Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 B
Average record size in memory38.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description사용자는 해양산부에서 제공하는 부산울산 공동해역 데이터를 파일(csv)형식으로 사용 및 활용 할 수 있으며 공간정보를 포함한 정보를 간략하게 제공합니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15112984/fileData.do

Alerts

레이어명(lyr_nm) has constant value ""Constant
일련번호(gid) has unique valuesUnique
레이어분류내용(lyr_cl_cn) has unique valuesUnique
공간정보(geom) has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:17:46.811727
Analysis finished2024-03-23 04:17:48.416305
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-23T04:17:48.754036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-03-23T04:17:49.399060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

레이어명(lyr_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
부산울산공동해역
25 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산울산공동해역 25
100.0%

Length

2024-03-23T04:17:50.096625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:17:50.522121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산울산공동해역 25
100.0%
Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-23T04:17:51.018296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length35.36
Min length35

Characters and Unicode

Total characters884
Distinct characters37
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q1)
2nd row해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q2)
3rd row해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R1)
4th row해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R2)
5th row해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q3)
ValueCountFrequency (%)
해양공간이 25
25.0%
해양공간의 25
25.0%
수립된 25
25.0%
범위(msp_gr3_g3b41_q 1
 
1.0%
범위(msp_gr3_g3b34_j 1
 
1.0%
범위(msp_gr3_g3b43_b 1
 
1.0%
범위(msp_gr3_g3b43_a 1
 
1.0%
범위(msp_gr3_g3b34_e 1
 
1.0%
범위(msp_gr3_g3b34_d 1
 
1.0%
범위(msp_gr3_g3b41_v 1
 
1.0%
Other values (18) 18
18.0%
2024-03-23T04:17:52.289123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 75
 
8.5%
75
 
8.5%
3 63
 
7.1%
50
 
5.7%
50
 
5.7%
50
 
5.7%
50
 
5.7%
G 50
 
5.7%
R 30
 
3.4%
S 26
 
2.9%
Other values (27) 365
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
42.4%
Uppercase Letter 200
22.6%
Decimal Number 109
 
12.3%
Connector Punctuation 75
 
8.5%
Space Separator 75
 
8.5%
Close Punctuation 25
 
2.8%
Open Punctuation 25
 
2.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 50
25.0%
R 30
15.0%
S 26
13.0%
P 26
13.0%
B 26
13.0%
M 25
12.5%
Q 5
 
2.5%
V 2
 
1.0%
T 1
 
0.5%
W 1
 
0.5%
Other values (8) 8
 
4.0%
Other Letter
ValueCountFrequency (%)
50
13.3%
50
13.3%
50
13.3%
50
13.3%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
Decimal Number
ValueCountFrequency (%)
3 63
57.8%
4 22
 
20.2%
2 17
 
15.6%
1 7
 
6.4%
Connector Punctuation
ValueCountFrequency (%)
_ 75
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
42.4%
Common 309
35.0%
Latin 200
22.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 50
25.0%
R 30
15.0%
S 26
13.0%
P 26
13.0%
B 26
13.0%
M 25
12.5%
Q 5
 
2.5%
V 2
 
1.0%
T 1
 
0.5%
W 1
 
0.5%
Other values (8) 8
 
4.0%
Hangul
ValueCountFrequency (%)
50
13.3%
50
13.3%
50
13.3%
50
13.3%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
Common
ValueCountFrequency (%)
_ 75
24.3%
75
24.3%
3 63
20.4%
) 25
 
8.1%
( 25
 
8.1%
4 22
 
7.1%
2 17
 
5.5%
1 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 509
57.6%
Hangul 375
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 75
14.7%
75
14.7%
3 63
12.4%
G 50
9.8%
R 30
 
5.9%
S 26
 
5.1%
P 26
 
5.1%
B 26
 
5.1%
) 25
 
4.9%
( 25
 
4.9%
Other values (16) 88
17.3%
Hangul
ValueCountFrequency (%)
50
13.3%
50
13.3%
50
13.3%
50
13.3%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%
25
6.7%

공간정보(geom)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-23T04:17:52.817744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length69
Mean length62.8
Min length59

Characters and Unicode

Total characters1570
Distinct characters10
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

Unique25 ?
Unique (%)100.0%

Sample

1st row 129.3 35.35 129.325 35.35 129.325 35.325 129.3 35.325 129.3 35.35
2nd row 129.325 35.35 129.35 35.35 129.35 35.325 129.325 35.325 129.325 35.35
3rd row 129.35 35.35 129.375 35.35 129.375 35.325 129.35 35.325 129.35 35.35
4th row 129.375 35.35 129.4 35.35 129.4 35.325 129.375 35.325 129.375 35.35
5th row 129.3 35.325 129.325 35.325 129.325 35.3 129.3 35.3 129.3 35.325
ValueCountFrequency (%)
35.3 36
14.4%
35.35 27
10.8%
35.25 22
8.8%
35.325 20
8.0%
129.5 20
8.0%
129.45 18
 
7.2%
129.55 17
 
6.8%
129.35 15
 
6.0%
129.4 15
 
6.0%
35.2 14
 
5.6%
Other values (7) 46
18.4%
2024-03-23T04:17:53.848241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 312
19.9%
3 252
16.1%
250
15.9%
. 250
15.9%
2 196
12.5%
1 129
8.2%
9 125
8.0%
4 33
 
2.1%
7 12
 
0.8%
6 11
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
68.2%
Space Separator 250
 
15.9%
Other Punctuation 250
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 312
29.2%
3 252
23.6%
2 196
18.3%
1 129
12.1%
9 125
11.7%
4 33
 
3.1%
7 12
 
1.1%
6 11
 
1.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Other Punctuation
ValueCountFrequency (%)
. 250
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 312
19.9%
3 252
16.1%
250
15.9%
. 250
15.9%
2 196
12.5%
1 129
8.2%
9 125
8.0%
4 33
 
2.1%
7 12
 
0.8%
6 11
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 312
19.9%
3 252
16.1%
250
15.9%
. 250
15.9%
2 196
12.5%
1 129
8.2%
9 125
8.0%
4 33
 
2.1%
7 12
 
0.8%
6 11
 
0.7%

Interactions

2024-03-23T04:17:47.247933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:17:54.201106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호(gid)레이어분류내용(lyr_cl_cn)공간정보(geom)
일련번호(gid)1.0001.0001.000
레이어분류내용(lyr_cl_cn)1.0001.0001.000
공간정보(geom)1.0001.0001.000

Missing values

2024-03-23T04:17:47.684717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:17:48.225898image/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

일련번호(gid)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)공간정보(geom)
01부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q1)129.3 35.35 129.325 35.35 129.325 35.325 129.3 35.325 129.3 35.35
12부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q2)129.325 35.35 129.35 35.35 129.35 35.325 129.325 35.325 129.325 35.35
23부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R1)129.35 35.35 129.375 35.35 129.375 35.325 129.35 35.325 129.35 35.35
34부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R2)129.375 35.35 129.4 35.35 129.4 35.325 129.375 35.325 129.375 35.35
45부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q3)129.3 35.325 129.325 35.325 129.325 35.3 129.3 35.3 129.3 35.325
56부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_Q4)129.325 35.325 129.35 35.325 129.35 35.3 129.325 35.3 129.325 35.325
67부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R3)129.35 35.325 129.375 35.325 129.375 35.3 129.35 35.3 129.35 35.325
78부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_R4)129.375 35.325 129.4 35.325 129.4 35.3 129.375 35.3 129.375 35.325
89부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR4_G3B32_V2)129.325 35.3 129.35 35.3 129.35 35.275 129.325 35.275 129.325 35.3
910부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B32_S)129.4 35.35 129.45 35.35 129.45 35.3 129.4 35.3 129.4 35.35
일련번호(gid)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)공간정보(geom)
1516부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B32_X)129.4 35.3 129.45 35.3 129.45 35.25 129.4 35.25 129.4 35.3
1617부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B32_Y)129.45 35.3 129.5 35.3 129.5 35.25 129.45 35.25 129.45 35.3
1718부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B41_U)129.5 35.3 129.55 35.3 129.55 35.25 129.5 35.25 129.5 35.3
1819부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B41_V)129.55 35.3 129.6 35.3 129.6 35.25 129.55 35.25 129.55 35.3
1920부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B34_D)129.4 35.25 129.45 35.25 129.45 35.2 129.4 35.2 129.4 35.25
2021부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B34_E)129.45 35.25 129.5 35.25 129.5 35.2 129.45 35.2 129.45 35.25
2122부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B43_A)129.5 35.25 129.55 35.25 129.55 35.2 129.5 35.2 129.5 35.25
2223부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B43_B)129.55 35.25 129.6 35.25 129.6 35.2 129.55 35.2 129.55 35.25
2324부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B34_J)129.45 35.2 129.5 35.2 129.5 35.15 129.45 35.15 129.45 35.2
2425부산울산공동해역해양공간이 수립된 해양공간의 범위(MSP_GR3_G3B43_F)129.5 35.2 129.55 35.2 129.55 35.15 129.5 35.15 129.5 35.2