Overview

Dataset statistics

Number of variables7
Number of observations222
Missing cells0
Missing cells (%)0.0%
Duplicate rows12
Duplicate rows (%)5.4%
Total size in memory12.3 KiB
Average record size in memory56.6 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description충청남도 논산시 진단용방사선 발생장치 및 특수장비 현황(기관명, 장비종류명칭, 모델명, 소재지) 데이터를 제공합니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=388&beforeMenuCd=DOM_000000201001001000&publicdatapk=15030941

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 12 (5.4%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-09 21:02:19.951571
Analysis finished2024-01-09 21:02:20.486225
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct91
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:02:20.627694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.6081081
Min length4

Characters and Unicode

Total characters1467
Distinct characters140
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)12.2%

Sample

1st row75플란트신동일치과
2nd row75플란트신동일치과
3rd row8020치과의원
4th row8020치과의원
5th row8020치과의원
ValueCountFrequency (%)
백제종합병원 24
 
10.2%
고려병원 9
 
3.8%
육군훈련소한의원 8
 
3.4%
대정요양병원 6
 
2.6%
황산의원 5
 
2.1%
김상영내과의원 4
 
1.7%
논산속편한내과 4
 
1.7%
8020치과의원 4
 
1.7%
신경외과의원 4
 
1.7%
제일 4
 
1.7%
Other values (87) 163
69.4%
2024-01-10T06:02:20.980836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 193
 
13.2%
의 145
 
9.9%
과 123
 
8.4%
치 68
 
4.6%
병 53
 
3.6%
산 34
 
2.3%
제 33
 
2.2%
합 32
 
2.2%
백 25
 
1.7%
외 24
 
1.6%
Other values (130) 737
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1432
97.6%
Decimal Number 20
 
1.4%
Space Separator 13
 
0.9%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 193
 
13.5%
의 145
 
10.1%
과 123
 
8.6%
치 68
 
4.7%
병 53
 
3.7%
산 34
 
2.4%
제 33
 
2.3%
합 32
 
2.2%
백 25
 
1.7%
외 24
 
1.7%
Other values (123) 702
49.0%
Decimal Number
ValueCountFrequency (%)
0 8
40.0%
2 4
20.0%
8 4
20.0%
7 2
 
10.0%
5 2
 
10.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1432
97.6%
Common 33
 
2.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 193
 
13.5%
의 145
 
10.1%
과 123
 
8.6%
치 68
 
4.7%
병 53
 
3.7%
산 34
 
2.4%
제 33
 
2.3%
합 32
 
2.2%
백 25
 
1.7%
외 24
 
1.7%
Other values (123) 702
49.0%
Common
ValueCountFrequency (%)
13
39.4%
0 8
24.2%
2 4
 
12.1%
8 4
 
12.1%
7 2
 
6.1%
5 2
 
6.1%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1432
97.6%
ASCII 35
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 193
 
13.5%
의 145
 
10.1%
과 123
 
8.6%
치 68
 
4.7%
병 53
 
3.7%
산 34
 
2.4%
제 33
 
2.3%
합 32
 
2.2%
백 25
 
1.7%
외 24
 
1.7%
Other values (123) 702
49.0%
ASCII
ValueCountFrequency (%)
13
37.1%
0 8
22.9%
2 4
 
11.4%
8 4
 
11.4%
7 2
 
5.7%
5 2
 
5.7%
e 2
 
5.7%

행정동
Categorical

Distinct10
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
취암동
138 
연무읍
27 
강경읍
22 
연산면
 
11
부창동
 
8
Other values (5)
16 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row취암동
2nd row취암동
3rd row취암동
4th row취암동
5th row취암동

Common Values

ValueCountFrequency (%)
취암동 138
62.2%
연무읍 27
 
12.2%
강경읍 22
 
9.9%
연산면 11
 
5.0%
부창동 8
 
3.6%
상월면 6
 
2.7%
양촌면 5
 
2.3%
성동면 2
 
0.9%
노성면 2
 
0.9%
부적면 1
 
0.5%

Length

2024-01-10T06:02:21.104748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:21.213791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 138
62.2%
연무읍 27
 
12.2%
강경읍 22
 
9.9%
연산면 11
 
5.0%
부창동 8
 
3.6%
상월면 6
 
2.7%
양촌면 5
 
2.3%
성동면 2
 
0.9%
노성면 2
 
0.9%
부적면 1
 
0.5%

소재지도로명주소
Text

Distinct84
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:02:21.425031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length19.045045
Min length15

Characters and Unicode

Total characters4228
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)10.8%

Sample

1st row충청남도 논산시 중앙로 473-1
2nd row충청남도 논산시 중앙로 473-1
3rd row충청남도 논산시 해월로 174
4th row충청남도 논산시 해월로 174
5th row충청남도 논산시 해월로 174
ValueCountFrequency (%)
충청남도 222
23.0%
논산시 222
23.0%
계백로 37
 
3.8%
중앙로 30
 
3.1%
연무읍 27
 
2.8%
시민로294번길 26
 
2.7%
14 24
 
2.5%
강경읍 22
 
2.3%
해월로 20
 
2.1%
득안대로 12
 
1.2%
Other values (109) 322
33.4%
2024-01-10T06:02:21.764319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
742
17.5%
시 263
 
6.2%
산 251
 
5.9%
청 226
 
5.3%
논 225
 
5.3%
충 222
 
5.3%
남 222
 
5.3%
도 222
 
5.3%
로 215
 
5.1%
1 188
 
4.4%
Other values (54) 1452
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2617
61.9%
Decimal Number 830
 
19.6%
Space Separator 742
 
17.5%
Dash Punctuation 39
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 263
10.0%
산 251
 
9.6%
청 226
 
8.6%
논 225
 
8.6%
충 222
 
8.5%
남 222
 
8.5%
도 222
 
8.5%
로 215
 
8.2%
길 75
 
2.9%
번 68
 
2.6%
Other values (42) 628
24.0%
Decimal Number
ValueCountFrequency (%)
1 188
22.7%
4 151
18.2%
2 118
14.2%
0 66
 
8.0%
8 62
 
7.5%
9 62
 
7.5%
5 51
 
6.1%
6 49
 
5.9%
3 46
 
5.5%
7 37
 
4.5%
Space Separator
ValueCountFrequency (%)
742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2617
61.9%
Common 1611
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 263
10.0%
산 251
 
9.6%
청 226
 
8.6%
논 225
 
8.6%
충 222
 
8.5%
남 222
 
8.5%
도 222
 
8.5%
로 215
 
8.2%
길 75
 
2.9%
번 68
 
2.6%
Other values (42) 628
24.0%
Common
ValueCountFrequency (%)
742
46.1%
1 188
 
11.7%
4 151
 
9.4%
2 118
 
7.3%
0 66
 
4.1%
8 62
 
3.8%
9 62
 
3.8%
5 51
 
3.2%
6 49
 
3.0%
3 46
 
2.9%
Other values (2) 76
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2617
61.9%
ASCII 1611
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
742
46.1%
1 188
 
11.7%
4 151
 
9.4%
2 118
 
7.3%
0 66
 
4.1%
8 62
 
3.8%
9 62
 
3.8%
5 51
 
3.2%
6 49
 
3.0%
3 46
 
2.9%
Other values (2) 76
 
4.7%
Hangul
ValueCountFrequency (%)
시 263
10.0%
산 251
 
9.6%
청 226
 
8.6%
논 225
 
8.6%
충 222
 
8.5%
남 222
 
8.5%
도 222
 
8.5%
로 215
 
8.2%
길 75
 
2.9%
번 68
 
2.6%
Other values (42) 628
24.0%

소재지지번주소
Text

Distinct84
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:02:22.406006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.117117
Min length16

Characters and Unicode

Total characters4244
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)10.8%

Sample

1st row충청남도 논산시 반월동 159
2nd row충청남도 논산시 반월동 159
3rd row충청남도 논산시 반월동 70-4
4th row충청남도 논산시 반월동 70-4
5th row충청남도 논산시 반월동 70-4
ValueCountFrequency (%)
충청남도 222
23.0%
논산시 222
23.0%
취암동 77
 
8.0%
반월동 39
 
4.0%
연무읍 27
 
2.8%
139-2 24
 
2.5%
강경읍 22
 
2.3%
대흥리 17
 
1.8%
화지동 16
 
1.7%
안심리 13
 
1.3%
Other values (107) 287
29.7%
2024-01-10T06:02:22.829617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
17.5%
산 249
 
5.9%
청 226
 
5.3%
논 222
 
5.2%
시 222
 
5.2%
충 222
 
5.2%
도 222
 
5.2%
남 222
 
5.2%
- 205
 
4.8%
1 202
 
4.8%
Other values (55) 1508
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2448
57.7%
Decimal Number 847
 
20.0%
Space Separator 744
 
17.5%
Dash Punctuation 205
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 249
10.2%
청 226
9.2%
논 222
 
9.1%
시 222
 
9.1%
충 222
 
9.1%
도 222
 
9.1%
남 222
 
9.1%
동 154
 
6.3%
취 77
 
3.1%
암 77
 
3.1%
Other values (43) 555
22.7%
Decimal Number
ValueCountFrequency (%)
1 202
23.8%
3 97
11.5%
2 96
11.3%
6 88
10.4%
4 74
 
8.7%
9 71
 
8.4%
0 66
 
7.8%
7 58
 
6.8%
8 54
 
6.4%
5 41
 
4.8%
Space Separator
ValueCountFrequency (%)
744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2448
57.7%
Common 1796
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 249
10.2%
청 226
9.2%
논 222
 
9.1%
시 222
 
9.1%
충 222
 
9.1%
도 222
 
9.1%
남 222
 
9.1%
동 154
 
6.3%
취 77
 
3.1%
암 77
 
3.1%
Other values (43) 555
22.7%
Common
ValueCountFrequency (%)
744
41.4%
- 205
 
11.4%
1 202
 
11.2%
3 97
 
5.4%
2 96
 
5.3%
6 88
 
4.9%
4 74
 
4.1%
9 71
 
4.0%
0 66
 
3.7%
7 58
 
3.2%
Other values (2) 95
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2448
57.7%
ASCII 1796
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
41.4%
- 205
 
11.4%
1 202
 
11.2%
3 97
 
5.4%
2 96
 
5.3%
6 88
 
4.9%
4 74
 
4.1%
9 71
 
4.0%
0 66
 
3.7%
7 58
 
3.2%
Other values (2) 95
 
5.3%
Hangul
ValueCountFrequency (%)
산 249
10.2%
청 226
9.2%
논 222
 
9.1%
시 222
 
9.1%
충 222
 
9.1%
도 222
 
9.1%
남 222
 
9.1%
동 154
 
6.3%
취 77
 
3.1%
암 77
 
3.1%
Other values (43) 555
22.7%

의료장비명칭
Categorical

Distinct11
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
진단용 엑스선 장치
69 
진단용 엑스선 발생기
51 
치과진단용 엑스선 발생장치
50 
치과용 전산화 단층 촬영장치
19 
유방촬영용장치
13 
Other values (6)
20 

Length

Max length19
Median length15
Mean length11.22973
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row치과진단용 엑스선 발생장치
2nd row치과진단용 엑스선 발생장치
3rd row치과용 전산화 단층 촬영장치
4th row치과진단용 엑스선 발생장치
5th row치과진단용 엑스선 발생장치

Common Values

ValueCountFrequency (%)
진단용 엑스선 장치 69
31.1%
진단용 엑스선 발생기 51
23.0%
치과진단용 엑스선 발생장치 50
22.5%
치과용 전산화 단층 촬영장치 19
 
8.6%
유방촬영용장치 13
 
5.9%
전산화 단층 촬영장치 7
 
3.2%
CT 6
 
2.7%
전신용 엑스선골밀도측정기 2
 
0.9%
MRI 2
 
0.9%
디지털진단용엑스선촬영장치 2
 
0.9%

Length

2024-01-10T06:02:22.981864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 170
26.8%
진단용 120
18.9%
장치 69
10.9%
발생기 51
 
8.0%
치과진단용 50
 
7.9%
발생장치 50
 
7.9%
촬영장치 26
 
4.1%
단층 26
 
4.1%
전산화 26
 
4.1%
치과용 19
 
3.0%
Other values (7) 28
 
4.4%

의료장비모델명칭
Text

Distinct112
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:02:23.219599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length22
Mean length9.5540541
Min length3

Characters and Unicode

Total characters2121
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)29.3%

Sample

1st rowPCH-2500
2nd rowESX
3rd rowPHT-35LHS
4th rowMAX-GLS
5th rowMAX-GLS
ValueCountFrequency (%)
dexxum 22
 
6.6%
t 22
 
6.6%
max-gls 14
 
4.2%
esx 7
 
2.1%
ct 6
 
1.8%
rex-525r 6
 
1.8%
pht-30lfo 6
 
1.8%
point 6
 
1.8%
accuray 5
 
1.5%
3d 5
 
1.5%
Other values (142) 235
70.4%
2024-01-10T06:02:23.608164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
 
6.7%
- 142
 
6.7%
X 141
 
6.6%
112
 
5.3%
D 92
 
4.3%
S 82
 
3.9%
5 79
 
3.7%
R 74
 
3.5%
T 73
 
3.4%
P 70
 
3.3%
Other values (53) 1113
52.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1072
50.5%
Lowercase Letter 396
 
18.7%
Decimal Number 384
 
18.1%
Dash Punctuation 142
 
6.7%
Space Separator 112
 
5.3%
Other Punctuation 7
 
0.3%
Letter Number 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 141
13.2%
D 92
 
8.6%
S 82
 
7.6%
R 74
 
6.9%
T 73
 
6.8%
P 70
 
6.5%
M 67
 
6.2%
A 66
 
6.2%
E 63
 
5.9%
O 45
 
4.2%
Other values (14) 299
27.9%
Lowercase Letter
ValueCountFrequency (%)
o 48
12.1%
a 40
 
10.1%
i 38
 
9.6%
t 27
 
6.8%
e 27
 
6.8%
r 25
 
6.3%
n 23
 
5.8%
m 20
 
5.1%
u 18
 
4.5%
y 17
 
4.3%
Other values (13) 113
28.5%
Decimal Number
ValueCountFrequency (%)
0 143
37.2%
5 79
20.6%
2 52
 
13.5%
3 43
 
11.2%
1 27
 
7.0%
6 14
 
3.6%
8 12
 
3.1%
4 6
 
1.6%
7 4
 
1.0%
9 4
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
/ 3
42.9%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1474
69.5%
Common 647
30.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 141
 
9.6%
D 92
 
6.2%
S 82
 
5.6%
R 74
 
5.0%
T 73
 
5.0%
P 70
 
4.7%
M 67
 
4.5%
A 66
 
4.5%
E 63
 
4.3%
o 48
 
3.3%
Other values (38) 698
47.4%
Common
ValueCountFrequency (%)
0 143
22.1%
- 142
21.9%
112
17.3%
5 79
12.2%
2 52
 
8.0%
3 43
 
6.6%
1 27
 
4.2%
6 14
 
2.2%
8 12
 
1.9%
4 6
 
0.9%
Other values (5) 17
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2115
99.7%
Number Forms 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
 
6.8%
- 142
 
6.7%
X 141
 
6.7%
112
 
5.3%
D 92
 
4.3%
S 82
 
3.9%
5 79
 
3.7%
R 74
 
3.5%
T 73
 
3.5%
P 70
 
3.3%
Other values (52) 1107
52.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2020-03-12 00:00:00
Maximum2020-03-12 00:00:00
2024-01-10T06:02:23.722441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:02:23.812282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T06:02:23.882544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명행정동소재지도로명주소소재지지번주소의료장비명칭
의료기관명1.0001.0001.0001.0000.000
행정동1.0001.0001.0001.0000.114
소재지도로명주소1.0001.0001.0001.0000.000
소재지지번주소1.0001.0001.0001.0000.000
의료장비명칭0.0000.1140.0000.0001.000
2024-01-10T06:02:23.980545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료장비명칭
행정동1.0000.046
의료장비명칭0.0461.000
2024-01-10T06:02:24.060718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료장비명칭
행정동1.0000.046
의료장비명칭0.0461.000

Missing values

2024-01-10T06:02:20.334773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:02:20.444995image/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

의료기관명행정동소재지도로명주소소재지지번주소의료장비명칭의료장비모델명칭데이터기준일자
075플란트신동일치과취암동충청남도 논산시 중앙로 473-1충청남도 논산시 반월동 159치과진단용 엑스선 발생장치PCH-25002020-03-12
175플란트신동일치과취암동충청남도 논산시 중앙로 473-1충청남도 논산시 반월동 159치과진단용 엑스선 발생장치ESX2020-03-12
28020치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4치과용 전산화 단층 촬영장치PHT-35LHS2020-03-12
38020치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4치과진단용 엑스선 발생장치MAX-GLS2020-03-12
48020치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4치과진단용 엑스선 발생장치MAX-GLS2020-03-12
58020치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4치과진단용 엑스선 발생장치ADX 40002020-03-12
6e편한치과의원취암동충청남도 논산시 중앙로 258충청남도 논산시 취암동 83-2치과진단용 엑스선 발생장치Point-X2020-03-12
7e편한치과의원취암동충청남도 논산시 중앙로 258충청남도 논산시 취암동 83-2치과용 전산화 단층 촬영장치Point 3D Combi 5002020-03-12
8가톨릭정형외과취암동충청남도 논산시 계백로 997충청남도 논산시 취암동 606-10진단용 엑스선 발생기DEXXUM T2020-03-12
9가톨릭정형외과취암동충청남도 논산시 계백로 997충청남도 논산시 취암동 606-10진단용 엑스선 장치SIG-40-5252020-03-12
의료기관명행정동소재지도로명주소소재지지번주소의료장비명칭의료장비모델명칭데이터기준일자
212현대정형외과취암동충청남도 논산시 계백로 1026충청남도 논산시 취암동 1039-13진단용 엑스선 발생기OSTEOPRIMA2020-03-12
213현대정형외과취암동충청남도 논산시 계백로 1026충청남도 논산시 취암동 1039-13진단용 엑스선 발생기PROSTAR2020-03-12
214현대정형외과취암동충청남도 논산시 계백로 1026충청남도 논산시 취암동 1039-13진단용 엑스선 장치REX-525R2020-03-12
215현대중앙의원취암동충청남도 논산시 중앙로480번길 21충청남도 논산시 화지동 63-1진단용 엑스선 장치REX-525R2020-03-12
216현대중앙의원취암동충청남도 논산시 중앙로480번길 21충청남도 논산시 화지동 63-1진단용 엑스선 발생기DEXXUM T2020-03-12
217황산의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5진단용 엑스선 장치LX 322020-03-12
218황산의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5진단용 엑스선 발생기DEXXUM T2020-03-12
219황산의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5유방촬영용장치MXR-200M2020-03-12
220황산의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5진단용 엑스선 장치X-1550U2020-03-12
221황산의원취암동충청남도 논산시 중앙로 425충청남도 논산시 취암동 176-5유방촬영용장치MXR-200M2020-03-12

Duplicate rows

Most frequently occurring

의료기관명행정동소재지도로명주소소재지지번주소의료장비명칭의료장비모델명칭데이터기준일자# duplicates
08020치과의원취암동충청남도 논산시 해월로 174충청남도 논산시 반월동 70-4치과진단용 엑스선 발생장치MAX-GLS2020-03-122
1고려병원취암동충청남도 논산시 해월로 151충청남도 논산시 반월동 147-1유방촬영용장치SENOGRAPHE-700T/800T2020-03-122
2김상영내과의원취암동충청남도 논산시 중앙로 274충청남도 논산시 취암동 103-28유방촬영용장치Mammomat 3000 Nova2020-03-122
3논산속편한내과취암동충청남도 논산시 시민로 424충청남도 논산시 취암동 594-1유방촬영용장치ALPHA ST2020-03-122
4대정요양병원상월면충청남도 논산시 상월면 계룡산로237번길 38-60충청남도 논산시 상월면 지경리 69-2유방촬영용장치Pinkview-DR2020-03-122
5백제종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2CTIngenuity CT2020-03-122
6백제종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2유방촬영용장치MX-3002020-03-122
7백제종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2전산화 단층 촬영장치Ingenuity CT2020-03-122
8백제종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2진단용 엑스선 발생기AceMobil-5102020-03-122
9백제종합병원취암동충청남도 논산시 시민로294번길 14충청남도 논산시 취암동 139-2진단용 엑스선 장치AccuRay 650R2020-03-122