Overview

Dataset statistics

Number of variables6
Number of observations761
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.3 KiB
Average record size in memory50.2 B

Variable types

Numeric2
Categorical2
Text2

Dataset

Description남해군의 등록된 축산농장현황입니다. 소재지 읍면별 사업장명칭, 등록축종, 사업장 도로명주소지, 농장규모를 포함한 정보입니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15031717

Alerts

연번 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 연번High correlation
등록축종 is highly imbalanced (84.9%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:56:35.958624
Analysis finished2023-12-10 22:56:36.907335
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct761
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.09461
Minimum1
Maximum762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T07:56:36.997828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39
Q1191
median381
Q3571
95-th percentile724
Maximum762
Range761
Interquartile range (IQR)380

Descriptive statistics

Standard deviation219.97468
Coefficient of variation (CV)0.57721802
Kurtosis-1.1981244
Mean381.09461
Median Absolute Deviation (MAD)190
Skewness0.001904269
Sum290013
Variance48388.859
MonotonicityNot monotonic
2023-12-11T07:56:37.165033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
468 1
 
0.1%
459 1
 
0.1%
460 1
 
0.1%
461 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
Other values (751) 751
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
762 1
0.1%
761 1
0.1%
760 1
0.1%
759 1
0.1%
758 1
0.1%
757 1
0.1%
756 1
0.1%
755 1
0.1%
754 1
0.1%
753 1
0.1%

읍면
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
남면
151 
서면
143 
설천면
98 
이동면
91 
고현면
88 
Other values (5)
190 

Length

Max length3
Median length3
Mean length2.6136662
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
남면 151
19.8%
서면 143
18.8%
설천면 98
12.9%
이동면 91
12.0%
고현면 88
11.6%
남해읍 63
8.3%
창선면 57
 
7.5%
삼동면 56
 
7.4%
상주면 13
 
1.7%
미조면 1
 
0.1%

Length

2023-12-11T07:56:37.313019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:56:37.440475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남면 151
19.8%
서면 143
18.8%
설천면 98
12.9%
이동면 91
12.0%
고현면 88
11.6%
남해읍 63
8.3%
창선면 57
 
7.5%
삼동면 56
 
7.4%
상주면 13
 
1.7%
미조면 1
 
0.1%

농장명
Text

Distinct145
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T07:56:37.712137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.1287779
Min length2

Characters and Unicode

Total characters3142
Distinct characters181
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

Unique139 ?
Unique (%)18.3%

Sample

1st row개인농장
2nd row개인농장
3rd row개인농장
4th row개인농장
5th row개인농장
ValueCountFrequency (%)
개인농장 612
78.7%
농장 6
 
0.8%
돈해진미 3
 
0.4%
망운농장 3
 
0.4%
미리내농장 2
 
0.3%
흑염소농장 2
 
0.3%
옥석농장 2
 
0.3%
호산농장 2
 
0.3%
새방목장 2
 
0.3%
푸른골축산 1
 
0.1%
Other values (143) 143
 
18.4%
2023-12-11T07:56:38.098394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 729
23.2%
농 720
22.9%
인 614
19.5%
개 613
19.5%
산 21
 
0.7%
축 21
 
0.7%
17
 
0.5%
우 14
 
0.4%
한 14
 
0.4%
목 12
 
0.4%
Other values (171) 367
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3116
99.2%
Space Separator 17
 
0.5%
Decimal Number 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 729
23.4%
농 720
23.1%
인 614
19.7%
개 613
19.7%
산 21
 
0.7%
축 21
 
0.7%
우 14
 
0.4%
한 14
 
0.4%
목 12
 
0.4%
해 11
 
0.4%
Other values (167) 347
11.1%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
3 2
 
22.2%
1 2
 
22.2%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3116
99.2%
Common 26
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 729
23.4%
농 720
23.1%
인 614
19.7%
개 613
19.7%
산 21
 
0.7%
축 21
 
0.7%
우 14
 
0.4%
한 14
 
0.4%
목 12
 
0.4%
해 11
 
0.4%
Other values (167) 347
11.1%
Common
ValueCountFrequency (%)
17
65.4%
2 5
 
19.2%
3 2
 
7.7%
1 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3116
99.2%
ASCII 26
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 729
23.4%
농 720
23.1%
인 614
19.7%
개 613
19.7%
산 21
 
0.7%
축 21
 
0.7%
우 14
 
0.4%
한 14
 
0.4%
목 12
 
0.4%
해 11
 
0.4%
Other values (167) 347
11.1%
ASCII
ValueCountFrequency (%)
17
65.4%
2 5
 
19.2%
3 2
 
7.7%
1 2
 
7.7%

등록축종
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
한우
707 
산양
 
22
돼지
 
6
젖소
 
5
한우, 산양
 
5
Other values (9)
 
16

Length

Max length6
Median length2
Mean length2.0420499
Min length1

Unique

Unique6 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
한우 707
92.9%
산양 22
 
2.9%
돼지 6
 
0.8%
젖소 5
 
0.7%
한우, 산양 5
 
0.7%
면양 4
 
0.5%
육계 3
 
0.4%
염소 3
 
0.4%
육우 1
 
0.1%
산란계 1
 
0.1%
Other values (4) 4
 
0.5%

Length

2023-12-11T07:56:38.237517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 715
93.0%
산양 27
 
3.5%
돼지 6
 
0.8%
젖소 6
 
0.8%
면양 4
 
0.5%
육계 4
 
0.5%
염소 3
 
0.4%
육우 2
 
0.3%
산란계 1
 
0.1%
꿩 1
 
0.1%

위치
Text

Distinct74
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T07:56:38.723526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters12176
Distinct characters92
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

Unique10 ?
Unique (%)1.3%

Sample

1st row경상남도 남해군 남해읍 남변리
2nd row경상남도 남해군 남해읍 남변리
3rd row경상남도 남해군 남해읍 북변리
4th row경상남도 남해군 남해읍 서변리
5th row경상남도 남해군 남해읍 선소리
ValueCountFrequency (%)
경상남도 761
25.0%
남해군 761
25.0%
남면 151
 
5.0%
서면 143
 
4.7%
설천면 98
 
3.2%
이동면 91
 
3.0%
고현면 88
 
2.9%
남해읍 63
 
2.1%
창선면 57
 
1.9%
삼동면 56
 
1.8%
Other values (75) 775
25.5%
2023-12-11T07:56:39.049529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2591
21.3%
남 1798
14.8%
상 884
 
7.3%
해 824
 
6.8%
도 772
 
6.3%
경 761
 
6.2%
군 761
 
6.2%
리 761
 
6.2%
면 703
 
5.8%
서 173
 
1.4%
Other values (82) 2148
17.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9585
78.7%
Space Separator 2591
 
21.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1798
18.8%
상 884
9.2%
해 824
8.6%
도 772
 
8.1%
경 761
 
7.9%
군 761
 
7.9%
리 761
 
7.9%
면 703
 
7.3%
서 173
 
1.8%
동 161
 
1.7%
Other values (81) 1987
20.7%
Space Separator
ValueCountFrequency (%)
2591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9585
78.7%
Common 2591
 
21.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1798
18.8%
상 884
9.2%
해 824
8.6%
도 772
 
8.1%
경 761
 
7.9%
군 761
 
7.9%
리 761
 
7.9%
면 703
 
7.3%
서 173
 
1.8%
동 161
 
1.7%
Other values (81) 1987
20.7%
Common
ValueCountFrequency (%)
2591
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9585
78.7%
ASCII 2591
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2591
100.0%
Hangul
ValueCountFrequency (%)
남 1798
18.8%
상 884
9.2%
해 824
8.6%
도 772
 
8.1%
경 761
 
7.9%
군 761
 
7.9%
리 761
 
7.9%
면 703
 
7.3%
서 173
 
1.8%
동 161
 
1.7%
Other values (81) 1987
20.7%

농장규모(㎡)
Real number (ℝ)

Distinct363
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.18196
Minimum9
Maximum7438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T07:56:39.175443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q123.5
median85
Q3291
95-th percentile903.3
Maximum7438
Range7429
Interquartile range (IQR)267.5

Descriptive statistics

Standard deviation521.05245
Coefficient of variation (CV)2.0744024
Kurtosis82.182932
Mean251.18196
Median Absolute Deviation (MAD)71.8
Skewness7.4571224
Sum191149.47
Variance271495.65
MonotonicityNot monotonic
2023-12-11T07:56:39.326997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 33
 
4.3%
12.0 24
 
3.2%
20.0 18
 
2.4%
64.0 18
 
2.4%
32.0 15
 
2.0%
15.0 14
 
1.8%
16.0 13
 
1.7%
160.0 12
 
1.6%
192.0 11
 
1.4%
18.0 11
 
1.4%
Other values (353) 592
77.8%
ValueCountFrequency (%)
9.0 1
 
0.1%
10.0 33
4.3%
10.2 1
 
0.1%
10.8 1
 
0.1%
11.0 7
 
0.9%
11.5 1
 
0.1%
12.0 24
3.2%
13.0 8
 
1.1%
13.2 2
 
0.3%
13.22 1
 
0.1%
ValueCountFrequency (%)
7438.0 1
0.1%
6621.78 1
0.1%
3769.0 1
0.1%
2927.33 1
0.1%
2767.5 1
0.1%
2649.6 1
0.1%
2641.5 1
0.1%
2572.84 1
0.1%
2470.5 1
0.1%
2308.17 1
0.1%

Interactions

2023-12-11T07:56:36.499740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:56:36.289511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:56:36.596219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:56:36.405268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:56:39.433372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면등록축종위치농장규모(㎡)
연번1.0000.9640.1570.9870.064
읍면0.9641.0000.3441.0000.080
등록축종0.1570.3441.0000.5860.663
위치0.9871.0000.5861.0000.000
농장규모(㎡)0.0640.0800.6630.0001.000
2023-12-11T07:56:39.519234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면등록축종
읍면1.0000.145
등록축종0.1451.000
2023-12-11T07:56:39.598652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번농장규모(㎡)읍면등록축종
연번1.0000.1400.6750.063
농장규모(㎡)0.1401.0000.0400.306
읍면0.6750.0401.0000.145
등록축종0.0630.3060.1451.000

Missing values

2023-12-11T07:56:36.737195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:56:36.858482image/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

연번읍면농장명등록축종위치농장규모(㎡)
01남해읍개인농장한우경상남도 남해군 남해읍 남변리664.5
12남해읍개인농장한우경상남도 남해군 남해읍 남변리30.0
23남해읍개인농장한우경상남도 남해군 남해읍 북변리350.0
34남해읍개인농장한우경상남도 남해군 남해읍 서변리60.0
45남해읍개인농장한우경상남도 남해군 남해읍 선소리10.0
56남해읍재신농장한우경상남도 남해군 남해읍 심천리512.0
67남해읍개인농장한우경상남도 남해군 남해읍 심천리276.54
78남해읍철이농장한우경상남도 남해군 남해읍 심천리310.0
89남해읍개인농장한우경상남도 남해군 남해읍 심천리36.0
910남해읍유리농장한우경상남도 남해군 남해읍 심천리32.0
연번읍면농장명등록축종위치농장규모(㎡)
751682창선면개인농장한우경상남도 남해군 창선면 옥천리24.0
752683창선면개인농장한우경상남도 남해군 창선면 옥천리32.0
753684창선면개인농장한우경상남도 남해군 창선면 옥천리40.0
754761창선면개인농장한우경상남도 남해군 창선면 옥천리32.0
755685창선면개인농장한우경상남도 남해군 창선면 율도리198.0
756686창선면개인농장한우경상남도 남해군 창선면 지족리20.0
757687창선면개인농장한우경상남도 남해군 창선면 지족리12.0
758688창선면개인농장한우경상남도 남해군 창선면 진동리96.0
759689창선면개인농장한우경상남도 남해군 창선면 진동리186.0
760762창선면큰골농장한우경상남도 남해군 창선면 진동리384.0