Overview

Dataset statistics

Number of variables5
Number of observations438
Missing cells0
Missing cells (%)0.0%
Duplicate rows11
Duplicate rows (%)2.5%
Total size in memory17.2 KiB
Average record size in memory40.3 B

Variable types

Text5

Dataset

Description부산광역시남구진단용방사선발생장치현황_20220613
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051588

Alerts

Dataset has 11 (2.5%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 16:24:30.318900
Analysis finished2023-12-10 16:24:31.018430
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct192
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T01:24:31.263144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length9.216895
Min length4

Characters and Unicode

Total characters4037
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)10.3%

Sample

1st row선한이웃치과의원
2nd row한수치과의원
3rd row도시치과의원
4th row슬기로운내과의원
5th row더조은의원
ValueCountFrequency (%)
의원 37
 
7.1%
의료법인고려의료재단부산고려병원 16
 
3.1%
부산성모병원(재단법인 16
 
3.1%
천주교부산교구유지재단 16
 
3.1%
치과의원 11
 
2.1%
사)대한결핵협회부산광역시지부 10
 
1.9%
복십자의원 10
 
1.9%
부산성소병원 8
 
1.5%
부산미래아이에프씨의원 7
 
1.3%
참좋은치과의원 6
 
1.1%
Other values (191) 385
73.8%
2023-12-11T01:24:31.892786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 440
 
10.9%
의 430
 
10.7%
과 351
 
8.7%
치 244
 
6.0%
부 120
 
3.0%
산 86
 
2.1%
84
 
2.1%
병 64
 
1.6%
이 61
 
1.5%
재 60
 
1.5%
Other values (237) 2097
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3871
95.9%
Space Separator 84
 
2.1%
Open Punctuation 29
 
0.7%
Close Punctuation 29
 
0.7%
Decimal Number 11
 
0.3%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 440
 
11.4%
의 430
 
11.1%
과 351
 
9.1%
치 244
 
6.3%
부 120
 
3.1%
산 86
 
2.2%
병 64
 
1.7%
이 61
 
1.6%
재 60
 
1.5%
대 54
 
1.4%
Other values (223) 1961
50.7%
Decimal Number
ValueCountFrequency (%)
4 4
36.4%
5 3
27.3%
0 2
18.2%
6 1
 
9.1%
3 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
W 3
60.0%
B 1
 
20.0%
H 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 3
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3871
95.9%
Common 159
 
3.9%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 440
 
11.4%
의 430
 
11.1%
과 351
 
9.1%
치 244
 
6.3%
부 120
 
3.1%
산 86
 
2.2%
병 64
 
1.7%
이 61
 
1.6%
재 60
 
1.5%
대 54
 
1.4%
Other values (223) 1961
50.7%
Common
ValueCountFrequency (%)
84
52.8%
( 29
 
18.2%
) 29
 
18.2%
4 4
 
2.5%
5 3
 
1.9%
, 3
 
1.9%
. 3
 
1.9%
0 2
 
1.3%
6 1
 
0.6%
3 1
 
0.6%
Latin
ValueCountFrequency (%)
W 3
42.9%
e 2
28.6%
B 1
 
14.3%
H 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3871
95.9%
ASCII 166
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 440
 
11.4%
의 430
 
11.1%
과 351
 
9.1%
치 244
 
6.3%
부 120
 
3.1%
산 86
 
2.2%
병 64
 
1.7%
이 61
 
1.6%
재 60
 
1.5%
대 54
 
1.4%
Other values (223) 1961
50.7%
ASCII
ValueCountFrequency (%)
84
50.6%
( 29
 
17.5%
) 29
 
17.5%
4 4
 
2.4%
W 3
 
1.8%
5 3
 
1.8%
, 3
 
1.8%
. 3
 
1.8%
0 2
 
1.2%
e 2
 
1.2%
Other values (4) 4
 
2.4%

의료기관주소(도로명)
Text

Distinct190
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T01:24:32.312316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length46
Mean length29.232877
Min length20

Characters and Unicode

Total characters12804
Distinct characters181
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

Unique44 ?
Unique (%)10.0%

Sample

1st row부산광역시 남구 수영로 47 (문현동)
2nd row부산광역시 남구 진남로 6 (대연동)
3rd row부산광역시 남구 수영로 26 (문현동, 시티프라자 230호)
4th row부산광역시 남구 고동골로 16, 2층 (문현동)
5th row부산광역시 남구 수영로 233, 민석빌딩 3,5층 (대연동)
ValueCountFrequency (%)
부산광역시 438
16.2%
남구 438
16.2%
대연동 226
 
8.4%
수영로 200
 
7.4%
용호동 123
 
4.6%
용호로 72
 
2.7%
문현동 60
 
2.2%
2층 53
 
2.0%
3층 43
 
1.6%
분포로 24
 
0.9%
Other values (295) 1019
37.8%
2023-12-11T01:24:32.946096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2261
 
17.7%
동 490
 
3.8%
부 463
 
3.6%
시 455
 
3.6%
로 450
 
3.5%
남 445
 
3.5%
산 444
 
3.5%
) 442
 
3.5%
( 442
 
3.5%
구 438
 
3.4%
Other values (171) 6474
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7141
55.8%
Space Separator 2261
 
17.7%
Decimal Number 1956
 
15.3%
Close Punctuation 442
 
3.5%
Open Punctuation 442
 
3.5%
Other Punctuation 415
 
3.2%
Uppercase Letter 78
 
0.6%
Dash Punctuation 50
 
0.4%
Math Symbol 11
 
0.1%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 490
 
6.9%
부 463
 
6.5%
시 455
 
6.4%
로 450
 
6.3%
남 445
 
6.2%
산 444
 
6.2%
구 438
 
6.1%
역 438
 
6.1%
광 438
 
6.1%
호 312
 
4.4%
Other values (136) 2768
38.8%
Uppercase Letter
ValueCountFrequency (%)
M 13
16.7%
S 12
15.4%
G 12
15.4%
A 8
10.3%
B 7
9.0%
K 5
 
6.4%
I 4
 
5.1%
P 3
 
3.8%
W 2
 
2.6%
E 2
 
2.6%
Other values (5) 10
12.8%
Decimal Number
ValueCountFrequency (%)
2 386
19.7%
1 336
17.2%
3 293
15.0%
0 198
10.1%
4 190
9.7%
5 164
8.4%
7 104
 
5.3%
9 99
 
5.1%
6 97
 
5.0%
8 89
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
l 4
50.0%
i 2
25.0%
s 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 413
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 442
100.0%
Open Punctuation
ValueCountFrequency (%)
( 442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7141
55.8%
Common 5577
43.6%
Latin 86
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 490
 
6.9%
부 463
 
6.5%
시 455
 
6.4%
로 450
 
6.3%
남 445
 
6.2%
산 444
 
6.2%
구 438
 
6.1%
역 438
 
6.1%
광 438
 
6.1%
호 312
 
4.4%
Other values (136) 2768
38.8%
Latin
ValueCountFrequency (%)
M 13
15.1%
S 12
14.0%
G 12
14.0%
A 8
9.3%
B 7
8.1%
K 5
 
5.8%
l 4
 
4.7%
I 4
 
4.7%
P 3
 
3.5%
W 2
 
2.3%
Other values (8) 16
18.6%
Common
ValueCountFrequency (%)
2261
40.5%
) 442
 
7.9%
( 442
 
7.9%
, 413
 
7.4%
2 386
 
6.9%
1 336
 
6.0%
3 293
 
5.3%
0 198
 
3.6%
4 190
 
3.4%
5 164
 
2.9%
Other values (7) 452
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7141
55.8%
ASCII 5663
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2261
39.9%
) 442
 
7.8%
( 442
 
7.8%
, 413
 
7.3%
2 386
 
6.8%
1 336
 
5.9%
3 293
 
5.2%
0 198
 
3.5%
4 190
 
3.4%
5 164
 
2.9%
Other values (25) 538
 
9.5%
Hangul
ValueCountFrequency (%)
동 490
 
6.9%
부 463
 
6.5%
시 455
 
6.4%
로 450
 
6.3%
남 445
 
6.2%
산 444
 
6.2%
구 438
 
6.1%
역 438
 
6.1%
광 438
 
6.1%
호 312
 
4.4%
Other values (136) 2768
38.8%

전화번호
Text

Distinct193
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T01:24:33.258381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5256
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

Unique45 ?
Unique (%)10.3%

Sample

1st row051-643-2875
2nd row051-625-8655
3rd row051-643-2030
4th row051-645-3388
5th row051-865-9393
ValueCountFrequency (%)
051-933-7114 16
 
3.7%
051-930-3000 16
 
3.7%
051-611-3622 10
 
2.3%
051-633-1123 8
 
1.8%
051-710-2000 7
 
1.6%
051-624-0600 6
 
1.4%
051-622-7575 6
 
1.4%
051-637-7528 5
 
1.1%
051-643-2875 5
 
1.1%
051-643-2030 5
 
1.1%
Other values (183) 354
80.8%
2023-12-11T01:24:33.717124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 876
16.7%
0 750
14.3%
1 731
13.9%
5 666
12.7%
2 546
10.4%
6 465
8.8%
7 359
6.8%
8 287
 
5.5%
3 265
 
5.0%
4 158
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4380
83.3%
Dash Punctuation 876
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 750
17.1%
1 731
16.7%
5 666
15.2%
2 546
12.5%
6 465
10.6%
7 359
8.2%
8 287
 
6.6%
3 265
 
6.1%
4 158
 
3.6%
9 153
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 876
16.7%
0 750
14.3%
1 731
13.9%
5 666
12.7%
2 546
10.4%
6 465
8.8%
7 359
6.8%
8 287
 
5.5%
3 265
 
5.0%
4 158
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 876
16.7%
0 750
14.3%
1 731
13.9%
5 666
12.7%
2 546
10.4%
6 465
8.8%
7 359
6.8%
8 287
 
5.5%
3 265
 
5.0%
4 158
 
3.0%

장치모델명
Text

Distinct196
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T01:24:34.137119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length39
Mean length9.6826484
Min length2

Characters and Unicode

Total characters4241
Distinct characters79
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)27.4%

Sample

1st rowPROX
2nd rowNR-F100
3rd rowN1
4th rowMX-600
5th rowPROSTAR
ValueCountFrequency (%)
point 19
 
2.9%
3d 19
 
2.9%
combi 16
 
2.4%
vex-p300 14
 
2.1%
pht-35lhs 14
 
2.1%
dexxum 13
 
2.0%
t 13
 
2.0%
pht-30lfo 12
 
1.8%
max-gls 12
 
1.8%
accuray 11
 
1.7%
Other values (245) 514
78.2%
2023-12-11T01:24:34.624956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 307
 
7.2%
- 274
 
6.5%
219
 
5.2%
X 207
 
4.9%
S 170
 
4.0%
P 163
 
3.8%
R 141
 
3.3%
D 140
 
3.3%
E 135
 
3.2%
o 126
 
3.0%
Other values (69) 2359
55.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2014
47.5%
Lowercase Letter 952
22.4%
Decimal Number 736
 
17.4%
Dash Punctuation 274
 
6.5%
Space Separator 219
 
5.2%
Other Letter 15
 
0.4%
Other Punctuation 8
 
0.2%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Letter Number 6
 
0.1%
Other values (2) 3
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 207
 
10.3%
S 170
 
8.4%
P 163
 
8.1%
R 141
 
7.0%
D 140
 
7.0%
E 135
 
6.7%
T 120
 
6.0%
A 114
 
5.7%
O 102
 
5.1%
C 85
 
4.2%
Other values (16) 637
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 126
13.2%
i 121
12.7%
a 79
 
8.3%
e 71
 
7.5%
m 60
 
6.3%
n 60
 
6.3%
r 57
 
6.0%
t 55
 
5.8%
s 52
 
5.5%
c 51
 
5.4%
Other values (15) 220
23.1%
Decimal Number
ValueCountFrequency (%)
0 307
41.7%
5 125
17.0%
3 97
 
13.2%
2 67
 
9.1%
1 60
 
8.2%
6 28
 
3.8%
4 22
 
3.0%
8 12
 
1.6%
9 10
 
1.4%
7 8
 
1.1%
Other Letter
ValueCountFrequency (%)
제 4
26.7%
우 4
26.7%
스 4
26.7%
표 1
 
6.7%
시 1
 
6.7%
무 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
, 1
 
12.5%
& 1
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2971
70.1%
Common 1254
29.6%
Hangul 15
 
0.4%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 207
 
7.0%
S 170
 
5.7%
P 163
 
5.5%
R 141
 
4.7%
D 140
 
4.7%
E 135
 
4.5%
o 126
 
4.2%
i 121
 
4.1%
T 120
 
4.0%
A 114
 
3.8%
Other values (42) 1534
51.6%
Common
ValueCountFrequency (%)
0 307
24.5%
- 274
21.9%
219
17.5%
5 125
10.0%
3 97
 
7.7%
2 67
 
5.3%
1 60
 
4.8%
6 28
 
2.2%
4 22
 
1.8%
8 12
 
1.0%
Other values (10) 43
 
3.4%
Hangul
ValueCountFrequency (%)
제 4
26.7%
우 4
26.7%
스 4
26.7%
표 1
 
6.7%
시 1
 
6.7%
무 1
 
6.7%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4218
99.5%
Hangul 15
 
0.4%
Number Forms 6
 
0.1%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 307
 
7.3%
- 274
 
6.5%
219
 
5.2%
X 207
 
4.9%
S 170
 
4.0%
P 163
 
3.9%
R 141
 
3.3%
D 140
 
3.3%
E 135
 
3.2%
o 126
 
3.0%
Other values (59) 2336
55.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%
Hangul
ValueCountFrequency (%)
제 4
26.7%
우 4
26.7%
스 4
26.7%
표 1
 
6.7%
시 1
 
6.7%
무 1
 
6.7%
None
ValueCountFrequency (%)
α 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

장치형식명
Text

Distinct142
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T01:24:34.862110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length10.479452
Min length6

Characters and Unicode

Total characters4590
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)18.3%

Sample

1st rowHR-2-60
2nd rowHR-2-70
3rd rowHR-3-70
4th rowMHR-100-39
5th rowHRF-20-110
ValueCountFrequency (%)
r-500-125 43
 
9.8%
hr-2-60 22
 
5.0%
hr-2-70 21
 
4.8%
d-10-60 19
 
4.3%
cbct(p)-16-99 18
 
4.1%
r-630-150 13
 
3.0%
cbct(p)-10-90 11
 
2.5%
cbct(pc)-16-99 10
 
2.3%
hrf-20-110 9
 
2.1%
bhr-1.5-83 9
 
2.1%
Other values (132) 263
60.0%
2023-12-11T01:24:35.244911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 962
21.0%
0 671
14.6%
1 439
9.6%
R 286
 
6.2%
5 242
 
5.3%
C 227
 
4.9%
6 194
 
4.2%
H 192
 
4.2%
2 186
 
4.1%
P 142
 
3.1%
Other values (17) 1049
22.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2098
45.7%
Uppercase Letter 1240
27.0%
Dash Punctuation 962
21.0%
Close Punctuation 126
 
2.7%
Open Punctuation 126
 
2.7%
Other Punctuation 38
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 286
23.1%
C 227
18.3%
H 192
15.5%
P 142
11.5%
B 122
9.8%
T 102
 
8.2%
D 85
 
6.9%
F 58
 
4.7%
M 16
 
1.3%
W 6
 
0.5%
Other values (3) 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 671
32.0%
1 439
20.9%
5 242
 
11.5%
6 194
 
9.2%
2 186
 
8.9%
9 130
 
6.2%
3 101
 
4.8%
7 53
 
2.5%
8 48
 
2.3%
4 34
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 962
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3350
73.0%
Latin 1240
 
27.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 962
28.7%
0 671
20.0%
1 439
13.1%
5 242
 
7.2%
6 194
 
5.8%
2 186
 
5.6%
9 130
 
3.9%
) 126
 
3.8%
( 126
 
3.8%
3 101
 
3.0%
Other values (4) 173
 
5.2%
Latin
ValueCountFrequency (%)
R 286
23.1%
C 227
18.3%
H 192
15.5%
P 142
11.5%
B 122
9.8%
T 102
 
8.2%
D 85
 
6.9%
F 58
 
4.7%
M 16
 
1.3%
W 6
 
0.5%
Other values (3) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 962
21.0%
0 671
14.6%
1 439
9.6%
R 286
 
6.2%
5 242
 
5.3%
C 227
 
4.9%
6 194
 
4.2%
H 192
 
4.2%
2 186
 
4.1%
P 142
 
3.1%
Other values (17) 1049
22.9%

Missing values

2023-12-11T01:24:30.763579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:24:30.964675image/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

의료기관명의료기관주소(도로명)전화번호장치모델명장치형식명
0선한이웃치과의원부산광역시 남구 수영로 47 (문현동)051-643-2875PROXHR-2-60
1한수치과의원부산광역시 남구 진남로 6 (대연동)051-625-8655NR-F100HR-2-70
2도시치과의원부산광역시 남구 수영로 26 (문현동, 시티프라자 230호)051-643-2030N1HR-3-70
3슬기로운내과의원부산광역시 남구 고동골로 16, 2층 (문현동)051-645-3388MX-600MHR-100-39
4더조은의원부산광역시 남구 수영로 233, 민석빌딩 3,5층 (대연동)051-865-9393PROSTARHRF-20-110
5부산성소병원부산광역시 남구 수영로 175 (대연동, SMG빌딩)051-633-1123AMX 4 Plus Mobile X-Ray SystemHR-100-125
6대연탑비뇨의학과의원부산광역시 남구 수영로 240, 정성약국 3층 (대연동)051-612-1141RifleHF-4-110
7대연탑비뇨의학과의원부산광역시 남구 수영로 240, 정성약국 3층 (대연동)051-612-1141JUMONG GENERAL PROR-500-125
8인애치과의원부산광역시 남구 못골로 73 (대연동, 2층)051-622-8582VEX-S300CD-3-65
9윤현기정형외과의원부산광역시 남구 고동골로 16 (문현동)051-644-8275SIG-40-525R-500-125
의료기관명의료기관주소(도로명)전화번호장치모델명장치형식명
428수부부치과의원부산광역시 남구 수영로 298, 5층 (대연동, 선암빌딩)051-628-8020제우스ZEUSD-10-60
429참좋은치과의원부산광역시 남구 수영로 204, 1,2층 (대연동)051-622-7575제우스 ZEUSD-10-60
430허문회치과의원부산광역시 남구 홍곡로 12 (감만동)051-637-3080ORTHOPHOS 3CDPC-11-80
431배성범정형외과의원부산광역시 남구 우암로 100 (감만동)051-637-8275DXGH525-R-RSR-500-125
432대연성모병원부산광역시 남구 황령대로353번길 66 (대연동)051-621-2312AC-30R-300-100
433서민정형외과의원부산광역시 남구 용호로 132-1 (용호동)051-621-7890DXG-525AR-500-125
434이정형외과의원부산광역시 남구 용호로 173 (용호동)051-622-2727DXG-325R-RSR-300-125
435김우진 치과의원부산광역시 남구 용호로 88 (용호동, 명진빌딩 6층)051-621-2875DS-SD-10-60
436손내과의원부산광역시 남구 석포로 123 (대연동)051-627-2626DA-100R-100-100
437김용대정형외과의원부산광역시 남구 석포로 130 (대연동)051-622-0024표시무R-300-100

Duplicate rows

Most frequently occurring

의료기관명의료기관주소(도로명)전화번호장치모델명장치형식명# duplicates
0(사)대한결핵협회부산광역시지부 복십자의원부산광역시 남구 수영로 299 (대연동)051-611-3622DigiRAD-PGR-630-1503
8의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)051-930-3000INNOVISION-EXIIR-630-1503
1(사)대한결핵협회부산광역시지부 복십자의원부산광역시 남구 수영로 299 (대연동)051-611-3622Mine2.7HR-2-702
2로덴치과의원(경성대,부경대점)부산광역시 남구 용소로 7 (대연동, 청라빌딩 5,6층)051-989-2875Easy-RayHR-2-602
3부산미래아이에프씨의원부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)051-710-2000Discovery CiBHR-10-1402
4부산샬롬치과의원부산광역시 남구 수영로 27 (문현동)051-637-7528VEX-P300HR-2.5-652
5부산성모병원(재단법인 천주교부산교구유지재단)부산광역시 남구 용호로232번길 25-14 (용호동)051-933-7114Ziehm VisionHRF-20-110(HF-10-110)2
6온누리메디칼의원부산광역시 남구 용호로 64, 중앙해수월드 3,4층층 (용호동)051-624-0600PROSTARHRF-20-110(HF-4-110)2
7의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)051-930-3000INNOVISION-DXIIR-630-1502
9의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)051-930-3000Ziehm 8000HRF-20-110(HF-8-110)2