Overview

Dataset statistics

Number of variables3
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory25.9 B

Variable types

Text3

Dataset

Description경상북도경산시관내폐의약품수거함에대한데이터로수거함의설치장소와대표전화번호주소의항목을제공합니다.
Author경상북도 경산시
URLhttps://www.data.go.kr/data/15126480/fileData.do

Alerts

설치장소 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:28:41.440519
Analysis finished2024-03-14 20:28:42.368174
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T05:28:43.316944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.115942
Min length3

Characters and Unicode

Total characters422
Distinct characters115
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

Unique69 ?
Unique (%)100.0%

Sample

1st row경산시보건소
2nd row하양읍행정복지센터
3rd row진량읍행정복지센터
4th row압량읍행정복지센터
5th row와촌면행정복지센터
ValueCountFrequency (%)
경산시보건소 1
 
1.4%
유림약국 1
 
1.4%
옵티마제일약국 1
 
1.4%
늘푸른약국 1
 
1.4%
골드팜행복나눔약국 1
 
1.4%
그린약국 1
 
1.4%
장수약국 1
 
1.4%
데레사약국 1
 
1.4%
정평유진약국 1
 
1.4%
정문약국 1
 
1.4%
Other values (60) 60
85.7%
2024-03-15T05:28:44.798741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 43
 
10.2%
국 43
 
10.2%
정 18
 
4.3%
복 16
 
3.8%
행 16
 
3.8%
센 16
 
3.8%
지 16
 
3.8%
터 15
 
3.6%
진 13
 
3.1%
보 11
 
2.6%
Other values (105) 215
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
99.3%
Decimal Number 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 43
 
10.3%
국 43
 
10.3%
정 18
 
4.3%
복 16
 
3.8%
행 16
 
3.8%
센 16
 
3.8%
지 16
 
3.8%
터 15
 
3.6%
진 13
 
3.1%
보 11
 
2.6%
Other values (102) 212
50.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
99.3%
Common 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 43
 
10.3%
국 43
 
10.3%
정 18
 
4.3%
복 16
 
3.8%
행 16
 
3.8%
센 16
 
3.8%
지 16
 
3.8%
터 15
 
3.6%
진 13
 
3.1%
보 11
 
2.6%
Other values (102) 212
50.6%
Common
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
99.3%
ASCII 3
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 43
 
10.3%
국 43
 
10.3%
정 18
 
4.3%
복 16
 
3.8%
행 16
 
3.8%
센 16
 
3.8%
지 16
 
3.8%
터 15
 
3.6%
진 13
 
3.1%
보 11
 
2.6%
Other values (102) 212
50.6%
ASCII
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
1
33.3%

대표전화번호
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T05:28:45.635980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014493
Min length11

Characters and Unicode

Total characters829
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

Unique67 ?
Unique (%)97.1%

Sample

1st row053-810-6363
2nd row053-84-7871
3rd row053-804-7414
4th row053-804-7615
5th row053-804-7474
ValueCountFrequency (%)
053-856-5806 2
 
2.9%
053-854-7900 1
 
1.4%
053-852-2277 1
 
1.4%
053-857-7570 1
 
1.4%
053-815-5533 1
 
1.4%
053-813-5633 1
 
1.4%
053-815-5670 1
 
1.4%
053-816-5500 1
 
1.4%
053-818-8828 1
 
1.4%
053-804-7654 1
 
1.4%
Other values (58) 58
84.1%
2024-03-15T05:28:46.850275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 138
16.6%
5 131
15.8%
0 126
15.2%
3 107
12.9%
8 94
11.3%
1 58
7.0%
7 50
 
6.0%
4 42
 
5.1%
2 34
 
4.1%
6 25
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 691
83.4%
Dash Punctuation 138
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 131
19.0%
0 126
18.2%
3 107
15.5%
8 94
13.6%
1 58
8.4%
7 50
 
7.2%
4 42
 
6.1%
2 34
 
4.9%
6 25
 
3.6%
9 24
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 829
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 138
16.6%
5 131
15.8%
0 126
15.2%
3 107
12.9%
8 94
11.3%
1 58
7.0%
7 50
 
6.0%
4 42
 
5.1%
2 34
 
4.1%
6 25
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 138
16.6%
5 131
15.8%
0 126
15.2%
3 107
12.9%
8 94
11.3%
1 58
7.0%
7 50
 
6.0%
4 42
 
5.1%
2 34
 
4.1%
6 25
 
3.0%

소재지(도로명)
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T05:28:48.097283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length22.797101
Min length15

Characters and Unicode

Total characters1573
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row경상북도 경산시 남매로 158
2nd row경상북도 경산시 하양읍 문화로 36
3rd row경상북도 경산시 다문로 50
4th row경상북도 경산시 압량읍 부적길 35
5th row경상북도 경산시 와촌면 금송로 416 와촌면행정복지센터
ValueCountFrequency (%)
경상북도 70
 
19.0%
경산시 69
 
18.8%
1층 11
 
3.0%
하양읍 10
 
2.7%
대학로 6
 
1.6%
정평동 6
 
1.6%
진량읍 6
 
1.6%
중방동 6
 
1.6%
압량읍 5
 
1.4%
옥산동 4
 
1.1%
Other values (129) 175
47.6%
2024-03-15T05:28:49.822714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
19.0%
경 149
 
9.5%
산 84
 
5.3%
북 72
 
4.6%
도 72
 
4.6%
상 71
 
4.5%
시 69
 
4.4%
1 63
 
4.0%
로 59
 
3.8%
동 33
 
2.1%
Other values (92) 602
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 968
61.5%
Space Separator 299
 
19.0%
Decimal Number 231
 
14.7%
Close Punctuation 25
 
1.6%
Open Punctuation 25
 
1.6%
Other Punctuation 18
 
1.1%
Dash Punctuation 5
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 149
15.4%
산 84
 
8.7%
북 72
 
7.4%
도 72
 
7.4%
상 71
 
7.3%
시 69
 
7.1%
로 59
 
6.1%
동 33
 
3.4%
읍 21
 
2.2%
길 18
 
1.9%
Other values (76) 320
33.1%
Decimal Number
ValueCountFrequency (%)
1 63
27.3%
2 28
12.1%
3 28
12.1%
4 24
 
10.4%
5 20
 
8.7%
6 19
 
8.2%
0 19
 
8.2%
9 11
 
4.8%
7 10
 
4.3%
8 9
 
3.9%
Space Separator
ValueCountFrequency (%)
299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 968
61.5%
Common 603
38.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 149
15.4%
산 84
 
8.7%
북 72
 
7.4%
도 72
 
7.4%
상 71
 
7.3%
시 69
 
7.1%
로 59
 
6.1%
동 33
 
3.4%
읍 21
 
2.2%
길 18
 
1.9%
Other values (76) 320
33.1%
Common
ValueCountFrequency (%)
299
49.6%
1 63
 
10.4%
2 28
 
4.6%
3 28
 
4.6%
) 25
 
4.1%
( 25
 
4.1%
4 24
 
4.0%
5 20
 
3.3%
6 19
 
3.2%
0 19
 
3.2%
Other values (5) 53
 
8.8%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 968
61.5%
ASCII 605
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
49.4%
1 63
 
10.4%
2 28
 
4.6%
3 28
 
4.6%
) 25
 
4.1%
( 25
 
4.1%
4 24
 
4.0%
5 20
 
3.3%
6 19
 
3.1%
0 19
 
3.1%
Other values (6) 55
 
9.1%
Hangul
ValueCountFrequency (%)
경 149
15.4%
산 84
 
8.7%
북 72
 
7.4%
도 72
 
7.4%
상 71
 
7.3%
시 69
 
7.1%
로 59
 
6.1%
동 33
 
3.4%
읍 21
 
2.2%
길 18
 
1.9%
Other values (76) 320
33.1%

Correlations

2024-03-15T05:28:50.094440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소대표전화번호소재지(도로명)
설치장소1.0001.0001.000
대표전화번호1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2024-03-15T05:28:41.896333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:28:42.259127image/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

설치장소대표전화번호소재지(도로명)
0경산시보건소053-810-6363경상북도 경산시 남매로 158
1하양읍행정복지센터053-84-7871경상북도 경산시 하양읍 문화로 36
2진량읍행정복지센터053-804-7414경상북도 경산시 다문로 50
3압량읍행정복지센터053-804-7615경상북도 경산시 압량읍 부적길 35
4와촌면행정복지센터053-804-7474경상북도 경산시 와촌면 금송로 416 와촌면행정복지센터
5자인면행정복지센터053-857-3000경상북도 경산시 자인면 일연로 82
6용성면행정복지센터053-804-7543경상북도 경산시 용성면 원효로 1423
7남산면행정복지센터053-804-7573경상북도 경산시 산양1길 9-1
8남천면행정복지센터053-804-7654경상북도 경산시 남천면 남천로 465
9중앙동행정복지센터053-804-7682경상북도 경산시 경안로30길 18
설치장소대표전화번호소재지(도로명)
59굿모닝약국053-813-8988경상북도 경산시 대학로8길 25 (정평동)
60효성약국053-854-4487경상북도 경산시 하양읍 하양로 46, 1층 103호
61정다운약국053-814-2220경상북도 경산시 대학로10길 24 (정평동)
62명성약국053-815-8352경상북도 경산시 중앙로 10 (사정동)
63우리들약국053-852-4616경상북도 경산시 하양읍 금송로 8
64성모약국053-812-4005경상북도 경산시 중앙로 19 (사정동)
65온누리영제약국053-812-0735경상북도 경산시 경안로 192-1 (중방동)
66금강약국053-856-3651경상북도 경산시 진량읍 봉황길 24, A동
67영광약국053-851-2632경상북도 경산시 하양읍 하양로 119
68동산약국053-851-2214경상북도 경산시 하양읍 대학로 1530