Overview

Dataset statistics

Number of variables5
Number of observations102
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory41.3 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description폐의약품 수거 가능한 장소(수거함 위치 및 약국 등)에 대한 데이터로 폐의약품수거장소명, 도로명주소, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15077823/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (2.0%) missing valuesMissing
폐의약품수거장소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:56:59.008773
Analysis finished2023-12-12 08:56:59.495500
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐의약품수거장소명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:56:59.757837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.5098039
Min length3

Characters and Unicode

Total characters562
Distinct characters138
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

Unique102 ?
Unique (%)100.0%

Sample

1st row대덕구청 민원봉사과
2nd row오정동 행정복지센터
3rd row대화동 행정복지센터
4th row회덕동 행정복지센터
5th row비래동 행정복지센터
ValueCountFrequency (%)
행정복지센터 12
 
10.1%
약국 2
 
1.7%
비래동 2
 
1.7%
대덕구청 1
 
0.8%
보령당약국 1
 
0.8%
하나약국 1
 
0.8%
두레약국 1
 
0.8%
참사랑약국 1
 
0.8%
해뜰약국 1
 
0.8%
생수당약국 1
 
0.8%
Other values (96) 96
80.7%
2023-12-12T17:57:00.327754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 89
 
15.8%
국 89
 
15.8%
동 19
 
3.4%
17
 
3.0%
정 14
 
2.5%
행 13
 
2.3%
지 13
 
2.3%
복 13
 
2.3%
터 12
 
2.1%
센 12
 
2.1%
Other values (128) 271
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
96.6%
Space Separator 17
 
3.0%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 89
 
16.4%
국 89
 
16.4%
동 19
 
3.5%
정 14
 
2.6%
행 13
 
2.4%
지 13
 
2.4%
복 13
 
2.4%
터 12
 
2.2%
센 12
 
2.2%
리 9
 
1.7%
Other values (125) 260
47.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 543
96.6%
Common 19
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 89
 
16.4%
국 89
 
16.4%
동 19
 
3.5%
정 14
 
2.6%
행 13
 
2.4%
지 13
 
2.4%
복 13
 
2.4%
터 12
 
2.2%
센 12
 
2.2%
리 9
 
1.7%
Other values (125) 260
47.9%
Common
ValueCountFrequency (%)
17
89.5%
2 1
 
5.3%
1 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
96.6%
ASCII 19
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 89
 
16.4%
국 89
 
16.4%
동 19
 
3.5%
정 14
 
2.6%
행 13
 
2.4%
지 13
 
2.4%
복 13
 
2.4%
터 12
 
2.2%
센 12
 
2.2%
리 9
 
1.7%
Other values (125) 260
47.9%
ASCII
ValueCountFrequency (%)
17
89.5%
2 1
 
5.3%
1 1
 
5.3%

폐의약품수거구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
폐의약품수거가능약국
89 
폐의약품수거함
13 

Length

Max length10
Median length10
Mean length9.6176471
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐의약품수거가능약국 89
87.3%
폐의약품수거함 13
 
12.7%

Length

2023-12-12T17:57:00.480400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:00.609623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐의약품수거가능약국 89
87.3%
폐의약품수거함 13
 
12.7%

소재지도로명주소
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:57:00.913581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length28.5
Min length21

Characters and Unicode

Total characters2907
Distinct characters111
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

Unique102 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 대전로1033번길 20(오정동)
2nd row대전광역시 대덕구 한밭대로972번길 92 (오정동)
3rd row대전광역시 대덕구 동심5길 10 (대화동)
4th row대전광역시 대덕구 대전로 1376(읍내동)
5th row대전광역시 대덕구 비래동로 10 (비래동)
ValueCountFrequency (%)
대전광역시 102
 
18.1%
대덕구 102
 
18.1%
1층 17
 
3.0%
법동 15
 
2.7%
중리동 13
 
2.3%
오정동 12
 
2.1%
송촌동 12
 
2.1%
신탄진동 11
 
2.0%
신탄진로 10
 
1.8%
석봉동 9
 
1.6%
Other values (171) 261
46.3%
2023-12-12T17:57:01.494424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
16.2%
대 245
 
8.4%
1 137
 
4.7%
동 129
 
4.4%
덕 122
 
4.2%
전 111
 
3.8%
( 103
 
3.5%
광 103
 
3.5%
) 103
 
3.5%
역 102
 
3.5%
Other values (101) 1281
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1708
58.8%
Space Separator 471
 
16.2%
Decimal Number 464
 
16.0%
Open Punctuation 103
 
3.5%
Close Punctuation 103
 
3.5%
Other Punctuation 50
 
1.7%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 245
14.3%
동 129
 
7.6%
덕 122
 
7.1%
전 111
 
6.5%
광 103
 
6.0%
역 102
 
6.0%
시 102
 
6.0%
구 102
 
6.0%
로 100
 
5.9%
길 48
 
2.8%
Other values (86) 544
31.9%
Decimal Number
ValueCountFrequency (%)
1 137
29.5%
2 52
 
11.2%
0 50
 
10.8%
3 41
 
8.8%
6 40
 
8.6%
7 38
 
8.2%
4 29
 
6.2%
8 28
 
6.0%
9 25
 
5.4%
5 24
 
5.2%
Space Separator
ValueCountFrequency (%)
471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1708
58.8%
Common 1199
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 245
14.3%
동 129
 
7.6%
덕 122
 
7.1%
전 111
 
6.5%
광 103
 
6.0%
역 102
 
6.0%
시 102
 
6.0%
구 102
 
6.0%
로 100
 
5.9%
길 48
 
2.8%
Other values (86) 544
31.9%
Common
ValueCountFrequency (%)
471
39.3%
1 137
 
11.4%
( 103
 
8.6%
) 103
 
8.6%
2 52
 
4.3%
, 50
 
4.2%
0 50
 
4.2%
3 41
 
3.4%
6 40
 
3.3%
7 38
 
3.2%
Other values (5) 114
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1708
58.8%
ASCII 1199
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
39.3%
1 137
 
11.4%
( 103
 
8.6%
) 103
 
8.6%
2 52
 
4.3%
, 50
 
4.2%
0 50
 
4.2%
3 41
 
3.4%
6 40
 
3.3%
7 38
 
3.2%
Other values (5) 114
 
9.5%
Hangul
ValueCountFrequency (%)
대 245
14.3%
동 129
 
7.6%
덕 122
 
7.1%
전 111
 
6.5%
광 103
 
6.0%
역 102
 
6.0%
시 102
 
6.0%
구 102
 
6.0%
로 100
 
5.9%
길 48
 
2.8%
Other values (86) 544
31.9%

전화번호
Text

MISSING 

Distinct100
Distinct (%)100.0%
Missing2
Missing (%)2.0%
Memory size948.0 B
2023-12-12T17:57:01.798624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
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

Unique100 ?
Unique (%)100.0%

Sample

1st row042-608-6114
2nd row042-608-5601
3rd row042-608-5602
4th row042-608-5603
5th row042-608-5604
ValueCountFrequency (%)
042-608-5612 1
 
1.0%
042-934-1339 1
 
1.0%
042-631-8191 1
 
1.0%
042-628-8288 1
 
1.0%
042-635-9291 1
 
1.0%
042-638-1919 1
 
1.0%
042-635-7515 1
 
1.0%
042-634-2268 1
 
1.0%
042-622-7714 1
 
1.0%
042-632-5489 1
 
1.0%
Other values (90) 90
90.0%
2023-12-12T17:57:02.244451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
16.7%
2 185
15.4%
0 162
13.5%
4 136
11.3%
6 115
9.6%
3 107
8.9%
7 66
 
5.5%
5 63
 
5.2%
9 61
 
5.1%
1 57
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
83.3%
Dash Punctuation 200
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 185
18.5%
0 162
16.2%
4 136
13.6%
6 115
11.5%
3 107
10.7%
7 66
 
6.6%
5 63
 
6.3%
9 61
 
6.1%
1 57
 
5.7%
8 48
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.7%
2 185
15.4%
0 162
13.5%
4 136
11.3%
6 115
9.6%
3 107
8.9%
7 66
 
5.5%
5 63
 
5.2%
9 61
 
5.1%
1 57
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
16.7%
2 185
15.4%
0 162
13.5%
4 136
11.3%
6 115
9.6%
3 107
8.9%
7 66
 
5.5%
5 63
 
5.2%
9 61
 
5.1%
1 57
 
4.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T17:57:02.379860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:02.477485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T17:57:02.589479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐의약품수거구분전화번호
폐의약품수거구분1.0001.000
전화번호1.0001.000

Missing values

2023-12-12T17:56:59.311071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:56:59.447479image/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

폐의약품수거장소명폐의약품수거구분소재지도로명주소전화번호데이터기준일자
0대덕구청 민원봉사과폐의약품수거함대전광역시 대덕구 대전로1033번길 20(오정동)042-608-61142023-08-01
1오정동 행정복지센터폐의약품수거함대전광역시 대덕구 한밭대로972번길 92 (오정동)042-608-56012023-08-01
2대화동 행정복지센터폐의약품수거함대전광역시 대덕구 동심5길 10 (대화동)042-608-56022023-08-01
3회덕동 행정복지센터폐의약품수거함대전광역시 대덕구 대전로 1376(읍내동)042-608-56032023-08-01
4비래동 행정복지센터폐의약품수거함대전광역시 대덕구 비래동로 10 (비래동)042-608-56042023-08-01
5송촌동 행정복지센터폐의약품수거함대전광역시 대덕구 동춘당로94번길 11 (송촌동)042-608-56052023-08-01
6중리동 행정복지센터폐의약품수거함대전광역시 대덕구 중리남로 47 (중리동)042-608-56062023-08-01
7법1동 행정복지센터폐의약품수거함대전광역시 대덕구 계족로663번길 36 (법1동)042-608-56072023-08-01
8법2동 행정복지센터폐의약품수거함대전광역시 대덕구 동춘당로 187 (법동)042-608-56082023-08-01
9신탄진동 행정복지센터폐의약품수거함대전광역시 대덕구 신탄진로 836 드림빌딩 (신탄진동)042-608-56092023-08-01
폐의약품수거장소명폐의약품수거구분소재지도로명주소전화번호데이터기준일자
92세진약국폐의약품수거가능약국대전광역시 대덕구 대전로1177번길 63-8, 23호 (오정동)042-636-66012023-08-01
93김명관약국폐의약품수거가능약국대전광역시 대덕구 신탄진로 814 (신탄진동)042-933-24222023-08-01
94삼호약국폐의약품수거가능약국대전광역시 대덕구 계족로663번길 32, 103,104호 (법동, 삼호아파트)042-623-23052023-08-01
95동남약국폐의약품수거가능약국대전광역시 대덕구 계족로761번길 24, 111호 (읍내동, 현대상가)042-631-99322023-08-01
96대전약국폐의약품수거가능약국대전광역시 대덕구 중리로 82 (중리동)042-622-58692023-08-01
97세실약국폐의약품수거가능약국대전광역시 대덕구 한밭대로1036번길 37 (오정동)042-622-47792023-08-01
98신성약국폐의약품수거가능약국대전광역시 대덕구 신탄진동로23번길 48 (신탄진동)042-932-29162023-08-01
99대화약국폐의약품수거가능약국대전광역시 대덕구 대전로 1209 (오정동)042-672-13762023-08-01
100메디팜프라자약국폐의약품수거가능약국대전광역시 대덕구 대전로 1369 (읍내동)042-672-83052023-08-01
101신탄약국폐의약품수거가능약국대전광역시 대덕구 대덕대로1470번길 68 (목상동)042-932-11552023-08-01