Overview

Dataset statistics

Number of variables10
Number of observations1298
Missing cells33
Missing cells (%)0.3%
Duplicate rows4
Duplicate rows (%)0.3%
Total size in memory101.5 KiB
Average record size in memory80.1 B

Variable types

Unsupported2
Text5
Categorical3

Dataset

Description대아수목원식물보유현황목본식물
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202190

Alerts

Dataset has 4 (0.3%) duplicate rowsDuplicates
Unnamed: 5 is highly overall correlated with Unnamed: 6High correlation
Unnamed: 6 is highly overall correlated with Unnamed: 5 and 1 other fieldsHigh correlation
Unnamed: 8 is highly overall correlated with Unnamed: 6High correlation
Unnamed: 6 is highly imbalanced (75.4%)Imbalance
대아수목원 보유 식물목록(목본) 90과 250속 532종 1아종 91변종 55품종 3교잡종 608재배종 총 1,290종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 23:56:38.344768
Analysis finished2024-03-13 23:56:39.604440
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대아수목원 보유 식물목록(목본) 90과 250속 532종 1아종 91변종 55품종 3교잡종 608재배종 총 1,290종류
Unsupported

REJECTED  UNSUPPORTED 

Missing7
Missing (%)0.5%
Memory size10.3 KiB

Unnamed: 1
Text

Distinct1034
Distinct (%)80.0%
Missing5
Missing (%)0.4%
Memory size10.3 KiB
2024-03-14T08:56:39.841859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length24.093581
Min length7

Characters and Unicode

Total characters31153
Distinct characters89
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique995 ?
Unique (%)77.0%

Sample

1st row수목유전자원명
2nd row학 명
3rd rowCycas revoluta Thunb.
4th rowZamia pumila L.
5th rowGinkgo spp.
ValueCountFrequency (%)
spp 327
 
7.9%
rosa 139
 
3.3%
japonica 96
 
2.3%
var 90
 
2.2%
hibiscus 88
 
2.1%
camellia 73
 
1.8%
syriacus 70
 
1.7%
l 61
 
1.5%
magnolia 60
 
1.4%
et 54
 
1.3%
Other values (1400) 3093
74.5%
2024-03-14T08:56:40.314610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3325
 
10.7%
a 3207
 
10.3%
i 2286
 
7.3%
s 1987
 
6.4%
e 1687
 
5.4%
r 1585
 
5.1%
o 1561
 
5.0%
n 1487
 
4.8%
u 1408
 
4.5%
l 1225
 
3.9%
Other values (79) 11395
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23386
75.1%
Space Separator 3325
 
10.7%
Uppercase Letter 2583
 
8.3%
Other Punctuation 1671
 
5.4%
Open Punctuation 64
 
0.2%
Close Punctuation 64
 
0.2%
Decimal Number 24
 
0.1%
Other Letter 22
 
0.1%
Dash Punctuation 12
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3207
13.7%
i 2286
 
9.8%
s 1987
 
8.5%
e 1687
 
7.2%
r 1585
 
6.8%
o 1561
 
6.7%
n 1487
 
6.4%
u 1408
 
6.0%
l 1225
 
5.2%
p 1181
 
5.1%
Other values (16) 5772
24.7%
Uppercase Letter
ValueCountFrequency (%)
R 285
11.0%
C 256
 
9.9%
M 212
 
8.2%
H 207
 
8.0%
P 206
 
8.0%
S 202
 
7.8%
L 162
 
6.3%
A 139
 
5.4%
T 137
 
5.3%
B 111
 
4.3%
Other values (16) 666
25.8%
Other Letter
ValueCountFrequency (%)
명 4
18.2%
학 2
 
9.1%
식 1
 
4.5%
미 1
 
4.5%
동 1
 
4.5%
정 1
 
4.5%
분 1
 
4.5%
물 1
 
4.5%
로 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%
Decimal Number
ValueCountFrequency (%)
6 7
29.2%
2 4
16.7%
1 4
16.7%
9 2
 
8.3%
8 2
 
8.3%
7 1
 
4.2%
4 1
 
4.2%
0 1
 
4.2%
5 1
 
4.2%
3 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 993
59.4%
' 639
38.2%
" 38
 
2.3%
* 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3325
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25969
83.4%
Common 5162
 
16.6%
Hangul 22
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3207
 
12.3%
i 2286
 
8.8%
s 1987
 
7.7%
e 1687
 
6.5%
r 1585
 
6.1%
o 1561
 
6.0%
n 1487
 
5.7%
u 1408
 
5.4%
l 1225
 
4.7%
p 1181
 
4.5%
Other values (42) 8355
32.2%
Common
ValueCountFrequency (%)
3325
64.4%
. 993
 
19.2%
' 639
 
12.4%
( 64
 
1.2%
) 64
 
1.2%
" 38
 
0.7%
- 12
 
0.2%
6 7
 
0.1%
2 4
 
0.1%
1 4
 
0.1%
Other values (9) 12
 
0.2%
Hangul
ValueCountFrequency (%)
명 4
18.2%
학 2
 
9.1%
식 1
 
4.5%
미 1
 
4.5%
동 1
 
4.5%
정 1
 
4.5%
분 1
 
4.5%
물 1
 
4.5%
로 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31131
99.9%
Hangul 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3325
 
10.7%
a 3207
 
10.3%
i 2286
 
7.3%
s 1987
 
6.4%
e 1687
 
5.4%
r 1585
 
5.1%
o 1561
 
5.0%
n 1487
 
4.8%
u 1408
 
4.5%
l 1225
 
3.9%
Other values (61) 11373
36.5%
Hangul
ValueCountFrequency (%)
명 4
18.2%
학 2
 
9.1%
식 1
 
4.5%
미 1
 
4.5%
동 1
 
4.5%
정 1
 
4.5%
분 1
 
4.5%
물 1
 
4.5%
로 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%

Unnamed: 2
Text

Distinct91
Distinct (%)7.0%
Missing7
Missing (%)0.5%
Memory size10.3 KiB
2024-03-14T08:56:40.547376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9969016
Min length1

Characters and Unicode

Total characters3869
Distinct characters145
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.2%

Sample

1st row과 명
2nd row소철
3rd row소철
4th row은행나무
5th row은행나무
ValueCountFrequency (%)
장미 238
18.4%
아욱 88
 
6.8%
차나무 79
 
6.1%
목련 63
 
4.9%
진달래 60
 
4.6%
미나리아재비 60
 
4.6%
단풍나무 51
 
3.9%
측백나무 44
 
3.4%
인동 37
 
2.9%
콩 37
 
2.9%
Other values (82) 535
41.4%
2024-03-14T08:56:40.828012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
나 545
 
14.1%
무 481
 
12.4%
미 299
 
7.7%
장 238
 
6.2%
아 153
 
4.0%
욱 88
 
2.3%
목 80
 
2.1%
차 79
 
2.0%
리 71
 
1.8%
래 68
 
1.8%
Other values (135) 1767
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3861
99.8%
Space Separator 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 545
 
14.1%
무 481
 
12.5%
미 299
 
7.7%
장 238
 
6.2%
아 153
 
4.0%
욱 88
 
2.3%
목 80
 
2.1%
차 79
 
2.0%
리 71
 
1.8%
래 68
 
1.8%
Other values (134) 1759
45.6%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3861
99.8%
Common 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 545
 
14.1%
무 481
 
12.5%
미 299
 
7.7%
장 238
 
6.2%
아 153
 
4.0%
욱 88
 
2.3%
목 80
 
2.1%
차 79
 
2.0%
리 71
 
1.8%
래 68
 
1.8%
Other values (134) 1759
45.6%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3861
99.8%
ASCII 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
나 545
 
14.1%
무 481
 
12.5%
미 299
 
7.7%
장 238
 
6.2%
아 153
 
4.0%
욱 88
 
2.3%
목 80
 
2.1%
차 79
 
2.0%
리 71
 
1.8%
래 68
 
1.8%
Other values (134) 1759
45.6%
ASCII
ValueCountFrequency (%)
8
100.0%

Unnamed: 3
Text

Distinct1106
Distinct (%)85.7%
Missing7
Missing (%)0.5%
Memory size10.3 KiB
2024-03-14T08:56:41.069708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length6.0945004
Min length1

Characters and Unicode

Total characters7868
Distinct characters517
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1084 ?
Unique (%)84.0%

Sample

1st row국 명
2nd row소철
3rd row멕시코소철
4th row왕방울은행나무*
5th row은행나무
ValueCountFrequency (%)
동백나무(재배종 66
 
5.0%
목련(재배종 49
 
3.7%
철쭉류 18
 
1.4%
모란(재배종 12
 
0.9%
무궁화(품종 11
 
0.8%
수국(재배종 11
 
0.8%
단풍나무(재배종 6
 
0.5%
수국 6
 
0.5%
품종 5
 
0.4%
무궁화류 4
 
0.3%
Other values (1108) 1141
85.9%
2024-03-14T08:56:41.456168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 590
 
7.5%
나 497
 
6.3%
* 332
 
4.2%
( 291
 
3.7%
) 291
 
3.7%
- 230
 
2.9%
종 214
 
2.7%
배 173
 
2.2%
재 166
 
2.1%
미 154
 
2.0%
Other values (507) 4930
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6624
84.2%
Other Punctuation 370
 
4.7%
Open Punctuation 291
 
3.7%
Close Punctuation 291
 
3.7%
Dash Punctuation 230
 
2.9%
Space Separator 46
 
0.6%
Decimal Number 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 590
 
8.9%
나 497
 
7.5%
종 214
 
3.2%
배 173
 
2.6%
재 166
 
2.5%
미 154
 
2.3%
장 145
 
2.2%
화 138
 
2.1%
백 122
 
1.8%
리 106
 
1.6%
Other values (493) 4319
65.2%
Decimal Number
ValueCountFrequency (%)
2 4
25.0%
9 3
18.8%
1 3
18.8%
8 3
18.8%
4 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 332
89.7%
' 37
 
10.0%
, 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6624
84.2%
Common 1244
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 590
 
8.9%
나 497
 
7.5%
종 214
 
3.2%
배 173
 
2.6%
재 166
 
2.5%
미 154
 
2.3%
장 145
 
2.2%
화 138
 
2.1%
백 122
 
1.8%
리 106
 
1.6%
Other values (493) 4319
65.2%
Common
ValueCountFrequency (%)
* 332
26.7%
( 291
23.4%
) 291
23.4%
- 230
18.5%
46
 
3.7%
' 37
 
3.0%
2 4
 
0.3%
9 3
 
0.2%
1 3
 
0.2%
8 3
 
0.2%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6624
84.2%
ASCII 1244
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 590
 
8.9%
나 497
 
7.5%
종 214
 
3.2%
배 173
 
2.6%
재 166
 
2.5%
미 154
 
2.3%
장 145
 
2.2%
화 138
 
2.1%
백 122
 
1.8%
리 106
 
1.6%
Other values (493) 4319
65.2%
ASCII
ValueCountFrequency (%)
* 332
26.7%
( 291
23.4%
) 291
23.4%
- 230
18.5%
46
 
3.7%
' 37
 
3.0%
2 4
 
0.3%
9 3
 
0.2%
1 3
 
0.2%
8 3
 
0.2%
Other values (4) 4
 
0.3%

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing3
Missing (%)0.2%
Memory size10.3 KiB

Unnamed: 5
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2002년
537 
2003년
177 
<NA>
161 
2000년
138 
1989년
63 
Other values (17)
222 

Length

Max length5
Median length5
Mean length4.8751926
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row보유년월
2nd row<NA>
3rd row1994년
4th row1994년
5th row2003년

Common Values

ValueCountFrequency (%)
2002년 537
41.4%
2003년 177
 
13.6%
<NA> 161
 
12.4%
2000년 138
 
10.6%
1989년 63
 
4.9%
2014년 44
 
3.4%
2001년 33
 
2.5%
2004년 28
 
2.2%
1994년 24
 
1.8%
1996년 18
 
1.4%
Other values (12) 75
 
5.8%

Length

2024-03-14T08:56:41.576801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2002년 537
41.4%
2003년 177
 
13.6%
na 161
 
12.4%
2000년 138
 
10.6%
1989년 63
 
4.9%
2014년 44
 
3.4%
2001년 33
 
2.5%
2004년 28
 
2.2%
1994년 24
 
1.8%
1996년 18
 
1.4%
Other values (12) 75
 
5.8%

Unnamed: 6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
수집
1126 
자생
158 
분양 (국립수목원)
 
6
자생,수집
 
5
<NA>
 
2

Length

Max length10
Median length2
Mean length2.0531587
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row보유경위
2nd row<NA>
3rd row수집
4th row수집
5th row수집

Common Values

ValueCountFrequency (%)
수집 1126
86.7%
자생 158
 
12.2%
분양 (국립수목원) 6
 
0.5%
자생,수집 5
 
0.4%
<NA> 2
 
0.2%
보유경위 1
 
0.1%

Length

2024-03-14T08:56:41.693117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:41.784714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집 1126
86.3%
자생 158
 
12.1%
분양 6
 
0.5%
국립수목원 6
 
0.5%
자생,수집 5
 
0.4%
na 2
 
0.2%
보유경위 1
 
0.1%

Unnamed: 7
Text

Distinct57
Distinct (%)4.4%
Missing2
Missing (%)0.2%
Memory size10.3 KiB
2024-03-14T08:56:41.920285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.25
Min length2

Characters and Unicode

Total characters2916
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)2.6%

Sample

1st row원산지
2nd row한국
3rd row멕시코
4th row중국
5th row중국
ValueCountFrequency (%)
한국 706
53.6%
일본 224
 
17.0%
중국 125
 
9.5%
프랑스 63
 
4.8%
유럽 44
 
3.3%
독일 40
 
3.0%
미국 26
 
2.0%
북아메리카 18
 
1.4%
아시아 12
 
0.9%
인도 8
 
0.6%
Other values (37) 52
 
3.9%
2024-03-14T08:56:42.170518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 860
29.5%
한 706
24.2%
일 265
 
9.1%
본 225
 
7.7%
중 131
 
4.5%
스 68
 
2.3%
프 66
 
2.3%
랑 64
 
2.2%
아 62
 
2.1%
럽 46
 
1.6%
Other values (60) 423
14.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2869
98.4%
Space Separator 24
 
0.8%
Other Punctuation 23
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 860
30.0%
한 706
24.6%
일 265
 
9.2%
본 225
 
7.8%
중 131
 
4.6%
스 68
 
2.4%
프 66
 
2.3%
랑 64
 
2.2%
아 62
 
2.2%
럽 46
 
1.6%
Other values (58) 376
13.1%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2869
98.4%
Common 47
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 860
30.0%
한 706
24.6%
일 265
 
9.2%
본 225
 
7.8%
중 131
 
4.6%
스 68
 
2.4%
프 66
 
2.3%
랑 64
 
2.2%
아 62
 
2.2%
럽 46
 
1.6%
Other values (58) 376
13.1%
Common
ValueCountFrequency (%)
24
51.1%
, 23
48.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2869
98.4%
ASCII 47
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 860
30.0%
한 706
24.6%
일 265
 
9.2%
본 225
 
7.8%
중 131
 
4.6%
스 68
 
2.4%
프 66
 
2.3%
랑 64
 
2.2%
아 62
 
2.2%
럽 46
 
1.6%
Other values (58) 376
13.1%
ASCII
ValueCountFrequency (%)
24
51.1%
, 23
48.9%

Unnamed: 8
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
완주
591 
천리포수목원
195 
뉴코리아장미
128 
전북산림
96 
미림종묘
 
46
Other values (29)
242 

Length

Max length6
Median length2
Mean length3.4360555
Min length2

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st row산지
2nd row<NA>
3rd row완주
4th row완주
5th row전북산림

Common Values

ValueCountFrequency (%)
완주 591
45.5%
천리포수목원 195
 
15.0%
뉴코리아장미 128
 
9.9%
전북산림 96
 
7.4%
미림종묘 46
 
3.5%
프롬앤 44
 
3.4%
프롬엔 42
 
3.2%
순창 33
 
2.5%
전원생활 23
 
1.8%
천보식물원 16
 
1.2%
Other values (24) 84
 
6.5%

Length

2024-03-14T08:56:42.284995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주 591
45.4%
천리포수목원 195
 
15.0%
뉴코리아장미 128
 
9.8%
전북산림 96
 
7.4%
미림종묘 46
 
3.5%
프롬앤 44
 
3.4%
프롬엔 42
 
3.2%
순창 33
 
2.5%
전원생활 23
 
1.8%
천보식물원 16
 
1.2%
Other values (26) 88
 
6.8%

Unnamed: 9
Text

Distinct99
Distinct (%)7.6%
Missing2
Missing (%)0.2%
Memory size10.3 KiB
2024-03-14T08:56:42.470742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.2114198
Min length2

Characters and Unicode

Total characters5458
Distinct characters75
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)3.6%

Sample

1st row참고사항 (식재위치)
2nd row온실
3rd row온실
4th row테마정원, 표본수원
5th row분재원, 약용수원
ValueCountFrequency (%)
표본수원 443
29.5%
온실 166
 
11.0%
자생 162
 
10.8%
장미원 117
 
7.8%
무궁화원 85
 
5.7%
동백원 60
 
4.0%
목련원 56
 
3.7%
관상수원 51
 
3.4%
묘포장 50
 
3.3%
약용수원 45
 
3.0%
Other values (27) 269
17.9%
2024-03-14T08:56:42.797724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1120
20.5%
수 650
 
11.9%
표 444
 
8.1%
본 444
 
8.1%
221
 
4.0%
, 207
 
3.8%
실 198
 
3.6%
생 178
 
3.3%
장 169
 
3.1%
온 166
 
3.0%
Other values (65) 1661
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5027
92.1%
Space Separator 221
 
4.0%
Other Punctuation 207
 
3.8%
Open Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1120
22.3%
수 650
12.9%
표 444
 
8.8%
본 444
 
8.8%
실 198
 
3.9%
생 178
 
3.5%
장 169
 
3.4%
온 166
 
3.3%
자 162
 
3.2%
미 118
 
2.3%
Other values (60) 1378
27.4%
Space Separator
ValueCountFrequency (%)
221
100.0%
Other Punctuation
ValueCountFrequency (%)
, 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5027
92.1%
Common 431
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1120
22.3%
수 650
12.9%
표 444
 
8.8%
본 444
 
8.8%
실 198
 
3.9%
생 178
 
3.5%
장 169
 
3.4%
온 166
 
3.3%
자 162
 
3.2%
미 118
 
2.3%
Other values (60) 1378
27.4%
Common
ValueCountFrequency (%)
221
51.3%
, 207
48.0%
( 1
 
0.2%
1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5027
92.1%
ASCII 431
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1120
22.3%
수 650
12.9%
표 444
 
8.8%
본 444
 
8.8%
실 198
 
3.9%
생 178
 
3.5%
장 169
 
3.4%
온 166
 
3.3%
자 162
 
3.2%
미 118
 
2.3%
Other values (60) 1378
27.4%
ASCII
ValueCountFrequency (%)
221
51.3%
, 207
48.0%
( 1
 
0.2%
1
 
0.2%
) 1
 
0.2%

Correlations

2024-03-14T08:56:42.882293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
Unnamed: 21.0000.8330.4520.9310.8710.926
Unnamed: 50.8331.0000.9370.8100.9090.945
Unnamed: 60.4520.9371.0000.7860.9180.978
Unnamed: 70.9310.8100.7861.0000.9080.780
Unnamed: 80.8710.9090.9180.9081.0000.974
Unnamed: 90.9260.9450.9780.7800.9741.000
2024-03-14T08:56:42.967922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 6Unnamed: 5Unnamed: 8
Unnamed: 61.0000.8080.722
Unnamed: 50.8081.0000.485
Unnamed: 80.7220.4851.000
2024-03-14T08:56:43.037140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 5Unnamed: 6Unnamed: 8
Unnamed: 51.0000.8080.485
Unnamed: 60.8081.0000.722
Unnamed: 80.4850.7221.000

Missing values

2024-03-14T08:56:39.241711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:56:39.353070image/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.
2024-03-14T08:56:39.496869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대아수목원 보유 식물목록(목본) 90과 250속 532종 1아종 91변종 55품종 3교잡종 608재배종 총 1,290종류Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
0일련\n번호수목유전자원명<NA><NA>수량보유년월보유경위원산지산지참고사항 (식재위치)
1NaN학 명과 명국 명NaN<NA><NA><NA><NA><NA>
21Cycas revoluta Thunb.소철소철211994년수집한국완주온실
32Zamia pumila L.소철멕시코소철11994년수집멕시코완주온실
43Ginkgo spp.은행나무왕방울은행나무*22003년수집중국전북산림테마정원, 표본수원
54Ginkgo biloba L.은행나무은행나무981989년수집중국완주분재원, 약용수원
65Cephalotaxus koreana Nakai주목개비자나무1<NA>자생한국완주자생
76Cephalotaxus koreana var. nana Nak.주목눈개비자나무1<NA>자생한국완주자생
87Taxus spp.주목황금주목(팔방성)*12003년수집한국완주온실, 표본수원
98Taxus baccata 'Aurea'주목황금주목32002년수집한국완주표본수원
대아수목원 보유 식물목록(목본) 90과 250속 532종 1아종 91변종 55품종 3교잡종 608재배종 총 1,290종류Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
12881282Hydrangea macrophylla "Hamburg"범의귀수국 품종 '함부르크'102014년수집유럽프롬앤표본수원
12891283Hydrangea macrophylla "Libelle"범의귀수국 품종 '리벨르'102014년수집유럽프롬앤표본수원
12901284Hydrangea mcarophylla "Alpengluchen"범의귀수국 품종 '알펜그루헨'102014년수집유럽프롬앤표본수원
12911285Lonicera nitida "Lemon Beauty"인동동청괴불나무 '레몬 뷰티'102014년수집유럽프롬앤표본수원
12921286Lonicera nitida "Maigun"인동동청괴불나무 '마이준'102014년수집유럽프롬앤표본수원
12931287Lonicera pileata인동필레아타괴불나무102014년수집유럽프롬앤표본수원
12941288Rosa cannia장미장미속류102014년수집유럽프롬앤표본수원
12951289Rosa rubignosa장미장미속류102014년수집유럽프롬앤표본수원
12961290Stephandra incisa "Crispa"장미국수나무 '크리스파'102014년수집유럽, 아시아프롬앤표본수원
1297NaN* 미동정 식물로 학명이 불분명함.<NA><NA>NaN<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9# duplicates
1Rhododendron spp.진달래철쭉류*2000년수집일본완주온실18
0Hibiscus spp.아욱무궁화류*2000년수집한국전북산림무궁화원4
3<NA><NA><NA>2012년분양 (국립수목원)한국제주도산림생태체험관3
2<NA><NA><NA>2012년분양 (국립수목원)한국전남 홍도산림생태체험관2