Overview

Dataset statistics

Number of variables12
Number of observations1387
Missing cells460
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory135.6 KiB
Average record size in memory100.1 B

Variable types

Categorical4
Text3
Numeric4
DateTime1

Alerts

시군명 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
비고 is highly overall correlated with 사육두수(마리) and 6 other fieldsHigh correlation
상세구분 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
축종명 is highly overall correlated with 상세구분 and 1 other fieldsHigh correlation
사육두수(마리) is highly overall correlated with 비고High correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 2 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
비고 is highly imbalanced (61.8%)Imbalance
소재지우편번호 has 37 (2.7%) missing valuesMissing
소재지도로명주소 has 229 (16.5%) missing valuesMissing
WGS84위도 has 94 (6.8%) missing valuesMissing
WGS84경도 has 94 (6.8%) missing valuesMissing
사육두수(마리) has 36 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-10 21:04:22.171167
Analysis finished2024-05-10 21:04:33.668025
Duration11.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
포천시
177 
안성시
157 
화성시
127 
김포시
123 
여주시
110 
Other values (21)
693 

Length

Max length4
Median length3
Mean length3.0209084
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
포천시 177
12.8%
안성시 157
11.3%
화성시 127
9.2%
김포시 123
8.9%
여주시 110
 
7.9%
연천군 103
 
7.4%
용인시 84
 
6.1%
평택시 72
 
5.2%
이천시 71
 
5.1%
양평군 71
 
5.1%
Other values (16) 292
21.1%

Length

2024-05-10T21:04:33.915035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포천시 177
12.8%
안성시 157
11.3%
화성시 127
9.2%
김포시 123
8.9%
여주시 110
 
7.9%
연천군 103
 
7.4%
용인시 84
 
6.1%
평택시 72
 
5.2%
이천시 71
 
5.1%
양평군 71
 
5.1%
Other values (16) 292
21.1%

농장명
Text

Distinct1165
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-05-10T21:04:34.515712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length4.6012978
Min length1

Characters and Unicode

Total characters6382
Distinct characters408
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1025 ?
Unique (%)73.9%

Sample

1st row광진
2nd row다손
3rd row대기농산(유) 농업회사법인
4th row마장
5th row무백
ValueCountFrequency (%)
농업회사법인 31
 
2.1%
농장 23
 
1.5%
대성농장 14
 
0.9%
주식회사 10
 
0.7%
9
 
0.6%
계림농장 7
 
0.5%
제일농장 7
 
0.5%
대박농장 6
 
0.4%
농장명없음 5
 
0.3%
희영농장 5
 
0.3%
Other values (1196) 1384
92.2%
2024-05-10T21:04:35.730766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 1118
 
17.5%
장 1069
 
16.8%
114
 
1.8%
원 112
 
1.8%
산 104
 
1.6%
성 95
 
1.5%
대 77
 
1.2%
계 72
 
1.1%
인 71
 
1.1%
주 71
 
1.1%
Other values (398) 3479
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6081
95.3%
Space Separator 114
 
1.8%
Decimal Number 43
 
0.7%
Other Punctuation 38
 
0.6%
Open Punctuation 37
 
0.6%
Close Punctuation 37
 
0.6%
Uppercase Letter 20
 
0.3%
Dash Punctuation 10
 
0.2%
Letter Number 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 1118
 
18.4%
장 1069
 
17.6%
원 112
 
1.8%
산 104
 
1.7%
성 95
 
1.6%
대 77
 
1.3%
계 72
 
1.2%
인 71
 
1.2%
주 71
 
1.2%
양 66
 
1.1%
Other values (377) 3226
53.1%
Uppercase Letter
ValueCountFrequency (%)
D 6
30.0%
H 3
15.0%
E 2
 
10.0%
S 2
 
10.0%
N 2
 
10.0%
L 1
 
5.0%
A 1
 
5.0%
M 1
 
5.0%
J 1
 
5.0%
C 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 27
62.8%
1 10
 
23.3%
3 5
 
11.6%
5 1
 
2.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Other Punctuation
ValueCountFrequency (%)
* 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6082
95.3%
Common 279
 
4.4%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 1118
 
18.4%
장 1069
 
17.6%
원 112
 
1.8%
산 104
 
1.7%
성 95
 
1.6%
대 77
 
1.3%
계 72
 
1.2%
인 71
 
1.2%
주 71
 
1.2%
양 66
 
1.1%
Other values (378) 3227
53.1%
Latin
ValueCountFrequency (%)
D 6
28.6%
H 3
14.3%
E 2
 
9.5%
S 2
 
9.5%
N 2
 
9.5%
L 1
 
4.8%
A 1
 
4.8%
M 1
 
4.8%
J 1
 
4.8%
Ⅱ 1
 
4.8%
Common
ValueCountFrequency (%)
114
40.9%
* 38
 
13.6%
( 37
 
13.3%
) 37
 
13.3%
2 27
 
9.7%
1 10
 
3.6%
- 10
 
3.6%
3 5
 
1.8%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6081
95.3%
ASCII 299
 
4.7%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 1118
 
18.4%
장 1069
 
17.6%
원 112
 
1.8%
산 104
 
1.7%
성 95
 
1.6%
대 77
 
1.3%
계 72
 
1.2%
인 71
 
1.2%
주 71
 
1.2%
양 66
 
1.1%
Other values (377) 3226
53.1%
ASCII
ValueCountFrequency (%)
114
38.1%
* 38
 
12.7%
( 37
 
12.4%
) 37
 
12.4%
2 27
 
9.0%
1 10
 
3.3%
- 10
 
3.3%
D 6
 
2.0%
3 5
 
1.7%
H 3
 
1.0%
Other values (9) 12
 
4.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

축종명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
닭
747 
육계
301 
종계/산란계
129 
가금
 
68
오리
 
55
Other values (12)
87 

Length

Max length6
Median length1
Mean length1.9358327
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
닭 747
53.9%
육계 301
21.7%
종계/산란계 129
 
9.3%
가금 68
 
4.9%
오리 55
 
4.0%
메추리 24
 
1.7%
종계+산란계 20
 
1.4%
종계업 11
 
0.8%
산란계 11
 
0.8%
꿩 6
 
0.4%
Other values (7) 15
 
1.1%

Length

2024-05-10T21:04:36.183624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
닭 747
53.9%
육계 301
21.7%
종계/산란계 129
 
9.3%
가금 68
 
4.9%
오리 55
 
4.0%
메추리 24
 
1.7%
종계+산란계 20
 
1.4%
산란계 11
 
0.8%
종계업 11
 
0.8%
꿩 6
 
0.4%
Other values (7) 15
 
1.1%

상세구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
육계
676 
산란계
290 
<NA>
226 
닭
73 
종계
 
62
Other values (6)
 
60

Length

Max length4
Median length2
Mean length2.4996395
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육계 676
48.7%
산란계 290
20.9%
<NA> 226
 
16.3%
닭 73
 
5.3%
종계 62
 
4.5%
토종닭 23
 
1.7%
오리 23
 
1.7%
웅추 5
 
0.4%
꿩 5
 
0.4%
백세미 2
 
0.1%

Length

2024-05-10T21:04:36.593965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
육계 676
48.7%
산란계 290
20.9%
na 226
 
16.3%
닭 73
 
5.3%
종계 62
 
4.5%
토종닭 23
 
1.7%
오리 23
 
1.7%
웅추 5
 
0.4%
꿩 5
 
0.4%
백세미 2
 
0.1%

사육두수(마리)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct355
Distinct (%)25.7%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean43133.947
Minimum0
Maximum985728
Zeros36
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-10T21:04:36.974358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.05
Q16000
median29427
Q350000
95-th percentile137982.55
Maximum985728
Range985728
Interquartile range (IQR)44000

Descriptive statistics

Standard deviation74149.271
Coefficient of variation (CV)1.7190467
Kurtosis49.402962
Mean43133.947
Median Absolute Deviation (MAD)21427
Skewness5.9218889
Sum59611115
Variance5.4981144 × 109
MonotonicityNot monotonic
2024-05-10T21:04:37.342628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 83
 
6.0%
50000 64
 
4.6%
40000 55
 
4.0%
20000 46
 
3.3%
60000 42
 
3.0%
35000 36
 
2.6%
0 36
 
2.6%
45000 34
 
2.5%
25000 29
 
2.1%
15000 27
 
1.9%
Other values (345) 930
67.1%
ValueCountFrequency (%)
0 36
2.6%
2 2
 
0.1%
3 1
 
0.1%
4 4
 
0.3%
5 5
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
8 2
 
0.1%
9 3
 
0.2%
10 9
 
0.6%
ValueCountFrequency (%)
985728 1
0.1%
783000 1
0.1%
755774 1
0.1%
754240 1
0.1%
600000 1
0.1%
589500 1
0.1%
570960 1
0.1%
515000 1
0.1%
507600 1
0.1%
500000 1
0.1%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct543
Distinct (%)40.2%
Missing37
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean13975.858
Minimum10000
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-10T21:04:37.972456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10040
Q111107
median12608
Q317507
95-th percentile18544
Maximum18632
Range8632
Interquartile range (IQR)6400

Descriptive statistics

Standard deviation3129.625
Coefficient of variation (CV)0.2239308
Kurtosis-1.6687865
Mean13975.858
Median Absolute Deviation (MAD)2548
Skewness0.23678736
Sum18867408
Variance9794552.8
MonotonicityNot monotonic
2024-05-10T21:04:38.311361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11134 20
 
1.4%
11102 19
 
1.4%
15208 15
 
1.1%
11130 15
 
1.1%
17508 15
 
1.1%
11045 14
 
1.0%
10030 14
 
1.0%
11009 13
 
0.9%
12607 12
 
0.9%
12532 11
 
0.8%
Other values (533) 1202
86.7%
(Missing) 37
 
2.7%
ValueCountFrequency (%)
10000 1
 
0.1%
10001 1
 
0.1%
10002 2
 
0.1%
10004 1
 
0.1%
10005 2
 
0.1%
10006 5
0.4%
10008 1
 
0.1%
10010 5
0.4%
10012 2
 
0.1%
10013 3
0.2%
ValueCountFrequency (%)
18632 5
0.4%
18630 2
 
0.1%
18629 1
 
0.1%
18628 1
 
0.1%
18627 5
0.4%
18626 5
0.4%
18624 2
 
0.1%
18623 3
0.2%
18608 1
 
0.1%
18588 1
 
0.1%

소재지도로명주소
Text

MISSING 

Distinct1135
Distinct (%)98.0%
Missing229
Missing (%)16.5%
Memory size11.0 KiB
2024-05-10T21:04:38.915962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length43
Mean length23.35924
Min length13

Characters and Unicode

Total characters27050
Distinct characters327
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1114 ?
Unique (%)96.2%

Sample

1st row경기도 가평군 설악면 유명로 1090-246
2nd row경기도 가평군 북면 화악지암길 223-16
3rd row경기도 가평군 가평읍 석봉로3번길 160-58
4th row경기도 가평군 가평읍 잎너비길 35-237
5th row경기도 가평군 북면 화악지암길 223-109
ValueCountFrequency (%)
경기도 1158
 
19.1%
포천시 168
 
2.8%
안성시 150
 
2.5%
여주시 98
 
1.6%
연천군 91
 
1.5%
용인시 84
 
1.4%
처인구 83
 
1.4%
화성시 83
 
1.4%
양평군 67
 
1.1%
김포시 67
 
1.1%
Other values (1948) 4029
66.3%
2024-05-10T21:04:39.882538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4920
 
18.2%
기 1186
 
4.4%
도 1178
 
4.4%
경 1171
 
4.3%
1 1079
 
4.0%
시 983
 
3.6%
면 779
 
2.9%
2 776
 
2.9%
길 682
 
2.5%
로 636
 
2.4%
Other values (317) 13660
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15839
58.6%
Decimal Number 5471
 
20.2%
Space Separator 4920
 
18.2%
Dash Punctuation 579
 
2.1%
Close Punctuation 98
 
0.4%
Open Punctuation 98
 
0.4%
Other Punctuation 42
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1186
 
7.5%
도 1178
 
7.4%
경 1171
 
7.4%
시 983
 
6.2%
면 779
 
4.9%
길 682
 
4.3%
로 636
 
4.0%
번 506
 
3.2%
천 421
 
2.7%
성 329
 
2.1%
Other values (299) 7968
50.3%
Decimal Number
ValueCountFrequency (%)
1 1079
19.7%
2 776
14.2%
3 611
11.2%
4 542
9.9%
6 483
8.8%
5 466
8.5%
7 405
 
7.4%
9 385
 
7.0%
8 381
 
7.0%
0 343
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
Q 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
4920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 579
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15839
58.6%
Common 11208
41.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1186
 
7.5%
도 1178
 
7.4%
경 1171
 
7.4%
시 983
 
6.2%
면 779
 
4.9%
길 682
 
4.3%
로 636
 
4.0%
번 506
 
3.2%
천 421
 
2.7%
성 329
 
2.1%
Other values (299) 7968
50.3%
Common
ValueCountFrequency (%)
4920
43.9%
1 1079
 
9.6%
2 776
 
6.9%
3 611
 
5.5%
- 579
 
5.2%
4 542
 
4.8%
6 483
 
4.3%
5 466
 
4.2%
7 405
 
3.6%
9 385
 
3.4%
Other values (5) 962
 
8.6%
Latin
ValueCountFrequency (%)
B 1
33.3%
Q 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15839
58.6%
ASCII 11211
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4920
43.9%
1 1079
 
9.6%
2 776
 
6.9%
3 611
 
5.5%
- 579
 
5.2%
4 542
 
4.8%
6 483
 
4.3%
5 466
 
4.2%
7 405
 
3.6%
9 385
 
3.4%
Other values (8) 965
 
8.6%
Hangul
ValueCountFrequency (%)
기 1186
 
7.5%
도 1178
 
7.4%
경 1171
 
7.4%
시 983
 
6.2%
면 779
 
4.9%
길 682
 
4.3%
로 636
 
4.0%
번 506
 
3.2%
천 421
 
2.7%
성 329
 
2.1%
Other values (299) 7968
50.3%

소재지지번주소
Text

Distinct1360
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-05-10T21:04:40.558229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length22.814708
Min length14

Characters and Unicode

Total characters31644
Distinct characters290
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1336 ?
Unique (%)96.3%

Sample

1st row경기도 가평군 설악면 위곡리 373-3
2nd row경기도 가평군 설악면 천안리 126-1
3rd row경기도 가평군 설악면 천안리 3-4번지
4th row경기도 가평군 북면 화악리 255번지
5th row경기도 가평군 가평읍 대곡리 594번지
ValueCountFrequency (%)
경기도 1387
 
18.3%
포천시 177
 
2.3%
안성시 157
 
2.1%
화성시 127
 
1.7%
김포시 123
 
1.6%
여주시 110
 
1.5%
연천군 103
 
1.4%
1호 94
 
1.2%
용인시 84
 
1.1%
처인구 83
 
1.1%
Other values (2140) 5115
67.7%
2024-05-10T21:04:41.765064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6192
19.6%
도 1426
 
4.5%
기 1399
 
4.4%
경 1390
 
4.4%
시 1197
 
3.8%
1 1101
 
3.5%
리 1096
 
3.5%
면 904
 
2.9%
지 761
 
2.4%
2 753
 
2.4%
Other values (280) 15425
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18887
59.7%
Space Separator 6192
 
19.6%
Decimal Number 5644
 
17.8%
Dash Punctuation 577
 
1.8%
Other Punctuation 160
 
0.5%
Open Punctuation 89
 
0.3%
Close Punctuation 89
 
0.3%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1426
 
7.6%
기 1399
 
7.4%
경 1390
 
7.4%
시 1197
 
6.3%
리 1096
 
5.8%
면 904
 
4.8%
지 761
 
4.0%
번 654
 
3.5%
천 454
 
2.4%
성 392
 
2.1%
Other values (262) 9214
48.8%
Decimal Number
ValueCountFrequency (%)
1 1101
19.5%
2 753
13.3%
3 624
11.1%
4 598
10.6%
5 510
9.0%
7 465
8.2%
6 454
8.0%
9 393
 
7.0%
8 388
 
6.9%
0 358
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
Q 2
33.3%
B 2
33.3%
Space Separator
ValueCountFrequency (%)
6192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 577
100.0%
Other Punctuation
ValueCountFrequency (%)
, 160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18887
59.7%
Common 12751
40.3%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1426
 
7.6%
기 1399
 
7.4%
경 1390
 
7.4%
시 1197
 
6.3%
리 1096
 
5.8%
면 904
 
4.8%
지 761
 
4.0%
번 654
 
3.5%
천 454
 
2.4%
성 392
 
2.1%
Other values (262) 9214
48.8%
Common
ValueCountFrequency (%)
6192
48.6%
1 1101
 
8.6%
2 753
 
5.9%
3 624
 
4.9%
4 598
 
4.7%
- 577
 
4.5%
5 510
 
4.0%
7 465
 
3.6%
6 454
 
3.6%
9 393
 
3.1%
Other values (5) 1084
 
8.5%
Latin
ValueCountFrequency (%)
E 2
33.3%
Q 2
33.3%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18887
59.7%
ASCII 12757
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6192
48.5%
1 1101
 
8.6%
2 753
 
5.9%
3 624
 
4.9%
4 598
 
4.7%
- 577
 
4.5%
5 510
 
4.0%
7 465
 
3.6%
6 454
 
3.6%
9 393
 
3.1%
Other values (8) 1090
 
8.5%
Hangul
ValueCountFrequency (%)
도 1426
 
7.6%
기 1399
 
7.4%
경 1390
 
7.4%
시 1197
 
6.3%
리 1096
 
5.8%
면 904
 
4.8%
지 761
 
4.0%
번 654
 
3.5%
천 454
 
2.4%
성 392
 
2.1%
Other values (262) 9214
48.8%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1245
Distinct (%)96.3%
Missing94
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean37.493016
Minimum36.926282
Maximum38.229436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-10T21:04:42.174641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.926282
5-th percentile37.000671
Q137.15474
median37.404049
Q337.826644
95-th percentile38.078597
Maximum38.229436
Range1.303154
Interquartile range (IQR)0.6719041

Descriptive statistics

Standard deviation0.37084317
Coefficient of variation (CV)0.0098909932
Kurtosis-1.3320095
Mean37.493016
Median Absolute Deviation (MAD)0.2994185
Skewness0.26314603
Sum48478.47
Variance0.13752466
MonotonicityNot monotonic
2024-05-10T21:04:42.610882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.417389959 3
 
0.2%
36.9640675842 3
 
0.2%
37.3417271834 3
 
0.2%
37.1177905233 3
 
0.2%
37.8765885131 2
 
0.1%
37.0953129425 2
 
0.1%
37.8460390961 2
 
0.1%
37.1233846807 2
 
0.1%
37.0407737381 2
 
0.1%
37.0754160481 2
 
0.1%
Other values (1235) 1269
91.5%
(Missing) 94
 
6.8%
ValueCountFrequency (%)
36.9262824124 1
0.1%
36.9287914859 2
0.1%
36.9312256739 1
0.1%
36.9333182751 2
0.1%
36.9342969441 1
0.1%
36.9383954885 2
0.1%
36.9407279369 1
0.1%
36.9411889137 1
0.1%
36.9433101201 1
0.1%
36.9434702962 1
0.1%
ValueCountFrequency (%)
38.2294364114 1
0.1%
38.2253894873 1
0.1%
38.2030352764 1
0.1%
38.2015048012 1
0.1%
38.1911123506 1
0.1%
38.163098216 1
0.1%
38.1599679629 1
0.1%
38.1593446758 1
0.1%
38.1591073216 1
0.1%
38.15803733 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1245
Distinct (%)96.3%
Missing94
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean127.14018
Minimum126.52878
Maximum127.79436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-10T21:04:43.026489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52878
5-th percentile126.60153
Q1126.88459
median127.15977
Q3127.37245
95-th percentile127.64347
Maximum127.79436
Range1.2655777
Interquartile range (IQR)0.48785899

Descriptive statistics

Standard deviation0.31277641
Coefficient of variation (CV)0.002460091
Kurtosis-0.90914542
Mean127.14018
Median Absolute Deviation (MAD)0.25725538
Skewness0.022876276
Sum164392.25
Variance0.09782908
MonotonicityNot monotonic
2024-05-10T21:04:43.415071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1406611891 3
 
0.2%
127.2083512331 3
 
0.2%
126.8538181034 3
 
0.2%
127.1197945656 3
 
0.2%
127.0288165178 2
 
0.1%
126.9744626358 2
 
0.1%
127.0122801477 2
 
0.1%
126.98303788 2
 
0.1%
127.3429463956 2
 
0.1%
126.8469469912 2
 
0.1%
Other values (1235) 1269
91.5%
(Missing) 94
 
6.8%
ValueCountFrequency (%)
126.5287836788 1
0.1%
126.5291529365 1
0.1%
126.5343697164 1
0.1%
126.5391946813 1
0.1%
126.5399324052 1
0.1%
126.5424079582 1
0.1%
126.5447803995 1
0.1%
126.5477331705 1
0.1%
126.5479494349 1
0.1%
126.5498148989 1
0.1%
ValueCountFrequency (%)
127.7943614125 1
0.1%
127.7884186961 1
0.1%
127.7769441841 1
0.1%
127.7768312179 1
0.1%
127.775490747 1
0.1%
127.7741179391 1
0.1%
127.7732974033 1
0.1%
127.7695034399 1
0.1%
127.7658047768 1
0.1%
127.765543766 1
0.1%

데이터기준일자
Date

Distinct22
Distinct (%)1.6%
Missing1
Missing (%)0.1%
Memory size11.0 KiB
Minimum2019-12-02 00:00:00
Maximum2024-04-30 00:00:00
2024-05-10T21:04:43.784396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:44.110133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1284 
운영
 
103

Length

Max length4
Median length4
Mean length3.851478
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> 1284
92.6%
운영 103
 
7.4%

Length

2024-05-10T21:04:44.519386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:04:44.866881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1284
92.6%
운영 103
 
7.4%

Interactions

2024-05-10T21:04:30.917274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:27.443958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:28.657058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:29.718905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:31.176938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:27.824625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:28.925138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:29.953767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:31.413652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:28.081993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:29.176275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:30.219202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:31.706044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:28.367026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:29.437345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:04:30.537999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:04:45.071154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명축종명상세구분사육두수(마리)소재지우편번호WGS84위도WGS84경도데이터기준일자
시군명1.0000.8710.8980.0001.0000.9260.9071.000
축종명0.8711.0000.8710.3710.7910.6590.5800.847
상세구분0.8980.8711.0000.1210.8020.6350.5990.922
사육두수(마리)0.0000.3710.1211.0000.0000.1150.1090.000
소재지우편번호1.0000.7910.8020.0001.0000.9160.8760.982
WGS84위도0.9260.6590.6350.1150.9161.0000.7730.913
WGS84경도0.9070.5800.5990.1090.8760.7731.0000.881
데이터기준일자1.0000.8470.9220.0000.9820.9130.8811.000
2024-05-10T21:04:45.379872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명비고상세구분축종명
시군명1.0001.0000.6070.476
비고1.0001.0001.0001.000
상세구분0.6071.0001.0000.641
축종명0.4761.0000.6411.000
2024-05-10T21:04:45.651329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수(마리)소재지우편번호WGS84위도WGS84경도시군명축종명상세구분비고
사육두수(마리)1.0000.076-0.0040.3060.0000.1610.0611.000
소재지우편번호0.0761.000-0.8630.2280.9740.4600.3671.000
WGS84위도-0.004-0.8631.000-0.1260.6730.3280.2411.000
WGS84경도0.3060.228-0.1261.0000.6240.2700.2211.000
시군명0.0000.9740.6730.6241.0000.4760.6071.000
축종명0.1610.4600.3280.2700.4761.0000.6411.000
상세구분0.0610.3670.2410.2210.6070.6411.0001.000
비고1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-05-10T21:04:32.205324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:04:32.835993image/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.
2024-05-10T21:04:33.281468image/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

시군명농장명축종명상세구분사육두수(마리)소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도데이터기준일자비고
0가평군광진닭육계3000012463<NA>경기도 가평군 설악면 위곡리 373-337.652283127.516952023-08-07<NA>
1가평군다손닭육계4500012469<NA>경기도 가평군 설악면 천안리 126-137.634784127.4833062023-08-07<NA>
2가평군대기농산(유) 농업회사법인닭산란계23000012469경기도 가평군 설악면 유명로 1090-246경기도 가평군 설악면 천안리 3-4번지37.636182127.4879292023-08-07<NA>
3가평군마장닭웅추9600012402경기도 가평군 북면 화악지암길 223-16경기도 가평군 북면 화악리 255번지37.944249127.5749462023-08-07<NA>
4가평군무백닭육계3500012416경기도 가평군 가평읍 석봉로3번길 160-58경기도 가평군 가평읍 대곡리 594번지37.826778127.4941712023-08-07<NA>
5가평군밀마운트닭산란계10012439<NA>경기도 가평군 조종면 대보리 419-12737.818978127.3663712023-08-07<NA>
6가평군상원닭육계2500012411경기도 가평군 가평읍 잎너비길 35-237경기도 가평군 가평읍 읍내리 87번지37.850401127.5115152023-08-07<NA>
7가평군상철닭웅추12000012402경기도 가평군 북면 화악지암길 223-109경기도 가평군 북면 화악리 270-3번지37.943232127.5733742023-08-07<NA>
8가평군새벽숲닭산란계75012432경기도 가평군 조종면 꽃동네길 19-26경기도 가평군 조종면 운악리 530번지37.882522127.3525432023-08-07<NA>
9가평군샘골닭육계3370012472경기도 가평군 설악면 평촌길 136경기도 가평군 설악면 방일리 605번지37.611369127.4985722023-08-07<NA>
시군명농장명축종명상세구분사육두수(마리)소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도데이터기준일자비고
1377화성시향촌농원닭산란계300018517<NA>경기도 화성시 정남면 발산리 646-337.152198126.9861772023-05-15<NA>
1378화성시현대농장닭육계6000018545경기도 화성시 송산면 개매기길 149경기도 화성시 송산면 독지리 31837.247318126.6861122023-05-15<NA>
1379화성시형수농장닭육계1000018278경기도 화성시 남양읍 활초길109번길 46-35경기도 화성시 남양읍 활초리 산187-237.161177126.837382023-05-15<NA>
1380화성시형제농장닭육계6000018632경기도 화성시 양감면 솔미마을길 148경기도 화성시 양감면 대양리 111-237.094376126.9487452023-05-15<NA>
1381화성시호계농장닭종계1450018628<NA>경기도 화성시 양감면 송산리 440,440-137.107839126.9858492023-05-15<NA>
1382화성시화성농장닭종계2500018279경기도 화성시 남양읍 현대기아로 166-18경기도 화성시 남양읍 온석리 499-4,-9,-1037.164148126.8481442023-05-15<NA>
1383화성시화성양계장닭종계3000018583경기도 화성시 장안면 장안로 454-7경기도 화성시 장안면 독정리 221-1, -2, 222, 223, 235-2(장안로 454-7)37.076626126.8639022023-05-15<NA>
1384화성시황기농장닭육계018515<NA>경기도 화성시 정남면 덕절리 96-1,97-1,97-2,116-1<NA><NA>2023-05-15<NA>
1385화성시희망축산닭육계524018279경기도 화성시 남양읍 온석길 44-32경기도 화성시 남양읍 온석리 49237.164264126.8528062023-05-15<NA>
1386화성시희산농장닭육계3000018277경기도 화성시 남양읍 고향의봄길216번길 78-17경기도 화성시 남양읍 신남리 155237.178787126.8224132023-05-15<NA>