Overview

Dataset statistics

Number of variables5
Number of observations480
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory41.3 B

Variable types

Text3
Categorical1
Numeric1

Dataset

Description전라남도 순천시 축산업 허가·등록 농가 현황입니다. 농장명, 농장주, 축종명, 사육두수, 농장소재지 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15064285/fileData.do

Reproduction

Analysis started2023-12-12 09:43:28.869904
Analysis finished2023-12-12 09:43:29.544411
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct464
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T18:43:29.872103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length4.8145833
Min length3

Characters and Unicode

Total characters2311
Distinct characters257
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)94.0%

Sample

1st row성강목장
2nd row이조농장
3rd row근우농장
4th row송정축산
5th row금호농장 2
ValueCountFrequency (%)
농장 86
 
14.2%
축산 15
 
2.5%
창녕농장 3
 
0.5%
두지목장 3
 
0.5%
축사 3
 
0.5%
농원 3
 
0.5%
봉덕농장 3
 
0.5%
팜스토리 2
 
0.3%
한우농장 2
 
0.3%
흑염소 2
 
0.3%
Other values (470) 483
79.8%
2023-12-12T18:43:30.504629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 402
 
17.4%
농 358
 
15.5%
125
 
5.4%
산 75
 
3.2%
축 64
 
2.8%
목 58
 
2.5%
우 31
 
1.3%
대 30
 
1.3%
성 23
 
1.0%
영 22
 
1.0%
Other values (247) 1123
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2163
93.6%
Space Separator 125
 
5.4%
Decimal Number 12
 
0.5%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 402
 
18.6%
농 358
 
16.6%
산 75
 
3.5%
축 64
 
3.0%
목 58
 
2.7%
우 31
 
1.4%
대 30
 
1.4%
성 23
 
1.1%
영 22
 
1.0%
주 22
 
1.0%
Other values (240) 1078
49.8%
Decimal Number
ValueCountFrequency (%)
2 9
75.0%
1 2
 
16.7%
3 1
 
8.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2163
93.6%
Common 148
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 402
 
18.6%
농 358
 
16.6%
산 75
 
3.5%
축 64
 
3.0%
목 58
 
2.7%
우 31
 
1.4%
대 30
 
1.4%
성 23
 
1.1%
영 22
 
1.0%
주 22
 
1.0%
Other values (240) 1078
49.8%
Common
ValueCountFrequency (%)
125
84.5%
2 9
 
6.1%
( 5
 
3.4%
) 5
 
3.4%
1 2
 
1.4%
3 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2163
93.6%
ASCII 148
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 402
 
18.6%
농 358
 
16.6%
산 75
 
3.5%
축 64
 
3.0%
목 58
 
2.7%
우 31
 
1.4%
대 30
 
1.4%
성 23
 
1.1%
영 22
 
1.0%
주 22
 
1.0%
Other values (240) 1078
49.8%
ASCII
ValueCountFrequency (%)
125
84.5%
2 9
 
6.1%
( 5
 
3.4%
) 5
 
3.4%
1 2
 
1.4%
3 1
 
0.7%
- 1
 
0.7%

농장주
Text

Distinct356
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T18:43:30.834976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.2979167
Min length2

Characters and Unicode

Total characters1583
Distinct characters167
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)57.7%

Sample

1st row김*택
2nd row임*재
3rd row신*우
4th row위*환
5th row송*자
ValueCountFrequency (%)
이*열 7
 
1.4%
조*훈 5
 
1.0%
조*익 5
 
1.0%
김*중 5
 
1.0%
김*석 5
 
1.0%
김*수 5
 
1.0%
이*근 5
 
1.0%
김*철 4
 
0.8%
이*순 4
 
0.8%
김*일 4
 
0.8%
Other values (350) 435
89.9%
2023-12-12T18:43:31.326618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 464
29.3%
김 83
 
5.2%
이 58
 
3.7%
조 43
 
2.7%
박 37
 
2.3%
정 29
 
1.8%
석 25
 
1.6%
최 23
 
1.5%
주 21
 
1.3%
수 21
 
1.3%
Other values (157) 779
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
69.9%
Other Punctuation 464
29.3%
Close Punctuation 4
 
0.3%
Space Separator 4
 
0.3%
Open Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 83
 
7.5%
이 58
 
5.2%
조 43
 
3.9%
박 37
 
3.3%
정 29
 
2.6%
석 25
 
2.3%
최 23
 
2.1%
주 21
 
1.9%
수 21
 
1.9%
순 21
 
1.9%
Other values (153) 746
67.4%
Other Punctuation
ValueCountFrequency (%)
* 464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
69.9%
Common 476
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 83
 
7.5%
이 58
 
5.2%
조 43
 
3.9%
박 37
 
3.3%
정 29
 
2.6%
석 25
 
2.3%
최 23
 
2.1%
주 21
 
1.9%
수 21
 
1.9%
순 21
 
1.9%
Other values (153) 746
67.4%
Common
ValueCountFrequency (%)
* 464
97.5%
) 4
 
0.8%
4
 
0.8%
( 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
69.9%
ASCII 476
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 464
97.5%
) 4
 
0.8%
4
 
0.8%
( 4
 
0.8%
Hangul
ValueCountFrequency (%)
김 83
 
7.5%
이 58
 
5.2%
조 43
 
3.9%
박 37
 
3.3%
정 29
 
2.6%
석 25
 
2.3%
최 23
 
2.1%
주 21
 
1.9%
수 21
 
1.9%
순 21
 
1.9%
Other values (153) 746
67.4%

축종명
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
한우
338 
젖소
57 
돼지
 
33
육계
 
29
종계/산란계
 
8
Other values (3)
 
15

Length

Max length6
Median length2
Mean length2.0666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 338
70.4%
젖소 57
 
11.9%
돼지 33
 
6.9%
육계 29
 
6.0%
종계/산란계 8
 
1.7%
오리 7
 
1.5%
염소 5
 
1.0%
산양 3
 
0.6%

Length

2023-12-12T18:43:31.805014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:43:31.973951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 338
70.4%
젖소 57
 
11.9%
돼지 33
 
6.9%
육계 29
 
6.0%
종계/산란계 8
 
1.7%
오리 7
 
1.5%
염소 5
 
1.0%
산양 3
 
0.6%

사육두수(두)
Real number (ℝ)

Distinct138
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2701.2375
Minimum0
Maximum217000
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T18:43:32.144677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116.75
median40
Q390
95-th percentile13480
Maximum217000
Range217000
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation14013.64
Coefficient of variation (CV)5.1878593
Kurtosis123.95548
Mean2701.2375
Median Absolute Deviation (MAD)29
Skewness9.663211
Sum1296594
Variance1.9638211 × 108
MonotonicityNot monotonic
2023-12-12T18:43:32.322414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 29
 
6.0%
10 21
 
4.4%
50 19
 
4.0%
80 16
 
3.3%
30 15
 
3.1%
40 15
 
3.1%
15 15
 
3.1%
70 12
 
2.5%
7 11
 
2.3%
60 11
 
2.3%
Other values (128) 316
65.8%
ValueCountFrequency (%)
0 4
 
0.8%
1 1
 
0.2%
2 4
 
0.8%
3 5
1.0%
4 5
1.0%
5 10
2.1%
6 5
1.0%
7 11
2.3%
8 6
1.2%
9 1
 
0.2%
ValueCountFrequency (%)
217000 1
0.2%
100000 1
0.2%
85000 1
0.2%
70000 1
0.2%
65000 1
0.2%
57000 1
0.2%
54000 1
0.2%
50000 2
0.4%
45000 1
0.2%
40000 2
0.4%

농장소재지
Text

Distinct121
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T18:43:32.561091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length15.785417
Min length12

Characters and Unicode

Total characters7577
Distinct characters114
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

Unique42 ?
Unique (%)8.8%

Sample

1st row전라남도 순천시 낙안면 목촌리
2nd row전라남도 순천시 황전면 죽내리
3rd row전라남도 순천시 낙안면 창녕리
4th row전라남도 순천시 별량면 송기리
5th row전라남도 순천시 별량면 우산리
ValueCountFrequency (%)
전라남도 480
25.2%
순천시 480
25.2%
황전면 116
 
6.1%
낙안면 82
 
4.3%
월등면 50
 
2.6%
서면 39
 
2.0%
외서면 38
 
2.0%
창녕리 34
 
1.8%
별량면 34
 
1.8%
승주읍 30
 
1.6%
Other values (119) 521
27.4%
2023-12-12T18:43:33.019461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1424
18.8%
전 605
 
8.0%
천 493
 
6.5%
도 490
 
6.5%
남 482
 
6.4%
순 480
 
6.3%
시 480
 
6.3%
라 480
 
6.3%
리 462
 
6.1%
면 434
 
5.7%
Other values (104) 1747
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6153
81.2%
Space Separator 1424
 
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 605
 
9.8%
천 493
 
8.0%
도 490
 
8.0%
남 482
 
7.8%
순 480
 
7.8%
시 480
 
7.8%
라 480
 
7.8%
리 462
 
7.5%
면 434
 
7.1%
황 118
 
1.9%
Other values (103) 1629
26.5%
Space Separator
ValueCountFrequency (%)
1424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6153
81.2%
Common 1424
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 605
 
9.8%
천 493
 
8.0%
도 490
 
8.0%
남 482
 
7.8%
순 480
 
7.8%
시 480
 
7.8%
라 480
 
7.8%
리 462
 
7.5%
면 434
 
7.1%
황 118
 
1.9%
Other values (103) 1629
26.5%
Common
ValueCountFrequency (%)
1424
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6153
81.2%
ASCII 1424
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1424
100.0%
Hangul
ValueCountFrequency (%)
전 605
 
9.8%
천 493
 
8.0%
도 490
 
8.0%
남 482
 
7.8%
순 480
 
7.8%
시 480
 
7.8%
라 480
 
7.8%
리 462
 
7.5%
면 434
 
7.1%
황 118
 
1.9%
Other values (103) 1629
26.5%

Interactions

2023-12-12T18:43:29.210377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:43:33.111884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종명사육두수(두)
축종명1.0000.492
사육두수(두)0.4921.000
2023-12-12T18:43:33.209003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수(두)축종명
사육두수(두)1.0000.299
축종명0.2991.000

Missing values

2023-12-12T18:43:29.379893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:43:29.492792image/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

농장명농장주축종명사육두수(두)농장소재지
0성강목장김*택젖소130전라남도 순천시 낙안면 목촌리
1이조농장임*재육계65000전라남도 순천시 황전면 죽내리
2근우농장신*우한우12전라남도 순천시 낙안면 창녕리
3송정축산위*환한우40전라남도 순천시 별량면 송기리
4금호농장 2송*자육계50000전라남도 순천시 별량면 우산리
5소보농장박*범육계30000전라남도 순천시 서면 지본리
6성림농장김*수젖소88전라남도 순천시 외서면 반용리
7우리농장김*일육계26000전라남도 순천시 별량면 대룡리
8초원 농원문*일한우65전라남도 순천시 낙안면 동내리
9동내축산임*귀한우30전라남도 순천시 낙안면 교촌리
농장명농장주축종명사육두수(두)농장소재지
470두지목장김*석한우70전라남도 순천시 외서면 신덕리
471수영농장 비육장김*경돼지853전라남도 순천시 서면 대구리
472하연농장장*문한우50전라남도 순천시 월등면 농선리
473옥천농장조*규한우5전라남도 순천시 상사면 용암리
474제일농장장*주한우150전라남도 순천시 황전면 죽청리
475복경농장황*연한우50전라남도 순천시 황전면 내구리
476까치농장반*자한우30전라남도 순천시 해룡면 호두리
477대덕농장김*철한우143전라남도 순천시 월등면 송천리
478주헌농장이*헌한우250전라남도 순천시 월등면 농선리
479신성축산이*현한우40전라남도 순천시 해룡면 신성리