Overview

Dataset statistics

Number of variables6
Number of observations1830
Missing cells142
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.5 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text4

Dataset

Description충청남도 안면도 자연휴양림, 수목원 기본사항 및 운영 정보로 과명, 과영명, 국명, 학명, 수량 등을 개방하고자 합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=405&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078873

Alerts

학명 has 142 (7.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:48:29.018206
Analysis finished2024-01-09 19:48:30.004387
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1830
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean915.5
Minimum1
Maximum1830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2024-01-10T04:48:30.061154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.45
Q1458.25
median915.5
Q31372.75
95-th percentile1738.55
Maximum1830
Range1829
Interquartile range (IQR)914.5

Descriptive statistics

Standard deviation528.41981
Coefficient of variation (CV)0.57719259
Kurtosis-1.2
Mean915.5
Median Absolute Deviation (MAD)457.5
Skewness0
Sum1675365
Variance279227.5
MonotonicityStrictly increasing
2024-01-10T04:48:30.166487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1231 1
 
0.1%
1229 1
 
0.1%
1228 1
 
0.1%
1227 1
 
0.1%
1226 1
 
0.1%
1225 1
 
0.1%
1224 1
 
0.1%
1223 1
 
0.1%
1222 1
 
0.1%
Other values (1820) 1820
99.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1830 1
0.1%
1829 1
0.1%
1828 1
0.1%
1827 1
0.1%
1826 1
0.1%
1825 1
0.1%
1824 1
0.1%
1823 1
0.1%
1822 1
0.1%
1821 1
0.1%

과명(영문)
Text

Distinct272
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2024-01-10T04:48:30.374381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.162295
Min length7

Characters and Unicode

Total characters20427
Distinct characters47
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)6.4%

Sample

1st rowCrassulaceae
2nd rowDryopteridaceae
3rd rowRosaceae
4th rowApocynaceae
5th rowRosaceae
ValueCountFrequency (%)
hydrangeaceae 343
18.7%
rosaceae 116
 
6.3%
iridaceae 112
 
6.1%
liliaceae 104
 
5.7%
malvaceae 62
 
3.4%
paeoniaceae 56
 
3.1%
asteraceae 55
 
3.0%
pinaceae 52
 
2.8%
cupressaceae 50
 
2.7%
ericaceae 47
 
2.6%
Other values (139) 833
45.5%
2024-01-10T04:48:30.681675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 4554
22.3%
e 4470
21.9%
c 2002
9.8%
r 1044
 
5.1%
i 964
 
4.7%
n 699
 
3.4%
634
 
3.1%
d 617
 
3.0%
l 571
 
2.8%
y 520
 
2.5%
Other values (37) 4352
21.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17963
87.9%
Uppercase Letter 1830
 
9.0%
Space Separator 634
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4554
25.4%
e 4470
24.9%
c 2002
11.1%
r 1044
 
5.8%
i 964
 
5.4%
n 699
 
3.9%
d 617
 
3.4%
l 571
 
3.2%
y 520
 
2.9%
o 507
 
2.8%
Other values (14) 2015
11.2%
Uppercase Letter
ValueCountFrequency (%)
H 354
19.3%
P 200
10.9%
A 190
10.4%
C 169
9.2%
R 168
9.2%
L 147
8.0%
I 113
 
6.2%
M 96
 
5.2%
E 64
 
3.5%
S 60
 
3.3%
Other values (12) 269
14.7%
Space Separator
ValueCountFrequency (%)
634
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19793
96.9%
Common 634
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4554
23.0%
e 4470
22.6%
c 2002
10.1%
r 1044
 
5.3%
i 964
 
4.9%
n 699
 
3.5%
d 617
 
3.1%
l 571
 
2.9%
y 520
 
2.6%
o 507
 
2.6%
Other values (36) 3845
19.4%
Common
ValueCountFrequency (%)
634
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 4554
22.3%
e 4470
21.9%
c 2002
9.8%
r 1044
 
5.1%
i 964
 
4.7%
n 699
 
3.4%
634
 
3.1%
d 617
 
3.0%
l 571
 
2.8%
y 520
 
2.5%
Other values (37) 4352
21.3%

과명(국문)
Text

Distinct143
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2024-01-10T04:48:30.923180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.6065574
Min length2

Characters and Unicode

Total characters6600
Distinct characters191
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)2.1%

Sample

1st row돌나물과
2nd row관중과
3rd row장미과
4th row협죽도과
5th row장미과
ValueCountFrequency (%)
수국과 345
18.9%
장미과 116
 
6.3%
붓꽃과 112
 
6.1%
백합과 104
 
5.7%
아욱과 62
 
3.4%
작약과 56
 
3.1%
국화과 56
 
3.1%
소나무과 52
 
2.8%
측백나무과 50
 
2.7%
진달래과 47
 
2.6%
Other values (133) 830
45.4%
2024-01-10T04:48:31.211027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1830
27.7%
나 402
 
6.1%
국 401
 
6.1%
수 378
 
5.7%
무 366
 
5.5%
백 156
 
2.4%
꽃 144
 
2.2%
미 140
 
2.1%
장 121
 
1.8%
붓 113
 
1.7%
Other values (181) 2549
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6600
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1830
27.7%
나 402
 
6.1%
국 401
 
6.1%
수 378
 
5.7%
무 366
 
5.5%
백 156
 
2.4%
꽃 144
 
2.2%
미 140
 
2.1%
장 121
 
1.8%
붓 113
 
1.7%
Other values (181) 2549
38.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6600
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1830
27.7%
나 402
 
6.1%
국 401
 
6.1%
수 378
 
5.7%
무 366
 
5.5%
백 156
 
2.4%
꽃 144
 
2.2%
미 140
 
2.1%
장 121
 
1.8%
붓 113
 
1.7%
Other values (181) 2549
38.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6600
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1830
27.7%
나 402
 
6.1%
국 401
 
6.1%
수 378
 
5.7%
무 366
 
5.5%
백 156
 
2.4%
꽃 144
 
2.2%
미 140
 
2.1%
장 121
 
1.8%
붓 113
 
1.7%
Other values (181) 2549
38.6%

학명
Text

MISSING 

Distinct1666
Distinct (%)98.7%
Missing142
Missing (%)7.8%
Memory size14.4 KiB
2024-01-10T04:48:31.443941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length60
Mean length31.150474
Min length8

Characters and Unicode

Total characters52582
Distinct characters78
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1651 ?
Unique (%)97.8%

Sample

1st rowPhedimus aizoon (L.) 't Hart
2nd rowArachniodes aristata (G.Forst.) Tindale
3rd rowSanguisorba x tenuifolia Fisch. ex Link
4th rowTrachelospermum asiaticum sp.
5th rowSpiraea thunbergii Siebold ex Blume
ValueCountFrequency (%)
hydrangea 329
 
5.1%
macrophylla 250
 
3.9%
l 162
 
2.5%
132
 
2.0%
thunb 115
 
1.8%
iris 111
 
1.7%
serrata 84
 
1.3%
nakai 78
 
1.2%
var 78
 
1.2%
siebold 70
 
1.1%
Other values (2467) 5034
78.1%
2024-01-10T04:48:31.803149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5706
 
10.9%
a 5300
 
10.1%
i 3626
 
6.9%
e 3156
 
6.0%
r 3058
 
5.8%
n 2475
 
4.7%
s 2343
 
4.5%
o 2298
 
4.4%
l 2220
 
4.2%
u 2002
 
3.8%
Other values (68) 20398
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38468
73.2%
Space Separator 5706
 
10.9%
Uppercase Letter 4659
 
8.9%
Other Punctuation 2886
 
5.5%
Open Punctuation 377
 
0.7%
Close Punctuation 376
 
0.7%
Dash Punctuation 41
 
0.1%
Other Symbol 32
 
0.1%
Other Letter 32
 
0.1%
Final Punctuation 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 5300
13.8%
i 3626
 
9.4%
e 3156
 
8.2%
r 3058
 
7.9%
n 2475
 
6.4%
s 2343
 
6.1%
o 2298
 
6.0%
l 2220
 
5.8%
u 2002
 
5.2%
c 1617
 
4.2%
Other values (16) 10373
27.0%
Uppercase Letter
ValueCountFrequency (%)
H 621
13.3%
S 430
 
9.2%
L 343
 
7.4%
C 331
 
7.1%
M 328
 
7.0%
P 325
 
7.0%
T 257
 
5.5%
A 251
 
5.4%
B 203
 
4.4%
D 189
 
4.1%
Other values (16) 1381
29.6%
Other Letter
ValueCountFrequency (%)
비 5
15.6%
합 5
15.6%
법 5
15.6%
명 5
15.6%
니 2
 
6.2%
거 1
 
3.1%
풍 1
 
3.1%
강 1
 
3.1%
코 1
 
3.1%
랄 1
 
3.1%
Other values (5) 5
15.6%
Other Punctuation
ValueCountFrequency (%)
' 1439
49.9%
. 1319
45.7%
& 128
 
4.4%
Space Separator
ValueCountFrequency (%)
5706
100.0%
Open Punctuation
ValueCountFrequency (%)
( 377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
® 32
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43127
82.0%
Common 9423
 
17.9%
Hangul 32
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 5300
 
12.3%
i 3626
 
8.4%
e 3156
 
7.3%
r 3058
 
7.1%
n 2475
 
5.7%
s 2343
 
5.4%
o 2298
 
5.3%
l 2220
 
5.1%
u 2002
 
4.6%
c 1617
 
3.7%
Other values (42) 15032
34.9%
Hangul
ValueCountFrequency (%)
비 5
15.6%
합 5
15.6%
법 5
15.6%
명 5
15.6%
니 2
 
6.2%
거 1
 
3.1%
풍 1
 
3.1%
강 1
 
3.1%
코 1
 
3.1%
랄 1
 
3.1%
Other values (5) 5
15.6%
Common
ValueCountFrequency (%)
5706
60.6%
' 1439
 
15.3%
. 1319
 
14.0%
( 377
 
4.0%
) 376
 
4.0%
& 128
 
1.4%
- 41
 
0.4%
® 32
 
0.3%
’ 3
 
< 0.1%
7 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52514
99.9%
None 32
 
0.1%
Hangul 32
 
0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5706
 
10.9%
a 5300
 
10.1%
i 3626
 
6.9%
e 3156
 
6.0%
r 3058
 
5.8%
n 2475
 
4.7%
s 2343
 
4.5%
o 2298
 
4.4%
l 2220
 
4.2%
u 2002
 
3.8%
Other values (50) 20330
38.7%
None
ValueCountFrequency (%)
® 32
100.0%
Hangul
ValueCountFrequency (%)
비 5
15.6%
합 5
15.6%
법 5
15.6%
명 5
15.6%
니 2
 
6.2%
거 1
 
3.1%
풍 1
 
3.1%
강 1
 
3.1%
코 1
 
3.1%
랄 1
 
3.1%
Other values (5) 5
15.6%
Punctuation
ValueCountFrequency (%)
’ 3
75.0%
‘ 1
 
25.0%

국명
Text

Distinct1828
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2024-01-10T04:48:32.088965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length7.6415301
Min length1

Characters and Unicode

Total characters13984
Distinct characters707
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1826 ?
Unique (%)99.8%

Sample

1st row가는기린초
2nd row가는쇠고사리
3rd row가는오이풀
4th row가는잎마삭줄
5th row가는잎조팝나무
ValueCountFrequency (%)
수국 274
 
9.1%
무궁화 61
 
2.0%
산수국 52
 
1.7%
독일붓꽃 52
 
1.7%
시베리아붓꽃 40
 
1.3%
모란 31
 
1.0%
알리움 25
 
0.8%
작약 20
 
0.7%
매지컬 20
 
0.7%
비비추 17
 
0.6%
Other values (2024) 2433
80.4%
2024-01-10T04:48:32.479108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1589
 
11.4%
1199
 
8.6%
무 527
 
3.8%
나 492
 
3.5%
리 428
 
3.1%
수 387
 
2.8%
국 363
 
2.6%
스 220
 
1.6%
사 188
 
1.3%
아 183
 
1.3%
Other values (697) 8408
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10469
74.9%
Other Punctuation 1611
 
11.5%
Space Separator 1199
 
8.6%
Lowercase Letter 515
 
3.7%
Uppercase Letter 110
 
0.8%
Open Punctuation 28
 
0.2%
Close Punctuation 28
 
0.2%
Dash Punctuation 20
 
0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 527
 
5.0%
나 492
 
4.7%
리 428
 
4.1%
수 387
 
3.7%
국 363
 
3.5%
스 220
 
2.1%
사 188
 
1.8%
아 183
 
1.7%
꽃 174
 
1.7%
이 166
 
1.6%
Other values (643) 7341
70.1%
Lowercase Letter
ValueCountFrequency (%)
e 82
15.9%
l 48
9.3%
a 41
 
8.0%
s 38
 
7.4%
r 38
 
7.4%
n 37
 
7.2%
i 32
 
6.2%
o 32
 
6.2%
u 28
 
5.4%
p 25
 
4.9%
Other values (13) 114
22.1%
Uppercase Letter
ValueCountFrequency (%)
B 14
12.7%
S 11
 
10.0%
R 9
 
8.2%
W 8
 
7.3%
P 7
 
6.4%
M 7
 
6.4%
H 6
 
5.5%
C 6
 
5.5%
L 6
 
5.5%
V 5
 
4.5%
Other values (12) 31
28.2%
Decimal Number
ValueCountFrequency (%)
7 2
50.0%
3 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 1589
98.6%
. 22
 
1.4%
Space Separator
ValueCountFrequency (%)
1199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10469
74.9%
Common 2890
 
20.7%
Latin 625
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 527
 
5.0%
나 492
 
4.7%
리 428
 
4.1%
수 387
 
3.7%
국 363
 
3.5%
스 220
 
2.1%
사 188
 
1.8%
아 183
 
1.7%
꽃 174
 
1.7%
이 166
 
1.6%
Other values (643) 7341
70.1%
Latin
ValueCountFrequency (%)
e 82
 
13.1%
l 48
 
7.7%
a 41
 
6.6%
s 38
 
6.1%
r 38
 
6.1%
n 37
 
5.9%
i 32
 
5.1%
o 32
 
5.1%
u 28
 
4.5%
p 25
 
4.0%
Other values (35) 224
35.8%
Common
ValueCountFrequency (%)
' 1589
55.0%
1199
41.5%
( 28
 
1.0%
) 28
 
1.0%
. 22
 
0.8%
- 20
 
0.7%
7 2
 
0.1%
3 1
 
< 0.1%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10469
74.9%
ASCII 3515
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
' 1589
45.2%
1199
34.1%
e 82
 
2.3%
l 48
 
1.4%
a 41
 
1.2%
s 38
 
1.1%
r 38
 
1.1%
n 37
 
1.1%
i 32
 
0.9%
o 32
 
0.9%
Other values (44) 379
 
10.8%
Hangul
ValueCountFrequency (%)
무 527
 
5.0%
나 492
 
4.7%
리 428
 
4.1%
수 387
 
3.7%
국 363
 
3.5%
스 220
 
2.1%
사 188
 
1.8%
아 183
 
1.7%
꽃 174
 
1.7%
이 166
 
1.6%
Other values (643) 7341
70.1%

수량
Real number (ℝ)

Distinct194
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459.93552
Minimum1
Maximum101470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2024-01-10T04:48:32.598447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q321
95-th percentile500
Maximum101470
Range101469
Interquartile range (IQR)19

Descriptive statistics

Standard deviation4523.6281
Coefficient of variation (CV)9.8353528
Kurtosis318.25116
Mean459.93552
Median Absolute Deviation (MAD)4
Skewness16.608573
Sum841682
Variance20463211
MonotonicityNot monotonic
2024-01-10T04:48:32.702316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 336
18.4%
5 258
14.1%
2 153
 
8.4%
4 121
 
6.6%
10 110
 
6.0%
3 105
 
5.7%
20 50
 
2.7%
30 49
 
2.7%
6 45
 
2.5%
50 37
 
2.0%
Other values (184) 566
30.9%
ValueCountFrequency (%)
1 336
18.4%
2 153
8.4%
3 105
 
5.7%
4 121
 
6.6%
5 258
14.1%
6 45
 
2.5%
7 31
 
1.7%
8 25
 
1.4%
9 23
 
1.3%
10 110
 
6.0%
ValueCountFrequency (%)
101470 1
0.1%
100010 1
0.1%
70000 1
0.1%
51450 1
0.1%
51000 1
0.1%
41400 1
0.1%
34255 1
0.1%
31000 1
0.1%
29490 1
0.1%
22140 1
0.1%

Interactions

2024-01-10T04:48:29.676740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:48:29.535014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:48:29.786855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:48:29.607828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:48:32.762547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호수량
번호1.0000.032
수량0.0321.000
2024-01-10T04:48:32.823231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호수량
번호1.0000.060
수량0.0601.000

Missing values

2024-01-10T04:48:29.886135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:48:29.970833image/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

번호과명(영문)과명(국문)학명국명수량
01Crassulaceae돌나물과Phedimus aizoon (L.) 't Hart가는기린초5
12Dryopteridaceae관중과Arachniodes aristata (G.Forst.) Tindale가는쇠고사리10
23Rosaceae장미과Sanguisorba x tenuifolia Fisch. ex Link가는오이풀1
34Apocynaceae협죽도과Trachelospermum asiaticum sp.가는잎마삭줄200
45Rosaceae장미과Spiraea thunbergii Siebold ex Blume가는잎조팝나무10
56Dryopteridaceae관중과Dryopteris chinensis (Baker) Koidz.가는잎족제비고사리2020
67Thelypteridaceae처녀고사리과Thelypteris beddomei (Baker) Ching가는잎처녀고사리22140
78Verbenaceae마편초과Verbena x hybrida Hort. ex Vilm.가든버베나100
89Juglandaceae가래나무과Juglans mandshurica Maxim.가래나무28
910Caprifoliaceae인동과Viburnum dilatatum Thunb.가막살나무27
번호과명(영문)과명(국문)학명국명수량
18201821Ericaceae진달래과Rhododendron mucronulatum f. albiflorum (Nakai) Okuyama흰진달래5
18211822Fabaceae콩과Cercis canadensis f. alba Rehder흰캐나다박태기4
18221823Athyriaceae개고사리과Deparia orientalis (Z.R.Wang & J.J.Chien) Nakaike흰털고사리7
18231824Hydrangeaceae수국과Deutzia crenata 'White Marginata'흰테무늬빈도리10
18241825Rosaceae장미과Rosa rugosa 'Alba'흰해당화11
18251826Hamamelidaceae조록나무과Corylopsis coreana Uyeki히어리14
18261827Hydrangeaceae수국과Hydrangea serrata f. fertilis Nakai (비합법명)탐라산수국75
18271828Euphorbiaceae대극과Euphorbia marginata Pursh설악초250
18281829Asteraceae국화과Helianthus annuus L.해바라기20
18291830Magnoliaceae목련과Magnolia 'Vulcan'목련 '벌컨'6