Overview

Dataset statistics

Number of variables4
Number of observations43
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

Numeric1
Text3

Dataset

Description문경시 소재 약국 현황에 대한 데이터로 약국명칭, 소재지, 전화번호 등의 항목을 제공합니다.(약국명칭, 소재지,전화번호)
Author경상북도 문경시
URLhttps://www.data.go.kr/data/15123202/fileData.do

Alerts

순번 has unique valuesUnique
약국명칭 has unique valuesUnique
약국소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:14:25.324986
Analysis finished2024-03-14 12:14:26.280173
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-03-14T21:14:26.493714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-03-14T21:14:26.908010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

약국명칭
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:14:27.833889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.6744186
Min length3

Characters and Unicode

Total characters201
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row건강약국
2nd row경북약국
3rd row그랜드약국
4th row김약국
5th row대구약국
ValueCountFrequency (%)
건강약국 1
 
2.3%
세아온누리약국 1
 
2.3%
수강약국 1
 
2.3%
시민약국 1
 
2.3%
아름다운약국 1
 
2.3%
아이사랑약국 1
 
2.3%
용한약국 1
 
2.3%
우리농암약국 1
 
2.3%
유한약국 1
 
2.3%
이안약국 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T21:14:29.138782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
21.4%
43
21.4%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (68) 86
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
21.4%
43
21.4%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (68) 86
42.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
21.4%
43
21.4%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (68) 86
42.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
43
21.4%
43
21.4%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
3
 
1.5%
3
 
1.5%
Other values (68) 86
42.8%
Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:14:30.008091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique39 ?
Unique (%)90.7%

Sample

1st row054-554-2080
2nd row054-552-1533
3rd row054-554-3070
4th row054-555-2533
5th row054-555-4023
ValueCountFrequency (%)
054-555-4016 2
 
4.7%
054-571-6631 2
 
4.7%
054-555-0670 1
 
2.3%
054-556-5402 1
 
2.3%
054-553-2919 1
 
2.3%
054-556-6666 1
 
2.3%
054-556-0010 1
 
2.3%
054-552-5477 1
 
2.3%
054-555-2625 1
 
2.3%
054-555-7779 1
 
2.3%
Other values (31) 31
72.1%
2024-03-14T21:14:31.270119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 158
30.6%
- 86
16.7%
0 67
13.0%
4 61
 
11.8%
7 27
 
5.2%
6 26
 
5.0%
2 24
 
4.7%
1 20
 
3.9%
3 19
 
3.7%
8 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 158
36.7%
0 67
15.6%
4 61
 
14.2%
7 27
 
6.3%
6 26
 
6.0%
2 24
 
5.6%
1 20
 
4.7%
3 19
 
4.4%
8 14
 
3.3%
9 14
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 158
30.6%
- 86
16.7%
0 67
13.0%
4 61
 
11.8%
7 27
 
5.2%
6 26
 
5.0%
2 24
 
4.7%
1 20
 
3.9%
3 19
 
3.7%
8 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 158
30.6%
- 86
16.7%
0 67
13.0%
4 61
 
11.8%
7 27
 
5.2%
6 26
 
5.0%
2 24
 
4.7%
1 20
 
3.9%
3 19
 
3.7%
8 14
 
2.7%

약국소재지
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T21:14:32.072446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length12.581395
Min length9

Characters and Unicode

Total characters541
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row문경시 중앙로 139
2nd row문경시 중앙로 195
3rd row문경시 당교로 261
4th row문경시 신흥로 155
5th row문경시 중앙로 50-3
ValueCountFrequency (%)
문경시 43
30.9%
중앙로 17
 
12.2%
3 4
 
2.9%
문경읍 3
 
2.2%
문희로 3
 
2.2%
1층 3
 
2.2%
당교3길 3
 
2.2%
상신로 2
 
1.4%
매봉4길 2
 
1.4%
28 2
 
1.4%
Other values (51) 57
41.0%
2024-03-14T21:14:33.277866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
22.6%
49
 
9.1%
46
 
8.5%
44
 
8.1%
1 31
 
5.7%
30
 
5.5%
3 18
 
3.3%
17
 
3.1%
17
 
3.1%
2 17
 
3.1%
Other values (36) 150
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
52.5%
Space Separator 122
22.6%
Decimal Number 122
22.6%
Dash Punctuation 7
 
1.3%
Other Punctuation 6
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
17.3%
46
16.2%
44
15.5%
30
10.6%
17
 
6.0%
17
 
6.0%
13
 
4.6%
6
 
2.1%
5
 
1.8%
4
 
1.4%
Other values (23) 53
18.7%
Decimal Number
ValueCountFrequency (%)
1 31
25.4%
3 18
14.8%
2 17
13.9%
4 15
12.3%
8 9
 
7.4%
6 9
 
7.4%
5 8
 
6.6%
9 6
 
4.9%
7 5
 
4.1%
0 4
 
3.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
52.5%
Common 257
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
17.3%
46
16.2%
44
15.5%
30
10.6%
17
 
6.0%
17
 
6.0%
13
 
4.6%
6
 
2.1%
5
 
1.8%
4
 
1.4%
Other values (23) 53
18.7%
Common
ValueCountFrequency (%)
122
47.5%
1 31
 
12.1%
3 18
 
7.0%
2 17
 
6.6%
4 15
 
5.8%
8 9
 
3.5%
6 9
 
3.5%
5 8
 
3.1%
- 7
 
2.7%
, 6
 
2.3%
Other values (3) 15
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
52.5%
ASCII 257
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
47.5%
1 31
 
12.1%
3 18
 
7.0%
2 17
 
6.6%
4 15
 
5.8%
8 9
 
3.5%
6 9
 
3.5%
5 8
 
3.1%
- 7
 
2.7%
, 6
 
2.3%
Other values (3) 15
 
5.8%
Hangul
ValueCountFrequency (%)
49
17.3%
46
16.2%
44
15.5%
30
10.6%
17
 
6.0%
17
 
6.0%
13
 
4.6%
6
 
2.1%
5
 
1.8%
4
 
1.4%
Other values (23) 53
18.7%

Interactions

2024-03-14T21:14:25.579592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:14:33.534598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번약국명칭약국전화번호약국소재지
순번1.0001.0000.8501.000
약국명칭1.0001.0001.0001.000
약국전화번호0.8501.0001.0001.000
약국소재지1.0001.0001.0001.000

Missing values

2024-03-14T21:14:25.886914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:14:26.163294image/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

순번약국명칭약국전화번호약국소재지
01건강약국054-554-2080문경시 중앙로 139
12경북약국054-552-1533문경시 중앙로 195
23그랜드약국054-554-3070문경시 당교로 261
34김약국054-555-2533문경시 신흥로 155
45대구약국054-555-4023문경시 중앙로 50-3
56대후약국054-554-8275문경시 중앙로 117-12
67동아온누리약국054-555-2786문경시 중앙로 117-15
78동원약국054-555-2746문경시 중앙로 184
89메디팜보건약국054-555-2555문경시 점촌1길 12
910메디팜보명당약국054-552-8532문경시 중앙로 128
순번약국명칭약국전화번호약국소재지
3334조은약국054-555-2219문경시 중앙로 85-2
3435종합약국054-556-8275문경시 당교3길 28
3536중앙약국054-555-5301문경시 중앙로 148, 1층
3637청기와약국054-555-4016문경시 문경읍 주흘로 41
3738청솔약국054-571-8275문경시 당교3길 20,
3839태평양약국054-556-0999문경시 중앙로 137,
3940하나로약국054-552-8008문경시 흥덕로 2
4041행복약국054-555-0670문경시 문희로 16
4142현대온누리약국054-571-6571문경시 중앙로 133
4243홍화약국054-556-5757문경시 문경읍 문희로 28