Overview

Dataset statistics

Number of variables10
Number of observations9646
Missing cells3936
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory782.0 KiB
Average record size in memory83.0 B

Variable types

Categorical3
Text3
Numeric3
DateTime1

Alerts

시군명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
비고 is highly overall correlated with 사육두수 and 2 other fieldsHigh correlation
사육두수 is highly overall correlated with 비고High correlation
위도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 시군명High correlation
축종명 is highly imbalanced (69.9%)Imbalance
비고 is highly imbalanced (68.2%)Imbalance
사육두수 has 477 (4.9%) missing valuesMissing
소재지도로명주소 has 1387 (14.4%) missing valuesMissing
위도 has 1026 (10.6%) missing valuesMissing
경도 has 1026 (10.6%) missing valuesMissing
사육두수 has 380 (3.9%) zerosZeros

Reproduction

Analysis started2024-04-14 05:00:59.552113
Analysis finished2024-04-14 05:01:03.255500
Duration3.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
안성시
1876 
화성시
1171 
포천시
833 
이천시
772 
여주시
676 
Other values (25)
4318 

Length

Max length4
Median length3
Mean length3.0139954
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
안성시 1876
19.4%
화성시 1171
12.1%
포천시 833
8.6%
이천시 772
8.0%
여주시 676
 
7.0%
양평군 645
 
6.7%
평택시 507
 
5.3%
용인시 493
 
5.1%
파주시 489
 
5.1%
연천군 436
 
4.5%
Other values (20) 1748
18.1%

Length

2024-04-14T14:01:03.306356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성시 1876
19.4%
화성시 1171
12.1%
포천시 833
8.6%
이천시 772
8.0%
여주시 676
 
7.0%
양평군 645
 
6.7%
평택시 507
 
5.3%
용인시 493
 
5.1%
파주시 489
 
5.1%
연천군 436
 
4.5%
Other values (20) 1748
18.1%

농장명
Text

Distinct6986
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
2024-04-14T14:01:03.521236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length4.3336098
Min length1

Characters and Unicode

Total characters41802
Distinct characters666
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5686 ?
Unique (%)58.9%

Sample

1st rowKT목장
2nd row가골 2목장
3rd row가골목장A
4th row가골목장B
5th row가덕목장
ValueCountFrequency (%)
129
 
1.3%
농장 87
 
0.9%
목장 74
 
0.7%
이 46
 
0.5%
김 45
 
0.4%
농업회사법인 43
 
0.4%
대성농장 29
 
0.3%
우리농장 28
 
0.3%
주식회사 28
 
0.3%
박 25
 
0.2%
Other values (7012) 9485
94.7%
2024-04-14T14:01:04.010818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 8669
20.7%
농 4630
 
11.1%
목 4205
 
10.1%
성 597
 
1.4%
산 548
 
1.3%
우 544
 
1.3%
원 458
 
1.1%
* 455
 
1.1%
영 446
 
1.1%
대 407
 
1.0%
Other values (656) 20843
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40039
95.8%
Other Punctuation 468
 
1.1%
Decimal Number 401
 
1.0%
Space Separator 373
 
0.9%
Dash Punctuation 135
 
0.3%
Uppercase Letter 119
 
0.3%
Close Punctuation 104
 
0.2%
Open Punctuation 104
 
0.2%
Lowercase Letter 57
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 8669
21.7%
농 4630
 
11.6%
목 4205
 
10.5%
성 597
 
1.5%
산 548
 
1.4%
우 544
 
1.4%
원 458
 
1.1%
영 446
 
1.1%
대 407
 
1.0%
한 379
 
0.9%
Other values (599) 19156
47.8%
Uppercase Letter
ValueCountFrequency (%)
K 19
16.0%
O 16
13.4%
D 11
9.2%
J 11
9.2%
A 10
8.4%
F 7
 
5.9%
G 6
 
5.0%
M 6
 
5.0%
N 5
 
4.2%
S 4
 
3.4%
Other values (10) 24
20.2%
Lowercase Letter
ValueCountFrequency (%)
a 10
17.5%
m 10
17.5%
r 9
15.8%
f 6
10.5%
e 5
8.8%
s 3
 
5.3%
t 2
 
3.5%
o 2
 
3.5%
i 2
 
3.5%
n 2
 
3.5%
Other values (4) 6
10.5%
Decimal Number
ValueCountFrequency (%)
2 266
66.3%
1 76
 
19.0%
3 24
 
6.0%
5 8
 
2.0%
6 6
 
1.5%
4 6
 
1.5%
8 5
 
1.2%
0 4
 
1.0%
9 4
 
1.0%
7 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
* 455
97.2%
. 4
 
0.9%
& 3
 
0.6%
, 2
 
0.4%
· 1
 
0.2%
' 1
 
0.2%
@ 1
 
0.2%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40036
95.8%
Common 1585
 
3.8%
Latin 178
 
0.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 8669
21.7%
농 4630
 
11.6%
목 4205
 
10.5%
성 597
 
1.5%
산 548
 
1.4%
우 544
 
1.4%
원 458
 
1.1%
영 446
 
1.1%
대 407
 
1.0%
한 379
 
0.9%
Other values (596) 19153
47.8%
Latin
ValueCountFrequency (%)
K 19
 
10.7%
O 16
 
9.0%
D 11
 
6.2%
J 11
 
6.2%
A 10
 
5.6%
a 10
 
5.6%
m 10
 
5.6%
r 9
 
5.1%
F 7
 
3.9%
G 6
 
3.4%
Other values (25) 69
38.8%
Common
ValueCountFrequency (%)
* 455
28.7%
373
23.5%
2 266
16.8%
- 135
 
8.5%
) 104
 
6.6%
( 104
 
6.6%
1 76
 
4.8%
3 24
 
1.5%
5 8
 
0.5%
6 6
 
0.4%
Other values (12) 34
 
2.1%
Han
ValueCountFrequency (%)
豚 1
33.3%
村 1
33.3%
前 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40036
95.8%
ASCII 1760
 
4.2%
CJK 3
 
< 0.1%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 8669
21.7%
농 4630
 
11.6%
목 4205
 
10.5%
성 597
 
1.5%
산 548
 
1.4%
우 544
 
1.4%
원 458
 
1.1%
영 446
 
1.1%
대 407
 
1.0%
한 379
 
0.9%
Other values (596) 19153
47.8%
ASCII
ValueCountFrequency (%)
* 455
25.9%
373
21.2%
2 266
15.1%
- 135
 
7.7%
) 104
 
5.9%
( 104
 
5.9%
1 76
 
4.3%
3 24
 
1.4%
K 19
 
1.1%
O 16
 
0.9%
Other values (45) 188
10.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
豚 1
33.3%
村 1
33.3%
前 1
33.3%

축종명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
소
7941 
돼지
1382 
염소
 
176
사슴
 
89
산양
 
56
Other values (2)
 
2

Length

Max length4
Median length1
Mean length1.1769645
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
소 7941
82.3%
돼지 1382
 
14.3%
염소 176
 
1.8%
사슴 89
 
0.9%
산양 56
 
0.6%
면양 1
 
< 0.1%
소+염소 1
 
< 0.1%

Length

2024-04-14T14:01:04.117586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T14:01:04.198094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소 7941
82.3%
돼지 1382
 
14.3%
염소 176
 
1.8%
사슴 89
 
0.9%
산양 56
 
0.6%
면양 1
 
< 0.1%
소+염소 1
 
< 0.1%

사육두수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct704
Distinct (%)7.7%
Missing477
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean297.1276
Minimum0
Maximum26230
Zeros380
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size84.9 KiB
2024-04-14T14:01:04.293483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q119
median50
Q3110
95-th percentile1626.8
Maximum26230
Range26230
Interquartile range (IQR)91

Descriptive statistics

Standard deviation979.00607
Coefficient of variation (CV)3.2949011
Kurtosis147.58106
Mean297.1276
Median Absolute Deviation (MAD)38
Skewness9.426973
Sum2724363
Variance958452.89
MonotonicityNot monotonic
2024-04-14T14:01:04.400897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 380
 
3.9%
50 211
 
2.2%
30 206
 
2.1%
40 196
 
2.0%
20 193
 
2.0%
60 186
 
1.9%
10 174
 
1.8%
100 170
 
1.8%
5 156
 
1.6%
80 153
 
1.6%
Other values (694) 7144
74.1%
(Missing) 477
 
4.9%
ValueCountFrequency (%)
0 380
3.9%
1 30
 
0.3%
2 122
 
1.3%
3 119
 
1.2%
4 119
 
1.2%
5 156
1.6%
6 113
 
1.2%
7 111
 
1.2%
8 109
 
1.1%
9 90
 
0.9%
ValueCountFrequency (%)
26230 1
< 0.1%
21201 1
< 0.1%
20000 1
< 0.1%
18000 1
< 0.1%
16646 1
< 0.1%
15000 1
< 0.1%
12000 2
< 0.1%
11888 1
< 0.1%
11771 1
< 0.1%
10932 1
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct8043
Distinct (%)97.4%
Missing1387
Missing (%)14.4%
Memory size75.5 KiB
2024-04-14T14:01:04.647335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length70
Mean length24.07955
Min length14

Characters and Unicode

Total characters198873
Distinct characters470
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7839 ?
Unique (%)94.9%

Sample

1st row경기도 가평군 설악면 한서로375번길 41
2nd row경기도 가평군 북면 가화로 833-47
3rd row경기도 가평군 북면 가화로 819
4th row경기도 가평군 북면 이곡둑길 3
5th row경기도 가평군 북면 화악지암길 72-36
ValueCountFrequency (%)
경기도 8259
 
18.5%
안성시 1856
 
4.2%
포천시 758
 
1.7%
화성시 733
 
1.6%
이천시 713
 
1.6%
여주시 596
 
1.3%
양평군 477
 
1.1%
평택시 468
 
1.0%
연천군 436
 
1.0%
1호 431
 
1.0%
Other values (8386) 29930
67.0%
2024-04-14T14:01:05.008559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36403
 
18.3%
도 8621
 
4.3%
기 8348
 
4.2%
경 8305
 
4.2%
1 7907
 
4.0%
시 7126
 
3.6%
면 6243
 
3.1%
2 5396
 
2.7%
길 4482
 
2.3%
3 4348
 
2.2%
Other values (460) 101694
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115779
58.2%
Decimal Number 39052
 
19.6%
Space Separator 36403
 
18.3%
Dash Punctuation 4084
 
2.1%
Other Punctuation 1216
 
0.6%
Close Punctuation 1165
 
0.6%
Open Punctuation 1165
 
0.6%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 8621
 
7.4%
기 8348
 
7.2%
경 8305
 
7.2%
시 7126
 
6.2%
면 6243
 
5.4%
길 4482
 
3.9%
번 4145
 
3.6%
로 3845
 
3.3%
성 3465
 
3.0%
지 2869
 
2.5%
Other values (433) 58330
50.4%
Decimal Number
ValueCountFrequency (%)
1 7907
20.2%
2 5396
13.8%
3 4348
11.1%
4 3763
9.6%
5 3398
8.7%
6 3217
8.2%
7 3074
 
7.9%
8 2841
 
7.3%
0 2561
 
6.6%
9 2547
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
A 1
16.7%
Q 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1203
98.9%
. 11
 
0.9%
* 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
g 1
33.3%
i 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1163
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1163
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
36403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4084
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115779
58.2%
Common 83085
41.8%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 8621
 
7.4%
기 8348
 
7.2%
경 8305
 
7.2%
시 7126
 
6.2%
면 6243
 
5.4%
길 4482
 
3.9%
번 4145
 
3.6%
로 3845
 
3.3%
성 3465
 
3.0%
지 2869
 
2.5%
Other values (433) 58330
50.4%
Common
ValueCountFrequency (%)
36403
43.8%
1 7907
 
9.5%
2 5396
 
6.5%
3 4348
 
5.2%
- 4084
 
4.9%
4 3763
 
4.5%
5 3398
 
4.1%
6 3217
 
3.9%
7 3074
 
3.7%
8 2841
 
3.4%
Other values (9) 8654
 
10.4%
Latin
ValueCountFrequency (%)
B 2
22.2%
n 1
11.1%
g 1
11.1%
i 1
11.1%
S 1
11.1%
A 1
11.1%
Q 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115779
58.2%
ASCII 83094
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36403
43.8%
1 7907
 
9.5%
2 5396
 
6.5%
3 4348
 
5.2%
- 4084
 
4.9%
4 3763
 
4.5%
5 3398
 
4.1%
6 3217
 
3.9%
7 3074
 
3.7%
8 2841
 
3.4%
Other values (17) 8663
 
10.4%
Hangul
ValueCountFrequency (%)
도 8621
 
7.4%
기 8348
 
7.2%
경 8305
 
7.2%
시 7126
 
6.2%
면 6243
 
5.4%
길 4482
 
3.9%
번 4145
 
3.6%
로 3845
 
3.3%
성 3465
 
3.0%
지 2869
 
2.5%
Other values (433) 58330
50.4%

소재지지번주소
Text

Distinct9447
Distinct (%)98.1%
Missing20
Missing (%)0.2%
Memory size75.5 KiB
2024-04-14T14:01:05.271969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length74
Mean length23.253065
Min length13

Characters and Unicode

Total characters223834
Distinct characters378
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9274 ?
Unique (%)96.3%

Sample

1st row경기도 가평군 설악면 위곡리 145번지 5호
2nd row경기도 가평군 북면 이곡리 242번지
3rd row경기도 가평군 북면 이곡리 155번지 23호
4th row경기도 가평군 북면 이곡리 179번지 3호 외 3필지(180-1,180-2,180-3)
5th row경기도 가평군 북면 화악리 369번지 외 1필지(369-1)
ValueCountFrequency (%)
경기도 9626
 
18.0%
안성시 1877
 
3.5%
화성시 1171
 
2.2%
1호 837
 
1.6%
포천시 833
 
1.6%
이천시 772
 
1.4%
여주시 676
 
1.3%
양평군 645
 
1.2%
평택시 507
 
1.0%
용인시 493
 
0.9%
Other values (7589) 35894
67.3%
2024-04-14T14:01:05.662539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43725
19.5%
도 10069
 
4.5%
기 9680
 
4.3%
경 9652
 
4.3%
시 8387
 
3.7%
1 8363
 
3.7%
리 7435
 
3.3%
면 7168
 
3.2%
2 5805
 
2.6%
지 5149
 
2.3%
Other values (368) 108401
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129872
58.0%
Space Separator 43725
 
19.5%
Decimal Number 42404
 
18.9%
Dash Punctuation 4841
 
2.2%
Other Punctuation 1996
 
0.9%
Close Punctuation 494
 
0.2%
Open Punctuation 492
 
0.2%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10069
 
7.8%
기 9680
 
7.5%
경 9652
 
7.4%
시 8387
 
6.5%
리 7435
 
5.7%
면 7168
 
5.5%
지 5149
 
4.0%
번 4310
 
3.3%
성 3933
 
3.0%
호 2674
 
2.1%
Other values (343) 61415
47.3%
Decimal Number
ValueCountFrequency (%)
1 8363
19.7%
2 5805
13.7%
3 4893
11.5%
4 4251
10.0%
5 3911
9.2%
6 3595
8.5%
7 3234
 
7.6%
8 2941
 
6.9%
9 2713
 
6.4%
0 2698
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
S 1
16.7%
E 1
16.7%
Q 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
g 1
33.3%
i 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1985
99.4%
. 11
 
0.6%
Space Separator
ValueCountFrequency (%)
43725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 492
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129872
58.0%
Common 93953
42.0%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10069
 
7.8%
기 9680
 
7.5%
경 9652
 
7.4%
시 8387
 
6.5%
리 7435
 
5.7%
면 7168
 
5.5%
지 5149
 
4.0%
번 4310
 
3.3%
성 3933
 
3.0%
호 2674
 
2.1%
Other values (343) 61415
47.3%
Common
ValueCountFrequency (%)
43725
46.5%
1 8363
 
8.9%
2 5805
 
6.2%
3 4893
 
5.2%
- 4841
 
5.2%
4 4251
 
4.5%
5 3911
 
4.2%
6 3595
 
3.8%
7 3234
 
3.4%
8 2941
 
3.1%
Other values (7) 8394
 
8.9%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 1
11.1%
n 1
11.1%
g 1
11.1%
i 1
11.1%
S 1
11.1%
E 1
11.1%
Q 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129872
58.0%
ASCII 93962
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43725
46.5%
1 8363
 
8.9%
2 5805
 
6.2%
3 4893
 
5.2%
- 4841
 
5.2%
4 4251
 
4.5%
5 3911
 
4.2%
6 3595
 
3.8%
7 3234
 
3.4%
8 2941
 
3.1%
Other values (15) 8403
 
8.9%
Hangul
ValueCountFrequency (%)
도 10069
 
7.8%
기 9680
 
7.5%
경 9652
 
7.4%
시 8387
 
6.5%
리 7435
 
5.7%
면 7168
 
5.5%
지 5149
 
4.0%
번 4310
 
3.3%
성 3933
 
3.0%
호 2674
 
2.1%
Other values (343) 61415
47.3%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8174
Distinct (%)94.8%
Missing1026
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean37.409535
Minimum36.924078
Maximum38.229491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.9 KiB
2024-04-14T14:01:05.773751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.924078
5-th percentile36.991513
Q137.105788
median37.29214
Q337.744367
95-th percentile38.019989
Maximum38.229491
Range1.3054132
Interquartile range (IQR)0.63857979

Descriptive statistics

Standard deviation0.35581525
Coefficient of variation (CV)0.0095113518
Kurtosis-1.112959
Mean37.409535
Median Absolute Deviation (MAD)0.22706652
Skewness0.56317317
Sum322470.19
Variance0.12660449
MonotonicityNot monotonic
2024-04-14T14:01:05.907108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.0897290575 5
 
0.1%
37.9440731147 5
 
0.1%
37.0634483184 4
 
< 0.1%
37.3116775145 4
 
< 0.1%
36.9912243718 4
 
< 0.1%
37.0202604212 3
 
< 0.1%
37.4824241113 3
 
< 0.1%
37.0840827447 3
 
< 0.1%
37.3131540259 3
 
< 0.1%
37.0021951606 3
 
< 0.1%
Other values (8164) 8583
89.0%
(Missing) 1026
 
10.6%
ValueCountFrequency (%)
36.924078297 1
< 0.1%
36.9253952984 1
< 0.1%
36.9298538761 1
< 0.1%
36.934659331 2
< 0.1%
36.9347206081 1
< 0.1%
36.9347874819 2
< 0.1%
36.9348649745 1
< 0.1%
36.9350361557 1
< 0.1%
36.9354308499 1
< 0.1%
36.9357210971 1
< 0.1%
ValueCountFrequency (%)
38.229491452 1
< 0.1%
38.2292074804 1
< 0.1%
38.225829427 1
< 0.1%
38.2126537437 1
< 0.1%
38.2120486573 1
< 0.1%
38.2075451221 1
< 0.1%
38.194513725 1
< 0.1%
38.1937335136 1
< 0.1%
38.1935122878 1
< 0.1%
38.1933200113 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8174
Distinct (%)94.8%
Missing1026
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean127.20342
Minimum126.52321
Maximum127.79339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.9 KiB
2024-04-14T14:01:06.012044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52321
5-th percentile126.72414
Q1126.9579
median127.23582
Q3127.45497
95-th percentile127.64301
Maximum127.79339
Range1.2701845
Interquartile range (IQR)0.49707006

Descriptive statistics

Standard deviation0.29409321
Coefficient of variation (CV)0.0023119914
Kurtosis-0.97592888
Mean127.20342
Median Absolute Deviation (MAD)0.25023089
Skewness-0.18951849
Sum1096493.5
Variance0.086490814
MonotonicityNot monotonic
2024-04-14T14:01:06.122259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2569299199 5
 
0.1%
126.8716226463 5
 
0.1%
127.2072288356 4
 
< 0.1%
127.2219272183 4
 
< 0.1%
127.3028911256 4
 
< 0.1%
127.4331778189 3
 
< 0.1%
127.6989688586 3
 
< 0.1%
127.5037917444 3
 
< 0.1%
127.2176448236 3
 
< 0.1%
127.2143535383 3
 
< 0.1%
Other values (8164) 8583
89.0%
(Missing) 1026
 
10.6%
ValueCountFrequency (%)
126.5232069727 1
< 0.1%
126.5324430244 1
< 0.1%
126.5389325691 1
< 0.1%
126.5397661829 1
< 0.1%
126.539766236 1
< 0.1%
126.5408423566 1
< 0.1%
126.541454111 1
< 0.1%
126.5419829425 1
< 0.1%
126.5423748249 1
< 0.1%
126.5438628294 1
< 0.1%
ValueCountFrequency (%)
127.7933915018 1
< 0.1%
127.7855805084 1
< 0.1%
127.7846524107 1
< 0.1%
127.7826227274 1
< 0.1%
127.7789300184 1
< 0.1%
127.7784874194 1
< 0.1%
127.7763980277 1
< 0.1%
127.7763345231 1
< 0.1%
127.7755797967 1
< 0.1%
127.7752255341 1
< 0.1%

데이터기준일자
Date

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
Minimum2018-09-07 00:00:00
Maximum2024-04-09 00:00:00
2024-04-14T14:01:06.239810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:06.350026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.5 KiB
<NA>
8828 
운영
 
436
양주시 농업기술센터 축산과
 
382

Length

Max length14
Median length4
Mean length4.3056189
Min length2

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> 8828
91.5%
운영 436
 
4.5%
양주시 농업기술센터 축산과 382
 
4.0%

Length

2024-04-14T14:01:06.468689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T14:01:06.536926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8828
84.8%
운영 436
 
4.2%
양주시 382
 
3.7%
농업기술센터 382
 
3.7%
축산과 382
 
3.7%

Interactions

2024-04-14T14:01:02.733493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.253328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.508358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.801634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.365333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.578173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.877235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.435439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:02.653721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T14:01:06.586123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명축종명사육두수위도경도데이터기준일자비고
시군명1.0000.4700.0000.9140.9111.0001.000
축종명0.4701.0000.2960.1640.1180.3160.100
사육두수0.0000.2961.0000.1250.0000.000NaN
위도0.9140.1640.1251.0000.7400.9040.867
경도0.9110.1180.0000.7401.0000.8960.169
데이터기준일자1.0000.3160.0000.9040.8961.0001.000
비고1.0000.100NaN0.8670.1691.0001.000
2024-04-14T14:01:06.668200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종명시군명비고
축종명1.0000.2170.122
시군명0.2171.0000.998
비고0.1220.9981.000
2024-04-14T14:01:06.733816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도시군명축종명비고
사육두수1.000-0.0720.0330.0000.1541.000
위도-0.0721.000-0.0670.6310.0830.975
경도0.033-0.0671.0000.6250.0600.279
시군명0.0000.6310.6251.0000.2170.998
축종명0.1540.0830.0600.2171.0000.122
비고1.0000.9750.2790.9980.1221.000

Missing values

2024-04-14T14:01:02.973256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T14:01:03.086053image/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.
2024-04-14T14:01:03.193370image/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

시군명농장명축종명사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자비고
0가평군KT목장소7경기도 가평군 설악면 한서로375번길 41경기도 가평군 설악면 위곡리 145번지 5호37.673666127.531822024-02-23<NA>
1가평군가골 2목장소50경기도 가평군 북면 가화로 833-47경기도 가평군 북면 이곡리 242번지37.878283127.5347162024-02-23<NA>
2가평군가골목장A소0경기도 가평군 북면 가화로 819경기도 가평군 북면 이곡리 155번지 23호37.877112127.5345112024-02-23<NA>
3가평군가골목장B소0경기도 가평군 북면 이곡둑길 3경기도 가평군 북면 이곡리 179번지 3호 외 3필지(180-1,180-2,180-3)37.875947127.5400362024-02-23<NA>
4가평군가덕목장소46경기도 가평군 북면 화악지암길 72-36경기도 가평군 북면 화악리 369번지 외 1필지(369-1)37.932039127.5703022024-02-23<NA>
5가평군가평 양떼목장면양0경기도 가평군 설악면 유명로 1209경기도 가평군 설악면 천안리 861번지37.643409127.4727392024-02-23<NA>
6가평군가평팜돼지1500경기도 가평군 상면 태봉골길 135-149경기도 가평군 상면 태봉리 115번지 114-1번지37.808515127.3381032024-02-23<NA>
7가평군가평흑염소농장염소60경기도 가평군 북면 내촌길 46-159경기도 가평군 북면 이곡리 152번지 외 1필지(153)37.878842127.5350012024-02-23<NA>
8가평군갈현목장소33경기도 가평군 설악면 장수로79번길 64-6경기도 가평군 설악면 묵안리 688번지 외1필지(582)37.609205127.5101292024-02-23<NA>
9가평군강만목장소8경기도 가평군 설악면 한서로 111-1경기도 가평군 설악면 창의리 438번지 11호37.672687127.5041732024-02-23<NA>
시군명농장명축종명사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자비고
9636화성시흑염소농장염소8경기도 화성시 우정읍 발라곳1길 45경기도 화성시 우정읍 운평리 512-437.073797126.7731072023-05-15<NA>
9637화성시흥목장소105<NA>경기도 화성시 양감면 대양리 135, 137, 137-4, 138-2<NA><NA>2023-05-15<NA>
9638화성시흥석농장돼지0경기도 화성시 비봉면 푸른들판로1430번길 81경기도 화성시 비봉면 양노리 16-337.225693126.8794362023-05-15<NA>
9639화성시흥우목장소45경기도 화성시 남양읍 남양로 1452-14경기도 화성시 남양읍 수화리 3-537.261815126.8193352023-05-15<NA>
9640화성시흥천목장소12경기도 화성시 장안면 흥천길 116-38경기도 화성시 장안면 사곡리 59637.061619126.8047732023-05-15<NA>
9641화성시희망목장소19경기도 화성시 서신면 매골길 126경기도 화성시 서신면 매화리 66-437.170797126.7152282023-05-15<NA>
9642화성시희망목장소63경기도 화성시 향남읍 구문천2길 88-17경기도 화성시 향남읍 구문천리 187-137.077641126.9049682023-05-15<NA>
9643화성시희야목장소30경기도 화성시 장안면 은골길30번길 9-12경기도 화성시 장안면 어은리 12637.093266126.8375672023-05-15<NA>
9644화성시희주농장돼지2030경기도 화성시 장안면 남양황라로 308-50경기도 화성시 장안면 장안리 195537.021218126.8314812023-05-15<NA>
9645화성시?엘목장소40경기도 화성시 마도면 마도로 173경기도 화성시 마도면 백곡리 285-1, -2, 28637.185593126.7240992023-05-15<NA>