Overview

Dataset statistics

Number of variables9
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory76.2 B

Variable types

Categorical6
Text1
Numeric2

Dataset

Description강원도 횡성군 가금농가에 대한 정보로 소재지, 사육두수, 위도와 경도 등 위치 정보를 제공합니다. 축종은 산란계, 육계, 토종닭, 꿩, 메추리입니다.
Author강원도 횡성군
URLhttps://www.data.go.kr/data/15091862/fileData.do

Alerts

담당부서 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일 has constant value ""Constant
업종 is highly overall correlated with 축종-품종 and 1 other fieldsHigh correlation
축종-품종 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
사육두수 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly imbalanced (87.8%)Imbalance
소재지(도로명) has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:38:48.736237
Analysis finished2023-12-12 06:38:49.748000
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
가축사육업
59 
종계업
 
1

Length

Max length5
Median length5
Mean length4.9666667
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 59
98.3%
종계업 1
 
1.7%

Length

2023-12-12T15:38:49.826514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:49.942088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 59
98.3%
종계업 1
 
1.7%

소재지(도로명)
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T15:38:50.156465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length27.916667
Min length18

Characters and Unicode

Total characters1675
Distinct characters107
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

Unique60 ?
Unique (%)100.0%

Sample

1st row강원도 횡성군 횡성읍 반곡리 537(광학로 272-24)
2nd row강원도 횡성군 횡성읍 반곡리 486(광학로 293-30)
3rd row강원도 횡성군 횡성읍 반곡리 543-1(광학로 248)
4th row강원도 횡성군 서원면 압곡리 296-2(압곡로 117)
5th row강원도 횡성군 공근면 신촌리 573(경강로신촌1길 48-16)
ValueCountFrequency (%)
강원도 60
 
17.6%
횡성군 60
 
17.6%
횡성읍 13
 
3.8%
공근면 9
 
2.6%
둔내면 7
 
2.1%
서원면 6
 
1.8%
우천면 6
 
1.8%
안흥면 6
 
1.8%
반곡리 5
 
1.5%
갑천면 5
 
1.5%
Other values (142) 164
48.1%
2023-12-12T15:38:50.553054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
16.8%
강 75
 
4.5%
성 73
 
4.4%
횡 73
 
4.4%
1 72
 
4.3%
원 71
 
4.2%
군 60
 
3.6%
도 60
 
3.6%
리 60
 
3.6%
2 59
 
3.5%
Other values (97) 791
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
53.1%
Decimal Number 377
22.5%
Space Separator 281
 
16.8%
Dash Punctuation 45
 
2.7%
Open Punctuation 41
 
2.4%
Close Punctuation 41
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 75
 
8.4%
성 73
 
8.2%
횡 73
 
8.2%
원 71
 
8.0%
군 60
 
6.7%
도 60
 
6.7%
리 60
 
6.7%
면 47
 
5.3%
로 28
 
3.1%
길 25
 
2.8%
Other values (83) 318
35.7%
Decimal Number
ValueCountFrequency (%)
1 72
19.1%
2 59
15.6%
4 47
12.5%
3 42
11.1%
7 31
8.2%
9 30
8.0%
6 28
 
7.4%
5 28
 
7.4%
8 23
 
6.1%
0 17
 
4.5%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
53.1%
Common 785
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 75
 
8.4%
성 73
 
8.2%
횡 73
 
8.2%
원 71
 
8.0%
군 60
 
6.7%
도 60
 
6.7%
리 60
 
6.7%
면 47
 
5.3%
로 28
 
3.1%
길 25
 
2.8%
Other values (83) 318
35.7%
Common
ValueCountFrequency (%)
281
35.8%
1 72
 
9.2%
2 59
 
7.5%
4 47
 
6.0%
- 45
 
5.7%
3 42
 
5.4%
( 41
 
5.2%
) 41
 
5.2%
7 31
 
3.9%
9 30
 
3.8%
Other values (4) 96
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
53.1%
ASCII 785
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
35.8%
1 72
 
9.2%
2 59
 
7.5%
4 47
 
6.0%
- 45
 
5.7%
3 42
 
5.4%
( 41
 
5.2%
) 41
 
5.2%
7 31
 
3.9%
9 30
 
3.8%
Other values (4) 96
 
12.2%
Hangul
ValueCountFrequency (%)
강 75
 
8.4%
성 73
 
8.2%
횡 73
 
8.2%
원 71
 
8.0%
군 60
 
6.7%
도 60
 
6.7%
리 60
 
6.7%
면 47
 
5.3%
로 28
 
3.1%
길 25
 
2.8%
Other values (83) 318
35.7%

축종-품종
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
닭-토종닭
42 
닭-산란계
7 
닭-종계
 
3
메추리
 
3
닭-육계
 
2
Other values (2)
 
3

Length

Max length6
Median length5
Mean length4.7
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row닭-산란계
2nd row닭-산란계
3rd row닭-산란계
4th row닭-산란계
5th row닭-산란중추

Common Values

ValueCountFrequency (%)
닭-토종닭 42
70.0%
닭-산란계 7
 
11.7%
닭-종계 3
 
5.0%
메추리 3
 
5.0%
닭-육계 2
 
3.3%
꿩 2
 
3.3%
닭-산란중추 1
 
1.7%

Length

2023-12-12T15:38:50.704403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:50.854568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
닭-토종닭 42
70.0%
닭-산란계 7
 
11.7%
닭-종계 3
 
5.0%
메추리 3
 
5.0%
닭-육계 2
 
3.3%
꿩 2
 
3.3%
닭-산란중추 1
 
1.7%

사육두수
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
50
14 
100
5 
60
4 
70
4 
65
 
3
Other values (23)
30 

Length

Max length7
Median length2
Mean length3.2833333
Min length2

Unique

Unique17 ?
Unique (%)28.3%

Sample

1st row200,000
2nd row190,000
3rd row160,000
4th row80,000
5th row53,000

Common Values

ValueCountFrequency (%)
50 14
23.3%
100 5
 
8.3%
60 4
 
6.7%
70 4
 
6.7%
65 3
 
5.0%
80 3
 
5.0%
57 2
 
3.3%
150 2
 
3.3%
20,000 2
 
3.3%
40,000 2
 
3.3%
Other values (18) 19
31.7%

Length

2023-12-12T15:38:51.008424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
50 14
23.3%
100 5
 
8.3%
60 4
 
6.7%
70 4
 
6.7%
65 3
 
5.0%
80 3
 
5.0%
20,000 2
 
3.3%
200,000 2
 
3.3%
40,000 2
 
3.3%
150 2
 
3.3%
Other values (18) 19
31.7%

위도
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.489497
Minimum37.349897
Maximum37.601797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T15:38:51.148735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.349897
5-th percentile37.383436
Q137.459977
median37.486346
Q337.52983
95-th percentile37.580419
Maximum37.601797
Range0.2519
Interquartile range (IQR)0.069853

Descriptive statistics

Standard deviation0.058396784
Coefficient of variation (CV)0.0015576838
Kurtosis0.044505509
Mean37.489497
Median Absolute Deviation (MAD)0.035272
Skewness-0.2420623
Sum2249.3698
Variance0.0034101844
MonotonicityNot monotonic
2023-12-12T15:38:51.319021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.465097 2
 
3.3%
37.465055 1
 
1.7%
37.560719 1
 
1.7%
37.451558 1
 
1.7%
37.409711 1
 
1.7%
37.601797 1
 
1.7%
37.473486 1
 
1.7%
37.512305 1
 
1.7%
37.474755 1
 
1.7%
37.46428 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
37.349897 1
1.7%
37.358627 1
1.7%
37.364083 1
1.7%
37.384455 1
1.7%
37.386883 1
1.7%
37.409711 1
1.7%
37.41648 1
1.7%
37.436944 1
1.7%
37.447641 1
1.7%
37.449652 1
1.7%
ValueCountFrequency (%)
37.601797 1
1.7%
37.600386 1
1.7%
37.5917 1
1.7%
37.579825 1
1.7%
37.579586 1
1.7%
37.577541 1
1.7%
37.574536 1
1.7%
37.560719 1
1.7%
37.551222 1
1.7%
37.539144 1
1.7%

경도
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.05189
Minimum127.8091
Maximum128.26055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T15:38:51.484365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.8091
5-th percentile127.89122
Q1127.95001
median128.04752
Q3128.15056
95-th percentile128.21473
Maximum128.26055
Range0.451452
Interquartile range (IQR)0.20055075

Descriptive statistics

Standard deviation0.11285013
Coefficient of variation (CV)0.00088128437
Kurtosis-1.1425903
Mean128.05189
Median Absolute Deviation (MAD)0.100043
Skewness-0.066138856
Sum7683.1133
Variance0.012735151
MonotonicityNot monotonic
2023-12-12T15:38:51.625680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.946675 1
 
1.7%
127.923686 1
 
1.7%
127.954783 1
 
1.7%
127.845811 1
 
1.7%
128.163966 1
 
1.7%
127.958863 1
 
1.7%
127.942533 1
 
1.7%
127.901741 1
 
1.7%
128.190405 1
 
1.7%
128.152977 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
127.8091 1
1.7%
127.845811 1
1.7%
127.888358 1
1.7%
127.891366 1
1.7%
127.901741 1
1.7%
127.911736 1
1.7%
127.921641 1
1.7%
127.923686 1
1.7%
127.942533 1
1.7%
127.942952 1
1.7%
ValueCountFrequency (%)
128.260552 1
1.7%
128.236469 1
1.7%
128.226841 1
1.7%
128.214091 1
1.7%
128.196075 1
1.7%
128.19483 1
1.7%
128.194411 1
1.7%
128.190405 1
1.7%
128.171102 1
1.7%
128.1695 1
1.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
축산과
60 

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 60
100.0%

Length

2023-12-12T15:38:51.858848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:51.959646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산과 60
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
033-340-2397
60 

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 60
100.0%

Length

2023-12-12T15:38:52.089003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:52.211859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-340-2397 60
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2021-10-12
60 

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 60
100.0%

Length

2023-12-12T15:38:52.323601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:52.445760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-12 60
100.0%

Interactions

2023-12-12T15:38:49.303260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:38:49.063038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:38:49.405968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:38:49.185557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:38:52.549578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종소재지(도로명)축종-품종사육두수위도경도
업종1.0001.0001.0001.0000.0000.000
소재지(도로명)1.0001.0001.0001.0001.0001.000
축종-품종1.0001.0001.0000.9310.0000.000
사육두수1.0001.0000.9311.0000.0000.000
위도0.0001.0000.0000.0001.0000.196
경도0.0001.0000.0000.0000.1961.000
2023-12-12T15:38:52.684070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수업종축종-품종
사육두수1.0000.7430.509
업종0.7431.0000.956
축종-품종0.5090.9561.000
2023-12-12T15:38:52.800580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종축종-품종사육두수
위도1.000-0.0320.0000.0000.000
경도-0.0321.0000.0000.0000.000
업종0.0000.0001.0000.9560.743
축종-품종0.0000.0000.9561.0000.509
사육두수0.0000.0000.7430.5091.000

Missing values

2023-12-12T15:38:49.547365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:38:49.686802image/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-품종사육두수위도경도담당부서전화번호데이터기준일
0가축사육업강원도 횡성군 횡성읍 반곡리 537(광학로 272-24)닭-산란계200,00037.465055127.946675축산과033-340-23972021-10-12
1가축사육업강원도 횡성군 횡성읍 반곡리 486(광학로 293-30)닭-산란계190,00037.469505127.9438축산과033-340-23972021-10-12
2가축사육업강원도 횡성군 횡성읍 반곡리 543-1(광학로 248)닭-산란계160,00037.465097127.94488축산과033-340-23972021-10-12
3가축사육업강원도 횡성군 서원면 압곡리 296-2(압곡로 117)닭-산란계80,00037.481227127.888358축산과033-340-23972021-10-12
4종계업강원도 횡성군 공근면 신촌리 573(경강로신촌1길 48-16)닭-산란중추53,00037.515716127.955688축산과033-340-23972021-10-12
5가축사육업강원도 횡성군 횡성읍 반곡리 521(광학로 294-16)닭-육계40,00037.467691127.948491축산과033-340-23972021-10-12
6가축사육업강원도 횡성군 횡성읍 청용리 394(청용4길 59)닭-산란계33,00037.465097127.982638축산과033-340-23972021-10-12
7가축사육업강원도 횡성군 횡성읍 묵계리 14닭-육계23,70037.474383127.985055축산과033-340-23972021-10-12
8가축사육업강원도 횡성군 안흥면 지구리 202-2(상터로 185)닭-종계20,00037.436944128.19483축산과033-340-23972021-10-12
9가축사육업강원도 횡성군 서원면 금대리 1-14닭-산란계20,00037.515616127.921641축산과033-340-23972021-10-12
업종소재지(도로명)축종-품종사육두수위도경도담당부서전화번호데이터기준일
50가축사육업강원도 횡성군 둔내면 석문리 422-1(석문길 11)닭-토종닭5037.5336128.226841축산과033-340-23972021-10-12
51가축사육업강원도 횡성군 청일면 고시리 209(큰고시길 41)닭-토종닭5037.579586128.196075축산과033-340-23972021-10-12
52가축사육업강원도 횡성군 둔내면 우용리 362(고원남로 107-27)닭-토종닭5037.501241128.214091축산과033-340-23972021-10-12
53가축사육업강원도 횡성군 우천면 법주리 569닭-토종닭5037.449694128.041972축산과033-340-23972021-10-12
54가축사육업강원도 횡성군 강림면 강림리 866-2닭-토종닭5037.364083128.127569축산과033-340-23972021-10-12
55가축사육업강원도 횡성군 횡성읍 조곡리 433-3(우시장1길 52)꿩8037.495533128.010794축산과033-340-23972021-10-12
56가축사육업강원도 횡성군 공근면 학담리 587-7(학담서로 165)꿩6537.53008127.945016축산과033-340-23972021-10-12
57가축사육업강원도 횡성군 공근면 행정리 4-2(항재로 274-56)메추리40,00037.579825127.963572축산과033-340-23972021-10-12
58가축사육업강원도 횡성군 청일면 유동리 302(유동북길 110-36)메추리200,00037.5917128.1695축산과033-340-23972021-10-12
59가축사육업강원도 횡성군 우천면 오원리 30-2(오원소사길 576-83)메추리210,00037.449652128.130947축산과033-340-23972021-10-12