Overview

Dataset statistics

Number of variables6
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)2.9%
Total size in memory3.5 KiB
Average record size in memory50.9 B

Variable types

Categorical4
Text2

Dataset

Description화성시 송산면 휴경지 현황에 대한 데이터로 해당연도, 처분대상농지의 주소(읍면, 리동, 번지), 지목, 면적, 당해연도의 현장점검요약(휴경내역)을 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15100164/fileData.do

Alerts

시기 has constant value ""Constant
당해연도 현장요약 has constant value ""Constant
Dataset has 2 (2.9%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 15:13:10.700329
Analysis finished2023-12-12 15:13:11.315372
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당년도
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2019
52 
2020
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 52
74.3%
2020 18
 
25.7%

Length

2023-12-13T00:13:11.391412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:11.523317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 52
74.3%
2020 18
 
25.7%

시기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
정기
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기 70
100.0%

Length

2023-12-13T00:13:11.655185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:11.777152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기 70
100.0%

주소
Text

Distinct64
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-13T00:13:12.036777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15.5
Mean length14.171429
Min length11

Characters and Unicode

Total characters992
Distinct characters33
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

Unique61 ?
Unique (%)87.1%

Sample

1st row송산면 용포리 113번지
2nd row송산면 용포리 113-1번지
3rd row송산면 용포리 113-2번지
4th row송산면 용포리 206-4번지
5th row송산면 용포리 145번지
ValueCountFrequency (%)
송산면 70
33.3%
독지리 19
 
9.0%
고포리 15
 
7.1%
삼존리 13
 
6.2%
고정리 8
 
3.8%
용포리 5
 
2.4%
50-3번지 5
 
2.4%
쌍정리 5
 
2.4%
397-3번지 2
 
1.0%
3번지 2
 
1.0%
Other values (64) 66
31.4%
2023-12-13T00:13:12.481959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
14.2%
지 89
 
9.0%
송 70
 
7.1%
리 70
 
7.1%
산 70
 
7.1%
번 70
 
7.1%
면 70
 
7.1%
- 49
 
4.9%
3 44
 
4.4%
2 36
 
3.6%
Other values (23) 283
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
56.5%
Decimal Number 242
24.4%
Space Separator 141
 
14.2%
Dash Punctuation 49
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 89
15.9%
송 70
12.5%
리 70
12.5%
산 70
12.5%
번 70
12.5%
면 70
12.5%
고 23
 
4.1%
포 20
 
3.6%
독 19
 
3.4%
정 13
 
2.3%
Other values (11) 46
8.2%
Decimal Number
ValueCountFrequency (%)
3 44
18.2%
2 36
14.9%
1 30
12.4%
4 27
11.2%
9 26
10.7%
5 20
8.3%
6 17
 
7.0%
8 16
 
6.6%
0 14
 
5.8%
7 12
 
5.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
56.5%
Common 432
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 89
15.9%
송 70
12.5%
리 70
12.5%
산 70
12.5%
번 70
12.5%
면 70
12.5%
고 23
 
4.1%
포 20
 
3.6%
독 19
 
3.4%
정 13
 
2.3%
Other values (11) 46
8.2%
Common
ValueCountFrequency (%)
141
32.6%
- 49
 
11.3%
3 44
 
10.2%
2 36
 
8.3%
1 30
 
6.9%
4 27
 
6.2%
9 26
 
6.0%
5 20
 
4.6%
6 17
 
3.9%
8 16
 
3.7%
Other values (2) 26
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
56.5%
ASCII 432
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
32.6%
- 49
 
11.3%
3 44
 
10.2%
2 36
 
8.3%
1 30
 
6.9%
4 27
 
6.2%
9 26
 
6.0%
5 20
 
4.6%
6 17
 
3.9%
8 16
 
3.7%
Other values (2) 26
 
6.0%
Hangul
ValueCountFrequency (%)
지 89
15.9%
송 70
12.5%
리 70
12.5%
산 70
12.5%
번 70
12.5%
면 70
12.5%
고 23
 
4.1%
포 20
 
3.6%
독 19
 
3.4%
정 13
 
2.3%
Other values (11) 46
8.2%

지목
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
답
37 
전
30 
과
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
답 37
52.9%
전 30
42.9%
과 3
 
4.3%

Length

2023-12-13T00:13:12.645642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:12.764552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 37
52.9%
전 30
42.9%
과 3
 
4.3%

면적(m2)
Text

Distinct62
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-13T00:13:12.973095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5857143
Min length2

Characters and Unicode

Total characters251
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)78.6%

Sample

1st row638
2nd row308
3rd row330
4th row521
5th row1,666
ValueCountFrequency (%)
330 3
 
4.3%
1,000 2
 
2.9%
738 2
 
2.9%
226 2
 
2.9%
1,878 2
 
2.9%
460 2
 
2.9%
780 2
 
2.9%
259 1
 
1.4%
1,275 1
 
1.4%
661 1
 
1.4%
Other values (52) 52
74.3%
2023-12-13T00:13:13.362869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 36
14.3%
0 27
10.8%
3 26
10.4%
8 26
10.4%
6 26
10.4%
, 22
8.8%
9 21
8.4%
2 19
7.6%
7 17
6.8%
4 17
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 229
91.2%
Other Punctuation 22
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 36
15.7%
0 27
11.8%
3 26
11.4%
8 26
11.4%
6 26
11.4%
9 21
9.2%
2 19
8.3%
7 17
7.4%
4 17
7.4%
5 14
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 36
14.3%
0 27
10.8%
3 26
10.4%
8 26
10.4%
6 26
10.4%
, 22
8.8%
9 21
8.4%
2 19
7.6%
7 17
6.8%
4 17
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 36
14.3%
0 27
10.8%
3 26
10.4%
8 26
10.4%
6 26
10.4%
, 22
8.8%
9 21
8.4%
2 19
7.6%
7 17
6.8%
4 17
6.8%

당해연도 현장요약
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
휴경
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴경 70
100.0%

Length

2023-12-13T00:13:13.492134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:13.584635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴경 70
100.0%

Correlations

2023-12-13T00:13:13.647610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해당년도주소지목면적(m2)
해당년도1.0001.0000.0480.907
주소1.0001.0001.0000.986
지목0.0481.0001.0000.964
면적(m2)0.9070.9860.9641.000
2023-12-13T00:13:13.748945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해당년도지목
해당년도1.0000.076
지목0.0761.000
2023-12-13T00:13:13.825457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해당년도지목
해당년도1.0000.076
지목0.0761.000

Missing values

2023-12-13T00:13:11.136310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:11.272903image/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

해당년도시기주소지목면적(m2)당해연도 현장요약
02019정기송산면 용포리 113번지전638휴경
12019정기송산면 용포리 113-1번지전308휴경
22019정기송산면 용포리 113-2번지전330휴경
32019정기송산면 용포리 206-4번지전521휴경
42019정기송산면 용포리 145번지전1,666휴경
52019정기송산면 봉가리 230번지답1,012휴경
62019정기송산면 봉가리 244-1번지답738휴경
72019정기송산면 삼존리 3번지전390휴경
82019정기송산면 삼존리 4-6번지전418휴경
92019정기송산면 삼존리 1234번지답2,988휴경
해당년도시기주소지목면적(m2)당해연도 현장요약
602020정기송산면 고정리 50-3번지전198휴경
612020정기송산면 고정리 50-3번지전990휴경
622020정기송산면 고정리 50-3번지전126휴경
632020정기송산면 고정리 50-3번지전780휴경
642020정기송산면 고정리 50-3번지전780휴경
652020정기송산면 고포리 298번지답430휴경
662020정기송산면 고포리 298-2번지답330휴경
672020정기송산면 고포리 299번지답330휴경
682020정기송산면 고포리 299-1번지답60휴경
692020정기송산면 고포리 299-1번지답238휴경

Duplicate rows

Most frequently occurring

해당년도시기주소지목면적(m2)당해연도 현장요약# duplicates
02020정기송산면 고정리 50-3번지전780휴경2
12020정기송산면 삼존리 397-3번지답226휴경2