Overview

Dataset statistics

Number of variables6
Number of observations2104
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows357
Duplicate rows (%)17.0%
Total size in memory98.8 KiB
Average record size in memory48.1 B

Variable types

Categorical2
Text4

Dataset

Description유해야생동물(멧돼지) 포획일자에 대한 데이터로 2020년부터 포획한 멧돼지의 지번주소, 위도, 경도에 대한 데이터를 제공합니다.
Author충청남도 부여군
URLhttps://www.data.go.kr/data/15108240/fileData.do

Alerts

유해야생동물 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 357 (17.0%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-13 12:08:20.340944
Analysis finished2024-04-13 12:08:21.921619
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유해야생동물
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
멧돼지
2104 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
멧돼지 2104
100.0%

Length

2024-04-13T21:08:22.034852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:08:22.212647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
멧돼지 2104
100.0%

포획일자
Text

Distinct565
Distinct (%)26.9%
Missing1
Missing (%)< 0.1%
Memory size16.6 KiB
2024-04-13T21:08:23.143286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9957204
Min length1

Characters and Unicode

Total characters21021
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

Unique194 ?
Unique (%)9.2%

Sample

1st row2020-01-02
2nd row2020-01-02
3rd row2020-01-02
4th row2020-01-02
5th row2020-01-02
ValueCountFrequency (%)
2024-02-02 35
 
1.7%
2023-12-18 23
 
1.1%
2023-02-09 22
 
1.0%
2023-01-16 20
 
1.0%
2023-02-17 20
 
1.0%
2023-01-26 19
 
0.9%
2024-01-02 18
 
0.9%
2024-01-11 17
 
0.8%
2024-02-18 17
 
0.8%
2024-01-15 17
 
0.8%
Other values (555) 1895
90.1%
2024-04-13T21:08:24.328629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6109
29.1%
0 5230
24.9%
- 4205
20.0%
1 2489
11.8%
3 763
 
3.6%
4 466
 
2.2%
7 421
 
2.0%
8 376
 
1.8%
9 359
 
1.7%
6 317
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16816
80.0%
Dash Punctuation 4205
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6109
36.3%
0 5230
31.1%
1 2489
14.8%
3 763
 
4.5%
4 466
 
2.8%
7 421
 
2.5%
8 376
 
2.2%
9 359
 
2.1%
6 317
 
1.9%
5 286
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 4205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6109
29.1%
0 5230
24.9%
- 4205
20.0%
1 2489
11.8%
3 763
 
3.6%
4 466
 
2.2%
7 421
 
2.0%
8 376
 
1.8%
9 359
 
1.7%
6 317
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6109
29.1%
0 5230
24.9%
- 4205
20.0%
1 2489
11.8%
3 763
 
3.6%
4 466
 
2.2%
7 421
 
2.0%
8 376
 
1.8%
9 359
 
1.7%
6 317
 
1.5%

지번주소
Text

Distinct1224
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-13T21:08:25.423202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.246198
Min length18

Characters and Unicode

Total characters44702
Distinct characters145
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

Unique807 ?
Unique (%)38.4%

Sample

1st row충청남도 부여군 충화면 지석리 산212
2nd row충청남도 부여군 충화면 지석리 산212
3rd row충청남도 부여군 세도면 반조원리 산50-1
4th row충청남도 부여군 세도면 반조원리 산50-1
5th row충청남도 부여군 충화면 만지리 산18
ValueCountFrequency (%)
부여군 2106
20.0%
충청남도 2104
20.0%
내산면 327
 
3.1%
외산면 287
 
2.7%
은산면 211
 
2.0%
장암면 199
 
1.9%
초촌면 159
 
1.5%
부여읍 133
 
1.3%
충화면 122
 
1.2%
세도면 106
 
1.0%
Other values (1089) 4753
45.2%
2024-04-13T21:08:27.048028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8440
18.9%
산 2403
 
5.4%
부 2240
 
5.0%
여 2239
 
5.0%
충 2228
 
5.0%
도 2211
 
4.9%
남 2132
 
4.8%
군 2121
 
4.7%
청 2119
 
4.7%
리 2103
 
4.7%
Other values (135) 16466
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28517
63.8%
Space Separator 8440
 
18.9%
Decimal Number 6439
 
14.4%
Dash Punctuation 1306
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2403
 
8.4%
부 2240
 
7.9%
여 2239
 
7.9%
충 2228
 
7.8%
도 2211
 
7.8%
남 2132
 
7.5%
군 2121
 
7.4%
청 2119
 
7.4%
리 2103
 
7.4%
면 1970
 
6.9%
Other values (123) 6751
23.7%
Decimal Number
ValueCountFrequency (%)
1 1473
22.9%
2 849
13.2%
3 787
12.2%
4 667
10.4%
5 572
 
8.9%
6 460
 
7.1%
0 415
 
6.4%
8 411
 
6.4%
9 409
 
6.4%
7 396
 
6.2%
Space Separator
ValueCountFrequency (%)
8440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28517
63.8%
Common 16185
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2403
 
8.4%
부 2240
 
7.9%
여 2239
 
7.9%
충 2228
 
7.8%
도 2211
 
7.8%
남 2132
 
7.5%
군 2121
 
7.4%
청 2119
 
7.4%
리 2103
 
7.4%
면 1970
 
6.9%
Other values (123) 6751
23.7%
Common
ValueCountFrequency (%)
8440
52.1%
1 1473
 
9.1%
- 1306
 
8.1%
2 849
 
5.2%
3 787
 
4.9%
4 667
 
4.1%
5 572
 
3.5%
6 460
 
2.8%
0 415
 
2.6%
8 411
 
2.5%
Other values (2) 805
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28517
63.8%
ASCII 16185
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8440
52.1%
1 1473
 
9.1%
- 1306
 
8.1%
2 849
 
5.2%
3 787
 
4.9%
4 667
 
4.1%
5 572
 
3.5%
6 460
 
2.8%
0 415
 
2.6%
8 411
 
2.5%
Other values (2) 805
 
5.0%
Hangul
ValueCountFrequency (%)
산 2403
 
8.4%
부 2240
 
7.9%
여 2239
 
7.9%
충 2228
 
7.8%
도 2211
 
7.8%
남 2132
 
7.5%
군 2121
 
7.4%
청 2119
 
7.4%
리 2103
 
7.4%
면 1970
 
6.9%
Other values (123) 6751
23.7%

위도
Text

Distinct1381
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-13T21:08:28.206142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.9638783
Min length5

Characters and Unicode

Total characters18860
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique945 ?
Unique (%)44.9%

Sample

1st row36.10531
2nd row36.10531
3rd row36.11062
4th row36.11062
5th row36.11504
ValueCountFrequency (%)
36˚ 551
 
17.2%
15 87
 
2.7%
17 53
 
1.7%
20 36
 
1.1%
19 35
 
1.1%
25 34
 
1.1%
16 33
 
1.0%
11 33
 
1.0%
12 27
 
0.8%
18 27
 
0.8%
Other values (1299) 2292
71.4%
2024-04-13T21:08:29.515062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2958
15.7%
6 2862
15.2%
1 2577
13.7%
. 2107
11.2%
2 1278
6.8%
1126
 
6.0%
5 1038
 
5.5%
0 934
 
5.0%
4 909
 
4.8%
7 700
 
3.7%
Other values (4) 2371
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14523
77.0%
Other Punctuation 2659
 
14.1%
Space Separator 1126
 
6.0%
Modifier Symbol 552
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2958
20.4%
6 2862
19.7%
1 2577
17.7%
2 1278
8.8%
5 1038
 
7.1%
0 934
 
6.4%
4 909
 
6.3%
7 700
 
4.8%
9 649
 
4.5%
8 618
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 2107
79.2%
' 552
 
20.8%
Space Separator
ValueCountFrequency (%)
1126
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2958
15.7%
6 2862
15.2%
1 2577
13.7%
. 2107
11.2%
2 1278
6.8%
1126
 
6.0%
5 1038
 
5.5%
0 934
 
5.0%
4 909
 
4.8%
7 700
 
3.7%
Other values (4) 2371
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18308
97.1%
Modifier Letters 552
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2958
16.2%
6 2862
15.6%
1 2577
14.1%
. 2107
11.5%
2 1278
7.0%
1126
 
6.2%
5 1038
 
5.7%
0 934
 
5.1%
4 909
 
5.0%
7 700
 
3.8%
Other values (3) 1819
9.9%
Modifier Letters
ValueCountFrequency (%)
˚ 552
100.0%

경도
Text

Distinct1420
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-13T21:08:30.524653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length10.26711
Min length3

Characters and Unicode

Total characters21602
Distinct characters15
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1007 ?
Unique (%)47.9%

Sample

1st row126.48113
2nd row126.48113
3rd row126.58269
4th row126.58269
5th row126.52468
ValueCountFrequency (%)
126˚ 481
 
15.0%
127˚ 70
 
2.2%
01 43
 
1.3%
47 41
 
1.3%
43 37
 
1.2%
44 31
 
1.0%
55 30
 
0.9%
51 29
 
0.9%
48 28
 
0.9%
59 28
 
0.9%
Other values (1354) 2390
74.5%
2024-04-13T21:08:31.783027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3019
14.0%
2 3018
14.0%
6 2564
11.9%
. 2104
9.7%
4 2018
9.3%
5 1916
8.9%
1197
 
5.5%
3 989
 
4.6%
7 929
 
4.3%
0 884
 
4.1%
Other values (5) 2964
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16645
77.1%
Other Punctuation 3208
 
14.9%
Space Separator 1197
 
5.5%
Modifier Symbol 552
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3019
18.1%
2 3018
18.1%
6 2564
15.4%
4 2018
12.1%
5 1916
11.5%
3 989
 
5.9%
7 929
 
5.6%
0 884
 
5.3%
9 668
 
4.0%
8 640
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 2104
65.6%
' 552
 
17.2%
〃 552
 
17.2%
Space Separator
ValueCountFrequency (%)
1197
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3019
14.0%
2 3018
14.0%
6 2564
11.9%
. 2104
9.7%
4 2018
9.3%
5 1916
8.9%
1197
 
5.5%
3 989
 
4.6%
7 929
 
4.3%
0 884
 
4.1%
Other values (5) 2964
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20498
94.9%
Modifier Letters 552
 
2.6%
None 552
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3019
14.7%
2 3018
14.7%
6 2564
12.5%
. 2104
10.3%
4 2018
9.8%
5 1916
9.3%
1197
 
5.8%
3 989
 
4.8%
7 929
 
4.5%
0 884
 
4.3%
Other values (3) 1860
9.1%
Modifier Letters
ValueCountFrequency (%)
˚ 552
100.0%
None
ValueCountFrequency (%)
〃 552
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-02-29
2104 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-29
2nd row2024-02-29
3rd row2024-02-29
4th row2024-02-29
5th row2024-02-29

Common Values

ValueCountFrequency (%)
2024-02-29 2104
100.0%

Length

2024-04-13T21:08:32.009593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:08:32.179463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-29 2104
100.0%

Missing values

2024-04-13T21:08:21.640666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:08:21.836321image/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

유해야생동물포획일자지번주소위도경도데이터기준일자
0멧돼지2020-01-02충청남도 부여군 충화면 지석리 산21236.10531126.481132024-02-29
1멧돼지2020-01-02충청남도 부여군 충화면 지석리 산21236.10531126.481132024-02-29
2멧돼지2020-01-02충청남도 부여군 세도면 반조원리 산50-136.11062126.582692024-02-29
3멧돼지2020-01-02충청남도 부여군 세도면 반조원리 산50-136.11062126.582692024-02-29
4멧돼지2020-01-02충청남도 부여군 충화면 만지리 산1836.11504126.524682024-02-29
5멧돼지2020-01-02충청남도 부여군 충화면 만지리 산1836.11504126.524682024-02-29
6멧돼지2020-01-03충청남도 부여군 충화면 만지리 산50-136.11553126.520832024-02-29
7멧돼지2020-01-03충청남도 부여군 충화면 만지리 산50-136.11553126.520832024-02-29
8멧돼지2020-01-03충청남도 부여군 내산면 저동리 산33-136.16534126.455762024-02-29
9멧돼지2020-01-04충청남도 부여군 홍산면 상천리 산90-4136.15276126.443452024-02-29
유해야생동물포획일자지번주소위도경도데이터기준일자
2094멧돼지2024-02-18충청남도 부여군 임천면 발산리 43336˚ 25' 52.5127˚ 01' 75.5〃2024-02-29
2095멧돼지2024-02-26충청남도 부여군 초촌면 추양리 286-136˚ 25' 52.8127˚ 01' 75.0〃2024-02-29
2096멧돼지2024-02-26충청남도 부여군 초촌면 추양리 286-136˚ 25' 52.8127˚ 01' 75.0〃2024-02-29
2097멧돼지2024-02-26충청남도 부여군 초촌면 추양리 286-136˚ 25' 52.8127˚ 01' 75.0〃2024-02-29
2098멧돼지2024-02-26충청남도 부여군 초촌면 추양리 286-136˚ 25' 52.8127˚ 01' 75.0〃2024-02-29
2099멧돼지2024-02-26충청남도 부여군 초촌면 추양리 286-136˚ 25' 52.8127˚ 01' 75.0〃2024-02-29
2100멧돼지2024-02-26충청남도 부여군 초촌면 응평리 산1536˚ 27' 68.0127˚ 00' 43.9〃2024-02-29
2101멧돼지2024-02-26충청남도 부여군 외산면 화성리 산69-1236˚ 19' 38.9126˚ 45' 45.0〃2024-02-29
2102멧돼지2024-02-26충청남도 부여군 은산면 대양리 산24-136˚ 19' 05.6126˚ 48' 30.3〃2024-02-29
2103멧돼지2024-02-26충청남도 부여군 내산면 저동리 산26-1236˚ 16' 50.7126˚ 45' 33.5〃2024-02-29

Duplicate rows

Most frequently occurring

유해야생동물포획일자지번주소위도경도데이터기준일자# duplicates
178멧돼지2021-05-22충청남도 부여군 임천면 발산리 30636.10265126.515542024-02-298
59멧돼지2020-05-05충청남도 부여군 부여읍 신정리 산30-136.19471126.592592024-02-297
183멧돼지2021-07-09충청남도 부여군 외산면 가덕리 산1736.16577126.451052024-02-297
230멧돼지2022-04-30충청남도 부여군 초촌면 신암리 484-636.16301126.590322024-02-297
237멧돼지2022-06-16충청남도 부여군 충화면 가화리 산17236.08488126.50192024-02-297
301멧돼지2023-06-29충청남도 부여군 외산면 가덕리 산10-136˚ 15' 47.9126˚ 43' 08.8〃2024-02-297
173멧돼지2021-05-02충청남도 부여군 충화면 현미리 산436.09277126.501932024-02-296
16멧돼지2020-01-14충청남도 부여군 내산면 운치리 산54-936.1612126.455162024-02-295
22멧돼지2020-01-23충청남도 부여군 옥산면 중양리 320-636.11333126.423692024-02-295
74멧돼지2020-07-25충청남도 부여군 세도면 수고리 산12936.12104126.552512024-02-295