Overview

Dataset statistics

Number of variables4
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory34.6 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description사용자는 해양산부에서 제공하는 전남경남 공동해역 데이터를 파일(csv)형식으로 사용 및 활용 할 수 있으며 공간정보를 포함한 정보를 간략하게 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15112987/fileData.do

Alerts

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

Reproduction

Analysis started2024-04-17 11:02:07.870536
Analysis finished2024-04-17 11:02:08.329905
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2024-04-17T20:02:08.385747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q121.5
median42
Q362.5
95-th percentile78.9
Maximum83
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.103942
Coefficient of variation (CV)0.57390337
Kurtosis-1.2
Mean42
Median Absolute Deviation (MAD)21
Skewness0
Sum3486
Variance581
MonotonicityStrictly increasing
2024-04-17T20:02:08.482491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
54 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
Other values (73) 73
88.0%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%

레이어명(lyr_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
전남경남공동해역
83 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남경남공동해역 83
100.0%

Length

2024-04-17T20:02:08.573145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:02:08.642772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남경남공동해역 83
100.0%

레이어분류내용(lyr_cl_cn)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
해양공간계획이 수립된 해양공간의 범위
83 

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 83
100.0%

Length

2024-04-17T20:02:08.726834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:02:08.795762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해양공간계획이 83
25.0%
수립된 83
25.0%
해양공간의 83
25.0%
범위 83
25.0%

공간정보(geom)
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2024-04-17T20:02:08.940691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length36.915663
Min length35

Characters and Unicode

Total characters3064
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

Unique83 ?
Unique (%)100.0%

Sample

1st row127.8000000003368 34.774999999764994
2nd row 127.80000000005144 34.749999999378694
3rd row 127.82500000002294 34.749999999337476
4th row 127.8499999999897 34.749999999982734
5th row 127.84999999996958 34.72499999943722
ValueCountFrequency (%)
127.8000000003368 2
 
1.2%
34.774999999764994 2
 
1.2%
34.72499999967553 1
 
0.6%
34.649999999876556 1
 
0.6%
127.80000000079782 1
 
0.6%
34.57499999957013 1
 
0.6%
127.80000000001249 1
 
0.6%
34.60000000011998 1
 
0.6%
127.80000000082711 1
 
0.6%
34.62499999932916 1
 
0.6%
Other values (154) 154
92.8%
2024-04-17T20:02:09.216147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 718
23.4%
0 674
22.0%
4 230
 
7.5%
7 198
 
6.5%
2 184
 
6.0%
3 184
 
6.0%
. 166
 
5.4%
165
 
5.4%
1 160
 
5.2%
8 148
 
4.8%
Other values (2) 237
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2733
89.2%
Other Punctuation 166
 
5.4%
Space Separator 165
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 718
26.3%
0 674
24.7%
4 230
 
8.4%
7 198
 
7.2%
2 184
 
6.7%
3 184
 
6.7%
1 160
 
5.9%
8 148
 
5.4%
5 140
 
5.1%
6 97
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 166
100.0%
Space Separator
ValueCountFrequency (%)
165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 718
23.4%
0 674
22.0%
4 230
 
7.5%
7 198
 
6.5%
2 184
 
6.0%
3 184
 
6.0%
. 166
 
5.4%
165
 
5.4%
1 160
 
5.2%
8 148
 
4.8%
Other values (2) 237
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 718
23.4%
0 674
22.0%
4 230
 
7.5%
7 198
 
6.5%
2 184
 
6.0%
3 184
 
6.0%
. 166
 
5.4%
165
 
5.4%
1 160
 
5.2%
8 148
 
4.8%
Other values (2) 237
 
7.7%

Interactions

2024-04-17T20:02:07.945760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T20:02:09.294434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호(gid)공간정보(geom)
일련번호(gid)1.0001.000
공간정보(geom)1.0001.000

Missing values

2024-04-17T20:02:08.239968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:02:08.302120image/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)
01전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8000000003368 34.774999999764994
12전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.80000000005144 34.749999999378694
23전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.82500000002294 34.749999999337476
34전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8499999999897 34.749999999982734
45전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.84999999996958 34.72499999943722
56전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8500000000949 34.7000000001892
67전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.87500000062307 34.699999999853475
78전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.90000000092785 34.699999999883815
89전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.92500000040752 34.69999999933404
910전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.95000000065761 34.699999999952624
일련번호(gid)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)공간정보(geom)
7374전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.80000000027421 34.99999999944705
7475전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.80000000027891 34.97500000004516
7576전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8000000005464 34.949999999697084
7677전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8000000000018 34.92499999934073
7778전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.80000000085492 34.89999999990595
7879전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.80000000092645 34.87499999962829
7980전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8000000002372 34.84999999944315
8081전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.7999999998982 34.824999999381674
8182전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.79999999992592 34.79999999947762
8283전남경남공동해역해양공간계획이 수립된 해양공간의 범위127.8000000003368 34.774999999764994