Overview

Dataset statistics

Number of variables5
Number of observations353
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory41.4 B

Variable types

Text3
DateTime1
Numeric1

Dataset

Description경상북도 동물병원 현황입니다. 참고하시기 바랍니다.허가 기관은 해당 시군이니 자세한 문의는 해당 시군에 문의하여 주시기 바랍니다.
Author경상북도
URLhttps://www.data.go.kr/data/15044802/fileData.do

Alerts

번호_시군구명 has unique valuesUnique
근로_수의사수 has 11 (3.1%) zerosZeros

Reproduction

Analysis started2024-04-13 11:49:51.437492
Analysis finished2024-04-13 11:49:53.299553
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호_시군구명
Text

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-13T20:49:54.525555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.694051
Min length5

Characters and Unicode

Total characters2363
Distinct characters44
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

Unique353 ?
Unique (%)100.0%

Sample

1st row1 포항시
2nd row2 포항시
3rd row3 포항시
4th row4 포항시
5th row5 포항시
ValueCountFrequency (%)
구미시 45
 
6.4%
경주시 40
 
5.7%
포항시 39
 
5.5%
경산시 34
 
4.8%
상주시 24
 
3.4%
영천시 20
 
2.8%
영주시 19
 
2.7%
김천시 19
 
2.7%
안동시 19
 
2.7%
의성군 14
 
2.0%
Other values (365) 433
61.3%
2024-04-13T20:49:56.139583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
14.9%
시 267
 
11.3%
1 176
 
7.4%
2 176
 
7.4%
3 130
 
5.5%
주 93
 
3.9%
군 86
 
3.6%
경 82
 
3.5%
4 75
 
3.2%
5 69
 
2.9%
Other values (34) 856
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1059
44.8%
Decimal Number 951
40.2%
Space Separator 353
 
14.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 267
25.2%
주 93
 
8.8%
군 86
 
8.1%
경 82
 
7.7%
천 51
 
4.8%
구 45
 
4.2%
미 45
 
4.2%
영 44
 
4.2%
항 39
 
3.7%
포 39
 
3.7%
Other values (23) 268
25.3%
Decimal Number
ValueCountFrequency (%)
1 176
18.5%
2 176
18.5%
3 130
13.7%
4 75
7.9%
5 69
 
7.3%
9 65
 
6.8%
0 65
 
6.8%
6 65
 
6.8%
8 65
 
6.8%
7 65
 
6.8%
Space Separator
ValueCountFrequency (%)
353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1304
55.2%
Hangul 1059
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 267
25.2%
주 93
 
8.8%
군 86
 
8.1%
경 82
 
7.7%
천 51
 
4.8%
구 45
 
4.2%
미 45
 
4.2%
영 44
 
4.2%
항 39
 
3.7%
포 39
 
3.7%
Other values (23) 268
25.3%
Common
ValueCountFrequency (%)
353
27.1%
1 176
13.5%
2 176
13.5%
3 130
 
10.0%
4 75
 
5.8%
5 69
 
5.3%
9 65
 
5.0%
0 65
 
5.0%
6 65
 
5.0%
8 65
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1304
55.2%
Hangul 1059
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
27.1%
1 176
13.5%
2 176
13.5%
3 130
 
10.0%
4 75
 
5.8%
5 69
 
5.3%
9 65
 
5.0%
0 65
 
5.0%
6 65
 
5.0%
8 65
 
5.0%
Hangul
ValueCountFrequency (%)
시 267
25.2%
주 93
 
8.8%
군 86
 
8.1%
경 82
 
7.7%
천 51
 
4.8%
구 45
 
4.2%
미 45
 
4.2%
영 44
 
4.2%
항 39
 
3.7%
포 39
 
3.7%
Other values (23) 268
25.3%

업체명
Text

Distinct325
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-13T20:49:56.946786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length6
Mean length7.1898017
Min length2

Characters and Unicode

Total characters2538
Distinct characters270
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)87.0%

Sample

1st row미르동물병원
2nd row기계동물병원
3rd row장기가축병원
4th row가나종합동물병원
5th row손수의과병원
ValueCountFrequency (%)
동물병원 48
 
11.1%
우리동물병원 6
 
1.4%
현대동물병원 5
 
1.2%
신세계동물병원 4
 
0.9%
한솔동물병원 3
 
0.7%
수현동물병원 2
 
0.5%
바른동물병원 2
 
0.5%
메디컬 2
 
0.5%
김수의과병원 2
 
0.5%
사랑동물병원 2
 
0.5%
Other values (345) 357
82.4%
2024-04-13T20:49:58.279710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 350
 
13.8%
병 334
 
13.2%
동 319
 
12.6%
물 309
 
12.2%
80
 
3.2%
축 45
 
1.8%
가 35
 
1.4%
의 28
 
1.1%
대 25
 
1.0%
산 22
 
0.9%
Other values (260) 991
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2420
95.4%
Space Separator 80
 
3.2%
Uppercase Letter 19
 
0.7%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Decimal Number 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 350
 
14.5%
병 334
 
13.8%
동 319
 
13.2%
물 309
 
12.8%
축 45
 
1.9%
가 35
 
1.4%
의 28
 
1.2%
대 25
 
1.0%
산 22
 
0.9%
수 21
 
0.9%
Other values (238) 932
38.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
A 3
15.8%
N 2
10.5%
M 2
10.5%
K 1
 
5.3%
D 1
 
5.3%
L 1
 
5.3%
I 1
 
5.3%
J 1
 
5.3%
P 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 1
20.0%
5 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2419
95.3%
Common 99
 
3.9%
Latin 19
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 350
 
14.5%
병 334
 
13.8%
동 319
 
13.2%
물 309
 
12.8%
축 45
 
1.9%
가 35
 
1.4%
의 28
 
1.2%
대 25
 
1.0%
산 22
 
0.9%
수 21
 
0.9%
Other values (237) 931
38.5%
Latin
ValueCountFrequency (%)
C 3
15.8%
A 3
15.8%
N 2
10.5%
M 2
10.5%
K 1
 
5.3%
D 1
 
5.3%
L 1
 
5.3%
I 1
 
5.3%
J 1
 
5.3%
P 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
80
80.8%
) 6
 
6.1%
( 6
 
6.1%
2 2
 
2.0%
4 1
 
1.0%
5 1
 
1.0%
& 1
 
1.0%
: 1
 
1.0%
1 1
 
1.0%
Han
ValueCountFrequency (%)
魏 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2419
95.3%
ASCII 118
 
4.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 350
 
14.5%
병 334
 
13.8%
동 319
 
13.2%
물 309
 
12.8%
축 45
 
1.9%
가 35
 
1.4%
의 28
 
1.2%
대 25
 
1.0%
산 22
 
0.9%
수 21
 
0.9%
Other values (237) 931
38.5%
ASCII
ValueCountFrequency (%)
80
67.8%
) 6
 
5.1%
( 6
 
5.1%
C 3
 
2.5%
A 3
 
2.5%
2 2
 
1.7%
N 2
 
1.7%
M 2
 
1.7%
4 1
 
0.8%
5 1
 
0.8%
Other values (12) 12
 
10.2%
CJK
ValueCountFrequency (%)
魏 1
100.0%

소재지
Text

Distinct347
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-13T20:49:59.631502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length25.736544
Min length15

Characters and Unicode

Total characters9085
Distinct characters245
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)96.6%

Sample

1st row경상북도 포항시 남구 오천읍 용덕리 449번지
2nd row경상북도 포항시 북구 기계면 현내리 312번지 29통 5반
3rd row경상북도 포항시 남구 장기면 마현리 322번지 1호 2통
4th row경상북도 포항시 북구 대흥동 619번지 42호 46통 4반
5th row경상북도 포항시 북구 덕수동 46번지 5호 16통
ValueCountFrequency (%)
경상북도 353
 
17.9%
구미시 45
 
2.3%
1호 44
 
2.2%
경주시 41
 
2.1%
포항시 39
 
2.0%
경산시 34
 
1.7%
북구 26
 
1.3%
3호 25
 
1.3%
상주시 24
 
1.2%
4호 21
 
1.1%
Other values (707) 1323
67.0%
2024-04-13T20:50:01.325405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2240
24.7%
경 441
 
4.9%
북 388
 
4.3%
상 384
 
4.2%
도 382
 
4.2%
지 339
 
3.7%
번 333
 
3.7%
호 289
 
3.2%
1 285
 
3.1%
시 273
 
3.0%
Other values (235) 3731
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5306
58.4%
Space Separator 2240
24.7%
Decimal Number 1520
 
16.7%
Dash Punctuation 13
 
0.1%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 441
 
8.3%
북 388
 
7.3%
상 384
 
7.2%
도 382
 
7.2%
지 339
 
6.4%
번 333
 
6.3%
호 289
 
5.4%
시 273
 
5.1%
동 228
 
4.3%
리 175
 
3.3%
Other values (218) 2074
39.1%
Decimal Number
ValueCountFrequency (%)
1 285
18.8%
2 212
13.9%
4 170
11.2%
3 160
10.5%
5 135
8.9%
6 126
8.3%
8 125
8.2%
9 104
 
6.8%
0 104
 
6.8%
7 99
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
2240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5306
58.4%
Common 3775
41.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 441
 
8.3%
북 388
 
7.3%
상 384
 
7.2%
도 382
 
7.2%
지 339
 
6.4%
번 333
 
6.3%
호 289
 
5.4%
시 273
 
5.1%
동 228
 
4.3%
리 175
 
3.3%
Other values (218) 2074
39.1%
Common
ValueCountFrequency (%)
2240
59.3%
1 285
 
7.5%
2 212
 
5.6%
4 170
 
4.5%
3 160
 
4.2%
5 135
 
3.6%
6 126
 
3.3%
8 125
 
3.3%
9 104
 
2.8%
0 104
 
2.8%
Other values (3) 114
 
3.0%
Latin
ValueCountFrequency (%)
A 1
25.0%
Ⅲ 1
25.0%
P 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5306
58.4%
ASCII 3778
41.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2240
59.3%
1 285
 
7.5%
2 212
 
5.6%
4 170
 
4.5%
3 160
 
4.2%
5 135
 
3.6%
6 126
 
3.3%
8 125
 
3.3%
9 104
 
2.8%
0 104
 
2.8%
Other values (6) 117
 
3.1%
Hangul
ValueCountFrequency (%)
경 441
 
8.3%
북 388
 
7.3%
상 384
 
7.2%
도 382
 
7.2%
지 339
 
6.4%
번 333
 
6.3%
호 289
 
5.4%
시 273
 
5.1%
동 228
 
4.3%
리 175
 
3.3%
Other values (218) 2074
39.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

신고일자
Date

Distinct337
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1964-05-31 00:00:00
Maximum2024-03-12 00:00:00
2024-04-13T20:50:01.576523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:50:01.840961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

근로_수의사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1416431
Minimum0
Maximum11
Zeros11
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-13T20:50:02.067902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.82385914
Coefficient of variation (CV)0.72164337
Kurtosis67.869766
Mean1.1416431
Median Absolute Deviation (MAD)0
Skewness7.0584388
Sum403
Variance0.67874388
MonotonicityNot monotonic
2024-04-13T20:50:02.259192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 311
88.1%
2 21
 
5.9%
0 11
 
3.1%
3 4
 
1.1%
5 3
 
0.8%
6 2
 
0.6%
11 1
 
0.3%
ValueCountFrequency (%)
0 11
 
3.1%
1 311
88.1%
2 21
 
5.9%
3 4
 
1.1%
5 3
 
0.8%
6 2
 
0.6%
11 1
 
0.3%
ValueCountFrequency (%)
11 1
 
0.3%
6 2
 
0.6%
5 3
 
0.8%
3 4
 
1.1%
2 21
 
5.9%
1 311
88.1%
0 11
 
3.1%

Interactions

2024-04-13T20:49:52.840462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-13T20:49:53.043603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:49:53.222839image/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_시군구명업체명소재지신고일자근로_수의사수
01 포항시미르동물병원경상북도 포항시 남구 오천읍 용덕리 449번지2007-12-031
12 포항시기계동물병원경상북도 포항시 북구 기계면 현내리 312번지 29통 5반1996-02-051
23 포항시장기가축병원경상북도 포항시 남구 장기면 마현리 322번지 1호 2통1981-09-241
34 포항시가나종합동물병원경상북도 포항시 북구 대흥동 619번지 42호 46통 4반1997-04-241
45 포항시손수의과병원경상북도 포항시 북구 덕수동 46번지 5호 16통1997-02-041
56 포항시풍지동물병원경상북도 포항시 남구 해도동 33번지 73호2001-05-171
67 포항시신세계동물병원경상북도 포항시 남구 해도동 123번지 5호2006-01-241
78 포항시김수의과병원경상북도 포항시 북구 용흥동 118번지 18호 45통 5반1990-12-071
89 포항시포항동물병원경상북도 포항시 북구 용흥동 144번지 8호1999-03-303
910 포항시청운동물병원경상북도 포항시 북구 용흥동 625번지 2호 22통 2반1995-07-121
번호_시군구명업체명소재지신고일자근로_수의사수
343344 봉화군내성동물병원경상북도 봉화군 봉화읍 내성리 426번지 41호2016-05-131
344345 봉화군국립백두대간수목원 동물병원경상북도 봉화군 춘양면 서벽리 1422번지 12호2022-09-271
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