Overview

Dataset statistics

Number of variables11
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory93.3 B

Variable types

Numeric1
Categorical3
Text6
Boolean1

Dataset

Description국립중앙과학관 홈페이지에 있는 과학학습콘텐츠의 야생화 목록입니다.
Author과학기술정보통신부 국립중앙과학관
URLhttps://www.data.go.kr/data/15067825/fileData.do

Alerts

대분류코드 has constant value ""Constant
공개유무 has constant value ""Constant
고유 아이디 has unique valuesUnique
컨텐츠명 has unique valuesUnique
학명 has unique valuesUnique
추가설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:02:00.619445
Analysis finished2023-12-12 19:02:01.712293
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유 아이디
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1036.7544
Minimum1002
Maximum1065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T04:02:01.797362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1011.8
Q11023
median1037
Q31051
95-th percentile1062.2
Maximum1065
Range63
Interquartile range (IQR)28

Descriptive statistics

Standard deviation17.056922
Coefficient of variation (CV)0.016452231
Kurtosis-1.0141894
Mean1036.7544
Median Absolute Deviation (MAD)14
Skewness-0.1064259
Sum59095
Variance290.9386
MonotonicityNot monotonic
2023-12-13T04:02:01.982943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1020 1
 
1.8%
1038 1
 
1.8%
1003 1
 
1.8%
1017 1
 
1.8%
1011 1
 
1.8%
1012 1
 
1.8%
1015 1
 
1.8%
1018 1
 
1.8%
1021 1
 
1.8%
1024 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1002 1
1.8%
1003 1
1.8%
1011 1
1.8%
1012 1
1.8%
1013 1
1.8%
1014 1
1.8%
1015 1
1.8%
1016 1
1.8%
1017 1
1.8%
1018 1
1.8%
ValueCountFrequency (%)
1065 1
1.8%
1064 1
1.8%
1063 1
1.8%
1062 1
1.8%
1061 1
1.8%
1060 1
1.8%
1059 1
1.8%
1058 1
1.8%
1057 1
1.8%
1056 1
1.8%

대분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
507
57 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row507
2nd row507
3rd row507
4th row507
5th row507

Common Values

ValueCountFrequency (%)
507 57
100.0%

Length

2023-12-13T04:02:02.161019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:02.254330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
507 57
100.0%

중분류코드
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
512
43 
511
11 
509
 
2
510
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row511
2nd row512
3rd row512
4th row512
5th row512

Common Values

ValueCountFrequency (%)
512 43
75.4%
511 11
 
19.3%
509 2
 
3.5%
510 1
 
1.8%

Length

2023-12-13T04:02:02.405415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:02.566400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
512 43
75.4%
511 11
 
19.3%
509 2
 
3.5%
510 1
 
1.8%

컨텐츠명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:02.819698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length3.2631579
Min length1

Characters and Unicode

Total characters186
Distinct characters105
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row벼
2nd row분꽃
3rd row쇠비름
4th row코스모스
5th row해바라기
ValueCountFrequency (%)
벼 1
 
1.7%
꽃며느리밥풀 1
 
1.7%
동백 1
 
1.7%
명아주 1
 
1.7%
강아지풀 1
 
1.7%
고추 1
 
1.7%
도깨비바늘 1
 
1.7%
목화 1
 
1.7%
봉선화 1
 
1.7%
오이 1
 
1.7%
Other values (48) 48
82.8%
2023-12-13T04:02:03.208550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
꽃 10
 
5.4%
나 8
 
4.3%
무 7
 
3.8%
리 5
 
2.7%
풀 5
 
2.7%
비 5
 
2.7%
화 5
 
2.7%
주 4
 
2.2%
수 4
 
2.2%
개 4
 
2.2%
Other values (95) 129
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
98.4%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꽃 10
 
5.5%
나 8
 
4.4%
무 7
 
3.8%
리 5
 
2.7%
풀 5
 
2.7%
비 5
 
2.7%
화 5
 
2.7%
주 4
 
2.2%
수 4
 
2.2%
개 4
 
2.2%
Other values (92) 126
68.9%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
98.4%
Common 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꽃 10
 
5.5%
나 8
 
4.4%
무 7
 
3.8%
리 5
 
2.7%
풀 5
 
2.7%
비 5
 
2.7%
화 5
 
2.7%
주 4
 
2.2%
수 4
 
2.2%
개 4
 
2.2%
Other values (92) 126
68.9%
Common
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
98.4%
ASCII 3
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
꽃 10
 
5.5%
나 8
 
4.4%
무 7
 
3.8%
리 5
 
2.7%
풀 5
 
2.7%
비 5
 
2.7%
화 5
 
2.7%
주 4
 
2.2%
수 4
 
2.2%
개 4
 
2.2%
Other values (92) 126
68.9%
ASCII
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%

분류
Text

Distinct34
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:03.416303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.5087719
Min length2

Characters and Unicode

Total characters200
Distinct characters62
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

Unique23 ?
Unique (%)40.4%

Sample

1st row벼과
2nd row분꽃과
3rd row쇠비름과
4th row국화과
5th row국화과
ValueCountFrequency (%)
국화과 7
 
12.3%
벼과 5
 
8.8%
아욱과 3
 
5.3%
장미과 3
 
5.3%
미나리아재비과 3
 
5.3%
가지과 3
 
5.3%
닭의장풀과 2
 
3.5%
백합과 2
 
3.5%
초롱꽃과 2
 
3.5%
양귀비과 2
 
3.5%
Other values (24) 25
43.9%
2023-12-13T04:02:03.753611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 57
28.5%
화 8
 
4.0%
국 7
 
3.5%
나 7
 
3.5%
비 7
 
3.5%
아 7
 
3.5%
미 6
 
3.0%
꽃 6
 
3.0%
리 5
 
2.5%
장 5
 
2.5%
Other values (52) 85
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 57
28.5%
화 8
 
4.0%
국 7
 
3.5%
나 7
 
3.5%
비 7
 
3.5%
아 7
 
3.5%
미 6
 
3.0%
꽃 6
 
3.0%
리 5
 
2.5%
장 5
 
2.5%
Other values (52) 85
42.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 57
28.5%
화 8
 
4.0%
국 7
 
3.5%
나 7
 
3.5%
비 7
 
3.5%
아 7
 
3.5%
미 6
 
3.0%
꽃 6
 
3.0%
리 5
 
2.5%
장 5
 
2.5%
Other values (52) 85
42.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 57
28.5%
화 8
 
4.0%
국 7
 
3.5%
나 7
 
3.5%
비 7
 
3.5%
아 7
 
3.5%
미 6
 
3.0%
꽃 6
 
3.0%
리 5
 
2.5%
장 5
 
2.5%
Other values (52) 85
42.5%

학명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:04.064918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length36
Mean length24.508772
Min length11

Characters and Unicode

Total characters1397
Distinct characters52
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st rowOryza sativa L.
2nd rowMirabilis jalapa L.
3rd rowPortulaca oleracea L.
4th rowCosmos bipinnatus Cav.
5th rowHelianthus annuus L.
ValueCountFrequency (%)
l 19
 
10.4%
var 5
 
2.7%
et 4
 
2.2%
japonica 3
 
1.6%
annuus 2
 
1.1%
communis 2
 
1.1%
chrysanthemum 2
 
1.1%
rosa 2
 
1.1%
z 2
 
1.1%
s 2
 
1.1%
Other values (140) 140
76.5%
2023-12-13T04:02:04.566334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 141
 
10.1%
126
 
9.0%
i 117
 
8.4%
n 88
 
6.3%
s 88
 
6.3%
u 83
 
5.9%
e 79
 
5.7%
r 70
 
5.0%
o 63
 
4.5%
m 61
 
4.4%
Other values (42) 481
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1098
78.6%
Space Separator 126
 
9.0%
Uppercase Letter 116
 
8.3%
Other Punctuation 44
 
3.1%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 141
12.8%
i 117
10.7%
n 88
 
8.0%
s 88
 
8.0%
u 83
 
7.6%
e 79
 
7.2%
r 70
 
6.4%
o 63
 
5.7%
m 61
 
5.6%
l 54
 
4.9%
Other values (16) 254
23.1%
Uppercase Letter
ValueCountFrequency (%)
L 26
22.4%
C 16
13.8%
P 12
10.3%
M 10
 
8.6%
R 8
 
6.9%
T 7
 
6.0%
S 5
 
4.3%
H 4
 
3.4%
Z 4
 
3.4%
B 3
 
2.6%
Other values (11) 21
18.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1214
86.9%
Common 183
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 141
 
11.6%
i 117
 
9.6%
n 88
 
7.2%
s 88
 
7.2%
u 83
 
6.8%
e 79
 
6.5%
r 70
 
5.8%
o 63
 
5.2%
m 61
 
5.0%
l 54
 
4.4%
Other values (37) 370
30.5%
Common
ValueCountFrequency (%)
126
68.9%
. 44
 
24.0%
) 5
 
2.7%
( 5
 
2.7%
- 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 141
 
10.1%
126
 
9.0%
i 117
 
8.4%
n 88
 
6.3%
s 88
 
6.3%
u 83
 
5.9%
e 79
 
5.7%
r 70
 
5.0%
o 63
 
4.5%
m 61
 
4.4%
Other values (42) 481
34.4%

꽃피는시기
Text

Distinct30
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:04.815877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.0175439
Min length2

Characters and Unicode

Total characters286
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)33.3%

Sample

1st row9월
2nd row6월∼10월
3rd row6월~9월
4th row6월∼10월
5th row8월∼9월
ValueCountFrequency (%)
7월~8월 8
 
13.6%
4월~5월 6
 
10.2%
5월~6월 6
 
10.2%
6월~8월 3
 
5.1%
6월~9월 3
 
5.1%
7월∼8월 3
 
5.1%
6월∼9월 2
 
3.4%
7월~9월 2
 
3.4%
포자기 2
 
3.4%
9월 2
 
3.4%
Other values (19) 22
37.3%
2023-12-13T04:02:05.251093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 108
37.8%
~ 36
 
12.6%
8 22
 
7.7%
5 18
 
6.3%
6 18
 
6.3%
9 16
 
5.6%
7 15
 
5.2%
∼ 15
 
5.2%
1 10
 
3.5%
4 9
 
3.1%
Other values (9) 19
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
40.2%
Other Letter 114
39.9%
Math Symbol 51
17.8%
Space Separator 2
 
0.7%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 22
19.1%
5 18
15.7%
6 18
15.7%
9 16
13.9%
7 15
13.0%
1 10
8.7%
4 9
7.8%
0 5
 
4.3%
3 1
 
0.9%
2 1
 
0.9%
Other Letter
ValueCountFrequency (%)
월 108
94.7%
포 2
 
1.8%
자 2
 
1.8%
기 2
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 36
70.6%
∼ 15
29.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 172
60.1%
Hangul 114
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
~ 36
20.9%
8 22
12.8%
5 18
10.5%
6 18
10.5%
9 16
9.3%
7 15
8.7%
∼ 15
8.7%
1 10
 
5.8%
4 9
 
5.2%
0 5
 
2.9%
Other values (5) 8
 
4.7%
Hangul
ValueCountFrequency (%)
월 108
94.7%
포 2
 
1.8%
자 2
 
1.8%
기 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157
54.9%
Hangul 114
39.9%
Math Operators 15
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 108
94.7%
포 2
 
1.8%
자 2
 
1.8%
기 2
 
1.8%
ASCII
ValueCountFrequency (%)
~ 36
22.9%
8 22
14.0%
5 18
11.5%
6 18
11.5%
9 16
10.2%
7 15
9.6%
1 10
 
6.4%
4 9
 
5.7%
0 5
 
3.2%
2
 
1.3%
Other values (4) 6
 
3.8%
Math Operators
ValueCountFrequency (%)
∼ 15
100.0%

꽃의색깔
Text

Distinct30
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:05.469984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.1403509
Min length2

Characters and Unicode

Total characters293
Distinct characters42
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

Unique22 ?
Unique (%)38.6%

Sample

1st row연두색, 옅은초록
2nd row붉은색, 황색, 백색
3rd row노란색
4th row다양함
5th row노란색
ValueCountFrequency (%)
흰색 16
20.3%
노란색 9
 
11.4%
자주색 6
 
7.6%
붉은색 6
 
7.6%
다양함 5
 
6.3%
황색 4
 
5.1%
백색 3
 
3.8%
연한붉은색 3
 
3.8%
연분홍색 2
 
2.5%
황백색 2
 
2.5%
Other values (21) 23
29.1%
2023-12-13T04:02:05.919751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 73
24.9%
22
 
7.5%
, 19
 
6.5%
흰 16
 
5.5%
은 13
 
4.4%
란 11
 
3.8%
자 11
 
3.8%
붉 11
 
3.8%
노 10
 
3.4%
주 9
 
3.1%
Other values (32) 98
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
82.6%
Space Separator 22
 
7.5%
Other Punctuation 19
 
6.5%
Dash Punctuation 4
 
1.4%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 73
30.2%
흰 16
 
6.6%
은 13
 
5.4%
란 11
 
4.5%
자 11
 
4.5%
붉 11
 
4.5%
노 10
 
4.1%
주 9
 
3.7%
연 8
 
3.3%
황 8
 
3.3%
Other values (27) 72
29.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
82.6%
Common 51
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 73
30.2%
흰 16
 
6.6%
은 13
 
5.4%
란 11
 
4.5%
자 11
 
4.5%
붉 11
 
4.5%
노 10
 
4.1%
주 9
 
3.7%
연 8
 
3.3%
황 8
 
3.3%
Other values (27) 72
29.8%
Common
ValueCountFrequency (%)
22
43.1%
, 19
37.3%
- 4
 
7.8%
) 3
 
5.9%
( 3
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
82.6%
ASCII 51
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 73
30.2%
흰 16
 
6.6%
은 13
 
5.4%
란 11
 
4.5%
자 11
 
4.5%
붉 11
 
4.5%
노 10
 
4.1%
주 9
 
3.7%
연 8
 
3.3%
황 8
 
3.3%
Other values (27) 72
29.8%
ASCII
ValueCountFrequency (%)
22
43.1%
, 19
37.3%
- 4
 
7.8%
) 3
 
5.9%
( 3
 
5.9%

추가설명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:06.314369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length13.017544
Min length6

Characters and Unicode

Total characters742
Distinct characters234
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row우리에게 쌀밥을 주는 벼
2nd row저녁밥 지을 시간을 알려주었던 분꽃
3rd row다섯가지 기운을 가진 오행초
4th row수줍음을 타는 소녀
5th row태양처럼 뜨거운 감정을 대변하는 영혼의 꽃
ValueCountFrequency (%)
꽃 15
 
7.2%
풀 3
 
1.4%
아름다운 3
 
1.4%
마음 3
 
1.4%
좋아하는 2
 
1.0%
품은 2
 
1.0%
담은 2
 
1.0%
사랑을 2
 
1.0%
싶은 2
 
1.0%
식물 2
 
1.0%
Other values (168) 171
82.6%
2023-12-13T04:02:06.845460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
20.2%
는 25
 
3.4%
을 23
 
3.1%
꽃 20
 
2.7%
리 14
 
1.9%
가 13
 
1.8%
에 12
 
1.6%
의 11
 
1.5%
아 11
 
1.5%
하 11
 
1.5%
Other values (224) 452
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
78.2%
Space Separator 150
 
20.2%
Lowercase Letter 8
 
1.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
는 25
 
4.3%
을 23
 
4.0%
꽃 20
 
3.4%
리 14
 
2.4%
가 13
 
2.2%
에 12
 
2.1%
의 11
 
1.9%
아 11
 
1.9%
하 11
 
1.9%
다 11
 
1.9%
Other values (213) 429
74.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
25.0%
e 2
25.0%
o 1
12.5%
v 1
12.5%
a 1
12.5%
l 1
12.5%
Space Separator
ValueCountFrequency (%)
150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
78.2%
Common 153
 
20.6%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
는 25
 
4.3%
을 23
 
4.0%
꽃 20
 
3.4%
리 14
 
2.4%
가 13
 
2.2%
에 12
 
2.1%
의 11
 
1.9%
아 11
 
1.9%
하 11
 
1.9%
다 11
 
1.9%
Other values (213) 429
74.0%
Latin
ValueCountFrequency (%)
p 2
22.2%
e 2
22.2%
L 1
11.1%
o 1
11.1%
v 1
11.1%
a 1
11.1%
l 1
11.1%
Common
ValueCountFrequency (%)
150
98.0%
( 1
 
0.7%
) 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
78.2%
ASCII 162
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
92.6%
p 2
 
1.2%
e 2
 
1.2%
( 1
 
0.6%
) 1
 
0.6%
L 1
 
0.6%
o 1
 
0.6%
v 1
 
0.6%
a 1
 
0.6%
l 1
 
0.6%
Hangul
ValueCountFrequency (%)
는 25
 
4.3%
을 23
 
4.0%
꽃 20
 
3.4%
리 14
 
2.4%
가 13
 
2.2%
에 12
 
2.1%
의 11
 
1.9%
아 11
 
1.9%
하 11
 
1.9%
다 11
 
1.9%
Other values (213) 429
74.0%

감수자
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
김정래 교사
21 
배광석 교사
18 
유은상 교사
10 
이병설
8 

Length

Max length6
Median length6
Mean length5.5789474
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김정래 교사
2nd row배광석 교사
3rd row유은상 교사
4th row배광석 교사
5th row배광석 교사

Common Values

ValueCountFrequency (%)
김정래 교사 21
36.8%
배광석 교사 18
31.6%
유은상 교사 10
17.5%
이병설 8
 
14.0%

Length

2023-12-13T04:02:07.018692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:07.142071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교사 49
46.2%
김정래 21
19.8%
배광석 18
 
17.0%
유은상 10
 
9.4%
이병설 8
 
7.5%

공개유무
Boolean

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size189.0 B
True
57 
ValueCountFrequency (%)
True 57
100.0%
2023-12-13T04:02:07.252226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T04:02:01.288697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:02:07.327688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 아이디중분류코드컨텐츠명분류학명꽃피는시기꽃의색깔추가설명감수자
고유 아이디1.0000.1981.0000.7261.0000.8000.5901.0000.524
중분류코드0.1981.0001.0001.0001.0000.6720.9861.0000.198
컨텐츠명1.0001.0001.0001.0001.0001.0001.0001.0001.000
분류0.7261.0001.0001.0001.0000.0000.8341.0000.718
학명1.0001.0001.0001.0001.0001.0001.0001.0001.000
꽃피는시기0.8000.6721.0000.0001.0001.0000.0001.0000.806
꽃의색깔0.5900.9861.0000.8341.0000.0001.0001.0000.505
추가설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
감수자0.5240.1981.0000.7181.0000.8060.5051.0001.000
2023-12-13T04:02:07.473667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감수자중분류코드
감수자1.0000.073
중분류코드0.0731.000
2023-12-13T04:02:07.568879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 아이디중분류코드감수자
고유 아이디1.0000.1190.283
중분류코드0.1191.0000.073
감수자0.2830.0731.000

Missing values

2023-12-13T04:02:01.453749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:02:01.640600image/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

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