Overview

Dataset statistics

Number of variables8
Number of observations447
Missing cells245
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory66.3 B

Variable types

Text5
DateTime1
Numeric2

Dataset

Description충청남도 동물병원 현황 데이터로 번호 시군명, 업체명, 행정동, 소재지, 신고일자, 근로자의사수, 면적 정보를 제공합니다.
Author충청남도
URLhttps://www.data.go.kr/data/15092610/fileData.do

Alerts

행정동 has 245 (54.8%) missing valuesMissing
번호 시군구명 has unique valuesUnique
근로수의사수 has 72 (16.1%) zerosZeros
면적 has 209 (46.8%) zerosZeros

Reproduction

Analysis started2024-03-15 02:08:58.082465
Analysis finished2024-03-15 02:09:00.293591
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호 시군구명
Text

UNIQUE 

Distinct447
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T11:09:01.792089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.7583893
Min length5

Characters and Unicode

Total characters3021
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)100.0%

Sample

1st row1 천안시
2nd row2 천안시
3rd row3 천안시
4th row4 천안시
5th row5 천안시
ValueCountFrequency (%)
천안시 117
 
13.1%
아산시 41
 
4.6%
공주시 39
 
4.4%
홍성군 38
 
4.3%
당진시 36
 
4.0%
논산시 34
 
3.8%
예산군 34
 
3.8%
서산시 28
 
3.1%
보령시 20
 
2.2%
부여군 17
 
1.9%
Other values (452) 490
54.8%
2024-03-15T11:09:03.825215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
14.8%
시 320
 
10.6%
1 195
 
6.5%
2 195
 
6.5%
3 195
 
6.5%
산 145
 
4.8%
4 141
 
4.7%
천 127
 
4.2%
안 127
 
4.2%
군 127
 
4.2%
Other values (26) 1002
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
44.4%
Decimal Number 1233
40.8%
Space Separator 447
 
14.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 320
23.9%
산 145
10.8%
천 127
 
9.5%
안 127
 
9.5%
군 127
 
9.5%
아 41
 
3.1%
공 39
 
2.9%
주 39
 
2.9%
서 38
 
2.8%
성 38
 
2.8%
Other values (15) 300
22.4%
Decimal Number
ValueCountFrequency (%)
1 195
15.8%
2 195
15.8%
3 195
15.8%
4 141
11.4%
5 85
6.9%
6 85
6.9%
7 85
6.9%
0 84
6.8%
9 84
6.8%
8 84
6.8%
Space Separator
ValueCountFrequency (%)
447
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1680
55.6%
Hangul 1341
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 320
23.9%
산 145
10.8%
천 127
 
9.5%
안 127
 
9.5%
군 127
 
9.5%
아 41
 
3.1%
공 39
 
2.9%
주 39
 
2.9%
서 38
 
2.8%
성 38
 
2.8%
Other values (15) 300
22.4%
Common
ValueCountFrequency (%)
447
26.6%
1 195
11.6%
2 195
11.6%
3 195
11.6%
4 141
 
8.4%
5 85
 
5.1%
6 85
 
5.1%
7 85
 
5.1%
0 84
 
5.0%
9 84
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
55.6%
Hangul 1341
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
447
26.6%
1 195
11.6%
2 195
11.6%
3 195
11.6%
4 141
 
8.4%
5 85
 
5.1%
6 85
 
5.1%
7 85
 
5.1%
0 84
 
5.0%
9 84
 
5.0%
Hangul
ValueCountFrequency (%)
시 320
23.9%
산 145
10.8%
천 127
 
9.5%
안 127
 
9.5%
군 127
 
9.5%
아 41
 
3.1%
공 39
 
2.9%
주 39
 
2.9%
서 38
 
2.8%
성 38
 
2.8%
Other values (15) 300
22.4%

업체명
Text

Distinct373
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T11:09:04.778004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length7.3378076
Min length1

Characters and Unicode

Total characters3280
Distinct characters313
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

Unique327 ?
Unique (%)73.2%

Sample

1st row송
2nd row충일
3rd row태성동물병원
4th row용
5th row천성벳동물병원
ValueCountFrequency (%)
동물병원 56
 
9.9%
중앙동물병원 7
 
1.2%
제일동물병원 5
 
0.9%
충남동물병원 5
 
0.9%
대천동물병원 5
 
0.9%
예당가축병원 4
 
0.7%
녹십자동물병원 4
 
0.7%
대한 4
 
0.7%
우리동물병원 4
 
0.7%
출장진료를 4
 
0.7%
Other values (396) 465
82.6%
2024-03-15T11:09:06.119367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 393
 
12.0%
동 388
 
11.8%
병 377
 
11.5%
물 376
 
11.5%
116
 
3.5%
산 43
 
1.3%
축 41
 
1.2%
가 32
 
1.0%
한 31
 
0.9%
료 30
 
0.9%
Other values (303) 1453
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3044
92.8%
Space Separator 116
 
3.5%
Close Punctuation 24
 
0.7%
Open Punctuation 24
 
0.7%
Uppercase Letter 24
 
0.7%
Lowercase Letter 22
 
0.7%
Decimal Number 16
 
0.5%
Other Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 393
 
12.9%
동 388
 
12.7%
병 377
 
12.4%
물 376
 
12.4%
산 43
 
1.4%
축 41
 
1.3%
가 32
 
1.1%
한 31
 
1.0%
료 30
 
1.0%
대 29
 
1.0%
Other values (268) 1304
42.8%
Uppercase Letter
ValueCountFrequency (%)
K 4
16.7%
A 3
12.5%
S 3
12.5%
N 2
8.3%
L 2
8.3%
H 2
8.3%
P 2
8.3%
C 1
 
4.2%
O 1
 
4.2%
G 1
 
4.2%
Other values (3) 3
12.5%
Lowercase Letter
ValueCountFrequency (%)
i 5
22.7%
m 3
13.6%
a 3
13.6%
c 2
 
9.1%
l 2
 
9.1%
n 2
 
9.1%
p 1
 
4.5%
s 1
 
4.5%
b 1
 
4.5%
o 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
· 1
 
10.0%
& 1
 
10.0%
; 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
8 6
37.5%
2 5
31.2%
4 4
25.0%
1 1
 
6.2%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3044
92.8%
Common 190
 
5.8%
Latin 46
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 393
 
12.9%
동 388
 
12.7%
병 377
 
12.4%
물 376
 
12.4%
산 43
 
1.4%
축 41
 
1.3%
가 32
 
1.1%
한 31
 
1.0%
료 30
 
1.0%
대 29
 
1.0%
Other values (268) 1304
42.8%
Latin
ValueCountFrequency (%)
i 5
 
10.9%
K 4
 
8.7%
m 3
 
6.5%
A 3
 
6.5%
S 3
 
6.5%
a 3
 
6.5%
N 2
 
4.3%
L 2
 
4.3%
c 2
 
4.3%
l 2
 
4.3%
Other values (14) 17
37.0%
Common
ValueCountFrequency (%)
116
61.1%
) 24
 
12.6%
( 24
 
12.6%
. 7
 
3.7%
8 6
 
3.2%
2 5
 
2.6%
4 4
 
2.1%
1 1
 
0.5%
· 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3044
92.8%
ASCII 235
 
7.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 393
 
12.9%
동 388
 
12.7%
병 377
 
12.4%
물 376
 
12.4%
산 43
 
1.4%
축 41
 
1.3%
가 32
 
1.1%
한 31
 
1.0%
료 30
 
1.0%
대 29
 
1.0%
Other values (268) 1304
42.8%
ASCII
ValueCountFrequency (%)
116
49.4%
) 24
 
10.2%
( 24
 
10.2%
. 7
 
3.0%
8 6
 
2.6%
2 5
 
2.1%
i 5
 
2.1%
4 4
 
1.7%
K 4
 
1.7%
m 3
 
1.3%
Other values (24) 37
 
15.7%
None
ValueCountFrequency (%)
· 1
100.0%

행정동
Text

MISSING 

Distinct76
Distinct (%)37.6%
Missing245
Missing (%)54.8%
Memory size3.6 KiB
2024-03-15T11:09:07.049053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.1831683
Min length3

Characters and Unicode

Total characters643
Distinct characters84
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)18.3%

Sample

1st row성환읍
2nd row성환읍
3rd row성환읍
4th row성환읍
5th row성환읍
ValueCountFrequency (%)
홍성읍 14
 
6.9%
취암동 10
 
5.0%
신관동 9
 
4.5%
당진읍 8
 
4.0%
예산읍 8
 
4.0%
성환읍 7
 
3.5%
봉명동 7
 
3.5%
고덕면 6
 
3.0%
대천1동 6
 
3.0%
부여읍 6
 
3.0%
Other values (66) 121
59.9%
2024-03-15T11:09:08.174446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 103
 
16.0%
읍 71
 
11.0%
성 35
 
5.4%
면 33
 
5.1%
1 21
 
3.3%
천 19
 
3.0%
당 18
 
2.8%
진 18
 
2.8%
산 17
 
2.6%
부 16
 
2.5%
Other values (74) 292
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 612
95.2%
Decimal Number 31
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 103
 
16.8%
읍 71
 
11.6%
성 35
 
5.7%
면 33
 
5.4%
천 19
 
3.1%
당 18
 
2.9%
진 18
 
2.9%
산 17
 
2.8%
부 16
 
2.6%
홍 16
 
2.6%
Other values (71) 266
43.5%
Decimal Number
ValueCountFrequency (%)
1 21
67.7%
2 9
29.0%
6 1
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 612
95.2%
Common 31
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 103
 
16.8%
읍 71
 
11.6%
성 35
 
5.7%
면 33
 
5.4%
천 19
 
3.1%
당 18
 
2.9%
진 18
 
2.9%
산 17
 
2.8%
부 16
 
2.6%
홍 16
 
2.6%
Other values (71) 266
43.5%
Common
ValueCountFrequency (%)
1 21
67.7%
2 9
29.0%
6 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 612
95.2%
ASCII 31
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 103
 
16.8%
읍 71
 
11.6%
성 35
 
5.7%
면 33
 
5.4%
천 19
 
3.1%
당 18
 
2.9%
진 18
 
2.9%
산 17
 
2.8%
부 16
 
2.6%
홍 16
 
2.6%
Other values (71) 266
43.5%
ASCII
ValueCountFrequency (%)
1 21
67.7%
2 9
29.0%
6 1
 
3.2%

소재지
Text

Distinct400
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T11:09:09.329007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length27.302013
Min length4

Characters and Unicode

Total characters12204
Distinct characters256
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)82.3%

Sample

1st row충청남도 천안시 서북구 성환읍 성환리 449번지 68호
2nd row충청남도 천안시 서북구 성환읍 성환리 449번지 118호
3rd row충청남도 천안시 서북구 성환읍 성환리 449번지 342호
4th row충청남도 천안시 서북구 성환읍 성환리 449번지 742 호
5th row충청남도 천안시 서북구 성환읍 매주리 322번지
ValueCountFrequency (%)
충청남도 442
 
16.8%
천안시 117
 
4.5%
동남구 60
 
2.3%
서북구 57
 
2.2%
아산시 41
 
1.6%
공주시 38
 
1.4%
홍성군 37
 
1.4%
1호 36
 
1.4%
당진시 36
 
1.4%
논산시 34
 
1.3%
Other values (734) 1731
65.8%
2024-03-15T11:09:10.847040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3014
24.7%
남 521
 
4.3%
청 469
 
3.8%
도 448
 
3.7%
지 448
 
3.7%
충 444
 
3.6%
번 434
 
3.6%
1 415
 
3.4%
호 340
 
2.8%
시 323
 
2.6%
Other values (246) 5348
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7190
58.9%
Space Separator 3014
24.7%
Decimal Number 1970
 
16.1%
Dash Punctuation 16
 
0.1%
Uppercase Letter 12
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 521
 
7.2%
청 469
 
6.5%
도 448
 
6.2%
지 448
 
6.2%
충 444
 
6.2%
번 434
 
6.0%
호 340
 
4.7%
시 323
 
4.5%
동 319
 
4.4%
리 232
 
3.2%
Other values (223) 3212
44.7%
Decimal Number
ValueCountFrequency (%)
1 415
21.1%
2 244
12.4%
3 224
11.4%
4 213
10.8%
5 183
9.3%
8 143
 
7.3%
6 142
 
7.2%
0 136
 
6.9%
9 136
 
6.9%
7 134
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
L 2
16.7%
G 2
16.7%
F 1
8.3%
S 1
8.3%
A 1
8.3%
I 1
8.3%
T 1
8.3%
C 1
8.3%
Space Separator
ValueCountFrequency (%)
3014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7190
58.9%
Common 5001
41.0%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 521
 
7.2%
청 469
 
6.5%
도 448
 
6.2%
지 448
 
6.2%
충 444
 
6.2%
번 434
 
6.0%
호 340
 
4.7%
시 323
 
4.5%
동 319
 
4.4%
리 232
 
3.2%
Other values (223) 3212
44.7%
Common
ValueCountFrequency (%)
3014
60.3%
1 415
 
8.3%
2 244
 
4.9%
3 224
 
4.5%
4 213
 
4.3%
5 183
 
3.7%
8 143
 
2.9%
6 142
 
2.8%
0 136
 
2.7%
9 136
 
2.7%
Other values (3) 151
 
3.0%
Latin
ValueCountFrequency (%)
B 2
15.4%
L 2
15.4%
G 2
15.4%
F 1
7.7%
S 1
7.7%
s 1
7.7%
A 1
7.7%
I 1
7.7%
T 1
7.7%
C 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7190
58.9%
ASCII 5014
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3014
60.1%
1 415
 
8.3%
2 244
 
4.9%
3 224
 
4.5%
4 213
 
4.2%
5 183
 
3.6%
8 143
 
2.9%
6 142
 
2.8%
0 136
 
2.7%
9 136
 
2.7%
Other values (13) 164
 
3.3%
Hangul
ValueCountFrequency (%)
남 521
 
7.2%
청 469
 
6.5%
도 448
 
6.2%
지 448
 
6.2%
충 444
 
6.2%
번 434
 
6.0%
호 340
 
4.7%
시 323
 
4.5%
동 319
 
4.4%
리 232
 
3.2%
Other values (223) 3212
44.7%

대표자명
Text

Distinct382
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-15T11:09:11.602691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.4250559
Min length2

Characters and Unicode

Total characters1531
Distinct characters195
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

Unique329 ?
Unique (%)73.6%

Sample

1st row송왕만
2nd row오재춘
3rd row송순경
4th row신용현
5th row박창현
ValueCountFrequency (%)
설명진 5
 
1.1%
김희태 4
 
0.9%
이용우 4
 
0.9%
김지완 3
 
0.7%
최윤석 3
 
0.7%
탁성태 3
 
0.7%
김성욱 3
 
0.7%
신동길 3
 
0.7%
최영식 2
 
0.4%
윤성훈 2
 
0.4%
Other values (375) 418
92.9%
2024-03-15T11:09:12.902405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 80
 
5.2%
이 63
 
4.1%
성 40
 
2.6%
정 36
 
2.4%
동 35
 
2.3%
영 34
 
2.2%
조 33
 
2.2%
기 28
 
1.8%
박 28
 
1.8%
현 27
 
1.8%
Other values (185) 1127
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1521
99.3%
Space Separator 4
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 80
 
5.3%
이 63
 
4.1%
성 40
 
2.6%
정 36
 
2.4%
동 35
 
2.3%
영 34
 
2.2%
조 33
 
2.2%
기 28
 
1.8%
박 28
 
1.8%
현 27
 
1.8%
Other values (182) 1117
73.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1521
99.3%
Common 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 80
 
5.3%
이 63
 
4.1%
성 40
 
2.6%
정 36
 
2.4%
동 35
 
2.3%
영 34
 
2.2%
조 33
 
2.2%
기 28
 
1.8%
박 28
 
1.8%
현 27
 
1.8%
Other values (182) 1117
73.4%
Common
ValueCountFrequency (%)
4
40.0%
( 3
30.0%
) 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1521
99.3%
ASCII 10
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 80
 
5.3%
이 63
 
4.1%
성 40
 
2.6%
정 36
 
2.4%
동 35
 
2.3%
영 34
 
2.2%
조 33
 
2.2%
기 28
 
1.8%
박 28
 
1.8%
현 27
 
1.8%
Other values (182) 1117
73.4%
ASCII
ValueCountFrequency (%)
4
40.0%
( 3
30.0%
) 3
30.0%

신고일자
Date

Distinct404
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1960-03-15 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T11:09:13.247930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:09:13.641316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

근로수의사수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2214765
Minimum0
Maximum17
Zeros72
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-03-15T11:09:13.919322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.39913
Coefficient of variation (CV)1.1454416
Kurtosis49.762592
Mean1.2214765
Median Absolute Deviation (MAD)0
Skewness5.7134876
Sum546
Variance1.9575646
MonotonicityNot monotonic
2024-03-15T11:09:14.131940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 297
66.4%
0 72
 
16.1%
2 45
 
10.1%
3 16
 
3.6%
5 6
 
1.3%
4 4
 
0.9%
7 3
 
0.7%
8 1
 
0.2%
17 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
0 72
 
16.1%
1 297
66.4%
2 45
 
10.1%
3 16
 
3.6%
4 4
 
0.9%
5 6
 
1.3%
6 1
 
0.2%
7 3
 
0.7%
8 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
17 1
 
0.2%
13 1
 
0.2%
8 1
 
0.2%
7 3
 
0.7%
6 1
 
0.2%
5 6
 
1.3%
4 4
 
0.9%
3 16
 
3.6%
2 45
 
10.1%
1 297
66.4%

면적
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.68233
Minimum0
Maximum12289
Zeros209
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-03-15T11:09:14.489537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q390.5
95-th percentile436.8
Maximum12289
Range12289
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation955.83123
Coefficient of variation (CV)5.0928143
Kurtosis95.946233
Mean187.68233
Median Absolute Deviation (MAD)24
Skewness9.3607658
Sum83894
Variance913613.35
MonotonicityNot monotonic
2024-03-15T11:09:14.826366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 209
46.8%
40 7
 
1.6%
56 6
 
1.3%
33 6
 
1.3%
35 6
 
1.3%
133 5
 
1.1%
36 5
 
1.1%
124 4
 
0.9%
17 4
 
0.9%
45 4
 
0.9%
Other values (127) 191
42.7%
ValueCountFrequency (%)
0 209
46.8%
5 1
 
0.2%
9 1
 
0.2%
15 1
 
0.2%
17 4
 
0.9%
20 3
 
0.7%
21 1
 
0.2%
22 1
 
0.2%
23 1
 
0.2%
24 4
 
0.9%
ValueCountFrequency (%)
12289 1
0.2%
8974 2
0.4%
6600 1
0.2%
6130 1
0.2%
2207 1
0.2%
2155 1
0.2%
1700 1
0.2%
1486 1
0.2%
1432 1
0.2%
1415 1
0.2%

Interactions

2024-03-15T11:08:59.351429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:08:58.942031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:08:59.536163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:08:59.169032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:09:14.998486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동근로수의사수면적
행정동1.0000.7510.882
근로수의사수0.7511.0000.000
면적0.8820.0001.000
2024-03-15T11:09:15.149576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
근로수의사수면적
근로수의사수1.0000.256
면적0.2561.000

Missing values

2024-03-15T11:08:59.872243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:09:00.205957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호 시군구명업체명행정동소재지대표자명신고일자근로수의사수면적
01 천안시송성환읍충청남도 천안시 서북구 성환읍 성환리 449번지 68호송왕만1976-02-1300
12 천안시충일성환읍충청남도 천안시 서북구 성환읍 성환리 449번지 118호오재춘1985-06-0710
23 천안시태성동물병원성환읍충청남도 천안시 서북구 성환읍 성환리 449번지 342호송순경1991-04-0910
34 천안시용성환읍충청남도 천안시 서북구 성환읍 성환리 449번지 742 호신용현2000-11-1600
45 천안시천성벳동물병원성환읍충청남도 천안시 서북구 성환읍 매주리 322번지박창현2009-08-14132
56 천안시조은동물병원목천읍충청남도 천안시 동남구 목천읍 신계리 296번지 2호 102호임춘기2007-09-05124
67 천안시성환성환읍충청남도 천안시 서북구 성환읍 성환리 449번지 118 호임홍균2002-10-3000
78 천안시천안공주낙농축산업협동조합부설동물병원성환읍충청남도 천안시 서북구 성환읍 매주리 435번지 1호천안공주낙농축산업협동조합1994-03-2820
89 천안시(주)옵티팜솔루션성거읍충청남도 천안시 서북구 성거읍 송남리 48번지 중부물류센타 2층(주)옵티팜솔루션2006-09-1200
910 천안시도끄메리쫑 동물병원성정1동충청남도 천안시 서북구 성정동 1123번지 탑존빌딩102호한대경2004-03-2600
번호 시군구명업체명행정동소재지대표자명신고일자근로수의사수면적
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439440 당진시O.K 동물병원<NA>충청남도 당진시 읍내동 1063번지 1호오봉근2016-06-01165
440441 당진시우리동물병원<NA>충청남도 당진시 우강면 창리 246번지 5호백영철2014-09-1130
441442 당진시센트럴동물병원<NA>충청남도 당진시 수청동 999번지 로뎀타워 104동정태현2013-09-05260
442443 당진시현대동물병원<NA>충청남도 당진시 우두동 1436번지이선재2012-04-19184
443444 당진시당진축협동물병원<NA>충청남도 당진시 읍내동 산 66번지 2호당진축산업협동조합2012-04-05192
444445 당진시한울 AHC동물병원<NA>충청남도 당진시 순성면 봉소리 606번지 15호 가동이공엽2011-05-17246
445446 당진시행담 동물병원<NA>충청남도 당진시 읍내동 300번지 7호 상록서점고영민2010-12-09176
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