Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory80.3 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
개설일자 has unique valuesUnique

Reproduction

Analysis started2024-04-21 14:44:17.080664
Analysis finished2024-04-21 14:44:18.551600
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-04-21T23:44:19.099475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.125
Min length5

Characters and Unicode

Total characters171
Distinct characters65
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row낙동가축병원
2nd row가온동물병원
3rd row연합축산㈜
4th row부산경남우유협동 조합동물병원
5th row웅상동물병원
ValueCountFrequency (%)
낙동가축병원 1
 
4.0%
스마트동물병원 1
 
4.0%
가나동물병원 1
 
4.0%
더나은동물병원 1
 
4.0%
힐스동물병원 1
 
4.0%
양산24시s동물메디컬센터 1
 
4.0%
신세계동물의료센터 1
 
4.0%
서창사랑동물벼우언 1
 
4.0%
준동물병원 1
 
4.0%
수동물병원 1
 
4.0%
Other values (15) 15
60.0%
2024-04-21T23:44:19.958535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
14.0%
22
 
12.9%
18
 
10.5%
18
 
10.5%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (55) 68
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
97.1%
Decimal Number 2
 
1.2%
Uppercase Letter 1
 
0.6%
Other Symbol 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
14.5%
22
 
13.3%
18
 
10.8%
18
 
10.8%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (50) 63
38.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
97.7%
Common 3
 
1.8%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
14.4%
22
 
13.2%
18
 
10.8%
18
 
10.8%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (51) 64
38.3%
Common
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
1
33.3%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
97.1%
ASCII 4
 
2.3%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
14.5%
22
 
13.3%
18
 
10.8%
18
 
10.8%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (50) 63
38.0%
ASCII
ValueCountFrequency (%)
2 1
25.0%
S 1
25.0%
4 1
25.0%
1
25.0%
None
ValueCountFrequency (%)
1
100.0%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-04-21T23:44:20.640751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27.5
Mean length22.541667
Min length15

Characters and Unicode

Total characters541
Distinct characters67
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

Unique24 ?
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 상북면 양산대로 1608
5th row경상남도 양산시 덕계로 66
ValueCountFrequency (%)
경상남도 24
19.2%
양산시 24
19.2%
물금읍 11
 
8.8%
201호 3
 
2.4%
상북면 2
 
1.6%
새실로 2
 
1.6%
18 2
 
1.6%
동면 2
 
1.6%
삽량로 2
 
1.6%
증산역로 2
 
1.6%
Other values (48) 51
40.8%
2024-04-21T23:44:21.584938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
18.7%
1 29
 
5.4%
28
 
5.2%
27
 
5.0%
26
 
4.8%
25
 
4.6%
24
 
4.4%
24
 
4.4%
24
 
4.4%
0 17
 
3.1%
Other values (57) 216
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
57.5%
Decimal Number 112
 
20.7%
Space Separator 101
 
18.7%
Other Punctuation 12
 
2.2%
Dash Punctuation 3
 
0.6%
Uppercase Letter 1
 
0.2%
Final Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
9.0%
27
 
8.7%
26
 
8.4%
25
 
8.0%
24
 
7.7%
24
 
7.7%
24
 
7.7%
15
 
4.8%
13
 
4.2%
12
 
3.9%
Other values (41) 93
29.9%
Decimal Number
ValueCountFrequency (%)
1 29
25.9%
0 17
15.2%
3 16
14.3%
2 15
13.4%
6 8
 
7.1%
9 7
 
6.2%
8 6
 
5.4%
5 6
 
5.4%
7 4
 
3.6%
4 4
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
57.5%
Common 229
42.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
9.0%
27
 
8.7%
26
 
8.4%
25
 
8.0%
24
 
7.7%
24
 
7.7%
24
 
7.7%
15
 
4.8%
13
 
4.2%
12
 
3.9%
Other values (41) 93
29.9%
Common
ValueCountFrequency (%)
101
44.1%
1 29
 
12.7%
0 17
 
7.4%
3 16
 
7.0%
2 15
 
6.6%
, 10
 
4.4%
6 8
 
3.5%
9 7
 
3.1%
8 6
 
2.6%
5 6
 
2.6%
Other values (5) 14
 
6.1%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
57.5%
ASCII 229
42.3%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
44.1%
1 29
 
12.7%
0 17
 
7.4%
3 16
 
7.0%
2 15
 
6.6%
, 10
 
4.4%
6 8
 
3.5%
9 7
 
3.1%
8 6
 
2.6%
5 6
 
2.6%
Other values (5) 14
 
6.1%
Hangul
ValueCountFrequency (%)
28
 
9.0%
27
 
8.7%
26
 
8.4%
25
 
8.0%
24
 
7.7%
24
 
7.7%
24
 
7.7%
15
 
4.8%
13
 
4.2%
12
 
3.9%
Other values (41) 93
29.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.347135
Minimum35.30717
Maximum35.491284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-04-21T23:44:21.801531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.30717
5-th percentile35.307176
Q135.314777
median35.33247
Q335.358673
95-th percentile35.413797
Maximum35.491284
Range0.1841139
Interquartile range (IQR)0.0438961

Descriptive statistics

Standard deviation0.045307903
Coefficient of variation (CV)0.0012817984
Kurtosis3.2829271
Mean35.347135
Median Absolute Deviation (MAD)0.0186465
Skewness1.7643431
Sum848.33125
Variance0.0020528061
MonotonicityNot monotonic
2024-04-21T23:44:22.027348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.3071704 2
 
8.3%
35.3262068 1
 
4.2%
35.3218769 1
 
4.2%
35.3072085 1
 
4.2%
35.3381273 1
 
4.2%
35.3083123 1
 
4.2%
35.3137217 1
 
4.2%
35.4140724 1
 
4.2%
35.3139252 1
 
4.2%
35.3274822 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
35.3071704 2
8.3%
35.3072085 1
4.2%
35.3083123 1
4.2%
35.3137217 1
4.2%
35.3139252 1
4.2%
35.3150611 1
4.2%
35.3218769 1
4.2%
35.3262068 1
4.2%
35.3274735 1
4.2%
35.3274822 1
4.2%
ValueCountFrequency (%)
35.4912843 1
4.2%
35.4140724 1
4.2%
35.412235 1
4.2%
35.4102176 1
4.2%
35.3765851 1
4.2%
35.3737657 1
4.2%
35.3536424 1
4.2%
35.3460141 1
4.2%
35.339431 1
4.2%
35.3381273 1
4.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.03283
Minimum128.9678
Maximum129.16518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-04-21T23:44:22.338652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.9678
5-th percentile128.98312
Q1128.99728
median129.01397
Q3129.04236
95-th percentile129.1507
Maximum129.16518
Range0.1973765
Interquartile range (IQR)0.0450881

Descriptive statistics

Standard deviation0.053856989
Coefficient of variation (CV)0.00041738981
Kurtosis1.4649778
Mean129.03283
Median Absolute Deviation (MAD)0.01973325
Skewness1.4811592
Sum3096.7879
Variance0.0029005753
MonotonicityNot monotonic
2024-04-21T23:44:22.737078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
128.9831203 2
 
8.3%
129.0135718 2
 
8.3%
128.9965299 1
 
4.2%
129.0019568 1
 
4.2%
128.9677994 1
 
4.2%
129.0143652 1
 
4.2%
129.0080398 1
 
4.2%
128.9924368 1
 
4.2%
129.1651759 1
 
4.2%
128.9975236 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
128.9677994 1
4.2%
128.9831203 2
8.3%
128.9924368 1
4.2%
128.9951803 1
4.2%
128.9965299 1
4.2%
128.9975236 1
4.2%
129.0019568 1
4.2%
129.0080398 1
4.2%
129.0104941 1
4.2%
129.0135718 2
8.3%
ValueCountFrequency (%)
129.1651759 1
4.2%
129.1510542 1
4.2%
129.1486942 1
4.2%
129.0847858 1
4.2%
129.0554403 1
4.2%
129.0543284 1
4.2%
129.0383749 1
4.2%
129.0346468 1
4.2%
129.0284784 1
4.2%
129.0256494 1
4.2%

개설일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum1993-03-23 00:00:00
Maximum2020-03-03 00:00:00
2024-04-21T23:44:23.115326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:44:23.476478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

종사원
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size320.0 B
1
17 
2
4
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
70.8%
2 4
 
16.7%
4 2
 
8.3%
9 1
 
4.2%

Length

2024-04-21T23:44:23.844829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:44:24.160652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
70.8%
2 4
 
16.7%
4 2
 
8.3%
9 1
 
4.2%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-04-21T23:44:24.793549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters290
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

Unique22 ?
Unique (%)91.7%

Sample

1st row055-384-6585
2nd row055-387-8256
3rd row055-387-8805
4th row055-383-5883
5th row055-366-0300
ValueCountFrequency (%)
055-382-2475 2
 
8.3%
055-384-6585 1
 
4.2%
055-781-2275 1
 
4.2%
055-366-4626 1
 
4.2%
055-388-8275 1
 
4.2%
055-367-9123 1
 
4.2%
055-785-2275 1
 
4.2%
055-381-7532 1
 
4.2%
055-388-7545 1
 
4.2%
055-389-2075 1
 
4.2%
Other values (13) 13
54.2%
2024-04-21T23:44:25.909996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 67
23.1%
- 48
16.6%
8 33
11.4%
0 32
11.0%
3 30
10.3%
7 27
9.3%
2 17
 
5.9%
6 13
 
4.5%
4 9
 
3.1%
1 8
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 242
83.4%
Dash Punctuation 48
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 67
27.7%
8 33
13.6%
0 32
13.2%
3 30
12.4%
7 27
11.2%
2 17
 
7.0%
6 13
 
5.4%
4 9
 
3.7%
1 8
 
3.3%
9 6
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 67
23.1%
- 48
16.6%
8 33
11.4%
0 32
11.0%
3 30
10.3%
7 27
9.3%
2 17
 
5.9%
6 13
 
4.5%
4 9
 
3.1%
1 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 67
23.1%
- 48
16.6%
8 33
11.4%
0 32
11.0%
3 30
10.3%
7 27
9.3%
2 17
 
5.9%
6 13
 
4.5%
4 9
 
3.1%
1 8
 
2.8%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
기본현황
24 

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 24
100.0%

Length

2024-04-21T23:44:26.313753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:44:26.595031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 24
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum2020-11-30 00:00:00
Maximum2020-11-30 00:00:00
2024-04-21T23:44:26.830979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:44:27.124083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T23:44:17.830941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:44:17.484029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:44:18.008995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:44:17.656686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T23:44:27.333221image/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
위도1.0001.0001.0000.8941.0000.3441.000
경도1.0001.0000.8941.0001.0000.0001.000
개설일자1.0001.0001.0001.0001.0001.0001.000
종사원1.0001.0000.3440.0001.0001.0000.000
연락처1.0001.0001.0001.0001.0000.0001.000
2024-04-21T23:44:27.604735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종사원
위도1.0000.9550.192
경도0.9551.0000.000
종사원0.1920.0001.000

Missing values

2024-04-21T23:44:18.235658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T23:44:18.464323image/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 205호35.326207128.996531993-03-231055-384-6585기본현황2020-11-30
1가온동물병원경상남도 양산시 물금읍 백호로 96, 201호35.321877128.995181997-02-191055-387-8256기본현황2020-11-30
2연합축산㈜경상남도 양산시 북안남2길 2635.346014129.0346471998-02-162055-387-8805기본현황2020-11-30
3부산경남우유협동 조합동물병원경상남도 양산시 상북면 양산대로 160835.410218129.0543281998-03-162055-383-5883기본현황2020-11-30
4웅상동물병원경상남도 양산시 덕계로 6635.373766129.1486942002-09-091055-366-0300기본현황2020-11-30
5보계동물병원경상남도 양산시 양주2길 11 ’03.05.1035.339431129.0284782003-05-101055-374-0488기본현황2020-11-30
6통도동물병원경상남도 양산시 하북면 신평로 3435.491284129.0847862003-08-261055-382-7871기본현황2020-11-30
7양산동물메디컬센터경상남도 양산시 삽량로 17535.335328129.0235982005-05-0610507-1412-0177기본현황2020-11-30
8웅상프랜드동물병원경상남도 양산시 덕계로 10335.376585129.1510542006-07-211055-364-7585기본현황2020-11-30
9영남동물병원경상남도 양산시 상북면 반회서3길 1835.412235129.055442010-01-121055-375-9933기본현황2020-11-30
병원명주소위도경도개설일자종사원연락처출처기준일자
14해동물병원경상남도 양산시 물금읍 청운로 349, 103-2호35.327474129.0135722016-06-071055-389-2075기본현황2020-11-30
15수동물병원경상남도 양산시 동면 금오13길 18, 101호35.327482129.0135722016-01-171055-388-7545기본현황2020-11-30
16준동물병원경상남도 양산시 물금읍 증산역로 138, 201호35.313925128.9975242016-11-181055-381-7532기본현황2020-11-30
17서창사랑동물벼우언경상남도 양산시 삼호1길 36-1335.414072129.1651762017-03-082055-785-2275기본현황2020-11-30
18신세계동물의료센터경상남도 양산시 물금읍 새실로 15935.313722128.9924372017-03-232055-367-9123기본현황2020-11-30
19양산24시S동물메디컬센터경상남도 양산시 물금읍 증산역로 174, 201, 202호35.308312129.008042017-04-249055-382-2475기본현황2020-11-30
20힐스동물병원경상남도 양산시 물금읍 신주3길 835.338127129.0143652017-05-104055-388-8275기본현황2020-11-30
21더나은동물병원경상남도 양산시 물금읍 물금로 96-1735.30717128.983122017-12-271055-366-4626기본현황2020-11-30
22가나동물병원경상남도 양산시 물금읍 백호로 156, 204동 103호35.30717128.983122018-10-161055-383-8826기본현황2020-11-30
23에스동물암센터경상남도 양산시 동면 석산3길835.307209128.9677992020-03-031055-382-2475기본현황2020-11-30