Overview

Dataset statistics

Number of variables14
Number of observations28
Missing cells26
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory119.7 B

Variable types

Categorical6
Text4
Numeric2
DateTime2

Dataset

Description대구광역시_북구_동물병원현황_20190823
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15027997&dataSetDetailId=1502799719fc32bb7f4f3_201908231520&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
진료동물 is highly imbalanced (66.9%)Imbalance
진료수의사수 is highly imbalanced (52.6%)Imbalance
휴업일 has 26 (92.9%) missing valuesMissing
병원명 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
개설일 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:20:45.571152
Analysis finished2023-12-10 19:20:47.324624
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
대구광역시
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 28
100.0%

Length

2023-12-11T04:20:47.422201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:47.566129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 28
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
북구
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 28
100.0%

Length

2023-12-11T04:20:47.741645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:47.889870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 28
100.0%

병원명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T04:20:48.127426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15.5
Mean length7.5714286
Min length5

Characters and Unicode

Total characters212
Distinct characters70
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

Unique28 ?
Unique (%)100.0%

Sample

1st row동명동물병원
2nd row경북대학교 수의과대학 부속동물병원
3rd row복현동물병원
4th row대구축협동물병원
5th row경북가축병원
ValueCountFrequency (%)
동물병원 4
 
11.8%
동명동물병원 1
 
2.9%
아프리카24시동물병원 1
 
2.9%
신한동물병원 1
 
2.9%
다온동물병원 1
 
2.9%
가온동물병원 1
 
2.9%
대구24시동물병원 1
 
2.9%
올리브동물병원 1
 
2.9%
키다리동물병원 1
 
2.9%
세븐동물병원 1
 
2.9%
Other values (21) 21
61.8%
2023-12-11T04:20:48.673548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
13.7%
27
 
12.7%
27
 
12.7%
27
 
12.7%
6
 
2.8%
4
 
1.9%
4
 
1.9%
3
 
1.4%
3
 
1.4%
2 2
 
0.9%
Other values (60) 80
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
92.5%
Space Separator 6
 
2.8%
Decimal Number 4
 
1.9%
Lowercase Letter 3
 
1.4%
Open Punctuation 1
 
0.5%
Uppercase Letter 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
14.8%
27
 
13.8%
27
 
13.8%
27
 
13.8%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
2
 
1.0%
2
 
1.0%
Other values (52) 68
34.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
66.7%
r 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
92.5%
Common 12
 
5.7%
Latin 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
14.8%
27
 
13.8%
27
 
13.8%
27
 
13.8%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
2
 
1.0%
2
 
1.0%
Other values (52) 68
34.7%
Common
ValueCountFrequency (%)
6
50.0%
2 2
 
16.7%
4 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%
Latin
ValueCountFrequency (%)
a 2
50.0%
L 1
25.0%
r 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
92.5%
ASCII 16
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
14.8%
27
 
13.8%
27
 
13.8%
27
 
13.8%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
2
 
1.0%
2
 
1.0%
Other values (52) 68
34.7%
ASCII
ValueCountFrequency (%)
6
37.5%
2 2
 
12.5%
a 2
 
12.5%
4 2
 
12.5%
( 1
 
6.2%
L 1
 
6.2%
) 1
 
6.2%
r 1
 
6.2%
Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T04:20:49.037590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35.5
Mean length26.928571
Min length21

Characters and Unicode

Total characters754
Distinct characters88
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 칠곡중앙대로 531 (읍내동)
2nd row대구광역시 북구 대학로 80 (산격동, 경북대학교 수의과대학)
3rd row대구광역시 북구 동북로 193 (산격동)
4th row대구광역시 북구 검단북로 154 (검단동)
5th row대구광역시 북구 팔달로41길 12 (노원동2가)
ValueCountFrequency (%)
대구광역시 28
 
17.9%
북구 28
 
17.9%
칠곡중앙대로 7
 
4.5%
산격동 4
 
2.6%
동천동 4
 
2.6%
태전동 4
 
2.6%
침산동 3
 
1.9%
12 2
 
1.3%
침산로 2
 
1.3%
1층 2
 
1.3%
Other values (69) 72
46.2%
2023-12-11T04:20:49.546698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
17.0%
57
 
7.6%
42
 
5.6%
39
 
5.2%
1 37
 
4.9%
32
 
4.2%
28
 
3.7%
28
 
3.7%
28
 
3.7%
28
 
3.7%
Other values (78) 307
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
59.4%
Space Separator 128
 
17.0%
Decimal Number 108
 
14.3%
Open Punctuation 27
 
3.6%
Close Punctuation 27
 
3.6%
Other Punctuation 13
 
1.7%
Dash Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
12.7%
42
 
9.4%
39
 
8.7%
32
 
7.1%
28
 
6.2%
28
 
6.2%
28
 
6.2%
28
 
6.2%
15
 
3.3%
9
 
2.0%
Other values (62) 142
31.7%
Decimal Number
ValueCountFrequency (%)
1 37
34.3%
2 14
 
13.0%
3 13
 
12.0%
0 11
 
10.2%
4 9
 
8.3%
8 6
 
5.6%
5 6
 
5.6%
7 5
 
4.6%
9 4
 
3.7%
6 3
 
2.8%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
59.4%
Common 305
40.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
12.7%
42
 
9.4%
39
 
8.7%
32
 
7.1%
28
 
6.2%
28
 
6.2%
28
 
6.2%
28
 
6.2%
15
 
3.3%
9
 
2.0%
Other values (62) 142
31.7%
Common
ValueCountFrequency (%)
128
42.0%
1 37
 
12.1%
( 27
 
8.9%
) 27
 
8.9%
2 14
 
4.6%
, 13
 
4.3%
3 13
 
4.3%
0 11
 
3.6%
4 9
 
3.0%
8 6
 
2.0%
Other values (5) 20
 
6.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
59.4%
ASCII 306
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
41.8%
1 37
 
12.1%
( 27
 
8.8%
) 27
 
8.8%
2 14
 
4.6%
, 13
 
4.2%
3 13
 
4.2%
0 11
 
3.6%
4 9
 
2.9%
8 6
 
2.0%
Other values (6) 21
 
6.9%
Hangul
ValueCountFrequency (%)
57
12.7%
42
 
9.4%
39
 
8.7%
32
 
7.1%
28
 
6.2%
28
 
6.2%
28
 
6.2%
28
 
6.2%
15
 
3.3%
9
 
2.0%
Other values (62) 142
31.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.913553
Minimum35.883444
Maximum35.94485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T04:20:49.719407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.883444
5-th percentile35.886004
Q135.889535
median35.91442
Q335.937182
95-th percentile35.943546
Maximum35.94485
Range0.061406
Interquartile range (IQR)0.0476475

Descriptive statistics

Standard deviation0.023008969
Coefficient of variation (CV)0.00064067649
Kurtosis-1.7248141
Mean35.913553
Median Absolute Deviation (MAD)0.024395
Skewness0.06500618
Sum1005.5795
Variance0.00052941266
MonotonicityNot monotonic
2023-12-11T04:20:49.894263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.94315 1
 
3.6%
35.92628 1
 
3.6%
35.9427735 1
 
3.6%
35.886 1
 
3.6%
35.91299 1
 
3.6%
35.92165 1
 
3.6%
35.88983 1
 
3.6%
35.90207 1
 
3.6%
35.94376 1
 
3.6%
35.9427 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35.883444 1
3.6%
35.886 1
3.6%
35.88601 1
3.6%
35.8867 1
3.6%
35.88773 1
3.6%
35.8882 1
3.6%
35.88865 1
3.6%
35.88983 1
3.6%
35.89008 1
3.6%
35.89776 1
3.6%
ValueCountFrequency (%)
35.94485 1
3.6%
35.94376 1
3.6%
35.94315 1
3.6%
35.9427735 1
3.6%
35.9427 1
3.6%
35.93887 1
3.6%
35.93779 1
3.6%
35.93698 1
3.6%
35.93576 1
3.6%
35.92913 1
3.6%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57758
Minimum128.54656
Maximum128.62339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T04:20:50.050267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.54656
5-th percentile128.54756
Q1128.55459
median128.57783
Q3128.59814
95-th percentile128.61549
Maximum128.62339
Range0.07683
Interquartile range (IQR)0.0435525

Descriptive statistics

Standard deviation0.025637746
Coefficient of variation (CV)0.00019939515
Kurtosis-1.4771011
Mean128.57758
Median Absolute Deviation (MAD)0.023665
Skewness0.23387685
Sum3600.1722
Variance0.00065729403
MonotonicityNot monotonic
2023-12-11T04:20:50.206918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.55046 1
 
3.6%
128.54771 1
 
3.6%
128.5570665 1
 
3.6%
128.58763 1
 
3.6%
128.5481 1
 
3.6%
128.59642 1
 
3.6%
128.58251 1
 
3.6%
128.60746 1
 
3.6%
128.56425 1
 
3.6%
128.55848 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
128.54656 1
3.6%
128.54748 1
3.6%
128.54771 1
3.6%
128.5481 1
3.6%
128.54895 1
3.6%
128.54927 1
3.6%
128.55046 1
3.6%
128.55596 1
3.6%
128.5570665 1
3.6%
128.55718 1
3.6%
ValueCountFrequency (%)
128.62339 1
3.6%
128.61652 1
3.6%
128.61358 1
3.6%
128.6081 1
3.6%
128.60772 1
3.6%
128.60746 1
3.6%
128.60329 1
3.6%
128.59642 1
3.6%
128.59301 1
3.6%
128.59143 1
3.6%

개설일
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1981-08-24 00:00:00
Maximum2019-06-07 00:00:00
2023-12-11T04:20:50.437542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:50.610021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업일
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing26
Missing (%)92.9%
Memory size356.0 B
2023-12-11T04:20:50.767447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row일요일
2nd row무휴
ValueCountFrequency (%)
일요일 1
50.0%
무휴 1
50.0%
2023-12-11T04:20:51.128774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

진료동물
Categorical

IMBALANCE 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
반려동물
25 
반려동물+가축+가금
 
1
반려동물+가축+가금+야생동물+수생동물+꿀벌
 
1
가축+가금
 
1

Length

Max length23
Median length4
Mean length4.9285714
Min length4

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row반려동물+가축+가금
2nd row반려동물+가축+가금+야생동물+수생동물+꿀벌
3rd row반려동물
4th row가축+가금
5th row반려동물

Common Values

ValueCountFrequency (%)
반려동물 25
89.3%
반려동물+가축+가금 1
 
3.6%
반려동물+가축+가금+야생동물+수생동물+꿀벌 1
 
3.6%
가축+가금 1
 
3.6%

Length

2023-12-11T04:20:51.285422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:51.411470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반려동물 25
89.3%
반려동물+가축+가금 1
 
3.6%
반려동물+가축+가금+야생동물+수생동물+꿀벌 1
 
3.6%
가축+가금 1
 
3.6%

진료수의사수
Categorical

IMBALANCE 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
23 
2
 
2
6
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row1
2nd row2
3rd row1
4th row6
5th row1

Common Values

ValueCountFrequency (%)
1 23
82.1%
2 2
 
7.1%
6 2
 
7.1%
5 1
 
3.6%

Length

2023-12-11T04:20:51.553298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:51.659520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
82.1%
2 2
 
7.1%
6 2
 
7.1%
5 1
 
3.6%
Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T04:20:51.908525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique26 ?
Unique (%)92.9%

Sample

1st row053-322-0041
2nd row053-950-6898
3rd row053-959-1523
4th row053-384-9907
5th row053-352-5630
ValueCountFrequency (%)
053-352-5630 2
 
7.1%
053-322-0041 1
 
3.6%
053-325-2530 1
 
3.6%
053-352-1998 1
 
3.6%
053-312-7975 1
 
3.6%
053-958-0075 1
 
3.6%
053-352-8277 1
 
3.6%
053-383-0075 1
 
3.6%
053-312-7553 1
 
3.6%
053-324-8875 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T04:20:52.361254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
19.0%
3 59
17.6%
- 56
16.7%
0 46
13.7%
2 26
7.7%
7 23
 
6.8%
9 18
 
5.4%
1 14
 
4.2%
8 13
 
3.9%
4 12
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
22.9%
3 59
21.1%
0 46
16.4%
2 26
9.3%
7 23
 
8.2%
9 18
 
6.4%
1 14
 
5.0%
8 13
 
4.6%
4 12
 
4.3%
6 5
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
19.0%
3 59
17.6%
- 56
16.7%
0 46
13.7%
2 26
7.7%
7 23
 
6.8%
9 18
 
5.4%
1 14
 
4.2%
8 13
 
3.9%
4 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
19.0%
3 59
17.6%
- 56
16.7%
0 46
13.7%
2 26
7.7%
7 23
 
6.8%
9 18
 
5.4%
1 14
 
4.2%
8 13
 
3.9%
4 12
 
3.6%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
053-665-3194
28 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-665-3194
2nd row053-665-3194
3rd row053-665-3194
4th row053-665-3194
5th row053-665-3194

Common Values

ValueCountFrequency (%)
053-665-3194 28
100.0%

Length

2023-12-11T04:20:52.539720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:52.666672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-665-3194 28
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
대구광역시 북구
28 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구
2nd row대구광역시 북구
3rd row대구광역시 북구
4th row대구광역시 북구
5th row대구광역시 북구

Common Values

ValueCountFrequency (%)
대구광역시 북구 28
100.0%

Length

2023-12-11T04:20:53.093254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:53.216235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 28
50.0%
북구 28
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2019-08-23 00:00:00
Maximum2019-08-23 00:00:00
2023-12-11T04:20:53.328076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:53.434768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T04:20:46.522224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:46.215724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:46.685253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:46.379079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:20:53.517533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병원명소재지 도로명주소위도경도개설일휴업일진료동물진료수의사수병원연락처
병원명1.0001.0001.0001.0001.0000.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.0000.0001.0001.0001.000
위도1.0001.0001.0000.7401.000NaN0.5590.0000.962
경도1.0001.0000.7401.0001.0000.0000.0000.5861.000
개설일1.0001.0001.0001.0001.0000.0001.0001.0001.000
휴업일0.0000.000NaN0.0000.0001.000NaN0.0000.000
진료동물1.0001.0000.5590.0001.000NaN1.0000.8401.000
진료수의사수1.0001.0000.0000.5861.0000.0000.8401.0001.000
병원연락처1.0001.0000.9621.0001.0000.0001.0001.0001.000
2023-12-11T04:20:53.672384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진료동물진료수의사수
진료동물1.0000.487
진료수의사수0.4871.000
2023-12-11T04:20:53.775664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도진료동물진료수의사수
위도1.000-0.5760.3010.000
경도-0.5761.0000.0000.342
진료동물0.3010.0001.0000.487
진료수의사수0.0000.3420.4871.000

Missing values

2023-12-11T04:20:46.908922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:20:47.212470image/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

시도명시군구명병원명소재지 도로명주소위도경도개설일휴업일진료동물진료수의사수병원연락처관리기관전화번호관리기관명데이터기준일자
0대구광역시북구동명동물병원대구광역시 북구 칠곡중앙대로 531 (읍내동)35.94315128.550461981-08-24<NA>반려동물+가축+가금1053-322-0041053-665-3194대구광역시 북구2019-08-23
1대구광역시북구경북대학교 수의과대학 부속동물병원대구광역시 북구 대학로 80 (산격동, 경북대학교 수의과대학)35.88773128.607721984-03-16<NA>반려동물+가축+가금+야생동물+수생동물+꿀벌2053-950-6898053-665-3194대구광역시 북구2019-08-23
2대구광역시북구복현동물병원대구광역시 북구 동북로 193 (산격동)35.89845128.613581992-04-13<NA>반려동물1053-959-1523053-665-3194대구광역시 북구2019-08-23
3대구광역시북구대구축협동물병원대구광역시 북구 검단북로 154 (검단동)35.91585128.623391992-07-16<NA>가축+가금6053-384-9907053-665-3194대구광역시 북구2019-08-23
4대구광역시북구경북가축병원대구광역시 북구 팔달로41길 12 (노원동2가)35.88865128.573151994-07-20<NA>반려동물1053-352-5630053-665-3194대구광역시 북구2019-08-23
5대구광역시북구칠곡종합동물병원대구광역시 북구 칠곡중앙대로 301, 102호 (태전동)35.92253128.546561999-04-21<NA>반려동물1053-352-5630053-665-3194대구광역시 북구2019-08-23
6대구광역시북구강동물병원대구광역시 북구 칠곡중앙대로 483 (관음동)35.93887128.549272001-02-13<NA>반려동물1053-325-7579053-665-3194대구광역시 북구2019-08-23
7대구광역시북구굿모닝동물병원대구광역시 북구 대천로 72-1 (동천동)35.93698128.557182003-05-16<NA>반려동물1053-743-2125053-665-3194대구광역시 북구2019-08-23
8대구광역시북구가나동물병원대구광역시 북구 산격로 109 (산격동)35.89949128.60812003-07-28<NA>반려동물1053-941-0075053-665-3194대구광역시 북구2019-08-23
9대구광역시북구늘푸른종합동물병원대구광역시 북구 칠곡중앙대로 471 (관음동)35.93779128.548952003-08-20<NA>반려동물1053-322-9075053-665-3194대구광역시 북구2019-08-23
시도명시군구명병원명소재지 도로명주소위도경도개설일휴업일진료동물진료수의사수병원연락처관리기관전화번호관리기관명데이터기준일자
18대구광역시북구플러스동물의료센터대구광역시 북구 침산남로 157 (침산동)35.8882128.593012012-09-17무휴반려동물6053-424-2455053-665-3194대구광역시 북구2019-08-23
19대구광역시북구태전동물병원대구광역시 북구 칠곡중앙대로 373 (태전동)35.92913128.547482013-01-22<NA>반려동물1053-357-7588053-665-3194대구광역시 북구2019-08-23
20대구광역시북구세븐동물병원대구광역시 북구 팔거천동로 210 (동천동)35.9427128.558482013-03-14<NA>반려동물1053-324-8875053-665-3194대구광역시 북구2019-08-23
21대구광역시북구키다리동물병원대구광역시 북구 학정로 440, 101호 (구암동, 동재빌딩)35.94376128.564252013-07-26<NA>반려동물2053-312-7553053-665-3194대구광역시 북구2019-08-23
22대구광역시북구올리브동물병원대구광역시 북구 동북로 131, 105동 108,9호 (산격동, 양우내안에아파트 상가)35.90207128.607462013-08-30<NA>반려동물1053-383-0075053-665-3194대구광역시 북구2019-08-23
23대구광역시북구대구24시동물병원대구광역시 북구 침산남로 61 (노원동1가)35.88983128.582512014-07-23<NA>반려동물1053-352-8277053-665-3194대구광역시 북구2019-08-23
24대구광역시북구가온동물병원대구광역시 북구 서변로 65-1 (서변동)35.92165128.596422015-03-31<NA>반려동물1053-958-0075053-665-3194대구광역시 북구2019-08-23
25대구광역시북구다온동물병원대구광역시 북구 칠곡중앙대로 189 (태전동)35.91299128.54812015-10-20<NA>반려동물1053-312-7975053-665-3194대구광역시 북구2019-08-23
26대구광역시북구신한동물병원대구광역시 북구 침산로21길 23 (칠성동2가, 침산1차푸르지오)35.886128.587632017-06-20<NA>반려동물1053-352-1998053-665-3194대구광역시 북구2019-08-23
27대구광역시북구동천 동물병원대구광역시 북구 동천로23길 3, 1층35.942774128.5570662019-06-07<NA>반려동물1053-323-8875053-665-3194대구광역시 북구2019-08-23