Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory990.0 B
Average record size in memory38.1 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description사용자는 해양산부에서 제공하는 부산경남 공동해역 데이터를 파일(csv)형식으로 사용 및 활용 할 수 있으며 공간정보를 포함한 정보를 간략하게 제공합니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15112983/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-23 05:40:40.387684
Analysis finished2024-03-23 05:40:41.189477
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-23T14:40:41.486744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-03-23T14:40:41.812787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

레이어명(lyr_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
부산경남공동해역
26 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산경남공동해역 26
100.0%

Length

2024-03-23T14:40:42.150090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:40:42.330921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산경남공동해역 26
100.0%

레이어분류내용(lyr_cl_cn)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
해양공간계획이 수립된 해양공간의 범위
26 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해양공간계획이 수립된 해양공간의 범위
2nd row해양공간계획이 수립된 해양공간의 범위
3rd row해양공간계획이 수립된 해양공간의 범위
4th row해양공간계획이 수립된 해양공간의 범위
5th row해양공간계획이 수립된 해양공간의 범위

Common Values

ValueCountFrequency (%)
해양공간계획이 수립된 해양공간의 범위 26
100.0%

Length

2024-03-23T14:40:42.556586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:40:43.081131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해양공간계획이 26
25.0%
수립된 26
25.0%
해양공간의 26
25.0%
범위 26
25.0%

공간정보(geom)
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T14:40:43.367269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37.5
Mean length36.846154
Min length35

Characters and Unicode

Total characters958
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

Unique23 ?
Unique (%)88.5%

Sample

1st row128.79999999990068 34.74999999989906
2nd row 128.84999999980076 34.74999999989905
3rd row 128.84999999980076 34.69999999999898
4th row 128.84999999980076 34.65000000009892
5th row 128.79999999990068 34.65000000009892
ValueCountFrequency (%)
128.79999999990068 14
26.9%
128.7500000000005 8
15.4%
34.74999999989906 4
 
7.7%
128.84999999980076 3
 
5.8%
34.849999999699264 2
 
3.8%
35.0500000001989 2
 
3.8%
35.10000000009896 2
 
3.8%
35.000000000298826 2
 
3.8%
34.89999999959933 2
 
3.8%
34.74999999989905 2
 
3.8%
Other values (10) 11
21.2%
2024-03-23T14:40:44.058530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 320
33.4%
0 213
22.2%
8 71
 
7.4%
. 52
 
5.4%
51
 
5.3%
7 39
 
4.1%
5 38
 
4.0%
2 37
 
3.9%
4 36
 
3.8%
1 35
 
3.7%
Other values (2) 66
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
89.2%
Other Punctuation 52
 
5.4%
Space Separator 51
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 320
37.4%
0 213
24.9%
8 71
 
8.3%
7 39
 
4.6%
5 38
 
4.4%
2 37
 
4.3%
4 36
 
4.2%
1 35
 
4.1%
6 34
 
4.0%
3 32
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 52
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 320
33.4%
0 213
22.2%
8 71
 
7.4%
. 52
 
5.4%
51
 
5.3%
7 39
 
4.1%
5 38
 
4.0%
2 37
 
3.9%
4 36
 
3.8%
1 35
 
3.7%
Other values (2) 66
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 320
33.4%
0 213
22.2%
8 71
 
7.4%
. 52
 
5.4%
51
 
5.3%
7 39
 
4.1%
5 38
 
4.0%
2 37
 
3.9%
4 36
 
3.8%
1 35
 
3.7%
Other values (2) 66
 
6.9%

Interactions

2024-03-23T14:40:40.545642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:40:44.223403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호(gid)공간정보(geom)
일련번호(gid)1.0000.950
공간정보(geom)0.9501.000

Missing values

2024-03-23T14:40:40.822062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:40:41.072521image/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)
01부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.74999999989906
12부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.84999999980076 34.74999999989905
23부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.84999999980076 34.69999999999898
34부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.84999999980076 34.65000000009892
45부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.65000000009892
56부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.699999999998994
67부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.74999999989906
78부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.74999999989906
89부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.7500000000005 34.74999999989905
910부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.7500000000005 34.79999999979921
일련번호(gid)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)공간정보(geom)
1617부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.7500000000005 35.14999999999914
1718부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 35.149999999999125
1819부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 35.10000000009896
1920부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 35.0500000001989
2021부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 35.000000000298826
2122부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.95000000039876
2223부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.89999999959933
2324부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.849999999699264
2425부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.799999999799205
2526부산경남공동해역해양공간계획이 수립된 해양공간의 범위128.79999999990068 34.74999999989906