Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory149.0 B

Variable types

Numeric3
Text1
Categorical12

Dataset

Description객체id,id,비오톱유형,면적,유형분류,자연성등급,서식지기능,비오톱면적,출현빈도,비오톱위치,출현여부,평가a,평가b,개별평가,평가등급,유형평가
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21126/S/1/datasetView.do

Alerts

평가등급 is highly overall correlated with 유형분류 and 10 other fieldsHigh correlation
개별평가 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
객체id is highly overall correlated with id and 7 other fieldsHigh correlation
id is highly overall correlated with 객체id and 11 other fieldsHigh correlation
유형분류 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
자연성등급 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
서식지기능 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
비오톱면적 is highly overall correlated with id and 11 other fieldsHigh correlation
출현빈도 is highly overall correlated with id and 11 other fieldsHigh correlation
비오톱위치 is highly overall correlated with id and 11 other fieldsHigh correlation
출현여부 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
평가a is highly overall correlated with 객체id and 12 other fieldsHigh correlation
평가b is highly overall correlated with id and 11 other fieldsHigh correlation
유형평가 is highly overall correlated with 객체id and 12 other fieldsHigh correlation
면적 is highly skewed (γ1 = 29.56264784)Skewed
객체id has unique valuesUnique
id has unique valuesUnique
면적 has unique valuesUnique

Reproduction

Analysis started2024-05-11 02:41:44.286446
Analysis finished2024-05-11 02:41:50.741589
Duration6.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean884359.79
Minimum872001
Maximum896686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:41:50.881649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum872001
5-th percentile873261.85
Q1878121.5
median884341.5
Q3890586.25
95-th percentile895474.1
Maximum896686
Range24685
Interquartile range (IQR)12464.75

Descriptive statistics

Standard deviation7133.9091
Coefficient of variation (CV)0.0080667498
Kurtosis-1.2070985
Mean884359.79
Median Absolute Deviation (MAD)6236
Skewness0.0024664079
Sum8.8435979 × 109
Variance50892660
MonotonicityNot monotonic
2024-05-11T02:41:51.142740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
878908 1
 
< 0.1%
884117 1
 
< 0.1%
893821 1
 
< 0.1%
875321 1
 
< 0.1%
885891 1
 
< 0.1%
885685 1
 
< 0.1%
882758 1
 
< 0.1%
884134 1
 
< 0.1%
877565 1
 
< 0.1%
894729 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
872001 1
< 0.1%
872004 1
< 0.1%
872012 1
< 0.1%
872015 1
< 0.1%
872017 1
< 0.1%
872024 1
< 0.1%
872025 1
< 0.1%
872026 1
< 0.1%
872027 1
< 0.1%
872029 1
< 0.1%
ValueCountFrequency (%)
896686 1
< 0.1%
896685 1
< 0.1%
896683 1
< 0.1%
896682 1
< 0.1%
896679 1
< 0.1%
896677 1
< 0.1%
896676 1
< 0.1%
896671 1
< 0.1%
896669 1
< 0.1%
896668 1
< 0.1%

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12355.346
Minimum3
Maximum24760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:41:51.453286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1275.75
Q16218.25
median12389.5
Q318552.25
95-th percentile23473.05
Maximum24760
Range24757
Interquartile range (IQR)12334

Descriptive statistics

Standard deviation7133.043
Coefficient of variation (CV)0.57732441
Kurtosis-1.2047596
Mean12355.346
Median Absolute Deviation (MAD)6165
Skewness0.0013343584
Sum1.2355346 × 108
Variance50880302
MonotonicityNot monotonic
2024-05-11T02:41:51.725268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6601 1
 
< 0.1%
10374 1
 
< 0.1%
21377 1
 
< 0.1%
4748 1
 
< 0.1%
15838 1
 
< 0.1%
12474 1
 
< 0.1%
10826 1
 
< 0.1%
10578 1
 
< 0.1%
5262 1
 
< 0.1%
21329 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
9 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
33 1
< 0.1%
35 1
< 0.1%
39 1
< 0.1%
ValueCountFrequency (%)
24760 1
< 0.1%
24758 1
< 0.1%
24757 1
< 0.1%
24751 1
< 0.1%
24750 1
< 0.1%
24748 1
< 0.1%
24746 1
< 0.1%
24745 1
< 0.1%
24743 1
< 0.1%
24742 1
< 0.1%

비오톱유형
Text

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:41:52.063802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.1155
Min length2

Characters and Unicode

Total characters21155
Distinct characters19
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowB4
2nd rowC1
3rd rowA1
4th rowE2
5th rowH1
ValueCountFrequency (%)
e1 1105
 
11.1%
h1 822
 
8.2%
b1 756
 
7.6%
b4 568
 
5.7%
h2 547
 
5.5%
h4 517
 
5.2%
c12 449
 
4.5%
g2 382
 
3.8%
a7 369
 
3.7%
c13 354
 
3.5%
Other values (58) 4131
41.3%
2024-05-11T02:41:52.670410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4572
21.6%
H 2900
13.7%
2 1835
8.7%
B 1564
 
7.4%
4 1561
 
7.4%
E 1493
 
7.1%
A 1457
 
6.9%
C 1217
 
5.8%
3 1185
 
5.6%
7 726
 
3.4%
Other values (9) 2645
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11155
52.7%
Uppercase Letter 10000
47.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4572
41.0%
2 1835
16.5%
4 1561
 
14.0%
3 1185
 
10.6%
7 726
 
6.5%
9 394
 
3.5%
5 369
 
3.3%
6 255
 
2.3%
8 152
 
1.4%
0 106
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 2900
29.0%
B 1564
15.6%
E 1493
14.9%
A 1457
14.6%
C 1217
12.2%
F 565
 
5.7%
G 545
 
5.5%
D 188
 
1.9%
I 71
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 11155
52.7%
Latin 10000
47.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4572
41.0%
2 1835
16.5%
4 1561
 
14.0%
3 1185
 
10.6%
7 726
 
6.5%
9 394
 
3.5%
5 369
 
3.3%
6 255
 
2.3%
8 152
 
1.4%
0 106
 
1.0%
Latin
ValueCountFrequency (%)
H 2900
29.0%
B 1564
15.6%
E 1493
14.9%
A 1457
14.6%
C 1217
12.2%
F 565
 
5.7%
G 545
 
5.5%
D 188
 
1.9%
I 71
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4572
21.6%
H 2900
13.7%
2 1835
8.7%
B 1564
 
7.4%
4 1561
 
7.4%
E 1493
 
7.1%
A 1457
 
6.9%
C 1217
 
5.8%
3 1185
 
5.6%
7 726
 
3.4%
Other values (9) 2645
12.5%

면적
Real number (ℝ)

SKEWED  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22240.203
Minimum0.63103
Maximum5875768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:41:52.974512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.63103
5-th percentile553.81045
Q11984.8674
median5801.6445
Q316649.781
95-th percentile80773.924
Maximum5875768
Range5875767.3
Interquartile range (IQR)14664.914

Descriptive statistics

Standard deviation104774.29
Coefficient of variation (CV)4.711031
Kurtosis1268.1203
Mean22240.203
Median Absolute Deviation (MAD)4679.9387
Skewness29.562648
Sum2.2240203 × 108
Variance1.0977651 × 1010
MonotonicityNot monotonic
2024-05-11T02:41:53.570465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8836.8028 1
 
< 0.1%
25834.29272 1
 
< 0.1%
788.99216 1
 
< 0.1%
7043.4037 1
 
< 0.1%
956.03083 1
 
< 0.1%
7134.99621 1
 
< 0.1%
5477.35292 1
 
< 0.1%
1429.40235 1
 
< 0.1%
113112.9665 1
 
< 0.1%
574.32945 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
0.63103 1
< 0.1%
1.1576 1
< 0.1%
1.94651 1
< 0.1%
5.14983 1
< 0.1%
11.75129 1
< 0.1%
12.76617 1
< 0.1%
14.40184 1
< 0.1%
15.63195 1
< 0.1%
16.5881 1
< 0.1%
20.25201 1
< 0.1%
ValueCountFrequency (%)
5875767.96587 1
< 0.1%
3355485.9469 1
< 0.1%
3052475.7202 1
< 0.1%
2861801.7183 1
< 0.1%
2081261.99423 1
< 0.1%
2078686.45237 1
< 0.1%
2076239.40094 1
< 0.1%
1828334.3587 1
< 0.1%
1615279.54902 1
< 0.1%
1151100.64642 1
< 0.1%

유형분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4740 
2
3908 
1
1196 
4
 
156

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
3 4740
47.4%
2 3908
39.1%
1 1196
 
12.0%
4 156
 
1.6%

Length

2024-05-11T02:41:53.943863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:54.140988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4740
47.4%
2 3908
39.1%
1 1196
 
12.0%
4 156
 
1.6%

자연성등급
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
2
2663 
3
2342 
1
 
100

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row3
5th row2

Common Values

ValueCountFrequency (%)
0 4895
48.9%
2 2663
26.6%
3 2342
23.4%
1 100
 
1.0%

Length

2024-05-11T02:41:54.523867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:54.843190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
2 2663
26.6%
3 2342
23.4%
1 100
 
1.0%

서식지기능
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
2
2697 
3
1337 
1
1071 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 4895
48.9%
2 2697
27.0%
3 1337
 
13.4%
1 1071
 
10.7%

Length

2024-05-11T02:41:55.270488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:55.560452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
2 2697
27.0%
3 1337
 
13.4%
1 1071
 
10.7%

비오톱면적
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
3
4874 
2
 
218
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row3
5th row3

Common Values

ValueCountFrequency (%)
0 4895
48.9%
3 4874
48.7%
2 218
 
2.2%
1 13
 
0.1%

Length

2024-05-11T02:41:55.947358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:56.272748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
3 4874
48.7%
2 218
 
2.2%
1 13
 
0.1%

출현빈도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
3
4814 
2
 
151
1
 
140

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row3
5th row3

Common Values

ValueCountFrequency (%)
0 4895
48.9%
3 4814
48.1%
2 151
 
1.5%
1 140
 
1.4%

Length

2024-05-11T02:41:56.638613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:57.001894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
3 4814
48.1%
2 151
 
1.5%
1 140
 
1.4%

비오톱위치
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
1
3082 
3
1360 
2
663 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
0 4895
48.9%
1 3082
30.8%
3 1360
 
13.6%
2 663
 
6.6%

Length

2024-05-11T02:41:57.366731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:57.689538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
1 3082
30.8%
3 1360
 
13.6%
2 663
 
6.6%

출현여부
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
1
4411 
2
503 
3
 
191

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
0 4895
48.9%
1 4411
44.1%
2 503
 
5.0%
3 191
 
1.9%

Length

2024-05-11T02:41:58.080279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:58.403719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
1 4411
44.1%
2 503
 
5.0%
3 191
 
1.9%

평가a
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
3
2244 
2
1823 
1
1038 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row3
5th row2

Common Values

ValueCountFrequency (%)
0 4895
48.9%
3 2244
22.4%
2 1823
 
18.2%
1 1038
 
10.4%

Length

2024-05-11T02:41:58.762648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:59.106318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
3 2244
22.4%
2 1823
 
18.2%
1 1038
 
10.4%

평가b
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4895 
2
3533 
3
1345 
1
 
227

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row3

Common Values

ValueCountFrequency (%)
0 4895
48.9%
2 3533
35.3%
3 1345
 
13.5%
1 227
 
2.3%

Length

2024-05-11T02:41:59.325535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:41:59.539709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4895
48.9%
2 3533
35.3%
3 1345
 
13.5%
1 227
 
2.3%

개별평가
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
30
4714 
2
3361 
1
958 
3
786 
21
 
181

Length

Max length2
Median length1
Mean length1.4895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row2
5th row2

Common Values

ValueCountFrequency (%)
30 4714
47.1%
2 3361
33.6%
1 958
 
9.6%
3 786
 
7.9%
21 181
 
1.8%

Length

2024-05-11T02:41:59.834503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:42:00.114260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 4714
47.1%
2 3361
33.6%
1 958
 
9.6%
3 786
 
7.9%
21 181
 
1.8%

평가등급
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평가제외
4714 
2등급
3361 
1등급
958 
3등급
786 
하천
 
158

Length

Max length4
Median length3
Mean length3.4533
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평가제외
2nd row평가제외
3rd row평가제외
4th row2등급
5th row2등급

Common Values

ValueCountFrequency (%)
평가제외 4714
47.1%
2등급 3361
33.6%
1등급 958
 
9.6%
3등급 786
 
7.9%
하천 158
 
1.6%
도로 23
 
0.2%

Length

2024-05-11T02:42:00.346238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:42:00.671182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평가제외 4714
47.1%
2등급 3361
33.6%
1등급 958
 
9.6%
3등급 786
 
7.9%
하천 158
 
1.6%
도로 23
 
0.2%

유형평가
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1등급
2774 
4등급
2309 
2등급
2234 
3등급
1631 
5등급
1052 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5등급
2nd row4등급
3rd row5등급
4th row2등급
5th row1등급

Common Values

ValueCountFrequency (%)
1등급 2774
27.7%
4등급 2309
23.1%
2등급 2234
22.3%
3등급 1631
16.3%
5등급 1052
 
10.5%

Length

2024-05-11T02:42:01.052573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:42:01.372045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 2774
27.7%
4등급 2309
23.1%
2등급 2234
22.3%
3등급 1631
16.3%
5등급 1052
 
10.5%

Interactions

2024-05-11T02:41:49.032524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:47.453866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:48.246347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:49.294243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:47.706632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:48.503219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:49.529616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:47.969194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:41:48.761944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:42:01.556634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체idid비오톱유형면적유형분류자연성등급서식지기능비오톱면적출현빈도비오톱위치출현여부평가a평가b개별평가평가등급유형평가
객체id1.0000.9630.9470.0250.7420.7910.7240.6730.6770.6970.7050.7830.6940.8380.6860.911
id0.9631.0000.9910.0190.7810.8360.7950.6980.7040.7280.7520.8280.7240.8670.7210.950
비오톱유형0.9470.9911.0000.5381.0000.9880.9600.8530.9020.8900.8970.9740.9120.9570.9741.000
면적0.0250.0190.5381.0000.0880.0520.0000.3670.0000.0000.0250.0140.0000.1140.1160.038
유형분류0.7420.7811.0000.0881.0000.9200.9010.8960.8950.8970.8960.9190.8970.6740.7660.689
자연성등급0.7910.8360.9880.0520.9201.0000.9200.9030.8990.9040.9130.9810.9040.7350.8220.827
서식지기능0.7240.7950.9600.0000.9010.9201.0000.9010.8980.9020.9200.9760.9010.7900.8740.684
비오톱면적0.6730.6980.8530.3670.8960.9030.9011.0000.8950.8970.9020.9030.8960.6600.7530.640
출현빈도0.6770.7040.9020.0000.8950.8990.8980.8951.0000.8950.8950.8970.9740.6520.7450.640
비오톱위치0.6970.7280.8900.0000.8970.9040.9020.8970.8951.0000.8980.9060.9750.7660.8510.653
출현여부0.7050.7520.8970.0250.8960.9130.9200.9020.8950.8981.0000.9240.8960.6790.7700.668
평가a0.7830.8280.9740.0140.9190.9810.9760.9030.8970.9060.9241.0000.9030.8390.9220.819
평가b0.6940.7240.9120.0000.8970.9040.9010.8960.9740.9750.8960.9031.0000.7650.8500.649
개별평가0.8380.8670.9570.1140.6740.7350.7900.6600.6520.7660.6790.8390.7651.0001.0000.906
평가등급0.6860.7210.9740.1160.7660.8220.8740.7530.7450.8510.7700.9220.8501.0001.0000.717
유형평가0.9110.9501.0000.0380.6890.8270.6840.6400.6400.6530.6680.8190.6490.9060.7171.000
2024-05-11T02:42:01.886483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급비오톱위치자연성등급유형평가출현빈도유형분류평가a개별평가평가b비오톱면적서식지기능출현여부
평가등급1.0000.7160.6770.5840.5820.6060.8131.0000.7150.5910.7460.612
비오톱위치0.7161.0000.5940.5840.5780.5820.5980.7160.7870.5800.5900.582
자연성등급0.6770.5941.0000.7970.5850.6270.8140.6780.5940.5920.6270.611
유형평가0.5840.5840.7971.0000.5690.6230.7860.5790.5790.5700.6170.600
출현빈도0.5820.5780.5850.5691.0000.5780.5810.5820.7810.5780.5830.578
유형분류0.6060.5820.6270.6230.5781.0000.6230.6060.5810.5780.5880.579
평가a0.8130.5980.8140.7860.5810.6231.0000.8130.5920.5910.7880.636
개별평가1.0000.7160.6780.5790.5820.6060.8131.0000.7150.5910.7460.612
평가b0.7150.7870.5940.5790.7810.5810.5920.7151.0000.5800.5880.578
비오톱면적0.5910.5800.5920.5700.5780.5780.5910.5910.5801.0000.5890.590
서식지기능0.7460.5900.6270.6170.5830.5880.7880.7460.5880.5891.0000.627
출현여부0.6120.5820.6110.6000.5780.5790.6360.6120.5780.5900.6271.000
2024-05-11T02:42:02.166275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체idid면적유형분류자연성등급서식지기능비오톱면적출현빈도비오톱위치출현여부평가a평가b개별평가평가등급유형평가
객체id1.0000.960-0.3650.5490.6110.5280.4730.4770.4990.5070.6000.4960.5000.4490.608
id0.9601.000-0.3860.5980.6750.6160.5000.5060.5340.5620.6640.5280.5380.4870.694
면적-0.365-0.3861.0000.0610.0360.0000.2600.0000.0000.0170.0100.0000.0730.0690.024
유형분류0.5490.5980.0611.0000.6270.5880.5780.5780.5820.5790.6230.5810.6060.6060.623
자연성등급0.6110.6750.0360.6271.0000.6270.5920.5850.5940.6110.8140.5940.6780.6770.797
서식지기능0.5280.6160.0000.5880.6271.0000.5890.5830.5900.6270.7880.5880.7460.7460.617
비오톱면적0.4730.5000.2600.5780.5920.5891.0000.5780.5800.5900.5910.5800.5910.5910.570
출현빈도0.4770.5060.0000.5780.5850.5830.5781.0000.5780.5780.5810.7810.5820.5820.569
비오톱위치0.4990.5340.0000.5820.5940.5900.5800.5781.0000.5820.5980.7870.7160.7160.584
출현여부0.5070.5620.0170.5790.6110.6270.5900.5780.5821.0000.6360.5780.6120.6120.600
평가a0.6000.6640.0100.6230.8140.7880.5910.5810.5980.6361.0000.5920.8130.8130.786
평가b0.4960.5280.0000.5810.5940.5880.5800.7810.7870.5780.5921.0000.7150.7150.579
개별평가0.5000.5380.0730.6060.6780.7460.5910.5820.7160.6120.8130.7151.0001.0000.579
평가등급0.4490.4870.0690.6060.6770.7460.5910.5820.7160.6120.8130.7151.0001.0000.584
유형평가0.6080.6940.0240.6230.7970.6170.5700.5690.5840.6000.7860.5790.5790.5841.000

Missing values

2024-05-11T02:41:49.929996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:41:50.566161image/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

객체idid비오톱유형면적유형분류자연성등급서식지기능비오톱면적출현빈도비오톱위치출현여부평가a평가b개별평가평가등급유형평가
177808789086601B48836.802830000000030평가제외5등급
153988812907534C119440.3328530000000030평가제외4등급
23892872796871A11687.1941230000000030평가제외5등급
1269088399813598E210055.2103623233113222등급2등급
717688951218040H11748.52422233222322등급1등급
145989522923609H7267.7587522333112222등급1등급
824788844116541G223510.3983823333213222등급2등급
144218822678952C139177.5484730000000030평가제외3등급
989288679614821F124656.6054330000000021하천3등급
205838761052937A896604.9944230000000030평가제외3등급
객체idid비오톱유형면적유형분류자연성등급서식지기능비오톱면적출현빈도비오톱위치출현여부평가a평가b개별평가평가등급유형평가
179838787055811B38779.3752330000000030평가제외3등급
22344874344134A152616.2008730000000030평가제외5등급
576089092818934H1172160.7897122123121211등급1등급
1158688510213467E11103.9625723233313333등급2등급
449189219719889H21095.3798822233112222등급1등급
214488752405597B22724.9800430000000030평가제외4등급
1625688043210109C16906.5909340000000030평가제외3등급
321789347119025H13945.5032622233122222등급1등급
405189263721669H42144.0404412233112222등급1등급
844988823916523G2212202.1041623323113222등급2등급