Overview

Dataset statistics

Number of variables3
Number of observations478
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory25.3 B

Variable types

Numeric1
Text2

Dataset

Description익산시 소제하고있는 의료기기 판매업소에 대한 영업소명, 도로명주소, 전화번호 등의 데이터 현황을 제공하고 있으니다.
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/3079081/fileData.do

Alerts

순번 has unique valuesUnique
영업소명 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:56:35.273232
Analysis finished2024-05-04 07:56:37.129066
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct478
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.5
Minimum1
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-04T07:56:37.480259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.85
Q1120.25
median239.5
Q3358.75
95-th percentile454.15
Maximum478
Range477
Interquartile range (IQR)238.5

Descriptive statistics

Standard deviation138.13098
Coefficient of variation (CV)0.57674729
Kurtosis-1.2
Mean239.5
Median Absolute Deviation (MAD)119.5
Skewness0
Sum114481
Variance19080.167
MonotonicityStrictly increasing
2024-05-04T07:56:38.106212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
316 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
Other values (468) 468
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%

영업소명
Text

UNIQUE 

Distinct478
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-04T07:56:38.726668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.1401674
Min length2

Characters and Unicode

Total characters4369
Distinct characters374
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)100.0%

Sample

1st row202
2nd row(유) 성진유통 위니아익산점
3rd row(유)노블레스
4th row(유)다몸플러스
5th row(유)스마트
ValueCountFrequency (%)
세븐일레븐 51
 
6.6%
gs25 46
 
6.0%
씨유 31
 
4.0%
cu 24
 
3.1%
지에스25 11
 
1.4%
이마트24 11
 
1.4%
익산점 10
 
1.3%
주식회사 7
 
0.9%
익산 5
 
0.7%
유한회사 5
 
0.7%
Other values (519) 568
73.9%
2024-05-04T07:56:40.122918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
 
6.7%
254
 
5.8%
211
 
4.8%
187
 
4.3%
107
 
2.4%
93
 
2.1%
90
 
2.1%
2 81
 
1.9%
73
 
1.7%
) 70
 
1.6%
Other values (364) 2912
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3563
81.6%
Space Separator 291
 
6.7%
Uppercase Letter 187
 
4.3%
Decimal Number 170
 
3.9%
Close Punctuation 70
 
1.6%
Open Punctuation 66
 
1.5%
Lowercase Letter 16
 
0.4%
Other Symbol 3
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
254
 
7.1%
211
 
5.9%
187
 
5.2%
107
 
3.0%
93
 
2.6%
90
 
2.5%
73
 
2.0%
67
 
1.9%
66
 
1.9%
58
 
1.6%
Other values (326) 2357
66.2%
Uppercase Letter
ValueCountFrequency (%)
G 54
28.9%
S 52
27.8%
C 30
16.0%
U 26
13.9%
I 4
 
2.1%
E 3
 
1.6%
A 3
 
1.6%
N 3
 
1.6%
B 2
 
1.1%
R 2
 
1.1%
Other values (6) 8
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 81
47.6%
5 64
37.6%
4 13
 
7.6%
8 4
 
2.4%
3 4
 
2.4%
1 2
 
1.2%
6 1
 
0.6%
0 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
h 4
25.0%
e 3
18.8%
y 3
18.8%
a 2
12.5%
j 1
 
6.2%
i 1
 
6.2%
k 1
 
6.2%
s 1
 
6.2%
Space Separator
ValueCountFrequency (%)
291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3566
81.6%
Common 600
 
13.7%
Latin 203
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
254
 
7.1%
211
 
5.9%
187
 
5.2%
107
 
3.0%
93
 
2.6%
90
 
2.5%
73
 
2.0%
67
 
1.9%
66
 
1.9%
58
 
1.6%
Other values (327) 2360
66.2%
Latin
ValueCountFrequency (%)
G 54
26.6%
S 52
25.6%
C 30
14.8%
U 26
12.8%
h 4
 
2.0%
I 4
 
2.0%
E 3
 
1.5%
e 3
 
1.5%
y 3
 
1.5%
A 3
 
1.5%
Other values (14) 21
 
10.3%
Common
ValueCountFrequency (%)
291
48.5%
2 81
 
13.5%
) 70
 
11.7%
( 66
 
11.0%
5 64
 
10.7%
4 13
 
2.2%
8 4
 
0.7%
3 4
 
0.7%
1 2
 
0.3%
- 2
 
0.3%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3563
81.6%
ASCII 803
 
18.4%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
36.2%
2 81
 
10.1%
) 70
 
8.7%
( 66
 
8.2%
5 64
 
8.0%
G 54
 
6.7%
S 52
 
6.5%
C 30
 
3.7%
U 26
 
3.2%
4 13
 
1.6%
Other values (27) 56
 
7.0%
Hangul
ValueCountFrequency (%)
254
 
7.1%
211
 
5.9%
187
 
5.2%
107
 
3.0%
93
 
2.6%
90
 
2.5%
73
 
2.0%
67
 
1.9%
66
 
1.9%
58
 
1.6%
Other values (326) 2357
66.2%
None
ValueCountFrequency (%)
3
100.0%
Distinct470
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-04T07:56:40.823648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length22.824268
Min length14

Characters and Unicode

Total characters10910
Distinct characters269
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

Unique464 ?
Unique (%)97.1%

Sample

1st row익산시 동서로19길 67-1, 4층 404호 5호 (신동)
2nd row익산시 익산대로 229 (남중동)
3rd row익산시 인북로3길 28, 3층 (중앙동3가)
4th row익산시 서동로21길 13, 15동 204호 (마동, 신설지아파트)
5th row익산시 동서로 218, 5층 501호 (남중동)
ValueCountFrequency (%)
익산시 478
 
21.3%
1층 82
 
3.7%
무왕로 55
 
2.5%
영등동 47
 
2.1%
신동 40
 
1.8%
2층 38
 
1.7%
남중동 35
 
1.6%
인북로 30
 
1.3%
모현동1가 29
 
1.3%
어양동 24
 
1.1%
Other values (769) 1385
61.7%
2024-05-04T07:56:42.210191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1765
 
16.2%
1 668
 
6.1%
594
 
5.4%
560
 
5.1%
546
 
5.0%
487
 
4.5%
461
 
4.2%
( 422
 
3.9%
) 421
 
3.9%
2 327
 
3.0%
Other values (259) 4659
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5595
51.3%
Decimal Number 2258
20.7%
Space Separator 1765
 
16.2%
Open Punctuation 422
 
3.9%
Close Punctuation 421
 
3.9%
Other Punctuation 300
 
2.7%
Dash Punctuation 110
 
1.0%
Uppercase Letter 25
 
0.2%
Lowercase Letter 12
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
594
 
10.6%
560
 
10.0%
546
 
9.8%
487
 
8.7%
461
 
8.2%
231
 
4.1%
153
 
2.7%
120
 
2.1%
86
 
1.5%
84
 
1.5%
Other values (223) 2273
40.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
20.0%
A 4
16.0%
K 3
12.0%
G 3
12.0%
L 2
 
8.0%
C 2
 
8.0%
T 2
 
8.0%
Y 1
 
4.0%
R 1
 
4.0%
P 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 668
29.6%
2 327
14.5%
3 255
 
11.3%
0 198
 
8.8%
4 172
 
7.6%
5 167
 
7.4%
6 147
 
6.5%
7 113
 
5.0%
8 106
 
4.7%
9 105
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
16.7%
o 2
16.7%
u 2
16.7%
i 1
8.3%
v 1
8.3%
y 1
8.3%
n 1
8.3%
g 1
8.3%
l 1
8.3%
Space Separator
ValueCountFrequency (%)
1765
100.0%
Open Punctuation
ValueCountFrequency (%)
( 422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 421
100.0%
Other Punctuation
ValueCountFrequency (%)
, 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5595
51.3%
Common 5278
48.4%
Latin 37
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
594
 
10.6%
560
 
10.0%
546
 
9.8%
487
 
8.7%
461
 
8.2%
231
 
4.1%
153
 
2.7%
120
 
2.1%
86
 
1.5%
84
 
1.5%
Other values (223) 2273
40.6%
Latin
ValueCountFrequency (%)
S 5
13.5%
A 4
 
10.8%
K 3
 
8.1%
G 3
 
8.1%
e 2
 
5.4%
o 2
 
5.4%
L 2
 
5.4%
u 2
 
5.4%
C 2
 
5.4%
T 2
 
5.4%
Other values (10) 10
27.0%
Common
ValueCountFrequency (%)
1765
33.4%
1 668
 
12.7%
( 422
 
8.0%
) 421
 
8.0%
2 327
 
6.2%
, 300
 
5.7%
3 255
 
4.8%
0 198
 
3.8%
4 172
 
3.3%
5 167
 
3.2%
Other values (6) 583
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5595
51.3%
ASCII 5315
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1765
33.2%
1 668
 
12.6%
( 422
 
7.9%
) 421
 
7.9%
2 327
 
6.2%
, 300
 
5.6%
3 255
 
4.8%
0 198
 
3.7%
4 172
 
3.2%
5 167
 
3.1%
Other values (26) 620
 
11.7%
Hangul
ValueCountFrequency (%)
594
 
10.6%
560
 
10.0%
546
 
9.8%
487
 
8.7%
461
 
8.2%
231
 
4.1%
153
 
2.7%
120
 
2.1%
86
 
1.5%
84
 
1.5%
Other values (223) 2273
40.6%

Interactions

2024-05-04T07:56:36.147608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-05-04T07:56:36.613285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:56:36.976543image/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

순번영업소명소재지(도로명)
01202익산시 동서로19길 67-1, 4층 404호 5호 (신동)
12(유) 성진유통 위니아익산점익산시 익산대로 229 (남중동)
23(유)노블레스익산시 인북로3길 28, 3층 (중앙동3가)
34(유)다몸플러스익산시 서동로21길 13, 15동 204호 (마동, 신설지아파트)
45(유)스마트익산시 동서로 218, 5층 501호 (남중동)
56(유)에스씨 헬스케어익산시 약촌로 174, 206호 (영등동)
67(유)킴스라이프케어익산시 서동로 166, 상가A동 106호 (마동)
78(유)해성인 (IN)익산시 황등면 황등로 222-31
89(주)건강다모아익산시 평동로7길 57 (중앙동3가)
910(주)대성안전개발익산시 인북로 49, 3층 (인화동1가)
순번영업소명소재지(도로명)
468469황등농협 하나로마트익산시 황등면 황등로 124, 하나로마트
469470황토나라의료기익산시 인북로 234 (남중동)
470471휴먼라이프익산시 목천로2길 20, 1층 (평화동)
471472휴먼솔루텍익산시 춘포면 천서길 64, 1층 2호
472473희망의료기익산시 무왕로 922 (신동)
473474힐스템 건강 동산지점익산시 목천로 361 (동산동, 동산동 세경4차 아파트)
474475힐스템 건강 송학점익산시 군익로11길 31, 2층 (모현동1가)
475476힐스템 영등센터익산시 고봉로18길 77, 1층 (영등동)
476477힐스템 함열센터익산시 함열읍 함열로 49-1
477478힐스템건강찜질 황등점익산시 황등면 황등로 93