Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells5
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory87.9 B

Variable types

Categorical4
Text3
Numeric3

Dataset

Description가평군 관내 축산농장현황(가금류) : 농장명, 구분명, 소재지도로명주소, 축종명, 위도, 경도, 소재지우편번호, 소재지지번주소 등)에 관한 데이터 입니다.
Author경기도 가평군
URLhttps://www.data.go.kr/data/15029882/fileData.do

Alerts

시군명 has constant value ""Constant
축종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사육두수 is highly overall correlated with 상세구분High correlation
위도 is highly overall correlated with 상세구분High correlation
경도 is highly overall correlated with 상세구분High correlation
상세구분 is highly overall correlated with 사육두수 and 2 other fieldsHigh correlation
소재지도로명주소 has 5 (19.2%) missing valuesMissing
농장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:46:11.494854
Analysis finished2024-03-15 00:46:14.772881
Duration3.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
가평군
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 26
100.0%

Length

2024-03-15T09:46:14.990475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:46:15.284849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평군 26
100.0%

농장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T09:46:15.990692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.8461538
Min length2

Characters and Unicode

Total characters74
Distinct characters63
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

Unique26 ?
Unique (%)100.0%

Sample

1st row무백
2nd row새벽아침
3rd row영기
4th row주원
5th row커피먹인닭
ValueCountFrequency (%)
무백 1
 
3.7%
혁식 1
 
3.7%
상철 1
 
3.7%
산하 1
 
3.7%
해준 1
 
3.7%
웅추 1
 
3.7%
새벽숲 1
 
3.7%
밀마운트 1
 
3.7%
우리 1
 
3.7%
언덕 1
 
3.7%
Other values (17) 17
63.0%
2024-03-15T09:46:17.508889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 2
 
2.7%
오 2
 
2.7%
상 2
 
2.7%
마 2
 
2.7%
인 2
 
2.7%
기 2
 
2.7%
해 2
 
2.7%
산 2
 
2.7%
아 2
 
2.7%
벽 2
 
2.7%
Other values (53) 54
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
94.6%
Open Punctuation 1
 
1.4%
Space Separator 1
 
1.4%
Close Punctuation 1
 
1.4%
Decimal Number 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 2
 
2.9%
오 2
 
2.9%
상 2
 
2.9%
마 2
 
2.9%
인 2
 
2.9%
기 2
 
2.9%
해 2
 
2.9%
산 2
 
2.9%
아 2
 
2.9%
벽 2
 
2.9%
Other values (49) 50
71.4%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
94.6%
Common 4
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 2
 
2.9%
오 2
 
2.9%
상 2
 
2.9%
마 2
 
2.9%
인 2
 
2.9%
기 2
 
2.9%
해 2
 
2.9%
산 2
 
2.9%
아 2
 
2.9%
벽 2
 
2.9%
Other values (49) 50
71.4%
Common
ValueCountFrequency (%)
( 1
25.0%
1
25.0%
) 1
25.0%
2 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
94.6%
ASCII 4
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 2
 
2.9%
오 2
 
2.9%
상 2
 
2.9%
마 2
 
2.9%
인 2
 
2.9%
기 2
 
2.9%
해 2
 
2.9%
산 2
 
2.9%
아 2
 
2.9%
벽 2
 
2.9%
Other values (49) 50
71.4%
ASCII
ValueCountFrequency (%)
( 1
25.0%
1
25.0%
) 1
25.0%
2 1
25.0%

축종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
닭
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
닭 26
100.0%

Length

2024-03-15T09:46:17.935092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:46:18.245453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭 26
100.0%

상세구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size336.0 B
육계
14 
산란계
6 
웅추
6 

Length

Max length3
Median length2
Mean length2.2307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육계 14
53.8%
산란계 6
23.1%
웅추 6
23.1%

Length

2024-03-15T09:46:18.578416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:46:18.889535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 14
53.8%
산란계 6
23.1%
웅추 6
23.1%

사육두수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58905.385
Minimum440
Maximum230000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T09:46:19.217642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440
5-th percentile650
Q130000
median46150
Q380750
95-th percentile144750
Maximum230000
Range229560
Interquartile range (IQR)50750

Descriptive statistics

Standard deviation51336.003
Coefficient of variation (CV)0.87149933
Kurtosis3.9701694
Mean58905.385
Median Absolute Deviation (MAD)24500
Skewness1.667354
Sum1531540
Variance2.6353852 × 109
MonotonicityNot monotonic
2024-03-15T09:46:19.607250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30000 2
 
7.7%
90000 2
 
7.7%
45000 2
 
7.7%
230000 1
 
3.8%
91000 1
 
3.8%
155000 1
 
3.8%
81000 1
 
3.8%
1100 1
 
3.8%
440 1
 
3.8%
58000 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
440 1
3.8%
500 1
3.8%
1100 1
3.8%
2000 1
3.8%
22000 1
3.8%
26000 1
3.8%
30000 2
7.7%
31000 1
3.8%
32000 1
3.8%
34200 1
3.8%
ValueCountFrequency (%)
230000 1
3.8%
155000 1
3.8%
114000 1
3.8%
91000 1
3.8%
90000 2
7.7%
81000 1
3.8%
80000 1
3.8%
71000 1
3.8%
70000 1
3.8%
58000 1
3.8%

소재지도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing5
Missing (%)19.2%
Memory size336.0 B
2024-03-15T09:46:20.396298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length23.095238
Min length19

Characters and Unicode

Total characters485
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 석봉로3번길 160-58
2nd row경기도 가평군 가평읍 각담말길 115-10
3rd row경기도 가평군 가평읍 각담말길 151-32
4th row경기도 가평군 설악면 유명로 1028-95
5th row경기도 가평군 설악면 한서로210번길 103
ValueCountFrequency (%)
경기도 21
20.0%
가평군 21
20.0%
설악면 9
 
8.6%
북면 5
 
4.8%
화악지암길 5
 
4.8%
가평읍 3
 
2.9%
각담말길 2
 
1.9%
한서로210번길 2
 
1.9%
조종면 2
 
1.9%
양방가루재길 2
 
1.9%
Other values (31) 33
31.4%
2024-03-15T09:46:21.548555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
17.3%
2 26
 
5.4%
가 26
 
5.4%
평 25
 
5.2%
경 21
 
4.3%
도 21
 
4.3%
군 21
 
4.3%
기 21
 
4.3%
1 21
 
4.3%
길 18
 
3.7%
Other values (48) 201
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
57.1%
Decimal Number 106
 
21.9%
Space Separator 84
 
17.3%
Dash Punctuation 18
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 26
 
9.4%
평 25
 
9.0%
경 21
 
7.6%
도 21
 
7.6%
군 21
 
7.6%
기 21
 
7.6%
길 18
 
6.5%
면 18
 
6.5%
악 14
 
5.1%
설 9
 
3.2%
Other values (36) 83
30.0%
Decimal Number
ValueCountFrequency (%)
2 26
24.5%
1 21
19.8%
3 16
15.1%
0 9
 
8.5%
5 7
 
6.6%
8 7
 
6.6%
9 7
 
6.6%
6 7
 
6.6%
4 5
 
4.7%
7 1
 
0.9%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
57.1%
Common 208
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 26
 
9.4%
평 25
 
9.0%
경 21
 
7.6%
도 21
 
7.6%
군 21
 
7.6%
기 21
 
7.6%
길 18
 
6.5%
면 18
 
6.5%
악 14
 
5.1%
설 9
 
3.2%
Other values (36) 83
30.0%
Common
ValueCountFrequency (%)
84
40.4%
2 26
 
12.5%
1 21
 
10.1%
- 18
 
8.7%
3 16
 
7.7%
0 9
 
4.3%
5 7
 
3.4%
8 7
 
3.4%
9 7
 
3.4%
6 7
 
3.4%
Other values (2) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
57.1%
ASCII 208
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
40.4%
2 26
 
12.5%
1 21
 
10.1%
- 18
 
8.7%
3 16
 
7.7%
0 9
 
4.3%
5 7
 
3.4%
8 7
 
3.4%
9 7
 
3.4%
6 7
 
3.4%
Other values (2) 6
 
2.9%
Hangul
ValueCountFrequency (%)
가 26
 
9.4%
평 25
 
9.0%
경 21
 
7.6%
도 21
 
7.6%
군 21
 
7.6%
기 21
 
7.6%
길 18
 
6.5%
면 18
 
6.5%
악 14
 
5.1%
설 9
 
3.2%
Other values (36) 83
30.0%

소재지지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T09:46:22.246150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.653846
Min length19

Characters and Unicode

Total characters563
Distinct characters53
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 대곡리 594번지
2nd row경기도 가평군 가평읍 마장리 228-1번지
3rd row경기도 가평군 가평읍 마장리 209-2
4th row경기도 가평군 가평읍 상색리 337-2
5th row경기도 가평군 가평읍 승안리 448
ValueCountFrequency (%)
경기도 26
20.0%
가평군 26
20.0%
설악면 11
 
8.5%
북면 5
 
3.8%
화악리 5
 
3.8%
가평읍 5
 
3.8%
방일리 4
 
3.1%
위곡리 3
 
2.3%
조종면 3
 
2.3%
마장리 2
 
1.5%
Other values (39) 40
30.8%
2024-03-15T09:46:23.391129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
18.5%
평 32
 
5.7%
가 31
 
5.5%
경 26
 
4.6%
도 26
 
4.6%
군 26
 
4.6%
리 26
 
4.6%
기 26
 
4.6%
면 21
 
3.7%
번 20
 
3.6%
Other values (43) 225
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
61.5%
Space Separator 104
 
18.5%
Decimal Number 94
 
16.7%
Dash Punctuation 19
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 32
 
9.2%
가 31
 
9.0%
경 26
 
7.5%
도 26
 
7.5%
군 26
 
7.5%
리 26
 
7.5%
기 26
 
7.5%
면 21
 
6.1%
번 20
 
5.8%
지 20
 
5.8%
Other values (31) 92
26.6%
Decimal Number
ValueCountFrequency (%)
2 16
17.0%
1 16
17.0%
3 13
13.8%
4 10
10.6%
5 8
8.5%
9 7
7.4%
8 7
7.4%
6 7
7.4%
7 6
 
6.4%
0 4
 
4.3%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
61.5%
Common 217
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 32
 
9.2%
가 31
 
9.0%
경 26
 
7.5%
도 26
 
7.5%
군 26
 
7.5%
리 26
 
7.5%
기 26
 
7.5%
면 21
 
6.1%
번 20
 
5.8%
지 20
 
5.8%
Other values (31) 92
26.6%
Common
ValueCountFrequency (%)
104
47.9%
- 19
 
8.8%
2 16
 
7.4%
1 16
 
7.4%
3 13
 
6.0%
4 10
 
4.6%
5 8
 
3.7%
9 7
 
3.2%
8 7
 
3.2%
6 7
 
3.2%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
61.5%
ASCII 217
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
47.9%
- 19
 
8.8%
2 16
 
7.4%
1 16
 
7.4%
3 13
 
6.0%
4 10
 
4.6%
5 8
 
3.7%
9 7
 
3.2%
8 7
 
3.2%
6 7
 
3.2%
Other values (2) 10
 
4.6%
Hangul
ValueCountFrequency (%)
평 32
 
9.2%
가 31
 
9.0%
경 26
 
7.5%
도 26
 
7.5%
군 26
 
7.5%
리 26
 
7.5%
기 26
 
7.5%
면 21
 
6.1%
번 20
 
5.8%
지 20
 
5.8%
Other values (31) 92
26.6%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.772146
Minimum37.611371
Maximum37.944422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T09:46:23.612282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.611371
5-th percentile37.627246
Q137.646454
median37.793448
Q337.87926
95-th percentile37.944101
Maximum37.944422
Range0.3330515
Interquartile range (IQR)0.23280548

Descriptive statistics

Standard deviation0.12664411
Coefficient of variation (CV)0.0033528438
Kurtosis-1.7147097
Mean37.772146
Median Absolute Deviation (MAD)0.14247855
Skewness0.09831166
Sum982.07579
Variance0.01603873
MonotonicityNot monotonic
2024-03-15T09:46:23.839627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
37.8267742 1
 
3.8%
37.6454324 1
 
3.8%
37.944316 1
 
3.8%
37.943455 1
 
3.8%
37.9431715 1
 
3.8%
37.9444221 1
 
3.8%
37.943019 1
 
3.8%
37.8824664 1
 
3.8%
37.8190668 1
 
3.8%
37.8933407 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
37.6113706 1
3.8%
37.6262094 1
3.8%
37.6303559 1
3.8%
37.6312388 1
3.8%
37.634841 1
3.8%
37.6361763 1
3.8%
37.6454324 1
3.8%
37.6495204 1
3.8%
37.6524185 1
3.8%
37.6608906 1
3.8%
ValueCountFrequency (%)
37.9444221 1
3.8%
37.944316 1
3.8%
37.943455 1
3.8%
37.9431715 1
3.8%
37.943019 1
3.8%
37.8933407 1
3.8%
37.8824664 1
3.8%
37.8696403 1
3.8%
37.8684606 1
3.8%
37.8484278 1
3.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.49139
Minimum127.33751
Maximum127.57506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T09:46:24.367186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.33751
5-th percentile127.35577
Q1127.48345
median127.49855
Q3127.51739
95-th percentile127.57429
Maximum127.57506
Range0.2375553
Interquartile range (IQR)0.03394405

Descriptive statistics

Standard deviation0.06689439
Coefficient of variation (CV)0.0005246973
Kurtosis0.76626765
Mean127.49139
Median Absolute Deviation (MAD)0.0174304
Skewness-1.0520781
Sum3314.7762
Variance0.0044748594
MonotonicityNot monotonic
2024-03-15T09:46:24.758702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
127.4941747 1
 
3.8%
127.5207078 1
 
3.8%
127.5750639 1
 
3.8%
127.5736808 1
 
3.8%
127.5724992 1
 
3.8%
127.5744944 1
 
3.8%
127.5727048 1
 
3.8%
127.3522055 1
 
3.8%
127.3664455 1
 
3.8%
127.3686533 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
127.3375086 1
3.8%
127.3522055 1
3.8%
127.3664455 1
3.8%
127.3686533 1
3.8%
127.4749329 1
3.8%
127.4821417 1
3.8%
127.4833856 1
3.8%
127.4836469 1
3.8%
127.4879313 1
3.8%
127.4901011 1
3.8%
ValueCountFrequency (%)
127.5750639 1
3.8%
127.5744944 1
3.8%
127.5736808 1
3.8%
127.5727048 1
3.8%
127.5724992 1
3.8%
127.5207078 1
3.8%
127.5175258 1
3.8%
127.5170025 1
3.8%
127.514679 1
3.8%
127.5145236 1
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-02-26
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-26
2nd row2024-02-26
3rd row2024-02-26
4th row2024-02-26
5th row2024-02-26

Common Values

ValueCountFrequency (%)
2024-02-26 26
100.0%

Length

2024-03-15T09:46:24.978219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:46:25.206956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-26 26
100.0%

Interactions

2024-03-15T09:46:13.328231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:11.939173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:12.658433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:13.497233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:12.166265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:12.909759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:13.757514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:12.427493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:46:13.171711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:46:25.317220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농장명상세구분사육두수소재지도로명주소소재지지번주소위도경도
농장명1.0001.0001.0001.0001.0001.0001.000
상세구분1.0001.0000.8691.0001.0000.7720.900
사육두수1.0000.8691.0001.0001.0000.4780.470
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
위도1.0000.7720.4781.0001.0001.0000.849
경도1.0000.9000.4701.0001.0000.8491.000
2024-03-15T09:46:25.552737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도상세구분
사육두수1.0000.2360.4880.777
위도0.2361.0000.3210.600
경도0.4880.3211.0000.575
상세구분0.7770.6000.5751.000

Missing values

2024-03-15T09:46:14.103640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:46:14.585162image/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
0가평군무백닭육계30000경기도 가평군 가평읍 석봉로3번길 160-58경기도 가평군 가평읍 대곡리 594번지37.826774127.4941752024-02-26
1가평군새벽아침닭산란계22000경기도 가평군 가평읍 각담말길 115-10경기도 가평군 가평읍 마장리 228-1번지37.868461127.5146792024-02-26
2가평군영기닭웅추114000경기도 가평군 가평읍 각담말길 151-32경기도 가평군 가평읍 마장리 209-237.86964127.5145242024-02-26
3가평군주원닭산란계2000<NA>경기도 가평군 가평읍 상색리 337-237.791216127.4749332024-02-26
4가평군커피먹인닭닭산란계500<NA>경기도 가평군 가평읍 승안리 44837.848428127.4821422024-02-26
5가평군에덴2닭육계45000경기도 가평군 설악면 유명로 1028-95경기도 가평군 설악면 방일리 478-1번지37.630356127.4901012024-02-26
6가평군광신닭육계30000<NA>경기도 가평군 설악면 위곡리 373-337.652419127.5170032024-02-26
7가평군창현닭육계26000경기도 가평군 설악면 한서로210번길 103경기도 가평군 설악면 위곡리 461-2번지37.660891127.5175262024-02-26
8가평군해진닭육계34200경기도 가평군 설악면 한서로156번길 23-22경기도 가평군 설악면 창의리 156-1번지37.667727127.508132024-02-26
9가평군치상닭육계45000<NA>경기도 가평군 설악면 천안리 126-137.634841127.4833862024-02-26
시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자
16가평군오성닭육계47300경기도 가평군 상면 아랫벌길 22-48경기도 가평군 상면 태봉리 28-1번지37.795679127.3375092024-02-26
17가평군언덕닭육계70000경기도 가평군 상면 태봉골길 135-29경기도 가평군 청평면 고성리 438-6번지37.716155127.5009712024-02-26
18가평군우리닭육계58000경기도 가평군 조종면 명지산로 224경기도 가평군 조종면 상판리 358-1번지37.893341127.3686532024-02-26
19가평군밀마운트닭산란계440<NA>경기도 가평군 조종면 대보리 419-12737.819067127.3664452024-02-26
20가평군새벽숲닭산란계1100경기도 가평군 조종면 꽃동네길 19-26경기도 가평군 조종면 운악리 530번지37.882466127.3522052024-02-26
21가평군웅추닭웅추81000경기도 가평군 북면 화악지암길 223-85경기도 가평군 북면 화악리 269-1번지37.943019127.5727052024-02-26
22가평군해준닭웅추90000경기도 가평군 북면 화악지암길 223-141경기도 가평군 북면 화악리 257번지37.944422127.5744942024-02-26
23가평군산하닭웅추155000경기도 가평군 북면 화악지암길 223-83경기도 가평군 북면 화악리 269-2번지37.943171127.5724992024-02-26
24가평군상철닭웅추91000경기도 가평군 북면 화악지암길 223-109경기도 가평군 북면 화악리 270-3번지37.943455127.5736812024-02-26
25가평군마장닭웅추90000경기도 가평군 북면 화악지암길 223-16경기도 가평군 북면 화악리 255번지37.944316127.5750642024-02-26