
옥산면 8
 
0.2%
삼산면 8
 
0.2%
대산면 8
 
0.2%
Other values (1584) 3326
96.5%
2023-12-11T12:33:13.649564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 2295
21.8%
동 905
 
8.6%
읍 440
 
4.2%
산 331
 
3.1%
천 184
 
1.7%
성 184
 
1.7%
남 180
 
1.7%
서 144
 
1.4%
양 135
 
1.3%
북 126
 
1.2%
Other values (293) 5596
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10372
98.6%
Decimal Number 144
 
1.4%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 2295
22.1%
동 905
 
8.7%
읍 440
 
4.2%
산 331
 
3.2%
천 184
 
1.8%
성 184
 
1.8%
남 180
 
1.7%
서 144
 
1.4%
양 135
 
1.3%
북 126
 
1.2%
Other values (286) 5448
52.5%
Decimal Number
ValueCountFrequency (%)
1 58
40.3%
2 49
34.0%
3 23
 
16.0%
4 9
 
6.2%
5 3
 
2.1%
6 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10372
98.6%
Common 148
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 2295
22.1%
동 905
 
8.7%
읍 440
 
4.2%
산 331
 
3.2%
천 184
 
1.8%
성 184
 
1.8%
남 180
 
1.7%
서 144
 
1.4%
양 135
 
1.3%
북 126
 
1.2%
Other values (286) 5448
52.5%
Common
ValueCountFrequency (%)
1 58
39.2%
2 49
33.1%
3 23
 
15.5%
4 9
 
6.1%
. 4
 
2.7%
5 3
 
2.0%
6 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10372
98.6%
ASCII 148
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 2295
22.1%
동 905
 
8.7%
읍 440
 
4.2%
산 331
 
3.2%
천 184
 
1.8%
성 184
 
1.8%
남 180
 
1.7%
서 144
 
1.4%
양 135
 
1.3%
북 126
 
1.2%
Other values (286) 5448
52.5%
ASCII
ValueCountFrequency (%)
1 58
39.2%
2 49
33.1%
3 23
 
15.5%
4 9
 
6.1%
. 4
 
2.7%
5 3
 
2.0%
6 2
 
1.4%

분야
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
축산
3445 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row축산
2nd row축산
3rd row축산
4th row축산
5th row축산

Common Values

ValueCountFrequency (%)
축산 3445
100.0%

Length

2023-12-11T12:33:13.784450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:33:13.907739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 3445
100.0%

품목
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
한우
1758 
송아지
1687 

Length

Max length3
Median length2
Mean length2.4896952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한우
2nd row송아지
3rd row한우
4th row송아지
5th row한우

Common Values

ValueCountFrequency (%)
한우 1758
51.0%
송아지 1687
49.0%

Length

2023-12-11T12:33:14.066996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:33:14.187364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 1758
51.0%
송아지 1687
49.0%

농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct267
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.485051
Minimum1
Maximum458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.4 KiB
2023-12-11T12:33:14.301626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q113
median38
Q376
95-th percentile167.6
Maximum458
Range457
Interquartile range (IQR)63

Descriptive statistics

Standard deviation56.842699
Coefficient of variation (CV)1.0432715
Kurtosis5.2895416
Mean54.485051
Median Absolute Deviation (MAD)29
Skewness1.9406243
Sum187701
Variance3231.0925
MonotonicityNot monotonic
2023-12-11T12:33:14.452255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 191
 
5.5%
2 104
 
3.0%
3 88
 
2.6%
4 80
 
2.3%
7 72
 
2.1%
5 55
 
1.6%
13 48
 
1.4%
6 46
 
1.3%
8 45
 
1.3%
10 44
 
1.3%
Other values (257) 2672
77.6%
ValueCountFrequency (%)
1 191
5.5%
2 104
3.0%
3 88
2.6%
4 80
2.3%
5 55
 
1.6%
6 46
 
1.3%
7 72
 
2.1%
8 45
 
1.3%
9 41
 
1.2%
10 44
 
1.3%
ValueCountFrequency (%)
458 1
< 0.1%
426 1
< 0.1%
369 2
0.1%
368 1
< 0.1%
365 1
< 0.1%
362 1
< 0.1%
345 1
< 0.1%
343 1
< 0.1%
338 1
< 0.1%
333 1
< 0.1%

신청규모(마리수)
Real number (ℝ)

HIGH CORRELATION 

Distinct848
Distinct (%)24.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean263.55226
Minimum1
Maximum3924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.4 KiB
2023-12-11T12:33:14.604609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q151
median162
Q3344
95-th percentile879
Maximum3924
Range3923
Interquartile range (IQR)293

Descriptive statistics

Standard deviation330.91059
Coefficient of variation (CV)1.2555786
Kurtosis16.399693
Mean263.55226
Median Absolute Deviation (MAD)127
Skewness3.140687
Sum907674
Variance109501.82
MonotonicityNot monotonic
2023-12-11T12:33:14.755262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 52
 
1.5%
3 48
 
1.4%
2 42
 
1.2%
4 39
 
1.1%
9 29
 
0.8%
6 26
 
0.8%
5 25
 
0.7%
7 24
 
0.7%
11 24
 
0.7%
15 23
 
0.7%
Other values (838) 3112
90.3%
ValueCountFrequency (%)
1 52
1.5%
2 42
1.2%
3 48
1.4%
4 39
1.1%
5 25
0.7%
6 26
0.8%
7 24
0.7%
8 21
0.6%
9 29
0.8%
10 22
0.6%
ValueCountFrequency (%)
3924 1
< 0.1%
3593 1
< 0.1%
3082 1
< 0.1%
2653 1
< 0.1%
2523 1
< 0.1%
2501 1
< 0.1%
2450 1
< 0.1%
2440 1
< 0.1%
2320 1
< 0.1%
2202 1
< 0.1%

Interactions

2023-12-11T12:33:10.876633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:33:10.713832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:33:10.962778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:33:10.782575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:33:14.843271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도품목농가수신청규모(마리수)
시도1.0000.0000.2620.156
품목0.0001.0000.0220.249
농가수0.2620.0221.0000.683
신청규모(마리수)0.1560.2490.6831.000
2023-12-11T12:33:14.926478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목시도
품목1.0000.000
시도0.0001.000
2023-12-11T12:33:15.003010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농가수신청규모(마리수)시도품목
농가수1.0000.9200.1060.017
신청규모(마리수)0.9201.0000.0650.248
시도0.1060.0651.0000.000
품목0.0170.2480.0001.000

Missing values

2023-12-11T12:33:11.092825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:33:11.505858image/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

사업연도시도시군구읍면동분야품목농가수신청규모(마리수)
02013부산광역시금정구금성동축산한우11
12013부산광역시금정구금성동축산송아지624
22013부산광역시강서구대저2동축산한우211
32013부산광역시강서구대저2동축산송아지320
42013부산광역시강서구강동동축산한우517
52013부산광역시강서구강동동축산송아지824
62013부산광역시강서구가락동축산한우411
72013부산광역시강서구가락동축산송아지23
82013부산광역시강서구가덕도동축산한우12
92013부산광역시기장군기장읍축산한우312
사업연도시도시군구읍면동분야품목농가수신청규모(마리수)
34352013세종특별자치시세종시장군면축산한우1401213
34362013세종특별자치시세종시장군면축산송아지103524
34372013세종특별자치시세종시연서면축산한우1101368
34382013세종특별자치시세종시연서면축산송아지74366
34392013세종특별자치시세종시전의면축산한우60409
34402013세종특별자치시세종시전의면축산송아지51233
34412013세종특별자치시세종시전동면축산한우1021207
34422013세종특별자치시세종시전동면축산송아지70328
34432013세종특별자치시세종시소정면축산한우525
34442013세종특별자치시세종시소정면축산송아지315

Duplicate rows

Most frequently occurring

사업연도시도시군구읍면동분야품목농가수신청규모(마리수)# duplicates
02013세종특별자치시세종시소정면축산송아지3152
12013세종특별자치시세종시전의면축산송아지512332