Overview

Dataset statistics

Number of variables4
Number of observations713
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory32.2 B

Variable types

Text3
Categorical1

Dataset

Description서울특별시 관악구 병의원, 약국, 안경원, 치과기공소, 안전상비의약품, 의료기기 등록업소 현황(의료기관명, 의료기관 도로명 주소, 의료기관 전화번호)
URLhttps://www.data.go.kr/data/3052857/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-12 06:12:52.727231
Analysis finished2023-12-12 06:12:53.215062
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct712
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T15:12:53.407480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6788219
Min length3

Characters and Unicode

Total characters5475
Distinct characters369
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique711 ?
Unique (%)99.7%

Sample

1st row바른사랑병원
2nd row장튼위튼병원
3rd row심정병원
4th row연세건우병원
5th row조인트힐병원
ValueCountFrequency (%)
광덕안정한의원 2
 
0.3%
라임의원 2
 
0.3%
양지치과의원 1
 
0.1%
조이치과의원 1
 
0.1%
즐거운치과의원 1
 
0.1%
현대치과의원 1
 
0.1%
서울n치과의원 1
 
0.1%
아이비치과의원 1
 
0.1%
리더스치과의원 1
 
0.1%
서울안치과의원 1
 
0.1%
Other values (710) 710
98.3%
2023-12-12T15:12:53.814776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 751
 
13.7%
원 716
 
13.1%
과 488
 
8.9%
치 216
 
3.9%
한 180
 
3.3%
정 112
 
2.0%
이 90
 
1.6%
세 77
 
1.4%
연 76
 
1.4%
서 75
 
1.4%
Other values (359) 2694
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5389
98.4%
Uppercase Letter 31
 
0.6%
Decimal Number 21
 
0.4%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Space Separator 9
 
0.2%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 751
 
13.9%
원 716
 
13.3%
과 488
 
9.1%
치 216
 
4.0%
한 180
 
3.3%
정 112
 
2.1%
이 90
 
1.7%
세 77
 
1.4%
연 76
 
1.4%
서 75
 
1.4%
Other values (331) 2608
48.4%
Uppercase Letter
ValueCountFrequency (%)
S 6
19.4%
N 4
12.9%
C 3
 
9.7%
W 2
 
6.5%
L 2
 
6.5%
R 2
 
6.5%
K 1
 
3.2%
O 1
 
3.2%
G 1
 
3.2%
A 1
 
3.2%
Other values (8) 8
25.8%
Decimal Number
ValueCountFrequency (%)
3 7
33.3%
6 7
33.3%
5 7
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5386
98.4%
Common 53
 
1.0%
Latin 33
 
0.6%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 751
 
13.9%
원 716
 
13.3%
과 488
 
9.1%
치 216
 
4.0%
한 180
 
3.3%
정 112
 
2.1%
이 90
 
1.7%
세 77
 
1.4%
연 76
 
1.4%
서 75
 
1.4%
Other values (328) 2605
48.4%
Latin
ValueCountFrequency (%)
S 6
18.2%
N 4
12.1%
C 3
 
9.1%
W 2
 
6.1%
L 2
 
6.1%
e 2
 
6.1%
R 2
 
6.1%
K 1
 
3.0%
O 1
 
3.0%
G 1
 
3.0%
Other values (9) 9
27.3%
Common
ValueCountFrequency (%)
) 10
18.9%
( 10
18.9%
9
17.0%
3 7
13.2%
6 7
13.2%
5 7
13.2%
& 1
 
1.9%
- 1
 
1.9%
. 1
 
1.9%
Han
ValueCountFrequency (%)
人 1
33.3%
愛 1
33.3%
美 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5386
98.4%
ASCII 86
 
1.6%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 751
 
13.9%
원 716
 
13.3%
과 488
 
9.1%
치 216
 
4.0%
한 180
 
3.3%
정 112
 
2.1%
이 90
 
1.7%
세 77
 
1.4%
연 76
 
1.4%
서 75
 
1.4%
Other values (328) 2605
48.4%
ASCII
ValueCountFrequency (%)
) 10
11.6%
( 10
11.6%
9
10.5%
3 7
 
8.1%
6 7
 
8.1%
5 7
 
8.1%
S 6
 
7.0%
N 4
 
4.7%
C 3
 
3.5%
W 2
 
2.3%
Other values (18) 21
24.4%
CJK
ValueCountFrequency (%)
人 1
33.3%
愛 1
33.3%
美 1
33.3%

의료기관 주소(도로명)
Text

Distinct689
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T15:12:54.275331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length30.781206
Min length21

Characters and Unicode

Total characters21947
Distinct characters229
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

Unique666 ?
Unique (%)93.4%

Sample

1st row서울특별시 관악구 신원로 35+ 삼모 더 프라임 타워 3+7층 (신림동)
2nd row서울특별시 관악구 남부순환로 1867 (봉천동)
3rd row서울특별시 관악구 남부순환로 1485+ 삼남빌딩 2~6층 (신림동)
4th row서울특별시 관악구 남부순환로 1814+ 대연빌딩 3+4+8+9층 (봉천동)
5th row서울특별시 관악구 난곡로 215 (신림동)
ValueCountFrequency (%)
서울특별시 713
16.0%
관악구 713
16.0%
봉천동 362
 
8.1%
신림동 316
 
7.1%
남부순환로 186
 
4.2%
2층 139
 
3.1%
3층 93
 
2.1%
신림로 92
 
2.1%
관악로 81
 
1.8%
난곡로 77
 
1.7%
Other values (686) 1675
37.7%
2023-12-12T15:12:54.845743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3734
 
17.0%
+ 839
 
3.8%
관 830
 
3.8%
악 827
 
3.8%
동 738
 
3.4%
서 730
 
3.3%
시 728
 
3.3%
구 716
 
3.3%
) 715
 
3.3%
울 714
 
3.3%
Other values (219) 11376
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12577
57.3%
Space Separator 3734
 
17.0%
Decimal Number 3279
 
14.9%
Math Symbol 864
 
3.9%
Close Punctuation 715
 
3.3%
Open Punctuation 714
 
3.3%
Dash Punctuation 36
 
0.2%
Uppercase Letter 21
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 830
 
6.6%
악 827
 
6.6%
동 738
 
5.9%
서 730
 
5.8%
시 728
 
5.8%
구 716
 
5.7%
울 714
 
5.7%
별 713
 
5.7%
특 713
 
5.7%
로 661
 
5.3%
Other values (191) 5207
41.4%
Decimal Number
ValueCountFrequency (%)
1 629
19.2%
2 535
16.3%
3 480
14.6%
0 330
10.1%
4 293
8.9%
5 251
 
7.7%
6 246
 
7.5%
8 193
 
5.9%
9 161
 
4.9%
7 161
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
28.6%
S 5
23.8%
B 4
19.0%
G 2
 
9.5%
W 1
 
4.8%
K 1
 
4.8%
Q 1
 
4.8%
C 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
w 1
25.0%
c 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 839
97.1%
~ 25
 
2.9%
Space Separator
ValueCountFrequency (%)
3734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 715
100.0%
Open Punctuation
ValueCountFrequency (%)
( 714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12577
57.3%
Common 9345
42.6%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 830
 
6.6%
악 827
 
6.6%
동 738
 
5.9%
서 730
 
5.8%
시 728
 
5.8%
구 716
 
5.7%
울 714
 
5.7%
별 713
 
5.7%
특 713
 
5.7%
로 661
 
5.3%
Other values (191) 5207
41.4%
Common
ValueCountFrequency (%)
3734
40.0%
+ 839
 
9.0%
) 715
 
7.7%
( 714
 
7.6%
1 629
 
6.7%
2 535
 
5.7%
3 480
 
5.1%
0 330
 
3.5%
4 293
 
3.1%
5 251
 
2.7%
Other values (7) 825
 
8.8%
Latin
ValueCountFrequency (%)
A 6
24.0%
S 5
20.0%
B 4
16.0%
G 2
 
8.0%
s 2
 
8.0%
W 1
 
4.0%
K 1
 
4.0%
Q 1
 
4.0%
w 1
 
4.0%
C 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12577
57.3%
ASCII 9370
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3734
39.9%
+ 839
 
9.0%
) 715
 
7.6%
( 714
 
7.6%
1 629
 
6.7%
2 535
 
5.7%
3 480
 
5.1%
0 330
 
3.5%
4 293
 
3.1%
5 251
 
2.7%
Other values (18) 850
 
9.1%
Hangul
ValueCountFrequency (%)
관 830
 
6.6%
악 827
 
6.6%
동 738
 
5.9%
서 730
 
5.8%
시 728
 
5.8%
구 716
 
5.7%
울 714
 
5.7%
별 713
 
5.7%
특 713
 
5.7%
로 661
 
5.3%
Other values (191) 5207
41.4%

의료기관 전화번호
Text

Distinct711
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-12T15:12:55.192558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.131837
Min length9

Characters and Unicode

Total characters7937
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

Unique709 ?
Unique (%)99.4%

Sample

1st row02-878-8875
2nd row02-878-7119
3rd row1588-3330
4th row1644-4630
5th row02-1899-7272
ValueCountFrequency (%)
02-875-9300 2
 
0.3%
02-839-3425 2
 
0.3%
02-584-2967 1
 
0.1%
02-871-6155 1
 
0.1%
02-879-2804 1
 
0.1%
02-878-2804 1
 
0.1%
02-885-2804 1
 
0.1%
02-878-8875 1
 
0.1%
02-861-7799 1
 
0.1%
02-872-2226 1
 
0.1%
Other values (701) 701
98.3%
2023-12-12T15:12:55.615690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1423
17.9%
8 1300
16.4%
2 1237
15.6%
0 1088
13.7%
7 776
9.8%
5 626
7.9%
3 390
 
4.9%
6 361
 
4.5%
1 311
 
3.9%
9 230
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6514
82.1%
Dash Punctuation 1423
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1300
20.0%
2 1237
19.0%
0 1088
16.7%
7 776
11.9%
5 626
9.6%
3 390
 
6.0%
6 361
 
5.5%
1 311
 
4.8%
9 230
 
3.5%
4 195
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1423
17.9%
8 1300
16.4%
2 1237
15.6%
0 1088
13.7%
7 776
9.8%
5 626
7.9%
3 390
 
4.9%
6 361
 
4.5%
1 311
 
3.9%
9 230
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1423
17.9%
8 1300
16.4%
2 1237
15.6%
0 1088
13.7%
7 776
9.8%
5 626
7.9%
3 390
 
4.9%
6 361
 
4.5%
1 311
 
3.9%
9 230
 
2.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-08-01
713 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 713
100.0%

Length

2023-12-12T15:12:55.760655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:55.870633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 713
100.0%

Missing values

2023-12-12T15:12:53.101651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:12:53.180706image/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

의료기관명의료기관 주소(도로명)의료기관 전화번호데이터기준일
0바른사랑병원서울특별시 관악구 신원로 35+ 삼모 더 프라임 타워 3+7층 (신림동)02-878-88752023-08-01
1장튼위튼병원서울특별시 관악구 남부순환로 1867 (봉천동)02-878-71192023-08-01
2심정병원서울특별시 관악구 남부순환로 1485+ 삼남빌딩 2~6층 (신림동)1588-33302023-08-01
3연세건우병원서울특별시 관악구 남부순환로 1814+ 대연빌딩 3+4+8+9층 (봉천동)1644-46302023-08-01
4조인트힐병원서울특별시 관악구 난곡로 215 (신림동)02-1899-72722023-08-01
5척편한병원서울특별시 관악구 신림로 318+ 4+5층 (신림동+ 청암두산위브)02-6676-60002023-08-01
6강남초이스병원서울특별시 관악구 남부순환로 1796+ -1+2~5층 (봉천동+ 삼호빌딩)02-875-22002023-08-01
7서울퍼스트병원서울특별시 관악구 은천로 51 (봉천동+ 2+3+4+5+6층)02-882-69002023-08-01
8강남힐병원서울특별시 관악구 남부순환로 1449+ 강남힐병원 (신림동)02-853-46002023-08-01
9사랑의병원서울특별시 관악구 남부순환로 1860+ -1+1+3+4+5층 (봉천동)02-880-01142023-08-01
의료기관명의료기관 주소(도로명)의료기관 전화번호데이터기준일
703호정한의원서울특별시 관악구 신원로 23 (신림동)02-855-97872023-08-01
704신림한의원서울특별시 관악구 신림로 119+ 1층 (신림동)02-888-94772023-08-01
705푸른한의원서울특별시 관악구 난곡로 263+ 2층 (신림동)02-851-28612023-08-01
706서주한의원서울특별시 관악구 난곡로 321 (신림동)02-863-23852023-08-01
707청도한의원서울특별시 관악구 남부순환로214길 28 (봉천동)02-877-47602023-08-01
708서울대입구백세한의원서울특별시 관악구 관악로 208+ 2층 (봉천동)0507-1354-63632023-08-01
709본디올홍제한의원서울특별시 관악구 남현4길 1+ 2층 (남현동)02-584-29672023-08-01
710제생한의원서울특별시 관악구 난곡로 202+ 3층 (신림동)02-854-54662023-08-01
711경희한의원서울특별시 관악구 은천로 169 (봉천동)02-889-71172023-08-01
712신성한의원서울특별시 관악구 법원단지길 10 (신림동)02-856-38232023-08-01