Overview

Dataset statistics

Number of variables9
Number of observations1504
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)0.3%
Total size in memory110.3 KiB
Average record size in memory75.1 B

Variable types

Categorical5
Text1
Numeric3

Dataset

Description강원도 횡성군 축산농가에 대한 정보로 소재지, 사육두수, 위도와 경도 등 위치 정보를 제공합니다. 축종은 한우, 육우, 젖소, 돼지, 염소, 사슴(엘크, 꽃사슴)입니다.
Author강원도 횡성군
URLhttps://www.data.go.kr/data/15091861/fileData.do

Alerts

담당부서 has constant value ""Constant
전화번호 has constant value ""Constant
기준일 has constant value ""Constant
Dataset has 5 (0.3%) duplicate rowsDuplicates
사육두수 is highly overall correlated with 축종-품종High correlation
축종-품종 is highly overall correlated with 사육두수High correlation
업종 is highly imbalanced (90.1%)Imbalance
축종-품종 is highly imbalanced (82.6%)Imbalance
사육두수 is highly skewed (γ1 = 35.51131134)Skewed

Reproduction

Analysis started2023-12-12 02:29:36.313294
Analysis finished2023-12-12 02:29:37.910276
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
가축사육업
1457 
부화업
 
38
가축사육업,기타
 
5
부화업,가축사육업
 
3
가축사육업,동물병원
 
1

Length

Max length10
Median length5
Mean length4.9707447
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 1457
96.9%
부화업 38
 
2.5%
가축사육업,기타 5
 
0.3%
부화업,가축사육업 3
 
0.2%
가축사육업,동물병원 1
 
0.1%

Length

2023-12-12T11:29:37.981321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:38.112934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 1457
96.9%
부화업 38
 
2.5%
가축사육업,기타 5
 
0.3%
부화업,가축사육업 3
 
0.2%
가축사육업,동물병원 1
 
0.1%

소재지(도로명)
Text

Distinct1379
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T11:29:38.473698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length29.226064
Min length17

Characters and Unicode

Total characters43956
Distinct characters150
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1267 ?
Unique (%)84.2%

Sample

1st row강원도 횡성군 갑천면 구방리 860-3(태기로구방2길 30)
2nd row강원도 횡성군 공근면 학담리 483-2(영서로학담1길 1-16)
3rd row강원도 횡성군 갑천면 구방리 891-1(태기로구방2길 64)
4th row강원도 횡성군 갑천면 구방리 362(태기로 1073)
5th row강원도 횡성군 갑천면 구방리 710(태기로구방6길 178-62)
ValueCountFrequency (%)
강원도 1504
 
17.2%
횡성군 1504
 
17.2%
횡성읍 331
 
3.8%
공근면 320
 
3.7%
우천면 227
 
2.6%
갑천면 151
 
1.7%
서원면 136
 
1.6%
둔내면 95
 
1.1%
청일면 87
 
1.0%
안흥면 82
 
0.9%
Other values (2094) 4301
49.2%
2023-12-12T11:29:39.317060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7234
 
16.5%
1 1899
 
4.3%
성 1853
 
4.2%
횡 1838
 
4.2%
강 1737
 
4.0%
원 1733
 
3.9%
도 1536
 
3.5%
리 1504
 
3.4%
군 1504
 
3.4%
2 1429
 
3.3%
Other values (140) 21689
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23174
52.7%
Decimal Number 9824
22.3%
Space Separator 7234
 
16.5%
Dash Punctuation 1338
 
3.0%
Open Punctuation 1193
 
2.7%
Close Punctuation 1193
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 1853
 
8.0%
횡 1838
 
7.9%
강 1737
 
7.5%
원 1733
 
7.5%
도 1536
 
6.6%
리 1504
 
6.5%
군 1504
 
6.5%
면 1173
 
5.1%
로 903
 
3.9%
길 720
 
3.1%
Other values (126) 8673
37.4%
Decimal Number
ValueCountFrequency (%)
1 1899
19.3%
2 1429
14.5%
3 1148
11.7%
4 1001
10.2%
5 910
9.3%
6 778
7.9%
7 735
 
7.5%
9 658
 
6.7%
0 640
 
6.5%
8 626
 
6.4%
Space Separator
ValueCountFrequency (%)
7234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23174
52.7%
Common 20782
47.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 1853
 
8.0%
횡 1838
 
7.9%
강 1737
 
7.5%
원 1733
 
7.5%
도 1536
 
6.6%
리 1504
 
6.5%
군 1504
 
6.5%
면 1173
 
5.1%
로 903
 
3.9%
길 720
 
3.1%
Other values (126) 8673
37.4%
Common
ValueCountFrequency (%)
7234
34.8%
1 1899
 
9.1%
2 1429
 
6.9%
- 1338
 
6.4%
( 1193
 
5.7%
) 1193
 
5.7%
3 1148
 
5.5%
4 1001
 
4.8%
5 910
 
4.4%
6 778
 
3.7%
Other values (4) 2659
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23174
52.7%
ASCII 20782
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7234
34.8%
1 1899
 
9.1%
2 1429
 
6.9%
- 1338
 
6.4%
( 1193
 
5.7%
) 1193
 
5.7%
3 1148
 
5.5%
4 1001
 
4.8%
5 910
 
4.4%
6 778
 
3.7%
Other values (4) 2659
 
12.8%
Hangul
ValueCountFrequency (%)
성 1853
 
8.0%
횡 1838
 
7.9%
강 1737
 
7.5%
원 1733
 
7.5%
도 1536
 
6.6%
리 1504
 
6.5%
군 1504
 
6.5%
면 1173
 
5.1%
로 903
 
3.9%
길 720
 
3.1%
Other values (126) 8673
37.4%

축종-품종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
소-한우
1392 
소-젖소
 
38
염소
 
37
돼지-일반
 
17
소-육우
 
9
Other values (4)
 
11

Length

Max length6
Median length4
Mean length3.9727394
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
소-한우 1392
92.6%
소-젖소 38
 
2.5%
염소 37
 
2.5%
돼지-일반 17
 
1.1%
소-육우 9
 
0.6%
사슴-꽃사슴 5
 
0.3%
사슴-엘크 3
 
0.2%
돼지-종돈 2
 
0.1%
사슴-기타 1
 
0.1%

Length

2023-12-12T11:29:39.537390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:39.716105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소-한우 1392
92.6%
소-젖소 38
 
2.5%
염소 37
 
2.5%
돼지-일반 17
 
1.1%
소-육우 9
 
0.6%
사슴-꽃사슴 5
 
0.3%
사슴-엘크 3
 
0.2%
돼지-종돈 2
 
0.1%
사슴-기타 1
 
0.1%

사육두수
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct217
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.96875
Minimum1
Maximum37984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-12T11:29:39.908790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median27
Q354
95-th percentile165.55
Maximum37984
Range37983
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1008.9343
Coefficient of variation (CV)11.090998
Kurtosis1327.1417
Mean90.96875
Median Absolute Deviation (MAD)19
Skewness35.511311
Sum136817
Variance1017948.3
MonotonicityNot monotonic
2023-12-12T11:29:40.124868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 46
 
3.1%
5 44
 
2.9%
3 41
 
2.7%
6 40
 
2.7%
13 37
 
2.5%
2 36
 
2.4%
7 34
 
2.3%
8 33
 
2.2%
10 33
 
2.2%
9 32
 
2.1%
Other values (207) 1128
75.0%
ValueCountFrequency (%)
1 31
2.1%
2 36
2.4%
3 41
2.7%
4 46
3.1%
5 44
2.9%
6 40
2.7%
7 34
2.3%
8 33
2.2%
9 32
2.1%
10 33
2.2%
ValueCountFrequency (%)
37984 1
0.1%
6000 1
0.1%
4210 1
0.1%
2257 1
0.1%
2100 2
0.1%
2000 1
0.1%
1870 1
0.1%
1700 1
0.1%
1680 1
0.1%
1500 2
0.1%

위도
Real number (ℝ)

Distinct1383
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.506431
Minimum37.32673
Maximum37.661552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-12T11:29:40.316111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.32673
5-th percentile37.38327
Q137.478104
median37.507507
Q337.545286
95-th percentile37.58854
Maximum37.661552
Range0.334822
Interquartile range (IQR)0.06718125

Descriptive statistics

Standard deviation0.056902884
Coefficient of variation (CV)0.0015171501
Kurtosis0.8187036
Mean37.506431
Median Absolute Deviation (MAD)0.031918
Skewness-0.63568149
Sum56409.672
Variance0.0032379382
MonotonicityNot monotonic
2023-12-12T11:29:40.518335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.508705 4
 
0.3%
37.521336 3
 
0.2%
37.483855 3
 
0.2%
37.561136 3
 
0.2%
37.521547 3
 
0.2%
37.582211 3
 
0.2%
37.498236 3
 
0.2%
37.494136 3
 
0.2%
37.565686 2
 
0.1%
37.501241 2
 
0.1%
Other values (1373) 1475
98.1%
ValueCountFrequency (%)
37.32673 1
0.1%
37.329683 2
0.1%
37.3306 1
0.1%
37.330894 1
0.1%
37.330913 1
0.1%
37.33095 1
0.1%
37.331038 1
0.1%
37.333313 1
0.1%
37.333355 1
0.1%
37.334486 1
0.1%
ValueCountFrequency (%)
37.661552 1
0.1%
37.653583 1
0.1%
37.642108 1
0.1%
37.641577 1
0.1%
37.640238 1
0.1%
37.640191 1
0.1%
37.629283 1
0.1%
37.626355 1
0.1%
37.622522 1
0.1%
37.622102 1
0.1%

경도
Real number (ℝ)

Distinct1386
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.04063
Minimum127.79127
Maximum128.2781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.3 KiB
2023-12-12T11:29:40.724344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.79127
5-th percentile127.86298
Q1127.97548
median128.03156
Q3128.11815
95-th percentile128.20338
Maximum128.2781
Range0.486828
Interquartile range (IQR)0.14267275

Descriptive statistics

Standard deviation0.097738572
Coefficient of variation (CV)0.00076334028
Kurtosis-0.46880913
Mean128.04063
Median Absolute Deviation (MAD)0.0672545
Skewness-0.025935555
Sum192573.11
Variance0.0095528285
MonotonicityNot monotonic
2023-12-12T11:29:40.924750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.074588 4
 
0.3%
128.108902 3
 
0.2%
128.218486 3
 
0.2%
127.951805 3
 
0.2%
128.151758 3
 
0.2%
128.116266 3
 
0.2%
128.162213 2
 
0.1%
128.005419 2
 
0.1%
128.056891 2
 
0.1%
127.869538 2
 
0.1%
Other values (1376) 1477
98.2%
ValueCountFrequency (%)
127.791272 1
0.1%
127.791722 1
0.1%
127.792433 1
0.1%
127.806094 1
0.1%
127.80768 1
0.1%
127.808475 1
0.1%
127.809238 1
0.1%
127.813283 1
0.1%
127.813883 1
0.1%
127.814069 1
0.1%
ValueCountFrequency (%)
128.2781 1
0.1%
128.259527 1
0.1%
128.254955 1
0.1%
128.254477 1
0.1%
128.253508 1
0.1%
128.246383 1
0.1%
128.244633 1
0.1%
128.243361 1
0.1%
128.242969 1
0.1%
128.242858 1
0.1%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
축산과
1504 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산과 1504
100.0%

Length

2023-12-12T11:29:41.091338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:41.217193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산과 1504
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
033-340-2397
1504 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-340-2397
2nd row033-340-2397
3rd row033-340-2397
4th row033-340-2397
5th row033-340-2397

Common Values

ValueCountFrequency (%)
033-340-2397 1504
100.0%

Length

2023-12-12T11:29:41.344861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:41.444123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-340-2397 1504
100.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2021-10-12
1504 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-12
2nd row2021-10-12
3rd row2021-10-12
4th row2021-10-12
5th row2021-10-12

Common Values

ValueCountFrequency (%)
2021-10-12 1504
100.0%

Length

2023-12-12T11:29:41.590935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:41.721057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-12 1504
100.0%

Interactions

2023-12-12T11:29:37.321311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:36.686921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:37.009717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:37.450214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:36.809324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:37.112806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:37.581552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:36.912708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:37.213663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:29:41.790063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종축종-품종사육두수위도경도
업종1.0000.0000.0000.1350.039
축종-품종0.0001.0000.8900.2400.208
사육두수0.0000.8901.0000.1400.043
위도0.1350.2400.1401.0000.623
경도0.0390.2080.0430.6231.000
2023-12-12T11:29:42.223288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종-품종업종
축종-품종1.0000.000
업종0.0001.000
2023-12-12T11:29:42.338021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도업종축종-품종
사육두수1.000-0.065-0.0160.0000.620
위도-0.0651.000-0.1390.0560.111
경도-0.016-0.1391.0000.0160.095
업종0.0000.0560.0161.0000.000
축종-품종0.6200.1110.0950.0001.000

Missing values

2023-12-12T11:29:37.730450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:29:37.861229image/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.

Sample

업종소재지(도로명)축종-품종사육두수위도경도담당부서전화번호기준일
0가축사육업강원도 횡성군 갑천면 구방리 860-3(태기로구방2길 30)소-한우1437.52963128.05553축산과033-340-23972021-10-12
1가축사육업강원도 횡성군 공근면 학담리 483-2(영서로학담1길 1-16)소-한우3537.525369127.955533축산과033-340-23972021-10-12
2가축사육업강원도 횡성군 갑천면 구방리 891-1(태기로구방2길 64)소-한우1337.5266128.056122축산과033-340-23972021-10-12
3가축사육업강원도 횡성군 갑천면 구방리 362(태기로 1073)소-한우3237.543116128.073016축산과033-340-23972021-10-12
4가축사육업강원도 횡성군 갑천면 구방리 710(태기로구방6길 178-62)소-한우737.524216128.0671축산과033-340-23972021-10-12
5가축사육업강원도 횡성군 갑천면 대관대리 496-7소-한우837.552377128.027855축산과033-340-23972021-10-12
6가축사육업강원도 횡성군 갑천면 대관대리 409(외갑천로107번길 8-19)소-한우637.555216128.02663축산과033-340-23972021-10-12
7가축사육업강원도 횡성군 갑천면 대관대리 146-1(외갑천로107번길 8)소-한우237.554413128.027716축산과033-340-23972021-10-12
8가축사육업강원도 횡성군 갑천면 대관대리 193-1(외갑천로107번길 21-34)소-한우1537.551386128.026197축산과033-340-23972021-10-12
9가축사육업강원도 횡성군 갑천면 대관대리 219-3(외갑천로107번길 24)소-한우1337.554697128.026347축산과033-340-23972021-10-12
업종소재지(도로명)축종-품종사육두수위도경도담당부서전화번호기준일
1494가축사육업강원도 횡성군 갑천면 대관대리 245-1(외갑천로126번길 24-90)염소5537.552211128.034819축산과033-340-23972021-10-12
1495가축사육업강원도 횡성군 안흥면 소사리 550(덕송로소사2길 37)사슴-꽃사슴637.468141128.158144축산과033-340-23972021-10-12
1496가축사육업강원도 횡성군 갑천면 전촌리 42(외갑천로383번길 90)사슴-엘크1937.569966128.054166축산과033-340-23972021-10-12
1497가축사육업강원도 횡성군 안흥면 상안리 461-5(서동로상안4길 62)사슴-꽃사슴5037.411866128.208605축산과033-340-23972021-10-12
1498가축사육업강원도 횡성군 우천면 정금리 919-1사슴-엘크6037.507861128.101641축산과033-340-23972021-10-12
1499가축사육업강원도 횡성군 안흥면 상안리 753-1(서동로 1441-15)사슴-꽃사슴1437.415994128.18283축산과033-340-23972021-10-12
1500가축사육업강원도 횡성군 우천면 용둔리 512-1사슴-꽃사슴1337.501541128.062122축산과033-340-23972021-10-12
1501가축사육업강원도 횡성군 안흥면 상안리 441(서동로상안4길 137)사슴-꽃사슴1337.405972128.211561축산과033-340-23972021-10-12
1502가축사육업강원도 횡성군 강림면 강림리 156-2(강림북1길 35)사슴-엘크5037.38085128.144733축산과033-340-23972021-10-12
1503가축사육업강원도 횡성군 둔내면 조항리 814사슴-기타137.474755128.190405축산과033-340-23972021-10-12

Duplicate rows

Most frequently occurring

업종소재지(도로명)축종-품종사육두수위도경도담당부서전화번호기준일# duplicates
0가축사육업강원도 횡성군 공근면 삼배리 408-3(금계동로 139)소-한우337.565805127.998336축산과033-340-23972021-10-122
1가축사육업강원도 횡성군 우천면 용둔리 537-1(내용둔길 31)소-한우237.498236128.060266축산과033-340-23972021-10-122
2가축사육업강원도 횡성군 청일면 유동리 893-1(청정로 848-12)소-한우137.582211128.151758축산과033-340-23972021-10-122
3가축사육업강원도 횡성군 횡성읍 갈풍리 239(갈풍길 159)소-한우1237.486136127.943991축산과033-340-23972021-10-122
4가축사육업강원도 횡성군 횡성읍 청용리 278-1(청용5길 80)소-한우337.473297127.990008축산과033-340-23972021-10-122