Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)18.2%
Total size in memory1012.0 B
Average record size in memory46.0 B

Variable types

Text3
Categorical2

Dataset

Description대전광역시 동구 관내 설치된 특수의료장비 현황입니다. (의료기관명, 주소, 의료장비명 등의 항목을 제공합니다.)
Author대전광역시 동구
URLhttps://www.data.go.kr/data/15036344/fileData.do

Alerts

Dataset has 4 (18.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 01:11:11.036960
Analysis finished2023-12-12 01:11:11.436413
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T10:11:11.577015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.2272727
Min length5

Characters and Unicode

Total characters159
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row글로벌튼튼병원
2nd row글로벌튼튼병원
3rd row글로벌튼튼병원
4th row글로벌튼튼병원
5th row김종현내과의원
ValueCountFrequency (%)
대전한국병원 5
22.7%
글로벌튼튼병원 4
18.2%
동아영상의학과의원 3
13.6%
성모영상의학과의원 3
13.6%
김종현내과의원 1
 
4.5%
소중한배내과의원 1
 
4.5%
속튼튼내과의원 1
 
4.5%
엠허브의원 1
 
4.5%
올리브내과의원 1
 
4.5%
제일내과의원 1
 
4.5%
2023-12-12T10:11:12.001817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 22
 
13.8%
의 19
 
11.9%
과 12
 
7.5%
튼 10
 
6.3%
병 9
 
5.7%
한 7
 
4.4%
학 6
 
3.8%
상 6
 
3.8%
영 6
 
3.8%
내 6
 
3.8%
Other values (26) 56
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
13.8%
의 19
 
11.9%
과 12
 
7.5%
튼 10
 
6.3%
병 9
 
5.7%
한 7
 
4.4%
학 6
 
3.8%
상 6
 
3.8%
영 6
 
3.8%
내 6
 
3.8%
Other values (26) 56
35.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
13.8%
의 19
 
11.9%
과 12
 
7.5%
튼 10
 
6.3%
병 9
 
5.7%
한 7
 
4.4%
학 6
 
3.8%
상 6
 
3.8%
영 6
 
3.8%
내 6
 
3.8%
Other values (26) 56
35.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 22
 
13.8%
의 19
 
11.9%
과 12
 
7.5%
튼 10
 
6.3%
병 9
 
5.7%
한 7
 
4.4%
학 6
 
3.8%
상 6
 
3.8%
영 6
 
3.8%
내 6
 
3.8%
Other values (26) 56
35.2%

의료기관전화번호
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T10:11:12.194668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique7 ?
Unique (%)31.8%

Sample

1st row042-220-2300
2nd row042-220-2300
3rd row042-220-2300
4th row042-220-2300
5th row042-223-7580
ValueCountFrequency (%)
042-606-1000 5
22.7%
042-220-2300 4
18.2%
042-624-0405 3
13.6%
042-274-9885 3
13.6%
042-223-7580 1
 
4.5%
042-271-0075 1
 
4.5%
042-334-1007 1
 
4.5%
042-710-8119 1
 
4.5%
042-286-0075 1
 
4.5%
042-632-2406 1
 
4.5%
2023-12-12T10:11:12.450026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
26.1%
2 47
17.8%
- 44
16.7%
4 33
12.5%
6 16
 
6.1%
3 11
 
4.2%
8 11
 
4.2%
1 10
 
3.8%
7 10
 
3.8%
5 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
31.4%
2 47
21.4%
4 33
15.0%
6 16
 
7.3%
3 11
 
5.0%
8 11
 
5.0%
1 10
 
4.5%
7 10
 
4.5%
5 9
 
4.1%
9 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
26.1%
2 47
17.8%
- 44
16.7%
4 33
12.5%
6 16
 
6.1%
3 11
 
4.2%
8 11
 
4.2%
1 10
 
3.8%
7 10
 
3.8%
5 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
26.1%
2 47
17.8%
- 44
16.7%
4 33
12.5%
6 16
 
6.1%
3 11
 
4.2%
8 11
 
4.2%
1 10
 
3.8%
7 10
 
3.8%
5 9
 
3.4%

의료기관우편번호(도로명)
Categorical

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
'34572
5 
'34542
4 
'34552
4 
'34634
3 
'34628
1 
Other values (5)
5 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique6 ?
Unique (%)27.3%

Sample

1st row'34542
2nd row'34542
3rd row'34542
4th row'34542
5th row'34628

Common Values

ValueCountFrequency (%)
'34572 5
22.7%
'34542 4
18.2%
'34552 4
18.2%
'34634 3
13.6%
'34628 1
 
4.5%
'34675 1
 
4.5%
'34637 1
 
4.5%
'34695 1
 
4.5%
'34648 1
 
4.5%
'34639 1
 
4.5%

Length

2023-12-12T10:11:12.590925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:11:12.712733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34572 5
22.7%
34542 4
18.2%
34552 4
18.2%
34634 3
13.6%
34628 1
 
4.5%
34675 1
 
4.5%
34637 1
 
4.5%
34695 1
 
4.5%
34648 1
 
4.5%
34639 1
 
4.5%

의료기관소재지(도로명)
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T10:11:12.899867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.590909
Min length18

Characters and Unicode

Total characters475
Distinct characters41
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row대전광역시 동구 용전동 44번지 2호
2nd row대전광역시 동구 용전동 44번지 2호
3rd row대전광역시 동구 용전동 44번지 2호
4th row대전광역시 동구 용전동 44번지 2호
5th row대전광역시 동구 원동 49번지 1호
ValueCountFrequency (%)
대전광역시 22
20.4%
동구 22
20.4%
용전동 8
 
7.4%
1호 5
 
4.6%
성남2동 5
 
4.6%
496번지15호 5
 
4.6%
44번지 4
 
3.7%
2호 4
 
3.7%
3층 4
 
3.7%
253번지 3
 
2.8%
Other values (20) 26
24.1%
2023-12-12T10:11:13.246237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
18.1%
동 44
 
9.3%
전 30
 
6.3%
대 24
 
5.1%
광 22
 
4.6%
역 22
 
4.6%
시 22
 
4.6%
구 22
 
4.6%
4 21
 
4.4%
지 18
 
3.8%
Other values (31) 164
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
60.2%
Decimal Number 96
 
20.2%
Space Separator 86
 
18.1%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
15.4%
전 30
10.5%
대 24
8.4%
광 22
7.7%
역 22
7.7%
시 22
7.7%
구 22
7.7%
지 18
 
6.3%
호 18
 
6.3%
번 18
 
6.3%
Other values (18) 46
16.1%
Decimal Number
ValueCountFrequency (%)
4 21
21.9%
2 18
18.8%
1 12
12.5%
5 11
11.5%
3 9
9.4%
6 9
9.4%
9 8
 
8.3%
0 5
 
5.2%
7 3
 
3.1%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
60.2%
Common 189
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
15.4%
전 30
10.5%
대 24
8.4%
광 22
7.7%
역 22
7.7%
시 22
7.7%
구 22
7.7%
지 18
 
6.3%
호 18
 
6.3%
번 18
 
6.3%
Other values (18) 46
16.1%
Common
ValueCountFrequency (%)
86
45.5%
4 21
 
11.1%
2 18
 
9.5%
1 12
 
6.3%
5 11
 
5.8%
3 9
 
4.8%
6 9
 
4.8%
9 8
 
4.2%
0 5
 
2.6%
7 3
 
1.6%
Other values (3) 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
60.2%
ASCII 189
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
45.5%
4 21
 
11.1%
2 18
 
9.5%
1 12
 
6.3%
5 11
 
5.8%
3 9
 
4.8%
6 9
 
4.8%
9 8
 
4.2%
0 5
 
2.6%
7 3
 
1.6%
Other values (3) 7
 
3.7%
Hangul
ValueCountFrequency (%)
동 44
15.4%
전 30
10.5%
대 24
8.4%
광 22
7.7%
역 22
7.7%
시 22
7.7%
구 22
7.7%
지 18
 
6.3%
호 18
 
6.3%
번 18
 
6.3%
Other values (18) 46
16.1%

의료장비명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
유방촬영용장치(mammography)
12 
자기공명영상촬영장치(MRI)
5 
전산화단층촬영장치(CT)
5 

Length

Max length20
Median length20
Mean length17.272727
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자기공명영상촬영장치(MRI)
2nd row전산화단층촬영장치(CT)
3rd row자기공명영상촬영장치(MRI)
4th row유방촬영용장치(mammography)
5th row유방촬영용장치(mammography)

Common Values

ValueCountFrequency (%)
유방촬영용장치(mammography) 12
54.5%
자기공명영상촬영장치(MRI) 5
22.7%
전산화단층촬영장치(CT) 5
22.7%

Length

2023-12-12T10:11:13.386442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:11:13.510509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치(mammography 12
54.5%
자기공명영상촬영장치(mri 5
22.7%
전산화단층촬영장치(ct 5
22.7%

Correlations

2023-12-12T10:11:13.588213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관전화번호의료기관우편번호(도로명)의료기관소재지(도로명)의료장비명
의료기관명1.0001.0001.0001.0000.000
의료기관전화번호1.0001.0001.0001.0000.000
의료기관우편번호(도로명)1.0001.0001.0001.0000.000
의료기관소재지(도로명)1.0001.0001.0001.0000.000
의료장비명0.0000.0000.0000.0001.000
2023-12-12T10:11:13.681255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관우편번호(도로명)의료장비명
의료기관우편번호(도로명)1.0000.000
의료장비명0.0001.000
2023-12-12T10:11:13.754731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관우편번호(도로명)의료장비명
의료기관우편번호(도로명)1.0000.000
의료장비명0.0001.000

Missing values

2023-12-12T10:11:11.273086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:11:11.394364image/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

의료기관명의료기관전화번호의료기관우편번호(도로명)의료기관소재지(도로명)의료장비명
0글로벌튼튼병원042-220-2300'34542대전광역시 동구 용전동 44번지 2호자기공명영상촬영장치(MRI)
1글로벌튼튼병원042-220-2300'34542대전광역시 동구 용전동 44번지 2호전산화단층촬영장치(CT)
2글로벌튼튼병원042-220-2300'34542대전광역시 동구 용전동 44번지 2호자기공명영상촬영장치(MRI)
3글로벌튼튼병원042-220-2300'34542대전광역시 동구 용전동 44번지 2호유방촬영용장치(mammography)
4김종현내과의원042-223-7580'34628대전광역시 동구 원동 49번지 1호유방촬영용장치(mammography)
5대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호전산화단층촬영장치(CT)
6대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호자기공명영상촬영장치(MRI)
7대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호자기공명영상촬영장치(MRI)
8대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호전산화단층촬영장치(CT)
9대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호유방촬영용장치(mammography)
의료기관명의료기관전화번호의료기관우편번호(도로명)의료기관소재지(도로명)의료장비명
12동아영상의학과의원042-624-0405'34552대전광역시 동구 계족로 420 (용전동)유방촬영용장치(mammography)
13성모영상의학과의원042-274-9885'34634대전광역시 동구 효동 253번지 1호 3층전산화단층촬영장치(CT)
14성모영상의학과의원042-274-9885'34634대전광역시 동구 효동 253번지 1호 3층유방촬영용장치(mammography)
15성모영상의학과의원042-274-9885'34634대전광역시 동구 효동 253번지 1호 3층유방촬영용장치(mammography)
16소중한배내과의원042-271-0075'34675대전광역시 동구 판암동 300번지 6호유방촬영용장치(mammography)
17속튼튼내과의원042-334-1007'34637대전광역시 동구 대동 543 3층유방촬영용장치(mammography)
18엠허브의원042-710-8119'34552대전광역시 동구 용전동 145번지 5호 아남빌딩유방촬영용장치(mammography)
19올리브내과의원042-286-0075'34695대전광역시 동구 가오동 644번지 1호 6,7층유방촬영용장치(mammography)
20제일내과의원042-632-2406'34648대전광역시 동구 대2동 79번지26호유방촬영용장치(mammography)
21한가족내과의원042-283-3738'34639대전광역시 동구 신흥동 97번지12호유방촬영용장치(mammography)

Duplicate rows

Most frequently occurring

의료기관명의료기관전화번호의료기관우편번호(도로명)의료기관소재지(도로명)의료장비명# duplicates
0글로벌튼튼병원042-220-2300'34542대전광역시 동구 용전동 44번지 2호자기공명영상촬영장치(MRI)2
1대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호자기공명영상촬영장치(MRI)2
2대전한국병원042-606-1000'34572대전광역시 동구 성남2동 496번지15호전산화단층촬영장치(CT)2
3성모영상의학과의원042-274-9885'34634대전광역시 동구 효동 253번지 1호 3층유방촬영용장치(mammography)2