Overview

Dataset statistics

Number of variables5
Number of observations258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory42.5 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description전북특별자치도 군산시에 소재한 축산현황 및 가금류농가현황(농장명, 축종, 사육수, 소재지, 대표자)을 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15034186/fileData.do

Alerts

등록축종 is highly imbalanced (59.6%)Imbalance
번호 has unique valuesUnique
사육두수 has 39 (15.1%) zerosZeros

Reproduction

Analysis started2024-03-14 19:22:36.360047
Analysis finished2024-03-14 19:22:38.445036
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-15T04:22:38.580678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.85
Q165.25
median129.5
Q3193.75
95-th percentile245.15
Maximum258
Range257
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation74.622383
Coefficient of variation (CV)0.57623462
Kurtosis-1.2
Mean129.5
Median Absolute Deviation (MAD)64.5
Skewness0
Sum33411
Variance5568.5
MonotonicityStrictly increasing
2024-03-15T04:22:38.840343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
195 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%

사업장명칭
Text

Distinct196
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T04:22:39.849828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.6627907
Min length3

Characters and Unicode

Total characters1203
Distinct characters164
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)65.1%

Sample

1st row서호목장
2nd row한미농장
3rd row태인영농한우조합법인
4th row대일목장
5th row제이콥스팜
ValueCountFrequency (%)
김ㅇㅇ농장 13
 
4.7%
농장 9
 
3.2%
이ㅇㅇ농장 7
 
2.5%
조ㅇㅇ농장 4
 
1.4%
채ㅇㅇ농장 4
 
1.4%
유ㅇㅇ농장 4
 
1.4%
황ㅇㅇ농장 4
 
1.4%
최ㅇㅇ농장 4
 
1.4%
정ㅇㅇ농장 4
 
1.4%
이ㅇㅇ 4
 
1.4%
Other values (192) 221
79.5%
2024-03-15T04:22:41.451281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 224
18.6%
ㅇ 217
18.0%
농 214
17.8%
한 23
 
1.9%
20
 
1.7%
이 18
 
1.5%
김 16
 
1.3%
우 16
 
1.3%
목 14
 
1.2%
산 12
 
1.0%
Other values (154) 429
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1161
96.5%
Space Separator 20
 
1.7%
Decimal Number 17
 
1.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 224
19.3%
ㅇ 217
18.7%
농 214
18.4%
한 23
 
2.0%
이 18
 
1.6%
김 16
 
1.4%
우 16
 
1.4%
목 14
 
1.2%
산 12
 
1.0%
성 11
 
0.9%
Other values (147) 396
34.1%
Decimal Number
ValueCountFrequency (%)
2 11
64.7%
1 4
 
23.5%
3 2
 
11.8%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1161
96.5%
Common 42
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 224
19.3%
ㅇ 217
18.7%
농 214
18.4%
한 23
 
2.0%
이 18
 
1.6%
김 16
 
1.4%
우 16
 
1.4%
목 14
 
1.2%
산 12
 
1.0%
성 11
 
0.9%
Other values (147) 396
34.1%
Common
ValueCountFrequency (%)
20
47.6%
2 11
26.2%
1 4
 
9.5%
3 2
 
4.8%
) 2
 
4.8%
( 2
 
4.8%
- 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
78.5%
Compat Jamo 217
 
18.0%
ASCII 42
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 224
23.7%
농 214
22.7%
한 23
 
2.4%
이 18
 
1.9%
김 16
 
1.7%
우 16
 
1.7%
목 14
 
1.5%
산 12
 
1.3%
성 11
 
1.2%
리 10
 
1.1%
Other values (146) 386
40.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 217
100.0%
ASCII
ValueCountFrequency (%)
20
47.6%
2 11
26.2%
1 4
 
9.5%
3 2
 
4.8%
) 2
 
4.8%
( 2
 
4.8%
- 1
 
2.4%

등록축종
Categorical

IMBALANCE 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
한우
197 
돼지
20 
젖소
 
12
종계/산란계
 
8
육계
 
8
Other values (7)
 
13

Length

Max length10
Median length2
Mean length2.2015504
Min length2

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row한우, 젖소
2nd row돼지
3rd row한우
4th row한우
5th row한우

Common Values

ValueCountFrequency (%)
한우 197
76.4%
돼지 20
 
7.8%
젖소 12
 
4.7%
종계/산란계 8
 
3.1%
육계 8
 
3.1%
육우 4
 
1.6%
한우, 육우 2
 
0.8%
산양 2
 
0.8%
염소 2
 
0.8%
한우, 젖소 1
 
0.4%
Other values (2) 2
 
0.8%

Length

2024-03-15T04:22:41.741500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 201
76.4%
돼지 20
 
7.6%
젖소 14
 
5.3%
종계/산란계 8
 
3.0%
육계 8
 
3.0%
육우 7
 
2.7%
산양 2
 
0.8%
염소 2
 
0.8%
사슴 1
 
0.4%

사육두수
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1510.1357
Minimum0
Maximum70000
Zeros39
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-15T04:22:42.159731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median28.5
Q375.75
95-th percentile2115
Maximum70000
Range70000
Interquartile range (IQR)67.75

Descriptive statistics

Standard deviation7521.4271
Coefficient of variation (CV)4.9806301
Kurtosis42.007993
Mean1510.1357
Median Absolute Deviation (MAD)24.5
Skewness6.2109324
Sum389615
Variance56571866
MonotonicityNot monotonic
2024-03-15T04:22:42.621358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
15.1%
50 11
 
4.3%
100 9
 
3.5%
30 9
 
3.5%
8 7
 
2.7%
4 7
 
2.7%
20 7
 
2.7%
3 6
 
2.3%
12 6
 
2.3%
10 6
 
2.3%
Other values (87) 151
58.5%
ValueCountFrequency (%)
0 39
15.1%
2 1
 
0.4%
3 6
 
2.3%
4 7
 
2.7%
5 5
 
1.9%
6 2
 
0.8%
7 3
 
1.2%
8 7
 
2.7%
9 3
 
1.2%
10 6
 
2.3%
ValueCountFrequency (%)
70000 1
0.4%
50000 1
0.4%
47000 1
0.4%
37000 1
0.4%
32000 1
0.4%
30000 2
0.8%
25000 2
0.8%
4200 1
0.4%
2500 2
0.8%
2200 1
0.4%

사업장소재지(도로명)
Text

Distinct247
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T04:22:44.262490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length25.329457
Min length20

Characters and Unicode

Total characters6535
Distinct characters148
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)92.2%

Sample

1st row전북특별자치도 군산시 서수면 서라로 263-46
2nd row전북특별자치도 군산시 서수면 청룡로 6-51
3rd row전북특별자치도 군산시 대야면 만경로 1825
4th row전북특별자치도 군산시 서수면 원관원길 44-90
5th row전북특별자치도 군산시 성산면 산남길 72
ValueCountFrequency (%)
전북특별자치도 258
19.8%
군산시 258
19.8%
서수면 70
 
5.4%
대야면 47
 
3.6%
개정면 34
 
2.6%
임피면 31
 
2.4%
나포면 28
 
2.2%
성산면 17
 
1.3%
탑천로 17
 
1.3%
회현면 14
 
1.1%
Other values (362) 527
40.5%
2024-03-15T04:22:46.214674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1055
 
16.1%
산 321
 
4.9%
군 275
 
4.2%
자 267
 
4.1%
도 261
 
4.0%
전 260
 
4.0%
북 260
 
4.0%
시 259
 
4.0%
치 258
 
3.9%
별 258
 
3.9%
Other values (138) 3061
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4257
65.1%
Space Separator 1055
 
16.1%
Decimal Number 1041
 
15.9%
Dash Punctuation 165
 
2.5%
Other Punctuation 12
 
0.2%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 321
 
7.5%
군 275
 
6.5%
자 267
 
6.3%
도 261
 
6.1%
전 260
 
6.1%
북 260
 
6.1%
시 259
 
6.1%
치 258
 
6.1%
별 258
 
6.1%
특 258
 
6.1%
Other values (122) 1580
37.1%
Decimal Number
ValueCountFrequency (%)
1 222
21.3%
2 138
13.3%
4 129
12.4%
6 108
10.4%
7 90
8.6%
3 84
 
8.1%
5 81
 
7.8%
8 72
 
6.9%
0 61
 
5.9%
9 56
 
5.4%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4258
65.2%
Common 2277
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 321
 
7.5%
군 275
 
6.5%
자 267
 
6.3%
도 261
 
6.1%
전 260
 
6.1%
북 260
 
6.1%
시 259
 
6.1%
치 258
 
6.1%
별 258
 
6.1%
특 258
 
6.1%
Other values (123) 1581
37.1%
Common
ValueCountFrequency (%)
1055
46.3%
1 222
 
9.7%
- 165
 
7.2%
2 138
 
6.1%
4 129
 
5.7%
6 108
 
4.7%
7 90
 
4.0%
3 84
 
3.7%
5 81
 
3.6%
8 72
 
3.2%
Other values (5) 133
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4257
65.1%
ASCII 2277
34.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1055
46.3%
1 222
 
9.7%
- 165
 
7.2%
2 138
 
6.1%
4 129
 
5.7%
6 108
 
4.7%
7 90
 
4.0%
3 84
 
3.7%
5 81
 
3.6%
8 72
 
3.2%
Other values (5) 133
 
5.8%
Hangul
ValueCountFrequency (%)
산 321
 
7.5%
군 275
 
6.5%
자 267
 
6.3%
도 261
 
6.1%
전 260
 
6.1%
북 260
 
6.1%
시 259
 
6.1%
치 258
 
6.1%
별 258
 
6.1%
특 258
 
6.1%
Other values (122) 1580
37.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Interactions

2024-03-15T04:22:37.213588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:36.684163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:37.693146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:36.948451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:22:46.370698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록축종사육두수
번호1.0000.3210.212
등록축종0.3211.0000.601
사육두수0.2120.6011.000
2024-03-15T04:22:46.521841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육두수등록축종
번호1.000-0.4140.139
사육두수-0.4141.0000.342
등록축종0.1390.3421.000

Missing values

2024-03-15T04:22:38.050662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:22:38.368849image/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

번호사업장명칭등록축종사육두수사업장소재지(도로명)
01서호목장한우, 젖소68전북특별자치도 군산시 서수면 서라로 263-46
12한미농장돼지1300전북특별자치도 군산시 서수면 청룡로 6-51
23태인영농한우조합법인한우182전북특별자치도 군산시 대야면 만경로 1825
34대일목장한우100전북특별자치도 군산시 서수면 원관원길 44-90
45제이콥스팜한우110전북특별자치도 군산시 성산면 산남길 72
56승희목장한우100전북특별자치도 군산시 대야면 수림로 255
67도란에그팜종계/산란계0전북특별자치도 군산시 서수면 동군산로 1178
78신영섭농장한우33전북특별자치도 군산시 대야면 분토길 39
89왕산목장한우0전북특별자치도 군산시 임피면 왕산1길 96-50
910종ㅇ농장한우17전북특별자치도 군산시 성산면 만동2길 73-1
번호사업장명칭등록축종사육두수사업장소재지(도로명)
248249다람원3한우99전북특별자치도 군산시 임피면 농막길 98-20
249250금당농원한우0전북특별자치도 군산시 회현면 금광리 1274-1, 1274-2
250251유ㅇㅇ농장한우8전북특별자치도 군산시 개정면 발산리 457-9
251252신ㅇㅇ농장한우0전북특별자치도 군산시 대야면 광교리 1114-1
252253정ㅇㅇ농장한우41전북특별자치도 군산시 서수면 서수리 1828
253254김ㅇㅇ농장한우3전북특별자치도 군산시 나포면 원부곡길 42-6
254255서원목장2염소76전북특별자치도 군산시 임피면 서원2길 12-5
255256역전농장한우0전북특별자치도 군산시 나포면 군둔길 163-31
256257민용농장2한우0전북특별자치도 군산시 개정면 옥석신기길 136-21
257258영ㅇ농장한우0전북특별자치도 군산시 나포면 서포리 176-1, 176-2