Overview

Dataset statistics

Number of variables4
Number of observations723
Missing cells539
Missing cells (%)18.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory32.2 B

Variable types

Text3
Categorical1

Dataset

Description서울특별시 관악구 의료기기, 의료기기판매업소, 의료기구 등 의료기기판매업 업소 현황정보(업소명, 소재지, 전화번호 등)
URLhttps://www.data.go.kr/data/15048013/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관전화번호 has 539 (74.6%) missing valuesMissing
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:57:48.078350
Analysis finished2023-12-12 13:57:48.552765
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct723
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T22:57:48.756157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length9.0650069
Min length2

Characters and Unicode

Total characters6554
Distinct characters482
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

Unique723 ?
Unique (%)100.0%

Sample

1st row씨유 관악써니점
2nd row씨유 관악쑥고개점
3rd row라이크태그
4th row파라라
5th row(주)지에스25뉴신림사랑
ValueCountFrequency (%)
gs25 65
 
5.8%
주)코리아세븐 38
 
3.4%
씨유 34
 
3.0%
세븐일레븐 31
 
2.8%
주식회사 30
 
2.7%
지에스25 23
 
2.1%
cu 15
 
1.3%
씨제이올리브영(주 12
 
1.1%
관악점 9
 
0.8%
주)아성다이소 8
 
0.7%
Other values (766) 853
76.3%
2023-12-12T22:57:49.137495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
6.0%
점 323
 
4.9%
( 181
 
2.8%
) 181
 
2.8%
주 178
 
2.7%
스 168
 
2.6%
이 156
 
2.4%
관 155
 
2.4%
악 153
 
2.3%
2 141
 
2.2%
Other values (472) 4523
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5086
77.6%
Space Separator 395
 
6.0%
Uppercase Letter 331
 
5.1%
Decimal Number 295
 
4.5%
Open Punctuation 181
 
2.8%
Close Punctuation 181
 
2.8%
Lowercase Letter 70
 
1.1%
Other Symbol 12
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 323
 
6.4%
주 178
 
3.5%
스 168
 
3.3%
이 156
 
3.1%
관 155
 
3.0%
악 153
 
3.0%
븐 115
 
2.3%
리 110
 
2.2%
림 108
 
2.1%
에 105
 
2.1%
Other values (420) 3515
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 104
31.4%
G 100
30.2%
C 32
 
9.7%
U 24
 
7.3%
H 8
 
2.4%
O 7
 
2.1%
I 6
 
1.8%
T 6
 
1.8%
A 6
 
1.8%
E 5
 
1.5%
Other values (11) 33
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
12.9%
a 8
11.4%
l 7
10.0%
n 7
10.0%
o 5
 
7.1%
i 5
 
7.1%
c 4
 
5.7%
u 4
 
5.7%
k 3
 
4.3%
t 3
 
4.3%
Other values (8) 15
21.4%
Decimal Number
ValueCountFrequency (%)
2 141
47.8%
5 131
44.4%
4 12
 
4.1%
3 4
 
1.4%
1 3
 
1.0%
8 3
 
1.0%
6 1
 
0.3%
Space Separator
ValueCountFrequency (%)
395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5098
77.8%
Common 1055
 
16.1%
Latin 401
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 323
 
6.3%
주 178
 
3.5%
스 168
 
3.3%
이 156
 
3.1%
관 155
 
3.0%
악 153
 
3.0%
븐 115
 
2.3%
리 110
 
2.2%
림 108
 
2.1%
에 105
 
2.1%
Other values (421) 3527
69.2%
Latin
ValueCountFrequency (%)
S 104
25.9%
G 100
24.9%
C 32
 
8.0%
U 24
 
6.0%
e 9
 
2.2%
H 8
 
2.0%
a 8
 
2.0%
O 7
 
1.7%
l 7
 
1.7%
n 7
 
1.7%
Other values (29) 95
23.7%
Common
ValueCountFrequency (%)
395
37.4%
( 181
17.2%
) 181
17.2%
2 141
 
13.4%
5 131
 
12.4%
4 12
 
1.1%
3 4
 
0.4%
1 3
 
0.3%
8 3
 
0.3%
- 2
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5086
77.6%
ASCII 1456
 
22.2%
None 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
27.1%
( 181
12.4%
) 181
12.4%
2 141
 
9.7%
5 131
 
9.0%
S 104
 
7.1%
G 100
 
6.9%
C 32
 
2.2%
U 24
 
1.6%
4 12
 
0.8%
Other values (41) 155
 
10.6%
Hangul
ValueCountFrequency (%)
점 323
 
6.4%
주 178
 
3.5%
스 168
 
3.3%
이 156
 
3.1%
관 155
 
3.0%
악 153
 
3.0%
븐 115
 
2.3%
리 110
 
2.2%
림 108
 
2.1%
에 105
 
2.1%
Other values (420) 3515
69.1%
None
ValueCountFrequency (%)
㈜ 12
100.0%

의료기관주소(도로명)
Text

Distinct717
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T22:57:49.449705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length32.661134
Min length21

Characters and Unicode

Total characters23614
Distinct characters276
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

Unique711 ?
Unique (%)98.3%

Sample

1st row서울특별시 관악구 쑥고개로 55+ 1층 (봉천동)
2nd row서울특별시 관악구 쑥고개로 74+ 1층 (봉천동)
3rd row서울특별시 관악구 장군봉5길 27+ 203호 (봉천동+ 봉천 두솔 아파트)
4th row서울특별시 관악구 남부순환로234길 62+ 501호 (봉천동)
5th row서울특별시 관악구 신림동1길 21+ 1층 (신림동)
ValueCountFrequency (%)
서울특별시 723
 
15.5%
관악구 723
 
15.5%
신림동 360
 
7.7%
봉천동 309
 
6.6%
1층 265
 
5.7%
남부순환로 112
 
2.4%
2층 43
 
0.9%
신림로 42
 
0.9%
지하1층 39
 
0.8%
관악로 38
 
0.8%
Other values (996) 2011
43.1%
2023-12-12T22:57:49.846612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3944
 
16.7%
1 1179
 
5.0%
+ 828
 
3.5%
관 826
 
3.5%
악 810
 
3.4%
동 804
 
3.4%
서 747
 
3.2%
울 733
 
3.1%
시 733
 
3.1%
구 727
 
3.1%
Other values (266) 12283
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13338
56.5%
Space Separator 3944
 
16.7%
Decimal Number 3892
 
16.5%
Math Symbol 832
 
3.5%
Open Punctuation 724
 
3.1%
Close Punctuation 724
 
3.1%
Dash Punctuation 96
 
0.4%
Uppercase Letter 60
 
0.3%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 826
 
6.2%
악 810
 
6.1%
동 804
 
6.0%
서 747
 
5.6%
울 733
 
5.5%
시 733
 
5.5%
구 727
 
5.5%
별 724
 
5.4%
특 723
 
5.4%
로 605
 
4.5%
Other values (235) 5906
44.3%
Uppercase Letter
ValueCountFrequency (%)
B 32
53.3%
A 7
 
11.7%
C 6
 
10.0%
M 2
 
3.3%
S 2
 
3.3%
E 2
 
3.3%
T 2
 
3.3%
G 2
 
3.3%
L 1
 
1.7%
I 1
 
1.7%
Other values (3) 3
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 1179
30.3%
2 548
14.1%
0 435
 
11.2%
3 384
 
9.9%
4 294
 
7.6%
5 250
 
6.4%
6 247
 
6.3%
7 196
 
5.0%
9 183
 
4.7%
8 176
 
4.5%
Math Symbol
ValueCountFrequency (%)
+ 828
99.5%
~ 4
 
0.5%
Space Separator
ValueCountFrequency (%)
3944
100.0%
Open Punctuation
ValueCountFrequency (%)
( 724
100.0%
Close Punctuation
ValueCountFrequency (%)
) 724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13338
56.5%
Common 10214
43.3%
Latin 62
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 826
 
6.2%
악 810
 
6.1%
동 804
 
6.0%
서 747
 
5.6%
울 733
 
5.5%
시 733
 
5.5%
구 727
 
5.5%
별 724
 
5.4%
특 723
 
5.4%
로 605
 
4.5%
Other values (235) 5906
44.3%
Common
ValueCountFrequency (%)
3944
38.6%
1 1179
 
11.5%
+ 828
 
8.1%
( 724
 
7.1%
) 724
 
7.1%
2 548
 
5.4%
0 435
 
4.3%
3 384
 
3.8%
4 294
 
2.9%
5 250
 
2.4%
Other values (7) 904
 
8.9%
Latin
ValueCountFrequency (%)
B 32
51.6%
A 7
 
11.3%
C 6
 
9.7%
M 2
 
3.2%
e 2
 
3.2%
S 2
 
3.2%
E 2
 
3.2%
T 2
 
3.2%
G 2
 
3.2%
L 1
 
1.6%
Other values (4) 4
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13338
56.5%
ASCII 10276
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3944
38.4%
1 1179
 
11.5%
+ 828
 
8.1%
( 724
 
7.0%
) 724
 
7.0%
2 548
 
5.3%
0 435
 
4.2%
3 384
 
3.7%
4 294
 
2.9%
5 250
 
2.4%
Other values (21) 966
 
9.4%
Hangul
ValueCountFrequency (%)
관 826
 
6.2%
악 810
 
6.1%
동 804
 
6.0%
서 747
 
5.6%
울 733
 
5.5%
시 733
 
5.5%
구 727
 
5.5%
별 724
 
5.4%
특 723
 
5.4%
로 605
 
4.5%
Other values (235) 5906
44.3%

의료기관전화번호
Text

MISSING 

Distinct168
Distinct (%)91.3%
Missing539
Missing (%)74.6%
Memory size5.8 KiB
2023-12-12T22:57:50.055737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.304348
Min length9

Characters and Unicode

Total characters2080
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)85.3%

Sample

1st row02-871-3338
2nd row02-870-3246
3rd row02-2625-1823
4th row070-4640-5370
5th row02-868-2377
ValueCountFrequency (%)
02-877-8643 4
 
2.2%
02-2164-0852 3
 
1.6%
02-882-1330 3
 
1.6%
02-3285-9396 3
 
1.6%
02-2179-3200 2
 
1.1%
02-859-2209 2
 
1.1%
02-2109-3543 2
 
1.1%
02-884-2209 2
 
1.1%
02-882-6016 2
 
1.1%
02-889-8002 2
 
1.1%
Other values (158) 159
86.4%
2023-12-12T22:57:50.405041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 365
17.5%
0 304
14.6%
8 304
14.6%
2 298
14.3%
7 151
7.3%
3 118
 
5.7%
5 116
 
5.6%
6 112
 
5.4%
1 108
 
5.2%
9 103
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1715
82.5%
Dash Punctuation 365
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 304
17.7%
8 304
17.7%
2 298
17.4%
7 151
8.8%
3 118
 
6.9%
5 116
 
6.8%
6 112
 
6.5%
1 108
 
6.3%
9 103
 
6.0%
4 101
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 365
17.5%
0 304
14.6%
8 304
14.6%
2 298
14.3%
7 151
7.3%
3 118
 
5.7%
5 116
 
5.6%
6 112
 
5.4%
1 108
 
5.2%
9 103
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 365
17.5%
0 304
14.6%
8 304
14.6%
2 298
14.3%
7 151
7.3%
3 118
 
5.7%
5 116
 
5.6%
6 112
 
5.4%
1 108
 
5.2%
9 103
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-07-31
723 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 723
100.0%

Length

2023-12-12T22:57:50.529826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:57:50.622714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 723
100.0%

Missing values

2023-12-12T22:57:48.436844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:57:48.512272image/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

의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
0씨유 관악써니점서울특별시 관악구 쑥고개로 55+ 1층 (봉천동)<NA>2023-07-31
1씨유 관악쑥고개점서울특별시 관악구 쑥고개로 74+ 1층 (봉천동)<NA>2023-07-31
2라이크태그서울특별시 관악구 장군봉5길 27+ 203호 (봉천동+ 봉천 두솔 아파트)<NA>2023-07-31
3파라라서울특별시 관악구 남부순환로234길 62+ 501호 (봉천동)<NA>2023-07-31
4(주)지에스25뉴신림사랑서울특별시 관악구 신림동1길 21+ 1층 (신림동)<NA>2023-07-31
5위시어스서울특별시 관악구 봉천로 308-26+ 801호 (봉천동)<NA>2023-07-31
6오휘신림중앙지사서울특별시 관악구 남부순환로191가길 8+ 남현빌딩 4층 (봉천동)02-871-33382023-07-31
7주식회사 대교뉴이프서울특별시 관악구 보라매로3길 23+ 대교타워 (봉천동)<NA>2023-07-31
8태강종합물산서울특별시 관악구 봉천로 360+ 지층 (봉천동)<NA>2023-07-31
9(주)비지에프리테일 관악난우점서울특별시 관악구 난우길 36+ 1층 (신림동)<NA>2023-07-31
의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
713십자의료양행서울특별시 관악구 남부순환로 1512+ 지하1층 (신림동)02-855-71992023-07-31
714미성메디칼서울특별시 관악구 당곡길 47+ 지층 (봉천동)02-888-87862023-07-31
715㈜엔젤코리아에스떼서울특별시 관악구 봉천로 411-1+ 3층 (봉천동+ 뉴파즈빌딩)02-888-04452023-07-31
716보라매의료기상사서울특별시 관악구 보라매로5길 5+ 106+107호 (봉천동)02-834-76472023-07-31
717㈜정산덴탈라인서울특별시 관악구 관천로 107 (신림동)02-852-18042023-07-31
718독일보청기서울특별시 관악구 봉천로 485 (봉천동)02-887-95002023-07-31
719중앙메디칼서울특별시 관악구 조원로 66-1 (신림동)02-867-16222023-07-31
720관악대성휠체어의료기서울특별시 관악구 관악로 224 (봉천동)02-887-93542023-07-31
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