Overview

Dataset statistics

Number of variables6
Number of observations133
Missing cells0
Missing cells (%)0.0%
Duplicate rows7
Duplicate rows (%)5.3%
Total size in memory6.5 KiB
Average record size in memory50.0 B

Variable types

Text3
Categorical1
Numeric1
DateTime1

Dataset

Description충청북도 단양군 관내 한우 사육 농가 정보로 사업장명칭, 등록축종, 사업장소재지, 사업장전화번호, 사육두수, 데이터기준일 등 항목을 포함하고 있음.
URLhttps://www.data.go.kr/data/15042733/fileData.do

Alerts

등록축종 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 7 (5.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 06:39:11.840124
Analysis finished2023-12-12 06:39:12.483956
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct125
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:39:12.789052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length4.9849624
Min length4

Characters and Unicode

Total characters663
Distinct characters149
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)88.0%

Sample

1st row맹도재농장
2nd row푸른목장
3rd row우리골 농장
4th row용우농장
5th row보람농장
ValueCountFrequency (%)
농장 63
31.0%
해원축산 2
 
1.0%
목장 2
 
1.0%
서장하 2
 
1.0%
하리 2
 
1.0%
파랑길 2
 
1.0%
협업농장 2
 
1.0%
영광농장 2
 
1.0%
영덕농장 2
 
1.0%
용소 2
 
1.0%
Other values (121) 122
60.1%
2023-12-12T15:39:13.309426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 129
19.5%
농 121
18.3%
70
 
10.6%
산 13
 
2.0%
영 12
 
1.8%
한 9
 
1.4%
수 9
 
1.4%
우 9
 
1.4%
대 7
 
1.1%
경 7
 
1.1%
Other values (139) 277
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
89.0%
Space Separator 70
 
10.6%
Uppercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 129
21.9%
농 121
20.5%
산 13
 
2.2%
영 12
 
2.0%
한 9
 
1.5%
수 9
 
1.5%
우 9
 
1.5%
대 7
 
1.2%
경 7
 
1.2%
김 7
 
1.2%
Other values (135) 267
45.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
89.0%
Common 71
 
10.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 129
21.9%
농 121
20.5%
산 13
 
2.2%
영 12
 
2.0%
한 9
 
1.5%
수 9
 
1.5%
우 9
 
1.5%
대 7
 
1.2%
경 7
 
1.2%
김 7
 
1.2%
Other values (135) 267
45.3%
Common
ValueCountFrequency (%)
70
98.6%
1 1
 
1.4%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
89.0%
ASCII 73
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 129
21.9%
농 121
20.5%
산 13
 
2.2%
영 12
 
2.0%
한 9
 
1.5%
수 9
 
1.5%
우 9
 
1.5%
대 7
 
1.2%
경 7
 
1.2%
김 7
 
1.2%
Other values (135) 267
45.3%
ASCII
ValueCountFrequency (%)
70
95.9%
1 1
 
1.4%
K 1
 
1.4%
O 1
 
1.4%

등록축종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
한우
133 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한우 133
100.0%

Length

2023-12-12T15:39:13.481065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:13.572912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 133
100.0%

권리주체명
Text

Distinct124
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:39:13.900970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters399
Distinct characters116
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)88.0%

Sample

1st row맹도재
2nd row공가빈
3rd row장규상
4th row신범완
5th row김영수
ValueCountFrequency (%)
박영규 4
 
3.0%
임회경 2
 
1.5%
팽석동 2
 
1.5%
최종욱 2
 
1.5%
서장하 2
 
1.5%
윤철용 2
 
1.5%
조성모 2
 
1.5%
유석종 1
 
0.8%
박관호 1
 
0.8%
서재원 1
 
0.8%
Other values (114) 114
85.7%
2023-12-12T15:39:14.341596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 22
 
5.5%
이 17
 
4.3%
박 13
 
3.3%
규 12
 
3.0%
영 11
 
2.8%
수 11
 
2.8%
재 11
 
2.8%
조 10
 
2.5%
성 9
 
2.3%
호 9
 
2.3%
Other values (106) 274
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
5.5%
이 17
 
4.3%
박 13
 
3.3%
규 12
 
3.0%
영 11
 
2.8%
수 11
 
2.8%
재 11
 
2.8%
조 10
 
2.5%
성 9
 
2.3%
호 9
 
2.3%
Other values (106) 274
68.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
5.5%
이 17
 
4.3%
박 13
 
3.3%
규 12
 
3.0%
영 11
 
2.8%
수 11
 
2.8%
재 11
 
2.8%
조 10
 
2.5%
성 9
 
2.3%
호 9
 
2.3%
Other values (106) 274
68.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 22
 
5.5%
이 17
 
4.3%
박 13
 
3.3%
규 12
 
3.0%
영 11
 
2.8%
수 11
 
2.8%
재 11
 
2.8%
조 10
 
2.5%
성 9
 
2.3%
호 9
 
2.3%
Other values (106) 274
68.7%

사업장소재지(도로명)
Text

Distinct124
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:39:14.696047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length22.413534
Min length19

Characters and Unicode

Total characters2981
Distinct characters115
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

Unique115 ?
Unique (%)86.5%

Sample

1st row충청북도 단양군 가곡면 보발곰절길 94-4
2nd row충청북도 단양군 대강면 직티3길 26
3rd row충청북도 단양군 대강면 신구무수천길 150
4th row충청북도 단양군 대강면 신구무수천길 121-3, 용우농장
5th row충청북도 단양군 대강면 당동1길 43-12
ValueCountFrequency (%)
충청북도 133
19.9%
단양군 133
19.9%
영춘면 48
 
7.2%
가곡면 30
 
4.5%
적성면 17
 
2.5%
대강면 14
 
2.1%
어상천면 14
 
2.1%
대가2길 9
 
1.3%
매포읍 7
 
1.0%
보발본동1길 6
 
0.9%
Other values (199) 258
38.6%
2023-12-12T15:39:15.280315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
18.5%
양 140
 
4.7%
단 139
 
4.7%
북 137
 
4.6%
도 137
 
4.6%
충 133
 
4.5%
군 133
 
4.5%
청 133
 
4.5%
면 124
 
4.2%
1 113
 
3.8%
Other values (105) 1242
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1850
62.1%
Space Separator 550
 
18.5%
Decimal Number 505
 
16.9%
Dash Punctuation 74
 
2.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 140
 
7.6%
단 139
 
7.5%
북 137
 
7.4%
도 137
 
7.4%
충 133
 
7.2%
군 133
 
7.2%
청 133
 
7.2%
면 124
 
6.7%
길 95
 
5.1%
영 58
 
3.1%
Other values (92) 621
33.6%
Decimal Number
ValueCountFrequency (%)
1 113
22.4%
2 82
16.2%
4 54
10.7%
3 45
 
8.9%
9 42
 
8.3%
5 39
 
7.7%
8 38
 
7.5%
6 34
 
6.7%
7 32
 
6.3%
0 26
 
5.1%
Space Separator
ValueCountFrequency (%)
550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1850
62.1%
Common 1131
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 140
 
7.6%
단 139
 
7.5%
북 137
 
7.4%
도 137
 
7.4%
충 133
 
7.2%
군 133
 
7.2%
청 133
 
7.2%
면 124
 
6.7%
길 95
 
5.1%
영 58
 
3.1%
Other values (92) 621
33.6%
Common
ValueCountFrequency (%)
550
48.6%
1 113
 
10.0%
2 82
 
7.3%
- 74
 
6.5%
4 54
 
4.8%
3 45
 
4.0%
9 42
 
3.7%
5 39
 
3.4%
8 38
 
3.4%
6 34
 
3.0%
Other values (3) 60
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1850
62.1%
ASCII 1131
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
48.6%
1 113
 
10.0%
2 82
 
7.3%
- 74
 
6.5%
4 54
 
4.8%
3 45
 
4.0%
9 42
 
3.7%
5 39
 
3.4%
8 38
 
3.4%
6 34
 
3.0%
Other values (3) 60
 
5.3%
Hangul
ValueCountFrequency (%)
양 140
 
7.6%
단 139
 
7.5%
북 137
 
7.4%
도 137
 
7.4%
충 133
 
7.2%
군 133
 
7.2%
청 133
 
7.2%
면 124
 
6.7%
길 95
 
5.1%
영 58
 
3.1%
Other values (92) 621
33.6%

사육두수
Real number (ℝ)

Distinct45
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.736842
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T15:39:15.423395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median12
Q324
95-th percentile74
Maximum121
Range120
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22.734933
Coefficient of variation (CV)1.1519033
Kurtosis3.9097603
Mean19.736842
Median Absolute Deviation (MAD)9
Skewness1.9592155
Sum2625
Variance516.87719
MonotonicityNot monotonic
2023-12-12T15:39:15.570607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 11
 
8.3%
2 9
 
6.8%
8 8
 
6.0%
3 8
 
6.0%
4 7
 
5.3%
5 6
 
4.5%
13 6
 
4.5%
20 5
 
3.8%
11 5
 
3.8%
10 5
 
3.8%
Other values (35) 63
47.4%
ValueCountFrequency (%)
1 11
8.3%
2 9
6.8%
3 8
6.0%
4 7
5.3%
5 6
4.5%
6 3
 
2.3%
7 3
 
2.3%
8 8
6.0%
9 1
 
0.8%
10 5
3.8%
ValueCountFrequency (%)
121 1
 
0.8%
90 1
 
0.8%
87 1
 
0.8%
83 1
 
0.8%
80 3
2.3%
70 2
1.5%
60 2
1.5%
59 1
 
0.8%
54 1
 
0.8%
50 2
1.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-04-19 00:00:00
Maximum2023-04-19 00:00:00
2023-12-12T15:39:15.670865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:15.757164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:39:12.126560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T15:39:12.279584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:39:12.424862image/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

사업장명칭등록축종권리주체명사업장소재지(도로명)사육두수데이터기준일
0맹도재농장한우맹도재충청북도 단양군 가곡면 보발곰절길 94-482023-04-19
1푸른목장한우공가빈충청북도 단양군 대강면 직티3길 2652023-04-19
2우리골 농장한우장규상충청북도 단양군 대강면 신구무수천길 150122023-04-19
3용우농장한우신범완충청북도 단양군 대강면 신구무수천길 121-3, 용우농장422023-04-19
4보람농장한우김영수충청북도 단양군 대강면 당동1길 43-12602023-04-19
5유성농장한우김현유충청북도 단양군 대강면 올산1길 45602023-04-19
6대중한우 농장한우이기홍충청북도 단양군 대강면 온천로 225-17202023-04-19
7개미 농장한우유제홍충청북도 단양군 대강면 도효자로 2736-12872023-04-19
8황금 농장한우허성근충청북도 단양군 영춘면 별방만종로 350-29172023-04-19
9삼봉 농장한우조태행충청북도 단양군 영춘면 만종1길 234542023-04-19
사업장명칭등록축종권리주체명사업장소재지(도로명)사육두수데이터기준일
123너들목농장한우최순남충청북도 단양군 가곡면 보발본동1길 62-1, 1동 1층72023-04-19
124밤실농장한우김태준충청북도 단양군 어상천면 율곡1길 9-11152023-04-19
125완구 농장한우김완구충청북도 단양군 영춘면 장발도방동길 132-742023-04-19
126영덕농장한우박영규충청북도 단양군 적성면 대가2길 69-10702023-04-19
127해원축산한우윤철용충청북도 단양군 적성면 대가2길 69-19502023-04-19
128영광농장한우박영규충청북도 단양군 적성면 대가2길 69-8222023-04-19
129서장하 농장한우서장하충청북도 단양군 적성면 묵석2길 20-512023-04-19
130신용농장한우팽석동충청북도 단양군 적성면 수양개유적로 29082023-04-19
131파랑길 농장한우조성모충청북도 단양군 적성면 파랑길 206132023-04-19
132하리 농장한우최종욱충청북도 단양군 적성면 하리1길 419-3112023-04-19

Duplicate rows

Most frequently occurring

사업장명칭등록축종권리주체명사업장소재지(도로명)사육두수데이터기준일# duplicates
0서장하 농장한우서장하충청북도 단양군 적성면 묵석2길 20-512023-04-192
1신용농장한우팽석동충청북도 단양군 적성면 수양개유적로 29082023-04-192
2영광농장한우박영규충청북도 단양군 적성면 대가2길 69-8222023-04-192
3영덕농장한우박영규충청북도 단양군 적성면 대가2길 69-10702023-04-192
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