Overview

Dataset statistics

Number of variables9
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory81.0 B

Variable types

Text3
Numeric2
DateTime2
Categorical2

Dataset

Description경상남도 양산시 동물 병원 현황에 대한 파일데이터입니다. 병원명, 주소, 개설일자, 연락처 등의 정보를 포함하고 있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074052

Alerts

출처 has constant value ""Constant
기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
병원명 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
개설일자 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:38:40.021449
Analysis finished2023-12-11 00:38:41.160123
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병원명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T09:38:41.300000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.8636364
Min length5

Characters and Unicode

Total characters151
Distinct characters58
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row낙동가축병원
2nd row가온동물병원
3rd row연합동물병원
4th row웅상동물병원
5th row보계동물병원
ValueCountFrequency (%)
낙동가축병원 1
 
4.5%
가온동물병원 1
 
4.5%
더나은동물병원 1
 
4.5%
힐스동물병원 1
 
4.5%
양산24시s동물메디컬센터 1
 
4.5%
신세계동물의료센터 1
 
4.5%
서창사랑동물벼우언 1
 
4.5%
준동물병원 1
 
4.5%
수동물병원 1
 
4.5%
해동물병원 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T09:38:41.664363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
 
14.6%
물 21
 
13.9%
병 17
 
11.3%
원 17
 
11.3%
센 4
 
2.6%
터 4
 
2.6%
스 3
 
2.0%
메 2
 
1.3%
산 2
 
1.3%
양 2
 
1.3%
Other values (48) 57
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
98.0%
Decimal Number 2
 
1.3%
Uppercase Letter 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
14.9%
물 21
 
14.2%
병 17
 
11.5%
원 17
 
11.5%
센 4
 
2.7%
터 4
 
2.7%
스 3
 
2.0%
메 2
 
1.4%
산 2
 
1.4%
양 2
 
1.4%
Other values (45) 54
36.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
98.0%
Common 2
 
1.3%
Latin 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
14.9%
물 21
 
14.2%
병 17
 
11.5%
원 17
 
11.5%
센 4
 
2.7%
터 4
 
2.7%
스 3
 
2.0%
메 2
 
1.4%
산 2
 
1.4%
양 2
 
1.4%
Other values (45) 54
36.5%
Common
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
98.0%
ASCII 3
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
14.9%
물 21
 
14.2%
병 17
 
11.5%
원 17
 
11.5%
센 4
 
2.7%
터 4
 
2.7%
스 3
 
2.0%
메 2
 
1.4%
산 2
 
1.4%
양 2
 
1.4%
Other values (45) 54
36.5%
ASCII
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
S 1
33.3%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T09:38:41.914195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27.5
Mean length21.909091
Min length15

Characters and Unicode

Total characters482
Distinct characters65
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 물금읍 오봉로 23,황전아파트 상가 205호
2nd row경상남도 양산시 물금읍 백호로 96, 201호
3rd row경상남도 양산시 북안남2길 26
4th row경상남도 양산시 덕계로 66
5th row경상남도 양산시 양주2길 11
ValueCountFrequency (%)
경상남도 22
19.5%
양산시 22
19.5%
물금읍 10
 
8.8%
201호 3
 
2.7%
덕계로 2
 
1.8%
18 2
 
1.8%
동면 2
 
1.8%
삽량로 2
 
1.8%
증산역로 2
 
1.8%
159 2
 
1.8%
Other values (43) 44
38.9%
2023-12-11T09:38:42.376224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
18.9%
1 26
 
5.4%
산 25
 
5.2%
상 24
 
5.0%
남 23
 
4.8%
양 23
 
4.8%
경 22
 
4.6%
도 22
 
4.6%
시 22
 
4.6%
3 14
 
2.9%
Other values (55) 190
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
58.7%
Decimal Number 94
 
19.5%
Space Separator 91
 
18.9%
Other Punctuation 10
 
2.1%
Dash Punctuation 3
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
8.8%
상 24
 
8.5%
남 23
 
8.1%
양 23
 
8.1%
경 22
 
7.8%
도 22
 
7.8%
시 22
 
7.8%
로 13
 
4.6%
금 12
 
4.2%
물 11
 
3.9%
Other values (41) 86
30.4%
Decimal Number
ValueCountFrequency (%)
1 26
27.7%
3 14
14.9%
2 14
14.9%
0 11
11.7%
9 7
 
7.4%
6 6
 
6.4%
8 5
 
5.3%
5 4
 
4.3%
7 4
 
4.3%
4 3
 
3.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
58.7%
Common 198
41.1%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 25
 
8.8%
상 24
 
8.5%
남 23
 
8.1%
양 23
 
8.1%
경 22
 
7.8%
도 22
 
7.8%
시 22
 
7.8%
로 13
 
4.6%
금 12
 
4.2%
물 11
 
3.9%
Other values (41) 86
30.4%
Common
ValueCountFrequency (%)
91
46.0%
1 26
 
13.1%
3 14
 
7.1%
2 14
 
7.1%
0 11
 
5.6%
, 10
 
5.1%
9 7
 
3.5%
6 6
 
3.0%
8 5
 
2.5%
5 4
 
2.0%
Other values (3) 10
 
5.1%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
58.7%
ASCII 199
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
45.7%
1 26
 
13.1%
3 14
 
7.0%
2 14
 
7.0%
0 11
 
5.5%
, 10
 
5.0%
9 7
 
3.5%
6 6
 
3.0%
8 5
 
2.5%
5 4
 
2.0%
Other values (4) 11
 
5.5%
Hangul
ValueCountFrequency (%)
산 25
 
8.8%
상 24
 
8.5%
남 23
 
8.1%
양 23
 
8.1%
경 22
 
7.8%
도 22
 
7.8%
시 22
 
7.8%
로 13
 
4.6%
금 12
 
4.2%
물 11
 
3.9%
Other values (41) 86
30.4%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.346085
Minimum35.30717
Maximum35.491284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T09:38:42.533486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.30717
5-th percentile35.307264
Q135.316765
median35.33247
Q335.351735
95-th percentile35.413981
Maximum35.491284
Range0.1841139
Interquartile range (IQR)0.034970275

Descriptive statistics

Standard deviation0.044515214
Coefficient of variation (CV)0.00125941
Kurtosis4.5440334
Mean35.346085
Median Absolute Deviation (MAD)0.0179768
Skewness2.0211877
Sum777.61386
Variance0.0019816042
MonotonicityNot monotonic
2023-12-11T09:38:42.705686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
35.3262068 1
 
4.5%
35.3536424 1
 
4.5%
35.3072085 1
 
4.5%
35.3071704 1
 
4.5%
35.3381273 1
 
4.5%
35.3083123 1
 
4.5%
35.3137217 1
 
4.5%
35.4140724 1
 
4.5%
35.3139252 1
 
4.5%
35.3274822 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
35.3071704 1
4.5%
35.3072085 1
4.5%
35.3083123 1
4.5%
35.3137217 1
4.5%
35.3139252 1
4.5%
35.3150611 1
4.5%
35.3218769 1
4.5%
35.3262068 1
4.5%
35.3274735 1
4.5%
35.3274822 1
4.5%
ValueCountFrequency (%)
35.4912843 1
4.5%
35.4140724 1
4.5%
35.412235 1
4.5%
35.3765851 1
4.5%
35.3737657 1
4.5%
35.3536424 1
4.5%
35.3460141 1
4.5%
35.339431 1
4.5%
35.3381273 1
4.5%
35.3353281 1
4.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.03411
Minimum128.9678
Maximum129.16518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T09:38:42.880423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.9678
5-th percentile128.98359
Q1128.99863
median129.01397
Q3129.03744
95-th percentile129.15094
Maximum129.16518
Range0.1973765
Interquartile range (IQR)0.038810975

Descriptive statistics

Standard deviation0.055094627
Coefficient of variation (CV)0.00042697722
Kurtosis1.3276124
Mean129.03411
Median Absolute Deviation (MAD)0.0181134
Skewness1.486501
Sum2838.7505
Variance0.0030354179
MonotonicityNot monotonic
2023-12-11T09:38:43.019951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.0135718 2
 
9.1%
128.9965299 1
 
4.5%
128.9951803 1
 
4.5%
128.9677994 1
 
4.5%
128.9831203 1
 
4.5%
129.0143652 1
 
4.5%
129.0080398 1
 
4.5%
128.9924368 1
 
4.5%
129.1651759 1
 
4.5%
128.9975236 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
128.9677994 1
4.5%
128.9831203 1
4.5%
128.9924368 1
4.5%
128.9951803 1
4.5%
128.9965299 1
4.5%
128.9975236 1
4.5%
129.0019568 1
4.5%
129.0080398 1
4.5%
129.0104941 1
4.5%
129.0135718 2
9.1%
ValueCountFrequency (%)
129.1651759 1
4.5%
129.1510542 1
4.5%
129.1486942 1
4.5%
129.0847858 1
4.5%
129.0554403 1
4.5%
129.0383749 1
4.5%
129.0346468 1
4.5%
129.0284784 1
4.5%
129.0256494 1
4.5%
129.0235985 1
4.5%

개설일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1993-03-23 00:00:00
Maximum2020-07-06 00:00:00
2023-12-11T09:38:43.157259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:43.264861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

종사원
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
17 
4
2 
2
2 
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
77.3%
4 2
 
9.1%
2 2
 
9.1%
7 1
 
4.5%

Length

2023-12-11T09:38:43.366158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:43.468472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
77.3%
4 2
 
9.1%
2 2
 
9.1%
7 1
 
4.5%

연락처
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T09:38:43.620605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters266
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

Unique20 ?
Unique (%)90.9%

Sample

1st row055-384-6585
2nd row055-387-8256
3rd row055-387-8805
4th row055-366-0300
5th row055-374-0488
ValueCountFrequency (%)
055-382-2475 2
 
9.1%
055-384-6585 1
 
4.5%
055-781-2275 1
 
4.5%
055-388-8275 1
 
4.5%
055-367-9123 1
 
4.5%
055-785-2275 1
 
4.5%
055-381-7532 1
 
4.5%
055-388-7545 1
 
4.5%
055-389-2075 1
 
4.5%
055-383-7851 1
 
4.5%
Other values (11) 11
50.0%
2023-12-11T09:38:43.939726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 62
23.3%
- 44
16.5%
0 30
11.3%
8 27
10.2%
7 27
10.2%
3 25
9.4%
2 16
 
6.0%
6 12
 
4.5%
4 9
 
3.4%
1 8
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
27.9%
0 30
13.5%
8 27
12.2%
7 27
12.2%
3 25
11.3%
2 16
 
7.2%
6 12
 
5.4%
4 9
 
4.1%
1 8
 
3.6%
9 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 62
23.3%
- 44
16.5%
0 30
11.3%
8 27
10.2%
7 27
10.2%
3 25
9.4%
2 16
 
6.0%
6 12
 
4.5%
4 9
 
3.4%
1 8
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 62
23.3%
- 44
16.5%
0 30
11.3%
8 27
10.2%
7 27
10.2%
3 25
9.4%
2 16
 
6.0%
6 12
 
4.5%
4 9
 
3.4%
1 8
 
3.0%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
기본현황
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 22
100.0%

Length

2023-12-11T09:38:44.078143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:44.196768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 22
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2021-08-06 00:00:00
Maximum2021-08-06 00:00:00
2023-12-11T09:38:44.284818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:44.375123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:38:40.671003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:40.408430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:40.782375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:40.537726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:38:44.458485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병원명주소위도경도개설일자종사원연락처
병원명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.8741.0000.0001.000
경도1.0001.0000.8741.0001.0000.0001.000
개설일자1.0001.0001.0001.0001.0001.0001.000
종사원1.0001.0000.0000.0001.0001.0000.000
연락처1.0001.0001.0001.0001.0000.0001.000
2023-12-11T09:38:44.607263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종사원
위도1.0000.9520.000
경도0.9521.0000.000
종사원0.0000.0001.000

Missing values

2023-12-11T09:38:40.929669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:38:41.090473image/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

병원명주소위도경도개설일자종사원연락처출처기준일자
0낙동가축병원경상남도 양산시 물금읍 오봉로 23,황전아파트 상가 205호35.326207128.996531993-03-231055-384-6585기본현황2021-08-06
1가온동물병원경상남도 양산시 물금읍 백호로 96, 201호35.321877128.995181997-02-191055-387-8256기본현황2021-08-06
2연합동물병원경상남도 양산시 북안남2길 2635.346014129.0346472020-07-061055-387-8805기본현황2021-08-06
3웅상동물병원경상남도 양산시 덕계로 6635.373766129.1486942002-09-091055-366-0300기본현황2021-08-06
4보계동물병원경상남도 양산시 양주2길 1135.339431129.0284782003-05-101055-374-0488기본현황2021-08-06
5통도동물병원경상남도 양산시 하북면 신평로 3435.491284129.0847862003-08-261055-382-7871기본현황2021-08-06
6양산동물메디컬센터경상남도 양산시 삽량로 17535.335328129.0235982005-05-0610507-1412-0177기본현황2021-08-06
7웅상프랜드동물병원경상남도 양산시 덕계로 10335.376585129.1510542006-07-211055-364-7585기본현황2021-08-06
8영남동물병원경상남도 양산시 상북면 반회서3길 1835.412235129.055442010-01-121055-375-9933기본현황2021-08-06
9힘참동물병원경상남도 양산시 물금읍 화합10길 1935.329746129.0104942010-12-271055-388-7975기본현황2021-08-06
병원명주소위도경도개설일자종사원연락처출처기준일자
12나우동물병원경상남도 양산시 신기강변2길 3735.353642129.0383752016-04-214055-383-7851기본현황2021-08-06
13해동물병원경상남도 양산시 물금읍 청운로 349, 103-2호35.327474129.0135722016-06-071055-389-2075기본현황2021-08-06
14수동물병원경상남도 양산시 동면 금오13길 18, 101호35.327482129.0135722016-11-171055-388-7545기본현황2021-08-06
15준동물병원경상남도 양산시 물금읍 증산역로 138, 201호35.313925128.9975242016-11-181055-381-7532기본현황2021-08-06
16서창사랑동물벼우언경상남도 양산시 삼호1길 36-1335.414072129.1651762017-03-082055-785-2275기본현황2021-08-06
17신세계동물의료센터경상남도 양산시 물금읍 새실로 15935.313722128.9924372017-03-232055-367-9123기본현황2021-08-06
18양산24시S동물메디컬센터경상남도 양산시 물금읍 증산역로 174, 201, 202호35.308312129.008042017-04-247055-382-2475기본현황2021-08-06
19힐스동물병원경상남도 양산시 물금읍 신주3길 835.338127129.0143652017-05-104055-388-8275기본현황2021-08-06
20더나은동물병원경상남도 양산시 물금읍 물금로 96-1735.30717128.983122017-12-271055-366-4626기본현황2021-08-06
21에스동물암센터경상남도 양산시 동면 석산3길8, 1층35.307209128.9677992020-03-031055-382-2475기본현황2021-08-06