Overview

Dataset statistics

Number of variables12
Number of observations53
Missing cells6
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory103.5 B

Variable types

Text3
Categorical3
Numeric5
DateTime1

Dataset

Description경기도 파주시 양돈농가 현황 데이터로 사업장명, 등록축종, 사업장소재지(도로명주소/지번주소/위도/경도), 사육두수, 동수(계), 면적(계) 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15127119/fileData.do

Alerts

등록축종 has constant value ""Constant
관리기관명 has constant value ""Constant
관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
사육두수 is highly overall correlated with 면적High correlation
동수 is highly overall correlated with 면적High correlation
면적 is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
사업장소재지도로명주소 has 4 (7.5%) missing valuesMissing
동수 has 1 (1.9%) missing valuesMissing
면적 has 1 (1.9%) missing valuesMissing
사육두수 has 2 (3.8%) zerosZeros

Reproduction

Analysis started2024-03-16 04:11:03.484496
Analysis finished2024-03-16 04:11:22.102248
Duration18.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-16T13:11:22.336608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.8113208
Min length4

Characters and Unicode

Total characters255
Distinct characters94
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)84.9%

Sample

1st row평광농장
2nd row부흥농장
3rd row변산농장
4th row대양농장
5th row돈우리농장
ValueCountFrequency (%)
평광농장 2
 
3.8%
부원농장 2
 
3.8%
형제농장 2
 
3.8%
청마농장 2
 
3.8%
파주양돈단지(5 1
 
1.9%
고도농장 1
 
1.9%
현일농장 1
 
1.9%
술이홀농장 1
 
1.9%
해동농장 1
 
1.9%
유한농장 1
 
1.9%
Other values (39) 39
73.6%
2024-03-16T13:11:22.863949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 45
 
17.6%
장 45
 
17.6%
지 8
 
3.1%
돈 8
 
3.1%
양 7
 
2.7%
) 6
 
2.4%
( 6
 
2.4%
단 5
 
2.0%
주 5
 
2.0%
파 5
 
2.0%
Other values (84) 115
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
91.8%
Close Punctuation 6
 
2.4%
Open Punctuation 6
 
2.4%
Decimal Number 5
 
2.0%
Uppercase Letter 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 45
19.2%
장 45
19.2%
지 8
 
3.4%
돈 8
 
3.4%
양 7
 
3.0%
단 5
 
2.1%
주 5
 
2.1%
파 5
 
2.1%
부 5
 
2.1%
마 4
 
1.7%
Other values (73) 97
41.5%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
1 1
20.0%
4 1
20.0%
5 1
20.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
J 1
25.0%
A 1
25.0%
I 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
91.8%
Common 17
 
6.7%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 45
19.2%
장 45
19.2%
지 8
 
3.4%
돈 8
 
3.4%
양 7
 
3.0%
단 5
 
2.1%
주 5
 
2.1%
파 5
 
2.1%
부 5
 
2.1%
마 4
 
1.7%
Other values (73) 97
41.5%
Common
ValueCountFrequency (%)
) 6
35.3%
( 6
35.3%
2 1
 
5.9%
1 1
 
5.9%
4 1
 
5.9%
5 1
 
5.9%
3 1
 
5.9%
Latin
ValueCountFrequency (%)
B 1
25.0%
J 1
25.0%
A 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
91.8%
ASCII 21
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 45
19.2%
장 45
19.2%
지 8
 
3.4%
돈 8
 
3.4%
양 7
 
3.0%
단 5
 
2.1%
주 5
 
2.1%
파 5
 
2.1%
부 5
 
2.1%
마 4
 
1.7%
Other values (73) 97
41.5%
ASCII
ValueCountFrequency (%)
) 6
28.6%
( 6
28.6%
B 1
 
4.8%
2 1
 
4.8%
1 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%
J 1
 
4.8%
A 1
 
4.8%

등록축종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
양돈
53 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양돈 53
100.0%

Length

2024-03-16T13:11:23.059276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:11:23.229589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양돈 53
100.0%

사업장소재지도로명주소
Text

MISSING 

Distinct44
Distinct (%)89.8%
Missing4
Missing (%)7.5%
Memory size556.0 B
2024-03-16T13:11:23.499245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length22.387755
Min length19

Characters and Unicode

Total characters1097
Distinct characters79
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

Unique42 ?
Unique (%)85.7%

Sample

1st row경기도 파주시 파평면 금마루1길 153
2nd row경기도 파주시 조리읍 둑방길 360
3rd row경기도 파주시 적성면 말굽두리길 170
4th row경기도 파주시 파평면 파산서원길 130
5th row경기도 파주시 적성면 율곡로 2951-49
ValueCountFrequency (%)
경기도 49
20.1%
파주시 49
20.1%
파평면 18
 
7.4%
적성면 15
 
6.1%
듸링거리길 7
 
2.9%
117-76 5
 
2.0%
배우니안길 5
 
2.0%
법원읍 5
 
2.0%
파산서원길 4
 
1.6%
문산읍 4
 
1.6%
Other values (70) 83
34.0%
2024-03-16T13:11:23.999023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
17.8%
파 74
 
6.7%
주 51
 
4.6%
1 50
 
4.6%
경 49
 
4.5%
도 49
 
4.5%
시 49
 
4.5%
기 49
 
4.5%
길 38
 
3.5%
면 36
 
3.3%
Other values (69) 457
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
59.5%
Decimal Number 224
 
20.4%
Space Separator 195
 
17.8%
Dash Punctuation 25
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 74
 
11.3%
주 51
 
7.8%
경 49
 
7.5%
도 49
 
7.5%
시 49
 
7.5%
기 49
 
7.5%
길 38
 
5.8%
면 36
 
5.5%
로 20
 
3.1%
평 19
 
2.9%
Other values (57) 219
33.5%
Decimal Number
ValueCountFrequency (%)
1 50
22.3%
3 27
12.1%
2 27
12.1%
5 22
9.8%
6 22
9.8%
7 21
9.4%
4 17
 
7.6%
9 16
 
7.1%
0 11
 
4.9%
8 11
 
4.9%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
59.5%
Common 444
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 74
 
11.3%
주 51
 
7.8%
경 49
 
7.5%
도 49
 
7.5%
시 49
 
7.5%
기 49
 
7.5%
길 38
 
5.8%
면 36
 
5.5%
로 20
 
3.1%
평 19
 
2.9%
Other values (57) 219
33.5%
Common
ValueCountFrequency (%)
195
43.9%
1 50
 
11.3%
3 27
 
6.1%
2 27
 
6.1%
- 25
 
5.6%
5 22
 
5.0%
6 22
 
5.0%
7 21
 
4.7%
4 17
 
3.8%
9 16
 
3.6%
Other values (2) 22
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
59.5%
ASCII 444
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
43.9%
1 50
 
11.3%
3 27
 
6.1%
2 27
 
6.1%
- 25
 
5.6%
5 22
 
5.0%
6 22
 
5.0%
7 21
 
4.7%
4 17
 
3.8%
9 16
 
3.6%
Other values (2) 22
 
5.0%
Hangul
ValueCountFrequency (%)
파 74
 
11.3%
주 51
 
7.8%
경 49
 
7.5%
도 49
 
7.5%
시 49
 
7.5%
기 49
 
7.5%
길 38
 
5.8%
면 36
 
5.5%
로 20
 
3.1%
평 19
 
2.9%
Other values (57) 219
33.5%

사업장소재지지번주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-16T13:11:24.202301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.264151
Min length17

Characters and Unicode

Total characters1074
Distinct characters64
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

Unique48 ?
Unique (%)90.6%

Sample

1st row경기도 파주시 파평면 눌노리 740
2nd row경기도 파주시 조리읍 대원리 1291-1
3rd row경기도 파주시 적성면 마지리 228-6
4th row경기도 파주시 파평면 눌노리 280-8
5th row경기도 파주시 적성면 어유지리 10
ValueCountFrequency (%)
경기도 53
19.9%
파주시 53
19.9%
파평면 19
 
7.1%
적성면 18
 
6.8%
덕천리 13
 
4.9%
법원읍 5
 
1.9%
문산읍 4
 
1.5%
객현리 4
 
1.5%
장현리 4
 
1.5%
광탄면 3
 
1.1%
Other values (71) 90
33.8%
2024-03-16T13:11:24.577653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
20.2%
파 76
 
7.1%
주 55
 
5.1%
경 53
 
4.9%
리 53
 
4.9%
도 53
 
4.9%
시 53
 
4.9%
기 53
 
4.9%
1 41
 
3.8%
면 40
 
3.7%
Other values (54) 380
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
59.5%
Space Separator 217
 
20.2%
Decimal Number 186
 
17.3%
Dash Punctuation 32
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 76
11.9%
주 55
 
8.6%
경 53
 
8.3%
리 53
 
8.3%
도 53
 
8.3%
시 53
 
8.3%
기 53
 
8.3%
면 40
 
6.3%
평 19
 
3.0%
적 18
 
2.8%
Other values (42) 166
26.0%
Decimal Number
ValueCountFrequency (%)
1 41
22.0%
3 23
12.4%
2 20
10.8%
4 19
10.2%
0 18
9.7%
5 16
 
8.6%
8 15
 
8.1%
7 13
 
7.0%
6 11
 
5.9%
9 10
 
5.4%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
59.5%
Common 435
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 76
11.9%
주 55
 
8.6%
경 53
 
8.3%
리 53
 
8.3%
도 53
 
8.3%
시 53
 
8.3%
기 53
 
8.3%
면 40
 
6.3%
평 19
 
3.0%
적 18
 
2.8%
Other values (42) 166
26.0%
Common
ValueCountFrequency (%)
217
49.9%
1 41
 
9.4%
- 32
 
7.4%
3 23
 
5.3%
2 20
 
4.6%
4 19
 
4.4%
0 18
 
4.1%
5 16
 
3.7%
8 15
 
3.4%
7 13
 
3.0%
Other values (2) 21
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
59.5%
ASCII 435
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
49.9%
1 41
 
9.4%
- 32
 
7.4%
3 23
 
5.3%
2 20
 
4.6%
4 19
 
4.4%
0 18
 
4.1%
5 16
 
3.7%
8 15
 
3.4%
7 13
 
3.0%
Other values (2) 21
 
4.8%
Hangul
ValueCountFrequency (%)
파 76
11.9%
주 55
 
8.6%
경 53
 
8.3%
리 53
 
8.3%
도 53
 
8.3%
시 53
 
8.3%
기 53
 
8.3%
면 40
 
6.3%
평 19
 
3.0%
적 18
 
2.8%
Other values (42) 166
26.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.915201
Minimum37.730504
Maximum38.006218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-16T13:11:24.743134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.730504
5-th percentile37.756337
Q137.882265
median37.939615
Q337.955749
95-th percentile37.988666
Maximum38.006218
Range0.2757147
Interquartile range (IQR)0.073484687

Descriptive statistics

Standard deviation0.069006612
Coefficient of variation (CV)0.0018200249
Kurtosis0.98869354
Mean37.915201
Median Absolute Deviation (MAD)0.031873233
Skewness-1.2603562
Sum2009.5057
Variance0.0047619126
MonotonicityNot monotonic
2024-03-16T13:11:24.975908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
37.9440714373 5
 
9.4%
37.8386354231 2
 
3.8%
37.9325071046 1
 
1.9%
37.8741578935 1
 
1.9%
37.8200298579 1
 
1.9%
37.9382009023 1
 
1.9%
37.8224523889 1
 
1.9%
37.8739793722 1
 
1.9%
37.9822407759 1
 
1.9%
37.9720917797 1
 
1.9%
Other values (38) 38
71.7%
ValueCountFrequency (%)
37.73050365 1
1.9%
37.7329115746 1
1.9%
37.7533619568 1
1.9%
37.7583201643 1
1.9%
37.78863317 1
1.9%
37.8200298579 1
1.9%
37.8224523889 1
1.9%
37.8386354231 2
3.8%
37.8739793722 1
1.9%
37.8741578935 1
1.9%
ValueCountFrequency (%)
38.0062183517 1
1.9%
38.0059824131 1
1.9%
37.994724193 1
1.9%
37.9846267523 1
1.9%
37.9826165553 1
1.9%
37.9822407759 1
1.9%
37.9787226053 1
1.9%
37.9747597843 1
1.9%
37.9720917797 1
1.9%
37.9714880814 1
1.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.88104
Minimum126.7547
Maximum126.99652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-16T13:11:25.146724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7547
5-th percentile126.79451
Q1126.84866
median126.86606
Q3126.90649
95-th percentile126.97887
Maximum126.99652
Range0.24181313
Interquartile range (IQR)0.057828236

Descriptive statistics

Standard deviation0.057155024
Coefficient of variation (CV)0.00045046151
Kurtosis-0.11633203
Mean126.88104
Median Absolute Deviation (MAD)0.020672624
Skewness0.27773459
Sum6724.695
Variance0.0032666968
MonotonicityNot monotonic
2024-03-16T13:11:25.597085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
126.8716188844 5
 
9.4%
126.7547049237 2
 
3.8%
126.8435705559 1
 
1.9%
126.8511014092 1
 
1.9%
126.8180042204 1
 
1.9%
126.8551478887 1
 
1.9%
126.8486600245 1
 
1.9%
126.8519958087 1
 
1.9%
126.9588662461 1
 
1.9%
126.9578857463 1
 
1.9%
Other values (38) 38
71.7%
ValueCountFrequency (%)
126.7547049237 2
3.8%
126.7850080938 1
1.9%
126.8008518261 1
1.9%
126.8180042204 1
1.9%
126.8308535215 1
1.9%
126.8435705559 1
1.9%
126.8442940586 1
1.9%
126.8448814867 1
1.9%
126.8462056908 1
1.9%
126.8465257239 1
1.9%
ValueCountFrequency (%)
126.9965180516 1
1.9%
126.9866185094 1
1.9%
126.9811165651 1
1.9%
126.9773731045 1
1.9%
126.975516971 1
1.9%
126.9689774006 1
1.9%
126.9588662461 1
1.9%
126.9586024037 1
1.9%
126.9583166429 1
1.9%
126.9581872299 1
1.9%

사육두수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1678.9245
Minimum0
Maximum4326
Zeros2
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-16T13:11:25.729753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile239.4
Q1950
median1668
Q32380
95-th percentile3190.4
Maximum4326
Range4326
Interquartile range (IQR)1430

Descriptive statistics

Standard deviation969.7086
Coefficient of variation (CV)0.57757724
Kurtosis-0.20089003
Mean1678.9245
Median Absolute Deviation (MAD)718
Skewness0.39354107
Sum88983
Variance940334.76
MonotonicityNot monotonic
2024-03-16T13:11:25.896609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1000 3
 
5.7%
0 2
 
3.8%
1738 2
 
3.8%
2950 1
 
1.9%
1996 1
 
1.9%
2773 1
 
1.9%
1060 1
 
1.9%
2398 1
 
1.9%
868 1
 
1.9%
3203 1
 
1.9%
Other values (39) 39
73.6%
ValueCountFrequency (%)
0 2
3.8%
45 1
1.9%
369 1
1.9%
485 1
1.9%
538 1
1.9%
654 1
1.9%
750 1
1.9%
755 1
1.9%
816 1
1.9%
850 1
1.9%
ValueCountFrequency (%)
4326 1
1.9%
3572 1
1.9%
3203 1
1.9%
3182 1
1.9%
3130 1
1.9%
3000 1
1.9%
2950 1
1.9%
2773 1
1.9%
2572 1
1.9%
2428 1
1.9%

동수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)28.8%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean5.9423077
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-16T13:11:26.039347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37.25
95-th percentile12.45
Maximum18
Range17
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.8164426
Coefficient of variation (CV)0.64224923
Kurtosis1.7060656
Mean5.9423077
Median Absolute Deviation (MAD)2
Skewness1.1730266
Sum309
Variance14.565234
MonotonicityNot monotonic
2024-03-16T13:11:26.169632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 8
15.1%
6 7
13.2%
3 6
11.3%
1 5
9.4%
7 5
9.4%
4 4
7.5%
2 4
7.5%
9 4
7.5%
12 2
 
3.8%
8 2
 
3.8%
Other values (5) 5
9.4%
ValueCountFrequency (%)
1 5
9.4%
2 4
7.5%
3 6
11.3%
4 4
7.5%
5 8
15.1%
6 7
13.2%
7 5
9.4%
8 2
 
3.8%
9 4
7.5%
10 1
 
1.9%
ValueCountFrequency (%)
18 1
 
1.9%
17 1
 
1.9%
13 1
 
1.9%
12 2
 
3.8%
11 1
 
1.9%
10 1
 
1.9%
9 4
7.5%
8 2
 
3.8%
7 5
9.4%
6 7
13.2%

면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct51
Distinct (%)98.1%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2227.7738
Minimum777.4
Maximum7013.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-16T13:11:26.312640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum777.4
5-th percentile846.4025
Q11198.825
median1991.12
Q32959.15
95-th percentile4188.225
Maximum7013.17
Range6235.77
Interquartile range (IQR)1760.325

Descriptive statistics

Standard deviation1260.3538
Coefficient of variation (CV)0.56574586
Kurtosis2.5684891
Mean2227.7738
Median Absolute Deviation (MAD)913.45
Skewness1.2731448
Sum115844.24
Variance1588491.8
MonotonicityNot monotonic
2024-03-16T13:11:26.476794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1267.99 2
 
3.8%
2363.69 1
 
1.9%
959.51 1
 
1.9%
3324.0 1
 
1.9%
1432.0 1
 
1.9%
3423.89 1
 
1.9%
999.6 1
 
1.9%
1253.92 1
 
1.9%
972.0 1
 
1.9%
2131.34 1
 
1.9%
Other values (41) 41
77.4%
ValueCountFrequency (%)
777.4 1
1.9%
780.0 1
1.9%
790.0 1
1.9%
892.55 1
1.9%
913.42 1
1.9%
959.51 1
1.9%
972.0 1
1.9%
993.9 1
1.9%
999.6 1
1.9%
1050.12 1
1.9%
ValueCountFrequency (%)
7013.17 1
1.9%
4645.7 1
1.9%
4480.0 1
1.9%
3949.5 1
1.9%
3822.84 1
1.9%
3751.54 1
1.9%
3449.4 1
1.9%
3428.97 1
1.9%
3423.89 1
1.9%
3371.62 1
1.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
경기도 파주시청
53 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 53
100.0%

Length

2024-03-16T13:11:26.646464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:11:26.776741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 53
50.0%
파주시청 53
50.0%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
031-940-4503
53 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-4503
2nd row031-940-4503
3rd row031-940-4503
4th row031-940-4503
5th row031-940-4503

Common Values

ValueCountFrequency (%)
031-940-4503 53
100.0%

Length

2024-03-16T13:11:26.933205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:11:27.126421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-4503 53
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2024-03-11 00:00:00
Maximum2024-03-11 00:00:00
2024-03-16T13:11:27.208570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:27.320421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-16T13:11:20.871722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:16.824149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.022620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.976623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:19.809172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:21.018715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:17.052217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.212932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:19.137605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:20.092243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:21.161033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:17.215922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.409259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:19.292358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:20.345141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:21.268737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:17.374633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.598983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:19.443618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:20.504899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:21.405918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:17.666036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:18.796825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:19.627921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:20.670114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:11:27.415968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명사업장소재지도로명주소사업장소재지지번주소위도경도사육두수동수면적
사업장명1.0000.8580.9400.9740.9420.9380.8070.964
사업장소재지도로명주소0.8581.0001.0001.0001.0000.9660.8940.816
사업장소재지지번주소0.9401.0001.0001.0001.0000.9730.9380.926
위도0.9741.0001.0001.0000.8740.4370.5940.591
경도0.9421.0001.0000.8741.0000.5060.4810.000
사육두수0.9380.9660.9730.4370.5061.0000.5870.736
동수0.8070.8940.9380.5940.4810.5871.0000.715
면적0.9640.8160.9260.5910.0000.7360.7151.000
2024-03-16T13:11:27.576491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도사육두수동수면적
위도1.0000.7610.113-0.0120.085
경도0.7611.0000.118-0.0920.072
사육두수0.1130.1181.0000.4540.760
동수-0.012-0.0920.4541.0000.600
면적0.0850.0720.7600.6001.000

Missing values

2024-03-16T13:11:21.607547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:11:21.855291image/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.
2024-03-16T13:11:22.017035image/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

사업장명등록축종사업장소재지도로명주소사업장소재지지번주소위도경도사육두수동수면적관리기관명관리부서전화번호데이터기준일자
0평광농장양돈경기도 파주시 파평면 금마루1길 153경기도 파주시 파평면 눌노리 74037.932507126.843571295052363.69경기도 파주시청031-940-45032024-03-11
1부흥농장양돈경기도 파주시 조리읍 둑방길 360경기도 파주시 조리읍 대원리 1291-137.730504126.830854242442793.88경기도 파주시청031-940-45032024-03-11
2변산농장양돈경기도 파주시 적성면 말굽두리길 170경기도 파주시 적성면 마지리 228-637.955749126.906488242851932.72경기도 파주시청031-940-45032024-03-11
3대양농장양돈경기도 파주시 파평면 파산서원길 130경기도 파주시 파평면 눌노리 280-837.934547126.852213182103428.97경기도 파주시청031-940-45032024-03-11
4돈우리농장양돈경기도 파주시 적성면 율곡로 2951-49경기도 파주시 적성면 어유지리 1037.994724126.996518238042544.0경기도 파주시청031-940-45032024-03-11
5지은농장양돈경기도 파주시 적성면 어못내길 53-66경기도 파주시 적성면 어유지리 175-138.006218126.9866193692790.0경기도 파주시청031-940-45032024-03-11
6부승농장양돈경기도 파주시 파평면 장마루1길 253경기도 파주시 파평면 덕천리 580-237.939615126.8469043130174480.0경기도 파주시청031-940-45032024-03-11
7효진농장양돈경기도 파주시 광탄면 장지산로 351-25경기도 파주시 광탄면 분수리 산 8137.75832126.8660563000184645.7경기도 파주시청031-940-45032024-03-11
8선유농장양돈경기도 파주시 광탄면 소라울1길 56경기도 파주시 광탄면 창만리 419-137.788633126.865734166851976.94경기도 파주시청031-940-45032024-03-11
9동우농장양돈경기도 파주시 파평면 파산서원길 434-122경기도 파주시 파평면 덕천리 144-137.937379126.86129510312993.9경기도 파주시청031-940-45032024-03-11
사업장명등록축종사업장소재지도로명주소사업장소재지지번주소위도경도사육두수동수면적관리기관명관리부서전화번호데이터기준일자
43만나농장양돈<NA>경기도 파주시 적성면 답곡리 20537.955861126.858071239362950.59경기도 파주시청031-940-45032024-03-11
44새벽농장양돈<NA>경기도 파주시 적성면 답곡리 31-237.949421126.865299150051613.25경기도 파주시청031-940-45032024-03-11
45JB행복농장양돈경기도 파주시 적성면 배우니안길 187경기도 파주시 적성면 장현리 528-637.97476126.9563487501892.55경기도 파주시청031-940-45032024-03-11
46순만농장양돈경기도 파주시 적성면 율곡로2663번길 37경기도 파주시 적성면 장현리 375-437.984627126.968977208483949.5경기도 파주시청031-940-45032024-03-11
47파주양돈단지(2)양돈경기도 파주시 파평면 듸링거리길 117-76경기도 파주시 파평면 덕천리 20737.944071126.871619159882925.9경기도 파주시청031-940-45032024-03-11
48종훈농장양돈<NA>경기도 파주시 파평면 덕천리 51337.939217126.85444175192765.0경기도 파주시청031-940-45032024-03-11
49태화축산양돈경기도 파주시 문산읍 배머리길 466경기도 파주시 문산읍 이천리 1037.874293126.84809693453822.84경기도 파주시청031-940-45032024-03-11
50고도농장양돈경기도 파주시 파평면 듸링거리길 117-204경기도 파주시 파평면 덕천리 19937.940711126.865489100031338.34경기도 파주시청031-940-45032024-03-11
51새말농장양돈경기도 파주시 문산읍 방촌로1294번길 83경기도 파주시 문산읍 내포리 765-137.838635126.754705061197.7경기도 파주시청031-940-45032024-03-11
52삼마농장양돈경기도 파주시 문산읍 방촌로1294번길 83경기도 파주시 문산읍 내포리 76537.838635126.754705072242.4경기도 파주시청031-940-45032024-03-11