Overview

Dataset statistics

Number of variables9
Number of observations1369
Missing cells1457
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.1 KiB
Average record size in memory74.1 B

Variable types

Text5
Categorical2
Numeric2

Dataset

Description충청남도 부여군에서 관리하는 축산 및 가금류 농가정보(농장명, 농장규모, 사육두수, 도로명주소, 대표자명, 가축종류 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=396&beforeMenuCd=DOM_000000201001001000&publicdatapk=15047891

Alerts

데이터기준일자 has constant value ""Constant
사육두수 is highly overall correlated with 규모High correlation
규모 is highly overall correlated with 사육두수High correlation
축종 is highly imbalanced (62.5%)Imbalance
소재지(도로명) has 723 (52.8%) missing valuesMissing
연락처 has 734 (53.6%) missing valuesMissing
사육두수 has 35 (2.6%) zerosZeros

Reproduction

Analysis started2024-01-09 21:52:47.382240
Analysis finished2024-01-09 21:52:48.448337
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct1061
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-01-10T06:52:48.617907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.2615047
Min length2

Characters and Unicode

Total characters5834
Distinct characters346
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique876 ?
Unique (%)64.0%

Sample

1st row신안농장
2nd row백제양돈영농조합법인
3rd row달성양돈
4th row동이농장
5th row부운팜
ValueCountFrequency (%)
우리농장 15
 
1.1%
한우농장 13
 
0.9%
청송농장 10
 
0.7%
라복농장 8
 
0.6%
농장 8
 
0.6%
가중농장 7
 
0.5%
수목농장 7
 
0.5%
부부농장 6
 
0.4%
거전농장 6
 
0.4%
나령농장 6
 
0.4%
Other values (1062) 1310
93.8%
2024-01-10T06:52:48.939143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1184
20.3%
농 1037
 
17.8%
산 189
 
3.2%
목 163
 
2.8%
축 130
 
2.2%
우 89
 
1.5%
성 75
 
1.3%
원 74
 
1.3%
영 72
 
1.2%
정 67
 
1.1%
Other values (336) 2754
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5784
99.1%
Space Separator 27
 
0.5%
Decimal Number 12
 
0.2%
Uppercase Letter 4
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1184
20.5%
농 1037
 
17.9%
산 189
 
3.3%
목 163
 
2.8%
축 130
 
2.2%
우 89
 
1.5%
성 75
 
1.3%
원 74
 
1.3%
영 72
 
1.2%
정 67
 
1.2%
Other values (324) 2704
46.7%
Decimal Number
ValueCountFrequency (%)
2 8
66.7%
3 2
 
16.7%
6 1
 
8.3%
5 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
C 1
25.0%
S 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5784
99.1%
Common 46
 
0.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1184
20.5%
농 1037
 
17.9%
산 189
 
3.3%
목 163
 
2.8%
축 130
 
2.2%
우 89
 
1.5%
성 75
 
1.3%
원 74
 
1.3%
영 72
 
1.2%
정 67
 
1.2%
Other values (324) 2704
46.7%
Common
ValueCountFrequency (%)
27
58.7%
2 8
 
17.4%
( 3
 
6.5%
) 3
 
6.5%
3 2
 
4.3%
6 1
 
2.2%
5 1
 
2.2%
& 1
 
2.2%
Latin
ValueCountFrequency (%)
K 1
25.0%
C 1
25.0%
S 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5784
99.1%
ASCII 50
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1184
20.5%
농 1037
 
17.9%
산 189
 
3.3%
목 163
 
2.8%
축 130
 
2.2%
우 89
 
1.5%
성 75
 
1.3%
원 74
 
1.3%
영 72
 
1.2%
정 67
 
1.2%
Other values (324) 2704
46.7%
ASCII
ValueCountFrequency (%)
27
54.0%
2 8
 
16.0%
( 3
 
6.0%
) 3
 
6.0%
3 2
 
4.0%
6 1
 
2.0%
5 1
 
2.0%
K 1
 
2.0%
& 1
 
2.0%
C 1
 
2.0%
Other values (2) 2
 
4.0%

축종
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
한우
1088 
육계
109 
염소
 
46
젖소
 
45
돼지
 
41
Other values (5)
 
40

Length

Max length3
Median length2
Mean length2.0080351
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 1088
79.5%
육계 109
 
8.0%
염소 46
 
3.4%
젖소 45
 
3.3%
돼지 41
 
3.0%
산란계 11
 
0.8%
사슴 10
 
0.7%
산양 10
 
0.7%
육우 7
 
0.5%
오리 2
 
0.1%

Length

2024-01-10T06:52:49.276130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:52:49.366394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 1088
79.5%
육계 109
 
8.0%
염소 46
 
3.4%
젖소 45
 
3.3%
돼지 41
 
3.0%
산란계 11
 
0.8%
사슴 10
 
0.7%
산양 10
 
0.7%
육우 7
 
0.5%
오리 2
 
0.1%

사육두수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct182
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3812.3492
Minimum0
Maximum300000
Zeros35
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-01-10T06:52:49.473366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median20
Q351
95-th percentile32600
Maximum300000
Range300000
Interquartile range (IQR)43

Descriptive statistics

Standard deviation16572.168
Coefficient of variation (CV)4.3469701
Kurtosis93.445267
Mean3812.3492
Median Absolute Deviation (MAD)15
Skewness7.6947032
Sum5219106
Variance2.7463675 × 108
MonotonicityNot monotonic
2024-01-10T06:52:49.624784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 71
 
5.2%
30 71
 
5.2%
20 68
 
5.0%
5 56
 
4.1%
7 45
 
3.3%
4 43
 
3.1%
6 42
 
3.1%
8 42
 
3.1%
50 42
 
3.1%
3 40
 
2.9%
Other values (172) 849
62.0%
ValueCountFrequency (%)
0 35
2.6%
1 9
 
0.7%
2 32
2.3%
3 40
2.9%
4 43
3.1%
5 56
4.1%
6 42
3.1%
7 45
3.3%
8 42
3.1%
9 21
 
1.5%
ValueCountFrequency (%)
300000 1
 
0.1%
160000 1
 
0.1%
142000 1
 
0.1%
140000 1
 
0.1%
100000 3
0.2%
99000 1
 
0.1%
90000 1
 
0.1%
88000 1
 
0.1%
80000 2
0.1%
75000 2
0.1%

규모
Real number (ℝ)

HIGH CORRELATION 

Distinct991
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean903.78655
Minimum0
Maximum33810.52
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-01-10T06:52:49.774725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.2
Q1151.29
median375.95
Q31025
95-th percentile3269.3
Maximum33810.52
Range33810.52
Interquartile range (IQR)873.71

Descriptive statistics

Standard deviation1712.1591
Coefficient of variation (CV)1.8944286
Kurtosis142.91675
Mean903.78655
Median Absolute Deviation (MAD)290.95
Skewness9.3210468
Sum1237283.8
Variance2931488.6
MonotonicityNot monotonic
2024-01-10T06:52:49.878322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 14
 
1.0%
330.0 13
 
0.9%
250.0 12
 
0.9%
350.0 11
 
0.8%
500.0 11
 
0.8%
50.0 10
 
0.7%
96.0 10
 
0.7%
80.0 9
 
0.7%
150.0 9
 
0.7%
48.0 9
 
0.7%
Other values (981) 1261
92.1%
ValueCountFrequency (%)
0.0 2
0.1%
13.0 1
0.1%
15.0 2
0.1%
18.0 2
0.1%
20.0 1
0.1%
21.2 1
0.1%
22.1 1
0.1%
22.55 1
0.1%
23.0 1
0.1%
24.0 1
0.1%
ValueCountFrequency (%)
33810.52 1
0.1%
26400.0 1
0.1%
14428.23 1
0.1%
14302.06 1
0.1%
11517.44 1
0.1%
10458.77 1
0.1%
9750.0 1
0.1%
7978.1 1
0.1%
7375.0 2
0.1%
7323.6 1
0.1%

소재지(도로명)
Text

MISSING 

Distinct611
Distinct (%)94.6%
Missing723
Missing (%)52.8%
Memory size10.8 KiB
2024-01-10T06:52:50.107445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length23.010836
Min length18

Characters and Unicode

Total characters14865
Distinct characters157
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

Unique582 ?
Unique (%)90.1%

Sample

1st row충청남도 부여군 은산면 회곡저실로 55
2nd row충청남도 부여군 장암면 위덕로 588-23
3rd row충청남도 부여군 초촌면 선사로226번길 16
4th row충청남도 부여군 옥산면 옥산북로 285
5th row충청남도 부여군 홍산면 조현로43번길 85-53
ValueCountFrequency (%)
충청남도 646
20.0%
부여군 646
20.0%
은산면 135
 
4.2%
규암면 56
 
1.7%
부여읍 54
 
1.7%
장암면 48
 
1.5%
초촌면 47
 
1.5%
남면 43
 
1.3%
외산면 41
 
1.3%
세도면 39
 
1.2%
Other values (839) 1475
45.7%
2024-01-10T06:52:50.446389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2584
17.4%
충 760
 
5.1%
남 737
 
5.0%
부 711
 
4.8%
도 706
 
4.7%
여 700
 
4.7%
청 650
 
4.4%
군 646
 
4.3%
로 638
 
4.3%
면 592
 
4.0%
Other values (147) 6141
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9094
61.2%
Decimal Number 2821
 
19.0%
Space Separator 2584
 
17.4%
Dash Punctuation 366
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 760
 
8.4%
남 737
 
8.1%
부 711
 
7.8%
도 706
 
7.8%
여 700
 
7.7%
청 650
 
7.1%
군 646
 
7.1%
로 638
 
7.0%
면 592
 
6.5%
길 305
 
3.4%
Other values (135) 2649
29.1%
Decimal Number
ValueCountFrequency (%)
1 514
18.2%
2 362
12.8%
3 351
12.4%
4 276
9.8%
5 255
9.0%
6 246
8.7%
9 216
7.7%
7 215
7.6%
8 205
 
7.3%
0 181
 
6.4%
Space Separator
ValueCountFrequency (%)
2584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9094
61.2%
Common 5771
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 760
 
8.4%
남 737
 
8.1%
부 711
 
7.8%
도 706
 
7.8%
여 700
 
7.7%
청 650
 
7.1%
군 646
 
7.1%
로 638
 
7.0%
면 592
 
6.5%
길 305
 
3.4%
Other values (135) 2649
29.1%
Common
ValueCountFrequency (%)
2584
44.8%
1 514
 
8.9%
- 366
 
6.3%
2 362
 
6.3%
3 351
 
6.1%
4 276
 
4.8%
5 255
 
4.4%
6 246
 
4.3%
9 216
 
3.7%
7 215
 
3.7%
Other values (2) 386
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9094
61.2%
ASCII 5771
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2584
44.8%
1 514
 
8.9%
- 366
 
6.3%
2 362
 
6.3%
3 351
 
6.1%
4 276
 
4.8%
5 255
 
4.4%
6 246
 
4.3%
9 216
 
3.7%
7 215
 
3.7%
Other values (2) 386
 
6.7%
Hangul
ValueCountFrequency (%)
충 760
 
8.4%
남 737
 
8.1%
부 711
 
7.8%
도 706
 
7.8%
여 700
 
7.7%
청 650
 
7.1%
군 646
 
7.1%
로 638
 
7.0%
면 592
 
6.5%
길 305
 
3.4%
Other values (135) 2649
29.1%

소재지(지번)
Text

Distinct1308
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-01-10T06:52:50.690573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length25.389335
Min length4

Characters and Unicode

Total characters34758
Distinct characters154
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

Unique1265 ?
Unique (%)92.4%

Sample

1st row충청남도 부여군 은산면 회곡리 213번지
2nd row충청남도 부여군 장암면 상황리 53번지 15호
3rd row충청남도 부여군 초촌면 송국리 221번지 1호
4th row충청남도 부여군 옥산면 학산리 191번지
5th row충청남도 부여군 홍산면 조현리 478번지 5호
ValueCountFrequency (%)
충청남도 1351
 
17.7%
부여군 1351
 
17.7%
은산면 300
 
3.9%
1호 256
 
3.4%
규암면 135
 
1.8%
2호 131
 
1.7%
장암면 100
 
1.3%
3호 99
 
1.3%
부여읍 96
 
1.3%
초촌면 93
 
1.2%
Other values (883) 3711
48.7%
2024-01-10T06:52:51.027846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9028
26.0%
부 1453
 
4.2%
여 1453
 
4.2%
남 1438
 
4.1%
도 1433
 
4.1%
지 1419
 
4.1%
충 1404
 
4.0%
청 1383
 
4.0%
번 1366
 
3.9%
군 1361
 
3.9%
Other values (144) 13020
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21047
60.6%
Space Separator 9028
26.0%
Decimal Number 4662
 
13.4%
Dash Punctuation 13
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1453
 
6.9%
여 1453
 
6.9%
남 1438
 
6.8%
도 1433
 
6.8%
지 1419
 
6.7%
충 1404
 
6.7%
청 1383
 
6.6%
번 1366
 
6.5%
군 1361
 
6.5%
리 1350
 
6.4%
Other values (129) 6987
33.2%
Decimal Number
ValueCountFrequency (%)
1 896
19.2%
2 625
13.4%
3 599
12.8%
4 480
10.3%
5 429
9.2%
6 371
8.0%
8 333
 
7.1%
9 318
 
6.8%
7 316
 
6.8%
0 295
 
6.3%
Space Separator
ValueCountFrequency (%)
9028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21047
60.6%
Common 13711
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1453
 
6.9%
여 1453
 
6.9%
남 1438
 
6.8%
도 1433
 
6.8%
지 1419
 
6.7%
충 1404
 
6.7%
청 1383
 
6.6%
번 1366
 
6.5%
군 1361
 
6.5%
리 1350
 
6.4%
Other values (129) 6987
33.2%
Common
ValueCountFrequency (%)
9028
65.8%
1 896
 
6.5%
2 625
 
4.6%
3 599
 
4.4%
4 480
 
3.5%
5 429
 
3.1%
6 371
 
2.7%
8 333
 
2.4%
9 318
 
2.3%
7 316
 
2.3%
Other values (5) 316
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21047
60.6%
ASCII 13711
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9028
65.8%
1 896
 
6.5%
2 625
 
4.6%
3 599
 
4.4%
4 480
 
3.5%
5 429
 
3.1%
6 371
 
2.7%
8 333
 
2.4%
9 318
 
2.3%
7 316
 
2.3%
Other values (5) 316
 
2.3%
Hangul
ValueCountFrequency (%)
부 1453
 
6.9%
여 1453
 
6.9%
남 1438
 
6.8%
도 1433
 
6.8%
지 1419
 
6.7%
충 1404
 
6.7%
청 1383
 
6.6%
번 1366
 
6.5%
군 1361
 
6.5%
리 1350
 
6.4%
Other values (129) 6987
33.2%

대표자
Text

Distinct1257
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-01-10T06:52:51.261983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.1994156
Min length2

Characters and Unicode

Total characters4380
Distinct characters245
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

Unique1156 ?
Unique (%)84.4%

Sample

1st row신현길
2nd row백제양돈영농조합법인
3rd row박태동
4th row김경수
5th row이덕휘
ValueCountFrequency (%)
농업회사법인 11
 
0.8%
주식회사 8
 
0.6%
김종국 5
 
0.4%
김영태 4
 
0.3%
김영훈 3
 
0.2%
장춘순 3
 
0.2%
김영숙 3
 
0.2%
박도희 3
 
0.2%
이창훈 3
 
0.2%
한호현 3
 
0.2%
Other values (1251) 1344
96.7%
2024-01-10T06:52:51.603585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 267
 
6.1%
이 259
 
5.9%
영 136
 
3.1%
정 113
 
2.6%
박 94
 
2.1%
조 88
 
2.0%
종 81
 
1.8%
현 69
 
1.6%
상 68
 
1.6%
용 68
 
1.6%
Other values (235) 3137
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4351
99.3%
Space Separator 21
 
0.5%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 267
 
6.1%
이 259
 
6.0%
영 136
 
3.1%
정 113
 
2.6%
박 94
 
2.2%
조 88
 
2.0%
종 81
 
1.9%
현 69
 
1.6%
상 68
 
1.6%
용 68
 
1.6%
Other values (232) 3108
71.4%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4351
99.3%
Common 29
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 267
 
6.1%
이 259
 
6.0%
영 136
 
3.1%
정 113
 
2.6%
박 94
 
2.2%
조 88
 
2.0%
종 81
 
1.9%
현 69
 
1.6%
상 68
 
1.6%
용 68
 
1.6%
Other values (232) 3108
71.4%
Common
ValueCountFrequency (%)
21
72.4%
) 4
 
13.8%
( 4
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4351
99.3%
ASCII 29
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 267
 
6.1%
이 259
 
6.0%
영 136
 
3.1%
정 113
 
2.6%
박 94
 
2.2%
조 88
 
2.0%
종 81
 
1.9%
현 69
 
1.6%
상 68
 
1.6%
용 68
 
1.6%
Other values (232) 3108
71.4%
ASCII
ValueCountFrequency (%)
21
72.4%
) 4
 
13.8%
( 4
 
13.8%

연락처
Text

MISSING 

Distinct613
Distinct (%)96.5%
Missing734
Missing (%)53.6%
Memory size10.8 KiB
2024-01-10T06:52:51.809984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters7620
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique592 ?
Unique (%)93.2%

Sample

1st row041-832-8260
2nd row041-834-4378
3rd row041-833-6576
4th row041-836-6466
5th row041-835-9926
ValueCountFrequency (%)
041-833-1710 3
 
0.5%
041-833-3565 2
 
0.3%
041-833-0304 2
 
0.3%
041-833-7083 2
 
0.3%
041-953-7532 2
 
0.3%
041-833-1743 2
 
0.3%
041-832-4521 2
 
0.3%
041-836-4651 2
 
0.3%
041-835-3370 2
 
0.3%
041-832-6347 2
 
0.3%
Other values (603) 614
96.7%
2024-01-10T06:52:52.102241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1270
16.7%
3 1082
14.2%
4 1010
13.3%
1 914
12.0%
0 871
11.4%
8 859
11.3%
2 458
 
6.0%
6 401
 
5.3%
5 298
 
3.9%
7 235
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6350
83.3%
Dash Punctuation 1270
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1082
17.0%
4 1010
15.9%
1 914
14.4%
0 871
13.7%
8 859
13.5%
2 458
7.2%
6 401
 
6.3%
5 298
 
4.7%
7 235
 
3.7%
9 222
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 1270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7620
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1270
16.7%
3 1082
14.2%
4 1010
13.3%
1 914
12.0%
0 871
11.4%
8 859
11.3%
2 458
 
6.0%
6 401
 
5.3%
5 298
 
3.9%
7 235
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1270
16.7%
3 1082
14.2%
4 1010
13.3%
1 914
12.0%
0 871
11.4%
8 859
11.3%
2 458
 
6.0%
6 401
 
5.3%
5 298
 
3.9%
7 235
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2021-09-24
1369 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-24
2nd row2021-09-24
3rd row2021-09-24
4th row2021-09-24
5th row2021-09-24

Common Values

ValueCountFrequency (%)
2021-09-24 1369
100.0%

Length

2024-01-10T06:52:52.211586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:52:52.282479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-24 1369
100.0%

Interactions

2024-01-10T06:52:48.025701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:52:47.877852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:52:48.098270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:52:47.949849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:52:52.327617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종사육두수규모
축종1.0000.5340.334
사육두수0.5341.0000.809
규모0.3340.8091.000
2024-01-10T06:52:52.392423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수규모축종
사육두수1.0000.7300.305
규모0.7301.0000.176
축종0.3050.1761.000

Missing values

2024-01-10T06:52:48.215778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:52:48.326626image/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.
2024-01-10T06:52:48.408657image/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

농장명축종사육두수규모소재지(도로명)소재지(지번)대표자연락처데이터기준일자
0신안농장돼지18002769.22충청남도 부여군 은산면 회곡저실로 55충청남도 부여군 은산면 회곡리 213번지신현길<NA>2021-09-24
1백제양돈영농조합법인돼지80007323.6충청남도 부여군 장암면 위덕로 588-23충청남도 부여군 장암면 상황리 53번지 15호백제양돈영농조합법인<NA>2021-09-24
2달성양돈돼지5501485.0충청남도 부여군 초촌면 선사로226번길 16충청남도 부여군 초촌면 송국리 221번지 1호박태동041-832-82602021-09-24
3동이농장돼지11502015.88충청남도 부여군 옥산면 옥산북로 285충청남도 부여군 옥산면 학산리 191번지김경수041-834-43782021-09-24
4부운팜돼지3504933.0충청남도 부여군 홍산면 조현로43번길 85-53충청남도 부여군 홍산면 조현리 478번지 5호이덕휘<NA>2021-09-24
5죽림농장돼지23001494.5<NA>충청남도 부여군 세도면 동사리 725번지장춘순<NA>2021-09-24
6명현축산돼지15002847.0<NA>충청남도 부여군 부여읍 송곡리 28번지한경란<NA>2021-09-24
7석성농장돼지10001158.8<NA>충청남도 부여군 석성면 증산리 1198번지 1호한경란<NA>2021-09-24
8명현석성농장돼지10001158.8충청남도 부여군 석성면 종북로 33-37충청남도 부여군 석성면 증산리 1198번지 1호박종도<NA>2021-09-24
9초촌농장돼지9001429.59충청남도 부여군 초촌면 응신길 39충청남도 부여군 초촌면 응평리 449번지농업회사법인(주)해피피그<NA>2021-09-24
농장명축종사육두수규모소재지(도로명)소재지(지번)대표자연락처데이터기준일자
1359박종희농장한우30747.72<NA>충청남도 부여군 양화면 암수리 29번지박종희<NA>2021-09-24
1360삼원농장한우496.0<NA>충청남도 부여군 외산면 문신리 669번지 1호유제흥<NA>2021-09-24
1361내지농장한우50252.8<NA>충청남도 부여군 은산면 내지리 576번지 3호임종열<NA>2021-09-24
1362두곡농장한우702100.0<NA>충청남도 부여군 임천면 칠산리 123번지 12호권병동<NA>2021-09-24
1363한울농장한우556.8<NA>충청남도 부여군 외산면 복덕리 114번지 2호고완재<NA>2021-09-24
1364우리농장한우7442.5충청남도 부여군 석성면 연화로 50-9충청남도 부여군 석성면 증산리 120번지 1호이영찬<NA>2021-09-24
1365오악사한우농장한우1001540.2<NA>충청남도 부여군 규암면 나복리 875번지 5호유지항<NA>2021-09-24
1366나우농장한우37299.41<NA>충청남도 부여군 부여읍 왕포리 176번지 1호김성배<NA>2021-09-24
1367석성농장한우30700.0<NA>충청남도 부여군 석성면 석성리 209번지 3호이만근<NA>2021-09-24
1368나복농장한우6500.0<NA>충청남도 부여군 규암면 나복리 167번지 3호황수영<NA>2021-09-24