Overview

Dataset statistics

Number of variables12
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory101.5 B

Variable types

Text8
Categorical4

Dataset

Description경기도 평화누리길 코스별 조류 설명자료
Author경기관광공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=1Q8O0L57FK4ROBIJ677530783693&infSeq=1

Alerts

분류 has unique valuesUnique
서식지유형 has unique valuesUnique
번식지유형 has unique valuesUnique
먹이 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:34:45.107927
Analysis finished2023-12-10 22:34:45.845382
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코스
Text

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:45.922423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.25
Min length9

Characters and Unicode

Total characters222
Distinct characters18
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

Unique0 ?
Unique (%)0.0%

Sample

1st row평화누리길 1코스
2nd row평화누리길 1코스
3rd row평화누리길 2코스
4th row평화누리길 2코스
5th row평화누리길 3코스
ValueCountFrequency (%)
평화누리길 24
50.0%
1코스 2
 
4.2%
2코스 2
 
4.2%
3코스 2
 
4.2%
4코스 2
 
4.2%
5코스 2
 
4.2%
6코스 2
 
4.2%
7코스 2
 
4.2%
8코스 2
 
4.2%
9코스 2
 
4.2%
Other values (3) 6
 
12.5%
2023-12-11T07:34:46.161188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 24
10.8%
화 24
10.8%
누 24
10.8%
리 24
10.8%
길 24
10.8%
24
10.8%
코 24
10.8%
스 24
10.8%
1 10
4.5%
2 4
 
1.8%
Other values (8) 16
7.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
75.7%
Decimal Number 30
 
13.5%
Space Separator 24
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
33.3%
2 4
 
13.3%
3 2
 
6.7%
4 2
 
6.7%
5 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
0 2
 
6.7%
Other Letter
ValueCountFrequency (%)
평 24
14.3%
화 24
14.3%
누 24
14.3%
리 24
14.3%
길 24
14.3%
코 24
14.3%
스 24
14.3%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
75.7%
Common 54
 
24.3%

Most frequent character per script

Common
ValueCountFrequency (%)
24
44.4%
1 10
18.5%
2 4
 
7.4%
3 2
 
3.7%
4 2
 
3.7%
5 2
 
3.7%
6 2
 
3.7%
7 2
 
3.7%
8 2
 
3.7%
9 2
 
3.7%
Hangul
ValueCountFrequency (%)
평 24
14.3%
화 24
14.3%
누 24
14.3%
리 24
14.3%
길 24
14.3%
코 24
14.3%
스 24
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
75.7%
ASCII 54
 
24.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 24
14.3%
화 24
14.3%
누 24
14.3%
리 24
14.3%
길 24
14.3%
코 24
14.3%
스 24
14.3%
ASCII
ValueCountFrequency (%)
24
44.4%
1 10
18.5%
2 4
 
7.4%
3 2
 
3.7%
4 2
 
3.7%
5 2
 
3.7%
6 2
 
3.7%
7 2
 
3.7%
8 2
 
3.7%
9 2
 
3.7%

지역
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
파주시
8 
김포시
6 
연천시
6 
고양시
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 8
33.3%
김포시 6
25.0%
연천시 6
25.0%
고양시 4
16.7%

Length

2023-12-11T07:34:46.262934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:46.548432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 8
33.3%
김포시 6
25.0%
연천시 6
25.0%
고양시 4
16.7%

분류
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:46.736643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20.5
Mean length18.125
Min length13

Characters and Unicode

Total characters435
Distinct characters79
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

Unique24 ?
Unique (%)100.0%

Sample

1st row뻐꾸기목 뻐꾸기과 뻐꾸기속 검은등뻐꾸기
2nd row참새목 직박구리과 직박구리속 직박구리
3rd row도요목 도요과 마도요속 마도요
4th row올빼미목 올빼미과 수리부엉이속 수리부엉이
5th row참새목 찌르레기과 찌르레기속 찌르레기
ValueCountFrequency (%)
참새목 11
 
11.5%
파랑새목 2
 
2.1%
사다새목 2
 
2.1%
오리과 2
 
2.1%
기러기목 2
 
2.1%
되새과 2
 
2.1%
뻐꾸기목 1
 
1.0%
황조롱이 1
 
1.0%
비오리 1
 
1.0%
비오리속 1
 
1.0%
Other values (71) 71
74.0%
2023-12-11T07:34:47.059848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
16.6%
새 36
 
8.3%
목 24
 
5.5%
과 24
 
5.5%
속 24
 
5.5%
리 18
 
4.1%
기 16
 
3.7%
참 11
 
2.5%
미 9
 
2.1%
랑 7
 
1.6%
Other values (69) 194
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
83.4%
Space Separator 72
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
새 36
 
9.9%
목 24
 
6.6%
과 24
 
6.6%
속 24
 
6.6%
리 18
 
5.0%
기 16
 
4.4%
참 11
 
3.0%
미 9
 
2.5%
랑 7
 
1.9%
마 7
 
1.9%
Other values (68) 187
51.5%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
83.4%
Common 72
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
새 36
 
9.9%
목 24
 
6.6%
과 24
 
6.6%
속 24
 
6.6%
리 18
 
5.0%
기 16
 
4.4%
참 11
 
3.0%
미 9
 
2.5%
랑 7
 
1.9%
마 7
 
1.9%
Other values (68) 187
51.5%
Common
ValueCountFrequency (%)
72
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
83.4%
ASCII 72
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
100.0%
Hangul
ValueCountFrequency (%)
새 36
 
9.9%
목 24
 
6.6%
과 24
 
6.6%
속 24
 
6.6%
리 18
 
5.0%
기 16
 
4.4%
참 11
 
3.0%
미 9
 
2.5%
랑 7
 
1.9%
마 7
 
1.9%
Other values (68) 187
51.5%

학명
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:47.247451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20.5
Mean length20.291667
Min length14

Characters and Unicode

Total characters487
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st rowCuculus micropterus
2nd rowMicroscelis amaurotis
3rd rowNumenius arquata
4th rowMicroscelis amaurotis
5th rowSturnus cineraceus
ValueCountFrequency (%)
pallas 3
 
5.2%
microscelis 2
 
3.4%
coccothraustes 2
 
3.4%
l 2
 
3.4%
linnaeus 2
 
3.4%
amaurotis 2
 
3.4%
naumanni 1
 
1.7%
turdus 1
 
1.7%
eurystomus 1
 
1.7%
cuculus 1
 
1.7%
Other values (41) 41
70.7%
2023-12-11T07:34:47.595531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 58
11.9%
s 43
 
8.8%
u 41
 
8.4%
r 37
 
7.6%
34
 
7.0%
i 32
 
6.6%
c 29
 
6.0%
o 28
 
5.7%
n 26
 
5.3%
e 26
 
5.3%
Other values (27) 133
27.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 414
85.0%
Space Separator 34
 
7.0%
Uppercase Letter 33
 
6.8%
Other Punctuation 6
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 58
14.0%
s 43
10.4%
u 41
9.9%
r 37
8.9%
i 32
7.7%
c 29
7.0%
o 28
6.8%
n 26
 
6.3%
e 26
 
6.3%
l 25
 
6.0%
Other values (12) 69
16.7%
Uppercase Letter
ValueCountFrequency (%)
P 6
18.2%
L 5
15.2%
M 5
15.2%
C 4
12.1%
A 2
 
6.1%
S 2
 
6.1%
T 2
 
6.1%
G 2
 
6.1%
O 1
 
3.0%
H 1
 
3.0%
Other values (3) 3
9.1%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 447
91.8%
Common 40
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 58
13.0%
s 43
9.6%
u 41
9.2%
r 37
 
8.3%
i 32
 
7.2%
c 29
 
6.5%
o 28
 
6.3%
n 26
 
5.8%
e 26
 
5.8%
l 25
 
5.6%
Other values (25) 102
22.8%
Common
ValueCountFrequency (%)
34
85.0%
. 6
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 58
11.9%
s 43
 
8.8%
u 41
 
8.4%
r 37
 
7.6%
34
 
7.0%
i 32
 
6.6%
c 29
 
6.0%
o 28
 
5.7%
n 26
 
5.3%
e 26
 
5.3%
Other values (27) 133
27.3%

도래현황
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
텃새
9 
여름철새
8 
겨울철새
6 
나그네새
1 

Length

Max length4
Median length4
Mean length3.25
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row여름철새
2nd row텃새
3rd row나그네새
4th row텃새
5th row여름철새

Common Values

ValueCountFrequency (%)
텃새 9
37.5%
여름철새 8
33.3%
겨울철새 6
25.0%
나그네새 1
 
4.2%

Length

2023-12-11T07:34:47.722141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:47.807636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
텃새 9
37.5%
여름철새 8
33.3%
겨울철새 6
25.0%
나그네새 1
 
4.2%

관찰빈도
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
흔함
15 
흔하지 않음
3 
아주 흔함
3 
드묾
2 
희귀
 
1

Length

Max length6
Median length2
Mean length2.875
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row흔하지 않음
2nd row아주 흔함
3rd row흔함
4th row흔하지 않음
5th row흔함

Common Values

ValueCountFrequency (%)
흔함 15
62.5%
흔하지 않음 3
 
12.5%
아주 흔함 3
 
12.5%
드묾 2
 
8.3%
희귀 1
 
4.2%

Length

2023-12-11T07:34:47.901516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:47.993138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
흔함 18
60.0%
흔하지 3
 
10.0%
않음 3
 
10.0%
아주 3
 
10.0%
드묾 2
 
6.7%
희귀 1
 
3.3%

서식지유형
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:48.153945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.25
Min length2

Characters and Unicode

Total characters294
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row숲속
2nd row나무와 숲이 있는 곳
3rd row갯벌 하구
4th row삼림
5th row농경지나 인가 근처, 공원, 정원
ValueCountFrequency (%)
농경지 7
 
8.5%
하천 6
 
7.3%
호수 4
 
4.9%
등 4
 
4.9%
정원 3
 
3.7%
하구 3
 
3.7%
숲 3
 
3.7%
저수지 2
 
2.4%
강 2
 
2.4%
습지 2
 
2.4%
Other values (39) 46
56.1%
2023-12-11T07:34:48.425164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
19.7%
, 31
 
10.5%
지 17
 
5.8%
경 12
 
4.1%
농 12
 
4.1%
나 10
 
3.4%
하 10
 
3.4%
산 10
 
3.4%
수 8
 
2.7%
이 7
 
2.4%
Other values (55) 119
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
69.4%
Space Separator 58
 
19.7%
Other Punctuation 32
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 17
 
8.3%
경 12
 
5.9%
농 12
 
5.9%
나 10
 
4.9%
하 10
 
4.9%
산 10
 
4.9%
수 8
 
3.9%
이 7
 
3.4%
원 7
 
3.4%
야 6
 
2.9%
Other values (52) 105
51.5%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
· 1
 
3.1%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
69.4%
Common 90
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 17
 
8.3%
경 12
 
5.9%
농 12
 
5.9%
나 10
 
4.9%
하 10
 
4.9%
산 10
 
4.9%
수 8
 
3.9%
이 7
 
3.4%
원 7
 
3.4%
야 6
 
2.9%
Other values (52) 105
51.5%
Common
ValueCountFrequency (%)
58
64.4%
, 31
34.4%
· 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
69.4%
ASCII 89
30.3%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
65.2%
, 31
34.8%
Hangul
ValueCountFrequency (%)
지 17
 
8.3%
경 12
 
5.9%
농 12
 
5.9%
나 10
 
4.9%
하 10
 
4.9%
산 10
 
4.9%
수 8
 
3.9%
이 7
 
3.4%
원 7
 
3.4%
야 6
 
2.9%
Other values (52) 105
51.5%
None
ValueCountFrequency (%)
· 1
100.0%

번식지유형
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:48.611184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length9.7083333
Min length2

Characters and Unicode

Total characters233
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row숲속
2nd row야산이나 숲 가장자리
3rd row초지
4th row암벽, 바위산
5th row나무구멍이나 돌 틈, 기와 밑
ValueCountFrequency (%)
야산 3
 
4.5%
야산이나 3
 
4.5%
호수 3
 
4.5%
등 2
 
3.0%
무인도서 2
 
3.0%
낮은 2
 
3.0%
구릉 2
 
3.0%
틈 2
 
3.0%
삼림 2
 
3.0%
숲속 1
 
1.5%
Other values (44) 44
66.7%
2023-12-11T07:34:48.901419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
18.0%
, 16
 
6.9%
나 13
 
5.6%
지 9
 
3.9%
산 8
 
3.4%
이 7
 
3.0%
야 6
 
2.6%
가 6
 
2.6%
구 6
 
2.6%
수 6
 
2.6%
Other values (67) 114
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
74.7%
Space Separator 42
 
18.0%
Other Punctuation 17
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 13
 
7.5%
지 9
 
5.2%
산 8
 
4.6%
이 7
 
4.0%
야 6
 
3.4%
가 6
 
3.4%
구 6
 
3.4%
수 6
 
3.4%
호 5
 
2.9%
무 5
 
2.9%
Other values (64) 103
59.2%
Other Punctuation
ValueCountFrequency (%)
, 16
94.1%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
74.7%
Common 59
 
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 13
 
7.5%
지 9
 
5.2%
산 8
 
4.6%
이 7
 
4.0%
야 6
 
3.4%
가 6
 
3.4%
구 6
 
3.4%
수 6
 
3.4%
호 5
 
2.9%
무 5
 
2.9%
Other values (64) 103
59.2%
Common
ValueCountFrequency (%)
42
71.2%
, 16
 
27.1%
· 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
74.7%
ASCII 58
 
24.9%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
72.4%
, 16
 
27.6%
Hangul
ValueCountFrequency (%)
나 13
 
7.5%
지 9
 
5.2%
산 8
 
4.6%
이 7
 
4.0%
야 6
 
3.4%
가 6
 
3.4%
구 6
 
3.4%
수 6
 
3.4%
호 5
 
2.9%
무 5
 
2.9%
Other values (64) 103
59.2%
None
ValueCountFrequency (%)
· 1
100.0%

주요종
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
IUCN-LC
17 
IUCN-NT(준위협)
 
1
IUCN-LCCITES-CITES 2급(멸종위기-멸종위기2급천연기념물-제324-2호)
 
1
IUCN-EN(천연기념물-제205-1호멸종위기-멸종위기1급)
 
1
IUCN-LC(멸종위기-멸종위기2급)
 
1
Other values (3)
3 

Length

Max length47
Median length7
Mean length13.583333
Min length7

Unique

Unique7 ?
Unique (%)29.2%

Sample

1st rowIUCN-LC
2nd rowIUCN-LC
3rd rowIUCN-NT(준위협)
4th rowIUCN-LCCITES-CITES 2급(멸종위기-멸종위기2급천연기념물-제324-2호)
5th rowIUCN-LC

Common Values

ValueCountFrequency (%)
IUCN-LC 17
70.8%
IUCN-NT(준위협) 1
 
4.2%
IUCN-LCCITES-CITES 2급(멸종위기-멸종위기2급천연기념물-제324-2호) 1
 
4.2%
IUCN-EN(천연기념물-제205-1호멸종위기-멸종위기1급) 1
 
4.2%
IUCN-LC(멸종위기-멸종위기2급) 1
 
4.2%
서울시 보호 야생 생물 대상종 1
 
4.2%
IUCN-LCCITES-CITES2급(천연기념물-제323-9호) 1
 
4.2%
IUCN-VUCITES-CITES1급(멸종위기-멸종위기2급천연기념물-제203호) 1
 
4.2%

Length

2023-12-11T07:34:49.016035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:49.115058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
iucn-lc 17
58.6%
iucn-nt(준위협 1
 
3.4%
iucn-lccites-cites 1
 
3.4%
2급(멸종위기-멸종위기2급천연기념물-제324-2호 1
 
3.4%
iucn-en(천연기념물-제205-1호멸종위기-멸종위기1급 1
 
3.4%
iucn-lc(멸종위기-멸종위기2급 1
 
3.4%
서울시 1
 
3.4%
보호 1
 
3.4%
야생 1
 
3.4%
생물 1
 
3.4%
Other values (3) 3
 
10.3%

크기
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:49.263126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length23.625
Min length13

Characters and Unicode

Total characters567
Distinct characters24
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row전체길이(L) : 33㎝
2nd row전체길이(L) : 28㎝ / 날개길이(W) : 13㎝
3rd row전체길이(L) : 58㎝ / 날개길이(W) : 30㎝
4th row전체길이(L) : 66㎝ / 날개길이(W) : 45㎝
5th row전체길이(L) : 24㎝
ValueCountFrequency (%)
55
40.7%
전체길이(l 24
17.8%
날개길이(w 16
 
11.9%
33㎝ 3
 
2.2%
14㎝ 3
 
2.2%
8㎝ 2
 
1.5%
27㎝ 2
 
1.5%
90㎝ 2
 
1.5%
24㎝ 2
 
1.5%
30㎝ 2
 
1.5%
Other values (22) 24
17.8%
2023-12-11T07:34:49.523498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
19.8%
길 40
 
7.1%
이 40
 
7.1%
( 40
 
7.1%
) 40
 
7.1%
: 40
 
7.1%
㎝ 40
 
7.1%
전 24
 
4.2%
L 24
 
4.2%
체 24
 
4.2%
Other values (14) 143
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
28.2%
Space Separator 112
19.8%
Decimal Number 79
13.9%
Other Punctuation 56
 
9.9%
Open Punctuation 40
 
7.1%
Close Punctuation 40
 
7.1%
Other Symbol 40
 
7.1%
Uppercase Letter 40
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16
20.3%
2 12
15.2%
1 9
11.4%
4 8
10.1%
8 8
10.1%
7 7
8.9%
0 6
 
7.6%
5 6
 
7.6%
6 5
 
6.3%
9 2
 
2.5%
Other Letter
ValueCountFrequency (%)
길 40
25.0%
이 40
25.0%
전 24
15.0%
체 24
15.0%
날 16
 
10.0%
개 16
 
10.0%
Other Punctuation
ValueCountFrequency (%)
: 40
71.4%
/ 16
 
28.6%
Uppercase Letter
ValueCountFrequency (%)
L 24
60.0%
W 16
40.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Symbol
ValueCountFrequency (%)
㎝ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
64.7%
Hangul 160
28.2%
Latin 40
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
112
30.5%
( 40
 
10.9%
) 40
 
10.9%
: 40
 
10.9%
㎝ 40
 
10.9%
3 16
 
4.4%
/ 16
 
4.4%
2 12
 
3.3%
1 9
 
2.5%
4 8
 
2.2%
Other values (6) 34
 
9.3%
Hangul
ValueCountFrequency (%)
길 40
25.0%
이 40
25.0%
전 24
15.0%
체 24
15.0%
날 16
 
10.0%
개 16
 
10.0%
Latin
ValueCountFrequency (%)
L 24
60.0%
W 16
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
64.7%
Hangul 160
28.2%
CJK Compat 40
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
30.5%
( 40
 
10.9%
) 40
 
10.9%
: 40
 
10.9%
L 24
 
6.5%
W 16
 
4.4%
3 16
 
4.4%
/ 16
 
4.4%
2 12
 
3.3%
1 9
 
2.5%
Other values (7) 42
 
11.4%
Hangul
ValueCountFrequency (%)
길 40
25.0%
이 40
25.0%
전 24
15.0%
체 24
15.0%
날 16
 
10.0%
개 16
 
10.0%
CJK Compat
ValueCountFrequency (%)
㎝ 40
100.0%

생활방식
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:49.718094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15.5
Mean length11.916667
Min length2

Characters and Unicode

Total characters286
Distinct characters58
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

Unique18 ?
Unique (%)75.0%

Sample

1st row단독
2nd row무리(까치를 공격할 때가 있음)
3rd row쌍-수십~수백의 혼성 집단
4th row쌍으로 또는 단독으로 생활
5th row수십 마리~수백 마리씩 큰 무리를 이루어 월동
ValueCountFrequency (%)
또는 8
 
10.1%
생활 8
 
10.1%
쌍으로 7
 
8.9%
쌍 5
 
6.3%
단독으로 4
 
5.1%
다님 3
 
3.8%
집단으로 3
 
3.8%
행동 3
 
3.8%
혼성 3
 
3.8%
다니거나 2
 
2.5%
Other values (28) 33
41.8%
2023-12-11T07:34:49.978346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
19.2%
로 19
 
6.6%
으 17
 
5.9%
쌍 15
 
5.2%
단 14
 
4.9%
리 11
 
3.8%
활 10
 
3.5%
생 10
 
3.5%
집 9
 
3.1%
무 9
 
3.1%
Other values (48) 117
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
76.2%
Space Separator 55
 
19.2%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%
Math Symbol 3
 
1.0%
Dash Punctuation 3
 
1.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 19
 
8.7%
으 17
 
7.8%
쌍 15
 
6.9%
단 14
 
6.4%
리 11
 
5.0%
활 10
 
4.6%
생 10
 
4.6%
집 9
 
4.1%
무 9
 
4.1%
는 8
 
3.7%
Other values (42) 96
44.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
76.2%
Common 68
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 19
 
8.7%
으 17
 
7.8%
쌍 15
 
6.9%
단 14
 
6.4%
리 11
 
5.0%
활 10
 
4.6%
생 10
 
4.6%
집 9
 
4.1%
무 9
 
4.1%
는 8
 
3.7%
Other values (42) 96
44.0%
Common
ValueCountFrequency (%)
55
80.9%
( 3
 
4.4%
) 3
 
4.4%
~ 3
 
4.4%
- 3
 
4.4%
, 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
76.2%
ASCII 68
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
80.9%
( 3
 
4.4%
) 3
 
4.4%
~ 3
 
4.4%
- 3
 
4.4%
, 1
 
1.5%
Hangul
ValueCountFrequency (%)
로 19
 
8.7%
으 17
 
7.8%
쌍 15
 
6.9%
단 14
 
6.4%
리 11
 
5.0%
활 10
 
4.6%
생 10
 
4.6%
집 9
 
4.1%
무 9
 
4.1%
는 8
 
3.7%
Other values (42) 96
44.0%

먹이
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T07:34:50.185111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27.5
Mean length24.541667
Min length2

Characters and Unicode

Total characters589
Distinct characters120
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row주로 곤충류를 사냥함
2nd row곤충, 거미, 꽃의 꿀, 나무 열매 등
3rd row갑각류, 연체동물(조개류), 곤충의 유충 등
4th row멧토끼, 쥐, 꿩, 오리, 개구리, 뱀, 곤충 등
5th row곤충, 지렁이, 개구리, 달팽이, 작은 설치류, 나무열매 등
ValueCountFrequency (%)
등 12
 
7.9%
곤충 11
 
7.2%
거미 6
 
3.9%
씨앗 6
 
3.9%
열매 6
 
3.9%
개구리 5
 
3.3%
물고기 5
 
3.3%
어류 4
 
2.6%
식물의 4
 
2.6%
갑각류 3
 
2.0%
Other values (72) 90
59.2%
2023-12-11T07:34:50.498717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
21.7%
, 77
 
13.1%
충 20
 
3.4%
곤 19
 
3.2%
류 19
 
3.2%
물 18
 
3.1%
등 12
 
2.0%
이 11
 
1.9%
나 11
 
1.9%
식 10
 
1.7%
Other values (110) 264
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
64.7%
Space Separator 128
 
21.7%
Other Punctuation 78
 
13.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 20
 
5.2%
곤 19
 
5.0%
류 19
 
5.0%
물 18
 
4.7%
등 12
 
3.1%
이 11
 
2.9%
나 11
 
2.9%
식 10
 
2.6%
의 9
 
2.4%
무 9
 
2.4%
Other values (105) 243
63.8%
Other Punctuation
ValueCountFrequency (%)
, 77
98.7%
· 1
 
1.3%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
64.7%
Common 208
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 20
 
5.2%
곤 19
 
5.0%
류 19
 
5.0%
물 18
 
4.7%
등 12
 
3.1%
이 11
 
2.9%
나 11
 
2.9%
식 10
 
2.6%
의 9
 
2.4%
무 9
 
2.4%
Other values (105) 243
63.8%
Common
ValueCountFrequency (%)
128
61.5%
, 77
37.0%
( 1
 
0.5%
) 1
 
0.5%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
64.7%
ASCII 207
35.1%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
61.8%
, 77
37.2%
( 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
충 20
 
5.2%
곤 19
 
5.0%
류 19
 
5.0%
물 18
 
4.7%
등 12
 
3.1%
이 11
 
2.9%
나 11
 
2.9%
식 10
 
2.6%
의 9
 
2.4%
무 9
 
2.4%
Other values (105) 243
63.8%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2023-12-11T07:34:50.580707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코스지역분류학명도래현황관찰빈도서식지유형번식지유형주요종크기생활방식먹이
코스1.0001.0001.0000.9350.2760.0001.0001.0000.4260.9350.9321.000
지역1.0001.0001.0001.0000.0000.2111.0001.0000.0000.8520.9491.000
분류1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
학명0.9351.0001.0001.0001.0000.0001.0001.0000.6200.9860.9711.000
도래현황0.2760.0001.0001.0001.0000.0001.0001.0000.8770.8990.8481.000
관찰빈도0.0000.2111.0000.0000.0001.0001.0001.0000.1550.8550.7811.000
서식지유형1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
번식지유형1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주요종0.4260.0001.0000.6200.8770.1551.0001.0001.0001.0000.0001.000
크기0.9350.8521.0000.9860.8990.8551.0001.0001.0001.0000.9481.000
생활방식0.9320.9491.0000.9710.8480.7811.0001.0000.0000.9481.0001.000
먹이1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T07:34:50.682707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주요종관찰빈도지역도래현황
주요종1.0000.0000.0000.493
관찰빈도0.0001.0000.1430.000
지역0.0000.1431.0000.000
도래현황0.4930.0000.0001.000
2023-12-11T07:34:50.751242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역도래현황관찰빈도주요종
지역1.0000.0000.1430.000
도래현황0.0001.0000.0000.493
관찰빈도0.1430.0001.0000.000
주요종0.0000.4930.0001.000

Missing values

2023-12-11T07:34:45.646900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:34:45.783533image/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

코스지역분류학명도래현황관찰빈도서식지유형번식지유형주요종크기생활방식먹이
0평화누리길 1코스김포시뻐꾸기목 뻐꾸기과 뻐꾸기속 검은등뻐꾸기Cuculus micropterus여름철새흔하지 않음숲속숲속IUCN-LC전체길이(L) : 33㎝단독주로 곤충류를 사냥함
1평화누리길 1코스김포시참새목 직박구리과 직박구리속 직박구리Microscelis amaurotis텃새아주 흔함나무와 숲이 있는 곳야산이나 숲 가장자리IUCN-LC전체길이(L) : 28㎝ / 날개길이(W) : 13㎝무리(까치를 공격할 때가 있음)곤충, 거미, 꽃의 꿀, 나무 열매 등
2평화누리길 2코스김포시도요목 도요과 마도요속 마도요Numenius arquata나그네새흔함갯벌 하구초지IUCN-NT(준위협)전체길이(L) : 58㎝ / 날개길이(W) : 30㎝쌍-수십~수백의 혼성 집단갑각류, 연체동물(조개류), 곤충의 유충 등
3평화누리길 2코스김포시올빼미목 올빼미과 수리부엉이속 수리부엉이Microscelis amaurotis텃새흔하지 않음삼림암벽, 바위산IUCN-LCCITES-CITES 2급(멸종위기-멸종위기2급천연기념물-제324-2호)전체길이(L) : 66㎝ / 날개길이(W) : 45㎝쌍으로 또는 단독으로 생활멧토끼, 쥐, 꿩, 오리, 개구리, 뱀, 곤충 등
4평화누리길 3코스김포시참새목 찌르레기과 찌르레기속 찌르레기Sturnus cineraceus여름철새흔함농경지나 인가 근처, 공원, 정원나무구멍이나 돌 틈, 기와 밑IUCN-LC전체길이(L) : 24㎝수십 마리~수백 마리씩 큰 무리를 이루어 월동곤충, 지렁이, 개구리, 달팽이, 작은 설치류, 나무열매 등
5평화누리길 3코스김포시사다새목 왜가리과 왜가리속 중대백로Ardea alba modesta여름철새아주 흔함하천, 호수, 농경지, 습지야산IUCN-LC전체길이(L) : 90㎝ / 날개길이(W) : 42㎝혼성 집단 - 무리어류, 수서무척추동물, 소형척추동물, 거미·곤충 등
6평화누리길 4코스고양시가다랭이잡이목 가마우지과 가마우지속 민물가마우지Phalacrocorax carbo겨울철새흔함바닷가나 강 하구, 내륙 하천절벽, 무인도서IUCN-LC전체길이(L) : 90㎝ / 날개길이(W) : 33㎝집단으로 행동어류
7평화누리길 4코스고양시참새목 되새과 방울새속 방울새Cyperus amuricus Maxim.텃새흔함농경지나 정원 야산이나 구릉농경지나 정원 야산이나 구릉IUCN-LC전체길이(L) : 14㎝쌍 또는 집단(수십~수백)으로 생활식물의 씨앗, 번식기 때는 곤충류
8평화누리길 5코스고양시참새목 딱새과 딱새속 딱새Phoenicurus auroreus텃새흔함산기슭, 마을, 농경지 등마을, 농경지, 산기슭IUCN-LC전체길이(L) : 14㎝ / 날개길이(W) : 7㎝쌍 또는 단독으로 행동거미, 곤충류 및 식물의 씨앗
9평화누리길 5코스고양시사다새목 저어새과 저어새속 저어새Platalea minor여름철새드묾갯벌이나 강 하구무인도서IUCN-EN(천연기념물-제205-1호멸종위기-멸종위기1급)전체길이(L) : 75㎝ / 날개길이(W) : 35㎝집단으로 행동어류, 양서류, 식물 등
코스지역분류학명도래현황관찰빈도서식지유형번식지유형주요종크기생활방식먹이
14평화누리길 8코스파주시매목 매과 매속 황조롱이Falco tinnunculus L.텃새흔함들판, 초원, 숲, 농경지 등묵은둥지, 고층건물 턱 등IUCN-LCCITES-CITES2급(천연기념물-제323-9호)전체길이(L) : 36㎝ / 날개길이(W) : 24㎝쌍으로 또는 단독으로 생활들쥐, 두더지, 풍뎅이, 딱정벌레, 메뚜기, 작은 새
15평화누리길 8코스파주시참새목 까마귀과 어치속 어치Garrulus glandarius Linnaeus.텃새흔함산림, 야산·농경지 주변 숲침엽수림IUCN-LC전체길이(L) : 33㎝쌍으로 또는 집단(수십)으로 생활참나무류의 열매, 설치류, 다른 새의 알이나 새끼, 양서류, 파충류, 물고기, 곡식, 나무
16평화누리길 9코스파주시기러기목 오리과 비오리속 비오리Mergus merganser L.겨울철새흔함강과 하천, 호수, 저수지 등강이나 호수 같은 물가IUCN-LC전체길이(L) : 65㎝ / 날개길이(W) : 27㎝쌍 또는 무리로 생활함물고기, 수서곤충, 갑각류, 개구리 등
17평화누리길 9코스파주시두루미목 두루미과 두루미속 재두루미Grus vipio Pallas.겨울철새흔하지 않음갯벌이나 농경지, 습지호수나 소택지IUCN-VUCITES-CITES1급(멸종위기-멸종위기2급천연기념물-제203호)전체길이(L) : 127㎝ / 날개길이(W) : 57㎝쌍이나 가족 혹은 집단으로 생활함곡식이나 풀씨, 전분이 많은 뿌리, 물고기, 곤충, 개구리, 새우, 게 등
18평화누리길 10코스연천시파랑새목 물총새과 호반새속 호반새Halcyon coromanda여름철새희귀계곡, 하천, 호수가계곡, 호수 주변의 삼림 등IUCN-LC전체길이(L) : 27㎝ / 날개길이(W) : 123㎝쌍 또는 단독으로 다님게, 새우, 도마뱀, 장지뱀, 개구리, 도롱뇽, 물고기, 곤충
19평화누리길 10코스연천시참새목 동고비과 동고비속 동고비Sitta europaea텃새흔함야산, 삼림야산, 삼림IUCN-LC전체길이(L) : 14㎝ / 날개길이(W) : 8㎝쌍 또는 무리지어서 다님거미, 곤충, 씨앗, 열매
20평화누리길 11코스연천시참새목 되새과 콩새속 콩새Coccothraustes coccothraustes겨울철새흔함야산이나 숲 가장자리, 농경지관목이나 덩굴성 나무가지IUCN-LC전체길이(L) : 18㎝쌍으로 다님식물의 씨앗과 열매, 여름철이나 번식기 때는 곤충 등
21평화누리길 11코스연천시참새목 할미새과 할미새속 노랑할미새Motacilla cinerea여름철새드묾강이나 하천 농경지,소택지건물·지붕 틈, 구멍, 바위틈IUCN-LC전체길이(L) : 20㎝ / 날개길이(W): 8㎝혼성 군집형태임곤충, 거미, 식물의 씨앗 등
22평화누리길 12코스연천시참새목 지빠귀과 지빠귀속 노랑지빠귀Turdus naumanni겨울철새흔함농경지, 과수원, 야산 등야산, 관목숲, 낮은 가지IUCN-LC전체길이(L) : 23㎝ / 날개길이(W) : 13㎝쌍으로 다니거나 무리지음지렁이, 거미 또는 곤충류, 소형무척추동물, 열매, 씨앗
23평화누리길 12코스연천시파랑새목 파랑새과 파랑새속 파랑새Eurystomus orientalis여름철새흔함농경지,도시,야산,삼림도시,농경지,썩은 나무구멍IUCN-LC전체길이(L) : 30㎝쌍으로 다니거나 무리지음딱정벌레, 매미, 잠자리, 나비, 나방 등 날아다니는 곤충 등