Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1014.0 B
Average record size in memory48.3 B

Variable types

Categorical3
Numeric2

Dataset

Description구군별 울산광역시(동구, 북구, 울주군) 어업권(마을어업, 협동어업, 양식어업 등)에 대한 정보를 제공하고 있음.
URLhttps://www.data.go.kr/data/3076124/fileData.do

Alerts

구분 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
분류 is highly overall correlated with 구분High correlation
건수 is highly overall correlated with 면적High correlation
면적 is highly overall correlated with 건수 and 1 other fieldsHigh correlation
건수 has 2 (9.5%) zerosZeros
면적 has 2 (9.5%) zerosZeros

Reproduction

Analysis started2023-12-12 16:46:45.373603
Analysis finished2023-12-12 16:46:45.915377
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
양식어업
9 
마을어업
3 
정치어업
3 
협동양식
3 
복합양식
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row마을어업
2nd row정치어업
3rd row협동양식
4th row양식어업
5th row양식어업

Common Values

ValueCountFrequency (%)
양식어업 9
42.9%
마을어업 3
 
14.3%
정치어업 3
 
14.3%
협동양식 3
 
14.3%
복합양식 3
 
14.3%

Length

2023-12-13T01:46:45.963277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:46.052854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양식어업 9
42.9%
마을어업 3
 
14.3%
정치어업 3
 
14.3%
협동양식 3
 
14.3%
복합양식 3
 
14.3%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
해조류
3 
패류
3 
어류 등
3 

Length

Max length4
Median length4
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row해조류
5th row패류

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
해조류 3
 
14.3%
패류 3
 
14.3%
어류 등 3
 
14.3%

Length

2023-12-13T01:46:46.172746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:46.275766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
50.0%
해조류 3
 
12.5%
패류 3
 
12.5%
어류 3
 
12.5%
등 3
 
12.5%

시군구
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
동구
7 
북구
7 
울주군
7 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 7
33.3%
북구 7
33.3%
울주군 7
33.3%

Length

2023-12-13T01:46:46.386632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:46.482600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 7
33.3%
북구 7
33.3%
울주군 7
33.3%

건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7619048
Minimum0
Maximum15
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T01:46:46.609386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.713553
Coefficient of variation (CV)0.98714701
Kurtosis2.7629839
Mean3.7619048
Median Absolute Deviation (MAD)1
Skewness1.5542355
Sum79
Variance13.790476
MonotonicityNot monotonic
2023-12-13T01:46:46.710562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5
23.8%
2 4
19.0%
3 3
14.3%
7 3
14.3%
0 2
 
9.5%
8 2
 
9.5%
5 1
 
4.8%
15 1
 
4.8%
ValueCountFrequency (%)
0 2
 
9.5%
1 5
23.8%
2 4
19.0%
3 3
14.3%
5 1
 
4.8%
7 3
14.3%
8 2
 
9.5%
15 1
 
4.8%
ValueCountFrequency (%)
15 1
 
4.8%
8 2
 
9.5%
7 3
14.3%
5 1
 
4.8%
3 3
14.3%
2 4
19.0%
1 5
23.8%
0 2
 
9.5%

면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.571429
Minimum0
Maximum352
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T01:46:46.811589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median20
Q346
95-th percentile304
Maximum352
Range352
Interquartile range (IQR)39

Descriptive statistics

Standard deviation98.230123
Coefficient of variation (CV)1.6217237
Kurtosis4.4994387
Mean60.571429
Median Absolute Deviation (MAD)15
Skewness2.2947166
Sum1272
Variance9649.1571
MonotonicityNot monotonic
2023-12-13T01:46:46.932119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 2
 
9.5%
0 2
 
9.5%
18 2
 
9.5%
304 1
 
4.8%
33 1
 
4.8%
90 1
 
4.8%
7 1
 
4.8%
31 1
 
4.8%
62 1
 
4.8%
9 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 2
9.5%
4 1
4.8%
5 2
9.5%
7 1
4.8%
9 1
4.8%
11 1
4.8%
18 2
9.5%
20 1
4.8%
31 1
4.8%
33 1
4.8%
ValueCountFrequency (%)
352 1
4.8%
304 1
4.8%
183 1
4.8%
90 1
4.8%
62 1
4.8%
46 1
4.8%
39 1
4.8%
35 1
4.8%
33 1
4.8%
31 1
4.8%

Interactions

2023-12-13T01:46:45.666424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:45.531992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:45.735158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:46:45.599265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:46:47.021775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류구분시군구건수면적
분류1.000NaN0.0000.3400.511
구분NaN1.0000.0000.5980.429
시군구0.0000.0001.0000.1900.000
건수0.3400.5980.1901.0000.850
면적0.5110.4290.0000.8501.000
2023-12-13T01:46:47.112216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분분류시군구
구분1.0001.0000.000
분류1.0001.0000.000
시군구0.0000.0001.000
2023-12-13T01:46:47.189455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수면적분류구분시군구
건수1.0000.8260.2370.3850.217
면적0.8261.0000.3470.6060.000
분류0.2370.3471.0001.0000.000
구분0.3850.6061.0001.0000.000
시군구0.2170.0000.0000.0001.000

Missing values

2023-12-13T01:46:45.820420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:46:45.889042image/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

분류구분시군구건수면적
0마을어업<NA>동구5304
1정치어업<NA>동구311
2협동양식<NA>동구139
3양식어업해조류동구14
4양식어업패류동구15
5양식어업어류 등동구00
6복합양식<NA>동구220
7마을어업<NA>북구8352
8정치어업<NA>북구218
9협동양식<NA>북구235
분류구분시군구건수면적
11양식어업패류북구318
12양식어업어류 등북구15
13복합양식<NA>북구833
14마을어업<NA>울주군7183
15정치어업<NA>울주군00
16협동양식<NA>울주군19
17양식어업해조류울주군762
18양식어업패류울주군331
19양식어업어류 등울주군27
20복합양식<NA>울주군1590