Overview

Dataset statistics

Number of variables4
Number of observations225
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 계양구 안전상비의약품 판매업 현황에 대한 데이터로, 순번, 판매점포명, 데이터기준일 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15037968/fileData.do

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique
판매점포명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:13:43.103047
Analysis finished2024-03-14 17:13:44.037104
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113
Minimum1
Maximum225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T02:13:44.256599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.2
Q157
median113
Q3169
95-th percentile213.8
Maximum225
Range224
Interquartile range (IQR)112

Descriptive statistics

Standard deviation65.096083
Coefficient of variation (CV)0.57607153
Kurtosis-1.2
Mean113
Median Absolute Deviation (MAD)56
Skewness0
Sum25425
Variance4237.5
MonotonicityStrictly increasing
2024-03-15T02:13:44.619137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
170 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
Other values (215) 215
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%

판매점포명
Text

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T02:13:45.662778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.208889
Min length5

Characters and Unicode

Total characters2297
Distinct characters194
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

Unique225 ?
Unique (%)100.0%

Sample

1st row지에스25 계양타운점
2nd row씨유 계양영안힐스점
3rd row지에스(GS)25 인천효성점
4th row세븐일레븐 동양제일점
5th row지에스25 작전중앙점
ValueCountFrequency (%)
씨유 28
 
8.0%
세븐일레븐 27
 
7.7%
지에스25 15
 
4.3%
주)코리아세븐 13
 
3.7%
지에스(gs)25 13
 
3.7%
gs25 10
 
2.8%
이마트24 5
 
1.4%
씨유(cu 5
 
1.4%
cu 4
 
1.1%
작전현대점 3
 
0.9%
Other values (218) 228
65.0%
2024-03-15T02:13:48.223056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 207
 
9.0%
126
 
5.5%
계 112
 
4.9%
븐 96
 
4.2%
2 81
 
3.5%
양 79
 
3.4%
5 74
 
3.2%
유 60
 
2.6%
세 59
 
2.6%
씨 56
 
2.4%
Other values (184) 1347
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1760
76.6%
Decimal Number 168
 
7.3%
Uppercase Letter 165
 
7.2%
Space Separator 126
 
5.5%
Open Punctuation 34
 
1.5%
Close Punctuation 34
 
1.5%
Lowercase Letter 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 207
 
11.8%
계 112
 
6.4%
븐 96
 
5.5%
양 79
 
4.5%
유 60
 
3.4%
세 59
 
3.4%
씨 56
 
3.2%
산 52
 
3.0%
인 48
 
2.7%
스 44
 
2.5%
Other values (161) 947
53.8%
Uppercase Letter
ValueCountFrequency (%)
G 49
29.7%
S 49
29.7%
U 31
18.8%
C 31
18.8%
R 3
 
1.8%
A 1
 
0.6%
P 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
l 3
30.0%
s 2
20.0%
w 1
 
10.0%
a 1
 
10.0%
y 1
 
10.0%
u 1
 
10.0%
e 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 81
48.2%
5 74
44.0%
4 7
 
4.2%
1 4
 
2.4%
6 1
 
0.6%
3 1
 
0.6%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1760
76.6%
Common 362
 
15.8%
Latin 175
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 207
 
11.8%
계 112
 
6.4%
븐 96
 
5.5%
양 79
 
4.5%
유 60
 
3.4%
세 59
 
3.4%
씨 56
 
3.2%
산 52
 
3.0%
인 48
 
2.7%
스 44
 
2.5%
Other values (161) 947
53.8%
Latin
ValueCountFrequency (%)
G 49
28.0%
S 49
28.0%
U 31
17.7%
C 31
17.7%
l 3
 
1.7%
R 3
 
1.7%
s 2
 
1.1%
A 1
 
0.6%
w 1
 
0.6%
a 1
 
0.6%
Other values (4) 4
 
2.3%
Common
ValueCountFrequency (%)
126
34.8%
2 81
22.4%
5 74
20.4%
( 34
 
9.4%
) 34
 
9.4%
4 7
 
1.9%
1 4
 
1.1%
6 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1760
76.6%
ASCII 537
 
23.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 207
 
11.8%
계 112
 
6.4%
븐 96
 
5.5%
양 79
 
4.5%
유 60
 
3.4%
세 59
 
3.4%
씨 56
 
3.2%
산 52
 
3.0%
인 48
 
2.7%
스 44
 
2.5%
Other values (161) 947
53.8%
ASCII
ValueCountFrequency (%)
126
23.5%
2 81
15.1%
5 74
13.8%
G 49
 
9.1%
S 49
 
9.1%
( 34
 
6.3%
) 34
 
6.3%
U 31
 
5.8%
C 31
 
5.8%
4 7
 
1.3%
Other values (13) 21
 
3.9%

소재지(도로명)
Text

Distinct224
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T02:13:49.690780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length34.702222
Min length22

Characters and Unicode

Total characters7808
Distinct characters219
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

Unique223 ?
Unique (%)99.1%

Sample

1st row인천광역시 계양구 계산새로87번길 16, 계양신명스카이홈 106호 (용종동)
2nd row인천광역시 계양구 계양대로97번길 6, 1층 1호 (작전동, 영안빌라)
3rd row인천광역시 계양구 아나지로 75, 효성다섬프라자 1층 107호 (효성동)
4th row인천광역시 계양구 당미길 4, 1층 (동양동)
5th row인천광역시 계양구 오조산로 1, 거승프라자 106호 (작전동)
ValueCountFrequency (%)
인천광역시 225
 
14.9%
계양구 225
 
14.9%
1층 97
 
6.4%
계산동 67
 
4.4%
작전동 58
 
3.8%
효성동 36
 
2.4%
상가동 22
 
1.5%
101호 18
 
1.2%
장제로 14
 
0.9%
임학동 12
 
0.8%
Other values (430) 737
48.8%
2024-03-15T02:13:51.395692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1286
 
16.5%
1 488
 
6.2%
계 359
 
4.6%
동 286
 
3.7%
양 278
 
3.6%
, 268
 
3.4%
천 232
 
3.0%
시 229
 
2.9%
인 228
 
2.9%
광 228
 
2.9%
Other values (209) 3926
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4479
57.4%
Space Separator 1286
 
16.5%
Decimal Number 1286
 
16.5%
Other Punctuation 278
 
3.6%
Close Punctuation 225
 
2.9%
Open Punctuation 225
 
2.9%
Uppercase Letter 16
 
0.2%
Dash Punctuation 7
 
0.1%
Math Symbol 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 359
 
8.0%
동 286
 
6.4%
양 278
 
6.2%
천 232
 
5.2%
시 229
 
5.1%
인 228
 
5.1%
광 228
 
5.1%
역 226
 
5.0%
구 225
 
5.0%
로 212
 
4.7%
Other values (184) 1976
44.1%
Decimal Number
ValueCountFrequency (%)
1 488
37.9%
0 159
 
12.4%
2 121
 
9.4%
3 96
 
7.5%
7 88
 
6.8%
5 87
 
6.8%
4 82
 
6.4%
9 64
 
5.0%
6 63
 
4.9%
8 38
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
37.5%
B 4
25.0%
C 2
 
12.5%
Z 1
 
6.2%
I 1
 
6.2%
P 1
 
6.2%
L 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 268
96.4%
. 10
 
3.6%
Space Separator
ValueCountFrequency (%)
1286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4479
57.4%
Common 3312
42.4%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 359
 
8.0%
동 286
 
6.4%
양 278
 
6.2%
천 232
 
5.2%
시 229
 
5.1%
인 228
 
5.1%
광 228
 
5.1%
역 226
 
5.0%
구 225
 
5.0%
로 212
 
4.7%
Other values (184) 1976
44.1%
Common
ValueCountFrequency (%)
1286
38.8%
1 488
 
14.7%
, 268
 
8.1%
) 225
 
6.8%
( 225
 
6.8%
0 159
 
4.8%
2 121
 
3.7%
3 96
 
2.9%
7 88
 
2.7%
5 87
 
2.6%
Other values (7) 269
 
8.1%
Latin
ValueCountFrequency (%)
A 6
35.3%
B 4
23.5%
C 2
 
11.8%
Z 1
 
5.9%
I 1
 
5.9%
P 1
 
5.9%
L 1
 
5.9%
e 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4479
57.4%
ASCII 3329
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1286
38.6%
1 488
 
14.7%
, 268
 
8.1%
) 225
 
6.8%
( 225
 
6.8%
0 159
 
4.8%
2 121
 
3.6%
3 96
 
2.9%
7 88
 
2.6%
5 87
 
2.6%
Other values (15) 286
 
8.6%
Hangul
ValueCountFrequency (%)
계 359
 
8.0%
동 286
 
6.4%
양 278
 
6.2%
천 232
 
5.2%
시 229
 
5.1%
인 228
 
5.1%
광 228
 
5.1%
역 226
 
5.0%
구 225
 
5.0%
로 212
 
4.7%
Other values (184) 1976
44.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2024-03-07 00:00:00
Maximum2024-03-07 00:00:00
2024-03-15T02:13:51.740201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:13:52.053653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:13:43.471487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T02:13:43.786430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:13:43.974445image/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)데이터기준일
01지에스25 계양타운점인천광역시 계양구 계산새로87번길 16, 계양신명스카이홈 106호 (용종동)2024-03-07
12씨유 계양영안힐스점인천광역시 계양구 계양대로97번길 6, 1층 1호 (작전동, 영안빌라)2024-03-07
23지에스(GS)25 인천효성점인천광역시 계양구 아나지로 75, 효성다섬프라자 1층 107호 (효성동)2024-03-07
34세븐일레븐 동양제일점인천광역시 계양구 당미길 4, 1층 (동양동)2024-03-07
45지에스25 작전중앙점인천광역시 계양구 오조산로 1, 거승프라자 106호 (작전동)2024-03-07
56GS25 계산명인점인천광역시 계양구 경명대로 1120, 명인프라자2 101호 (계산동)2024-03-07
67GS25인천동양점인천광역시 계양구 둥그재산길 1, 1층 (동양동)2024-03-07
78GS25작전무궁점인천광역시 계양구 계양대로 140, 1층 (작전동)2024-03-07
89씨유경인유경점인천광역시 계양구 계양산로 66, B동 1층 A호 (계산동, 세경빌라)2024-03-07
910씨유계양동보점인천광역시 계양구 도두리로 46, 도두리마을 동보아파트 1층 26,27호 (작전동)2024-03-07
순번판매점포명소재지(도로명)데이터기준일
215216팝스토어 작전역점인천광역시 계양구 계양대로 90 (작전동)2024-03-07
216217CU계산태평점인천광역시 계양구 용종로 30, 101동 115층 (계산동, 은행마을태평상가)2024-03-07
217218세븐일레븐 인천계산점인천광역시 계양구 장제로772번길 2 (계산동)2024-03-07
218219세븐일레븐 인천아이빌점인천광역시 계양구 오조산로45번길 8, 101호 (계산동, 현해아이빌)2024-03-07
219220GS25효성성지점인천광역시 계양구 아나지로247번길 11, 109호 (효성동, 모닝프라자)2024-03-07
220221CU계양구청점인천광역시 계양구 오조산로45번길 7, 105호 (계산동, 프리랜서빌)2024-03-07
221222세븐일레븐 계산새길로점인천광역시 계양구 계산로100번길 1 (계산동)2024-03-07
222223세븐일레븐 작전현대점인천광역시 계양구 효서로 381, 3호 (작전동, 현대2-1차아파트)2024-03-07
223224세븐일레븐 인천효성점인천광역시 계양구 안남로 551 (효성동)2024-03-07
224225세븐일레븐계양체육공원점인천광역시 계양구 살라리로 8, 101호 (서운동)2024-03-07