Overview

Dataset statistics

Number of variables4
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory32.8 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 서구 치과의원의 현황에 대한 데이터입니다. 이 데이터는 의원명, 소재지, 전화번호 등에 대한 정보를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086615&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
의원명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:57:45.574035
Analysis finished2024-01-28 05:57:45.950144
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의원명
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T14:57:46.105836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.6941176
Min length5

Characters and Unicode

Total characters1308
Distinct characters174
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row청라365클리어 치과의원
2nd row검단다온치과의원
3rd row검단센트럴치과의원
4th row인천맥치과의원
5th row연세검단치과의원
ValueCountFrequency (%)
맑은미소치과의원 2
 
1.2%
청라365클리어 1
 
0.6%
굿모닝치과의원 1
 
0.6%
건플란트치과의원 1
 
0.6%
연희수치과의원 1
 
0.6%
보스톤클래식치과의원 1
 
0.6%
세이프치과의원 1
 
0.6%
이편한치과의원 1
 
0.6%
이안치과의원 1
 
0.6%
미플러스치과의원 1
 
0.6%
Other values (162) 162
93.6%
2024-01-28T14:57:46.397265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 180
 
13.8%
치 175
 
13.4%
원 174
 
13.3%
의 171
 
13.1%
세 23
 
1.8%
이 23
 
1.8%
서 22
 
1.7%
연 20
 
1.5%
스 19
 
1.5%
라 18
 
1.4%
Other values (164) 483
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
98.9%
Decimal Number 8
 
0.6%
Space Separator 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 180
 
13.9%
치 175
 
13.5%
원 174
 
13.4%
의 171
 
13.2%
세 23
 
1.8%
이 23
 
1.8%
서 22
 
1.7%
연 20
 
1.5%
스 19
 
1.5%
라 18
 
1.4%
Other values (155) 469
36.2%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
5 2
25.0%
3 2
25.0%
1 1
12.5%
2 1
12.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
98.9%
Common 13
 
1.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 180
 
13.9%
치 175
 
13.5%
원 174
 
13.4%
의 171
 
13.2%
세 23
 
1.8%
이 23
 
1.8%
서 22
 
1.7%
연 20
 
1.5%
스 19
 
1.5%
라 18
 
1.4%
Other values (155) 469
36.2%
Common
ValueCountFrequency (%)
3
23.1%
6 2
15.4%
5 2
15.4%
3 2
15.4%
1 1
 
7.7%
2 1
 
7.7%
( 1
 
7.7%
) 1
 
7.7%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1294
98.9%
ASCII 14
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 180
 
13.9%
치 175
 
13.5%
원 174
 
13.4%
의 171
 
13.2%
세 23
 
1.8%
이 23
 
1.8%
서 22
 
1.7%
연 20
 
1.5%
스 19
 
1.5%
라 18
 
1.4%
Other values (155) 469
36.2%
ASCII
ValueCountFrequency (%)
3
21.4%
6 2
14.3%
5 2
14.3%
3 2
14.3%
1 1
 
7.1%
2 1
 
7.1%
( 1
 
7.1%
) 1
 
7.1%
S 1
 
7.1%

소재지
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T14:57:46.619817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length33.064706
Min length20

Characters and Unicode

Total characters5621
Distinct characters223
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

Unique170 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 청라에메랄드로 94, 인천 청라빌딩 2층 204호 (청라동)
2nd row인천광역시 서구 완정로 54, 두영빌딩 2층 202호 (마전동)
3rd row인천광역시 서구 이음대로 479, CS메디칼프라자 2층 201호 (당하동)
4th row인천광역시 서구 봉오대로 255, 305.306.307.308호 (가정동)
5th row인천광역시 서구 이음대로 388, ABM타워 503~509호 (원당동)
ValueCountFrequency (%)
인천광역시 170
 
15.2%
서구 170
 
15.2%
가정로 25
 
2.2%
2층 23
 
2.1%
마전동 21
 
1.9%
청라동 19
 
1.7%
석남동 19
 
1.7%
가정동 19
 
1.7%
가좌동 17
 
1.5%
3층 17
 
1.5%
Other values (395) 615
55.2%
2024-01-28T14:57:46.975796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
946
 
16.8%
, 216
 
3.8%
서 194
 
3.5%
0 191
 
3.4%
동 182
 
3.2%
로 178
 
3.2%
인 174
 
3.1%
시 174
 
3.1%
천 173
 
3.1%
광 172
 
3.1%
Other values (213) 3021
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3016
53.7%
Decimal Number 1029
 
18.3%
Space Separator 946
 
16.8%
Other Punctuation 221
 
3.9%
Close Punctuation 170
 
3.0%
Open Punctuation 170
 
3.0%
Uppercase Letter 24
 
0.4%
Math Symbol 22
 
0.4%
Lowercase Letter 12
 
0.2%
Dash Punctuation 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 194
 
6.4%
동 182
 
6.0%
로 178
 
5.9%
인 174
 
5.8%
시 174
 
5.8%
천 173
 
5.7%
광 172
 
5.7%
역 170
 
5.6%
구 170
 
5.6%
호 95
 
3.1%
Other values (178) 1334
44.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.7%
K 3
12.5%
I 2
8.3%
L 2
8.3%
B 2
8.3%
W 2
8.3%
E 2
8.3%
V 2
8.3%
M 2
8.3%
C 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
0 191
18.6%
3 157
15.3%
2 134
13.0%
1 125
12.1%
4 100
9.7%
5 74
 
7.2%
6 72
 
7.0%
8 66
 
6.4%
7 62
 
6.0%
9 48
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
d 2
16.7%
r 2
16.7%
s 2
16.7%
a 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 216
97.7%
. 3
 
1.4%
' 2
 
0.9%
Space Separator
ValueCountFrequency (%)
946
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3016
53.7%
Common 2569
45.7%
Latin 36
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 194
 
6.4%
동 182
 
6.0%
로 178
 
5.9%
인 174
 
5.8%
시 174
 
5.8%
천 173
 
5.7%
광 172
 
5.7%
역 170
 
5.6%
구 170
 
5.6%
호 95
 
3.1%
Other values (178) 1334
44.2%
Common
ValueCountFrequency (%)
946
36.8%
, 216
 
8.4%
0 191
 
7.4%
) 170
 
6.6%
( 170
 
6.6%
3 157
 
6.1%
2 134
 
5.2%
1 125
 
4.9%
4 100
 
3.9%
5 74
 
2.9%
Other values (8) 286
 
11.1%
Latin
ValueCountFrequency (%)
e 4
 
11.1%
S 4
 
11.1%
K 3
 
8.3%
I 2
 
5.6%
L 2
 
5.6%
B 2
 
5.6%
d 2
 
5.6%
W 2
 
5.6%
r 2
 
5.6%
s 2
 
5.6%
Other values (7) 11
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3016
53.7%
ASCII 2605
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
946
36.3%
, 216
 
8.3%
0 191
 
7.3%
) 170
 
6.5%
( 170
 
6.5%
3 157
 
6.0%
2 134
 
5.1%
1 125
 
4.8%
4 100
 
3.8%
5 74
 
2.8%
Other values (25) 322
 
12.4%
Hangul
ValueCountFrequency (%)
서 194
 
6.4%
동 182
 
6.0%
로 178
 
5.9%
인 174
 
5.8%
시 174
 
5.8%
천 173
 
5.7%
광 172
 
5.7%
역 170
 
5.6%
구 170
 
5.6%
호 95
 
3.1%
Other values (178) 1334
44.2%

전화번호
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T14:57:47.196758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2040
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

Unique170 ?
Unique (%)100.0%

Sample

1st row032-564-2822
2nd row032-569-2875
3rd row032-569-2275
4th row032-565-7928
5th row032-225-7528
ValueCountFrequency (%)
032-564-2822 1
 
0.6%
032-584-4393 1
 
0.6%
032-575-5294 1
 
0.6%
032-574-2835 1
 
0.6%
032-421-2828 1
 
0.6%
032-561-2875 1
 
0.6%
032-571-2080 1
 
0.6%
032-571-7528 1
 
0.6%
032-569-2825 1
 
0.6%
032-568-8828 1
 
0.6%
Other values (160) 160
94.1%
2024-01-28T14:57:47.508871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 399
19.6%
- 340
16.7%
5 255
12.5%
0 232
11.4%
3 208
10.2%
8 174
8.5%
7 166
8.1%
6 123
 
6.0%
4 57
 
2.8%
1 47
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1700
83.3%
Dash Punctuation 340
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 399
23.5%
5 255
15.0%
0 232
13.6%
3 208
12.2%
8 174
10.2%
7 166
9.8%
6 123
 
7.2%
4 57
 
3.4%
1 47
 
2.8%
9 39
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 399
19.6%
- 340
16.7%
5 255
12.5%
0 232
11.4%
3 208
10.2%
8 174
8.5%
7 166
8.1%
6 123
 
6.0%
4 57
 
2.8%
1 47
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 399
19.6%
- 340
16.7%
5 255
12.5%
0 232
11.4%
3 208
10.2%
8 174
8.5%
7 166
8.1%
6 123
 
6.0%
4 57
 
2.8%
1 47
 
2.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-01
170 

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 (%)
2023-08-01 170
100.0%

Length

2024-01-28T14:57:47.626614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:57:47.709347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 170
100.0%

Missing values

2024-01-28T14:57:45.828957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:57:45.912019image/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
0청라365클리어 치과의원인천광역시 서구 청라에메랄드로 94, 인천 청라빌딩 2층 204호 (청라동)032-564-28222023-08-01
1검단다온치과의원인천광역시 서구 완정로 54, 두영빌딩 2층 202호 (마전동)032-569-28752023-08-01
2검단센트럴치과의원인천광역시 서구 이음대로 479, CS메디칼프라자 2층 201호 (당하동)032-569-22752023-08-01
3인천맥치과의원인천광역시 서구 봉오대로 255, 305.306.307.308호 (가정동)032-565-79282023-08-01
4연세검단치과의원인천광역시 서구 이음대로 388, ABM타워 503~509호 (원당동)032-225-75282023-08-01
5검단가온치과의원인천광역시 서구 완정로178번길 1, 검단빌딩 201~202호 (마전동)032-266-28792023-08-01
6치과로와치과의원인천광역시 서구 발산로 6, 아인시티 주차타워 306~310호 (원당동)032-562-53752023-08-01
7이앤백치과의원인천광역시 서구 이음대로 392, 메트로시티 4층 407~409호 (원당동)032-562-75282023-08-01
8피어나치과교정과치과의원인천광역시 서구 이음5로 62, 정인프라자 4층 401~406호 (원당동)032-568-05022023-08-01
9루원하다소아치과의원인천광역시 서구 염곡로464번길 15, 304~306호 (가정동)032-567-22722023-08-01
의원명소재지전화번호데이터기준일자
160오승훈치과의원인천광역시 서구 가정로 388 (가정동)032-564-39482023-08-01
161플랜트치과의원인천광역시 서구 가정로 123, 2층 (가좌동)032-579-28282023-08-01
162두진규치과의원인천광역시 서구 원적로 100, 6층 (가좌동)032-581-14432023-08-01
163정순민치과의원인천광역시 서구 가정로 364-1, 2층 (가정동, 창대빌딩)032-575-97012023-08-01
164신석치과의원인천광역시 서구 가정로 317, 에이동 302호 (석남동, 두성상가)032-572-60002023-08-01
165김준영치과의원인천광역시 서구 완정로 160, 2층 (마전동)032-562-75752023-08-01
166한솔치과의원인천광역시 서구 원적로96번길 26 (가좌동)032-577-28752023-08-01
167박윤현치과의원인천광역시 서구 원적로 99 (가좌동)032-573-00882023-08-01
168연세해맑은치과의원인천광역시 서구 장고개로 277-1 (가좌동)032-576-82882023-08-01
169이엔치과의원인천광역시 서구 가정로 212, 5층 (석남동)032-282-28752023-08-01