Overview

Dataset statistics

Number of variables6
Number of observations337
Missing cells161
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Text2
Categorical2

Dataset

Description평창군 축산업 현황에 대한 데이터로 지번주소, 도로명주소, 주사육업종, 사육두수 항목에 대한 데이터를 제공합니다.
Author강원도 평창군
URLhttps://www.data.go.kr/data/15080639/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
주사육업종 is highly imbalanced (68.5%)Imbalance
도로명주소 has 161 (47.8%) missing valuesMissing
순번 has unique valuesUnique
사육두수 has 32 (9.5%) zerosZeros

Reproduction

Analysis started2023-12-12 21:02:48.247125
Analysis finished2023-12-12 21:02:48.973231
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct337
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169
Minimum1
Maximum337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T06:02:49.042011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.8
Q185
median169
Q3253
95-th percentile320.2
Maximum337
Range336
Interquartile range (IQR)168

Descriptive statistics

Standard deviation97.427751
Coefficient of variation (CV)0.57649557
Kurtosis-1.2
Mean169
Median Absolute Deviation (MAD)84
Skewness0
Sum56953
Variance9492.1667
MonotonicityStrictly increasing
2023-12-13T06:02:49.153499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
223 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
Other values (327) 327
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%

지번주소
Text

Distinct333
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T06:02:49.351087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length22.451039
Min length6

Characters and Unicode

Total characters7566
Distinct characters100
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)97.6%

Sample

1st row강원도 평창군 평창읍 종부리 617-3
2nd row강원도 평창군 평창읍 종부리 613-3
3rd row 강원도 평창군 미탄면 백운리 440번지 5호
4th row강원도 평창군 평창읍 약수리 78-31
5th row강원도 평창군 진부면 송정리 2214-5
ValueCountFrequency (%)
강원도 336
19.1%
평창군 336
19.1%
평창읍 113
 
6.4%
미탄면 51
 
2.9%
대화면 48
 
2.7%
산 41
 
2.3%
종부리 32
 
1.8%
대관령면 32
 
1.8%
봉평면 25
 
1.4%
진부면 24
 
1.4%
Other values (409) 724
41.1%
2023-12-13T06:02:49.659128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1843
24.4%
평 509
 
6.7%
창 463
 
6.1%
도 345
 
4.6%
원 344
 
4.5%
강 336
 
4.4%
군 336
 
4.4%
리 336
 
4.4%
1 258
 
3.4%
면 224
 
3.0%
Other values (90) 2572
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4336
57.3%
Space Separator 1843
24.4%
Decimal Number 1220
 
16.1%
Dash Punctuation 166
 
2.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 509
11.7%
창 463
 
10.7%
도 345
 
8.0%
원 344
 
7.9%
강 336
 
7.7%
군 336
 
7.7%
리 336
 
7.7%
면 224
 
5.2%
읍 113
 
2.6%
대 97
 
2.2%
Other values (77) 1233
28.4%
Decimal Number
ValueCountFrequency (%)
1 258
21.1%
2 173
14.2%
4 127
10.4%
3 124
10.2%
5 117
9.6%
7 103
 
8.4%
6 97
 
8.0%
8 87
 
7.1%
9 72
 
5.9%
0 62
 
5.1%
Space Separator
ValueCountFrequency (%)
1843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4336
57.3%
Common 3230
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 509
11.7%
창 463
 
10.7%
도 345
 
8.0%
원 344
 
7.9%
강 336
 
7.7%
군 336
 
7.7%
리 336
 
7.7%
면 224
 
5.2%
읍 113
 
2.6%
대 97
 
2.2%
Other values (77) 1233
28.4%
Common
ValueCountFrequency (%)
1843
57.1%
1 258
 
8.0%
2 173
 
5.4%
- 166
 
5.1%
4 127
 
3.9%
3 124
 
3.8%
5 117
 
3.6%
7 103
 
3.2%
6 97
 
3.0%
8 87
 
2.7%
Other values (3) 135
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4336
57.3%
ASCII 3230
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1843
57.1%
1 258
 
8.0%
2 173
 
5.4%
- 166
 
5.1%
4 127
 
3.9%
3 124
 
3.8%
5 117
 
3.6%
7 103
 
3.2%
6 97
 
3.0%
8 87
 
2.7%
Other values (3) 135
 
4.2%
Hangul
ValueCountFrequency (%)
평 509
11.7%
창 463
 
10.7%
도 345
 
8.0%
원 344
 
7.9%
강 336
 
7.7%
군 336
 
7.7%
리 336
 
7.7%
면 224
 
5.2%
읍 113
 
2.6%
대 97
 
2.2%
Other values (77) 1233
28.4%

도로명주소
Text

MISSING 

Distinct173
Distinct (%)98.3%
Missing161
Missing (%)47.8%
Memory size2.8 KiB
2023-12-13T06:02:49.972482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.426136
Min length18

Characters and Unicode

Total characters3771
Distinct characters158
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

Unique170 ?
Unique (%)96.6%

Sample

1st row강원도 평창군 평창읍 종부로 143-20
2nd row강원도 평창군 평창읍 약수1길 31
3rd row강원도 평창군 진부면 윗쌀면길 37
4th row강원도 평창군 평창읍 종부로 225
5th row강원도 평창군 미탄면 맷대길 269
ValueCountFrequency (%)
강원도 176
20.0%
평창군 176
20.0%
평창읍 57
 
6.5%
대화면 34
 
3.9%
미탄면 20
 
2.3%
대관령면 17
 
1.9%
방림면 13
 
1.5%
진부면 13
 
1.5%
봉평면 12
 
1.4%
용평면 10
 
1.1%
Other values (277) 352
40.0%
2023-12-13T06:02:50.479640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
714
18.9%
평 271
 
7.2%
창 241
 
6.4%
강 188
 
5.0%
원 183
 
4.9%
도 180
 
4.8%
군 176
 
4.7%
1 143
 
3.8%
길 133
 
3.5%
면 122
 
3.2%
Other values (148) 1420
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2265
60.1%
Space Separator 714
 
18.9%
Decimal Number 685
 
18.2%
Dash Punctuation 107
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 271
12.0%
창 241
 
10.6%
강 188
 
8.3%
원 183
 
8.1%
도 180
 
7.9%
군 176
 
7.8%
길 133
 
5.9%
면 122
 
5.4%
대 65
 
2.9%
읍 57
 
2.5%
Other values (136) 649
28.7%
Decimal Number
ValueCountFrequency (%)
1 143
20.9%
2 108
15.8%
3 86
12.6%
6 63
9.2%
5 61
8.9%
4 57
 
8.3%
9 45
 
6.6%
0 43
 
6.3%
8 42
 
6.1%
7 37
 
5.4%
Space Separator
ValueCountFrequency (%)
714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2265
60.1%
Common 1506
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 271
12.0%
창 241
 
10.6%
강 188
 
8.3%
원 183
 
8.1%
도 180
 
7.9%
군 176
 
7.8%
길 133
 
5.9%
면 122
 
5.4%
대 65
 
2.9%
읍 57
 
2.5%
Other values (136) 649
28.7%
Common
ValueCountFrequency (%)
714
47.4%
1 143
 
9.5%
2 108
 
7.2%
- 107
 
7.1%
3 86
 
5.7%
6 63
 
4.2%
5 61
 
4.1%
4 57
 
3.8%
9 45
 
3.0%
0 43
 
2.9%
Other values (2) 79
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2265
60.1%
ASCII 1506
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
714
47.4%
1 143
 
9.5%
2 108
 
7.2%
- 107
 
7.1%
3 86
 
5.7%
6 63
 
4.2%
5 61
 
4.1%
4 57
 
3.8%
9 45
 
3.0%
0 43
 
2.9%
Other values (2) 79
 
5.2%
Hangul
ValueCountFrequency (%)
평 271
12.0%
창 241
 
10.6%
강 188
 
8.3%
원 183
 
8.1%
도 180
 
7.9%
군 176
 
7.8%
길 133
 
5.9%
면 122
 
5.4%
대 65
 
2.9%
읍 57
 
2.5%
Other values (136) 649
28.7%

주사육업종
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
한우
287 
젖소
 
16
돼지
 
11
종계/산란계
 
7
산양
 
5
Other values (4)
 
11

Length

Max length8
Median length4
Mean length4.0830861
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 한우
2nd row 한우
3rd row 한우
4th row 한우
5th row 한우

Common Values

ValueCountFrequency (%)
한우 287
85.2%
젖소 16
 
4.7%
돼지 11
 
3.3%
종계/산란계 7
 
2.1%
산양 5
 
1.5%
면양 4
 
1.2%
사슴 3
 
0.9%
육계 2
 
0.6%
염소 2
 
0.6%

Length

2023-12-13T06:02:50.643259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:50.769403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 287
85.2%
젖소 16
 
4.7%
돼지 11
 
3.3%
종계/산란계 7
 
2.1%
산양 5
 
1.5%
면양 4
 
1.2%
사슴 3
 
0.9%
육계 2
 
0.6%
염소 2
 
0.6%

사육두수
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.2819
Minimum0
Maximum14727
Zeros32
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T06:02:50.879600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median21
Q374
95-th percentile350.2
Maximum14727
Range14727
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1210.5942
Coefficient of variation (CV)5.3499384
Kurtosis82.294022
Mean226.2819
Median Absolute Deviation (MAD)18
Skewness8.5286622
Sum76257
Variance1465538.4
MonotonicityNot monotonic
2023-12-13T06:02:51.031141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
9.5%
10 15
 
4.5%
5 11
 
3.3%
1 10
 
3.0%
9 9
 
2.7%
15 9
 
2.7%
25 9
 
2.7%
3 8
 
2.4%
4 8
 
2.4%
30 7
 
2.1%
Other values (107) 219
65.0%
ValueCountFrequency (%)
0 32
9.5%
1 10
 
3.0%
2 7
 
2.1%
3 8
 
2.4%
4 8
 
2.4%
5 11
 
3.3%
6 6
 
1.8%
7 6
 
1.8%
8 7
 
2.1%
9 9
 
2.7%
ValueCountFrequency (%)
14727 1
0.3%
10000 1
0.3%
8000 1
0.3%
7214 1
0.3%
4800 1
0.3%
4775 1
0.3%
3892 1
0.3%
3000 1
0.3%
1344 1
0.3%
1013 1
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2022-09-19
337 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-19
2nd row2022-09-19
3rd row2022-09-19
4th row2022-09-19
5th row2022-09-19

Common Values

ValueCountFrequency (%)
2022-09-19 337
100.0%

Length

2023-12-13T06:02:51.164388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:51.269213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-19 337
100.0%

Interactions

2023-12-13T06:02:48.652447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:48.478275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:48.742112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:48.568340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:02:51.344301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번주사육업종사육두수
순번1.0000.2790.000
주사육업종0.2791.0000.518
사육두수0.0000.5181.000
2023-12-13T06:02:51.450283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사육두수주사육업종
순번1.000-0.4880.130
사육두수-0.4881.0000.304
주사육업종0.1300.3041.000

Missing values

2023-12-13T06:02:48.849451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:02:48.934196image/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

순번지번주소도로명주소주사육업종사육두수데이터기준일자
01강원도 평창군 평창읍 종부리 617-3강원도 평창군 평창읍 종부로 143-20한우282022-09-19
12강원도 평창군 평창읍 종부리 613-3<NA>한우402022-09-19
23강원도 평창군 미탄면 백운리 440번지 5호<NA>한우602022-09-19
34강원도 평창군 평창읍 약수리 78-31강원도 평창군 평창읍 약수1길 31한우502022-09-19
45강원도 평창군 진부면 송정리 2214-5강원도 평창군 진부면 윗쌀면길 37한우702022-09-19
56강원도 평창군 평창읍 종부리 707번지 2호<NA>한우1002022-09-19
67강원도 평창군 평창읍 종부리 353-1강원도 평창군 평창읍 종부로 225한우102022-09-19
78강원도 평창군 평창읍 종부리 762-3<NA>한우222022-09-19
89강원도 평창군 평창읍 다수리 216<NA>한우432022-09-19
910강원도 평창군 미탄면 창리 산 42-1<NA>한우1292022-09-19
순번지번주소도로명주소주사육업종사육두수데이터기준일자
327328강원도 평창군 평창읍 지동리 389강원도 평창군 평창읍 고길천로 703한우02022-09-19
328329강원도 평창군 미탄면 백운리 575번지<NA>한우02022-09-19
329330강원도 평창군 진부면 송정리 2220번지 2호<NA>한우02022-09-19
330331강원도 평창군 평창읍 종부리 70번지<NA>한우02022-09-19
331332강원도 평창군 대관령면 횡계리 81-1번지<NA>한우02022-09-19
332333강원도 평창군 미탄면 회동리 319-1강원도 평창군 미탄면 옥수암길 225-4한우02022-09-19
333334강원도 평창군 대화면 상안미리 86번지 67호<NA>한우02022-09-19
334335강원도 평창군 미탄면 백운리 568번지 3호<NA>한우192022-09-19
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