Overview

Dataset statistics

Number of variables3
Number of observations461
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory25.3 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시남구_의료기기판매업소_20220621
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051589

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:29:10.988709
Analysis finished2023-12-10 17:29:12.354428
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct461
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231
Minimum1
Maximum461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T02:29:12.557058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1116
median231
Q3346
95-th percentile438
Maximum461
Range460
Interquartile range (IQR)230

Descriptive statistics

Standard deviation133.2235
Coefficient of variation (CV)0.57672509
Kurtosis-1.2
Mean231
Median Absolute Deviation (MAD)115
Skewness0
Sum106491
Variance17748.5
MonotonicityStrictly increasing
2023-12-11T02:29:12.964653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
318 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
Other values (451) 451
97.8%
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 (%)
461 1
0.2%
460 1
0.2%
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%
452 1
0.2%
Distinct456
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T02:29:13.582936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.9631236
Min length2

Characters and Unicode

Total characters3671
Distinct characters383
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)98.0%

Sample

1st row주노뷰티
2nd row세븐일레븐 부산UN평화점
3rd row세븐일레븐 대연카페점
4th row지앤지콘텍트렌즈
5th row코리아세븐 부산대연유엔점
ValueCountFrequency (%)
세븐일레븐 29
 
4.5%
주식회사 23
 
3.5%
gs25 19
 
2.9%
이마트24 7
 
1.1%
씨유 7
 
1.1%
대연점 5
 
0.8%
메디칼 5
 
0.8%
주)아성다이소 4
 
0.6%
cu 4
 
0.6%
medical 4
 
0.6%
Other values (513) 543
83.5%
2023-12-11T02:29:14.514341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
5.1%
117
 
3.2%
113
 
3.1%
101
 
2.8%
100
 
2.7%
92
 
2.5%
92
 
2.5%
) 89
 
2.4%
( 87
 
2.4%
71
 
1.9%
Other values (373) 2620
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2906
79.2%
Uppercase Letter 230
 
6.3%
Space Separator 189
 
5.1%
Close Punctuation 89
 
2.4%
Open Punctuation 87
 
2.4%
Lowercase Letter 85
 
2.3%
Decimal Number 78
 
2.1%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
 
4.0%
113
 
3.9%
101
 
3.5%
100
 
3.4%
92
 
3.2%
92
 
3.2%
71
 
2.4%
65
 
2.2%
62
 
2.1%
53
 
1.8%
Other values (321) 2040
70.2%
Uppercase Letter
ValueCountFrequency (%)
S 40
17.4%
G 25
10.9%
M 24
10.4%
C 21
 
9.1%
E 13
 
5.7%
U 12
 
5.2%
T 10
 
4.3%
I 10
 
4.3%
A 9
 
3.9%
O 9
 
3.9%
Other values (12) 57
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 13
15.3%
s 9
10.6%
c 9
10.6%
i 6
 
7.1%
p 5
 
5.9%
a 5
 
5.9%
h 5
 
5.9%
d 5
 
5.9%
g 4
 
4.7%
u 4
 
4.7%
Other values (9) 20
23.5%
Decimal Number
ValueCountFrequency (%)
2 39
50.0%
5 29
37.2%
4 8
 
10.3%
3 1
 
1.3%
1 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
& 2
28.6%
, 2
28.6%
Space Separator
ValueCountFrequency (%)
189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2906
79.2%
Common 450
 
12.3%
Latin 315
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
 
4.0%
113
 
3.9%
101
 
3.5%
100
 
3.4%
92
 
3.2%
92
 
3.2%
71
 
2.4%
65
 
2.2%
62
 
2.1%
53
 
1.8%
Other values (321) 2040
70.2%
Latin
ValueCountFrequency (%)
S 40
 
12.7%
G 25
 
7.9%
M 24
 
7.6%
C 21
 
6.7%
e 13
 
4.1%
E 13
 
4.1%
U 12
 
3.8%
T 10
 
3.2%
I 10
 
3.2%
s 9
 
2.9%
Other values (31) 138
43.8%
Common
ValueCountFrequency (%)
189
42.0%
) 89
19.8%
( 87
19.3%
2 39
 
8.7%
5 29
 
6.4%
4 8
 
1.8%
. 3
 
0.7%
& 2
 
0.4%
, 2
 
0.4%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2906
79.2%
ASCII 765
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
24.7%
) 89
11.6%
( 87
11.4%
S 40
 
5.2%
2 39
 
5.1%
5 29
 
3.8%
G 25
 
3.3%
M 24
 
3.1%
C 21
 
2.7%
e 13
 
1.7%
Other values (42) 209
27.3%
Hangul
ValueCountFrequency (%)
117
 
4.0%
113
 
3.9%
101
 
3.5%
100
 
3.4%
92
 
3.2%
92
 
3.2%
71
 
2.4%
65
 
2.2%
62
 
2.1%
53
 
1.8%
Other values (321) 2040
70.2%
Distinct436
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T02:29:15.232280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length32.603037
Min length21

Characters and Unicode

Total characters15030
Distinct characters290
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

Unique414 ?
Unique (%)89.8%

Sample

1st row부산광역시 남구 용소로14번길 29-1, 에이스프라자 4층 401호 (대연동)
2nd row부산광역시 남구 용소로64번길 85, 1층 (대연동, 민상빌)
3rd row부산광역시 남구 진남로 36, 1층 (대연동)
4th row부산광역시 남구 고동골로78번길 55-10, C동 1층 103호 (문현동, 남도아파트)
5th row부산광역시 남구 유엔로183번길 64, 태양유선 1층 (대연동)
ValueCountFrequency (%)
부산광역시 461
 
15.3%
남구 460
 
15.3%
대연동 225
 
7.5%
문현동 114
 
3.8%
수영로 96
 
3.2%
1층 90
 
3.0%
용호동 67
 
2.2%
2층 42
 
1.4%
312 24
 
0.8%
용당동 20
 
0.7%
Other values (678) 1405
46.8%
2023-12-11T02:29:16.438607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2544
 
16.9%
1 675
 
4.5%
580
 
3.9%
494
 
3.3%
484
 
3.2%
482
 
3.2%
482
 
3.2%
469
 
3.1%
( 466
 
3.1%
) 466
 
3.1%
Other values (280) 7888
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8468
56.3%
Space Separator 2544
 
16.9%
Decimal Number 2511
 
16.7%
Open Punctuation 466
 
3.1%
Close Punctuation 466
 
3.1%
Other Punctuation 450
 
3.0%
Dash Punctuation 74
 
0.5%
Uppercase Letter 39
 
0.3%
Lowercase Letter 11
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
580
 
6.8%
494
 
5.8%
484
 
5.7%
482
 
5.7%
482
 
5.7%
469
 
5.5%
465
 
5.5%
463
 
5.5%
461
 
5.4%
330
 
3.9%
Other values (243) 3758
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
20.5%
C 6
15.4%
S 5
12.8%
G 4
10.3%
A 4
10.3%
U 3
 
7.7%
M 2
 
5.1%
W 2
 
5.1%
K 2
 
5.1%
T 1
 
2.6%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 675
26.9%
2 429
17.1%
3 273
10.9%
0 234
 
9.3%
4 196
 
7.8%
5 184
 
7.3%
9 147
 
5.9%
6 143
 
5.7%
7 116
 
4.6%
8 114
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
b 2
18.2%
c 1
9.1%
o 1
9.1%
r 1
9.1%
k 1
9.1%
a 1
9.1%
g 1
9.1%
s 1
9.1%
Space Separator
ValueCountFrequency (%)
2544
100.0%
Open Punctuation
ValueCountFrequency (%)
( 466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%
Other Punctuation
ValueCountFrequency (%)
, 450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8468
56.3%
Common 6512
43.3%
Latin 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
580
 
6.8%
494
 
5.8%
484
 
5.7%
482
 
5.7%
482
 
5.7%
469
 
5.5%
465
 
5.5%
463
 
5.5%
461
 
5.4%
330
 
3.9%
Other values (243) 3758
44.4%
Latin
ValueCountFrequency (%)
B 8
16.0%
C 6
12.0%
S 5
10.0%
G 4
 
8.0%
A 4
 
8.0%
U 3
 
6.0%
e 2
 
4.0%
M 2
 
4.0%
b 2
 
4.0%
W 2
 
4.0%
Other values (11) 12
24.0%
Common
ValueCountFrequency (%)
2544
39.1%
1 675
 
10.4%
( 466
 
7.2%
) 466
 
7.2%
, 450
 
6.9%
2 429
 
6.6%
3 273
 
4.2%
0 234
 
3.6%
4 196
 
3.0%
5 184
 
2.8%
Other values (6) 595
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8468
56.3%
ASCII 6562
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2544
38.8%
1 675
 
10.3%
( 466
 
7.1%
) 466
 
7.1%
, 450
 
6.9%
2 429
 
6.5%
3 273
 
4.2%
0 234
 
3.6%
4 196
 
3.0%
5 184
 
2.8%
Other values (27) 645
 
9.8%
Hangul
ValueCountFrequency (%)
580
 
6.8%
494
 
5.8%
484
 
5.7%
482
 
5.7%
482
 
5.7%
469
 
5.5%
465
 
5.5%
463
 
5.5%
461
 
5.4%
330
 
3.9%
Other values (243) 3758
44.4%

Interactions

2023-12-11T02:29:11.730862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T02:29:12.064436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:29:12.280976image/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

순번영업소명영업소소재지(도로명)
01주노뷰티부산광역시 남구 용소로14번길 29-1, 에이스프라자 4층 401호 (대연동)
12세븐일레븐 부산UN평화점부산광역시 남구 용소로64번길 85, 1층 (대연동, 민상빌)
23세븐일레븐 대연카페점부산광역시 남구 진남로 36, 1층 (대연동)
34지앤지콘텍트렌즈부산광역시 남구 고동골로78번길 55-10, C동 1층 103호 (문현동, 남도아파트)
45코리아세븐 부산대연유엔점부산광역시 남구 유엔로183번길 64, 태양유선 1층 (대연동)
56메디나인부산광역시 남구 진남로 74, 1층 (대연동)
67주식회사 메디펀부산광역시 남구 전포대로 133, WeWork 13층 124호 (문현동)
78우주부라이프부산광역시 남구 용호로216번가길 46, 104동 1303호 (용호동, 쌍용예가)
89샐피부산광역시 남구 용소로19번길 19, 동우빌딩 1층 (대연동)
910쓰리에이치 대연센터부산광역시 남구 수영로 223, 삼창빌딩 2층 (대연동)
순번영업소명영업소소재지(도로명)
451452에스케이덴탈부산광역시 남구 문현로 56, 2층 (문현동, 재건넘치는교회)
452453해피드림부산광역시 남구 수영로219번길 15 (대연동)
453454바다메디칼부산광역시 남구 수영로366번길 34 (대연동)
454455선우시스템부산광역시 남구 자성로 152 (문현동)
455456비겐의료기부산광역시 남구 수영로39번길 23 (문현동)
456457센투리메디칼부산광역시 남구 수영로 12, 208호 (문현동, 세종그랑시아아파트)
457458모던의료기부산광역시 남구 신선로329번길 20, 1, 2층 (용당동, 영재어린이집)
458459대원의료기부산광역시 남구 진남로 176-1 (문현동)
459460(주) 이선메드부산광역시 남구 수영로 286, 지하1층 (대연동)
460461영진치과재료상사부산광역시 남구 남동천로 18 (문현동)