Overview

Dataset statistics

Number of variables11
Number of observations110
Missing cells170
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory93.2 B

Variable types

Categorical4
Text3
Numeric3
Unsupported1

Dataset

Description경기도 여주시의 가금류 농장 현황 데이터입니다. 농장명, 축종명, 사육두수, 소재지도로명주소, 소재지지번주소, 위도, 경도 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15100684/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상세구분 is highly overall correlated with 축종명High correlation
축종명 is highly overall correlated with 상세구분High correlation
축종명 is highly imbalanced (54.8%)Imbalance
소재지도로명주소 has 14 (12.7%) missing valuesMissing
위도 has 23 (20.9%) missing valuesMissing
경도 has 23 (20.9%) missing valuesMissing
비고 has 110 (100.0%) missing valuesMissing
소재지지번주소 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사육두수 has 3 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-12 16:00:35.192527
Analysis finished2023-12-12 16:00:36.885998
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
여주시
110 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 110
100.0%

Length

2023-12-13T01:00:36.943418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:37.025473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 110
100.0%

농장명
Text

Distinct106
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-13T01:00:37.231599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length4
Mean length5.0636364
Min length3

Characters and Unicode

Total characters557
Distinct characters156
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

Unique102 ?
Unique (%)92.7%

Sample

1st row농업회사법인 상신농장 유한회사
2nd row자연농장
3rd row아리농장
4th row산촌농장
5th row영지양계장
ValueCountFrequency (%)
농업회사법인 6
 
4.9%
대성농장 2
 
1.6%
계림에그스 2
 
1.6%
한솔농장 2
 
1.6%
유한회사 2
 
1.6%
제일농장 2
 
1.6%
명상농원 1
 
0.8%
다온농장 1
 
0.8%
성화농장 1
 
0.8%
도리양계장 1
 
0.8%
Other values (103) 103
83.7%
2023-12-13T01:00:37.598876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 105
 
18.9%
장 100
 
18.0%
13
 
2.3%
회 9
 
1.6%
원 9
 
1.6%
주 9
 
1.6%
사 9
 
1.6%
리 8
 
1.4%
대 8
 
1.4%
산 7
 
1.3%
Other values (146) 280
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
95.7%
Space Separator 13
 
2.3%
Decimal Number 4
 
0.7%
Uppercase Letter 3
 
0.5%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 105
19.7%
장 100
 
18.8%
회 9
 
1.7%
원 9
 
1.7%
주 9
 
1.7%
사 9
 
1.7%
리 8
 
1.5%
대 8
 
1.5%
산 7
 
1.3%
한 7
 
1.3%
Other values (138) 262
49.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
J 1
33.3%
C 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
95.7%
Common 21
 
3.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 105
19.7%
장 100
 
18.8%
회 9
 
1.7%
원 9
 
1.7%
주 9
 
1.7%
사 9
 
1.7%
리 8
 
1.5%
대 8
 
1.5%
산 7
 
1.3%
한 7
 
1.3%
Other values (138) 262
49.2%
Common
ValueCountFrequency (%)
13
61.9%
( 2
 
9.5%
1 2
 
9.5%
) 2
 
9.5%
2 2
 
9.5%
Latin
ValueCountFrequency (%)
M 1
33.3%
J 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
95.7%
ASCII 24
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 105
19.7%
장 100
 
18.8%
회 9
 
1.7%
원 9
 
1.7%
주 9
 
1.7%
사 9
 
1.7%
리 8
 
1.5%
대 8
 
1.5%
산 7
 
1.3%
한 7
 
1.3%
Other values (138) 262
49.2%
ASCII
ValueCountFrequency (%)
13
54.2%
( 2
 
8.3%
1 2
 
8.3%
) 2
 
8.3%
2 2
 
8.3%
M 1
 
4.2%
J 1
 
4.2%
C 1
 
4.2%

축종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
닭
94 
메추리
12 
오리
 
4

Length

Max length3
Median length1
Mean length1.2545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
닭 94
85.5%
메추리 12
 
10.9%
오리 4
 
3.6%

Length

2023-12-13T01:00:37.751197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:37.850953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭 94
85.5%
메추리 12
 
10.9%
오리 4
 
3.6%

상세구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
육계
62 
산란계
32 
<NA>
16 

Length

Max length4
Median length2
Mean length2.5818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육계 62
56.4%
산란계 32
29.1%
<NA> 16
 
14.5%

Length

2023-12-13T01:00:37.955300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:38.065954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 62
56.4%
산란계 32
29.1%
na 16
 
14.5%

사육두수
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56675.336
Minimum0
Maximum389587
Zeros3
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:38.187271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q117750
median40000
Q368250
95-th percentile160000
Maximum389587
Range389587
Interquartile range (IQR)50500

Descriptive statistics

Standard deviation68838.001
Coefficient of variation (CV)1.2146024
Kurtosis10.287369
Mean56675.336
Median Absolute Deviation (MAD)23000
Skewness2.9268787
Sum6234287
Variance4.7386703 × 109
MonotonicityNot monotonic
2023-12-13T01:00:38.344084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 11
 
10.0%
50000 10
 
9.1%
45000 7
 
6.4%
100000 6
 
5.5%
25000 5
 
4.5%
40000 5
 
4.5%
0 3
 
2.7%
60000 3
 
2.7%
15000 3
 
2.7%
70000 3
 
2.7%
Other values (46) 54
49.1%
ValueCountFrequency (%)
0 3
2.7%
30 1
 
0.9%
50 1
 
0.9%
80 2
1.8%
100 1
 
0.9%
200 1
 
0.9%
250 1
 
0.9%
300 1
 
0.9%
1000 1
 
0.9%
1500 1
 
0.9%
ValueCountFrequency (%)
389587 1
0.9%
360000 1
0.9%
350000 1
0.9%
260000 1
0.9%
200000 1
0.9%
160000 2
1.8%
150000 2
1.8%
130000 1
0.9%
120269 1
0.9%
120000 1
0.9%

소재지도로명주소
Text

MISSING 

Distinct95
Distinct (%)99.0%
Missing14
Missing (%)12.7%
Memory size1012.0 B
2023-12-13T01:00:38.708250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length21.395833
Min length16

Characters and Unicode

Total characters2054
Distinct characters117
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

Unique94 ?
Unique (%)97.9%

Sample

1st row경기도 여주시 가남읍 김대1길 40
2nd row경기도 여주시 가남읍 신해1길 95-48
3rd row경기도 여주시 가남읍 상활2길 83-118
4th row경기도 여주시 가남읍 신해1길 95-75
5th row경기도 여주시 가남읍 상활2길 83-103
ValueCountFrequency (%)
경기도 96
20.0%
여주시 96
20.0%
흥천면 24
 
5.0%
대신면 14
 
2.9%
가남읍 12
 
2.5%
세종대왕면 10
 
2.1%
점동면 10
 
2.1%
강천면 8
 
1.7%
북내면 8
 
1.7%
능북로 5
 
1.0%
Other values (159) 196
40.9%
2023-12-13T01:00:39.698545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
19.2%
여 106
 
5.2%
주 101
 
4.9%
도 99
 
4.8%
경 97
 
4.7%
기 96
 
4.7%
시 96
 
4.7%
면 78
 
3.8%
1 73
 
3.6%
- 61
 
3.0%
Other values (107) 852
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1196
58.2%
Space Separator 395
 
19.2%
Decimal Number 393
 
19.1%
Dash Punctuation 61
 
3.0%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 106
 
8.9%
주 101
 
8.4%
도 99
 
8.3%
경 97
 
8.1%
기 96
 
8.0%
시 96
 
8.0%
면 78
 
6.5%
길 55
 
4.6%
로 41
 
3.4%
천 34
 
2.8%
Other values (92) 393
32.9%
Decimal Number
ValueCountFrequency (%)
1 73
18.6%
2 52
13.2%
4 48
12.2%
3 43
10.9%
7 36
9.2%
5 31
7.9%
9 30
7.6%
6 30
7.6%
8 27
 
6.9%
0 23
 
5.9%
Space Separator
ValueCountFrequency (%)
395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1196
58.2%
Common 858
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 106
 
8.9%
주 101
 
8.4%
도 99
 
8.3%
경 97
 
8.1%
기 96
 
8.0%
시 96
 
8.0%
면 78
 
6.5%
길 55
 
4.6%
로 41
 
3.4%
천 34
 
2.8%
Other values (92) 393
32.9%
Common
ValueCountFrequency (%)
395
46.0%
1 73
 
8.5%
- 61
 
7.1%
2 52
 
6.1%
4 48
 
5.6%
3 43
 
5.0%
7 36
 
4.2%
5 31
 
3.6%
9 30
 
3.5%
6 30
 
3.5%
Other values (5) 59
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1196
58.2%
ASCII 858
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
46.0%
1 73
 
8.5%
- 61
 
7.1%
2 52
 
6.1%
4 48
 
5.6%
3 43
 
5.0%
7 36
 
4.2%
5 31
 
3.6%
9 30
 
3.5%
6 30
 
3.5%
Other values (5) 59
 
6.9%
Hangul
ValueCountFrequency (%)
여 106
 
8.9%
주 101
 
8.4%
도 99
 
8.3%
경 97
 
8.1%
기 96
 
8.0%
시 96
 
8.0%
면 78
 
6.5%
길 55
 
4.6%
로 41
 
3.4%
천 34
 
2.8%
Other values (92) 393
32.9%

소재지지번주소
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-13T01:00:40.146192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21.127273
Min length14

Characters and Unicode

Total characters2324
Distinct characters102
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row경기도 여주시 가남읍 금당리 606
2nd row경기도 여주시 가남읍 삼군리 16
3rd row경기도 여주시 가남읍 신해리 219
4th row경기도 여주시 가남읍 신해리 495
5th row경기도 여주시 가남읍 신해리 496
ValueCountFrequency (%)
경기도 110
19.9%
여주시 110
19.9%
흥천면 26
 
4.7%
대신면 17
 
3.1%
가남읍 14
 
2.5%
세종대왕면 14
 
2.5%
점동면 11
 
2.0%
산 10
 
1.8%
강천면 9
 
1.6%
북내면 8
 
1.4%
Other values (159) 225
40.6%
2023-12-13T01:00:40.733550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
690
29.7%
도 113
 
4.9%
주 111
 
4.8%
경 110
 
4.7%
여 110
 
4.7%
시 110
 
4.7%
기 110
 
4.7%
리 103
 
4.4%
면 89
 
3.8%
대 52
 
2.2%
Other values (92) 726
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1333
57.4%
Space Separator 690
29.7%
Decimal Number 301
 
13.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 113
 
8.5%
주 111
 
8.3%
경 110
 
8.3%
여 110
 
8.3%
시 110
 
8.3%
기 110
 
8.3%
리 103
 
7.7%
면 89
 
6.7%
대 52
 
3.9%
천 36
 
2.7%
Other values (81) 389
29.2%
Decimal Number
ValueCountFrequency (%)
2 43
14.3%
4 43
14.3%
1 42
14.0%
3 36
12.0%
6 35
11.6%
5 32
10.6%
8 21
7.0%
9 20
6.6%
0 18
6.0%
7 11
 
3.7%
Space Separator
ValueCountFrequency (%)
690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1333
57.4%
Common 991
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 113
 
8.5%
주 111
 
8.3%
경 110
 
8.3%
여 110
 
8.3%
시 110
 
8.3%
기 110
 
8.3%
리 103
 
7.7%
면 89
 
6.7%
대 52
 
3.9%
천 36
 
2.7%
Other values (81) 389
29.2%
Common
ValueCountFrequency (%)
690
69.6%
2 43
 
4.3%
4 43
 
4.3%
1 42
 
4.2%
3 36
 
3.6%
6 35
 
3.5%
5 32
 
3.2%
8 21
 
2.1%
9 20
 
2.0%
0 18
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1333
57.4%
ASCII 991
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
690
69.6%
2 43
 
4.3%
4 43
 
4.3%
1 42
 
4.2%
3 36
 
3.6%
6 35
 
3.5%
5 32
 
3.2%
8 21
 
2.1%
9 20
 
2.0%
0 18
 
1.8%
Hangul
ValueCountFrequency (%)
도 113
 
8.5%
주 111
 
8.3%
경 110
 
8.3%
여 110
 
8.3%
시 110
 
8.3%
기 110
 
8.3%
리 103
 
7.7%
면 89
 
6.7%
대 52
 
3.9%
천 36
 
2.7%
Other values (81) 389
29.2%

위도
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)98.9%
Missing23
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean37.308664
Minimum37.168754
Maximum37.408581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:40.909706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.168754
5-th percentile37.185883
Q137.235866
median37.330796
Q337.36492
95-th percentile37.399388
Maximum37.408581
Range0.23982679
Interquartile range (IQR)0.12905478

Descriptive statistics

Standard deviation0.070751076
Coefficient of variation (CV)0.0018963712
Kurtosis-1.1582183
Mean37.308664
Median Absolute Deviation (MAD)0.057021967
Skewness-0.40196589
Sum3245.8538
Variance0.0050057148
MonotonicityNot monotonic
2023-12-13T01:00:41.077430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2645477377 2
 
1.8%
37.2294927064 1
 
0.9%
37.33604333 1
 
0.9%
37.3366443457 1
 
0.9%
37.3174559318 1
 
0.9%
37.2387809439 1
 
0.9%
37.1867868566 1
 
0.9%
37.2055398531 1
 
0.9%
37.2067781073 1
 
0.9%
37.2271806343 1
 
0.9%
Other values (76) 76
69.1%
(Missing) 23
 
20.9%
ValueCountFrequency (%)
37.1687537443 1
0.9%
37.1765969266 1
0.9%
37.1805883905 1
0.9%
37.184946211 1
0.9%
37.1854962308 1
0.9%
37.1867868566 1
0.9%
37.1988276934 1
0.9%
37.1996550236 1
0.9%
37.2055398531 1
0.9%
37.2067781073 1
0.9%
ValueCountFrequency (%)
37.4085805295 1
0.9%
37.4065612109 1
0.9%
37.4041204891 1
0.9%
37.4040451941 1
0.9%
37.4000269566 1
0.9%
37.3978972406 1
0.9%
37.3961924743 1
0.9%
37.3955572197 1
0.9%
37.3953156158 1
0.9%
37.3934531569 1
0.9%

경도
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)98.9%
Missing23
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean127.59963
Minimum127.43395
Maximum127.74048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:00:41.217703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.43395
5-th percentile127.50602
Q1127.54163
median127.58919
Q3127.67145
95-th percentile127.70702
Maximum127.74048
Range0.30652854
Interquartile range (IQR)0.12982112

Descriptive statistics

Standard deviation0.073199529
Coefficient of variation (CV)0.00057366567
Kurtosis-0.80764398
Mean127.59963
Median Absolute Deviation (MAD)0.055060712
Skewness0.020184993
Sum11101.168
Variance0.005358171
MonotonicityNot monotonic
2023-12-13T01:00:41.376783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.6150091902 2
 
1.8%
127.6755782938 1
 
0.9%
127.5199634545 1
 
0.9%
127.5265157637 1
 
0.9%
127.6423032219 1
 
0.9%
127.6724012204 1
 
0.9%
127.6906441309 1
 
0.9%
127.6534271111 1
 
0.9%
127.6545112159 1
 
0.9%
127.6624238191 1
 
0.9%
Other values (76) 76
69.1%
(Missing) 23
 
20.9%
ValueCountFrequency (%)
127.4339515673 1
0.9%
127.4367365325 1
0.9%
127.4387304929 1
0.9%
127.4989415162 1
0.9%
127.505102646 1
0.9%
127.5081455581 1
0.9%
127.5152686173 1
0.9%
127.519938968 1
0.9%
127.5199634545 1
0.9%
127.5224713917 1
0.9%
ValueCountFrequency (%)
127.7404801098 1
0.9%
127.7331135672 1
0.9%
127.7188180828 1
0.9%
127.7137167354 1
0.9%
127.7081137762 1
0.9%
127.7044834904 1
0.9%
127.7031999321 1
0.9%
127.6979039818 1
0.9%
127.6957148688 1
0.9%
127.6932490624 1
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-06-15
110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-15
2nd row2023-06-15
3rd row2023-06-15
4th row2023-06-15
5th row2023-06-15

Common Values

ValueCountFrequency (%)
2023-06-15 110
100.0%

Length

2023-12-13T01:00:41.561470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:41.674576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-15 110
100.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

Interactions

2023-12-13T01:00:36.206882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:35.598366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:35.919170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.309414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:35.705132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.026053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.416312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:35.810536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.107915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:00:41.750921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종명상세구분사육두수소재지도로명주소위도경도
축종명1.000NaN0.4201.0000.3750.568
상세구분NaN1.0000.3831.0000.0000.239
사육두수0.4200.3831.0001.0000.1640.319
소재지도로명주소1.0001.0001.0001.0001.0001.000
위도0.3750.0000.1641.0001.0000.512
경도0.5680.2390.3191.0000.5121.000
2023-12-13T01:00:41.859243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세구분축종명
상세구분1.0001.000
축종명1.0001.000
2023-12-13T01:00:41.958602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도축종명상세구분
사육두수1.0000.085-0.1390.1970.367
위도0.0851.000-0.2360.2300.000
경도-0.139-0.2361.0000.2890.224
축종명0.1970.2300.2891.0001.000
상세구분0.3670.0000.2241.0001.000

Missing values

2023-12-13T01:00:36.578853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:36.719050image/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.
2023-12-13T01:00:36.827272image/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

시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자비고
0여주시농업회사법인 상신농장 유한회사닭산란계350000경기도 여주시 가남읍 김대1길 40경기도 여주시 가남읍 금당리 60637.198828127.60312023-06-15<NA>
1여주시자연농장메추리<NA>70000<NA>경기도 여주시 가남읍 삼군리 16<NA><NA>2023-06-15<NA>
2여주시아리농장오리<NA>10000경기도 여주시 가남읍 신해1길 95-48경기도 여주시 가남읍 신해리 21937.232954127.5430662023-06-15<NA>
3여주시산촌농장닭육계80000경기도 여주시 가남읍 상활2길 83-118경기도 여주시 가남읍 신해리 49537.232014127.5364062023-06-15<NA>
4여주시영지양계장닭육계43000경기도 여주시 가남읍 신해1길 95-75경기도 여주시 가남읍 신해리 49637.23508127.5355022023-06-15<NA>
5여주시상활농장닭육계45000경기도 여주시 가남읍 상활2길 83-103경기도 여주시 가남읍 신해리 49837.232865127.5346972023-06-15<NA>
6여주시경훈농장닭육계0<NA>경기도 여주시 가남읍 신해리 544<NA><NA>2023-06-15<NA>
7여주시양지농장메추리<NA>60000경기도 여주시 가남읍 이화길 56-16경기도 여주시 가남읍 신해리 57537.219685127.5355042023-06-15<NA>
8여주시정원농장닭육계45000경기도 여주시 가남읍 은봉길 147-53경기도 여주시 가남읍 은봉리 27437.180588127.555462023-06-15<NA>
9여주시계림에그스닭산란계45000경기도 여주시 가남읍 대신리길 99-105경기도 여주시 가남읍 은봉리 69137.184946127.5429382023-06-15<NA>
시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자비고
100여주시우솔농장닭산란계17000경기도 여주시 흥천면 남산로 173-19경기도 여주시 흥천면 상대리 6937.349135127.5152692023-06-15<NA>
101여주시농업회사법인 에이치비(주) 여주농장메추리<NA>360000경기도 여주시 흥천면 종다람길 78경기도 여주시 흥천면 신근리 24837.318715127.5566912023-06-15<NA>
102여주시창호농장닭육계40000경기도 여주시 흥천면 종다람길 59경기도 여주시 흥천면 신근리 25037.31696127.5555652023-06-15<NA>
103여주시희망농장닭육계50000경기도 여주시 흥천면 능북로 163-27경기도 여주시 흥천면 율극리 21937.33515127.5646882023-06-15<NA>
104여주시율극축산닭산란계120269경기도 여주시 흥천면 능북로 210경기도 여주시 흥천면 율극리 26237.340384127.567152023-06-15<NA>
105여주시율극농장닭산란계200000경기도 여주시 흥천면 능북로 212경기도 여주시 흥천면 율극리 26437.340338127.5661312023-06-15<NA>
106여주시일우농장닭산란계83381경기도 여주시 흥천면 능북로 216경기도 여주시 흥천면 율극리 26637.342458127.5657992023-06-15<NA>
107여주시농업회사법인 주식회사 닭터닭산란계100000경기도 여주시 흥천면 능북로 163-39경기도 여주시 흥천면 율극리 29437.335828127.5642922023-06-15<NA>
108여주시청운농장닭육계35000경기도 여주시 흥천면 신율로 249-23경기도 여주시 흥천면 율극리 산 23737.326716127.5648992023-06-15<NA>
109여주시남산농장닭육계15000경기도 여주시 흥천면 남산로 432경기도 여주시 흥천면 하다리 11237.342752127.5335462023-06-15<NA>