Overview

Dataset statistics

Number of variables8
Number of observations780
Missing cells311
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.9 KiB
Average record size in memory68.2 B

Variable types

Numeric4
Text3
Categorical1

Dataset

Description충청남도 아산시 축산농가현황으로 사업장명칭, 사육업종, 주소, 사육두수, 면적 등 내용이 표시됩니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=396&beforeMenuCd=DOM_000000201001001000&publicdatapk=15021611

Alerts

사육두수 is highly overall correlated with 동수 and 1 other fieldsHigh correlation
동수 is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
면적 is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
사업장소재지(도로명) has 311 (39.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:43:46.562277
Analysis finished2024-01-09 19:43:48.535198
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct780
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.5
Minimum1
Maximum780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-01-10T04:43:48.603099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.95
Q1195.75
median390.5
Q3585.25
95-th percentile741.05
Maximum780
Range779
Interquartile range (IQR)389.5

Descriptive statistics

Standard deviation225.3109
Coefficient of variation (CV)0.57698053
Kurtosis-1.2
Mean390.5
Median Absolute Deviation (MAD)195
Skewness0
Sum304590
Variance50765
MonotonicityStrictly increasing
2024-01-10T04:43:48.736727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
538 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
Other values (770) 770
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 (%)
780 1
0.1%
779 1
0.1%
778 1
0.1%
777 1
0.1%
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%

사업장명칭
Text

Distinct700
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-01-10T04:43:49.011573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length4
Mean length4.4269231
Min length2

Characters and Unicode

Total characters3453
Distinct characters319
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique635 ?
Unique (%)81.4%

Sample

1st row음봉양계장
2nd row신설목장
3rd row인수목장
4th row덕수목장
5th row아람농장
ValueCountFrequency (%)
대성농장 5
 
0.6%
농업회사법인 5
 
0.6%
농장 4
 
0.5%
한일농장 4
 
0.5%
대원목장 3
 
0.4%
덕수목장 3
 
0.4%
청양농장 3
 
0.4%
한우농장 3
 
0.4%
아산농장 3
 
0.4%
원영목장 3
 
0.4%
Other values (703) 772
95.5%
2024-01-10T04:43:49.358598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 707
20.5%
농 378
 
10.9%
목 365
 
10.6%
원 63
 
1.8%
성 53
 
1.5%
산 52
 
1.5%
사 39
 
1.1%
우 39
 
1.1%
영 39
 
1.1%
신 39
 
1.1%
Other values (309) 1679
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3381
97.9%
Space Separator 28
 
0.8%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Decimal Number 11
 
0.3%
Lowercase Letter 7
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 707
20.9%
농 378
 
11.2%
목 365
 
10.8%
원 63
 
1.9%
성 53
 
1.6%
산 52
 
1.5%
사 39
 
1.2%
우 39
 
1.2%
영 39
 
1.2%
신 39
 
1.2%
Other values (294) 1607
47.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
a 1
14.3%
y 1
14.3%
m 1
14.3%
k 1
14.3%
r 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
J 1
25.0%
O 1
25.0%
K 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 10
90.9%
1 1
 
9.1%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3381
97.9%
Common 61
 
1.8%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 707
20.9%
농 378
 
11.2%
목 365
 
10.8%
원 63
 
1.9%
성 53
 
1.6%
산 52
 
1.5%
사 39
 
1.2%
우 39
 
1.2%
영 39
 
1.2%
신 39
 
1.2%
Other values (294) 1607
47.5%
Latin
ValueCountFrequency (%)
o 2
18.2%
F 1
9.1%
J 1
9.1%
a 1
9.1%
y 1
9.1%
m 1
9.1%
k 1
9.1%
r 1
9.1%
O 1
9.1%
K 1
9.1%
Common
ValueCountFrequency (%)
28
45.9%
) 11
 
18.0%
( 11
 
18.0%
2 10
 
16.4%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3381
97.9%
ASCII 72
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 707
20.9%
농 378
 
11.2%
목 365
 
10.8%
원 63
 
1.9%
성 53
 
1.6%
산 52
 
1.5%
사 39
 
1.2%
우 39
 
1.2%
영 39
 
1.2%
신 39
 
1.2%
Other values (294) 1607
47.5%
ASCII
ValueCountFrequency (%)
28
38.9%
) 11
 
15.3%
( 11
 
15.3%
2 10
 
13.9%
o 2
 
2.8%
F 1
 
1.4%
J 1
 
1.4%
a 1
 
1.4%
y 1
 
1.4%
m 1
 
1.4%
Other values (5) 5
 
6.9%

주사육업종
Categorical

Distinct13
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
한우
362 
젖소
153 
돼지
99 
육계
52 
종계/산란계
39 
Other values (8)
75 

Length

Max length6
Median length2
Mean length2.2217949
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row종계/산란계
2nd row젖소
3rd row한우
4th row젖소
5th row한우

Common Values

ValueCountFrequency (%)
한우 362
46.4%
젖소 153
19.6%
돼지 99
 
12.7%
육계 52
 
6.7%
종계/산란계 39
 
5.0%
육우 24
 
3.1%
사슴 23
 
2.9%
종계업 15
 
1.9%
염소 6
 
0.8%
산양 4
 
0.5%
Other values (3) 3
 
0.4%

Length

2024-01-10T04:43:49.483957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 362
46.4%
젖소 153
19.6%
돼지 99
 
12.7%
육계 52
 
6.7%
종계/산란계 39
 
5.0%
육우 24
 
3.1%
사슴 23
 
2.9%
종계업 15
 
1.9%
염소 6
 
0.8%
산양 4
 
0.5%
Other values (3) 3
 
0.4%

사업장소재지(지번)
Text

Distinct758
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-01-10T04:43:49.766092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length25.587179
Min length18

Characters and Unicode

Total characters19958
Distinct characters144
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique737 ?
Unique (%)94.5%

Sample

1st row충청남도 아산시 음봉면 삼거리 183번지 5호
2nd row충청남도 아산시 송악면 수곡리 66번지 3호
3rd row충청남도 아산시 송악면 외암리 425번지 1호
4th row충청남도 아산시 둔포면 봉재리 440번지
5th row충청남도 아산시 둔포면 신양리 81번지
ValueCountFrequency (%)
충청남도 780
 
17.8%
아산시 780
 
17.8%
1호 150
 
3.4%
신창면 147
 
3.4%
음봉면 112
 
2.6%
영인면 103
 
2.4%
둔포면 101
 
2.3%
도고면 83
 
1.9%
2호 66
 
1.5%
선장면 61
 
1.4%
Other values (664) 1992
45.5%
2024-01-10T04:43:50.153807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5130
25.7%
도 876
 
4.4%
산 873
 
4.4%
남 829
 
4.2%
시 785
 
3.9%
청 784
 
3.9%
아 781
 
3.9%
충 780
 
3.9%
지 773
 
3.9%
번 766
 
3.8%
Other values (134) 7581
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12115
60.7%
Space Separator 5130
25.7%
Decimal Number 2697
 
13.5%
Dash Punctuation 11
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 876
 
7.2%
산 873
 
7.2%
남 829
 
6.8%
시 785
 
6.5%
청 784
 
6.5%
아 781
 
6.4%
충 780
 
6.4%
지 773
 
6.4%
번 766
 
6.3%
리 760
 
6.3%
Other values (119) 4108
33.9%
Decimal Number
ValueCountFrequency (%)
1 529
19.6%
2 420
15.6%
3 303
11.2%
4 280
10.4%
5 252
9.3%
6 233
8.6%
7 187
 
6.9%
8 185
 
6.9%
9 174
 
6.5%
0 134
 
5.0%
Space Separator
ValueCountFrequency (%)
5130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12115
60.7%
Common 7843
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 876
 
7.2%
산 873
 
7.2%
남 829
 
6.8%
시 785
 
6.5%
청 784
 
6.5%
아 781
 
6.4%
충 780
 
6.4%
지 773
 
6.4%
번 766
 
6.3%
리 760
 
6.3%
Other values (119) 4108
33.9%
Common
ValueCountFrequency (%)
5130
65.4%
1 529
 
6.7%
2 420
 
5.4%
3 303
 
3.9%
4 280
 
3.6%
5 252
 
3.2%
6 233
 
3.0%
7 187
 
2.4%
8 185
 
2.4%
9 174
 
2.2%
Other values (5) 150
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12115
60.7%
ASCII 7843
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5130
65.4%
1 529
 
6.7%
2 420
 
5.4%
3 303
 
3.9%
4 280
 
3.6%
5 252
 
3.2%
6 233
 
3.0%
7 187
 
2.4%
8 185
 
2.4%
9 174
 
2.2%
Other values (5) 150
 
1.9%
Hangul
ValueCountFrequency (%)
도 876
 
7.2%
산 873
 
7.2%
남 829
 
6.8%
시 785
 
6.5%
청 784
 
6.5%
아 781
 
6.4%
충 780
 
6.4%
지 773
 
6.4%
번 766
 
6.3%
리 760
 
6.3%
Other values (119) 4108
33.9%

사업장소재지(도로명)
Text

MISSING 

Distinct457
Distinct (%)97.4%
Missing311
Missing (%)39.9%
Memory size6.2 KiB
2024-01-10T04:43:50.353163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length23.908316
Min length18

Characters and Unicode

Total characters11213
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)94.9%

Sample

1st row충청남도 아산시 송악면 외암로 1137-31
2nd row충청남도 아산시 둔포면 충무로1313번길 22
3rd row충청남도 아산시 음봉면 율금8길 67
4th row충청남도 아산시 음봉면 연암율금로 178-33
5th row충청남도 아산시 신창면 서부북로764번길 40
ValueCountFrequency (%)
충청남도 469
20.0%
아산시 469
20.0%
신창면 93
 
4.0%
영인면 75
 
3.2%
음봉면 66
 
2.8%
둔포면 54
 
2.3%
도고면 45
 
1.9%
선장면 32
 
1.4%
염치읍 30
 
1.3%
배방읍 26
 
1.1%
Other values (634) 990
42.1%
2024-01-10T04:43:50.659851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1880
 
16.8%
산 549
 
4.9%
도 538
 
4.8%
남 497
 
4.4%
아 495
 
4.4%
충 488
 
4.4%
시 470
 
4.2%
청 469
 
4.2%
1 420
 
3.7%
면 409
 
3.6%
Other values (139) 4998
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6807
60.7%
Decimal Number 2218
 
19.8%
Space Separator 1880
 
16.8%
Dash Punctuation 272
 
2.4%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 549
 
8.1%
도 538
 
7.9%
남 497
 
7.3%
아 495
 
7.3%
충 488
 
7.2%
시 470
 
6.9%
청 469
 
6.9%
면 409
 
6.0%
길 382
 
5.6%
로 305
 
4.5%
Other values (121) 2205
32.4%
Decimal Number
ValueCountFrequency (%)
1 420
18.9%
2 303
13.7%
3 254
11.5%
4 215
9.7%
5 191
8.6%
6 181
8.2%
0 169
7.6%
9 166
 
7.5%
8 162
 
7.3%
7 157
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 15
93.8%
] 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 15
93.8%
[ 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
* 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6807
60.7%
Common 4406
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 549
 
8.1%
도 538
 
7.9%
남 497
 
7.3%
아 495
 
7.3%
충 488
 
7.2%
시 470
 
6.9%
청 469
 
6.9%
면 409
 
6.0%
길 382
 
5.6%
로 305
 
4.5%
Other values (121) 2205
32.4%
Common
ValueCountFrequency (%)
1880
42.7%
1 420
 
9.5%
2 303
 
6.9%
- 272
 
6.2%
3 254
 
5.8%
4 215
 
4.9%
5 191
 
4.3%
6 181
 
4.1%
0 169
 
3.8%
9 166
 
3.8%
Other values (8) 355
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6807
60.7%
ASCII 4406
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1880
42.7%
1 420
 
9.5%
2 303
 
6.9%
- 272
 
6.2%
3 254
 
5.8%
4 215
 
4.9%
5 191
 
4.3%
6 181
 
4.1%
0 169
 
3.8%
9 166
 
3.8%
Other values (8) 355
 
8.1%
Hangul
ValueCountFrequency (%)
산 549
 
8.1%
도 538
 
7.9%
남 497
 
7.3%
아 495
 
7.3%
충 488
 
7.2%
시 470
 
6.9%
청 469
 
6.9%
면 409
 
6.0%
길 382
 
5.6%
로 305
 
4.5%
Other values (121) 2205
32.4%

사육두수
Real number (ℝ)

HIGH CORRELATION 

Distinct277
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6766.7769
Minimum0
Maximum470000
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-01-10T04:43:50.780795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q127.75
median66.5
Q3400
95-th percentile42020.3
Maximum470000
Range470000
Interquartile range (IQR)372.25

Descriptive statistics

Standard deviation28514.207
Coefficient of variation (CV)4.2138535
Kurtosis124.3842
Mean6766.7769
Median Absolute Deviation (MAD)53.5
Skewness9.6316652
Sum5278086
Variance8.1305999 × 108
MonotonicityNot monotonic
2024-01-10T04:43:50.916430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 25
 
3.2%
50 24
 
3.1%
10 23
 
2.9%
20 18
 
2.3%
15 15
 
1.9%
17 12
 
1.5%
80 11
 
1.4%
70 11
 
1.4%
12 11
 
1.4%
60 11
 
1.4%
Other values (267) 619
79.4%
ValueCountFrequency (%)
0 4
0.5%
1 1
 
0.1%
2 3
 
0.4%
3 3
 
0.4%
4 5
0.6%
5 6
0.8%
6 8
1.0%
7 8
1.0%
8 8
1.0%
9 5
0.6%
ValueCountFrequency (%)
470000 1
0.1%
320000 1
0.1%
300000 1
0.1%
153000 1
0.1%
150336 1
0.1%
140000 1
0.1%
138600 1
0.1%
120000 1
0.1%
90000 1
0.1%
85000 1
0.1%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7910256
Minimum0
Maximum21
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-01-10T04:43:51.042507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3177988
Coefficient of variation (CV)0.83044699
Kurtosis10.492218
Mean2.7910256
Median Absolute Deviation (MAD)1
Skewness2.5632895
Sum2177
Variance5.3721915
MonotonicityNot monotonic
2024-01-10T04:43:51.195702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 265
34.0%
2 195
25.0%
3 120
15.4%
4 77
 
9.9%
5 39
 
5.0%
6 27
 
3.5%
7 20
 
2.6%
8 14
 
1.8%
9 8
 
1.0%
10 3
 
0.4%
Other values (7) 12
 
1.5%
ValueCountFrequency (%)
0 2
 
0.3%
1 265
34.0%
2 195
25.0%
3 120
15.4%
4 77
 
9.9%
5 39
 
5.0%
6 27
 
3.5%
7 20
 
2.6%
8 14
 
1.8%
9 8
 
1.0%
ValueCountFrequency (%)
21 1
 
0.1%
16 3
 
0.4%
15 1
 
0.1%
13 1
 
0.1%
12 2
 
0.3%
11 2
 
0.3%
10 3
 
0.4%
9 8
 
1.0%
8 14
1.8%
7 20
2.6%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct697
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1498.6914
Minimum0
Maximum24888
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-01-10T04:43:51.300145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile135.135
Q1430.5275
median1051.63
Q31924.335
95-th percentile4048.5365
Maximum24888
Range24888
Interquartile range (IQR)1493.8075

Descriptive statistics

Standard deviation1836.3227
Coefficient of variation (CV)1.2252841
Kurtosis44.079102
Mean1498.6914
Median Absolute Deviation (MAD)662.13
Skewness5.0860085
Sum1168979.3
Variance3372081.2
MonotonicityNot monotonic
2024-01-10T04:43:51.413771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 8
 
1.0%
396.0 7
 
0.9%
360.0 7
 
0.9%
397.0 5
 
0.6%
660.0 4
 
0.5%
1100.0 4
 
0.5%
132.0 4
 
0.5%
350.0 3
 
0.4%
700.0 3
 
0.4%
400.0 3
 
0.4%
Other values (687) 732
93.8%
ValueCountFrequency (%)
0.0 2
0.3%
16.5 1
0.1%
20.0 1
0.1%
30.0 1
0.1%
33.0 2
0.3%
37.5 1
0.1%
40.0 1
0.1%
47.0 1
0.1%
48.0 1
0.1%
50.0 1
0.1%
ValueCountFrequency (%)
24888.0 1
0.1%
13334.0 1
0.1%
13295.36 1
0.1%
12778.6 1
0.1%
12450.0 1
0.1%
11340.0 1
0.1%
10670.13 1
0.1%
10457.0 1
0.1%
10336.72 1
0.1%
10303.0 1
0.1%

Interactions

2024-01-10T04:43:47.812333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:46.980461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.262415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.544154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.892142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.056393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.339714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.618583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.975432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.123308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.402327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.684296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:48.288484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.190411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.470035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:43:47.746192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:43:51.489711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주사육업종사육두수동수면적
연번1.0000.5280.0780.2840.165
주사육업종0.5281.0000.6510.5030.349
사육두수0.0780.6511.0000.5200.764
동수0.2840.5030.5201.0000.743
면적0.1650.3490.7640.7431.000
2024-01-10T04:43:51.578341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사육두수동수면적주사육업종
연번1.000-0.217-0.290-0.1980.250
사육두수-0.2171.0000.6180.7350.392
동수-0.2900.6181.0000.6290.242
면적-0.1980.7350.6291.0000.170
주사육업종0.2500.3920.2420.1701.000

Missing values

2024-01-10T04:43:48.394246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:43:48.493800image/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

연번사업장명칭주사육업종사업장소재지(지번)사업장소재지(도로명)사육두수동수면적
01음봉양계장종계/산란계충청남도 아산시 음봉면 삼거리 183번지 5호<NA>180001951.6
12신설목장젖소충청남도 아산시 송악면 수곡리 66번지 3호<NA>323555.5
23인수목장한우충청남도 아산시 송악면 외암리 425번지 1호충청남도 아산시 송악면 외암로 1137-317032463.23
34덕수목장젖소충청남도 아산시 둔포면 봉재리 440번지충청남도 아산시 둔포면 충무로1313번길 2228433587.03
45아람농장한우충청남도 아산시 둔포면 신양리 81번지<NA>652785.26
56헌덕농장돼지충청남도 아산시 영인면 성내리 365번지<NA>71641003.25
67축복농장돼지충청남도 아산시 음봉면 쌍암리 산 24번지 6호<NA>8506881.89
78왕호농장돼지충청남도 아산시 음봉면 의식리 2번지 7호충청남도 아산시 음봉면 율금8길 67140061371.78
89햇살농장돼지충청남도 아산시 음봉면 의식리 423번지<NA>330053141.0
910중암농장돼지충청남도 아산시 음봉면 소동리 303번지 4호충청남도 아산시 음봉면 연암율금로 178-33250032402.0
연번사업장명칭주사육업종사업장소재지(지번)사업장소재지(도로명)사육두수동수면적
770771한흥농장종계업충청남도 아산시 배방읍 세교리 산 92번지 1호<NA>2420072397.0
771772연암산종축종돈업충청남도 아산시 음봉면 쌍룡리 13번지 2호<NA>250092749.11
772773농업회사법인 (주)한국원종 둔포농장종계업충청남도 아산시 둔포면 염작리 61번지 4호충청남도 아산시 둔포면 이화동길 13839000166360.15
773774신봉종계장종계업충청남도 아산시 영인면 신봉리 117번지 1호충청남도 아산시 영인면 윤보선로142번길 91730082331.97
774775야곱농장종계업충청남도 아산시 영인면 성내리 245번지충청남도 아산시 영인면 성내안길 138-384200043927.5
775776농업회사법인(주) 사조원 아산농장종계업충청남도 아산시 도고면 효자리 143번지 21호충청남도 아산시 도고면 벚꽃로708번길 963450054887.0
776777아산농장종계업충청남도 아산시 영인면 창용리 990번지 17호충청남도 아산시 영인면 아산호로 709-8583000812778.6
777778요한농장종계업충청남도 아산시 둔포면 산전리 196번지 1호<NA>1500031064.9
778779신법농장종계업충청남도 아산시 둔포면 신법리 68번지 5호충청남도 아산시 둔포면 윤보선로475번길 16-201700042441.3
779780장수농장종계업충청남도 아산시 음봉면 신정리 328번지충청남도 아산시 음봉면 충무로1141번길 84-331870043516.0