Overview

Dataset statistics

Number of variables4
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory35.0 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description해양수산 관련하여 해양용도구역 최초 고시인 부산용도구역에 대한 데이터로 어업활동보호구역 정보를 파일 형태로 사용자는 확인 할 수 있다.
URLhttps://www.data.go.kr/data/15113945/fileData.do

Alerts

공간정보일련번호(gid) has unique valuesUnique
용도구역면적(ua_ar) has 43 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-12 05:32:29.554236
Analysis finished2023-12-12 05:32:30.384823
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.744186
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T14:32:30.485409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q135
median68
Q3101
95-th percentile126.6
Maximum133
Range132
Interquartile range (IQR)66

Descriptive statistics

Standard deviation38.653161
Coefficient of variation (CV)0.57057533
Kurtosis-1.2067841
Mean67.744186
Median Absolute Deviation (MAD)33
Skewness-0.026857886
Sum8739
Variance1494.0669
MonotonicityNot monotonic
2023-12-12T14:32:30.685715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
96 1
 
0.8%
114 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
133 1
0.8%
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%

용도구역아이디(ua_id)
Text

Distinct127
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:32:31.020681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters2709
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)96.9%

Sample

1st rowFH350434N1290534E2020
2nd rowFH350435N1290541E2020
3rd rowFH350434N1290534E2020
4th rowFH350434N1290458E2020
5th rowFH350428N1290529E2020
ValueCountFrequency (%)
fh350434n1290534e2020 2
 
1.6%
fh350216n1285860e2020 2
 
1.6%
fh350212n1285855e2082 1
 
0.8%
fh350228n1285717e2084 1
 
0.8%
fh344820n1284610e2054 1
 
0.8%
fh344509n1290000e2053 1
 
0.8%
fh350154n1285323e2047 1
 
0.8%
fh350157n1285159e2046 1
 
0.8%
fh350153n1285402e2045 1
 
0.8%
fh350141n1285158e2044 1
 
0.8%
Other values (117) 117
90.7%
2023-12-12T14:32:31.469824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 441
16.3%
0 384
14.2%
5 327
12.1%
1 251
9.3%
3 230
8.5%
8 180
6.6%
4 167
 
6.2%
F 129
 
4.8%
H 129
 
4.8%
N 129
 
4.8%
Other values (4) 342
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2193
81.0%
Uppercase Letter 516
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 441
20.1%
0 384
17.5%
5 327
14.9%
1 251
11.4%
3 230
10.5%
8 180
8.2%
4 167
 
7.6%
9 96
 
4.4%
6 60
 
2.7%
7 57
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
F 129
25.0%
H 129
25.0%
N 129
25.0%
E 129
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2193
81.0%
Latin 516
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 441
20.1%
0 384
17.5%
5 327
14.9%
1 251
11.4%
3 230
10.5%
8 180
8.2%
4 167
 
7.6%
9 96
 
4.4%
6 60
 
2.7%
7 57
 
2.6%
Latin
ValueCountFrequency (%)
F 129
25.0%
H 129
25.0%
N 129
25.0%
E 129
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 441
16.3%
0 384
14.2%
5 327
12.1%
1 251
9.3%
3 230
8.5%
8 180
6.6%
4 167
 
6.2%
F 129
 
4.8%
H 129
 
4.8%
N 129
 
4.8%
Other values (4) 342
12.6%

용도구역면적(ua_ar)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7337984
Minimum0
Maximum51.27
Zeros43
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T14:32:31.687240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.12
Q30.56
95-th percentile28.766
Maximum51.27
Range51.27
Interquartile range (IQR)0.56

Descriptive statistics

Standard deviation10.258216
Coefficient of variation (CV)2.7473942
Kurtosis10.880209
Mean3.7337984
Median Absolute Deviation (MAD)0.12
Skewness3.3573853
Sum481.66
Variance105.231
MonotonicityNot monotonic
2023-12-12T14:32:31.869251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
33.3%
0.12 5
 
3.9%
0.64 4
 
3.1%
0.14 4
 
3.1%
0.11 3
 
2.3%
0.07 3
 
2.3%
0.09 3
 
2.3%
0.19 3
 
2.3%
0.18 3
 
2.3%
0.01 2
 
1.6%
Other values (48) 56
43.4%
ValueCountFrequency (%)
0.0 43
33.3%
0.01 2
 
1.6%
0.02 1
 
0.8%
0.04 2
 
1.6%
0.05 1
 
0.8%
0.06 2
 
1.6%
0.07 3
 
2.3%
0.08 2
 
1.6%
0.09 3
 
2.3%
0.1 2
 
1.6%
ValueCountFrequency (%)
51.27 1
0.8%
49.76 1
0.8%
46.74 1
0.8%
44.82 1
0.8%
37.49 1
0.8%
32.61 1
0.8%
29.75 1
0.8%
27.29 1
0.8%
21.39 1
0.8%
20.8 1
0.8%

용도구역상세정보(ua_dt_dc)
Categorical

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
어업특성구역(3등급이상)
47 
양식장
34 
어업특성구역(3등급이상) 양식장
32 
어항
15 
어업특성구역 어항 양식장
 
1

Length

Max length18
Median length15
Mean length10.341085
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row어업특성구역(3등급이상)
2nd row어업특성구역(3등급이상)
3rd row어업특성구역(3등급이상) 양식장
4th row어업특성구역(3등급이상) 양식장
5th row어업특성구역(3등급이상) 양식장

Common Values

ValueCountFrequency (%)
어업특성구역(3등급이상) 47
36.4%
양식장 34
26.4%
어업특성구역(3등급이상) 양식장 32
24.8%
어항 15
 
11.6%
어업특성구역 어항 양식장 1
 
0.8%

Length

2023-12-12T14:32:32.020850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:32:32.147308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어업특성구역(3등급이상 79
48.5%
양식장 67
41.1%
어항 16
 
9.8%
어업특성구역 1
 
0.6%

Interactions

2023-12-12T14:32:29.951384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:32:29.681653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:32:30.070114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:32:29.777190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:32:32.251886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보일련번호(gid)용도구역면적(ua_ar)용도구역상세정보(ua_dt_dc)
공간정보일련번호(gid)1.0000.3750.756
용도구역면적(ua_ar)0.3751.0000.000
용도구역상세정보(ua_dt_dc)0.7560.0001.000
2023-12-12T14:32:32.384400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보일련번호(gid)용도구역면적(ua_ar)용도구역상세정보(ua_dt_dc)
공간정보일련번호(gid)1.0000.2090.402
용도구역면적(ua_ar)0.2091.0000.000
용도구역상세정보(ua_dt_dc)0.4020.0001.000

Missing values

2023-12-12T14:32:30.216811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:32:30.331918image/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

공간정보일련번호(gid)용도구역아이디(ua_id)용도구역면적(ua_ar)용도구역상세정보(ua_dt_dc)
01FH350434N1290534E20200.0어업특성구역(3등급이상)
12FH350435N1290541E20200.0어업특성구역(3등급이상)
23FH350434N1290534E20200.0어업특성구역(3등급이상) 양식장
34FH350434N1290458E20200.02어업특성구역(3등급이상) 양식장
45FH350428N1290529E20200.0어업특성구역(3등급이상) 양식장
56FH350427N1290528E20200.0어업특성구역(3등급이상) 양식장
616FH351004N1291149E20200.0어업특성구역(3등급이상) 양식장
77FH350426N1285031E20200.07어항
88FH350431N1290531E20200.0어업특성구역(3등급이상) 양식장
99FH350514N1284652E20200.1양식장
공간정보일련번호(gid)용도구역아이디(ua_id)용도구역면적(ua_ar)용도구역상세정보(ua_dt_dc)
119110FH345849N1285949E20690.0어업특성구역(3등급이상)
120111FH345849N1285950E20700.0어업특성구역(3등급이상)
121112FH345849N1285946E20710.0어업특성구역(3등급이상)
122113FH345849N1285948E20720.0어업특성구역(3등급이상)
123127FH343000N1285458E20868.39어업특성구역(3등급이상)
124128FH343033N1285115E20874.76어업특성구역(3등급이상)
125130FH350240N1285940E20890.14어업특성구역(3등급이상) 양식장
126131FH350046N1284926E20900.36어항
127132FH345838N1284510E20910.28양식장
128133FH342248N1285252E209251.27어업특성구역(3등급이상)