Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory62.7 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description도내 야생동물이 다쳤을 때 진료가 가능한 야생동물 진료소 운영 현황입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15015685

Alerts

야간 연락처 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 야간 연락처High correlation
연번 is highly overall correlated with 야간 연락처High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:12:49.950826
Analysis finished2023-12-10 23:12:50.477283
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.043478
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T08:12:50.548361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum24
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.8588248
Coefficient of variation (CV)0.56950531
Kurtosis-1.1360396
Mean12.043478
Median Absolute Deviation (MAD)6
Skewness0.040424465
Sum277
Variance47.043478
MonotonicityStrictly increasing
2023-12-11T08:12:50.658037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
24 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
24 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시군
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:12:50.818617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length3.2608696
Min length2

Characters and Unicode

Total characters75
Distinct characters33
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

Unique21 ?
Unique (%)91.3%

Sample

1st row창원(의창구)
2nd row창원(성산구)
3rd row창원(마산합포구)
4th row창원(마산회원구)
5th row창원(진해구)
ValueCountFrequency (%)
진주 2
 
8.7%
창원(의창구 1
 
4.3%
의령 1
 
4.3%
거창 1
 
4.3%
함양 1
 
4.3%
산청 1
 
4.3%
하동 1
 
4.3%
남해 1
 
4.3%
고성 1
 
4.3%
창녕 1
 
4.3%
Other values (12) 12
52.2%
2023-12-11T08:12:51.185708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
10.7%
6
 
8.0%
( 5
 
6.7%
5
 
6.7%
) 5
 
6.7%
5
 
6.7%
3
 
4.0%
3
 
4.0%
3
 
4.0%
2
 
2.7%
Other values (23) 30
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
86.7%
Open Punctuation 5
 
6.7%
Close Punctuation 5
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
12.3%
6
 
9.2%
5
 
7.7%
5
 
7.7%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Other values (21) 26
40.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
86.7%
Common 10
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
12.3%
6
 
9.2%
5
 
7.7%
5
 
7.7%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Other values (21) 26
40.0%
Common
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
86.7%
ASCII 10
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
12.3%
6
 
9.2%
5
 
7.7%
5
 
7.7%
3
 
4.6%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Other values (21) 26
40.0%
ASCII
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%
Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:12:51.381801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.5217391
Min length5

Characters and Unicode

Total characters219
Distinct characters57
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)69.6%

Sample

1st row도그플러스동물병원
2nd row용동물병원
3rd row부산동물병원
4th row창생동물병원
5th row용원동물병원
ValueCountFrequency (%)
경상남도 7
22.6%
야생동물구조관리센터 7
22.6%
도그플러스동물병원 1
 
3.2%
우리들동물병원 1
 
3.2%
우방가축병원 1
 
3.2%
하나동물병원 1
 
3.2%
제일가축병원 1
 
3.2%
광진동물병원 1
 
3.2%
수의과병원 1
 
3.2%
1
 
3.2%
Other values (9) 9
29.0%
2023-12-11T08:12:51.720257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
9.6%
21
 
9.6%
19
 
8.7%
17
 
7.8%
8
 
3.7%
8
 
3.7%
8
 
3.7%
8
 
3.7%
8
 
3.7%
7
 
3.2%
Other values (47) 94
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
95.0%
Space Separator 8
 
3.7%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
10.1%
21
 
10.1%
19
 
9.1%
17
 
8.2%
8
 
3.8%
8
 
3.8%
8
 
3.8%
8
 
3.8%
7
 
3.4%
7
 
3.4%
Other values (43) 84
40.4%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
95.0%
Common 11
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
10.1%
21
 
10.1%
19
 
9.1%
17
 
8.2%
8
 
3.8%
8
 
3.8%
8
 
3.8%
8
 
3.8%
7
 
3.4%
7
 
3.4%
Other values (43) 84
40.4%
Common
ValueCountFrequency (%)
8
72.7%
) 1
 
9.1%
( 1
 
9.1%
. 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
95.0%
ASCII 11
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
 
10.1%
21
 
10.1%
19
 
9.1%
17
 
8.2%
8
 
3.8%
8
 
3.8%
8
 
3.8%
8
 
3.8%
7
 
3.4%
7
 
3.4%
Other values (43) 84
40.4%
ASCII
ValueCountFrequency (%)
8
72.7%
) 1
 
9.1%
( 1
 
9.1%
. 1
 
9.1%
Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:12:51.948392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.826087
Min length15

Characters and Unicode

Total characters502
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)69.6%

Sample

1st row경상남도 창원시 의창구 창원대로 415
2nd row경상남도 창원시 성산구 단정로 10
3rd row경상남도 창원시 마산합포구 3.15대로 437
4th row경상남도 창원시 마산회원구 석전남9길 37-1
5th row경상남도 창원시 진해구 용원로 36-1
ValueCountFrequency (%)
경상남도 23
22.3%
진주대로 7
 
6.8%
501(경상대학교내 7
 
6.8%
진주시 7
 
6.8%
창원시 5
 
4.9%
중앙로 2
 
1.9%
교하리 1
 
1.0%
동외로 1
 
1.0%
고성읍 1
 
1.0%
고성군 1
 
1.0%
Other values (48) 48
46.6%
2023-12-11T08:12:52.269085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
15.9%
31
 
6.2%
30
 
6.0%
24
 
4.8%
23
 
4.6%
20
 
4.0%
1 19
 
3.8%
17
 
3.4%
17
 
3.4%
15
 
3.0%
Other values (62) 226
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
64.9%
Space Separator 80
 
15.9%
Decimal Number 73
 
14.5%
Open Punctuation 9
 
1.8%
Close Punctuation 9
 
1.8%
Dash Punctuation 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
9.5%
30
 
9.2%
24
 
7.4%
23
 
7.1%
20
 
6.1%
17
 
5.2%
17
 
5.2%
15
 
4.6%
14
 
4.3%
11
 
3.4%
Other values (47) 124
38.0%
Decimal Number
ValueCountFrequency (%)
1 19
26.0%
5 13
17.8%
0 9
12.3%
3 8
11.0%
7 7
 
9.6%
4 5
 
6.8%
2 4
 
5.5%
9 3
 
4.1%
8 3
 
4.1%
6 2
 
2.7%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
64.9%
Common 176
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
9.5%
30
 
9.2%
24
 
7.4%
23
 
7.1%
20
 
6.1%
17
 
5.2%
17
 
5.2%
15
 
4.6%
14
 
4.3%
11
 
3.4%
Other values (47) 124
38.0%
Common
ValueCountFrequency (%)
80
45.5%
1 19
 
10.8%
5 13
 
7.4%
0 9
 
5.1%
( 9
 
5.1%
) 9
 
5.1%
3 8
 
4.5%
7 7
 
4.0%
4 5
 
2.8%
- 4
 
2.3%
Other values (5) 13
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
64.9%
ASCII 176
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
45.5%
1 19
 
10.8%
5 13
 
7.4%
0 9
 
5.1%
( 9
 
5.1%
) 9
 
5.1%
3 8
 
4.5%
7 7
 
4.0%
4 5
 
2.8%
- 4
 
2.3%
Other values (5) 13
 
7.4%
Hangul
ValueCountFrequency (%)
31
 
9.5%
30
 
9.2%
24
 
7.4%
23
 
7.1%
20
 
6.1%
17
 
5.2%
17
 
5.2%
15
 
4.6%
14
 
4.3%
11
 
3.4%
Other values (47) 124
38.0%
Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:12:52.436888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique16 ?
Unique (%)69.6%

Sample

1st row055-276-8275
2nd row055-286-7511
3rd row055-243-8104
4th row055-299-0075
5th row055-543-7523
ValueCountFrequency (%)
055-754-9575 7
30.4%
055-276-8275 1
 
4.3%
055-635-7682 1
 
4.3%
055-974-0074 1
 
4.3%
055-884-8274 1
 
4.3%
055-674-7343 1
 
4.3%
055-532-0636 1
 
4.3%
055-572-2267 1
 
4.3%
055-388-8275 1
 
4.3%
055-353-6666 1
 
4.3%
Other values (7) 7
30.4%
2023-12-11T08:12:52.751745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 79
28.6%
- 46
16.7%
7 31
 
11.2%
0 29
 
10.5%
4 19
 
6.9%
6 15
 
5.4%
2 15
 
5.4%
8 14
 
5.1%
3 13
 
4.7%
9 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 79
34.3%
7 31
 
13.5%
0 29
 
12.6%
4 19
 
8.3%
6 15
 
6.5%
2 15
 
6.5%
8 14
 
6.1%
3 13
 
5.7%
9 12
 
5.2%
1 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 79
28.6%
- 46
16.7%
7 31
 
11.2%
0 29
 
10.5%
4 19
 
6.9%
6 15
 
5.4%
2 15
 
5.4%
8 14
 
5.1%
3 13
 
4.7%
9 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 79
28.6%
- 46
16.7%
7 31
 
11.2%
0 29
 
10.5%
4 19
 
6.9%
6 15
 
5.4%
2 15
 
5.4%
8 14
 
5.1%
3 13
 
4.7%
9 12
 
4.3%

야간 연락처
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
16 
055-754-9575

Length

Max length12
Median length4
Mean length6.4347826
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
69.6%
055-754-9575 7
30.4%

Length

2023-12-11T08:12:52.913794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:53.018667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
69.6%
055-754-9575 7
30.4%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1차진료소
16 
3차진료소

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1차진료소
2nd row1차진료소
3rd row1차진료소
4th row1차진료소
5th row1차진료소

Common Values

ValueCountFrequency (%)
1차진료소 16
69.6%
3차진료소 7
30.4%

Length

2023-12-11T08:12:53.355274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:53.438088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차진료소 16
69.6%
3차진료소 7
30.4%

Interactions

2023-12-11T08:12:50.218307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:53.499881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군진료소명소재지주간 연락처비고
연번1.0000.8910.5460.5460.5460.274
시군0.8911.0001.0001.0001.0001.000
진료소명0.5461.0001.0001.0001.0001.000
소재지0.5461.0001.0001.0001.0001.000
주간 연락처0.5461.0001.0001.0001.0001.000
비고0.2741.0001.0001.0001.0001.000
2023-12-11T08:12:53.616154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
야간 연락처비고
야간 연락처1.0001.000
비고1.0001.000
2023-12-11T08:12:53.715286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번야간 연락처비고
연번1.0001.0000.097
야간 연락처1.0001.0001.000
비고0.0971.0001.000

Missing values

2023-12-11T08:12:50.314930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:50.428926image/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

연번시군진료소명소재지주간 연락처야간 연락처비고
01창원(의창구)도그플러스동물병원경상남도 창원시 의창구 창원대로 415055-276-8275<NA>1차진료소
12창원(성산구)용동물병원경상남도 창원시 성산구 단정로 10055-286-7511<NA>1차진료소
23창원(마산합포구)부산동물병원경상남도 창원시 마산합포구 3.15대로 437055-243-8104<NA>1차진료소
34창원(마산회원구)창생동물병원경상남도 창원시 마산회원구 석전남9길 37-1055-299-0075<NA>1차진료소
45창원(진해구)용원동물병원경상남도 창원시 진해구 용원로 36-1055-543-7523<NA>1차진료소
56진주경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
67통영승원동물병원경상남도 통영시중앙로 233(북신동)055-646-6888<NA>1차진료소
78사천경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
89김해세계로동물종합병원경상남도 김해시 내외중앙로 75(내동)055-323-8275<NA>1차진료소
910밀양대웅동물병원경상남도 밀양시 중앙로 384-1055-353-6666<NA>1차진료소
연번시군진료소명소재지주간 연락처야간 연락처비고
1314함안경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
1415창녕광진동물병원경상남도 창녕군 창녕읍 교하리 237055-532-0636<NA>1차진료소
1516고성제일가축병원경상남도 고성군 고성읍 동외로 185055-674-7343<NA>1차진료소
1617남해경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
1718하동하나동물병원경상남도 하동군 하동읍 경서대로 154055-884-8274<NA>1차진료소
1819산청우방가축병원경상남도 산청군 산청읍 산청리 중앙로 21055-974-0074<NA>1차진료소
1920함양경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
2021거창보현동물병원경상남도 거창읍 창동로 75055-944-5779<NA>1차진료소
2122합천경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소
2224진주경상남도 야생동물구조관리센터경상남도 진주시 진주대로 501(경상대학교내)055-754-9575055-754-95753차진료소