Overview

Dataset statistics

Number of variables4
Number of observations452
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description사용자는 해양산부에서 제공하는 전남전북 공동해역 데이터를 파일(csv)형식으로 사용 및 활용 할 수 있으며 공간정보를 포함한 정보를 간략하게 제공합니다.
URLhttps://www.data.go.kr/data/15112988/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 started2023-12-12 20:04:31.468287
Analysis finished2023-12-12 20:04:31.754004
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.5
Minimum1
Maximum452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-13T05:04:31.822788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.55
Q1113.75
median226.5
Q3339.25
95-th percentile429.45
Maximum452
Range451
Interquartile range (IQR)225.5

Descriptive statistics

Standard deviation130.62542
Coefficient of variation (CV)0.57671267
Kurtosis-1.2
Mean226.5
Median Absolute Deviation (MAD)113
Skewness0
Sum102378
Variance17063
MonotonicityStrictly increasing
2023-12-13T05:04:31.966102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
285 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
Other values (442) 442
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
452 1
0.2%
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%
447 1
0.2%
446 1
0.2%
445 1
0.2%
444 1
0.2%
443 1
0.2%

레이어명(lyr_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
전남전북공동해역
452 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남전북공동해역 452
100.0%

Length

2023-12-13T05:04:32.096776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:32.186637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남전북공동해역 452
100.0%

레이어분류내용(lyr_cl_cn)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
해양공간계획이 수립된 해양공간의 범위
452 

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 452
100.0%

Length

2023-12-13T05:04:32.269130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:32.347543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해양공간계획이 452
25.0%
수립된 452
25.0%
해양공간의 452
25.0%
범위 452
25.0%

공간정보(geom)
Text

Distinct451
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-13T05:04:32.512537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length34.325221
Min length9

Characters and Unicode

Total characters15515
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

Unique450 ?
Unique (%)99.6%

Sample

1st row125.8 35.53393854850767
2nd row 125.81217969761961 35.56548596201347
3rd row 125.84838704103217 35.665549892900415
4th row 125.85266609070811 35.68398272227428
5th row 125.85134946003856 35.69429632918581
ValueCountFrequency (%)
35.425 10
 
1.1%
35.45 7
 
0.8%
35.55 6
 
0.7%
35.5 5
 
0.6%
35.4 4
 
0.4%
126.15 4
 
0.4%
126.4 4
 
0.4%
35.7 4
 
0.4%
35.625 4
 
0.4%
126 3
 
0.3%
Other values (821) 853
94.4%
2023-12-13T05:04:32.815575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1953
12.6%
2 1731
11.2%
3 1728
11.1%
5 1616
10.4%
6 1466
9.4%
1 1380
8.9%
8 1032
6.7%
7 977
6.3%
9 968
6.2%
903
5.8%
Other values (2) 1761
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13711
88.4%
Space Separator 903
 
5.8%
Other Punctuation 901
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1953
14.2%
2 1731
12.6%
3 1728
12.6%
5 1616
11.8%
6 1466
10.7%
1 1380
10.1%
8 1032
7.5%
7 977
7.1%
9 968
7.1%
0 860
6.3%
Space Separator
ValueCountFrequency (%)
903
100.0%
Other Punctuation
ValueCountFrequency (%)
. 901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1953
12.6%
2 1731
11.2%
3 1728
11.1%
5 1616
10.4%
6 1466
9.4%
1 1380
8.9%
8 1032
6.7%
7 977
6.3%
9 968
6.2%
903
5.8%
Other values (2) 1761
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1953
12.6%
2 1731
11.2%
3 1728
11.1%
5 1616
10.4%
6 1466
9.4%
1 1380
8.9%
8 1032
6.7%
7 977
6.3%
9 968
6.2%
903
5.8%
Other values (2) 1761
11.4%

Interactions

2023-12-13T05:04:31.533533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T05:04:31.638210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:04:31.718023image/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)
01전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.8 35.53393854850767
12전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.81217969761961 35.56548596201347
23전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.84838704103217 35.665549892900415
34전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.85266609070811 35.68398272227428
45전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.85134946003856 35.69429632918581
56전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.85070779707199 35.7
67전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.9 35.7
78전남전북공동해역해양공간계획이 수립된 해양공간의 범위125.95 35.7
89전남전북공동해역해양공간계획이 수립된 해양공간의 범위126 35.7
910전남전북공동해역해양공간계획이 수립된 해양공간의 범위126 35.65
일련번호(gid)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)공간정보(geom)
442443전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.4275255855287 35.44820772960521
443444전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42736898446854 35.44820581336662
444445전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42735244468874 35.44809816507355
445446전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42750875918074 35.44791390822267
446447전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42780807615355 35.44788908507639
447448전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.4282810986679 35.448159917661755
448449전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42823906351421 35.44865600793472
449450전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42808800321208 35.44853426483784
450451전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42807501519587 35.44855782586917
451452전남전북공동해역해양공간계획이 수립된 해양공간의 범위126.42809436208884 35.44864556910325