Overview

Dataset statistics

Number of variables4
Number of observations142
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory33.9 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description경상남도 진주시 폐의약품 수거함 현황 데이터로(연번, 기관명칭, 소재지(도로명주소), 데이터기준일) 항목에 대한 정보를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15124725

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명주소) has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:40:10.619563
Analysis finished2023-12-10 23:40:11.048412
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.5
Minimum1
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T08:40:11.365931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q136.25
median71.5
Q3106.75
95-th percentile134.95
Maximum142
Range141
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation41.135953
Coefficient of variation (CV)0.57532802
Kurtosis-1.2
Mean71.5
Median Absolute Deviation (MAD)35.5
Skewness0
Sum10153
Variance1692.1667
MonotonicityStrictly increasing
2023-12-11T08:40:11.528739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
99 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
100 1
 
0.7%
91 1
 
0.7%
Other values (132) 132
93.0%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%

기관명칭
Text

Distinct141
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:40:11.782038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.7323944
Min length3

Characters and Unicode

Total characters672
Distinct characters152
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

Unique140 ?
Unique (%)98.6%

Sample

1st row진주시보건소
2nd row서부보건지소
3rd row가온약국
4th row강남약국
5th row건강약국
ValueCountFrequency (%)
약국 3
 
2.1%
신세계약국 2
 
1.4%
일등약국 1
 
0.7%
장안약국 1
 
0.7%
육거리약국 1
 
0.7%
은하수약국 1
 
0.7%
은혜온누리약국 1
 
0.7%
이상약국 1
 
0.7%
정문약국 1
 
0.7%
성심약국 1
 
0.7%
Other values (132) 132
91.0%
2023-12-11T08:40:12.163527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 142
21.1%
국 140
20.8%
리 17
 
2.5%
온 13
 
1.9%
누 12
 
1.8%
성 9
 
1.3%
대 9
 
1.3%
정 8
 
1.2%
은 8
 
1.2%
주 8
 
1.2%
Other values (142) 306
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 669
99.6%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 142
21.2%
국 140
20.9%
리 17
 
2.5%
온 13
 
1.9%
누 12
 
1.8%
성 9
 
1.3%
대 9
 
1.3%
정 8
 
1.2%
은 8
 
1.2%
주 8
 
1.2%
Other values (141) 303
45.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 669
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 142
21.2%
국 140
20.9%
리 17
 
2.5%
온 13
 
1.9%
누 12
 
1.8%
성 9
 
1.3%
대 9
 
1.3%
정 8
 
1.2%
은 8
 
1.2%
주 8
 
1.2%
Other values (141) 303
45.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 669
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 142
21.2%
국 140
20.9%
리 17
 
2.5%
온 13
 
1.9%
누 12
 
1.8%
성 9
 
1.3%
대 9
 
1.3%
정 8
 
1.2%
은 8
 
1.2%
주 8
 
1.2%
Other values (141) 303
45.3%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지(도로명주소)
Text

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:40:12.489658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length26.56338
Min length19

Characters and Unicode

Total characters3772
Distinct characters137
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

Unique142 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 월아산로 2026(초전동)
2nd row경상남도 진주시 진양호로 467(남성동)
3rd row경상남도 진주시 새평거로 129, 1층 106호 (평거동)
4th row경상남도 진주시 진주대로 891 (강남동)
5th row경상남도 진주시 하대로 138, 106호 (하대동, 현대아파트)
ValueCountFrequency (%)
경상남도 142
 
17.7%
진주시 142
 
17.7%
1층 44
 
5.5%
진주대로 24
 
3.0%
진양호로 15
 
1.9%
상대동 14
 
1.7%
하대동 13
 
1.6%
평거동 11
 
1.4%
동진로 10
 
1.2%
도동로 10
 
1.2%
Other values (236) 377
47.0%
2023-12-11T08:40:12.950772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
660
17.5%
진 204
 
5.4%
1 192
 
5.1%
주 184
 
4.9%
동 164
 
4.3%
상 161
 
4.3%
남 155
 
4.1%
도 155
 
4.1%
경 148
 
3.9%
시 142
 
3.8%
Other values (127) 1607
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
57.0%
Space Separator 660
 
17.5%
Decimal Number 602
 
16.0%
Open Punctuation 131
 
3.5%
Close Punctuation 131
 
3.5%
Other Punctuation 70
 
1.9%
Dash Punctuation 19
 
0.5%
Uppercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 204
 
9.5%
주 184
 
8.6%
동 164
 
7.6%
상 161
 
7.5%
남 155
 
7.2%
도 155
 
7.2%
경 148
 
6.9%
시 142
 
6.6%
로 140
 
6.5%
대 88
 
4.1%
Other values (105) 610
28.4%
Decimal Number
ValueCountFrequency (%)
1 192
31.9%
2 80
13.3%
0 63
 
10.5%
6 48
 
8.0%
5 48
 
8.0%
4 39
 
6.5%
8 38
 
6.3%
3 33
 
5.5%
9 31
 
5.1%
7 30
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
28.6%
A 1
14.3%
K 1
14.3%
B 1
14.3%
D 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
660
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2151
57.0%
Common 1614
42.8%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 204
 
9.5%
주 184
 
8.6%
동 164
 
7.6%
상 161
 
7.5%
남 155
 
7.2%
도 155
 
7.2%
경 148
 
6.9%
시 142
 
6.6%
로 140
 
6.5%
대 88
 
4.1%
Other values (105) 610
28.4%
Common
ValueCountFrequency (%)
660
40.9%
1 192
 
11.9%
( 131
 
8.1%
) 131
 
8.1%
2 80
 
5.0%
, 70
 
4.3%
0 63
 
3.9%
6 48
 
3.0%
5 48
 
3.0%
4 39
 
2.4%
Other values (6) 152
 
9.4%
Latin
ValueCountFrequency (%)
N 2
28.6%
A 1
14.3%
K 1
14.3%
B 1
14.3%
D 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2151
57.0%
ASCII 1621
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
660
40.7%
1 192
 
11.8%
( 131
 
8.1%
) 131
 
8.1%
2 80
 
4.9%
, 70
 
4.3%
0 63
 
3.9%
6 48
 
3.0%
5 48
 
3.0%
4 39
 
2.4%
Other values (12) 159
 
9.8%
Hangul
ValueCountFrequency (%)
진 204
 
9.5%
주 184
 
8.6%
동 164
 
7.6%
상 161
 
7.5%
남 155
 
7.2%
도 155
 
7.2%
경 148
 
6.9%
시 142
 
6.6%
로 140
 
6.5%
대 88
 
4.1%
Other values (105) 610
28.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-10-31
142 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 142
100.0%

Length

2023-12-11T08:40:13.087036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:40:13.163899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 142
100.0%

Interactions

2023-12-11T08:40:10.805106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T08:40:10.935722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:40:11.016031image/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

연번기관명칭소재지(도로명주소)데이터기준일
01진주시보건소경상남도 진주시 월아산로 2026(초전동)2023-10-31
12서부보건지소경상남도 진주시 진양호로 467(남성동)2023-10-31
23가온약국경상남도 진주시 새평거로 129, 1층 106호 (평거동)2023-10-31
34강남약국경상남도 진주시 진주대로 891 (강남동)2023-10-31
45건강약국경상남도 진주시 하대로 138, 106호 (하대동, 현대아파트)2023-10-31
56경대약국경상남도 진주시 진주대로816번길 18, 1층 (주약동)2023-10-31
67경상약국경상남도 진주시 동진로20번길 15, 1층 (칠암동)2023-10-31
78고려약국경상남도 진주시 진주대로 1072 (대안동)2023-10-31
89고은약국경상남도 진주시 순환로 527 (평거동)2023-10-31
910금호약국경상남도 진주시 진주대로829번길 7, 102호 (주약동)2023-10-31
연번기관명칭소재지(도로명주소)데이터기준일
132133한아름약국경상남도 진주시 진양호로 221, 117호 (평거동, 진주평거 우방아이유쉘 스카이팰리스)2023-10-31
133134한일약국경상남도 진주시 동진로 176 (상대동)2023-10-31
134135해동약국경상남도 진주시 서장대로 263, 1층 (이현동)2023-10-31
135136해맑은약국경상남도 진주시 내동로 356 (가좌동)2023-10-31
136137행복한약국경상남도 진주시 진양호로 72, 1층 (평거동)2023-10-31
137138혁신온누리약국경상남도 진주시 사들로 56, 109~110호 (충무공동)2023-10-31
138139혁신제일약국경상남도 진주시 사들로 97, 1층 106호 (충무공동)2023-10-31
139140호호약국경상남도 진주시 동진로 22, 아주스타타워 101호 (칠암동)2023-10-31
140141효성약국경상남도 진주시 진주대로 628, 1층 (가좌동)2023-10-31
141142희망약국경상남도 진주시 금산면 금산순환로 9, 세종빌딩 1층 101호2023-10-31