Overview

Dataset statistics

Number of variables10
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory84.6 B

Variable types

Categorical3
Text3
Numeric3
DateTime1

Dataset

Description경기도 용인시 가금류 축산 농가 현황입니다. 농장명, 축종명, 상세구분, 사육두수, 소재지주소 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2023-05-31
URLhttps://www.data.go.kr/data/15034971/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 축종명High correlation
축종명 is highly overall correlated with 위도High correlation
축종명 is highly imbalanced (76.7%)Imbalance
상세구분 is highly imbalanced (52.9%)Imbalance
사육두수 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 19:43:04.838669
Analysis finished2023-12-12 19:43:06.973709
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
용인시
84 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 84
100.0%

Length

2023-12-13T04:43:07.067724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:07.169951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용인시 84
100.0%

농장명
Text

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T04:43:07.418405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length4
Mean length4.9880952
Min length3

Characters and Unicode

Total characters419
Distinct characters136
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

Unique74 ?
Unique (%)88.1%

Sample

1st row계성농장
2nd row권일농장
3rd row금수농장
4th row금어농장
5th row김기범
ValueCountFrequency (%)
새한농원 2
 
2.2%
대박농장 2
 
2.2%
선진농장 2
 
2.2%
용인농장 2
 
2.2%
대성농장 2
 
2.2%
주식회사 2
 
2.2%
농업회사법인 2
 
2.2%
재복농장 1
 
1.1%
율애농장 1
 
1.1%
옥산농장 1
 
1.1%
Other values (72) 72
80.9%
2023-12-13T04:43:07.830885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 77
 
18.4%
장 70
 
16.7%
원 9
 
2.1%
인 8
 
1.9%
정 8
 
1.9%
산 8
 
1.9%
사 8
 
1.9%
유 7
 
1.7%
회 6
 
1.4%
한 5
 
1.2%
Other values (126) 213
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
97.1%
Space Separator 5
 
1.2%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 77
 
18.9%
장 70
 
17.2%
원 9
 
2.2%
인 8
 
2.0%
정 8
 
2.0%
산 8
 
2.0%
사 8
 
2.0%
유 7
 
1.7%
회 6
 
1.5%
한 5
 
1.2%
Other values (122) 201
49.4%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
97.1%
Common 12
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 77
 
18.9%
장 70
 
17.2%
원 9
 
2.2%
인 8
 
2.0%
정 8
 
2.0%
산 8
 
2.0%
사 8
 
2.0%
유 7
 
1.7%
회 6
 
1.5%
한 5
 
1.2%
Other values (122) 201
49.4%
Common
ValueCountFrequency (%)
5
41.7%
( 3
25.0%
) 3
25.0%
- 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
97.1%
ASCII 12
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 77
 
18.9%
장 70
 
17.2%
원 9
 
2.2%
인 8
 
2.0%
정 8
 
2.0%
산 8
 
2.0%
사 8
 
2.0%
유 7
 
1.7%
회 6
 
1.5%
한 5
 
1.2%
Other values (122) 201
49.4%
ASCII
ValueCountFrequency (%)
5
41.7%
( 3
25.0%
) 3
25.0%
- 1
 
8.3%

축종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
닭
79 
오리
 
4
메추리
 
1

Length

Max length3
Median length1
Mean length1.0714286
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
닭 79
94.0%
오리 4
 
4.8%
메추리 1
 
1.2%

Length

2023-12-13T04:43:07.983085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:08.098578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭 79
94.0%
오리 4
 
4.8%
메추리 1
 
1.2%

상세구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
육계
59 
산란계
22 
오리
 
1
<NA>
 
1
토종닭
 
1

Length

Max length4
Median length2
Mean length2.297619
Min length2

Unique

Unique3 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
육계 59
70.2%
산란계 22
 
26.2%
오리 1
 
1.2%
<NA> 1
 
1.2%
토종닭 1
 
1.2%

Length

2023-12-13T04:43:08.251815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:08.368455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 59
70.2%
산란계 22
 
26.2%
오리 1
 
1.2%
na 1
 
1.2%
토종닭 1
 
1.2%

사육두수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45880.238
Minimum0
Maximum360000
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:43:08.495233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile810
Q115000
median39500
Q354250
95-th percentile108330
Maximum360000
Range360000
Interquartile range (IQR)39250

Descriptive statistics

Standard deviation54036.255
Coefficient of variation (CV)1.1777675
Kurtosis16.646476
Mean45880.238
Median Absolute Deviation (MAD)20500
Skewness3.5914239
Sum3853940
Variance2.9199169 × 109
MonotonicityNot monotonic
2023-12-13T04:43:08.645424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
50000 10
 
11.9%
40000 6
 
7.1%
15000 5
 
6.0%
60000 5
 
6.0%
35000 4
 
4.8%
20000 3
 
3.6%
5000 3
 
3.6%
30000 3
 
3.6%
12000 2
 
2.4%
13000 2
 
2.4%
Other values (39) 41
48.8%
ValueCountFrequency (%)
0 1
 
1.2%
65 1
 
1.2%
80 1
 
1.2%
102 1
 
1.2%
600 1
 
1.2%
2000 1
 
1.2%
2300 1
 
1.2%
3000 1
 
1.2%
4000 1
 
1.2%
5000 3
3.6%
ValueCountFrequency (%)
360000 1
1.2%
270000 1
1.2%
200000 1
1.2%
140000 1
1.2%
109800 1
1.2%
100000 2
2.4%
85000 1
1.2%
84000 1
1.2%
79000 1
1.2%
76000 1
1.2%

소재지도로명주소
Text

Distinct81
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T04:43:08.992234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length26.702381
Min length21

Characters and Unicode

Total characters2243
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)94.0%

Sample

1st row경기도 용인시 처인구 백암면 덕평로26번길 109
2nd row경기도 용인시 처인구 남사면 방아로 49-38
3rd row경기도 용인시 처인구 이동읍 백옥대로260번길 32-8
4th row경기도 용인시 처인구 포곡읍 금어로430번길 24-24
5th row경기도 용인시 처인구 이동읍 묵리 809번지
ValueCountFrequency (%)
경기도 84
16.6%
용인시 84
16.6%
처인구 83
16.4%
백암면 25
 
4.9%
원삼면 20
 
4.0%
이동읍 16
 
3.2%
남사면 12
 
2.4%
삼백로 5
 
1.0%
양지면 4
 
0.8%
경기동로785번길 3
 
0.6%
Other values (147) 170
33.6%
2023-12-13T04:43:09.432425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
422
18.8%
인 168
 
7.5%
기 90
 
4.0%
경 89
 
4.0%
도 85
 
3.8%
시 85
 
3.8%
용 84
 
3.7%
처 84
 
3.7%
구 84
 
3.7%
1 82
 
3.7%
Other values (85) 970
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1382
61.6%
Space Separator 422
 
18.8%
Decimal Number 398
 
17.7%
Dash Punctuation 37
 
1.6%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 168
 
12.2%
기 90
 
6.5%
경 89
 
6.4%
도 85
 
6.2%
시 85
 
6.2%
용 84
 
6.1%
처 84
 
6.1%
구 84
 
6.1%
로 74
 
5.4%
면 61
 
4.4%
Other values (69) 478
34.6%
Decimal Number
ValueCountFrequency (%)
1 82
20.6%
2 64
16.1%
4 45
11.3%
8 43
10.8%
6 35
8.8%
5 34
8.5%
3 29
 
7.3%
0 28
 
7.0%
7 23
 
5.8%
9 15
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
E 1
33.3%
Q 1
33.3%
Space Separator
ValueCountFrequency (%)
422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1382
61.6%
Common 858
38.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 168
 
12.2%
기 90
 
6.5%
경 89
 
6.4%
도 85
 
6.2%
시 85
 
6.2%
용 84
 
6.1%
처 84
 
6.1%
구 84
 
6.1%
로 74
 
5.4%
면 61
 
4.4%
Other values (69) 478
34.6%
Common
ValueCountFrequency (%)
422
49.2%
1 82
 
9.6%
2 64
 
7.5%
4 45
 
5.2%
8 43
 
5.0%
- 37
 
4.3%
6 35
 
4.1%
5 34
 
4.0%
3 29
 
3.4%
0 28
 
3.3%
Other values (3) 39
 
4.5%
Latin
ValueCountFrequency (%)
B 1
33.3%
E 1
33.3%
Q 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1382
61.6%
ASCII 861
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
422
49.0%
1 82
 
9.5%
2 64
 
7.4%
4 45
 
5.2%
8 43
 
5.0%
- 37
 
4.3%
6 35
 
4.1%
5 34
 
3.9%
3 29
 
3.4%
0 28
 
3.3%
Other values (6) 42
 
4.9%
Hangul
ValueCountFrequency (%)
인 168
 
12.2%
기 90
 
6.5%
경 89
 
6.4%
도 85
 
6.2%
시 85
 
6.2%
용 84
 
6.1%
처 84
 
6.1%
구 84
 
6.1%
로 74
 
5.4%
면 61
 
4.4%
Other values (69) 478
34.6%

소재지지번주소
Text

Distinct82
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T04:43:09.751609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length27.047619
Min length21

Characters and Unicode

Total characters2272
Distinct characters101
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)96.4%

Sample

1st row경기도 용인시 처인구 백암면 백암리 72번지
2nd row경기도 용인시 처인구 남사면 방아리 169-8번지
3rd row경기도 용인시 처인구 이동읍 시미리 86-1번지
4th row경기도 용인시 처인구 포곡읍 금어리 327-2번지
5th row경기도 용인시 처인구 이동읍 묵리 809번지
ValueCountFrequency (%)
경기도 84
15.9%
용인시 84
15.9%
처인구 83
15.7%
백암면 25
 
4.7%
원삼면 20
 
3.8%
이동읍 16
 
3.0%
남사면 12
 
2.3%
박곡리 6
 
1.1%
석천리 5
 
0.9%
미평리 5
 
0.9%
Other values (142) 188
35.6%
2023-12-13T04:43:10.348451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
19.5%
인 167
 
7.4%
지 94
 
4.1%
용 85
 
3.7%
시 85
 
3.7%
기 85
 
3.7%
경 84
 
3.7%
도 84
 
3.7%
구 84
 
3.7%
처 83
 
3.7%
Other values (91) 977
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1449
63.8%
Space Separator 444
 
19.5%
Decimal Number 324
 
14.3%
Dash Punctuation 39
 
1.7%
Uppercase Letter 6
 
0.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 167
 
11.5%
지 94
 
6.5%
용 85
 
5.9%
시 85
 
5.9%
기 85
 
5.9%
경 84
 
5.8%
도 84
 
5.8%
구 84
 
5.8%
처 83
 
5.7%
번 82
 
5.7%
Other values (73) 516
35.6%
Decimal Number
ValueCountFrequency (%)
1 74
22.8%
2 45
13.9%
9 33
10.2%
8 31
9.6%
7 30
9.3%
5 26
 
8.0%
6 26
 
8.0%
4 24
 
7.4%
3 21
 
6.5%
0 14
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
E 2
33.3%
Q 2
33.3%
Space Separator
ValueCountFrequency (%)
444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1449
63.8%
Common 817
36.0%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 167
 
11.5%
지 94
 
6.5%
용 85
 
5.9%
시 85
 
5.9%
기 85
 
5.9%
경 84
 
5.8%
도 84
 
5.8%
구 84
 
5.8%
처 83
 
5.7%
번 82
 
5.7%
Other values (73) 516
35.6%
Common
ValueCountFrequency (%)
444
54.3%
1 74
 
9.1%
2 45
 
5.5%
- 39
 
4.8%
9 33
 
4.0%
8 31
 
3.8%
7 30
 
3.7%
5 26
 
3.2%
6 26
 
3.2%
4 24
 
2.9%
Other values (5) 45
 
5.5%
Latin
ValueCountFrequency (%)
B 2
33.3%
E 2
33.3%
Q 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1449
63.8%
ASCII 823
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
53.9%
1 74
 
9.0%
2 45
 
5.5%
- 39
 
4.7%
9 33
 
4.0%
8 31
 
3.8%
7 30
 
3.6%
5 26
 
3.2%
6 26
 
3.2%
4 24
 
2.9%
Other values (8) 51
 
6.2%
Hangul
ValueCountFrequency (%)
인 167
 
11.5%
지 94
 
6.5%
용 85
 
5.9%
시 85
 
5.9%
기 85
 
5.9%
경 84
 
5.8%
도 84
 
5.8%
구 84
 
5.8%
처 83
 
5.7%
번 82
 
5.7%
Other values (73) 516
35.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.163708
Minimum37.09985
Maximum37.308402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:43:10.502835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.09985
5-th percentile37.108291
Q137.131835
median37.162423
Q337.184599
95-th percentile37.244971
Maximum37.308402
Range0.20855163
Interquartile range (IQR)0.05276447

Descriptive statistics

Standard deviation0.045180811
Coefficient of variation (CV)0.001215724
Kurtosis1.6573442
Mean37.163708
Median Absolute Deviation (MAD)0.02480262
Skewness1.1668382
Sum3121.7514
Variance0.0020413057
MonotonicityNot monotonic
2023-12-13T04:43:10.668519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.11764943 3
 
3.6%
37.19677895 2
 
2.4%
37.17761696 1
 
1.2%
37.11390218 1
 
1.2%
37.18608117 1
 
1.2%
37.13939862 1
 
1.2%
37.09984993 1
 
1.2%
37.13576213 1
 
1.2%
37.14492622 1
 
1.2%
37.17694108 1
 
1.2%
Other values (71) 71
84.5%
ValueCountFrequency (%)
37.09984993 1
1.2%
37.10139765 1
1.2%
37.10548914 1
1.2%
37.10650342 1
1.2%
37.10826229 1
1.2%
37.10845578 1
1.2%
37.11051482 1
1.2%
37.11065391 1
1.2%
37.11390218 1
1.2%
37.11476533 1
1.2%
ValueCountFrequency (%)
37.30840156 1
1.2%
37.29956756 1
1.2%
37.29218283 1
1.2%
37.28104865 1
1.2%
37.24675625 1
1.2%
37.23485562 1
1.2%
37.23455461 1
1.2%
37.2310525 1
1.2%
37.22196784 1
1.2%
37.21427237 1
1.2%

경도
Real number (ℝ)

Distinct81
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.2834
Minimum127.09616
Maximum127.41266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:43:10.868357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.09616
5-th percentile127.12609
Q1127.20917
median127.30686
Q3127.36788
95-th percentile127.40216
Maximum127.41266
Range0.3165042
Interquartile range (IQR)0.15871145

Descriptive statistics

Standard deviation0.088779775
Coefficient of variation (CV)0.00069749691
Kurtosis-1.122382
Mean127.2834
Median Absolute Deviation (MAD)0.0740083
Skewness-0.31168003
Sum10691.805
Variance0.0078818484
MonotonicityNot monotonic
2023-12-13T04:43:11.066318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1194719 3
 
3.6%
127.3678836 2
 
2.4%
127.3784438 1
 
1.2%
127.3762199 1
 
1.2%
127.2130986 1
 
1.2%
127.4126608 1
 
1.2%
127.3972504 1
 
1.2%
127.3030918 1
 
1.2%
127.3613086 1
 
1.2%
127.3168516 1
 
1.2%
Other values (71) 71
84.5%
ValueCountFrequency (%)
127.0961566 1
 
1.2%
127.1194719 3
3.6%
127.1238289 1
 
1.2%
127.1389162 1
 
1.2%
127.157803 1
 
1.2%
127.1610446 1
 
1.2%
127.1624312 1
 
1.2%
127.168631 1
 
1.2%
127.1727402 1
 
1.2%
127.1739383 1
 
1.2%
ValueCountFrequency (%)
127.4126608 1
1.2%
127.4084737 1
1.2%
127.4056945 1
1.2%
127.4029082 1
1.2%
127.402305 1
1.2%
127.4013063 1
1.2%
127.3984747 1
1.2%
127.3972504 1
1.2%
127.3967154 1
1.2%
127.3964409 1
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-13T04:43:11.182576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:11.297750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:43:06.380272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:05.731056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:06.062945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:06.479977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:05.841450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:06.170634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:06.578360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:05.945788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:06.272342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:43:11.383275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도
농장명1.0001.0001.0000.9940.9970.9940.9150.888
축종명1.0001.0000.6730.2791.0001.0000.8190.255
상세구분1.0000.6731.0000.2180.9780.9500.3010.335
사육두수0.9940.2790.2181.0000.9940.9900.0000.117
소재지도로명주소0.9971.0000.9780.9941.0001.0001.0001.000
소재지지번주소0.9941.0000.9500.9901.0001.0001.0001.000
위도0.9150.8190.3010.0001.0001.0001.0000.802
경도0.8880.2550.3350.1171.0001.0000.8021.000
2023-12-13T04:43:11.504711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세구분축종명
상세구분1.0000.467
축종명0.4671.000
2023-12-13T04:43:11.616171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도축종명상세구분
사육두수1.000-0.3060.2180.1880.145
위도-0.3061.000-0.0150.6870.187
경도0.218-0.0151.0000.1460.195
축종명0.1880.6870.1461.0000.467
상세구분0.1450.1870.1950.4671.000

Missing values

2023-12-13T04:43:06.713784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:43:06.908484image/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

시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자
0용인시계성농장닭육계55000경기도 용인시 처인구 백암면 덕평로26번길 109경기도 용인시 처인구 백암면 백암리 72번지37.177617127.3784442023-05-31
1용인시권일농장닭육계36650경기도 용인시 처인구 남사면 방아로 49-38경기도 용인시 처인구 남사면 방아리 169-8번지37.117897127.1686312023-05-31
2용인시금수농장닭육계41000경기도 용인시 처인구 이동읍 백옥대로260번길 32-8경기도 용인시 처인구 이동읍 시미리 86-1번지37.161893127.2101572023-05-31
3용인시금어농장닭육계15000경기도 용인시 처인구 포곡읍 금어로430번길 24-24경기도 용인시 처인구 포곡읍 금어리 327-2번지37.281049127.255172023-05-31
4용인시김기범닭육계4000경기도 용인시 처인구 이동읍 묵리 809번지경기도 용인시 처인구 이동읍 묵리 809번지37.192775127.2329022023-05-31
5용인시김진성닭육계40000경기도 용인시 처인구 남사면 천덕산로111번길 88경기도 용인시 처인구 남사면 봉명리 617번지37.117649127.1194722023-05-31
6용인시꼬꼬농장닭육계50000경기도 용인시 처인구 원삼면 원양로442번길 203-15경기도 용인시 처인구 원삼면 가재월리 281번지37.179475127.3223972023-05-31
7용인시남사농장닭육계30000경기도 용인시 처인구 남사면 봉무로218번길 32경기도 용인시 처인구 남사면 봉무리 152-1번지37.132536127.1578032023-05-31
8용인시남산농장닭육계100000경기도 용인시 처인구 이동읍 어진로 892경기도 용인시 처인구 이동읍 어비리 321-11번지37.108456127.202712023-05-31
9용인시노동오리농장오리육계3000경기도 용인시 처인구 백암면 근곡리 산 36번지 7호경기도 용인시 처인구 백암면 근곡리 산 36번지 7호37.181395127.3570892023-05-31
시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자
74용인시평창농장닭육계2300경기도 용인시 처인구 양지면 평창로154번길 54경기도 용인시 처인구 양지면 평창리 181-1번지37.234555127.3227312023-05-31
75용인시평촌오리농장오리육계5000경기도 용인시 처인구 백암면 백봉로165번길 47경기도 용인시 처인구 백암면 백봉리 1135번지 3호37.150064127.3809192023-05-31
76용인시하나농장닭육계13000경기도 용인시 처인구 이동읍 백옥대로 121-14경기도 용인시 처인구 이동읍 화산리 658번지 1호37.149364127.2020752023-05-31
77용인시한백농장닭육계36280경기도 용인시 처인구 원삼면 미평로106번길 49경기도 용인시 처인구 원삼면 미평리 280번지37.185294127.3205042023-05-31
78용인시한정농장닭육계50000경기도 용인시 처인구 이동읍 이원로100번길 50경기도 용인시 처인구 이동읍 묵리 981-2번지 외 2필지(981-1,982-1)37.184584127.2188792023-05-31
79용인시한창농장닭육계54000경기도 용인시 처인구 백암면 삼백로828번길 72경기도 용인시 처인구 백암면 근삼리 227-2번지37.143427127.3771722023-05-31
80용인시해동유정란농장닭산란계60000경기도 용인시 처인구 백암면 삼백로573번길 23경기도 용인시 처인구 백암면 장평리 616-9번지 EQB37.12157127.3732832023-05-31
81용인시행복농장닭산란계12000경기도 용인시 처인구 원삼면 미평로106번길 50-12경기도 용인시 처인구 원삼면 미평리 294-1번지37.185367127.3226472023-05-31
82용인시황새울농장닭육계50000경기도 용인시 처인구 남사면 경기동로 456경기도 용인시 처인구 남사면 창리 549번지37.139066127.172742023-05-31
83용인시흰돌농장닭육계20000경기도 용인시 처인구 이동읍 백옥대로 287-8경기도 용인시 처인구 이동읍 덕성리 918번지 (외1필지(918-1))37.16328127.2051292023-05-31