Overview

Dataset statistics

Number of variables12
Number of observations123
Missing cells124
Missing cells (%)8.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory101.1 B

Variable types

Numeric4
DateTime2
Categorical6

Dataset

Description당진시에서 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=70&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109300

Alerts

보고일자 has constant value ""Constant
개체 종류 has constant value ""Constant
포획지시도 has constant value ""Constant
포획지시군 has constant value ""Constant
지역유형 has constant value ""Constant
포획지위도 is highly overall correlated with 포획지경도 and 1 other fieldsHigh correlation
포획지경도 is highly overall correlated with 포획지위도 and 1 other fieldsHigh correlation
포획유형 is highly overall correlated with 포획지상세주소High correlation
포획지상세주소 is highly overall correlated with 포획지위도 and 2 other fieldsHigh correlation
포획유형 is highly imbalanced (88.0%)Imbalance
보고일자 has 122 (99.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:41:25.309279
Analysis finished2024-01-09 21:41:26.887564
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3776.0894
Minimum11
Maximum6584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T06:41:26.940458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile212.6
Q12530.5
median4042
Q35236.5
95-th percentile6294.1
Maximum6584
Range6573
Interquartile range (IQR)2706

Descriptive statistics

Standard deviation1819.6936
Coefficient of variation (CV)0.48189896
Kurtosis-0.80307464
Mean3776.0894
Median Absolute Deviation (MAD)1318
Skewness-0.42112527
Sum464459
Variance3311284.7
MonotonicityStrictly increasing
2024-01-10T06:41:27.043842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 1
 
0.8%
5003 1
 
0.8%
5236 1
 
0.8%
5235 1
 
0.8%
5234 1
 
0.8%
5233 1
 
0.8%
5232 1
 
0.8%
5231 1
 
0.8%
5230 1
 
0.8%
5229 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
11 1
0.8%
70 1
0.8%
157 1
0.8%
158 1
0.8%
170 1
0.8%
171 1
0.8%
212 1
0.8%
218 1
0.8%
232 1
0.8%
272 1
0.8%
ValueCountFrequency (%)
6584 1
0.8%
6583 1
0.8%
6303 1
0.8%
6302 1
0.8%
6301 1
0.8%
6300 1
0.8%
6299 1
0.8%
6250 1
0.8%
6249 1
0.8%
6094 1
0.8%

보고일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing122
Missing (%)99.2%
Memory size1.1 KiB
Minimum2020-04-14 00:00:00
Maximum2020-04-14 00:00:00
2024-01-10T06:41:27.136256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:27.205841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

포획일자
Date

Distinct106
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2020-04-14 00:00:00
Maximum2022-05-27 00:00:00
2024-01-10T06:41:27.289923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:27.387582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개체 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
멧돼지
123 

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 123
100.0%

Length

2024-01-10T06:41:27.485498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:27.553515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
멧돼지 123
100.0%

포획유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
수렵
121 
포획틀
 
2

Length

Max length3
Median length2
Mean length2.0162602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수렵 121
98.4%
포획틀 2
 
1.6%

Length

2024-01-10T06:41:27.630656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:27.703660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수렵 121
98.4%
포획틀 2
 
1.6%

포획지시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
충청남도
123 

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 123
100.0%

Length

2024-01-10T06:41:27.777272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:27.848237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 123
100.0%

포획지시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
당진시
123 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진시 123
100.0%

Length

2024-01-10T06:41:27.922150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:27.995723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시 123
100.0%

포획지상세주소
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
고대면 옥현리
 
9
대호지면 송전리
 
8
정미면 대조리
 
6
고대면 용두리
 
5
합덕읍 도곡리
 
5
Other values (44)
90 

Length

Max length9
Median length7
Mean length7.1463415
Min length3

Unique

Unique24 ?
Unique (%)19.5%

Sample

1st row고대면 장항리
2nd row고대면 장항리
3rd row정미면 대포리
4th row면천면 송학리
5th row대호지면 두산리

Common Values

ValueCountFrequency (%)
고대면 옥현리 9
 
7.3%
대호지면 송전리 8
 
6.5%
정미면 대조리 6
 
4.9%
고대면 용두리 5
 
4.1%
합덕읍 도곡리 5
 
4.1%
대호지면 두산리 5
 
4.1%
대호지면 도이리 5
 
4.1%
대호지면 적서리 5
 
4.1%
면천면 사기소리 5
 
4.1%
정미면 수당리 4
 
3.3%
Other values (39) 66
53.7%

Length

2024-01-10T06:41:28.077461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대호지면 35
 
14.7%
정미면 22
 
9.2%
고대면 19
 
8.0%
면천면 17
 
7.1%
송전리 10
 
4.2%
옥현리 9
 
3.8%
합덕읍 6
 
2.5%
사기소동 6
 
2.5%
두산리 6
 
2.5%
석문면 6
 
2.5%
Other values (41) 102
42.9%

포획지위도
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)34.4%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean36.881761
Minimum36.782783
Maximum37.033693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T06:41:28.183174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.782783
5-th percentile36.798403
Q136.844371
median36.878543
Q336.920212
95-th percentile36.96556
Maximum37.033693
Range0.25091038
Interquartile range (IQR)0.075840373

Descriptive statistics

Standard deviation0.053528949
Coefficient of variation (CV)0.0014513664
Kurtosis0.012722371
Mean36.881761
Median Absolute Deviation (MAD)0.040065075
Skewness0.44079485
Sum4499.5748
Variance0.0028653484
MonotonicityNot monotonic
2024-01-10T06:41:28.285503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
36.87854336 9
 
7.3%
36.91714558 9
 
7.3%
36.87121418 6
 
4.9%
36.84717049 6
 
4.9%
36.83460643 5
 
4.1%
36.89697925 5
 
4.1%
36.93204063 5
 
4.1%
36.92500356 5
 
4.1%
36.818084000000006 5
 
4.1%
36.95397803 5
 
4.1%
Other values (32) 62
50.4%
ValueCountFrequency (%)
36.78278255 4
3.3%
36.79644193 2
 
1.6%
36.79766886 1
 
0.8%
36.8123538 5
4.1%
36.818084000000006 5
4.1%
36.826783 2
 
1.6%
36.83460643 5
4.1%
36.83535809 2
 
1.6%
36.83701543 4
3.3%
36.84346303 1
 
0.8%
ValueCountFrequency (%)
37.03369293 1
 
0.8%
37.02130464 2
 
1.6%
37.00286325 1
 
0.8%
36.9860592 1
 
0.8%
36.98239279 1
 
0.8%
36.96616975 1
 
0.8%
36.95397803 5
4.1%
36.95375119 1
 
0.8%
36.95267605 3
2.4%
36.93301047 1
 
0.8%

포획지경도
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)34.4%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean126.58177
Minimum126.50168
Maximum126.741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T06:41:28.394250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.50168
5-th percentile126.50772
Q1126.53896
median126.569
Q3126.62326
95-th percentile126.68247
Maximum126.741
Range0.2393177
Interquartile range (IQR)0.08429115

Descriptive statistics

Standard deviation0.059557152
Coefficient of variation (CV)0.00047050338
Kurtosis-0.27440201
Mean126.58177
Median Absolute Deviation (MAD)0.045567
Skewness0.64094451
Sum15442.976
Variance0.0035470544
MonotonicityNot monotonic
2024-01-10T06:41:28.502031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
126.5087476 9
 
7.3%
126.5689968 9
 
7.3%
126.5389642 6
 
4.9%
126.6197587 6
 
4.9%
126.6326543 5
 
4.1%
126.5401646 5
 
4.1%
126.5397206 5
 
4.1%
126.61090559999998 5
 
4.1%
126.64217920000002 5
 
4.1%
126.5077246 5
 
4.1%
Other values (32) 62
50.4%
ValueCountFrequency (%)
126.5016844 1
 
0.8%
126.5053629 3
 
2.4%
126.5077246 5
4.1%
126.5087476 9
7.3%
126.513235 1
 
0.8%
126.5135226 1
 
0.8%
126.5211883 4
3.3%
126.5277742 4
3.3%
126.5389642 6
4.9%
126.5397206 5
4.1%
ValueCountFrequency (%)
126.7410021 1
 
0.8%
126.7235908 5
4.1%
126.6827309 1
 
0.8%
126.677596 1
 
0.8%
126.6620894 1
 
0.8%
126.6620152 4
3.3%
126.6549592 2
 
1.6%
126.652693 1
 
0.8%
126.6490699 2
 
1.6%
126.64217920000002 5
4.1%

포획개체수
Real number (ℝ)

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6341463
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T06:41:28.582079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1613184
Coefficient of variation (CV)0.71065756
Kurtosis5.4612414
Mean1.6341463
Median Absolute Deviation (MAD)0
Skewness2.2855066
Sum201
Variance1.3486605
MonotonicityNot monotonic
2024-01-10T06:41:28.656518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 82
66.7%
2 23
 
18.7%
3 7
 
5.7%
4 6
 
4.9%
5 3
 
2.4%
6 1
 
0.8%
7 1
 
0.8%
ValueCountFrequency (%)
1 82
66.7%
2 23
 
18.7%
3 7
 
5.7%
4 6
 
4.9%
5 3
 
2.4%
6 1
 
0.8%
7 1
 
0.8%
ValueCountFrequency (%)
7 1
 
0.8%
6 1
 
0.8%
5 3
 
2.4%
4 6
 
4.9%
3 7
 
5.7%
2 23
 
18.7%
1 82
66.7%

지역유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
그외
123 

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 123
100.0%

Length

2024-01-10T06:41:28.753396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:41:28.823958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그외 123
100.0%

Interactions

2024-01-10T06:41:26.344502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.573743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.836767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.083513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.410079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.638825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.898661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.153509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.470874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.706069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.956535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.216175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.533645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:25.771051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.020464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:41:26.280284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:41:28.871051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번포획유형포획지상세주소포획지위도포획지경도포획개체수
연번1.0000.5850.5720.4380.3550.000
포획유형0.5851.0001.0000.6010.3600.340
포획지상세주소0.5721.0001.0001.0001.0000.000
포획지위도0.4380.6011.0001.0000.7410.000
포획지경도0.3550.3601.0000.7411.0000.113
포획개체수0.0000.3400.0000.0000.1131.000
2024-01-10T06:41:28.948576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
포획지상세주소포획유형
포획지상세주소1.0000.782
포획유형0.7821.000
2024-01-10T06:41:29.017040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번포획지위도포획지경도포획개체수포획유형포획지상세주소
연번1.000-0.0250.2410.1630.4370.179
포획지위도-0.0251.000-0.541-0.0960.4480.813
포획지경도0.241-0.5411.0000.0370.3490.809
포획개체수0.163-0.0960.0371.0000.3560.000
포획유형0.4370.4480.3490.3561.0000.782
포획지상세주소0.1790.8130.8090.0000.7821.000

Missing values

2024-01-10T06:41:26.627540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:41:26.753222image/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.
2024-01-10T06:41:26.845507image/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
0112020-04-142020-04-14멧돼지수렵충청남도당진시고대면 장항리36.952676126.5890151그외
170<NA>2020-04-21멧돼지수렵충청남도당진시고대면 장항리36.952676126.5890151그외
2157<NA>2020-04-29멧돼지수렵충청남도당진시정미면 대포리<NA><NA>2그외
3158<NA>2020-04-30멧돼지수렵충청남도당진시면천면 송학리36.835358126.6549591그외
4170<NA>2020-05-02멧돼지수렵충청남도당진시대호지면 두산리36.896979126.5401651그외
5171<NA>2020-05-02멧돼지수렵충청남도당진시대호지면 송전리36.878543126.5087481그외
6212<NA>2020-05-08멧돼지수렵충청남도당진시대호지면 도이리36.932041126.5397211그외
7218<NA>2020-05-09멧돼지수렵충청남도당진시정미면 대조리36.871214126.5389644그외
8232<NA>2020-05-09멧돼지수렵충청남도당진시정미면 대조리36.871214126.5389644그외
9272<NA>2020-05-21멧돼지수렵충청남도당진시면천면 율사리36.782783126.6620152그외
연번보고일자포획일자개체 종류포획유형포획지시도포획지시군포획지상세주소포획지위도포획지경도포획개체수지역유형
1136094<NA>2022-03-10멧돼지수렵충청남도당진시고대면 옥현리36.917146126.5689973그외
1146249<NA>2022-03-21멧돼지수렵충청남도당진시고대면 옥현리36.917146126.5689971그외
1156250<NA>2022-03-29멧돼지수렵충청남도당진시대호지면 사성리36.921234126.5053631그외
1166299<NA>2022-03-31멧돼지수렵충청남도당진시정미면 봉성리36.843463126.5424361그외
1176300<NA>2022-04-01멧돼지수렵충청남도당진시고대면 옥현리36.917146126.5689971그외
1186301<NA>2022-04-06멧돼지수렵충청남도당진시합덕읍 도곡리36.812354126.7235911그외
1196302<NA>2022-04-08멧돼지수렵충청남도당진시고대면 옥현리36.917146126.5689971그외
1206303<NA>2022-04-10멧돼지수렵충청남도당진시당진시 사기소동36.84717126.6197597그외
1216583<NA>2022-05-21멧돼지수렵충청남도당진시사기소동36.84717126.6197594그외
1226584<NA>2022-05-27멧돼지수렵충청남도당진시면천면 삼웅리36.818084126.6421791그외