Overview

Dataset statistics

Number of variables12
Number of observations145
Missing cells176
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory100.9 B

Variable types

Numeric3
DateTime2
Categorical6
Text1

Dataset

Description홍성군에서 포획한 유해야생동물 중, 야생멧돼지의 포획일자, 포획방법과 위치 자료, 포획 개체 수, 포획한 지점의 지역유형에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=71&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109315

Alerts

보고일자 has constant value ""Constant
개체 종류 has constant value ""Constant
포획유형 has constant value ""Constant
포획지시도 has constant value ""Constant
포획지시군 has constant value ""Constant
지역유형 has constant value ""Constant
보고일자 has 144 (99.3%) missing valuesMissing
포획지위도 has 16 (11.0%) missing valuesMissing
포획지경도 has 16 (11.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:37:38.109320
Analysis finished2024-01-09 22:37:39.406726
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9855.931
Minimum15
Maximum44909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:37:39.470447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile1435.2
Q12503
median4248
Q35813
95-th percentile44755.2
Maximum44909
Range44894
Interquartile range (IQR)3310

Descriptive statistics

Standard deviation13305.384
Coefficient of variation (CV)1.3499876
Kurtosis2.1334977
Mean9855.931
Median Absolute Deviation (MAD)1635
Skewness1.8974828
Sum1429110
Variance1.7703325 × 108
MonotonicityNot monotonic
2024-01-10T07:37:39.581145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 1
 
0.7%
4612 1
 
0.7%
4133 1
 
0.7%
4134 1
 
0.7%
4135 1
 
0.7%
4136 1
 
0.7%
4137 1
 
0.7%
4153 1
 
0.7%
4154 1
 
0.7%
4246 1
 
0.7%
Other values (135) 135
93.1%
ValueCountFrequency (%)
15 1
0.7%
89 1
0.7%
1284 1
0.7%
1285 1
0.7%
1286 1
0.7%
1287 1
0.7%
1288 1
0.7%
1414 1
0.7%
1520 1
0.7%
1521 1
0.7%
ValueCountFrequency (%)
44909 1
0.7%
44813 1
0.7%
44812 1
0.7%
44781 1
0.7%
44780 1
0.7%
44779 1
0.7%
44762 1
0.7%
44761 1
0.7%
44732 1
0.7%
44706 1
0.7%

보고일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing144
Missing (%)99.3%
Memory size1.3 KiB
Minimum2020-04-14 00:00:00
Maximum2020-04-14 00:00:00
2024-01-10T07:37:39.667394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:39.742031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

포획일자
Date

Distinct122
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2020-01-12 00:00:00
Maximum2022-06-07 00:00:00
2024-01-10T07:37:39.839093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:40.232953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개체 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
멧돼지
145 

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 145
100.0%

Length

2024-01-10T07:37:40.369093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:40.475453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
멧돼지 145
100.0%

포획유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
수렵
145 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수렵 145
100.0%

Length

2024-01-10T07:37:40.581106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:40.686004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수렵 145
100.0%

포획지시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
충청남도
145 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 145
100.0%

Length

2024-01-10T07:37:40.791473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:40.894576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 145
100.0%

포획지시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
홍성군
145 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍성군 145
100.0%

Length

2024-01-10T07:37:40.986542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:41.075331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍성군 145
100.0%

포획지상세주소
Text

Distinct133
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:37:41.342909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length12.282759
Min length10

Characters and Unicode

Total characters1781
Distinct characters92
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

Unique122 ?
Unique (%)84.1%

Sample

1st row홍북읍 상하리산133
2nd row홍성군 구항면 청광리 산30-1
3rd row홍성군 구항면 공리 산70-1
4th row홍성군 갈산면 오두리309-19
5th row홍성군 광천읍 운용리617
ValueCountFrequency (%)
구항면 30
 
7.4%
금마면 27
 
6.6%
장곡면 17
 
4.2%
결성면 13
 
3.2%
광천읍 12
 
2.9%
갈산면 11
 
2.7%
홍동면 10
 
2.5%
홍성군 9
 
2.2%
서부면 9
 
2.2%
마온리 8
 
2.0%
Other values (191) 261
64.1%
2024-01-10T07:37:41.725703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
14.8%
리 143
 
8.0%
면 123
 
6.9%
- 89
 
5.0%
1 84
 
4.7%
5 65
 
3.6%
2 61
 
3.4%
3 60
 
3.4%
산 55
 
3.1%
4 51
 
2.9%
Other values (82) 787
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
52.3%
Decimal Number 496
27.8%
Space Separator 263
 
14.8%
Dash Punctuation 89
 
5.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 143
 
15.3%
면 123
 
13.2%
산 55
 
5.9%
성 38
 
4.1%
곡 37
 
4.0%
마 35
 
3.8%
항 35
 
3.8%
구 34
 
3.6%
홍 32
 
3.4%
금 31
 
3.3%
Other values (69) 369
39.6%
Decimal Number
ValueCountFrequency (%)
1 84
16.9%
5 65
13.1%
2 61
12.3%
3 60
12.1%
4 51
10.3%
7 50
10.1%
9 36
7.3%
0 33
 
6.7%
8 29
 
5.8%
6 27
 
5.4%
Space Separator
ValueCountFrequency (%)
263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
52.3%
Common 849
47.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 143
 
15.3%
면 123
 
13.2%
산 55
 
5.9%
성 38
 
4.1%
곡 37
 
4.0%
마 35
 
3.8%
항 35
 
3.8%
구 34
 
3.6%
홍 32
 
3.4%
금 31
 
3.3%
Other values (69) 369
39.6%
Common
ValueCountFrequency (%)
263
31.0%
- 89
 
10.5%
1 84
 
9.9%
5 65
 
7.7%
2 61
 
7.2%
3 60
 
7.1%
4 51
 
6.0%
7 50
 
5.9%
9 36
 
4.2%
0 33
 
3.9%
Other values (3) 57
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
52.3%
ASCII 849
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
31.0%
- 89
 
10.5%
1 84
 
9.9%
5 65
 
7.7%
2 61
 
7.2%
3 60
 
7.1%
4 51
 
6.0%
7 50
 
5.9%
9 36
 
4.2%
0 33
 
3.9%
Other values (3) 57
 
6.7%
Hangul
ValueCountFrequency (%)
리 143
 
15.3%
면 123
 
13.2%
산 55
 
5.9%
성 38
 
4.1%
곡 37
 
4.0%
마 35
 
3.8%
항 35
 
3.8%
구 34
 
3.6%
홍 32
 
3.4%
금 31
 
3.3%
Other values (69) 369
39.6%

포획지위도
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)89.9%
Missing16
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean36.565075
Minimum36.480239
Maximum36.648429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:37:41.853275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.480239
5-th percentile36.492477
Q136.538255
median36.562486
Q336.600118
95-th percentile36.629613
Maximum36.648429
Range0.16819095
Interquartile range (IQR)0.061863326

Descriptive statistics

Standard deviation0.040715636
Coefficient of variation (CV)0.0011135116
Kurtosis-0.70884263
Mean36.565075
Median Absolute Deviation (MAD)0.031515919
Skewness-0.13892405
Sum4716.8947
Variance0.001657763
MonotonicityNot monotonic
2024-01-10T07:37:41.991141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5616321516957 3
 
2.1%
36.6016617018097 3
 
2.1%
36.5382548277608 2
 
1.4%
36.5681319274634 2
 
1.4%
36.57543272844021 2
 
1.4%
36.54014444230409 2
 
1.4%
36.561188660917296 2
 
1.4%
36.600118153535206 2
 
1.4%
36.538993128772894 2
 
1.4%
36.5956112853194 2
 
1.4%
Other values (106) 107
73.8%
(Missing) 16
 
11.0%
ValueCountFrequency (%)
36.4802385250106 1
0.7%
36.48297934617 1
0.7%
36.4844831299883 1
0.7%
36.4865651466586 1
0.7%
36.487663258154896 1
0.7%
36.4922067141139 1
0.7%
36.49236500586029 1
0.7%
36.4926461990588 1
0.7%
36.4943103397675 1
0.7%
36.494983657422 1
0.7%
ValueCountFrequency (%)
36.6484294748844 1
0.7%
36.6443930584161 1
0.7%
36.64078324130049 1
0.7%
36.6357557966076 1
0.7%
36.6348494590136 1
0.7%
36.6336926545859 1
0.7%
36.6333736969359 1
0.7%
36.6239729540516 1
0.7%
36.619622622632896 1
0.7%
36.6192028505055 1
0.7%

포획지경도
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)89.9%
Missing16
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean126.64388
Minimum126.4979
Maximum126.76355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:37:42.119141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.4979
5-th percentile126.52381
Q1126.5972
median126.63816
Q3126.71765
95-th percentile126.74784
Maximum126.76355
Range0.26565013
Interquartile range (IQR)0.12044472

Descriptive statistics

Standard deviation0.076135209
Coefficient of variation (CV)0.0006011756
Kurtosis-1.1527046
Mean126.64388
Median Absolute Deviation (MAD)0.074852591
Skewness-0.17398923
Sum16337.06
Variance0.00579657
MonotonicityNot monotonic
2024-01-10T07:37:42.245569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.542939437386 3
 
2.1%
126.597204024637 3
 
2.1%
126.628845767569 2
 
1.4%
126.748062149131 2
 
1.4%
126.631673012978 2
 
1.4%
126.614500768644 2
 
1.4%
126.707000078659 2
 
1.4%
126.713016602336 2
 
1.4%
126.61875889982402 2
 
1.4%
126.747840971793 2
 
1.4%
Other values (106) 107
73.8%
(Missing) 16
 
11.0%
ValueCountFrequency (%)
126.497903764093 1
0.7%
126.499082051753 1
0.7%
126.508054066703 1
0.7%
126.50821949196998 1
0.7%
126.513476172118 1
0.7%
126.519244103036 1
0.7%
126.52378398158702 1
0.7%
126.523847607452 1
0.7%
126.524365364596 1
0.7%
126.526261201612 1
0.7%
ValueCountFrequency (%)
126.76355389636998 1
0.7%
126.760178810053 1
0.7%
126.758904185408 1
0.7%
126.751992944054 1
0.7%
126.748062149131 2
1.4%
126.747840971793 2
1.4%
126.747035072678 1
0.7%
126.745594931114 1
0.7%
126.745384230924 1
0.7%
126.744007431224 1
0.7%

포획개체수
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
112 
2
21 
3
 
11
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 112
77.2%
2 21
 
14.5%
3 11
 
7.6%
4 1
 
0.7%

Length

2024-01-10T07:37:42.379277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:42.477313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 112
77.2%
2 21
 
14.5%
3 11
 
7.6%
4 1
 
0.7%

지역유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
그외
145 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
그외 145
100.0%

Length

2024-01-10T07:37:42.571135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:37:42.648824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그외 145
100.0%

Interactions

2024-01-10T07:37:38.800421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.335479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.544752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.874094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.402956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.623061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.997399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.473483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:37:38.722529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:37:42.710332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번포획지위도포획지경도포획개체수
연번1.0000.2910.5890.332
포획지위도0.2911.0000.7110.045
포획지경도0.5890.7111.0000.000
포획개체수0.3320.0450.0001.000
2024-01-10T07:37:42.806311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번포획지위도포획지경도포획개체수
연번1.0000.155-0.1050.199
포획지위도0.1551.0000.0940.012
포획지경도-0.1050.0941.0000.000
포획개체수0.1990.0120.0001.000

Missing values

2024-01-10T07:37:39.121421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:37:39.266357image/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.
2024-01-10T07:37:39.361037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번보고일자포획일자개체 종류포획유형포획지시도포획지시군포획지상세주소포획지위도포획지경도포획개체수지역유형
0152020-04-142020-04-14멧돼지수렵충청남도홍성군홍북읍 상하리산13336.635756126.6417721그외
189<NA>2020-04-23멧돼지수렵충청남도홍성군홍성군 구항면 청광리 산30-136.55399126.6528871그외
244589<NA>2020-04-27멧돼지수렵충청남도홍성군홍성군 구항면 공리 산70-136.601751126.5987563그외
331413<NA>2020-05-05멧돼지수렵충청남도홍성군홍성군 갈산면 오두리309-1936.59904126.5192441그외
444617<NA>2020-05-10멧돼지수렵충청남도홍성군홍성군 광천읍 운용리61736.527575126.6658591그외
532568<NA>2020-06-21멧돼지수렵충청남도홍성군홍성군 구항면 공리173-236.601662126.5972041그외
644681<NA>2020-06-27멧돼지수렵충청남도홍성군홍성군 금마면 신곡리2536.6017126.7104461그외
713241<NA>2020-06-30멧돼지수렵충청남도홍성군홍성군 광천읍 담산리 43736.482979126.6494532그외
813606<NA>2020-06-30멧돼지수렵충청남도홍성군홍성군 금마면 봉서리 809-136.600769126.7519933그외
922372<NA>2020-07-02멧돼지수렵충청남도홍성군홍북읍 중계리344-336.633693126.6363881그외
연번보고일자포획일자개체 종류포획유형포획지시도포획지시군포획지상세주소포획지위도포획지경도포획개체수지역유형
1355570<NA>2022-01-28멧돼지수렵충청남도홍성군갈산면 대사리 17836.640783126.5490462그외
1365811<NA>2022-02-03멧돼지수렵충청남도홍성군장곡면 상송리 19336.492207126.7111661그외
1375812<NA>2022-02-05멧돼지수렵충청남도홍성군홍북읍 중계리 456 - 436.615586126.6402952그외
1385813<NA>2022-02-05멧돼지수렵충청남도홍성군결성면 성호리 35236.540296126.5338741그외
1395877<NA>2022-02-12멧돼지수렵충청남도홍성군홍동면 금당리 산6036.573574126.7455951그외
1405961<NA>2022-02-20멧돼지수렵충청남도홍성군금마면 월암리 산136-1<NA><NA>1그외
1416081<NA>2022-03-04멧돼지수렵충청남도홍성군서부면 판교리 94936.532448126.5080541그외
1426263<NA>2022-04-03멧돼지수렵충청남도홍성군장곡면 오성리 28436.49431126.6627261그외
1436453<NA>2022-04-17멧돼지수렵충청남도홍성군장곡면 대현리 산1336.501927126.7336581그외
1446613<NA>2022-06-07멧돼지수렵충청남도홍성군금마면 송암리407-336.600118126.7130171그외