Overview

Dataset statistics

Number of variables20
Number of observations356
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.3 KiB
Average record size in memory176.4 B

Variable types

Categorical8
Numeric12

Dataset

Description- 사업기간 : 2022년 4월 ~ 10월- 사업지점: 인천내 도심6개소 및 도서 6개소 *도심6개소: 부평구 부평동, 서구 연희동 및 백석동, 계양구 선주지동, 중구 운남동 도서 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://data.incheon.go.kr/findData/publicDataDetail?dataId=15075884&srcSe=7661IVAWM27C61E190

Alerts

이나토미집모기 has constant value ""Constant
is highly overall correlated with 연중주수High correlation
연중주수 is highly overall correlated with and 1 other fieldsHigh correlation
is highly overall correlated with 연중주수High correlation
얼룩날개모기류 is highly overall correlated with 금빛숲모기 and 2 other fieldsHigh correlation
동양집모기 is highly overall correlated with 큰검정들모기High correlation
반점날개늪모기 is highly overall correlated with 노랑늪모기High correlation
금빛숲모기 is highly overall correlated with 얼룩날개모기류 and 1 other fieldsHigh correlation
한국숲모기 is highly overall correlated with 얼룩날개모기류 and 2 other fieldsHigh correlation
큰검정들모기 is highly overall correlated with 얼룩날개모기류 and 2 other fieldsHigh correlation
노랑늪모기 is highly overall correlated with 반점날개늪모기High correlation
노랑늪모기 is highly imbalanced (90.7%)Imbalance
토고숲모기 is highly imbalanced (96.5%)Imbalance
금빛어깨숲모기 is highly imbalanced (89.7%)Imbalance
얼룩날개모기류 has 144 (40.4%) zerosZeros
반점날개집모기 has 296 (83.1%) zerosZeros
동양집모기 has 212 (59.6%) zerosZeros
빨간집모기 has 32 (9.0%) zerosZeros
작은빨간집모기 has 318 (89.3%) zerosZeros
줄다리집모기 has 346 (97.2%) zerosZeros
반점날개늪모기 has 340 (95.5%) zerosZeros
흰줄숲모기 has 288 (80.9%) zerosZeros
금빛숲모기 has 131 (36.8%) zerosZeros
한국숲모기 has 131 (36.8%) zerosZeros
등줄숲모기 has 321 (90.2%) zerosZeros
큰검정들모기 has 185 (52.0%) zerosZeros

Reproduction

Analysis started2024-01-28 14:24:48.220925
Analysis finished2024-01-28 14:25:01.096859
Duration12.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
06월
60 
09월
60 
04월
48 
10월
48 
07월
47 
Other values (2)
93 

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
16.9%
09월 60
16.9%
04월 48
13.5%
10월 48
13.5%
07월 47
13.2%
08월 47
13.2%
05월 46
12.9%

Length

2024-01-28T23:25:01.452410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:01.543663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06월 60
16.9%
09월 60
16.9%
04월 48
13.5%
10월 48
13.5%
07월 47
13.2%
08월 47
13.2%
05월 46
12.9%


Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2주
84 
1주
83 
4주
83 
3주
82 
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 (%)
2주 84
23.6%
1주 83
23.3%
4주 83
23.3%
3주 82
23.0%
5주 24
 
6.7%

Length

2024-01-28T23:25:01.656932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:01.756894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2주 84
23.6%
1주 83
23.3%
4주 83
23.3%
3주 82
23.0%
5주 24
 
6.7%

연중주수
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
15주
 
12
30주
 
12
44주
 
12
17주
 
12
18주
 
12
Other values (25)
296 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15주
2nd row15주
3rd row15주
4th row15주
5th row15주

Common Values

ValueCountFrequency (%)
15주 12
 
3.4%
30주 12
 
3.4%
44주 12
 
3.4%
17주 12
 
3.4%
18주 12
 
3.4%
19주 12
 
3.4%
20주 12
 
3.4%
23주 12
 
3.4%
24주 12
 
3.4%
25주 12
 
3.4%
Other values (20) 236
66.3%

Length

2024-01-28T23:25:01.868999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15주 12
 
3.4%
31주 12
 
3.4%
43주 12
 
3.4%
42주 12
 
3.4%
41주 12
 
3.4%
40주 12
 
3.4%
39주 12
 
3.4%
38주 12
 
3.4%
37주 12
 
3.4%
36주 12
 
3.4%
Other values (20) 236
66.3%

장소
Categorical

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
계양구 선주지동
30 
부평구 부평동
30 
서구 청라동
30 
서구 백석동
30 
중구 운남동 (영종도)
30 
Other values (7)
206 

Length

Max length13
Median length13
Mean length10.808989
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 30
8.4%
부평구 부평동 30
8.4%
서구 청라동 30
8.4%
서구 백석동 30
8.4%
중구 운남동 (영종도) 30
8.4%
강화군 송해면 (숭뢰리) 30
8.4%
강화군 송해면 (솔정리) 30
8.4%
강화군 선원면 (금월리) 30
8.4%
강화군 강화읍 (월곳리) 30
8.4%
강화군 삼산면 (석모리) 29
8.1%
Other values (2) 57
16.0%

Length

2024-01-28T23:25:01.967696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강화군 206
21.7%
송해면 60
 
6.3%
서구 60
 
6.3%
강화읍 59
 
6.2%
월곳리 30
 
3.2%
금월리 30
 
3.2%
선원면 30
 
3.2%
솔정리 30
 
3.2%
숭뢰리 30
 
3.2%
선주지동 30
 
3.2%
Other values (13) 383
40.4%

얼룩날개모기류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct62
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.143258
Minimum0
Maximum303
Zeros144
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:02.071457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile64.75
Maximum303
Range303
Interquartile range (IQR)12

Descriptive statistics

Standard deviation30.844439
Coefficient of variation (CV)2.3467878
Kurtosis28.643458
Mean13.143258
Median Absolute Deviation (MAD)1
Skewness4.5947451
Sum4679
Variance951.37942
MonotonicityNot monotonic
2024-01-28T23:25:02.180803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 144
40.4%
1 36
 
10.1%
2 22
 
6.2%
7 12
 
3.4%
4 11
 
3.1%
3 11
 
3.1%
6 8
 
2.2%
5 6
 
1.7%
9 6
 
1.7%
13 5
 
1.4%
Other values (52) 95
26.7%
ValueCountFrequency (%)
0 144
40.4%
1 36
 
10.1%
2 22
 
6.2%
3 11
 
3.1%
4 11
 
3.1%
5 6
 
1.7%
6 8
 
2.2%
7 12
 
3.4%
8 2
 
0.6%
9 6
 
1.7%
ValueCountFrequency (%)
303 1
0.3%
164 2
0.6%
161 1
0.3%
144 1
0.3%
143 1
0.3%
134 1
0.3%
129 1
0.3%
125 1
0.3%
97 2
0.6%
91 2
0.6%

이나토미집모기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
356 

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 (%)
0 356
100.0%

Length

2024-01-28T23:25:02.282842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:02.365164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 356
100.0%

반점날개집모기
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.255618
Minimum0
Maximum251
Zeros296
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:02.437643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.25
Maximum251
Range251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.569539
Coefficient of variation (CV)6.9025601
Kurtosis190.9756
Mean2.255618
Median Absolute Deviation (MAD)0
Skewness12.846281
Sum803
Variance242.41053
MonotonicityNot monotonic
2024-01-28T23:25:02.535151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 296
83.1%
1 24
 
6.7%
2 8
 
2.2%
3 3
 
0.8%
4 3
 
0.8%
28 2
 
0.6%
11 2
 
0.6%
6 2
 
0.6%
7 2
 
0.6%
5 2
 
0.6%
Other values (11) 12
 
3.4%
ValueCountFrequency (%)
0 296
83.1%
1 24
 
6.7%
2 8
 
2.2%
3 3
 
0.8%
4 3
 
0.8%
5 2
 
0.6%
6 2
 
0.6%
7 2
 
0.6%
9 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
251 1
0.3%
100 1
0.3%
88 1
0.3%
46 1
0.3%
29 1
0.3%
28 2
0.6%
21 2
0.6%
19 1
0.3%
18 1
0.3%
16 1
0.3%

동양집모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5224719
Minimum0
Maximum306
Zeros212
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:02.635407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19.5
Maximum306
Range306
Interquartile range (IQR)2

Descriptive statistics

Standard deviation19.808009
Coefficient of variation (CV)4.3799077
Kurtosis159.03209
Mean4.5224719
Median Absolute Deviation (MAD)0
Skewness11.416243
Sum1610
Variance392.35724
MonotonicityNot monotonic
2024-01-28T23:25:02.735761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 212
59.6%
1 43
 
12.1%
2 18
 
5.1%
3 11
 
3.1%
4 9
 
2.5%
5 9
 
2.5%
6 7
 
2.0%
7 6
 
1.7%
8 5
 
1.4%
10 3
 
0.8%
Other values (24) 33
 
9.3%
ValueCountFrequency (%)
0 212
59.6%
1 43
 
12.1%
2 18
 
5.1%
3 11
 
3.1%
4 9
 
2.5%
5 9
 
2.5%
6 7
 
2.0%
7 6
 
1.7%
8 5
 
1.4%
9 2
 
0.6%
ValueCountFrequency (%)
306 1
0.3%
137 1
0.3%
110 1
0.3%
55 1
0.3%
41 1
0.3%
40 1
0.3%
36 1
0.3%
34 1
0.3%
33 1
0.3%
32 1
0.3%

빨간집모기
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.733146
Minimum0
Maximum851
Zeros32
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:02.845348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q335
95-th percentile130.5
Maximum851
Range851
Interquartile range (IQR)31

Descriptive statistics

Standard deviation87.522354
Coefficient of variation (CV)2.3195085
Kurtosis39.755019
Mean37.733146
Median Absolute Deviation (MAD)9
Skewness5.6448318
Sum13433
Variance7660.1624
MonotonicityNot monotonic
2024-01-28T23:25:02.958750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
9.0%
2 25
 
7.0%
7 19
 
5.3%
1 16
 
4.5%
4 14
 
3.9%
6 13
 
3.7%
5 13
 
3.7%
8 12
 
3.4%
9 10
 
2.8%
3 10
 
2.8%
Other values (88) 192
53.9%
ValueCountFrequency (%)
0 32
9.0%
1 16
4.5%
2 25
7.0%
3 10
 
2.8%
4 14
3.9%
5 13
3.7%
6 13
3.7%
7 19
5.3%
8 12
 
3.4%
9 10
 
2.8%
ValueCountFrequency (%)
851 1
0.3%
766 1
0.3%
510 1
0.3%
481 1
0.3%
419 1
0.3%
383 1
0.3%
368 1
0.3%
342 1
0.3%
296 1
0.3%
286 1
0.3%

작은빨간집모기
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37078652
Minimum0
Maximum14
Zeros318
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:03.066328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4813927
Coefficient of variation (CV)3.9952713
Kurtosis35.605947
Mean0.37078652
Median Absolute Deviation (MAD)0
Skewness5.5291362
Sum132
Variance2.1945245
MonotonicityNot monotonic
2024-01-28T23:25:03.155718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 318
89.3%
1 13
 
3.7%
2 9
 
2.5%
7 3
 
0.8%
5 3
 
0.8%
3 3
 
0.8%
4 2
 
0.6%
8 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.6%
ValueCountFrequency (%)
0 318
89.3%
1 13
 
3.7%
2 9
 
2.5%
3 3
 
0.8%
4 2
 
0.6%
5 3
 
0.8%
6 1
 
0.3%
7 3
 
0.8%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
14 1
 
0.3%
11 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 3
 
0.8%
6 1
 
0.3%
5 3
 
0.8%
4 2
 
0.6%
3 3
 
0.8%
2 9
2.5%

줄다리집모기
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96067416
Minimum0
Maximum305
Zeros346
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:03.262419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum305
Range305
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.179403
Coefficient of variation (CV)16.841718
Kurtosis354.23203
Mean0.96067416
Median Absolute Deviation (MAD)0
Skewness18.798978
Sum342
Variance261.7731
MonotonicityNot monotonic
2024-01-28T23:25:03.358250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 346
97.2%
2 2
 
0.6%
7 2
 
0.6%
1 2
 
0.6%
305 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
0 346
97.2%
1 2
 
0.6%
2 2
 
0.6%
3 1
 
0.3%
4 1
 
0.3%
7 2
 
0.6%
10 1
 
0.3%
305 1
 
0.3%
ValueCountFrequency (%)
305 1
 
0.3%
10 1
 
0.3%
7 2
 
0.6%
4 1
 
0.3%
3 1
 
0.3%
2 2
 
0.6%
1 2
 
0.6%
0 346
97.2%

노랑늪모기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
348 
1
 
4
2
 
3
4
 
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 (%)
0 348
97.8%
1 4
 
1.1%
2 3
 
0.8%
4 1
 
0.3%

Length

2024-01-28T23:25:03.460272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:03.548525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 348
97.8%
1 4
 
1.1%
2 3
 
0.8%
4 1
 
0.3%

반점날개늪모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.098314607
Minimum0
Maximum5
Zeros340
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:03.624645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.54529741
Coefficient of variation (CV)5.5464536
Kurtosis49.804974
Mean0.098314607
Median Absolute Deviation (MAD)0
Skewness6.7705019
Sum35
Variance0.29734926
MonotonicityNot monotonic
2024-01-28T23:25:03.712057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 340
95.5%
1 8
 
2.2%
3 3
 
0.8%
5 2
 
0.6%
2 2
 
0.6%
4 1
 
0.3%
ValueCountFrequency (%)
0 340
95.5%
1 8
 
2.2%
2 2
 
0.6%
3 3
 
0.8%
4 1
 
0.3%
5 2
 
0.6%
ValueCountFrequency (%)
5 2
 
0.6%
4 1
 
0.3%
3 3
 
0.8%
2 2
 
0.6%
1 8
 
2.2%
0 340
95.5%

흰줄숲모기
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55898876
Minimum0
Maximum11
Zeros288
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:03.795686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6096201
Coefficient of variation (CV)2.8795213
Kurtosis16.05796
Mean0.55898876
Median Absolute Deviation (MAD)0
Skewness3.8504326
Sum199
Variance2.5908767
MonotonicityNot monotonic
2024-01-28T23:25:03.883686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 288
80.9%
1 29
 
8.1%
2 15
 
4.2%
5 5
 
1.4%
3 5
 
1.4%
6 5
 
1.4%
9 2
 
0.6%
8 2
 
0.6%
4 2
 
0.6%
11 1
 
0.3%
Other values (2) 2
 
0.6%
ValueCountFrequency (%)
0 288
80.9%
1 29
 
8.1%
2 15
 
4.2%
3 5
 
1.4%
4 2
 
0.6%
5 5
 
1.4%
6 5
 
1.4%
7 1
 
0.3%
8 2
 
0.6%
9 2
 
0.6%
ValueCountFrequency (%)
11 1
 
0.3%
10 1
 
0.3%
9 2
 
0.6%
8 2
 
0.6%
7 1
 
0.3%
6 5
 
1.4%
5 5
 
1.4%
4 2
 
0.6%
3 5
 
1.4%
2 15
4.2%

금빛숲모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct69
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.69382
Minimum0
Maximum2066
Zeros131
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:04.001382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile75.75
Maximum2066
Range2066
Interquartile range (IQR)16

Descriptive statistics

Standard deviation151.40071
Coefficient of variation (CV)5.6717511
Kurtosis140.85594
Mean26.69382
Median Absolute Deviation (MAD)2
Skewness11.539874
Sum9503
Variance22922.174
MonotonicityNot monotonic
2024-01-28T23:25:04.112306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131
36.8%
1 35
 
9.8%
2 17
 
4.8%
4 12
 
3.4%
7 11
 
3.1%
6 11
 
3.1%
9 7
 
2.0%
3 7
 
2.0%
5 7
 
2.0%
20 6
 
1.7%
Other values (59) 112
31.5%
ValueCountFrequency (%)
0 131
36.8%
1 35
 
9.8%
2 17
 
4.8%
3 7
 
2.0%
4 12
 
3.4%
5 7
 
2.0%
6 11
 
3.1%
7 11
 
3.1%
8 6
 
1.7%
9 7
 
2.0%
ValueCountFrequency (%)
2066 1
0.3%
1735 1
0.3%
897 1
0.3%
217 1
0.3%
164 1
0.3%
148 1
0.3%
117 1
0.3%
104 1
0.3%
103 1
0.3%
96 2
0.6%

한국숲모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8314607
Minimum0
Maximum45
Zeros131
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:04.210479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile18
Maximum45
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.1864285
Coefficient of variation (CV)1.4874236
Kurtosis7.6645491
Mean4.8314607
Median Absolute Deviation (MAD)2
Skewness2.4254758
Sum1720
Variance51.644754
MonotonicityNot monotonic
2024-01-28T23:25:04.306183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 131
36.8%
1 42
 
11.8%
2 27
 
7.6%
3 22
 
6.2%
8 18
 
5.1%
7 13
 
3.7%
6 13
 
3.7%
4 11
 
3.1%
5 11
 
3.1%
10 8
 
2.2%
Other values (20) 60
16.9%
ValueCountFrequency (%)
0 131
36.8%
1 42
 
11.8%
2 27
 
7.6%
3 22
 
6.2%
4 11
 
3.1%
5 11
 
3.1%
6 13
 
3.7%
7 13
 
3.7%
8 18
 
5.1%
9 7
 
2.0%
ValueCountFrequency (%)
45 1
 
0.3%
42 2
0.6%
35 1
 
0.3%
34 1
 
0.3%
31 1
 
0.3%
27 1
 
0.3%
23 2
0.6%
22 1
 
0.3%
21 4
1.1%
20 1
 
0.3%

토고숲모기
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
354 
11
 
1
5
 
1

Length

Max length2
Median length1
Mean length1.002809
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 354
99.4%
11 1
 
0.3%
5 1
 
0.3%

Length

2024-01-28T23:25:04.416953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:04.507595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 354
99.4%
11 1
 
0.3%
5 1
 
0.3%

등줄숲모기
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36516854
Minimum0
Maximum32
Zeros321
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:04.579507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4885813
Coefficient of variation (CV)6.8148842
Kurtosis131.22549
Mean0.36516854
Median Absolute Deviation (MAD)0
Skewness11.04097
Sum130
Variance6.1930369
MonotonicityNot monotonic
2024-01-28T23:25:04.673005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 321
90.2%
1 21
 
5.9%
2 7
 
2.0%
4 3
 
0.8%
32 1
 
0.3%
9 1
 
0.3%
12 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
0 321
90.2%
1 21
 
5.9%
2 7
 
2.0%
4 3
 
0.8%
9 1
 
0.3%
12 1
 
0.3%
30 1
 
0.3%
32 1
 
0.3%
ValueCountFrequency (%)
32 1
 
0.3%
30 1
 
0.3%
12 1
 
0.3%
9 1
 
0.3%
4 3
 
0.8%
2 7
 
2.0%
1 21
 
5.9%
0 321
90.2%

큰검정들모기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5674157
Minimum0
Maximum163
Zeros185
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-28T23:25:04.775759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile62
Maximum163
Range163
Interquartile range (IQR)5

Descriptive statistics

Standard deviation24.787058
Coefficient of variation (CV)2.5907788
Kurtosis13.684474
Mean9.5674157
Median Absolute Deviation (MAD)0
Skewness3.6240223
Sum3406
Variance614.39826
MonotonicityNot monotonic
2024-01-28T23:25:04.888389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
52.0%
1 35
 
9.8%
2 19
 
5.3%
3 17
 
4.8%
5 10
 
2.8%
4 8
 
2.2%
8 7
 
2.0%
6 5
 
1.4%
10 4
 
1.1%
7 4
 
1.1%
Other values (45) 62
 
17.4%
ValueCountFrequency (%)
0 185
52.0%
1 35
 
9.8%
2 19
 
5.3%
3 17
 
4.8%
4 8
 
2.2%
5 10
 
2.8%
6 5
 
1.4%
7 4
 
1.1%
8 7
 
2.0%
9 3
 
0.8%
ValueCountFrequency (%)
163 1
 
0.3%
143 1
 
0.3%
133 1
 
0.3%
129 1
 
0.3%
119 1
 
0.3%
107 2
0.6%
106 3
0.8%
105 1
 
0.3%
99 1
 
0.3%
89 1
 
0.3%

금빛어깨숲모기
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
347 
1
 
4
2
 
4
4
 
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 (%)
0 347
97.5%
1 4
 
1.1%
2 4
 
1.1%
4 1
 
0.3%

Length

2024-01-28T23:25:05.001310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:25:05.084885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 347
97.5%
1 4
 
1.1%
2 4
 
1.1%
4 1
 
0.3%

Interactions

2024-01-28T23:24:59.831740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.246183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.200665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.474200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.408000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.333028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.251480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.157124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.367658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.236944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.083270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.961140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.911613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.329974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.273845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.553532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.484997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.409848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.324270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.249409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.444075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.306048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.158436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.039706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.989853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.397366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.358670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.620199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.560069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.481957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.396816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.320563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.521068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.369275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.228730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.107630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.065569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.470746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.436110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.693065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.660496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.557963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.473295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.392897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.595942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.443099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.301581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.185036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.141487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.555217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.506495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.759788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.741857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.628609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.538291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.456436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.661810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.520121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.385026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.252017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.226119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.646706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.898478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.840214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.832825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.718007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.619688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.548879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.732795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.602965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.466962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.330097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.320873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.728153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.985791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.923685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.910516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.795622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.691305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.638940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.802718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.677537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.538223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.400398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.396444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.820255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.070590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.007265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.991240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.872506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.761322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.716598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.871752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.745337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.603970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.475221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.481399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.891427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.148210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.087017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.057507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.952674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.835112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.785807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:56.935821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.812975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.672863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.545396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.550561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:49.958453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.235147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.162254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.117350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.024416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.903125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.849479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.001611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.874975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.739323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.614905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.624407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.042586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.312938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.237252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.184030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.095547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.976815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.911965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.070594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.940214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.807919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.681178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:25:00.702397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:50.120032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:51.395498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:52.314681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:53.251889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:54.173724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.063109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:55.983064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:57.158393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.008937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:58.886315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:24:59.752984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:25:05.158727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연중주수장소얼룩날개모기류반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기노랑늪모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기등줄숲모기큰검정들모기금빛어깨숲모기
1.0000.2141.0000.0000.4040.0000.1190.2230.2920.0330.0540.1080.3080.0480.3360.0000.0000.1820.051
0.2141.0001.0000.0000.0720.0960.0000.0000.0000.0000.0270.0960.0000.0000.0860.1510.1100.0940.000
연중주수1.0001.0001.0000.0000.5440.0000.1390.0000.4040.0000.0000.1200.3320.1330.4040.0000.0000.0000.000
장소0.0000.0000.0001.0000.1890.4240.2090.5400.0870.0000.3290.4320.2840.0000.4520.0710.2760.4600.289
얼룩날개모기류0.4040.0720.5440.1891.0000.0190.3120.0000.5290.0000.0000.0000.2650.0000.2440.0000.0000.4440.086
반점날개집모기0.0000.0960.0000.4240.0191.0000.0000.3440.3760.0000.6050.0000.4210.0000.6090.0000.0000.0000.263
동양집모기0.1190.0000.1390.2090.3120.0001.0000.0000.2180.0000.0000.0000.6890.0000.7060.0000.0000.6280.000
빨간집모기0.2230.0000.0000.5400.0000.3440.0001.0000.0000.4000.4950.5820.0000.0000.0000.0000.0000.0000.236
작은빨간집모기0.2920.0000.4040.0870.5290.3760.2180.0001.0000.0000.0000.0000.3480.0000.1200.5370.0000.2870.000
줄다리집모기0.0330.0000.0000.0000.0000.0000.0000.4000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
노랑늪모기0.0540.0270.0000.3290.0000.6050.0000.4950.0000.0001.0000.6800.0000.0000.2370.0000.0000.0000.000
반점날개늪모기0.1080.0960.1200.4320.0000.0000.0000.5820.0000.0000.6801.0000.0000.0000.0000.0000.0000.0000.000
흰줄숲모기0.3080.0000.3320.2840.2650.4210.6890.0000.3480.0000.0000.0001.0000.0000.6110.0000.7490.4310.000
금빛숲모기0.0480.0000.1330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.000
한국숲모기0.3360.0860.4040.4520.2440.6090.7060.0000.1200.0000.2370.0000.6110.0001.0000.0000.4740.3830.000
토고숲모기0.0000.1510.0000.0710.0000.0000.0000.0000.5370.0000.0000.0000.0000.0000.0001.0000.0000.0000.000
등줄숲모기0.0000.1100.0000.2760.0000.0000.0000.0000.0000.0000.0000.0000.7490.0000.4740.0001.0000.0000.000
큰검정들모기0.1820.0940.0000.4600.4440.0000.6280.0000.2870.0000.0000.0000.4310.0000.3830.0000.0001.0000.214
금빛어깨숲모기0.0510.0000.0000.2890.0860.2630.0000.2360.0000.0000.0000.0000.0000.0000.0000.0000.0000.2141.000
2024-01-28T23:25:05.299151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소연중주수노랑늪모기토고숲모기금빛어깨숲모기
장소1.0000.0000.0000.0000.1550.0300.135
0.0001.0000.9660.1380.0370.0000.034
연중주수0.0000.9661.0000.9640.0000.0000.000
0.0000.1380.9641.0000.0210.1140.000
노랑늪모기0.1550.0370.0000.0211.0000.0000.000
토고숲모기0.0300.0000.0000.1140.0001.0000.000
금빛어깨숲모기0.1350.0340.0000.0000.0000.0001.000
2024-01-28T23:25:05.401778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
얼룩날개모기류반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기등줄숲모기큰검정들모기연중주수장소노랑늪모기토고숲모기금빛어깨숲모기
얼룩날개모기류1.0000.4690.4880.0140.348-0.1820.0930.4050.6190.5290.0390.5910.1500.0450.2530.0920.0000.0000.059
반점날개집모기0.4691.0000.4860.1290.311-0.0760.0760.2970.2470.297-0.1260.3290.0000.0780.0000.2050.2740.0000.106
동양집모기0.4880.4861.0000.0610.265-0.110-0.0660.3560.2940.314-0.1500.5400.0760.0000.0560.1150.0000.0000.000
빨간집모기0.0140.1290.0611.0000.0150.0530.2460.1360.1460.3310.1720.0350.0790.0000.0000.2970.3610.0000.163
작은빨간집모기0.3480.3110.2650.0151.000-0.0590.0910.3050.2180.1760.0380.2480.1580.0000.1560.0360.0000.2770.000
줄다리집모기-0.182-0.076-0.1100.053-0.0591.000-0.037-0.082-0.177-0.155-0.056-0.1330.0340.0000.0000.0000.0000.0000.000
반점날개늪모기0.0930.076-0.0660.2460.091-0.0371.000-0.065-0.0290.015-0.028-0.0960.0640.0640.0440.1820.5080.0000.000
흰줄숲모기0.4050.2970.3560.1360.305-0.082-0.0651.0000.3480.4380.0750.3760.1600.0000.1070.1220.0000.0000.000
금빛숲모기0.6190.2470.2940.1460.218-0.177-0.0290.3481.0000.5660.0400.4740.0300.0000.0540.0000.0000.0000.000
한국숲모기0.5290.2970.3140.3310.176-0.1550.0150.4380.5661.0000.2140.5850.1760.0550.1380.2200.1560.0680.000
등줄숲모기0.039-0.126-0.1500.1720.038-0.056-0.0280.0750.0400.2141.000-0.0240.0000.0410.0000.1540.0000.0000.000
큰검정들모기0.5910.3290.5400.0350.248-0.133-0.0960.3760.4740.585-0.0241.0000.0920.0380.0000.2120.0000.0000.128
0.1500.0000.0760.0790.1580.0340.0640.1600.0300.1760.0000.0921.0000.1380.9660.0000.0370.0000.034
0.0450.0780.0000.0000.0000.0000.0640.0000.0000.0550.0410.0380.1381.0000.9640.0000.0210.1140.000
연중주수0.2530.0000.0560.0000.1560.0000.0440.1070.0540.1380.0000.0000.9660.9641.0000.0000.0000.0000.000
장소0.0920.2050.1150.2970.0360.0000.1820.1220.0000.2200.1540.2120.0000.0000.0001.0000.1550.0300.135
노랑늪모기0.0000.2740.0000.3610.0000.0000.5080.0000.0000.1560.0000.0000.0370.0210.0000.1551.0000.0000.000
토고숲모기0.0000.0000.0000.0000.2770.0000.0000.0000.0000.0680.0000.0000.0000.1140.0000.0300.0001.0000.000
금빛어깨숲모기0.0590.1060.0000.1630.0000.0000.0000.0000.0000.0000.0000.1280.0340.0000.0000.1350.0000.0001.000

Missing values

2024-01-28T23:25:00.833690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:25:01.022669image/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
004월1주15주계양구 선주지동00002400000000000
104월1주15주부평구 부평동0000200000000000
204월1주15주서구 청라동0000200000000000
304월1주15주서구 백석동00013500000500000
404월1주15주중구 운남동 (영종도)0000000000000000
504월1주15주강화군 송해면 (숭뢰리)0000000000000000
604월1주15주강화군 송해면 (솔정리)0000000000000000
704월1주15주강화군 선원면 (금월리)1000000000000000
804월1주15주강화군 삼산면 (석모리)1000000000000000
904월1주15주강화군 교동면 (대룡리)0000000000000000
연중주수장소얼룩날개모기류이나토미집모기반점날개집모기동양집모기빨간집모기작은빨간집모기줄다리집모기노랑늪모기반점날개늪모기흰줄숲모기금빛숲모기한국숲모기토고숲모기등줄숲모기큰검정들모기금빛어깨숲모기
34610월4주44주서구 청라동0001700000100000
34710월4주44주서구 백석동00001200000000000
34810월4주44주중구 운남동 (영종도)00003700000010210
34910월4주44주강화군 송해면 (숭뢰리)100213000001000100
35010월4주44주강화군 송해면 (솔정리)1003700000200080
35110월4주44주강화군 선원면 (금월리)0000100000000000
35210월4주44주강화군 삼산면 (석모리)0000100000000000
35310월4주44주강화군 교동면 (대룡리)30035700000020070
35410월4주44주강화군 강화읍 (대산리)0015300000010020
35510월4주44주강화군 강화읍 (월곳리)0000000000000000