Overview

Dataset statistics

Number of variables6
Number of observations633
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory50.2 B

Variable types

Numeric2
Categorical3
Text1

Dataset

Description남해군의 등록된 축산농장현황입니다. 소재지 읍면별 사업장명칭, 등록축종, 사업장 도로명주소지, 농장규모를 포함한 정보입니다.
URLhttps://www.data.go.kr/data/15031717/fileData.do

Alerts

농장명 has constant value ""Constant
등록축종 is highly imbalanced (81.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:00:56.017005
Analysis finished2023-12-12 05:00:57.183460
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct633
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317
Minimum1
Maximum633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T14:00:57.272808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.6
Q1159
median317
Q3475
95-th percentile601.4
Maximum633
Range632
Interquartile range (IQR)316

Descriptive statistics

Standard deviation182.87564
Coefficient of variation (CV)0.57689477
Kurtosis-1.2
Mean317
Median Absolute Deviation (MAD)158
Skewness0
Sum200661
Variance33443.5
MonotonicityStrictly increasing
2023-12-12T14:00:57.483112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
426 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
427 1
 
0.2%
Other values (623) 623
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%

읍면
Categorical

Distinct10
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
남면
115 
서면
107 
고현면
91 
설천면
78 
이동면
74 
Other values (5)
168 

Length

Max length3
Median length3
Mean length2.6492891
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row남면
2nd row서면
3rd row서면
4th row이동면
5th row삼동면

Common Values

ValueCountFrequency (%)
남면 115
18.2%
서면 107
16.9%
고현면 91
14.4%
설천면 78
12.3%
이동면 74
11.7%
남해읍 56
8.8%
창선면 52
8.2%
삼동면 48
7.6%
상주면 11
 
1.7%
미조면 1
 
0.2%

Length

2023-12-12T14:00:57.677360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:00:57.832746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남면 115
18.2%
서면 107
16.9%
고현면 91
14.4%
설천면 78
12.3%
이동면 74
11.7%
남해읍 56
8.8%
창선면 52
8.2%
삼동면 48
7.6%
상주면 11
 
1.7%
미조면 1
 
0.2%

농장명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
개인농장
633 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인농장 633
100.0%

Length

2023-12-12T14:00:58.008469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:00:58.165957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인농장 633
100.0%

등록축종
Categorical

IMBALANCE 

Distinct15
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
한우
574 
산양
 
15
염소
 
13
젖소
 
6
돼지
 
6
Other values (10)
 
19

Length

Max length6
Median length2
Mean length2.0774092
Min length2

Unique

Unique6 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
한우 574
90.7%
산양 15
 
2.4%
염소 13
 
2.1%
젖소 6
 
0.9%
돼지 6
 
0.9%
한우, 산양 4
 
0.6%
면양 4
 
0.6%
산란육성계 3
 
0.5%
한우, 염소 2
 
0.3%
종계/산란계 1
 
0.2%
Other values (5) 5
 
0.8%

Length

2023-12-12T14:00:58.340641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 582
90.7%
산양 20
 
3.1%
염소 16
 
2.5%
젖소 6
 
0.9%
돼지 6
 
0.9%
면양 4
 
0.6%
산란육성계 3
 
0.5%
육계 2
 
0.3%
육우 2
 
0.3%
종계/산란계 1
 
0.2%

위치
Text

Distinct71
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T14:00:58.693821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters10128
Distinct characters91
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 (%)1.3%

Sample

1st row경상남도 남해군 남면 상가리
2nd row경상남도 남해군 서면 정포리
3rd row경상남도 남해군 서면 서호리
4th row경상남도 남해군 이동면 다정리
5th row경상남도 남해군 삼동면 봉화리
ValueCountFrequency (%)
경상남도 633
25.0%
남해군 633
25.0%
남면 115
 
4.5%
서면 107
 
4.2%
고현면 91
 
3.6%
설천면 78
 
3.1%
이동면 74
 
2.9%
남해읍 56
 
2.2%
창선면 52
 
2.1%
삼동면 48
 
1.9%
Other values (72) 645
25.5%
2023-12-12T14:00:59.223745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2131
21.0%
남 1499
14.8%
상 736
 
7.3%
해 689
 
6.8%
도 641
 
6.3%
경 633
 
6.2%
군 633
 
6.2%
리 633
 
6.2%
면 580
 
5.7%
동 135
 
1.3%
Other values (81) 1818
18.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7997
79.0%
Space Separator 2131
 
21.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1499
18.7%
상 736
9.2%
해 689
8.6%
도 641
 
8.0%
경 633
 
7.9%
군 633
 
7.9%
리 633
 
7.9%
면 580
 
7.3%
동 135
 
1.7%
서 129
 
1.6%
Other values (80) 1689
21.1%
Space Separator
ValueCountFrequency (%)
2131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7997
79.0%
Common 2131
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1499
18.7%
상 736
9.2%
해 689
8.6%
도 641
 
8.0%
경 633
 
7.9%
군 633
 
7.9%
리 633
 
7.9%
면 580
 
7.3%
동 135
 
1.7%
서 129
 
1.6%
Other values (80) 1689
21.1%
Common
ValueCountFrequency (%)
2131
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7997
79.0%
ASCII 2131
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2131
100.0%
Hangul
ValueCountFrequency (%)
남 1499
18.7%
상 736
9.2%
해 689
8.6%
도 641
 
8.0%
경 633
 
7.9%
군 633
 
7.9%
리 633
 
7.9%
면 580
 
7.3%
동 135
 
1.7%
서 129
 
1.6%
Other values (80) 1689
21.1%

농장규모(제곱미터)
Real number (ℝ)

Distinct344
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.54818
Minimum7
Maximum7438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T14:00:59.437820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q150
median176
Q3420
95-th percentile1465.8
Maximum7438
Range7431
Interquartile range (IQR)370

Descriptive statistics

Standard deviation699.40703
Coefficient of variation (CV)1.7726784
Kurtosis40.678066
Mean394.54818
Median Absolute Deviation (MAD)149
Skewness5.3076988
Sum249749
Variance489170.2
MonotonicityNot monotonic
2023-12-12T14:00:59.662439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 14
 
2.2%
10 14
 
2.2%
98 12
 
1.9%
50 11
 
1.7%
160 10
 
1.6%
12 10
 
1.6%
20 10
 
1.6%
80 9
 
1.4%
96 9
 
1.4%
40 8
 
1.3%
Other values (334) 526
83.1%
ValueCountFrequency (%)
7 1
 
0.2%
9 1
 
0.2%
10 14
2.2%
11 5
 
0.8%
12 10
1.6%
13 6
0.9%
14 4
 
0.6%
15 6
0.9%
16 6
0.9%
17 5
 
0.8%
ValueCountFrequency (%)
7438 1
0.2%
7000 1
0.2%
6622 1
0.2%
3769 1
0.2%
3628 1
0.2%
3458 1
0.2%
3314 1
0.2%
2927 1
0.2%
2768 1
0.2%
2650 1
0.2%

Interactions

2023-12-12T14:00:56.648382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:00:56.387139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:00:56.786010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:00:56.518265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:00:59.791193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면등록축종위치농장규모(제곱미터)
연번1.0000.6110.3360.6390.290
읍면0.6111.0000.4031.0000.000
등록축종0.3360.4031.0000.3820.583
위치0.6391.0000.3821.0000.000
농장규모(제곱미터)0.2900.0000.5830.0001.000
2023-12-12T14:00:59.915496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면등록축종
읍면1.0000.161
등록축종0.1611.000
2023-12-12T14:01:00.053616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번농장규모(제곱미터)읍면등록축종
연번1.000-0.4360.2280.131
농장규모(제곱미터)-0.4361.0000.0000.293
읍면0.2280.0001.0000.161
등록축종0.1310.2930.1611.000

Missing values

2023-12-12T14:00:56.972651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:00:57.122354image/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(제곱미터)
01남면개인농장한우경상남도 남해군 남면 상가리1770
12서면개인농장한우경상남도 남해군 서면 정포리2927
23서면개인농장한우경상남도 남해군 서면 서호리942
34이동면개인농장한우경상남도 남해군 이동면 다정리499
45삼동면개인농장한우경상남도 남해군 삼동면 봉화리1117
56삼동면개인농장한우경상남도 남해군 삼동면 영지리436
67남해읍개인농장한우경상남도 남해군 남해읍 평리868
78서면개인농장한우경상남도 남해군 서면 남상리576
89이동면개인농장한우경상남도 남해군 이동면 다정리436
910고현면개인농장한우경상남도 남해군 고현면 대곡리655
연번읍면농장명등록축종위치농장규모(제곱미터)
623624서면개인농장한우경상남도 남해군 서면 정포리155
624625서면개인농장한우경상남도 남해군 서면 대정리7
625626삼동면개인농장염소경상남도 남해군 삼동면 영지리7000
626627남면개인농장한우경상남도 남해군 남면 선구리85
627628이동면개인농장한우경상남도 남해군 이동면 초음리50
628629남면개인농장한우경상남도 남해군 남면 평산리41
629630설천면개인농장한우경상남도 남해군 설천면 덕신리356
630631창선면개인농장염소경상남도 남해군 창선면 부윤리190
631632설천면개인농장염소경상남도 남해군 설천면 금음리154
632633고현면개인농장한우경상남도 남해군 고현면 이어리386