Overview

Dataset statistics

Number of variables6
Number of observations202
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory50.7 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description대구광역시 동물병원 현황(구군별)에 대한 데이터인 동물병원 소재지, 등록번호, 상호명 등에 대한 항목(정보)를 제공합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15010715/fileData.do

Alerts

번호 is highly overall correlated with 등록번호 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
시군구명 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:52:44.859386
Analysis finished2023-12-11 22:52:45.749074
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct202
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.5
Minimum1
Maximum202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T07:52:45.845123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.05
Q151.25
median101.5
Q3151.75
95-th percentile191.95
Maximum202
Range201
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation58.456537
Coefficient of variation (CV)0.57592647
Kurtosis-1.2
Mean101.5
Median Absolute Deviation (MAD)50.5
Skewness0
Sum20503
Variance3417.1667
MonotonicityStrictly increasing
2023-12-12T07:52:46.018449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
140 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
Other values (192) 192
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%

시군구명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
달서구
44 
수성구
43 
북구
33 
동구
21 
달성군
17 
Other values (4)
44 

Length

Max length3
Median length3
Mean length2.5594059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달서구 44
21.8%
수성구 43
21.3%
북구 33
16.3%
동구 21
10.4%
달성군 17
 
8.4%
중구 14
 
6.9%
남구 11
 
5.4%
서구 10
 
5.0%
군위군 9
 
4.5%

Length

2023-12-12T07:52:46.192436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:46.373096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 44
21.8%
수성구 43
21.3%
북구 33
16.3%
동구 21
10.4%
달성군 17
 
8.4%
중구 14
 
6.9%
남구 11
 
5.4%
서구 10
 
5.0%
군위군 9
 
4.5%

등록번호
Real number (ℝ)

HIGH CORRELATION 

Distinct123
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5268812 × 1017
Minimum3.41 × 1017
Maximum5.14 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T07:52:46.560236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.44 × 1017
median3.46 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum5.14 × 1017
Range1.73 × 1017
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation3.4980119 × 1016
Coefficient of variation (CV)0.099181449
Kurtosis17.821611
Mean3.5268812 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness4.4231203
Sum-2.5439761 × 1018
Variance1.2236087 × 1033
MonotonicityIncreasing
2023-12-12T07:52:46.710748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347000001020140000 5
 
2.5%
346000001020140000 5
 
2.5%
345000001020130000 4
 
2.0%
347000001020170000 4
 
2.0%
346000001020020000 4
 
2.0%
347000001020040000 4
 
2.0%
346000001020150000 4
 
2.0%
345000001020030000 3
 
1.5%
347000001020210000 3
 
1.5%
347000001020030000 3
 
1.5%
Other values (113) 163
80.7%
ValueCountFrequency (%)
341000001019900000 1
0.5%
341000001019980000 1
0.5%
341000001020030000 1
0.5%
341000001020040000 1
0.5%
341000001020050000 1
0.5%
341000001020110000 1
0.5%
341000001020130000 1
0.5%
341000001020150000 1
0.5%
341000001020170000 1
0.5%
341000001020180000 1
0.5%
ValueCountFrequency (%)
514000001020220000 1
0.5%
514000001020210000 2
1.0%
514000001020140000 1
0.5%
514000001020130000 1
0.5%
514000001019960000 1
0.5%
514000001019920000 1
0.5%
514000001019680000 1
0.5%
514000001019660000 1
0.5%
348000001020210000 1
0.5%
348000001020190000 1
0.5%

업체명
Text

Distinct201
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T07:52:46.936634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.5544554
Min length5

Characters and Unicode

Total characters1526
Distinct characters248
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

Unique200 ?
Unique (%)99.0%

Sample

1st row동인동물병원
2nd row고려애견종합병원
3rd row중부동물병원
4th row삼덕종합동물병원
5th row동산동물병원
ValueCountFrequency (%)
동물병원 25
 
10.2%
쿨펫동물병원 2
 
0.8%
온누리동물병원 1
 
0.4%
마음을 1
 
0.4%
읽어주는 1
 
0.4%
마음동물병원 1
 
0.4%
본동물메디컬센터 1
 
0.4%
24시수성점 1
 
0.4%
시지w동물의료센터 1
 
0.4%
리온동물병원 1
 
0.4%
Other values (209) 209
85.7%
2023-12-12T07:52:47.315845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 201
 
13.2%
물 196
 
12.8%
원 188
 
12.3%
병 180
 
11.8%
42
 
2.8%
합 24
 
1.6%
대 23
 
1.5%
종 19
 
1.2%
구 18
 
1.2%
센 17
 
1.1%
Other values (238) 618
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1438
94.2%
Space Separator 42
 
2.8%
Decimal Number 25
 
1.6%
Uppercase Letter 9
 
0.6%
Lowercase Letter 8
 
0.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 201
 
14.0%
물 196
 
13.6%
원 188
 
13.1%
병 180
 
12.5%
합 24
 
1.7%
대 23
 
1.6%
종 19
 
1.3%
구 18
 
1.3%
센 17
 
1.2%
스 17
 
1.2%
Other values (217) 555
38.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
W 1
11.1%
S 1
11.1%
K 1
11.1%
H 1
11.1%
L 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
n 2
25.0%
o 1
12.5%
i 1
12.5%
r 1
12.5%
y 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 11
44.0%
4 8
32.0%
1 3
 
12.0%
5 2
 
8.0%
9 1
 
4.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1438
94.2%
Common 71
 
4.7%
Latin 17
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 201
 
14.0%
물 196
 
13.6%
원 188
 
13.1%
병 180
 
12.5%
합 24
 
1.7%
대 23
 
1.6%
종 19
 
1.3%
구 18
 
1.3%
센 17
 
1.2%
스 17
 
1.2%
Other values (217) 555
38.6%
Latin
ValueCountFrequency (%)
a 2
11.8%
n 2
11.8%
B 2
11.8%
A 2
11.8%
o 1
 
5.9%
W 1
 
5.9%
S 1
 
5.9%
K 1
 
5.9%
i 1
 
5.9%
H 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
42
59.2%
2 11
 
15.5%
4 8
 
11.3%
1 3
 
4.2%
( 2
 
2.8%
) 2
 
2.8%
5 2
 
2.8%
9 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1438
94.2%
ASCII 88
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 201
 
14.0%
물 196
 
13.6%
원 188
 
13.1%
병 180
 
12.5%
합 24
 
1.7%
대 23
 
1.6%
종 19
 
1.3%
구 18
 
1.3%
센 17
 
1.2%
스 17
 
1.2%
Other values (217) 555
38.6%
ASCII
ValueCountFrequency (%)
42
47.7%
2 11
 
12.5%
4 8
 
9.1%
1 3
 
3.4%
( 2
 
2.3%
a 2
 
2.3%
) 2
 
2.3%
n 2
 
2.3%
B 2
 
2.3%
5 2
 
2.3%
Other values (11) 12
 
13.6%

소재지
Text

UNIQUE 

Distinct202
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T07:52:47.711172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length26.777228
Min length19

Characters and Unicode

Total characters5409
Distinct characters211
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

Unique202 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 국채보상로 724 (동인동4가)
2nd row대구광역시 중구 중앙대로 333 (남산동)
3rd row대구광역시 중구 달구벌대로 2114 (봉산동)
4th row대구광역시 중구 달구벌대로 2145-1(삼덕동1가)
5th row대구광역시 중구 서성로 34 (남성로)
ValueCountFrequency (%)
대구광역시 202
 
17.8%
달서구 44
 
3.9%
수성구 43
 
3.8%
북구 33
 
2.9%
달구벌대로 32
 
2.8%
1층 25
 
2.2%
동구 21
 
1.8%
달성군 17
 
1.5%
중구 14
 
1.2%
2층 13
 
1.1%
Other values (421) 692
60.9%
2023-12-12T07:52:48.314672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
934
 
17.3%
구 428
 
7.9%
대 290
 
5.4%
동 229
 
4.2%
시 206
 
3.8%
1 205
 
3.8%
역 204
 
3.8%
광 203
 
3.8%
로 194
 
3.6%
) 176
 
3.3%
Other values (201) 2340
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3209
59.3%
Space Separator 934
 
17.3%
Decimal Number 786
 
14.5%
Close Punctuation 176
 
3.3%
Open Punctuation 176
 
3.3%
Other Punctuation 100
 
1.8%
Dash Punctuation 20
 
0.4%
Uppercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 428
 
13.3%
대 290
 
9.0%
동 229
 
7.1%
시 206
 
6.4%
역 204
 
6.4%
광 203
 
6.3%
로 194
 
6.0%
달 98
 
3.1%
성 89
 
2.8%
서 71
 
2.2%
Other values (178) 1197
37.3%
Decimal Number
ValueCountFrequency (%)
1 205
26.1%
2 137
17.4%
4 88
11.2%
3 78
 
9.9%
0 68
 
8.7%
6 53
 
6.7%
5 49
 
6.2%
8 42
 
5.3%
7 35
 
4.5%
9 31
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
M 1
16.7%
V 1
16.7%
I 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 99
99.0%
/ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
934
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3209
59.3%
Common 2193
40.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 428
 
13.3%
대 290
 
9.0%
동 229
 
7.1%
시 206
 
6.4%
역 204
 
6.4%
광 203
 
6.3%
로 194
 
6.0%
달 98
 
3.1%
성 89
 
2.8%
서 71
 
2.2%
Other values (178) 1197
37.3%
Common
ValueCountFrequency (%)
934
42.6%
1 205
 
9.3%
) 176
 
8.0%
( 176
 
8.0%
2 137
 
6.2%
. 99
 
4.5%
4 88
 
4.0%
3 78
 
3.6%
0 68
 
3.1%
6 53
 
2.4%
Other values (7) 179
 
8.2%
Latin
ValueCountFrequency (%)
A 2
28.6%
M 1
14.3%
V 1
14.3%
I 1
14.3%
P 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3209
59.3%
ASCII 2200
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
934
42.5%
1 205
 
9.3%
) 176
 
8.0%
( 176
 
8.0%
2 137
 
6.2%
. 99
 
4.5%
4 88
 
4.0%
3 78
 
3.5%
0 68
 
3.1%
6 53
 
2.4%
Other values (13) 186
 
8.5%
Hangul
ValueCountFrequency (%)
구 428
 
13.3%
대 290
 
9.0%
동 229
 
7.1%
시 206
 
6.4%
역 204
 
6.4%
광 203
 
6.3%
로 194
 
6.0%
달 98
 
3.1%
성 89
 
2.8%
서 71
 
2.2%
Other values (178) 1197
37.3%

신고일자
Text

Distinct194
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T07:52:48.732107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9554455
Min length1

Characters and Unicode

Total characters2011
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

Unique186 ?
Unique (%)92.1%

Sample

1st row1990-05-21
2nd row1998-10-09
3rd row2003-06-19
4th row2004-12-02
5th row2005-03-08
ValueCountFrequency (%)
1990-05-21 2
 
1.0%
2006-04-21 2
 
1.0%
1981-08-24 2
 
1.0%
2020-05-27 2
 
1.0%
2015-04-10 2
 
1.0%
2022-11-23 2
 
1.0%
2003-01-15 2
 
1.0%
2012-04-27 2
 
1.0%
2023-06-01 1
 
0.5%
1996-03-11 1
 
0.5%
Other values (183) 183
91.0%
2023-12-12T07:52:49.233609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 503
25.0%
- 402
20.0%
2 372
18.5%
1 283
14.1%
9 79
 
3.9%
3 71
 
3.5%
4 68
 
3.4%
5 65
 
3.2%
7 59
 
2.9%
6 55
 
2.7%
Other values (2) 54
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1608
80.0%
Dash Punctuation 402
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 503
31.3%
2 372
23.1%
1 283
17.6%
9 79
 
4.9%
3 71
 
4.4%
4 68
 
4.2%
5 65
 
4.0%
7 59
 
3.7%
6 55
 
3.4%
8 53
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 503
25.0%
- 402
20.0%
2 372
18.5%
1 283
14.1%
9 79
 
3.9%
3 71
 
3.5%
4 68
 
3.4%
5 65
 
3.2%
7 59
 
2.9%
6 55
 
2.7%
Other values (2) 54
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 503
25.0%
- 402
20.0%
2 372
18.5%
1 283
14.1%
9 79
 
3.9%
3 71
 
3.5%
4 68
 
3.4%
5 65
 
3.2%
7 59
 
2.9%
6 55
 
2.7%
Other values (2) 54
 
2.7%

Interactions

2023-12-12T07:52:45.386561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:45.145511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:45.477228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:45.240369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:52:49.370477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군구명등록번호
번호1.0000.9070.775
시군구명0.9071.0001.000
등록번호0.7751.0001.000
2023-12-12T07:52:49.479768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록번호시군구명
번호1.0001.0000.714
등록번호1.0001.0000.982
시군구명0.7140.9821.000

Missing values

2023-12-12T07:52:45.591420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:52:45.699658image/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

번호시군구명등록번호업체명소재지신고일자
01중구341000001019900000동인동물병원대구광역시 중구 국채보상로 724 (동인동4가)1990-05-21
12중구341000001019980000고려애견종합병원대구광역시 중구 중앙대로 333 (남산동)1998-10-09
23중구341000001020030000중부동물병원대구광역시 중구 달구벌대로 2114 (봉산동)2003-06-19
34중구341000001020040000삼덕종합동물병원대구광역시 중구 달구벌대로 2145-1(삼덕동1가)2004-12-02
45중구341000001020050000동산동물병원대구광역시 중구 서성로 34 (남성로)2005-03-08
56중구341000001020110000오원석 황금동물병원대구광역시 중구 동덕로 56-3 (대봉동)2011-02-15
67중구341000001020130000대구축산 동물병원대구광역시 중구 대봉로 278 (대봉동)2013-07-24
78중구341000001020150000대구S동물병원대구광역시 중구 달구벌대로 1975 (대신동. 태왕아너스스카이 상가 101호. 102호. 103호)2015-03-20
89중구341000001020170000달성공원 동물병원대구광역시 중구 달성공원로 35. 달성공원 (달성동)2017-12-22
910중구341000001020180000원동물병원대구광역시 중구 동덕로8길 2 (대봉동)2018-03-21
번호시군구명등록번호업체명소재지신고일자
192193달성군348000001020210000디에스 동물메디컬대구광역시 달성군 다사읍 죽곡1길 13-3. 주순빌딩 201호2021-06-22
193194군위군514000001019660000의흥가축병원대구광역시 군위군 의흥면 읍내길 43-131966-06-01
194195군위군514000001019680000대구가축병원대구광역시 군위군 군위읍 중앙길 122-11968-02-10
195196군위군514000001019920000도수의과가축병원대구광역시 군위군 군위읍 군청로 1231992-10-07
196197군위군514000001019960000박성준 동물병원대구광역시 군위군 군위읍 중앙길 46. 등용문학원1996-05-17
197198군위군514000001020130000우성동물병원대구광역시 군위군 군위읍 중앙1길 172005-06-15
198199군위군514000001020140000버팔로 동물병원대구광역시 군위군 군위읍 중앙길 232014-10-02
199200군위군514000001020210000와이제이클리닉대구광역시 군위군 군위읍 중앙1길 152021-01-11
200201군위군514000001020210000군위축협 동물병원대구광역시 군위군 군위읍 군청로 49-33. A동 1층2021-11-25
201202군위군514000001020220000군위종합동물병원대구광역시 군위군 군위읍 중앙1길 15. 1층2022-12-07