Overview

Dataset statistics

Number of variables34
Number of observations391
Missing cells2035
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.7 KiB
Average record size in memory279.3 B

Variable types

Text11
Categorical12
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 서산시 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=68&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109273

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (58.2%)Imbalance
멸종위기등급 is highly imbalanced (53.3%)Imbalance
동물성별 is highly imbalanced (51.0%)Imbalance
발견일시 has 390 (99.7%) missing valuesMissing
접수일시 has 390 (99.7%) missing valuesMissing
이첩 방생 위치 has 241 (61.6%) missing valuesMissing
방생위도 has 245 (62.7%) missing valuesMissing
방생경도 has 245 (62.7%) missing valuesMissing
발견장소상세 has 35 (9.0%) missing valuesMissing
방생위도(TM방생위도) has 244 (62.4%) missing valuesMissing
방생경도(TM방생경도) has 244 (62.4%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 7 (1.8%) zerosZeros
등록체중 has 67 (17.1%) zerosZeros
현재체중 has 69 (17.6%) zerosZeros

Reproduction

Analysis started2024-01-09 21:42:50.799510
Analysis finished2024-01-09 21:42:51.598667
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct391
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:42:51.789875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3519
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)100.0%

Sample

1st row2019-0056
2nd row2019-0063
3rd row2019-1038
4th row2019-1447
5th row2019-1048
ValueCountFrequency (%)
2019-0056 1
 
0.3%
2021-1493 1
 
0.3%
2021-0187 1
 
0.3%
2021-0170 1
 
0.3%
2021-0100 1
 
0.3%
2021-0091 1
 
0.3%
2021-0004 1
 
0.3%
2021-1408 1
 
0.3%
2021-1230 1
 
0.3%
2021-1012 1
 
0.3%
Other values (381) 381
97.4%
2024-01-10T06:42:52.127025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 890
25.3%
2 814
23.1%
1 548
15.6%
- 391
11.1%
9 186
 
5.3%
4 139
 
3.9%
7 123
 
3.5%
6 114
 
3.2%
5 109
 
3.1%
3 107
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3128
88.9%
Dash Punctuation 391
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 890
28.5%
2 814
26.0%
1 548
17.5%
9 186
 
5.9%
4 139
 
4.4%
7 123
 
3.9%
6 114
 
3.6%
5 109
 
3.5%
3 107
 
3.4%
8 98
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 890
25.3%
2 814
23.1%
1 548
15.6%
- 391
11.1%
9 186
 
5.3%
4 139
 
3.9%
7 123
 
3.5%
6 114
 
3.2%
5 109
 
3.1%
3 107
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 890
25.3%
2 814
23.1%
1 548
15.6%
- 391
11.1%
9 186
 
5.3%
4 139
 
3.9%
7 123
 
3.5%
6 114
 
3.2%
5 109
 
3.1%
3 107
 
3.0%

동물국문명
Text

Distinct69
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:42:52.324769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.4398977
Min length1

Characters and Unicode

Total characters1345
Distinct characters107
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)6.6%

Sample

1st row큰고니
2nd row큰고니
3rd row꿩
4th row꿩
5th row괭이갈매기
ValueCountFrequency (%)
고라니 48
 
12.3%
너구리 42
 
10.7%
멧비둘기 30
 
7.7%
독수리 20
 
5.1%
수리부엉이 19
 
4.9%
황조롱이 19
 
4.9%
직박구리 18
 
4.6%
까치 14
 
3.6%
괭이갈매기 13
 
3.3%
흰뺨검둥오리 12
 
3.1%
Other values (59) 156
39.9%
2024-01-10T06:42:52.616339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 130
 
9.7%
기 68
 
5.1%
이 65
 
4.8%
구 62
 
4.6%
새 55
 
4.1%
고 53
 
3.9%
니 53
 
3.9%
라 50
 
3.7%
너 42
 
3.1%
비 39
 
2.9%
Other values (97) 728
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
99.7%
Other Symbol 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 130
 
9.7%
기 68
 
5.1%
이 65
 
4.8%
구 62
 
4.6%
새 55
 
4.1%
고 53
 
4.0%
니 53
 
4.0%
라 50
 
3.7%
너 42
 
3.1%
비 39
 
2.9%
Other values (96) 724
54.0%
Other Symbol
ValueCountFrequency (%)
㉵ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1345
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 130
 
9.7%
기 68
 
5.1%
이 65
 
4.8%
구 62
 
4.6%
새 55
 
4.1%
고 53
 
3.9%
니 53
 
3.9%
라 50
 
3.7%
너 42
 
3.1%
비 39
 
2.9%
Other values (97) 728
54.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1341
99.7%
None 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 130
 
9.7%
기 68
 
5.1%
이 65
 
4.8%
구 62
 
4.6%
새 55
 
4.1%
고 53
 
4.0%
니 53
 
4.0%
라 50
 
3.7%
너 42
 
3.1%
비 39
 
2.9%
Other values (96) 724
54.0%
None
ValueCountFrequency (%)
㉵ 4
100.0%

강
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
조강(Aves)
289 
포유강(Mammalia)
99 
파충강(Reptilia)
 
3

Length

Max length13
Median length8
Mean length9.3043478
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조강(Aves)
2nd row조강(Aves)
3rd row조강(Aves)
4th row조강(Aves)
5th row조강(Aves)

Common Values

ValueCountFrequency (%)
조강(Aves) 289
73.9%
포유강(Mammalia) 99
 
25.3%
파충강(Reptilia) 3
 
0.8%

Length

2024-01-10T06:42:52.719891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:52.799298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 289
73.9%
포유강(mammalia 99
 
25.3%
파충강(reptilia 3
 
0.8%

목
Categorical

Distinct16
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
참새목
84 
매목
59 
식육목
49 
소목
48 
올빼미목
40 
Other values (11)
111 

Length

Max length5
Median length4
Mean length3.0051151
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row기러기목
2nd row기러기목
3rd row닭목
4th row닭목
5th row도요목

Common Values

ValueCountFrequency (%)
참새목 84
21.5%
매목 59
15.1%
식육목 49
12.5%
소목 48
12.3%
올빼미목 40
10.2%
비둘기목 33
 
8.4%
기러기목 28
 
7.2%
도요목 14
 
3.6%
황새목 13
 
3.3%
파랑새목 9
 
2.3%
Other values (6) 14
 
3.6%

Length

2024-01-10T06:42:52.889742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 84
21.5%
매목 59
15.1%
식육목 49
12.5%
소목 48
12.3%
올빼미목 40
10.2%
비둘기목 33
 
8.4%
기러기목 28
 
7.2%
도요목 14
 
3.6%
황새목 13
 
3.3%
파랑새목 9
 
2.3%
Other values (6) 14
 
3.6%

과
Categorical

Distinct34
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
사슴과
48 
개과
42 
올빼미과
40 
수리과
37 
비둘기과
33 
Other values (29)
191 

Length

Max length9
Median length5
Mean length3.3606138
Min length2

Unique

Unique5 ?
Unique (%)1.3%

Sample

1st row오리과
2nd row오리과
3rd row꿩과
4th row꿩과
5th row갈매기과

Common Values

ValueCountFrequency (%)
사슴과 48
12.3%
개과 42
10.7%
올빼미과 40
10.2%
수리과 37
9.5%
비둘기과 33
 
8.4%
오리과 28
 
7.2%
매과 22
 
5.6%
까마귀과 22
 
5.6%
직박구리과 18
 
4.6%
갈매기과 14
 
3.6%
Other values (24) 87
22.3%

Length

2024-01-10T06:42:52.984986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 48
12.3%
개과 42
10.7%
올빼미과 40
10.2%
수리과 37
9.5%
비둘기과 33
 
8.4%
오리과 28
 
7.2%
매과 22
 
5.6%
까마귀과 22
 
5.6%
직박구리과 18
 
4.6%
갈매기과 14
 
3.6%
Other values (24) 87
22.3%

천연기념물
Categorical

IMBALANCE 

Distinct14
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
해당없음
292 
243-1
 
20
323-8
 
19
324-2
 
19
324-6
 
11
Other values (9)
30 

Length

Max length5
Median length4
Mean length4.2429668
Min length3

Unique

Unique4 ?
Unique (%)1.0%

Sample

1st row201-2
2nd row201-2
3rd row해당없음
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 292
74.7%
243-1 20
 
5.1%
323-8 19
 
4.9%
324-2 19
 
4.9%
324-6 11
 
2.8%
324-3 9
 
2.3%
323-1 8
 
2.0%
201-2 4
 
1.0%
323-4 3
 
0.8%
323-7 2
 
0.5%
Other values (4) 4
 
1.0%

Length

2024-01-10T06:42:53.085592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 292
74.7%
243-1 20
 
5.1%
323-8 19
 
4.9%
324-2 19
 
4.9%
324-6 11
 
2.8%
324-3 9
 
2.3%
323-1 8
 
2.0%
201-2 4
 
1.0%
323-4 3
 
0.8%
323-7 2
 
0.5%
Other values (4) 4
 
1.0%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
해당없음
320 
2 급
67 
1 급
 
4

Length

Max length4
Median length4
Mean length3.8184143
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2 급
2nd row2 급
3rd row해당없음
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 320
81.8%
2 급 67
 
17.1%
1 급 4
 
1.0%

Length

2024-01-10T06:42:53.182468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:53.262405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 320
69.3%
급 71
 
15.4%
2 67
 
14.5%
1 4
 
0.9%

야생동물보호협약
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
해당없음
287 
부속서 2종
101 
부속서 1종
 
3

Length

Max length6
Median length4
Mean length4.5319693
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 287
73.4%
부속서 2종 101
 
25.8%
부속서 1종 3
 
0.8%

Length

2024-01-10T06:42:53.351534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:53.437499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 287
58.0%
부속서 104
 
21.0%
2종 101
 
20.4%
1종 3
 
0.6%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing390
Missing (%)99.7%
Memory size3.2 KiB
Minimum2019-01-27 00:00:00
Maximum2019-01-27 00:00:00
2024-01-10T06:42:53.512703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:53.582865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing390
Missing (%)99.7%
Memory size3.2 KiB
Minimum2019-01-27 00:00:00
Maximum2019-01-27 00:00:00
2024-01-10T06:42:53.649679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:53.718996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct275
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2019-01-02 00:00:00
Maximum2021-12-14 00:00:00
2024-01-10T06:42:53.806024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:53.911757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct263
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2019-01-08 00:00:00
Maximum2022-04-28 00:00:00
2024-01-10T06:42:54.045568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:54.183406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
방생
147 
안락사
94 
폐사체
61 
폐사
43 
DOA
43 

Length

Max length3
Median length3
Mean length2.5063939
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이첩
2nd row폐사
3rd row폐사
4th row폐사체
5th row안락사

Common Values

ValueCountFrequency (%)
방생 147
37.6%
안락사 94
24.0%
폐사체 61
15.6%
폐사 43
 
11.0%
DOA 43
 
11.0%
이첩 3
 
0.8%

Length

2024-01-10T06:42:54.306681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:54.424109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 147
37.6%
안락사 94
24.0%
폐사체 61
15.6%
폐사 43
 
11.0%
doa 43
 
11.0%
이첩 3
 
0.8%

이첩 방생 위치
Text

MISSING 

Distinct105
Distinct (%)70.0%
Missing241
Missing (%)61.6%
Memory size3.2 KiB
2024-01-10T06:42:54.679830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length20.853333
Min length8

Characters and Unicode

Total characters3128
Distinct characters144
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)57.3%

Sample

1st rowDMZ철새평화타운
2nd row충청남도 서산시 읍내동 562-14
3rd row충청남도 당진시 대호지면 사성리 238-28
4th row충청남도 아산시 송악면 외암리 595-8
5th row충청남도 서산시 음암면 탑곡리 산 109-2
ValueCountFrequency (%)
충청남도 147
19.3%
서산시 80
 
10.5%
예산군 40
 
5.3%
산 33
 
4.3%
부석면 28
 
3.7%
해미면 20
 
2.6%
대흥면 15
 
2.0%
예산읍 13
 
1.7%
창리 11
 
1.4%
대회리 10
 
1.3%
Other values (219) 364
47.8%
2024-01-10T06:42:55.005215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
631
20.2%
산 190
 
6.1%
도 156
 
5.0%
남 151
 
4.8%
충 148
 
4.7%
청 148
 
4.7%
리 134
 
4.3%
면 116
 
3.7%
1 109
 
3.5%
시 102
 
3.3%
Other values (134) 1243
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1949
62.3%
Space Separator 631
 
20.2%
Decimal Number 468
 
15.0%
Dash Punctuation 76
 
2.4%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 190
 
9.7%
도 156
 
8.0%
남 151
 
7.7%
충 148
 
7.6%
청 148
 
7.6%
리 134
 
6.9%
면 116
 
6.0%
시 102
 
5.2%
서 82
 
4.2%
예 54
 
2.8%
Other values (118) 668
34.3%
Decimal Number
ValueCountFrequency (%)
1 109
23.3%
2 55
11.8%
3 53
11.3%
4 49
10.5%
5 47
10.0%
8 37
 
7.9%
7 34
 
7.3%
9 29
 
6.2%
0 28
 
6.0%
6 27
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
Z 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1949
62.3%
Common 1176
37.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 190
 
9.7%
도 156
 
8.0%
남 151
 
7.7%
충 148
 
7.6%
청 148
 
7.6%
리 134
 
6.9%
면 116
 
6.0%
시 102
 
5.2%
서 82
 
4.2%
예 54
 
2.8%
Other values (118) 668
34.3%
Common
ValueCountFrequency (%)
631
53.7%
1 109
 
9.3%
- 76
 
6.5%
2 55
 
4.7%
3 53
 
4.5%
4 49
 
4.2%
5 47
 
4.0%
8 37
 
3.1%
7 34
 
2.9%
9 29
 
2.5%
Other values (3) 56
 
4.8%
Latin
ValueCountFrequency (%)
M 1
33.3%
Z 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1949
62.3%
ASCII 1179
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
631
53.5%
1 109
 
9.2%
- 76
 
6.4%
2 55
 
4.7%
3 53
 
4.5%
4 49
 
4.2%
5 47
 
4.0%
8 37
 
3.1%
7 34
 
2.9%
9 29
 
2.5%
Other values (6) 59
 
5.0%
Hangul
ValueCountFrequency (%)
산 190
 
9.7%
도 156
 
8.0%
남 151
 
7.7%
충 148
 
7.6%
청 148
 
7.6%
리 134
 
6.9%
면 116
 
6.0%
시 102
 
5.2%
서 82
 
4.2%
예 54
 
2.8%
Other values (118) 668
34.3%

사체처리
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
기타
241 
<NA>
150 

Length

Max length4
Median length2
Mean length2.7672634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 241
61.6%
<NA> 150
38.4%

Length

2024-01-10T06:42:55.118291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:55.203017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 241
61.6%
na 150
38.4%

동물성별
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Unknown
293 
Male
56 
Female
36 
Female(?)
 
4
Male(?)
 
2

Length

Max length9
Median length7
Mean length6.4987212
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnknown
2nd rowUnknown
3rd rowUnknown
4th rowMale
5th rowUnknown

Common Values

ValueCountFrequency (%)
Unknown 293
74.9%
Male 56
 
14.3%
Female 36
 
9.2%
Female(?) 4
 
1.0%
Male(?) 2
 
0.5%

Length

2024-01-10T06:42:55.286902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:55.370041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 293
74.9%
male 58
 
14.8%
female 40
 
10.2%

동물연령
Categorical

Distinct26
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Juvenile
100 
Adult
88 
Unknown
77 
0년0월0일
63 
Nestling
24 
Other values (21)
39 

Length

Max length8
Median length7
Mean length6.6163683
Min length5

Unique

Unique14 ?
Unique (%)3.6%

Sample

1st rowAdult
2nd rowAdult
3rd rowJuvenile
4th rowJuvenile
5th rowAdult

Common Values

ValueCountFrequency (%)
Juvenile 100
25.6%
Adult 88
22.5%
Unknown 77
19.7%
0년0월0일 63
16.1%
Nestling 24
 
6.1%
0년3월0일 9
 
2.3%
0년8월0일 4
 
1.0%
0년1월0일 4
 
1.0%
0년4월0일 2
 
0.5%
0년6월0일 2
 
0.5%
Other values (16) 18
 
4.6%

Length

2024-01-10T06:42:55.465559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
juvenile 100
25.6%
adult 88
22.5%
unknown 77
19.7%
0년0월0일 63
16.1%
nestling 24
 
6.1%
0년3월0일 9
 
2.3%
0년8월0일 4
 
1.0%
0년1월0일 4
 
1.0%
0년10월0일 2
 
0.5%
3년7월0일 2
 
0.5%
Other values (16) 18
 
4.6%

구조위도
Real number (ℝ)

Distinct310
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.680649
Minimum0
Maximum37.005083
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:42:55.568625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.630917
Q136.717097
median36.7735
Q336.799139
95-th percentile36.966098
Maximum37.005083
Range37.005083
Interquartile range (IQR)0.082042

Descriptive statistics

Standard deviation1.8617288
Coefficient of variation (CV)0.050755067
Kurtosis389.34998
Mean36.680649
Median Absolute Deviation (MAD)0.041833
Skewness-19.711192
Sum14342.134
Variance3.4660342
MonotonicityNot monotonic
2024-01-10T06:42:55.682478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.815333 10
 
2.6%
36.622306 9
 
2.3%
36.6955 8
 
2.0%
36.763778 7
 
1.8%
36.785611 7
 
1.8%
36.725611 6
 
1.5%
36.775556 6
 
1.5%
36.776389 4
 
1.0%
36.785556 4
 
1.0%
36.77052800000001 4
 
1.0%
Other values (300) 326
83.4%
ValueCountFrequency (%)
0.0 1
 
0.3%
36.605083 1
 
0.3%
36.621111 1
 
0.3%
36.622306 9
2.3%
36.623389 1
 
0.3%
36.62425 1
 
0.3%
36.625833 1
 
0.3%
36.626194 1
 
0.3%
36.626611 1
 
0.3%
36.627389 1
 
0.3%
ValueCountFrequency (%)
37.005083 1
0.3%
37.004472 1
0.3%
37.004389 1
0.3%
37.004194 2
0.5%
37.00375 1
0.3%
37.00033300000001 1
0.3%
36.9975 1
0.3%
36.997306 1
0.3%
36.993583 1
0.3%
36.992806 1
0.3%

구조경도
Real number (ℝ)

Distinct308
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.13601
Minimum0
Maximum126.64953
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:42:55.798959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.36214
Q1126.42378
median126.45178
Q3126.49587
95-th percentile126.58469
Maximum126.64953
Range126.64953
Interquartile range (IQR)0.072097

Descriptive statistics

Standard deviation6.3956423
Coefficient of variation (CV)0.050704333
Kurtosis390.92271
Mean126.13601
Median Absolute Deviation (MAD)0.035
Skewness-19.770795
Sum49319.181
Variance40.904241
MonotonicityNot monotonic
2024-01-10T06:42:55.908683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.566028 10
 
2.6%
126.38061100000002 9
 
2.3%
126.587417 8
 
2.0%
126.447917 7
 
1.8%
126.452806 6
 
1.5%
126.539667 6
 
1.5%
126.536 6
 
1.5%
126.447111 4
 
1.0%
126.446194 4
 
1.0%
126.36375 3
 
0.8%
Other values (298) 328
83.9%
ValueCountFrequency (%)
0.0 1
0.3%
126.331389 1
0.3%
126.331694 1
0.3%
126.334111 1
0.3%
126.334333 1
0.3%
126.335917 1
0.3%
126.340472 1
0.3%
126.341694 1
0.3%
126.349889 1
0.3%
126.353194 1
0.3%
ValueCountFrequency (%)
126.649528 1
 
0.3%
126.638028 1
 
0.3%
126.63661100000002 1
 
0.3%
126.623111 1
 
0.3%
126.609722 1
 
0.3%
126.608444 1
 
0.3%
126.603056 1
 
0.3%
126.590389 1
 
0.3%
126.588778 1
 
0.3%
126.587417 8
2.0%

구조고도
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.70844
Minimum-9
Maximum188
Zeros7
Zeros (%)1.8%
Negative8
Negative (%)2.0%
Memory size3.6 KiB
2024-01-10T06:42:56.012879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile1.5
Q115
median25
Q343
95-th percentile102.5
Maximum188
Range197
Interquartile range (IQR)28

Descriptive statistics

Standard deviation31.80827
Coefficient of variation (CV)0.94362926
Kurtosis5.9431235
Mean33.70844
Median Absolute Deviation (MAD)14
Skewness2.1699228
Sum13180
Variance1011.7661
MonotonicityNot monotonic
2024-01-10T06:42:56.337106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 21
 
5.4%
20 18
 
4.6%
2 18
 
4.6%
15 15
 
3.8%
28 11
 
2.8%
17 10
 
2.6%
69 10
 
2.6%
6 9
 
2.3%
19 8
 
2.0%
24 8
 
2.0%
Other values (78) 263
67.3%
ValueCountFrequency (%)
-9 1
 
0.3%
-8 1
 
0.3%
-6 1
 
0.3%
-5 1
 
0.3%
-2 2
 
0.5%
-1 2
 
0.5%
0 7
 
1.8%
1 5
 
1.3%
2 18
4.6%
3 3
 
0.8%
ValueCountFrequency (%)
188 1
 
0.3%
181 1
 
0.3%
179 1
 
0.3%
173 1
 
0.3%
142 1
 
0.3%
138 1
 
0.3%
137 8
2.0%
126 2
 
0.5%
123 1
 
0.3%
120 1
 
0.3%

방생위도
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)67.1%
Missing245
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean36.679575
Minimum36.064226
Maximum36.986698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:42:56.453200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064226
5-th percentile36.471474
Q136.630618
median36.674097
Q336.747276
95-th percentile36.850755
Maximum36.986698
Range0.92247181
Interquartile range (IQR)0.11665762

Descriptive statistics

Standard deviation0.12535681
Coefficient of variation (CV)0.003417619
Kurtosis6.5692754
Mean36.679575
Median Absolute Deviation (MAD)0.0494798
Skewness-1.609949
Sum5355.218
Variance0.01571433
MonotonicityNot monotonic
2024-01-10T06:42:56.557065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 8
 
2.0%
36.6956274 8
 
2.0%
36.66022951 7
 
1.8%
36.72602988 5
 
1.3%
36.62106047 5
 
1.3%
36.76564116 4
 
1.0%
36.62801571 4
 
1.0%
36.85075456 3
 
0.8%
36.77705442 2
 
0.5%
36.69051827 2
 
0.5%
Other values (88) 98
 
25.1%
(Missing) 245
62.7%
ValueCountFrequency (%)
36.06422618 1
0.3%
36.12216326 1
0.3%
36.25859263 1
0.3%
36.38364848 1
0.3%
36.39631113 1
0.3%
36.40500963 1
0.3%
36.46109385 1
0.3%
36.4684289 1
0.3%
36.48061028 1
0.3%
36.51186286 1
0.3%
ValueCountFrequency (%)
36.98669799 1
 
0.3%
36.92471354 1
 
0.3%
36.92150628 1
 
0.3%
36.92055892 1
 
0.3%
36.90657838 1
 
0.3%
36.86168466 1
 
0.3%
36.85075456 3
0.8%
36.84937242 1
 
0.3%
36.83633035 1
 
0.3%
36.83523342 1
 
0.3%

방생경도
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)67.1%
Missing245
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean126.62746
Minimum126.24515
Maximum127.35121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:42:56.660720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.24515
5-th percentile126.37811
Q1126.43649
median126.56754
Q3126.82876
95-th percentile127.01261
Maximum127.35121
Range1.1060688
Interquartile range (IQR)0.3922794

Descriptive statistics

Standard deviation0.22609002
Coefficient of variation (CV)0.0017854739
Kurtosis-0.38427402
Mean126.62746
Median Absolute Deviation (MAD)0.1667011
Skewness0.66181788
Sum18487.609
Variance0.051116696
MonotonicityNot monotonic
2024-01-10T06:42:56.773256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.85966609999998 8
 
2.0%
126.5874115 8
 
2.0%
126.812534 7
 
1.8%
126.5405653 5
 
1.3%
126.4236995 5
 
1.3%
126.4749803 4
 
1.0%
126.3781078 4
 
1.0%
126.5746672 3
 
0.8%
126.4874048 2
 
0.5%
126.6465942 2
 
0.5%
Other values (88) 98
 
25.1%
(Missing) 245
62.7%
ValueCountFrequency (%)
126.2451452 2
0.5%
126.331577 1
 
0.3%
126.3354643 1
 
0.3%
126.3598525 2
0.5%
126.3694494 1
 
0.3%
126.3781078 4
1.0%
126.3792582 1
 
0.3%
126.3826569 1
 
0.3%
126.3834354 1
 
0.3%
126.38424209999998 1
 
0.3%
ValueCountFrequency (%)
127.35121399999998 1
0.3%
127.1662675 1
0.3%
127.1448096 1
0.3%
127.1099646 1
0.3%
127.0995629 1
0.3%
127.0963651 1
0.3%
127.0176192 1
0.3%
127.0126067 2
0.5%
127.0089769 1
0.3%
127.0077424 1
0.3%

발견장소상세
Text

MISSING 

Distinct232
Distinct (%)65.2%
Missing35
Missing (%)9.0%
Memory size3.2 KiB
2024-01-10T06:42:57.032018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length8.4297753
Min length1

Characters and Unicode

Total characters3001
Distinct characters304
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

Unique205 ?
Unique (%)57.6%

Sample

1st row석지제 옆 수로
2nd row잠홍천 갈대숲 내부
3rd row서산버드랜드 내
4th row(공림4로 19) 주소지 부근 건물 옆
5th row벌천포해수욕장
ValueCountFrequency (%)
부근 61
 
7.1%
주소지 57
 
6.6%
도로변 33
 
3.8%
앞 31
 
3.6%
농경지 31
 
3.6%
옆 30
 
3.5%
건물 24
 
2.8%
내 24
 
2.8%
방음벽 17
 
2.0%
도로 13
 
1.5%
Other values (320) 540
62.7%
2024-01-10T06:42:57.393818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
17.3%
지 143
 
4.8%
주 106
 
3.5%
로 94
 
3.1%
부 92
 
3.1%
소 88
 
2.9%
근 78
 
2.6%
도 66
 
2.2%
장 47
 
1.6%
변 44
 
1.5%
Other values (294) 1724
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2346
78.2%
Space Separator 519
 
17.3%
Decimal Number 71
 
2.4%
Open Punctuation 21
 
0.7%
Close Punctuation 21
 
0.7%
Uppercase Letter 9
 
0.3%
Other Punctuation 7
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 143
 
6.1%
주 106
 
4.5%
로 94
 
4.0%
부 92
 
3.9%
소 88
 
3.8%
근 78
 
3.3%
도 66
 
2.8%
장 47
 
2.0%
변 44
 
1.9%
수 43
 
1.8%
Other values (268) 1545
65.9%
Decimal Number
ValueCountFrequency (%)
1 17
23.9%
2 12
16.9%
3 11
15.5%
9 7
9.9%
7 7
9.9%
4 6
 
8.5%
6 4
 
5.6%
5 4
 
5.6%
8 2
 
2.8%
0 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
U 2
22.2%
C 2
22.2%
B 2
22.2%
S 1
11.1%
G 1
11.1%
K 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
25.0%
c 1
25.0%
k 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
' 2
 
28.6%
Space Separator
ValueCountFrequency (%)
519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2346
78.2%
Common 642
 
21.4%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 143
 
6.1%
주 106
 
4.5%
로 94
 
4.0%
부 92
 
3.9%
소 88
 
3.8%
근 78
 
3.3%
도 66
 
2.8%
장 47
 
2.0%
변 44
 
1.9%
수 43
 
1.8%
Other values (268) 1545
65.9%
Common
ValueCountFrequency (%)
519
80.8%
( 21
 
3.3%
) 21
 
3.3%
1 17
 
2.6%
2 12
 
1.9%
3 11
 
1.7%
9 7
 
1.1%
7 7
 
1.1%
4 6
 
0.9%
, 5
 
0.8%
Other values (6) 16
 
2.5%
Latin
ValueCountFrequency (%)
U 2
15.4%
C 2
15.4%
B 2
15.4%
S 1
7.7%
G 1
7.7%
i 1
7.7%
c 1
7.7%
k 1
7.7%
e 1
7.7%
K 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2346
78.2%
ASCII 655
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
79.2%
( 21
 
3.2%
) 21
 
3.2%
1 17
 
2.6%
2 12
 
1.8%
3 11
 
1.7%
9 7
 
1.1%
7 7
 
1.1%
4 6
 
0.9%
, 5
 
0.8%
Other values (16) 29
 
4.4%
Hangul
ValueCountFrequency (%)
지 143
 
6.1%
주 106
 
4.5%
로 94
 
4.0%
부 92
 
3.9%
소 88
 
3.8%
근 78
 
3.3%
도 66
 
2.8%
장 47
 
2.0%
변 44
 
1.9%
수 43
 
1.8%
Other values (268) 1545
65.9%

발견주소
Text

Distinct318
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:42:57.708596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.089514
Min length12

Characters and Unicode

Total characters7855
Distinct characters132
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

Unique292 ?
Unique (%)74.7%

Sample

1st row충청남도 서산시 석남동 662-4
2nd row충청남도 서산시 석림동 942
3rd row충청남도 서산시 부석면 창리 5-1
4th row충청남도 서산시 예천동 617-4
5th row충청남도 서산시 대산읍 오지리 317-30
ValueCountFrequency (%)
충청남도 391
21.3%
서산시 391
21.3%
부석면 51
 
2.8%
해미면 45
 
2.5%
대산읍 34
 
1.9%
읍내동 28
 
1.5%
동문동 27
 
1.5%
운산면 26
 
1.4%
산 22
 
1.2%
음암면 21
 
1.1%
Other values (425) 800
43.6%
2024-01-10T06:42:58.126383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1464
18.6%
산 513
 
6.5%
남 409
 
5.2%
도 404
 
5.1%
서 394
 
5.0%
시 393
 
5.0%
충 391
 
5.0%
청 391
 
5.0%
1 293
 
3.7%
- 253
 
3.2%
Other values (122) 2950
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4691
59.7%
Space Separator 1464
 
18.6%
Decimal Number 1447
 
18.4%
Dash Punctuation 253
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 513
10.9%
남 409
 
8.7%
도 404
 
8.6%
서 394
 
8.4%
시 393
 
8.4%
충 391
 
8.3%
청 391
 
8.3%
리 243
 
5.2%
면 224
 
4.8%
동 157
 
3.3%
Other values (110) 1172
25.0%
Decimal Number
ValueCountFrequency (%)
1 293
20.2%
2 185
12.8%
3 159
11.0%
4 155
10.7%
6 145
10.0%
9 115
 
7.9%
5 106
 
7.3%
0 99
 
6.8%
7 99
 
6.8%
8 91
 
6.3%
Space Separator
ValueCountFrequency (%)
1464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4691
59.7%
Common 3164
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 513
10.9%
남 409
 
8.7%
도 404
 
8.6%
서 394
 
8.4%
시 393
 
8.4%
충 391
 
8.3%
청 391
 
8.3%
리 243
 
5.2%
면 224
 
4.8%
동 157
 
3.3%
Other values (110) 1172
25.0%
Common
ValueCountFrequency (%)
1464
46.3%
1 293
 
9.3%
- 253
 
8.0%
2 185
 
5.8%
3 159
 
5.0%
4 155
 
4.9%
6 145
 
4.6%
9 115
 
3.6%
5 106
 
3.4%
0 99
 
3.1%
Other values (2) 190
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4691
59.7%
ASCII 3164
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1464
46.3%
1 293
 
9.3%
- 253
 
8.0%
2 185
 
5.8%
3 159
 
5.0%
4 155
 
4.9%
6 145
 
4.6%
9 115
 
3.6%
5 106
 
3.4%
0 99
 
3.1%
Other values (2) 190
 
6.0%
Hangul
ValueCountFrequency (%)
산 513
10.9%
남 409
 
8.7%
도 404
 
8.6%
서 394
 
8.4%
시 393
 
8.4%
충 391
 
8.3%
청 391
 
8.3%
리 243
 
5.2%
면 224
 
4.8%
동 157
 
3.3%
Other values (110) 1172
25.0%

발견장소특징
Categorical

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
건물옆
202 
도로변
83 
농경지
59 
기타
 
16
강, 바다
 
15
Other values (2)
 
16

Length

Max length5
Median length3
Mean length2.9590793
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강, 바다
2nd row강, 바다
3rd row건물옆
4th row건물옆
5th row강, 바다

Common Values

ValueCountFrequency (%)
건물옆 202
51.7%
도로변 83
21.2%
농경지 59
 
15.1%
기타 16
 
4.1%
강, 바다 15
 
3.8%
숲 14
 
3.6%
전선 2
 
0.5%

Length

2024-01-10T06:42:58.244112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:58.341096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 202
49.8%
도로변 83
20.4%
농경지 59
 
14.5%
기타 16
 
3.9%
강 15
 
3.7%
바다 15
 
3.7%
숲 14
 
3.4%
전선 2
 
0.5%

발생원인
Categorical

Distinct22
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
전선/건물과의 충돌
106 
어미를 잃음(미아)
67 
차량과의 충돌
59 
기생충 중감염
28 
알 수 없는 사고
25 
Other values (17)
106 

Length

Max length12
Median length11
Mean length8.6777494
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row농수로 고립
2nd row기아 및 탈진
3rd row알 수 없는 사고
4th row전선/건물과의 충돌
5th row전선/건물과의 충돌

Common Values

ValueCountFrequency (%)
전선/건물과의 충돌 106
27.1%
어미를 잃음(미아) 67
17.1%
차량과의 충돌 59
15.1%
기생충 중감염 28
 
7.2%
알 수 없는 사고 25
 
6.4%
인공구조물 침입·고립 23
 
5.9%
중독사고(농약) 17
 
4.3%
인공구조물에 얽힘 14
 
3.6%
개, 고양이 공격 11
 
2.8%
기아 및 탈진 8
 
2.0%
Other values (12) 33
 
8.4%

Length

2024-01-10T06:42:58.440146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 165
20.1%
전선/건물과의 106
12.9%
어미를 67
 
8.2%
잃음(미아 67
 
8.2%
차량과의 59
 
7.2%
기생충 28
 
3.4%
중감염 28
 
3.4%
사고 27
 
3.3%
수 25
 
3.1%
없는 25
 
3.1%
Other values (29) 222
27.1%

발생원인 세부사항
Text

Distinct163
Distinct (%)41.8%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2024-01-10T06:42:58.616393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length10.425641
Min length1

Characters and Unicode

Total characters4066
Distinct characters207
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

Unique104 ?
Unique (%)26.7%

Sample

1st row농수로 고립
2nd row기아 및 탈진
3rd row원인파악 불가, 서산버드랜드 방문객이 구조 후 사무소에 전달
4th row건물 유리창과 충돌
5th row전선과의 충돌 추정
ValueCountFrequency (%)
충돌 142
 
12.8%
추정 79
 
7.1%
차량과의 38
 
3.4%
어미를 31
 
2.8%
미아 28
 
2.5%
차량충돌 25
 
2.3%
유리창 25
 
2.3%
유리 24
 
2.2%
사고 24
 
2.2%
구조물 23
 
2.1%
Other values (212) 672
60.5%
2024-01-10T06:42:58.894505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
740
 
18.2%
충 231
 
5.7%
돌 186
 
4.6%
물 101
 
2.5%
고 92
 
2.3%
정 90
 
2.2%
미 88
 
2.2%
추 88
 
2.2%
/ 79
 
1.9%
차 72
 
1.8%
Other values (197) 2299
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3106
76.4%
Space Separator 740
 
18.2%
Other Punctuation 97
 
2.4%
Close Punctuation 59
 
1.5%
Open Punctuation 59
 
1.5%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 231
 
7.4%
돌 186
 
6.0%
물 101
 
3.3%
고 92
 
3.0%
정 90
 
2.9%
미 88
 
2.8%
추 88
 
2.8%
차 72
 
2.3%
구 70
 
2.3%
조 70
 
2.3%
Other values (188) 2018
65.0%
Other Punctuation
ValueCountFrequency (%)
/ 79
81.4%
, 13
 
13.4%
· 4
 
4.1%
. 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Space Separator
ValueCountFrequency (%)
740
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3106
76.4%
Common 960
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 231
 
7.4%
돌 186
 
6.0%
물 101
 
3.3%
고 92
 
3.0%
정 90
 
2.9%
미 88
 
2.8%
추 88
 
2.8%
차 72
 
2.3%
구 70
 
2.3%
조 70
 
2.3%
Other values (188) 2018
65.0%
Common
ValueCountFrequency (%)
740
77.1%
/ 79
 
8.2%
) 59
 
6.1%
( 59
 
6.1%
, 13
 
1.4%
· 4
 
0.4%
2 3
 
0.3%
1 2
 
0.2%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3106
76.4%
ASCII 956
 
23.5%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
740
77.4%
/ 79
 
8.3%
) 59
 
6.2%
( 59
 
6.2%
, 13
 
1.4%
2 3
 
0.3%
1 2
 
0.2%
. 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 231
 
7.4%
돌 186
 
6.0%
물 101
 
3.3%
고 92
 
3.0%
정 90
 
2.9%
미 88
 
2.8%
추 88
 
2.8%
차 72
 
2.3%
구 70
 
2.3%
조 70
 
2.3%
Other values (188) 2018
65.0%
None
ValueCountFrequency (%)
· 4
100.0%

구조위도(TM구조위도)
Text

Distinct310
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:42:59.197533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters3910
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)71.1%

Sample

1st row36 45 36.4
2nd row36 46 23.4
3rd row36 37 50.4
4th row36 46 19.0
5th row36 57 58.7
ValueCountFrequency (%)
36 384
32.7%
46 86
 
7.3%
47 48
 
4.1%
41 33
 
2.8%
45 31
 
2.6%
37 26
 
2.2%
48 26
 
2.2%
42 21
 
1.8%
43 17
 
1.4%
44 14
 
1.2%
Other values (259) 487
41.5%
2024-01-10T06:42:59.579940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
782
20.0%
3 611
15.6%
6 552
14.1%
4 443
11.3%
. 391
10.0%
5 231
 
5.9%
0 209
 
5.3%
2 187
 
4.8%
1 154
 
3.9%
7 140
 
3.6%
Other values (2) 210
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2737
70.0%
Space Separator 782
 
20.0%
Other Punctuation 391
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 611
22.3%
6 552
20.2%
4 443
16.2%
5 231
 
8.4%
0 209
 
7.6%
2 187
 
6.8%
1 154
 
5.6%
7 140
 
5.1%
8 115
 
4.2%
9 95
 
3.5%
Space Separator
ValueCountFrequency (%)
782
100.0%
Other Punctuation
ValueCountFrequency (%)
. 391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
782
20.0%
3 611
15.6%
6 552
14.1%
4 443
11.3%
. 391
10.0%
5 231
 
5.9%
0 209
 
5.3%
2 187
 
4.8%
1 154
 
3.9%
7 140
 
3.6%
Other values (2) 210
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
782
20.0%
3 611
15.6%
6 552
14.1%
4 443
11.3%
. 391
10.0%
5 231
 
5.9%
0 209
 
5.3%
2 187
 
4.8%
1 154
 
3.9%
7 140
 
3.6%
Other values (2) 210
 
5.4%

구조경도(TM구조경도)
Text

Distinct308
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:42:59.877775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters4301
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)69.1%

Sample

1st row126 27 08.0
2nd row126 28 39.4
3rd row126 22 42.3
4th row126 26 02.4
5th row126 20 09.3
ValueCountFrequency (%)
126 390
33.2%
27 75
 
6.4%
26 73
 
6.2%
32 27
 
2.3%
22 24
 
2.0%
25 24
 
2.0%
21 21
 
1.8%
24 21
 
1.8%
28 21
 
1.8%
30 19
 
1.6%
Other values (267) 478
40.8%
2024-01-10T06:43:00.260490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 876
20.4%
782
18.2%
1 566
13.2%
6 542
12.6%
. 391
9.1%
3 263
 
6.1%
5 192
 
4.5%
0 169
 
3.9%
4 163
 
3.8%
7 160
 
3.7%
Other values (2) 197
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3128
72.7%
Space Separator 782
 
18.2%
Other Punctuation 391
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 876
28.0%
1 566
18.1%
6 542
17.3%
3 263
 
8.4%
5 192
 
6.1%
0 169
 
5.4%
4 163
 
5.2%
7 160
 
5.1%
9 110
 
3.5%
8 87
 
2.8%
Space Separator
ValueCountFrequency (%)
782
100.0%
Other Punctuation
ValueCountFrequency (%)
. 391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 876
20.4%
782
18.2%
1 566
13.2%
6 542
12.6%
. 391
9.1%
3 263
 
6.1%
5 192
 
4.5%
0 169
 
3.9%
4 163
 
3.8%
7 160
 
3.7%
Other values (2) 197
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 876
20.4%
782
18.2%
1 566
13.2%
6 542
12.6%
. 391
9.1%
3 263
 
6.1%
5 192
 
4.5%
0 169
 
3.9%
4 163
 
3.8%
7 160
 
3.7%
Other values (2) 197
 
4.6%

방생위도(TM방생위도)
Text

MISSING 

Distinct108
Distinct (%)73.5%
Missing244
Missing (%)62.4%
Memory size3.2 KiB
2024-01-10T06:43:00.490169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1470
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)61.9%

Sample

1st row36 47 25.8
2nd row36 54 26.5
3rd row36 44 17.6
4th row36 48 32.3
5th row36 42 11.3
ValueCountFrequency (%)
36 150
34.0%
37 19
 
4.3%
40 17
 
3.9%
39 14
 
3.2%
41 14
 
3.2%
43 10
 
2.3%
46 10
 
2.3%
43.8 8
 
1.8%
38 7
 
1.6%
42 7
 
1.6%
Other values (117) 185
42.0%
2024-01-10T06:43:00.814004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
20.0%
3 273
18.6%
6 209
14.2%
. 147
10.0%
4 128
8.7%
5 77
 
5.2%
1 70
 
4.8%
0 70
 
4.8%
2 63
 
4.3%
7 58
 
3.9%
Other values (2) 81
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1029
70.0%
Space Separator 294
 
20.0%
Other Punctuation 147
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 273
26.5%
6 209
20.3%
4 128
12.4%
5 77
 
7.5%
1 70
 
6.8%
0 70
 
6.8%
2 63
 
6.1%
7 58
 
5.6%
8 42
 
4.1%
9 39
 
3.8%
Space Separator
ValueCountFrequency (%)
294
100.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
294
20.0%
3 273
18.6%
6 209
14.2%
. 147
10.0%
4 128
8.7%
5 77
 
5.2%
1 70
 
4.8%
0 70
 
4.8%
2 63
 
4.3%
7 58
 
3.9%
Other values (2) 81
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
20.0%
3 273
18.6%
6 209
14.2%
. 147
10.0%
4 128
8.7%
5 77
 
5.2%
1 70
 
4.8%
0 70
 
4.8%
2 63
 
4.3%
7 58
 
3.9%
Other values (2) 81
 
5.5%

방생경도(TM방생경도)
Text

MISSING 

Distinct108
Distinct (%)73.5%
Missing244
Missing (%)62.4%
Memory size3.2 KiB
2024-01-10T06:43:01.053164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1617
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)61.9%

Sample

1st row126 26 43.1
2nd row126 30 38.0
3rd row127 00 28.7
4th row126 32 37.8
5th row126 21 36.2
ValueCountFrequency (%)
126 136
30.8%
51 16
 
3.6%
25 11
 
2.5%
32 11
 
2.5%
127 11
 
2.5%
35 10
 
2.3%
48 9
 
2.0%
22 9
 
2.0%
14.7 8
 
1.8%
23 8
 
1.8%
Other values (130) 212
48.1%
2024-01-10T06:43:01.385604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
18.2%
2 286
17.7%
1 214
13.2%
6 177
10.9%
. 147
9.1%
5 115
 
7.1%
3 93
 
5.8%
4 92
 
5.7%
0 64
 
4.0%
8 60
 
3.7%
Other values (2) 75
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1176
72.7%
Space Separator 294
 
18.2%
Other Punctuation 147
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 286
24.3%
1 214
18.2%
6 177
15.1%
5 115
9.8%
3 93
 
7.9%
4 92
 
7.8%
0 64
 
5.4%
8 60
 
5.1%
7 45
 
3.8%
9 30
 
2.6%
Space Separator
ValueCountFrequency (%)
294
100.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1617
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
294
18.2%
2 286
17.7%
1 214
13.2%
6 177
10.9%
. 147
9.1%
5 115
 
7.1%
3 93
 
5.8%
4 92
 
5.7%
0 64
 
4.0%
8 60
 
3.7%
Other values (2) 75
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1617
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
18.2%
2 286
17.7%
1 214
13.2%
6 177
10.9%
. 147
9.1%
5 115
 
7.1%
3 93
 
5.8%
4 92
 
5.7%
0 64
 
4.0%
8 60
 
3.7%
Other values (2) 75
 
4.6%

등록체중
Real number (ℝ)

ZEROS 

Distinct258
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2470.2839
Minimum0
Maximum19340
Zeros67
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:43:01.504635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median184
Q32702
95-th percentile14550
Maximum19340
Range19340
Interquartile range (IQR)2672

Descriptive statistics

Standard deviation4534.3829
Coefficient of variation (CV)1.8355716
Kurtosis3.8965082
Mean2470.2839
Median Absolute Deviation (MAD)184
Skewness2.184895
Sum965881
Variance20560628
MonotonicityNot monotonic
2024-01-10T06:43:01.612400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
17.1%
31 7
 
1.8%
64 4
 
1.0%
9 4
 
1.0%
16 3
 
0.8%
24 3
 
0.8%
142 3
 
0.8%
164 3
 
0.8%
66 3
 
0.8%
29 3
 
0.8%
Other values (248) 291
74.4%
ValueCountFrequency (%)
0 67
17.1%
6 2
 
0.5%
7 3
 
0.8%
9 4
 
1.0%
10 1
 
0.3%
11 3
 
0.8%
12 2
 
0.5%
14 3
 
0.8%
16 3
 
0.8%
19 2
 
0.5%
ValueCountFrequency (%)
19340 1
0.3%
19320 1
0.3%
19280 1
0.3%
19060 1
0.3%
18380 1
0.3%
18140 1
0.3%
18040 1
0.3%
17740 1
0.3%
17060 1
0.3%
16820 1
0.3%

현재체중
Real number (ℝ)

ZEROS 

Distinct255
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.9412
Minimum0
Maximum19340
Zeros69
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-01-10T06:43:01.730433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.5
median208
Q32750
95-th percentile14550
Maximum19340
Range19340
Interquartile range (IQR)2720.5

Descriptive statistics

Standard deviation4530.1975
Coefficient of variation (CV)1.8113971
Kurtosis3.8538215
Mean2500.9412
Median Absolute Deviation (MAD)208
Skewness2.1703282
Sum977868
Variance20522690
MonotonicityNot monotonic
2024-01-10T06:43:01.845851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
17.6%
453 7
 
1.8%
64 5
 
1.3%
170 4
 
1.0%
14 4
 
1.0%
130 4
 
1.0%
10 3
 
0.8%
9 3
 
0.8%
190 3
 
0.8%
198 3
 
0.8%
Other values (245) 286
73.1%
ValueCountFrequency (%)
0 69
17.6%
6 3
 
0.8%
7 1
 
0.3%
8 1
 
0.3%
9 3
 
0.8%
10 3
 
0.8%
12 1
 
0.3%
14 4
 
1.0%
15 1
 
0.3%
16 3
 
0.8%
ValueCountFrequency (%)
19340 1
0.3%
19320 1
0.3%
19280 1
0.3%
19060 1
0.3%
18380 1
0.3%
18140 1
0.3%
18040 1
0.3%
17740 1
0.3%
17060 1
0.3%
16820 1
0.3%

임상적최종진단
Text

Distinct265
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10T06:43:02.058915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length33
Mean length13.094629
Min length2

Characters and Unicode

Total characters5120
Distinct characters306
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

Unique236 ?
Unique (%)60.4%

Sample

1st row원인불명
2nd row일시적 탈진 개체
3rd row양측 부척골 폐쇄골절
4th row유리창 충돌 개체
5th row우측 상완골 진구성 개방골절, malunion
ValueCountFrequency (%)
및 81
 
5.4%
의한 75
 
5.0%
미아 59
 
3.9%
골절 53
 
3.5%
개체 51
 
3.4%
충돌에 49
 
3.3%
우측 43
 
2.9%
좌측 39
 
2.6%
뇌진탕 32
 
2.1%
단순 31
 
2.1%
Other values (390) 992
65.9%
2024-01-10T06:43:02.389657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1119
 
21.9%
골 200
 
3.9%
충 133
 
2.6%
개 126
 
2.5%
한 119
 
2.3%
절 116
 
2.3%
측 101
 
2.0%
돌 101
 
2.0%
상 97
 
1.9%
의 94
 
1.8%
Other values (296) 2914
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3648
71.2%
Space Separator 1119
 
21.9%
Lowercase Letter 171
 
3.3%
Other Punctuation 57
 
1.1%
Close Punctuation 34
 
0.7%
Open Punctuation 33
 
0.6%
Decimal Number 29
 
0.6%
Uppercase Letter 25
 
0.5%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 200
 
5.5%
충 133
 
3.6%
개 126
 
3.5%
한 119
 
3.3%
절 116
 
3.2%
측 101
 
2.8%
돌 101
 
2.8%
상 97
 
2.7%
의 94
 
2.6%
에 84
 
2.3%
Other values (253) 2477
67.9%
Lowercase Letter
ValueCountFrequency (%)
a 20
11.7%
r 19
11.1%
t 16
 
9.4%
l 15
 
8.8%
e 14
 
8.2%
i 13
 
7.6%
n 9
 
5.3%
o 9
 
5.3%
u 8
 
4.7%
p 7
 
4.1%
Other values (12) 41
24.0%
Decimal Number
ValueCountFrequency (%)
2 14
48.3%
3 5
 
17.2%
6 4
 
13.8%
1 3
 
10.3%
5 1
 
3.4%
4 1
 
3.4%
7 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
L 13
52.0%
R 3
 
12.0%
C 3
 
12.0%
B 2
 
8.0%
T 2
 
8.0%
H 2
 
8.0%
Other Punctuation
ValueCountFrequency (%)
, 33
57.9%
/ 17
29.8%
. 7
 
12.3%
Space Separator
ValueCountFrequency (%)
1119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3648
71.2%
Common 1276
 
24.9%
Latin 196
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 200
 
5.5%
충 133
 
3.6%
개 126
 
3.5%
한 119
 
3.3%
절 116
 
3.2%
측 101
 
2.8%
돌 101
 
2.8%
상 97
 
2.7%
의 94
 
2.6%
에 84
 
2.3%
Other values (253) 2477
67.9%
Latin
ValueCountFrequency (%)
a 20
 
10.2%
r 19
 
9.7%
t 16
 
8.2%
l 15
 
7.7%
e 14
 
7.1%
i 13
 
6.6%
L 13
 
6.6%
n 9
 
4.6%
o 9
 
4.6%
u 8
 
4.1%
Other values (18) 60
30.6%
Common
ValueCountFrequency (%)
1119
87.7%
) 34
 
2.7%
( 33
 
2.6%
, 33
 
2.6%
/ 17
 
1.3%
2 14
 
1.1%
. 7
 
0.5%
3 5
 
0.4%
6 4
 
0.3%
1 3
 
0.2%
Other values (5) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3648
71.2%
ASCII 1472
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1119
76.0%
) 34
 
2.3%
( 33
 
2.2%
, 33
 
2.2%
a 20
 
1.4%
r 19
 
1.3%
/ 17
 
1.2%
t 16
 
1.1%
l 15
 
1.0%
2 14
 
1.0%
Other values (33) 152
 
10.3%
Hangul
ValueCountFrequency (%)
골 200
 
5.5%
충 133
 
3.6%
개 126
 
3.5%
한 119
 
3.3%
절 116
 
3.2%
측 101
 
2.8%
돌 101
 
2.8%
상 97
 
2.7%
의 94
 
2.6%
에 84
 
2.3%
Other values (253) 2477
67.9%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0056큰고니조강(Aves)기러기목오리과201-22 급해당없음2019-01-272019-01-272019-01-272019-03-02이첩DMZ철새평화타운<NA>UnknownAdult36.760111126.4522229<NA><NA>석지제 옆 수로충청남도 서산시 석남동 662-4강, 바다농수로 고립농수로 고립36 45 36.4126 27 08.0<NA><NA>53606800원인불명
12019-0063큰고니조강(Aves)기러기목오리과201-22 급해당없음<NA><NA>2019-01-292019-02-02폐사<NA>기타UnknownAdult36.773167126.47761110<NA><NA>잠홍천 갈대숲 내부충청남도 서산시 석림동 942강, 바다기아 및 탈진기아 및 탈진36 46 23.4126 28 39.4<NA><NA>76007700일시적 탈진 개체
22019-1038꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-07-132019-08-08폐사<NA>기타UnknownJuvenile36.630667126.37841728<NA><NA>서산버드랜드 내충청남도 서산시 부석면 창리 5-1건물옆알 수 없는 사고원인파악 불가, 서산버드랜드 방문객이 구조 후 사무소에 전달36 37 50.4126 22 42.3<NA><NA>222380양측 부척골 폐쇄골절
32019-1447꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-09-242019-09-24폐사체<NA>기타MaleJuvenile36.771944126.43434<NA><NA>(공림4로 19) 주소지 부근 건물 옆충청남도 서산시 예천동 617-4건물옆전선/건물과의 충돌건물 유리창과 충돌36 46 19.0126 26 02.4<NA><NA>11521152유리창 충돌 개체
42019-1048괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-142019-07-14안락사<NA>기타UnknownAdult36.966306126.3359173<NA><NA>벌천포해수욕장충청남도 서산시 대산읍 오지리 317-30강, 바다전선/건물과의 충돌전선과의 충돌 추정36 57 58.7126 20 09.3<NA><NA>424424우측 상완골 진구성 개방골절, malunion
52019-1209괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-282019-08-07안락사<NA>기타UnknownJuvenile36.626194126.3630561<NA><NA>서산B지구 방조재 도로변충청남도 서산시 부석면 창리 338도로변차량과의 충돌차량과의 충돌 추정36 37 34.3126 21 47.0<NA><NA>400386좌측 요골 및 척골 개방골절/좌측 대퇴골 골절
62019-0028물닭조강(Aves)두루미목뜸부기과해당없음해당없음해당없음<NA><NA>2019-01-102019-01-10폐사체<NA>기타UnknownAdult36.662306126.362139-1<NA><NA><NA>충청남도 서산시 부석면 마룡리 925도로변차량과의 충돌차량충돌 추정36 39 44.3126 21 43.7<NA><NA>446446차량충돌 추정 개체
72019-0029물닭조강(Aves)두루미목뜸부기과해당없음해당없음해당없음<NA><NA>2019-01-102019-01-10폐사체<NA>기타UnknownAdult36.662306126.362139-1<NA><NA><NA>충청남도 서산시 부석면 마룡리 925도로변차량과의 충돌차량충돌 추정36 39 44.3126 21 43.7<NA><NA>396396차량충돌 추정 개체
82019-0964큰오색딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음<NA><NA>2019-07-042019-07-31방생충청남도 서산시 읍내동 562-14<NA>FemaleUnknown36.7835126.4450285236.790611126.445397미니스톱 서산부영점충청남도 서산시 읍내동 619-1건물옆전선/건물과의 충돌편의점 유리창 충돌36 47 00.6126 26 42.136 47 25.8126 26 43.1100102충돌에 의한 우측 견갑골 폐쇄골절과 내상(추정)
92019-1354매조강(Aves)매목매과323-71 급부속서 1종<NA><NA>2019-08-292019-08-29폐사체<NA>기타UnknownJuvenile36.676194126.4995832<NA><NA>해미공군부대 내충청남도 서산시 고북면 남정리 1240건물옆총상전투기와 충돌을 피하기 위해 총살36 40 34.3126 29 58.5<NA><NA>00bird strike 방지를 위한 총살
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
3812021-0457너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-04-252021-04-25폐사체<NA>기타Female0년0월0일36.709139126.40347254<NA><NA>주소지 부근 건물 옆충청남도 서산시 부석면 취평리 144-1건물옆기생충 중감염기생충 중감염/개선충 감염36 42 32.9126 24 12.5<NA><NA>41404140개선충 중감염
3822021-0985너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-06-102021-09-08방생충청남도 서산시 부석면 창리 산 2<NA>Male0년1월10일36.778472126.4720832336.629823126.394088서산중앙고등학교 급식실 뒷편충청남도 서산시 동문동 173-2건물옆어미를 잃음(미아)어미를 잃음(미아)36 46 42.5126 28 19.536 37 47.3126 23 38.33522700단순 미아
3832021-1842너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-022021-11-06폐사<NA>기타Unknown0년0월0일36.766126.46105622<NA><NA>주소지 마당충청남도 서산시 남원 2길 18건물옆기생충 중감염기생충 중감염/개선충36 45 57.6126 27 39.8<NA><NA>32003200개선충 중감염
3842021-1935너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-222021-11-25폐사<NA>기타Female0년0월0일36.689056126.42161123<NA><NA>마을 내 도로충청남도 서산시 부석면 지산리 250-7도로변기생충 중감염기생충 중감염/개선충36 41 20.6126 25 17.8<NA><NA>34403440개선충 중감염 및 탈수
3852021-1950너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-252022-03-03방생충청남도 서산시 부석면 마룡리 544-1<NA>Male0년0월0일36.714806126.5010831736.641768126.384242국방과학연구소 서산지부 부대 내충청남도 서산시 해미면 기지2길건물옆기생충 중감염기생충 중감염/개선충 감염36 42 53.3126 30 03.936 38 29.2126 23 05.054607140개선충 중감염
3862021-1973너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-282022-03-15방생충청남도 부여군 부여읍 중정리 52-5<NA>Male0년0월0일36.836611126.4599721336.258593126.938422컨테이너 아래충청남도 서산시 성연면 왕정리 318-2건물옆기생충 중감염기생충 중감염36 50 11.8126 27 35.936 15 31.7126 56 18.337805290개선충중감염, 콧잔등에약간의 찰과상
3872021-1978너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-292021-11-29DOA<NA>기타Female0년0월0일36.781056126.49488933<NA><NA>빌라단지 화단충청남도 서산시 수석순환로 32-28건물옆기생충 중감염기생충 중감염/개선충36 46 51.8126 29 41.6<NA><NA>39003900개선충 중감염
3882021-1986너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-012021-12-04폐사<NA>기타Female0년0월0일36.717361126.53230620<NA><NA>집 뒤편 수로충청남도 서산시 해미면 전천리 319건물옆기생충 중감염기생충 중감염/개선충36 43 02.5126 31 56.3<NA><NA>34603460심각한 탈수 및 개선충 중감염
3892021-0274삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-03-182021-03-18안락사<NA>기타Female0년0월0일36.875083126.4776672<NA><NA>농경지충청남도 서산시 성연면 해성리 531농경지덫덫/창애36 52 30.3126 28 39.6<NA><NA>21002100덫에 의한 우측 요척골 골절
3902021-0436족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-04-222021-04-23DOA<NA>기타Male0년0월0일36.778889126.46502819<NA><NA>주소지 부근 건물 옆충청남도 서산시 동문동 194-8건물옆세균중감염(패혈증)세균중감염 추정36 46 44.0126 27 54.1<NA><NA>6900패혈증 쇼크 추정