Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory72.5 B

Variable types

Numeric3
Text2
Categorical3

Dataset

Description전라북도 임실군 양식장 현황의로 번호, 허가번호, 기간, 양식품종, 소재지, 수면적, 시설면적, 비고가 포함된 데이터입니다.
URLhttps://www.data.go.kr/data/15114475/fileData.do

Alerts

수면적 is highly overall correlated with 시설면적High correlation
시설면적 is highly overall correlated with 수면적High correlation
양식품종 is highly overall correlated with 비 고High correlation
비 고 is highly overall correlated with 양식품종High correlation
번호 has unique valuesUnique
허가번호 has unique valuesUnique
시설면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:20:43.852963
Analysis finished2023-12-12 09:20:45.483806
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T18:20:45.567868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-12T18:20:45.720088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

허가번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T18:20:45.937159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length25.083333
Min length17

Characters and Unicode

Total characters602
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row2019년도 임실군 신고 제1호
2nd row2019년도 임실군 신고 제2호
3rd row2019년도 임실군 신고 제6호
4th row2019년도 임실군 신고 제7호
5th row2020년도 임실군 신고 제1호
ValueCountFrequency (%)
임실군 24
23.1%
육상수조식내수양식업 11
10.6%
내수양식업 7
 
6.7%
밖의 7
 
6.7%
그 7
 
6.7%
신고 6
 
5.8%
5
 
4.8%
2019년도 4
 
3.8%
00001호 3
 
2.9%
제2021 3
 
2.9%
Other values (20) 27
26.0%
2023-12-12T18:20:46.333941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
16.6%
82
13.6%
2 56
 
9.3%
식 29
 
4.8%
수 29
 
4.8%
실 24
 
4.0%
호 24
 
4.0%
군 24
 
4.0%
제 24
 
4.0%
임 24
 
4.0%
Other values (21) 186
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
51.5%
Decimal Number 192
31.9%
Space Separator 82
 
13.6%
Dash Punctuation 18
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 29
 
9.4%
수 29
 
9.4%
실 24
 
7.7%
호 24
 
7.7%
군 24
 
7.7%
제 24
 
7.7%
임 24
 
7.7%
내 18
 
5.8%
양 18
 
5.8%
업 18
 
5.8%
Other values (10) 78
25.2%
Decimal Number
ValueCountFrequency (%)
0 100
52.1%
2 56
29.2%
1 20
 
10.4%
3 5
 
2.6%
9 4
 
2.1%
4 3
 
1.6%
6 2
 
1.0%
7 1
 
0.5%
5 1
 
0.5%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
51.5%
Common 292
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 29
 
9.4%
수 29
 
9.4%
실 24
 
7.7%
호 24
 
7.7%
군 24
 
7.7%
제 24
 
7.7%
임 24
 
7.7%
내 18
 
5.8%
양 18
 
5.8%
업 18
 
5.8%
Other values (10) 78
25.2%
Common
ValueCountFrequency (%)
0 100
34.2%
82
28.1%
2 56
19.2%
1 20
 
6.8%
- 18
 
6.2%
3 5
 
1.7%
9 4
 
1.4%
4 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
51.5%
ASCII 292
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
34.2%
82
28.1%
2 56
19.2%
1 20
 
6.8%
- 18
 
6.2%
3 5
 
1.7%
9 4
 
1.4%
4 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
Hangul
ValueCountFrequency (%)
식 29
 
9.4%
수 29
 
9.4%
실 24
 
7.7%
호 24
 
7.7%
군 24
 
7.7%
제 24
 
7.7%
임 24
 
7.7%
내 18
 
5.8%
양 18
 
5.8%
업 18
 
5.8%
Other values (10) 78
25.2%

기간
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T18:20:46.552464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters504
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row2019-04-16~2024-04-15
2nd row2019-05-08~2024-05-07
3rd row2019-12-30~2024-12-29
4th row2019-12-30~2024-12-29
5th row2020-03-24~2025-03-23
ValueCountFrequency (%)
2019-12-30~2024-12-29 2
 
8.3%
2021-12-28~2026-11-30 2
 
8.3%
2019-04-16~2024-04-15 1
 
4.2%
2021-06-21~2026-04-30 1
 
4.2%
2023-04-10~2028-04-09 1
 
4.2%
2023-02-10~2028-02-09 1
 
4.2%
2022-11-15~2027-11-14 1
 
4.2%
2022-08-18~2027-08-17 1
 
4.2%
2022-12-06~2027-12-05 1
 
4.2%
2022-09-06~2027-09-05 1
 
4.2%
Other values (12) 12
50.0%
2023-12-12T18:20:46.929048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 121
24.0%
0 106
21.0%
- 96
19.0%
1 64
12.7%
~ 24
 
4.8%
3 16
 
3.2%
4 14
 
2.8%
6 14
 
2.8%
5 13
 
2.6%
7 13
 
2.6%
Other values (2) 23
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
76.2%
Dash Punctuation 96
 
19.0%
Math Symbol 24
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 121
31.5%
0 106
27.6%
1 64
16.7%
3 16
 
4.2%
4 14
 
3.6%
6 14
 
3.6%
5 13
 
3.4%
7 13
 
3.4%
9 12
 
3.1%
8 11
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 121
24.0%
0 106
21.0%
- 96
19.0%
1 64
12.7%
~ 24
 
4.8%
3 16
 
3.2%
4 14
 
2.8%
6 14
 
2.8%
5 13
 
2.6%
7 13
 
2.6%
Other values (2) 23
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 121
24.0%
0 106
21.0%
- 96
19.0%
1 64
12.7%
~ 24
 
4.8%
3 16
 
3.2%
4 14
 
2.8%
6 14
 
2.8%
5 13
 
2.6%
7 13
 
2.6%
Other values (2) 23
 
4.6%

양식품종
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
동자개
7 
뱀장어
4 
자라
3 
쏘가리
2 
붕어류
2 
Other values (5)
6 

Length

Max length4
Median length3
Mean length2.9583333
Min length2

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row자라
2nd row잉어
3rd row동자개
4th row동자개
5th row뱀장어

Common Values

ValueCountFrequency (%)
동자개 7
29.2%
뱀장어 4
16.7%
자라 3
12.5%
쏘가리 2
 
8.3%
붕어류 2
 
8.3%
우렁이류 2
 
8.3%
잉어 1
 
4.2%
메기류 1
 
4.2%
다슬기 1
 
4.2%
민물새우 1
 
4.2%

Length

2023-12-12T18:20:47.128368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:20:47.318371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동자개 7
29.2%
뱀장어 4
16.7%
자라 3
12.5%
쏘가리 2
 
8.3%
붕어류 2
 
8.3%
우렁이류 2
 
8.3%
잉어 1
 
4.2%
메기류 1
 
4.2%
다슬기 1
 
4.2%
민물새우 1
 
4.2%

소재지
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
성수면
8 
덕치면
4 
삼계면
4 
오수면
3 
강진면
2 
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row덕치면
2nd row청웅면
3rd row성수면
4th row성수면
5th row덕치면

Common Values

ValueCountFrequency (%)
성수면 8
33.3%
덕치면 4
16.7%
삼계면 4
16.7%
오수면 3
 
12.5%
강진면 2
 
8.3%
청웅면 1
 
4.2%
신덕면 1
 
4.2%
관촌면 1
 
4.2%

Length

2023-12-12T18:20:47.589904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:20:47.736243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성수면 8
33.3%
덕치면 4
16.7%
삼계면 4
16.7%
오수면 3
 
12.5%
강진면 2
 
8.3%
청웅면 1
 
4.2%
신덕면 1
 
4.2%
관촌면 1
 
4.2%

수면적
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1769.625
Minimum92
Maximum4763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T18:20:47.910547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile149.5
Q1436
median1750.5
Q32426.25
95-th percentile4351.95
Maximum4763
Range4671
Interquartile range (IQR)1990.25

Descriptive statistics

Standard deviation1395.813
Coefficient of variation (CV)0.78876202
Kurtosis-0.49895112
Mean1769.625
Median Absolute Deviation (MAD)1281.5
Skewness0.61925794
Sum42471
Variance1948293.9
MonotonicityNot monotonic
2023-12-12T18:20:48.047136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
398 2
 
8.3%
448 1
 
4.2%
4763 1
 
4.2%
2350 1
 
4.2%
400 1
 
4.2%
2225 1
 
4.2%
1949 1
 
4.2%
4467 1
 
4.2%
1418 1
 
4.2%
2410 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
92 1
4.2%
145 1
4.2%
175 1
4.2%
398 2
8.3%
400 1
4.2%
448 1
4.2%
490 1
4.2%
958 1
4.2%
960 1
4.2%
1418 1
4.2%
ValueCountFrequency (%)
4763 1
4.2%
4467 1
4.2%
3700 1
4.2%
3350 1
4.2%
3256 1
4.2%
2475 1
4.2%
2410 1
4.2%
2350 1
4.2%
2225 1
4.2%
2048 1
4.2%

시설면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3059.1667
Minimum112
Maximum8360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T18:20:48.205920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile245.95
Q1850
median2776.5
Q34963.75
95-th percentile7685.55
Maximum8360
Range8248
Interquartile range (IQR)4113.75

Descriptive statistics

Standard deviation2516.528
Coefficient of variation (CV)0.8226188
Kurtosis-0.62053384
Mean3059.1667
Median Absolute Deviation (MAD)2097.5
Skewness0.624277
Sum73420
Variance6332913.2
MonotonicityNot monotonic
2023-12-12T18:20:48.369530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
938 1
 
4.2%
1363 1
 
4.2%
4217 1
 
4.2%
112 1
 
4.2%
2473 1
 
4.2%
3425 1
 
4.2%
5407 1
 
4.2%
3873 1
 
4.2%
7821 1
 
4.2%
398 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
112 1
4.2%
229 1
4.2%
342 1
4.2%
398 1
4.2%
450 1
4.2%
700 1
4.2%
900 1
4.2%
938 1
4.2%
1351 1
4.2%
1363 1
4.2%
ValueCountFrequency (%)
8360 1
4.2%
7821 1
4.2%
6918 1
4.2%
5407 1
4.2%
5385 1
4.2%
5170 1
4.2%
4895 1
4.2%
4217 1
4.2%
3873 1
4.2%
3425 1
4.2%

비 고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
육상수조
13 
육상노지
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row육상수조
2nd row육상노지
3rd row육상노지
4th row육상노지
5th row육상수조

Common Values

ValueCountFrequency (%)
육상수조 13
54.2%
육상노지 11
45.8%

Length

2023-12-12T18:20:48.533773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:20:48.655595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육상수조 13
54.2%
육상노지 11
45.8%

Interactions

2023-12-12T18:20:44.909896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.272132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.572167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:45.026269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.361949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.701227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:45.124446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.457453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:44.813247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:20:48.732622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호허가번호기간양식품종소재지수면적시설면적비 고
번호1.0001.0000.7830.0000.0000.5360.4700.000
허가번호1.0001.0001.0001.0001.0001.0001.0001.000
기간0.7831.0001.0001.0001.0000.9090.9271.000
양식품종0.0001.0001.0001.0000.7180.0000.5220.980
소재지0.0001.0001.0000.7181.0000.3980.0000.658
수면적0.5361.0000.9090.0000.3981.0000.8680.568
시설면적0.4701.0000.9270.5220.0000.8681.0000.493
비 고0.0001.0001.0000.9800.6580.5680.4931.000
2023-12-12T18:20:48.880510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비 고소재지양식품종
비 고1.0000.4140.697
소재지0.4141.0000.396
양식품종0.6970.3961.000
2023-12-12T18:20:49.000708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호수면적시설면적양식품종소재지비 고
번호1.0000.1520.0050.0000.0000.000
수면적0.1521.0000.6870.0000.1430.461
시설면적0.0050.6871.0000.2100.0000.394
양식품종0.0000.0000.2101.0000.3960.697
소재지0.0000.1430.0000.3961.0000.414
비 고0.0000.4610.3940.6970.4141.000

Missing values

2023-12-12T18:20:45.241367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:20:45.423083image/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

번호허가번호기간양식품종소재지수면적시설면적비 고
012019년도 임실군 신고 제1호2019-04-16~2024-04-15자라덕치면448938육상수조
122019년도 임실군 신고 제2호2019-05-08~2024-05-07잉어청웅면4901351육상노지
232019년도 임실군 신고 제6호2019-12-30~2024-12-29동자개성수면20442544육상노지
342019년도 임실군 신고 제7호2019-12-30~2024-12-29동자개성수면20483140육상노지
452020년도 임실군 신고 제1호2020-03-24~2025-03-23뱀장어덕치면37006918육상수조
562020년도 임실군 신고 제2호2020-04-01~2025-03-31메기류오수면9584895육상노지
67임실군 육상수조식내수양식업 제2020-00001호2020-10-14~2025-10-13자라강진면92229육상수조
78임실군 그 밖의 내수양식업 제 2020 - 00001호2020-11-18~2025-11-17동자개삼계면32568360육상노지
89임실군 육상수조식내수양식업 제2021 - 00001호2021-01-06~2026-01-05뱀장어성수면15523009육상수조
910임실군 육상수조식내수양식업 제2021 - 00002호2021-07-12~2026-07-11쏘가리삼계면9605385육상수조
번호허가번호기간양식품종소재지수면적시설면적비 고
1415임실군 그 밖의 내수양식업 제2021-00002호2021-06-21~2026-04-30우렁이류성수면33505170육상노지
1516임실군 육상수조식내수양식업 제2022-00001호2022-01-27~2027-01-26자라강진면398700육상수조
1617임실군 육상수조식내수양식업 제2022-00002호2022-06-09~2027-06-08쏘가리삼계면175398육상수조
1718임실군 육상수조식내수양식업 제2022-00004호2022-09-06~2027-09-05뱀장어오수면24107821육상수조
1819임실군 육상수조식내수양식업 제2022-00006호2022-12-06~2027-12-05동자개신덕면14183873육상수조
1920임실군 그 밖의 내수양식업 제2022-00002호2022-08-18~2027-08-17동자개삼계면44675407육상노지
2021임실군 그 밖의 내수양식업 제2022-00004호2022-11-15~2027-11-14동자개오수면19493425육상노지
2122임실군 그 밖의 내수양식업 제2023-00001호2023-02-10~2028-02-09민물새우성수면22252473육상노지
2223임실군 육상수조식내수양식업 제2023-00001호2023-04-10~2028-04-09뱀장어관촌면400112육상수조
2324임실군 그 밖의 내수양식업 제2023-00003호2023-05-12~2028-04-30동자개성수면23504217육상노지