Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory61.9 B

Variable types

DateTime2
Text4
Numeric1

Dataset

Description서천군 소재 약국현황 정보를 제공하고 있습니다(개설자명, 약국명, 종별, 약국소재지, 연락처 등을 안내하고 있습니다.)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=429&beforeMenuCd=DOM_000000201001001000&publicdatapk=3073122

Alerts

데이터기준일자 has constant value ""Constant
등록일자 has unique valuesUnique
개설자명 has unique valuesUnique
약국명칭 has unique valuesUnique
약국소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:21:37.249922
Analysis finished2024-01-09 23:21:37.753927
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1971-12-03 00:00:00
Maximum2018-11-29 00:00:00
2024-01-10T08:21:37.805008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:21:37.919919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

개설자명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T08:21:38.098784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters81
Distinct characters54
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

Unique27 ?
Unique (%)100.0%

Sample

1st row김선겸
2nd row고용석
3rd row김진우
4th row이가영
5th row허승무
ValueCountFrequency (%)
김선겸 1
 
3.7%
박공희 1
 
3.7%
조성재 1
 
3.7%
조덕호 1
 
3.7%
손재국 1
 
3.7%
정용석 1
 
3.7%
박승희 1
 
3.7%
손낙순 1
 
3.7%
이두용 1
 
3.7%
조구원 1
 
3.7%
Other values (17) 17
63.0%
2024-01-10T08:21:38.366566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 51
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 51
63.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 51
63.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 51
63.0%

약국명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T08:21:38.544092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7037037
Min length3

Characters and Unicode

Total characters127
Distinct characters54
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

Unique27 ?
Unique (%)100.0%

Sample

1st row건지약국
2nd row김약국
3rd row늘푸른약국
4th row다나약국
5th row더조은약국
ValueCountFrequency (%)
건지약국 1
 
3.7%
유명약국 1
 
3.7%
화신약국 1
 
3.7%
행복한약국 1
 
3.7%
해맑은약국 1
 
3.7%
한사랑약국 1
 
3.7%
하나약국 1
 
3.7%
하구둑약국 1
 
3.7%
태산약국 1
 
3.7%
진성약국 1
 
3.7%
Other values (17) 17
63.0%
2024-01-10T08:21:38.856660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
21.3%
27
21.3%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (44) 51
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
21.3%
27
21.3%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (44) 51
40.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
21.3%
27
21.3%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (44) 51
40.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
21.3%
27
21.3%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (44) 51
40.2%

우편번호
Real number (ℝ)

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33642.037
Minimum33602
Maximum33674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-10T08:21:38.958436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33602
5-th percentile33604.5
Q133635
median33642
Q333652
95-th percentile33672.7
Maximum33674
Range72
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.239443
Coefficient of variation (CV)0.00063133643
Kurtosis-0.39407178
Mean33642.037
Median Absolute Deviation (MAD)7
Skewness-0.23512261
Sum908335
Variance451.11396
MonotonicityNot monotonic
2024-01-10T08:21:39.052523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
33642 8
29.6%
33624 2
 
7.4%
33608 2
 
7.4%
33635 2
 
7.4%
33670 2
 
7.4%
33643 2
 
7.4%
33640 1
 
3.7%
33647 1
 
3.7%
33674 1
 
3.7%
33672 1
 
3.7%
Other values (5) 5
18.5%
ValueCountFrequency (%)
33602 1
 
3.7%
33603 1
 
3.7%
33608 2
 
7.4%
33624 2
 
7.4%
33635 2
 
7.4%
33640 1
 
3.7%
33642 8
29.6%
33643 2
 
7.4%
33647 1
 
3.7%
33657 1
 
3.7%
ValueCountFrequency (%)
33674 1
 
3.7%
33673 1
 
3.7%
33672 1
 
3.7%
33671 1
 
3.7%
33670 2
 
7.4%
33657 1
 
3.7%
33647 1
 
3.7%
33643 2
 
7.4%
33642 8
29.6%
33640 1
 
3.7%

약국소재지
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T08:21:39.220544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length21.037037
Min length18

Characters and Unicode

Total characters568
Distinct characters41
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

Unique27 ?
Unique (%)100.0%

Sample

1st row충청남도 서천군 한산면 한산모시길 30
2nd row충청남도 서천군 비인면 비인로 207-2
3rd row충청남도 서천군 서천읍 충절로59번길 22
4th row충청남도 서천군 서천읍 충절로59번길 31-5
5th row충청남도 서천군 서천읍 사곡로43번길 1
ValueCountFrequency (%)
충청남도 27
19.9%
서천군 27
19.9%
서천읍 14
 
10.3%
장항읍 6
 
4.4%
장항로 4
 
2.9%
1 3
 
2.2%
서천로 3
 
2.2%
충절로59번길 3
 
2.2%
서면 2
 
1.5%
충절로 2
 
1.5%
Other values (39) 45
33.1%
2024-01-10T08:21:39.508118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
19.2%
50
 
8.8%
44
 
7.7%
35
 
6.2%
28
 
4.9%
28
 
4.9%
28
 
4.9%
27
 
4.8%
24
 
4.2%
1 22
 
3.9%
Other values (31) 173
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
65.5%
Space Separator 109
 
19.2%
Decimal Number 81
 
14.3%
Dash Punctuation 5
 
0.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
13.4%
44
11.8%
35
9.4%
28
 
7.5%
28
 
7.5%
28
 
7.5%
27
 
7.3%
24
 
6.5%
20
 
5.4%
13
 
3.5%
Other values (18) 75
20.2%
Decimal Number
ValueCountFrequency (%)
1 22
27.2%
5 11
13.6%
9 9
11.1%
4 7
 
8.6%
7 7
 
8.6%
3 7
 
8.6%
2 6
 
7.4%
8 5
 
6.2%
0 4
 
4.9%
6 3
 
3.7%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
65.5%
Common 196
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
13.4%
44
11.8%
35
9.4%
28
 
7.5%
28
 
7.5%
28
 
7.5%
27
 
7.3%
24
 
6.5%
20
 
5.4%
13
 
3.5%
Other values (18) 75
20.2%
Common
ValueCountFrequency (%)
109
55.6%
1 22
 
11.2%
5 11
 
5.6%
9 9
 
4.6%
4 7
 
3.6%
7 7
 
3.6%
3 7
 
3.6%
2 6
 
3.1%
- 5
 
2.6%
8 5
 
2.6%
Other values (3) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
65.5%
ASCII 196
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
55.6%
1 22
 
11.2%
5 11
 
5.6%
9 9
 
4.6%
4 7
 
3.6%
7 7
 
3.6%
3 7
 
3.6%
2 6
 
3.1%
- 5
 
2.6%
8 5
 
2.6%
Other values (3) 8
 
4.1%
Hangul
ValueCountFrequency (%)
50
13.4%
44
11.8%
35
9.4%
28
 
7.5%
28
 
7.5%
28
 
7.5%
27
 
7.3%
24
 
6.5%
20
 
5.4%
13
 
3.5%
Other values (18) 75
20.2%

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T08:21:39.682077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row041-951-7779
2nd row041-952-3959
3rd row041-953-5212
4th row041-953-0189
5th row041-953-6227
ValueCountFrequency (%)
041-951-7779 1
 
3.7%
041-952-7045 1
 
3.7%
041-956-0405 1
 
3.7%
041-952-1502 1
 
3.7%
041-951-7576 1
 
3.7%
041-956-3047 1
 
3.7%
041-953-2034 1
 
3.7%
041-956-8920 1
 
3.7%
041-951-7515 1
 
3.7%
041-952-1510 1
 
3.7%
Other values (17) 17
63.0%
2024-01-10T08:21:39.956325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/