Overview

Dataset statistics

Number of variables4
Number of observations193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory33.7 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대전광역시 중구 안전 상비의약품 판매업 현황(순번, 판매점포명, 소재지-도로명, 전화번호, 데이터 기준일자) 정보를 제공합니다.
Author대전광역시 중구
URLhttps://www.data.go.kr/data/15072860/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:39:01.969228
Analysis finished2023-12-12 07:39:02.586128
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97
Minimum1
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T16:39:02.709241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.6
Q149
median97
Q3145
95-th percentile183.4
Maximum193
Range192
Interquartile range (IQR)96

Descriptive statistics

Standard deviation55.858452
Coefficient of variation (CV)0.57586033
Kurtosis-1.2
Mean97
Median Absolute Deviation (MAD)48
Skewness0
Sum18721
Variance3120.1667
MonotonicityStrictly increasing
2023-12-12T16:39:02.915992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
146 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%
131 1
 
0.5%
Other values (183) 183
94.8%
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 (%)
193 1
0.5%
192 1
0.5%
191 1
0.5%
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%

판매점포명
Text

Distinct192
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T16:39:03.216711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length11.818653
Min length5

Characters and Unicode

Total characters2281
Distinct characters172
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)99.0%

Sample

1st row세븐일레븐 대전유천점
2nd row(주)코리아세븐 대전스카이로드점
3rd row(주)코리아세븐 대전선화드림점
4th row지에스25(GS25)대전시영점
5th row지에스25(GS25)도서관미래점
ValueCountFrequency (%)
세븐일레븐 32
 
9.8%
씨유 28
 
8.6%
gs25 16
 
4.9%
지에스25 14
 
4.3%
지에스(gs)25 11
 
3.4%
주)코리아세븐 10
 
3.1%
이마트24 5
 
1.5%
선화사랑점 3
 
0.9%
미니스톱 3
 
0.9%
대전유천점 2
 
0.6%
Other values (195) 203
62.1%
2023-12-12T16:39:03.667192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 183
 
8.0%
대 157
 
6.9%
134
 
5.9%
전 126
 
5.5%
2 97
 
4.3%
븐 88
 
3.9%
5 88
 
3.9%
스 85
 
3.7%
유 69
 
3.0%
지 58
 
2.5%
Other values (162) 1196
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1745
76.5%
Decimal Number 196
 
8.6%
Space Separator 134
 
5.9%
Uppercase Letter 114
 
5.0%
Close Punctuation 48
 
2.1%
Open Punctuation 43
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 183
 
10.5%
대 157
 
9.0%
전 126
 
7.2%
븐 88
 
5.0%
스 85
 
4.9%
유 69
 
4.0%
지 58
 
3.3%
에 55
 
3.2%
씨 55
 
3.2%
세 53
 
3.0%
Other values (147) 816
46.8%
Uppercase Letter
ValueCountFrequency (%)
G 51
44.7%
S 51
44.7%
C 5
 
4.4%
U 4
 
3.5%
I 1
 
0.9%
N 1
 
0.9%
R 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 97
49.5%
5 88
44.9%
4 9
 
4.6%
1 2
 
1.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1745
76.5%
Common 422
 
18.5%
Latin 114
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 183
 
10.5%
대 157
 
9.0%
전 126
 
7.2%
븐 88
 
5.0%
스 85
 
4.9%
유 69
 
4.0%
지 58
 
3.3%
에 55
 
3.2%
씨 55
 
3.2%
세 53
 
3.0%
Other values (147) 816
46.8%
Common
ValueCountFrequency (%)
134
31.8%
2 97
23.0%
5 88
20.9%
) 48
 
11.4%
( 43
 
10.2%
4 9
 
2.1%
1 2
 
0.5%
, 1
 
0.2%
Latin
ValueCountFrequency (%)
G 51
44.7%
S 51
44.7%
C 5
 
4.4%
U 4
 
3.5%
I 1
 
0.9%
N 1
 
0.9%
R 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1745
76.5%
ASCII 536
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 183
 
10.5%
대 157
 
9.0%
전 126
 
7.2%
븐 88
 
5.0%
스 85
 
4.9%
유 69
 
4.0%
지 58
 
3.3%
에 55
 
3.2%
씨 55
 
3.2%
세 53
 
3.0%
Other values (147) 816
46.8%
ASCII
ValueCountFrequency (%)
134
25.0%
2 97
18.1%
5 88
16.4%
G 51
 
9.5%
S 51
 
9.5%
) 48
 
9.0%
( 43
 
8.0%
4 9
 
1.7%
C 5
 
0.9%
U 4
 
0.7%
Other values (5) 6
 
1.1%

소재지(도로명)
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T16:39:03.968747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length28.056995
Min length19

Characters and Unicode

Total characters5415
Distinct characters170
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

Unique193 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 유천로33번길 98 (유천동)
2nd row대전광역시 중구 중앙로164번길 49 (은행동)
3rd row대전광역시 중구 대종로 605, 1층 102호 (선화동, 현암에버드림아파트)
4th row대전광역시 중구 대종로 701, 101호 (중촌동, 시영아파트)
5th row대전광역시 중구 천근로70번길 6, 1층 (문화동)
ValueCountFrequency (%)
대전광역시 193
 
17.5%
중구 193
 
17.5%
1층 62
 
5.6%
유천동 21
 
1.9%
문화동 21
 
1.9%
대흥동 19
 
1.7%
선화동 19
 
1.7%
오류동 13
 
1.2%
대종로 12
 
1.1%
용두동 10
 
0.9%
Other values (325) 543
49.1%
2023-12-12T16:39:04.415581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
913
 
16.9%
대 280
 
5.2%
1 265
 
4.9%
중 230
 
4.2%
동 216
 
4.0%
전 198
 
3.7%
시 195
 
3.6%
역 194
 
3.6%
로 194
 
3.6%
( 193
 
3.6%
Other values (160) 2537
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3078
56.8%
Space Separator 913
 
16.9%
Decimal Number 889
 
16.4%
Open Punctuation 193
 
3.6%
Close Punctuation 193
 
3.6%
Other Punctuation 129
 
2.4%
Dash Punctuation 15
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 280
 
9.1%
중 230
 
7.5%
동 216
 
7.0%
전 198
 
6.4%
시 195
 
6.3%
역 194
 
6.3%
로 194
 
6.3%
광 193
 
6.3%
구 193
 
6.3%
번 83
 
2.7%
Other values (140) 1102
35.8%
Decimal Number
ValueCountFrequency (%)
1 265
29.8%
0 95
 
10.7%
3 90
 
10.1%
2 88
 
9.9%
5 75
 
8.4%
4 71
 
8.0%
7 60
 
6.7%
6 58
 
6.5%
8 44
 
4.9%
9 43
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
C 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 128
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
913
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3078
56.8%
Common 2334
43.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 280
 
9.1%
중 230
 
7.5%
동 216
 
7.0%
전 198
 
6.4%
시 195
 
6.3%
역 194
 
6.3%
로 194
 
6.3%
광 193
 
6.3%
구 193
 
6.3%
번 83
 
2.7%
Other values (140) 1102
35.8%
Common
ValueCountFrequency (%)
913
39.1%
1 265
 
11.4%
( 193
 
8.3%
) 193
 
8.3%
, 128
 
5.5%
0 95
 
4.1%
3 90
 
3.9%
2 88
 
3.8%
5 75
 
3.2%
4 71
 
3.0%
Other values (7) 223
 
9.6%
Latin
ValueCountFrequency (%)
N 1
33.3%
C 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3078
56.8%
ASCII 2337
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
913
39.1%
1 265
 
11.3%
( 193
 
8.3%
) 193
 
8.3%
, 128
 
5.5%
0 95
 
4.1%
3 90
 
3.9%
2 88
 
3.8%
5 75
 
3.2%
4 71
 
3.0%
Other values (10) 226
 
9.7%
Hangul
ValueCountFrequency (%)
대 280
 
9.1%
중 230
 
7.5%
동 216
 
7.0%
전 198
 
6.4%
시 195
 
6.3%
역 194
 
6.3%
로 194
 
6.3%
광 193
 
6.3%
구 193
 
6.3%
번 83
 
2.7%
Other values (140) 1102
35.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-11-28
193 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-28
2nd row2023-11-28
3rd row2023-11-28
4th row2023-11-28
5th row2023-11-28

Common Values

ValueCountFrequency (%)
2023-11-28 193
100.0%

Length

2023-12-12T16:39:04.571946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:39:04.681891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-28 193
100.0%

Interactions

2023-12-12T16:39:02.226460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T16:39:02.392658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:39:02.524912image/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

순번판매점포명소재지(도로명)데이터기준일자
01세븐일레븐 대전유천점대전광역시 중구 유천로33번길 98 (유천동)2023-11-28
12(주)코리아세븐 대전스카이로드점대전광역시 중구 중앙로164번길 49 (은행동)2023-11-28
23(주)코리아세븐 대전선화드림점대전광역시 중구 대종로 605, 1층 102호 (선화동, 현암에버드림아파트)2023-11-28
34지에스25(GS25)대전시영점대전광역시 중구 대종로 701, 101호 (중촌동, 시영아파트)2023-11-28
45지에스25(GS25)도서관미래점대전광역시 중구 천근로70번길 6, 1층 (문화동)2023-11-28
56씨유 대전유천센터점대전광역시 중구 계백로1565번길 19, 1층 (유천동)2023-11-28
67지에스25 대전석교스타점대전광역시 중구 대종로 249, 1층 (석교동)2023-11-28
78세븐일레븐 안영IC점대전광역시 중구 대둔산로 157 (안영동)2023-11-28
89이마트24 대전유천정현점대전광역시 중구 유천로86번길 10, 1층 (유천동)2023-11-28
910세븐일레븐 대전대사더본점대전광역시 중구 계룡로920번길 32 (대사동)2023-11-28
순번판매점포명소재지(도로명)데이터기준일자
183184GS25 유천중앙점대전광역시 중구 유천로 47 (유천동)2023-11-28
184185훼미리마트한밭운동장점대전광역시 중구 대종로 360 (부사동)2023-11-28
185186GS25 용두원룸점대전광역시 중구 계룡로783번길 13 (용두동)2023-11-28
186187세븐일레븐 대전선화점대전광역시 중구 대종로505번길 22 (선화동)2023-11-28
187188씨유대전목동점대전광역시 중구 목동로 29 (목동)2023-11-28
188189이마트24 대전을지대 아름점대전광역시 중구 동서대로1321번길 53 (용두동)2023-11-28
189190씨유 대전석교점대전광역시 중구 대종로 223 (석교동)2023-11-28
190191씨유 뉴문화동상아점대전광역시 중구 계백로1686번길 51, 103호 (문화동, 상아아파트)2023-11-28
191192GS25 대전국일점대전광역시 중구 대흥로 14 (문화동)2023-11-28
192193씨유 대전태평유등점대전광역시 중구 수침로 109-1 (태평동)2023-11-28