Overview

Dataset statistics

Number of variables5
Number of observations190
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory41.7 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description가정에서 배출되는 폐의약품 수거함 현황에 대한 데이터로 폐의약품 수거함 영업소명, 주소, 전화번호 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15077990/fileData.do

Alerts

연번 has unique valuesUnique
전화번호 has unique valuesUnique
약국주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:21:46.713580
Analysis finished2024-03-14 13:21:47.982431
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.5
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-14T22:21:48.193347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.45
Q148.25
median95.5
Q3142.75
95-th percentile180.55
Maximum190
Range189
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation54.992424
Coefficient of variation (CV)0.5758369
Kurtosis-1.2
Mean95.5
Median Absolute Deviation (MAD)47.5
Skewness0
Sum18145
Variance3024.1667
MonotonicityStrictly increasing
2024-03-14T22:21:48.637696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
132 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
Other values (180) 180
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%

구별구분
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
덕양구
83 
일산동구
54 
일산서구
51 
덕양구
 
1
일산서구
 
1

Length

Max length5
Median length4
Mean length3.5684211
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row덕양구
2nd row덕양구
3rd row일산동구
4th row일산서구
5th row덕양구

Common Values

ValueCountFrequency (%)
덕양구 83
43.7%
일산동구 54
28.4%
일산서구 51
26.8%
덕양구 1
 
0.5%
일산서구 1
 
0.5%

Length

2024-03-14T22:21:49.091945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:21:49.455867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
덕양구 84
44.2%
일산동구 54
28.4%
일산서구 52
27.4%

약국명
Text

Distinct188
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T22:21:50.485443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.2368421
Min length3

Characters and Unicode

Total characters995
Distinct characters193
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

Unique186 ?
Unique (%)97.9%

Sample

1st row1004약국
2nd row5층구구약국
3rd row가까운약국
4th row가은약국
5th row건강약국
ValueCountFrequency (%)
중앙약국 2
 
1.1%
사랑약국 2
 
1.1%
제니스온누리약국 1
 
0.5%
정발산약국 1
 
0.5%
원약국 1
 
0.5%
제일약국 1
 
0.5%
이조약국 1
 
0.5%
원흥온누리약국 1
 
0.5%
위시티사랑약국 1
 
0.5%
위시티우리약국 1
 
0.5%
Other values (178) 178
93.7%
2024-03-14T22:21:52.027925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 191
19.2%
국 189
 
19.0%
리 30
 
3.0%
온 26
 
2.6%
누 24
 
2.4%
사 13
 
1.3%
랑 12
 
1.2%
정 12
 
1.2%
이 11
 
1.1%
화 11
 
1.1%
Other values (183) 476
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
99.4%
Decimal Number 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 191
19.3%
국 189
19.1%
리 30
 
3.0%
온 26
 
2.6%
누 24
 
2.4%
사 13
 
1.3%
랑 12
 
1.2%
정 12
 
1.2%
이 11
 
1.1%
화 11
 
1.1%
Other values (178) 470
47.5%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
4 1
16.7%
1 1
16.7%
3 1
16.7%
5 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 989
99.4%
Common 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 191
19.3%
국 189
19.1%
리 30
 
3.0%
온 26
 
2.6%
누 24
 
2.4%
사 13
 
1.3%
랑 12
 
1.2%
정 12
 
1.2%
이 11
 
1.1%
화 11
 
1.1%
Other values (178) 470
47.5%
Common
ValueCountFrequency (%)
0 2
33.3%
4 1
16.7%
1 1
16.7%
3 1
16.7%
5 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
99.4%
ASCII 6
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 191
19.3%
국 189
19.1%
리 30
 
3.0%
온 26
 
2.6%
누 24
 
2.4%
사 13
 
1.3%
랑 12
 
1.2%
정 12
 
1.2%
이 11
 
1.1%
화 11
 
1.1%
Other values (178) 470
47.5%
ASCII
ValueCountFrequency (%)
0 2
33.3%
4 1
16.7%
1 1
16.7%
3 1
16.7%
5 1
16.7%

전화번호
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T22:21:53.149353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989474
Min length11

Characters and Unicode

Total characters2278
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

Unique190 ?
Unique (%)100.0%

Sample

1st row031-381-5052
2nd row031-811-8961
3rd row031-901-7939
4th row031-923-6039
5th row031-963-9639
ValueCountFrequency (%)
031-381-5052 1
 
0.5%
031-965-4677 1
 
0.5%
031-381-8817 1
 
0.5%
070-4156-7861 1
 
0.5%
031-967-2265 1
 
0.5%
031-969-4085 1
 
0.5%
031-964-1158 1
 
0.5%
070-8860-3657 1
 
0.5%
031-970-3648 1
 
0.5%
031-917-8410 1
 
0.5%
Other values (180) 180
94.7%
2024-03-14T22:21:54.714494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 380
16.7%
0 329
14.4%
1 323
14.2%
3 287
12.6%
9 243
10.7%
7 164
7.2%
2 139
 
6.1%
8 117
 
5.1%
5 111
 
4.9%
6 109
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1898
83.3%
Dash Punctuation 380
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 329
17.3%
1 323
17.0%
3 287
15.1%
9 243
12.8%
7 164
8.6%
2 139
7.3%
8 117
 
6.2%
5 111
 
5.8%
6 109
 
5.7%
4 76
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 380
16.7%
0 329
14.4%
1 323
14.2%
3 287
12.6%
9 243
10.7%
7 164
7.2%
2 139
 
6.1%
8 117
 
5.1%
5 111
 
4.9%
6 109
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 380
16.7%
0 329
14.4%
1 323
14.2%
3 287
12.6%
9 243
10.7%
7 164
7.2%
2 139
 
6.1%
8 117
 
5.1%
5 111
 
4.9%
6 109
 
4.8%

약국주소
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T22:21:55.629418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length37.536842
Min length18

Characters and Unicode

Total characters7132
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 동세로 19, 아카메디 105호 (동산동)
2nd row경기도 고양시 덕양구 화신로260번길 57, 502호(화정동)
3rd row경기도 고양시 일산동구 강송로 49, 윈스턴파크아이 102호 (백석동)
4th row경기도 고양시 일산서구 탄중로233번길 25, 양우프라자 105호 (탄현동)
5th row경기도 고양시 덕양구 호국로 792, 천일빌딩 1층 (성사동)
ValueCountFrequency (%)
경기도 190
 
13.3%
고양시 190
 
13.3%
덕양구 84
 
5.9%
일산동구 54
 
3.8%
일산서구 52
 
3.6%
1층 29
 
2.0%
중앙로 28
 
2.0%
행신동 18
 
1.3%
화정동 14
 
1.0%
일산로 12
 
0.8%
Other values (500) 762
53.2%
2024-03-14T22:21:57.005738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1300
 
18.2%
1 317
 
4.4%
양 287
 
4.0%
동 258
 
3.6%
, 213
 
3.0%
고 204
 
2.9%
시 203
 
2.8%
도 193
 
2.7%
경 192
 
2.7%
기 191
 
2.7%
Other values (229) 3774
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4085
57.3%
Space Separator 1300
 
18.2%
Decimal Number 1119
 
15.7%
Other Punctuation 214
 
3.0%
Close Punctuation 181
 
2.5%
Open Punctuation 181
 
2.5%
Dash Punctuation 33
 
0.5%
Uppercase Letter 18
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 287
 
7.0%
동 258
 
6.3%
고 204
 
5.0%
시 203
 
5.0%
도 193
 
4.7%
경 192
 
4.7%
기 191
 
4.7%
구 191
 
4.7%
로 189
 
4.6%
산 176
 
4.3%
Other values (205) 2001
49.0%
Decimal Number
ValueCountFrequency (%)
1 317
28.3%
0 170
15.2%
2 124
 
11.1%
3 98
 
8.8%
4 87
 
7.8%
5 83
 
7.4%
7 82
 
7.3%
6 72
 
6.4%
8 47
 
4.2%
9 39
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
27.8%
T 4
22.2%
P 3
16.7%
B 2
 
11.1%
K 2
 
11.1%
N 1
 
5.6%
M 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 213
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4085
57.3%
Common 3029
42.5%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 287
 
7.0%
동 258
 
6.3%
고 204
 
5.0%
시 203
 
5.0%
도 193
 
4.7%
경 192
 
4.7%
기 191
 
4.7%
구 191
 
4.7%
로 189
 
4.6%
산 176
 
4.3%
Other values (205) 2001
49.0%
Common
ValueCountFrequency (%)
1300
42.9%
1 317
 
10.5%
, 213
 
7.0%
) 181
 
6.0%
( 181
 
6.0%
0 170
 
5.6%
2 124
 
4.1%
3 98
 
3.2%
4 87
 
2.9%
5 83
 
2.7%
Other values (7) 275
 
9.1%
Latin
ValueCountFrequency (%)
A 5
27.8%
T 4
22.2%
P 3
16.7%
B 2
 
11.1%
K 2
 
11.1%
N 1
 
5.6%
M 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4085
57.3%
ASCII 3047
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1300
42.7%
1 317
 
10.4%
, 213
 
7.0%
) 181
 
5.9%
( 181
 
5.9%
0 170
 
5.6%
2 124
 
4.1%
3 98
 
3.2%
4 87
 
2.9%
5 83
 
2.7%
Other values (14) 293
 
9.6%
Hangul
ValueCountFrequency (%)
양 287
 
7.0%
동 258
 
6.3%
고 204
 
5.0%
시 203
 
5.0%
도 193
 
4.7%
경 192
 
4.7%
기 191
 
4.7%
구 191
 
4.7%
로 189
 
4.6%
산 176
 
4.3%
Other values (205) 2001
49.0%

Interactions

2024-03-14T22:21:47.186836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:21:57.260535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구별구분
연번1.0000.226
구별구분0.2261.000
2024-03-14T22:21:57.493826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구별구분
연번1.0000.093
구별구분0.0931.000

Missing values

2024-03-14T22:21:47.543210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:21:47.859366image/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

연번구별구분약국명전화번호약국주소
01덕양구1004약국031-381-5052경기도 고양시 덕양구 동세로 19, 아카메디 105호 (동산동)
12덕양구5층구구약국031-811-8961경기도 고양시 덕양구 화신로260번길 57, 502호(화정동)
23일산동구가까운약국031-901-7939경기도 고양시 일산동구 강송로 49, 윈스턴파크아이 102호 (백석동)
34일산서구가은약국031-923-6039경기도 고양시 일산서구 탄중로233번길 25, 양우프라자 105호 (탄현동)
45덕양구건강약국031-963-9639경기도 고양시 덕양구 호국로 792, 천일빌딩 1층 (성사동)
56일산서구건강한약국031-916-8645경기도 고양시 일산서구 일산로 526, 진송빌딩 1층 (일산동)
67덕양구고양새물약국031-962-4817경기도 고양시 덕양구 혜음로 36
78덕양구고양이화약국031-969-1711경기도 고양시 덕양구 혜음로 38 (고양동)
89일산서구광장약국031-918-2515경기도 고양시 일산서구 중앙로 1437, 화성프라자 411호 (주엽동)
910덕양구굿모닝약국031-938-9386경기도 고양시 덕양구 화중로 76, 대감프라자 406호 (화정동)
연번구별구분약국명전화번호약국주소
180181일산동구호정약국031-975-7589경기도 고양시 일산동구 성석로 30, 101호(중산동)
181182일산서구화성삼층약국031-918-0533경기도 고양시 일산서구 중앙로 1437, 화성프라자 309호 (주엽동)
182183덕양구화수약국031-969-7724경기도 고양시 덕양구 화수로14번길 30 (화정동)
183184덕양구화정그린약국031-972-1231경기도 고양시 덕양구 중앙로 612, 104호(화정동)
184185덕양구화정녹십자약국031-979-8777경기도 고양시 덕양구 화중로 60, 화정빌딩 109,110호 일부 (화정동)
185186덕양구화정메디칼약국031-974-5353경기도 고양시 덕양구 화중로 72, 케이탑리츠빌딩 105호 (화정동)
186187덕양구화정종로약국031-966-7254경기도 고양시 덕양구 화정로 53, 새롬프라자 403호 (화정동)
187188덕양구화정햇빛약국031-978-4010경기도 고양시 덕양구 충장로152번길 47, 햇빛마을20단지 상가동 105호 (행신동)
188189일산서구후곡수약국031-918-0957경기도 고양시 일산서구 일산로 547, 일신조합상가 102호(일산동)
189190덕양구휴베이스우수약국031-968-8696경기도 고양시 덕양구 통일로 760, 127호(관산동,더퍼스트프라임)