Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory94.0 B

Variable types

Numeric6
Categorical4

Dataset

Description인천광역시 남동구 어선세력 (연번,기준연도,세력구분 단위,동력어선,무동력어선,1톤미만어선,1~10톤미만어선,10~100톤미만어선,100톤이상어선,데이터기준일자 등)에 대해 톤과 척수 별 현황 데이터를 제공
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087315&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
세력구분 단위 is highly overall correlated with 동력어선 and 3 other fieldsHigh correlation
100톤이상어선 is highly overall correlated with 동력어선 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 기준연도 and 1 other fieldsHigh correlation
기준연도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
동력어선 is highly overall correlated with 1-10톤미만어선 and 4 other fieldsHigh correlation
1톤미만어선 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
1-10톤미만어선 is highly overall correlated with 동력어선 and 4 other fieldsHigh correlation
10-100톤미만어선 is highly overall correlated with 동력어선 and 4 other fieldsHigh correlation
무동력어선 is highly overall correlated with 동력어선 and 3 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 10:35:37.118522
Analysis finished2024-04-17 10:35:40.695535
Duration3.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:40.748825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-17T19:35:40.872348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

기준연도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.3636
Minimum2015
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:40.973653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015.05
Q12017.25
median2020
Q32021
95-th percentile2022.95
Maximum2023
Range8
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.479352
Coefficient of variation (CV)0.0012277888
Kurtosis-0.92012423
Mean2019.3636
Median Absolute Deviation (MAD)2
Skewness-0.41889638
Sum44426
Variance6.1471861
MonotonicityIncreasing
2024-04-17T19:35:41.075765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2020 6
27.3%
2021 4
18.2%
2015 2
 
9.1%
2016 2
 
9.1%
2017 2
 
9.1%
2018 2
 
9.1%
2022 2
 
9.1%
2023 2
 
9.1%
ValueCountFrequency (%)
2015 2
 
9.1%
2016 2
 
9.1%
2017 2
 
9.1%
2018 2
 
9.1%
2020 6
27.3%
2021 4
18.2%
2022 2
 
9.1%
2023 2
 
9.1%
ValueCountFrequency (%)
2023 2
 
9.1%
2022 2
 
9.1%
2021 4
18.2%
2020 6
27.3%
2018 2
 
9.1%
2017 2
 
9.1%
2016 2
 
9.1%
2015 2
 
9.1%

세력구분 단위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
척
11 
톤
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row척
2nd row톤
3rd row척
4th row톤
5th row척

Common Values

ValueCountFrequency (%)
척 11
50.0%
톤 11
50.0%

Length

2024-04-17T19:35:41.178550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:35:41.263084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
척 11
50.0%
톤 11
50.0%

동력어선
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean963.04545
Minimum160
Maximum1991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:41.349474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile166.05
Q1171.25
median959
Q31613
95-th percentile1976.2
Maximum1991
Range1831
Interquartile range (IQR)1441.75

Descriptive statistics

Standard deviation768.52725
Coefficient of variation (CV)0.79801763
Kurtosis-2.0483254
Mean963.04545
Median Absolute Deviation (MAD)761
Skewness0.059695528
Sum21187
Variance590634.14
MonotonicityNot monotonic
2024-04-17T19:35:41.449292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
167 2
 
9.1%
347 1
 
4.5%
1604 1
 
4.5%
1560 1
 
4.5%
160 1
 
4.5%
1616 1
 
4.5%
166 1
 
4.5%
1585 1
 
4.5%
1565 1
 
4.5%
171 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
160 1
4.5%
166 1
4.5%
167 2
9.1%
169 1
4.5%
171 1
4.5%
172 1
4.5%
224 1
4.5%
347 1
4.5%
353 1
4.5%
358 1
4.5%
ValueCountFrequency (%)
1991 1
4.5%
1982 1
4.5%
1866 1
4.5%
1768 1
4.5%
1620 1
4.5%
1616 1
4.5%
1604 1
4.5%
1585 1
4.5%
1576 1
4.5%
1565 1
4.5%

무동력어선
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
16 
1
3 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
72.7%
1 3
 
13.6%
3 3
 
13.6%

Length

2024-04-17T19:35:41.557148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:35:41.648300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
72.7%
1 3
 
13.6%
3 3
 
13.6%

1톤미만어선
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.954545
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:41.733262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q337.5
95-th percentile55.7
Maximum56
Range55
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation21.140071
Coefficient of variation (CV)1.2468675
Kurtosis-0.88206527
Mean16.954545
Median Absolute Deviation (MAD)1
Skewness0.97118246
Sum373
Variance446.9026
MonotonicityNot monotonic
2024-04-17T19:35:41.824013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 6
27.3%
2 6
27.3%
56 2
 
9.1%
50 1
 
4.5%
42 1
 
4.5%
45 1
 
4.5%
46 1
 
4.5%
24 1
 
4.5%
19 1
 
4.5%
4 1
 
4.5%
ValueCountFrequency (%)
1 1
 
4.5%
2 6
27.3%
3 6
27.3%
4 1
 
4.5%
19 1
 
4.5%
24 1
 
4.5%
42 1
 
4.5%
45 1
 
4.5%
46 1
 
4.5%
50 1
 
4.5%
ValueCountFrequency (%)
56 2
 
9.1%
50 1
 
4.5%
46 1
 
4.5%
45 1
 
4.5%
42 1
 
4.5%
24 1
 
4.5%
19 1
 
4.5%
4 1
 
4.5%
3 6
27.3%
2 6
27.3%

1-10톤미만어선
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean622.54545
Minimum140
Maximum1280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:41.919636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile147.15
Q1154.25
median602
Q3982.5
95-th percentile1269
Maximum1280
Range1140
Interquartile range (IQR)828.25

Descriptive statistics

Standard deviation455.68449
Coefficient of variation (CV)0.73196983
Kurtosis-1.8970702
Mean622.54545
Median Absolute Deviation (MAD)431.5
Skewness0.12468615
Sum13696
Variance207648.35
MonotonicityNot monotonic
2024-04-17T19:35:42.029892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
286 2
 
9.1%
150 2
 
9.1%
970 1
 
4.5%
918 1
 
4.5%
140 1
 
4.5%
975 1
 
4.5%
147 1
 
4.5%
986 1
 
4.5%
966 1
 
4.5%
155 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
140 1
4.5%
147 1
4.5%
150 2
9.1%
151 1
4.5%
154 1
4.5%
155 1
4.5%
183 1
4.5%
280 1
4.5%
286 2
9.1%
918 1
4.5%
ValueCountFrequency (%)
1280 1
4.5%
1270 1
4.5%
1250 1
4.5%
1046 1
4.5%
986 1
4.5%
985 1
4.5%
975 1
4.5%
970 1
4.5%
968 1
4.5%
966 1
4.5%

10-100톤미만어선
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.09091
Minimum11
Maximum569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T19:35:42.117016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q114.5
median221
Q3500
95-th percentile563.1
Maximum569
Range558
Interquartile range (IQR)485.5

Descriptive statistics

Standard deviation250.33766
Coefficient of variation (CV)0.97373206
Kurtosis-2.1361361
Mean257.09091
Median Absolute Deviation (MAD)209.5
Skewness0.046092356
Sum5656
Variance62668.944
MonotonicityNot monotonic
2024-04-17T19:35:42.200010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
16 4
18.2%
14 2
9.1%
500 2
9.1%
12 2
9.1%
464 2
9.1%
507 2
9.1%
11 1
 
4.5%
425 1
 
4.5%
527 1
 
4.5%
17 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
11 1
 
4.5%
12 2
9.1%
13 1
 
4.5%
14 2
9.1%
16 4
18.2%
17 1
 
4.5%
425 1
 
4.5%
464 2
9.1%
471 1
 
4.5%
500 2
9.1%
ValueCountFrequency (%)
569 1
 
4.5%
565 1
 
4.5%
527 1
 
4.5%
507 2
9.1%
500 2
9.1%
471 1
 
4.5%
464 2
9.1%
425 1
 
4.5%
17 1
 
4.5%
16 4
18.2%

100톤이상어선
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
11 
133
10 
132
 
1

Length

Max length3
Median length2
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row1
2nd row132
3rd row1
4th row133
5th row1

Common Values

ValueCountFrequency (%)
1 11
50.0%
133 10
45.5%
132 1
 
4.5%

Length

2024-04-17T19:35:42.322200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:35:42.468409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
50.0%
133 10
45.5%
132 1
 
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-05-11
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-11
2nd row2023-05-11
3rd row2023-05-11
4th row2023-05-11
5th row2023-05-11

Common Values

ValueCountFrequency (%)
2023-05-11 22
100.0%

Length

2024-04-17T19:35:42.569983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:35:42.673330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-11 22
100.0%

Interactions

2024-04-17T19:35:40.022120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.423541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.837036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.337309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.119625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.566860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:40.092772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.484109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.915979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.424284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.185990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.634435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:40.173759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.559380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.004329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.507716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.277594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.718540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:40.262660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.637557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.087841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.598274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.357948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.798216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:40.341845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.704315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.162816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.673279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.425737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.871945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:40.415031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:37.768887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:38.249244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.047899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.499833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:35:39.946287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:35:42.755865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기준연도세력구분 단위동력어선무동력어선1톤미만어선1-10톤미만어선10-100톤미만어선100톤이상어선
연번1.0000.7130.0000.6740.5740.4240.5100.0000.000
기준연도0.7131.0000.0000.4830.6350.7200.6740.0000.000
세력구분 단위0.0000.0001.0001.0000.2760.3371.0001.0001.000
동력어선0.6740.4831.0001.0001.0000.8540.9870.8270.742
무동력어선0.5740.6350.2761.0001.0000.9911.0000.5790.762
1톤미만어선0.4240.7200.3370.8540.9911.0000.6720.6870.706
1-10톤미만어선0.5100.6741.0000.9871.0000.6721.0000.7390.742
10-100톤미만어선0.0000.0001.0000.8270.5790.6870.7391.0001.000
100톤이상어선0.0000.0001.0000.7420.7620.7060.7421.0001.000
2024-04-17T19:35:42.869907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무동력어선세력구분 단위100톤이상어선
무동력어선1.0000.4320.416
세력구분 단위0.4321.0000.975
100톤이상어선0.4160.9751.000
2024-04-17T19:35:42.959514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기준연도동력어선1톤미만어선1-10톤미만어선10-100톤미만어선세력구분 단위무동력어선100톤이상어선
연번1.0000.985-0.316-0.869-0.3010.0860.0000.3040.000
기준연도0.9851.000-0.432-0.829-0.422-0.0300.0000.4290.000
동력어선-0.316-0.4321.0000.0920.9820.8230.9220.9460.700
1톤미만어선-0.869-0.8290.0921.0000.070-0.1690.1910.8110.341
1-10톤미만어선-0.301-0.4220.9820.0701.0000.7740.9220.9460.700
10-100톤미만어선0.086-0.0300.823-0.1690.7741.0000.9490.5690.973
세력구분 단위0.0000.0000.9220.1910.9220.9491.0000.4320.975
무동력어선0.3040.4290.9460.8110.9460.5690.4321.0000.416
100톤이상어선0.0000.0000.7000.3410.7000.9730.9750.4161.000

Missing values

2024-04-17T19:35:40.516388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:35:40.640470image/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

연번기준연도세력구분 단위동력어선무동력어선1톤미만어선1-10톤미만어선10-100톤미만어선100톤이상어선데이터기준일자
012015척3471502861112023-05-11
122015톤186634212704251322023-05-11
232016척3581562861612023-05-11
342016톤198234512805271332023-05-11
452017척3531562801712023-05-11
562017톤199134612505651332023-05-11
672018척2240241831612023-05-11
782018톤176801910465691332023-05-11
892020척172031541412023-05-11
9102020척169041501412023-05-11
연번기준연도세력구분 단위동력어선무동력어선1톤미만어선1-10톤미만어선10-100톤미만어선100톤이상어선데이터기준일자
12132020톤1604039685001332023-05-11
13142020톤1576029704711332023-05-11
14152021척167031511212023-05-11
15162021척171031551212023-05-11
16172021톤1565029664641332023-05-11
17182021톤1585029864641332023-05-11
18192022척166021471612023-05-11
19202022톤1616019755071332023-05-11
20212023척160031401612023-05-11
21222023톤1560029185071332023-05-11