Overview

Dataset statistics

Number of variables4
Number of observations396
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대전광역시 서구 안전상비의약품 판매점, 소재지(도로명주소) 정보(안전상비의약품은 주로 가벼운 증상에 시급하게 사용하며 환자 스스로 판단하여 사용할 수 있는 것으로서 해당 품목의 성분, 부작용, 함량, 제형, 인지도, 구매의 편의성 등을 고려하여20개 품목 이내 의 범위에서 보건복지부장관이 정하여 고시하는 의약품을 말한다.)
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15084584/fileData.do

Alerts

기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:30:18.364747
Analysis finished2024-03-15 00:30:19.381349
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.5
Minimum1
Maximum396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-15T09:30:19.517851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.75
Q199.75
median198.5
Q3297.25
95-th percentile376.25
Maximum396
Range395
Interquartile range (IQR)197.5

Descriptive statistics

Standard deviation114.4596
Coefficient of variation (CV)0.57662267
Kurtosis-1.2
Mean198.5
Median Absolute Deviation (MAD)99
Skewness0
Sum78606
Variance13101
MonotonicityStrictly increasing
2024-03-15T09:30:19.905881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
274 1
 
0.3%
272 1
 
0.3%
271 1
 
0.3%
270 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
Other values (386) 386
97.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
396 1
0.3%
395 1
0.3%
394 1
0.3%
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%

판매점포명
Text

Distinct393
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-15T09:30:20.758839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.030303
Min length3

Characters and Unicode

Total characters3972
Distinct characters252
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

Unique390 ?
Unique (%)98.5%

Sample

1st row씨유대전가수원계룡점
2nd rowGS25가수원은아
3rd rowGS25가장래미안점
4th row씨유대전가장점
5th row지에스(GS)25괴정고
ValueCountFrequency (%)
세븐일레븐 26
 
5.6%
씨유 15
 
3.2%
지에스25 14
 
3.0%
주)코리아세븐 8
 
1.7%
gs25 3
 
0.6%
대전괴정점 2
 
0.4%
씨유탄방중앙점 2
 
0.4%
씨유대전갈마시티점 2
 
0.4%
대전변동점 2
 
0.4%
세븐일레븐대전괴정타운점 2
 
0.4%
Other values (391) 391
83.7%
2024-03-15T09:30:22.182915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 355
 
8.9%
대 204
 
5.1%
븐 191
 
4.8%
전 187
 
4.7%
2 161
 
4.1%
5 140
 
3.5%
씨 113
 
2.8%
유 113
 
2.8%
스 107
 
2.7%
세 104
 
2.6%
Other values (242) 2297
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3334
83.9%
Decimal Number 327
 
8.2%
Uppercase Letter 196
 
4.9%
Space Separator 71
 
1.8%
Close Punctuation 21
 
0.5%
Open Punctuation 20
 
0.5%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 355
 
10.6%
대 204
 
6.1%
븐 191
 
5.7%
전 187
 
5.6%
씨 113
 
3.4%
유 113
 
3.4%
스 107
 
3.2%
세 104
 
3.1%
일 96
 
2.9%
레 88
 
2.6%
Other values (220) 1776
53.3%
Decimal Number
ValueCountFrequency (%)
2 161
49.2%
5 140
42.8%
4 16
 
4.9%
3 5
 
1.5%
8 2
 
0.6%
9 1
 
0.3%
7 1
 
0.3%
0 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
S 90
45.9%
G 90
45.9%
U 6
 
3.1%
C 5
 
2.6%
K 2
 
1.0%
T 1
 
0.5%
D 1
 
0.5%
R 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
y 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3334
83.9%
Common 439
 
11.1%
Latin 199
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 355
 
10.6%
대 204
 
6.1%
븐 191
 
5.7%
전 187
 
5.6%
씨 113
 
3.4%
유 113
 
3.4%
스 107
 
3.2%
세 104
 
3.1%
일 96
 
2.9%
레 88
 
2.6%
Other values (220) 1776
53.3%
Common
ValueCountFrequency (%)
2 161
36.7%
5 140
31.9%
71
16.2%
) 21
 
4.8%
( 20
 
4.6%
4 16
 
3.6%
3 5
 
1.1%
8 2
 
0.5%
9 1
 
0.2%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
S 90
45.2%
G 90
45.2%
U 6
 
3.0%
C 5
 
2.5%
K 2
 
1.0%
T 1
 
0.5%
k 1
 
0.5%
y 1
 
0.5%
s 1
 
0.5%
D 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3334
83.9%
ASCII 638
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 355
 
10.6%
대 204
 
6.1%
븐 191
 
5.7%
전 187
 
5.6%
씨 113
 
3.4%
유 113
 
3.4%
스 107
 
3.2%
세 104
 
3.1%
일 96
 
2.9%
레 88
 
2.6%
Other values (220) 1776
53.3%
ASCII
ValueCountFrequency (%)
2 161
25.2%
5 140
21.9%
S 90
14.1%
G 90
14.1%
71
11.1%
) 21
 
3.3%
( 20
 
3.1%
4 16
 
2.5%
U 6
 
0.9%
C 5
 
0.8%
Other values (12) 18
 
2.8%

소재지(도로명)
Text

Distinct392
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-15T09:30:23.110253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length27.929293
Min length20

Characters and Unicode

Total characters11060
Distinct characters223
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)98.0%

Sample

1st row대전광역시 서구 가수원로 98, 상가동 1층 (가수원동, 계룡아파트)
2nd row대전광역시 서구 가수원로65번길 2 (가수원동)
3rd row대전광역시 서구 가장로 106 (가장동, 삼성래미안아파트)
4th row대전광역시 서구 가장로 129 (가장동)
5th row대전광역시 서구 가장로 16 (괴정동)
ValueCountFrequency (%)
대전광역시 396
 
17.8%
서구 396
 
17.8%
1층 74
 
3.3%
둔산동 66
 
3.0%
갈마동 51
 
2.3%
탄방동 42
 
1.9%
관저동 37
 
1.7%
월평동 33
 
1.5%
괴정동 27
 
1.2%
도마동 26
 
1.2%
Other values (553) 1072
48.3%
2024-03-15T09:30:24.651220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1824
 
16.5%
1 503
 
4.5%
대 463
 
4.2%
동 446
 
4.0%
서 416
 
3.8%
구 406
 
3.7%
역 401
 
3.6%
시 400
 
3.6%
전 398
 
3.6%
광 397
 
3.6%
Other values (213) 5406
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6398
57.8%
Space Separator 1824
 
16.5%
Decimal Number 1779
 
16.1%
Open Punctuation 396
 
3.6%
Close Punctuation 396
 
3.6%
Other Punctuation 216
 
2.0%
Dash Punctuation 35
 
0.3%
Uppercase Letter 12
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 463
 
7.2%
동 446
 
7.0%
서 416
 
6.5%
구 406
 
6.3%
역 401
 
6.3%
시 400
 
6.3%
전 398
 
6.2%
광 397
 
6.2%
로 390
 
6.1%
길 205
 
3.2%
Other values (186) 2476
38.7%
Decimal Number
ValueCountFrequency (%)
1 503
28.3%
3 210
11.8%
2 209
11.7%
0 171
 
9.6%
5 152
 
8.5%
4 138
 
7.8%
6 118
 
6.6%
7 109
 
6.1%
9 85
 
4.8%
8 84
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
P 2
16.7%
B 2
16.7%
J 1
8.3%
Z 1
8.3%
L 1
8.3%
U 1
8.3%
D 1
8.3%
K 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
1824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Other Punctuation
ValueCountFrequency (%)
, 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6398
57.8%
Common 4648
42.0%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 463
 
7.2%
동 446
 
7.0%
서 416
 
6.5%
구 406
 
6.3%
역 401
 
6.3%
시 400
 
6.3%
전 398
 
6.2%
광 397
 
6.2%
로 390
 
6.1%
길 205
 
3.2%
Other values (186) 2476
38.7%
Common
ValueCountFrequency (%)
1824
39.2%
1 503
 
10.8%
( 396
 
8.5%
) 396
 
8.5%
, 216
 
4.6%
3 210
 
4.5%
2 209
 
4.5%
0 171
 
3.7%
5 152
 
3.3%
4 138
 
3.0%
Other values (6) 433
 
9.3%
Latin
ValueCountFrequency (%)
A 2
14.3%
P 2
14.3%
B 2
14.3%
J 1
7.1%
Z 1
7.1%
L 1
7.1%
U 1
7.1%
D 1
7.1%
K 1
7.1%
k 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6398
57.8%
ASCII 4662
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1824
39.1%
1 503
 
10.8%
( 396
 
8.5%
) 396
 
8.5%
, 216
 
4.6%
3 210
 
4.5%
2 209
 
4.5%
0 171
 
3.7%
5 152
 
3.3%
4 138
 
3.0%
Other values (17) 447
 
9.6%
Hangul
ValueCountFrequency (%)
대 463
 
7.2%
동 446
 
7.0%
서 416
 
6.5%
구 406
 
6.3%
역 401
 
6.3%
시 400
 
6.3%
전 398
 
6.2%
광 397
 
6.2%
로 390
 
6.1%
길 205
 
3.2%
Other values (186) 2476
38.7%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-10
396 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-10
2nd row2024-01-10
3rd row2024-01-10
4th row2024-01-10
5th row2024-01-10

Common Values

ValueCountFrequency (%)
2024-01-10 396
100.0%

Length

2024-03-15T09:30:25.006353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:30:25.319242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-10 396
100.0%

Interactions

2024-03-15T09:30:18.751189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T09:30:18.973711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:30:19.321742image/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

연번판매점포명소재지(도로명)기준일
01씨유대전가수원계룡점대전광역시 서구 가수원로 98, 상가동 1층 (가수원동, 계룡아파트)2024-01-10
12GS25가수원은아대전광역시 서구 가수원로65번길 2 (가수원동)2024-01-10
23GS25가장래미안점대전광역시 서구 가장로 106 (가장동, 삼성래미안아파트)2024-01-10
34씨유대전가장점대전광역시 서구 가장로 129 (가장동)2024-01-10
45지에스(GS)25괴정고대전광역시 서구 가장로 16 (괴정동)2024-01-10
56지에스25괴정힐링점대전광역시 서구 가장로 51 (괴정동)2024-01-10
67지에스25괴정한민점대전광역시 서구 가장로 79, 1층 (괴정동)2024-01-10
78GS25갈마푸른점대전광역시 서구 갈마로 105 (갈마동)2024-01-10
89(주)코리아세븐대전갈마로점대전광역시 서구 갈마로 125, 행복씨에이치 1층 (갈마동)2024-01-10
910지에스25갈마드림점대전광역시 서구 갈마로 13-32 (갈마동)2024-01-10
연번판매점포명소재지(도로명)기준일
386387세븐일레븐대전월평점대전광역시 서구 청사서로 34 (월평동)2024-01-10
387388GS25대전본점대전광역시 서구 청사서로 46 (월평동)2024-01-10
388389세븐일레븐성가정점대전광역시 서구 탄방로 12 (탄방동)2024-01-10
389390(주)코리아세븐 대전탄방중앙점대전광역시 서구 탄방로 50-30, 광명빌 (탄방동)2024-01-10
390391씨유탄방주공점대전광역시 서구 탄방로 53, 민승빌 1층 (탄방동)2024-01-10
391392GS25탄방스타대전광역시 서구 탄방로7번길 71 (탄방동, 다함빌딩)2024-01-10
392393씨유 대전삼성생명점대전광역시 서구 한밭대로 755, 삼성생명 1층 (둔산동)2024-01-10
393394GS25월평갤러리점대전광역시 서구 한밭대로570번길 29-4 (월평동)2024-01-10
394395미니스톱월평이마트점대전광역시 서구 한밭대로570번길 38 (월평동)2024-01-10
395396(주)코리아세븐대전월평제일점대전광역시 서구 한밭대로707번길 25 (월평동)2024-01-10