Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory176.0 B

Variable types

Numeric4
Text1
Categorical14

Dataset

Description객체id,비오톱유형,면적,유형분류,주요서식지,일반서식지,지형특성,유형가치,층위구조,서식잠재성,면적희귀도,유형면적,유형희귀도,평가a,평가b,유형평가,평가등급,고유번호,유형범례
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21145/S/1/datasetView.do

Alerts

면적희귀도 is highly overall correlated with 유형평가 and 11 other fieldsHigh correlation
주요서식지 is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
평가등급 is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
유형가치 is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
유형면적 is highly overall correlated with 유형평가 and 11 other fieldsHigh correlation
평가b is highly overall correlated with 유형평가 and 13 other fieldsHigh correlation
층위구조 is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
유형평가 is highly overall correlated with 고유번호 and 14 other fieldsHigh correlation
고유번호 is highly overall correlated with 유형평가 and 11 other fieldsHigh correlation
유형분류 is highly overall correlated with 유형평가 and 8 other fieldsHigh correlation
일반서식지 is highly overall correlated with 유형평가 and 13 other fieldsHigh correlation
지형특성 is highly overall correlated with 유형평가 and 13 other fieldsHigh correlation
서식잠재성 is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
유형희귀도 is highly overall correlated with 유형평가 and 11 other fieldsHigh correlation
평가a is highly overall correlated with 유형평가 and 14 other fieldsHigh correlation
유형범례 is highly overall correlated with 유형평가 and 11 other fieldsHigh correlation
객체id has unique valuesUnique

Reproduction

Analysis started2024-05-11 04:24:55.151992
Analysis finished2024-05-11 04:25:10.764472
Duration15.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean844086.03
Minimum831336
Maximum856604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T04:25:10.999527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum831336
5-th percentile832637.85
Q1837822.25
median844117.5
Q3850389.25
95-th percentile855432.05
Maximum856604
Range25268
Interquartile range (IQR)12567

Descriptive statistics

Standard deviation7298.0202
Coefficient of variation (CV)0.0086460621
Kurtosis-1.1944622
Mean844086.03
Median Absolute Deviation (MAD)6280.5
Skewness-0.013962461
Sum8.4408603 × 109
Variance53261099
MonotonicityNot monotonic
2024-05-11T04:25:11.504381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
846962 1
 
< 0.1%
851719 1
 
< 0.1%
845057 1
 
< 0.1%
836441 1
 
< 0.1%
852857 1
 
< 0.1%
848733 1
 
< 0.1%
841928 1
 
< 0.1%
853908 1
 
< 0.1%
853747 1
 
< 0.1%
836593 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
831336 1
< 0.1%
831342 1
< 0.1%
831343 1
< 0.1%
831344 1
< 0.1%
831361 1
< 0.1%
831364 1
< 0.1%
831367 1
< 0.1%
831371 1
< 0.1%
831373 1
< 0.1%
831377 1
< 0.1%
ValueCountFrequency (%)
856604 1
< 0.1%
856603 1
< 0.1%
856602 1
< 0.1%
856596 1
< 0.1%
856593 1
< 0.1%
856591 1
< 0.1%
856590 1
< 0.1%
856588 1
< 0.1%
856586 1
< 0.1%
856585 1
< 0.1%

비오톱유형
Text

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T04:25:12.119405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.1197
Min length2

Characters and Unicode

Total characters21197
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowH1
2nd rowE1
3rd rowH7
4th rowH1
5th rowH1
ValueCountFrequency (%)
e1 1197
 
12.0%
h1 786
 
7.9%
b1 776
 
7.8%
b4 542
 
5.4%
h2 499
 
5.0%
h4 480
 
4.8%
c12 428
 
4.3%
g2 384
 
3.8%
c13 364
 
3.6%
a7 360
 
3.6%
Other values (57) 4184
41.8%
2024-05-11T04:25:13.363699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4639
21.9%
H 2790
13.2%
2 1789
 
8.4%
E 1614
 
7.6%
B 1606
 
7.6%
4 1471
 
6.9%
A 1453
 
6.9%
3 1248
 
5.9%
C 1199
 
5.7%
7 731
 
3.4%
Other values (9) 2657
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11197
52.8%
Uppercase Letter 10000
47.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4639
41.4%
2 1789
 
16.0%
4 1471
 
13.1%
3 1248
 
11.1%
7 731
 
6.5%
9 419
 
3.7%
5 376
 
3.4%
6 236
 
2.1%
0 148
 
1.3%
8 140
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
H 2790
27.9%
E 1614
16.1%
B 1606
16.1%
A 1453
14.5%
C 1199
12.0%
G 560
 
5.6%
F 530
 
5.3%
D 184
 
1.8%
I 64
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 11197
52.8%
Latin 10000
47.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4639
41.4%
2 1789
 
16.0%
4 1471
 
13.1%
3 1248
 
11.1%
7 731
 
6.5%
9 419
 
3.7%
5 376
 
3.4%
6 236
 
2.1%
0 148
 
1.3%
8 140
 
1.3%
Latin
ValueCountFrequency (%)
H 2790
27.9%
E 1614
16.1%
B 1606
16.1%
A 1453
14.5%
C 1199
12.0%
G 560
 
5.6%
F 530
 
5.3%
D 184
 
1.8%
I 64
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4639
21.9%
H 2790
13.2%
2 1789
 
8.4%
E 1614
 
7.6%
B 1606
 
7.6%
4 1471
 
6.9%
A 1453
 
6.9%
3 1248
 
5.9%
C 1199
 
5.7%
7 731
 
3.4%
Other values (9) 2657
12.5%

면적
Real number (ℝ)

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20929.591
Minimum0.00054101
Maximum3052475.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T04:25:13.919258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00054101
5-th percentile525.69633
Q11990.928
median5720.643
Q316059.283
95-th percentile78175.051
Maximum3052475.7
Range3052475.7
Interquartile range (IQR)14068.355

Descriptive statistics

Standard deviation78853.942
Coefficient of variation (CV)3.7675816
Kurtosis490.87262
Mean20929.591
Median Absolute Deviation (MAD)4590.5904
Skewness18.475077
Sum2.0929591 × 108
Variance6.2179442 × 109
MonotonicityNot monotonic
2024-05-11T04:25:14.503856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
796158.493396 2
 
< 0.1%
15016.9901207 1
 
< 0.1%
23894.9985089 1
 
< 0.1%
19375.1722962 1
 
< 0.1%
6052.95524279 1
 
< 0.1%
2179.1688491 1
 
< 0.1%
6456.78096392 1
 
< 0.1%
3900.77286109 1
 
< 0.1%
6373.73995786 1
 
< 0.1%
11005.2012332 1
 
< 0.1%
Other values (9989) 9989
99.9%
ValueCountFrequency (%)
0.00054101 1
< 0.1%
0.36674299 1
< 0.1%
14.40183633 1
< 0.1%
15.63194525 1
< 0.1%
16.25914795 1
< 0.1%
16.31228596 1
< 0.1%
16.58809937 1
< 0.1%
20.25200771 1
< 0.1%
20.53769017 1
< 0.1%
21.93867571 1
< 0.1%
ValueCountFrequency (%)
3052475.7202 1
< 0.1%
2517601.5908 1
< 0.1%
2081261.99423 1
< 0.1%
1828334.3587 1
< 0.1%
1707283.96501 1
< 0.1%
1622250.66379 1
< 0.1%
1467005.38279 1
< 0.1%
1406313.39639 1
< 0.1%
1351492.09022 1
< 0.1%
1306388.87125 1
< 0.1%

유형분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4711 
2
3980 
1
1135 
4
 
174

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 4711
47.1%
2 3980
39.8%
1 1135
 
11.3%
4 174
 
1.7%

Length

2024-05-11T04:25:15.023792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:15.429333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4711
47.1%
2 3980
39.8%
1 1135
 
11.3%
4 174
 
1.7%

주요서식지
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5027 
1
2562 
2
2241 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5027
50.3%
1 2562
25.6%
2 2241
22.4%
0 170
 
1.7%

Length

2024-05-11T04:25:15.836927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:16.156984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5027
50.3%
1 2562
25.6%
2 2241
22.4%
0 170
 
1.7%

일반서식지
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
3728 
3
3109 
2
2993 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3728
37.3%
3 3109
31.1%
2 2993
29.9%
0 170
 
1.7%

Length

2024-05-11T04:25:16.562840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:16.986785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3728
37.3%
3 3109
31.1%
2 2993
29.9%
0 170
 
1.7%

지형특성
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6158 
1
2307 
3
1365 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6158
61.6%
1 2307
 
23.1%
3 1365
 
13.7%
0 170
 
1.7%

Length

2024-05-11T04:25:17.500478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:17.872856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6158
61.6%
1 2307
 
23.1%
3 1365
 
13.7%
0 170
 
1.7%

유형가치
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5810 
2
2753 
3
1267 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5810
58.1%
2 2753
27.5%
3 1267
 
12.7%
0 170
 
1.7%

Length

2024-05-11T04:25:18.364976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:18.706833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5810
58.1%
2 2753
27.5%
3 1267
 
12.7%
0 170
 
1.7%

층위구조
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5810 
2
2753 
3
1267 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5810
58.1%
2 2753
27.5%
3 1267
 
12.7%
0 170
 
1.7%

Length

2024-05-11T04:25:19.136331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:19.566310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5810
58.1%
2 2753
27.5%
3 1267
 
12.7%
0 170
 
1.7%

서식잠재성
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6241 
2
1914 
1
1675 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 6241
62.4%
2 1914
 
19.1%
1 1675
 
16.8%
0 170
 
1.7%

Length

2024-05-11T04:25:20.056881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:20.468767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6241
62.4%
2 1914
 
19.1%
1 1675
 
16.8%
0 170
 
1.7%

면적희귀도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
4925 
1
2769 
3
2136 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
2 4925
49.2%
1 2769
27.7%
3 2136
21.4%
0 170
 
1.7%

Length

2024-05-11T04:25:20.878457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:21.275683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 4925
49.2%
1 2769
27.7%
3 2136
21.4%
0 170
 
1.7%

유형면적
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
4925 
1
2769 
3
2136 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
2 4925
49.2%
1 2769
27.7%
3 2136
21.4%
0 170
 
1.7%

Length

2024-05-11T04:25:22.091347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:22.492018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 4925
49.2%
1 2769
27.7%
3 2136
21.4%
0 170
 
1.7%

유형희귀도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7472 
2
2024 
1
 
334
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7472
74.7%
2 2024
 
20.2%
1 334
 
3.3%
0 170
 
1.7%

Length

2024-05-11T04:25:22.909066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:23.431682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7472
74.7%
2 2024
 
20.2%
1 334
 
3.3%
0 170
 
1.7%

평가a
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4809 
1
4116 
2
905 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 4809
48.1%
1 4116
41.2%
2 905
 
9.0%
0 170
 
1.7%

Length

2024-05-11T04:25:23.807265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:24.192881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4809
48.1%
1 4116
41.2%
2 905
 
9.0%
0 170
 
1.7%

평가b
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6496 
2
2322 
3
1012 
0
 
170

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6496
65.0%
2 2322
 
23.2%
3 1012
 
10.1%
0 170
 
1.7%

Length

2024-05-11T04:25:24.795140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:25.212888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6496
65.0%
2 2322
 
23.2%
3 1012
 
10.1%
0 170
 
1.7%

유형평가
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8269
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T04:25:25.601824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum21
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8022708
Coefficient of variation (CV)0.99128756
Kurtosis27.208398
Mean2.8269
Median Absolute Deviation (MAD)1
Skewness4.5859302
Sum28269
Variance7.8527217
MonotonicityNot monotonic
2024-05-11T04:25:26.138917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 4116
41.2%
4 2322
23.2%
3 1475
 
14.8%
5 1012
 
10.1%
2 905
 
9.0%
21 170
 
1.7%
ValueCountFrequency (%)
1 4116
41.2%
2 905
 
9.0%
3 1475
 
14.8%
4 2322
23.2%
5 1012
 
10.1%
21 170
 
1.7%
ValueCountFrequency (%)
21 170
 
1.7%
5 1012
 
10.1%
4 2322
23.2%
3 1475
 
14.8%
2 905
 
9.0%
1 4116
41.2%

평가등급
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1등급
2651 
2등급
2370 
4등급
2322 
3등급
1475 
5등급
1012 
Other values (2)
 
170

Length

Max length3
Median length3
Mean length2.983
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1등급 2651
26.5%
2등급 2370
23.7%
4등급 2322
23.2%
3등급 1475
14.8%
5등급 1012
 
10.1%
하천 141
 
1.4%
도로 29
 
0.3%

Length

2024-05-11T04:25:26.711505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:27.111608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 2651
26.5%
2등급 2370
23.7%
4등급 2322
23.2%
3등급 1475
14.8%
5등급 1012
 
10.1%
하천 141
 
1.4%
도로 29
 
0.3%

고유번호
Real number (ℝ)

HIGH CORRELATION 

Distinct9699
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12293.633
Minimum0
Maximum24776
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T04:25:27.601102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1254.95
Q16188.5
median12177.5
Q318363.25
95-th percentile23467.05
Maximum24776
Range24776
Interquartile range (IQR)12174.75

Descriptive statistics

Standard deviation7103.7517
Coefficient of variation (CV)0.57783989
Kurtosis-1.1796004
Mean12293.633
Median Absolute Deviation (MAD)6072
Skewness0.021224952
Sum1.2293633 × 108
Variance50463288
MonotonicityNot monotonic
2024-05-11T04:25:28.208864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9885 70
 
0.7%
9935 16
 
0.2%
9760 9
 
0.1%
9708 8
 
0.1%
9756 7
 
0.1%
10593 7
 
0.1%
7302 6
 
0.1%
24701 6
 
0.1%
413 5
 
0.1%
12562 5
 
0.1%
Other values (9689) 9861
98.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
8 5
0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
24776 1
< 0.1%
24774 2
< 0.1%
24771 1
< 0.1%
24770 1
< 0.1%
24768 1
< 0.1%
24765 1
< 0.1%
24764 1
< 0.1%
24763 1
< 0.1%
24752 1
< 0.1%
24748 1
< 0.1%

유형범례
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
산림지 비오톱
2790 
조경녹지 비오톱
1614 
상업 및 업무지 비오톱
1606 
주거지 비오톱
1453 
공업지 및 도시기반시설지
1199 
Other values (4)
1338 

Length

Max length13
Median length12
Mean length8.9142
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산림지 비오톱
2nd row조경녹지 비오톱
3rd row산림지 비오톱
4th row산림지 비오톱
5th row산림지 비오톱

Common Values

ValueCountFrequency (%)
산림지 비오톱 2790
27.9%
조경녹지 비오톱 1614
16.1%
상업 및 업무지 비오톱 1606
16.1%
주거지 비오톱 1453
14.5%
공업지 및 도시기반시설지 1199
12.0%
경작지 비오톱 560
 
5.6%
하천 및 습지 비오톱 530
 
5.3%
교통시설 비오톱 184
 
1.8%
유휴지 비오톱 64
 
0.6%

Length

2024-05-11T04:25:28.833504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:25:29.254736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비오톱 8801
34.6%
및 3335
 
13.1%
산림지 2790
 
11.0%
조경녹지 1614
 
6.3%
상업 1606
 
6.3%
업무지 1606
 
6.3%
주거지 1453
 
5.7%
공업지 1199
 
4.7%
도시기반시설지 1199
 
4.7%
경작지 560
 
2.2%
Other values (4) 1308
 
5.1%

Interactions

2024-05-11T04:25:07.626812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:03.569792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:04.827583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:06.184434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:07.952594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:03.899499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:05.133235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:06.479402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:08.401260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:04.211798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:05.452016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:06.868658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:08.796613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:04.538587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:05.819596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:25:07.269911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T04:25:29.668993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id비오톱유형면적유형분류주요서식지일반서식지지형특성유형가치층위구조서식잠재성면적희귀도유형면적유형희귀도평가a평가b유형평가평가등급고유번호유형범례
객체id1.0000.8990.0270.6050.5700.5230.5700.5810.5810.5280.4180.4180.3200.5440.5550.5600.5750.8940.682
비오톱유형0.8991.0000.2851.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9851.000
면적0.0270.2851.0000.1040.1310.1360.1330.1430.1430.1300.1370.1370.1270.1300.1480.1480.1370.0430.072
유형분류0.6051.0000.1041.0000.9010.8280.7610.8510.8510.8640.4040.4040.5250.8950.7990.8910.7480.7650.774
주요서식지0.5701.0000.1310.9011.0000.9650.9670.9640.9640.9790.9270.9270.9160.9850.9510.9780.9610.8360.880
일반서식지0.5231.0000.1360.8280.9651.0000.9520.9660.9660.9790.9270.9270.9090.9800.9590.9720.8600.7640.781
지형특성0.5701.0000.1330.7610.9670.9521.0000.9510.9510.9700.9390.9390.9060.9410.9320.9450.8590.8240.814
유형가치0.5811.0000.1430.8510.9640.9660.9511.0001.0000.9430.9310.9310.8980.9680.9940.9950.9350.8180.781
층위구조0.5811.0000.1430.8510.9640.9660.9511.0001.0000.9430.9310.9310.8980.9680.9940.9950.9350.8180.781
서식잠재성0.5281.0000.1300.8640.9790.9790.9700.9430.9431.0000.9550.9550.9130.9710.9330.9560.8720.7870.815
면적희귀도0.4181.0000.1370.4040.9270.9270.9390.9310.9310.9551.0001.0000.9480.9110.9470.9420.8680.6730.613
유형면적0.4181.0000.1370.4040.9270.9270.9390.9310.9310.9551.0001.0000.9480.9110.9470.9420.8680.6730.613
유형희귀도0.3201.0000.1270.5250.9160.9090.9060.8980.8980.9130.9480.9481.0000.9170.8980.9140.7690.4760.554
평가a0.5441.0000.1300.8950.9850.9800.9410.9680.9680.9710.9110.9110.9171.0000.9550.9820.9040.7770.822
평가b0.5551.0000.1480.7990.9510.9590.9320.9940.9940.9330.9470.9470.8980.9551.0000.9951.0000.7790.737
유형평가0.5601.0000.1480.8910.9780.9720.9450.9950.9950.9560.9420.9420.9140.9820.9951.0001.0000.7870.785
평가등급0.5751.0000.1370.7480.9610.8600.8590.9350.9350.8720.8680.8680.7690.9041.0001.0001.0000.7990.823
고유번호0.8940.9850.0430.7650.8360.7640.8240.8180.8180.7870.6730.6730.4760.7770.7790.7870.7991.0000.902
유형범례0.6821.0000.0720.7740.8800.7810.8140.7810.7810.8150.6130.6130.5540.8220.7370.7850.8230.9021.000
2024-05-11T04:25:30.228848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지형특성유형희귀도면적희귀도일반서식지서식잠재성주요서식지평가a평가등급유형가치유형면적유형범례유형분류평가b층위구조
지형특성1.0000.5990.6720.7070.7650.7540.6760.7890.7040.6720.6810.3980.6550.704
유형희귀도0.5991.0000.6930.6050.6110.6180.6200.6550.5820.6930.3890.2270.5820.582
면적희귀도0.6720.6931.0000.6430.7150.6410.6080.8030.6511.0000.4430.1670.6920.651
일반서식지0.7070.6050.6431.0000.8040.7480.8090.7910.7500.6430.6350.4750.7270.750
서식잠재성0.7650.6110.7150.8041.0000.8050.7700.8090.6820.7150.6830.5260.6570.682
주요서식지0.7540.6180.6410.7480.8051.0000.8330.9660.7440.6410.7870.5890.7050.744
평가a0.6760.6200.6080.8090.7700.8331.0000.8650.7580.6080.6940.5770.7150.758
평가등급0.7890.6550.8030.7910.8090.9660.8651.0000.9200.8030.6290.6271.0000.920
유형가치0.7040.5820.6510.7500.6820.7440.7580.9201.0000.6510.6350.5060.8961.000
유형면적0.6720.6931.0000.6430.7150.6410.6080.8030.6511.0000.4430.1670.6920.651
유형범례0.6810.3890.4430.6350.6830.7870.6940.6290.6350.4431.0000.6250.5770.635
유형분류0.3980.2270.1670.4750.5260.5890.5770.6270.5060.1670.6251.0000.4390.506
평가b0.6550.5820.6920.7270.6570.7050.7151.0000.8960.6920.5770.4391.0000.896
층위구조0.7040.5820.6510.7500.6820.7440.7580.9201.0000.6510.6350.5060.8961.000
2024-05-11T04:25:30.807667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id면적유형평가고유번호유형분류주요서식지일반서식지지형특성유형가치층위구조서식잠재성면적희귀도유형면적유형희귀도평가a평가b평가등급유형범례
객체id1.000-0.042-0.0700.2180.4090.3780.3400.3790.3870.3870.3440.2620.2620.1960.3570.3660.3370.395
면적-0.0421.0000.375-0.3830.0670.0840.0870.0850.0920.0920.0830.0880.0880.0810.0840.0950.0720.023
유형평가-0.0700.3751.000-0.7420.5320.8630.8760.7660.9400.9400.8050.7440.7440.7120.8761.0001.0000.685
고유번호0.218-0.383-0.7421.0000.5780.6760.5770.6580.6480.6480.6060.4740.4740.3030.5930.5960.5730.705
유형분류0.4090.0670.5320.5781.0000.5890.4750.3980.5060.5060.5260.1670.1670.2270.5770.4390.6270.625
주요서식지0.3780.0840.8630.6760.5891.0000.7480.7540.7440.7440.8050.6410.6410.6180.8330.7050.9660.787
일반서식지0.3400.0870.8760.5770.4750.7481.0000.7070.7500.7500.8040.6430.6430.6050.8090.7270.7910.635
지형특성0.3790.0850.7660.6580.3980.7540.7071.0000.7040.7040.7650.6720.6720.5990.6760.6550.7890.681
유형가치0.3870.0920.9400.6480.5060.7440.7500.7041.0001.0000.6820.6510.6510.5820.7580.8960.9200.635
층위구조0.3870.0920.9400.6480.5060.7440.7500.7041.0001.0000.6820.6510.6510.5820.7580.8960.9200.635
서식잠재성0.3440.0830.8050.6060.5260.8050.8040.7650.6820.6821.0000.7150.7150.6110.7700.6570.8090.683
면적희귀도0.2620.0880.7440.4740.1670.6410.6430.6720.6510.6510.7151.0001.0000.6930.6080.6920.8030.443
유형면적0.2620.0880.7440.4740.1670.6410.6430.6720.6510.6510.7151.0001.0000.6930.6080.6920.8030.443
유형희귀도0.1960.0810.7120.3030.2270.6180.6050.5990.5820.5820.6110.6930.6931.0000.6200.5820.6550.389
평가a0.3570.0840.8760.5930.5770.8330.8090.6760.7580.7580.7700.6080.6080.6201.0000.7150.8650.694
평가b0.3660.0951.0000.5960.4390.7050.7270.6550.8960.8960.6570.6920.6920.5820.7151.0001.0000.577
평가등급0.3370.0721.0000.5730.6270.9660.7910.7890.9200.9200.8090.8030.8030.6550.8651.0001.0000.629
유형범례0.3950.0230.6850.7050.6250.7870.6350.6810.6350.6350.6830.4430.4430.3890.6940.5770.6291.000

Missing values

2024-05-11T04:25:09.355628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T04:25:10.381212image/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

객체id비오톱유형면적유형분류주요서식지일반서식지지형특성유형가치층위구조서식잠재성면적희귀도유형면적유형희귀도평가a평가b유형평가평가등급고유번호유형범례
9644846962H115016.99012121111113331111등급18583산림지 비오톱
24271832335E12453.42536922121122231112등급11114조경녹지 비오톱
550856056H75082.23019121221131131111등급23462산림지 비오톱
10316846290H15355.94514121111113331111등급18035산림지 비오톱
14546842060H1409.14348621111113331111등급19147산림지 비오톱
10213846393A14752.62289533323333333355등급179주거지 비오톱
15913840693H11985.37420321111113331111등급17597산림지 비오톱
8008848598G21464.09150922221132232122등급16791경작지 비오톱
17556839050H222486.6436721111122231111등급20636산림지 비오톱
257856349H74290.55279921221131131111등급23142산림지 비오톱
객체id비오톱유형면적유형분류주요서식지일반서식지지형특성유형가치층위구조서식잠재성면적희귀도유형면적유형희귀도평가a평가b유형평가평가등급고유번호유형범례
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