Overview

Dataset statistics

Number of variables4
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory33.6 B

Variable types

Text3
DateTime1

Dataset

Description경상남도 함양군 관내 약국, 병의원, 보건소 등 의약업소 현황 정보로 업소명, 소재지 주소, 연락처, 데이터 기준일자로 구성되어 있습니다.
Author경상남도 함양군
URLhttps://www.data.go.kr/data/3064792/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:25:15.055050
Analysis finished2023-12-12 09:25:15.569558
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T18:25:15.796866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.3176471
Min length3

Characters and Unicode

Total characters537
Distinct characters128
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row함양군보건소
2nd row마천면보건지소
3rd row휴천면보건지소
4th row유림면보건지소
5th row수동면보건지소
ValueCountFrequency (%)
하약국 2
 
2.3%
함양군보건소 1
 
1.1%
수동약국 1
 
1.1%
늘푸른약국 1
 
1.1%
평화약국 1
 
1.1%
삼성약국 1
 
1.1%
파란약국 1
 
1.1%
한솔약국 1
 
1.1%
동해물약국 1
 
1.1%
성실약국 1
 
1.1%
Other values (76) 76
87.4%
2023-12-12T18:25:16.308542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 53
 
9.9%
원 45
 
8.4%
소 25
 
4.7%
보 23
 
4.3%
건 23
 
4.3%
약 21
 
3.9%
과 21
 
3.9%
국 19
 
3.5%
한 16
 
3.0%
지 12
 
2.2%
Other values (118) 279
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
99.6%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 53
 
9.9%
원 45
 
8.4%
소 25
 
4.7%
보 23
 
4.3%
건 23
 
4.3%
약 21
 
3.9%
과 21
 
3.9%
국 19
 
3.6%
한 16
 
3.0%
지 12
 
2.2%
Other values (117) 277
51.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 53
 
9.9%
원 45
 
8.4%
소 25
 
4.7%
보 23
 
4.3%
건 23
 
4.3%
약 21
 
3.9%
과 21
 
3.9%
국 19
 
3.6%
한 16
 
3.0%
지 12
 
2.2%
Other values (117) 277
51.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 53
 
9.9%
원 45
 
8.4%
소 25
 
4.7%
보 23
 
4.3%
건 23
 
4.3%
약 21
 
3.9%
과 21
 
3.9%
국 19
 
3.6%
한 16
 
3.0%
지 12
 
2.2%
Other values (117) 277
51.8%
ASCII
ValueCountFrequency (%)
2
100.0%

도로명주소
Text

Distinct75
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T18:25:16.690449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.423529
Min length18

Characters and Unicode

Total characters1736
Distinct characters75
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)76.5%

Sample

1st row경상남도 함양군 함양읍 한들로 141
2nd row경상남도 함양군 마천면 천왕봉로 1144-2
3rd row경상남도 함양군 휴천면 함양남서로 513
4th row경상남도 함양군 유림면 천왕봉로 2872-4
5th row경상남도 함양군 수동면 수동내동길 15
ValueCountFrequency (%)
경상남도 85
20.0%
함양군 85
20.0%
함양읍 53
 
12.5%
용평중앙길 16
 
3.8%
안의면 12
 
2.8%
고운로 11
 
2.6%
함양로 9
 
2.1%
용평길 5
 
1.2%
광풍로 4
 
0.9%
서상면 4
 
0.9%
Other values (105) 141
33.2%
2023-12-12T18:25:17.204102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
19.6%
함 149
 
8.6%
양 149
 
8.6%
상 92
 
5.3%
남 89
 
5.1%
경 85
 
4.9%
도 85
 
4.9%
군 85
 
4.9%
1 66
 
3.8%
읍 53
 
3.1%
Other values (65) 543
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1154
66.5%
Space Separator 340
 
19.6%
Decimal Number 223
 
12.8%
Dash Punctuation 19
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 149
12.9%
양 149
12.9%
상 92
 
8.0%
남 89
 
7.7%
경 85
 
7.4%
도 85
 
7.4%
군 85
 
7.4%
읍 53
 
4.6%
길 48
 
4.2%
로 39
 
3.4%
Other values (53) 280
24.3%
Decimal Number
ValueCountFrequency (%)
1 66
29.6%
3 35
15.7%
4 24
 
10.8%
2 23
 
10.3%
7 22
 
9.9%
0 13
 
5.8%
8 12
 
5.4%
5 10
 
4.5%
6 10
 
4.5%
9 8
 
3.6%
Space Separator
ValueCountFrequency (%)
340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1154
66.5%
Common 582
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 149
12.9%
양 149
12.9%
상 92
 
8.0%
남 89
 
7.7%
경 85
 
7.4%
도 85
 
7.4%
군 85
 
7.4%
읍 53
 
4.6%
길 48
 
4.2%
로 39
 
3.4%
Other values (53) 280
24.3%
Common
ValueCountFrequency (%)
340
58.4%
1 66
 
11.3%
3 35
 
6.0%
4 24
 
4.1%
2 23
 
4.0%
7 22
 
3.8%
- 19
 
3.3%
0 13
 
2.2%
8 12
 
2.1%
5 10
 
1.7%
Other values (2) 18
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1154
66.5%
ASCII 582
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
58.4%
1 66
 
11.3%
3 35
 
6.0%
4 24
 
4.1%
2 23
 
4.0%
7 22
 
3.8%
- 19
 
3.3%
0 13
 
2.2%
8 12
 
2.1%
5 10
 
1.7%
Other values (2) 18
 
3.1%
Hangul
ValueCountFrequency (%)
함 149
12.9%
양 149
12.9%
상 92
 
8.0%
남 89
 
7.7%
경 85
 
7.4%
도 85
 
7.4%
군 85
 
7.4%
읍 53
 
4.6%
길 48
 
4.2%
로 39
 
3.4%
Other values (53) 280
24.3%

전화번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T18:25:17.528616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1020
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

Unique85 ?
Unique (%)100.0%

Sample

1st row055-960-8010
2nd row055-960-5360
3rd row055-960-5361
4th row055-960-5362
5th row055-960-5363
ValueCountFrequency (%)
055-960-8010 1
 
1.2%
055-962-1120 1
 
1.2%
055-962-5333 1
 
1.2%
055-964-1213 1
 
1.2%
055-964-2700 1
 
1.2%
055-963-0020 1
 
1.2%
055-963-8604 1
 
1.2%
055-964-1256 1
 
1.2%
055-963-7995 1
 
1.2%
055-964-0067 1
 
1.2%
Other values (75) 75
88.2%
2023-12-12T18:25:18.005214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 218
21.4%
- 170
16.7%
0 160
15.7%
6 108
10.6%
9 107
10.5%
3 72
 
7.1%
2 50
 
4.9%
7 42
 
4.1%
1 34
 
3.3%
4 32
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 850
83.3%
Dash Punctuation 170
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 218
25.6%
0 160
18.8%
6 108
12.7%
9 107
12.6%
3 72
 
8.5%
2 50
 
5.9%
7 42
 
4.9%
1 34
 
4.0%
4 32
 
3.8%
8 27
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1020
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 218
21.4%
- 170
16.7%
0 160
15.7%
6 108
10.6%
9 107
10.5%
3 72
 
7.1%
2 50
 
4.9%
7 42
 
4.1%
1 34
 
3.3%
4 32
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 218
21.4%
- 170
16.7%
0 160
15.7%
6 108
10.6%
9 107
10.5%
3 72
 
7.1%
2 50
 
4.9%
7 42
 
4.1%
1 34
 
3.3%
4 32
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2022-05-16 00:00:00
Maximum2022-05-16 00:00:00
2023-12-12T18:25:18.194456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:25:18.297194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T18:25:18.374652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명도로명주소전화번호
업소명1.0001.0001.000
도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T18:25:15.379313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:25:15.521456image/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

업소명도로명주소전화번호데이터기준일자
0함양군보건소경상남도 함양군 함양읍 한들로 141055-960-80102022-05-16
1마천면보건지소경상남도 함양군 마천면 천왕봉로 1144-2055-960-53602022-05-16
2휴천면보건지소경상남도 함양군 휴천면 함양남서로 513055-960-53612022-05-16
3유림면보건지소경상남도 함양군 유림면 천왕봉로 2872-4055-960-53622022-05-16
4수동면보건지소경상남도 함양군 수동면 수동내동길 15055-960-53632022-05-16
5지곡면보건지소경상남도 함양군 지곡면 함양로 1882-1055-960-53642022-05-16
6안의면보건지소경상남도 함양군 안의면 금성길 16055-960-53652022-05-16
7서하면보건지소경상남도 함양군 서하면 송계앞길 7055-960-53662022-05-16
8서상면보건지소경상남도 함양군 서상면 서상로 307055-960-63672022-05-16
9백전면보건지소경상남도 함양군 백전면 함양남서로 2355055-960-53682022-05-16
업소명도로명주소전화번호데이터기준일자
75대원한의원경상남도 함양군 함양읍 함양로 1151055-963-34242022-05-16
76안의한의원경상남도 함양군 안의면 강변로 283055-963-61112022-05-16
77홍익한의원경상남도 함양군 함양읍 용평1길 13055-963-37102022-05-16
78인산한의원경상남도 함양군 함양읍 고운로 107-1055-964-11912022-05-16
79경희한의원경상남도 함양군 함양읍 고운로 97055-964-75822022-05-16
80안의경희한의원경상남도 함양군 안의면 광풍로 133055-963-10752022-05-16
81인덕한의원경상남도 함양군 함양읍 용평중앙길 19-1055-964-47002022-05-16
82함양명인당한의원경상남도 함양군 함양읍 교산1길 19055-964-73372022-05-16
83금손한의원경상남도 함양군 함양읍 용평길 31-4055-963-85752022-05-16
84원광한의원경상남도 함양군 함양읍 고운로 82055-962-10752022-05-16