Overview

Dataset statistics

Number of variables4
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.0 B
Average record size in memory36.9 B

Variable types

Text4

Dataset

Description경상남도 창녕군의 의료기관정보-약국 및 약방 현황에 대한 데이터로 해당 정보는 약국명, 주소, 연락처를 포함하고 있습니다.
Author경상남도 창녕군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15054815

Alerts

약국명 has unique valuesUnique
대표자 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:39:06.479761
Analysis finished2023-12-10 22:39:06.970712
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

약국명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T07:39:07.090017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.7777778
Min length3

Characters and Unicode

Total characters129
Distinct characters55
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경남약국
2nd row군청약국
3rd row동산 온누리 약국
4th row명성약국
5th row부림약국
ValueCountFrequency (%)
경남약국 1
 
3.4%
김약국 1
 
3.4%
온누리온천약국 1
 
3.4%
부곡종합약국 1
 
3.4%
제일약국 1
 
3.4%
영산약국 1
 
3.4%
아세아약국 1
 
3.4%
성모약국 1
 
3.4%
대지경남약국 1
 
3.4%
이방약국 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T07:39:07.389451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 27
20.9%
국 27
20.9%
경 4
 
3.1%
합 4
 
3.1%
남 4
 
3.1%
산 3
 
2.3%
온 3
 
2.3%
리 3
 
2.3%
성 2
 
1.6%
아 2
 
1.6%
Other values (45) 50
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
98.4%
Space Separator 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 27
21.3%
국 27
21.3%
경 4
 
3.1%
합 4
 
3.1%
남 4
 
3.1%
산 3
 
2.4%
온 3
 
2.4%
리 3
 
2.4%
성 2
 
1.6%
아 2
 
1.6%
Other values (44) 48
37.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
98.4%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 27
21.3%
국 27
21.3%
경 4
 
3.1%
합 4
 
3.1%
남 4
 
3.1%
산 3
 
2.4%
온 3
 
2.4%
리 3
 
2.4%
성 2
 
1.6%
아 2
 
1.6%
Other values (44) 48
37.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
98.4%
ASCII 2
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 27
21.3%
국 27
21.3%
경 4
 
3.1%
합 4
 
3.1%
남 4
 
3.1%
산 3
 
2.4%
온 3
 
2.4%
리 3
 
2.4%
성 2
 
1.6%
아 2
 
1.6%
Other values (44) 48
37.8%
ASCII
ValueCountFrequency (%)
2
100.0%

대표자
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T07:39:07.560401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1111111
Min length2

Characters and Unicode

Total characters84
Distinct characters51
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

Unique27 ?
Unique (%)100.0%

Sample

1st row이주영
2nd row이종철
3rd row이일용
4th row성영기
5th row전종훈
ValueCountFrequency (%)
이주영 1
 
3.7%
이영욱 1
 
3.7%
신계철 1
 
3.7%
오준영 1
 
3.7%
정문모 1
 
3.7%
이명선 1
 
3.7%
하재경 1
 
3.7%
김건우 1
 
3.7%
김태안 1
 
3.7%
엄정란 1
 
3.7%
Other values (17) 17
63.0%
2023-12-11T07:39:07.869274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9
 
10.7%
영 7
 
8.3%
김 5
 
6.0%
연 3
 
3.6%
정 3
 
3.6%
재 3
 
3.6%
종 2
 
2.4%
준 2
 
2.4%
철 2
 
2.4%
광 2
 
2.4%
Other values (41) 46
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
98.8%
Other Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
10.8%
영 7
 
8.4%
김 5
 
6.0%
연 3
 
3.6%
정 3
 
3.6%
재 3
 
3.6%
종 2
 
2.4%
준 2
 
2.4%
철 2
 
2.4%
광 2
 
2.4%
Other values (40) 45
54.2%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
98.8%
Common 1
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
10.8%
영 7
 
8.4%
김 5
 
6.0%
연 3
 
3.6%
정 3
 
3.6%
재 3
 
3.6%
종 2
 
2.4%
준 2
 
2.4%
철 2
 
2.4%
광 2
 
2.4%
Other values (40) 45
54.2%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
98.8%
ASCII 1
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9
 
10.8%
영 7
 
8.4%
김 5
 
6.0%
연 3
 
3.6%
정 3
 
3.6%
재 3
 
3.6%
종 2
 
2.4%
준 2
 
2.4%
철 2
 
2.4%
광 2
 
2.4%
Other values (40) 45
54.2%
ASCII
ValueCountFrequency (%)
, 1
100.0%

주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T07:39:08.047387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.851852
Min length18

Characters and Unicode

Total characters563
Distinct characters55
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경상남도 창녕군 창녕읍 옥만길 10
2nd row경상남도 창녕군 창녕읍 군청길 18
3rd row경상남도 창녕군 창녕읍 우포2로 1223
4th row경상남도 창녕군 창녕읍 옥만길 19
5th row경상남도 창녕군 창녕읍 당산1길 26-22
ValueCountFrequency (%)
경상남도 27
19.9%
창녕군 27
19.9%
창녕읍 13
 
9.6%
남지읍 5
 
3.7%
영산면 4
 
2.9%
우포2로 3
 
2.2%
창녕시장길 3
 
2.2%
영산계성로 2
 
1.5%
연지길 2
 
1.5%
명덕로 2
 
1.5%
Other values (42) 48
35.3%
2023-12-11T07:39:08.354744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
19.5%
창 45
 
8.0%
녕 44
 
7.8%
남 33
 
5.9%
군 28
 
5.0%
경 27
 
4.8%
상 27
 
4.8%
도 27
 
4.8%
1 24
 
4.3%
읍 18
 
3.2%
Other values (45) 180
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
64.8%
Space Separator 110
 
19.5%
Decimal Number 80
 
14.2%
Dash Punctuation 7
 
1.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 45
12.3%
녕 44
12.1%
남 33
 
9.0%
군 28
 
7.7%
경 27
 
7.4%
상 27
 
7.4%
도 27
 
7.4%
읍 18
 
4.9%
로 17
 
4.7%
길 10
 
2.7%
Other values (32) 89
24.4%
Decimal Number
ValueCountFrequency (%)
1 24
30.0%
2 15
18.8%
5 7
 
8.8%
8 7
 
8.8%
9 6
 
7.5%
3 5
 
6.2%
6 5
 
6.2%
4 4
 
5.0%
7 4
 
5.0%
0 3
 
3.8%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
64.8%
Common 198
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 45
12.3%
녕 44
12.1%
남 33
 
9.0%
군 28
 
7.7%
경 27
 
7.4%
상 27
 
7.4%
도 27
 
7.4%
읍 18
 
4.9%
로 17
 
4.7%
길 10
 
2.7%
Other values (32) 89
24.4%
Common
ValueCountFrequency (%)
110
55.6%
1 24
 
12.1%
2 15
 
7.6%
- 7
 
3.5%
5 7
 
3.5%
8 7
 
3.5%
9 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
4 4
 
2.0%
Other values (3) 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
64.8%
ASCII 198
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
55.6%
1 24
 
12.1%
2 15
 
7.6%
- 7
 
3.5%
5 7
 
3.5%
8 7
 
3.5%
9 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
4 4
 
2.0%
Other values (3) 8
 
4.0%
Hangul
ValueCountFrequency (%)
창 45
12.3%
녕 44
12.1%
남 33
 
9.0%
군 28
 
7.7%
경 27
 
7.4%
상 27
 
7.4%
도 27
 
7.4%
읍 18
 
4.9%
로 17
 
4.7%
길 10
 
2.7%
Other values (32) 89
24.4%

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T07:39:08.527720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row055-533-4070
2nd row055-532-3544
3rd row055-533-3607
4th row055-533-3784
5th row055-532-8047
ValueCountFrequency (%)
055-533-4070 1
 
3.7%
055-526-5753 1
 
3.7%
055-536-5333 1
 
3.7%
055-521-5115 1
 
3.7%
055-536-7022 1
 
3.7%
055-521-7577 1
 
3.7%
055-536-2875 1
 
3.7%
055-521-0107 1
 
3.7%
055-533-3090 1
 
3.7%
055-532-5511 1
 
3.7%
Other values (17) 17
63.0%
2023-12-11T07:39:08.803080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 95
29.3%
- 54
16.7%
0 45
13.9%
3 40
12.3%
2 23
 
7.1%
6 16
 
4.9%
7 15
 
4.6%
1 11
 
3.4%
4 9
 
2.8%
8 9
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 95
35.2%
0 45
16.7%
3 40
14.8%
2 23
 
8.5%
6 16
 
5.9%
7 15
 
5.6%
1 11
 
4.1%
4 9
 
3.3%
8 9
 
3.3%
9 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 95
29.3%
- 54
16.7%
0 45
13.9%
3 40
12.3%
2 23
 
7.1%
6 16
 
4.9%
7 15
 
4.6%
1 11
 
3.4%
4 9
 
2.8%
8 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 95
29.3%
- 54
16.7%
0 45
13.9%
3 40
12.3%
2 23
 
7.1%
6 16
 
4.9%
7 15
 
4.6%
1 11
 
3.4%
4 9
 
2.8%
8 9
 
2.8%

Correlations

2023-12-11T07:39:08.885950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
약국명대표자주소연락처
약국명1.0001.0001.0001.000
대표자1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-11T07:39:06.877217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:39:06.945342image/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

약국명대표자주소연락처
0경남약국이주영경상남도 창녕군 창녕읍 옥만길 10055-533-4070
1군청약국이종철경상남도 창녕군 창녕읍 군청길 18055-532-3544
2동산 온누리 약국이일용경상남도 창녕군 창녕읍 우포2로 1223055-533-3607
3명성약국성영기경상남도 창녕군 창녕읍 옥만길 19055-533-3784
4부림약국전종훈경상남도 창녕군 창녕읍 당산1길 26-22055-532-8047
5비사벌약국양광준경상남도 창녕군 창녕읍 창녕시장길 85055-533-9757
6신경남약국이광재경상남도 창녕군 창녕읍 명덕로 45-1055-533-0604
7옵티마연합약국황지상경상남도 창녕군 창녕읍 우포2로 1213055-533-9952
8우리약국이연수경상남도 창녕군 창녕읍 교리1길 4055-532-1928
9종합약국조강욱경상남도 창녕군 창녕읍 창녕시장길 87055-532-8040
약국명대표자주소연락처
17대합곰약국김영래경상남도 창녕군 대합면 창한로 105-1055-532-0213
18이방약국엄정란경상남도 창녕군 이방면 이방로 955-1055-532-5511
19대지경남약국김태안경상남도 창녕군 대지면 우포2로 984055-533-3090
20성모약국김건우경상남도 창녕군 영산면 영산계성로 59055-521-0107
21아세아약국하재경경상남도 창녕군 영산면 연지길 8055-536-2875
22영산약국이명선경상남도 창녕군 영산면 영산계성로 79055-521-7577
23제일약국정문모경상남도 창녕군 영산면 연지길 37-1055-536-7022
24부곡종합약국오준영경상남도 창녕군 부곡면 원앙로 237055-521-5115
25온누리온천약국신계철경상남도 창녕군 부곡면 원앙로 211055-536-5333
26하나로약국김형연경상남도 창녕군 남지읍 낙동로 498-2, 2층055-526-0447