Overview

Dataset statistics

Number of variables3
Number of observations513
Missing cells296
Missing cells (%)19.2%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory12.1 KiB
Average record size in memory24.2 B

Variable types

Text3

Dataset

Description부산광역시 사상구 관내 의료기기 판매업소 현황에 대한 데이터로 영업소명, 소재지, 전화번호 정보를 포함하고 있습니다.
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/3078763/fileData.do

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
영업소전화번호 has 296 (57.7%) missing valuesMissing

Reproduction

Analysis started2024-03-14 20:35:02.886775
Analysis finished2024-03-14 20:35:03.977561
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업소명
Text

Distinct507
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-15T05:35:05.041545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.8538012
Min length2

Characters and Unicode

Total characters4029
Distinct characters387
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

Unique501 ?
Unique (%)97.7%

Sample

1st row주식회사 현헬스케어
2nd row신기의료기 주례점
3rd rowTS IND(티에스 아이엔디)
4th row헐크낚시
5th row(주)비지에프리테일 부산사상터미널점
ValueCountFrequency (%)
씨유 24
 
3.5%
세븐일레븐 22
 
3.2%
주식회사 20
 
2.9%
gs25 19
 
2.8%
cu 5
 
0.7%
지에스25 5
 
0.7%
이마트24 5
 
0.7%
주)아성다이소 4
 
0.6%
아가방 3
 
0.4%
korea 3
 
0.4%
Other values (553) 579
84.0%
2024-03-15T05:35:06.738389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 181
 
4.5%
176
 
4.4%
주 106
 
2.6%
스 103
 
2.6%
이 95
 
2.4%
사 92
 
2.3%
디 85
 
2.1%
메 82
 
2.0%
) 76
 
1.9%
( 75
 
1.9%
Other values (377) 2958
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3316
82.3%
Uppercase Letter 214
 
5.3%
Space Separator 176
 
4.4%
Decimal Number 120
 
3.0%
Close Punctuation 76
 
1.9%
Open Punctuation 75
 
1.9%
Lowercase Letter 30
 
0.7%
Other Punctuation 11
 
0.3%
Other Symbol 9
 
0.2%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 181
 
5.5%
주 106
 
3.2%
스 103
 
3.1%
이 95
 
2.9%
사 92
 
2.8%
디 85
 
2.6%
메 82
 
2.5%
부 63
 
1.9%
산 62
 
1.9%
상 61
 
1.8%
Other values (326) 2386
72.0%
Uppercase Letter
ValueCountFrequency (%)
S 51
23.8%
G 46
21.5%
C 24
11.2%
U 21
9.8%
A 8
 
3.7%
B 7
 
3.3%
E 6
 
2.8%
D 6
 
2.8%
K 5
 
2.3%
L 5
 
2.3%
Other values (12) 35
16.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.0%
a 5
16.7%
r 3
10.0%
l 3
10.0%
c 2
 
6.7%
y 2
 
6.7%
d 2
 
6.7%
o 1
 
3.3%
i 1
 
3.3%
m 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
2 57
47.5%
5 47
39.2%
4 6
 
5.0%
1 4
 
3.3%
3 4
 
3.3%
0 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
& 2
 
18.2%
· 2
 
18.2%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3325
82.5%
Common 460
 
11.4%
Latin 244
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 181
 
5.4%
주 106
 
3.2%
스 103
 
3.1%
이 95
 
2.9%
사 92
 
2.8%
디 85
 
2.6%
메 82
 
2.5%
부 63
 
1.9%
산 62
 
1.9%
상 61
 
1.8%
Other values (327) 2395
72.0%
Latin
ValueCountFrequency (%)
S 51
20.9%
G 46
18.9%
C 24
 
9.8%
U 21
 
8.6%
A 8
 
3.3%
B 7
 
2.9%
e 6
 
2.5%
E 6
 
2.5%
D 6
 
2.5%
a 5
 
2.0%
Other values (26) 64
26.2%
Common
ValueCountFrequency (%)
176
38.3%
) 76
16.5%
( 75
16.3%
2 57
 
12.4%
5 47
 
10.2%
. 6
 
1.3%
4 6
 
1.3%
1 4
 
0.9%
3 4
 
0.9%
0 2
 
0.4%
Other values (4) 7
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3316
82.3%
ASCII 702
 
17.4%
None 11
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 181
 
5.5%
주 106
 
3.2%
스 103
 
3.1%
이 95
 
2.9%
사 92
 
2.8%
디 85
 
2.6%
메 82
 
2.5%
부 63
 
1.9%
산 62
 
1.9%
상 61
 
1.8%
Other values (326) 2386
72.0%
ASCII
ValueCountFrequency (%)
176
25.1%
) 76
10.8%
( 75
10.7%
2 57
 
8.1%
S 51
 
7.3%
5 47
 
6.7%
G 46
 
6.6%
C 24
 
3.4%
U 21
 
3.0%
A 8
 
1.1%
Other values (39) 121
17.2%
None
ValueCountFrequency (%)
㈜ 9
81.8%
· 2
 
18.2%

영업소소재지(도로명)
Text

Distinct495
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-15T05:35:07.980391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length32.762183
Min length21

Characters and Unicode

Total characters16807
Distinct characters238
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

Unique479 ?
Unique (%)93.4%

Sample

1st row부산광역시 사상구 가야대로 260, 5층 (주례동)
2nd row부산광역시 사상구 백양대로 438, 대성아파트 상가1동 104-1호 (주례동)
3rd row부산광역시 사상구 괘감로 37, 산업용품유통상가 7동 202호 (괘법동)
4th row부산광역시 사상구 새벽시장로63번길 33, 2층 201호 (감전동)
5th row부산광역시 사상구 사상로 201, 서부시외버스터미널 본관동 1층 (괘법동)
ValueCountFrequency (%)
부산광역시 513
 
15.4%
사상구 512
 
15.4%
1층 137
 
4.1%
괘법동 123
 
3.7%
감전동 112
 
3.4%
주례동 107
 
3.2%
모라동 58
 
1.7%
사상로 42
 
1.3%
새벽로 40
 
1.2%
2층 37
 
1.1%
Other values (674) 1640
49.4%
2024-03-15T05:35:09.652644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2809
 
16.7%
동 716
 
4.3%
상 690
 
4.1%
1 660
 
3.9%
사 609
 
3.6%
산 599
 
3.6%
부 568
 
3.4%
광 564
 
3.4%
시 548
 
3.3%
구 519
 
3.1%
Other values (228) 8525
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9713
57.8%
Space Separator 2809
 
16.7%
Decimal Number 2685
 
16.0%
Close Punctuation 513
 
3.1%
Open Punctuation 513
 
3.1%
Other Punctuation 481
 
2.9%
Dash Punctuation 48
 
0.3%
Uppercase Letter 35
 
0.2%
Lowercase Letter 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 716
 
7.4%
상 690
 
7.1%
사 609
 
6.3%
산 599
 
6.2%
부 568
 
5.8%
광 564
 
5.8%
시 548
 
5.6%
구 519
 
5.3%
역 516
 
5.3%
로 514
 
5.3%
Other values (196) 3870
39.8%
Decimal Number
ValueCountFrequency (%)
1 660
24.6%
2 400
14.9%
3 375
14.0%
0 274
10.2%
4 200
 
7.4%
7 189
 
7.0%
6 159
 
5.9%
5 158
 
5.9%
9 135
 
5.0%
8 135
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
31.4%
A 7
20.0%
G 5
14.3%
E 3
 
8.6%
D 3
 
8.6%
S 2
 
5.7%
L 2
 
5.7%
C 2
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
k 1
14.3%
s 1
14.3%
r 1
14.3%
t 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 468
97.3%
· 12
 
2.5%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2809
100.0%
Close Punctuation
ValueCountFrequency (%)
) 513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9713
57.8%
Common 7052
42.0%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 716
 
7.4%
상 690
 
7.1%
사 609
 
6.3%
산 599
 
6.2%
부 568
 
5.8%
광 564
 
5.8%
시 548
 
5.6%
구 519
 
5.3%
역 516
 
5.3%
로 514
 
5.3%
Other values (196) 3870
39.8%
Common
ValueCountFrequency (%)
2809
39.8%
1 660
 
9.4%
) 513
 
7.3%
( 513
 
7.3%
, 468
 
6.6%
2 400
 
5.7%
3 375
 
5.3%
0 274
 
3.9%
4 200
 
2.8%
7 189
 
2.7%
Other values (8) 651
 
9.2%
Latin
ValueCountFrequency (%)
B 11
26.2%
A 7
16.7%
G 5
11.9%
E 3
 
7.1%
D 3
 
7.1%
S 2
 
4.8%
L 2
 
4.8%
C 2
 
4.8%
e 2
 
4.8%
k 1
 
2.4%
Other values (4) 4
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9713
57.8%
ASCII 7082
42.1%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2809
39.7%
1 660
 
9.3%
) 513
 
7.2%
( 513
 
7.2%
, 468
 
6.6%
2 400
 
5.6%
3 375
 
5.3%
0 274
 
3.9%
4 200
 
2.8%
7 189
 
2.7%
Other values (21) 681
 
9.6%
Hangul
ValueCountFrequency (%)
동 716
 
7.4%
상 690
 
7.1%
사 609
 
6.3%
산 599
 
6.2%
부 568
 
5.8%
광 564
 
5.8%
시 548
 
5.6%
구 519
 
5.3%
역 516
 
5.3%
로 514
 
5.3%
Other values (196) 3870
39.8%
None
ValueCountFrequency (%)
· 12
100.0%

영업소전화번호
Text

MISSING 

Distinct213
Distinct (%)98.2%
Missing296
Missing (%)57.7%
Memory size4.1 KiB
2024-03-15T05:35:10.601487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.023041
Min length9

Characters and Unicode

Total characters2609
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)96.3%

Sample

1st row051-714-2720
2nd row051-319-0144
3rd row051-312-1203
4th row051-323-0100
5th row051-315-8201
ValueCountFrequency (%)
051-332-5243 2
 
0.9%
051-866-6257 2
 
0.9%
051-314-0514 2
 
0.9%
051-892-2004 2
 
0.9%
051-311-1973 1
 
0.5%
051-324-5220 1
 
0.5%
051-315-0201 1
 
0.5%
051-973-0365 1
 
0.5%
051-898-9219 1
 
0.5%
070-7769-5754 1
 
0.5%
Other values (203) 203
93.5%
2024-03-15T05:35:11.783409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 432
16.6%
1 400
15.3%
0 380
14.6%
5 331
12.7%
3 285
10.9%
2 224
8.6%
7 125
 
4.8%
9 123
 
4.7%
6 113
 
4.3%
8 105
 
4.0%
Other values (2) 91
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2176
83.4%
Dash Punctuation 432
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 400
18.4%
0 380
17.5%
5 331
15.2%
3 285
13.1%
2 224
10.3%
7 125
 
5.7%
9 123
 
5.7%
6 113
 
5.2%
8 105
 
4.8%
4 90
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 432
16.6%
1 400
15.3%
0 380
14.6%
5 331
12.7%
3 285
10.9%
2 224
8.6%
7 125
 
4.8%
9 123
 
4.7%
6 113
 
4.3%
8 105
 
4.0%
Other values (2) 91
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 432
16.6%
1 400
15.3%
0 380
14.6%
5 331
12.7%
3 285
10.9%
2 224
8.6%
7 125
 
4.8%
9 123
 
4.7%
6 113
 
4.3%
8 105
 
4.0%
Other values (2) 91
 
3.5%

Missing values

2024-03-15T05:35:03.532694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:35:03.872532image/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

영업소명영업소소재지(도로명)영업소전화번호
0주식회사 현헬스케어부산광역시 사상구 가야대로 260, 5층 (주례동)<NA>
1신기의료기 주례점부산광역시 사상구 백양대로 438, 대성아파트 상가1동 104-1호 (주례동)051-714-2720
2TS IND(티에스 아이엔디)부산광역시 사상구 괘감로 37, 산업용품유통상가 7동 202호 (괘법동)051-319-0144
3헐크낚시부산광역시 사상구 새벽시장로63번길 33, 2층 201호 (감전동)<NA>
4(주)비지에프리테일 부산사상터미널점부산광역시 사상구 사상로 201, 서부시외버스터미널 본관동 1층 (괘법동)<NA>
5신기의료기 사상점부산광역시 사상구 운산로 74, 1층 (괘법동)<NA>
6대세홈케어부산광역시 사상구 괘감로 37, 산업용품유통상가 1동 219호 (괘법동)<NA>
7헤나킹 큐사랑부산광역시 사상구 백양대로 925, 2층 (모라동)051-312-1203
8조이웰니스부산광역시 사상구 삼덕로46번길 116, 2층 (삼락동)<NA>
9지음메디컬부산광역시 사상구 백양대로934번길 80, 116동 205호 (모라동)<NA>
영업소명영업소소재지(도로명)영업소전화번호
503해피랜드부산광역시 사상구 광장로 7 (괘법동, 르네시떼 지하1층)051-319-8000
504굿셀의료기부산광역시 사상구 사상로 465-1 (모라동)051-304-3439
505영림의료기부산광역시 사상구 동주로 24-3 (주례동, 2층,3층)051-314-0514
506원메딕스부산광역시 사상구 사상로 290 (덕포동)051-305-7111
507박포전자부산광역시 사상구 광장로 7 (괘법동, 르네시떼 5층 5033호)051-319-5033
508미소의료기부산광역시 사상구 사상로148번길 25 (괘법동)<NA>
509홈플러스(주)서부산점부산광역시 사상구 광장로 7 (괘법동, 르네시떼 지하1층)051-319-9135
510선영메디칼모라점부산광역시 사상구 사상로 476 (모라동, 명진빌딩 4층)051-301-8275
511명진의료기상사부산광역시 사상구 백양대로 430 (주례동)051-324-8996
512한국보장구상사부산광역시 사상구 사상로 78 (감전동)051-328-4534

Duplicate rows

Most frequently occurring

영업소명영업소소재지(도로명)영업소전화번호# duplicates
0휴바디앤스킨부산광역시 사상구 사상로 247-1 (괘법동)<NA>2