Overview

Dataset statistics

Number of variables10
Number of observations30
Missing cells55
Missing cells (%)18.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory89.4 B

Variable types

Numeric3
Text3
Categorical4

Dataset

Description충청북도 내의 도축장 현황으로 연번, 도축장명, 소재지, 도축 허가가축, 도축 규모(소, 돼지, 닭, 오리, 기타) 및 정상영업 여부에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15113352/fileData.do

Alerts

도축 규모(오리) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
정상영업 여부 is highly overall correlated with 도축 규모(소) and 3 other fieldsHigh correlation
도축 허가가축 is highly overall correlated with 도축 규모(소) and 2 other fieldsHigh correlation
연번 is highly overall correlated with 도축 규모(오리) High correlation
도축 규모(소) is highly overall correlated with 도축 규모(돼지) and 2 other fieldsHigh correlation
도축 규모(돼지) is highly overall correlated with 도축 규모(소) and 2 other fieldsHigh correlation
도축 규모(기타) is highly overall correlated with 정상영업 여부High correlation
도축 규모(오리) is highly imbalanced (64.7%)Imbalance
도축 규모(기타) is highly imbalanced (56.1%)Imbalance
도축 규모(소) has 18 (60.0%) missing valuesMissing
도축 규모(돼지) has 13 (43.3%) missing valuesMissing
도축 규모(닭) has 24 (80.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:34:39.671167
Analysis finished2023-12-12 22:34:41.598980
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T07:34:41.668001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-13T07:34:41.779299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

도축장명
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T07:34:41.979503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length7
Min length4

Characters and Unicode

Total characters210
Distinct characters72
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)46.7%

Sample

1st row농협경제지주주식회사 음성축산물공판장
2nd row대성실업(주)
3rd row동아식품㈜
4th row동제천염소도축장
5th row예성실업
ValueCountFrequency (%)
충청산업 2
 
5.4%
한우영농조합법인맥우 2
 
5.4%
㈜박달재엘피씨 2
 
5.4%
충주공장 2
 
5.4%
사조산업㈜ 2
 
5.4%
㈜대산푸드 2
 
5.4%
한냉 2
 
5.4%
㈜팜스토리 2
 
5.4%
㈜팜스코 2
 
5.4%
㈜부농산업 2
 
5.4%
Other values (17) 17
45.9%
2023-12-13T07:34:42.312087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 20
 
9.5%
산 10
 
4.8%
업 9
 
4.3%
7
 
3.3%
주 7
 
3.3%
농 7
 
3.3%
리 5
 
2.4%
식 5
 
2.4%
장 5
 
2.4%
사 5
 
2.4%
Other values (62) 130
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
86.2%
Other Symbol 20
 
9.5%
Space Separator 7
 
3.3%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 10
 
5.5%
업 9
 
5.0%
주 7
 
3.9%
농 7
 
3.9%
리 5
 
2.8%
식 5
 
2.8%
장 5
 
2.8%
사 5
 
2.8%
우 5
 
2.8%
팜 5
 
2.8%
Other values (58) 118
65.2%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
95.7%
Common 9
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 20
 
10.0%
산 10
 
5.0%
업 9
 
4.5%
주 7
 
3.5%
농 7
 
3.5%
리 5
 
2.5%
식 5
 
2.5%
장 5
 
2.5%
사 5
 
2.5%
우 5
 
2.5%
Other values (59) 123
61.2%
Common
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
86.2%
None 20
 
9.5%
ASCII 9
 
4.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 20
100.0%
Hangul
ValueCountFrequency (%)
산 10
 
5.5%
업 9
 
5.0%
주 7
 
3.9%
농 7
 
3.9%
리 5
 
2.8%
식 5
 
2.8%
장 5
 
2.8%
사 5
 
2.8%
우 5
 
2.8%
팜 5
 
2.8%
Other values (58) 118
65.2%
ASCII
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

소재지
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T07:34:42.538616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.033333
Min length15

Characters and Unicode

Total characters601
Distinct characters84
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

Unique14 ?
Unique (%)46.7%

Sample

1st row음성군 삼성면 청용로 183-9 (상곡리)
2nd row충주시 하용두5길 45 (용두동)
3rd row청주시 흥덕구 사운로 391-1 (송절동)
4th row제천시 송학면 송학로 362
5th row충주시 중원대로 3749 (용관동)
ValueCountFrequency (%)
제천시 7
 
5.2%
음성군 7
 
5.2%
충주시 6
 
4.5%
청주시 5
 
3.7%
삼성면 5
 
3.7%
73 3
 
2.2%
진천군 3
 
2.2%
19 2
 
1.5%
군서면 2
 
1.5%
용두동 2
 
1.5%
Other values (65) 92
68.7%
2023-12-13T07:34:42.904819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
17.8%
1 23
 
3.8%
로 23
 
3.8%
) 20
 
3.3%
( 20
 
3.3%
성 18
 
3.0%
시 18
 
3.0%
3 18
 
3.0%
천 15
 
2.5%
군 14
 
2.3%
Other values (74) 325
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
55.7%
Decimal Number 112
 
18.6%
Space Separator 107
 
17.8%
Close Punctuation 20
 
3.3%
Open Punctuation 20
 
3.3%
Dash Punctuation 7
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 23
 
6.9%
성 18
 
5.4%
시 18
 
5.4%
천 15
 
4.5%
군 14
 
4.2%
청 14
 
4.2%
면 13
 
3.9%
주 13
 
3.9%
길 13
 
3.9%
리 10
 
3.0%
Other values (60) 184
54.9%
Decimal Number
ValueCountFrequency (%)
1 23
20.5%
3 18
16.1%
9 14
12.5%
4 12
10.7%
2 11
9.8%
5 9
 
8.0%
7 7
 
6.2%
8 6
 
5.4%
0 6
 
5.4%
6 6
 
5.4%
Space Separator
ValueCountFrequency (%)
107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
55.7%
Common 266
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 23
 
6.9%
성 18
 
5.4%
시 18
 
5.4%
천 15
 
4.5%
군 14
 
4.2%
청 14
 
4.2%
면 13
 
3.9%
주 13
 
3.9%
길 13
 
3.9%
리 10
 
3.0%
Other values (60) 184
54.9%
Common
ValueCountFrequency (%)
107
40.2%
1 23
 
8.6%
) 20
 
7.5%
( 20
 
7.5%
3 18
 
6.8%
9 14
 
5.3%
4 12
 
4.5%
2 11
 
4.1%
5 9
 
3.4%
7 7
 
2.6%
Other values (4) 25
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
55.7%
ASCII 266
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
40.2%
1 23
 
8.6%
) 20
 
7.5%
( 20
 
7.5%
3 18
 
6.8%
9 14
 
5.3%
4 12
 
4.5%
2 11
 
4.1%
5 9
 
3.4%
7 7
 
2.6%
Other values (4) 25
 
9.4%
Hangul
ValueCountFrequency (%)
로 23
 
6.9%
성 18
 
5.4%
시 18
 
5.4%
천 15
 
4.5%
군 14
 
4.2%
청 14
 
4.2%
면 13
 
3.9%
주 13
 
3.9%
길 13
 
3.9%
리 10
 
3.0%
Other values (60) 184
54.9%

도축 허가가축
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
닭
6 
소,돼지
5 
돼지
5 
양
4 
소, 돼지
3 
Other values (4)
7 

Length

Max length6
Median length5
Mean length2.7333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row소,돼지
2nd row돼지
3rd row소, 돼지
4th row양
5th row양

Common Values

ValueCountFrequency (%)
닭 6
20.0%
소,돼지 5
16.7%
돼지 5
16.7%
양 4
13.3%
소, 돼지 3
10.0%
돼지 2
 
6.7%
소, 돼지 2
 
6.7%
오리 2
 
6.7%
양, 사슴 1
 
3.3%

Length

2023-12-13T07:34:43.025929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:34:43.127984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돼지 12
33.3%
닭 6
16.7%
소,돼지 5
13.9%
양 5
13.9%
소 5
13.9%
오리 2
 
5.6%
사슴 1
 
2.8%

도축 규모(소)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)58.3%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean176.66667
Minimum20
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T07:34:43.225389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q173.75
median80
Q3187.5
95-th percentile525
Maximum800
Range780
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation217.46821
Coefficient of variation (CV)1.2309522
Kurtosis6.7569351
Mean176.66667
Median Absolute Deviation (MAD)60
Skewness2.472481
Sum2120
Variance47292.424
MonotonicityNot monotonic
2023-12-13T07:34:43.343919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20 2
 
6.7%
75 2
 
6.7%
80 2
 
6.7%
300 2
 
6.7%
150 2
 
6.7%
800 1
 
3.3%
70 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
20 2
6.7%
70 1
3.3%
75 2
6.7%
80 2
6.7%
150 2
6.7%
300 2
6.7%
800 1
3.3%
ValueCountFrequency (%)
800 1
3.3%
300 2
6.7%
150 2
6.7%
80 2
6.7%
75 2
6.7%
70 1
3.3%
20 2
6.7%

도축 규모(돼지)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)52.9%
Missing13
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean4705.8824
Minimum150
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T07:34:43.447630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile150
Q11200
median1500
Q31900
95-th percentile30000
Maximum30000
Range29850
Interquartile range (IQR)700

Descriptive statistics

Standard deviation9543.2057
Coefficient of variation (CV)2.0279312
Kurtosis5.358849
Mean4705.8824
Median Absolute Deviation (MAD)400
Skewness2.5849747
Sum80000
Variance91072776
MonotonicityNot monotonic
2023-12-13T07:34:43.554768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1500 3
 
10.0%
500 2
 
6.7%
1800 2
 
6.7%
150 2
 
6.7%
1900 2
 
6.7%
30000 2
 
6.7%
1200 2
 
6.7%
2000 1
 
3.3%
2400 1
 
3.3%
(Missing) 13
43.3%
ValueCountFrequency (%)
150 2
6.7%
500 2
6.7%
1200 2
6.7%
1500 3
10.0%
1800 2
6.7%
1900 2
6.7%
2000 1
 
3.3%
2400 1
 
3.3%
30000 2
6.7%
ValueCountFrequency (%)
30000 2
6.7%
2400 1
 
3.3%
2000 1
 
3.3%
1900 2
6.7%
1800 2
6.7%
1500 3
10.0%
1200 2
6.7%
500 2
6.7%
150 2
6.7%

도축 규모(닭)
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing24
Missing (%)80.0%
Memory size372.0 B
2023-12-13T07:34:43.700074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length6
Min length3

Characters and Unicode

Total characters36
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row150000
2nd row70000
3rd row300000
4th row64000
5th row130000
ValueCountFrequency (%)
150000 1
20.0%
70000 1
20.0%
300000 1
20.0%
64000 1
20.0%
130000 1
20.0%
2023-12-13T07:34:43.975788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20
55.6%
8
 
22.2%
1 2
 
5.6%
3 2
 
5.6%
5 1
 
2.8%
7 1
 
2.8%
6 1
 
2.8%
4 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
77.8%
Space Separator 8
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
71.4%
1 2
 
7.1%
3 2
 
7.1%
5 1
 
3.6%
7 1
 
3.6%
6 1
 
3.6%
4 1
 
3.6%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20
55.6%
8
 
22.2%
1 2
 
5.6%
3 2
 
5.6%
5 1
 
2.8%
7 1
 
2.8%
6 1
 
2.8%
4 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
55.6%
8
 
22.2%
1 2
 
5.6%
3 2
 
5.6%
5 1
 
2.8%
7 1
 
2.8%
6 1
 
2.8%
4 1
 
2.8%

도축 규모(오리)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
50000
 
2

Length

Max length5
Median length4
Mean length4.0666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
50000 2
 
6.7%

Length

2023-12-13T07:34:44.121695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:34:44.213750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
50000 2
 
6.7%

도축 규모(기타)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
25 
100
3 
50
 
1
200
 
1

Length

Max length4
Median length4
Mean length3.8
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row50
5th row200

Common Values

ValueCountFrequency (%)
<NA> 25
83.3%
100 3
 
10.0%
50 1
 
3.3%
200 1
 
3.3%

Length

2023-12-13T07:34:44.346166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:34:44.459224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
83.3%
100 3
 
10.0%
50 1
 
3.3%
200 1
 
3.3%

정상영업 여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
정상
26 
휴업
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row휴업
5th row정상

Common Values

ValueCountFrequency (%)
정상 26
86.7%
휴업 4
 
13.3%

Length

2023-12-13T07:34:44.553993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:34:44.636990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 26
86.7%
휴업 4
 
13.3%

Interactions

2023-12-13T07:34:40.865323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.109102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.483707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.952433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.241462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.614694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:41.066655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.369895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:34:40.756128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:34:44.966844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도축장명소재지도축 허가가축도축 규모(소)도축 규모(돼지)도축 규모(닭)도축 규모(기타)정상영업 여부
연번1.0000.2890.2890.6670.6220.1831.0000.0000.544
도축장명0.2891.0001.0001.0001.0001.0001.0001.0001.000
소재지0.2891.0001.0001.0001.0001.0001.0001.0001.000
도축 허가가축0.6671.0001.0001.0000.9240.571NaN0.0000.339
도축 규모(소)0.6221.0001.0000.9241.0001.000NaNNaNNaN
도축 규모(돼지)0.1831.0001.0000.5711.0001.000NaNNaNNaN
도축 규모(닭)1.0001.0001.000NaNNaNNaN1.000NaN1.000
도축 규모(기타)0.0001.0001.0000.000NaNNaNNaN1.0001.000
정상영업 여부0.5441.0001.0000.339NaNNaN1.0001.0001.000
2023-12-13T07:34:45.074317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도축 규모(기타)도축 규모(오리)정상영업 여부도축 허가가축
도축 규모(기타)1.000NaN0.8160.000
도축 규모(오리)NaN1.0001.0001.000
정상영업 여부0.8161.0001.0000.279
도축 허가가축0.0001.0000.2791.000
2023-12-13T07:34:45.165893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도축 규모(소)도축 규모(돼지)도축 허가가축도축 규모(오리)도축 규모(기타)정상영업 여부
연번1.0000.166-0.1330.3551.0000.0000.342
도축 규모(소)0.1661.0000.5370.6200.0000.0001.000
도축 규모(돼지)-0.1330.5371.0000.6300.0000.0001.000
도축 허가가축0.3550.6200.6301.0001.0000.0000.279
도축 규모(오리)1.0000.0000.0001.0001.0000.0001.000
도축 규모(기타)0.0000.0000.0000.0000.0001.0000.816
정상영업 여부0.3421.0001.0000.2791.0000.8161.000

Missing values

2023-12-13T07:34:41.207869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:34:41.403193image/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.
2023-12-13T07:34:41.524363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번도축장명소재지도축 허가가축도축 규모(소)도축 규모(돼지)도축 규모(닭)도축 규모(오리)도축 규모(기타)정상영업 여부
01농협경제지주주식회사 음성축산물공판장음성군 삼성면 청용로 183-9 (상곡리)소,돼지8002000<NA><NA><NA>정상
12대성실업(주)충주시 하용두5길 45 (용두동)돼지<NA>2400<NA><NA><NA>정상
23동아식품㈜청주시 흥덕구 사운로 391-1 (송절동)소, 돼지701500<NA><NA><NA>정상
34동제천염소도축장제천시 송학면 송학로 362양<NA><NA><NA><NA>50휴업
45예성실업충주시 중원대로 3749 (용관동)양<NA><NA><NA><NA>200정상
56제천염소도축장제천시 청풍호로20길 31 (산곡동)양, 사슴<NA><NA><NA><NA>100정상
67㈜대산푸드음성군 삼성면 금율로 349-36 (능산리)돼지20500<NA><NA><NA>정상
78㈜박달재엘피씨제천시 봉양읍 의암로 19 (연박리)소,돼지751800<NA><NA><NA>정상
89㈜부농산업제천시 강명길 73 (강제동)소,돼지80150<NA><NA><NA>정상
910㈜팜스코음성군 삼성면 대청로 54 (청용리)돼지<NA>1900<NA><NA><NA>정상
연번도축장명소재지도축 허가가축도축 규모(소)도축 규모(돼지)도축 규모(닭)도축 규모(오리)도축 규모(기타)정상영업 여부
2021한우영농조합법인맥우옥천군 군서면 성왕로 991 (월전리)소, 돼지1501200<NA><NA><NA>정상
2122사조산업㈜ 충주공장충주시 주덕읍 후삼로 541돼지<NA>1500<NA><NA><NA>정상
2223㈜씨에스코리아충주시 대소원면 완오길 232 (완오리 683)닭<NA><NA>150000<NA><NA>휴업
2324금보식품㈜제천시 청풍호로19안길 65 (산곡동)닭<NA><NA>70000<NA><NA>정상
2425㈜체리부로진천군 이월면 생거진천로 1770닭<NA><NA>300000<NA><NA>정상
2526㈜모란식품음성군 대소면 대금로105번길 106오리<NA><NA><NA>50000<NA>정상
2627㈜주원산오리진천군 광혜원면 진광로 941-5오리<NA><NA><NA>50000<NA>정상
2728㈜농협목우촌음성군 금왕읍 대금로1278번길 81닭<NA><NA>64000<NA><NA>정상
2829㈜청솔위드팜충주시 하용두3길 73 (용두동)닭<NA><NA>130000<NA><NA>휴업
2930농업회사법인 주식회사 들녁진천군 이월면 장수로 349닭<NA><NA><NA><NA>휴업