Overview

Dataset statistics

Number of variables10
Number of observations1393
Missing cells450
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.0 KiB
Average record size in memory83.1 B

Variable types

Numeric3
Text4
Categorical3

Dataset

Description대아수목원 초본 식물 보유현황(학명 ,과명,국명, 수량 ,보유년월 등)입니다.우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055684/fileData.do

Alerts

일련번호 is highly overall correlated with 보유년월High correlation
보유년월 is highly overall correlated with 일련번호 and 2 other fieldsHigh correlation
보유경위 is highly overall correlated with 참고사항(식재위치)High correlation
산지 is highly overall correlated with 보유년월 and 1 other fieldsHigh correlation
참고사항(식재위치) is highly overall correlated with 보유년월 and 2 other fieldsHigh correlation
보유경위 is highly imbalanced (51.3%)Imbalance
보유년월 has 449 (32.2%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:14:24.399849
Analysis finished2024-03-14 13:14:29.092550
Duration4.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean697
Minimum1
Maximum1393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-03-14T22:14:29.299688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.6
Q1349
median697
Q31045
95-th percentile1323.4
Maximum1393
Range1392
Interquartile range (IQR)696

Descriptive statistics

Standard deviation402.26877
Coefficient of variation (CV)0.57714315
Kurtosis-1.2
Mean697
Median Absolute Deviation (MAD)348
Skewness0
Sum970921
Variance161820.17
MonotonicityStrictly increasing
2024-03-14T22:14:29.921184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
927 1
 
0.1%
935 1
 
0.1%
934 1
 
0.1%
933 1
 
0.1%
932 1
 
0.1%
931 1
 
0.1%
930 1
 
0.1%
929 1
 
0.1%
928 1
 
0.1%
Other values (1383) 1383
99.3%
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 (%)
1393 1
0.1%
1392 1
0.1%
1391 1
0.1%
1390 1
0.1%
1389 1
0.1%
1388 1
0.1%
1387 1
0.1%
1386 1
0.1%
1385 1
0.1%
1384 1
0.1%

학명
Text

Distinct1311
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-14T22:14:31.241316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length26.896626
Min length9

Characters and Unicode

Total characters37467
Distinct characters64
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1273 ?
Unique (%)91.4%

Sample

1st rowLycopodium chinense Chirist.
2nd rowSelaginella involvens (Sw.) Spring
3rd rowSelaginella tamariscina (Beauv.) Spring
4th rowSelaginella rossii (Bak.) Warb.
5th rowEquisetum arvense L.
ValueCountFrequency (%)
spp 333
 
7.0%
iris 182
 
3.8%
l 159
 
3.3%
var 131
 
2.8%
nakai 79
 
1.7%
et 66
 
1.4%
thunb 46
 
1.0%
max 43
 
0.9%
hemerocallis 42
 
0.9%
japonica 39
 
0.8%
Other values (2023) 3632
76.4%
2024-03-14T22:14:33.037692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3931
 
10.5%
a 3652
 
9.7%
i 2953
 
7.9%
s 2230
 
6.0%
e 2225
 
5.9%
r 2112
 
5.6%
n 1638
 
4.4%
o 1622
 
4.3%
l 1562
 
4.2%
u 1378
 
3.7%
Other values (54) 14164
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28132
75.1%
Space Separator 3931
 
10.5%
Uppercase Letter 2927
 
7.8%
Other Punctuation 1870
 
5.0%
Close Punctuation 190
 
0.5%
Open Punctuation 190
 
0.5%
Dash Punctuation 186
 
0.5%
Initial Punctuation 20
 
0.1%
Final Punctuation 20
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3652
13.0%
i 2953
 
10.5%
s 2230
 
7.9%
e 2225
 
7.9%
r 2112
 
7.5%
n 1638
 
5.8%
o 1622
 
5.8%
l 1562
 
5.6%
u 1378
 
4.9%
t 1358
 
4.8%
Other values (16) 7402
26.3%
Uppercase Letter
ValueCountFrequency (%)
L 305
 
10.4%
S 240
 
8.2%
C 239
 
8.2%
A 215
 
7.3%
M 211
 
7.2%
P 205
 
7.0%
I 204
 
7.0%
H 193
 
6.6%
B 156
 
5.3%
T 139
 
4.7%
Other values (16) 820
28.0%
Other Punctuation
ValueCountFrequency (%)
. 1371
73.3%
" 407
 
21.8%
' 89
 
4.8%
& 2
 
0.1%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3931
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 20
100.0%
Final Punctuation
ValueCountFrequency (%)
” 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31059
82.9%
Common 6408
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3652
 
11.8%
i 2953
 
9.5%
s 2230
 
7.2%
e 2225
 
7.2%
r 2112
 
6.8%
n 1638
 
5.3%
o 1622
 
5.2%
l 1562
 
5.0%
u 1378
 
4.4%
t 1358
 
4.4%
Other values (42) 10329
33.3%
Common
ValueCountFrequency (%)
3931
61.3%
. 1371
 
21.4%
" 407
 
6.4%
) 190
 
3.0%
( 190
 
3.0%
- 186
 
2.9%
' 89
 
1.4%
“ 20
 
0.3%
” 20
 
0.3%
& 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37427
99.9%
Punctuation 40
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3931
 
10.5%
a 3652
 
9.8%
i 2953
 
7.9%
s 2230
 
6.0%
e 2225
 
5.9%
r 2112
 
5.6%
n 1638
 
4.4%
o 1622
 
4.3%
l 1562
 
4.2%
u 1378
 
3.7%
Other values (52) 14124
37.7%
Punctuation
ValueCountFrequency (%)
“ 20
50.0%
” 20
50.0%

과명
Text

Distinct116
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-14T22:14:33.966450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4551328
Min length1

Characters and Unicode

Total characters3420
Distinct characters164
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

Unique27 ?
Unique (%)1.9%

Sample

1st row석송
2nd row부처손
3rd row부처손
4th row부처손
5th row속새
ValueCountFrequency (%)
붓꽃 196
 
14.1%
백합 163
 
11.7%
국화 130
 
9.3%
벼 80
 
5.7%
사초 48
 
3.4%
미나리아재비 46
 
3.3%
천남성 43
 
3.1%
꿀풀 39
 
2.8%
돌나물 34
 
2.4%
선인장 29
 
2.1%
Other values (106) 585
42.0%
2024-03-14T22:14:35.254891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
꽃 253
 
7.4%
붓 196
 
5.7%
백 165
 
4.8%
화 164
 
4.8%
합 163
 
4.8%
국 130
 
3.8%
초 113
 
3.3%
풀 95
 
2.8%
리 91
 
2.7%
나 90
 
2.6%
Other values (154) 1960
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3420
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꽃 253
 
7.4%
붓 196
 
5.7%
백 165
 
4.8%
화 164
 
4.8%
합 163
 
4.8%
국 130
 
3.8%
초 113
 
3.3%
풀 95
 
2.8%
리 91
 
2.7%
나 90
 
2.6%
Other values (154) 1960
57.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3420
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꽃 253
 
7.4%
붓 196
 
5.7%
백 165
 
4.8%
화 164
 
4.8%
합 163
 
4.8%
국 130
 
3.8%
초 113
 
3.3%
풀 95
 
2.8%
리 91
 
2.7%
나 90
 
2.6%
Other values (154) 1960
57.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3420
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
꽃 253
 
7.4%
붓 196
 
5.7%
백 165
 
4.8%
화 164
 
4.8%
합 163
 
4.8%
국 130
 
3.8%
초 113
 
3.3%
풀 95
 
2.8%
리 91
 
2.7%
나 90
 
2.6%
Other values (154) 1960
57.3%

국명
Text

Distinct1173
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-14T22:14:36.276550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.1478823
Min length1

Characters and Unicode

Total characters7171
Distinct characters549
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

Unique1162 ?
Unique (%)83.4%

Sample

1st row다람쥐꼬리
2nd row바위손
3rd row부처손
4th row구실사리
5th row쇠뜨기
ValueCountFrequency (%)
품종 219
 
12.5%
붓꽃 91
 
5.2%
붓꽃류 74
 
4.2%
독일 54
 
3.1%
원추리 34
 
1.9%
알리움 12
 
0.7%
백합 9
 
0.5%
필로덴드론 8
 
0.5%
튤립품종 6
 
0.3%
칼라데아 6
 
0.3%
Other values (1205) 1245
70.8%
2024-03-14T22:14:37.761752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
 
5.1%
꽃 283
 
3.9%
리 255
 
3.6%
종 233
 
3.2%
품 228
 
3.2%
붓 180
 
2.5%
아 135
 
1.9%
이 115
 
1.6%
) 112
 
1.6%
( 112
 
1.6%
Other values (539) 5153
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6566
91.6%
Space Separator 365
 
5.1%
Close Punctuation 112
 
1.6%
Open Punctuation 112
 
1.6%
Other Punctuation 8
 
0.1%
Decimal Number 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꽃 283
 
4.3%
리 255
 
3.9%
종 233
 
3.5%
품 228
 
3.5%
붓 180
 
2.7%
아 135
 
2.1%
이 115
 
1.8%
나 111
 
1.7%
사 97
 
1.5%
비 97
 
1.5%
Other values (526) 4832
73.6%
Decimal Number
ValueCountFrequency (%)
7 1
14.3%
4 1
14.3%
6 1
14.3%
3 1
14.3%
5 1
14.3%
2 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
* 3
37.5%
Space Separator
ValueCountFrequency (%)
365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6566
91.6%
Common 605
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꽃 283
 
4.3%
리 255
 
3.9%
종 233
 
3.5%
품 228
 
3.5%
붓 180
 
2.7%
아 135
 
2.1%
이 115
 
1.8%
나 111
 
1.7%
사 97
 
1.5%
비 97
 
1.5%
Other values (526) 4832
73.6%
Common
ValueCountFrequency (%)
365
60.3%
) 112
 
18.5%
( 112
 
18.5%
, 5
 
0.8%
* 3
 
0.5%
7 1
 
0.2%
4 1
 
0.2%
6 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6566
91.6%
ASCII 605
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
60.3%
) 112
 
18.5%
( 112
 
18.5%
, 5
 
0.8%
* 3
 
0.5%
7 1
 
0.2%
4 1
 
0.2%
6 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
Other values (3) 3
 
0.5%
Hangul
ValueCountFrequency (%)
꽃 283
 
4.3%
리 255
 
3.9%
종 233
 
3.5%
품 228
 
3.5%
붓 180
 
2.7%
아 135
 
2.1%
이 115
 
1.8%
나 111
 
1.7%
사 97
 
1.5%
비 97
 
1.5%
Other values (526) 4832
73.6%

수량
Real number (ℝ)

Distinct94
Distinct (%)6.8%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean82.404454
Minimum1
Maximum5100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-03-14T22:14:38.174865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q315
95-th percentile300
Maximum5100
Range5099
Interquartile range (IQR)14

Descriptive statistics

Standard deviation376.75432
Coefficient of variation (CV)4.5720141
Kurtosis80.792257
Mean82.404454
Median Absolute Deviation (MAD)1
Skewness8.2978167
Sum114707
Variance141943.82
MonotonicityNot monotonic
2024-03-14T22:14:38.621958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 672
48.2%
10 170
 
12.2%
3 69
 
5.0%
100 64
 
4.6%
25 51
 
3.7%
2 35
 
2.5%
15 33
 
2.4%
50 30
 
2.2%
5 29
 
2.1%
20 27
 
1.9%
Other values (84) 212
 
15.2%
ValueCountFrequency (%)
1 672
48.2%
2 35
 
2.5%
3 69
 
5.0%
4 13
 
0.9%
5 29
 
2.1%
6 9
 
0.6%
7 5
 
0.4%
8 9
 
0.6%
9 5
 
0.4%
10 170
 
12.2%
ValueCountFrequency (%)
5100 1
0.1%
4380 1
0.1%
4201 1
0.1%
4000 1
0.1%
3901 1
0.1%
3900 1
0.1%
3710 1
0.1%
2880 1
0.1%
2780 1
0.1%
2100 1
0.1%

보유년월
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)1.8%
Missing449
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean2004.6028
Minimum1989
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-03-14T22:14:38.997817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1989
5-th percentile2000
Q12002
median2003
Q32004
95-th percentile2014
Maximum2014
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.623472
Coefficient of variation (CV)0.002306428
Kurtosis0.016202823
Mean2004.6028
Median Absolute Deviation (MAD)1
Skewness0.56999731
Sum1892345
Variance21.376493
MonotonicityNot monotonic
2024-03-14T22:14:39.377228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2003 279
20.0%
2002 229
16.4%
2011 127
 
9.1%
2004 116
 
8.3%
2014 55
 
3.9%
2000 38
 
2.7%
2012 29
 
2.1%
2013 20
 
1.4%
1995 15
 
1.1%
1994 13
 
0.9%
Other values (7) 23
 
1.7%
(Missing) 449
32.2%
ValueCountFrequency (%)
1989 2
 
0.1%
1994 13
 
0.9%
1995 15
 
1.1%
1996 2
 
0.1%
1997 1
 
0.1%
1998 1
 
0.1%
1999 11
 
0.8%
2000 38
 
2.7%
2001 5
 
0.4%
2002 229
16.4%
ValueCountFrequency (%)
2014 55
 
3.9%
2013 20
 
1.4%
2012 29
 
2.1%
2011 127
9.1%
2005 1
 
0.1%
2004 116
8.3%
2003 279
20.0%
2002 229
16.4%
2001 5
 
0.4%
2000 38
 
2.7%

보유경위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
수집
932 
자생
450 
자생,수집
 
10
수집,자생
 
1

Length

Max length5
Median length2
Mean length2.0236899
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row자생
2nd row수집
3rd row자생
4th row자생
5th row자생

Common Values

ValueCountFrequency (%)
수집 932
66.9%
자생 450
32.3%
자생,수집 10
 
0.7%
수집,자생 1
 
0.1%

Length

2024-03-14T22:14:39.794849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:14:40.138345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집 932
66.9%
자생 450
32.3%
자생,수집 10
 
0.7%
수집,자생 1
 
0.1%

원산지
Text

Distinct77
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-14T22:14:40.888437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length2.5613783
Min length2

Characters and Unicode

Total characters3568
Distinct characters97
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

Unique40 ?
Unique (%)2.9%

Sample

1st row한국
2nd row한국
3rd row한국
4th row한국
5th row한국
ValueCountFrequency (%)
한국 904
64.8%
네덜란드 143
 
10.3%
독일 54
 
3.9%
유럽 48
 
3.4%
브라질 24
 
1.7%
북아메리카 22
 
1.6%
멕시코 19
 
1.4%
원예품종 16
 
1.1%
중국 12
 
0.9%
일본 11
 
0.8%
Other values (67) 141
 
10.1%
2024-03-14T22:14:42.059658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 928
26.0%
한 904
25.3%
네 146
 
4.1%
드 144
 
4.0%
덜 143
 
4.0%
란 143
 
4.0%
아 96
 
2.7%
일 71
 
2.0%
카 68
 
1.9%
리 64
 
1.8%
Other values (87) 861
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3549
99.5%
Other Punctuation 18
 
0.5%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 928
26.1%
한 904
25.5%
네 146
 
4.1%
드 144
 
4.1%
덜 143
 
4.0%
란 143
 
4.0%
아 96
 
2.7%
일 71
 
2.0%
카 68
 
1.9%
리 64
 
1.8%
Other values (85) 842
23.7%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3549
99.5%
Common 19
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 928
26.1%
한 904
25.5%
네 146
 
4.1%
드 144
 
4.1%
덜 143
 
4.0%
란 143
 
4.0%
아 96
 
2.7%
일 71
 
2.0%
카 68
 
1.9%
리 64
 
1.8%
Other values (85) 842
23.7%
Common
ValueCountFrequency (%)
, 18
94.7%
1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3549
99.5%
ASCII 19
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 928
26.1%
한 904
25.5%
네 146
 
4.1%
드 144
 
4.1%
덜 143
 
4.0%
란 143
 
4.0%
아 96
 
2.7%
일 71
 
2.0%
카 68
 
1.9%
리 64
 
1.8%
Other values (85) 842
23.7%
ASCII
ValueCountFrequency (%)
, 18
94.7%
1
 
5.3%

산지
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
완주동상
553 
프롬엔
251 
태광식물원
123 
천보식물원
107 
대영농장
75 
Other values (28)
284 

Length

Max length8
Median length6
Mean length3.9949749
Min length2

Unique

Unique11 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
완주동상 553
39.7%
프롬엔 251
18.0%
태광식물원 123
 
8.8%
천보식물원 107
 
7.7%
대영농장 75
 
5.4%
지피식물원 45
 
3.2%
화양 43
 
3.1%
종자은행 38
 
2.7%
대한종묘원 32
 
2.3%
식물초록병원에서 20
 
1.4%
Other values (23) 106
 
7.6%

Length

2024-03-14T22:14:42.492780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주동상 553
39.7%
프롬엔 251
18.0%
태광식물원 123
 
8.8%
천보식물원 107
 
7.7%
대영농장 75
 
5.4%
지피식물원 45
 
3.2%
화양 43
 
3.1%
종자은행 38
 
2.7%
대한종묘원 32
 
2.3%
식물초록병원에서 20
 
1.4%
Other values (23) 106
 
7.6%

참고사항(식재위치)
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
자생
445 
온실
307 
묘포장
218 
풍경뜰
158 
표본수원
81 
Other values (15)
184 

Length

Max length10
Median length2
Mean length2.684135
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row자생
2nd row온실
3rd row자생
4th row자생
5th row자생

Common Values

ValueCountFrequency (%)
자생 445
31.9%
온실 307
22.0%
묘포장 218
15.6%
풍경뜰 158
 
11.3%
표본수원 81
 
5.8%
임도변 58
 
4.2%
아이리스원 54
 
3.9%
수생식물원 23
 
1.7%
열대식물원 15
 
1.1%
희귀식물원 8
 
0.6%
Other values (10) 26
 
1.9%

Length

2024-03-14T22:14:42.929786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자생 445
31.9%
온실 307
22.0%
묘포장 218
15.6%
풍경뜰 158
 
11.3%
표본수원 81
 
5.8%
임도변 58
 
4.2%
아이리스원 54
 
3.9%
수생식물원 23
 
1.6%
열대식물원 15
 
1.1%
희귀식물원 8
 
0.6%
Other values (11) 29
 
2.1%

Interactions

2024-03-14T22:14:27.245253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:25.644165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:26.455432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:27.522926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:25.919569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:26.727298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:27.787090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:26.186487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:14:26.978745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:14:43.192793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호수량보유년월보유경위원산지산지참고사항(식재위치)
일련번호1.0000.1280.7010.4100.7640.7890.796
수량0.1281.0000.0000.1450.0000.5290.624
보유년월0.7010.0001.0000.0000.8310.8940.806
보유경위0.4100.1450.0001.0000.2050.7410.862
원산지0.7640.0000.8310.2051.0000.9130.852
산지0.7890.5290.8940.7410.9131.0000.920
참고사항(식재위치)0.7960.6240.8060.8620.8520.9201.000
2024-03-14T22:14:43.470532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보유경위산지참고사항(식재위치)
보유경위1.0000.4780.582
산지0.4781.0000.522
참고사항(식재위치)0.5820.5221.000
2024-03-14T22:14:43.726966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호수량보유년월보유경위산지참고사항(식재위치)
일련번호1.0000.3580.5370.2560.4170.381
수량0.3581.0000.0750.0930.2240.302
보유년월0.5370.0751.0000.0000.5660.531
보유경위0.2560.0930.0001.0000.4780.582
산지0.4170.2240.5660.4781.0000.522
참고사항(식재위치)0.3810.3020.5310.5820.5221.000

Missing values

2024-03-14T22:14:28.155560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:14:28.637093image/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.
2024-03-14T22:14:28.958065image/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

일련번호학명과명국명수량보유년월보유경위원산지산지참고사항(식재위치)
01Lycopodium chinense Chirist.석송다람쥐꼬리1<NA>자생한국완주동상자생
12Selaginella involvens (Sw.) Spring부처손바위손12001수집한국완주동상온실
23Selaginella tamariscina (Beauv.) Spring부처손부처손1<NA>자생한국완주동상자생
34Selaginella rossii (Bak.) Warb.부처손구실사리1<NA>자생한국완주동상자생
45Equisetum arvense L.속새쇠뜨기1<NA>자생한국완주동상자생
56Equisetum hyemale L.속새속새3812002수집한국천보식물원약용수원
67Botrychium ternatum (Thunb.) Sw.고사리삼고사리삼1<NA>자생한국완주동상자생
78Osmunda japonica Thunb.고비고비2002002수집한국대영농장표본수원
89Osmunda cinnamomea var. fokiensis Copel.고비꿩고비5002003수집한국대영농장암석원
910Adiantum caudatum L.고사리아디안툼 코우다툼202003수집대만,인도프롬엔온실
일련번호학명과명국명수량보유년월보유경위원산지산지참고사항(식재위치)
13831384Iris spp. "Blue Bird Wine"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13841385Iris spp. "Burgemeister"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13851386Iris spp. "Edith Wolford"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13861387Iris spp. "Little Mary Sunshine"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13871388Iris spp. "Man From Rio"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13881389Iris spp. "Mocambo"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13891390Iris spp. "Night Edition Soortecht"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13901391Iris spp. "Silverado"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13911392Iris spp. "Tuxedo"붓꽃독일 붓꽃류 품종102014수집독일종자은행아이리스원
13921393Hypericum x inodorum 'Rheingold'물레나물이노도룸물레나물(품종)102014수집유럽, 아시아프롬앤열대식물원