Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory932.0 B
Average record size in memory37.3 B

Variable types

Text3
Categorical1

Dataset

Description강원도 홍천군 관내의 가축사육업 등록 및 허가되어있는 돼지 사육농가의 현황에 대한 정보로, 각 축사의 위치와 좌표 정보를 제공합니다.
Author강원도 홍천군
URLhttps://www.data.go.kr/data/15080701/fileData.do

Alerts

주사육업종 has constant value ""Constant
사업장소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:23:05.422454
Analysis finished2023-12-12 13:23:05.715331
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:23:05.838806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length5.04
Min length4

Characters and Unicode

Total characters126
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row홍0000000
2nd row내0000
3rd row희000
4th row동000
5th row낙000
ValueCountFrequency (%)
선000 2
 
7.4%
동000 2
 
7.4%
홍0000000 2
 
7.4%
충000 2
 
7.4%
재000 1
 
3.7%
000 1
 
3.7%
낭000 1
 
3.7%
송000 1
 
3.7%
도0000 1
 
3.7%
농00000 1
 
3.7%
Other values (13) 13
48.1%
2023-12-12T22:23:06.208858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 98
77.8%
홍 3
 
2.4%
선 2
 
1.6%
충 2
 
1.6%
동 2
 
1.6%
2
 
1.6%
산 2
 
1.6%
재 1
 
0.8%
송 1
 
0.8%
도 1
 
0.8%
Other values (12) 12
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
77.8%
Other Letter 26
 
20.6%
Space Separator 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 3
 
11.5%
선 2
 
7.7%
충 2
 
7.7%
동 2
 
7.7%
산 2
 
7.7%
재 1
 
3.8%
송 1
 
3.8%
도 1
 
3.8%
농 1
 
3.8%
덕 1
 
3.8%
Other values (10) 10
38.5%
Decimal Number
ValueCountFrequency (%)
0 98
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100
79.4%
Hangul 26
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 3
 
11.5%
선 2
 
7.7%
충 2
 
7.7%
동 2
 
7.7%
산 2
 
7.7%
재 1
 
3.8%
송 1
 
3.8%
도 1
 
3.8%
농 1
 
3.8%
덕 1
 
3.8%
Other values (10) 10
38.5%
Common
ValueCountFrequency (%)
0 98
98.0%
2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100
79.4%
Hangul 26
 
20.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 98
98.0%
2
 
2.0%
Hangul
ValueCountFrequency (%)
홍 3
 
11.5%
선 2
 
7.7%
충 2
 
7.7%
동 2
 
7.7%
산 2
 
7.7%
재 1
 
3.8%
송 1
 
3.8%
도 1
 
3.8%
농 1
 
3.8%
덕 1
 
3.8%
Other values (10) 10
38.5%

주사육업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
돼지
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
돼지 25
100.0%

Length

2023-12-12T22:23:06.369938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:23:06.480162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돼지 25
100.0%

사업장소재지(지번)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:23:06.725432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length27.64
Min length22

Characters and Unicode

Total characters691
Distinct characters63
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

Unique25 ?
Unique (%)100.0%

Sample

1st row강원도 홍천군 홍천읍 결운리 304-1, 311-2
2nd row강원도 홍천군 화촌면 외삼포리 산 17번지 13호
3rd row강원도 홍천군 화촌면 성산리 287-1 외
4th row강원도 홍천군 동면 속초리 9번지 10호
5th row강원도 홍천군 내촌면 물걸리 114번지 8호
ValueCountFrequency (%)
강원도 25
 
16.2%
홍천군 25
 
16.2%
화촌면 8
 
5.2%
남면 6
 
3.9%
외 4
 
2.6%
동면 4
 
2.6%
3호 3
 
1.9%
유치리 3
 
1.9%
1호 3
 
1.9%
내촌면 3
 
1.9%
Other values (61) 70
45.5%
2023-12-12T22:23:07.173779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
24.5%
1 32
 
4.6%
지 27
 
3.9%
천 27
 
3.9%
홍 26
 
3.8%
2 26
 
3.8%
강 25
 
3.6%
도 25
 
3.6%
군 25
 
3.6%
원 25
 
3.6%
Other values (53) 284
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
52.8%
Space Separator 169
24.5%
Decimal Number 141
 
20.4%
Dash Punctuation 8
 
1.2%
Other Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 27
 
7.4%
천 27
 
7.4%
홍 26
 
7.1%
강 25
 
6.8%
도 25
 
6.8%
군 25
 
6.8%
원 25
 
6.8%
리 25
 
6.8%
면 24
 
6.6%
번 23
 
6.3%
Other values (40) 113
31.0%
Decimal Number
ValueCountFrequency (%)
1 32
22.7%
2 26
18.4%
7 16
11.3%
0 15
10.6%
8 13
9.2%
3 11
 
7.8%
4 11
 
7.8%
9 7
 
5.0%
5 7
 
5.0%
6 3
 
2.1%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
52.8%
Common 326
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 27
 
7.4%
천 27
 
7.4%
홍 26
 
7.1%
강 25
 
6.8%
도 25
 
6.8%
군 25
 
6.8%
원 25
 
6.8%
리 25
 
6.8%
면 24
 
6.6%
번 23
 
6.3%
Other values (40) 113
31.0%
Common
ValueCountFrequency (%)
169
51.8%
1 32
 
9.8%
2 26
 
8.0%
7 16
 
4.9%
0 15
 
4.6%
8 13
 
4.0%
3 11
 
3.4%
4 11
 
3.4%
- 8
 
2.5%
, 8
 
2.5%
Other values (3) 17
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
52.8%
ASCII 326
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
51.8%
1 32
 
9.8%
2 26
 
8.0%
7 16
 
4.9%
0 15
 
4.6%
8 13
 
4.0%
3 11
 
3.4%
4 11
 
3.4%
- 8
 
2.5%
, 8
 
2.5%
Other values (3) 17
 
5.2%
Hangul
ValueCountFrequency (%)
지 27
 
7.4%
천 27
 
7.4%
홍 26
 
7.1%
강 25
 
6.8%
도 25
 
6.8%
군 25
 
6.8%
원 25
 
6.8%
리 25
 
6.8%
면 24
 
6.6%
번 23
 
6.3%
Other values (40) 113
31.0%

주소 좌표변환
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:23:07.463860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length48
Mean length44.52
Min length42

Characters and Unicode

Total characters1113
Distinct characters23
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

Unique23 ?
Unique (%)92.0%

Sample

1st row경도:127.9120786644284, 위도:37.70541522026093
2nd row경도:127.98195980484549, 위도:37.7693394632204(인근좌표)
3rd row경도:127.97055883301625, 위도:37.78168164081519
4th row경도:127.9941793212442, 위도:37.67015236685986
5th row경도:128.17024516088912, 위도:37.78263227752708
ValueCountFrequency (%)
경도:127.88085100659262 2
 
4.0%
위도:37.80195366896002 2
 
4.0%
경도:127.86926800686815 1
 
2.0%
위도:37.78241590127766(인근좌표 1
 
2.0%
경도:127.8521025582076 1
 
2.0%
위도:37.56905147094188 1
 
2.0%
경도:127.82011377660723 1
 
2.0%
위도:37.57738745176672 1
 
2.0%
경도:127.93114443519066 1
 
2.0%
위도:37.691461265195144 1
 
2.0%
Other values (38) 38
76.0%
2023-12-12T22:23:07.931821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 111
 
10.0%
1 93
 
8.4%
2 86
 
7.7%
3 86
 
7.7%
6 85
 
7.6%
8 83
 
7.5%
9 71
 
6.4%
5 70
 
6.3%
0 69
 
6.2%
4 67
 
6.0%
Other values (13) 292
26.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 821
73.8%
Other Letter 128
 
11.5%
Other Punctuation 125
 
11.2%
Space Separator 25
 
2.2%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 111
13.5%
1 93
11.3%
2 86
10.5%
3 86
10.5%
6 85
10.4%
8 83
10.1%
9 71
8.6%
5 70
8.5%
0 69
8.4%
4 67
8.2%
Other Letter
ValueCountFrequency (%)
도 50
39.1%
위 25
19.5%
경 25
19.5%
인 7
 
5.5%
근 7
 
5.5%
좌 7
 
5.5%
표 7
 
5.5%
Other Punctuation
ValueCountFrequency (%)
: 50
40.0%
. 50
40.0%
, 25
20.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 985
88.5%
Hangul 128
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
7 111
11.3%
1 93
9.4%
2 86
8.7%
3 86
8.7%
6 85
8.6%
8 83
8.4%
9 71
7.2%
5 70
7.1%
0 69
7.0%
4 67
6.8%
Other values (6) 164
16.6%
Hangul
ValueCountFrequency (%)
도 50
39.1%
위 25
19.5%
경 25
19.5%
인 7
 
5.5%
근 7
 
5.5%
좌 7
 
5.5%
표 7
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 985
88.5%
Hangul 128
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 111
11.3%
1 93
9.4%
2 86
8.7%
3 86
8.7%
6 85
8.6%
8 83
8.4%
9 71
7.2%
5 70
7.1%
0 69
7.0%
4 67
6.8%
Other values (6) 164
16.6%
Hangul
ValueCountFrequency (%)
도 50
39.1%
위 25
19.5%
경 25
19.5%
인 7
 
5.5%
근 7
 
5.5%
좌 7
 
5.5%
표 7
 
5.5%

Correlations

2023-12-12T22:23:08.044599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭사업장소재지(지번)주소 좌표변환
사업장명칭1.0001.0000.952
사업장소재지(지번)1.0001.0001.000
주소 좌표변환0.9521.0001.000

Missing values

2023-12-12T22:23:05.600216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:23:05.683473image/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

사업장명칭주사육업종사업장소재지(지번)주소 좌표변환
0홍0000000돼지강원도 홍천군 홍천읍 결운리 304-1, 311-2경도:127.9120786644284, 위도:37.70541522026093
1내0000돼지강원도 홍천군 화촌면 외삼포리 산 17번지 13호경도:127.98195980484549, 위도:37.7693394632204(인근좌표)
2희000돼지강원도 홍천군 화촌면 성산리 287-1 외경도:127.97055883301625, 위도:37.78168164081519
3동000돼지강원도 홍천군 동면 속초리 9번지 10호경도:127.9941793212442, 위도:37.67015236685986
4낙000돼지강원도 홍천군 내촌면 물걸리 114번지 8호경도:128.17024516088912, 위도:37.78263227752708
5충000돼지강원도 홍천군 화촌면 굴운리 288번지 17호 ,288-21경도:127.95927481661539, 위도:37.73760808954302
6산0000돼지강원도 홍천군 화촌면 구성포리 1707번지 1709, 1710, 1710-2, 1710-4경도:127.88085100659262, 위도:37.80195366896002
7유000돼지강원도 홍천군 서면 개야리 269번지 2호경도:127.63446394066109, 위도:37.68593547083722(인근좌표)
8홍000돼지강원도 홍천군 남면 용수리 298번지 1호경도:127.74645861339806, 위도:37.656799471447336
9남00000돼지강원도 홍천군 남면 시동리 865번지 1호경도:127.82975176921668, 위도:37.585979873302(인근좌표)
사업장명칭주사육업종사업장소재지(지번)주소 좌표변환
15재000돼지강원도 홍천군 남면 유치리 1025번지 3호경도:127.8521025582076, 위도:37.56905147094188
16솔000돼지강원도 홍천군 남면 신대리 257번지 외2필지경도:127.82011377660723, 위도:37.57738745176672
17덕000돼지강원도 홍천군 동면 덕치리 479번지 3호경도:127.93114443519066, 위도:37.691461265195144
18농00000 홍0000000돼지강원도 홍천군 남면 유치리 483번지경도:127.87470541468386, 위도:37.571492248388715
19충000돼지강원도 홍천군 화촌면 굴운리 288-21경도:127.95971740698553, 위도:37.7374280259503
20동000돼지강원도 홍천군 내촌면 물걸리 442번지 1호경도:128.14991347003743, 위도:37.78888635044853(인근좌표)
21도0000돼지강원도 홍천군 북방면 능평리 198번지 3호경도:127.83939168469233, 위도:37.71677386239153(인근좌표)
22송000돼지강원도 홍천군 화촌면 송정리 373번지경도:127.92407431569886, 위도:37.74263697267149
23낭000 000돼지강원도 홍천군 내촌면 와야리 247번지 248,249,250,250-1번지경도:128.15155056148362, 위도:37.80094019505907
24산00000돼지강원도 홍천군 화촌면 구성포리 1707번지경도:127.88085100659262, 위도:37.80195366896002