Overview

Dataset statistics

Number of variables34
Number of observations332
Missing cells1833
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.6 KiB
Average record size in memory279.4 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 홍성군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=69&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109284

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (70.7%)Imbalance
멸종위기등급 is highly imbalanced (69.4%)Imbalance
야생동물보호협약 is highly imbalanced (59.6%)Imbalance
발견일시 has 331 (99.7%) missing valuesMissing
접수일시 has 331 (99.7%) missing valuesMissing
이첩 방생 위치 has 228 (68.7%) missing valuesMissing
방생위도 has 231 (69.6%) missing valuesMissing
방생경도 has 231 (69.6%) missing valuesMissing
발견장소상세 has 25 (7.5%) missing valuesMissing
방생위도(TM방생위도) has 227 (68.4%) missing valuesMissing
방생경도(TM방생경도) has 227 (68.4%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 81 (24.4%) zerosZeros
현재체중 has 81 (24.4%) zerosZeros

Reproduction

Analysis started2024-01-09 21:08:45.374263
Analysis finished2024-01-09 21:08:46.167805
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T06:08:46.408616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters2988
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

Unique332 ?
Unique (%)100.0%

Sample

1st row2019-0052
2nd row2019-0154
3rd row2019-0490
4th row2019-0697
5th row2019-0965
ValueCountFrequency (%)
2019-0052 1
 
0.3%
2021-0129 1
 
0.3%
2021-1347 1
 
0.3%
2021-1286 1
 
0.3%
2021-0233 1
 
0.3%
2021-1621 1
 
0.3%
2021-1942 1
 
0.3%
2021-0325 1
 
0.3%
2021-0816 1
 
0.3%
2021-0815 1
 
0.3%
Other values (322) 322
97.0%
2024-01-10T06:08:46.828857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 670
22.4%
2 654
21.9%
1 551
18.4%
- 332
11.1%
9 212
 
7.1%
5 111
 
3.7%
7 103
 
3.4%
3 97
 
3.2%
4 93
 
3.1%
8 85
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2656
88.9%
Dash Punctuation 332
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 670
25.2%
2 654
24.6%
1 551
20.7%
9 212
 
8.0%
5 111
 
4.2%
7 103
 
3.9%
3 97
 
3.7%
4 93
 
3.5%
8 85
 
3.2%
6 80
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2988
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 670
22.4%
2 654
21.9%
1 551
18.4%
- 332
11.1%
9 212
 
7.1%
5 111
 
3.7%
7 103
 
3.4%
3 97
 
3.2%
4 93
 
3.1%
8 85
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 670
22.4%
2 654
21.9%
1 551
18.4%
- 332
11.1%
9 212
 
7.1%
5 111
 
3.7%
7 103
 
3.4%
3 97
 
3.2%
4 93
 
3.1%
8 85
 
2.8%

동물국문명
Categorical

Distinct46
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
고라니
79 
참새
40 
너구리
40 
멧비둘기
19 
박새
18 
Other values (41)
136 

Length

Max length14
Median length8
Mean length3.1807229
Min length1

Unique

Unique19 ?
Unique (%)5.7%

Sample

1st row큰기러기
2nd row괭이갈매기
3rd row알락도요
4th row황조롱이
5th row황조롱이

Common Values

ValueCountFrequency (%)
고라니 79
23.8%
참새 40
12.0%
너구리 40
12.0%
멧비둘기 19
 
5.7%
박새 18
 
5.4%
딱새 12
 
3.6%
황조롱이 10
 
3.0%
수리부엉이 9
 
2.7%
직박구리 9
 
2.7%
흰뺨검둥오리 9
 
2.7%
Other values (36) 87
26.2%

Length

2024-01-10T06:08:46.964512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 79
23.8%
너구리 40
12.0%
참새 40
12.0%
멧비둘기 19
 
5.7%
박새 18
 
5.4%
딱새 12
 
3.6%
황조롱이 10
 
3.0%
수리부엉이 9
 
2.7%
직박구리 9
 
2.7%
흰뺨검둥오리 9
 
2.7%
Other values (36) 87
26.2%

강
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
조강(Aves)
203 
포유강(Mammalia)
129 

Length

Max length13
Median length8
Mean length9.9427711
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) 203
61.1%
포유강(Mammalia) 129
38.9%

Length

2024-01-10T06:08:47.087821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:47.197016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 203
61.1%
포유강(mammalia 129
38.9%

목
Categorical

Distinct13
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
참새목
97 
소목
79 
식육목
44 
매목
23 
비둘기목
23 
Other values (8)
66 

Length

Max length5
Median length4
Mean length2.9246988
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 97
29.2%
소목 79
23.8%
식육목 44
13.3%
매목 23
 
6.9%
비둘기목 23
 
6.9%
기러기목 18
 
5.4%
올빼미목 18
 
5.4%
황새목 7
 
2.1%
파랑새목 7
 
2.1%
딱다구리목 6
 
1.8%
Other values (3) 10
 
3.0%

Length

2024-01-10T06:08:47.299443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 97
29.2%
소목 79
23.8%
식육목 44
13.3%
매목 23
 
6.9%
비둘기목 23
 
6.9%
기러기목 18
 
5.4%
올빼미목 18
 
5.4%
황새목 7
 
2.1%
파랑새목 7
 
2.1%
딱다구리목 6
 
1.8%
Other values (3) 10
 
3.0%

과
Categorical

Distinct25
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
사슴과
79 
개과
40 
참새과
40 
비둘기과
23 
오리과
18 
Other values (20)
132 

Length

Max length9
Median length3
Mean length3.2981928
Min length2

Unique

Unique5 ?
Unique (%)1.5%

Sample

1st row오리과
2nd row갈매기과
3rd row도요과
4th row매과
5th row매과

Common Values

ValueCountFrequency (%)
사슴과 79
23.8%
개과 40
12.0%
참새과 40
12.0%
비둘기과 23
 
6.9%
오리과 18
 
5.4%
올빼미과 18
 
5.4%
박새과 18
 
5.4%
솔딱새과 12
 
3.6%
매과 12
 
3.6%
까마귀과 12
 
3.6%
Other values (15) 60
18.1%

Length

2024-01-10T06:08:47.416477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 79
23.8%
개과 40
12.0%
참새과 40
12.0%
비둘기과 23
 
6.9%
오리과 18
 
5.4%
올빼미과 18
 
5.4%
박새과 18
 
5.4%
솔딱새과 12
 
3.6%
매과 12
 
3.6%
까마귀과 12
 
3.6%
Other values (15) 60
18.1%

천연기념물
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
해당없음
284 
323-8
 
10
324-2
 
9
243-1
 
6
324-3
 
5
Other values (7)
 
18

Length

Max length5
Median length4
Mean length4.0963855
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row323-8
5th row323-8

Common Values

ValueCountFrequency (%)
해당없음 284
85.5%
323-8 10
 
3.0%
324-2 9
 
2.7%
243-1 6
 
1.8%
324-3 5
 
1.5%
323-1 4
 
1.2%
324-6 4
 
1.2%
327 4
 
1.2%
330 3
 
0.9%
452 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-01-10T06:08:47.536107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 284
85.5%
323-8 10
 
3.0%
324-2 9
 
2.7%
243-1 6
 
1.8%
324-3 5
 
1.5%
323-1 4
 
1.2%
324-6 4
 
1.2%
327 4
 
1.2%
330 3
 
0.9%
452 1
 
0.3%
Other values (2) 2
 
0.6%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
해당없음
303 
2 급
 
24
1 급
 
5

Length

Max length4
Median length4
Mean length3.9126506
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 303
91.3%
2 급 24
 
7.2%
1 급 5
 
1.5%

Length

2024-01-10T06:08:47.672495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:47.793707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 303
83.9%
급 29
 
8.0%
2 24
 
6.6%
1 5
 
1.4%

야생동물보호협약
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
해당없음
287 
부속서 2종
40 
부속서 1종
 
5

Length

Max length6
Median length4
Mean length4.2710843
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 287
86.4%
부속서 2종 40
 
12.0%
부속서 1종 5
 
1.5%

Length

2024-01-10T06:08:47.925852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:48.039312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 287
76.1%
부속서 45
 
11.9%
2종 40
 
10.6%
1종 5
 
1.3%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing331
Missing (%)99.7%
Memory size2.7 KiB
Minimum2019-01-25 00:00:00
Maximum2019-01-25 00:00:00
2024-01-10T06:08:48.116809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:08:48.199923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing331
Missing (%)99.7%
Memory size2.7 KiB
Minimum2019-01-25 00:00:00
Maximum2019-01-25 00:00:00
2024-01-10T06:08:48.281608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:08:48.365144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct218
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2019-01-01 00:00:00
Maximum2021-12-31 00:00:00
2024-01-10T06:08:48.472420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:08:48.834836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct227
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2019-01-02 00:00:00
Maximum2022-03-25 00:00:00
2024-01-10T06:08:48.952560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:08:49.066570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
방생
105 
안락사
75 
폐사체
70 
DOA
51 
폐사
31 

Length

Max length3
Median length3
Mean length2.5903614
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안락사
2nd row안락사
3rd rowDOA
4th row폐사
5th row안락사

Common Values

ValueCountFrequency (%)
방생 105
31.6%
안락사 75
22.6%
폐사체 70
21.1%
DOA 51
15.4%
폐사 31
 
9.3%

Length

2024-01-10T06:08:49.174220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:49.264805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 105
31.6%
안락사 75
22.6%
폐사체 70
21.1%
doa 51
15.4%
폐사 31
 
9.3%

이첩 방생 위치
Text

MISSING 

Distinct71
Distinct (%)68.3%
Missing228
Missing (%)68.7%
Memory size2.7 KiB
2024-01-10T06:08:49.548753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.211538
Min length18

Characters and Unicode

Total characters2206
Distinct characters106
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

Unique59 ?
Unique (%)56.7%

Sample

1st row충청남도 예산군 덕산면 상가리 10-1
2nd row충청남도 예산군 예산읍 주교리 488-7
3rd row충청남도 예산군 대흥면 갈신리 1
4th row충청남도 예산군 예산읍 산성리 275-56
5th row충청남도 예산군 오가면 신장리 970
ValueCountFrequency (%)
충청남도 104
18.9%
예산군 41
 
7.5%
홍성군 33
 
6.0%
산 31
 
5.6%
예산읍 21
 
3.8%
서산시 16
 
2.9%
부석면 14
 
2.5%
홍북읍 13
 
2.4%
대회리 13
 
2.4%
신경리 12
 
2.2%
Other values (148) 252
45.8%
2024-01-10T06:08:50.005205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
20.9%
산 133
 
6.0%
도 107
 
4.9%
충 104
 
4.7%
남 104
 
4.7%
리 104
 
4.7%
청 104
 
4.7%
군 75
 
3.4%
1 63
 
2.9%
예 62
 
2.8%
Other values (96) 888
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1378
62.5%
Space Separator 462
 
20.9%
Decimal Number 318
 
14.4%
Dash Punctuation 48
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 133
 
9.7%
도 107
 
7.8%
충 104
 
7.5%
남 104
 
7.5%
리 104
 
7.5%
청 104
 
7.5%
군 75
 
5.4%
예 62
 
4.5%
홍 58
 
4.2%
면 56
 
4.1%
Other values (84) 471
34.2%
Decimal Number
ValueCountFrequency (%)
1 63
19.8%
3 45
14.2%
2 39
12.3%
5 39
12.3%
4 37
11.6%
7 31
9.7%
6 19
 
6.0%
9 18
 
5.7%
8 17
 
5.3%
0 10
 
3.1%
Space Separator
ValueCountFrequency (%)
462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1378
62.5%
Common 828
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 133
 
9.7%
도 107
 
7.8%
충 104
 
7.5%
남 104
 
7.5%
리 104
 
7.5%
청 104
 
7.5%
군 75
 
5.4%
예 62
 
4.5%
홍 58
 
4.2%
면 56
 
4.1%
Other values (84) 471
34.2%
Common
ValueCountFrequency (%)
462
55.8%
1 63
 
7.6%
- 48
 
5.8%
3 45
 
5.4%
2 39
 
4.7%
5 39
 
4.7%
4 37
 
4.5%
7 31
 
3.7%
6 19
 
2.3%
9 18
 
2.2%
Other values (2) 27
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1378
62.5%
ASCII 828
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
55.8%
1 63
 
7.6%
- 48
 
5.8%
3 45
 
5.4%
2 39
 
4.7%
5 39
 
4.7%
4 37
 
4.5%
7 31
 
3.7%
6 19
 
2.3%
9 18
 
2.2%
Other values (2) 27
 
3.3%
Hangul
ValueCountFrequency (%)
산 133
 
9.7%
도 107
 
7.8%
충 104
 
7.5%
남 104
 
7.5%
리 104
 
7.5%
청 104
 
7.5%
군 75
 
5.4%
예 62
 
4.5%
홍 58
 
4.2%
면 56
 
4.1%
Other values (84) 471
34.2%

사체처리
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
기타
227 
<NA>
105 

Length

Max length4
Median length2
Mean length2.6325301
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 227
68.4%
<NA> 105
31.6%

Length

2024-01-10T06:08:50.167015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:50.265735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 227
68.4%
na 105
31.6%

동물성별
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Unknown
207 
Male
76 
Female
43 
Female(?)
 
3
Male(?)
 
3

Length

Max length9
Median length7
Mean length6.2018072
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 207
62.3%
Male 76
 
22.9%
Female 43
 
13.0%
Female(?) 3
 
0.9%
Male(?) 3
 
0.9%

Length

2024-01-10T06:08:50.357101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:50.449683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 207
62.3%
male 79
 
23.8%
female 46
 
13.9%

동물연령
Categorical

Distinct29
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0년0월0일
75 
Unknown
66 
Juvenile
63 
Adult
37 
Nestling
37 
Other values (24)
54 

Length

Max length8
Median length7
Mean length6.7319277
Min length5

Unique

Unique14 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 75
22.6%
Unknown 66
19.9%
Juvenile 63
19.0%
Adult 37
11.1%
Nestling 37
11.1%
0년1월0일 7
 
2.1%
0년11월0일 6
 
1.8%
1년0월0일 5
 
1.5%
0년6월0일 4
 
1.2%
0년5월0일 4
 
1.2%
Other values (19) 28
 
8.4%

Length

2024-01-10T06:08:50.565030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 75
22.6%
unknown 66
19.9%
juvenile 63
19.0%
adult 37
11.1%
nestling 37
11.1%
0년1월0일 7
 
2.1%
0년11월0일 6
 
1.8%
1년0월0일 5
 
1.5%
0년6월0일 4
 
1.2%
0년5월0일 4
 
1.2%
Other values (19) 28
 
8.4%

구조위도
Real number (ℝ)

Distinct232
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.597158
Minimum36.480694
Maximum36.662806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:50.686017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.480694
5-th percentile36.505506
Q136.575611
median36.597805
Q336.635111
95-th percentile36.652874
Maximum36.662806
Range0.182112
Interquartile range (IQR)0.0595

Descriptive statistics

Standard deviation0.042498548
Coefficient of variation (CV)0.0011612527
Kurtosis-0.10929869
Mean36.597158
Median Absolute Deviation (MAD)0.0289445
Skewness-0.61682418
Sum12150.257
Variance0.0018061266
MonotonicityNot monotonic
2024-01-10T06:08:50.813844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.635111 22
 
6.6%
36.635056 15
 
4.5%
36.651 8
 
2.4%
36.651556 7
 
2.1%
36.652861 6
 
1.8%
36.593333 6
 
1.8%
36.580417 6
 
1.8%
36.497028 5
 
1.5%
36.575611 4
 
1.2%
36.657194 4
 
1.2%
Other values (222) 249
75.0%
ValueCountFrequency (%)
36.480694 1
 
0.3%
36.488417 1
 
0.3%
36.496944 2
 
0.6%
36.497028 5
1.5%
36.497583 1
 
0.3%
36.50252800000001 1
 
0.3%
36.503 1
 
0.3%
36.50333300000001 1
 
0.3%
36.504611 1
 
0.3%
36.504694 1
 
0.3%
ValueCountFrequency (%)
36.662806 1
 
0.3%
36.65958300000001 1
 
0.3%
36.658806 1
 
0.3%
36.658167 1
 
0.3%
36.657194 4
1.2%
36.656611 2
0.6%
36.656194 1
 
0.3%
36.655861 1
 
0.3%
36.653778 2
0.6%
36.65358300000001 2
0.6%

구조경도
Real number (ℝ)

Distinct233
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.63683
Minimum126.44881
Maximum126.76728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:50.937725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44881
5-th percentile126.52366
Q1126.59656
median126.66136
Q3126.67339
95-th percentile126.72258
Maximum126.76728
Range0.318472
Interquartile range (IQR)0.07683375

Descriptive statistics

Standard deviation0.064695373
Coefficient of variation (CV)0.00051087329
Kurtosis0.040649491
Mean126.63683
Median Absolute Deviation (MAD)0.022903
Skewness-0.82746833
Sum42043.427
Variance0.0041854913
MonotonicityNot monotonic
2024-01-10T06:08:51.064850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.53861100000002 37
 
11.1%
126.667111 8
 
2.4%
126.67125 7
 
2.1%
126.669306 7
 
2.1%
126.589944 6
 
1.8%
126.673389 5
 
1.5%
126.664833 4
 
1.2%
126.663667 4
 
1.2%
126.663139 4
 
1.2%
126.697667 4
 
1.2%
Other values (223) 246
74.1%
ValueCountFrequency (%)
126.448806 1
0.3%
126.457889 1
0.3%
126.467333 1
0.3%
126.468167 1
0.3%
126.468417 1
0.3%
126.470806 1
0.3%
126.481778 1
0.3%
126.482083 1
0.3%
126.483083 1
0.3%
126.489306 1
0.3%
ValueCountFrequency (%)
126.767278 1
 
0.3%
126.763556 3
0.9%
126.755417 2
0.6%
126.743139 1
 
0.3%
126.737944 1
 
0.3%
126.735833 1
 
0.3%
126.732972 1
 
0.3%
126.729972 2
0.6%
126.729861 1
 
0.3%
126.729639 1
 
0.3%

구조고도
Real number (ℝ)

Distinct77
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.783133
Minimum0
Maximum150
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:51.196168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.65
Q132
median39
Q353.25
95-th percentile71
Maximum150
Range150
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation19.737276
Coefficient of variation (CV)0.46133313
Kurtosis4.645315
Mean42.783133
Median Absolute Deviation (MAD)9
Skewness1.2852501
Sum14204
Variance389.56008
MonotonicityNot monotonic
2024-01-10T06:08:51.338973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 40
 
12.0%
31 19
 
5.7%
44 16
 
4.8%
39 14
 
4.2%
40 13
 
3.9%
37 11
 
3.3%
38 9
 
2.7%
51 8
 
2.4%
54 8
 
2.4%
30 7
 
2.1%
Other values (67) 187
56.3%
ValueCountFrequency (%)
0 2
0.6%
1 2
0.6%
2 2
0.6%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
10 2
0.6%
12 4
1.2%
ValueCountFrequency (%)
150 1
 
0.3%
138 1
 
0.3%
111 3
0.9%
104 1
 
0.3%
97 1
 
0.3%
91 2
0.6%
87 1
 
0.3%
80 1
 
0.3%
76 2
0.6%
74 3
0.9%

방생위도
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)66.3%
Missing231
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean36.634663
Minimum36.159286
Maximum36.82551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:51.490073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.159286
5-th percentile36.48061
Q136.613535
median36.6541
Q336.67245
95-th percentile36.761778
Maximum36.82551
Range0.6662239
Interquartile range (IQR)0.05891497

Descriptive statistics

Standard deviation0.093734539
Coefficient of variation (CV)0.0025586297
Kurtosis8.7666238
Mean36.634663
Median Absolute Deviation (MAD)0.0307048
Skewness-2.2861634
Sum3700.101
Variance0.0087861637
MonotonicityNot monotonic
2024-01-10T06:08:51.629030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 9
 
2.7%
36.65410004 8
 
2.4%
36.62982279999999 6
 
1.8%
36.57573185 5
 
1.5%
36.66606467 3
 
0.9%
36.76177798 3
 
0.9%
36.66816249 2
 
0.6%
36.67334059 2
 
0.6%
36.6535359 2
 
0.6%
36.6996597 2
 
0.6%
Other values (57) 59
 
17.8%
(Missing) 231
69.6%
ValueCountFrequency (%)
36.15928604 1
0.3%
36.2480304 1
0.3%
36.36345959 1
0.3%
36.42413932 1
0.3%
36.47488388 1
0.3%
36.48061028 1
0.3%
36.51272699 1
0.3%
36.52211181 1
0.3%
36.53050223 1
0.3%
36.53377563 1
0.3%
ValueCountFrequency (%)
36.82550994 1
 
0.3%
36.77528585 1
 
0.3%
36.7676436 1
 
0.3%
36.76177798 3
0.9%
36.73233832 1
 
0.3%
36.73187411 1
 
0.3%
36.72837598 1
 
0.3%
36.72134802 1
 
0.3%
36.71997529 1
 
0.3%
36.71763735 1
 
0.3%

방생경도
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)66.3%
Missing231
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean126.71631
Minimum126.37813
Maximum127.25954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:51.804733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.37813
5-th percentile126.39409
Q1126.61954
median126.68429
Q3126.85967
95-th percentile126.96642
Maximum127.25954
Range0.8814126
Interquartile range (IQR)0.2401247

Descriptive statistics

Standard deviation0.18082658
Coefficient of variation (CV)0.001427019
Kurtosis-0.077217079
Mean126.71631
Median Absolute Deviation (MAD)0.1583808
Skewness-0.18475937
Sum12798.347
Variance0.032698253
MonotonicityNot monotonic
2024-01-10T06:08:51.959755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.85966609999998 9
 
2.7%
126.6750166 8
 
2.4%
126.3940879 6
 
1.8%
126.6636374 5
 
1.5%
126.8663143 3
 
0.9%
126.851879 3
 
0.9%
126.8644697 2
 
0.6%
126.8564069 2
 
0.6%
126.6842855 2
 
0.6%
126.612669 2
 
0.6%
Other values (57) 59
 
17.8%
(Missing) 231
69.6%
ValueCountFrequency (%)
126.3781271 1
 
0.3%
126.383956 1
 
0.3%
126.38424209999998 1
 
0.3%
126.3871091 1
 
0.3%
126.391016 1
 
0.3%
126.3940879 6
1.8%
126.3982345 1
 
0.3%
126.4006562 1
 
0.3%
126.4215883 1
 
0.3%
126.5131335 1
 
0.3%
ValueCountFrequency (%)
127.2595397 1
0.3%
127.0329023 1
0.3%
127.0262225 1
0.3%
127.0199075 1
0.3%
126.9870213 1
0.3%
126.96641509999998 1
0.3%
126.9655342 1
0.3%
126.9318531 1
0.3%
126.9168175 1
0.3%
126.90578700000002 1
0.3%

발견장소상세
Text

MISSING 

Distinct199
Distinct (%)64.8%
Missing25
Missing (%)7.5%
Memory size2.7 KiB
2024-01-10T06:08:52.224820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length7.8794788
Min length1

Characters and Unicode

Total characters2419
Distinct characters267
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

Unique176 ?
Unique (%)57.3%

Sample

1st row강변 풀숲
2nd row남해수산 앞
3rd row읍사무소 앞
4th row건물 옆
5th row주소지 주택가 부근
ValueCountFrequency (%)
도로 49
 
6.9%
방음벽 40
 
5.6%
주소지 38
 
5.3%
부근 33
 
4.6%
도로변 28
 
3.9%
앞 22
 
3.1%
옆 21
 
2.9%
가정집 18
 
2.5%
농경지 16
 
2.2%
공원 13
 
1.8%
Other values (241) 436
61.1%
2024-01-10T06:08:52.646521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
17.0%
로 109
 
4.5%
도 95
 
3.9%
지 80
 
3.3%
주 73
 
3.0%
소 52
 
2.1%
방 44
 
1.8%
변 43
 
1.8%
근 43
 
1.8%
부 42
 
1.7%
Other values (257) 1426
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1871
77.3%
Space Separator 412
 
17.0%
Decimal Number 94
 
3.9%
Uppercase Letter 11
 
0.5%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Dash Punctuation 8
 
0.3%
Lowercase Letter 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 109
 
5.8%
도 95
 
5.1%
지 80
 
4.3%
주 73
 
3.9%
소 52
 
2.8%
방 44
 
2.4%
변 43
 
2.3%
근 43
 
2.3%
부 42
 
2.2%
음 41
 
2.2%
Other values (232) 1249
66.8%
Decimal Number
ValueCountFrequency (%)
2 22
23.4%
1 21
22.3%
3 9
9.6%
0 9
9.6%
4 8
 
8.5%
9 6
 
6.4%
5 6
 
6.4%
8 5
 
5.3%
6 5
 
5.3%
7 3
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
27.3%
H 3
27.3%
A 2
18.2%
P 1
 
9.1%
T 1
 
9.1%
S 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
s 1
25.0%
n 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1871
77.3%
Common 533
 
22.0%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 109
 
5.8%
도 95
 
5.1%
지 80
 
4.3%
주 73
 
3.9%
소 52
 
2.8%
방 44
 
2.4%
변 43
 
2.3%
근 43
 
2.3%
부 42
 
2.2%
음 41
 
2.2%
Other values (232) 1249
66.8%
Common
ValueCountFrequency (%)
412
77.3%
2 22
 
4.1%
1 21
 
3.9%
3 9
 
1.7%
0 9
 
1.7%
) 9
 
1.7%
( 9
 
1.7%
4 8
 
1.5%
- 8
 
1.5%
9 6
 
1.1%
Other values (5) 20
 
3.8%
Latin
ValueCountFrequency (%)
L 3
20.0%
H 3
20.0%
A 2
13.3%
e 1
 
6.7%
s 1
 
6.7%
n 1
 
6.7%
o 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1871
77.3%
ASCII 548
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
75.2%
2 22
 
4.0%
1 21
 
3.8%
3 9
 
1.6%
0 9
 
1.6%
) 9
 
1.6%
( 9
 
1.6%
4 8
 
1.5%
- 8
 
1.5%
9 6
 
1.1%
Other values (15) 35
 
6.4%
Hangul
ValueCountFrequency (%)
로 109
 
5.8%
도 95
 
5.1%
지 80
 
4.3%
주 73
 
3.9%
소 52
 
2.8%
방 44
 
2.4%
변 43
 
2.3%
근 43
 
2.3%
부 42
 
2.2%
음 41
 
2.2%
Other values (232) 1249
66.8%

발견주소
Text

Distinct238
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T06:08:52.932692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length21.71988
Min length18

Characters and Unicode

Total characters7211
Distinct characters107
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

Unique212 ?
Unique (%)63.9%

Sample

1st row충청남도 홍성군 서부면 신리 315-125
2nd row충청남도 홍성군 서부면 남당리 160-159
3rd row충청남도 홍성군 광천읍 신진리 411-40
4th row충청남도 홍성군 홍성읍 법원로 19
5th row충청남도 홍성군 홍성읍 오관리 349-5
ValueCountFrequency (%)
충청남도 332
19.7%
홍성군 332
19.7%
홍성읍 103
 
6.1%
홍북읍 59
 
3.5%
갈산면 50
 
3.0%
신경리 42
 
2.5%
취생리 39
 
2.3%
202-1 37
 
2.2%
구항면 28
 
1.7%
금마면 20
 
1.2%
Other values (338) 645
38.2%
2024-01-10T06:08:53.341576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1364
18.9%
홍 526
 
7.3%
성 443
 
6.1%
남 352
 
4.9%
청 338
 
4.7%
충 336
 
4.7%
도 335
 
4.6%
군 332
 
4.6%
리 302
 
4.2%
1 266
 
3.7%
Other values (97) 2617
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4392
60.9%
Space Separator 1364
 
18.9%
Decimal Number 1249
 
17.3%
Dash Punctuation 202
 
2.8%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 526
12.0%
성 443
10.1%
남 352
 
8.0%
청 338
 
7.7%
충 336
 
7.7%
도 335
 
7.6%
군 332
 
7.6%
리 302
 
6.9%
읍 179
 
4.1%
면 152
 
3.5%
Other values (83) 1097
25.0%
Decimal Number
ValueCountFrequency (%)
1 266
21.3%
2 210
16.8%
3 117
9.4%
0 114
9.1%
4 110
8.8%
9 99
 
7.9%
6 97
 
7.8%
5 94
 
7.5%
7 79
 
6.3%
8 63
 
5.0%
Space Separator
ValueCountFrequency (%)
1364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4392
60.9%
Common 2819
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 526
12.0%
성 443
10.1%
남 352
 
8.0%
청 338
 
7.7%
충 336
 
7.7%
도 335
 
7.6%
군 332
 
7.6%
리 302
 
6.9%
읍 179
 
4.1%
면 152
 
3.5%
Other values (83) 1097
25.0%
Common
ValueCountFrequency (%)
1364
48.4%
1 266
 
9.4%
2 210
 
7.4%
- 202
 
7.2%
3 117
 
4.2%
0 114
 
4.0%
4 110
 
3.9%
9 99
 
3.5%
6 97
 
3.4%
5 94
 
3.3%
Other values (4) 146
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4392
60.9%
ASCII 2819
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1364
48.4%
1 266
 
9.4%
2 210
 
7.4%
- 202
 
7.2%
3 117
 
4.2%
0 114
 
4.0%
4 110
 
3.9%
9 99
 
3.5%
6 97
 
3.4%
5 94
 
3.3%
Other values (4) 146
 
5.2%
Hangul
ValueCountFrequency (%)
홍 526
12.0%
성 443
10.1%
남 352
 
8.0%
청 338
 
7.7%
충 336
 
7.7%
도 335
 
7.6%
군 332
 
7.6%
리 302
 
6.9%
읍 179
 
4.1%
면 152
 
3.5%
Other values (83) 1097
25.0%

발견장소특징
Categorical

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
도로변
119 
건물옆
117 
기타
35 
농경지
27 
숲
23 
Other values (2)
 
11

Length

Max length5
Median length3
Mean length2.8042169
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로변 119
35.8%
건물옆 117
35.2%
기타 35
 
10.5%
농경지 27
 
8.1%
숲 23
 
6.9%
강, 바다 9
 
2.7%
전선 2
 
0.6%

Length

2024-01-10T06:08:53.494931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:08:53.627322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로변 119
34.9%
건물옆 117
34.3%
기타 35
 
10.3%
농경지 27
 
7.9%
숲 23
 
6.7%
강 9
 
2.6%
바다 9
 
2.6%
전선 2
 
0.6%

발생원인
Categorical

Distinct18
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
전선/건물과의 충돌
87 
어미를 잃음(미아)
78 
차량과의 충돌
67 
기생충 중감염
35 
인공구조물 침입·고립
13 
Other values (13)
52 

Length

Max length11
Median length10
Mean length8.6174699
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row총상
2nd row전선/건물과의 충돌
3rd row알 수 없는 사고
4th row인공구조물 침입·고립
5th row전선/건물과의 충돌

Common Values

ValueCountFrequency (%)
전선/건물과의 충돌 87
26.2%
어미를 잃음(미아) 78
23.5%
차량과의 충돌 67
20.2%
기생충 중감염 35
10.5%
인공구조물 침입·고립 13
 
3.9%
개, 고양이 공격 13
 
3.9%
알 수 없는 사고 6
 
1.8%
인공구조물에 얽힘 6
 
1.8%
총상 5
 
1.5%
중독사고(농약) 4
 
1.2%
Other values (8) 18
 
5.4%

Length

2024-01-10T06:08:53.744893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 154
22.8%
전선/건물과의 87
12.9%
어미를 78
11.6%
잃음(미아 78
11.6%
차량과의 67
9.9%
기생충 35
 
5.2%
중감염 35
 
5.2%
인공구조물 13
 
1.9%
침입·고립 13
 
1.9%
개 13
 
1.9%
Other values (22) 102
15.1%

발생원인 세부사항
Text

Distinct127
Distinct (%)38.5%
Missing2
Missing (%)0.6%
Memory size2.7 KiB
2024-01-10T06:08:53.944298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length9.3090909
Min length1

Characters and Unicode

Total characters3072
Distinct characters206
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

Unique91 ?
Unique (%)27.6%

Sample

1st row총상
2nd row전선 충돌로 추정
3rd row어딘가에 걸려 날개 죽지 피부가 찢어진 듯함
4th row건물 틈에 고립된 개체
5th row충돌 OR 끈끈이 전후 관계 확인 필요
ValueCountFrequency (%)
충돌 121
 
14.8%
어미를 54
 
6.6%
차량과의 44
 
5.4%
방음벽 41
 
5.0%
추정 38
 
4.7%
잃음(미아 31
 
3.8%
기생충 24
 
2.9%
감염 19
 
2.3%
차량충돌 19
 
2.3%
중감염 19
 
2.3%
Other values (180) 406
49.8%
2024-01-10T06:08:54.293453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
511
 
16.6%
충 217
 
7.1%
돌 161
 
5.2%
미 113
 
3.7%
음 102
 
3.3%
량 73
 
2.4%
차 73
 
2.4%
어 64
 
2.1%
아 60
 
2.0%
의 59
 
1.9%
Other values (196) 1639
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2402
78.2%
Space Separator 511
 
16.6%
Other Punctuation 65
 
2.1%
Close Punctuation 45
 
1.5%
Open Punctuation 45
 
1.5%
Uppercase Letter 2
 
0.1%
Decimal Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 217
 
9.0%
돌 161
 
6.7%
미 113
 
4.7%
음 102
 
4.2%
량 73
 
3.0%
차 73
 
3.0%
어 64
 
2.7%
아 60
 
2.5%
의 59
 
2.5%
를 59
 
2.5%
Other values (185) 1421
59.2%
Other Punctuation
ValueCountFrequency (%)
/ 50
76.9%
, 8
 
12.3%
. 6
 
9.2%
· 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
511
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2402
78.2%
Common 668
 
21.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 217
 
9.0%
돌 161
 
6.7%
미 113
 
4.7%
음 102
 
4.2%
량 73
 
3.0%
차 73
 
3.0%
어 64
 
2.7%
아 60
 
2.5%
의 59
 
2.5%
를 59
 
2.5%
Other values (185) 1421
59.2%
Common
ValueCountFrequency (%)
511
76.5%
/ 50
 
7.5%
) 45
 
6.7%
( 45
 
6.7%
, 8
 
1.2%
. 6
 
0.9%
3 1
 
0.1%
+ 1
 
0.1%
· 1
 
0.1%
Latin
ValueCountFrequency (%)
O 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2402
78.2%
ASCII 669
 
21.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
511
76.4%
/ 50
 
7.5%
) 45
 
6.7%
( 45
 
6.7%
, 8
 
1.2%
. 6
 
0.9%
3 1
 
0.1%
+ 1
 
0.1%
O 1
 
0.1%
R 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 217
 
9.0%
돌 161
 
6.7%
미 113
 
4.7%
음 102
 
4.2%
량 73
 
3.0%
차 73
 
3.0%
어 64
 
2.7%
아 60
 
2.5%
의 59
 
2.5%
를 59
 
2.5%
Other values (185) 1421
59.2%
None
ValueCountFrequency (%)
· 1
100.0%

구조위도(TM구조위도)
Text

Distinct232
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T06:08:54.601146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters3320
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

Unique202 ?
Unique (%)60.8%

Sample

1st row36 31 50.6
2nd row36 32 02.0
3rd row36 30 16.9
4th row36 35 58.2
5th row36 35 51.3
ValueCountFrequency (%)
36 371
37.2%
35 75
 
7.5%
38 52
 
5.2%
39 48
 
4.8%
34 40
 
4.0%
06.4 22
 
2.2%
33 21
 
2.1%
37 15
 
1.5%
06.2 15
 
1.5%
31 13
 
1.3%
Other values (197) 324
32.5%
2024-01-10T06:08:55.025629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 804
24.2%
664
20.0%
6 480
14.5%
. 332
10.0%
0 183
 
5.5%
5 177
 
5.3%
4 150
 
4.5%
2 143
 
4.3%
9 126
 
3.8%
1 112
 
3.4%
Other values (2) 149
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2324
70.0%
Space Separator 664
 
20.0%
Other Punctuation 332
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 804
34.6%
6 480
20.7%
0 183
 
7.9%
5 177
 
7.6%
4 150
 
6.5%
2 143
 
6.2%
9 126
 
5.4%
1 112
 
4.8%
8 91
 
3.9%
7 58
 
2.5%
Space Separator
ValueCountFrequency (%)
664
100.0%
Other Punctuation
ValueCountFrequency (%)
. 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 804
24.2%
664
20.0%
6 480
14.5%
. 332
10.0%
0 183
 
5.5%
5 177
 
5.3%
4 150
 
4.5%
2 143
 
4.3%
9 126
 
3.8%
1 112
 
3.4%
Other values (2) 149
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 804
24.2%
664
20.0%
6 480
14.5%
. 332
10.0%
0 183
 
5.5%
5 177
 
5.3%
4 150
 
4.5%
2 143
 
4.3%
9 126
 
3.8%
1 112
 
3.4%
Other values (2) 149
 
4.5%

구조경도(TM구조경도)
Text

Distinct233
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T06:08:55.345210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3652
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

Unique204 ?
Unique (%)61.4%

Sample

1st row126 30 04.0
2nd row126 28 54.4
3rd row126 37 30.5
4th row126 39 03.3
5th row126 40 04.9
ValueCountFrequency (%)
126 332
33.3%
39 77
 
7.7%
40 69
 
6.9%
32 46
 
4.6%
19.0 37
 
3.7%
41 30
 
3.0%
38 20
 
2.0%
37 17
 
1.7%
35 15
 
1.5%
43 12
 
1.2%
Other values (215) 341
34.2%
2024-01-10T06:08:55.810167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
18.2%
2 513
14.0%
1 482
13.2%
6 407
11.1%
. 332
9.1%
3 317
8.7%
4 252
 
6.9%
0 208
 
5.7%
9 188
 
5.1%
5 137
 
3.8%
Other values (2) 152
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2656
72.7%
Space Separator 664
 
18.2%
Other Punctuation 332
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 513
19.3%
1 482
18.1%
6 407
15.3%
3 317
11.9%
4 252
9.5%
0 208
7.8%
9 188
 
7.1%
5 137
 
5.2%
8 84
 
3.2%
7 68
 
2.6%
Space Separator
ValueCountFrequency (%)
664
100.0%
Other Punctuation
ValueCountFrequency (%)
. 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
664
18.2%
2 513
14.0%
1 482
13.2%
6 407
11.1%
. 332
9.1%
3 317
8.7%
4 252
 
6.9%
0 208
 
5.7%
9 188
 
5.1%
5 137
 
3.8%
Other values (2) 152
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
18.2%
2 513
14.0%
1 482
13.2%
6 407
11.1%
. 332
9.1%
3 317
8.7%
4 252
 
6.9%
0 208
 
5.7%
9 188
 
5.1%
5 137
 
3.8%
Other values (2) 152
 
4.2%

방생위도(TM방생위도)
Text

MISSING 

Distinct84
Distinct (%)80.0%
Missing227
Missing (%)68.4%
Memory size2.7 KiB
2024-01-10T06:08:56.041766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1050
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

Unique72 ?
Unique (%)68.6%

Sample

1st row36 43 41.9
2nd row36 40 58.4
3rd row36 39 58.4
4th row36 41 31.8
5th row36 39 51.9
ValueCountFrequency (%)
36 108
34.3%
39 19
 
6.0%
40 18
 
5.7%
37 14
 
4.4%
41 7
 
2.2%
38 6
 
1.9%
35 6
 
1.9%
43 6
 
1.9%
47.3 6
 
1.9%
14.5 5
 
1.6%
Other values (90) 120
38.1%
2024-01-10T06:08:56.374721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 215
20.5%
210
20.0%
6 131
12.5%
. 105
10.0%
4 96
9.1%
1 57
 
5.4%
0 49
 
4.7%
5 47
 
4.5%
7 44
 
4.2%
2 38
 
3.6%
Other values (2) 58
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 735
70.0%
Space Separator 210
 
20.0%
Other Punctuation 105
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 215
29.3%
6 131
17.8%
4 96
13.1%
1 57
 
7.8%
0 49
 
6.7%
5 47
 
6.4%
7 44
 
6.0%
2 38
 
5.2%
9 33
 
4.5%
8 25
 
3.4%
Space Separator
ValueCountFrequency (%)
210
100.0%
Other Punctuation
ValueCountFrequency (%)
. 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 215
20.5%
210
20.0%
6 131
12.5%
. 105
10.0%
4 96
9.1%
1 57
 
5.4%
0 49
 
4.7%
5 47
 
4.5%
7 44
 
4.2%
2 38
 
3.6%
Other values (2) 58
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 215
20.5%
210
20.0%
6 131
12.5%
. 105
10.0%
4 96
9.1%
1 57
 
5.4%
0 49
 
4.7%
5 47
 
4.5%
7 44
 
4.2%
2 38
 
3.6%
Other values (2) 58
 
5.5%

방생경도(TM방생경도)
Text

MISSING 

Distinct85
Distinct (%)81.0%
Missing227
Missing (%)68.4%
Memory size2.7 KiB
2024-01-10T06:08:56.601547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1155
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

Unique72 ?
Unique (%)68.6%

Sample

1st row126 37 30.6
2nd row126 49 13.8
3rd row126 51 47.2
4th row126 49 23.6
5th row126 48 42.0
ValueCountFrequency (%)
126 101
32.1%
51 23
 
7.3%
40 14
 
4.4%
23 11
 
3.5%
39 8
 
2.5%
49 7
 
2.2%
38.3 6
 
1.9%
41 5
 
1.6%
37.3 4
 
1.3%
127 4
 
1.3%
Other values (98) 132
41.9%
2024-01-10T06:08:56.941665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
18.2%
1 163
14.1%
2 156
13.5%
6 130
11.3%
. 105
9.1%
3 85
7.4%
4 80
 
6.9%
5 69
 
6.0%
0 55
 
4.8%
7 41
 
3.5%
Other values (2) 61
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
72.7%
Space Separator 210
 
18.2%
Other Punctuation 105
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 163
19.4%
2 156
18.6%
6 130
15.5%
3 85
10.1%
4 80
9.5%
5 69
8.2%
0 55
 
6.5%
7 41
 
4.9%
9 33
 
3.9%
8 28
 
3.3%
Space Separator
ValueCountFrequency (%)
210
100.0%
Other Punctuation
ValueCountFrequency (%)
. 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
210
18.2%
1 163
14.1%
2 156
13.5%
6 130
11.3%
. 105
9.1%
3 85
7.4%
4 80
 
6.9%
5 69
 
6.0%
0 55
 
4.8%
7 41
 
3.5%
Other values (2) 61
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
18.2%
1 163
14.1%
2 156
13.5%
6 130
11.3%
. 105
9.1%
3 85
7.4%
4 80
 
6.9%
5 69
 
6.0%
0 55
 
4.8%
7 41
 
3.5%
Other values (2) 61
 
5.3%

등록체중
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3120.5331
Minimum0
Maximum22020
Zeros81
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:57.079349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median147
Q33290
95-th percentile16396
Maximum22020
Range22020
Interquartile range (IQR)3283.5

Descriptive statistics

Standard deviation5613.2922
Coefficient of variation (CV)1.7988247
Kurtosis1.6480579
Mean3120.5331
Median Absolute Deviation (MAD)147
Skewness1.7767432
Sum1036017
Variance31509050
MonotonicityNot monotonic
2024-01-10T06:08:57.472137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
24.4%
16 8
 
2.4%
11 6
 
1.8%
10 6
 
1.8%
20 5
 
1.5%
13 5
 
1.5%
8 4
 
1.2%
12 4
 
1.2%
142 3
 
0.9%
14 3
 
0.9%
Other values (191) 207
62.3%
ValueCountFrequency (%)
0 81
24.4%
4 1
 
0.3%
5 1
 
0.3%
7 2
 
0.6%
8 4
 
1.2%
9 3
 
0.9%
10 6
 
1.8%
11 6
 
1.8%
12 4
 
1.2%
13 5
 
1.5%
ValueCountFrequency (%)
22020 1
0.3%
20360 1
0.3%
19780 1
0.3%
19500 1
0.3%
18720 1
0.3%
18480 1
0.3%
18020 1
0.3%
17660 1
0.3%
17500 1
0.3%
17420 1
0.3%

현재체중
Real number (ℝ)

ZEROS 

Distinct199
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3238.2741
Minimum0
Maximum22020
Zeros81
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T06:08:57.594521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median156
Q33689.5
95-th percentile16396
Maximum22020
Range22020
Interquartile range (IQR)3683

Descriptive statistics

Standard deviation5606.4048
Coefficient of variation (CV)1.7312941
Kurtosis1.5246875
Mean3238.2741
Median Absolute Deviation (MAD)156
Skewness1.7259096
Sum1075107
Variance31431775
MonotonicityNot monotonic
2024-01-10T06:08:57.740747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
24.4%
16 8
 
2.4%
13 6
 
1.8%
12 5
 
1.5%
14 4
 
1.2%
20 4
 
1.2%
11 4
 
1.2%
9 4
 
1.2%
178 3
 
0.9%
182 3
 
0.9%
Other values (189) 210
63.3%
ValueCountFrequency (%)
0 81
24.4%
4 1
 
0.3%
5 1
 
0.3%
7 3
 
0.9%
8 2
 
0.6%
9 4
 
1.2%
10 3
 
0.9%
11 4
 
1.2%
12 5
 
1.5%
13 6
 
1.8%
ValueCountFrequency (%)
22020 1
0.3%
20360 1
0.3%
19780 1
0.3%
19500 1
0.3%
18720 1
0.3%
18480 1
0.3%
18020 1
0.3%
17660 1
0.3%
17500 1
0.3%
17420 1
0.3%

임상적최종진단
Text

Distinct208
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-10T06:08:57.965674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length12.641566
Min length2

Characters and Unicode

Total characters4197
Distinct characters282
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

Unique187 ?
Unique (%)56.3%

Sample

1st row기아 및 과거 좌측 완전골 총상으로 인한 골절 후 부정유합
2nd row우측 요척골 개방골절
3rd row우측 어깻죽지 피부 광범위한 열상
4th row미아
5th row우안 수정체 후방탈구로 인한 시력소실, 끈끈이 오염
ValueCountFrequency (%)
및 69
 
5.7%
의한 64
 
5.2%
미아 63
 
5.2%
골절 47
 
3.8%
충돌 44
 
3.6%
방음벽 41
 
3.4%
충돌에 40
 
3.3%
좌측 36
 
2.9%
단순 33
 
2.7%
개선충 32
 
2.6%
Other values (333) 752
61.6%
2024-01-10T06:08:58.321541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
894
 
21.3%
골 172
 
4.1%
충 132
 
3.1%
절 109
 
2.6%
한 100
 
2.4%
돌 94
 
2.2%
개 84
 
2.0%
아 81
 
1.9%
의 78
 
1.9%
측 77
 
1.8%
Other values (272) 2376
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2996
71.4%
Space Separator 894
 
21.3%
Lowercase Letter 144
 
3.4%
Other Punctuation 65
 
1.5%
Uppercase Letter 31
 
0.7%
Decimal Number 23
 
0.5%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Dash Punctuation 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 172
 
5.7%
충 132
 
4.4%
절 109
 
3.6%
한 100
 
3.3%
돌 94
 
3.1%
개 84
 
2.8%
아 81
 
2.7%
의 78
 
2.6%
측 77
 
2.6%
에 70
 
2.3%
Other values (227) 1999
66.7%
Lowercase Letter
ValueCountFrequency (%)
a 22
15.3%
t 15
10.4%
n 14
9.7%
o 12
 
8.3%
r 10
 
6.9%
e 9
 
6.2%
i 9
 
6.2%
l 9
 
6.2%
m 7
 
4.9%
s 6
 
4.2%
Other values (12) 31
21.5%
Uppercase Letter
ValueCountFrequency (%)
L 16
51.6%
T 4
 
12.9%
R 3
 
9.7%
H 2
 
6.5%
B 2
 
6.5%
S 2
 
6.5%
C 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
3 6
26.1%
6 5
21.7%
4 5
21.7%
5 3
13.0%
2 2
 
8.7%
1 2
 
8.7%
Other Punctuation
ValueCountFrequency (%)
, 37
56.9%
/ 14
 
21.5%
. 10
 
15.4%
? 3
 
4.6%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2996
71.4%
Common 1026
 
24.4%
Latin 175
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 172
 
5.7%
충 132
 
4.4%
절 109
 
3.6%
한 100
 
3.3%
돌 94
 
3.1%
개 84
 
2.8%
아 81
 
2.7%
의 78
 
2.6%
측 77
 
2.6%
에 70
 
2.3%
Other values (227) 1999
66.7%
Latin
ValueCountFrequency (%)
a 22
12.6%
L 16
 
9.1%
t 15
 
8.6%
n 14
 
8.0%
o 12
 
6.9%
r 10
 
5.7%
e 9
 
5.1%
i 9
 
5.1%
l 9
 
5.1%
m 7
 
4.0%
Other values (19) 52
29.7%
Common
ValueCountFrequency (%)
894
87.1%
, 37
 
3.6%
) 19
 
1.9%
( 19
 
1.9%
/ 14
 
1.4%
. 10
 
1.0%
3 6
 
0.6%
6 5
 
0.5%
4 5
 
0.5%
- 4
 
0.4%
Other values (6) 13
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2996
71.4%
ASCII 1201
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
894
74.4%
, 37
 
3.1%
a 22
 
1.8%
) 19
 
1.6%
( 19
 
1.6%
L 16
 
1.3%
t 15
 
1.2%
/ 14
 
1.2%
n 14
 
1.2%
o 12
 
1.0%
Other values (35) 139
 
11.6%
Hangul
ValueCountFrequency (%)
골 172
 
5.7%
충 132
 
4.4%
절 109
 
3.6%
한 100
 
3.3%
돌 94
 
3.1%
개 84
 
2.8%
아 81
 
2.7%
의 78
 
2.6%
측 77
 
2.6%
에 70
 
2.3%
Other values (227) 1999
66.7%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0052큰기러기조강(Aves)기러기목오리과해당없음2 급해당없음2019-01-252019-01-252019-01-252019-02-22안락사<NA>기타UnknownAdult36.530722126.5011110<NA><NA>강변 풀숲충청남도 홍성군 서부면 신리 315-125강, 바다총상총상36 31 50.6126 30 04.0<NA><NA>19262420기아 및 과거 좌측 완전골 총상으로 인한 골절 후 부정유합
12019-0154괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-03-202019-03-20안락사<NA>기타UnknownAdult36.533889126.4817784<NA><NA>남해수산 앞충청남도 홍성군 서부면 남당리 160-159건물옆전선/건물과의 충돌전선 충돌로 추정36 32 02.0126 28 54.4<NA><NA>386386우측 요척골 개방골절
22019-0490알락도요조강(Aves)도요목도요과해당없음해당없음해당없음<NA><NA>2019-05-172019-05-18DOA<NA>기타UnknownUnknown36.504694126.62513916<NA><NA>읍사무소 앞충청남도 홍성군 광천읍 신진리 411-40도로변알 수 없는 사고어딘가에 걸려 날개 죽지 피부가 찢어진 듯함36 30 16.9126 37 30.5<NA><NA>8484우측 어깻죽지 피부 광범위한 열상
32019-0697황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-06-102019-06-13폐사<NA>기타UnknownJuvenile36.5995126.65091746<NA><NA>건물 옆충청남도 홍성군 홍성읍 법원로 19건물옆인공구조물 침입·고립건물 틈에 고립된 개체36 35 58.2126 39 03.3<NA><NA>150152미아
42019-0965황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-07-042019-07-04안락사<NA>기타FemaleAdult36.597583126.66802841<NA><NA>주소지 주택가 부근충청남도 홍성군 홍성읍 오관리 349-5건물옆전선/건물과의 충돌충돌 OR 끈끈이 전후 관계 확인 필요36 35 51.3126 40 04.9<NA><NA>154154우안 수정체 후방탈구로 인한 시력소실, 끈끈이 오염
52019-1186참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-07-272019-07-27폐사체<NA>기타UnknownJuvenile36.635056126.53861134<NA><NA>도로 방음벽충청남도 홍성군 갈산면 취생리 202-1도로변전선/건물과의 충돌도로 방음벽 충돌36 38 06.2126 32 19.0<NA><NA>00방음벽 충돌
62019-1315참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-08-192019-09-26방생충청남도 예산군 덕산면 상가리 10-1<NA>MaleJuvenile36.5235126.6763335736.728376126.625599자연순환농업센터충청남도 홍성군 광천읍 운용리 570-3건물옆차량과의 충돌미약한 차량충돌 추정, 정확한 원인 파악 어려움36 31 24.6126 40 34.836 43 41.9126 37 30.6476690우측 대퇴골/경비골 골절 및 좌측 오훼골 골절/우안 충혈
72019-1708참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-12-102019-12-10안락사<NA>기타UnknownUnknown36.608806126.54147262<NA><NA>홍성공원묘지충청남도 홍성군 갈산면 부기리 3기타전선/건물과의 충돌전선충돌 추정36 36 31.7126 32 29.3<NA><NA>708708좌측 부척골 원위부 진구성 개방골절
82019-1733참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-12-182019-12-18DOA<NA>기타MaleAdult36.577111126.65883365<NA><NA>건물아래충청남도 홍성군 홍성읍 학계리 522건물옆전선/건물과의 충돌건물(유리창)과의 충돌36 34 37.6126 39 31.8<NA><NA>450450부리절단 및 두개골 내 출혈
92019-0392멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-05-092019-06-09폐사<NA>기타UnknownJuvenile36.601528126.66433331<NA><NA>톰스피자 가게충청남도 홍성군 홍성읍 아문길29번길 51 (오관리)건물옆어미를 잃음(미아)미아(재확인 필요)36 36 05.5126 39 51.6<NA><NA>160178충돌 개체
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
3222021-1209너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-06-282021-09-30방생충청남도 예산군 예산읍 석양리 산 26<NA>Male0년2월0일36.580417126.5899444036.701004126.844779가정집 창고충청남도 홍성군 구항면 구항서길 100번길 42건물옆기생충 중감염기생충 중감염/개선충 감염36 34 49.5126 35 23.836 42 03.1126 50 43.111203770개선충 중감염
3232021-1221너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-06-282021-08-12방생충청남도 예산군 대흥면 교촌리 산 7-105<NA>Male0년0월0일36.557417126.6891394036.620313126.779314홍동초등학교충청남도 홍성군 홍동면 홍장남로672번길 59숲기생충 중감염기생충 중감염36 33 26.7126 41 20.936 37 00.2126 46 20.745604780기생충 중감염
3242021-1233너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-07-022021-07-04폐사<NA>기타Unknown0년0월0일36.580417126.58994440<NA><NA>가정집 창고충청남도 홍성군 구항면 구항서길 100번길 42건물옆기생충 중감염기생충 중감염36 34 49.5126 35 23.8<NA><NA>980980기생충 중감염
3252021-1522너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-08-142021-08-14안락사<NA>기타Male0년4월0일36.589528126.65755651<NA><NA>주소지 부근 도로 갓길충청남도 홍성군 홍성읍 옥암리 271-8도로변차량과의 충돌차량과의 충돌36 35 22.3126 39 27.2<NA><NA>18001800L3골절, 개선충 및 승저증
3262021-1757너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-162021-10-16DOA<NA>기타Female0년0월0일36.652861126.6712539<NA><NA>청남프라자1차 지하주차장충청남도 홍성군 홍북읍 신경리 550건물옆기생충 중감염기생충 중감염/ 개선충36 39 10.3126 40 16.5<NA><NA>37003700개선충 중감염
3272021-1817너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-282022-02-22방생충청남도 서산시 부석면 마룡리 523-16<NA>Male0년0월0일36.597639126.6663236.638755126.391016하천충청남도 홍성군 홍성읍 오관리 361-26강, 바다기생충 중감염기생충 중감염/개선충 감염36 35 51.5126 39 57.636 38 15.7126 23 20.939604870개선충 중감염
3282021-1844너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-032022-03-25방생충청남도 서산시 부석면 마룡리 산 198<NA>Male0년0월0일36.595139126.6389726036.639443126.383956농경지충청남도 홍성군 홍성읍 백월로 61번길 5농경지기생충 중감염기생충 중감염/개선충 감염36 35 42.5126 38 20.336 38 18.6126 23 03.535005460개선충 중감염
3292021-1876너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-102022-03-03방생충청남도 서산시 부석면 마룡리 544-1<NA>Male0년0월0일36.600361126.6692783336.641768126.384242시네마모텔 주차장충청남도 홍성군 홍성읍 오관리 329-2건물옆기생충 중감염기생충 중감염/개선충36 36 01.3126 40 09.436 38 29.2126 23 05.038604480개선충 중감염
3302021-2082너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-312022-03-10방생충청남도 서산시 해미면 황락리 산 31-2<NA>Male0년0월0일36.54375126.6050565636.719975126.578481농경지 주변 가정집충청남도 홍성군 은하면 장곡리 121-1농경지기생충 중감염기생충 중감염/개선충36 32 37.5126 36 18.236 43 15.5126 34 37.637604450개선충 중감염
3312021-1610오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-09-032021-09-03안락사<NA>기타Female0년0월0일36.573126.6822527<NA><NA>농경지충청남도 홍성군 홍성읍 송월리 521농경지덫덫36 34 22.8126 40 56.1<NA><NA>50505050우측 상완골 개방골절 및 신경 혈관 단열