Overview

Dataset statistics

Number of variables4
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.0 B

Variable types

Categorical2
Text2

Dataset

Description상기 첨부한 자료는 경상북도 영덕군 관내 폐의약품 수거함 현황자료 로써 구체적으로 폐의약품이 설치되어있는 업소의 업종별 분류 및 업소명칭, 그리고 업소의 정확한 주소및 설치된 폐의약품 수거함의 개수까지 나와있는 데이터 입니다.
URLhttps://www.data.go.kr/data/15113163/fileData.do

Alerts

수거함 개수 has constant value ""Constant
명칭 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:55:30.490626
Analysis finished2023-12-12 05:55:30.854464
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
약국
22 
보건진료소
13 
보건지소
보건소
 
1

Length

Max length5
Median length4.5
Mean length3.2727273
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row보건소
2nd row보건지소
3rd row보건지소
4th row보건지소
5th row보건지소

Common Values

ValueCountFrequency (%)
약국 22
50.0%
보건진료소 13
29.5%
보건지소 8
 
18.2%
보건소 1
 
2.3%

Length

2023-12-12T14:55:30.930002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:55:31.065040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 22
50.0%
보건진료소 13
29.5%
보건지소 8
 
18.2%
보건소 1
 
2.3%

명칭
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T14:55:31.282865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7272727
Min length3

Characters and Unicode

Total characters252
Distinct characters72
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

Unique44 ?
Unique (%)100.0%

Sample

1st row영덕군 보건소
2nd row강구보건지소
3rd row남정보건지소
4th row달산보건지소
5th row지품보건지소
ValueCountFrequency (%)
보건진료소 13
 
22.4%
영덕군 1
 
1.7%
수정약국 1
 
1.7%
주약국 1
 
1.7%
고은약국 1
 
1.7%
명신온누리약국 1
 
1.7%
백화점약국 1
 
1.7%
제일약국 1
 
1.7%
참약국 1
 
1.7%
큰사랑약국 1
 
1.7%
Other values (36) 36
62.1%
2023-12-12T14:55:31.747733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
9.1%
22
 
8.7%
22
 
8.7%
22
 
8.7%
22
 
8.7%
14
 
5.6%
14
 
5.6%
13
 
5.2%
9
 
3.6%
4
 
1.6%
Other values (62) 87
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
94.4%
Space Separator 14
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
9.7%
22
 
9.2%
22
 
9.2%
22
 
9.2%
22
 
9.2%
14
 
5.9%
13
 
5.5%
9
 
3.8%
4
 
1.7%
4
 
1.7%
Other values (61) 83
34.9%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
94.4%
Common 14
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
9.7%
22
 
9.2%
22
 
9.2%
22
 
9.2%
22
 
9.2%
14
 
5.9%
13
 
5.5%
9
 
3.8%
4
 
1.7%
4
 
1.7%
Other values (61) 83
34.9%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
94.4%
ASCII 14
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23
 
9.7%
22
 
9.2%
22
 
9.2%
22
 
9.2%
22
 
9.2%
14
 
5.9%
13
 
5.5%
9
 
3.8%
4
 
1.7%
4
 
1.7%
Other values (61) 83
34.9%
ASCII
ValueCountFrequency (%)
14
100.0%

주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T14:55:32.089180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length22.795455
Min length18

Characters and Unicode

Total characters1003
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row경상북도 영덕군 영덕읍 군청길 53
2nd row경상북도 영덕군 강구면 강구시장길 15
3rd row경상북도 영덕군 남정면 진불4길 4
4th row경상북도 영덕군 달산면 팔각산로 1857
5th row경상북도 영덕군 지품면 신안1길 3-4
ValueCountFrequency (%)
경상북도 44
19.1%
영덕군 44
19.1%
영덕읍 12
 
5.2%
중앙길 8
 
3.5%
영해면 8
 
3.5%
강구면 6
 
2.6%
예주시장길 4
 
1.7%
영덕대게로 4
 
1.7%
축산면 4
 
1.7%
달산면 3
 
1.3%
Other values (80) 93
40.4%
2023-12-12T14:55:32.626435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
19.1%
71
 
7.1%
62
 
6.2%
46
 
4.6%
45
 
4.5%
45
 
4.5%
45
 
4.5%
44
 
4.4%
32
 
3.2%
30
 
3.0%
Other values (73) 391
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
65.3%
Space Separator 192
 
19.1%
Decimal Number 131
 
13.1%
Dash Punctuation 9
 
0.9%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
10.8%
62
 
9.5%
46
 
7.0%
45
 
6.9%
45
 
6.9%
45
 
6.9%
44
 
6.7%
32
 
4.9%
30
 
4.6%
14
 
2.1%
Other values (58) 221
33.7%
Decimal Number
ValueCountFrequency (%)
1 25
19.1%
7 18
13.7%
4 16
12.2%
6 13
9.9%
9 13
9.9%
3 12
9.2%
0 10
 
7.6%
8 9
 
6.9%
2 8
 
6.1%
5 7
 
5.3%
Space Separator
ValueCountFrequency (%)
192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
65.3%
Common 348
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
10.8%
62
 
9.5%
46
 
7.0%
45
 
6.9%
45
 
6.9%
45
 
6.9%
44
 
6.7%
32
 
4.9%
30
 
4.6%
14
 
2.1%
Other values (58) 221
33.7%
Common
ValueCountFrequency (%)
192
55.2%
1 25
 
7.2%
7 18
 
5.2%
4 16
 
4.6%
6 13
 
3.7%
9 13
 
3.7%
3 12
 
3.4%
0 10
 
2.9%
- 9
 
2.6%
8 9
 
2.6%
Other values (5) 31
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
65.3%
ASCII 348
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
55.2%
1 25
 
7.2%
7 18
 
5.2%
4 16
 
4.6%
6 13
 
3.7%
9 13
 
3.7%
3 12
 
3.4%
0 10
 
2.9%
- 9
 
2.6%
8 9
 
2.6%
Other values (5) 31
 
8.9%
Hangul
ValueCountFrequency (%)
71
 
10.8%
62
 
9.5%
46
 
7.0%
45
 
6.9%
45
 
6.9%
45
 
6.9%
44
 
6.7%
32
 
4.9%
30
 
4.6%
14
 
2.1%
Other values (58) 221
33.7%

수거함 개수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
100.0%

Length

2023-12-12T14:55:32.819538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:55:32.969725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
100.0%

Correlations

2023-12-12T14:55:33.050084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명칭주소
구분1.0001.0001.000
명칭1.0001.0001.000
주소1.0001.0001.000

Missing values

2023-12-12T14:55:30.695694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:55:30.822195image/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

구분명칭주소수거함 개수
0보건소영덕군 보건소경상북도 영덕군 영덕읍 군청길 531
1보건지소강구보건지소경상북도 영덕군 강구면 강구시장길 151
2보건지소남정보건지소경상북도 영덕군 남정면 진불4길 41
3보건지소달산보건지소경상북도 영덕군 달산면 팔각산로 18571
4보건지소지품보건지소경상북도 영덕군 지품면 신안1길 3-41
5보건지소축산보건지소경상북도 영덕군 축산면 영덕대게로 20561
6보건지소영해보건지소경상북도 영덕군 영해면 예주목은길 871
7보건지소병곡보건지소경상북도 영덕군 병곡면 병곡길 741
8보건지소창수보건지소경상북도 영덕군 창수면 신기길 8-71
9보건진료소창포 보건진료소경상북도 영덕군 영덕읍 영덕대게로 767-61
구분명칭주소수거함 개수
34약국광약국경상북도 영덕군 영덕읍 중앙길 941
35약국영덕종합약국경상북도 영덕군 영덕읍 중앙길 96-161
36약국현대약국경상북도 영덕군 영해면 영덕로 1612-11
37약국바다약국경상북도 영덕군 영해면 예주시장7길 31
38약국예주약국경상북도 영덕군 영해면 예주시장길 101
39약국경북약국경상북도 영덕군 영해면 예주시장길 461
40약국대승약국경상북도 영덕군 영해면 예주시장길 81
41약국영해약국경상북도 영덕군 영해면 예주시장길 91
42약국열린약국경상북도 영덕군 축산면 영덕대게로 20731
43약국한독약국경상북도 영덕군 축산면 축산항4길 111