Overview

Dataset statistics

Number of variables20
Number of observations372
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.1 KiB
Average record size in memory176.4 B

Variable types

Categorical7
Numeric13

Dataset

Description- 사업기간 : 2023년 4월 ~ 10월- 사업지점: 인천내 도심6개소 및 도서 6개소*도심6개소: 부평구 부평동, 서구 연희동 및 백석동, 계양구 선주지동, 중구 운남동도서 6개소: 강화읍 대산리 및 월곳리, 송해면 숭뢰리 및 솔정리, 삼산면 석모리, 교동면 대룡리, 선원명 금월리- 내 용 : 유문등을 이용한 모기채집 후 종분류 등을 통해 모기 개체수 증감 및 우점종 변화추이 확인
Author인천광역시
URLhttps://www.data.go.kr/data/15075884/fileData.do

Alerts

이나토미집모기 has constant value ""Constant
연중주수 is highly overall correlated with and 1 other fieldsHigh correlation
is highly overall correlated with 연중주수High correlation
is highly overall correlated with 연중주수High correlation
얼룩날개모기류 is highly overall correlated with 동양집모기 and 1 other fieldsHigh correlation
동양집모기 is highly overall correlated with 얼룩날개모기류 and 1 other fieldsHigh correlation
빨간집모기 is highly overall correlated with 노랑늪모기High correlation
금빛숲모기 is highly overall correlated with 한국숲모기High correlation
한국숲모기 is highly overall correlated with 금빛숲모기High correlation
큰검정들모기 is highly overall correlated with 얼룩날개모기류 and 1 other fieldsHigh correlation
노랑늪모기 is highly overall correlated with 빨간집모기High correlation
노랑늪모기 is highly imbalanced (89.6%)Imbalance
등줄숲모기 is highly imbalanced (86.4%)Imbalance
얼룩날개모기류 has 138 (37.1%) zerosZeros
반점날개집모기 has 281 (75.5%) zerosZeros
동양집모기 has 197 (53.0%) zerosZeros
빨간집모기 has 43 (11.6%) zerosZeros
작은빨간집모기 has 322 (86.6%) zerosZeros
줄다리집모기 has 341 (91.7%) zerosZeros
반점날개늪모기 has 356 (95.7%) zerosZeros
흰줄숲모기 has 272 (73.1%) zerosZeros
금빛숲모기 has 163 (43.8%) zerosZeros
한국숲모기 has 138 (37.1%) zerosZeros
토고숲모기 has 327 (87.9%) zerosZeros
큰검정들모기 has 185 (49.7%) zerosZeros
금빛어깨숲모기 has 360 (96.8%) zerosZeros

Reproduction

Analysis started2024-04-21 01:42:36.516788
Analysis finished2024-04-21 01:42:54.330897
Duration17.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
06월
60 
08월
60 
04월
48 
05월
48 
07월
48 
Other values (3)
108 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04월
2nd row04월
3rd row04월
4th row04월
5th row04월

Common Values

ValueCountFrequency (%)
06월 60
16.1%
08월 60
16.1%
04월 48
12.9%
05월 48
12.9%
07월 48
12.9%
09월 48
12.9%
10월 48
12.9%
11월 12
 
3.2%

Length

2024-04-21T10:42:54.391692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:54.505611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06월 60
16.1%
08월 60
16.1%
04월 48
12.9%
05월 48
12.9%
07월 48
12.9%
09월 48
12.9%
10월 48
12.9%
11월 12
 
3.2%


Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1주
96 
2주
84 
3주
84 
4주
84 
5주
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1주
2nd row1주
3rd row1주
4th row1주
5th row1주

Common Values

ValueCountFrequency (%)
1주 96
25.8%
2주 84
22.6%
3주 84
22.6%
4주 84
22.6%
5주 24
 
6.5%

Length

2024-04-21T10:42:54.640066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:54.755225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1주 96
25.8%
2주 84
22.6%
3주 84
22.6%
4주 84
22.6%
5주 24
 
6.5%

연중주수
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
14주
 
12
15주
 
12
16주
 
12
17주
 
12
18주
 
12
Other values (26)
312 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row14주
2nd row14주
3rd row14주
4th row14주
5th row14주

Common Values

ValueCountFrequency (%)
14주 12
 
3.2%
15주 12
 
3.2%
16주 12
 
3.2%
17주 12
 
3.2%
18주 12
 
3.2%
19주 12
 
3.2%
20주 12
 
3.2%
21주 12
 
3.2%
22주 12
 
3.2%
23주 12
 
3.2%
Other values (21) 252
67.7%

Length

2024-04-21T10:42:54.867155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
14주 12
 
3.2%
30주 12
 
3.2%
43주 12
 
3.2%
42주 12
 
3.2%
41주 12
 
3.2%
40주 12
 
3.2%
39주 12
 
3.2%
38주 12
 
3.2%
37주 12
 
3.2%
36주 12
 
3.2%
Other values (21) 252
67.7%

장소
Categorical

Distinct12
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
계양구 선주지동
31 
부평구 부평동
31 
서구 청라동
31 
서구 백석동
31 
중구 운남동 (영종도)
31 
Other values (7)
217 

Length

Max length13
Median length13
Mean length10.833333
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계양구 선주지동
2nd row부평구 부평동
3rd row서구 청라동
4th row서구 백석동
5th row중구 운남동 (영종도)

Common Values

ValueCountFrequency (%)
계양구 선주지동 31
8.3%
부평구 부평동 31
8.3%
서구 청라동 31
8.3%
서구 백석동 31
8.3%
중구 운남동 (영종도) 31
8.3%
강화군 송해면 (숭뢰리) 31
8.3%
강화군 송해면 (솔정리) 31
8.3%
강화군 선원면 (금월리) 31
8.3%
강화군 삼산면 (석모리) 31
8.3%
강화군 교동면 (대룡리) 31
8.3%
Other values (2) 62
16.7%

Length

2024-04-21T10:42:54.979836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강화군 217
21.9%
송해면 62
 
6.2%
강화읍 62
 
6.2%
서구 62
 
6.2%
솔정리 31
 
3.1%
대산리 31
 
3.1%
대룡리 31
 
3.1%
교동면 31
 
3.1%
석모리 31
 
3.1%
삼산면 31
 
3.1%
Other values (13) 403
40.6%

얼룩날개모기류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct61
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.163978
Minimum0
Maximum260
Zeros138
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:55.097434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile55.9
Maximum260
Range260
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.950658
Coefficient of variation (CV)2.3244991
Kurtosis33.208358
Mean11.163978
Median Absolute Deviation (MAD)2
Skewness4.8646078
Sum4153
Variance673.43665
MonotonicityNot monotonic
2024-04-21T10:42:55.225804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
37.1%
1 44
 
11.8%
2 27
 
7.3%
3 26
 
7.0%
4 17
 
4.6%
7 11
 
3.0%
6 7
 
1.9%
14 6
 
1.6%
5 6
 
1.6%
16 4
 
1.1%
Other values (51) 86
23.1%
ValueCountFrequency (%)
0 138
37.1%
1 44
 
11.8%
2 27
 
7.3%
3 26
 
7.0%
4 17
 
4.6%
5 6
 
1.6%
6 7
 
1.9%
7 11
 
3.0%
8 4
 
1.1%
9 1
 
0.3%
ValueCountFrequency (%)
260 1
 
0.3%
206 1
 
0.3%
113 1
 
0.3%
109 1
 
0.3%
105 3
0.8%
95 1
 
0.3%
91 2
0.5%
87 1
 
0.3%
86 1
 
0.3%
79 1
 
0.3%

이나토미집모기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
372 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 372
100.0%

Length

2024-04-21T10:42:55.508982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:55.586067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 372
100.0%

반점날개집모기
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6344086
Minimum0
Maximum120
Zeros281
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:55.678934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.45
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.8582934
Coefficient of variation (CV)4.8080348
Kurtosis143.93396
Mean1.6344086
Median Absolute Deviation (MAD)0
Skewness10.608149
Sum608
Variance61.752775
MonotonicityNot monotonic
2024-04-21T10:42:55.795268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 281
75.5%
1 43
 
11.6%
2 14
 
3.8%
3 7
 
1.9%
4 4
 
1.1%
5 3
 
0.8%
15 2
 
0.5%
9 2
 
0.5%
22 1
 
0.3%
8 1
 
0.3%
Other values (14) 14
 
3.8%
ValueCountFrequency (%)
0 281
75.5%
1 43
 
11.6%
2 14
 
3.8%
3 7
 
1.9%
4 4
 
1.1%
5 3
 
0.8%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.5%
10 1
 
0.3%
ValueCountFrequency (%)
120 1
0.3%
45 1
0.3%
39 1
0.3%
35 1
0.3%
31 1
0.3%
24 1
0.3%
22 1
0.3%
20 1
0.3%
18 1
0.3%
17 1
0.3%

동양집모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1854839
Minimum0
Maximum100
Zeros197
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:55.935686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile23
Maximum100
Range100
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.616851
Coefficient of variation (CV)2.5365887
Kurtosis29.628747
Mean4.1854839
Median Absolute Deviation (MAD)0
Skewness4.8186049
Sum1557
Variance112.71752
MonotonicityNot monotonic
2024-04-21T10:42:56.074930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 197
53.0%
1 44
 
11.8%
2 24
 
6.5%
3 15
 
4.0%
6 13
 
3.5%
4 12
 
3.2%
5 10
 
2.7%
8 6
 
1.6%
10 5
 
1.3%
13 5
 
1.3%
Other values (23) 41
 
11.0%
ValueCountFrequency (%)
0 197
53.0%
1 44
 
11.8%
2 24
 
6.5%
3 15
 
4.0%
4 12
 
3.2%
5 10
 
2.7%
6 13
 
3.5%
7 4
 
1.1%
8 6
 
1.6%
9 4
 
1.1%
ValueCountFrequency (%)
100 1
0.3%
79 1
0.3%
64 1
0.3%
51 1
0.3%
45 2
0.5%
43 2
0.5%
42 1
0.3%
39 2
0.5%
33 1
0.3%
32 1
0.3%

빨간집모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct83
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.989247
Minimum0
Maximum371
Zeros43
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:56.200623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q320
95-th percentile81.35
Maximum371
Range371
Interquartile range (IQR)18

Descriptive statistics

Standard deviation39.653688
Coefficient of variation (CV)1.9837509
Kurtosis31.94817
Mean19.989247
Median Absolute Deviation (MAD)6
Skewness4.9055
Sum7436
Variance1572.415
MonotonicityNot monotonic
2024-04-21T10:42:56.347353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
11.6%
2 38
 
10.2%
1 33
 
8.9%
5 22
 
5.9%
3 20
 
5.4%
7 17
 
4.6%
4 16
 
4.3%
8 15
 
4.0%
9 15
 
4.0%
6 10
 
2.7%
Other values (73) 143
38.4%
ValueCountFrequency (%)
0 43
11.6%
1 33
8.9%
2 38
10.2%
3 20
5.4%
4 16
 
4.3%
5 22
5.9%
6 10
 
2.7%
7 17
 
4.6%
8 15
 
4.0%
9 15
 
4.0%
ValueCountFrequency (%)
371 1
0.3%
318 1
0.3%
282 1
0.3%
226 1
0.3%
178 1
0.3%
169 1
0.3%
134 1
0.3%
131 1
0.3%
117 1
0.3%
114 1
0.3%

작은빨간집모기
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61290323
Minimum0
Maximum22
Zeros322
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:56.457470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4649883
Coefficient of variation (CV)4.021823
Kurtosis43.92557
Mean0.61290323
Median Absolute Deviation (MAD)0
Skewness6.1542211
Sum228
Variance6.0761673
MonotonicityNot monotonic
2024-04-21T10:42:56.572689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 322
86.6%
1 17
 
4.6%
2 8
 
2.2%
4 6
 
1.6%
3 4
 
1.1%
5 3
 
0.8%
22 2
 
0.5%
8 2
 
0.5%
6 2
 
0.5%
20 1
 
0.3%
Other values (5) 5
 
1.3%
ValueCountFrequency (%)
0 322
86.6%
1 17
 
4.6%
2 8
 
2.2%
3 4
 
1.1%
4 6
 
1.6%
5 3
 
0.8%
6 2
 
0.5%
7 1
 
0.3%
8 2
 
0.5%
9 1
 
0.3%
ValueCountFrequency (%)
22 2
0.5%
20 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 2
0.5%
7 1
 
0.3%
6 2
0.5%
5 3
0.8%

줄다리집모기
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46505376
Minimum0
Maximum20
Zeros341
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:56.666065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.45
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1497481
Coefficient of variation (CV)4.6225798
Kurtosis41.032351
Mean0.46505376
Median Absolute Deviation (MAD)0
Skewness6.0718398
Sum173
Variance4.621417
MonotonicityNot monotonic
2024-04-21T10:42:56.780933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 341
91.7%
1 9
 
2.4%
6 5
 
1.3%
5 4
 
1.1%
2 3
 
0.8%
3 2
 
0.5%
9 1
 
0.3%
15 1
 
0.3%
17 1
 
0.3%
4 1
 
0.3%
Other values (4) 4
 
1.1%
ValueCountFrequency (%)
0 341
91.7%
1 9
 
2.4%
2 3
 
0.8%
3 2
 
0.5%
4 1
 
0.3%
5 4
 
1.1%
6 5
 
1.3%
9 1
 
0.3%
10 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
17 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
6 5
1.3%
5 4
1.1%
4 1
 
0.3%

노랑늪모기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
361 
1
 
5
2
 
4
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 361
97.0%
1 5
 
1.3%
2 4
 
1.1%
5 1
 
0.3%
3 1
 
0.3%

Length

2024-04-21T10:42:56.896084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:56.995711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 361
97.0%
1 5
 
1.3%
2 4
 
1.1%
5 1
 
0.3%
3 1
 
0.3%

반점날개늪모기
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18817204
Minimum0
Maximum11
Zeros356
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:57.093974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1072269
Coefficient of variation (CV)5.88412
Kurtosis52.725722
Mean0.18817204
Median Absolute Deviation (MAD)0
Skewness7.0010623
Sum70
Variance1.2259514
MonotonicityNot monotonic
2024-04-21T10:42:57.196889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 356
95.7%
1 5
 
1.3%
9 2
 
0.5%
4 2
 
0.5%
5 2
 
0.5%
6 1
 
0.3%
3 1
 
0.3%
11 1
 
0.3%
7 1
 
0.3%
2 1
 
0.3%
ValueCountFrequency (%)
0 356
95.7%
1 5
 
1.3%
2 1
 
0.3%
3 1
 
0.3%
4 2
 
0.5%
5 2
 
0.5%
6 1
 
0.3%
7 1
 
0.3%
9 2
 
0.5%
11 1
 
0.3%
ValueCountFrequency (%)
11 1
 
0.3%
9 2
 
0.5%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.5%
4 2
 
0.5%
3 1
 
0.3%
2 1
 
0.3%
1 5
 
1.3%
0 356
95.7%

흰줄숲모기
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.061828
Minimum0
Maximum30
Zeros272
Zeros (%)73.1%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:57.316366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.45
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.1415732
Coefficient of variation (CV)2.9586462
Kurtosis32.831721
Mean1.061828
Median Absolute Deviation (MAD)0
Skewness5.0939927
Sum395
Variance9.8694824
MonotonicityNot monotonic
2024-04-21T10:42:57.438445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 272
73.1%
1 42
 
11.3%
2 19
 
5.1%
3 10
 
2.7%
4 5
 
1.3%
5 4
 
1.1%
7 3
 
0.8%
10 3
 
0.8%
11 2
 
0.5%
14 2
 
0.5%
Other values (8) 10
 
2.7%
ValueCountFrequency (%)
0 272
73.1%
1 42
 
11.3%
2 19
 
5.1%
3 10
 
2.7%
4 5
 
1.3%
5 4
 
1.1%
6 1
 
0.3%
7 3
 
0.8%
8 1
 
0.3%
9 2
 
0.5%
ValueCountFrequency (%)
30 1
 
0.3%
25 1
 
0.3%
16 2
0.5%
14 2
0.5%
13 1
 
0.3%
12 1
 
0.3%
11 2
0.5%
10 3
0.8%
9 2
0.5%
8 1
 
0.3%

금빛숲모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4811828
Minimum0
Maximum519
Zeros163
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:57.558480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33.9
Maximum519
Range519
Interquartile range (IQR)6

Descriptive statistics

Standard deviation32.386017
Coefficient of variation (CV)3.8185732
Kurtosis173.29038
Mean8.4811828
Median Absolute Deviation (MAD)1
Skewness11.893617
Sum3155
Variance1048.8541
MonotonicityNot monotonic
2024-04-21T10:42:57.684371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 163
43.8%
1 34
 
9.1%
2 26
 
7.0%
3 19
 
5.1%
4 15
 
4.0%
6 15
 
4.0%
5 12
 
3.2%
10 8
 
2.2%
8 7
 
1.9%
18 6
 
1.6%
Other values (35) 67
18.0%
ValueCountFrequency (%)
0 163
43.8%
1 34
 
9.1%
2 26
 
7.0%
3 19
 
5.1%
4 15
 
4.0%
5 12
 
3.2%
6 15
 
4.0%
7 5
 
1.3%
8 7
 
1.9%
9 6
 
1.6%
ValueCountFrequency (%)
519 1
0.3%
203 1
0.3%
200 1
0.3%
91 1
0.3%
68 2
0.5%
58 1
0.3%
52 1
0.3%
51 1
0.3%
48 1
0.3%
47 1
0.3%

한국숲모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.577957
Minimum0
Maximum64
Zeros138
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:57.810137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28.45
Maximum64
Range64
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.9979431
Coefficient of variation (CV)1.7924023
Kurtosis8.6666907
Mean5.577957
Median Absolute Deviation (MAD)1
Skewness2.7809951
Sum2075
Variance99.958866
MonotonicityNot monotonic
2024-04-21T10:42:57.923671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 138
37.1%
1 51
 
13.7%
3 33
 
8.9%
2 31
 
8.3%
4 15
 
4.0%
5 13
 
3.5%
6 9
 
2.4%
9 7
 
1.9%
16 7
 
1.9%
12 6
 
1.6%
Other values (29) 62
16.7%
ValueCountFrequency (%)
0 138
37.1%
1 51
 
13.7%
2 31
 
8.3%
3 33
 
8.9%
4 15
 
4.0%
5 13
 
3.5%
6 9
 
2.4%
7 4
 
1.1%
8 3
 
0.8%
9 7
 
1.9%
ValueCountFrequency (%)
64 1
0.3%
58 1
0.3%
49 1
0.3%
45 2
0.5%
44 2
0.5%
43 1
0.3%
42 1
0.3%
36 2
0.5%
33 1
0.3%
32 2
0.5%

토고숲모기
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47043011
Minimum0
Maximum16
Zeros327
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:58.025678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9664811
Coefficient of variation (CV)4.1801769
Kurtosis35.910259
Mean0.47043011
Median Absolute Deviation (MAD)0
Skewness5.7480387
Sum175
Variance3.8670478
MonotonicityNot monotonic
2024-04-21T10:42:58.141929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 327
87.9%
1 22
 
5.9%
3 5
 
1.3%
2 3
 
0.8%
4 3
 
0.8%
11 2
 
0.5%
16 2
 
0.5%
5 2
 
0.5%
6 2
 
0.5%
13 1
 
0.3%
Other values (3) 3
 
0.8%
ValueCountFrequency (%)
0 327
87.9%
1 22
 
5.9%
2 3
 
0.8%
3 5
 
1.3%
4 3
 
0.8%
5 2
 
0.5%
6 2
 
0.5%
7 1
 
0.3%
10 1
 
0.3%
11 2
 
0.5%
ValueCountFrequency (%)
16 2
 
0.5%
14 1
 
0.3%
13 1
 
0.3%
11 2
 
0.5%
10 1
 
0.3%
7 1
 
0.3%
6 2
 
0.5%
5 2
 
0.5%
4 3
0.8%
3 5
1.3%

등줄숲모기
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
356 
1
 
11
5
 
2
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 356
95.7%
1 11
 
3.0%
5 2
 
0.5%
2 2
 
0.5%
3 1
 
0.3%

Length

2024-04-21T10:42:58.292476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:42:58.398675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 356
95.7%
1 11
 
3.0%
5 2
 
0.5%
2 2
 
0.5%
3 1
 
0.3%

큰검정들모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5430108
Minimum0
Maximum106
Zeros185
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:58.502732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile30.35
Maximum106
Range106
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.553212
Coefficient of variation (CV)2.2242379
Kurtosis17.708417
Mean6.5430108
Median Absolute Deviation (MAD)1
Skewness3.8659565
Sum2434
Variance211.79599
MonotonicityNot monotonic
2024-04-21T10:42:58.798833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 185
49.7%
1 33
 
8.9%
2 22
 
5.9%
3 17
 
4.6%
6 9
 
2.4%
4 9
 
2.4%
8 8
 
2.2%
16 7
 
1.9%
14 7
 
1.9%
20 6
 
1.6%
Other values (35) 69
 
18.5%
ValueCountFrequency (%)
0 185
49.7%
1 33
 
8.9%
2 22
 
5.9%
3 17
 
4.6%
4 9
 
2.4%
5 5
 
1.3%
6 9
 
2.4%
7 6
 
1.6%
8 8
 
2.2%
9 5
 
1.3%
ValueCountFrequency (%)
106 1
0.3%
96 1
0.3%
93 1
0.3%
85 1
0.3%
72 1
0.3%
69 1
0.3%
68 1
0.3%
59 1
0.3%
58 1
0.3%
55 1
0.3%

금빛어깨숲모기
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.072580645
Minimum0
Maximum7
Zeros360
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:42:58.892442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.52700732
Coefficient of variation (CV)7.2609898
Kurtosis109.30776
Mean0.072580645
Median Absolute Deviation (MAD)0
Skewness9.8576409
Sum27
Variance0.27773672
MonotonicityNot monotonic
2024-04-21T10:42:58.984347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 360
96.8%
1 7
 
1.9%
2 2
 
0.5%
5 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
ValueCountFrequency (%)
0 360
96.8%
1 7
 
1.9%
2 2
 
0.5%
4 1
 
0.3%
5 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
2 2
 
0.5%
1 7
 
1.9%
0 360
96.8%

Interactions

2024-04-21T10:42:52.792279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:38.807223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.966576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.053407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.287398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.366355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.394201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.727749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.847422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.972270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.242450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.393658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.540411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.875859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:38.937671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.043497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.125825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.361725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.439117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.482105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.806416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.950857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.053620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.320475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.478219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.621739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.969479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.016475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.120718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.204602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.443027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.516172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.566951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.882564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.033554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.140087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.406611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.569490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.704031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.046300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.090733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.197655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.279046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.520786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.588941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.646734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.955754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.112987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.219065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.486840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.649154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.784773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.145331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.172814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.284905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.355068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.609219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.679810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.735145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.048642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.194733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.317811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.572629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.733762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.884896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.239952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.263077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.365654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.426434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.685985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.746166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.810567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.120767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.268455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.388570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.642170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.811976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.971675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.334521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.366251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.464537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.516269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.781270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.827257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.910525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.220241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.363322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.472710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.726911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.915323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.061894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.411195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.461052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.549748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.621834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.869779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.901773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.989076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.311374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.442768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.548003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.811713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.000520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.139362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.514175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.551820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.629700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.714862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.961595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.983382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.076116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.406233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.523512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.644393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.923277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.096070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.212767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.602169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.627010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.709446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.804943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.035100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.066992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.167675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.494587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.622837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.731478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.009472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.190482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.477589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.706091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.704610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.794678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.880846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.111967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.156695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.421714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.572241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.714293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:48.824164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.098347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.280722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.554862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.803968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.799377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.881897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:41.969738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.203074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.243838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.533806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.656232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.809909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.088320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.184170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.371496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.639074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:53.884144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:39.876342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:40.966394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:42.201215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:43.284210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:44.315045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:45.627876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:46.738269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:47.887893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:49.162840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:50.286487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:51.449156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:42:52.711725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:42:59.075733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연중주수장소얼룩날개모기류반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기노랑늪모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기등줄숲모기큰검정들모기금빛어깨숲모기
1.0000.3221.0000.0000.3010.0950.1950.1430.4460.2610.1010.0000.3020.0000.2140.0000.0000.2220.000
0.3221.0001.0000.0000.1530.0970.2580.0000.0900.0000.0000.0790.0000.0470.0520.1390.1060.0480.000
연중주수1.0001.0001.0000.0000.3850.0000.2650.0000.3950.3950.1440.0000.2250.0000.2990.1950.1970.2640.000
장소0.0000.0000.0001.0000.2750.4710.2770.4700.1850.0710.2450.2590.3870.2500.4770.3610.2550.4730.250
얼룩날개모기류0.3010.1530.3850.2751.0000.0000.4690.0000.5790.0000.0000.0000.3110.4910.2500.3230.1480.0640.000
반점날개집모기0.0950.0970.0000.4710.0001.0000.4840.2770.3070.0000.3120.0000.4590.0000.4690.0000.0000.0000.000
동양집모기0.1950.2580.2650.2770.4690.4841.0000.0000.3950.0000.0000.0000.3740.0580.3310.0000.0000.8100.000
빨간집모기0.1430.0000.0000.4700.0000.2770.0001.0000.0000.6710.7720.7620.0000.0000.0000.0000.0000.0000.000
작은빨간집모기0.4460.0900.3950.1850.5790.3070.3950.0001.0000.0000.0000.1720.6670.5390.1670.3070.0000.5040.000
줄다리집모기0.2610.0000.3950.0710.0000.0000.0000.6710.0001.0000.0000.0000.0000.0000.0000.0000.3710.0000.000
노랑늪모기0.1010.0000.1440.2450.0000.3120.0000.7720.0000.0001.0000.7000.0000.0000.0000.0000.0000.0000.477
반점날개늪모기0.0000.0790.0000.2590.0000.0000.0000.7620.1720.0000.7001.0000.0000.0000.0000.0000.0000.0000.696
흰줄숲모기0.3020.0000.2250.3870.3110.4590.3740.0000.6670.0000.0000.0001.0000.0000.5620.2890.5920.2730.000
금빛숲모기0.0000.0470.0000.2500.4910.0000.0580.0000.5390.0000.0000.0000.0001.0000.0000.0000.0000.0000.000
한국숲모기0.2140.0520.2990.4770.2500.4690.3310.0000.1670.0000.0000.0000.5620.0001.0000.3370.4440.3540.065
토고숲모기0.0000.1390.1950.3610.3230.0000.0000.0000.3070.0000.0000.0000.2890.0000.3371.0000.0000.0000.416
등줄숲모기0.0000.1060.1970.2550.1480.0000.0000.0000.0000.3710.0000.0000.5920.0000.4440.0001.0000.0000.000
큰검정들모기0.2220.0480.2640.4730.0640.0000.8100.0000.5040.0000.0000.0000.2730.0000.3540.0000.0001.0000.000
금빛어깨숲모기0.0000.0000.0000.2500.0000.0000.0000.0000.0000.0000.4770.6960.0000.0000.0650.4160.0000.0001.000
2024-04-21T10:42:59.224650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등줄숲모기연중주수노랑늪모기장소
등줄숲모기1.0000.0890.0000.0390.0000.141
연중주수0.0891.0000.0640.9640.9680.000
노랑늪모기0.0000.0641.0000.0000.0610.136
0.0390.9640.0001.0000.2030.000
0.0000.9680.0610.2031.0000.000
장소0.1410.0000.1360.0000.0001.000
2024-04-21T10:42:59.347543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
얼룩날개모기류반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기큰검정들모기금빛어깨숲모기연중주수장소노랑늪모기등줄숲모기
얼룩날개모기류1.0000.4410.520-0.0350.328-0.2440.0610.3610.4560.4610.2950.502-0.0590.1600.1020.1540.1360.0000.096
반점날개집모기0.4411.0000.4440.0860.245-0.130-0.0050.3210.3690.4260.2890.353-0.0670.0490.0640.0000.2810.1560.000
동양집모기0.5200.4441.0000.0650.250-0.255-0.0050.3770.2910.4050.2080.563-0.0750.0900.1310.0690.1230.0440.000
빨간집모기-0.0350.0860.0651.0000.1020.1820.1960.1330.0320.205-0.089-0.0150.0740.0690.0000.0000.2190.5840.000
작은빨간집모기0.3280.2450.2500.1021.000-0.1180.1450.2950.1110.1160.1920.2700.0980.1630.0540.1590.0780.0000.000
줄다리집모기-0.244-0.130-0.2550.182-0.1181.000-0.064-0.162-0.120-0.129-0.081-0.1840.0010.0970.0000.0900.0000.0000.094
반점날개늪모기0.061-0.005-0.0050.1960.145-0.0641.000-0.014-0.107-0.047-0.002-0.1470.2630.0000.0440.0000.1120.4980.000
흰줄숲모기0.3610.3210.3770.1330.295-0.162-0.0141.0000.2790.4220.1370.320-0.0800.0830.0220.0720.1770.0000.413
금빛숲모기0.4560.3690.2910.0320.111-0.120-0.1070.2791.0000.5470.1250.376-0.0730.0000.0380.0000.1160.0000.000
한국숲모기0.4610.4260.4050.2050.116-0.129-0.0470.4220.5471.0000.2560.4670.0310.1170.0000.1090.2140.0000.253
토고숲모기0.2950.2890.208-0.0890.192-0.081-0.0020.1370.1250.2561.0000.1750.1160.0000.0840.0730.1600.0000.000
큰검정들모기0.5020.3530.563-0.0150.270-0.184-0.1470.3200.3760.4670.1751.000-0.0510.1100.0260.0970.2210.0000.000
금빛어깨숲모기-0.059-0.067-0.0750.0740.0980.0010.263-0.080-0.0730.0310.116-0.0511.0000.0000.0000.0000.0990.3470.000
0.1600.0490.0900.0690.1630.0970.0000.0830.0000.1170.0000.1100.0001.0000.2030.9680.0000.0610.000
0.1020.0640.1310.0000.0540.0000.0440.0220.0380.0000.0840.0260.0000.2031.0000.9640.0000.0000.039
연중주수0.1540.0000.0690.0000.1590.0900.0000.0720.0000.1090.0730.0970.0000.9680.9641.0000.0000.0640.089
장소0.1360.2810.1230.2190.0780.0000.1120.1770.1160.2140.1600.2210.0990.0000.0000.0001.0000.1360.141
노랑늪모기0.0000.1560.0440.5840.0000.0000.4980.0000.0000.0000.0000.0000.3470.0610.0000.0640.1361.0000.000
등줄숲모기0.0960.0000.0000.0000.0000.0940.0000.4130.0000.2530.0000.0000.0000.0000.0390.0890.1410.0001.000

Missing values

2024-04-21T10:42:54.016562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:42:54.246737image/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

연중주수장소얼룩날개모기류이나토미집모기반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기노랑늪모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기등줄숲모기큰검정들모기금빛어깨숲모기
004월1주14주계양구 선주지동0000200000000000
104월1주14주부평구 부평동0000200000000000
204월1주14주서구 청라동0000000000000000
304월1주14주서구 백석동0000100000000000
404월1주14주중구 운남동 (영종도)0000200000000000
504월1주14주강화군 송해면 (숭뢰리)3000600000000000
604월1주14주강화군 송해면 (솔정리)2000800000000000
704월1주14주강화군 선원면 (금월리)0000200000000000
804월1주14주강화군 삼산면 (석모리)3000200000000000
904월1주14주강화군 교동면 (대룡리)1002800000000000
연중주수장소얼룩날개모기류이나토미집모기반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기노랑늪모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기등줄숲모기큰검정들모기금빛어깨숲모기
36211월1주44주서구 청라동0001300000010000
36311월1주44주서구 백석동00001200000000001
36411월1주44주중구 운남동 (영종도)000152000000300290
36511월1주44주강화군 송해면 (숭뢰리)0004800000000090
36611월1주44주강화군 송해면 (솔정리)1001700000010090
36711월1주44주강화군 선원면 (금월리)0002700000000020
36811월1주44주강화군 삼산면 (석모리)1000200000020030
36911월1주44주강화군 교동면 (대룡리)0006700000000030
37011월1주44주강화군 강화읍 (대산리)00061000000001010
37111월1주44주강화군 강화읍 (월곳리)0000000000000000