Overview

Dataset statistics

Number of variables3
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory26.5 B

Variable types

Numeric1
Text2

Dataset

Description상주시 폐의약품 수거함 현황 및 위치에 관한 데이터로 폐의약품 수거함 비치 기관 및 주소를 통한 위치 등의 항목을 제공합니다
URLhttps://www.data.go.kr/data/15113203/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:17:50.404697
Analysis finished2023-12-12 02:17:50.928049
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T11:17:51.035295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2023-12-12T11:17:51.208746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T11:17:51.513328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length5.875
Min length3

Characters and Unicode

Total characters517
Distinct characters112
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

Unique86 ?
Unique (%)97.7%

Sample

1st row상주시보건소
2nd row함창읍보건지소
3rd row사벌국면보건지소
4th row중동면보건지소
5th row낙동면보건지소
ValueCountFrequency (%)
큰사랑약국 2
 
2.2%
메호보건진료소 1
 
1.1%
소망약국 1
 
1.1%
성모약국 1
 
1.1%
서광약국 1
 
1.1%
상주종합약국 1
 
1.1%
초록약국 1
 
1.1%
은혜약국 1
 
1.1%
편안약국 1
 
1.1%
수정온누리약국 1
 
1.1%
Other values (78) 78
87.6%
2023-12-12T11:17:51.982080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
9.1%
47
 
9.1%
46
 
8.9%
46
 
8.9%
43
 
8.3%
26
 
5.0%
25
 
4.8%
20
 
3.9%
17
 
3.3%
8
 
1.5%
Other values (102) 192
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
99.6%
Decimal Number 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
9.1%
47
 
9.1%
46
 
8.9%
46
 
8.9%
43
 
8.3%
26
 
5.0%
25
 
4.9%
20
 
3.9%
17
 
3.3%
8
 
1.6%
Other values (100) 190
36.9%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
9.1%
47
 
9.1%
46
 
8.9%
46
 
8.9%
43
 
8.3%
26
 
5.0%
25
 
4.9%
20
 
3.9%
17
 
3.3%
8
 
1.6%
Other values (100) 190
36.9%
Common
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
47
 
9.1%
47
 
9.1%
46
 
8.9%
46
 
8.9%
43
 
8.3%
26
 
5.0%
25
 
4.9%
20
 
3.9%
17
 
3.3%
8
 
1.6%
Other values (100) 190
36.9%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

주소
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T11:17:52.394339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length23.943182
Min length18

Characters and Unicode

Total characters2107
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row상주시 중앙로 111, 1층 민원실 내
2nd row상주시 함창읍 함창중앙로 130, 1층 민원실 내
3rd row상주시 사벌국면 덕담1길 17, 1층 민원실 내
4th row상주시 중동면 오상1길 22-2, 1층 민원실 내
5th row상주시 낙동면 삼봉로 421, 1층 민원실 내
ValueCountFrequency (%)
상주시 88
15.0%
88
15.0%
1층 85
14.5%
민원실 45
 
7.7%
입구 43
 
7.3%
상산로 11
 
1.9%
10
 
1.7%
상서문로 7
 
1.2%
중앙로 5
 
0.9%
공성면 5
 
0.9%
Other values (155) 200
34.1%
2023-12-12T11:17:52.938041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
25.0%
1 153
 
7.3%
111
 
5.3%
91
 
4.3%
89
 
4.2%
89
 
4.2%
, 88
 
4.2%
87
 
4.1%
56
 
2.7%
47
 
2.2%
Other values (96) 769
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1122
53.3%
Space Separator 527
25.0%
Decimal Number 352
 
16.7%
Other Punctuation 88
 
4.2%
Dash Punctuation 17
 
0.8%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
9.9%
91
 
8.1%
89
 
7.9%
89
 
7.9%
87
 
7.8%
56
 
5.0%
47
 
4.2%
45
 
4.0%
45
 
4.0%
45
 
4.0%
Other values (82) 417
37.2%
Decimal Number
ValueCountFrequency (%)
1 153
43.5%
2 41
 
11.6%
3 26
 
7.4%
6 26
 
7.4%
5 23
 
6.5%
4 20
 
5.7%
7 18
 
5.1%
9 18
 
5.1%
0 17
 
4.8%
8 10
 
2.8%
Space Separator
ValueCountFrequency (%)
527
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1122
53.3%
Common 984
46.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
9.9%
91
 
8.1%
89
 
7.9%
89
 
7.9%
87
 
7.8%
56
 
5.0%
47
 
4.2%
45
 
4.0%
45
 
4.0%
45
 
4.0%
Other values (82) 417
37.2%
Common
ValueCountFrequency (%)
527
53.6%
1 153
 
15.5%
, 88
 
8.9%
2 41
 
4.2%
3 26
 
2.6%
6 26
 
2.6%
5 23
 
2.3%
4 20
 
2.0%
7 18
 
1.8%
9 18
 
1.8%
Other values (3) 44
 
4.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1122
53.3%
ASCII 985
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
53.5%
1 153
 
15.5%
, 88
 
8.9%
2 41
 
4.2%
3 26
 
2.6%
6 26
 
2.6%
5 23
 
2.3%
4 20
 
2.0%
7 18
 
1.8%
9 18
 
1.8%
Other values (4) 45
 
4.6%
Hangul
ValueCountFrequency (%)
111
 
9.9%
91
 
8.1%
89
 
7.9%
89
 
7.9%
87
 
7.8%
56
 
5.0%
47
 
4.2%
45
 
4.0%
45
 
4.0%
45
 
4.0%
Other values (82) 417
37.2%

Interactions

2023-12-12T11:17:50.656718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:17:53.073004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명주소
연번1.0000.9330.933
기관명0.9331.0001.000
주소0.9331.0001.000

Missing values

2023-12-12T11:17:50.796527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:17:50.896866image/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

연번기관명주소
01상주시보건소상주시 중앙로 111, 1층 민원실 내
12함창읍보건지소상주시 함창읍 함창중앙로 130, 1층 민원실 내
23사벌국면보건지소상주시 사벌국면 덕담1길 17, 1층 민원실 내
34중동면보건지소상주시 중동면 오상1길 22-2, 1층 민원실 내
45낙동면보건지소상주시 낙동면 삼봉로 421, 1층 민원실 내
56청리면보건지소상주시 청리면 남상주로 1163, 1층 민원실 내
67공성면보건지소상주시 공성면 공성중앙로 61, 1층 민원실 내
78외남면보건지소상주시 외남면 청동로 36, 1층 민원실 내
89내서면보건지소상주시 내서면 신촌2길 10-5, 1층 민원실 내
910모동면보건지소상주시 모동면 중화로 621-5, 1층 민원실 내
연번기관명주소
7879화령약국상주시 화서면 화령북4길 1, 1층 입구 내
7980경동메디칼약국상주시 상산로 251, 1층 입구 내
8081국보당약국상주시 상산로 271,1층 입구 내
8182녹십자약국상주시 삼백로 87, 1층 입구 내
8283농민약국상주시 상서문로 54, 1층 입구 내
8384동산약국상주시 공검면 비재로 1304, 1층 입구 내
8485박사약국상주시 상산로 259, 1층 입구 내
8586백화점약국상주시 상산로 263 , 1층 입구 내
8687삼백종합약국상주시 상산로 324 , 1층 입구 내
8788국민건강보험공단 상주지사상주시 상산로 131, 민원실 내