Overview

Dataset statistics

Number of variables5
Number of observations454
Missing cells0
Missing cells (%)0.0%
Duplicate rows11
Duplicate rows (%)2.4%
Total size in memory17.9 KiB
Average record size in memory40.3 B

Variable types

Text5

Dataset

Description부산광역시남구진단용방사선발생장치현황_20230413
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051588

Alerts

Dataset has 11 (2.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 16:24:23.160323
Analysis finished2023-12-10 16:24:23.895890
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct200
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T01:24:24.199953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.4229075
Min length4

Characters and Unicode

Total characters4278
Distinct characters259
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

Unique52 ?
Unique (%)11.5%

Sample

1st row의료법인고려의료재단부산고려병원
2nd row의료법인정화의료재단봉생힐링병원
3rd row의료법인정화의료재단봉생힐링병원
4th row의료법인정화의료재단봉생힐링병원
5th row용호메트로마취통증의학과의원
ValueCountFrequency (%)
의원 34
 
6.3%
의료법인고려의료재단부산고려병원 17
 
3.2%
천주교부산교구유지재단 16
 
3.0%
부산성모병원(재단법인 16
 
3.0%
사)대한결핵협회부산광역시지부 12
 
2.2%
복십자의원 12
 
2.2%
치과의원 11
 
2.0%
부산미래아이에프씨의원 7
 
1.3%
부산성소병원 7
 
1.3%
온누리메디칼의원 7
 
1.3%
Other values (200) 399
74.2%
2023-12-11T01:24:24.843797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
 
10.8%
456
 
10.7%
360
 
8.4%
240
 
5.6%
123
 
2.9%
88
 
2.1%
84
 
2.0%
66
 
1.5%
64
 
1.5%
63
 
1.5%
Other values (249) 2273
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4104
95.9%
Space Separator 84
 
2.0%
Open Punctuation 31
 
0.7%
Close Punctuation 31
 
0.7%
Decimal Number 15
 
0.4%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
461
 
11.2%
456
 
11.1%
360
 
8.8%
240
 
5.8%
123
 
3.0%
88
 
2.1%
66
 
1.6%
64
 
1.6%
63
 
1.5%
61
 
1.5%
Other values (234) 2122
51.7%
Decimal Number
ValueCountFrequency (%)
4 4
26.7%
8 4
26.7%
5 3
20.0%
0 2
13.3%
6 1
 
6.7%
3 1
 
6.7%
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 (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4104
95.9%
Common 167
 
3.9%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
461
 
11.2%
456
 
11.1%
360
 
8.8%
240
 
5.8%
123
 
3.0%
88
 
2.1%
66
 
1.6%
64
 
1.6%
63
 
1.5%
61
 
1.5%
Other values (234) 2122
51.7%
Common
ValueCountFrequency (%)
84
50.3%
( 31
 
18.6%
) 31
 
18.6%
4 4
 
2.4%
8 4
 
2.4%
5 3
 
1.8%
. 3
 
1.8%
, 3
 
1.8%
0 2
 
1.2%
6 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 4104
95.9%
ASCII 174
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
461
 
11.2%
456
 
11.1%
360
 
8.8%
240
 
5.8%
123
 
3.0%
88
 
2.1%
66
 
1.6%
64
 
1.6%
63
 
1.5%
61
 
1.5%
Other values (234) 2122
51.7%
ASCII
ValueCountFrequency (%)
84
48.3%
( 31
 
17.8%
) 31
 
17.8%
4 4
 
2.3%
8 4
 
2.3%
W 3
 
1.7%
5 3
 
1.7%
. 3
 
1.7%
, 3
 
1.7%
0 2
 
1.1%
Other values (5) 6
 
3.4%
Distinct198
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T01:24:25.297292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length46
Mean length29.444934
Min length20

Characters and Unicode

Total characters13368
Distinct characters180
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

Unique51 ?
Unique (%)11.2%

Sample

1st row부산광역시 남구 수영로 238 (대연동)
2nd row부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)
3rd row부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)
4th row부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)
5th row부산광역시 남구 용호로 48, 대성빌딩 일부2층,3,5층 (용호동)
ValueCountFrequency (%)
부산광역시 454
16.1%
남구 454
16.1%
대연동 236
 
8.4%
수영로 209
 
7.4%
용호동 128
 
4.5%
용호로 77
 
2.7%
문현동 61
 
2.2%
2층 55
 
2.0%
3층 51
 
1.8%
분포로 23
 
0.8%
Other values (308) 1068
37.9%
2023-12-11T01:24:25.903264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2365
 
17.7%
507
 
3.8%
480
 
3.6%
470
 
3.5%
465
 
3.5%
464
 
3.5%
460
 
3.4%
( 458
 
3.4%
) 458
 
3.4%
454
 
3.4%
Other values (170) 6787
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7432
55.6%
Space Separator 2365
 
17.7%
Decimal Number 2063
 
15.4%
Open Punctuation 458
 
3.4%
Close Punctuation 458
 
3.4%
Other Punctuation 448
 
3.4%
Uppercase Letter 75
 
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 (%)
507
 
6.8%
480
 
6.5%
470
 
6.3%
465
 
6.3%
464
 
6.2%
460
 
6.2%
454
 
6.1%
454
 
6.1%
454
 
6.1%
329
 
4.4%
Other values (135) 2895
39.0%
Uppercase Letter
ValueCountFrequency (%)
M 12
16.0%
S 11
14.7%
G 11
14.7%
A 8
10.7%
B 7
9.3%
K 5
6.7%
I 4
 
5.3%
P 3
 
4.0%
V 2
 
2.7%
F 2
 
2.7%
Other values (5) 10
13.3%
Decimal Number
ValueCountFrequency (%)
2 406
19.7%
1 353
17.1%
3 320
15.5%
4 205
9.9%
0 203
9.8%
5 170
8.2%
7 108
 
5.2%
6 104
 
5.0%
9 103
 
5.0%
8 91
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
l 4
50.0%
i 2
25.0%
s 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 446
99.6%
. 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7432
55.6%
Common 5853
43.8%
Latin 83
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
507
 
6.8%
480
 
6.5%
470
 
6.3%
465
 
6.3%
464
 
6.2%
460
 
6.2%
454
 
6.1%
454
 
6.1%
454
 
6.1%
329
 
4.4%
Other values (135) 2895
39.0%
Latin
ValueCountFrequency (%)
M 12
14.5%
S 11
13.3%
G 11
13.3%
A 8
9.6%
B 7
8.4%
K 5
 
6.0%
l 4
 
4.8%
I 4
 
4.8%
P 3
 
3.6%
V 2
 
2.4%
Other values (8) 16
19.3%
Common
ValueCountFrequency (%)
2365
40.4%
( 458
 
7.8%
) 458
 
7.8%
, 446
 
7.6%
2 406
 
6.9%
1 353
 
6.0%
3 320
 
5.5%
4 205
 
3.5%
0 203
 
3.5%
5 170
 
2.9%
Other values (7) 469
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7432
55.6%
ASCII 5936
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2365
39.8%
( 458
 
7.7%
) 458
 
7.7%
, 446
 
7.5%
2 406
 
6.8%
1 353
 
5.9%
3 320
 
5.4%
4 205
 
3.5%
0 203
 
3.4%
5 170
 
2.9%
Other values (25) 552
 
9.3%
Hangul
ValueCountFrequency (%)
507
 
6.8%
480
 
6.5%
470
 
6.3%
465
 
6.3%
464
 
6.2%
460
 
6.2%
454
 
6.1%
454
 
6.1%
454
 
6.1%
329
 
4.4%
Other values (135) 2895
39.0%
Distinct195
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T01:24:26.302693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length9.6013216
Min length2

Characters and Unicode

Total characters4359
Distinct characters80
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

Unique114 ?
Unique (%)25.1%

Sample

1st rowELMO-MX8
2nd rowINNOVISION-DXII
3rd rowProdigy Advance
4th rowINNOSTAR
5th rowZEN-2090 Turbo
ValueCountFrequency (%)
pht-35lhs 17
 
2.5%
point 17
 
2.5%
3d 17
 
2.5%
vex-p300 15
 
2.2%
combi 14
 
2.1%
t 13
 
1.9%
dexxum 13
 
1.9%
pht-30lfo 12
 
1.8%
accuray 11
 
1.6%
nr-f100 10
 
1.5%
Other values (240) 529
79.2%
2023-12-11T01:24:26.878428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 312
 
7.2%
- 292
 
6.7%
214
 
4.9%
X 213
 
4.9%
S 184
 
4.2%
P 159
 
3.6%
R 156
 
3.6%
E 149
 
3.4%
D 139
 
3.2%
5 130
 
3.0%
Other values (70) 2411
55.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2144
49.2%
Lowercase Letter 904
20.7%
Decimal Number 769
 
17.6%
Dash Punctuation 292
 
6.7%
Space Separator 214
 
4.9%
Other Letter 12
 
0.3%
Letter Number 7
 
0.2%
Other Punctuation 7
 
0.2%
Math Symbol 3
 
0.1%
Open Punctuation 3
 
0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 213
 
9.9%
S 184
 
8.6%
P 159
 
7.4%
R 156
 
7.3%
E 149
 
6.9%
D 139
 
6.5%
T 129
 
6.0%
A 117
 
5.5%
O 111
 
5.2%
I 98
 
4.6%
Other values (16) 689
32.1%
Lowercase Letter
ValueCountFrequency (%)
i 116
12.8%
o 113
12.5%
a 77
 
8.5%
e 68
 
7.5%
m 58
 
6.4%
r 56
 
6.2%
n 55
 
6.1%
c 52
 
5.8%
t 50
 
5.5%
s 47
 
5.2%
Other values (16) 212
23.5%
Decimal Number
ValueCountFrequency (%)
0 312
40.6%
5 130
16.9%
3 99
 
12.9%
2 75
 
9.8%
1 63
 
8.2%
6 30
 
3.9%
4 26
 
3.4%
8 13
 
1.7%
9 12
 
1.6%
7 9
 
1.2%
Other Letter
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 3
42.9%
. 2
28.6%
& 1
 
14.3%
, 1
 
14.3%
Letter Number
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3054
70.1%
Common 1292
29.6%
Hangul 12
 
0.3%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 213
 
7.0%
S 184
 
6.0%
P 159
 
5.2%
R 156
 
5.1%
E 149
 
4.9%
D 139
 
4.6%
T 129
 
4.2%
A 117
 
3.8%
i 116
 
3.8%
o 113
 
3.7%
Other values (43) 1579
51.7%
Common
ValueCountFrequency (%)
0 312
24.1%
- 292
22.6%
214
16.6%
5 130
10.1%
3 99
 
7.7%
2 75
 
5.8%
1 63
 
4.9%
6 30
 
2.3%
4 26
 
2.0%
8 13
 
1.0%
Other values (10) 38
 
2.9%
Hangul
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4338
99.5%
Hangul 12
 
0.3%
Number Forms 7
 
0.2%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 312
 
7.2%
- 292
 
6.7%
214
 
4.9%
X 213
 
4.9%
S 184
 
4.2%
P 159
 
3.7%
R 156
 
3.6%
E 149
 
3.4%
D 139
 
3.2%
5 130
 
3.0%
Other values (60) 2390
55.1%
Number Forms
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Hangul
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
1
 
8.3%
1
 
8.3%
1
 
8.3%
None
ValueCountFrequency (%)
α 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct140
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T01:24:27.121220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length10.495595
Min length6

Characters and Unicode

Total characters4765
Distinct characters26
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 (%)17.6%

Sample

1st rowHR-400-133
2nd rowR-630-150
3rd rowBHR-3-76
4th rowHRF-100-125(HF-20-125)
5th rowHRF-20-110
ValueCountFrequency (%)
r-500-125 52
 
11.5%
hr-2-70 23
 
5.1%
cbct(p)-16-99 21
 
4.6%
hr-2-60 19
 
4.2%
d-10-60 15
 
3.3%
r-630-150 14
 
3.1%
cbct(p)-10-90 12
 
2.6%
hrf-20-110 11
 
2.4%
cbct(pc)-16-99 11
 
2.4%
bhr-1.5-83 9
 
2.0%
Other values (130) 267
58.8%
2023-12-11T01:24:27.493077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 992
20.8%
0 683
14.3%
1 460
9.7%
R 303
 
6.4%
5 269
 
5.6%
C 237
 
5.0%
H 206
 
4.3%
2 200
 
4.2%
6 195
 
4.1%
9 137
 
2.9%
Other values (16) 1083
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2190
46.0%
Uppercase Letter 1283
26.9%
Dash Punctuation 992
20.8%
Close Punctuation 130
 
2.7%
Open Punctuation 130
 
2.7%
Other Punctuation 40
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 303
23.6%
C 237
18.5%
H 206
16.1%
P 134
10.4%
B 130
10.1%
T 106
 
8.3%
D 75
 
5.8%
F 64
 
5.0%
M 18
 
1.4%
W 7
 
0.5%
Other values (2) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 683
31.2%
1 460
21.0%
5 269
 
12.3%
2 200
 
9.1%
6 195
 
8.9%
9 137
 
6.3%
3 109
 
5.0%
7 58
 
2.6%
8 42
 
1.9%
4 37
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 992
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Other Punctuation
ValueCountFrequency (%)
. 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3482
73.1%
Latin 1283
 
26.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 992
28.5%
0 683
19.6%
1 460
13.2%
5 269
 
7.7%
2 200
 
5.7%
6 195
 
5.6%
9 137
 
3.9%
) 130
 
3.7%
( 130
 
3.7%
3 109
 
3.1%
Other values (4) 177
 
5.1%
Latin
ValueCountFrequency (%)
R 303
23.6%
C 237
18.5%
H 206
16.1%
P 134
10.4%
B 130
10.1%
T 106
 
8.3%
D 75
 
5.8%
F 64
 
5.0%
M 18
 
1.4%
W 7
 
0.5%
Other values (2) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 992
20.8%
0 683
14.3%
1 460
9.7%
R 303
 
6.4%
5 269
 
5.6%
C 237
 
5.0%
H 206
 
4.3%
2 200
 
4.2%
6 195
 
4.1%
9 137
 
2.9%
Other values (16) 1083
22.7%
Distinct204
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-11T01:24:27.766850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.079295
Min length8

Characters and Unicode

Total characters5484
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)12.3%

Sample

1st row051-930-3000
2nd row051-668-6000
3rd row051-668-6000
4th row051-668-6000
5th row051-923-9988
ValueCountFrequency (%)
051-930-3000 17
 
3.7%
051-933-7114 16
 
3.5%
051-611-3622 12
 
2.6%
051-633-1123~5 7
 
1.5%
051-624-0600 7
 
1.5%
051-710-2000 7
 
1.5%
051-622-7575 6
 
1.3%
051-643-2875 5
 
1.1%
051-637-7528 5
 
1.1%
051-643-2030 5
 
1.1%
Other values (194) 367
80.8%
2023-12-11T01:24:28.192360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 902
16.4%
0 796
14.5%
1 772
14.1%
5 695
12.7%
2 548
10.0%
6 470
8.6%
7 373
6.8%
8 297
 
5.4%
3 276
 
5.0%
9 165
 
3.0%
Other values (4) 190
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4556
83.1%
Dash Punctuation 902
 
16.4%
Math Symbol 20
 
0.4%
Close Punctuation 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 796
17.5%
1 772
16.9%
5 695
15.3%
2 548
12.0%
6 470
10.3%
7 373
8.2%
8 297
 
6.5%
3 276
 
6.1%
9 165
 
3.6%
4 164
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 902
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 902
16.4%
0 796
14.5%
1 772
14.1%
5 695
12.7%
2 548
10.0%
6 470
8.6%
7 373
6.8%
8 297
 
5.4%
3 276
 
5.0%
9 165
 
3.0%
Other values (4) 190
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 902
16.4%
0 796
14.5%
1 772
14.1%
5 695
12.7%
2 548
10.0%
6 470
8.6%
7 373
6.8%
8 297
 
5.4%
3 276
 
5.0%
9 165
 
3.0%
Other values (4) 190
 
3.5%

Missing values

2023-12-11T01:24:23.677006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:24:23.838576image/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)장치모델명장치형식명전화번호
0의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)ELMO-MX8HR-400-133051-930-3000
1의료법인정화의료재단봉생힐링병원부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)INNOVISION-DXIIR-630-150051-668-6000
2의료법인정화의료재단봉생힐링병원부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)Prodigy AdvanceBHR-3-76051-668-6000
3의료법인정화의료재단봉생힐링병원부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)INNOSTARHRF-100-125(HF-20-125)051-668-6000
4용호메트로마취통증의학과의원부산광역시 남구 용호로 48, 대성빌딩 일부2층,3,5층 (용호동)ZEN-2090 TurboHRF-20-110051-923-9988
5리온의원부산광역시 남구 수영로 364, 6층 (대연동)EXSys PlusR-500-125051-626-8253
6김현지키움소아청소년과의원부산광역시 남구 수영로 260, 3층 311,312호 (대연동, 대연백리명가에덴)FOREXIA-H3R-500-125051-711-6241
7지명철치과 의원부산광역시 남구 용호로 233 (용호동)PHT-65LHSCBCT(PC)-16-99051-627-6797
8지명철치과 의원부산광역시 남구 용호로 233 (용호동)VEX-S300CD-3-65051-627-6797
9심은희내과의원부산광역시 남구 수영로 241, 위대항병원 3층 (대연동)PLANMED SOPHIE CLASSICMHR-110-35051-928-3301
의료기관명의료기관주소(도로명)장치모델명장치형식명전화번호
444김진규내과의원부산광역시 남구 고동골로78번길 12 (문현동)DXGH325-R-RSR-100-100051-643-7666
445한빛내과의원부산광역시 남구 전포대로 69, 2층 (문현동)CST-21HFHR-30-125051-645-6566
446참좋은치과의원부산광역시 남구 수영로 204, 1,2층 (대연동)제우스 ZEUSD-10-60051-622-7575
447허문회치과의원부산광역시 남구 홍곡로 12 (감만동)ORTHOPHOS 3CDPC-11-80051-637-3080
448배성범정형외과의원부산광역시 남구 우암로 100 (감만동)DXGH525-R-RSR-500-125051-637-8275
449대연성모병원부산광역시 남구 황령대로353번길 66 (대연동)AC-30R-300-100051-621-2312
450서민정형외과의원부산광역시 남구 용호로 132-1 (용호동)DXG-525AR-500-125051-621-7890
451이정형외과의원부산광역시 남구 용호로 173 (용호동)DXG-325R-RSR-300-125051-622-2727
452김우진 치과의원부산광역시 남구 용호로 88 (용호동, 명진빌딩 6층)DS-SD-10-60051-621-2875
453김용대정형외과의원부산광역시 남구 석포로 130 (대연동)표시무R-300-100051-622-0024

Duplicate rows

Most frequently occurring

의료기관명의료기관주소(도로명)장치모델명장치형식명전화번호# duplicates
0(사)대한결핵협회부산광역시지부 복십자의원부산광역시 남구 수영로 299 (대연동)DigiRAD-PGR-630-150051-611-36223
8의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)INNOVISION-EXIIR-630-150051-930-30003
1(사)대한결핵협회부산광역시지부 복십자의원부산광역시 남구 수영로 299 (대연동)Mine2.7HR-2-70051-611-36222
2로덴치과의원(경성대,부경대점)부산광역시 남구 용소로 7 (대연동, 청라빌딩 5,6층)Easy-RayHR-2-60051-989-2875~62
3부산미래아이에프씨의원부산광역시 남구 전포대로 133, 3,4층일부층 (문현동)Discovery CiBHR-10-140051-710-20002
4부산샬롬치과의원부산광역시 남구 수영로 27 (문현동)VEX-P300HR-2.5-65051-637-75282
5온누리메디칼의원부산광역시 남구 용호로 64, 중앙해수월드 3,4층층 (용호동)PROSTARHRF-20-110(HF-4-110)051-624-06002
6용호메트로마취통증의학과의원부산광역시 남구 용호로 48, 대성빌딩 일부2층,3,5층 (용호동)ZEN-2090 TurboHRF-20-110051-923-99882
7의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)INNOVISION-DXIIR-630-150051-930-30002
9의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)Ziehm 8000HRF-20-110(HF-8-110)051-930-30002