Overview

Dataset statistics

Number of variables4
Number of observations560
Missing cells13
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.6 KiB
Average record size in memory32.2 B

Variable types

Text3
DateTime1

Dataset

Description인천광역시 서구 의원의 현황에 대한 데이터입니다. 이 데이터는 의원명, 소재지, 전화번호 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044207/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 13 (2.3%) missing valuesMissing
의원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:44:25.691946
Analysis finished2023-12-12 23:44:26.135228
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의원명
Text

UNIQUE 

Distinct560
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-13T08:44:26.347762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.85
Min length4

Characters and Unicode

Total characters4396
Distinct characters325
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)100.0%

Sample

1st row연세프리마의원
2nd row인천검단점 유앤아이의원
3rd row더숲이비인후과의원
4th row더바른성모내과의원(The바른성모내과의원)
5th row루원탑내과의원
ValueCountFrequency (%)
청라점 2
 
0.3%
세중한의원 2
 
0.3%
정신건강의학과의원 2
 
0.3%
맑은미소치과의원 2
 
0.3%
오라클피부과의원 2
 
0.3%
미래이비인후과의원 1
 
0.2%
행복한이비인후과의원 1
 
0.2%
이해림산부인과의원 1
 
0.2%
가좌성모의원 1
 
0.2%
원당프라임한의원 1
 
0.2%
Other values (559) 559
97.4%
2023-12-13T08:44:26.734353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 597
 
13.6%
원 582
 
13.2%
과 396
 
9.0%
치 175
 
4.0%
한 118
 
2.7%
이 80
 
1.8%
인 76
 
1.7%
정 74
 
1.7%
소 74
 
1.7%
청 65
 
1.5%
Other values (315) 2159
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4319
98.2%
Decimal Number 44
 
1.0%
Space Separator 14
 
0.3%
Lowercase Letter 6
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 597
 
13.8%
원 582
 
13.5%
과 396
 
9.2%
치 175
 
4.1%
한 118
 
2.7%
이 80
 
1.9%
인 76
 
1.8%
정 74
 
1.7%
소 74
 
1.7%
청 65
 
1.5%
Other values (300) 2082
48.2%
Decimal Number
ValueCountFrequency (%)
5 14
31.8%
6 14
31.8%
3 14
31.8%
2 1
 
2.3%
1 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
h 2
33.3%
e 2
33.3%
t 1
16.7%
i 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
S 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4316
98.2%
Common 68
 
1.5%
Latin 9
 
0.2%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 597
 
13.8%
원 582
 
13.5%
과 396
 
9.2%
치 175
 
4.1%
한 118
 
2.7%
이 80
 
1.9%
인 76
 
1.8%
정 74
 
1.7%
소 74
 
1.7%
청 65
 
1.5%
Other values (297) 2079
48.2%
Common
ValueCountFrequency (%)
5 14
20.6%
6 14
20.6%
3 14
20.6%
14
20.6%
) 5
 
7.4%
( 5
 
7.4%
2 1
 
1.5%
1 1
 
1.5%
Latin
ValueCountFrequency (%)
h 2
22.2%
e 2
22.2%
t 1
11.1%
V 1
11.1%
S 1
11.1%
T 1
11.1%
i 1
11.1%
Han
ValueCountFrequency (%)
兒 1
33.3%
笑 1
33.3%
含 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4316
98.2%
ASCII 77
 
1.8%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 597
 
13.8%
원 582
 
13.5%
과 396
 
9.2%
치 175
 
4.1%
한 118
 
2.7%
이 80
 
1.9%
인 76
 
1.8%
정 74
 
1.7%
소 74
 
1.7%
청 65
 
1.5%
Other values (297) 2079
48.2%
ASCII
ValueCountFrequency (%)
5 14
18.2%
6 14
18.2%
3 14
18.2%
14
18.2%
) 5
 
6.5%
( 5
 
6.5%
h 2
 
2.6%
e 2
 
2.6%
t 1
 
1.3%
V 1
 
1.3%
Other values (5) 5
 
6.5%
CJK
ValueCountFrequency (%)
兒 1
33.3%
笑 1
33.3%
含 1
33.3%

소재지
Text

Distinct531
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-13T08:44:26.962497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length33.583929
Min length20

Characters and Unicode

Total characters18807
Distinct characters271
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

Unique511 ?
Unique (%)91.2%

Sample

1st row인천광역시 서구 서로4로 94, 서연프라자 2,3층 (원당동)
2nd row인천광역시 서구 이음1로 377, 검단 눈담봄 101 3층 306~311호 (원당동)
3rd row인천광역시 서구 이음3로 149, 위너스 프라자 4층 (당하동)
4th row인천광역시 서구 이음3로 149, 위너스 프라자 5층 (당하동)
5th row인천광역시 서구 봉오대로 255, 루원눈담봄 2층 207~210호 (가정동)
ValueCountFrequency (%)
인천광역시 560
 
15.0%
서구 560
 
15.0%
가정로 87
 
2.3%
청라동 72
 
1.9%
가좌동 63
 
1.7%
석남동 60
 
1.6%
2층 58
 
1.6%
가정동 58
 
1.6%
원당동 48
 
1.3%
완정로 47
 
1.3%
Other values (719) 2115
56.7%
2023-12-13T08:44:27.333768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3170
 
16.9%
, 754
 
4.0%
서 631
 
3.4%
0 615
 
3.3%
로 594
 
3.2%
동 585
 
3.1%
시 578
 
3.1%
인 569
 
3.0%
천 564
 
3.0%
광 562
 
3.0%
Other values (261) 10185
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10079
53.6%
Decimal Number 3442
 
18.3%
Space Separator 3170
 
16.9%
Other Punctuation 763
 
4.1%
Close Punctuation 561
 
3.0%
Open Punctuation 561
 
3.0%
Uppercase Letter 82
 
0.4%
Math Symbol 78
 
0.4%
Lowercase Letter 36
 
0.2%
Dash Punctuation 35
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 631
 
6.3%
로 594
 
5.9%
동 585
 
5.8%
시 578
 
5.7%
인 569
 
5.6%
천 564
 
5.6%
광 562
 
5.6%
구 560
 
5.6%
역 560
 
5.6%
호 320
 
3.2%
Other values (225) 4556
45.2%
Uppercase Letter
ValueCountFrequency (%)
S 16
19.5%
K 9
11.0%
M 7
8.5%
L 6
 
7.3%
I 6
 
7.3%
B 6
 
7.3%
E 6
 
7.3%
W 6
 
7.3%
V 6
 
7.3%
J 5
 
6.1%
Other values (3) 9
11.0%
Decimal Number
ValueCountFrequency (%)
0 615
17.9%
3 496
14.4%
1 438
12.7%
2 427
12.4%
4 362
10.5%
5 274
8.0%
6 253
7.4%
7 214
 
6.2%
8 213
 
6.2%
9 150
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 12
33.3%
s 6
16.7%
r 6
16.7%
d 6
16.7%
a 6
16.7%
Other Punctuation
ValueCountFrequency (%)
, 754
98.8%
' 6
 
0.8%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
3170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 561
100.0%
Math Symbol
ValueCountFrequency (%)
~ 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10079
53.6%
Common 8610
45.8%
Latin 118
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 631
 
6.3%
로 594
 
5.9%
동 585
 
5.8%
시 578
 
5.7%
인 569
 
5.6%
천 564
 
5.6%
광 562
 
5.6%
구 560
 
5.6%
역 560
 
5.6%
호 320
 
3.2%
Other values (225) 4556
45.2%
Common
ValueCountFrequency (%)
3170
36.8%
, 754
 
8.8%
0 615
 
7.1%
) 561
 
6.5%
( 561
 
6.5%
3 496
 
5.8%
1 438
 
5.1%
2 427
 
5.0%
4 362
 
4.2%
5 274
 
3.2%
Other values (8) 952
 
11.1%
Latin
ValueCountFrequency (%)
S 16
13.6%
e 12
 
10.2%
K 9
 
7.6%
M 7
 
5.9%
s 6
 
5.1%
r 6
 
5.1%
d 6
 
5.1%
a 6
 
5.1%
L 6
 
5.1%
I 6
 
5.1%
Other values (8) 38
32.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10079
53.6%
ASCII 8728
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3170
36.3%
, 754
 
8.6%
0 615
 
7.0%
) 561
 
6.4%
( 561
 
6.4%
3 496
 
5.7%
1 438
 
5.0%
2 427
 
4.9%
4 362
 
4.1%
5 274
 
3.1%
Other values (26) 1070
 
12.3%
Hangul
ValueCountFrequency (%)
서 631
 
6.3%
로 594
 
5.9%
동 585
 
5.8%
시 578
 
5.7%
인 569
 
5.6%
천 564
 
5.6%
광 562
 
5.6%
구 560
 
5.6%
역 560
 
5.6%
호 320
 
3.2%
Other values (225) 4556
45.2%

전화번호
Text

MISSING 

Distinct546
Distinct (%)99.8%
Missing13
Missing (%)2.3%
Memory size4.5 KiB
2023-12-13T08:44:27.534944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003656
Min length12

Characters and Unicode

Total characters6566
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

Unique545 ?
Unique (%)99.6%

Sample

1st row032-710-6987
2nd row032-568-8275
3rd row032-561-7535
4th row032-569-7575
5th row032-564-2822
ValueCountFrequency (%)
032-577-3650 2
 
0.4%
032-584-4393 1
 
0.2%
032-564-2870 1
 
0.2%
032-563-2845 1
 
0.2%
032-565-2204 1
 
0.2%
032-562-6069 1
 
0.2%
032-882-2875 1
 
0.2%
032-569-5100 1
 
0.2%
032-569-2825 1
 
0.2%
032-566-2804 1
 
0.2%
Other values (536) 536
98.0%
2023-12-13T08:44:27.843533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1094
16.7%
2 971
14.8%
5 915
13.9%
0 858
13.1%
3 735
11.2%
7 576
8.8%
6 439
6.7%
8 397
 
6.0%
1 273
 
4.2%
4 163
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5472
83.3%
Dash Punctuation 1094
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 971
17.7%
5 915
16.7%
0 858
15.7%
3 735
13.4%
7 576
10.5%
6 439
8.0%
8 397
7.3%
1 273
 
5.0%
4 163
 
3.0%
9 145
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 1094
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6566
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1094
16.7%
2 971
14.8%
5 915
13.9%
0 858
13.1%
3 735
11.2%
7 576
8.8%
6 439
6.7%
8 397
 
6.0%
1 273
 
4.2%
4 163
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1094
16.7%
2 971
14.8%
5 915
13.9%
0 858
13.1%
3 735
11.2%
7 576
8.8%
6 439
6.7%
8 397
 
6.0%
1 273
 
4.2%
4 163
 
2.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-13T08:44:27.951087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:44:28.036393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T08:44:26.015162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:44:26.092847image/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

의원명소재지전화번호데이터기준일자
0연세프리마의원인천광역시 서구 서로4로 94, 서연프라자 2,3층 (원당동)<NA>2023-08-01
1인천검단점 유앤아이의원인천광역시 서구 이음1로 377, 검단 눈담봄 101 3층 306~311호 (원당동)<NA>2023-08-01
2더숲이비인후과의원인천광역시 서구 이음3로 149, 위너스 프라자 4층 (당하동)032-710-69872023-08-01
3더바른성모내과의원(The바른성모내과의원)인천광역시 서구 이음3로 149, 위너스 프라자 5층 (당하동)032-568-82752023-08-01
4루원탑내과의원인천광역시 서구 봉오대로 255, 루원눈담봄 2층 207~210호 (가정동)032-561-75352023-08-01
5검단아라산부인과의원인천광역시 서구 이음대로 392, 메트로시티 5층 512~514호 (원당동)032-569-75752023-08-01
6청라365클리어 치과의원인천광역시 서구 청라에메랄드로 94, 인천 청라빌딩 2층 204호 (청라동)032-564-28222023-08-01
7티움이비인후과의원인천광역시 서구 봉오대로 255, 404~407호 (가정동)<NA>2023-08-01
8홍앤장내과의원인천광역시 서구 가정로 406, 301~303호 (가정동, 루원지웰시티푸르지오)032-566-53532023-08-01
9소중해정신건강의학과의원인천광역시 서구 이음대로 392, 메트로시티 607, 608호 (원당동)032-710-35352023-08-01
의원명소재지전화번호데이터기준일자
550임내과의원인천광역시 서구 가정로 202 (석남동)032-571-06682023-08-01
551석남한의원인천광역시 서구 가정로 216 (석남동)032-571-03652023-08-01
552안산한의원인천광역시 서구 원적로96번길 8, 2층 (가좌동)032-577-01102023-08-01
553한솔치과의원인천광역시 서구 원적로96번길 26 (가좌동)032-577-28752023-08-01
554차인종산부인과의원인천광역시 서구 원적로100번길 8 (가좌동)032-571-66072023-08-01
555박윤현치과의원인천광역시 서구 원적로 99 (가좌동)032-573-00882023-08-01
556연세해맑은치과의원인천광역시 서구 장고개로 277-1 (가좌동)032-576-82882023-08-01
557이엔치과의원인천광역시 서구 가정로 212, 5층 (석남동)032-282-28752023-08-01
558임진영소아청소년과의원인천광역시 서구 장고개로337번길 7, 2층 (가좌동, 모건베스트원상가)032-576-08702023-08-01
559성신한의원인천광역시 서구 가정로 202 (석남동)032-571-40502023-08-01